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GitHub / ocean-data-challenges / 2022a_SWOT_karin_error_filtering

A challenge on the SWOT Karin instrumental error filtering organised by Datlas, IMT Altlantique and CLS.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ocean-data-challenges%2F2022a_SWOT_karin_error_filtering

Stars: 1
Forks: 3
Open Issues: 2

License: mit
Language: Jupyter Notebook
Repo Size: 330 MB
Dependencies: 199

Created: over 1 year ago
Updated: 2 months ago
Last pushed: 8 months ago
Last synced: 2 months ago

Files

Readme

Dependencies

environment.yml conda

requirements.txt pypi

asttokens =2.0.5=pyhd3eb1b0_0
backcall =0.2.0=pyhd3eb1b0_0
bleach =5.0.1=pyhd8ed1ab_0
bokeh =2.4.3=pyhd8ed1ab_3
brotli =1.0.9=h166bdaf_7
brotli-bin =1.0.9=h166bdaf_7
brotlipy =0.7.0=py39hb9d737c_1004
bzip2 =1.0.8=h7f98852_4
c-ares =1.18.1=h7f98852_0
ca-certificates =2022.6.15=ha878542_0
cartopy =0.20.3=py39hed214b2_2
certifi =2022.6.15=pyhd8ed1ab_1
cffi =1.15.1=py39h74dc2b5_0
cftime =1.6.1=py39hd257fcd_0
charset-normalizer =2.1.1=pyhd8ed1ab_0
click =8.1.3=py39hf3d152e_0
cloudpickle =2.1.0=pyhd8ed1ab_0
colorama =0.4.5=pyhd8ed1ab_0
colorcet =3.0.0=pyhd8ed1ab_0
cryptography =37.0.4=py39hd97740a_0
curl =7.83.1=h7bff187_0
cycler =0.11.0=pyhd8ed1ab_0
cytoolz =0.12.0=py39hb9d737c_0
dask =2022.8.1=pyhd8ed1ab_2
dask-core =2022.8.1=pyhd8ed1ab_0
datashader =0.14.2=pyh6c4a22f_0
datashape =0.5.4=py_1
dbus =1.13.6=he372182_0
debugpy =1.5.1=py39h295c915_0
decorator =5.1.1=pyhd3eb1b0_0
distributed =2022.8.1=pyhd8ed1ab_2
entrypoints =0.4=pyhd8ed1ab_0
executing =0.8.3=pyhd3eb1b0_0
expat =2.4.8=h27087fc_0
fontconfig =2.14.0=h8e229c2_0
fonttools =4.37.1=py39hb9d737c_0
freetype =2.12.1=hca18f0e_0
fsspec =2022.7.1=pyhd8ed1ab_0
geopandas-base =0.11.1=pyha770c72_0
geos =3.11.0=h27087fc_0
geoviews =1.9.5=pyhd8ed1ab_0
geoviews-core =1.9.5=pyha770c72_0
glib =2.69.1=h4ff587b_1
gsl =2.7=he838d99_0
gst-plugins-base =1.14.0=hbbd80ab_1
gstreamer =1.14.0=h28cd5cc_2
hdf4 =4.2.15=h9772cbc_4
hdf5 =1.12.2=nompi_h2386368_100
heapdict =1.0.1=py_0
holoviews =1.15.0=pyhd8ed1ab_0
hvplot =0.8.1=pyhd8ed1ab_0
icu =58.2=hf484d3e_1000
idna =3.3=pyhd8ed1ab_0
importlib-metadata =4.11.4=py39hf3d152e_0
ipykernel =6.9.1=py39h06a4308_0
ipython =8.4.0=py39h06a4308_0
jedi =0.18.1=py39h06a4308_1
jinja2 =3.1.2=pyhd8ed1ab_1
jpeg =9e=h166bdaf_2
jupyter_client =7.2.2=py39h06a4308_0
jupyter_core =4.10.0=py39h06a4308_0
keyutils =1.6.1=h166bdaf_0
kiwisolver =1.4.4=py39hf939315_0
krb5 =1.19.3=h3790be6_0
lcms2 =2.12=hddcbb42_0
ld_impl_linux-64 =2.38=h1181459_1
lerc =4.0.0=h27087fc_0
libblas =3.9.0=16_linux64_openblas
libbrotlicommon =1.0.9=h166bdaf_7
libbrotlidec =1.0.9=h166bdaf_7
libbrotlienc =1.0.9=h166bdaf_7
libcblas =3.9.0=16_linux64_openblas
libcurl =7.83.1=h7bff187_0
libdeflate =1.13=h166bdaf_0
libedit =3.1.20191231=he28a2e2_2
libev =4.33=h516909a_1
libffi =3.3=he6710b0_2
libgcc-ng =12.1.0=h8d9b700_16
libgfortran-ng =12.1.0=h69a702a_16
libgfortran5 =12.1.0=hdcd56e2_16
liblapack =3.9.0=16_linux64_openblas
libllvm11 =11.1.0=hf817b99_3
libnetcdf =4.8.1=nompi_h21705cb_104
libnghttp2 =1.47.0=hdcd2b5c_1
libopenblas =0.3.21=pthreads_h78a6416_2
libpng =1.6.37=h753d276_4
libsodium =1.0.18=h7b6447c_0
libssh2 =1.10.0=haa6b8db_3
libstdcxx-ng =12.1.0=ha89aaad_16
libtiff =4.4.0=h0e0dad5_3
libuuid =2.32.1=h7f98852_1000
libwebp-base =1.2.4=h166bdaf_0
libxcb =1.13=h7f98852_1004
libxml2 =2.9.14=h74e7548_0
libzip =1.9.2=hc869a4a_1
libzlib =1.2.12=h166bdaf_2
llvm-openmp =14.0.4=he0ac6c6_0
llvmlite =0.38.1=py39h7d9a04d_0
locket =1.0.0=pyhd8ed1ab_0
lz4 =4.0.0=py39h029007f_2
lz4-c =1.9.3=h9c3ff4c_1
markdown =3.4.1=pyhd8ed1ab_0
markupsafe =2.1.1=py39hb9d737c_1
matplotlib =3.5.3=py39hf3d152e_2
matplotlib-base =3.5.3=py39h19d6b11_2
matplotlib-inline =0.1.2=pyhd3eb1b0_2
msgpack-python =1.0.4=py39hf939315_0
multipledispatch =0.6.0=py_0
munkres =1.1.4=pyh9f0ad1d_0
ncurses =6.3=h5eee18b_3
nest-asyncio =1.5.5=py39h06a4308_0
netcdf4 =1.6.0=nompi_py39h6ced12a_102
numba =0.55.2=py39h66db6d7_0
numcodecs =0.10.2=py39h5a03fae_0
numpy =1.22.4=py39hc58783e_0
openjpeg =2.5.0=h7d73246_1
openssl =1.1.1q=h166bdaf_0
packaging =21.3=pyhd8ed1ab_0
pandas =1.4.4=py39h1832856_0
panel =0.13.1=pyhd8ed1ab_0
param =1.12.2=pyh6c4a22f_0
parso =0.8.3=pyhd3eb1b0_0
partd =1.3.0=pyhd8ed1ab_0
pcre =8.45=h9c3ff4c_0
pexpect =4.8.0=pyhd3eb1b0_3
pickleshare =0.7.5=pyhd3eb1b0_1003
pillow =9.2.0=py39hd5dbb17_2
pip =22.1.2=py39h06a4308_0
proj =9.0.1=h93bde94_1
prompt-toolkit =3.0.20=pyhd3eb1b0_0
psutil =5.9.1=py39hb9d737c_0
pthread-stubs =0.4=h36c2ea0_1001
ptyprocess =0.7.0=pyhd3eb1b0_2
pure_eval =0.2.2=pyhd3eb1b0_0
pycparser =2.21=pyhd8ed1ab_0
pyct =0.4.6=py_0
pyct-core =0.4.6=py_0
pygments =2.11.2=pyhd3eb1b0_0
pyinterp =0.16.0=openblas_py39h828665a_100
pyopenssl =22.0.0=pyhd8ed1ab_0
pyparsing =3.0.9=pyhd8ed1ab_0
pyproj =3.3.1=py39hdcf6798_1
pyqt =5.9.2=py39h2531618_6
pyshp =2.3.1=pyhd8ed1ab_0
pysocks =1.7.1=pyha2e5f31_6
python =3.9.12=h12debd9_1
python-dateutil =2.8.2=pyhd8ed1ab_0
python_abi =3.9=2_cp39
pytz =2022.2.1=pyhd8ed1ab_0
pyviz_comms =2.2.1=pyhd8ed1ab_1
pyyaml =6.0=py39hb9d737c_4
pyzmq =23.2.0=py39h6a678d5_0
qt =5.9.7=h5867ecd_1
readline =8.1.2=h7f8727e_1
requests =2.28.1=pyhd8ed1ab_1
scipy =1.9.1=py39h8ba3f38_0
setuptools =63.4.1=py39h06a4308_0
shapely =1.8.4=py39h68ae834_0
sip =4.19.13=py39h295c915_0
six =1.16.0=pyh6c4a22f_0
sortedcontainers =2.4.0=pyhd8ed1ab_0
sqlite =3.39.2=h5082296_0
stack_data =0.2.0=pyhd3eb1b0_0
tabulate =0.8.10=pyhd8ed1ab_0
tblib =1.7.0=pyhd8ed1ab_0
tk =8.6.12=h1ccaba5_0
toolz =0.12.0=pyhd8ed1ab_0
tornado =6.1=py39hb9d737c_3
tqdm =4.64.0=pyhd8ed1ab_0
traitlets =5.1.1=pyhd3eb1b0_0
typing-extensions =4.3.0=hd8ed1ab_0
typing_extensions =4.3.0=pyha770c72_0
tzdata =2022a=hda174b7_0
unicodedata2 =14.0.0=py39hb9d737c_1
urllib3 =1.26.11=pyhd8ed1ab_0
wcwidth =0.2.5=pyhd3eb1b0_0
webencodings =0.5.1=py_1
wheel =0.37.1=pyhd3eb1b0_0
xarray =2022.6.0=pyhd8ed1ab_1
xorg-libxau =1.0.9=h7f98852_0
xorg-libxdmcp =1.1.3=h7f98852_0
xz =5.2.5=h7f8727e_1
yaml =0.2.5=h7f98852_2
zeromq =4.3.4=h2531618_0
zict =2.2.0=pyhd8ed1ab_0
zipp =3.8.1=pyhd8ed1ab_0
zlib =1.2.12=h7f8727e_2
zstd =1.5.2=h6239696_4