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Netherlands eScience Center

Netherlands eScience Center

Amsterdam, The Netherlands

National platform for the development and application of domain overarching software and methods for the scientific community

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349-360 of 377
Logo for TraP: The LOFAR Transients Pipeline

TraP: The LOFAR Transients Pipeline

The LOFAR Transients Pipeline (or "TraP") is a Python and SQL based system for detecting and responding to transient and variable sources in a stream of astronomical images.

  • Image processing
  • radio astronomy
  • Source association
  • + 3
  • (Mako)
  • (PLpgSQL)
  • (Python)
  • + 1
6
107

tsdf

A package to read, modify and write TSDF data in Python.

  • Time Series
  • (Python)
  • (TeX)
3
0

TulipaClustering.jl

Cluster profiles into representative periods.

  • Clustering
  • Energy system analysis
  • Energy system modelling
  • + 1
  • (Julia)
6
0
Logo for TulipaEnergyModel

TulipaEnergyModel

This package provides an optimization model for the electricity market and its coupling with other energy sectors. The objective is to determine the optimal investment and operation decisions for different types of assets.

  • Energy system analysis
  • Energy system modelling
  • Integrated energy systems
  • + 4
  • (Julia)
  • (Python)
  • (Ruby)
  • + 2
9
6

TulipaIO.jl

This package relies on DuckDB to tie a variety of data sources with Julia, and TulipaEnergyModel (TEM). It also enables a bidirectional capability to manipulate datasets from Julia and back to DuckDB.

  • (EdgeQL)
  • (Julia)
4
0

Twiqs

Software behind the web server twiqs.nl, which has provided free access to statistics about Dutch tweets since 2010

  • Big data
  • Text analysis & natural language processing
  • Visualization
  • (HTML)
  • (Java)
  • (JavaScript)
  • + 3
1
75

UFEMISM2.0

The successor of UFEMISM, has all of its features (and more?), but is based on the distributed architecture introduced in minimism.

  • Finite volume method
  • ice sheet
  • MPI
  • + 1
  • (CMake)
  • (Fortran)
  • (HTML)
  • + 5
4
0
Logo for Unraphael

Unraphael

Unraphael is a computer vision tool for art history, designed to support the analysis of figure-outline similarities in images to study Renaissance copying practices. Its user-friendly interface lets researchers inspect structural patterns, revealing insights into artistic techniques.

  • computational art analysis
  • computer vision
  • Image preprocessing
  • + 3
  • (CSS)
  • (Dockerfile)
  • (Python)
3
0
Logo for UNSAT3D

UNSAT3D

Soil health is essential for infrastructure and plant growth. The UNSAT project aims to improve 3D soil image processing using machine learning and high-fidelity simulation data to study water transport and root-soil interactions during maize growth.

  • Data Analysis
  • Machine learning
  • (Python)
  • (Shell)
3
0
Logo for Vantage6

Vantage6

An open-source platform for supporting the development of federated learning projects

  • federated learning
  • healthcare
  • privacy preserving analysis
  • + 1
  • (Dockerfile)
  • (HTML)
  • (JavaScript)
  • + 6
11
64

Verticox+

Verticox+ is a Cox proportional hazards algorithm for vertically distributed data. The solution is based on the Verticox algorithm from Dai et al., 2022. It has been adapted to be used within the Vantage6 framework.

  • federated learning
  • Java
  • privacy preservation
  • + 3
  • (Dockerfile)
  • (Java)
  • (Jinja)
  • + 4
2
0
Logo for Revisited Via Appia

Revisited Via Appia

Create visual storylines that involve media like images and videos embedded in a 3D environment with efficient Pointcloud data directly from the web browser.

  • cultural heritage
  • Digital Twins
  • gis
  • + 2
  • (CSS)
  • (HTML)
  • (JavaScript)
  • + 3
2
3