https://github.com/ViCCo-Group/THINGS-data
Tip revision: 2d95c15d3a2cc5984ffd4a9a2c4ad3496847ca9d authored by Oliver Contier on 28 February 2023, 15:15:53 UTC
fixed howtocite
fixed howtocite
Tip revision: 2d95c15
requirements.txt
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=main
_openmp_mutex=4.5=1_gnu
argon2-cffi=20.1.0=py38h27cfd23_1
astropy=4.2=pypi_0
async_generator=1.10=pyhd3eb1b0_0
attrs=20.2.0=pypi_0
autograd=1.4=pypi_0
backcall=0.2.0=pyhd3eb1b0_0
bids-validator=1.5.6=pypi_0
blas=1.0=mkl
bleach=3.2.1=pypi_0
bottleneck=1.3.2=py38heb32a55_1
brotli=1.0.9=he6710b0_2
ca-certificates=2021.10.8=ha878542_0
certifi=2021.10.8=py38h578d9bd_2
cffi=1.14.3=pypi_0
chardet=3.0.4=pypi_0
ci-info=0.2.0=pypi_0
click=7.1.2=pypi_0
cma=2.7.0=pypi_0
cmasher=1.6.3=pypi_0
colorspacious=1.1.2=pypi_0
cycler=0.10.0=pypi_0
cython=0.29.21=pypi_0
dataclasses=0.6=pypi_0
dbus=1.13.18=hb2f20db_0
debugpy=1.4.1=py38h295c915_0
decorator=5.1.0=pyhd3eb1b0_0
defusedxml=0.6.0=pypi_0
docopt=0.6.2=pypi_0
e13tools=0.9.6=pypi_0
entrypoints=0.3=pypi_0
etelemetry=0.2.2=pypi_0
expat=2.4.1=h2531618_2
filelock=3.0.12=pypi_0
font-ttf-dejavu-sans-mono=2.37=hab24e00_0
font-ttf-inconsolata=3.000=h77eed37_0
font-ttf-source-code-pro=2.038=h77eed37_0
font-ttf-ubuntu=0.83=hab24e00_0
fontconfig=2.13.1=h6c09931_0
fonts-conda-forge=1=0
fonttools=4.25.0=pyhd3eb1b0_0
fracridge=1.3.3.dev2064374897=dev_0
freetype=2.11.0=h70c0345_0
fslpy=3.3.3=pypi_0
future=0.18.2=pypi_0
giflib=5.2.1=h7b6447c_0
glib=2.69.1=h5202010_0
gst-plugins-base=1.14.0=h8213a91_2
gstreamer=1.14.0=h28cd5cc_2
h5py=2.10.0=pypi_0
himalaya=0.4.0=pypi_0
html5lib=1.1=pypi_0
icu=58.2=he6710b0_3
idna=2.10=pypi_0
imageio=2.9.0=pypi_0
importlib-metadata=4.8.1=py38h06a4308_0
importlib_metadata=4.8.1=hd3eb1b0_0
intel-openmp=2021.4.0=h06a4308_3561
ipdb=0.13.4=pypi_0
ipykernel=5.3.4=pypi_0
ipython=7.18.1=pypi_0
ipython_genutils=0.2.0=pyhd3eb1b0_1
ipywidgets=7.5.1=pypi_0
isodate=0.6.0=pypi_0
jedi=0.18.0=py38h06a4308_1
jinja2=2.11.2=pypi_0
joblib=0.17.0=pypi_0
jpeg=9d=h7f8727e_0
jsonschema=3.2.0=pyhd3eb1b0_2
jupyter=1.0.0=py38_7
jupyter-client=6.1.7=pypi_0
jupyter-console=6.2.0=pypi_0
jupyter-contrib-core=0.3.3=pypi_0
jupyter-contrib-nbextensions=0.5.1=pypi_0
jupyter-core=4.6.3=pypi_0
jupyter-highlight-selected-word=0.2.0=pypi_0
jupyter-latex-envs=1.4.6=pypi_0
jupyter-nbextensions-configurator=0.4.1=pypi_0
jupyter_client=7.0.1=pyhd3eb1b0_0
jupyter_console=6.4.0=pyhd3eb1b0_0
jupyter_core=4.9.1=py38h06a4308_0
jupyterlab_pygments=0.1.2=py_0
jupyterlab_widgets=1.0.0=pyhd3eb1b0_1
jupyterthemes=0.20.0=py_1
kaleido-core=0.2.1=h3644ca4_0
kiwisolver=1.3.1=py38h2531618_0
lcms2=2.12=h3be6417_0
ld_impl_linux-64=2.35.1=h7274673_9
lesscpy=0.13.0=py_1
libffi=3.3=he6710b0_2
libgcc-ng=9.3.0=h5101ec6_17
libgfortran-ng=7.5.0=ha8ba4b0_17
libgfortran4=7.5.0=ha8ba4b0_17
libgomp=9.3.0=h5101ec6_17
libllvm11=11.1.0=h3826bc1_0
libpng=1.6.37=hbc83047_0
libsodium=1.0.18=h7b6447c_0
libstdcxx-ng=9.3.0=hd4cf53a_17
libtiff=4.2.0=h85742a9_0
libuuid=1.0.3=h7f8727e_2
libwebp=1.2.0=h89dd481_0
libwebp-base=1.2.0=h27cfd23_0
libxcb=1.14=h7b6447c_0
libxml2=2.9.12=h03d6c58_0
llvmlite=0.35.0=pypi_0
lxml=4.5.2=pypi_0
lz4-c=1.9.3=h295c915_1
markupsafe=1.1.1=pypi_0
mathjax=2.7.7=0
matplotlib=3.3.2=pypi_0
matplotlib-base=3.4.3=py38hbbc1b5f_0
matplotlib-inline=0.1.2=pyhd3eb1b0_2
mistune=0.8.4=py38h7b6447c_1000
mkl=2021.4.0=h06a4308_640
mkl-service=2.4.0=py38h7f8727e_0
mkl_fft=1.3.1=py38hd3c417c_0
mkl_random=1.2.2=py38h51133e4_0
munkres=1.1.4=py_0
nbclient=0.5.0=pypi_0
nbconvert=6.0.7=pypi_0
nbformat=5.0.7=pypi_0
ncurses=6.3=h7f8727e_2
nest-asyncio=1.4.1=pypi_0
networkx=2.1=pypi_0
neurodocker=0.7.0=pypi_0
nibabel=3.1.1=pypi_0
niflow-nipype1-workflows=0.0.4=pypi_0
nilearn=0.7.0=pypi_0
nipype=1.5.1=pypi_0
notebook=6.1.4=pypi_0
nspr=4.33=h295c915_0
nss=3.74=h0370c37_0
num2words=0.5.10=pypi_0
numba=0.52.0=pypi_0
numexpr=2.7.1=pypi_0
numpy=1.20.2=pypi_0
numpy-base=1.20.1=py38h7d8b39e_0
olefile=0.46=pyhd3eb1b0_0
opencv-python=4.5.2.52=pypi_0
openssl=1.1.1n=h7f8727e_0
packaging=20.4=pypi_0
pandas=1.3.4=py38h8c16a72_0
pandocfilters=1.4.2=pypi_0
parso=0.8.2=pyhd3eb1b0_0
patsy=0.5.2=pypi_0
pcre=8.45=h295c915_0
pexpect=4.8.0=pyhd3eb1b0_3
pickleshare=0.7.5=pyhd3eb1b0_1003
pillow=7.2.0=pypi_0
pip=20.2.3=py38_0
plotly=5.7.0=pypi_0
ply=3.11=py38_0
prometheus-client=0.8.0=pypi_0
prometheus_client=0.11.0=pyhd3eb1b0_0
prompt-toolkit=3.0.20=pyhd3eb1b0_0
prompt_toolkit=3.0.20=hd3eb1b0_0
prov=1.5.3=pypi_0
ptyprocess=0.7.0=pyhd3eb1b0_2
pybids=0.12.2=pypi_0
pycortex=1.2.0=pypi_0
pycparser=2.20=pypi_0
pydot=1.4.1=pypi_0
pydotplus=2.0.2=pypi_0
pyerfa=1.7.1.1=pypi_0
pygments=2.7.1=pypi_0
pyparsing=3.0.4=pyhd3eb1b0_0
pyqt=5.9.2=py38h05f1152_4
pyrsistent=0.17.3=pypi_0
python=3.8.12=h12debd9_0
python-dateutil=2.8.2=pyhd3eb1b0_0
python-kaleido=0.2.1=pyhd8ed1ab_0
python_abi=3.8=2_cp38
pytz=2021.3=pyhd3eb1b0_0
pywavelets=1.1.1=pypi_0
pyyaml=5.3.1=pypi_0
pyzmq=19.0.2=pypi_0
qt=5.9.7=h5867ecd_1
qtconsole=4.7.7=pypi_0
qtpy=1.9.0=pypi_0
rdflib=5.0.0=pypi_0
readline=8.1=h27cfd23_0
requests=2.24.0=pypi_0
scikit-image=0.18.1=pypi_0
scikit-learn=0.23.2=pypi_0
scipy=1.6.2=pypi_0
seaborn=0.11.0=py_0
send2trash=1.5.0=pypi_0
setuptools=51.0.0=pypi_0
setuptools-scm=5.0.1=pypi_0
shapely=1.7.1=pypi_0
simplejson=3.17.2=pypi_0
sip=4.19.13=py38he6710b0_0
six=1.16.0=pyhd3eb1b0_0
sklearn=0.0=pypi_0
sqlalchemy=1.3.19=pypi_0
sqlite=3.38.2=hc218d9a_0
statsmodels=0.13.1=pypi_0
tables=3.7.0=pypi_0
tbb=2021.4.0=hd09550d_0
tdqm=0.0.1=pypi_0
tenacity=8.0.1=pypi_0
terminado=0.9.1=pypi_0
testpath=0.4.4=pypi_0
threadpoolctl=2.2.0=pyh0d69192_0
tifffile=2021.4.8=pypi_0
tk=8.6.11=h1ccaba5_0
tornado=6.1=py38h27cfd23_0
tqdm=4.56.0=pypi_0
traitlets=5.0.4=pypi_0
traits=6.1.1=pypi_0
urllib3=1.25.10=pypi_0
wcwidth=0.2.5=pyhd3eb1b0_0
webencodings=0.5.1=pypi_0
wget=3.2=pypi_0
wheel=0.36.2=pypi_0
widgetsnbextension=3.5.1=py38_0
xz=5.2.5=h7b6447c_0
zeromq=4.3.4=h2531618_0
zipp=3.6.0=pyhd3eb1b0_0
zlib=1.2.11=h7b6447c_3
zstd=1.4.9=haebb681_0