Workflows for Galaxy Climate
Space: Independent Teams
SEEK ID: https://workflowhub.eu/projects/18
Public web page: Not specified
Organisms: No Organisms specified
WorkflowHub PALs: No PALs for this Team
Team created: 23rd Jul 2020
A space managed by WorkflowHub administrators for teams that don't want/need to manage their own space.
Teams: IBISBA Workflows, NMR Workflow, UNLOCK, NanoGalaxy, Galaxy Climate, PNDB, IMBforge, COVID-19 PubSeq: Public SARS-CoV-2 Sequence Resource, LBI-RUD, Nick-test-team, usegalaxy-eu, Italy-Covid-data-Portal, UX trial team, Integrated and Urban Plant Pathology Laboratory, SARS-CoV-2 Data Hubs, lmjxteam2, virAnnot pipeline, Ay Lab, iPC: individualizedPaediatricCure, Harkany Lab, Genomics Coordination Center, EJPRD WP13 case-studies workflows, Common Workflow Language (CWL) community, Testing, SeBiMER, IAA-CSIC, MAB - ATGC, Probabilistic graphical models, GenX, Snakemake-Workflows, ODA, IPK BIT, CO2MICS Lab, FAME, CHU Limoges - UF9481 Bioinformatique / CNR Herpesvirus, Quadram Institute Bioscience - Bioinformatics, HecatombDevelopment, Institute of Human Genetics, Testing RO Crates, Test Team, Applied Computational Biology at IEG/HMGU, INFRAFRONTIER workflows, OME, TransBioNet, OpenEBench, Galaxycompchem, Bioinformatics and Biostatistics (BIO2 ) Core, VIB Bioinformatics Core, CRC Cohort, ICAN, MustafaVoh, Single Cell Unit, CO-Graph, emo-bon, TestEMBL-EBIOntology, CINECA, Toxicology community, Pitagora-Network, Workflows Australia, Medizinisches Proteom-Center, Medical Bioinformatics, AGRF BIO, EU-Openscreen, X-omics, ELIXIR Belgium, URGI, Size Inc, GA-VirReport Team, The Boucher Lab, Cluster Emergent del Cervell Humà, Air Quality Prediction, pyiron, CAPSID, Edinburgh Genomics, Defragmentation TS, NBIS, Phytoplankton Analysis, Seq4AMR, Workflow registry test, Read2Map, SKM3, ParslRNA-Seq: an efficient and scalable RNAseq analysis workflow for studies of differentiated gene expression, de.NBI Cloud, Meta-NanoSim, ILVO Plant Health, EMERGEN-BIOINFO, KircherLab, Apis-wings, BCCM_ULC, Dessimoz Lab, TRON gGmbH, GEMS at MLZ, Computational Science at HZDR, Big data in biomedicine, DARE-FX, MISTIC, Guigó lab, Statistical genetics, Delineating Regions-of-interest for Mass Spectrometry Imaging by Multimodally Corroborated Spatial Segmentation, DLSW, Bioinformatics Unit @ CRG, Bioinformatics Innovation Lab, BSC-CES
Web page: Not specified
This workflow demonstrates the usage of the Community Earth System Model on Galaxy Europe.
A fully coupled B1850 compset with resolution f19_g17 is run for 1 month.
This workflow demonstrates the usage of EODIE, a toolkit to extract object based timeseries information from Earth Observation data.
EODIE is a toolkit to extract object based timeseries information from Earth Observation data.
The EODIE code can be found on Gitlab .
The goal of EODIE is to ease the extraction of time series information at object level. Today, vast amounts of Earth Observation data are available to the users via for example earth explorer ...
Creator: Anne Fouilloux
Submitter: Anne Fouilloux
Abstract CWL Automatically generated from the Galaxy workflow file: GTN 'Pangeo 101 for everyone - Introduction to Xarray'.
In this tutorial, we analyze particle matter < 2.5 μm/m3 data from Copernicus Atmosphere Monitoring Service to understand Xarray Galaxy Tools:
- Understand how an Xarray dataset is organized;
- Get metadata from Xarray dataset such as variable names, units, coordinates (latitude, longitude, level), etc;
- Plot an Xarray dataset on a geographical map and learn to customize ...
This workflow extracts 5 different time periods e.g. January- June 2019, 2020 and 2021, July-December 2019 and 2020 over a single selected location. Then statistics (mean, minimum, maximum) are computed. The final products are maximum, minimum and mean.
Submitter: Anne Fouilloux
This workflow is used to process timeseries from meteorological stations in Finland but can be applied to any timeseries according it follows the same format.
Take a temperature timeseries from any meteorological station. Input format is csv and it must be standardized with 6 columns:
- Year (ex: 2021)
- month (ex: 1)
- day (ex: 15)
- Time (ex: 16:56)
- Time zone (such as UTC)
- Air temperature (degC)