Environment & Sustainability
AHN2 pointcloud viewer
A web application able to visualize the AHN2 point cloud data of the Netherlands.
- Big data
- Real time data analysis
- Visualization
- JavaScript
- HTML
- CSS
- + 1
AHN point cloud viewer web service
A web service to serve large point cloud data efficiently using octrees.
- Big data
- Visualization
- Java
- Python
BestieTemplate.jl
BestieTemplate.jl is a template focused on best practices for package development in Julia.
- best practices
- julia
- template
- Julia
Cityblocks
Python utility to generate local climate zone (LCZ) tiles for rendering in 3D in QGIS
- QML
- Python
classmodel/form
Form component that renders a JSON schema using Solid UI components.
- TypeScript
- Jupyter Notebook
- JavaScript
- + 2
CLASS-web
Implementation of the Chemistry Land-surface Atmosphere Soil Slab (CLASS) model that runs entirely in the browser. For more information on CLASS, see https://classmodel.github.io/.
- web service
- TypeScript
- Jupyter Notebook
- JavaScript
- + 2
ece2cmor3
Process EC-Earth output to publish for CMIP6
- Big data
- High performance computing
- Optimized data handling
- Python
- Shell
eEcology Tracker calendar
Calendar overview with daily statistics of GPS-trackers used to track bird movements.
- Visualization
- Python
- Makefile
- JavaScript
- + 5
era5cli
A command line interface to download ERA5 data from the Copernicus Climate Data Store
- Python
ESMValCore
ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.
- Big data
- Optimized data handling
- Visualization
- + 1
- Python
- Jupyter Notebook
- HTML
- + 5
ESMValTool
The Earth System Model eValuation Tool is a community diagnostics and performance metrics tool for the evaluation of Earth System Models that allows for routine comparison of models and observations.
- Big data
- Optimized data handling
- Visualization
- + 1
- NCL
- Python
- R
- + 7
ewatercycle
The eWaterCycle package makes it easier to use hydrological models without having intimate knowledge about how to install and run the models.
- Inter-operability & linked data
- Multi-scale & multi model simulations
- Optimized data handling
- + 1
- Python
- Dockerfile