All software
SKAO Science Data Challenge 1 Solution Workflow
The SKA Science Data Challenge 1 (SDC1, https://astronomers.skatelescope.org/ska-science-data-challenge-1/) tasked participants with identifying and classifying sources in synthetic radio images. Here we present an environment and workflow for producing a solution to this challenge that can easil...
- astronomy
- Data
- Machine learning
- + 2
- Dockerfile
- Jupyter Notebook
- Makefile
- + 2
timewise-sup: The Timewise Subtraction Pipeline v0.5.1
The Timewise Subtraction Pipeline produces mid-infrared difference photometry based on measurements by the WISE satellite
- astronomy
- content: difference photometry
- Projects: WISE
- Python
- Shell
ZenodoCI
The library is intended to be part of a complete CI pipeline. This stage deploys to Zenodo the files found in the ./build directory, configured in the .gitlab-ci.yml file
- ESCAPE
- Dockerfile
- Python
- Shell
Atlas of climate projections
The atlas demonstrates outputs from the probabilistic projection methods developed or assessed in the European Climate Projection system EUCP Horizon2020 project.
- Visualization
- JavaScript
- Jupyter Notebook
- Python
- + 1
ewatercycle-hype
eWatercycle plugin for HYPE hydrological model
- Python
eWatercycle SURF Research Cloud
Codified instructions for deploying the eWaterCycle platform on the SURF Research Cloud.
- Jinja
- Python
- Shell
ewatercycle-lisflood
eWatercycle plugin for LISFLOOD hydrological model
- Python
ewatercycle-marrmot
eWatercycle plugin for MARRMoT hydrological model
- Python
ewatercycle-pcrglobwb
eWaterCycle plugin for PCRGlobWB hydrological model
- Python
ewatercycle-wflow
eWaterCycle plugin for wflow hydrological model
- Python
ewatercycle-wflowjl
Wflow.jl plugin for eWatercycle.
- Dockerfile
- Python
EXCITED Machine Learning Workflow
An open workflow for creating machine learning models for estimating the global biospheric CO2 exchange.
- CO2
- Data Analysis
- geospatial
- + 4
- Jupyter Notebook
- Python