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Package Usage: pypi: xmitgcm

Read MITgcm mds binary files into xarray
10 versions
Latest release: almost 3 years ago
2 dependent packages
125 downloads last month

View more package details: https://packages.ecosyste.ms/registries/pypi.org/packages/xmitgcm

View more repository details: https://repos.ecosyste.ms/hosts/GitHub/repositories/MITgcm%2Fxmitgcm

Dependent Repos 6

IvanaEscobar/sandbox
where I noodle
  • * setup.py

Size: 205 MB - Last synced: 11 days ago - Pushed: 11 days ago

ECCO-GROUP/ECCO-Dataset-Production
Repo with codes to turn raw model output into glorious self-describing granules for widespread distribution
  • * aws/lambda_code/requirements.txt

Size: 110 MB - Last synced: about 1 month ago - Pushed: about 1 month ago

ngam/ngc-ext-pangeo
Rewriting Pangeo Docker ML containers based on NGC containers.
  • * requirements.txt

Size: 28.3 KB - Last synced: about 1 year ago - Pushed: about 2 years ago

AaronDavidSchneider/cubedsphere
Library for post processing of MITgcm cubed sphere data
  • >0.5.0 setup.py

Size: 5.75 MB - Last synced: 7 months ago - Pushed: 7 months ago

fraserwg/dwbc-proj
  • ==0.5.2 requirements.txt

Size: 12.9 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

DS4Earth/sp2020
Data Science for Earth spring 2020
  • >=0.4.1 notebooks/pangeo-ocean-examples/binder/requirements.txt

Size: 135 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago

ocesaulo/maud_rise_data
  • ==0.4.1 environment.yml

Size: 640 KB - Last synced: over 1 year ago - Pushed: almost 4 years ago

007gzs/test
  • * requirements.txt

Size: 1.6 MB - Last synced: 5 months ago - Pushed: 5 months ago

pangeo-data/pangeo-ecco-llc
Demos of the ECCO LLC Reader
  • master binder/requirements.txt

Size: 1.19 MB - Last synced: 4 months ago - Pushed: over 3 years ago

pangeo-data/pangeo-ocean-examples
Examples of analysis of ocean data and simulation outputs using xarray, xgcm, and pangeo.
  • >=0.4.1 binder/requirements.txt

Size: 2.47 MB - Last synced: 4 months ago - Pushed: over 4 years ago

GrainLearning/grainLearning
A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials, developed by various projects of the University of Twente (NL), the Netherlands eScience Center (NL), University of Newcastle (AU), and Hiroshima University (JP).
  • ==0.5.2 grainlearning/rnn/trained_models/rnn_triaxial_drained/requirements.txt
  • ==0.5.2 grainlearning/rnn/trained_models/rnn_triaxial_drained+e0/requirements.txt
  • ==0.5.2 grainlearning/rnn/trained_models/rnn_triaxial_undrained/requirements.txt
  • ==0.5.2 grainlearning/rnn/trained_models/rnn_triaxial_undrained+e0/requirements.txt

Size: 135 MB - Last synced: 25 days ago - Pushed: 25 days ago

ITC-Water-Resources/itc-hydrafloods-2024
Tutorials for ITC Course Observing and quantifying surface water in a changing world
  • ==0.5.2 requirements.txt

Size: 6.42 MB - Last synced: about 1 month ago - Pushed: about 1 month ago