Netherlands eScience Center
National platform for the development and application of domain overarching software and methods for the scientific community
Forecasting the grid emission factor for the Netherlands
A workflow to produce emission factor forecasts for the electricity mix of the Netherlands, up to 7 days ahead.
- electricity grid
- emission factor
- Forecasting
- + 1
- (Dockerfile)
- (Python)
Davidson diagonalization in Fortran
This package contains a Modern Fortran implementation of the Davidson diagonalization algorithms to compute several eigenvalue-eigenvector pairs of a symmetric matrix
- High performance computing
- (CMake)
- (Fortran)
- (Python)
frbcatdb
A database to store a catalog of Fast Radio Bursts and expose them as Virtual Observation Events.
- Optimized data handling
- (Python)
- (Shell)
frbcat-web
Provides an easy to-use web frontend to browse and filter the Fast Radio Burst Catalogue.
- Optimized data handling
- Visualization
- (CSS)
- (HTML)
- (JavaScript)
GameBus FHIR Layer
Enable FHIR service for GameBus and beyond
- Data Harmonization
- FHIR
- healthcare
- + 1
- (Dockerfile)
- (Java)
- (Shell)
gemdat
a Generalized Molecular Dynamics Analysis Tool
- analysis
- molecular dynamics
- python
- + 1
- (Nix)
- (Python)
Geoflow visualizer
Visualizes any type of flow between countries. Takes a CSV as input, applies filtering and aggregation (danfojs) to show relations and data in a number of visualizations (d3.js)
- Visualization
- web-based
- (CSS)
- (HTML)
- (JavaScript)
Introduction to Geospatial Raster and Vector Data with Python
This lesson material shows how practical geospatial data analysis tasks can be carried out using Python
- Data Analysis
- geospatial
- Image processing
- + 4
GGIR
Converts raw data from wearables into insightful reports for researchers investigating human daily physical activity and sleep.
- Big data
- (R)
GitHub action to set up gRPC
To compile C Plus code against gRPC in a GitHub action workflow you need to install it first. This GitHub action compiles or downloads it for you.
- (TypeScript)
GitHub action to set up singularity
To use Singularity containers in a GitHub action workflow you need to install it first. This GitHub Action downloads, compiles and installs it for you.
- (Shell)
- (TypeScript)
GrainLearning
Unsure about the parameters of your grains in a computer simulation? Use Iterative Bayesian Filtering to learn parameter distributions from limited data. Is your model running slowly? Speed up your simulations with machine-learning surrogates. All these features are integrated within GrainLearning.
- Bayesian Inference
- Data assimilation
- Machine learning
- + 2
- ("Jupyter Notebook")
- (PureBasic)
- (Python)
- + 1