Download Data

Download Data#

For the tutorials in this book, we will use partially-preprocessed data from two open multi-echo datasets: Euskalibur and Cambridge. For more information about these datasets, see Open Multi-Echo Datasets.

import os
from pprint import pprint

from tedana import datasets

DATA_DIR = os.path.abspath("../data")

euskalibur_dataset = datasets.fetch_euskalibur(
    n_subjects=5,
    low_resolution=False,
    data_dir=DATA_DIR,
)
pprint(euskalibur_dataset)

cambridge_dataset = datasets.fetch_cambridge(
    n_subjects=5,
    low_resolution=False,
    data_dir=DATA_DIR,
)
pprint(cambridge_dataset)

For now, we will use repo2data to download some data we’re storing on Google Drive.

import os

from repo2data.repo2data import Repo2Data

# Install the data if running locally, or point to cached data if running on neurolibre
DATA_REQ_FILE = os.path.join("../binder/data_requirement.json")

# Download data
repo2data = Repo2Data(DATA_REQ_FILE)
data_path = repo2data.install()
data_path = os.path.abspath(data_path[0])
---- repo2data starting ----
/opt/hostedtoolcache/Python/3.10.18/x64/lib/python3.10/site-packages/repo2data
Config from file :
../binder/data_requirement.json
Destination:
./../data/multi-echo-data-analysis

Info : Starting to download from Google drive https://drive.google.com/uc?id=1SVPP1vd2UobKf1djztpi-DcYAFOFXQtF ...
Downloading...
From (original): https://drive.google.com/uc?id=1SVPP1vd2UobKf1djztpi-DcYAFOFXQtF
From (redirected): https://drive.google.com/uc?id=1SVPP1vd2UobKf1djztpi-DcYAFOFXQtF&confirm=t&uuid=fc6a3c27-aa9d-454c-825c-c7a5fa690a0e
To: /home/runner/work/multi-echo-data-analysis/multi-echo-data-analysis/data/multi-echo-data-analysis/sub-04570.zip

  0%|          | 0.00/315M [00:00<?, ?B/s]
  2%|▏         | 4.72M/315M [00:00<00:09, 33.6MB/s]
  7%|▋         | 21.5M/315M [00:00<00:04, 69.3MB/s]
  9%|▉         | 28.3M/315M [00:00<00:04, 65.8MB/s]
 13%|█▎        | 40.4M/315M [00:00<00:03, 79.0MB/s]
 16%|█▌        | 48.8M/315M [00:00<00:03, 73.9MB/s]
 18%|█▊        | 56.6M/315M [00:00<00:03, 66.2MB/s]
 22%|██▏       | 67.6M/315M [00:00<00:03, 73.3MB/s]
 24%|██▍       | 76.5M/315M [00:01<00:03, 77.1MB/s]
 29%|██▉       | 91.8M/315M [00:01<00:02, 97.1MB/s]
 33%|███▎      | 102M/315M [00:01<00:02, 88.0MB/s] 
 36%|███▌      | 114M/315M [00:01<00:02, 84.1MB/s]
 40%|████      | 126M/315M [00:01<00:02, 80.5MB/s]
 46%|████▋     | 146M/315M [00:01<00:01, 107MB/s] 
 50%|█████     | 158M/315M [00:01<00:01, 81.5MB/s]
 54%|█████▍    | 170M/315M [00:02<00:01, 87.5MB/s]
 59%|█████▉    | 185M/315M [00:02<00:01, 100MB/s] 
 63%|██████▎   | 197M/315M [00:02<00:01, 101MB/s]
 67%|██████▋   | 210M/315M [00:02<00:01, 98.0MB/s]
 70%|███████   | 221M/315M [00:02<00:01, 91.7MB/s]
 75%|███████▌  | 237M/315M [00:02<00:00, 108MB/s] 
 79%|███████▉  | 249M/315M [00:02<00:00, 88.2MB/s]
 84%|████████▎ | 263M/315M [00:02<00:00, 100MB/s] 
 87%|████████▋ | 274M/315M [00:03<00:00, 103MB/s]
 91%|█████████ | 286M/315M [00:03<00:00, 79.4MB/s]
 97%|█████████▋| 304M/315M [00:03<00:00, 101MB/s] 
100%|██████████| 315M/315M [00:03<00:00, 87.1MB/s]
INFO patool: Extracting ./../data/multi-echo-data-analysis/sub-04570.zip ...
INFO patool: running /usr/bin/7z x -y -p- -aou -o./../data/multi-echo-data-analysis -- ./../data/multi-echo-data-analysis/sub-04570.zip
INFO patool: ... ./../data/multi-echo-data-analysis/sub-04570.zip extracted to `./../data/multi-echo-data-analysis'.
Info : sub-04570.zip Decompressed