Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3
datasets available to search
ShareScore release 0.9.0
Dataset results
3 results for “UNEP”
UNEP GEMS/Water Global Freshwater Quality Archive
<p>Large-sample datasets are essential in hydrological science to support modelling studies and global assessments. The present dataset compiles all freshwater quality data that is available under open data policy (CC BY 4.0 or equivalent) at the GEMStat database for global water quality (<a href="http://www.gemstat.org">www.gemstat.org</a>). It includes over 20,000,000 measurements on 608 water quality parameters, covering 13,660 stations in 37 countries over the time period from 1906 to 2023.</p> <p>GEMStat is operated by the GEMS/Water programme of the United Nations Environment Programme (UNEP) and hosted at the International Centre for Water Resources and Global Change (ICWRGC) and the German Federal Institute of Hydrology (BfG). The data in GEMStat is provided by National Hydrological Services of UN member states.</p> <p>The data available here at Zenodo consists of a zip archive with individual csv files for different parameter groups. Three csv files provide metadata information on stations (GEMStat_station_metadata.csv), parameters (GEMStat_parameter_metadata.csv) and analytical methods (GEMStat_method_metadata.csv). A text file (README_output_format.txt) gives information on the different entriy classes in the data files.</p> <p>If you have querries regarding the dataset, please contact the GEMS/Water Data Centre via email to <a href="mailto:gwdc@bafg.de">gwdc@bafg.de</a>.</p> <p><strong>Version v2</strong></p> <p>An error was corrected that led to overestimation for all parameters in Version v1.</p> <p>To avoid further download of Version v1, access to it has been restricted while Version v2 is publicly available.</p>
Dataset for UNEP-v1
<p>Dataset for the paper: <strong>General-purpose machine-learned potential for 16 elemental metals and their alloys</strong></p> <p><strong>UNEP</strong>-v1 = version 1 of <strong>U</strong>nified <strong>N</strong>euro<strong>E</strong>volution <strong>P</strong>otential as implemented in GPUMD (https://gpumd.org/)</p> <ul> <li>INCAR: Input file of VASP for single-point DFT calculations</li> <li>nep.in: Input file of GPUMD for NEP training</li> <li>UNEP-v1-main.txt: The main UNEP-v1 model used in the paper</li> <li>ensemble-nep-models.zip: The ensemble of eight UNEP-v1 models</li> <li>trainset.zip: Training data <ul> <li>1-component: all the 1-component training data in extended XYZ format</li> <li>2-component: all the 2-component training data in extended XYZ format</li> <li>combined-train-xyz: all the training data in a single extended XYZ file</li> </ul> </li> <li>testset.zip: Test data for Fig 2 and Figs. S1-S17</li> </ul>
Mean boat speed over the new NW Mediterranean PSSA on the UNEP-MAP Knowledge Management Platform
<p>This video was created to represent on KMaP (<a href="https://kmap.info-rac.org/">https://kmap.info-rac.org/</a>) mean boat speed during 2023 summer, extrapolated from AIS data taken from NETCCOBAMS (<a href="https://accobams.org/">https://accobams.org/</a>) over 1km square cells grid covering the entire <a href="https://wwwcdn.imo.org/localresources/en/KnowledgeCentre/IndexofIMOResolutions/MEPCDocuments/MEPC.380%2880%29.pdf">new PSSA</a> (Particularly Sensitive Sea Area). The purpose of the video is to showcase the variation of the mean speed of all the boats travelling through each cell of the grid on weekly basis, from the 5th of June to the 2nd of September 2023 and represents a starting point to simulate how AIS data could be used to monitor cetacean-boats strike risk.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.