Nipype-SPM fMRI Analysis#
Subject and Group Level Analysis Workflows#
Author: Monika Doerig
Citation:
Wakeman, DG and Henson, RN (2021). Multisubject, multimodal face processing. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds000117.v1.0.5
Wakeman, D.G. & Henson, R.N. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci. Data 2:150001 doi: 10.1038/sdata.2015.1
Useful resources:
Output CPU information#
!cat /proc/cpuinfo | grep 'vendor' | uniq
!cat /proc/cpuinfo | grep 'model name' | uniq
vendor_id : GenuineIntel
model name : Intel(R) Xeon(R) Gold 6126 CPU @ 2.60GHz
Introduction#
The fMRI dataset used for this example is part of a multi-subject, multi-modal (sMRI, fMRI, MEG, EEG) neuroimaging dataset on face processing. It contains data in BIDS format on sixteen healthy volunteers. The data was recoreded while the volunteers performed multiple runs of hundreds of trials of a simple perceptual task on pictures of familiar, unfamiliar and scrambled faces during two visits to the laboratory.
The facial stimuli consisted of two groups of 300 greyscale photos, half of which were of famous people and half of which were of non-famous people (unknown to the participants). Each scrambled face was created either from the famous face or the non-famous face of the same stimulus number. Additionally, each image was presented twice to the participants. The second presentation occurred either immediately after the first presentation (Immediate Repeats) or after 5–15 intervening stimuli (Delayed Repeats), with 50% of each type of repeat. To ensure that each stimulus received equal attention, participants were instructed to use their left or right index finger to press one of two keys (assignment counter-balanced across participants). They determined the symmetry of each image by pressing a key based on whether they perceived it to be ‘more’ or ‘less symmetric’ than average.
In the original paper (Wakeman & Henson, 2015), the repetition manipulation was not distinguished, meaning that initial and repeated presentations were treated identically without considering the timing of the repeats.
To illustrate the setup of a 3x2 factorial design analysis (familiar vs. unfamiliar vs. scrambled faces) x (1st vs. 2nd presentation) in an SPM Nipype workflow, the event files will be adapted accordingly. Each stimulus type will be labeled as either the first or second presentation. However, for simplicity, no distinction is made between immediate and delayed repetitions, resulting in 6 stimulus types (conditions): Familiar-Rep1 (F1), Familiar-Rep2 (F2), Unfamiliar-Rep1 (U1), Unfamiliar-Rep2 (U2), Scrambled-Rep1 (S1), and Scrambled-Rep2 (S2).
Examples of a familiar, unfamiliar and scrambled face:
PATTERN_STIMULI = "stimuli/func/*001.bmp"
!datalad install https://github.com/OpenNeuroDatasets/ds000117.git
!cd ds000117 && git checkout 1.0.5 && datalad get $PATTERN_STIMULI
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[INFO ] scanning for unlocked files (this may take some time)
[INFO ] Remote origin not usable by git-annex; setting annex-ignore
install(ok): /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/ds000117 (dataset)
Updating files: 100% (379/379), done.
Note: switching to '1.0.5'.
You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.
If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:
git switch -c <new-branch-name>
Or undo this operation with:
git switch -
Turn off this advice by setting config variable advice.detachedHead to false
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get(ok): stimuli/func/pf001.bmp (file)
get(ok): stimuli/func/ps001.bmp (file)
get(ok): stimuli/func/pu001.bmp (file)
get(ok): stimuli/func/u001.bmp (file)
get(ok): stimuli/func/s001.bmp (file)
get(ok): stimuli/func/f001.bmp (file)
action summary:
get (ok: 6)
import matplotlib.pyplot as plt
from matplotlib.image import imread
# Load the .bmp images
familiar = imread('ds000117/stimuli/func/f001.bmp')
unfamiliar = imread('ds000117/stimuli/func/u001.bmp')
scrambled = imread('ds000117/stimuli/func/s001.bmp')
# Create a Matplotlib figure with subplots
fig, axes = plt.subplots(1, 3, figsize=(12, 4))
# Plot each image on a subplot
axes[0].imshow(familiar, cmap='gray')
axes[0].set_title('Familiar face')
axes[0].axis('off')
axes[1].imshow(unfamiliar, cmap='gray')
axes[1].set_title('Unfamiliar face')
axes[1].axis('off')
axes[2].imshow(scrambled, cmap='gray')
axes[2].set_title('Scrambled face')
axes[2].axis('off')
plt.tight_layout()
plt.show()
Download Data and install Python modules#
# get func data of the mri session of 9 individuals
PATTERN = "sub-0*/ses-mri/func"
!datalad install https://github.com/OpenNeuroDatasets/ds000117.git
!cd ds000117 && git checkout 1.0.5 && datalad get $PATTERN
install(error): /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/ds000117 (dataset) [target path already exists and not empty, refuse to clone into target path]
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Get sub-08/s .. _bold.nii.gz: 36%|█ | 13.1M/35.9M [00:00<00:01, 18.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 42%|█▎ | 15.0M/35.9M [00:00<00:01, 18.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 52%|█▌ | 18.7M/35.9M [00:01<00:00, 18.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 57%|█▋ | 20.6M/35.9M [00:01<00:00, 18.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 68%|██ | 24.4M/35.9M [00:01<00:00, 18.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 79%|██▎| 28.2M/35.9M [00:01<00:00, 18.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 89%|██▋| 32.0M/35.9M [00:01<00:00, 18.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|██▉| 35.7M/35.9M [00:01<00:00, 18.1M Bytes/s]
Total: 11%|██▉ | 322M/2.93G [00:20<02:45, 15.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/35.8M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 11%|▎ | 3.80M/35.8M [00:00<00:01, 19.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▍ | 5.72M/35.8M [00:00<00:01, 19.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|▊ | 9.55M/35.8M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 32%|▉ | 11.5M/35.8M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 37%|█ | 13.4M/35.8M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 43%|█▎ | 15.3M/35.8M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 53%|█▌ | 19.1M/35.8M [00:01<00:00, 19.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 59%|█▊ | 21.0M/35.8M [00:01<00:00, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 64%|█▉ | 22.9M/35.8M [00:01<00:00, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 69%|██ | 24.9M/35.8M [00:01<00:00, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 75%|██▏| 26.8M/35.8M [00:01<00:00, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 85%|██▌| 30.6M/35.8M [00:01<00:00, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|██▊| 34.2M/35.8M [00:01<00:00, 18.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/35.8M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 5%|▏ | 1.88M/35.8M [00:00<00:01, 18.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 11%|▎ | 3.81M/35.8M [00:00<00:01, 19.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▍ | 5.73M/35.8M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 21%|▋ | 7.66M/35.8M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|▊ | 9.58M/35.8M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 32%|▉ | 11.5M/35.8M [00:00<00:01, 19.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 43%|█▎ | 15.3M/35.8M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 53%|█▌ | 19.1M/35.8M [00:01<00:00, 18.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 59%|█▊ | 21.2M/35.8M [00:01<00:00, 19.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 70%|██ | 25.0M/35.8M [00:01<00:00, 19.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 80%|██▍| 28.7M/35.8M [00:01<00:00, 18.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 86%|██▌| 30.7M/35.8M [00:01<00:00, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|██▉| 34.4M/35.8M [00:01<00:00, 18.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.0M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 11%|▎ | 3.78M/36.0M [00:00<00:01, 18.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 21%|▋ | 7.53M/36.0M [00:00<00:01, 18.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|▊ | 9.63M/36.0M [00:00<00:01, 19.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 37%|█ | 13.5M/36.0M [00:00<00:01, 19.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 48%|█▍ | 17.1M/36.0M [00:00<00:01, 18.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 59%|█▊ | 21.1M/36.0M [00:01<00:00, 19.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 69%|██ | 24.7M/36.0M [00:01<00:00, 18.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 75%|██▏| 26.8M/36.0M [00:01<00:00, 19.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 85%|██▌| 30.5M/36.0M [00:01<00:00, 18.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|██▊| 34.4M/36.0M [00:01<00:00, 19.2M Bytes/s]
Total: 15%|███▉ | 430M/2.93G [00:27<02:37, 15.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.1M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 10%|▎ | 3.79M/36.1M [00:00<00:01, 18.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 21%|▋ | 7.52M/36.1M [00:00<00:01, 18.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|▊ | 9.54M/36.1M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 37%|█ | 13.2M/36.1M [00:00<00:01, 18.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 42%|█▎ | 15.2M/36.1M [00:00<00:01, 18.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 47%|█▍ | 17.1M/36.1M [00:00<00:00, 19.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 53%|█▌ | 19.0M/36.1M [00:01<00:00, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 58%|█▋ | 21.0M/36.1M [00:01<00:00, 19.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 69%|██ | 24.9M/36.1M [00:01<00:00, 19.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 80%|██▍| 28.7M/36.1M [00:01<00:00, 19.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 88%|██▋| 31.8M/36.1M [00:01<00:00, 17.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 93%|██▊| 33.6M/36.1M [00:01<00:00, 17.4M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 12%|▎ | 4.45M/36.1M [00:00<00:02, 14.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▍ | 5.94M/36.1M [00:00<00:02, 14.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 21%|▌ | 7.46M/36.1M [00:00<00:01, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 25%|▋ | 9.00M/36.1M [00:00<00:01, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 29%|▉ | 10.5M/36.1M [00:00<00:01, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 33%|█ | 12.1M/36.1M [00:00<00:01, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 38%|█▏ | 13.7M/36.1M [00:00<00:01, 15.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 42%|█▎ | 15.3M/36.1M [00:01<00:01, 15.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 47%|█▍ | 16.8M/36.1M [00:01<00:01, 15.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 55%|█▋ | 19.9M/36.1M [00:01<00:01, 15.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 60%|█▊ | 21.5M/36.1M [00:01<00:00, 15.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 64%|█▉ | 23.1M/36.1M [00:01<00:00, 15.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 72%|██▏| 26.0M/36.1M [00:01<00:00, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 77%|██▎| 27.6M/36.1M [00:01<00:00, 15.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 82%|██▍| 29.6M/36.1M [00:01<00:00, 16.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 91%|██▋| 32.9M/36.1M [00:02<00:00, 16.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|██▊| 34.5M/36.1M [00:02<00:00, 16.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.1M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 10%|▎ | 3.48M/36.1M [00:00<00:01, 17.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 14%|▍ | 5.23M/36.1M [00:00<00:01, 17.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 24%|▋ | 8.66M/36.1M [00:00<00:01, 17.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 34%|█ | 12.2M/36.1M [00:00<00:01, 17.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 39%|█▏ | 14.0M/36.1M [00:00<00:01, 17.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 44%|█▎ | 15.8M/36.1M [00:00<00:01, 17.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 53%|█▌ | 19.1M/36.1M [00:01<00:00, 17.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 58%|█▋ | 20.9M/36.1M [00:01<00:00, 17.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 64%|█▉ | 23.1M/36.1M [00:01<00:00, 18.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 74%|██▏| 26.7M/36.1M [00:01<00:00, 18.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 84%|██▌| 30.3M/36.1M [00:01<00:00, 18.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 94%|██▊| 33.8M/36.1M [00:01<00:00, 17.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|██▉| 35.8M/36.1M [00:02<00:00, 18.2M Bytes/s]
Total: 18%|████▉ | 538M/2.93G [00:34<02:33, 15.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.1M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 5%|▏ | 1.82M/36.1M [00:00<00:01, 18.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 10%|▎ | 3.68M/36.1M [00:00<00:01, 17.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▍ | 5.75M/36.1M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|▊ | 9.54M/36.1M [00:00<00:01, 19.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 37%|█ | 13.4M/36.1M [00:00<00:01, 19.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 48%|█▍ | 17.2M/36.1M [00:00<00:00, 19.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 58%|█▋ | 21.0M/36.1M [00:01<00:00, 19.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 68%|██ | 24.7M/36.1M [00:01<00:00, 18.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 74%|██▏| 26.6M/36.1M [00:01<00:00, 18.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 84%|██▌| 30.4M/36.1M [00:01<00:00, 19.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 90%|██▋| 32.5M/36.1M [00:01<00:00, 18.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.2M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 5%|▏ | 1.86M/36.2M [00:00<00:01, 18.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 11%|▎ | 3.81M/36.2M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▍ | 5.73M/36.2M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|▊ | 9.25M/36.2M [00:00<00:01, 18.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 31%|▉ | 11.3M/36.2M [00:00<00:01, 18.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 37%|█ | 13.3M/36.2M [00:00<00:01, 19.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 42%|█▎ | 15.2M/36.2M [00:00<00:01, 19.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 47%|█▍ | 17.2M/36.2M [00:00<00:00, 19.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 53%|█▌ | 19.1M/36.2M [00:01<00:00, 19.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 58%|█▋ | 21.1M/36.2M [00:01<00:00, 19.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 64%|█▉ | 23.1M/36.2M [00:01<00:00, 19.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 75%|██▏| 27.0M/36.2M [00:01<00:00, 19.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 80%|██▍| 29.0M/36.2M [00:01<00:00, 19.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 90%|██▋| 32.6M/36.2M [00:01<00:00, 18.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|██▉| 34.8M/36.2M [00:01<00:00, 19.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.2M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 5%|▏ | 1.96M/36.2M [00:00<00:01, 19.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▍ | 5.89M/36.2M [00:00<00:01, 19.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|▊ | 9.81M/36.2M [00:00<00:01, 19.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 38%|█▏ | 13.7M/36.2M [00:00<00:01, 19.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 49%|█▍ | 17.6M/36.2M [00:00<00:00, 19.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 58%|█▊ | 21.1M/36.2M [00:01<00:00, 18.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 65%|█▉ | 23.4M/36.2M [00:01<00:00, 19.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 75%|██▎| 27.2M/36.2M [00:01<00:00, 19.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 81%|██▍| 29.3M/36.2M [00:01<00:00, 19.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 92%|██▋| 33.1M/36.2M [00:01<00:00, 19.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|██▉| 35.2M/36.2M [00:01<00:00, 19.7M Bytes/s]
Total: 22%|█████▉ | 646M/2.93G [00:41<02:26, 15.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/35.3M [00:00<?, ? Bytes/s]
Get sub-07/s .. _bold.nii.gz: 11%|▎ | 3.82M/35.3M [00:00<00:01, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 16%|▍ | 5.76M/35.3M [00:00<00:01, 17.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 22%|▋ | 7.71M/35.3M [00:00<00:01, 18.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 33%|▉ | 11.5M/35.3M [00:00<00:01, 18.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 38%|█▏ | 13.5M/35.3M [00:00<00:01, 18.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|█▎ | 15.4M/35.3M [00:00<00:01, 19.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 55%|█▋ | 19.4M/35.3M [00:01<00:00, 19.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 61%|█▊ | 21.4M/35.3M [00:01<00:00, 19.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 71%|██▏| 25.2M/35.3M [00:01<00:00, 19.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 77%|██▎| 27.3M/35.3M [00:01<00:00, 19.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 87%|██▌| 30.6M/35.3M [00:01<00:00, 18.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|██▉| 34.4M/35.3M [00:01<00:00, 18.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/35.2M [00:00<?, ? Bytes/s]
Get sub-07/s .. _bold.nii.gz: 11%|▎ | 3.94M/35.2M [00:00<00:01, 19.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 17%|▌ | 5.94M/35.2M [00:00<00:01, 19.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 28%|▊ | 9.92M/35.2M [00:00<00:01, 19.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 39%|█▏ | 13.9M/35.2M [00:00<00:01, 19.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 51%|█▌ | 17.9M/35.2M [00:00<00:00, 19.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 56%|█▋ | 19.9M/35.2M [00:01<00:00, 19.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 68%|██ | 23.8M/35.2M [00:01<00:00, 19.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 79%|██▎| 27.8M/35.2M [00:01<00:00, 19.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 84%|██▌| 29.8M/35.2M [00:01<00:00, 19.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 90%|██▋| 31.7M/35.2M [00:01<00:00, 19.8M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 17%|▌ | 5.99M/35.3M [00:00<00:01, 20.0M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 28%|▊ | 10.0M/35.3M [00:00<00:01, 20.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 34%|█ | 12.0M/35.3M [00:00<00:01, 20.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|█▏ | 14.1M/35.3M [00:00<00:01, 20.1M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 51%|█▌ | 18.1M/35.3M [00:00<00:00, 20.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 57%|█▋ | 20.1M/35.3M [00:01<00:00, 20.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 68%|██ | 23.8M/35.3M [00:01<00:00, 19.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 74%|██▏| 26.1M/35.3M [00:01<00:00, 20.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 85%|██▌| 30.1M/35.3M [00:01<00:00, 20.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 96%|██▊| 33.7M/35.3M [00:01<00:00, 19.3M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 12%|▎ | 4.07M/35.1M [00:00<00:01, 20.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 23%|▋ | 7.96M/35.1M [00:00<00:01, 19.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 29%|▊ | 10.2M/35.1M [00:00<00:01, 20.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 41%|█▏ | 14.5M/35.1M [00:00<00:00, 20.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 52%|█▌ | 18.4M/35.1M [00:00<00:00, 20.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 58%|█▋ | 20.5M/35.1M [00:01<00:00, 20.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 65%|█▉ | 22.9M/35.1M [00:01<00:00, 21.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 77%|██▎| 27.0M/35.1M [00:01<00:00, 20.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 89%|██▋| 31.2M/35.1M [00:01<00:00, 20.9M Bytes/s]
Total: 27%|███████▏ | 787M/2.93G [00:50<02:16, 15.7M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 12%|▎ | 4.31M/35.3M [00:00<00:02, 13.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 18%|▌ | 6.52M/35.3M [00:00<00:01, 16.6M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 37%|█ | 13.1M/35.3M [00:00<00:01, 16.5M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 56%|█▋ | 19.6M/35.3M [00:01<00:00, 15.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 60%|█▊ | 21.3M/35.3M [00:01<00:00, 15.9M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 75%|██▏| 26.4M/35.3M [00:01<00:00, 16.5M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 95%|██▊| 33.5M/35.3M [00:02<00:00, 17.4M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 21%|▌ | 7.30M/35.2M [00:00<00:01, 18.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 26%|▊ | 9.13M/35.2M [00:00<00:01, 18.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 31%|▉ | 11.0M/35.2M [00:00<00:01, 18.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 37%|█ | 12.9M/35.2M [00:00<00:01, 18.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 42%|█▎ | 14.8M/35.2M [00:00<00:01, 18.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 52%|█▌ | 18.2M/35.2M [00:01<00:00, 17.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 59%|█▊ | 20.9M/35.2M [00:01<00:00, 14.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 66%|█▉ | 23.2M/35.2M [00:01<00:00, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 74%|██▏| 26.1M/35.2M [00:01<00:00, 15.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 82%|██▍| 28.8M/35.2M [00:01<00:00, 14.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 90%|██▋| 31.7M/35.2M [00:01<00:00, 14.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|██▉| 34.6M/35.2M [00:02<00:00, 14.4M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 21%|▋ | 7.50M/35.2M [00:00<00:01, 15.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 26%|▊ | 9.04M/35.2M [00:00<00:01, 15.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 34%|█ | 11.9M/35.2M [00:00<00:01, 14.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 39%|█▏ | 13.6M/35.2M [00:00<00:01, 15.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|█▎ | 15.2M/35.2M [00:01<00:01, 15.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 52%|█▌ | 18.3M/35.2M [00:01<00:01, 15.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 61%|█▊ | 21.4M/35.2M [00:01<00:00, 14.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 65%|█▉ | 23.0M/35.2M [00:01<00:00, 14.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 70%|██ | 24.5M/35.2M [00:01<00:00, 14.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 74%|██▏| 26.1M/35.2M [00:01<00:00, 15.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 79%|██▎| 27.7M/35.2M [00:01<00:00, 15.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 83%|██▍| 29.3M/35.2M [00:01<00:00, 15.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 91%|██▋| 32.2M/35.2M [00:02<00:00, 15.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 96%|██▉| 33.9M/35.2M [00:02<00:00, 15.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/35.3M [00:00<?, ? Bytes/s]
Get sub-07/s .. _bold.nii.gz: 9%|▎ | 3.24M/35.3M [00:00<00:01, 16.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 14%|▍ | 4.87M/35.3M [00:00<00:01, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 23%|▋ | 7.97M/35.3M [00:00<00:01, 15.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 31%|▉ | 10.9M/35.3M [00:00<00:01, 15.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 36%|█ | 12.8M/35.3M [00:00<00:01, 16.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|█▎ | 16.0M/35.3M [00:01<00:01, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 55%|█▋ | 19.3M/35.3M [00:01<00:00, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 64%|█▉ | 22.4M/35.3M [00:01<00:00, 15.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 69%|██ | 24.2M/35.3M [00:01<00:00, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 78%|██▎| 27.5M/35.3M [00:01<00:00, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 87%|██▌| 30.6M/35.3M [00:01<00:00, 16.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 91%|██▋| 32.2M/35.3M [00:02<00:00, 15.9M Bytes/s]
Total: 32%|████████▌ | 928M/2.93G [01:00<02:10, 15.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/35.2M [00:00<?, ? Bytes/s]
Get sub-07/s .. _bold.nii.gz: 9%|▎ | 3.30M/35.2M [00:00<00:01, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 14%|▍ | 4.97M/35.2M [00:00<00:01, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 23%|▋ | 8.13M/35.2M [00:00<00:01, 16.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 28%|▊ | 9.97M/35.2M [00:00<00:01, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 38%|█▏ | 13.2M/35.2M [00:00<00:01, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 47%|█▍ | 16.6M/35.2M [00:01<00:01, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 52%|█▌ | 18.3M/35.2M [00:01<00:01, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 57%|█▋ | 20.0M/35.2M [00:01<00:00, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 66%|█▉ | 23.2M/35.2M [00:01<00:00, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 71%|██ | 24.9M/35.2M [00:01<00:00, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 80%|██▍| 28.2M/35.2M [00:01<00:00, 15.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 85%|██▌| 29.8M/35.2M [00:01<00:00, 15.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 89%|██▋| 31.5M/35.2M [00:01<00:00, 15.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 94%|██▊| 33.1M/35.2M [00:02<00:00, 15.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|██▉| 34.9M/35.2M [00:02<00:00, 16.1M Bytes/s]
Total: 33%|████████▊ | 963M/2.93G [01:03<02:08, 15.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/36.4M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 4%|▏ | 1.60M/36.4M [00:00<00:02, 16.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 9%|▎ | 3.26M/36.4M [00:00<00:02, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 14%|▍ | 4.93M/36.4M [00:00<00:01, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 18%|▌ | 6.60M/36.4M [00:00<00:01, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 23%|▋ | 8.27M/36.4M [00:00<00:01, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 32%|▉ | 11.8M/36.4M [00:00<00:01, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 41%|█▏ | 15.1M/36.4M [00:00<00:01, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 46%|█▍ | 16.7M/36.4M [00:01<00:01, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 54%|█▌ | 19.6M/36.4M [00:01<00:01, 15.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 59%|█▊ | 21.6M/36.4M [00:01<00:00, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 68%|██ | 24.9M/36.4M [00:01<00:00, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 77%|██▎| 28.1M/36.4M [00:01<00:00, 16.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 86%|██▌| 31.3M/36.4M [00:01<00:00, 15.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 90%|██▋| 32.9M/36.4M [00:02<00:00, 15.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 95%|██▊| 34.6M/36.4M [00:02<00:00, 15.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|██▉| 36.2M/36.4M [00:02<00:00, 16.0M Bytes/s]
Total: 34%|████████▊ | 1.00G/2.93G [01:05<02:06, 15.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/36.5M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 9%|▎ | 3.28M/36.5M [00:00<00:02, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 14%|▍ | 4.97M/36.5M [00:00<00:01, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 18%|▌ | 6.65M/36.5M [00:00<00:01, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 27%|▊ | 9.78M/36.5M [00:00<00:01, 16.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 32%|▉ | 11.5M/36.5M [00:00<00:01, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 37%|█ | 13.4M/36.5M [00:00<00:01, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 46%|█▎ | 16.7M/36.5M [00:01<00:01, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 55%|█▋ | 20.1M/36.5M [00:01<00:00, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 64%|█▉ | 23.2M/36.5M [00:01<00:00, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 72%|██▏| 26.2M/36.5M [00:01<00:00, 15.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 77%|██▎| 28.1M/36.5M [00:01<00:00, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 86%|██▌| 31.5M/36.5M [00:01<00:00, 16.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 95%|██▊| 34.8M/36.5M [00:02<00:00, 16.1M Bytes/s]
Total: 35%|█████████▏ | 1.04G/2.93G [01:08<02:05, 15.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/36.6M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 5%|▏ | 1.69M/36.6M [00:00<00:02, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 9%|▎ | 3.41M/36.6M [00:00<00:01, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 19%|▌ | 6.83M/36.6M [00:00<00:01, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|▊ | 10.2M/36.6M [00:00<00:01, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 33%|▉ | 11.9M/36.6M [00:00<00:01, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 37%|█ | 13.7M/36.6M [00:00<00:01, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 42%|█▎ | 15.4M/36.6M [00:00<00:01, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 51%|█▌ | 18.8M/36.6M [00:01<00:01, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 60%|█▊ | 22.0M/36.6M [00:01<00:00, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 65%|█▉ | 23.9M/36.6M [00:01<00:00, 17.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 75%|██▎| 27.5M/36.6M [00:01<00:00, 17.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 84%|██▌| 30.8M/36.6M [00:01<00:00, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 89%|██▋| 32.6M/36.6M [00:01<00:00, 17.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|██▉| 36.1M/36.6M [00:02<00:00, 17.2M Bytes/s]
Total: 37%|█████████▌ | 1.07G/2.93G [01:10<02:02, 15.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/36.6M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 5%|▏ | 1.72M/36.6M [00:00<00:02, 17.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 10%|▎ | 3.53M/36.6M [00:00<00:01, 17.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 15%|▍ | 5.38M/36.6M [00:00<00:01, 18.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 20%|▌ | 7.20M/36.6M [00:00<00:01, 18.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 25%|▋ | 9.03M/36.6M [00:00<00:01, 18.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 30%|▉ | 10.9M/36.6M [00:00<00:01, 18.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▏ | 14.4M/36.6M [00:00<00:01, 17.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 44%|█▎ | 16.3M/36.6M [00:00<00:01, 17.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 55%|█▋ | 20.1M/36.6M [00:01<00:00, 18.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 65%|█▉ | 23.9M/36.6M [00:01<00:00, 18.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 75%|██▎| 27.5M/36.6M [00:01<00:00, 18.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 80%|██▍| 29.4M/36.6M [00:01<00:00, 18.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 86%|██▌| 31.3M/36.6M [00:01<00:00, 18.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 91%|██▋| 33.4M/36.6M [00:01<00:00, 18.8M Bytes/s]
Total: 38%|█████████▊ | 1.11G/2.93G [01:13<02:00, 15.1M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 16%|▍ | 5.85M/36.5M [00:00<00:01, 19.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 27%|▊ | 9.97M/36.5M [00:00<00:01, 20.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 33%|▉ | 12.0M/36.5M [00:00<00:01, 20.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▏ | 14.0M/36.5M [00:00<00:01, 20.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 44%|█▎ | 16.1M/36.5M [00:00<00:01, 20.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 50%|█▍ | 18.1M/36.5M [00:00<00:00, 20.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 78%|██▎| 28.5M/36.5M [00:01<00:00, 20.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 84%|██▌| 30.7M/36.5M [00:01<00:00, 21.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 90%|██▋| 32.9M/36.5M [00:01<00:00, 21.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 5%|▏ | 1.86M/36.5M [00:00<00:02, 17.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 13%|▍ | 4.84M/36.5M [00:00<00:02, 15.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 19%|▌ | 6.92M/36.5M [00:00<00:01, 17.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|▊ | 10.2M/36.5M [00:00<00:01, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 37%|█ | 13.4M/36.5M [00:00<00:01, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 46%|█▍ | 16.8M/36.5M [00:01<00:01, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 55%|█▋ | 20.1M/36.5M [00:01<00:01, 16.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 60%|█▊ | 21.9M/36.5M [00:01<00:00, 16.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 65%|█▉ | 23.6M/36.5M [00:01<00:00, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 70%|██ | 25.4M/36.5M [00:01<00:00, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 74%|██▏| 27.1M/36.5M [00:01<00:00, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 84%|██▌| 30.6M/36.5M [00:01<00:00, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 89%|██▋| 32.4M/36.5M [00:01<00:00, 17.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 94%|██▊| 34.2M/36.5M [00:02<00:00, 17.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|██▉| 36.0M/36.5M [00:02<00:00, 17.6M Bytes/s]
Total: 40%|██████████▍ | 1.18G/2.93G [01:18<01:55, 15.1M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 26%|▊ | 9.45M/36.5M [00:00<00:01, 18.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 31%|▉ | 11.4M/36.5M [00:00<00:01, 19.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 42%|█▎ | 15.2M/36.5M [00:00<00:01, 19.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 47%|█▍ | 17.2M/36.5M [00:00<00:01, 19.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 52%|█▌ | 19.2M/36.5M [00:01<00:00, 19.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 58%|█▋ | 21.1M/36.5M [00:01<00:00, 19.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 63%|█▉ | 23.1M/36.5M [00:01<00:00, 19.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 74%|██▏| 26.9M/36.5M [00:01<00:00, 19.2M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 17%|▌ | 6.24M/36.5M [00:00<00:01, 20.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|▊ | 10.2M/36.5M [00:00<00:01, 20.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█ | 12.4M/36.5M [00:00<00:01, 20.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 46%|█▎ | 16.6M/36.5M [00:00<00:00, 20.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 56%|█▋ | 20.3M/36.5M [00:01<00:00, 19.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 80%|██▍| 29.1M/36.5M [00:01<00:00, 21.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 86%|██▌| 31.4M/36.5M [00:01<00:00, 21.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|██▉| 35.3M/36.5M [00:01<00:00, 20.7M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 12%|▎ | 4.35M/36.5M [00:00<00:02, 13.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 18%|▌ | 6.65M/36.5M [00:00<00:01, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 27%|▊ | 9.87M/36.5M [00:00<00:01, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 36%|█ | 13.0M/36.5M [00:00<00:01, 16.2M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 53%|█▌ | 19.3M/36.5M [00:01<00:01, 15.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 57%|█▋ | 20.9M/36.5M [00:01<00:01, 15.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 62%|█▊ | 22.5M/36.5M [00:01<00:00, 15.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 67%|█▉ | 24.3M/36.5M [00:01<00:00, 15.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 71%|██▏| 25.9M/36.5M [00:01<00:00, 15.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 76%|██▎| 27.6M/36.5M [00:01<00:00, 16.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 84%|██▌| 30.8M/36.5M [00:01<00:00, 16.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 89%|██▋| 32.5M/36.5M [00:02<00:00, 16.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 98%|██▉| 35.9M/36.5M [00:02<00:00, 16.4M Bytes/s]
Total: 44%|███████████▍ | 1.29G/2.93G [01:25<01:48, 15.2M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 38%|█▏ | 13.9M/36.4M [00:00<00:01, 17.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 47%|█▍ | 17.2M/36.4M [00:01<00:01, 17.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 57%|█▋ | 20.7M/36.4M [00:01<00:00, 17.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 62%|█▊ | 22.5M/36.4M [00:01<00:00, 17.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 67%|██ | 24.4M/36.4M [00:01<00:00, 17.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 77%|██▎| 28.0M/36.4M [00:01<00:00, 17.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 87%|██▌| 31.5M/36.4M [00:01<00:00, 17.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|██▉| 35.0M/36.4M [00:02<00:00, 17.1M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 10%|▎ | 3.61M/36.5M [00:00<00:01, 18.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 20%|▌ | 7.31M/36.5M [00:00<00:01, 18.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 25%|▊ | 9.13M/36.5M [00:00<00:01, 18.2M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 50%|█▍ | 18.1M/36.5M [00:01<00:01, 17.7M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 75%|██▎| 27.3M/36.5M [00:01<00:00, 18.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 85%|██▌| 31.0M/36.5M [00:01<00:00, 17.7M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 20%|▌ | 7.38M/36.5M [00:00<00:01, 18.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 25%|▊ | 9.25M/36.5M [00:00<00:01, 18.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 30%|▉ | 11.1M/36.5M [00:00<00:01, 18.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 35%|█ | 13.0M/36.5M [00:00<00:01, 18.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 41%|█▏ | 14.8M/36.5M [00:00<00:01, 18.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 46%|█▎ | 16.7M/36.5M [00:00<00:01, 18.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 56%|█▋ | 20.3M/36.5M [00:01<00:00, 18.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 65%|█▉ | 23.6M/36.5M [00:01<00:00, 17.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 70%|██ | 25.7M/36.5M [00:01<00:00, 18.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 80%|██▍| 29.4M/36.5M [00:01<00:00, 18.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|██▋| 33.1M/36.5M [00:01<00:00, 17.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/36.6M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 10%|▎ | 3.69M/36.6M [00:00<00:01, 18.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 15%|▍ | 5.54M/36.6M [00:00<00:01, 18.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 25%|▊ | 9.23M/36.6M [00:00<00:01, 18.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 36%|█ | 13.1M/36.6M [00:00<00:01, 18.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 45%|█▎ | 16.5M/36.6M [00:00<00:01, 18.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 55%|█▋ | 20.1M/36.6M [00:01<00:00, 18.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 61%|█▊ | 22.1M/36.6M [00:01<00:00, 18.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 70%|██ | 25.6M/36.6M [00:01<00:00, 18.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 81%|██▍| 29.5M/36.6M [00:01<00:00, 18.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|██▋| 33.1M/36.6M [00:01<00:00, 18.2M Bytes/s]
Total: 49%|████████████▋ | 1.44G/2.93G [01:35<01:38, 15.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/36.6M [00:00<?, ? Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 9%|▎ | 3.17M/36.6M [00:00<00:02, 16.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 18%|▌ | 6.42M/36.6M [00:00<00:01, 16.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 22%|▋ | 8.07M/36.6M [00:00<00:01, 16.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|▊ | 10.1M/36.6M [00:00<00:01, 17.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 37%|█ | 13.6M/36.6M [00:00<00:01, 17.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 42%|█▎ | 15.5M/36.6M [00:00<00:01, 17.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 48%|█▍ | 17.5M/36.6M [00:01<00:01, 18.3M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 67%|██ | 24.6M/36.6M [00:01<00:00, 17.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 72%|██▏| 26.4M/36.6M [00:01<00:00, 17.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 77%|██▎| 28.3M/36.6M [00:01<00:00, 17.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 87%|██▌| 31.9M/36.6M [00:01<00:00, 17.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|██▊| 33.8M/36.6M [00:01<00:00, 18.1M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 15%|▍ | 5.63M/36.6M [00:00<00:01, 18.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 30%|▉ | 11.2M/36.6M [00:00<00:01, 18.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 61%|█▊ | 22.3M/36.6M [00:01<00:00, 18.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 66%|█▉ | 24.2M/36.6M [00:01<00:00, 18.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 40%|█▏ | 14.5M/36.7M [00:00<00:01, 20.7M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 57%|█▋ | 20.9M/36.7M [00:01<00:00, 21.0M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 80%|██▍| 29.5M/36.7M [00:01<00:00, 21.3M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 97%|██▉| 35.6M/36.7M [00:01<00:00, 21.0M Bytes/s]
Total: 54%|██████████████ | 1.58G/2.93G [01:44<01:28, 15.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 100%|██▉| 36.8M/37.0M [00:01<00:00, 20.3M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 14%|▍ | 5.12M/37.1M [00:00<00:01, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 19%|▌ | 6.88M/37.1M [00:00<00:01, 17.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 23%|▋ | 8.61M/37.1M [00:00<00:01, 17.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|▉ | 12.2M/37.1M [00:00<00:01, 17.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▏ | 14.0M/37.1M [00:00<00:01, 17.6M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 57%|█▋ | 21.1M/37.1M [00:01<00:00, 17.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 66%|█▉ | 24.5M/37.1M [00:01<00:00, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 71%|██ | 26.3M/37.1M [00:01<00:00, 17.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 76%|██▎| 28.1M/37.1M [00:01<00:00, 17.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 81%|██▍| 29.9M/37.1M [00:01<00:00, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 85%|██▌| 31.6M/37.1M [00:01<00:00, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 90%|██▋| 33.4M/37.1M [00:01<00:00, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 95%|██▊| 35.2M/37.1M [00:02<00:00, 17.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 100%|██▉| 37.0M/37.1M [00:02<00:00, 17.6M Bytes/s]
Total: 59%|███████████████▎ | 1.73G/2.93G [01:53<01:18, 15.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 73%|██▏| 27.3M/37.2M [00:01<00:00, 18.4M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 93%|██▊| 34.6M/37.2M [00:01<00:00, 17.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 15%|▍ | 5.56M/37.2M [00:00<00:01, 18.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 20%|▌ | 7.43M/37.2M [00:00<00:01, 18.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 30%|▉ | 11.1M/37.2M [00:00<00:01, 18.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▏ | 14.7M/37.2M [00:00<00:01, 18.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 44%|█▎ | 16.6M/37.2M [00:00<00:01, 18.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 49%|█▍ | 18.4M/37.2M [00:01<00:01, 18.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 54%|█▋ | 20.3M/37.2M [00:01<00:00, 18.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 59%|█▊ | 22.1M/37.2M [00:01<00:00, 18.4M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 99%|██▉| 36.9M/37.2M [00:02<00:00, 17.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 19%|▌ | 7.11M/37.1M [00:00<00:01, 17.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 24%|▋ | 8.96M/37.1M [00:00<00:01, 17.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 29%|▊ | 10.8M/37.1M [00:00<00:01, 17.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 49%|█▍ | 18.2M/37.1M [00:01<00:01, 18.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 59%|█▊ | 21.8M/37.1M [00:01<00:00, 18.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 69%|██ | 25.5M/37.1M [00:01<00:00, 18.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 74%|██▏| 27.3M/37.1M [00:01<00:00, 18.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 83%|██▍| 30.8M/37.1M [00:01<00:00, 18.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 93%|██▊| 34.4M/37.1M [00:01<00:00, 17.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|██▉| 36.4M/37.1M [00:02<00:00, 18.3M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 10%|▎ | 3.70M/37.1M [00:00<00:01, 18.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 20%|▌ | 7.53M/37.1M [00:00<00:01, 18.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 30%|▉ | 11.1M/37.1M [00:00<00:01, 18.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█ | 13.1M/37.1M [00:00<00:01, 18.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 45%|█▎ | 16.8M/37.1M [00:00<00:01, 18.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 51%|█▌ | 18.7M/37.1M [00:01<00:00, 18.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 61%|█▊ | 22.5M/37.1M [00:01<00:00, 18.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 70%|██ | 26.1M/37.1M [00:01<00:00, 18.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 81%|██▍| 29.9M/37.1M [00:01<00:00, 18.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 86%|██▌| 31.8M/37.1M [00:01<00:00, 17.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 91%|██▋| 33.6M/37.1M [00:01<00:00, 17.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|██▊| 35.5M/37.1M [00:01<00:00, 18.1M Bytes/s]
Total: 64%|████████████████▋ | 1.88G/2.93G [02:03<01:09, 15.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 0%| | 0.00/37.1M [00:00<?, ? Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 15%|▍ | 5.67M/37.1M [00:00<00:01, 18.9M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 36%|█ | 13.3M/37.1M [00:00<00:01, 19.0M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 52%|█▌ | 18.4M/35.4M [00:01<00:00, 18.5M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 11%|▎ | 3.88M/35.4M [00:00<00:01, 19.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 19%|▌ | 6.74M/35.4M [00:00<00:01, 16.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 27%|▊ | 9.59M/35.4M [00:00<00:01, 15.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 35%|█ | 12.5M/35.4M [00:00<00:01, 15.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 43%|█▎ | 15.3M/35.4M [00:01<00:01, 14.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 47%|█▍ | 16.8M/35.4M [00:01<00:01, 14.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 52%|█▌ | 18.3M/35.4M [00:01<00:01, 14.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 56%|█▋ | 19.8M/35.4M [00:01<00:01, 14.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 64%|█▉ | 22.8M/35.4M [00:01<00:00, 13.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 69%|██ | 24.3M/35.4M [00:01<00:00, 14.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 73%|██▏| 25.8M/35.4M [00:01<00:00, 14.3M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 82%|██▍| 28.9M/35.4M [00:01<00:00, 14.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 86%|██▌| 30.4M/35.4M [00:02<00:00, 14.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 90%|██▋| 32.0M/35.4M [00:02<00:00, 15.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|██▉| 34.8M/35.4M [00:02<00:00, 14.7M Bytes/s]
Total: 70%|██████████████████▎ | 2.06G/2.93G [02:19<00:58, 14.8M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 31%|▉ | 11.1M/35.5M [00:00<00:01, 15.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 36%|█ | 12.8M/35.5M [00:00<00:01, 16.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 45%|█▎ | 16.0M/35.5M [00:01<00:01, 15.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 50%|█▌ | 17.8M/35.5M [00:01<00:01, 16.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 58%|█▋ | 20.7M/35.5M [00:01<00:00, 15.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 64%|█▉ | 22.7M/35.5M [00:01<00:00, 15.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 73%|██▏| 25.9M/35.5M [00:01<00:00, 15.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 82%|██▍| 29.2M/35.5M [00:01<00:00, 15.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 91%|██▋| 32.4M/35.5M [00:02<00:00, 15.9M Bytes/s]
Total: 71%|██████████████████▌ | 2.10G/2.93G [02:21<00:56, 14.8M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 9%|▎ | 3.26M/35.6M [00:00<00:01, 16.3M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 28%|▊ | 9.98M/35.6M [00:00<00:01, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 37%|█ | 13.2M/35.6M [00:00<00:01, 16.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 42%|█▎ | 15.0M/35.6M [00:00<00:01, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 52%|█▌ | 18.4M/35.6M [00:01<00:01, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 56%|█▋ | 20.1M/35.6M [00:01<00:00, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 66%|█▉ | 23.3M/35.6M [00:01<00:00, 16.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 71%|██ | 25.2M/35.6M [00:01<00:00, 17.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 80%|██▍| 28.4M/35.6M [00:01<00:00, 15.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 85%|██▌| 30.1M/35.6M [00:01<00:00, 15.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 89%|██▋| 31.7M/35.6M [00:01<00:00, 16.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 94%|██▊| 33.5M/35.6M [00:02<00:00, 16.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|██▉| 35.1M/35.6M [00:02<00:00, 16.4M Bytes/s]
Total: 73%|██████████████████▉ | 2.13G/2.93G [02:24<00:54, 14.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.6M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 9%|▎ | 3.37M/35.6M [00:00<00:01, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 19%|▌ | 6.61M/35.6M [00:00<00:01, 16.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 24%|▋ | 8.38M/35.6M [00:00<00:01, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 33%|▉ | 11.8M/35.6M [00:00<00:01, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 42%|█▎ | 15.1M/35.6M [00:00<00:01, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 47%|█▍ | 16.8M/35.6M [00:01<00:01, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 57%|█▋ | 20.2M/35.6M [00:01<00:00, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 66%|█▉ | 23.4M/35.6M [00:01<00:00, 16.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 70%|██ | 25.0M/35.6M [00:01<00:00, 16.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 75%|██▎| 26.9M/35.6M [00:01<00:00, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 85%|██▌| 30.3M/35.6M [00:01<00:00, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 94%|██▊| 33.5M/35.6M [00:02<00:00, 16.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|██▉| 35.2M/35.6M [00:02<00:00, 15.9M Bytes/s]
Total: 74%|███████████████████▏ | 2.17G/2.93G [02:26<00:51, 14.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.7M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 10%|▎ | 3.39M/35.7M [00:00<00:01, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 14%|▍ | 5.10M/35.7M [00:00<00:01, 17.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 24%|▋ | 8.49M/35.7M [00:00<00:01, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 33%|▉ | 11.9M/35.7M [00:00<00:01, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 38%|█▏ | 13.6M/35.7M [00:00<00:01, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 43%|█▎ | 15.3M/35.7M [00:00<00:01, 17.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 52%|█▌ | 18.6M/35.7M [00:01<00:01, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 57%|█▋ | 20.4M/35.7M [00:01<00:00, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 67%|█▉ | 23.8M/35.7M [00:01<00:00, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 76%|██▎| 27.0M/35.7M [00:01<00:00, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 85%|██▌| 30.3M/35.7M [00:01<00:00, 16.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 94%|██▊| 33.6M/35.7M [00:02<00:00, 16.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|██▉| 35.3M/35.7M [00:02<00:00, 16.3M Bytes/s]
Total: 75%|███████████████████▌ | 2.20G/2.93G [02:29<00:49, 14.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.7M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 10%|▎ | 3.44M/35.7M [00:00<00:01, 17.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 14%|▍ | 5.16M/35.7M [00:00<00:01, 17.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 19%|▌ | 6.88M/35.7M [00:00<00:01, 17.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 24%|▋ | 8.60M/35.7M [00:00<00:01, 17.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 29%|▊ | 10.4M/35.7M [00:00<00:01, 17.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 39%|█▏ | 13.8M/35.7M [00:00<00:01, 17.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 48%|█▍ | 17.2M/35.7M [00:01<00:01, 17.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 58%|█▋ | 20.7M/35.7M [00:01<00:00, 17.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 63%|█▉ | 22.4M/35.7M [00:01<00:00, 17.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 72%|██▏| 25.7M/35.7M [00:01<00:00, 17.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 77%|██▎| 27.5M/35.7M [00:01<00:00, 17.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 86%|██▌| 30.9M/35.7M [00:01<00:00, 16.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 91%|██▋| 32.5M/35.7M [00:01<00:00, 16.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 96%|██▉| 34.3M/35.7M [00:02<00:00, 16.5M Bytes/s]
Total: 76%|███████████████████▊ | 2.24G/2.93G [02:31<00:47, 14.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.7M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 5%|▏ | 1.71M/35.7M [00:00<00:01, 17.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 10%|▎ | 3.44M/35.7M [00:00<00:01, 17.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 15%|▍ | 5.21M/35.7M [00:00<00:01, 17.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 19%|▌ | 6.96M/35.7M [00:00<00:01, 17.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 29%|▉ | 10.5M/35.7M [00:00<00:01, 17.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 34%|█ | 12.3M/35.7M [00:00<00:01, 17.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 44%|█▎ | 15.8M/35.7M [00:00<00:01, 17.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 50%|█▍ | 17.8M/35.7M [00:01<00:00, 18.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 60%|█▊ | 21.3M/35.7M [00:01<00:00, 17.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 70%|██ | 25.1M/35.7M [00:01<00:00, 18.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 75%|██▎| 26.9M/35.7M [00:01<00:00, 18.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 85%|██▌| 30.2M/35.7M [00:01<00:00, 17.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 90%|██▋| 32.3M/35.7M [00:01<00:00, 17.7M Bytes/s]
Total: 78%|████████████████████▏ | 2.28G/2.93G [02:34<00:44, 14.8M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 10%|▎ | 3.72M/36.8M [00:00<00:01, 18.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 15%|▍ | 5.66M/36.8M [00:00<00:01, 18.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 26%|▊ | 9.50M/36.8M [00:00<00:01, 18.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 31%|▉ | 11.4M/36.8M [00:00<00:01, 18.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 36%|█ | 13.3M/36.8M [00:00<00:01, 18.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 47%|█▍ | 17.2M/36.8M [00:00<00:01, 19.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 57%|█▋ | 20.9M/36.8M [00:01<00:00, 18.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 62%|█▊ | 22.9M/36.8M [00:01<00:00, 19.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 68%|██ | 24.9M/36.8M [00:01<00:00, 19.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 79%|██▎| 29.1M/36.8M [00:01<00:00, 19.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 84%|██▌| 31.0M/36.8M [00:01<00:00, 19.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 90%|██▋| 33.1M/36.8M [00:01<00:00, 19.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 95%|██▊| 35.1M/36.8M [00:01<00:00, 20.0M Bytes/s]
Total: 79%|████████████████████▍ | 2.31G/2.93G [02:36<00:42, 14.8M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 11%|▎ | 4.12M/36.8M [00:00<00:01, 20.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 22%|▋ | 8.25M/36.8M [00:00<00:01, 20.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 28%|▊ | 10.3M/36.8M [00:00<00:01, 20.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 40%|█▏ | 14.6M/36.8M [00:00<00:01, 20.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 45%|█▎ | 16.7M/36.8M [00:00<00:00, 20.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 56%|█▋ | 20.7M/36.8M [00:01<00:00, 20.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 68%|██ | 24.9M/36.8M [00:01<00:00, 20.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 73%|██▏| 27.0M/36.8M [00:01<00:00, 20.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 84%|██▌| 31.1M/36.8M [00:01<00:00, 20.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|██▊| 35.3M/36.8M [00:01<00:00, 19.9M Bytes/s]
Total: 80%|████████████████████▊ | 2.35G/2.93G [02:38<00:39, 14.8M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 5%|▏ | 1.84M/36.9M [00:00<00:02, 16.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 13%|▍ | 4.81M/36.9M [00:00<00:02, 15.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 19%|▌ | 6.88M/36.9M [00:00<00:01, 17.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 24%|▋ | 8.71M/36.9M [00:00<00:01, 17.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 33%|▉ | 12.2M/36.9M [00:00<00:01, 17.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 41%|█▏ | 15.2M/36.9M [00:00<00:01, 16.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 47%|█▍ | 17.3M/36.9M [00:01<00:01, 17.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 57%|█▋ | 20.9M/36.9M [00:01<00:00, 17.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 62%|█▊ | 22.7M/36.9M [00:01<00:00, 17.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 67%|█▉ | 24.6M/36.9M [00:01<00:00, 17.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 71%|██▏| 26.4M/36.9M [00:01<00:00, 17.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 76%|██▎| 28.2M/36.9M [00:01<00:00, 17.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 81%|██▍| 30.1M/36.9M [00:01<00:00, 17.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 87%|██▌| 32.0M/36.9M [00:01<00:00, 18.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|██▉| 35.7M/36.9M [00:02<00:00, 18.3M Bytes/s]
Total: 81%|█████████████████████▏ | 2.39G/2.93G [02:41<00:36, 14.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/36.9M [00:00<?, ? Bytes/s]
Get sub-06/s .. _bold.nii.gz: 10%|▎ | 3.86M/36.9M [00:00<00:01, 19.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 16%|▍ | 5.86M/36.9M [00:00<00:01, 19.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 26%|▊ | 9.71M/36.9M [00:00<00:01, 19.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 32%|▉ | 11.8M/36.9M [00:00<00:01, 19.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 37%|█ | 13.8M/36.9M [00:00<00:01, 19.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 43%|█▎ | 15.9M/36.9M [00:00<00:01, 20.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 53%|█▌ | 19.8M/36.9M [00:01<00:00, 19.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 59%|█▊ | 21.8M/36.9M [00:01<00:00, 20.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 65%|█▉ | 23.9M/36.9M [00:01<00:00, 20.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 70%|██ | 26.0M/36.9M [00:01<00:00, 20.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 76%|██▎| 28.1M/36.9M [00:01<00:00, 20.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 87%|██▌| 32.2M/36.9M [00:01<00:00, 20.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|██▊| 34.3M/36.9M [00:01<00:00, 20.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|██▉| 36.4M/36.9M [00:01<00:00, 20.7M Bytes/s]
Total: 83%|█████████████████████▍ | 2.42G/2.93G [02:43<00:34, 14.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/37.0M [00:00<?, ? Bytes/s]
Get sub-06/s .. _bold.nii.gz: 11%|▎ | 3.96M/37.0M [00:00<00:01, 19.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 17%|▌ | 6.20M/37.0M [00:00<00:01, 20.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 28%|▊ | 10.3M/37.0M [00:00<00:01, 20.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 39%|█▏ | 14.4M/37.0M [00:00<00:01, 20.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 50%|█▌ | 18.5M/37.0M [00:00<00:00, 20.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 61%|█▊ | 22.6M/37.0M [00:01<00:00, 20.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 72%|██▏| 26.5M/37.0M [00:01<00:00, 20.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 78%|██▎| 28.7M/37.0M [00:01<00:00, 20.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 90%|██▋| 33.2M/37.0M [00:01<00:00, 21.2M Bytes/s]
Total: 84%|█████████████████████▊ | 2.46G/2.93G [02:45<00:31, 14.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/37.0M [00:00<?, ? Bytes/s]
Get sub-06/s .. _bold.nii.gz: 11%|▎ | 3.96M/37.0M [00:00<00:01, 19.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 21%|▋ | 7.86M/37.0M [00:00<00:01, 19.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 32%|▉ | 11.8M/37.0M [00:00<00:01, 19.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 37%|█ | 13.8M/37.0M [00:00<00:01, 19.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 43%|█▎ | 15.9M/37.0M [00:00<00:01, 20.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 49%|█▍ | 18.2M/37.0M [00:00<00:00, 20.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 56%|█▋ | 20.6M/37.0M [00:01<00:00, 21.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 62%|█▊ | 22.8M/37.0M [00:01<00:00, 21.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 68%|██ | 25.1M/37.0M [00:01<00:00, 22.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 74%|██▏| 27.3M/37.0M [00:01<00:00, 22.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 86%|██▌| 31.7M/37.0M [00:01<00:00, 21.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|██▉| 35.8M/37.0M [00:01<00:00, 21.5M Bytes/s]
Total: 85%|██████████████████████▏ | 2.50G/2.93G [02:47<00:29, 14.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/37.0M [00:00<?, ? Bytes/s]
Get sub-06/s .. _bold.nii.gz: 11%|▎ | 4.09M/37.0M [00:00<00:01, 20.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 21%|▋ | 7.89M/37.0M [00:00<00:01, 19.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 31%|▉ | 11.4M/37.0M [00:00<00:01, 18.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 36%|█ | 13.4M/37.0M [00:00<00:01, 18.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 41%|█▏ | 15.3M/37.0M [00:00<00:01, 18.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 50%|█▍ | 18.5M/37.0M [00:01<00:01, 17.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 56%|█▋ | 20.6M/37.0M [00:01<00:00, 18.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 62%|█▊ | 22.8M/37.0M [00:01<00:00, 19.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 67%|██ | 24.8M/37.0M [00:01<00:00, 19.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 74%|██▏| 27.2M/37.0M [00:01<00:00, 20.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 85%|██▌| 31.5M/37.0M [00:01<00:00, 21.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|██▉| 35.8M/37.0M [00:01<00:00, 21.1M Bytes/s]
Total: 86%|██████████████████████▍ | 2.53G/2.93G [02:49<00:26, 14.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/37.0M [00:00<?, ? Bytes/s]
Get sub-06/s .. _bold.nii.gz: 11%|▎ | 4.15M/37.0M [00:00<00:01, 20.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 17%|▌ | 6.25M/37.0M [00:00<00:01, 20.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 27%|▊ | 10.0M/37.0M [00:00<00:01, 19.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 33%|▉ | 12.1M/37.0M [00:00<00:01, 19.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 38%|█▏ | 14.2M/37.0M [00:00<00:01, 20.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 44%|█▎ | 16.3M/37.0M [00:00<00:01, 20.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 55%|█▋ | 20.5M/37.0M [00:01<00:00, 20.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 66%|█▉ | 24.4M/37.0M [00:01<00:00, 20.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 77%|██▎| 28.5M/37.0M [00:01<00:00, 20.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 88%|██▋| 32.5M/37.0M [00:01<00:00, 20.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|██▉| 36.7M/37.0M [00:01<00:00, 20.5M Bytes/s]
Total: 88%|██████████████████████▊ | 2.57G/2.93G [02:52<00:24, 14.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/37.1M [00:00<?, ? Bytes/s]
Get sub-06/s .. _bold.nii.gz: 6%|▏ | 2.21M/37.1M [00:00<00:03, 11.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 11%|▎ | 4.00M/37.1M [00:00<00:02, 13.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 16%|▍ | 5.77M/37.1M [00:00<00:02, 15.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 20%|▌ | 7.41M/37.1M [00:00<00:01, 15.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 25%|▋ | 9.14M/37.1M [00:00<00:01, 16.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 29%|▉ | 10.8M/37.1M [00:00<00:01, 16.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 34%|█ | 12.6M/37.1M [00:00<00:01, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 43%|█▎ | 15.8M/37.1M [00:01<00:01, 16.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 48%|█▍ | 17.8M/37.1M [00:01<00:01, 17.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 58%|█▋ | 21.5M/37.1M [00:01<00:00, 17.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 63%|█▉ | 23.3M/37.1M [00:01<00:00, 17.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 68%|██ | 25.2M/37.1M [00:01<00:00, 17.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 78%|██▎| 28.9M/37.1M [00:01<00:00, 18.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 83%|██▍| 30.8M/37.1M [00:01<00:00, 18.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 88%|██▋| 32.7M/37.1M [00:01<00:00, 18.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|██▉| 36.4M/37.1M [00:02<00:00, 18.4M Bytes/s]
Total: 89%|███████████████████████ | 2.61G/2.93G [02:54<00:21, 14.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/36.0M [00:00<?, ? Bytes/s]
Get sub-09/s .. _bold.nii.gz: 10%|▎ | 3.59M/36.0M [00:00<00:01, 17.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 16%|▍ | 5.77M/36.0M [00:00<00:01, 19.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 24%|▋ | 8.63M/36.0M [00:00<00:01, 16.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 32%|▉ | 11.6M/36.0M [00:00<00:01, 15.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 40%|█▏ | 14.4M/36.0M [00:00<00:01, 15.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 48%|█▍ | 17.4M/36.0M [00:01<00:01, 15.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 57%|█▋ | 20.4M/36.0M [00:01<00:01, 14.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 65%|█▉ | 23.4M/36.0M [00:01<00:00, 14.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 73%|██▏| 26.3M/36.0M [00:01<00:00, 14.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 81%|██▍| 29.3M/36.0M [00:01<00:00, 14.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 85%|██▌| 30.8M/36.0M [00:02<00:00, 14.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 90%|██▋| 32.3M/36.0M [00:02<00:00, 14.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 94%|██▊| 33.8M/36.0M [00:02<00:00, 14.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/36.1M [00:00<?, ? Bytes/s]
Get sub-09/s .. _bold.nii.gz: 9%|▎ | 3.16M/36.1M [00:00<00:02, 15.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 18%|▌ | 6.34M/36.1M [00:00<00:01, 15.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 26%|▊ | 9.55M/36.1M [00:00<00:01, 15.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 35%|█ | 12.7M/36.1M [00:00<00:01, 15.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 44%|█▎ | 15.9M/36.1M [00:01<00:01, 15.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 53%|█▌ | 19.2M/36.1M [00:01<00:01, 16.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 58%|█▋ | 20.9M/36.1M [00:01<00:00, 16.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 62%|█▊ | 22.5M/36.1M [00:01<00:00, 16.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 72%|██▏| 25.9M/36.1M [00:01<00:00, 16.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 81%|██▍| 29.1M/36.1M [00:01<00:00, 15.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 85%|██▌| 30.7M/36.1M [00:01<00:00, 15.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 90%|██▋| 32.4M/36.1M [00:02<00:00, 15.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 94%|██▊| 34.0M/36.1M [00:02<00:00, 15.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|██▉| 35.6M/36.1M [00:02<00:00, 16.0M Bytes/s]
Total: 91%|███████████████████████▊ | 2.68G/2.93G [03:00<00:17, 14.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/36.2M [00:00<?, ? Bytes/s]
Get sub-09/s .. _bold.nii.gz: 9%|▎ | 3.32M/36.2M [00:00<00:01, 16.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 14%|▍ | 5.01M/36.2M [00:00<00:01, 16.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 19%|▌ | 6.73M/36.2M [00:00<00:01, 16.8M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 47%|█▍ | 17.1M/36.2M [00:01<00:01, 17.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 57%|█▋ | 20.5M/36.2M [00:01<00:00, 17.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 66%|█▉ | 23.8M/36.2M [00:01<00:00, 16.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 75%|██▎| 27.2M/36.2M [00:01<00:00, 16.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 84%|██▌| 30.4M/36.2M [00:01<00:00, 16.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 89%|██▋| 32.1M/36.2M [00:01<00:00, 16.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|██▉| 35.4M/36.2M [00:02<00:00, 16.0M Bytes/s]
Total: 94%|████████████████████████▍ | 2.75G/2.93G [03:05<00:12, 14.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/36.2M [00:00<?, ? Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 37%|█ | 13.4M/36.2M [00:00<00:01, 16.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 42%|█▎ | 15.3M/36.2M [00:00<00:01, 16.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 47%|█▍ | 17.1M/36.2M [00:01<00:01, 17.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 56%|█▋ | 20.4M/36.2M [00:01<00:00, 16.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 66%|█▉ | 24.0M/36.2M [00:01<00:00, 17.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 75%|██▎| 27.2M/36.2M [00:01<00:00, 16.9M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 62%|█▊ | 22.4M/36.3M [00:01<00:00, 17.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 67%|██ | 24.3M/36.3M [00:01<00:00, 17.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 76%|██▎| 27.7M/36.3M [00:01<00:00, 16.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 86%|██▌| 31.0M/36.3M [00:01<00:00, 16.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 90%|██▋| 32.7M/36.3M [00:01<00:00, 16.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 95%|██▊| 34.5M/36.3M [00:02<00:00, 16.7M Bytes/s]
Total: 96%|█████████████████████████ | 2.82G/2.93G [03:10<00:07, 14.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/36.3M [00:00<?, ? Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 99%|██▉| 36.0M/36.3M [00:02<00:00, 17.9M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 74%|██▏| 26.9M/36.3M [00:01<00:00, 19.2M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 86%|██▌| 31.1M/36.3M [00:01<00:00, 19.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 97%|██▉| 35.1M/36.3M [00:01<00:00, 20.0M Bytes/s]
Total: 99%|█████████████████████████▋| 2.90G/2.93G [03:15<00:02, 14.8M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 53%|█▌ | 19.1M/36.3M [00:00<00:00, 21.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 59%|█▊ | 21.3M/36.3M [00:01<00:00, 21.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 71%|██ | 25.7M/36.3M [00:01<00:00, 21.7M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 83%|██▍| 30.2M/36.3M [00:01<00:00, 22.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 95%|██▊| 34.5M/36.3M [00:01<00:00, 21.8M Bytes/s]
get(ok): sub-08/ses-mri/func/sub-08_ses-mri_task-facerecognition_run-01_bold.nii.gz (file)
get(ok): sub-08/ses-mri/func/sub-08_ses-mri_task-facerecognition_run-02_bold.nii.gz (file)
get(ok): sub-08/ses-mri/func/sub-08_ses-mri_task-facerecognition_run-03_bold.nii.gz (file)
get(ok): sub-08/ses-mri/func/sub-08_ses-mri_task-facerecognition_run-04_bold.nii.gz (file)
get(ok): sub-08/ses-mri/func/sub-08_ses-mri_task-facerecognition_run-05_bold.nii.gz (file)
get(ok): sub-08/ses-mri/func/sub-08_ses-mri_task-facerecognition_run-06_bold.nii.gz (file)
get(ok): sub-08/ses-mri/func/sub-08_ses-mri_task-facerecognition_run-07_bold.nii.gz (file)
get(ok): sub-08/ses-mri/func/sub-08_ses-mri_task-facerecognition_run-08_bold.nii.gz (file)
get(ok): sub-08/ses-mri/func/sub-08_ses-mri_task-facerecognition_run-09_bold.nii.gz (file)
get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-01_bold.nii.gz (file)
[71 similar messages have been suppressed; disable with datalad.ui.suppress-similar-results=off]
get(ok): sub-08/ses-mri/func (directory)
get(ok): sub-04/ses-mri/func (directory)
get(ok): sub-07/ses-mri/func (directory)
get(ok): sub-03/ses-mri/func (directory)
get(ok): sub-02/ses-mri/func (directory)
get(ok): sub-01/ses-mri/func (directory)
get(ok): sub-05/ses-mri/func (directory)
get(ok): sub-06/ses-mri/func (directory)
get(ok): sub-09/ses-mri/func (directory)
action summary:
get (ok: 90)
# get preprocessed normalized func images of 9 individuals
PATTERN_PREP = "sub-0*/ses-mri/func/*space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz"
!datalad install https://github.com/OpenNeuroDerivatives/ds000117-fmriprep.git
!cd ds000117-fmriprep && datalad get $PATTERN_PREP
Total: 0%| | 0.00/39.4G [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/513M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 33.4k/513M [00:00<44:53, 190k Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 0%| | 625k/513M [00:00<08:24, 1.02M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 1%| | 4.27M/513M [00:01<01:14, 6.83M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 2%| | 8.99M/513M [00:01<00:49, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 11.2M/513M [00:01<00:45, 11.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 3%| | 13.6M/513M [00:02<00:42, 11.9M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 4%|▏ | 22.4M/513M [00:02<00:38, 12.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 5%|▏ | 24.0M/513M [00:02<00:35, 13.6M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 9%|▎ | 47.9M/513M [00:04<00:26, 17.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 10%|▍ | 51.4M/513M [00:04<00:26, 17.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 11%|▍ | 54.7M/513M [00:04<00:27, 16.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 17%|▋ | 85.3M/513M [00:07<00:44, 9.55M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 100%|████▉| 512M/513M [00:39<00:00, 16.8M Bytes/s]
Total: 1%|▎ | 513M/39.4G [00:45<57:41, 11.2M Bytes/s]
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Total: 1%|▎ | 513M/39.4G [01:00<1:15:51, 8.55M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 100%|████▉| 466M/468M [00:47<00:00, 16.6M Bytes/s]
Total: 2%|▌ | 981M/39.4G [01:34<1:01:58, 10.3M Bytes/s]
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Total: 2%|▌ | 981M/39.4G [01:50<1:11:50, 8.92M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 98%|████▉| 487M/495M [00:39<00:00, 16.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 488M/495M [00:40<00:00, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 492M/495M [00:40<00:00, 13.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 100%|████▉| 494M/495M [00:40<00:00, 12.4M Bytes/s]
Total: 4%|▉ | 1.48G/39.4G [02:17<58:47, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/479M [00:00<?, ? Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 12%|▍ | 55.3M/479M [00:11<02:21, 2.99M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 12%|▍ | 55.8M/479M [00:11<02:40, 2.64M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 12%|▍ | 56.2M/479M [00:11<02:20, 3.01M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 12%|▍ | 56.7M/479M [00:11<02:32, 2.76M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 12%|▍ | 57.2M/479M [00:12<02:32, 2.77M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 12%|▍ | 57.7M/479M [00:12<02:18, 3.05M Bytes/s]
Total: 4%|▉ | 1.48G/39.4G [02:30<1:04:16, 9.84M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 12%|▍ | 58.7M/479M [00:12<02:18, 3.05M Bytes/s]
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Total: 5%|█▏ | 1.96G/39.4G [03:10<1:00:48, 10.3M Bytes/s]
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Total: 5%|█▏ | 1.96G/39.4G [03:30<1:07:04, 9.31M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 80%|████ | 415M/516M [00:29<00:06, 16.6M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 90%|████▍| 464M/516M [00:32<00:03, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 90%|████▌| 467M/516M [00:32<00:02, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 91%|████▌| 470M/516M [00:32<00:02, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 92%|████▌| 472M/516M [00:32<00:02, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 92%|████▌| 476M/516M [00:33<00:02, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 93%|████▋| 478M/516M [00:33<00:02, 17.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 93%|████▋| 481M/516M [00:33<00:02, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 94%|████▋| 484M/516M [00:33<00:01, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 94%|████▋| 486M/516M [00:33<00:01, 17.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 95%|████▋| 490M/516M [00:33<00:01, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 96%|████▊| 493M/516M [00:34<00:01, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 96%|████▊| 495M/516M [00:34<00:01, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 96%|████▊| 498M/516M [00:34<00:01, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 97%|████▊| 500M/516M [00:34<00:00, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|████▉| 504M/516M [00:34<00:00, 17.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|████▉| 507M/516M [00:34<00:00, 17.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 510M/516M [00:35<00:00, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 512M/516M [00:35<00:00, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 100%|████▉| 516M/516M [00:35<00:00, 17.0M Bytes/s]
Total: 6%|█▋ | 2.47G/39.4G [03:47<56:42, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/468M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 3.84M/468M [00:00<00:24, 19.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 7.41M/468M [00:00<00:28, 16.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 9.69M/468M [00:00<00:35, 13.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 11.9M/468M [00:00<00:30, 15.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%|▏ | 15.0M/468M [00:01<00:32, 13.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 17.2M/468M [00:01<00:29, 15.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 20.4M/468M [00:01<00:30, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 22.7M/468M [00:01<00:27, 16.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 6%|▏ | 26.1M/468M [00:01<00:29, 15.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 6%|▏ | 28.5M/468M [00:01<00:25, 17.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 7%|▎ | 31.7M/468M [00:02<00:28, 15.3M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 8%|▎ | 37.7M/468M [00:02<00:27, 15.9M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 35%|█▋ | 163M/468M [00:11<00:24, 12.3M Bytes/s]
Total: 6%|█▋ | 2.47G/39.4G [04:00<59:48, 10.3M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 97%|████▊| 456M/468M [00:36<00:00, 13.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 460M/468M [00:36<00:00, 13.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 462M/468M [00:37<00:00, 13.3M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 100%|████▉| 466M/468M [00:37<00:00, 13.6M Bytes/s]
Total: 7%|█▉ | 2.94G/39.4G [04:26<55:09, 11.0M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 167M/498M [00:10<00:20, 16.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 37%|█▊ | 186M/498M [00:11<00:18, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 190M/498M [00:11<00:18, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 191M/498M [00:12<00:18, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 193M/498M [00:12<00:18, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 195M/498M [00:12<00:18, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▉ | 197M/498M [00:12<00:17, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|██ | 200M/498M [00:12<00:17, 16.8M Bytes/s]
Total: 7%|█▉ | 2.94G/39.4G [04:40<57:55, 10.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 42%|██ | 207M/498M [00:12<00:17, 16.6M Bytes/s]
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Total: 9%|██▎ | 3.44G/39.4G [04:59<52:19, 11.5M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 18%|▋ | 92.8M/515M [00:09<00:35, 12.0M Bytes/s]
Total: 9%|██▎ | 3.44G/39.4G [05:10<54:05, 11.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 19%|▊ | 97.1M/515M [00:09<00:33, 12.3M Bytes/s]
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Total: 10%|██▌ | 3.95G/39.4G [05:38<50:41, 11.7M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 34%|█▋ | 170M/496M [00:10<00:20, 15.9M Bytes/s]
Total: 10%|██▌ | 3.95G/39.4G [05:50<52:21, 11.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 35%|█▊ | 175M/496M [00:10<00:19, 16.7M Bytes/s]
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Total: 11%|██▉ | 4.45G/39.4G [06:11<48:41, 12.0M Bytes/s]
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Total: 11%|██▉ | 4.45G/39.4G [06:30<51:06, 11.4M Bytes/s]
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Total: 13%|███▎ | 4.95G/39.4G [06:44<46:56, 12.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 47%|██▎ | 242M/511M [00:14<00:17, 15.7M Bytes/s]
Total: 13%|███▎ | 4.95G/39.4G [07:00<48:43, 11.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 92%|████▌| 471M/511M [00:28<00:02, 16.5M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 93%|████▋| 476M/511M [00:29<00:02, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|████▋| 478M/511M [00:29<00:02, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|████▋| 481M/511M [00:29<00:01, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 95%|████▋| 483M/511M [00:29<00:01, 16.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 96%|████▊| 490M/511M [00:29<00:01, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|████▊| 491M/511M [00:29<00:01, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 495M/511M [00:30<00:00, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 498M/511M [00:30<00:00, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 500M/511M [00:30<00:00, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 501M/511M [00:30<00:00, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 503M/511M [00:30<00:00, 16.4M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 100%|████▉| 510M/511M [00:31<00:00, 16.0M Bytes/s]
Total: 14%|███▌ | 5.46G/39.4G [07:17<45:17, 12.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/496M [00:00<?, ? Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 38%|█▉ | 189M/496M [00:12<00:21, 14.6M Bytes/s]
Total: 14%|███▌ | 5.46G/39.4G [07:30<46:37, 12.1M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 85%|████▎| 424M/496M [00:26<00:04, 16.2M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 91%|████▌| 453M/496M [00:28<00:02, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 92%|████▌| 455M/496M [00:28<00:02, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 92%|████▌| 457M/496M [00:28<00:02, 16.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 93%|████▋| 460M/496M [00:29<00:02, 16.6M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 94%|████▋| 464M/496M [00:29<00:01, 17.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 94%|████▋| 467M/496M [00:29<00:01, 17.1M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 96%|████▊| 474M/496M [00:29<00:01, 16.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 96%|████▊| 476M/496M [00:29<00:01, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|████▊| 479M/496M [00:30<00:01, 16.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|████▊| 483M/496M [00:30<00:00, 16.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|████▉| 485M/496M [00:30<00:00, 16.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|████▉| 486M/496M [00:30<00:00, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|████▉| 488M/496M [00:30<00:00, 17.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 491M/496M [00:30<00:00, 15.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 493M/496M [00:31<00:00, 16.5M Bytes/s]
Total: 15%|███▉ | 5.96G/39.4G [07:49<43:57, 12.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/503M [00:00<?, ? Bytes/s]
Get sub-08/s .. _bold.nii.gz: 1%| | 3.88M/503M [00:00<00:25, 19.4M Bytes/s]
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Total: 15%|███▉ | 5.96G/39.4G [08:00<44:55, 12.4M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 80%|███▉ | 401M/503M [00:24<00:06, 16.3M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 91%|████▌| 457M/503M [00:28<00:02, 16.7M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 93%|████▋| 467M/503M [00:28<00:02, 17.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 93%|████▋| 470M/503M [00:28<00:02, 16.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 94%|████▋| 472M/503M [00:28<00:01, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 94%|████▋| 475M/503M [00:29<00:01, 17.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 95%|████▋| 478M/503M [00:29<00:01, 15.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 95%|████▊| 480M/503M [00:29<00:01, 17.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|████▊| 484M/503M [00:29<00:01, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 487M/503M [00:29<00:01, 15.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 489M/503M [00:29<00:00, 17.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 492M/503M [00:30<00:00, 17.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 495M/503M [00:30<00:00, 16.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 498M/503M [00:30<00:00, 17.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 501M/503M [00:30<00:00, 16.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 503M/503M [00:30<00:00, 16.8M Bytes/s]
Total: 16%|████▎ | 6.46G/39.4G [08:22<42:42, 12.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/478M [00:00<?, ? Bytes/s]
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Total: 16%|████▎ | 6.46G/39.4G [08:40<44:12, 12.4M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 97%|████▊| 463M/478M [00:27<00:00, 16.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 97%|████▊| 465M/478M [00:28<00:00, 17.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 469M/478M [00:28<00:00, 17.2M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 99%|████▉| 474M/478M [00:28<00:00, 17.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 100%|████▉| 477M/478M [00:28<00:00, 15.9M Bytes/s]
Total: 18%|████▌ | 6.94G/39.4G [08:52<41:33, 13.0M Bytes/s]
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Total: 18%|████▌ | 6.94G/39.4G [09:10<42:54, 12.6M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 93%|████▋| 445M/477M [00:27<00:01, 17.2M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 95%|████▊| 454M/477M [00:27<00:01, 16.9M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 97%|████▊| 462M/477M [00:28<00:00, 16.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 465M/477M [00:28<00:00, 16.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 467M/477M [00:28<00:00, 16.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 471M/477M [00:28<00:00, 16.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 474M/477M [00:28<00:00, 15.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 100%|████▉| 476M/477M [00:28<00:00, 17.0M Bytes/s]
Total: 19%|████▉ | 7.42G/39.4G [09:23<40:31, 13.2M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 4%|▏ | 21.1M/517M [00:15<01:43, 4.81M Bytes/s]
Total: 19%|████▉ | 7.42G/39.4G [09:40<41:42, 12.8M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 30%|█▌ | 157M/517M [00:26<00:20, 17.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 31%|█▌ | 160M/517M [00:26<00:20, 17.1M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 40%|██ | 208M/517M [00:29<00:18, 16.5M Bytes/s]
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Total: 20%|█████▏ | 7.94G/39.4G [10:14<40:38, 12.9M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 47%|██▎ | 241M/514M [00:15<00:16, 16.6M Bytes/s]
Total: 20%|█████▏ | 7.94G/39.4G [10:30<41:40, 12.6M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 92%|████▌| 472M/514M [00:29<00:02, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 93%|████▋| 476M/514M [00:29<00:02, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 93%|████▋| 479M/514M [00:29<00:02, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|████▋| 482M/514M [00:29<00:01, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|████▋| 484M/514M [00:29<00:01, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 95%|████▋| 488M/514M [00:29<00:01, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|████▊| 491M/514M [00:30<00:01, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|████▊| 493M/514M [00:30<00:01, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|████▊| 495M/514M [00:30<00:01, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 496M/514M [00:30<00:01, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 500M/514M [00:30<00:00, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 501M/514M [00:30<00:00, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 505M/514M [00:31<00:00, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 508M/514M [00:31<00:00, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 510M/514M [00:31<00:00, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 100%|████▉| 514M/514M [00:31<00:00, 16.9M Bytes/s]
Total: 21%|█████▌ | 8.45G/39.4G [10:47<39:33, 13.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/497M [00:00<?, ? Bytes/s]
Get sub-06/s .. _bold.nii.gz: 1%| | 2.71M/497M [00:00<00:36, 13.6M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 33%|█▋ | 165M/497M [00:12<00:21, 15.2M Bytes/s]
Total: 21%|█████▌ | 8.45G/39.4G [11:00<40:20, 12.8M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 91%|████▌| 455M/497M [00:30<00:02, 15.8M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 95%|████▋| 471M/497M [00:31<00:01, 16.7M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 96%|████▊| 477M/497M [00:31<00:01, 17.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|████▊| 481M/497M [00:31<00:00, 16.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 485M/497M [00:31<00:00, 17.1M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 99%|████▉| 493M/497M [00:32<00:00, 17.5M Bytes/s]
Total: 23%|█████▉ | 8.95G/39.4G [11:21<38:41, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/514M [00:00<?, ? Bytes/s]
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Total: 23%|█████▉ | 8.95G/39.4G [11:40<39:45, 12.8M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 91%|████▌| 469M/514M [00:28<00:02, 16.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 92%|████▌| 472M/514M [00:29<00:02, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 92%|████▌| 475M/514M [00:29<00:02, 17.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 93%|████▋| 478M/514M [00:29<00:02, 16.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 94%|████▋| 481M/514M [00:29<00:02, 15.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 94%|████▋| 483M/514M [00:29<00:01, 17.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|████▋| 487M/514M [00:29<00:01, 15.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|████▊| 489M/514M [00:30<00:01, 16.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|████▊| 492M/514M [00:30<00:01, 15.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 97%|████▊| 498M/514M [00:30<00:01, 15.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 500M/514M [00:30<00:00, 17.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 504M/514M [00:30<00:00, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 506M/514M [00:31<00:00, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 509M/514M [00:31<00:00, 16.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 100%|████▉| 512M/514M [00:31<00:00, 15.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 100%|████▉| 514M/514M [00:31<00:00, 16.6M Bytes/s]
Total: 24%|██████▏ | 9.46G/39.4G [11:54<37:44, 13.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/480M [00:00<?, ? Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 1%| | 5.37M/480M [00:00<00:31, 14.9M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 3%| | 12.7M/480M [00:00<00:34, 13.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 3%| | 14.8M/480M [00:00<00:30, 15.1M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 5%|▏ | 24.5M/480M [00:01<00:30, 15.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 6%|▏ | 27.5M/480M [00:01<00:32, 13.9M Bytes/s]
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Total: 24%|██████▏ | 9.46G/39.4G [12:10<38:32, 13.0M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 96%|████▊| 459M/480M [00:28<00:01, 16.3M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 97%|████▊| 466M/480M [00:28<00:00, 16.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 470M/480M [00:28<00:00, 16.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 473M/480M [00:29<00:00, 16.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 475M/480M [00:29<00:00, 16.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 100%|████▉| 478M/480M [00:29<00:00, 16.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 100%|████▉| 480M/480M [00:29<00:00, 16.6M Bytes/s]
Total: 25%|██████▌ | 9.94G/39.4G [12:26<36:55, 13.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/478M [00:00<?, ? Bytes/s]
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Total: 25%|██████▌ | 9.94G/39.4G [12:40<37:34, 13.1M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 92%|████▌| 440M/478M [00:26<00:02, 16.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 93%|████▋| 444M/478M [00:27<00:02, 16.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 94%|████▋| 447M/478M [00:27<00:01, 16.5M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 95%|████▋| 453M/478M [00:27<00:01, 16.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 95%|████▊| 456M/478M [00:27<00:01, 16.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 96%|████▊| 458M/478M [00:27<00:01, 16.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 96%|████▊| 461M/478M [00:28<00:01, 16.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 97%|████▊| 464M/478M [00:28<00:00, 16.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 466M/478M [00:28<00:00, 17.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 470M/478M [00:28<00:00, 16.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 472M/478M [00:28<00:00, 16.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 475M/478M [00:28<00:00, 16.8M Bytes/s]
Total: 26%|██████▊ | 10.4G/39.4G [12:57<36:05, 13.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/498M [00:00<?, ? Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 28%|█▍ | 141M/498M [00:08<00:21, 16.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 32%|█▌ | 162M/498M [00:09<00:20, 16.6M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 172M/498M [00:10<00:19, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 35%|█▋ | 174M/498M [00:10<00:19, 16.9M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 36%|█▊ | 179M/498M [00:10<00:19, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 36%|█▊ | 180M/498M [00:11<00:18, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 37%|█▊ | 182M/498M [00:11<00:18, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 37%|█▊ | 185M/498M [00:11<00:19, 16.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 187M/498M [00:11<00:18, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 191M/498M [00:11<00:18, 16.7M Bytes/s]
Total: 26%|██████▊ | 10.4G/39.4G [13:10<36:39, 13.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 196M/498M [00:12<00:18, 16.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 69%|███▍ | 344M/498M [00:20<00:09, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 69%|███▍ | 346M/498M [00:21<00:09, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 70%|███▌ | 349M/498M [00:21<00:09, 15.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 70%|███▌ | 351M/498M [00:21<00:08, 16.7M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 75%|███▊ | 376M/498M [00:22<00:07, 17.0M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 77%|███▊ | 383M/498M [00:23<00:06, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 77%|███▊ | 384M/498M [00:23<00:06, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 78%|███▉ | 388M/498M [00:23<00:06, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 79%|███▉ | 392M/498M [00:23<00:06, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 79%|███▉ | 395M/498M [00:23<00:06, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 80%|███▉ | 398M/498M [00:24<00:06, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 80%|████ | 400M/498M [00:24<00:05, 16.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 82%|████ | 408M/498M [00:24<00:05, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 82%|████ | 411M/498M [00:25<00:05, 15.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 83%|████▏| 413M/498M [00:25<00:04, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 84%|████▏| 417M/498M [00:25<00:04, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 84%|████▏| 420M/498M [00:25<00:05, 15.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 85%|████▏| 422M/498M [00:25<00:04, 17.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 85%|████▎| 425M/498M [00:25<00:04, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 86%|████▎| 428M/498M [00:26<00:04, 15.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 86%|████▎| 431M/498M [00:26<00:04, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 87%|████▎| 434M/498M [00:26<00:03, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 88%|████▍| 437M/498M [00:26<00:03, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 88%|████▍| 439M/498M [00:26<00:03, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 88%|████▍| 441M/498M [00:26<00:03, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 89%|████▍| 443M/498M [00:26<00:03, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 89%|████▍| 446M/498M [00:27<00:03, 16.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 90%|████▍| 448M/498M [00:27<00:03, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 91%|████▌| 451M/498M [00:27<00:02, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 91%|████▌| 453M/498M [00:27<00:03, 14.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 91%|████▌| 456M/498M [00:27<00:02, 16.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 92%|████▌| 459M/498M [00:27<00:02, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 93%|████▋| 462M/498M [00:28<00:02, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 93%|████▋| 466M/498M [00:28<00:01, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 94%|████▋| 469M/498M [00:28<00:01, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 95%|████▋| 473M/498M [00:28<00:01, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 96%|████▊| 476M/498M [00:28<00:01, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 96%|████▊| 478M/498M [00:29<00:01, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|████▊| 481M/498M [00:29<00:01, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|████▊| 485M/498M [00:29<00:00, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 98%|████▉| 488M/498M [00:29<00:00, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 98%|████▉| 490M/498M [00:29<00:00, 14.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|████▉| 493M/498M [00:29<00:00, 15.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 100%|████▉| 496M/498M [00:30<00:00, 15.8M Bytes/s]
Total: 28%|███████▏ | 10.9G/39.4G [13:29<35:15, 13.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/514M [00:00<?, ? Bytes/s]
Get sub-07/s .. _bold.nii.gz: 1%| | 3.87M/514M [00:00<00:26, 19.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 1%| | 6.90M/514M [00:00<00:32, 15.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 2%| | 9.98M/514M [00:00<00:32, 15.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 3%| | 12.9M/514M [00:00<00:35, 14.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 3%| | 14.7M/514M [00:00<00:33, 14.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 3%|▏ | 17.8M/514M [00:01<00:35, 14.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 4%|▏ | 20.4M/514M [00:01<00:30, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 5%|▏ | 23.4M/514M [00:01<00:33, 14.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 5%|▏ | 25.6M/514M [00:01<00:30, 16.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 6%|▏ | 28.5M/514M [00:01<00:33, 14.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 6%|▏ | 30.8M/514M [00:02<00:30, 15.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 7%|▎ | 33.8M/514M [00:02<00:33, 14.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 7%|▎ | 36.4M/514M [00:02<00:28, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 8%|▎ | 39.3M/514M [00:02<00:32, 14.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 8%|▎ | 41.7M/514M [00:02<00:28, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 9%|▎ | 44.6M/514M [00:02<00:31, 14.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 9%|▎ | 47.1M/514M [00:03<00:28, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 10%|▍ | 50.0M/514M [00:03<00:31, 14.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 10%|▍ | 52.3M/514M [00:03<00:28, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 11%|▍ | 55.2M/514M [00:03<00:29, 15.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 11%|▍ | 58.4M/514M [00:03<00:29, 15.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 12%|▍ | 61.9M/514M [00:04<00:28, 16.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 13%|▌ | 65.3M/514M [00:04<00:27, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 13%|▌ | 68.9M/514M [00:04<00:27, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 14%|▌ | 71.8M/514M [00:04<00:28, 15.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 15%|▌ | 75.2M/514M [00:04<00:27, 15.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 15%|▌ | 77.1M/514M [00:04<00:26, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 16%|▋ | 80.3M/514M [00:05<00:26, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 16%|▋ | 83.6M/514M [00:05<00:27, 15.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 17%|▋ | 85.5M/514M [00:05<00:26, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 17%|▋ | 87.2M/514M [00:05<00:26, 16.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 17%|▋ | 89.4M/514M [00:05<00:24, 17.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 18%|▋ | 92.7M/514M [00:05<00:24, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 19%|▋ | 95.8M/514M [00:06<00:25, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 19%|▊ | 97.6M/514M [00:06<00:25, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 19%|▊ | 99.3M/514M [00:06<00:24, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 20%|▉ | 101M/514M [00:06<00:24, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 20%|█ | 103M/514M [00:06<00:24, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 21%|█ | 106M/514M [00:06<00:24, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 21%|█ | 110M/514M [00:06<00:24, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 22%|█ | 113M/514M [00:07<00:24, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 22%|█ | 115M/514M [00:07<00:23, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 23%|█▏ | 117M/514M [00:07<00:23, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 23%|█▏ | 120M/514M [00:07<00:23, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 24%|█▏ | 124M/514M [00:07<00:23, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 25%|█▏ | 127M/514M [00:07<00:23, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 25%|█▎ | 129M/514M [00:08<00:22, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 26%|█▎ | 132M/514M [00:08<00:22, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 26%|█▎ | 134M/514M [00:08<00:22, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 27%|█▎ | 137M/514M [00:08<00:22, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 27%|█▎ | 139M/514M [00:08<00:22, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 27%|█▎ | 141M/514M [00:08<00:21, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 28%|█▍ | 142M/514M [00:08<00:21, 17.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 28%|█▍ | 144M/514M [00:08<00:21, 17.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 29%|█▍ | 147M/514M [00:09<00:22, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 29%|█▍ | 149M/514M [00:09<00:21, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 30%|█▍ | 153M/514M [00:09<00:21, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 30%|█▌ | 154M/514M [00:09<00:21, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 30%|█▌ | 156M/514M [00:09<00:21, 16.6M Bytes/s]
Total: 28%|███████▏ | 10.9G/39.4G [13:40<35:41, 13.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 31%|█▌ | 161M/514M [00:09<00:21, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 32%|█▌ | 165M/514M [00:10<00:20, 17.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 33%|█▋ | 168M/514M [00:10<00:21, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 33%|█▋ | 170M/514M [00:10<00:20, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 34%|█▋ | 173M/514M [00:10<00:19, 17.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 34%|█▋ | 177M/514M [00:10<00:20, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 35%|█▊ | 180M/514M [00:11<00:20, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 35%|█▊ | 182M/514M [00:11<00:19, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 36%|█▊ | 185M/514M [00:11<00:19, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 37%|█▊ | 189M/514M [00:11<00:19, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 37%|█▊ | 191M/514M [00:11<00:19, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 38%|█▉ | 194M/514M [00:11<00:19, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 38%|█▉ | 196M/514M [00:12<00:19, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 39%|█▉ | 199M/514M [00:12<00:18, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 39%|█▉ | 202M/514M [00:12<00:18, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|█▉ | 204M/514M [00:12<00:18, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|██ | 208M/514M [00:12<00:18, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 41%|██ | 211M/514M [00:12<00:18, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 41%|██ | 213M/514M [00:13<00:18, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 42%|██ | 216M/514M [00:13<00:17, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 219M/514M [00:13<00:17, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 221M/514M [00:13<00:18, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 223M/514M [00:13<00:17, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 225M/514M [00:13<00:16, 17.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 228M/514M [00:13<00:17, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▏ | 230M/514M [00:14<00:17, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▎ | 233M/514M [00:14<00:16, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 46%|██▎ | 236M/514M [00:14<00:17, 16.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 46%|██▎ | 238M/514M [00:14<00:16, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 47%|██▎ | 242M/514M [00:14<00:16, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 48%|██▍ | 245M/514M [00:15<00:16, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 48%|██▍ | 247M/514M [00:15<00:16, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 49%|██▍ | 250M/514M [00:15<00:15, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 49%|██▍ | 254M/514M [00:15<00:15, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 50%|██▍ | 256M/514M [00:15<00:15, 17.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 50%|██▌ | 259M/514M [00:15<00:15, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 51%|██▌ | 262M/514M [00:16<00:15, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 51%|██▌ | 264M/514M [00:16<00:15, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 52%|██▌ | 267M/514M [00:16<00:15, 16.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 52%|██▌ | 269M/514M [00:16<00:14, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 53%|██▋ | 273M/514M [00:16<00:14, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 54%|██▋ | 276M/514M [00:16<00:14, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 54%|██▋ | 279M/514M [00:17<00:14, 15.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 55%|██▋ | 281M/514M [00:17<00:13, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 55%|██▊ | 285M/514M [00:17<00:13, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 56%|██▊ | 287M/514M [00:17<00:13, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 56%|██▊ | 290M/514M [00:17<00:13, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 57%|██▊ | 293M/514M [00:17<00:13, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 57%|██▊ | 295M/514M [00:18<00:13, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 58%|██▉ | 299M/514M [00:18<00:13, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 58%|██▉ | 300M/514M [00:18<00:12, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 59%|██▉ | 304M/514M [00:18<00:12, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 60%|██▉ | 307M/514M [00:18<00:12, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 60%|███ | 310M/514M [00:18<00:12, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 61%|███ | 314M/514M [00:19<00:12, 15.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 61%|███ | 316M/514M [00:19<00:11, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 62%|███ | 319M/514M [00:19<00:11, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 62%|███ | 321M/514M [00:19<00:11, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 63%|███▏ | 324M/514M [00:19<00:11, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 63%|███▏ | 326M/514M [00:19<00:11, 16.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 64%|███▏ | 327M/514M [00:20<00:11, 16.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 64%|███▏ | 329M/514M [00:20<00:10, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 65%|███▏ | 333M/514M [00:20<00:10, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 65%|███▎ | 336M/514M [00:20<00:10, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 66%|███▎ | 339M/514M [00:20<00:10, 16.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 66%|███▎ | 341M/514M [00:20<00:10, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 67%|███▎ | 345M/514M [00:21<00:10, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 68%|███▍ | 348M/514M [00:21<00:10, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 68%|███▍ | 350M/514M [00:21<00:09, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 69%|███▍ | 353M/514M [00:21<00:09, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 69%|███▍ | 357M/514M [00:21<00:09, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 70%|███▌ | 360M/514M [00:21<00:09, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 71%|███▌ | 364M/514M [00:22<00:08, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 71%|███▌ | 367M/514M [00:22<00:08, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 72%|███▌ | 370M/514M [00:22<00:08, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 72%|███▌ | 372M/514M [00:22<00:08, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 73%|███▋ | 376M/514M [00:22<00:08, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 74%|███▋ | 379M/514M [00:23<00:08, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 74%|███▋ | 382M/514M [00:23<00:08, 16.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 75%|███▋ | 384M/514M [00:23<00:07, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 75%|███▊ | 388M/514M [00:23<00:07, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 76%|███▊ | 391M/514M [00:23<00:07, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 76%|███▊ | 393M/514M [00:23<00:07, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 77%|███▊ | 396M/514M [00:24<00:06, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 78%|███▉ | 400M/514M [00:24<00:06, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 78%|███▉ | 401M/514M [00:24<00:06, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 79%|███▉ | 405M/514M [00:24<00:06, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 79%|███▉ | 407M/514M [00:24<00:06, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 79%|███▉ | 408M/514M [00:24<00:06, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 80%|████ | 412M/514M [00:25<00:06, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 80%|████ | 414M/514M [00:25<00:06, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 81%|████ | 415M/514M [00:25<00:05, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 81%|████ | 417M/514M [00:25<00:05, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 82%|████ | 420M/514M [00:25<00:05, 17.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 82%|████ | 424M/514M [00:25<00:05, 16.4M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 83%|████▏| 427M/514M [00:26<00:05, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 84%|████▏| 429M/514M [00:26<00:05, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 84%|████▏| 431M/514M [00:26<00:04, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 84%|████▏| 433M/514M [00:26<00:04, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 85%|████▏| 435M/514M [00:26<00:04, 17.2M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 96%|████▊| 495M/514M [00:30<00:01, 16.7M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 98%|████▉| 505M/514M [00:30<00:00, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 508M/514M [00:30<00:00, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 510M/514M [00:30<00:00, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 100%|████▉| 513M/514M [00:31<00:00, 16.3M Bytes/s]
Total: 29%|███████▌ | 11.4G/39.4G [14:02<34:23, 13.6M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 2%| | 8.04M/512M [00:11<04:35, 1.83M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 2%| | 9.23M/512M [00:12<03:39, 2.29M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 2%| | 10.9M/512M [00:12<03:11, 2.62M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 2%| | 11.6M/512M [00:13<02:53, 2.89M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 2%| | 12.2M/512M [00:13<03:04, 2.72M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 2%| | 12.8M/512M [00:13<02:35, 3.20M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 3%| | 13.4M/512M [00:13<02:45, 3.01M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 3%| | 14.0M/512M [00:13<02:20, 3.54M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 3%| | 14.8M/512M [00:14<02:23, 3.47M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 3%| | 15.2M/512M [00:14<02:14, 3.70M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 3%|▏ | 16.2M/512M [00:14<02:08, 3.85M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 3%|▏ | 16.6M/512M [00:14<02:07, 3.90M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 3%|▏ | 17.7M/512M [00:14<01:51, 4.45M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 4%|▏ | 18.6M/512M [00:14<01:54, 4.33M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 4%|▏ | 19.1M/512M [00:15<01:48, 4.53M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 4%|▏ | 20.3M/512M [00:15<01:38, 4.98M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 4%|▏ | 21.3M/512M [00:15<01:41, 4.83M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 4%|▏ | 22.1M/512M [00:15<01:31, 5.35M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 5%|▏ | 23.3M/512M [00:15<01:30, 5.39M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 5%|▏ | 24.4M/512M [00:15<01:31, 5.36M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 5%|▏ | 25.5M/512M [00:16<01:18, 6.22M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 5%|▏ | 26.7M/512M [00:16<01:21, 5.99M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 5%|▏ | 28.0M/512M [00:16<01:20, 6.04M Bytes/s]
Total: 29%|███████▌ | 11.4G/39.4G [14:20<35:06, 13.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 6%|▏ | 30.5M/512M [00:16<01:12, 6.67M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 6%|▏ | 31.5M/512M [00:16<01:05, 7.36M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 6%|▎ | 33.2M/512M [00:17<01:03, 7.60M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 7%|▎ | 34.7M/512M [00:17<01:03, 7.47M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 7%|▎ | 35.7M/512M [00:17<00:59, 8.01M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 7%|▎ | 37.7M/512M [00:17<00:55, 8.60M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 8%|▎ | 39.3M/512M [00:17<00:56, 8.33M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 8%|▎ | 40.4M/512M [00:17<00:53, 8.76M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 8%|▎ | 42.7M/512M [00:18<00:48, 9.64M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 9%|▎ | 44.5M/512M [00:18<00:50, 9.30M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 9%|▎ | 45.6M/512M [00:18<00:48, 9.58M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 9%|▎ | 48.0M/512M [00:18<00:44, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 10%|▍ | 50.3M/512M [00:18<00:44, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 10%|▍ | 52.5M/512M [00:19<00:43, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 11%|▍ | 54.0M/512M [00:19<00:40, 11.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 11%|▍ | 56.6M/512M [00:19<00:38, 11.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 12%|▍ | 61.6M/512M [00:19<00:37, 12.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 12%|▍ | 63.4M/512M [00:19<00:33, 13.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 13%|▌ | 66.2M/512M [00:20<00:33, 13.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 13%|▌ | 69.1M/512M [00:20<00:33, 13.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 14%|▌ | 71.1M/512M [00:20<00:30, 14.5M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 16%|▌ | 79.5M/512M [00:20<00:27, 15.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▋ | 82.5M/512M [00:21<00:27, 15.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▋ | 84.4M/512M [00:21<00:26, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 17%|▋ | 87.8M/512M [00:21<00:26, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 18%|▋ | 91.4M/512M [00:21<00:25, 16.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 19%|▊ | 98.3M/512M [00:22<00:24, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 20%|▉ | 101M/512M [00:22<00:25, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 20%|█ | 103M/512M [00:22<00:24, 16.5M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 21%|█ | 109M/512M [00:22<00:25, 15.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|█ | 111M/512M [00:22<00:24, 16.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 23%|█▏ | 118M/512M [00:23<00:23, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 24%|█▏ | 121M/512M [00:23<00:23, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 24%|█▏ | 123M/512M [00:23<00:23, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 25%|█▏ | 127M/512M [00:23<00:23, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 25%|█▎ | 129M/512M [00:23<00:22, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 26%|█▎ | 132M/512M [00:24<00:22, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 26%|█▎ | 135M/512M [00:24<00:22, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 27%|█▎ | 137M/512M [00:24<00:22, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 27%|█▎ | 140M/512M [00:24<00:22, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|█▍ | 144M/512M [00:24<00:22, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|█▍ | 146M/512M [00:24<00:21, 16.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 30%|█▌ | 156M/512M [00:25<00:21, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 31%|█▌ | 158M/512M [00:25<00:21, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 31%|█▌ | 161M/512M [00:25<00:21, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 165M/512M [00:26<00:20, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 168M/512M [00:26<00:20, 16.6M Bytes/s]
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Total: 30%|███████▊ | 11.9G/39.4G [14:52<34:13, 13.4M Bytes/s]
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Total: 30%|███████▊ | 11.9G/39.4G [15:10<34:54, 13.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 57%|██▊ | 289M/507M [00:17<00:13, 16.4M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 90%|████▌| 458M/507M [00:27<00:02, 16.8M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 95%|████▋| 481M/507M [00:29<00:01, 16.8M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 96%|████▊| 487M/507M [00:29<00:01, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 489M/507M [00:29<00:01, 16.6M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 99%|████▉| 499M/507M [00:30<00:00, 16.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 502M/507M [00:30<00:00, 17.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 505M/507M [00:30<00:00, 17.0M Bytes/s]
Total: 32%|████████▏ | 12.5G/39.4G [15:25<33:24, 13.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/498M [00:00<?, ? Bytes/s]
Get sub-06/s .. _bold.nii.gz: 1%| | 3.73M/498M [00:00<00:26, 18.6M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 3%|▏ | 17.3M/498M [00:01<00:31, 15.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 4%|▏ | 20.2M/498M [00:01<00:34, 13.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 5%|▏ | 22.5M/498M [00:01<00:30, 15.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 5%|▏ | 25.4M/498M [00:01<00:33, 14.1M Bytes/s]
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Total: 32%|████████▏ | 12.5G/39.4G [15:40<33:57, 13.2M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 90%|████▌| 450M/498M [00:27<00:02, 16.9M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 92%|████▌| 459M/498M [00:27<00:02, 17.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|████▋| 463M/498M [00:28<00:02, 17.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|████▋| 466M/498M [00:28<00:02, 16.2M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 95%|████▊| 475M/498M [00:28<00:01, 16.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|████▊| 477M/498M [00:28<00:01, 17.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|████▊| 480M/498M [00:29<00:01, 17.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|████▊| 483M/498M [00:29<00:00, 16.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 486M/498M [00:29<00:00, 16.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 488M/498M [00:29<00:00, 16.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 492M/498M [00:29<00:00, 16.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 494M/498M [00:29<00:00, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 100%|████▉| 497M/498M [00:30<00:00, 17.0M Bytes/s]
Total: 33%|████████▌ | 12.9G/39.4G [15:57<32:37, 13.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/496M [00:00<?, ? Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 32%|█▌ | 160M/496M [00:12<00:25, 13.2M Bytes/s]
Total: 33%|████████▌ | 12.9G/39.4G [16:10<33:03, 13.4M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 78%|███▉ | 387M/496M [00:26<00:06, 16.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 79%|███▉ | 390M/496M [00:26<00:06, 16.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 79%|███▉ | 392M/496M [00:26<00:06, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 80%|███▉ | 395M/496M [00:27<00:06, 15.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 80%|███▉ | 397M/496M [00:27<00:05, 17.0M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 84%|████▏| 417M/496M [00:28<00:04, 16.9M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 90%|████▍| 446M/496M [00:30<00:02, 17.1M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 92%|████▌| 456M/496M [00:30<00:02, 16.5M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 93%|████▋| 462M/496M [00:31<00:02, 16.9M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 94%|████▋| 469M/496M [00:31<00:01, 17.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 95%|████▊| 472M/496M [00:31<00:01, 17.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 96%|████▊| 476M/496M [00:31<00:01, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 96%|████▊| 478M/496M [00:31<00:01, 17.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|████▊| 480M/496M [00:32<00:00, 17.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|████▊| 483M/496M [00:32<00:00, 17.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|████▉| 486M/496M [00:32<00:00, 17.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 490M/496M [00:32<00:00, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 493M/496M [00:32<00:00, 17.0M Bytes/s]
Total: 34%|████████▊ | 13.4G/39.4G [16:32<31:58, 13.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/517M [00:00<?, ? Bytes/s]
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Total: 34%|████████▊ | 13.4G/39.4G [16:50<32:32, 13.3M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 99%|████▉| 514M/517M [00:31<00:00, 17.0M Bytes/s]
Total: 35%|█████████▏ | 14.0G/39.4G [17:04<31:09, 13.6M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 80%|████ | 209M/259M [00:13<00:03, 16.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 82%|████ | 212M/259M [00:13<00:02, 16.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 83%|████▏| 215M/259M [00:13<00:02, 16.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 84%|████▏| 217M/259M [00:13<00:02, 17.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 85%|████▏| 220M/259M [00:14<00:02, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 86%|████▎| 224M/259M [00:14<00:02, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 88%|████▍| 227M/259M [00:14<00:01, 16.3M Bytes/s]
Total: 35%|█████████▏ | 14.0G/39.4G [17:20<31:37, 13.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 90%|████▍| 233M/259M [00:14<00:01, 16.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 90%|████▌| 234M/259M [00:14<00:01, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 92%|████▌| 238M/259M [00:15<00:01, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 93%|████▋| 241M/259M [00:15<00:01, 16.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 94%|████▋| 244M/259M [00:15<00:00, 16.6M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 97%|████▊| 251M/259M [00:15<00:00, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 255M/259M [00:16<00:00, 16.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 258M/259M [00:16<00:00, 16.3M Bytes/s]
Total: 36%|█████████▍ | 14.2G/39.4G [17:22<30:48, 13.6M Bytes/s]
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Total: 36%|█████████▍ | 14.2G/39.4G [17:40<31:19, 13.4M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 99%|████▉| 477M/480M [00:28<00:00, 16.7M Bytes/s]
Total: 37%|█████████▋ | 14.7G/39.4G [17:53<30:05, 13.7M Bytes/s]
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Total: 37%|█████████▋ | 14.7G/39.4G [18:10<30:33, 13.5M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 95%|████▋| 474M/499M [00:33<00:01, 16.4M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 97%|████▊| 485M/499M [00:34<00:00, 16.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 487M/499M [00:34<00:00, 16.6M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 99%|████▉| 496M/499M [00:35<00:00, 16.9M Bytes/s]
Total: 39%|██████████ | 15.2G/39.4G [18:29<29:29, 13.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/498M [00:00<?, ? Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 21%|█ | 105M/498M [00:08<00:25, 15.6M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 23%|█▏ | 113M/498M [00:09<00:22, 17.2M Bytes/s]
Total: 39%|██████████ | 15.2G/39.4G [18:40<29:45, 13.6M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 78%|███▉ | 388M/498M [00:26<00:06, 16.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 78%|███▉ | 390M/498M [00:26<00:06, 16.3M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 80%|████ | 400M/498M [00:26<00:05, 16.5M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 86%|████▎| 426M/498M [00:28<00:04, 17.1M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 91%|████▌| 455M/498M [00:30<00:02, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 92%|████▌| 456M/498M [00:30<00:02, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 92%|████▌| 458M/498M [00:30<00:02, 16.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|████▋| 462M/498M [00:30<00:02, 17.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 95%|████▊| 473M/498M [00:31<00:01, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|████▊| 477M/498M [00:31<00:01, 16.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|████▊| 480M/498M [00:31<00:01, 15.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|████▊| 482M/498M [00:31<00:00, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|████▊| 485M/498M [00:31<00:00, 16.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 488M/498M [00:32<00:00, 15.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 490M/498M [00:32<00:00, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 494M/498M [00:32<00:00, 16.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 100%|████▉| 497M/498M [00:32<00:00, 16.1M Bytes/s]
Total: 40%|██████████▎ | 15.7G/39.4G [19:04<28:50, 13.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/505M [00:00<?, ? Bytes/s]
Get sub-08/s .. _bold.nii.gz: 1%| | 3.88M/505M [00:00<00:28, 17.4M Bytes/s]
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Total: 40%|██████████▎ | 15.7G/39.4G [19:20<29:13, 13.5M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 94%|████▋| 473M/505M [00:29<00:01, 16.3M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 95%|████▊| 481M/505M [00:29<00:01, 16.1M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 98%|████▉| 493M/505M [00:30<00:00, 16.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 495M/505M [00:30<00:00, 16.8M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 99%|████▉| 500M/505M [00:31<00:00, 17.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 504M/505M [00:31<00:00, 17.1M Bytes/s]
Total: 41%|██████████▋ | 16.2G/39.4G [19:37<28:08, 13.8M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 26%|█▎ | 136M/519M [00:10<00:26, 14.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 27%|█▎ | 138M/519M [00:11<00:30, 12.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 27%|█▎ | 140M/519M [00:11<00:25, 14.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 28%|█▍ | 143M/519M [00:11<00:28, 13.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 28%|█▍ | 145M/519M [00:11<00:25, 14.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 28%|█▍ | 147M/519M [00:11<00:28, 12.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 29%|█▍ | 150M/519M [00:11<00:25, 14.7M Bytes/s]
Total: 41%|██████████▋ | 16.2G/39.4G [19:50<28:26, 13.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 30%|█▍ | 154M/519M [00:12<00:24, 14.7M Bytes/s]
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Total: 42%|███████████ | 16.7G/39.4G [20:15<27:30, 13.8M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 40%|██ | 209M/522M [00:12<00:19, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|██ | 211M/522M [00:13<00:18, 16.7M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 41%|██ | 216M/522M [00:13<00:18, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 42%|██ | 219M/522M [00:13<00:17, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 223M/522M [00:13<00:17, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 226M/522M [00:13<00:17, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 228M/522M [00:14<00:17, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 229M/522M [00:14<00:17, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▏ | 233M/522M [00:14<00:17, 16.7M Bytes/s]
Total: 42%|███████████ | 16.7G/39.4G [20:30<27:50, 13.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 46%|██▎ | 238M/522M [00:14<00:17, 16.6M Bytes/s]
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Total: 44%|███████████▎ | 17.2G/39.4G [20:48<26:45, 13.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 33%|█▋ | 157M/470M [00:10<00:18, 16.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 34%|█▋ | 161M/470M [00:10<00:19, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 35%|█▋ | 163M/470M [00:10<00:17, 17.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 35%|█▊ | 166M/470M [00:10<00:18, 16.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 36%|█▊ | 169M/470M [00:11<00:19, 15.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 36%|█▊ | 171M/470M [00:11<00:17, 16.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 37%|█▊ | 175M/470M [00:11<00:17, 16.9M Bytes/s]
Total: 44%|███████████▎ | 17.2G/39.4G [21:00<27:01, 13.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 38%|█▉ | 180M/470M [00:11<00:17, 16.5M Bytes/s]
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Total: 45%|███████████▋ | 17.7G/39.4G [21:18<26:08, 13.9M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 30%|█▍ | 147M/492M [00:09<00:20, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 31%|█▌ | 150M/492M [00:09<00:21, 16.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 31%|█▌ | 152M/492M [00:09<00:20, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 32%|█▌ | 155M/492M [00:10<00:20, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 32%|█▌ | 159M/492M [00:10<00:20, 16.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 33%|█▋ | 160M/492M [00:10<00:20, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 33%|█▋ | 162M/492M [00:10<00:20, 16.1M Bytes/s]
Total: 45%|███████████▋ | 17.7G/39.4G [21:30<26:21, 13.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 167M/492M [00:10<00:19, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 35%|█▋ | 171M/492M [00:11<00:19, 16.1M Bytes/s]
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Total: 46%|████████████ | 18.2G/39.4G [21:51<25:29, 13.9M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 54%|██▋ | 256M/473M [00:18<00:12, 16.6M Bytes/s]
Total: 46%|████████████ | 18.2G/39.4G [22:10<25:50, 13.7M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 100%|████▉| 472M/473M [00:31<00:00, 16.6M Bytes/s]
Total: 47%|████████████▎ | 18.7G/39.4G [22:24<24:54, 13.9M Bytes/s]
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Total: 47%|████████████▎ | 18.7G/39.4G [22:40<25:11, 13.7M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 98%|████▉| 466M/478M [00:28<00:00, 16.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 468M/478M [00:28<00:00, 16.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 470M/478M [00:28<00:00, 16.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 472M/478M [00:28<00:00, 17.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 475M/478M [00:28<00:00, 16.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 100%|████▉| 477M/478M [00:29<00:00, 17.3M Bytes/s]
Total: 49%|████████████▋ | 19.2G/39.4G [22:55<24:16, 13.9M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 20%|▉ | 100M/512M [00:08<00:25, 16.4M Bytes/s]
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Total: 49%|████████████▋ | 19.2G/39.4G [23:10<24:31, 13.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 80%|████ | 411M/512M [00:27<00:06, 16.4M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 91%|████▌| 463M/512M [00:30<00:02, 16.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 92%|████▌| 469M/512M [00:30<00:02, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 92%|████▌| 471M/512M [00:31<00:02, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 93%|████▋| 474M/512M [00:31<00:02, 15.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 93%|████▋| 476M/512M [00:31<00:02, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|████▋| 480M/512M [00:31<00:01, 16.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 95%|████▊| 486M/512M [00:31<00:01, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 95%|████▊| 488M/512M [00:32<00:01, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|████▊| 492M/512M [00:32<00:01, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 495M/512M [00:32<00:01, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 497M/512M [00:32<00:00, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 500M/512M [00:32<00:00, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 503M/512M [00:32<00:00, 15.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 505M/512M [00:33<00:00, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 509M/512M [00:33<00:00, 16.7M Bytes/s]
Total: 50%|████████████▉ | 19.7G/39.4G [23:32<23:39, 13.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/514M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 3.89M/514M [00:00<00:33, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 6.17M/514M [00:00<00:28, 17.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 8.97M/514M [00:00<00:31, 15.8M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 4%|▏ | 18.2M/514M [00:01<00:33, 14.8M Bytes/s]
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Total: 50%|████████████▉ | 19.7G/39.4G [23:50<23:57, 13.8M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 79%|███▉ | 408M/514M [00:25<00:06, 16.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 80%|███▉ | 410M/514M [00:25<00:06, 16.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 80%|████ | 413M/514M [00:25<00:06, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 81%|████ | 417M/514M [00:25<00:05, 16.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 82%|████ | 419M/514M [00:26<00:06, 15.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 82%|████ | 421M/514M [00:26<00:05, 15.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 87%|████▎| 450M/514M [00:27<00:03, 16.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 88%|████▍| 453M/514M [00:28<00:03, 16.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 91%|████▌| 470M/514M [00:29<00:02, 17.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 92%|████▌| 474M/514M [00:29<00:02, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 93%|████▋| 477M/514M [00:29<00:02, 16.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 93%|████▋| 480M/514M [00:29<00:02, 16.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 94%|████▋| 482M/514M [00:29<00:01, 16.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 94%|████▋| 485M/514M [00:30<00:01, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|████▋| 488M/514M [00:30<00:01, 16.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|████▊| 490M/514M [00:30<00:01, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|████▊| 494M/514M [00:30<00:01, 16.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 497M/514M [00:30<00:01, 16.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 499M/514M [00:30<00:00, 16.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 500M/514M [00:31<00:00, 16.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 502M/514M [00:31<00:00, 16.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 505M/514M [00:31<00:00, 16.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 507M/514M [00:31<00:00, 17.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 511M/514M [00:31<00:00, 17.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 100%|████▉| 514M/514M [00:31<00:00, 16.4M Bytes/s]
Total: 51%|█████████████▎ | 20.2G/39.4G [24:05<22:59, 14.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/496M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 1%| | 3.88M/496M [00:00<00:25, 19.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 1%| | 7.34M/496M [00:00<00:30, 16.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 2%| | 10.3M/496M [00:00<00:33, 14.3M Bytes/s]
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Total: 51%|█████████████▎ | 20.2G/39.4G [24:20<23:12, 13.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 99%|████▉| 488M/496M [00:30<00:00, 16.7M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 100%|████▉| 494M/496M [00:30<00:00, 16.9M Bytes/s]
Total: 52%|█████████████▋ | 20.7G/39.4G [24:38<22:21, 14.0M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 165M/510M [00:10<00:20, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 169M/510M [00:10<00:20, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 171M/510M [00:10<00:19, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 174M/510M [00:10<00:20, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 176M/510M [00:10<00:19, 17.0M Bytes/s]
Total: 52%|█████████████▋ | 20.7G/39.4G [24:50<22:31, 13.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 36%|█▊ | 182M/510M [00:11<00:20, 16.3M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 96%|████▊| 492M/510M [00:29<00:01, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 495M/510M [00:30<00:00, 16.6M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 100%|████▉| 507M/510M [00:30<00:00, 17.0M Bytes/s]
Total: 54%|█████████████▉ | 21.2G/39.4G [25:10<21:41, 14.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 42%|██ | 207M/497M [00:16<00:22, 12.9M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 44%|██▏ | 218M/497M [00:17<00:22, 12.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 44%|██▏ | 221M/497M [00:17<00:21, 12.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 45%|██▏ | 223M/497M [00:17<00:20, 13.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 45%|██▎ | 225M/497M [00:18<00:20, 13.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 46%|██▎ | 228M/497M [00:18<00:17, 15.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 47%|██▎ | 232M/497M [00:18<00:19, 13.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 47%|██▎ | 235M/497M [00:18<00:19, 13.3M Bytes/s]
Total: 54%|█████████████▉ | 21.2G/39.4G [25:30<21:57, 13.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 48%|██▍ | 239M/497M [00:19<00:19, 12.9M Bytes/s]
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Total: 55%|██████████████▎ | 21.7G/39.4G [25:49<21:08, 14.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 52%|██▌ | 134M/255M [00:09<00:08, 14.7M Bytes/s]
Total: 55%|██████████████▎ | 21.7G/39.4G [26:00<21:16, 13.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 55%|██▋ | 139M/255M [00:10<00:07, 15.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 92%|████▌| 234M/255M [00:16<00:01, 16.3M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 94%|████▋| 238M/255M [00:16<00:01, 16.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 95%|████▋| 242M/255M [00:16<00:00, 16.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|████▊| 245M/255M [00:17<00:00, 15.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|████▊| 247M/255M [00:17<00:00, 16.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 250M/255M [00:17<00:00, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 100%|████▉| 254M/255M [00:17<00:00, 15.8M Bytes/s]
Total: 56%|██████████████▍ | 21.9G/39.4G [26:08<20:50, 14.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 0%| | 0.00/515M [00:00<?, ? Bytes/s]
Get sub-01/s .. _bold.nii.gz: 1%| | 3.56M/515M [00:00<00:28, 17.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 1%| | 6.49M/515M [00:00<00:35, 14.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 2%| | 8.41M/515M [00:00<00:32, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 2%| | 11.0M/515M [00:00<00:34, 14.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 2%| | 12.6M/515M [00:00<00:35, 14.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 3%| | 15.6M/515M [00:01<00:34, 14.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 3%|▏ | 17.2M/515M [00:01<00:34, 14.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 4%|▏ | 19.7M/515M [00:01<00:36, 13.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 4%|▏ | 21.6M/515M [00:01<00:33, 14.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 5%|▏ | 25.0M/515M [00:01<00:32, 15.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 5%|▏ | 26.7M/515M [00:01<00:32, 14.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 6%|▏ | 28.4M/515M [00:01<00:31, 15.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 6%|▏ | 30.2M/515M [00:02<00:32, 15.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 6%|▏ | 32.2M/515M [00:02<00:31, 15.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 7%|▎ | 33.9M/515M [00:02<00:29, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 7%|▎ | 37.1M/515M [00:02<00:30, 15.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 8%|▎ | 40.4M/515M [00:02<00:30, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 8%|▎ | 42.2M/515M [00:02<00:29, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 9%|▎ | 46.2M/515M [00:02<00:27, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 10%|▍ | 49.3M/515M [00:03<00:28, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 10%|▍ | 52.4M/515M [00:03<00:29, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 11%|▍ | 54.4M/515M [00:03<00:28, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 11%|▍ | 57.7M/515M [00:03<00:27, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 12%|▍ | 60.8M/515M [00:03<00:28, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 12%|▍ | 63.0M/515M [00:04<00:26, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 13%|▌ | 66.1M/515M [00:04<00:27, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 13%|▌ | 69.3M/515M [00:04<00:28, 15.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 14%|▌ | 71.3M/515M [00:04<00:26, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 14%|▌ | 74.6M/515M [00:04<00:26, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 15%|▌ | 77.6M/515M [00:04<00:27, 15.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 15%|▌ | 79.8M/515M [00:05<00:25, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▋ | 83.2M/515M [00:05<00:25, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 17%|▋ | 86.3M/515M [00:05<00:26, 16.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 17%|▋ | 88.3M/515M [00:05<00:25, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 18%|▋ | 91.7M/515M [00:05<00:25, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 18%|▋ | 94.8M/515M [00:06<00:26, 16.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 19%|▊ | 96.8M/515M [00:06<00:25, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 19%|▉ | 100M/515M [00:06<00:24, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 20%|█ | 103M/515M [00:06<00:25, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 20%|█ | 105M/515M [00:06<00:25, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 21%|█ | 107M/515M [00:06<00:24, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 21%|█ | 109M/515M [00:06<00:24, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|█ | 112M/515M [00:07<00:25, 15.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|█ | 114M/515M [00:07<00:24, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 23%|█▏ | 117M/515M [00:07<00:23, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 23%|█▏ | 120M/515M [00:07<00:24, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 24%|█▏ | 122M/515M [00:07<00:24, 16.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 24%|█▏ | 124M/515M [00:07<00:24, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 24%|█▏ | 126M/515M [00:07<00:23, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 25%|█▎ | 129M/515M [00:08<00:24, 16.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 25%|█▎ | 130M/515M [00:08<00:23, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 26%|█▎ | 132M/515M [00:08<00:22, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 26%|█▎ | 136M/515M [00:08<00:22, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 27%|█▎ | 139M/515M [00:08<00:22, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|█▍ | 143M/515M [00:08<00:23, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|█▍ | 145M/515M [00:09<00:21, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 29%|█▍ | 149M/515M [00:09<00:21, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 29%|█▍ | 152M/515M [00:09<00:22, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 30%|█▍ | 154M/515M [00:09<00:21, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 31%|█▌ | 157M/515M [00:09<00:21, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 31%|█▌ | 160M/515M [00:09<00:21, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 162M/515M [00:10<00:20, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 166M/515M [00:10<00:20, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 169M/515M [00:10<00:21, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 171M/515M [00:10<00:20, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 174M/515M [00:10<00:19, 17.2M Bytes/s]
Total: 56%|██████████████▍ | 21.9G/39.4G [26:20<20:59, 13.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█▋ | 180M/515M [00:11<00:19, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 36%|█▊ | 184M/515M [00:11<00:20, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 36%|█▊ | 186M/515M [00:11<00:19, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 37%|█▊ | 189M/515M [00:11<00:20, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 37%|█▊ | 191M/515M [00:11<00:19, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▉ | 195M/515M [00:12<00:18, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▉ | 198M/515M [00:12<00:19, 16.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▉ | 200M/515M [00:12<00:18, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|█▉ | 204M/515M [00:12<00:19, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|█▉ | 206M/515M [00:12<00:18, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 41%|██ | 209M/515M [00:12<00:18, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 41%|██ | 212M/515M [00:13<00:18, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 42%|██ | 214M/515M [00:13<00:17, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 42%|██ | 218M/515M [00:13<00:17, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 43%|██▏ | 221M/515M [00:13<00:18, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 43%|██▏ | 223M/515M [00:13<00:17, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 44%|██▏ | 226M/515M [00:13<00:17, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 45%|██▏ | 229M/515M [00:14<00:17, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 45%|██▏ | 231M/515M [00:14<00:16, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 46%|██▎ | 235M/515M [00:14<00:16, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 46%|██▎ | 238M/515M [00:14<00:17, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 47%|██▎ | 240M/515M [00:14<00:16, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 47%|██▎ | 243M/515M [00:14<00:16, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 48%|██▍ | 247M/515M [00:15<00:16, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 48%|██▍ | 249M/515M [00:15<00:15, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 49%|██▍ | 252M/515M [00:15<00:15, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 50%|██▍ | 255M/515M [00:15<00:15, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 50%|██▍ | 257M/515M [00:15<00:15, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 51%|██▌ | 261M/515M [00:15<00:14, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 51%|██▌ | 264M/515M [00:16<00:15, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 52%|██▌ | 266M/515M [00:16<00:14, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 52%|██▌ | 269M/515M [00:16<00:14, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 53%|██▋ | 272M/515M [00:16<00:15, 16.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 53%|██▋ | 275M/515M [00:16<00:14, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 54%|██▋ | 278M/515M [00:17<00:14, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 55%|██▋ | 281M/515M [00:17<00:14, 16.1M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 56%|██▊ | 286M/515M [00:17<00:13, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 56%|██▊ | 289M/515M [00:17<00:14, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 57%|██▊ | 292M/515M [00:17<00:13, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 57%|██▊ | 295M/515M [00:18<00:13, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 58%|██▉ | 298M/515M [00:18<00:12, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 58%|██▉ | 300M/515M [00:18<00:12, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 59%|██▉ | 302M/515M [00:18<00:12, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 59%|██▉ | 303M/515M [00:18<00:12, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 59%|██▉ | 305M/515M [00:18<00:12, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 60%|██▉ | 309M/515M [00:18<00:12, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 61%|███ | 312M/515M [00:19<00:11, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 61%|███ | 315M/515M [00:19<00:11, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 62%|███ | 317M/515M [00:19<00:11, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 62%|███ | 321M/515M [00:19<00:11, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 63%|███▏ | 324M/515M [00:19<00:11, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 64%|███▏ | 328M/515M [00:20<00:11, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 64%|███▏ | 331M/515M [00:20<00:11, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 65%|███▏ | 333M/515M [00:20<00:10, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 65%|███▎ | 336M/515M [00:20<00:10, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 66%|███▎ | 338M/515M [00:20<00:11, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 66%|███▎ | 340M/515M [00:20<00:10, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 66%|███▎ | 341M/515M [00:20<00:10, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 67%|███▎ | 343M/515M [00:20<00:10, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 67%|███▎ | 345M/515M [00:21<00:10, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 68%|███▍ | 348M/515M [00:21<00:10, 16.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 68%|███▍ | 350M/515M [00:21<00:09, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 69%|███▍ | 353M/515M [00:21<00:09, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 69%|███▍ | 357M/515M [00:21<00:09, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 70%|███▍ | 360M/515M [00:21<00:09, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 71%|███▌ | 363M/515M [00:22<00:09, 15.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 71%|███▌ | 365M/515M [00:22<00:08, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 72%|███▌ | 369M/515M [00:22<00:08, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 72%|███▌ | 371M/515M [00:22<00:09, 15.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 73%|███▋ | 374M/515M [00:22<00:08, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 73%|███▋ | 377M/515M [00:23<00:08, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 74%|███▋ | 380M/515M [00:23<00:08, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 74%|███▋ | 382M/515M [00:23<00:08, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 75%|███▋ | 386M/515M [00:23<00:07, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 75%|███▊ | 388M/515M [00:23<00:08, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 76%|███▊ | 391M/515M [00:23<00:07, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 77%|███▊ | 394M/515M [00:24<00:07, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 77%|███▊ | 397M/515M [00:24<00:07, 15.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 78%|███▉ | 399M/515M [00:24<00:07, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 78%|███▉ | 403M/515M [00:24<00:06, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 79%|███▉ | 406M/515M [00:24<00:06, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 79%|███▉ | 407M/515M [00:24<00:06, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 80%|███▉ | 411M/515M [00:25<00:06, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 80%|████ | 414M/515M [00:25<00:06, 15.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 81%|████ | 416M/515M [00:25<00:05, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 81%|████ | 419M/515M [00:25<00:05, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 82%|████ | 422M/515M [00:25<00:05, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 82%|████ | 424M/515M [00:25<00:05, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 83%|████▏| 428M/515M [00:26<00:05, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 84%|████▏| 431M/515M [00:26<00:05, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 84%|████▏| 433M/515M [00:26<00:04, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 85%|████▏| 436M/515M [00:26<00:04, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 85%|████▎| 440M/515M [00:26<00:04, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 86%|████▎| 441M/515M [00:26<00:04, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 86%|████▎| 443M/515M [00:27<00:04, 16.5M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 87%|████▎| 448M/515M [00:27<00:04, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 88%|████▍| 452M/515M [00:27<00:03, 16.6M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 95%|████▊| 490M/515M [00:29<00:01, 16.6M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 100%|████▉| 513M/515M [00:31<00:00, 17.1M Bytes/s]
Total: 57%|██████████████▊ | 22.5G/39.4G [26:41<20:10, 14.0M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 46%|██▎ | 241M/522M [00:14<00:16, 16.8M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 48%|██▍ | 250M/522M [00:15<00:15, 17.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 48%|██▍ | 253M/522M [00:15<00:16, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 49%|██▍ | 256M/522M [00:15<00:16, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 49%|██▍ | 258M/522M [00:15<00:15, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 50%|██▌ | 261M/522M [00:16<00:15, 16.9M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 51%|██▌ | 267M/522M [00:16<00:14, 17.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 52%|██▌ | 270M/522M [00:16<00:14, 17.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 52%|██▌ | 274M/522M [00:16<00:15, 16.2M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 53%|██▋ | 279M/522M [00:17<00:14, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 54%|██▋ | 282M/522M [00:17<00:14, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 54%|██▋ | 284M/522M [00:17<00:14, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 55%|██▋ | 286M/522M [00:17<00:14, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 55%|██▊ | 288M/522M [00:17<00:13, 17.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 56%|██▊ | 291M/522M [00:17<00:14, 16.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 56%|██▊ | 293M/522M [00:18<00:13, 16.5M Bytes/s]
Total: 57%|██████████████▊ | 22.5G/39.4G [27:00<20:25, 13.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 57%|██▊ | 299M/522M [00:18<00:13, 16.0M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 100%|████▉| 522M/522M [00:32<00:00, 16.4M Bytes/s]
Total: 58%|███████████████▏ | 23.0G/39.4G [27:15<19:31, 14.0M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 42%|██ | 209M/496M [00:12<00:17, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 43%|██▏ | 213M/496M [00:13<00:16, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 43%|██▏ | 216M/496M [00:13<00:16, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 44%|██▏ | 219M/496M [00:13<00:16, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 45%|██▏ | 221M/496M [00:13<00:16, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 45%|██▏ | 223M/496M [00:13<00:16, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 46%|██▎ | 226M/496M [00:13<00:16, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 46%|██▎ | 228M/496M [00:14<00:16, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 46%|██▎ | 230M/496M [00:14<00:15, 16.7M Bytes/s]
Total: 58%|███████████████▏ | 23.0G/39.4G [27:30<19:41, 13.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 47%|██▎ | 235M/496M [00:14<00:16, 16.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 100%|████▉| 495M/496M [00:30<00:00, 16.4M Bytes/s]
Total: 60%|███████████████▍ | 23.5G/39.4G [27:47<18:54, 14.1M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 50%|██▌ | 122M/243M [00:10<00:07, 16.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 51%|██▌ | 125M/243M [00:10<00:08, 14.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 52%|██▌ | 127M/243M [00:10<00:08, 14.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 53%|██▋ | 130M/243M [00:10<00:06, 16.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 55%|██▋ | 133M/243M [00:10<00:07, 14.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 56%|██▊ | 135M/243M [00:10<00:06, 15.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 57%|██▊ | 138M/243M [00:11<00:07, 14.2M Bytes/s]
Total: 60%|███████████████▍ | 23.5G/39.4G [28:00<19:02, 14.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 59%|██▉ | 143M/243M [00:11<00:07, 14.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 60%|██▉ | 146M/243M [00:11<00:05, 16.5M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 81%|████ | 196M/243M [00:14<00:02, 16.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 82%|████ | 199M/243M [00:15<00:02, 15.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 83%|████▏| 201M/243M [00:15<00:02, 16.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 84%|████▏| 205M/243M [00:15<00:02, 15.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 85%|████▎| 207M/243M [00:15<00:02, 17.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 86%|████▎| 210M/243M [00:15<00:01, 16.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 88%|████▍| 213M/243M [00:15<00:01, 15.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 89%|████▍| 215M/243M [00:15<00:01, 17.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 90%|████▍| 218M/243M [00:16<00:01, 16.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 91%|████▌| 222M/243M [00:16<00:01, 15.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 92%|████▌| 224M/243M [00:16<00:01, 16.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 93%|████▋| 227M/243M [00:16<00:01, 15.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 94%|████▋| 229M/243M [00:16<00:00, 17.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 96%|████▊| 233M/243M [00:17<00:00, 16.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 97%|████▊| 236M/243M [00:17<00:00, 15.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 238M/243M [00:17<00:00, 16.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 241M/243M [00:17<00:00, 16.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 100%|████▉| 243M/243M [00:17<00:00, 16.4M Bytes/s]
Total: 60%|███████████████▋ | 23.7G/39.4G [28:07<18:38, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/502M [00:00<?, ? Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 1%| | 4.75M/502M [00:00<00:55, 8.92M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 6.61M/502M [00:00<00:51, 9.56M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 8.54M/502M [00:00<00:48, 10.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 10.4M/502M [00:01<00:47, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 12.4M/502M [00:01<00:45, 10.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 3%| | 14.2M/502M [00:01<00:46, 10.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 3%|▏ | 16.3M/502M [00:01<00:43, 11.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 4%|▏ | 18.0M/502M [00:01<00:44, 10.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 4%|▏ | 20.1M/502M [00:01<00:43, 11.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 4%|▏ | 22.0M/502M [00:02<00:43, 11.1M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 20%|█ | 102M/502M [00:08<00:32, 12.2M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 22%|█ | 110M/502M [00:09<00:31, 12.4M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 25%|█▏ | 125M/502M [00:10<00:26, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 25%|█▎ | 128M/502M [00:11<00:30, 12.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|█▎ | 130M/502M [00:11<00:29, 12.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|█▎ | 132M/502M [00:11<00:29, 12.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|█▎ | 135M/502M [00:11<00:28, 12.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|█▎ | 137M/502M [00:11<00:25, 14.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 28%|█▍ | 139M/502M [00:11<00:28, 12.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 28%|█▍ | 141M/502M [00:12<00:28, 12.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 29%|█▍ | 144M/502M [00:12<00:27, 12.9M Bytes/s]
Total: 60%|███████████████▋ | 23.7G/39.4G [28:20<18:46, 14.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 30%|█▍ | 148M/502M [00:12<00:27, 13.0M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 52%|██▌ | 263M/502M [00:21<00:21, 11.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 53%|██▋ | 265M/502M [00:21<00:22, 10.4M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 53%|██▋ | 269M/502M [00:22<00:22, 10.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 54%|██▋ | 270M/502M [00:22<00:20, 11.4M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 55%|██▊ | 277M/502M [00:22<00:20, 11.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 55%|██▊ | 278M/502M [00:22<00:18, 11.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 56%|██▊ | 281M/502M [00:23<00:19, 11.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 56%|██▊ | 282M/502M [00:23<00:18, 11.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 57%|██▊ | 285M/502M [00:23<00:18, 11.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 57%|██▊ | 286M/502M [00:23<00:17, 12.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 58%|██▉ | 289M/502M [00:23<00:17, 12.0M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 59%|██▉ | 296M/502M [00:24<00:16, 12.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 59%|██▉ | 297M/502M [00:24<00:16, 12.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 60%|██▉ | 300M/502M [00:24<00:15, 13.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 60%|███ | 302M/502M [00:24<00:16, 11.9M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 65%|███▎ | 328M/502M [00:26<00:12, 13.4M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 67%|███▎ | 335M/502M [00:27<00:12, 13.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 67%|███▎ | 338M/502M [00:27<00:12, 12.9M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 68%|███▍ | 342M/502M [00:27<00:11, 13.7M Bytes/s]
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Total: 61%|███████████████▉ | 24.2G/39.4G [28:47<18:05, 14.0M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 164M/514M [00:10<00:21, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 166M/514M [00:10<00:20, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 170M/514M [00:10<00:20, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 173M/514M [00:10<00:21, 16.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 175M/514M [00:10<00:20, 16.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█▋ | 178M/514M [00:11<00:20, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█▊ | 182M/514M [00:11<00:20, 16.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 36%|█▊ | 184M/514M [00:11<00:19, 16.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 36%|█▊ | 187M/514M [00:11<00:19, 16.6M Bytes/s]
Total: 61%|███████████████▉ | 24.2G/39.4G [29:00<18:13, 13.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 37%|█▊ | 192M/514M [00:11<00:19, 16.8M Bytes/s]
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Total: 63%|████████████████▎ | 24.7G/39.4G [29:21<17:26, 14.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 37%|█▊ | 187M/499M [00:14<00:21, 14.4M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 39%|█▉ | 195M/499M [00:14<00:18, 16.3M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 40%|██ | 200M/499M [00:15<00:17, 16.8M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 41%|██ | 206M/499M [00:15<00:17, 16.8M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 42%|██ | 211M/499M [00:15<00:17, 16.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 43%|██▏ | 213M/499M [00:15<00:18, 15.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 43%|██▏ | 216M/499M [00:16<00:20, 14.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 44%|██▏ | 218M/499M [00:16<00:17, 16.1M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 45%|██▎ | 225M/499M [00:16<00:17, 15.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 45%|██▎ | 227M/499M [00:16<00:18, 15.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 46%|██▎ | 229M/499M [00:17<00:16, 16.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 47%|██▎ | 233M/499M [00:17<00:16, 16.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 47%|██▎ | 235M/499M [00:17<00:17, 15.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 48%|██▍ | 238M/499M [00:17<00:15, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 48%|██▍ | 241M/499M [00:17<00:16, 15.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 49%|██▍ | 243M/499M [00:17<00:15, 16.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 49%|██▍ | 247M/499M [00:18<00:16, 15.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 50%|██▌ | 250M/499M [00:18<00:15, 16.4M Bytes/s]
Total: 63%|████████████████▎ | 24.7G/39.4G [29:40<17:38, 13.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 51%|██▌ | 255M/499M [00:18<00:15, 15.3M Bytes/s]
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Total: 64%|████████████████▋ | 25.2G/39.4G [29:55<16:51, 14.1M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 28%|█▍ | 138M/499M [00:10<00:23, 15.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 28%|█▍ | 141M/499M [00:11<00:24, 14.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 29%|█▍ | 143M/499M [00:11<00:23, 15.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 29%|█▍ | 146M/499M [00:11<00:24, 14.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 30%|█▍ | 148M/499M [00:11<00:22, 15.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 30%|█▌ | 151M/499M [00:11<00:24, 14.5M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 31%|█▌ | 156M/499M [00:12<00:23, 14.4M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 33%|█▋ | 163M/499M [00:12<00:21, 15.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 33%|█▋ | 167M/499M [00:12<00:20, 15.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 34%|█▋ | 169M/499M [00:12<00:22, 14.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 34%|█▋ | 171M/499M [00:13<00:21, 15.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 35%|█▋ | 174M/499M [00:13<00:20, 15.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 35%|█▊ | 177M/499M [00:13<00:22, 14.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 36%|█▊ | 179M/499M [00:13<00:21, 15.0M Bytes/s]
Total: 64%|████████████████▋ | 25.2G/39.4G [30:10<16:58, 13.9M Bytes/s]
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Total: 65%|████████████████▉ | 25.7G/39.4G [30:30<16:15, 14.1M Bytes/s]
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Total: 65%|████████████████▉ | 25.7G/39.4G [30:50<16:25, 13.9M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 80%|████ | 412M/514M [00:29<00:06, 16.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 81%|████ | 417M/514M [00:29<00:05, 16.5M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 90%|████▌| 464M/514M [00:32<00:03, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 91%|████▌| 466M/514M [00:32<00:02, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 91%|████▌| 470M/514M [00:33<00:02, 15.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 92%|████▌| 472M/514M [00:33<00:02, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 92%|████▌| 476M/514M [00:33<00:02, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 93%|████▋| 479M/514M [00:33<00:02, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|████▋| 482M/514M [00:33<00:01, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|████▋| 484M/514M [00:33<00:01, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 95%|████▋| 488M/514M [00:34<00:01, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 95%|████▊| 491M/514M [00:34<00:01, 16.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|████▊| 493M/514M [00:34<00:01, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|████▊| 496M/514M [00:34<00:01, 17.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 498M/514M [00:34<00:00, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 502M/514M [00:35<00:00, 17.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 505M/514M [00:35<00:00, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 508M/514M [00:35<00:00, 15.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 510M/514M [00:35<00:00, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 100%|████▉| 513M/514M [00:35<00:00, 15.3M Bytes/s]
Total: 67%|█████████████████▎ | 26.2G/39.4G [31:07<15:38, 14.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/522M [00:00<?, ? Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 2.46M/522M [00:00<00:21, 24.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 1%| | 5.43M/522M [00:00<00:53, 9.62M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 1%| | 7.70M/522M [00:00<00:47, 10.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 2%| | 9.83M/522M [00:00<00:39, 13.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 2%| | 12.4M/522M [00:01<00:42, 12.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 3%| | 14.7M/522M [00:01<00:35, 14.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 3%|▏ | 17.1M/522M [00:01<00:40, 12.4M Bytes/s]
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Total: 67%|█████████████████▎ | 26.2G/39.4G [31:20<15:44, 14.0M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 96%|████▊| 500M/522M [00:30<00:01, 15.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 96%|████▊| 503M/522M [00:31<00:01, 16.1M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 97%|████▊| 507M/522M [00:31<00:00, 15.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|████▉| 510M/522M [00:31<00:00, 16.2M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 99%|████▉| 518M/522M [00:32<00:00, 16.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 100%|████▉| 520M/522M [00:32<00:00, 16.3M Bytes/s]
Total: 68%|█████████████████▋ | 26.8G/39.4G [31:41<15:00, 14.1M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 47%|██▎ | 237M/508M [00:14<00:16, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 47%|██▎ | 241M/508M [00:14<00:15, 17.3M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 50%|██▍ | 251M/508M [00:15<00:15, 16.6M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 51%|██▌ | 260M/508M [00:15<00:14, 16.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 52%|██▌ | 264M/508M [00:16<00:14, 16.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 53%|██▋ | 267M/508M [00:16<00:14, 16.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 53%|██▋ | 269M/508M [00:16<00:14, 17.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 54%|██▋ | 272M/508M [00:16<00:14, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 54%|██▋ | 274M/508M [00:16<00:14, 16.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 55%|██▋ | 277M/508M [00:17<00:14, 16.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 55%|██▋ | 279M/508M [00:17<00:13, 16.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 56%|██▊ | 282M/508M [00:17<00:13, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 56%|██▊ | 286M/508M [00:17<00:13, 16.7M Bytes/s]
Total: 68%|█████████████████▋ | 26.8G/39.4G [32:00<15:08, 13.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 58%|██▉ | 293M/508M [00:17<00:12, 16.6M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 87%|████▎| 442M/508M [00:27<00:03, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 87%|████▎| 444M/508M [00:27<00:03, 16.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 88%|████▍| 446M/508M [00:27<00:03, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 88%|████▍| 449M/508M [00:27<00:03, 16.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 89%|████▍| 451M/508M [00:27<00:03, 16.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 89%|████▍| 453M/508M [00:27<00:03, 16.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 89%|████▍| 454M/508M [00:27<00:03, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 90%|████▌| 458M/508M [00:27<00:03, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 91%|████▌| 461M/508M [00:28<00:02, 16.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 92%|████▌| 465M/508M [00:28<00:02, 17.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 92%|████▌| 468M/508M [00:28<00:02, 16.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 93%|████▋| 472M/508M [00:28<00:02, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 93%|████▋| 475M/508M [00:28<00:02, 15.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 94%|████▋| 477M/508M [00:29<00:01, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 94%|████▋| 478M/508M [00:29<00:01, 16.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 95%|████▋| 482M/508M [00:29<00:01, 16.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 95%|████▊| 483M/508M [00:29<00:01, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|████▊| 485M/508M [00:29<00:01, 16.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|████▊| 489M/508M [00:29<00:01, 17.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 492M/508M [00:30<00:00, 16.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 494M/508M [00:30<00:00, 17.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 497M/508M [00:30<00:00, 16.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 499M/508M [00:30<00:00, 17.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 503M/508M [00:30<00:00, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 506M/508M [00:30<00:00, 16.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 508M/508M [00:30<00:00, 16.9M Bytes/s]
Total: 69%|█████████████████▉ | 27.3G/39.4G [32:14<14:22, 14.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/497M [00:00<?, ? Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 1%| | 5.78M/497M [00:09<07:40, 1.07M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 1%| | 6.00M/497M [00:10<08:17, 987k Bytes/s]
Get sub-05/s .. _bold.nii.gz: 1%| | 6.20M/497M [00:10<07:29, 1.09M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 1%| | 6.32M/497M [00:10<07:19, 1.12M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 1%| | 6.44M/497M [00:10<07:21, 1.11M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 1%| | 6.65M/497M [00:10<06:34, 1.24M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 1%| | 6.93M/497M [00:10<06:26, 1.27M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 1%| | 7.15M/497M [00:10<05:54, 1.38M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 1%| | 7.45M/497M [00:11<05:51, 1.39M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 7.71M/497M [00:11<05:19, 1.53M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 8.04M/497M [00:11<05:16, 1.54M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 8.32M/497M [00:11<04:50, 1.68M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 8.49M/497M [00:11<04:49, 1.68M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 8.69M/497M [00:11<04:46, 1.70M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 9.00M/497M [00:12<04:18, 1.89M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 9.19M/497M [00:12<04:17, 1.89M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 9.40M/497M [00:12<04:16, 1.90M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 9.75M/497M [00:12<03:50, 2.12M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 9.97M/497M [00:12<03:48, 2.13M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 10.6M/497M [00:12<03:32, 2.29M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 10.8M/497M [00:12<03:31, 2.29M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 11.1M/497M [00:12<03:31, 2.30M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 11.5M/497M [00:13<03:10, 2.55M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 11.7M/497M [00:13<03:09, 2.56M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 2%| | 12.0M/497M [00:13<03:12, 2.51M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 3%| | 12.5M/497M [00:13<02:51, 2.83M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 3%| | 12.8M/497M [00:13<02:50, 2.83M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 3%| | 13.6M/497M [00:13<02:37, 3.06M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 3%| | 13.9M/497M [00:13<02:37, 3.07M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 3%| | 14.7M/497M [00:14<02:26, 3.29M Bytes/s]
Total: 69%|█████████████████▉ | 27.3G/39.4G [32:30<14:29, 14.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 3%|▏ | 16.1M/497M [00:14<02:14, 3.57M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 3%|▏ | 16.4M/497M [00:14<02:12, 3.63M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 3%|▏ | 16.8M/497M [00:14<02:16, 3.53M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 4%|▏ | 17.5M/497M [00:14<02:00, 3.99M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 4%|▏ | 17.9M/497M [00:14<01:58, 4.05M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 4%|▏ | 19.0M/497M [00:15<01:46, 4.48M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 4%|▏ | 19.9M/497M [00:15<01:49, 4.37M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 4%|▏ | 20.4M/497M [00:15<01:45, 4.51M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 4%|▏ | 21.6M/497M [00:15<01:35, 4.97M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 5%|▏ | 22.6M/497M [00:15<01:37, 4.88M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 5%|▏ | 23.2M/497M [00:15<01:34, 5.03M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 5%|▏ | 24.4M/497M [00:16<01:26, 5.49M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 5%|▏ | 25.6M/497M [00:16<01:25, 5.49M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 5%|▏ | 26.3M/497M [00:16<01:22, 5.70M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 6%|▏ | 27.6M/497M [00:16<01:17, 6.05M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 6%|▏ | 29.0M/497M [00:16<01:15, 6.20M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 6%|▏ | 29.8M/497M [00:16<01:12, 6.45M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 6%|▎ | 31.3M/497M [00:17<01:07, 6.86M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 7%|▎ | 32.9M/497M [00:17<01:07, 6.91M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 7%|▎ | 33.6M/497M [00:17<01:07, 6.85M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 7%|▎ | 34.5M/497M [00:17<01:03, 7.26M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 7%|▎ | 35.5M/497M [00:17<00:58, 7.88M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 7%|▎ | 37.1M/497M [00:17<00:58, 7.89M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 8%|▎ | 39.0M/497M [00:18<00:56, 8.03M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 8%|▎ | 40.3M/497M [00:18<00:51, 8.86M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 8%|▎ | 42.1M/497M [00:18<00:51, 8.81M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 9%|▎ | 44.0M/497M [00:18<00:52, 8.58M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 9%|▎ | 45.4M/497M [00:18<00:47, 9.54M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 10%|▍ | 47.6M/497M [00:18<00:45, 9.86M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 10%|▍ | 49.5M/497M [00:19<00:46, 9.64M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 10%|▍ | 51.1M/497M [00:19<00:41, 10.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 11%|▍ | 53.4M/497M [00:19<00:39, 11.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 11%|▍ | 55.6M/497M [00:19<00:41, 10.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 12%|▍ | 57.4M/497M [00:19<00:36, 11.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 12%|▍ | 60.0M/497M [00:20<00:35, 12.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 13%|▌ | 62.3M/497M [00:20<00:36, 12.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 13%|▌ | 63.9M/497M [00:20<00:33, 12.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 13%|▌ | 66.9M/497M [00:20<00:32, 13.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 14%|▌ | 69.7M/497M [00:20<00:32, 13.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 14%|▌ | 71.3M/497M [00:20<00:30, 13.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 15%|▌ | 74.5M/497M [00:21<00:29, 14.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 16%|▋ | 77.7M/497M [00:21<00:28, 14.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 16%|▋ | 80.5M/497M [00:21<00:29, 14.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 17%|▋ | 82.7M/497M [00:21<00:26, 15.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 17%|▋ | 86.1M/497M [00:21<00:25, 15.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 18%|▋ | 89.1M/497M [00:21<00:26, 15.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 18%|▋ | 91.4M/497M [00:22<00:24, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 19%|▊ | 94.8M/497M [00:22<00:23, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 20%|▊ | 98.0M/497M [00:22<00:25, 15.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 20%|█ | 100M/497M [00:22<00:24, 16.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 21%|█ | 103M/497M [00:22<00:23, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 21%|█ | 107M/497M [00:23<00:23, 16.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 22%|█ | 108M/497M [00:23<00:23, 16.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 22%|█ | 110M/497M [00:23<00:22, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 23%|█▏ | 114M/497M [00:23<00:22, 17.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 24%|█▏ | 117M/497M [00:23<00:23, 16.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 24%|█▏ | 119M/497M [00:23<00:22, 16.7M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 96%|████▊| 475M/497M [00:46<00:01, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 96%|████▊| 478M/497M [00:46<00:01, 16.6M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 98%|████▉| 486M/497M [00:46<00:00, 16.4M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 100%|████▉| 495M/497M [00:47<00:00, 16.0M Bytes/s]
Total: 70%|██████████████████▎ | 27.8G/39.4G [33:04<13:53, 14.0M Bytes/s]
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Total: 70%|██████████████████▎ | 27.8G/39.4G [33:20<14:00, 13.9M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 96%|████▊| 477M/497M [01:25<00:01, 11.9M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 97%|████▊| 484M/497M [01:25<00:01, 12.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|████▉| 487M/497M [01:26<00:00, 13.6M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 100%|████▉| 497M/497M [01:26<00:00, 14.8M Bytes/s]
Total: 72%|██████████████████▋ | 28.3G/39.4G [34:32<13:38, 13.6M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 31%|█▌ | 162M/516M [00:16<00:32, 10.9M Bytes/s]
Total: 72%|██████████████████▋ | 28.3G/39.4G [34:50<13:45, 13.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 32%|█▌ | 165M/516M [00:17<00:32, 10.8M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 92%|████▌| 474M/516M [00:38<00:02, 14.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 93%|████▋| 482M/516M [00:38<00:02, 15.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 94%|████▋| 485M/516M [00:39<00:02, 14.5M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 96%|████▊| 493M/516M [00:39<00:01, 14.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|████▊| 494M/516M [00:39<00:01, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|████▊| 498M/516M [00:39<00:01, 15.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 500M/516M [00:40<00:01, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 503M/516M [00:40<00:00, 14.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 505M/516M [00:40<00:00, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 508M/516M [00:40<00:00, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 511M/516M [00:40<00:00, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 100%|████▉| 514M/516M [00:41<00:00, 14.6M Bytes/s]
Total: 73%|██████████████████▉ | 28.8G/39.4G [35:15<13:02, 13.6M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 29%|█▍ | 145M/507M [00:10<00:23, 15.4M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 30%|█▍ | 150M/507M [00:10<00:23, 15.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 30%|█▌ | 153M/507M [00:11<00:22, 15.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 31%|█▌ | 156M/507M [00:11<00:23, 14.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 32%|█▌ | 160M/507M [00:11<00:27, 12.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 32%|█▌ | 161M/507M [00:11<00:32, 10.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 32%|█▌ | 164M/507M [00:12<00:32, 10.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 33%|█▋ | 165M/507M [00:12<00:37, 8.99M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 33%|█▋ | 167M/507M [00:12<00:38, 8.74M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 33%|█▋ | 168M/507M [00:12<00:39, 8.56M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 33%|█▋ | 170M/507M [00:13<00:39, 8.43M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 34%|█▋ | 171M/507M [00:13<00:35, 9.37M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 34%|█▋ | 172M/507M [00:13<00:41, 8.05M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 34%|█▋ | 174M/507M [00:13<00:36, 9.13M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 35%|█▋ | 175M/507M [00:13<00:41, 7.91M Bytes/s]
Total: 73%|██████████████████▉ | 28.8G/39.4G [35:30<13:08, 13.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 35%|█▊ | 178M/507M [00:14<00:40, 8.19M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 37%|█▊ | 189M/507M [00:15<00:36, 8.75M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 97%|████▊| 492M/507M [00:46<00:01, 9.24M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 493M/507M [00:47<00:01, 10.1M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 98%|████▉| 498M/507M [00:47<00:00, 10.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 500M/507M [00:47<00:00, 9.56M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 100%|████▉| 506M/507M [00:48<00:00, 9.95M Bytes/s]
Total: 74%|███████████████████▎ | 29.3G/39.4G [36:05<12:30, 13.5M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 23%|█▏ | 118M/514M [00:12<00:38, 10.3M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 26%|█▎ | 132M/514M [00:13<00:34, 11.2M Bytes/s]
Total: 74%|███████████████████▎ | 29.3G/39.4G [36:20<12:35, 13.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|█▎ | 136M/514M [00:13<00:37, 9.99M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 95%|████▋| 488M/514M [00:37<00:01, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|████▊| 491M/514M [00:38<00:01, 13.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|████▊| 494M/514M [00:38<00:01, 15.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 497M/514M [00:38<00:01, 13.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 499M/514M [00:38<00:01, 15.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 501M/514M [00:38<00:00, 13.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 504M/514M [00:38<00:00, 15.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 506M/514M [00:39<00:00, 13.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 509M/514M [00:39<00:00, 13.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 511M/514M [00:39<00:00, 15.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 100%|████▉| 514M/514M [00:39<00:00, 13.2M Bytes/s]
Total: 76%|███████████████████▋ | 29.8G/39.4G [36:47<11:53, 13.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/498M [00:00<?, ? Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 1%| | 2.59M/498M [00:01<02:10, 3.80M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 2%| | 8.11M/498M [00:01<01:02, 7.88M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 13%|▌ | 66.3M/498M [00:07<00:42, 10.1M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 16%|▋ | 80.7M/498M [00:08<00:39, 10.4M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 17%|▋ | 84.3M/498M [00:09<00:39, 10.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 17%|▋ | 86.1M/498M [00:09<00:38, 10.6M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 19%|▊ | 95.3M/498M [00:10<00:37, 10.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 20%|▊ | 97.1M/498M [00:10<00:37, 10.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 20%|▊ | 99.0M/498M [00:10<00:37, 10.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 20%|█ | 101M/498M [00:10<00:33, 11.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 21%|█ | 103M/498M [00:10<00:37, 10.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 21%|█ | 104M/498M [00:10<00:32, 11.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 21%|█ | 106M/498M [00:11<00:38, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 22%|█ | 108M/498M [00:11<00:33, 11.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 22%|█ | 110M/498M [00:11<00:38, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 22%|█ | 112M/498M [00:11<00:37, 10.3M Bytes/s]
Total: 76%|███████████████████▋ | 29.8G/39.4G [37:00<11:57, 13.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 23%|█▏ | 116M/498M [00:12<00:36, 10.6M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 90%|████▌| 449M/498M [00:35<00:02, 17.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 91%|████▌| 453M/498M [00:36<00:02, 17.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 92%|████▌| 456M/498M [00:36<00:02, 16.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 92%|████▌| 458M/498M [00:36<00:02, 17.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 93%|████▋| 461M/498M [00:36<00:02, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 93%|████▋| 464M/498M [00:36<00:02, 16.3M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 94%|████▋| 470M/498M [00:37<00:01, 16.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 95%|████▊| 473M/498M [00:37<00:01, 16.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 95%|████▊| 475M/498M [00:37<00:01, 16.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 96%|████▊| 478M/498M [00:37<00:01, 16.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 96%|████▊| 480M/498M [00:37<00:01, 16.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|████▊| 484M/498M [00:37<00:00, 16.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|████▉| 486M/498M [00:38<00:00, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|████▉| 489M/498M [00:38<00:00, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 492M/498M [00:38<00:00, 16.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 494M/498M [00:38<00:00, 16.1M Bytes/s]
Total: 77%|███████████████████▉ | 30.3G/39.4G [37:28<11:17, 13.5M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 14%|▌ | 71.7M/497M [00:04<00:26, 16.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 15%|▌ | 74.8M/497M [00:04<00:26, 15.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 16%|▋ | 78.1M/497M [00:05<00:26, 15.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 16%|▋ | 80.0M/497M [00:05<00:25, 16.3M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 20%|█ | 101M/497M [00:06<00:23, 16.6M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 24%|█▏ | 117M/497M [00:07<00:23, 16.1M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 25%|█▏ | 122M/497M [00:07<00:22, 16.7M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 27%|█▎ | 132M/497M [00:08<00:22, 16.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 27%|█▎ | 134M/497M [00:08<00:22, 16.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 28%|█▍ | 137M/497M [00:08<00:22, 16.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 28%|█▍ | 139M/497M [00:08<00:21, 16.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 28%|█▍ | 141M/497M [00:08<00:21, 16.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 29%|█▍ | 142M/497M [00:08<00:20, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 29%|█▍ | 146M/497M [00:09<00:20, 17.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 30%|█▍ | 149M/497M [00:09<00:21, 16.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 30%|█▌ | 151M/497M [00:09<00:20, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 31%|█▌ | 154M/497M [00:09<00:20, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 32%|█▌ | 157M/497M [00:09<00:20, 16.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 32%|█▌ | 159M/497M [00:09<00:19, 17.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 33%|█▋ | 163M/497M [00:10<00:19, 17.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 33%|█▋ | 166M/497M [00:10<00:20, 16.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 34%|█▋ | 169M/497M [00:10<00:19, 16.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 34%|█▋ | 171M/497M [00:10<00:19, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 35%|█▊ | 175M/497M [00:10<00:19, 16.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 36%|█▊ | 178M/497M [00:11<00:19, 16.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 36%|█▊ | 179M/497M [00:11<00:19, 16.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 37%|█▊ | 183M/497M [00:11<00:19, 16.5M Bytes/s]
Total: 77%|███████████████████▉ | 30.3G/39.4G [37:40<11:21, 13.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 38%|█▉ | 188M/497M [00:11<00:18, 17.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 39%|█▉ | 191M/497M [00:11<00:18, 16.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 39%|█▉ | 193M/497M [00:11<00:18, 16.7M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 42%|██ | 211M/497M [00:12<00:16, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 43%|██▏ | 214M/497M [00:13<00:17, 16.3M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 100%|████▉| 495M/497M [00:30<00:00, 16.8M Bytes/s]
Total: 78%|████████████████████▎ | 30.8G/39.4G [37:59<10:39, 13.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 17%|▋ | 82.8M/490M [00:05<00:25, 16.2M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 21%|█ | 101M/490M [00:06<00:24, 15.7M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 23%|█▏ | 115M/490M [00:07<00:23, 15.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 24%|█▏ | 117M/490M [00:07<00:22, 16.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 26%|█▎ | 126M/490M [00:08<00:21, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 26%|█▎ | 129M/490M [00:08<00:21, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 27%|█▎ | 132M/490M [00:08<00:22, 16.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 27%|█▎ | 134M/490M [00:08<00:21, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|█▍ | 138M/490M [00:08<00:21, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 29%|█▍ | 141M/490M [00:09<00:21, 16.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 29%|█▍ | 142M/490M [00:09<00:21, 16.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 29%|█▍ | 144M/490M [00:09<00:20, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 30%|█▍ | 147M/490M [00:09<00:21, 15.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 30%|█▌ | 149M/490M [00:09<00:20, 16.5M Bytes/s]
Total: 78%|████████████████████▎ | 30.8G/39.4G [38:10<10:42, 13.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 32%|█▌ | 155M/490M [00:10<00:21, 15.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 32%|█▌ | 158M/490M [00:10<00:19, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 33%|█▋ | 161M/490M [00:10<00:20, 16.2M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 35%|█▊ | 173M/490M [00:11<00:19, 16.2M Bytes/s]
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Total: 79%|████████████████████▋ | 31.3G/39.4G [38:31<10:01, 13.5M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 52%|██▌ | 249M/480M [00:18<00:17, 13.2M Bytes/s]
Total: 79%|████████████████████▋ | 31.3G/39.4G [38:50<10:06, 13.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 53%|██▋ | 254M/480M [00:18<00:17, 13.1M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 93%|████▋| 448M/480M [00:32<00:02, 13.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 94%|████▋| 450M/480M [00:32<00:02, 14.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 94%|████▋| 452M/480M [00:33<00:02, 12.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 95%|████▋| 454M/480M [00:33<00:02, 12.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 95%|████▊| 457M/480M [00:33<00:01, 12.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 96%|████▊| 459M/480M [00:33<00:01, 13.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 96%|████▊| 461M/480M [00:33<00:01, 13.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 97%|████▊| 464M/480M [00:34<00:01, 12.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 97%|████▊| 466M/480M [00:34<00:01, 13.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 97%|████▊| 468M/480M [00:34<00:00, 13.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 471M/480M [00:34<00:00, 13.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 473M/480M [00:34<00:00, 13.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 475M/480M [00:34<00:00, 11.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 477M/480M [00:35<00:00, 12.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 100%|████▉| 479M/480M [00:35<00:00, 14.4M Bytes/s]
Total: 81%|████████████████████▉ | 31.8G/39.4G [39:08<09:26, 13.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/497M [00:00<?, ? Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 28%|█▍ | 138M/497M [00:10<00:23, 15.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 28%|█▍ | 141M/497M [00:10<00:22, 15.9M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 30%|█▍ | 148M/497M [00:10<00:22, 15.3M Bytes/s]
Total: 81%|████████████████████▉ | 31.8G/39.4G [39:20<09:29, 13.5M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 78%|███▉ | 388M/497M [00:25<00:06, 16.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 79%|███▉ | 391M/497M [00:26<00:06, 16.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 79%|███▉ | 394M/497M [00:26<00:06, 15.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 80%|███▉ | 396M/497M [00:26<00:06, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 80%|████ | 399M/497M [00:26<00:05, 16.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 81%|████ | 403M/497M [00:26<00:05, 16.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 84%|████▏| 419M/497M [00:27<00:05, 15.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 85%|████▏| 421M/497M [00:27<00:04, 16.5M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 91%|████▌| 452M/497M [00:29<00:02, 15.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 91%|████▌| 454M/497M [00:30<00:02, 16.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 92%|████▌| 457M/497M [00:30<00:02, 15.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|████▋| 460M/497M [00:30<00:02, 15.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|████▋| 462M/497M [00:30<00:02, 15.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|████▋| 464M/497M [00:30<00:02, 15.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 94%|████▋| 466M/497M [00:30<00:01, 15.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 94%|████▋| 469M/497M [00:31<00:01, 15.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 95%|████▋| 470M/497M [00:31<00:01, 16.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 95%|████▊| 474M/497M [00:31<00:01, 15.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|████▊| 475M/497M [00:31<00:01, 16.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|████▊| 479M/497M [00:31<00:01, 16.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|████▊| 482M/497M [00:31<00:00, 16.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 486M/497M [00:32<00:00, 16.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 489M/497M [00:32<00:00, 15.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 491M/497M [00:32<00:00, 16.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 494M/497M [00:32<00:00, 16.4M Bytes/s]
Total: 82%|█████████████████████▎ | 32.3G/39.4G [39:42<08:49, 13.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/492M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 1.97M/492M [00:00<00:45, 10.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 1%| | 4.55M/492M [00:00<00:56, 8.58M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 1%| | 6.36M/492M [00:00<00:52, 9.23M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 2%| | 8.52M/492M [00:00<00:46, 10.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 2%| | 10.3M/492M [00:01<00:46, 10.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%| | 12.4M/492M [00:01<00:44, 10.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 3%|▏ | 16.2M/492M [00:01<00:43, 11.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 4%|▏ | 18.3M/492M [00:01<00:41, 11.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 5%|▏ | 22.4M/492M [00:02<00:40, 11.7M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 190M/492M [00:16<00:25, 11.6M Bytes/s]
Total: 82%|█████████████████████▎ | 32.3G/39.4G [40:00<08:53, 13.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▉ | 195M/492M [00:17<00:25, 11.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 86%|████▎| 425M/492M [00:33<00:04, 15.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 88%|████▍| 432M/492M [00:34<00:03, 15.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 89%|████▍| 440M/492M [00:34<00:03, 15.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 90%|████▍| 442M/492M [00:34<00:03, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 90%|████▌| 445M/492M [00:34<00:02, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 91%|████▌| 448M/492M [00:35<00:02, 15.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 91%|████▌| 450M/492M [00:35<00:02, 16.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 92%|████▌| 453M/492M [00:35<00:02, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 93%|████▋| 456M/492M [00:35<00:02, 15.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 93%|████▋| 458M/492M [00:35<00:02, 16.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 94%|████▋| 462M/492M [00:35<00:01, 15.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 95%|████▋| 467M/492M [00:36<00:01, 15.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 96%|████▊| 470M/492M [00:36<00:01, 15.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 96%|████▊| 472M/492M [00:36<00:01, 15.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 96%|████▊| 474M/492M [00:36<00:01, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|████▊| 478M/492M [00:37<00:00, 15.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 98%|████▉| 480M/492M [00:37<00:00, 16.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 98%|████▉| 483M/492M [00:37<00:00, 15.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|████▉| 486M/492M [00:37<00:00, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|████▉| 489M/492M [00:37<00:00, 16.0M Bytes/s]
Total: 83%|█████████████████████▌ | 32.8G/39.4G [40:22<08:13, 13.5M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 35%|█▋ | 175M/501M [00:10<00:20, 16.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 36%|█▊ | 178M/501M [00:11<00:20, 16.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 36%|█▊ | 182M/501M [00:11<00:20, 15.9M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 46%|██▎ | 230M/501M [00:14<00:16, 16.9M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 47%|██▎ | 236M/501M [00:14<00:16, 16.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 47%|██▎ | 238M/501M [00:14<00:16, 16.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 48%|██▍ | 240M/501M [00:14<00:15, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 49%|██▍ | 243M/501M [00:15<00:15, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 49%|██▍ | 247M/501M [00:15<00:15, 16.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 50%|██▍ | 250M/501M [00:15<00:14, 16.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 51%|██▌ | 253M/501M [00:15<00:15, 16.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 51%|██▌ | 255M/501M [00:15<00:14, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 52%|██▌ | 259M/501M [00:16<00:14, 16.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 52%|██▌ | 262M/501M [00:16<00:14, 16.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 53%|██▋ | 265M/501M [00:16<00:14, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 54%|██▋ | 269M/501M [00:16<00:14, 16.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 54%|██▋ | 271M/501M [00:16<00:13, 16.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 55%|██▋ | 274M/501M [00:16<00:13, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 55%|██▊ | 276M/501M [00:17<00:13, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 55%|██▊ | 278M/501M [00:17<00:13, 17.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 56%|██▊ | 281M/501M [00:17<00:13, 16.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 56%|██▊ | 283M/501M [00:17<00:13, 16.7M Bytes/s]
Total: 83%|█████████████████████▌ | 32.8G/39.4G [40:40<08:17, 13.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 57%|██▊ | 288M/501M [00:17<00:12, 17.2M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 94%|████▋| 474M/501M [00:28<00:01, 16.9M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 96%|████▊| 481M/501M [00:29<00:01, 16.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|████▊| 484M/501M [00:29<00:01, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 486M/501M [00:29<00:00, 17.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 489M/501M [00:29<00:00, 16.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 492M/501M [00:30<00:00, 16.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 494M/501M [00:30<00:00, 15.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 498M/501M [00:30<00:00, 16.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 499M/501M [00:30<00:00, 16.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 501M/501M [00:30<00:00, 17.0M Bytes/s]
Total: 84%|█████████████████████▉ | 33.3G/39.4G [40:54<07:35, 13.6M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 26%|█▎ | 136M/513M [00:11<00:30, 12.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 27%|█▎ | 138M/513M [00:11<00:30, 12.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 27%|█▎ | 140M/513M [00:11<00:31, 12.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|█▍ | 142M/513M [00:12<00:30, 12.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|█▍ | 144M/513M [00:12<00:30, 12.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|█▍ | 146M/513M [00:12<00:30, 12.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 29%|█▍ | 148M/513M [00:12<00:30, 12.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 29%|█▍ | 150M/513M [00:12<00:30, 12.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 30%|█▍ | 152M/513M [00:12<00:30, 12.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 30%|█▌ | 154M/513M [00:13<00:30, 11.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 30%|█▌ | 156M/513M [00:13<00:30, 11.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 31%|█▌ | 159M/513M [00:13<00:29, 12.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 31%|█▌ | 161M/513M [00:13<00:29, 11.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 163M/513M [00:13<00:29, 12.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 165M/513M [00:14<00:28, 12.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 167M/513M [00:14<00:28, 12.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 169M/513M [00:14<00:28, 11.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 171M/513M [00:14<00:28, 11.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 173M/513M [00:14<00:28, 12.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 175M/513M [00:14<00:29, 11.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 177M/513M [00:15<00:28, 11.7M Bytes/s]
Total: 84%|█████████████████████▉ | 33.3G/39.4G [41:10<07:38, 13.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█▊ | 181M/513M [00:15<00:29, 11.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 36%|█▊ | 183M/513M [00:15<00:28, 11.4M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 37%|█▊ | 189M/513M [00:16<00:27, 11.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 37%|█▊ | 191M/513M [00:16<00:28, 11.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▉ | 193M/513M [00:16<00:27, 11.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▉ | 195M/513M [00:16<00:27, 11.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▉ | 197M/513M [00:16<00:26, 11.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▉ | 199M/513M [00:16<00:26, 11.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▉ | 201M/513M [00:17<00:26, 11.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|█▉ | 203M/513M [00:17<00:25, 11.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|█▉ | 205M/513M [00:17<00:26, 11.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|██ | 207M/513M [00:17<00:25, 11.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 41%|██ | 209M/513M [00:17<00:25, 11.8M Bytes/s]
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Total: 86%|██████████████████████▎ | 33.8G/39.4G [41:35<06:58, 13.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 2%| | 11.0M/494M [00:12<03:40, 2.19M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 2%| | 11.3M/494M [00:12<03:21, 2.40M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 2%| | 11.8M/494M [00:12<03:58, 2.02M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 2%| | 12.2M/494M [00:13<03:37, 2.22M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%| | 12.6M/494M [00:13<03:10, 2.53M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%| | 13.1M/494M [00:13<03:21, 2.39M Bytes/s]
Total: 86%|██████████████████████▎ | 33.8G/39.4G [41:50<07:00, 13.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%| | 14.1M/494M [00:13<03:04, 2.60M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 91%|████▌| 452M/494M [00:44<00:02, 15.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 92%|████▌| 454M/494M [00:44<00:02, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 93%|████▋| 458M/494M [00:44<00:02, 15.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 94%|████▋| 463M/494M [00:44<00:01, 17.1M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 95%|████▊| 472M/494M [00:45<00:01, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 96%|████▊| 475M/494M [00:45<00:01, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|████▊| 477M/494M [00:45<00:01, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|████▊| 479M/494M [00:45<00:00, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|████▊| 480M/494M [00:45<00:00, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 98%|████▉| 483M/494M [00:46<00:00, 16.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|████▉| 487M/494M [00:46<00:00, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|████▉| 490M/494M [00:46<00:00, 15.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 100%|████▉| 493M/494M [00:46<00:00, 16.1M Bytes/s]
Total: 87%|██████████████████████▌ | 34.3G/39.4G [42:24<06:23, 13.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/514M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 3.08M/514M [00:00<00:57, 8.89M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 5.15M/514M [00:00<00:49, 10.2M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 21%|█ | 106M/514M [00:08<00:26, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 21%|█ | 109M/514M [00:08<00:29, 13.6M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 22%|█ | 114M/514M [00:09<00:29, 13.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 23%|█▏ | 119M/514M [00:09<00:28, 13.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 25%|█▎ | 129M/514M [00:10<00:27, 14.1M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 26%|█▎ | 134M/514M [00:10<00:27, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|█▎ | 136M/514M [00:10<00:24, 15.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|█▎ | 139M/514M [00:10<00:26, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|█▎ | 141M/514M [00:11<00:24, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 28%|█▍ | 144M/514M [00:11<00:26, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 28%|█▍ | 146M/514M [00:11<00:24, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 29%|█▍ | 149M/514M [00:11<00:23, 15.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 30%|█▍ | 152M/514M [00:11<00:25, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 30%|█▍ | 154M/514M [00:11<00:23, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 31%|█▌ | 157M/514M [00:12<00:25, 14.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 31%|█▌ | 159M/514M [00:12<00:23, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 32%|█▌ | 162M/514M [00:12<00:22, 15.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 32%|█▌ | 165M/514M [00:12<00:24, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 32%|█▌ | 167M/514M [00:12<00:23, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 33%|█▋ | 170M/514M [00:12<00:22, 15.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 34%|█▋ | 172M/514M [00:13<00:24, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 34%|█▋ | 174M/514M [00:13<00:22, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 34%|█▋ | 177M/514M [00:13<00:22, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█▊ | 180M/514M [00:13<00:23, 14.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█▊ | 182M/514M [00:13<00:22, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 36%|█▊ | 185M/514M [00:13<00:21, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 37%|█▊ | 188M/514M [00:14<00:22, 14.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 37%|█▊ | 190M/514M [00:14<00:21, 14.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 37%|█▊ | 193M/514M [00:14<00:21, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 38%|█▉ | 196M/514M [00:14<00:22, 14.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 38%|█▉ | 197M/514M [00:14<00:21, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 39%|█▉ | 200M/514M [00:15<00:20, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 40%|█▉ | 203M/514M [00:15<00:21, 14.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 40%|█▉ | 205M/514M [00:15<00:20, 14.9M Bytes/s]
Total: 87%|██████████████████████▌ | 34.3G/39.4G [42:40<06:26, 13.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 41%|██ | 211M/514M [00:15<00:20, 14.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 41%|██ | 213M/514M [00:15<00:20, 14.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 42%|██ | 216M/514M [00:16<00:19, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 43%|██▏ | 219M/514M [00:16<00:20, 14.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 43%|██▏ | 221M/514M [00:16<00:20, 14.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 43%|██▏ | 223M/514M [00:16<00:18, 15.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 44%|██▏ | 226M/514M [00:16<00:19, 14.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 45%|██▏ | 229M/514M [00:16<00:19, 14.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 45%|██▏ | 231M/514M [00:17<00:18, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 45%|██▎ | 234M/514M [00:17<00:18, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 46%|██▎ | 237M/514M [00:17<00:19, 14.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 46%|██▎ | 238M/514M [00:17<00:18, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 47%|██▎ | 242M/514M [00:17<00:18, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 48%|██▍ | 245M/514M [00:18<00:18, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 48%|██▍ | 248M/514M [00:18<00:18, 14.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 48%|██▍ | 249M/514M [00:18<00:17, 15.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 49%|██▍ | 252M/514M [00:18<00:17, 14.8M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 50%|██▍ | 257M/514M [00:18<00:17, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 51%|██▌ | 260M/514M [00:19<00:17, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 51%|██▌ | 262M/514M [00:19<00:16, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 51%|██▌ | 264M/514M [00:19<00:16, 15.3M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 56%|██▊ | 288M/514M [00:20<00:14, 15.6M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 60%|███ | 310M/514M [00:22<00:12, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 61%|███ | 313M/514M [00:22<00:12, 16.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 61%|███ | 315M/514M [00:22<00:12, 16.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 62%|███ | 318M/514M [00:22<00:11, 16.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 63%|███▏ | 322M/514M [00:22<00:11, 16.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 63%|███▏ | 325M/514M [00:23<00:11, 16.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 95%|████▊| 490M/514M [00:33<00:01, 16.7M Bytes/s]
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Total: 88%|██████████████████████▉ | 34.8G/39.4G [43:00<05:45, 13.5M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 52%|██▌ | 268M/515M [00:18<00:15, 15.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 53%|██▋ | 271M/515M [00:18<00:17, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 53%|██▋ | 274M/515M [00:18<00:14, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 54%|██▋ | 276M/515M [00:19<00:16, 14.2M Bytes/s]
Total: 88%|██████████████████████▉ | 34.8G/39.4G [43:20<05:47, 13.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 55%|██▋ | 281M/515M [00:19<00:16, 14.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 55%|██▊ | 284M/515M [00:19<00:14, 16.4M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 57%|██▊ | 292M/515M [00:20<00:16, 13.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 57%|██▊ | 294M/515M [00:20<00:14, 15.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 58%|██▉ | 297M/515M [00:20<00:14, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 58%|██▉ | 299M/515M [00:20<00:13, 15.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 59%|██▉ | 303M/515M [00:20<00:13, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 59%|██▉ | 306M/515M [00:21<00:13, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 60%|██▉ | 308M/515M [00:21<00:12, 16.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 60%|███ | 311M/515M [00:21<00:12, 16.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 61%|███ | 315M/515M [00:21<00:12, 16.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 62%|███ | 318M/515M [00:21<00:12, 15.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 62%|███ | 319M/515M [00:21<00:12, 15.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 63%|███▏ | 323M/515M [00:22<00:11, 16.5M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 65%|███▎ | 335M/515M [00:22<00:11, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 65%|███▎ | 337M/515M [00:22<00:10, 16.8M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 67%|███▎ | 344M/515M [00:23<00:10, 16.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 67%|███▎ | 347M/515M [00:23<00:09, 16.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 68%|███▍ | 351M/515M [00:23<00:09, 16.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 69%|███▍ | 354M/515M [00:23<00:10, 16.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 69%|███▍ | 356M/515M [00:24<00:09, 17.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 70%|███▍ | 359M/515M [00:24<00:09, 16.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 70%|███▌ | 363M/515M [00:24<00:09, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 71%|███▌ | 365M/515M [00:24<00:08, 17.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 71%|███▌ | 368M/515M [00:24<00:08, 16.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 72%|███▌ | 370M/515M [00:24<00:08, 16.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 72%|███▌ | 374M/515M [00:25<00:08, 17.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 73%|███▋ | 377M/515M [00:25<00:08, 16.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 73%|███▋ | 379M/515M [00:25<00:08, 16.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 74%|███▋ | 382M/515M [00:25<00:07, 16.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 75%|███▋ | 385M/515M [00:25<00:08, 14.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 75%|███▊ | 387M/515M [00:25<00:07, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 76%|███▊ | 390M/515M [00:26<00:07, 15.8M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 78%|███▉ | 401M/515M [00:26<00:06, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 78%|███▉ | 404M/515M [00:26<00:06, 16.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 79%|███▉ | 408M/515M [00:27<00:06, 16.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 79%|███▉ | 409M/515M [00:27<00:06, 16.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 80%|████ | 413M/515M [00:27<00:06, 16.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 81%|████ | 416M/515M [00:27<00:06, 15.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 81%|████ | 418M/515M [00:27<00:06, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 82%|████ | 421M/515M [00:28<00:05, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 82%|████ | 424M/515M [00:28<00:05, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 83%|████▏| 427M/515M [00:28<00:05, 15.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 83%|████▏| 430M/515M [00:28<00:05, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 84%|████▏| 433M/515M [00:28<00:04, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 85%|████▏| 436M/515M [00:28<00:04, 16.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 85%|████▎| 440M/515M [00:29<00:04, 16.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 86%|████▎| 443M/515M [00:29<00:04, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 86%|████▎| 445M/515M [00:29<00:04, 16.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 87%|████▎| 447M/515M [00:29<00:04, 16.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 87%|████▎| 448M/515M [00:29<00:04, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 88%|████▍| 452M/515M [00:29<00:03, 16.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 88%|████▍| 455M/515M [00:30<00:03, 16.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 89%|████▍| 458M/515M [00:30<00:03, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 90%|████▍| 461M/515M [00:30<00:03, 16.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 90%|████▍| 463M/515M [00:30<00:03, 16.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 90%|████▌| 465M/515M [00:30<00:03, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 91%|████▌| 467M/515M [00:30<00:02, 16.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 91%|████▌| 470M/515M [00:30<00:02, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 92%|████▌| 472M/515M [00:31<00:02, 16.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 92%|████▌| 475M/515M [00:31<00:02, 16.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 93%|████▋| 478M/515M [00:31<00:02, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 93%|████▋| 481M/515M [00:31<00:02, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 94%|████▋| 483M/515M [00:31<00:01, 16.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 94%|████▋| 486M/515M [00:32<00:01, 16.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|████▊| 490M/515M [00:32<00:01, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|████▊| 491M/515M [00:32<00:01, 16.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|████▊| 495M/515M [00:32<00:01, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|████▊| 496M/515M [00:32<00:01, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 498M/515M [00:32<00:01, 16.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 500M/515M [00:32<00:00, 17.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 503M/515M [00:33<00:00, 16.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 506M/515M [00:33<00:00, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 510M/515M [00:33<00:00, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 512M/515M [00:33<00:00, 16.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 100%|████▉| 513M/515M [00:33<00:00, 13.9M Bytes/s]
Total: 90%|███████████████████████▎ | 35.3G/39.4G [43:36<05:06, 13.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/472M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 3.20M/472M [00:00<00:29, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.38M/472M [00:00<00:39, 11.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 8.23M/472M [00:00<00:40, 11.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 10.3M/472M [00:00<00:39, 11.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 12.2M/472M [00:01<00:40, 11.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 14.2M/472M [00:01<00:40, 11.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%|▏ | 16.1M/472M [00:01<00:40, 11.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 18.1M/472M [00:01<00:39, 11.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 20.0M/472M [00:01<00:40, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 22.0M/472M [00:01<00:39, 11.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 23.9M/472M [00:02<00:40, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 25.9M/472M [00:02<00:39, 11.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 6%|▏ | 27.8M/472M [00:02<00:39, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 6%|▎ | 29.8M/472M [00:02<00:39, 11.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 7%|▎ | 31.6M/472M [00:02<00:39, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 7%|▎ | 33.5M/472M [00:02<00:39, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 8%|▎ | 35.4M/472M [00:03<00:39, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 8%|▎ | 37.3M/472M [00:03<00:39, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 8%|▎ | 39.3M/472M [00:03<00:39, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 9%|▎ | 41.2M/472M [00:03<00:38, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 9%|▎ | 43.1M/472M [00:03<00:38, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 10%|▍ | 44.9M/472M [00:03<00:39, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 10%|▍ | 46.9M/472M [00:04<00:38, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 10%|▍ | 48.8M/472M [00:04<00:38, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 11%|▍ | 50.7M/472M [00:04<00:38, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 11%|▍ | 52.7M/472M [00:04<00:37, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 12%|▍ | 54.6M/472M [00:04<00:37, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 12%|▍ | 56.6M/472M [00:05<00:37, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 12%|▍ | 58.5M/472M [00:05<00:36, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 13%|▌ | 60.4M/472M [00:05<00:37, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 13%|▌ | 62.2M/472M [00:05<00:37, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 14%|▌ | 64.2M/472M [00:05<00:37, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 14%|▌ | 66.1M/472M [00:05<00:36, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 14%|▌ | 68.0M/472M [00:06<00:36, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 15%|▌ | 70.1M/472M [00:06<00:35, 11.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 15%|▌ | 72.0M/472M [00:06<00:35, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▋ | 74.0M/472M [00:06<00:35, 11.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▋ | 76.0M/472M [00:06<00:34, 11.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▋ | 77.9M/472M [00:06<00:34, 11.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 17%|▋ | 79.8M/472M [00:07<00:35, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 17%|▋ | 81.7M/472M [00:07<00:35, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 18%|▋ | 83.6M/472M [00:07<00:35, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 18%|▋ | 85.3M/472M [00:07<00:36, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 18%|▋ | 87.3M/472M [00:07<00:35, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 19%|▊ | 89.2M/472M [00:07<00:35, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 19%|▊ | 91.0M/472M [00:08<00:35, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 20%|▊ | 93.0M/472M [00:08<00:34, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 20%|▊ | 94.9M/472M [00:08<00:34, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 20%|▊ | 96.8M/472M [00:08<00:34, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 21%|▊ | 98.6M/472M [00:08<00:34, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 21%|█ | 101M/472M [00:09<00:34, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 22%|█ | 102M/472M [00:09<00:33, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 22%|█ | 104M/472M [00:09<00:33, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 22%|█ | 106M/472M [00:09<00:33, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 23%|█▏ | 108M/472M [00:09<00:36, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 23%|█▏ | 110M/472M [00:09<00:32, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 24%|█▏ | 112M/472M [00:10<00:33, 10.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 24%|█▏ | 114M/472M [00:10<00:32, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 24%|█▏ | 115M/472M [00:10<00:33, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 25%|█▏ | 117M/472M [00:10<00:32, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 25%|█▎ | 119M/472M [00:10<00:32, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 26%|█▎ | 122M/472M [00:10<00:29, 11.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 26%|█▎ | 124M/472M [00:11<00:24, 14.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 27%|█▎ | 127M/472M [00:11<00:27, 12.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 27%|█▎ | 129M/472M [00:11<00:23, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|█▍ | 131M/472M [00:11<00:26, 12.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|█▍ | 134M/472M [00:11<00:23, 14.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 29%|█▍ | 136M/472M [00:11<00:26, 12.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 29%|█▍ | 139M/472M [00:12<00:25, 13.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 30%|█▍ | 141M/472M [00:12<00:21, 15.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 30%|█▌ | 144M/472M [00:12<00:24, 13.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 31%|█▌ | 146M/472M [00:12<00:24, 13.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 31%|█▌ | 149M/472M [00:12<00:23, 13.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 32%|█▌ | 151M/472M [00:12<00:19, 16.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 33%|█▋ | 154M/472M [00:13<00:23, 13.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 33%|█▋ | 156M/472M [00:13<00:19, 15.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 34%|█▋ | 159M/472M [00:13<00:22, 13.8M Bytes/s]
Total: 90%|███████████████████████▎ | 35.3G/39.4G [43:50<05:08, 13.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 35%|█▋ | 164M/472M [00:13<00:21, 14.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 35%|█▊ | 167M/472M [00:13<00:18, 16.5M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 65%|███▎ | 308M/472M [00:23<00:11, 14.6M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 67%|███▎ | 318M/472M [00:24<00:09, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 68%|███▍ | 321M/472M [00:24<00:10, 14.1M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 69%|███▍ | 326M/472M [00:24<00:09, 15.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 77%|███▊ | 363M/472M [00:27<00:06, 17.0M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 80%|████ | 380M/472M [00:28<00:05, 15.6M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 82%|████ | 388M/472M [00:28<00:05, 15.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 83%|████▏| 390M/472M [00:28<00:05, 16.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 84%|████▏| 396M/472M [00:29<00:04, 16.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 85%|████▏| 399M/472M [00:29<00:04, 16.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 86%|████▎| 404M/472M [00:29<00:04, 16.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 86%|████▎| 408M/472M [00:29<00:03, 16.9M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 87%|████▎| 413M/472M [00:30<00:03, 16.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 88%|████▍| 416M/472M [00:30<00:03, 16.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 89%|████▍| 419M/472M [00:30<00:03, 16.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▍| 423M/472M [00:30<00:03, 16.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▍| 425M/472M [00:30<00:02, 16.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|████▌| 428M/472M [00:31<00:02, 16.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|████▌| 432M/472M [00:31<00:02, 16.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|████▌| 435M/472M [00:31<00:02, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|████▌| 437M/472M [00:31<00:02, 16.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|████▋| 440M/472M [00:31<00:01, 16.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|████▋| 444M/472M [00:31<00:01, 16.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|████▋| 447M/472M [00:32<00:01, 16.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|████▊| 450M/472M [00:32<00:01, 16.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 454M/472M [00:32<00:01, 16.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 457M/472M [00:32<00:00, 16.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 459M/472M [00:32<00:00, 16.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 460M/472M [00:32<00:00, 16.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 464M/472M [00:33<00:00, 16.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 467M/472M [00:33<00:00, 16.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 100%|████▉| 471M/472M [00:33<00:00, 16.4M Bytes/s]
Total: 91%|███████████████████████▌ | 35.8G/39.4G [44:11<04:31, 13.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/471M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 1.84M/471M [00:00<00:46, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 4.58M/471M [00:00<00:53, 8.66M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.38M/471M [00:00<00:50, 9.27M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 8.49M/471M [00:00<00:45, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 10.4M/471M [00:01<00:44, 10.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 12.5M/471M [00:01<00:41, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 14.4M/471M [00:01<00:41, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%|▏ | 16.4M/471M [00:01<00:40, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 18.4M/471M [00:01<00:40, 11.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 20.3M/471M [00:01<00:40, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 22.1M/471M [00:02<00:40, 11.0M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 6%|▎ | 29.7M/471M [00:02<00:40, 10.9M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 8%|▎ | 37.2M/471M [00:03<00:40, 10.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 9%|▎ | 41.0M/471M [00:03<00:39, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 9%|▎ | 43.0M/471M [00:03<00:38, 11.0M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 10%|▍ | 48.6M/471M [00:04<00:39, 10.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 11%|▍ | 52.5M/471M [00:04<00:37, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 12%|▍ | 54.4M/471M [00:05<00:38, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 12%|▍ | 56.3M/471M [00:05<00:37, 11.0M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 13%|▌ | 60.2M/471M [00:05<00:37, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 13%|▌ | 61.7M/471M [00:05<00:52, 7.85M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 13%|▌ | 63.2M/471M [00:06<00:50, 8.03M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 14%|▌ | 65.2M/471M [00:06<00:45, 8.97M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 14%|▌ | 67.1M/471M [00:06<00:42, 9.48M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 15%|▌ | 69.1M/471M [00:06<00:40, 10.0M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 15%|▌ | 72.9M/471M [00:06<00:37, 10.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▋ | 74.8M/471M [00:07<00:37, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▋ | 76.7M/471M [00:07<00:36, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 17%|▋ | 78.6M/471M [00:07<00:36, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 17%|▋ | 80.5M/471M [00:07<00:36, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 18%|▋ | 82.4M/471M [00:07<00:35, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 18%|▋ | 84.2M/471M [00:07<00:35, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 18%|▋ | 86.1M/471M [00:08<00:35, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 19%|▋ | 88.0M/471M [00:08<00:35, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 19%|▊ | 89.9M/471M [00:08<00:34, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 19%|▊ | 91.7M/471M [00:08<00:35, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 20%|▊ | 93.7M/471M [00:08<00:34, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 20%|▊ | 95.5M/471M [00:09<00:34, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 21%|▊ | 97.5M/471M [00:09<00:33, 11.0M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 37%|█▊ | 175M/471M [00:16<00:25, 11.5M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 38%|█▉ | 181M/471M [00:16<00:25, 11.5M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 39%|█▉ | 185M/471M [00:17<00:24, 11.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 40%|█▉ | 187M/471M [00:17<00:24, 11.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 40%|██ | 189M/471M [00:17<00:23, 11.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 41%|██ | 193M/471M [00:17<00:24, 11.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 41%|██ | 195M/471M [00:17<00:24, 11.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 43%|██▏ | 200M/471M [00:18<00:25, 10.5M Bytes/s]
Total: 91%|███████████████████████▌ | 35.8G/39.4G [44:30<04:33, 13.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 43%|██▏ | 204M/471M [00:18<00:24, 10.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 74%|███▋ | 346M/471M [00:29<00:08, 14.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 74%|███▋ | 349M/471M [00:29<00:08, 14.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 75%|███▊ | 355M/471M [00:29<00:07, 14.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 76%|███▊ | 357M/471M [00:29<00:07, 15.1M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 80%|███▉ | 375M/471M [00:30<00:06, 15.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 80%|████ | 378M/471M [00:31<00:06, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 81%|████ | 380M/471M [00:31<00:06, 15.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 81%|████ | 383M/471M [00:31<00:05, 15.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 82%|████ | 386M/471M [00:31<00:05, 15.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 82%|████ | 388M/471M [00:31<00:05, 15.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 83%|████▏| 391M/471M [00:32<00:05, 15.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 84%|████▏| 394M/471M [00:32<00:05, 15.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 84%|████▏| 395M/471M [00:32<00:04, 15.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 85%|████▏| 398M/471M [00:32<00:04, 14.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 85%|████▏| 400M/471M [00:32<00:04, 15.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 85%|████▎| 401M/471M [00:32<00:04, 15.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 86%|████▎| 404M/471M [00:32<00:04, 15.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 86%|████▎| 406M/471M [00:33<00:04, 15.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 87%|████▎| 409M/471M [00:33<00:04, 15.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 87%|████▎| 410M/471M [00:33<00:04, 15.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 88%|████▍| 412M/471M [00:33<00:03, 15.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 88%|████▍| 415M/471M [00:33<00:03, 14.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 89%|████▍| 417M/471M [00:33<00:03, 15.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 89%|████▍| 420M/471M [00:33<00:03, 15.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▍| 423M/471M [00:34<00:03, 15.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▌| 425M/471M [00:34<00:02, 15.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|████▌| 427M/471M [00:34<00:02, 15.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|████▌| 429M/471M [00:34<00:02, 15.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|████▌| 431M/471M [00:34<00:02, 15.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|████▌| 434M/471M [00:34<00:02, 15.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|████▋| 435M/471M [00:34<00:02, 15.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|████▋| 437M/471M [00:35<00:02, 15.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|████▋| 439M/471M [00:35<00:02, 15.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|████▋| 442M/471M [00:35<00:01, 15.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|████▋| 443M/471M [00:35<00:01, 15.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|████▋| 447M/471M [00:35<00:01, 15.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 450M/471M [00:35<00:01, 15.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 453M/471M [00:36<00:01, 15.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 455M/471M [00:36<00:01, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 458M/471M [00:36<00:00, 15.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 459M/471M [00:36<00:00, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 463M/471M [00:36<00:00, 15.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 464M/471M [00:36<00:00, 15.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 468M/471M [00:36<00:00, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 100%|████▉| 471M/471M [00:37<00:00, 15.8M Bytes/s]
Total: 92%|███████████████████████▉ | 36.2G/39.4G [44:49<03:57, 13.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/239M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 1.91M/239M [00:00<00:22, 10.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 3.80M/239M [00:00<00:21, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 5.64M/239M [00:00<00:21, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%|▏ | 7.70M/239M [00:00<00:20, 11.3M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 5%|▏ | 11.6M/239M [00:01<00:20, 11.2M Bytes/s]
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Total: 92%|███████████████████████▉ | 36.2G/39.4G [45:00<03:58, 13.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 48%|██▍ | 114M/239M [00:09<00:10, 11.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 90%|████▌| 216M/239M [00:20<00:02, 9.76M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 92%|████▌| 219M/239M [00:20<00:02, 9.99M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|████▌| 221M/239M [00:20<00:01, 9.85M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|████▋| 222M/239M [00:20<00:01, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|████▋| 223M/239M [00:20<00:01, 10.2M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 95%|████▋| 226M/239M [00:21<00:01, 9.89M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|████▊| 227M/239M [00:21<00:01, 10.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 230M/239M [00:21<00:00, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 232M/239M [00:21<00:00, 10.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 233M/239M [00:21<00:00, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 234M/239M [00:21<00:00, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 235M/239M [00:21<00:00, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 237M/239M [00:22<00:00, 10.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 238M/239M [00:22<00:00, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 100%|████▉| 239M/239M [00:22<00:00, 10.2M Bytes/s]
Total: 93%|████████████████████████ | 36.5G/39.4G [45:13<03:39, 13.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/501M [00:00<?, ? Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 2%| | 10.6M/501M [00:01<00:50, 9.73M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 3%| | 14.1M/501M [00:01<00:48, 9.93M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 3%|▏ | 15.8M/501M [00:01<00:48, 10.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 4%|▏ | 17.6M/501M [00:01<00:48, 9.95M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 4%|▏ | 19.3M/501M [00:01<00:48, 10.0M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 5%|▏ | 22.9M/501M [00:02<00:47, 10.0M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 34%|█▋ | 168M/501M [00:16<00:30, 10.9M Bytes/s]
Total: 93%|████████████████████████ | 36.5G/39.4G [45:30<03:41, 13.4M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 94%|████▋| 473M/501M [00:38<00:01, 16.4M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 96%|████▊| 482M/501M [00:38<00:01, 16.3M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 97%|████▊| 487M/501M [00:39<00:00, 16.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 489M/501M [00:39<00:00, 16.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 491M/501M [00:39<00:00, 15.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 493M/501M [00:39<00:00, 16.8M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 100%|████▉| 499M/501M [00:39<00:00, 15.6M Bytes/s]
Total: 94%|████████████████████████▍ | 37.0G/39.4G [45:55<03:02, 13.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 26%|█▎ | 125M/473M [00:11<00:31, 11.2M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 27%|█▎ | 129M/473M [00:11<00:30, 11.3M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 28%|█▍ | 133M/473M [00:12<00:27, 12.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|█▍ | 135M/473M [00:12<00:31, 10.7M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 31%|█▌ | 145M/473M [00:13<00:28, 11.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 31%|█▌ | 147M/473M [00:13<00:28, 11.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 31%|█▌ | 149M/473M [00:13<00:28, 11.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 32%|█▌ | 151M/473M [00:13<00:27, 11.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 32%|█▌ | 153M/473M [00:13<00:28, 11.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 33%|█▋ | 155M/473M [00:13<00:24, 13.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 33%|█▋ | 157M/473M [00:14<00:28, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 34%|█▋ | 159M/473M [00:14<00:27, 11.6M Bytes/s]
Total: 94%|████████████████████████▍ | 37.0G/39.4G [46:10<03:03, 13.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 34%|█▋ | 163M/473M [00:14<00:26, 11.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 35%|█▋ | 165M/473M [00:14<00:26, 11.6M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 41%|██ | 192M/473M [00:17<00:22, 12.3M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 54%|██▋ | 256M/473M [00:22<00:18, 11.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 58%|██▉ | 275M/473M [00:23<00:16, 12.1M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 84%|████▏| 396M/473M [00:33<00:04, 15.6M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 85%|████▏| 402M/473M [00:33<00:04, 16.2M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 88%|████▍| 418M/473M [00:34<00:03, 15.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 89%|████▍| 421M/473M [00:34<00:03, 16.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▍| 424M/473M [00:34<00:03, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▌| 428M/473M [00:34<00:02, 15.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|████▌| 430M/473M [00:35<00:02, 15.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|████▌| 433M/473M [00:35<00:02, 16.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|████▌| 436M/473M [00:35<00:02, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|████▋| 440M/473M [00:35<00:02, 15.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|████▋| 443M/473M [00:35<00:01, 15.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|████▋| 446M/473M [00:36<00:01, 16.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|████▊| 450M/473M [00:36<00:01, 16.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 453M/473M [00:36<00:01, 15.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 455M/473M [00:36<00:01, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 458M/473M [00:36<00:00, 16.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 461M/473M [00:37<00:00, 16.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 465M/473M [00:37<00:00, 15.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 468M/473M [00:37<00:00, 15.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 470M/473M [00:37<00:00, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 100%|████▉| 473M/473M [00:37<00:00, 15.8M Bytes/s]
Total: 95%|████████████████████████▋ | 37.5G/39.4G [46:34<02:27, 13.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 1%| | 3.74M/469M [00:07<12:11, 635k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 3.85M/469M [00:07<12:22, 626k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 3.97M/469M [00:07<11:54, 650k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 4.09M/469M [00:07<12:30, 619k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 4.19M/469M [00:08<11:37, 666k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 4.33M/469M [00:08<11:47, 657k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 4.46M/469M [00:08<10:40, 725k Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 1%| | 4.72M/469M [00:08<10:25, 742k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 4.87M/469M [00:08<09:48, 789k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 5.01M/469M [00:09<09:42, 796k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 5.17M/469M [00:09<09:18, 830k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 5.34M/469M [00:09<08:44, 883k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 5.52M/469M [00:09<08:23, 920k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 5.69M/469M [00:09<08:07, 949k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 5.88M/469M [00:09<07:44, 996k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.07M/469M [00:10<06:37, 1.16M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.28M/469M [00:10<07:04, 1.09M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.54M/469M [00:10<07:08, 1.08M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.74M/469M [00:10<06:28, 1.19M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.98M/469M [00:10<06:07, 1.26M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 7.22M/469M [00:10<05:45, 1.34M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 7.54M/469M [00:11<05:46, 1.33M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 7.78M/469M [00:11<05:11, 1.48M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 8.02M/469M [00:11<04:35, 1.67M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 8.37M/469M [00:11<04:42, 1.63M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 8.74M/469M [00:11<04:51, 1.58M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 9.05M/469M [00:11<04:16, 1.79M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 9.36M/469M [00:12<03:43, 2.05M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 9.78M/469M [00:12<03:59, 1.92M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 10.1M/469M [00:12<03:36, 2.12M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 10.6M/469M [00:12<03:30, 2.17M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 11.1M/469M [00:12<03:37, 2.11M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 11.5M/469M [00:13<03:07, 2.44M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 12.0M/469M [00:13<03:13, 2.35M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 12.4M/469M [00:13<02:47, 2.72M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 13.0M/469M [00:13<02:55, 2.60M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 13.5M/469M [00:13<02:30, 3.02M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 14.2M/469M [00:13<02:38, 2.88M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%|▏ | 14.7M/469M [00:14<02:16, 3.32M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%|▏ | 15.4M/469M [00:14<02:24, 3.15M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%|▏ | 16.0M/469M [00:14<02:05, 3.60M Bytes/s]
Total: 95%|████████████████████████▋ | 37.5G/39.4G [46:50<02:28, 13.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 17.4M/469M [00:14<01:54, 3.95M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 18.2M/469M [00:14<01:58, 3.80M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 18.9M/469M [00:15<01:44, 4.31M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 19.8M/469M [00:15<01:48, 4.15M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 20.6M/469M [00:15<01:35, 4.70M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 21.6M/469M [00:15<01:39, 4.51M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 22.4M/469M [00:15<01:27, 5.11M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 23.4M/469M [00:16<01:31, 4.89M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 24.3M/469M [00:16<01:20, 5.55M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 25.5M/469M [00:16<01:23, 5.31M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 6%|▏ | 26.4M/469M [00:16<01:13, 6.00M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 6%|▏ | 27.7M/469M [00:16<01:17, 5.70M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 6%|▏ | 28.7M/469M [00:16<01:07, 6.51M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 6%|▎ | 30.1M/469M [00:17<01:11, 6.16M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 7%|▎ | 31.2M/469M [00:17<01:02, 7.05M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 7%|▎ | 32.7M/469M [00:17<01:05, 6.65M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 7%|▎ | 33.8M/469M [00:17<00:57, 7.60M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 8%|▎ | 35.4M/469M [00:17<01:00, 7.17M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 8%|▎ | 36.7M/469M [00:17<00:52, 8.19M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 8%|▎ | 38.4M/469M [00:18<00:52, 8.19M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 95%|████▋| 445M/469M [00:43<00:01, 16.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 448M/469M [00:44<00:01, 16.3M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 97%|████▊| 453M/469M [00:44<00:00, 16.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 456M/469M [00:44<00:00, 16.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 459M/469M [00:44<00:00, 17.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 462M/469M [00:44<00:00, 16.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 465M/469M [00:45<00:00, 16.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 100%|████▉| 467M/469M [00:45<00:00, 16.6M Bytes/s]
Total: 96%|█████████████████████████ | 37.9G/39.4G [47:22<01:53, 13.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/497M [00:00<?, ? Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 53%|██▋ | 265M/497M [00:16<00:13, 16.7M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 55%|██▋ | 273M/497M [00:16<00:13, 16.9M Bytes/s]
Total: 96%|█████████████████████████ | 37.9G/39.4G [47:40<01:54, 13.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 56%|██▊ | 280M/497M [00:17<00:12, 17.1M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 97%|████▊| 480M/497M [00:29<00:01, 16.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|████▊| 482M/497M [00:29<00:00, 16.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|████▉| 485M/497M [00:29<00:00, 16.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|████▉| 487M/497M [00:29<00:00, 16.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 490M/497M [00:29<00:00, 16.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 493M/497M [00:30<00:00, 16.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 100%|████▉| 495M/497M [00:30<00:00, 16.6M Bytes/s]
Total: 97%|█████████████████████████▎| 38.4G/39.4G [47:55<01:16, 13.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/519M [00:00<?, ? Bytes/s]
Get sub-07/s .. _bold.nii.gz: 1%| | 3.72M/519M [00:00<00:27, 18.6M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 27%|█▎ | 141M/519M [00:08<00:22, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 28%|█▍ | 145M/519M [00:08<00:22, 16.4M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 34%|█▋ | 177M/519M [00:10<00:19, 17.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 35%|█▋ | 180M/519M [00:10<00:19, 17.4M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 36%|█▊ | 187M/519M [00:11<00:19, 16.9M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 38%|█▉ | 195M/519M [00:11<00:19, 16.6M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 38%|█▉ | 199M/519M [00:12<00:18, 17.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 39%|█▉ | 202M/519M [00:12<00:19, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 39%|█▉ | 204M/519M [00:12<00:18, 16.8M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 40%|██ | 208M/519M [00:12<00:18, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|██ | 210M/519M [00:12<00:18, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 41%|██ | 213M/519M [00:12<00:18, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 42%|██ | 216M/519M [00:13<00:18, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 42%|██ | 218M/519M [00:13<00:18, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 42%|██ | 220M/519M [00:13<00:17, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 223M/519M [00:13<00:17, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 225M/519M [00:13<00:17, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 227M/519M [00:13<00:16, 17.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 230M/519M [00:13<00:17, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▏ | 232M/519M [00:14<00:17, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▎ | 234M/519M [00:14<00:17, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▎ | 236M/519M [00:14<00:16, 17.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 46%|██▎ | 239M/519M [00:14<00:16, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 47%|██▎ | 242M/519M [00:14<00:17, 16.2M Bytes/s]
Total: 97%|█████████████████████████▎| 38.4G/39.4G [48:10<01:16, 13.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 48%|██▍ | 248M/519M [00:14<00:15, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 48%|██▍ | 251M/519M [00:15<00:16, 16.7M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 86%|████▎| 447M/519M [00:26<00:04, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 87%|████▎| 450M/519M [00:27<00:04, 15.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 87%|████▎| 452M/519M [00:27<00:03, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 88%|████▍| 456M/519M [00:27<00:03, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 89%|████▍| 459M/519M [00:27<00:03, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 89%|████▍| 463M/519M [00:27<00:03, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 90%|████▍| 466M/519M [00:28<00:03, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 90%|████▌| 468M/519M [00:28<00:03, 16.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 90%|████▌| 469M/519M [00:28<00:02, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 91%|████▌| 471M/519M [00:28<00:02, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 91%|████▌| 474M/519M [00:28<00:02, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 92%|████▌| 476M/519M [00:28<00:02, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 92%|████▌| 478M/519M [00:28<00:02, 16.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 93%|████▋| 482M/519M [00:29<00:02, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 93%|████▋| 485M/519M [00:29<00:02, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 94%|████▋| 488M/519M [00:29<00:01, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 94%|████▋| 490M/519M [00:29<00:01, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 95%|████▊| 493M/519M [00:29<00:01, 16.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 95%|████▊| 495M/519M [00:29<00:01, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 96%|████▊| 497M/519M [00:29<00:01, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 96%|████▊| 499M/519M [00:30<00:01, 17.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 97%|████▊| 502M/519M [00:30<00:01, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 97%|████▊| 506M/519M [00:30<00:00, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|████▉| 507M/519M [00:30<00:00, 16.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|████▉| 511M/519M [00:30<00:00, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 514M/519M [00:30<00:00, 16.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 516M/519M [00:31<00:00, 16.8M Bytes/s]
Total: 99%|█████████████████████████▋| 38.9G/39.4G [48:28<00:37, 13.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/498M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 1%| | 2.57M/498M [00:00<00:19, 24.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 1%| | 5.57M/498M [00:00<00:28, 17.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 2%| | 8.39M/498M [00:00<00:33, 14.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 2%| | 11.5M/498M [00:00<00:32, 14.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%| | 14.4M/498M [00:00<00:34, 14.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%|▏ | 15.9M/498M [00:01<00:33, 14.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 4%|▏ | 18.7M/498M [00:01<00:35, 13.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 5%|▏ | 23.7M/498M [00:01<00:34, 13.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 5%|▏ | 25.9M/498M [00:01<00:30, 15.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 6%|▏ | 29.2M/498M [00:01<00:31, 14.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 6%|▎ | 31.3M/498M [00:02<00:29, 15.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 7%|▎ | 34.5M/498M [00:02<00:31, 14.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 7%|▎ | 36.6M/498M [00:02<00:28, 16.0M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 11%|▍ | 53.1M/498M [00:03<00:27, 16.1M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 13%|▌ | 63.4M/498M [00:04<00:26, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 13%|▌ | 66.7M/498M [00:04<00:26, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 14%|▌ | 69.9M/498M [00:04<00:26, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 15%|▌ | 73.3M/498M [00:04<00:25, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 15%|▌ | 76.5M/498M [00:04<00:25, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 16%|▋ | 79.9M/498M [00:05<00:25, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 17%|▋ | 83.2M/498M [00:05<00:25, 16.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 17%|▋ | 85.0M/498M [00:05<00:25, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 18%|▋ | 88.7M/498M [00:05<00:24, 16.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 21%|█ | 103M/498M [00:06<00:23, 16.9M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 22%|█ | 112M/498M [00:07<00:22, 16.9M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 25%|█▎ | 125M/498M [00:07<00:22, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 26%|█▎ | 129M/498M [00:08<00:22, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 27%|█▎ | 132M/498M [00:08<00:22, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 27%|█▎ | 134M/498M [00:08<00:21, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|█▍ | 137M/498M [00:08<00:22, 16.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|█▍ | 139M/498M [00:08<00:21, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 29%|█▍ | 142M/498M [00:08<00:21, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 29%|█▍ | 146M/498M [00:09<00:20, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 30%|█▌ | 149M/498M [00:09<00:20, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 31%|█▌ | 153M/498M [00:09<00:20, 16.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 31%|█▌ | 154M/498M [00:09<00:20, 17.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 32%|█▌ | 158M/498M [00:09<00:20, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 32%|█▌ | 161M/498M [00:09<00:19, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 33%|█▋ | 163M/498M [00:10<00:19, 17.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 33%|█▋ | 166M/498M [00:10<00:19, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 170M/498M [00:10<00:19, 16.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 172M/498M [00:10<00:19, 17.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 35%|█▊ | 175M/498M [00:10<00:18, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 36%|█▊ | 178M/498M [00:11<00:19, 16.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 36%|█▊ | 180M/498M [00:11<00:19, 16.7M Bytes/s]
Total: 99%|█████████████████████████▋| 38.9G/39.4G [48:40<00:37, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 37%|█▊ | 185M/498M [00:11<00:19, 16.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 189M/498M [00:11<00:18, 16.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 192M/498M [00:11<00:18, 16.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 195M/498M [00:12<00:19, 15.9M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 40%|██ | 200M/498M [00:12<00:18, 16.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 41%|██ | 206M/498M [00:12<00:17, 16.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 43%|██▏ | 214M/498M [00:13<00:16, 16.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 45%|██▎ | 226M/498M [00:13<00:16, 16.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 57%|██▊ | 283M/498M [00:17<00:12, 16.6M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 59%|██▉ | 295M/498M [00:18<00:12, 16.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 62%|███ | 311M/498M [00:19<00:11, 15.6M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 64%|███▏ | 317M/498M [00:19<00:11, 15.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 65%|███▏ | 322M/498M [00:19<00:11, 15.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 65%|███▎ | 325M/498M [00:19<00:10, 16.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 66%|███▎ | 328M/498M [00:20<00:10, 15.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 66%|███▎ | 331M/498M [00:20<00:09, 17.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 67%|███▎ | 334M/498M [00:20<00:09, 16.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 68%|███▍ | 337M/498M [00:20<00:10, 15.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 68%|███▍ | 339M/498M [00:20<00:09, 17.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 69%|███▍ | 342M/498M [00:20<00:09, 15.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 69%|███▍ | 345M/498M [00:21<00:08, 17.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 70%|███▍ | 348M/498M [00:21<00:09, 15.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 70%|███▌ | 350M/498M [00:21<00:08, 16.7M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 71%|███▌ | 356M/498M [00:21<00:08, 17.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 72%|███▌ | 359M/498M [00:21<00:08, 16.0M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 73%|███▋ | 365M/498M [00:22<00:08, 16.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 74%|███▋ | 367M/498M [00:22<00:07, 17.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 74%|███▋ | 371M/498M [00:22<00:07, 16.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 75%|███▋ | 373M/498M [00:22<00:07, 17.6M Bytes/s]
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get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-6_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file)
get(ok): sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-9_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file)
get(ok): sub-05/ses-mri/func/sub-05_ses-mri_task-facerecognition_run-9_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file)
get(ok): sub-09/ses-mri/func/sub-09_ses-mri_task-facerecognition_run-4_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file)
get(ok): sub-07/ses-mri/func/sub-07_ses-mri_task-facerecognition_run-7_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file)
get(ok): sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-7_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file)
get(ok): sub-03/ses-mri/func/sub-03_ses-mri_task-facerecognition_run-3_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file)
get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-8_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file)
get(ok): sub-05/ses-mri/func/sub-05_ses-mri_task-facerecognition_run-5_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file)
get(ok): sub-08/ses-mri/func/sub-08_ses-mri_task-facerecognition_run-6_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file)
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action summary:
get (ok: 81)
%%capture
!pip install nilearn pandas scipy
Load SPM and import Python and Nipype modules#
import module
await module.purge(force=True)
await module.load('spm12/r7771')
await module.list()
['spm12/r7771']
import pandas as pd
import numpy as np
from nilearn import plotting
import matplotlib.pyplot as plt
import json
import os
from os.path import join as opj
from scipy.io import loadmat
import nipype.algorithms.modelgen as model
from nipype.interfaces import spm
from nipype.interfaces.io import DataSink, DataGrabber
from nipype.interfaces.utility import IdentityInterface, Function
from nipype import Node, Workflow, MapNode
from nipype.algorithms.misc import Gunzip
import nipype
NIPYPE_VERSION = nipype.__version__
print(NIPYPE_VERSION)
1.8.6
if NIPYPE_VERSION <= '1.8.6':
print('Contrasts need to be defined manually and wont be computed automatically when they are defined in Level1Design using the factor_info parameter')
# starting in nipype version 1.8.7., when factor_info parameter is used in Level1design T and F contrasts (ess*, con*, spmF* and spmT* images)
# are created automatically by in EstimateModel by SPM
Contrasts need to be defined manually and wont be computed automatically when they are defined in Level1Design using the factor_info parameter
Analysis#
1. First Level Analysis#
Prepare Data Input#
#base directories
data_base_dir = os.getcwd()
experiment_dir = opj(data_base_dir, 'spm_analysis/') #where to store the working and datasink directories
#list of subject identifiers and runs
sub_list = ['01', '02', '03', '04', '05', '06', '07', '08', '09']
#only take run 1 and 2 for computational reasons
run_id = [1,2]
#TR of functional images
with open(opj(data_base_dir,'ds000117/task-facerecognition_bold.json'), 'rt') as fp:
task_info = json.load(fp)
TR = float(task_info['RepetitionTime'])
print('Repetition Time:', TR)
Repetition Time: 2.0
Start the workflow#
wf = Workflow(name='level1_spm', base_dir=experiment_dir)
wf.config["execution"]["crashfile_format"] = "txt"
Input stream#
infosource = Node(IdentityInterface(fields=["subject_id"]),
name="infosource")
infosource.iterables = [("subject_id", sub_list)]
SPM12 can accept NIfTI files as input, but only if they are not compressed (‘unzipped’). Use Gunzip node to unzip the files, before feeding them it to the model specification node.#
gunzip_func = MapNode(Gunzip(), name='gunzip_func', iterfield='in_file')
datagrabber = Node(interface=DataGrabber(
infields=["subject_id","run_id"], outfields=["func", "events"]
), name="datagrabber"
)
# Specify task names and return a sorted filelist to ensure to match files to correct runs
datagrabber.inputs.run_id = run_id
datagrabber.inputs.sort_filelist = True
datagrabber.inputs.template = "*"
datagrabber.inputs.base_directory = data_base_dir
# Define arguments fill the wildcards in the below paths
datagrabber.inputs.template_args = dict(
func=[["subject_id","subject_id","run_id"]],
events=[["subject_id","subject_id", "run_id"]]
)
datagrabber.inputs.field_template = dict(
func= "ds000117-fmriprep/sub-%s/ses-mri/func/sub-%s_ses-mri_task-facerecognition_run-%d_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz",
events="ds000117/sub-%s/ses-mri/func/sub-%s_ses-mri_task-facerecognition_run-0%d_events.tsv",
)
wf.connect([
(infosource, datagrabber, [("subject_id", "subject_id")])])
wf.connect([(datagrabber, gunzip_func, [('func', 'in_file')])])
First-level GLM#
The subsequent task involves obtaining information such as stimuli type, onset, duration, and other regressors for integration into the GLM model. To accomplish this, a helper function needs to be created, which will be referred to as subjectinfo.
A TSV file for each run looks like this:
!cat ds000117/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-01_events.tsv
onset duration circle_duration stim_type trigger button_pushed response_time stim_file
0 .908 .534 FAMOUS 5 4 2.158 func/f013.bmp
3.273 .962 .586 FAMOUS 6 4 1.233 func/f013.bmp
6.647 .825 .546 UNFAMILIAR 13 4 1.183 func/u014.bmp
9.838 .968 .597 UNFAMILIAR 14 4 .930 func/u014.bmp
12.978 .904 .415 UNFAMILIAR 13 7 1.068 func/u016.bmp
16.219 .859 .558 UNFAMILIAR 14 7 1.207 func/u016.bmp
19.443 .804 .585 UNFAMILIAR 13 4 1.286 func/u010.bmp
22.55 .879 .526 UNFAMILIAR 14 4 1.008 func/u010.bmp
25.606 .866 .416 SCRAMBLED 17 7 1.929 func/s002.bmp
28.697 .884 .461 SCRAMBLED 18 4 1.300 func/s002.bmp
31.319 20.000 20.000 n/a 999 20000 20.000 func/i999.bmp
51.898 .974 .543 FAMOUS 5 7 2.477 func/f004.bmp
55.173 .925 .534 SCRAMBLED 17 7 1.372 func/s008.bmp
58.313 .985 .439 UNFAMILIAR 13 4 1.431 func/u012.bmp
61.587 .862 .533 FAMOUS 5 4 1.086 func/f012.bmp
64.677 .869 .461 FAMOUS 6 4 1.018 func/f012.bmp
67.75 .804 .446 SCRAMBLED 17 7 1.267 func/s007.bmp
70.774 .873 .445 SCRAMBLED 17 7 1.211 func/s011.bmp
73.881 .983 .466 FAMOUS 7 7 1.203 func/f004.bmp
77.105 .998 .468 SCRAMBLED 17 7 1.240 func/s015.bmp
80.445 .833 .583 SCRAMBLED 19 7 1.379 func/s008.bmp
83.469 .940 .434 FAMOUS 5 7 1.637 func/f006.bmp
86.676 .813 .488 FAMOUS 6 7 1.209 func/f006.bmp
89.833 .994 .570 UNFAMILIAR 15 4 1.444 func/u012.bmp
93.19 .997 .594 FAMOUS 5 7 1.352 func/f009.bmp
96.448 .869 .491 FAMOUS 5 7 1.012 func/f005.bmp
99.655 .821 .571 SCRAMBLED 19 7 1.483 func/s007.bmp
102.695 .933 .437 FAMOUS 5 7 1.228 func/f002.bmp
105.869 .818 .481 FAMOUS 6 7 1.109 func/f002.bmp
108.942 .925 .487 SCRAMBLED 19 7 1.205 func/s011.bmp
111.615 20.000 20.000 n/a 999 20000 20.000 func/i999.bmp
132.144 .980 .498 FAMOUS 5 7 .898 func/f014.bmp
135.351 .833 .458 SCRAMBLED 19 n/a 0 func/s015.bmp
138.541 .999 .591 SCRAMBLED 17 4 1.940 func/s004.bmp
141.849 .868 .548 FAMOUS 5 4 1.366 func/f001.bmp
144.906 .832 .421 FAMOUS 6 4 1.433 func/f001.bmp
147.946 .897 .445 FAMOUS 7 7 .767 func/f009.bmp
151.186 .971 .575 UNFAMILIAR 13 7 1.604 func/u013.bmp
154.393 .978 .458 FAMOUS 7 7 1.137 func/f005.bmp
157.701 .984 .564 FAMOUS 5 7 1.248 func/f015.bmp
161.008 .900 .556 UNFAMILIAR 13 4 1.239 func/u011.bmp
164.265 .828 .594 UNFAMILIAR 14 4 1.269 func/u011.bmp
167.306 .830 .447 FAMOUS 7 7 1.116 func/f014.bmp
170.312 .992 .415 FAMOUS 5 7 1.806 func/f003.bmp
173.519 .942 .442 FAMOUS 6 7 1.361 func/f003.bmp
176.777 .874 .539 SCRAMBLED 19 4 1.363 func/s004.bmp
179.984 .845 .559 SCRAMBLED 17 4 1.131 func/s012.bmp
183.058 .981 .467 SCRAMBLED 17 7 .872 func/s001.bmp
186.365 .880 .559 SCRAMBLED 18 7 1.000 func/s001.bmp
189.422 .858 .414 UNFAMILIAR 15 4 1.095 func/u013.bmp
192.027 20.000 20.000 n/a 999 20000 20.000 func/i999.bmp
212.623 .873 .554 SCRAMBLED 17 4 1.718 func/s006.bmp
215.83 .863 .558 FAMOUS 7 7 1.115 func/f015.bmp
218.937 .984 .479 SCRAMBLED 17 7 1.449 func/s014.bmp
222.178 .873 .487 SCRAMBLED 18 7 .834 func/s014.bmp
225.452 .912 .536 UNFAMILIAR 13 4 1.099 func/u002.bmp
228.559 .952 .419 UNFAMILIAR 14 4 .915 func/u002.bmp
231.733 .891 .465 UNFAMILIAR 13 4 1.023 func/u004.bmp
234.89 .947 .496 UNFAMILIAR 14 4 .953 func/u004.bmp
238.164 .824 .560 SCRAMBLED 19 7 1.068 func/s012.bmp
241.187 .922 .425 FAMOUS 5 4 1.154 func/f011.bmp
244.478 .941 .593 SCRAMBLED 17 7 1.283 func/s005.bmp
247.668 .857 .482 SCRAMBLED 18 7 1.023 func/s005.bmp
250.825 .813 .524 SCRAMBLED 19 7 1.329 func/s006.bmp
253.849 .921 .450 FAMOUS 5 7 1.221 func/f007.bmp
257.072 .903 .528 SCRAMBLED 17 7 .788 func/s016.bmp
260.163 .969 .419 FAMOUS 5 4 1.369 func/f010.bmp
263.403 .892 .516 FAMOUS 6 4 1.183 func/f010.bmp
266.627 .950 .562 SCRAMBLED 17 7 1.326 func/s009.bmp
269.901 .935 .561 SCRAMBLED 18 7 1.010 func/s009.bmp
273.025 .896 .434 FAMOUS 7 7 1.431 func/f011.bmp
275.664 20.000 20.000 n/a 999 20000 20.000 func/i999.bmp
296.109 .895 .410 SCRAMBLED 17 4 1.541 func/s010.bmp
299.233 .908 .452 SCRAMBLED 18 4 1.010 func/s010.bmp
302.373 .866 .457 UNFAMILIAR 13 4 1.137 func/u008.bmp
305.53 .880 .519 FAMOUS 7 7 1.127 func/f007.bmp
308.588 .821 .417 SCRAMBLED 17 7 1.208 func/s003.bmp
311.594 .873 .403 SCRAMBLED 18 7 .965 func/s003.bmp
314.784 .967 .543 SCRAMBLED 19 7 1.126 func/s016.bmp
318.008 .913 .495 SCRAMBLED 17 4 1.137 func/s013.bmp
321.165 .957 .477 UNFAMILIAR 13 4 1.073 func/u007.bmp
324.423 .826 .534 UNFAMILIAR 14 4 .934 func/u007.bmp
327.479 .998 .457 UNFAMILIAR 13 4 1.293 func/u015.bmp
330.77 .981 .534 UNFAMILIAR 13 4 1.075 func/u009.bmp
334.011 .920 .491 UNFAMILIAR 15 4 1.075 func/u008.bmp
337.134 .967 .442 FAMOUS 5 7 .754 func/f008.bmp
340.425 .946 .552 FAMOUS 6 7 .917 func/f008.bmp
343.632 .870 .489 UNFAMILIAR 13 4 1.286 func/u003.bmp
346.839 .990 .552 UNFAMILIAR 14 4 1.141 func/u003.bmp
350.146 .937 .542 SCRAMBLED 19 4 1.334 func/s013.bmp
352.836 20.000 20.000 n/a 999 20000 20.000 func/i999.bmp
373.298 .816 .420 UNFAMILIAR 13 4 1.415 func/u001.bmp
376.455 .837 .577 UNFAMILIAR 14 4 1.247 func/u001.bmp
379.646 .825 .572 UNFAMILIAR 13 7 1.292 func/u006.bmp
382.786 .995 .540 UNFAMILIAR 15 4 1.003 func/u015.bmp
385.993 .976 .447 UNFAMILIAR 13 7 1.536 func/u005.bmp
389.3 .906 .558 UNFAMILIAR 15 4 1.078 func/u009.bmp
392.508 .957 .526 FAMOUS 5 7 1.223 func/f016.bmp
395.264 .012 0 n/a 999 0 0 func/Circle.bmp
As mentioned in the introduction, these event files will be adapted in the function ‘subjectinfo’ to demonstrate the setup of a 3x2 factorial design analysis. The original stimulus types (stim_types) FAMOUS, NONFAMILIAR, SCRAMBLED will be replaced with F1 (first presentation of an image of a famous face)/ F2 (second presentation of image), U1/U2 and S1/S1 due to the first or second occurance of the respective stimulus file (stim_file). In addition, stimuli of stimulus type n/a are deleted.
# Get the subject information: to create a GLM model, Nipype needs a list of Bunch objects per run (session)
def subjectinfo(events):
# packages need to be imported within the function for node to work (function is executed in a standalone environment)
from nipype.interfaces.base import Bunch
import pandas as pd
from collections import OrderedDict
trialinfo = pd.read_table(events)
# Filter out rows where stim_type does not contain 'FAMOUS', 'UNFAMILIAR', or 'SCRAMBLED' --> n/a
trialinfo = trialinfo[trialinfo['stim_type'].isin(['FAMOUS', 'UNFAMILIAR', 'SCRAMBLED'])].reset_index(drop=True)
# Create a dictionary to store the count of occurrences for each stim_file
stim_file_count = {}
# Iterate over each row in the dataframe
for index, row in trialinfo.iterrows():
# Get the stim_file value for the current row
stim_file = row['stim_file']
# If the stim_file is not in the stim_file_count dictionary, add it with count 1
if stim_file not in stim_file_count:
stim_file_count[stim_file] = 1
else:
# Increment the count for the stim_file and update the dictionary
stim_file_count[stim_file] += 1
# Get the count of occurrences for the current stim_file
count = stim_file_count[stim_file]
# Determine the new stim_type based on the stim_file and its count
if 'FAMOUS' in row['stim_type']:
new_stim_type = f'F{count}'
elif 'UNFAMILIAR' in row['stim_type']:
new_stim_type = f'U{count}'
else:
# If it's not 'FAMOUS' or 'UNFAMILIAR', it must be 'SCRAMBLED'
new_stim_type = f'S{count}'
# Update the stim_type in the dataframe
trialinfo.at[index, 'stim_type'] = new_stim_type
# Define the custom sorting order (instead of an alphabetic ordering F1, F2, S1, S2, U1, U2
sorting_order = OrderedDict([('F1', 1), ('F2', 2), ('U1', 3), ('U2', 4), ('S1', 5), ('S2', 6)])
conditions = []
onsets = []
durations = []
# Group trialinfo by 'stim_type' and iterate over groups
grouped_trials = trialinfo.groupby('stim_type')
for group_key in sorting_order.keys(): # Use keys() to iterate over keys
group_data = grouped_trials.get_group(group_key)
conditions.append(group_key)
onsets.append(group_data['onset'].tolist())
durations.append(group_data['duration'].tolist())
subject_info = Bunch(conditions=conditions,
onsets=onsets,
durations=durations)
return subject_info
getsubjectinfo = MapNode(Function(input_names=['events'],
output_names=['subject_info'],
function=subjectinfo),
name='getsubjectinfo', iterfield=['events'])
wf.connect(datagrabber, 'events', getsubjectinfo, 'events')
modelspec = Node(model.SpecifySPMModel(concatenate_runs=True,
input_units = 'secs',
output_units = 'secs',
time_repetition= TR,
high_pass_filter_cutoff=128), #in secs, slow signal drifts with a period > 128 will be removed
name='modelspec')
wf.connect(getsubjectinfo, 'subject_info', modelspec,'subject_info')
wf.connect(gunzip_func, 'out_file', modelspec, 'functional_runs')
Level1Design: canonical HRF#
The design matrix will be constructed without including derivatives of the hemodynamic response function (HRF) and therefore assumes a constant delay and dispersion for the hemodynamic response.
Starting in nipype version 1.8.7., when factor_info parameter is used in Level1design, T and F contrasts (ess, con, spmF and spmT images) are created automatically in EstimateModel by SPM. They need to be connected directly to a data output module
The following lines automatically inform SPM to create a default set of contrats for a factorial design.
# Level1Design - Generates an SPM design matrix
level1design = Node(spm.Level1Design(bases={'hrf':{'derivs': [0,0]}}, # no derivatives
timing_units='secs',
interscan_interval=TR,
microtime_onset=8, #The onset/time-bin in seconds for alignment
microtime_resolution=16, #Number of time-bins per scan in secs
mask_threshold=0.8,
global_intensity_normalization='none',
volterra_expansion_order=1, #do not model interactions
model_serial_correlations='AR(1)'), # serial correlations --> autoregressive AR(1) model during Classical (ReML) parameter estimation
name='level1design')
if NIPYPE_VERSION > '1.8.6':
# Factors need to match conditions: product of levels (here 6) needs to match number of condition names --> F1, F2, U1, U2, S1, S2
level1design.inputs.factor_info = [dict(name = 'Face', levels = 3),
dict(name = 'Rep', levels = 2)]
wf.connect(modelspec,'session_info', level1design, 'session_info')
# EstimateModel - estimate the parameters of the model
level1estimate = Node(spm.EstimateModel(estimation_method={'Classical':1}),
name='level1estimate')
wf.connect(level1design, 'spm_mat_file', level1estimate, 'spm_mat_file')
Specify GLM contrast for nipype<=1.8.6#
Contrasts need to be set up manually as they are not created automatically in EstimateModel when factor_info parameter is used in Level1Design.
condition_names = ['F1', 'F2', 'U1', 'U2', 'S1', 'S2'] #The condition names must match the names listed in the subjectinfo function described above.
cond1 = ('Positive effect of condition', 'T', condition_names, [1, 1, 1, 1, 1, 1])
# positive effect face
face1 = ('Positive effect of Face_1', 'T', condition_names, [1, 1, -1, -1, 0, 0])
face2 = ('Positive effect of Face_2', 'T', condition_names, [0, 0, 1, 1, -1, -1])
# rep1 > rep2
rep1 = ('Positive effect of Rep', 'T', condition_names, [1, -1, 1, -1, 1, -1])
# positive interaction face x rep
int1 = ('Positive interaction of Face x Rep1', 'T', condition_names, [1, -1, -1, 1, 0, 0])
int2 = ('Positive interaction of Face x Rep2', 'T', condition_names, [0, 0, 1, -1, -1, 1])
contf1 = ['Average effect condition', 'F', [cond1]]
contf2 = ['Main effect Face', 'F', [face1, face2]]
contf3 = ['Main effect Rep', 'F', [rep1]]
contf4 = ['Interaction: Face x Rep', 'F', [int1, int2]]
contrasts = [contf1, contf2, contf3, contf4, cond1, face1, face2, rep1, int1, int2]
# EstimateContrast - explicit contrast estimation with nipype version <= 1.8.6 with the defined contrast list
if NIPYPE_VERSION <= '1.8.6':
level1conest = Node(spm.EstimateContrast(),
name='level1conest')
level1conest.inputs.contrasts = contrasts
wf.connect([(level1estimate, level1conest, [('spm_mat_file','spm_mat_file'),
('beta_images','beta_images'),
('residual_image','residual_image')])])
Output stream#
# save all results into one
datasink = Node(DataSink(), name='sinker')
datasink.inputs.base_directory=opj(experiment_dir, "level1_spm_results")
wf.connect(infosource, 'subject_id', datasink, 'container')
if NIPYPE_VERSION <= '1.8.6':
wf.connect([(level1conest, datasink, [('spm_mat_file', '1stLevel.@spm_mat'),
('spmT_images', '1stLevel.@T'),
('con_images', '1stLevel.@con'),
('spmF_images', '1stLevel.@F'),
('ess_images', '1stLevel.@ess')]),
])
# starting in nipype version 1.8.7., when factor_info parameter is used in Level1Design T and F contrasts (ess*, con*, spmF* and spmT* images)
# are created automatically by SPM in EstimateModel
else:
wf.connect(level1design, 'spm_mat_file', datasink, '1stLevel.@spm_mat')
wf.connect([(level1estimate, datasink, [
('spmT_images', '1stLevel.@T'),
('con_images', '1stLevel.@con'),
('spmF_images', '1stLevel.@F'),
('ess_images', '1stLevel.@ess')]),
])
subFolders = [('%s/1stLevel' % s, 'sub-%s/' % s)
for s in sub_list]
subFolders1 = [('_subject_id_%s'%(s), '')
for s in sub_list]
subFolders.extend(subFolders1)
datasink.inputs.substitutions = subFolders
# Create 1st-level analysis output graph
wf.write_graph(graph2use='colored', format='png', simple_form=True)
# Visualize the graph
from IPython.display import Image
Image(filename=opj(wf.base_dir, wf.name, 'graph.png'))
250611-03:43:56,403 nipype.workflow INFO:
Generated workflow graph: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/graph.png (graph2use=colored, simple_form=True).
wf.run(plugin="MultiProc") #will use all CPUs
250611-03:43:56,441 nipype.workflow INFO:
Workflow level1_spm settings: ['check', 'execution', 'logging', 'monitoring']
250611-03:43:56,499 nipype.workflow INFO:
Running in parallel.
250611-03:43:56,503 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 9 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:43:57,340 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/datagrabber".
250611-03:43:57,355 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/datagrabber".
250611-03:43:57,362 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/datagrabber".
250611-03:43:57,375 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/datagrabber".
250611-03:43:57,413 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
250611-03:43:57,391 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/datagrabber".
250611-03:43:57,390 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/datagrabber".
250611-03:43:57,419 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
250611-03:43:57,396 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/datagrabber".
250611-03:43:57,412 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/datagrabber".
250611-03:43:57,438 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
250611-03:43:57,419 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/datagrabber".
250611-03:43:57,438 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.007181s.
250611-03:43:57,454 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
250611-03:43:57,456 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
250611-03:43:57,462 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.017509s.
250611-03:43:57,462 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
250611-03:43:57,489 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
250611-03:43:57,490 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
250611-03:43:57,490 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.006855s.
250611-03:43:57,503 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.007675s.
250611-03:43:57,510 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
250611-03:43:57,513 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.026732s.
250611-03:43:57,518 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.013269s.
250611-03:43:57,529 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.013644s.
250611-03:43:57,538 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.008001s.
250611-03:43:57,538 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.020238s.
250611-03:43:58,511 nipype.workflow INFO:
[Job 0] Completed (level1_spm.datagrabber).
250611-03:43:58,515 nipype.workflow INFO:
[Job 1] Completed (level1_spm.datagrabber).
250611-03:43:58,517 nipype.workflow INFO:
[Job 2] Completed (level1_spm.datagrabber).
250611-03:43:58,518 nipype.workflow INFO:
[Job 3] Completed (level1_spm.datagrabber).
250611-03:43:58,519 nipype.workflow INFO:
[Job 4] Completed (level1_spm.datagrabber).
250611-03:43:58,520 nipype.workflow INFO:
[Job 5] Completed (level1_spm.datagrabber).
250611-03:43:58,528 nipype.workflow INFO:
[Job 6] Completed (level1_spm.datagrabber).
250611-03:43:58,529 nipype.workflow INFO:
[Job 7] Completed (level1_spm.datagrabber).
250611-03:43:58,530 nipype.workflow INFO:
[Job 8] Completed (level1_spm.datagrabber).
250611-03:43:58,532 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 18 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:44:00,503 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 36 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:44:00,634 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:00,634 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:00,634 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:00,656 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:00,722 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:00,656 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:00,722 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:00,689 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:00,722 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:00,650 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:00,722 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:00,649 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:00,722 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,664 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:00,722 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:00,722 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:00,722 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:00,721 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:00,663 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:00,702 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:00,742 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:00,702 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:00,730 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:00,730 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:00,715 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:00,671 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:00,763 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,742 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:00,783 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,715 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:00,715 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:00,742 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:00,795 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,742 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:00,783 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,803 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,810 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,797 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,742 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:00,839 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,857 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,870 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,722 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:00,885 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,903 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,903 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,899 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,880 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,870 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,919 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,919 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,926 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,938 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,949 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,950 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,938 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,932 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,919 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,932 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:00,957 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
250611-03:44:00,950 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
250611-03:44:01,19 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:01,20 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
250611-03:44:01,31 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:01,282 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.466759s.
250611-03:44:01,330 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.472911s.
250611-03:44:01,389 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.5441s.
250611-03:44:01,356 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.551297s.
250611-03:44:01,371 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.437678s.
250611-03:44:01,503 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.441581s.
250611-03:44:01,509 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.517357s.
250611-03:44:01,509 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.464639s.
250611-03:44:01,527 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.488575s.
250611-03:44:01,590 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.582495s.
250611-03:44:01,574 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.528698s.
250611-03:44:01,642 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.519237s.
250611-03:44:01,642 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.572334s.
250611-03:44:01,742 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.746369s.
250611-03:44:01,780 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.610892s.
250611-03:44:01,803 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.648105s.
250611-03:44:02,512 nipype.workflow INFO:
[Job 74] Completed (_getsubjectinfo0).
250611-03:44:02,520 nipype.workflow INFO:
[Job 75] Completed (_getsubjectinfo1).
250611-03:44:02,521 nipype.workflow INFO:
[Job 78] Completed (_getsubjectinfo0).
250611-03:44:02,522 nipype.workflow INFO:
[Job 79] Completed (_getsubjectinfo1).
250611-03:44:02,523 nipype.workflow INFO:
[Job 82] Completed (_getsubjectinfo0).
250611-03:44:02,524 nipype.workflow INFO:
[Job 83] Completed (_getsubjectinfo1).
250611-03:44:02,525 nipype.workflow INFO:
[Job 86] Completed (_getsubjectinfo0).
250611-03:44:02,526 nipype.workflow INFO:
[Job 87] Completed (_getsubjectinfo1).
250611-03:44:02,527 nipype.workflow INFO:
[Job 90] Completed (_getsubjectinfo0).
250611-03:44:02,528 nipype.workflow INFO:
[Job 91] Completed (_getsubjectinfo1).
250611-03:44:02,528 nipype.workflow INFO:
[Job 94] Completed (_getsubjectinfo0).
250611-03:44:02,532 nipype.workflow INFO:
[Job 95] Completed (_getsubjectinfo1).
250611-03:44:02,533 nipype.workflow INFO:
[Job 98] Completed (_getsubjectinfo0).
250611-03:44:02,534 nipype.workflow INFO:
[Job 99] Completed (_getsubjectinfo1).
250611-03:44:02,535 nipype.workflow INFO:
[Job 102] Completed (_getsubjectinfo0).
250611-03:44:02,539 nipype.workflow INFO:
[Job 103] Completed (_getsubjectinfo1).
250611-03:44:02,554 nipype.workflow INFO:
[MultiProc] Running 16 tasks, and 12 jobs ready. Free memory (GB): 216.28/219.48, Free processors: 16/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
250611-03:44:02,807 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:02,805 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:02,820 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
250611-03:44:02,829 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:02,828 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
250611-03:44:02,834 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:02,851 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:02,857 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:02,851 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
250611-03:44:02,871 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:02,850 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:02,865 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
250611-03:44:02,851 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
250611-03:44:02,871 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:02,873 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
250611-03:44:02,884 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:02,895 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
250611-03:44:02,885 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
250611-03:44:02,900 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:02,900 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
250611-03:44:02,901 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
250611-03:44:02,900 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:02,920 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:02,902 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
250611-03:44:02,902 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
250611-03:44:02,902 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:02,908 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
250611-03:44:02,919 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:02,926 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:02,943 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
250611-03:44:02,925 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
250611-03:44:02,943 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
250611-03:44:02,951 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
250611-03:44:02,959 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
250611-03:44:02,975 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
250611-03:44:02,976 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
250611-03:44:02,976 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:02,975 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
250611-03:44:02,982 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
250611-03:44:02,984 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:02,983 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
250611-03:44:02,982 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:02,992 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
250611-03:44:02,991 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
250611-03:44:03,8 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
250611-03:44:03,8 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
250611-03:44:02,970 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:03,15 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
250611-03:44:03,22 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
250611-03:44:03,24 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:03,29 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.099508s.
250611-03:44:03,29 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
250611-03:44:03,17 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
250611-03:44:03,34 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
250611-03:44:03,52 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.104873s.
250611-03:44:03,53 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
250611-03:44:03,58 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
250611-03:44:03,78 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
250611-03:44:04,507 nipype.workflow INFO:
[Job 10] Completed (level1_spm.getsubjectinfo).
250611-03:44:04,510 nipype.workflow INFO:
[Job 12] Completed (level1_spm.getsubjectinfo).
250611-03:44:04,512 nipype.workflow INFO:
[Job 14] Completed (level1_spm.getsubjectinfo).
250611-03:44:04,513 nipype.workflow INFO:
[Job 16] Completed (level1_spm.getsubjectinfo).
250611-03:44:04,514 nipype.workflow INFO:
[Job 18] Completed (level1_spm.getsubjectinfo).
250611-03:44:04,516 nipype.workflow INFO:
[Job 20] Completed (level1_spm.getsubjectinfo).
250611-03:44:04,519 nipype.workflow INFO:
[Job 22] Completed (level1_spm.getsubjectinfo).
250611-03:44:04,521 nipype.workflow INFO:
[Job 24] Completed (level1_spm.getsubjectinfo).
250611-03:44:04,522 nipype.workflow INFO:
[Job 106] Completed (_getsubjectinfo0).
250611-03:44:04,523 nipype.workflow INFO:
[Job 107] Completed (_getsubjectinfo1).
250611-03:44:04,525 nipype.workflow INFO:
[MultiProc] Running 18 tasks, and 1 jobs ready. Free memory (GB): 215.88/219.48, Free processors: 14/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
250611-03:44:04,767 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/getsubjectinfo/mapflow/_getsubjectinfo0".
250611-03:44:04,801 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
250611-03:44:04,803 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
250611-03:44:04,817 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/getsubjectinfo/mapflow/_getsubjectinfo1".
250611-03:44:04,837 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
250611-03:44:04,853 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
250611-03:44:06,507 nipype.workflow INFO:
[Job 26] Completed (level1_spm.getsubjectinfo).
250611-03:44:06,510 nipype.workflow INFO:
[MultiProc] Running 18 tasks, and 0 jobs ready. Free memory (GB): 215.88/219.48, Free processors: 14/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
250611-03:44:33,104 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 32.093713s.
250611-03:44:34,534 nipype.workflow INFO:
[Job 100] Completed (_gunzip_func0).
250611-03:44:34,557 nipype.workflow INFO:
[MultiProc] Running 17 tasks, and 0 jobs ready. Free memory (GB): 216.08/219.48, Free processors: 15/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
250611-03:44:47,193 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 46.179708s.
250611-03:44:47,803 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 46.932327s.
250611-03:44:48,551 nipype.workflow INFO:
[Job 76] Completed (_gunzip_func0).
250611-03:44:48,562 nipype.workflow INFO:
[Job 81] Completed (_gunzip_func1).
250611-03:44:48,573 nipype.workflow INFO:
[MultiProc] Running 15 tasks, and 0 jobs ready. Free memory (GB): 216.48/219.48, Free processors: 17/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
* _gunzip_func0
250611-03:44:50,375 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 49.354018s.
250611-03:44:50,548 nipype.workflow INFO:
[Job 89] Completed (_gunzip_func1).
250611-03:44:50,555 nipype.workflow INFO:
[MultiProc] Running 14 tasks, and 0 jobs ready. Free memory (GB): 216.68/219.48, Free processors: 18/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
* _gunzip_func0
250611-03:44:51,748 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 50.934137s.
250611-03:44:52,551 nipype.workflow INFO:
[Job 72] Completed (_gunzip_func0).
250611-03:44:52,563 nipype.workflow INFO:
[MultiProc] Running 13 tasks, and 0 jobs ready. Free memory (GB): 216.88/219.48, Free processors: 19/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
250611-03:44:52,557 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 49.625806s.
250611-03:44:54,283 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 53.176592s.
250611-03:44:54,558 nipype.workflow INFO:
[Job 88] Completed (_gunzip_func0).
250611-03:44:54,564 nipype.workflow INFO:
[Job 105] Completed (_gunzip_func1).
250611-03:44:54,576 nipype.workflow INFO:
[MultiProc] Running 11 tasks, and 1 jobs ready. Free memory (GB): 217.28/219.48, Free processors: 21/32.
Currently running:
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
250611-03:44:54,842 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 53.784917s.
250611-03:44:54,923 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:54,942 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
250611-03:44:54,956 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
250611-03:44:54,967 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:54,979 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
250611-03:44:54,980 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
250611-03:44:55,729 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 54.83671s.
250611-03:44:56,157 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 55.276649s.
250611-03:44:56,236 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 53.310628s.
250611-03:44:56,272 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 55.443966s.
250611-03:44:56,402 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 55.340352s.
250611-03:44:56,449 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 55.348739s.
250611-03:44:56,476 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 55.4706s.
250611-03:44:56,556 nipype.workflow INFO:
[Job 73] Completed (_gunzip_func1).
250611-03:44:56,558 nipype.workflow INFO:
[Job 77] Completed (_gunzip_func1).
250611-03:44:56,559 nipype.workflow INFO:
[Job 84] Completed (_gunzip_func0).
250611-03:44:56,560 nipype.workflow INFO:
[Job 85] Completed (_gunzip_func1).
250611-03:44:56,561 nipype.workflow INFO:
[Job 93] Completed (_gunzip_func1).
250611-03:44:56,562 nipype.workflow INFO:
[Job 97] Completed (_gunzip_func1).
250611-03:44:56,563 nipype.workflow INFO:
[Job 101] Completed (_gunzip_func1).
250611-03:44:56,564 nipype.workflow INFO:
[Job 104] Completed (_gunzip_func0).
250611-03:44:56,565 nipype.workflow INFO:
[Job 17] Completed (level1_spm.gunzip_func).
250611-03:44:56,570 nipype.workflow INFO:
[MultiProc] Running 3 tasks, and 6 jobs ready. Free memory (GB): 218.88/219.48, Free processors: 29/32.
Currently running:
* _gunzip_func0
* _gunzip_func0
* _gunzip_func0
250611-03:44:56,570 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 55.619414s.
250611-03:44:56,738 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 55.624558s.
250611-03:44:56,768 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:56,775 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/modelspec".
250611-03:44:56,775 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:56,776 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:56,788 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:56,788 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:56,788 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
250611-03:44:56,788 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
250611-03:44:56,790 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
250611-03:44:56,790 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
250611-03:44:56,791 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
250611-03:44:56,791 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
250611-03:44:56,791 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
250611-03:44:56,792 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
250611-03:44:56,792 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:56,792 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
250611-03:44:56,792 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
250611-03:44:56,799 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:56,799 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:56,799 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:56,800 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:56,800 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
250611-03:44:56,800 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
250611-03:44:56,801 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
250611-03:44:56,802 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
250611-03:44:56,802 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
250611-03:44:56,802 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
250611-03:44:56,801 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
250611-03:44:56,803 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
250611-03:44:56,802 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
250611-03:44:56,804 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
250611-03:44:56,803 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
250611-03:44:56,818 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.01533s.
250611-03:44:56,918 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 55.97905s.
250611-03:44:58,551 nipype.workflow INFO:
[Job 80] Completed (_gunzip_func0).
250611-03:44:58,553 nipype.workflow INFO:
[Job 92] Completed (_gunzip_func0).
250611-03:44:58,554 nipype.workflow INFO:
[Job 96] Completed (_gunzip_func0).
250611-03:44:58,554 nipype.workflow INFO:
[Job 9] Completed (level1_spm.gunzip_func).
250611-03:44:58,555 nipype.workflow INFO:
[Job 11] Completed (level1_spm.gunzip_func).
250611-03:44:58,556 nipype.workflow INFO:
[Job 15] Completed (level1_spm.gunzip_func).
250611-03:44:58,557 nipype.workflow INFO:
[Job 23] Completed (level1_spm.gunzip_func).
250611-03:44:58,558 nipype.workflow INFO:
[Job 25] Completed (level1_spm.gunzip_func).
250611-03:44:58,559 nipype.workflow INFO:
[Job 31] Completed (level1_spm.modelspec).
250611-03:44:58,561 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 9 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:44:58,693 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/modelspec".
250611-03:44:58,697 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/modelspec".
250611-03:44:58,709 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/modelspec".
250611-03:44:58,709 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/modelspec".
250611-03:44:58,709 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/modelspec".
250611-03:44:58,718 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/level1design".
250611-03:44:58,718 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:58,727 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
250611-03:44:58,734 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
250611-03:44:58,733 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:58,733 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/gunzip_func/mapflow/_gunzip_func0".
250611-03:44:58,735 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:58,736 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
250611-03:44:58,737 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
250611-03:44:58,737 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
250611-03:44:58,738 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
250611-03:44:58,738 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
250611-03:44:58,739 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
250611-03:44:58,739 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:58,739 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
250611-03:44:58,739 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/gunzip_func/mapflow/_gunzip_func1".
250611-03:44:58,741 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
250611-03:44:58,741 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
250611-03:44:58,742 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
250611-03:44:58,742 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
250611-03:44:58,748 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.006397s.
250611-03:44:58,758 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
250611-03:44:58,760 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
250611-03:44:58,760 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
250611-03:44:58,760 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
250611-03:44:58,767 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
250611-03:44:58,768 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.00643s.
250611-03:44:58,768 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.007777s.
250611-03:44:58,769 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.006566s.
250611-03:44:58,771 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.008559s.
250611-03:45:00,551 nipype.workflow INFO:
[Job 13] Completed (level1_spm.gunzip_func).
250611-03:45:00,553 nipype.workflow INFO:
[Job 19] Completed (level1_spm.gunzip_func).
250611-03:45:00,554 nipype.workflow INFO:
[Job 21] Completed (level1_spm.gunzip_func).
250611-03:45:00,555 nipype.workflow INFO:
[Job 27] Completed (level1_spm.modelspec).
250611-03:45:00,556 nipype.workflow INFO:
[Job 28] Completed (level1_spm.modelspec).
250611-03:45:00,557 nipype.workflow INFO:
[Job 30] Completed (level1_spm.modelspec).
250611-03:45:00,558 nipype.workflow INFO:
[Job 34] Completed (level1_spm.modelspec).
250611-03:45:00,560 nipype.workflow INFO:
[Job 35] Completed (level1_spm.modelspec).
250611-03:45:00,563 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 8 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level1_spm.level1design
250611-03:45:00,701 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/modelspec".
250611-03:45:00,708 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/modelspec".
250611-03:45:00,708 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/modelspec".
250611-03:45:00,717 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/level1design".
250611-03:45:00,717 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/level1design".
250611-03:45:00,717 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/level1design".
250611-03:45:00,717 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/level1design".
250611-03:45:00,717 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/level1design".
250611-03:45:00,747 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
250611-03:45:00,746 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
250611-03:45:00,759 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
250611-03:45:00,819 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
250611-03:45:00,829 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
250611-03:45:00,828 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
250611-03:45:00,836 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
250611-03:45:00,838 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.085987s.
250611-03:45:00,838 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.089098s.
250611-03:45:00,848 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
250611-03:45:00,859 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.072418s.
250611-03:45:02,553 nipype.workflow INFO:
[Job 29] Completed (level1_spm.modelspec).
250611-03:45:02,555 nipype.workflow INFO:
[Job 32] Completed (level1_spm.modelspec).
250611-03:45:02,557 nipype.workflow INFO:
[Job 33] Completed (level1_spm.modelspec).
250611-03:45:02,560 nipype.workflow INFO:
[MultiProc] Running 6 tasks, and 3 jobs ready. Free memory (GB): 218.28/219.48, Free processors: 26/32.
Currently running:
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
250611-03:45:02,765 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/level1design".
250611-03:45:02,765 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/level1design".
250611-03:45:02,765 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/level1design".
250611-03:45:02,815 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
250611-03:45:02,818 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
250611-03:45:02,832 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
250611-03:45:04,553 nipype.workflow INFO:
[MultiProc] Running 9 tasks, and 0 jobs ready. Free memory (GB): 217.68/219.48, Free processors: 23/32.
Currently running:
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
250611-03:47:26,596 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 145.736164s.
250611-03:47:26,596 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 143.777175s.
250611-03:47:26,597 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 143.775226s.
250611-03:47:26,596 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 145.757528s.
250611-03:47:26,597 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 143.754537s.
250611-03:47:26,597 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 145.768466s.
250611-03:47:26,630 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 145.791661s.
250611-03:47:26,636 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 147.867655s.
250611-03:47:26,657 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 145.818279s.
250611-03:47:28,575 nipype.workflow INFO:
[Job 40] Completed (level1_spm.level1design).
250611-03:47:28,577 nipype.workflow INFO:
[Job 36] Completed (level1_spm.level1design).
250611-03:47:28,578 nipype.workflow INFO:
[Job 37] Completed (level1_spm.level1design).
250611-03:47:28,579 nipype.workflow INFO:
[Job 39] Completed (level1_spm.level1design).
250611-03:47:28,580 nipype.workflow INFO:
[Job 43] Completed (level1_spm.level1design).
250611-03:47:28,580 nipype.workflow INFO:
[Job 44] Completed (level1_spm.level1design).
250611-03:47:28,581 nipype.workflow INFO:
[Job 38] Completed (level1_spm.level1design).
250611-03:47:28,582 nipype.workflow INFO:
[Job 41] Completed (level1_spm.level1design).
250611-03:47:28,584 nipype.workflow INFO:
[Job 42] Completed (level1_spm.level1design).
250611-03:47:28,585 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 9 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:47:28,714 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/level1estimate".
250611-03:47:28,714 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/level1estimate".
250611-03:47:28,719 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/level1estimate".
250611-03:47:28,726 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/level1estimate".
250611-03:47:28,726 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/level1estimate".
250611-03:47:28,727 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/level1estimate".
250611-03:47:28,735 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/level1estimate".
250611-03:47:28,735 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/level1estimate".
250611-03:47:28,740 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/level1estimate".
250611-03:47:28,780 nipype.workflow INFO:
[Node] Executing "level1estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:47:28,792 nipype.workflow INFO:
[Node] Executing "level1estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:47:28,799 nipype.workflow INFO:
[Node] Executing "level1estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:47:28,799 nipype.workflow INFO:
[Node] Executing "level1estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:47:28,800 nipype.workflow INFO:
[Node] Executing "level1estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:47:28,800 nipype.workflow INFO:
[Node] Executing "level1estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:47:28,800 nipype.workflow INFO:
[Node] Executing "level1estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:47:28,802 nipype.workflow INFO:
[Node] Executing "level1estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:47:28,809 nipype.workflow INFO:
[Node] Executing "level1estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:47:30,577 nipype.workflow INFO:
[MultiProc] Running 9 tasks, and 0 jobs ready. Free memory (GB): 217.68/219.48, Free processors: 23/32.
Currently running:
* level1_spm.level1estimate
* level1_spm.level1estimate
* level1_spm.level1estimate
* level1_spm.level1estimate
* level1_spm.level1estimate
* level1_spm.level1estimate
* level1_spm.level1estimate
* level1_spm.level1estimate
* level1_spm.level1estimate
250611-03:50:13,963 nipype.workflow INFO:
[Node] Finished "level1estimate", elapsed time 165.160491s.
250611-03:50:14,198 nipype.workflow INFO:
[Node] Finished "level1estimate", elapsed time 165.398445s.
250611-03:50:14,281 nipype.workflow INFO:
[Node] Finished "level1estimate", elapsed time 165.481257s.
250611-03:50:14,340 nipype.workflow INFO:
[Node] Finished "level1estimate", elapsed time 165.530123s.
250611-03:50:14,343 nipype.workflow INFO:
[Node] Finished "level1estimate", elapsed time 165.533084s.
250611-03:50:14,350 nipype.workflow INFO:
[Node] Finished "level1estimate", elapsed time 165.539815s.
250611-03:50:14,351 nipype.workflow INFO:
[Node] Finished "level1estimate", elapsed time 165.541257s.
250611-03:50:14,361 nipype.workflow INFO:
[Node] Finished "level1estimate", elapsed time 165.537064s.
250611-03:50:14,376 nipype.workflow INFO:
[Node] Finished "level1estimate", elapsed time 165.56737s.
250611-03:50:14,708 nipype.workflow INFO:
[Job 45] Completed (level1_spm.level1estimate).
250611-03:50:14,727 nipype.workflow INFO:
[Job 46] Completed (level1_spm.level1estimate).
250611-03:50:14,728 nipype.workflow INFO:
[Job 47] Completed (level1_spm.level1estimate).
250611-03:50:14,729 nipype.workflow INFO:
[Job 48] Completed (level1_spm.level1estimate).
250611-03:50:14,737 nipype.workflow INFO:
[Job 49] Completed (level1_spm.level1estimate).
250611-03:50:14,739 nipype.workflow INFO:
[Job 50] Completed (level1_spm.level1estimate).
250611-03:50:14,740 nipype.workflow INFO:
[Job 51] Completed (level1_spm.level1estimate).
250611-03:50:14,746 nipype.workflow INFO:
[Job 52] Completed (level1_spm.level1estimate).
250611-03:50:14,747 nipype.workflow INFO:
[Job 53] Completed (level1_spm.level1estimate).
250611-03:50:14,751 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 9 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:50:14,957 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1conest" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/level1conest".
250611-03:50:14,969 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1conest" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/level1conest".
250611-03:50:15,24 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1conest" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/level1conest".
250611-03:50:15,52 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1conest" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/level1conest".
250611-03:50:15,65 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1conest" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/level1conest".
250611-03:50:15,65 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1conest" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/level1conest".
250611-03:50:15,52 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1conest" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/level1conest".
250611-03:50:15,76 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1conest" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/level1conest".
250611-03:50:15,70 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1conest" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/level1conest".
250611-03:50:15,114 nipype.workflow INFO:
[Node] Executing "level1conest" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:50:15,121 nipype.workflow INFO:
[Node] Executing "level1conest" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:50:15,145 nipype.workflow INFO:
[Node] Executing "level1conest" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:50:15,148 nipype.workflow INFO:
[Node] Executing "level1conest" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:50:15,149 nipype.workflow INFO:
[Node] Executing "level1conest" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:50:15,149 nipype.workflow INFO:
[Node] Executing "level1conest" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:50:15,149 nipype.workflow INFO:
[Node] Executing "level1conest" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:50:15,149 nipype.workflow INFO:
[Node] Executing "level1conest" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:50:15,152 nipype.workflow INFO:
[Node] Executing "level1conest" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:50:16,709 nipype.workflow INFO:
[MultiProc] Running 9 tasks, and 0 jobs ready. Free memory (GB): 217.68/219.48, Free processors: 23/32.
Currently running:
* level1_spm.level1conest
* level1_spm.level1conest
* level1_spm.level1conest
* level1_spm.level1conest
* level1_spm.level1conest
* level1_spm.level1conest
* level1_spm.level1conest
* level1_spm.level1conest
* level1_spm.level1conest
250611-03:50:39,985 nipype.workflow INFO:
[Node] Finished "level1conest", elapsed time 24.837174s.
250611-03:50:40,7 nipype.workflow INFO:
[Node] Finished "level1conest", elapsed time 24.870494s.
250611-03:50:40,38 nipype.workflow INFO:
[Node] Finished "level1conest", elapsed time 24.885701s.
250611-03:50:40,38 nipype.workflow INFO:
[Node] Finished "level1conest", elapsed time 24.922142s.
250611-03:50:40,41 nipype.workflow INFO:
[Node] Finished "level1conest", elapsed time 24.879957s.
250611-03:50:40,46 nipype.workflow INFO:
[Node] Finished "level1conest", elapsed time 24.894699s.
250611-03:50:40,65 nipype.workflow INFO:
[Node] Finished "level1conest", elapsed time 24.905126s.
250611-03:50:40,78 nipype.workflow INFO:
[Node] Finished "level1conest", elapsed time 24.925464s.
250611-03:50:40,93 nipype.workflow INFO:
[Node] Finished "level1conest", elapsed time 24.942794s.
250611-03:50:40,736 nipype.workflow INFO:
[Job 54] Completed (level1_spm.level1conest).
250611-03:50:40,738 nipype.workflow INFO:
[Job 55] Completed (level1_spm.level1conest).
250611-03:50:40,739 nipype.workflow INFO:
[Job 56] Completed (level1_spm.level1conest).
250611-03:50:40,740 nipype.workflow INFO:
[Job 57] Completed (level1_spm.level1conest).
250611-03:50:40,741 nipype.workflow INFO:
[Job 58] Completed (level1_spm.level1conest).
250611-03:50:40,742 nipype.workflow INFO:
[Job 59] Completed (level1_spm.level1conest).
250611-03:50:40,743 nipype.workflow INFO:
[Job 60] Completed (level1_spm.level1conest).
250611-03:50:40,744 nipype.workflow INFO:
[Job 61] Completed (level1_spm.level1conest).
250611-03:50:40,745 nipype.workflow INFO:
[Job 62] Completed (level1_spm.level1conest).
250611-03:50:40,746 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 9 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:50:40,902 nipype.workflow INFO:
[Node] Setting-up "level1_spm.sinker" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_01/sinker".
250611-03:50:40,937 nipype.workflow INFO:
[Node] Setting-up "level1_spm.sinker" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_05/sinker".
250611-03:50:40,927 nipype.workflow INFO:
[Node] Setting-up "level1_spm.sinker" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_02/sinker".
250611-03:50:40,941 nipype.workflow INFO:
[Node] Setting-up "level1_spm.sinker" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_06/sinker".
250611-03:50:40,942 nipype.workflow INFO:
[Node] Setting-up "level1_spm.sinker" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_07/sinker".
250611-03:50:40,937 nipype.workflow INFO:
[Node] Setting-up "level1_spm.sinker" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_03/sinker".
250611-03:50:40,937 nipype.workflow INFO:
[Node] Setting-up "level1_spm.sinker" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_04/sinker".
250611-03:50:40,949 nipype.workflow INFO:
[Node] Setting-up "level1_spm.sinker" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_08/sinker".
250611-03:50:40,967 nipype.workflow INFO:
[Node] Setting-up "level1_spm.sinker" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm/_subject_id_09/sinker".
250611-03:50:41,26 nipype.workflow INFO:
[Node] Executing "sinker" <nipype.interfaces.io.DataSink>
250611-03:50:41,26 nipype.workflow INFO:
[Node] Executing "sinker" <nipype.interfaces.io.DataSink>
250611-03:50:41,37 nipype.workflow INFO:
[Node] Executing "sinker" <nipype.interfaces.io.DataSink>
250611-03:50:41,33 nipype.workflow INFO:
[Node] Executing "sinker" <nipype.interfaces.io.DataSink>
250611-03:50:41,37 nipype.workflow INFO:
[Node] Executing "sinker" <nipype.interfaces.io.DataSink>
250611-03:50:41,37 nipype.workflow INFO:
[Node] Executing "sinker" <nipype.interfaces.io.DataSink>
250611-03:50:41,38 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///SPM.mat
250611-03:50:41,38 nipype.workflow INFO:
[Node] Executing "sinker" <nipype.interfaces.io.DataSink>
250611-03:50:41,39 nipype.workflow INFO:
[Node] Executing "sinker" <nipype.interfaces.io.DataSink>
250611-03:50:41,39 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///SPM.mat
250611-03:50:41,40 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/06/1stLevel/_subject_id_06/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-06///SPM.mat
250611-03:50:41,41 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///SPM.mat
250611-03:50:41,41 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/spmF_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///spmF_0001.nii
250611-03:50:41,42 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///SPM.mat
250611-03:50:41,42 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/spmF_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///spmF_0001.nii
250611-03:50:41,42 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/09/1stLevel/_subject_id_09/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-09///SPM.mat
250611-03:50:41,41 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///SPM.mat
250611-03:50:41,42 nipype.workflow INFO:
[Node] Executing "sinker" <nipype.interfaces.io.DataSink>
250611-03:50:41,43 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/spmF_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///spmF_0001.nii
250611-03:50:41,43 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/spmF_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///spmF_0002.nii
250611-03:50:41,43 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/06/1stLevel/_subject_id_06/spmF_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-06///spmF_0001.nii
250611-03:50:41,44 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/spmF_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///spmF_0002.nii
250611-03:50:41,44 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/09/1stLevel/_subject_id_09/spmF_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-09///spmF_0001.nii
250611-03:50:41,44 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/spmF_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///spmF_0001.nii
250611-03:50:41,44 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/spmF_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///spmF_0003.nii
250611-03:50:41,45 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/spmF_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///spmF_0001.nii
250611-03:50:41,44 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/spmF_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///spmF_0002.nii
250611-03:50:41,45 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/spmF_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///spmF_0003.nii
250611-03:50:41,45 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/09/1stLevel/_subject_id_09/spmF_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-09///spmF_0002.nii
250611-03:50:41,45 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/06/1stLevel/_subject_id_06/spmF_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-06///spmF_0002.nii
250611-03:50:41,46 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/spmF_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///spmF_0004.nii
250611-03:50:41,45 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/spmF_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///spmF_0002.nii
250611-03:50:41,46 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/spmF_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///spmF_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/08/1stLevel/_subject_id_08/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-08///SPM.mat
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/03/1stLevel/_subject_id_03/spmF_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-03///spmF_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/spmT_0007.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///spmT_0007.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/spmT_0005.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///spmT_0005.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/spmF_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///spmF_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/spmF_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///spmF_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/06/1stLevel/_subject_id_06/spmT_0005.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-06///spmT_0005.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/spmT_0008.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///spmT_0008.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/spmT_0007.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///spmT_0007.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/03/1stLevel/_subject_id_03/spmF_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-03///spmF_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/08/1stLevel/_subject_id_08/spmF_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-08///spmF_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/06/1stLevel/_subject_id_06/spmT_0006.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-06///spmT_0006.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/spmT_0005.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///spmT_0005.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/spmT_0005.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///spmT_0005.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/spmT_0008.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///spmT_0008.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/06/1stLevel/_subject_id_06/spmT_0007.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-06///spmT_0007.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/spmT_0006.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///spmT_0006.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/spmT_0009.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///spmT_0009.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/03/1stLevel/_subject_id_03/spmF_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-03///spmF_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/spmT_0009.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///spmT_0009.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/08/1stLevel/_subject_id_08/spmF_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-08///spmF_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/spmT_0006.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///spmT_0006.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/06/1stLevel/_subject_id_06/spmT_0008.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-06///spmT_0008.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/spmT_0006.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///spmT_0006.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/spmT_0010.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///spmT_0010.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/08/1stLevel/_subject_id_08/spmF_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-08///spmF_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/spmT_0007.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///spmT_0007.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/spmT_0010.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///spmT_0010.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/03/1stLevel/_subject_id_03/spmT_0005.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-03///spmT_0005.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/06/1stLevel/_subject_id_06/spmT_0009.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-06///spmT_0009.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/spmT_0007.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///spmT_0007.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/spmT_0007.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///spmT_0007.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/08/1stLevel/_subject_id_08/spmT_0005.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-08///spmT_0005.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/ess_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///ess_0001.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/ess_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///ess_0001.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/spmT_0008.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///spmT_0008.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/06/1stLevel/_subject_id_06/spmT_0010.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-06///spmT_0010.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/03/1stLevel/_subject_id_03/spmT_0006.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-03///spmT_0006.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/spmT_0008.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///spmT_0008.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/spmT_0008.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///spmT_0008.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/08/1stLevel/_subject_id_08/spmT_0006.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-08///spmT_0006.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/ess_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///ess_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/ess_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///ess_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/06/1stLevel/_subject_id_06/ess_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-06///ess_0001.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/spmF_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///spmF_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/08/1stLevel/_subject_id_08/spmF_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-08///spmF_0001.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/spmF_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///spmF_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/spmF_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///spmF_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/03/1stLevel/_subject_id_03/spmF_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-03///spmF_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/08/1stLevel/_subject_id_08/spmF_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-08///spmF_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/ess_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///ess_0001.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/09/1stLevel/_subject_id_09/ess_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-09///ess_0001.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/ess_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///ess_0001.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/spmF_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///spmF_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/spmF_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///spmF_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/ess_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///ess_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/ess_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///ess_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/09/1stLevel/_subject_id_09/ess_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-09///ess_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/ess_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///ess_0001.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/08/1stLevel/_subject_id_08/spmF_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-08///spmF_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/ess_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///ess_0001.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/ess_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///ess_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/ess_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///ess_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/ess_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///ess_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/03/1stLevel/_subject_id_03/spmF_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-03///spmF_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/08/1stLevel/_subject_id_08/spmF_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-08///spmF_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/ess_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///ess_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/09/1stLevel/_subject_id_09/ess_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-09///ess_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/ess_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///ess_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/ess_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///ess_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/ess_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///ess_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/07/1stLevel/_subject_id_07/ess_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-07///ess_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/04/1stLevel/_subject_id_04/ess_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-04///ess_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/09/1stLevel/_subject_id_09/ess_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-09///ess_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/03/1stLevel/_subject_id_03/ess_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-03///ess_0001.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/05/1stLevel/_subject_id_05/ess_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-05///ess_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/01/1stLevel/_subject_id_01/ess_0004.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-01///ess_0004.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/08/1stLevel/_subject_id_08/ess_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-08///ess_0001.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/09/1stLevel/_subject_id_09/con_0005.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-09///con_0005.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/03/1stLevel/_subject_id_03/ess_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-03///ess_0002.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/02/1stLevel/_subject_id_02/ess_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-02///ess_0003.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/09/1stLevel/_subject_id_09/con_0006.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-09///con_0006.nii
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sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/09/1stLevel/_subject_id_09/spmF_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level1_spm_results/sub-09///spmF_0001.nii
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[Job 63] Completed (level1_spm.sinker).
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250611-03:50:42,750 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 0 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
stty: stty: stty: 'standard input''standard input''standard input': Inappropriate ioctl for device: Inappropriate ioctl for device
: Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
<networkx.classes.digraph.DiGraph at 0x7fe434e58990>
Visualize design matrix and list contrasts#
spmmat = loadmat(opj(experiment_dir, 'level1_spm_results/sub-01/SPM.mat'), struct_as_record=False)
designMatrix = spmmat['SPM'][0][0].xX[0][0].X
names =[i[0] for i in spmmat['SPM'][0][0].xX[0][0].name[0]]
names_contrast = [spmmat['SPM'][0][0].xCon[0][i].name[0] for i in range(spmmat['SPM'][0][0].xCon.shape[1])]
normed_design=designMatrix / np.abs(designMatrix).max(axis=0)
fig,ax = plt.subplots(figsize=(8,8))
plt.imshow(normed_design, aspect='auto', cmap='gray')
ax.set_ylabel('Volume id')
ax.set_xticks(np.arange(len(names)))
ax.set_xticklabels(names, rotation=90);
data = []
xCon_array = spmmat['SPM'][0][0].xCon[0]
# Iterate over each struct in the xCon array, nested loop, iterate over Vspm and Vcon to get filenames
for struct in xCon_array:
name = struct.name[0]
stat = struct.STAT[0]
c = struct.c.flatten().tolist()
vspm = struct.Vspm[0]
vcon = struct.Vcon[0]
for st in vspm:
vspm_name = st.fname[0]
for s in vcon:
vcon_name = s.fname[0]
data.append({"Name": name, "STAT": stat, "c": c, "spm_file": vspm_name, "con_file": vcon_name})
df = pd.DataFrame(data)
df_string = df.to_string(index=False)
print(df_string)
Name STAT c spm_file con_file
Average effect condition F [1, 1, 1, 1, 1, 1, 0, 0] spmF_0001.nii ess_0001.nii
Main effect Face F [1, 0, 1, 0, -1, 1, -1, 1, 0, -1, 0, -1, 0, 0, 0, 0] spmF_0002.nii ess_0002.nii
Main effect Rep F [1, -1, 1, -1, 1, -1, 0, 0] spmF_0003.nii ess_0003.nii
Interaction: Face x Rep F [1, 0, -1, 0, -1, 1, 1, -1, 0, -1, 0, 1, 0, 0, 0, 0] spmF_0004.nii ess_0004.nii
Positive effect of condition T [1, 1, 1, 1, 1, 1, 0, 0] spmT_0005.nii con_0005.nii
Positive effect of Face_1 T [1, 1, -1, -1, 0, 0, 0, 0] spmT_0006.nii con_0006.nii
Positive effect of Face_2 T [0, 0, 1, 1, -1, -1, 0, 0] spmT_0007.nii con_0007.nii
Positive effect of Rep T [1, -1, 1, -1, 1, -1, 0, 0] spmT_0008.nii con_0008.nii
Positive interaction of Face x Rep1 T [1, -1, -1, 1, 0, 0, 0, 0] spmT_0009.nii con_0009.nii
Positive interaction of Face x Rep2 T [0, 0, 1, -1, -1, 1, 0, 0] spmT_0010.nii con_0010.nii
2. Second Level Analysis#
For a factorial design with 2 factors there are 4 effects to test for: an overall effect, 2 main effects and one two-way interaction:
To test (1) the overall effect, use a [1 1 1 1 1 1] contrast for each subject and take the resulting con images of all subjects into a one-sample t-test at the second level. Then specify a [1] F-contrast (at the second level) to test for significantly non-zero BOLD responses related to the paradigm.
To test for (2) the main effect of Factor Repetition (two levels), use a [1 -1 1 -1 1 -1] contrast for each subject and take the resulting con images into a one-sample t-test at the second level.
To test for (3) the main effect of Factor Face (three levels), use two contrasts per subject [1 1 -1 -1 0 0] and [0 0 1 1 -1 -1] and take all resulting con images (two per subject) into a two-sample t-test design at the second level. Then, use a [1 0; 0 1] F-contrast to test for this main effect.
To test for (4) the interaction between Factors Face and Rep, use two contrasts per subject [1 -1 -1 1 0 0] and [0 0 1 -1 -1 1] and take all resulting con images (two per subject) into a two-sample t-test design at the second level. Use then a [1 0; 0 1] F-contrast to test for this interaction effect.
2.1 One Sample T-Test: Overall effect, main effect of repetition#
Test for significantly non-zero BOLD responses over all subjects.
con_0005: Positive effect
con_0006: Positive Effect F>S
con_0007: Positive Effect S>U
con_0008: Positive Effect of rep1>rep2
con_0009: Positive Interaction Face (F/S) x Rep
con_0010: Positive Interaction Face (S/U) x Rep
wf_2ndlevel_onesample = Workflow(name='level2_spm_1sample', base_dir=experiment_dir)
wf_2ndlevel_onesample.config["execution"]["crashfile_format"] = "txt"
contrast_id = [5, 6, 7, 8, 9, 10] #contrasts con_0005 to con_0010
l2source = Node(DataGrabber(infields= ['con'], outfields=['contrasts']), name='l2source')
l2source.inputs.sort_filelist = True
l2source.inputs.base_directory = opj(experiment_dir, 'level1_spm_results')
l2source.inputs.template = '*'
l2source.inputs.field_template = dict(
contrasts = '*/con_%04d.nii'
)
# iterate over all contrast images
l2source.iterables = [('con', contrast_id)]
# OneSampleTTest Design
onesamplettestdes = Node(interface=spm.OneSampleTTestDesign(), name="onesampttestdes")
wf_2ndlevel_onesample.connect([(l2source, onesamplettestdes, [('contrasts', 'in_files')])])
# EstimateModel - estimates the model
l2estimate = Node(spm.EstimateModel(estimation_method={'Classical':1}), name='level2estimate')
# EstimateContast - estimates group contrast
l2conestimate = Node(spm.EstimateContrast(group_contrast=True), name = 'level2conestimate')
con_1= ['Group', 'T', ['mean'], [1]]
#con_2= ['Group', 'F', [con_1]] # if an F contrast is also wanted
l2conestimate.inputs.contrasts = [con_1] # con_2, include in list if wanted
# Threshold - thresholds contrasts
level2thresh = Node(spm.Threshold(contrast_index=1,# which contrast in the SPM.mat to use --> here set for con_1: T stat
use_topo_fdr=True, # whether to use FDR over cluster extent probabilities
use_fwe_correction=False, # whether to use FWE (Bonferroni) correction for initial threshold
extent_threshold=0, # minimum cluster size in voxels
height_threshold=0.005, # value for initial thresholding (defining clusters) - voxelwise
height_threshold_type='p-value',
extent_fdr_p_threshold=0.05), # p threshold on FDR corrected cluster size probabilities
name='level2thresh')
wf_2ndlevel_onesample.connect([(onesamplettestdes, l2estimate, [('spm_mat_file', 'spm_mat_file')]),
(l2estimate, l2conestimate, [('spm_mat_file', 'spm_mat_file'),
('beta_images', 'beta_images'),
('residual_image', 'residual_image')]),
(l2conestimate, level2thresh, [('spm_mat_file', 'spm_mat_file'),
('spmT_images', 'stat_image')])
])
datasink_2nd = Node(DataSink(), name='datasink_2nd')
datasink_2nd.inputs.base_directory=opj(experiment_dir, 'level2_spm_results_1sample')
wf_2ndlevel_onesample.connect([(l2conestimate, datasink_2nd, [('spm_mat_file', '2ndLevel.@spm_mat'),
('spmT_images', '2ndLevel.@T'),
('con_images', '2ndLevel.@con')]),
(level2thresh, datasink_2nd, [('thresholded_map',
'2ndLevel.@threshold')])
])
#replace _con_ with con
subFolders = [('2ndLevel/', '')]
subFolders1 = [('_con_', 'con')]
subFolders.extend(subFolders1)
datasink_2nd.inputs.substitutions = subFolders
from IPython.display import Image
wf_2ndlevel_onesample.write_graph(graph2use='colored', format='png', simple_form=True)
Image(filename=opj(wf_2ndlevel_onesample.base_dir, wf_2ndlevel_onesample.name, 'graph.png'))
250611-03:50:46,420 nipype.workflow INFO:
Generated workflow graph: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/graph.png (graph2use=colored, simple_form=True).
wf_2ndlevel_onesample.run(plugin="MultiProc")
250611-03:50:46,455 nipype.workflow INFO:
Workflow level2_spm_1sample settings: ['check', 'execution', 'logging', 'monitoring']
250611-03:50:46,553 nipype.workflow INFO:
Running in parallel.
250611-03:50:46,556 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 6 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:50:47,56 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.l2source" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_6/l2source".
250611-03:50:47,56 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.l2source" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_5/l2source".
250611-03:50:47,57 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.l2source" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_7/l2source".
250611-03:50:47,58 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.l2source" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_8/l2source".
250611-03:50:47,60 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.l2source" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_10/l2source".
250611-03:50:47,60 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.l2source" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_9/l2source".
250611-03:50:47,65 nipype.workflow INFO:
[Node] Executing "l2source" <nipype.interfaces.io.DataGrabber>
250611-03:50:47,72 nipype.workflow INFO:
[Node] Executing "l2source" <nipype.interfaces.io.DataGrabber>
250611-03:50:47,72 nipype.workflow INFO:
[Node] Executing "l2source" <nipype.interfaces.io.DataGrabber>
250611-03:50:47,72 nipype.workflow INFO:
[Node] Executing "l2source" <nipype.interfaces.io.DataGrabber>
250611-03:50:47,75 nipype.workflow INFO:
[Node] Finished "l2source", elapsed time 0.002294s.
250611-03:50:47,76 nipype.workflow INFO:
[Node] Executing "l2source" <nipype.interfaces.io.DataGrabber>
250611-03:50:47,77 nipype.workflow INFO:
[Node] Executing "l2source" <nipype.interfaces.io.DataGrabber>
250611-03:50:47,77 nipype.workflow INFO:
[Node] Finished "l2source", elapsed time 0.001986s.
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250611-03:50:48,558 nipype.workflow INFO:
[Job 0] Completed (level2_spm_1sample.l2source).
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[Job 1] Completed (level2_spm_1sample.l2source).
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[Job 2] Completed (level2_spm_1sample.l2source).
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[Job 3] Completed (level2_spm_1sample.l2source).
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[Job 4] Completed (level2_spm_1sample.l2source).
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[Job 5] Completed (level2_spm_1sample.l2source).
250611-03:50:48,567 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 6 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:50:48,848 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.onesampttestdes" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_7/onesampttestdes".
250611-03:50:48,848 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.onesampttestdes" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_5/onesampttestdes".
250611-03:50:48,849 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.onesampttestdes" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_8/onesampttestdes".
250611-03:50:48,848 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.onesampttestdes" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_10/onesampttestdes".
250611-03:50:48,848 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.onesampttestdes" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_6/onesampttestdes".
250611-03:50:48,849 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.onesampttestdes" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_9/onesampttestdes".
250611-03:50:48,872 nipype.workflow INFO:
[Node] Executing "onesampttestdes" <nipype.interfaces.spm.model.OneSampleTTestDesign>
250611-03:50:48,873 nipype.workflow INFO:
[Node] Executing "onesampttestdes" <nipype.interfaces.spm.model.OneSampleTTestDesign>
250611-03:50:48,873 nipype.workflow INFO:
[Node] Executing "onesampttestdes" <nipype.interfaces.spm.model.OneSampleTTestDesign>
250611-03:50:48,873 nipype.workflow INFO:
[Node] Executing "onesampttestdes" <nipype.interfaces.spm.model.OneSampleTTestDesign>
250611-03:50:48,873 nipype.workflow INFO:
[Node] Executing "onesampttestdes" <nipype.interfaces.spm.model.OneSampleTTestDesign>
250611-03:50:48,875 nipype.workflow INFO:
[Node] Executing "onesampttestdes" <nipype.interfaces.spm.model.OneSampleTTestDesign>
250611-03:50:50,557 nipype.workflow INFO:
[MultiProc] Running 6 tasks, and 0 jobs ready. Free memory (GB): 218.28/219.48, Free processors: 26/32.
Currently running:
* level2_spm_1sample.onesampttestdes
* level2_spm_1sample.onesampttestdes
* level2_spm_1sample.onesampttestdes
* level2_spm_1sample.onesampttestdes
* level2_spm_1sample.onesampttestdes
* level2_spm_1sample.onesampttestdes
250611-03:51:10,479 nipype.workflow INFO:
[Node] Finished "onesampttestdes", elapsed time 21.603259s.
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250611-03:51:10,564 nipype.workflow INFO:
[Job 6] Completed (level2_spm_1sample.onesampttestdes).
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[Job 7] Completed (level2_spm_1sample.onesampttestdes).
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[Job 11] Completed (level2_spm_1sample.onesampttestdes).
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[MultiProc] Running 0 tasks, and 6 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:51:10,751 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_5/level2estimate".
250611-03:51:10,752 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_6/level2estimate".
250611-03:51:10,752 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_7/level2estimate".
250611-03:51:10,752 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_8/level2estimate".
250611-03:51:10,752 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_9/level2estimate".
250611-03:51:10,753 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_10/level2estimate".
250611-03:51:10,768 nipype.workflow INFO:
[Node] Executing "level2estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:51:10,768 nipype.workflow INFO:
[Node] Executing "level2estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:51:10,768 nipype.workflow INFO:
[Node] Executing "level2estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:51:10,769 nipype.workflow INFO:
[Node] Executing "level2estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:51:10,770 nipype.workflow INFO:
[Node] Executing "level2estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:51:10,772 nipype.workflow INFO:
[Node] Executing "level2estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:51:12,564 nipype.workflow INFO:
[MultiProc] Running 6 tasks, and 0 jobs ready. Free memory (GB): 218.28/219.48, Free processors: 26/32.
Currently running:
* level2_spm_1sample.level2estimate
* level2_spm_1sample.level2estimate
* level2_spm_1sample.level2estimate
* level2_spm_1sample.level2estimate
* level2_spm_1sample.level2estimate
* level2_spm_1sample.level2estimate
250611-03:51:33,85 nipype.workflow INFO:
[Node] Finished "level2estimate", elapsed time 22.314044s.
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250611-03:51:34,570 nipype.workflow INFO:
[Job 12] Completed (level2_spm_1sample.level2estimate).
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[Job 14] Completed (level2_spm_1sample.level2estimate).
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[Job 15] Completed (level2_spm_1sample.level2estimate).
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[Job 16] Completed (level2_spm_1sample.level2estimate).
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[Job 17] Completed (level2_spm_1sample.level2estimate).
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[MultiProc] Running 0 tasks, and 6 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:51:34,755 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2conestimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_5/level2conestimate".
250611-03:51:34,755 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2conestimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_6/level2conestimate".
250611-03:51:34,756 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2conestimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_7/level2conestimate".
250611-03:51:34,757 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2conestimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_8/level2conestimate".
250611-03:51:34,758 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2conestimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_9/level2conestimate".
250611-03:51:34,758 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2conestimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_10/level2conestimate".
250611-03:51:34,769 nipype.workflow INFO:
[Node] Executing "level2conestimate" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:51:34,769 nipype.workflow INFO:
[Node] Executing "level2conestimate" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:51:34,770 nipype.workflow INFO:
[Node] Executing "level2conestimate" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:51:34,772 nipype.workflow INFO:
[Node] Executing "level2conestimate" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:51:34,773 nipype.workflow INFO:
[Node] Executing "level2conestimate" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:51:34,774 nipype.workflow INFO:
[Node] Executing "level2conestimate" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:51:36,572 nipype.workflow INFO:
[MultiProc] Running 6 tasks, and 0 jobs ready. Free memory (GB): 218.28/219.48, Free processors: 26/32.
Currently running:
* level2_spm_1sample.level2conestimate
* level2_spm_1sample.level2conestimate
* level2_spm_1sample.level2conestimate
* level2_spm_1sample.level2conestimate
* level2_spm_1sample.level2conestimate
* level2_spm_1sample.level2conestimate
250611-03:51:58,926 nipype.workflow INFO:
[Node] Finished "level2conestimate", elapsed time 24.153184s.
250611-03:51:58,926 nipype.workflow INFO:
[Node] Finished "level2conestimate", elapsed time 24.139949s.
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[Node] Finished "level2conestimate", elapsed time 24.149742s.
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[Node] Finished "level2conestimate", elapsed time 24.152374000000002s.
250611-03:51:58,926 nipype.workflow INFO:
[Node] Finished "level2conestimate", elapsed time 24.15283s.
250611-03:51:58,926 nipype.workflow INFO:
[Node] Finished "level2conestimate", elapsed time 24.151201s.
250611-03:52:00,584 nipype.workflow INFO:
[Job 18] Completed (level2_spm_1sample.level2conestimate).
250611-03:52:00,586 nipype.workflow INFO:
[Job 19] Completed (level2_spm_1sample.level2conestimate).
250611-03:52:00,587 nipype.workflow INFO:
[Job 20] Completed (level2_spm_1sample.level2conestimate).
250611-03:52:00,588 nipype.workflow INFO:
[Job 21] Completed (level2_spm_1sample.level2conestimate).
250611-03:52:00,589 nipype.workflow INFO:
[Job 22] Completed (level2_spm_1sample.level2conestimate).
250611-03:52:00,590 nipype.workflow INFO:
[Job 23] Completed (level2_spm_1sample.level2conestimate).
250611-03:52:00,592 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 6 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:52:00,743 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2thresh" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_7/level2thresh".
250611-03:52:00,744 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2thresh" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_8/level2thresh".
250611-03:52:00,744 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2thresh" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_9/level2thresh".
250611-03:52:00,745 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2thresh" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_10/level2thresh".
250611-03:52:00,767 nipype.workflow INFO:
[Node] Executing "level2thresh" <nipype.interfaces.spm.model.Threshold>
250611-03:52:00,767 nipype.workflow INFO:
[Node] Executing "level2thresh" <nipype.interfaces.spm.model.Threshold>
250611-03:52:00,767 nipype.workflow INFO:
[Node] Executing "level2thresh" <nipype.interfaces.spm.model.Threshold>
250611-03:52:00,767 nipype.workflow INFO:
[Node] Executing "level2thresh" <nipype.interfaces.spm.model.Threshold>
250611-03:52:00,743 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2thresh" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_5/level2thresh".
250611-03:52:00,743 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.level2thresh" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_6/level2thresh".
250611-03:52:00,781 nipype.workflow INFO:
[Node] Executing "level2thresh" <nipype.interfaces.spm.model.Threshold>
250611-03:52:00,800 nipype.workflow INFO:
[Node] Executing "level2thresh" <nipype.interfaces.spm.model.Threshold>
250611-03:52:02,586 nipype.workflow INFO:
[MultiProc] Running 6 tasks, and 0 jobs ready. Free memory (GB): 218.28/219.48, Free processors: 26/32.
Currently running:
* level2_spm_1sample.level2thresh
* level2_spm_1sample.level2thresh
* level2_spm_1sample.level2thresh
* level2_spm_1sample.level2thresh
* level2_spm_1sample.level2thresh
* level2_spm_1sample.level2thresh
250611-03:52:14,526 nipype.workflow INFO:
[Node] Finished "level2thresh", elapsed time 13.755677s.
250611-03:52:14,543 nipype.workflow INFO:
[Node] Finished "level2thresh", elapsed time 13.740277s.
250611-03:52:14,553 nipype.workflow INFO:
[Node] Finished "level2thresh", elapsed time 13.781742s.
250611-03:52:14,563 nipype.workflow INFO:
[Node] Finished "level2thresh", elapsed time 13.792615s.
250611-03:52:14,564 nipype.workflow INFO:
[Node] Finished "level2thresh", elapsed time 13.779385s.
250611-03:52:14,586 nipype.workflow INFO:
[Job 24] Completed (level2_spm_1sample.level2thresh).
250611-03:52:14,587 nipype.workflow INFO:
[Job 25] Completed (level2_spm_1sample.level2thresh).
250611-03:52:14,588 nipype.workflow INFO:
[Job 26] Completed (level2_spm_1sample.level2thresh).
250611-03:52:14,589 nipype.workflow INFO:
[Job 27] Completed (level2_spm_1sample.level2thresh).
250611-03:52:14,590 nipype.workflow INFO:
[Job 28] Completed (level2_spm_1sample.level2thresh).
250611-03:52:14,591 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 5 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_1sample.level2thresh
250611-03:52:14,618 nipype.workflow INFO:
[Node] Finished "level2thresh", elapsed time 13.847536999999999s.
250611-03:52:14,743 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.datasink_2nd" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_8/datasink_2nd".
250611-03:52:14,742 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.datasink_2nd" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_7/datasink_2nd".
250611-03:52:14,751 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.datasink_2nd" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_9/datasink_2nd".
250611-03:52:14,743 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.datasink_2nd" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_5/datasink_2nd".
250611-03:52:14,743 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.datasink_2nd" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_6/datasink_2nd".
250611-03:52:14,757 nipype.workflow INFO:
[Node] Executing "datasink_2nd" <nipype.interfaces.io.DataSink>
250611-03:52:14,756 nipype.workflow INFO:
[Node] Executing "datasink_2nd" <nipype.interfaces.io.DataSink>
250611-03:52:14,759 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_8/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con8/SPM.mat
250611-03:52:14,760 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_7/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con7/SPM.mat
250611-03:52:14,761 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_8/spmT_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con8/spmT_0001.nii
250611-03:52:14,761 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_7/spmT_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con7/spmT_0001.nii
250611-03:52:14,762 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_8/con_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con8/con_0001.nii
250611-03:52:14,762 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_7/con_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con7/con_0001.nii
250611-03:52:14,764 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_8/spmT_0001_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con8/spmT_0001_thr.nii
250611-03:52:14,764 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_7/spmT_0001_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con7/spmT_0001_thr.nii
250611-03:52:14,765 nipype.workflow INFO:
[Node] Finished "datasink_2nd", elapsed time 0.006199s.
250611-03:52:14,767 nipype.workflow INFO:
[Node] Finished "datasink_2nd", elapsed time 0.007053s.
250611-03:52:14,767 nipype.workflow INFO:
[Node] Executing "datasink_2nd" <nipype.interfaces.io.DataSink>
250611-03:52:14,767 nipype.workflow INFO:
[Node] Executing "datasink_2nd" <nipype.interfaces.io.DataSink>
250611-03:52:14,768 nipype.workflow INFO:
[Node] Executing "datasink_2nd" <nipype.interfaces.io.DataSink>
250611-03:52:14,770 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_6/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con6/SPM.mat
250611-03:52:14,770 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_9/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con9/SPM.mat
250611-03:52:14,771 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_6/spmT_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con6/spmT_0001.nii
250611-03:52:14,771 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_5/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con5/SPM.mat
250611-03:52:14,772 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_9/spmT_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con9/spmT_0001.nii
250611-03:52:14,773 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_5/spmT_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con5/spmT_0001.nii
250611-03:52:14,774 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_6/con_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con6/con_0001.nii
250611-03:52:14,774 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_9/con_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con9/con_0001.nii
250611-03:52:14,774 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_5/con_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con5/con_0001.nii
250611-03:52:14,775 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_6/spmT_0001_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con6/spmT_0001_thr.nii
250611-03:52:14,775 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_5/spmT_0001_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con5/spmT_0001_thr.nii
250611-03:52:14,776 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_9/spmT_0001_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con9/spmT_0001_thr.nii
250611-03:52:14,777 nipype.workflow INFO:
[Node] Finished "datasink_2nd", elapsed time 0.006555s.
250611-03:52:14,777 nipype.workflow INFO:
[Node] Finished "datasink_2nd", elapsed time 0.006006s.
250611-03:52:14,777 nipype.workflow INFO:
[Node] Finished "datasink_2nd", elapsed time 0.007632s.
250611-03:52:16,586 nipype.workflow INFO:
[Job 29] Completed (level2_spm_1sample.level2thresh).
250611-03:52:16,587 nipype.workflow INFO:
[Job 30] Completed (level2_spm_1sample.datasink_2nd).
250611-03:52:16,588 nipype.workflow INFO:
[Job 31] Completed (level2_spm_1sample.datasink_2nd).
250611-03:52:16,589 nipype.workflow INFO:
[Job 32] Completed (level2_spm_1sample.datasink_2nd).
250611-03:52:16,590 nipype.workflow INFO:
[Job 33] Completed (level2_spm_1sample.datasink_2nd).
250611-03:52:16,591 nipype.workflow INFO:
[Job 34] Completed (level2_spm_1sample.datasink_2nd).
250611-03:52:16,593 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:52:16,737 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.datasink_2nd" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_1sample/_con_10/datasink_2nd".
250611-03:52:16,744 nipype.workflow INFO:
[Node] Executing "datasink_2nd" <nipype.interfaces.io.DataSink>
250611-03:52:16,746 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_10/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con10/SPM.mat
250611-03:52:16,749 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_10/spmT_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con10/spmT_0001.nii
250611-03:52:16,750 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_10/con_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con10/con_0001.nii
250611-03:52:16,751 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/2ndLevel/_con_10/spmT_0001_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_1sample/con10/spmT_0001_thr.nii
250611-03:52:16,753 nipype.workflow INFO:
[Node] Finished "datasink_2nd", elapsed time 0.006602s.
250611-03:52:18,586 nipype.workflow INFO:
[Job 35] Completed (level2_spm_1sample.datasink_2nd).
250611-03:52:18,588 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 0 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
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stty: stty: stty: 'standard input''standard input''standard input': Inappropriate ioctl for device
: Inappropriate ioctl for device: Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
<networkx.classes.digraph.DiGraph at 0x7fe434b8e810>
2.1 Two Sample T-Test: Main effect of face, Interaction Face x Repetition#
Main effect of face: enter the following 2 contrasts per subject into a two-sample t-test and use 1 0, 0 1 F contrast
con_0006: Positive Effect F>S
con_0007: Positive Effect S>U
Interaction Face x Rep: enter the following 2 contrasts per subject into a two-sample t-test and use 1 0, 0 1 F contrast
con_0009: Positive Interaction Face (F/S) x Rep
con_0010: Positive Interaction Face (S/U) x Rep
wf_2ndlevel_twosample = Workflow(name='level2_spm_2sample', base_dir=experiment_dir)
wf_2ndlevel_twosample.config["execution"]["crashfile_format"] = "txt"
contrast_id_1 = [6] #con_0006
contrast_id_2 = [7] #con_0007
l2source2 = Node(DataGrabber(outfields=["group_1", "group_2"]), name='l2source')
l2source2.inputs.sort_filelist = True
l2source2.inputs.contrast_id_1 = contrast_id_1
l2source2.inputs.contrast_id_2 = contrast_id_2
l2source2.inputs.base_directory = opj(experiment_dir, 'level1_spm_results')
l2source2.inputs.template = '*'
l2source2.inputs.template_args = dict(
group_1=[["contrast_id_1"]],
group_2=[["contrast_id_2"]])
l2source2.inputs.field_template = dict(
group_1 = "*/con_%04d.nii",
group_2 ="*/con_%04d.nii",
)
# SecondLevelDesign - TwoSampleTTestDesign bases Factorial Design
twosamplettestdes = Node(interface=spm.TwoSampleTTestDesign(), name="twosampttestdes")
twosamplettestdes.inputs.dependent = False # measurements dependent between levels
twosamplettestdes.inputs.unequal_variance = True # equal or unequal between groups
wf_2ndlevel_twosample.connect([(l2source2, twosamplettestdes, [('group_1', 'group1_files')]),
(l2source2, twosamplettestdes, [('group_2', 'group2_files')])])
l2estimate2 = Node(spm.EstimateModel(estimation_method={'Classical':1}), name='level2estimate')
# EstimateContast - estimates group contrast
l2conestimate2 = Node(spm.EstimateContrast(group_contrast=True), name = 'level2conestimate')
con_1 = ('Pos effect level 1','T', ['Group_{1}', 'Group_{2}'],[1, 0])
con_2 = ('Pos effect level 2','T', ['Group_{1}', 'Group_{2}'],[0, 1])
con_3 = ('Main effect', 'F', [con_1, con_2]) # main effect of face
l2conestimate2.inputs.contrasts = [con_1, con_2, con_3]
# Threshold - thresholds contrasts
level2thresh2 = MapNode(spm.Threshold(contrast_index=3,# which contrast in the SPM.mat to use --> here set for con_3: main effect
use_topo_fdr=True, # whether to use FDR over cluster extent probabilities
use_fwe_correction=False, # whether to use FWE (Bonferroni) correction for initial threshold
extent_threshold=0, # minimum cluster size in voxels
height_threshold=0.005, # value for initial thresholding (defining clusters) - voxelwise
height_threshold_type='p-value',
extent_fdr_p_threshold=0.05), # P threshold on FDR corrected cluster size probabilities
iterfield=['stat_image'],
name='level2thresh')
wf_2ndlevel_twosample.connect([(twosamplettestdes, l2estimate2, [('spm_mat_file', 'spm_mat_file')]),
(l2estimate2, l2conestimate2, [('spm_mat_file', 'spm_mat_file'),
('beta_images', 'beta_images'),
('residual_image', 'residual_image')]),
(l2conestimate2, level2thresh2, [('spm_mat_file', 'spm_mat_file'),
('spmT_images', 'stat_image')])
])
datasink_2nd_2 = Node(DataSink(), name='datasink_2nd_2')
datasink_2nd_2.inputs.base_directory=opj(experiment_dir, 'level2_spm_results_2sample')
wf_2ndlevel_twosample.connect([(l2conestimate2, datasink_2nd_2, [('spm_mat_file', '2ndLevel.@spm_mat'),
('spmT_images', '2ndLevel.@T'),
('con_images', '2ndLevel.@con')]),
(level2thresh2, datasink_2nd_2, [('thresholded_map',
'2ndLevel.@threshold')])
])
subFolders = [('2ndLevel/', 'MainEffectFace/')]
subFolders1 = [('_con_', 'con')]
subFolders2 = [('_level2thresh0', 'thresh_con1')]
subFolders3 = [('_level2thresh1', 'thresh_con2')]
subFolders4 = [('_level2thresh2', 'thresh_con3')]
subFolders.extend(subFolders1)
subFolders.extend(subFolders2)
subFolders.extend(subFolders3)
subFolders.extend(subFolders4)
datasink_2nd_2.inputs.substitutions = subFolders
from IPython.display import Image
wf_2ndlevel_twosample.write_graph(graph2use='colored', format='png', simple_form=True)
Image(filename=opj(wf_2ndlevel_twosample.base_dir, wf_2ndlevel_twosample.name, 'graph.png'))
250611-03:52:21,834 nipype.workflow INFO:
Generated workflow graph: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/graph.png (graph2use=colored, simple_form=True).
wf_2ndlevel_twosample.run(plugin="MultiProc")
250611-03:52:21,846 nipype.workflow INFO:
Workflow level2_spm_2sample settings: ['check', 'execution', 'logging', 'monitoring']
250611-03:52:21,852 nipype.workflow INFO:
Running in parallel.
250611-03:52:21,854 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:52:22,443 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.l2source" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/l2source".
250611-03:52:22,451 nipype.workflow INFO:
[Node] Executing "l2source" <nipype.interfaces.io.DataGrabber>
250611-03:52:22,457 nipype.workflow INFO:
[Node] Finished "l2source", elapsed time 0.002329s.
250611-03:52:23,856 nipype.workflow INFO:
[Job 0] Completed (level2_spm_2sample.l2source).
250611-03:52:23,861 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:52:24,123 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.twosampttestdes" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/twosampttestdes".
250611-03:52:24,135 nipype.workflow INFO:
[Node] Executing "twosampttestdes" <nipype.interfaces.spm.model.TwoSampleTTestDesign>
250611-03:52:25,856 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.twosampttestdes
250611-03:52:39,492 nipype.workflow INFO:
[Node] Finished "twosampttestdes", elapsed time 15.354154s.
250611-03:52:39,856 nipype.workflow INFO:
[Job 1] Completed (level2_spm_2sample.twosampttestdes).
250611-03:52:39,858 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:52:40,6 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.level2estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2estimate".
250611-03:52:40,17 nipype.workflow INFO:
[Node] Executing "level2estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:52:41,857 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.level2estimate
250611-03:52:59,685 nipype.workflow INFO:
[Node] Finished "level2estimate", elapsed time 19.665515s.
250611-03:52:59,858 nipype.workflow INFO:
[Job 2] Completed (level2_spm_2sample.level2estimate).
250611-03:52:59,860 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:53:00,15 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.level2conestimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2conestimate".
250611-03:53:00,28 nipype.workflow INFO:
[Node] Executing "level2conestimate" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:53:01,859 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.level2conestimate
250611-03:53:16,764 nipype.workflow INFO:
[Node] Finished "level2conestimate", elapsed time 16.733365s.
250611-03:53:17,860 nipype.workflow INFO:
[Job 3] Completed (level2_spm_2sample.level2conestimate).
250611-03:53:17,862 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:53:19,860 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 3 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:53:20,6 nipype.workflow INFO:
[Node] Setting-up "_level2thresh1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh1".
250611-03:53:20,5 nipype.workflow INFO:
[Node] Setting-up "_level2thresh0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh0".
250611-03:53:20,9 nipype.workflow INFO:
[Node] Setting-up "_level2thresh2" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh2".
250611-03:53:20,23 nipype.workflow INFO:
[Node] Executing "_level2thresh1" <nipype.interfaces.spm.model.Threshold>
250611-03:53:20,24 nipype.workflow INFO:
[Node] Executing "_level2thresh0" <nipype.interfaces.spm.model.Threshold>
250611-03:53:20,26 nipype.workflow INFO:
[Node] Executing "_level2thresh2" <nipype.interfaces.spm.model.Threshold>
250611-03:53:21,861 nipype.workflow INFO:
[MultiProc] Running 3 tasks, and 0 jobs ready. Free memory (GB): 218.88/219.48, Free processors: 29/32.
Currently running:
* _level2thresh2
* _level2thresh1
* _level2thresh0
250611-03:53:32,15 nipype.workflow INFO:
[Node] Finished "_level2thresh0", elapsed time 11.988025s.
250611-03:53:32,80 nipype.workflow INFO:
[Node] Finished "_level2thresh2", elapsed time 12.050992s.
250611-03:53:32,102 nipype.workflow INFO:
[Node] Finished "_level2thresh1", elapsed time 12.075116s.
250611-03:53:33,861 nipype.workflow INFO:
[Job 6] Completed (_level2thresh0).
250611-03:53:33,862 nipype.workflow INFO:
[Job 7] Completed (_level2thresh1).
250611-03:53:33,863 nipype.workflow INFO:
[Job 8] Completed (_level2thresh2).
250611-03:53:33,864 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:53:34,20 nipype.workflow INFO:
[Node] Setting-up "_level2thresh0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh0".
250611-03:53:34,26 nipype.workflow INFO:
[Node] Cached "_level2thresh0" - collecting precomputed outputs
250611-03:53:34,27 nipype.workflow INFO:
[Node] "_level2thresh0" found cached.
250611-03:53:34,29 nipype.workflow INFO:
[Node] Setting-up "_level2thresh1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh1".
250611-03:53:34,31 nipype.workflow INFO:
[Node] Cached "_level2thresh1" - collecting precomputed outputs
250611-03:53:34,32 nipype.workflow INFO:
[Node] "_level2thresh1" found cached.
250611-03:53:34,34 nipype.workflow INFO:
[Node] Setting-up "_level2thresh2" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh2".
250611-03:53:34,35 nipype.workflow INFO:
[Node] Cached "_level2thresh2" - collecting precomputed outputs
250611-03:53:34,36 nipype.workflow INFO:
[Node] "_level2thresh2" found cached.
250611-03:53:35,861 nipype.workflow INFO:
[Job 4] Completed (level2_spm_2sample.level2thresh).
250611-03:53:35,863 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:53:36,10 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.datasink_2nd_2" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/datasink_2nd_2".
250611-03:53:36,23 nipype.workflow INFO:
[Node] Executing "datasink_2nd_2" <nipype.interfaces.io.DataSink>
250611-03:53:36,25 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/MainEffectFace/SPM.mat
250611-03:53:36,27 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/spmT_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/MainEffectFace/spmT_0001.nii
250611-03:53:36,28 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/spmT_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/MainEffectFace/spmT_0002.nii
250611-03:53:36,28 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/spmF_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/MainEffectFace/spmF_0003.nii
250611-03:53:36,30 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/con_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/MainEffectFace/con_0001.nii
250611-03:53:36,31 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/con_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/MainEffectFace/con_0002.nii
250611-03:53:36,32 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/ess_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/MainEffectFace/ess_0003.nii
250611-03:53:36,33 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh0/spmT_0001_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/MainEffectFace/thresh_con1/spmT_0001_thr.nii
250611-03:53:36,35 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh1/spmT_0002_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/MainEffectFace/thresh_con2/spmT_0002_thr.nii
250611-03:53:36,36 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh2/spmF_0003_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/MainEffectFace/thresh_con3/spmF_0003_thr.nii
250611-03:53:36,38 nipype.workflow INFO:
[Node] Finished "datasink_2nd_2", elapsed time 0.012245s.
250611-03:53:37,862 nipype.workflow INFO:
[Job 5] Completed (level2_spm_2sample.datasink_2nd_2).
250611-03:53:37,864 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 0 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
<networkx.classes.digraph.DiGraph at 0x7fe432156e90>
contrast_id_1 = [9] #con_0009
contrast_id_2 = [10] #con_0010
l2source2.inputs.contrast_id_1 = contrast_id_1
l2source2.inputs.contrast_id_2 = contrast_id_2
subFolders = [('2ndLevel/', 'InteractionFace_Repetition/')]
subFolders.extend(subFolders1)
subFolders.extend(subFolders2)
subFolders.extend(subFolders3)
subFolders.extend(subFolders4)
datasink_2nd_2.inputs.substitutions = subFolders
wf_2ndlevel_twosample.run(plugin="MultiProc")
250611-03:53:39,933 nipype.workflow INFO:
Workflow level2_spm_2sample settings: ['check', 'execution', 'logging', 'monitoring']
250611-03:53:39,940 nipype.workflow INFO:
Running in parallel.
250611-03:53:39,942 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:53:40,88 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.l2source".
250611-03:53:40,478 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.l2source" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/l2source".
250611-03:53:40,483 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.l2source".
250611-03:53:40,488 nipype.workflow INFO:
[Node] Executing "l2source" <nipype.interfaces.io.DataGrabber>
250611-03:53:40,493 nipype.workflow INFO:
[Node] Finished "l2source", elapsed time 0.001919s.
250611-03:53:41,944 nipype.workflow INFO:
[Job 0] Completed (level2_spm_2sample.l2source).
250611-03:53:41,949 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:53:42,201 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.twosampttestdes".
250611-03:53:42,207 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.twosampttestdes" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/twosampttestdes".
250611-03:53:42,212 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.twosampttestdes".
250611-03:53:42,220 nipype.workflow INFO:
[Node] Executing "twosampttestdes" <nipype.interfaces.spm.model.TwoSampleTTestDesign>
250611-03:53:43,943 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.twosampttestdes
250611-03:53:57,524 nipype.workflow INFO:
[Node] Finished "twosampttestdes", elapsed time 15.301297s.
250611-03:53:57,943 nipype.workflow INFO:
[Job 1] Completed (level2_spm_2sample.twosampttestdes).
250611-03:53:57,945 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:53:58,91 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.level2estimate".
250611-03:53:58,96 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.level2estimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2estimate".
250611-03:53:58,100 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.level2estimate".
250611-03:53:58,110 nipype.workflow INFO:
[Node] Executing "level2estimate" <nipype.interfaces.spm.model.EstimateModel>
250611-03:53:59,944 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.level2estimate
250611-03:54:17,970 nipype.workflow INFO:
[Node] Finished "level2estimate", elapsed time 19.856919s.
250611-03:54:19,945 nipype.workflow INFO:
[Job 2] Completed (level2_spm_2sample.level2estimate).
250611-03:54:19,947 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:54:20,93 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.level2conestimate".
250611-03:54:20,100 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.level2conestimate" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2conestimate".
250611-03:54:20,104 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.level2conestimate".
250611-03:54:20,113 nipype.workflow INFO:
[Node] Executing "level2conestimate" <nipype.interfaces.spm.model.EstimateContrast>
250611-03:54:21,946 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.level2conestimate
250611-03:54:37,127 nipype.workflow INFO:
[Node] Finished "level2conestimate", elapsed time 17.011307s.
250611-03:54:37,947 nipype.workflow INFO:
[Job 3] Completed (level2_spm_2sample.level2conestimate).
250611-03:54:37,949 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:54:39,947 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 3 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:54:40,94 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh0".
250611-03:54:40,96 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh1".
250611-03:54:40,98 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh2".
250611-03:54:40,99 nipype.workflow INFO:
[Node] Setting-up "_level2thresh0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh0".
250611-03:54:40,103 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh0".
250611-03:54:40,101 nipype.workflow INFO:
[Node] Setting-up "_level2thresh1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh1".
250611-03:54:40,103 nipype.workflow INFO:
[Node] Setting-up "_level2thresh2" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh2".
250611-03:54:40,107 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh1".
250611-03:54:40,108 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh2".
250611-03:54:40,111 nipype.workflow INFO:
[Node] Executing "_level2thresh0" <nipype.interfaces.spm.model.Threshold>
250611-03:54:40,114 nipype.workflow INFO:
[Node] Executing "_level2thresh1" <nipype.interfaces.spm.model.Threshold>
250611-03:54:40,116 nipype.workflow INFO:
[Node] Executing "_level2thresh2" <nipype.interfaces.spm.model.Threshold>
250611-03:54:41,948 nipype.workflow INFO:
[MultiProc] Running 3 tasks, and 0 jobs ready. Free memory (GB): 218.88/219.48, Free processors: 29/32.
Currently running:
* _level2thresh2
* _level2thresh1
* _level2thresh0
250611-03:54:51,718 nipype.workflow INFO:
[Node] Finished "_level2thresh1", elapsed time 11.600829s.
250611-03:54:51,793 nipype.workflow INFO:
[Node] Finished "_level2thresh2", elapsed time 11.674795s.
250611-03:54:51,825 nipype.workflow INFO:
[Node] Finished "_level2thresh0", elapsed time 11.710796s.
250611-03:54:51,948 nipype.workflow INFO:
[Job 6] Completed (_level2thresh0).
250611-03:54:51,949 nipype.workflow INFO:
[Job 7] Completed (_level2thresh1).
250611-03:54:51,950 nipype.workflow INFO:
[Job 8] Completed (_level2thresh2).
250611-03:54:51,951 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:54:52,98 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.level2thresh".
250611-03:54:52,106 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.level2thresh".
250611-03:54:52,117 nipype.workflow INFO:
[Node] Setting-up "_level2thresh0" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh0".
250611-03:54:52,120 nipype.workflow INFO:
[Node] Cached "_level2thresh0" - collecting precomputed outputs
250611-03:54:52,122 nipype.workflow INFO:
[Node] "_level2thresh0" found cached.
250611-03:54:52,124 nipype.workflow INFO:
[Node] Setting-up "_level2thresh1" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh1".
250611-03:54:52,126 nipype.workflow INFO:
[Node] Cached "_level2thresh1" - collecting precomputed outputs
250611-03:54:52,127 nipype.workflow INFO:
[Node] "_level2thresh1" found cached.
250611-03:54:52,130 nipype.workflow INFO:
[Node] Setting-up "_level2thresh2" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh2".
250611-03:54:52,132 nipype.workflow INFO:
[Node] Cached "_level2thresh2" - collecting precomputed outputs
250611-03:54:52,133 nipype.workflow INFO:
[Node] "_level2thresh2" found cached.
250611-03:54:53,948 nipype.workflow INFO:
[Job 4] Completed (level2_spm_2sample.level2thresh).
250611-03:54:53,950 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
250611-03:54:54,97 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.datasink_2nd_2".
250611-03:54:54,102 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.datasink_2nd_2" in "/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_2sample/datasink_2nd_2".
250611-03:54:54,107 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.datasink_2nd_2".
250611-03:54:54,113 nipype.workflow INFO:
[Node] Executing "datasink_2nd_2" <nipype.interfaces.io.DataSink>
250611-03:54:54,116 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/SPM.mat -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/SPM.mat
250611-03:54:54,117 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/spmT_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/spmT_0001.nii
250611-03:54:54,118 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/spmT_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/spmT_0002.nii
250611-03:54:54,119 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/spmF_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/spmF_0003.nii
250611-03:54:54,120 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/con_0001.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/con_0001.nii
250611-03:54:54,122 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/con_0002.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/con_0002.nii
250611-03:54:54,123 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/ess_0003.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/ess_0003.nii
250611-03:54:54,124 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh0/spmT_0001_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/thresh_con1/spmT_0001_thr.nii
250611-03:54:54,125 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh1/spmT_0002_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/thresh_con2/spmT_0002_thr.nii
250611-03:54:54,126 nipype.interface INFO:
sub: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh2/spmF_0003_thr.nii -> /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/thresh_con3/spmF_0003_thr.nii
250611-03:54:54,128 nipype.workflow INFO:
[Node] Finished "datasink_2nd_2", elapsed time 0.01188s.
250611-03:54:55,948 nipype.workflow INFO:
[Job 5] Completed (level2_spm_2sample.datasink_2nd_2).
250611-03:54:55,951 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 0 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
<networkx.classes.digraph.DiGraph at 0x7fe43229b0d0>
Results#
The group analysis was only done on N=9 subjects, a voxel-wise threshold of p<0.005 was chosen and a cluster-wise FDR threshold of p<0.05 to correct for multiple comparisons.
Look at the positive effect using the plot_stat_map plotting method of nilearn#
plotting.plot_stat_map(opj(experiment_dir, 'level2_spm_results_1sample/con5/spmT_0001_thr.nii'), title='Positive Effect', dim=1, display_mode='y', cut_coords=(-45, -30, -15, 0, 15), threshold=2, vmax=8, cmap='viridis');
/home/jovyan/conda-environments/ipyniivue-dev/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:1416: UserWarning: Non-finite values detected. These values will be replaced with zeros.
safe_get_data(stat_map_img, ensure_finite=True),
Look at the results using the glass brain plotting method of nilearn#
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con5/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive effect');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con6/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive effect Famous>Unfamiliar');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con7/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive effect Unfamiliar>Scambled');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con8/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive Effect of rep1>rep2');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con9/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive Interaction Face (Famous/Unfamiliar) x Rep');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con10/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive Interaction Face (Unfamiliar/Scrambled) x Rep');
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:1586: UserWarning: Non-finite values detected. These values will be replaced with zeros.
safe_get_data(stat_map_img, ensure_finite=True),
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:313: UserWarning: empty mask
ims = self._map_show(img, type="imshow", threshold=threshold, **kwargs)
Visualize main effects face and interaction face x repetition#
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_2sample/MainEffectFace/thresh_con3/spmF_0003_thr.nii'),
colorbar=True, display_mode='lyrz', black_bg=True, vmax=10, title='Main effect face');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_2sample/InteractionFace_Repetition/thresh_con3/spmF_0003_thr.nii'),
colorbar=True, display_mode='lyrz', black_bg=True, vmax=10, title='Interaction face x repetition');
