Data files

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6 Data files visible to you, out of a total of 6

Description

This dataset contains 100m x 100m maps of cover fraction expressed in % ground cover per pixel for 10 base classes including moss & lichen for years 2015 to 2019.

The geographical area of interest corresponds to the Troms and Finnmark counties in Norway.

Along with 10.5281/zenodo.8142713 this is to be used as input to forecast vegetation browning in Troms and Finnmark using machine learning.

This dataset contains hourly values of 2m air temperature, snow depth and total precipitation from the ERA5-land reanalysis from 2015-01-01 to 2022-12-31.

The geographical area of interest corresponds to the Troms and Finnmark counties in Norway.

Along with 10.5281/zenodo.8142734 this is to be used as input to forecast vegetation browning in Troms and Finnmark using machine learning.

Creator: Jean Iaquinta

Submitter: Stian Soiland-Reyes

Description

This is a training dataset for use in Galaxy materials science tutorials. These files can be compared to the output of simulations by MuSpinSim for dissipation of muon spins.

The files included are:

dissipation_theory.dat: theoretical values formatted as a MuSpinSim output experiment.dat: mock experimental values formatted as a MuSpinSim output

Creators: Patrick Austin, Muon Spectroscopy Computational Project

Submitter: Stian Soiland-Reyes

This dataset is an RO-Crate representation of an execution of the tissue/tumor prediction workflow for digital pathology from crs4/deephealth-pipelines. It follows the Provenance Run Crate profile. The workflow has been run with cwltool, using the --provenance option to generate a CWLProv RO bundle, and then converted to an RO-Crate using runcrate. The input dataset is Mirax2-Fluorescence-2 by Yves Sucaet, from the MIRAX test data.

Creator: Simone Leo

Submitter: Stian Soiland-Reyes

This is a training dataset for use in Galaxy materials science tutorials. These files can be used to demonstrate the AIRSS (Ab-Initio Random Structure Searching) method for finding muon stopping sites, using the UEP (Unperturbed Electrostatic Potential) technique for the optimisation stage of that method.

The files included are:

Si.cell: structure file containing atom locations Si.den_fmt: electron density data, generated with CASTEP Si.castep: CASTEP log file for the electron density calculation ...

Creators: Eli Chadwick, Muon Spectroscopy Computational Project

Submitter: Stian Soiland-Reyes

This RO-Crate contains a knowledge graph built from RO-Crates on WorkflowHub, enriched with metadata from additional sources. The source code used to create the knowledge graph, including the enrichments, is also included.

This version: 2025-08-29

Also published on Zenodo: https://doi.org/10.5281/zenodo.16995374

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