All software

FAIR Data Point

RESTful web service that enables data owners to expose their data sets using rich machine-readable metadata.

ArrayAnalysis

ArrayAnalysis provides a user-friendly solution for transcriptomic data analysis. It allows researchers, regardless of their bioinformatics expertise, to efficiently analyse, explore, and interpret RNA sequencing and microarray datasets.

ESMValCore

Scholia

Graphical User Interface around Wikidata that uses SPARQL to collect data

dataquieR

dataquieR is an R package designed to conduct automated and standardized data quality assessments. It can be applied to all sorts of tabular data. Spreadsheet-type metadata can be used to specify descriptions, expectations, and requirements about the data.

hybridMT

The hybridMT is MATLAB/shell environment software package for the seismic moment tensor inversion in time domain. The package allows to estimate fault plane parameters and the balance between volumetric and non-volumetric strain in the seismic source using different decomposition schemes.

splithalfr

Estimates split-half reliabilities for scoring algorithms of cognitive tasks and questionnaires.

DeepRank

Deep learning framework for data mining protein-protein interactions using CNN

Code and data underlying the publication: City3D: Large-scale Building Reconstruction from Airborne LiDAR Point Clouds

Code and data underlying the publication: City3D: Large-scale Building Reconstruction from Airborne LiDAR Point Clouds

Paired omics data platform

If you do metabolomics experiments with mass spectra and have sequenced the genomes of the samples, then the platform can help you link them.

Parcels

Parcels (Probably A Really Computationally Efficient Lagrangian Simulator) is a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. Parcels can be used to track passive and active particulates such as plastic and fish.

BornAgain

Software to simulate and fit neutron and x-ray reflectometry and grazing-incidence small-angle scattering. The latter is computed as usual, using the distorted-wave Born approximation, hence the name. Users can set up arbitrary multilayer samples with interface roughness and embedded nanoparticles.