cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17107043
title: ECMWF daily maximum air temperature exceedance of 27°C - Kent (UK), 2022

description: Science Case Name



Multi-hazards in the Southeast UK region





Dataset Title



ECMWF daily maximum air temperature exceedance of 27°C - Kent (UK), 2022





Dataset Description



This dataset consists of a multi-layer image, where each layer represents the individual date within 2022 and pixel values for each date representing where the ECMWF daily maximum air temperature at 2m has exceeded the temperature threshold of 27°C, the threshold indicated by the UK Met Office to signify a heatwave in Kent.

Data was generated using code developed within the Goolge Earth Engine online platform and output in GeoTIFF and ENVI formats for interoperabilty and comparative analysis within GIS.





Key Methodologies



Calculation of pixel threshold exceedance of 27°C for each day on the 2022 daily air temperature variable multi-date image stack, coded in Google Earth Engine online platform. Output in raster format.





Temporal Domain



Daily: 1st January 2022 to 31st December 2022.





Spatial Domain



Geographic extent covering the region of Kent, Southeast UK.

Bounding Box Dimensions: Upper Left (51.49°N latitude, 0.035°E longitude) and Lower Right (50.91°N latitude, 1.45°E longitude)

Dataset in WGS84 decimal degree geographic coordinate system.

Approx. 0.01° x 0.01° spatial resolution.





Key Indicators



Daily binary image stack indicating where pixels exceed the temperature threshold of 27°C, temperature threshold indicated by the UK Met Office to signify a heatwave in Kent.





Data Format



GeoTIFF (*.tif) and ENVI (*.img + *.hdr)





Source Data



Primary source: ECMWF Climate Reanalysis ERA5-Land Daily Aggregated dataset (variable: ‘air_temperature_2m_max’), accessed through the Google Earth Engine online platform (GEE) made available to by the Copernicus Climate Data Store (https://cds.climate.copernicus.eu/) under CC-BY-4.0 licence (https://creativecommons.org/licenses/by/4.0/).

Coordinate system: WGS84 decimal degree





Accessibility



10.5281/zenodo.17107043





Stakeholder Relevance



Urban planning departmentsEmergency response organizationsInfrastructure development teamsDisaster risk assessment analysts





Limitations/Assumptions



Spatial resolution at 0.01° x 0.01°





Additional Information



Technical specifications: GeoTIFF and/or ENVI formats require use of a multi-band image visualisation package

Binary pixel values: 0 representing no threshold exceedance, 1 representing threshold exceedance





Contact Information



kmcm@bgs.ac.uk
DOI: 10.5281/zenodo.8436836
title: Multivariate analysis of FcR-mediated NK cell functions identifies unique clustering among humans and rhesus macaques - dataset

description: Dataset from Tuyishime M, Spreng RL, et al. Multivariate analysis of FcR-mediated NK cell functions identifies unique clustering among humans and rhesus macaques. Frontiers in Immunology 2023 doi: 10.3389/fimmu.2023.1260377
DOI: 10.5281/zenodo.8436837
title: Multivariate analysis of FcR-mediated NK cell functions identifies unique clustering among humans and rhesus macaques - dataset

description: Dataset from Tuyishime M, Spreng RL, et al. Multivariate analysis of FcR-mediated NK cell functions identifies unique clustering among humans and rhesus macaques. Frontiers in Immunology 2023 doi: 10.3389/fimmu.2023.1260377
DOI: 10.15468/dl.dgt5rv
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleurobema collina"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004515-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17107118
title: ECMWF daily maximum soil (upper 0-7cm) temperature exceedance of 27°C - Kent (UK), 2022

description: Science Case Name



Multi-hazards in the Southeast UK region





Dataset Title



ECMWF daily maximum soil (upper 0-7cm) temperature exceedance of 27°C - Kent (UK), 2022





Dataset Description



This dataset consists of a multi-layer image, where each layer represents the individual date within 2022 and pixel values for each date representing where the ECMWF daily maximum soil temperature in layer 1 (0-7cm) has exceeded the temperature threshold of 27°C, the threshold indicated by the UK Met Office to signify a heatwave in Kent.

Data was generated using code developed within the Goolge Earth Engine online platform and output in GeoTIFF and ENVI format for interoperabilty and comparative analysis within GIS.





Key Methodologies



Calculation of pixel threshold exceedance of 27°C for each date in the 2022 daily soil temperature variable (soil_temperature_level_1_max) multi-date image stack, coded in Google Earth Engine online platform. Output in raster format.





Temporal Domain



Daily: 1st January 2022 to 31st December 2022.





Spatial Domain



Geographic extent covering the region of Kent, Southeast UK.

Bounding Box Dimensions: Upper Left (51.49°N latitude, 0.035°E longitude) and Lower Right (50.91°N latitude, 1.45°E longitude)

Dataset in WGS84 decimal degree geographic coordinate system.

Approx. 0.01° x 0.01° spatial resolution.





Key Indicators



Daily binary image stack indicating where pixels exceed the temperature threshold of 27°C, temperature threshold indicated by the UK Met Office to signify a heatwave in Kent.





Data Format



GeoTIFF (*.tif) and ENVI (*.img + *.hdr)





Source Data



Primary source: ECMWF Climate Reanalysis ERA5-Land Daily Aggregated dataset (variable: ‘soil_temperature_level_1_max’), accessed through the Google Earth Engine online platform (GEE) made available to by the Copernicus Climate Data Store (https://cds.climate.copernicus.eu/) under CC-BY-4.0 licence (https://creativecommons.org/licenses/by/4.0/).

Coordinate system: WGS84 decimal degree





Accessibility



10.5281/zenodo.17107118





Stakeholder Relevance



Urban planning departmentsEmergency response organizationsInfrastructure development teamsDisaster risk assessment analysts





Limitations/Assumptions



Spatial resolution at 0.01° x 0.01°





Additional Information



Technical specifications: GeoTIFF and/or ENVI formats require use of a multi-band image visualisation package

Binary pixel values: 0 representing no threshold exceedance, 1 representing threshold exceedance





Contact Information



kmcm@bgs.ac.uk
DOI: 10.5281/zenodo.17107312
title: ECMWF daily maximum precipitation under 1mm - Kent (UK), 2022

description: Science Case Name



Multi-hazards in the Southeast UK region





Dataset Title



ECMWF daily maximum precipitation under 1mm - Kent (UK), 2022





Dataset Description



This dataset consists of a multi-layer image, where each layer represents the individual date within 2022 and pixel values for each date representing where the ECMWF daily maximum precipitation is under the threshold of 1mm, the threshold indicative of drought conditions.

Data was generated using code developed within the Goolge Earth Engine online platform and output in GeoTIFF and ENVI format for interoperabilty and comparative analysis within GIS.





Key Methodologies



Calculation where pixels are under a threshold of 1mm for each date in the 2022 daily precipitation variable (total_precipitation_max) multi-date image stack, coded in Google Earth Engine online platform. Output in raster format.





Temporal Domain



Daily: 1st January 2022 to 31st December 2022.





Spatial Domain



Geographic extent covering the region of Kent, Southeast UK.

Bounding Box Dimensions: Upper Left (51.49°N latitude, 0.035°E longitude) and Lower Right (50.91°N latitude, 1.45°E longitude)

Dataset in WGS84 decimal degree geographic coordinate system.

Approx. 0.01° x 0.01° spatial resolution.





Key Indicators



Daily binary image stack indicating where pixels fail to reach the precipitation threshold of 1mm, threshold indicative of drough conditions.





Data Format



GeoTIFF (*.tif) and ENVI (*.img + *.hdr)





Source Data



Primary source: ECMWF Climate Reanalysis ERA5-Land Daily Aggregated dataset (variable: ‘total_precipitation_max’), accessed through the Google Earth Engine online platform (GEE) made available to by the Copernicus Climate Data Store (https://cds.climate.copernicus.eu/) under CC-BY-4.0 licence (https://creativecommons.org/licenses/by/4.0/).

Coordinate system: WGS84 decimal degree





Accessibility



10.5281/zenodo.17107312





Stakeholder Relevance



Urban planning departmentsEmergency response organizationsInfrastructure development teamsDisaster risk assessment analysts





Limitations/Assumptions



Spatial resolution at 0.01° x 0.01°





Additional Information



Technical specifications: GeoTIFF and/or ENVI formats require use of a multi-band image visualisation package

Binary pixel values: 0 representing above threshold, 1 representing beneath threshold





Contact Information



kmcm@bgs.ac.uk
DOI: 10.5281/zenodo.17107405
title: ECMWF daily maximum volumetric soil moisture fraction under 0.2 - Kent (UK), 2022

description: Science Case Name



Multi-hazards in the Southeast UK region





Dataset Title



ECMWF daily maximum volumetric soil moisture fraction under 0.2 - Kent (UK), 2022





Dataset Description



This dataset consists of a multi-layer image, where each layer represents the individual date within 2022 and pixel values for each date representing where the ECMWF daily maximum volumetric soil moisture fraction in layer 1(upper 0-7cm) is under the threshold of 0.02, the threshold indicative of drought conditions.

Data was generated using code developed within the Goolge Earth Engine online platform and output in GeoTIFF and ENVI format for interoperabilty and comparative analysis within GIS.





Key Methodologies



Calculation where pixels are under a threshold of 0.02 for each date in the 2022 daily maximum volumetric soil moisture fraction in layer 1 variable (volumetric_soil_moisture_layer_1_max) multi-date image stack, coded in Google Earth Engine online platform. Output in raster format.





Temporal Domain



Daily: 1st January 2022 to 31st December 2022.





Spatial Domain



Geographic extent covering the region of Kent, Southeast UK.

Bounding Box Dimensions: Upper Left (51.49°N latitude, 0.035°E longitude) and Lower Right (50.91°N latitude, 1.45°E longitude)

Dataset in WGS84 decimal degree geographic coordinate system.

Approx. 0.01° x 0.01° spatial resolution.





Key Indicators



Daily binary image stack indicating where pixels fail to reach the volumetric soil moisture threshold of 0.02, threshold indicative of drought conditions.





Data Format



GeoTIFF (*.tif) and ENVI (*.img + *.hdr)





Source Data



Primary source: ECMWF Climate Reanalysis ERA5-Land Daily Aggregated dataset (variable: ‘volumetric_soil_moisture_layer_1_max), accessed through the Google Earth Engine online platform (GEE) made available to by the Copernicus Climate Data Store (https://cds.climate.copernicus.eu/) under CC-BY-4.0 licence (https://creativecommons.org/licenses/by/4.0/).

Coordinate system: WGS84 decimal degree





Accessibility



10.5281/zenodo.17107405





Stakeholder Relevance



Urban planning departmentsEmergency response organizationsInfrastructure development teamsDisaster risk assessment analysts





Limitations/Assumptions



Spatial resolution at 0.01° x 0.01°





Additional Information



Technical specifications: GeoTIFF and/or ENVI formats require use of a multi-band image visualisation package

Binary pixel values: 0 representing above threshold, 1 representing beneath threshold





Contact Information



kmcm@bgs.ac.uk
DOI: 10.15468/dl.k89jg5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinogammarus trichiatus",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004517-250914085247600/datasets/export for details.
DOI: 10.15468/dl.jjfjwu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinogammarus trichiatus",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004518-250914085247600/datasets/export for details.
DOI: 10.15468/dl.dujshs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinogammarus trichiatus",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004519-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17127378
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250915t Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250915t Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17127379
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250915t Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250915t Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15235669
title: HDBSCAN Clusters Rice Crop Stress - Senegal River Delta, 2019-2020

description: Demonstration Case Name 



Multi-hazards in Senegal (transferability case)





Dataset Name/Title 



HDBSCAN Clusters Rice Crop Stress - Senegal River Delta, 2019-2020





Dataset Description 



The dataset contains HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise) clusters based on a synthetic stress indicator obtained through a PCA (Principal Component Analysis) on NDVI (Normalized Difference Vegetation Index) and NDMI (Normalized Difference Moisture Index) Sentinel-2 based indices. The dataset contains identified vegetation stress clusters on the following dates: wet year: '2019-06-02', '2019-06-07', '2019-06-17', '2019-06-22', '2019-06-27', dry year: '2020-05-27', '2020-06-11', '2020-06-21', '2020-06-26',  '2020-07-01' , covering the end portion of the rice cropping season in the area. All observations are located in a plain area that relies on the SenegalRiver for cropland irrigation. For each row, the dataset contains the following columns: 





date: date of the clustering, in YYYY-mm-dd format




cluster: cluster number, -1 identifies the noise (unclassified) cluster




ndvi_mean: mean NDVI across field polygon




ndmi_mean: mean NDMI across field polygon


bsi_mean: mean BSI across field polygon



distance_t: average distance (m) of a rice field from the closest irrigation channel




geometry: polygon geometry of the cluster in EPSG:32628







Key Methodologies 



Sentinel-2 Level-2 NDVI, NDMI and BSI were computed, averaged per field and exported for 2019-2020. The rice growing period is April to July; the end of season is May-June.  Bare fields were filtered out by BSI >= 0.08. For the remaining fields, NDVI and NDMI  were combined in a principal component (PC) that underwent HDBSCAN clustering. Clusters with average NDVI < 0.45 and NDMI < 0.15 were considered stressed crops.





Temporal Domain 



5 days in 2019, 5 days in 2020





Spatial Domain 



Senegal River Delta, West Africa, EPSG:32628 (UTM Zone 28N)





Key Variables/Indicators 



HDBSCAN clusters





Data Format 



ESRI Shapefile





Source Data 



Sentinel-2 Level-2





Accessibility 



Zenodo, https://doi.org/10.5281/zenodo.17116834





Stakeholder Relevance 



The dataset provides valuable post-disaster information on crop vegetation dynamics during hot and dry events.





Limitations/Assumptions 



The HDBSCAN algorithm was not optimized for the dataset; a fixed version of hyperparameters was directly taken from https://doi.org/10.5281/zenodo.15301314 





Additional Outputs/information



The dataset access is currently restricted due to pending related publication.





Contact Information 



Egor Prikaziuk (UT-ITC, Faculty of Geo-Information Science and Earth Observation, ITC, University of Twente, the Netherlands)
DOI: 10.5281/zenodo.17116834
title: HDBSCAN Clusters Rice Crop Stress - Senegal River Delta, 2019-2020

description: Demonstration Case Name 



Multi-hazards in Senegal (transferability case)





Dataset Name/Title 



HDBSCAN Clusters Rice Crop Stress - Senegal River Delta, 2019-2020





Dataset Description 



The dataset contains HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise) clusters based on a synthetic stress indicator obtained through a PCA (Principal Component Analysis) on NDVI (Normalized Difference Vegetation Index) and NDMI (Normalized Difference Moisture Index) Sentinel-2 based indices. The dataset contains identified vegetation stress clusters on the following dates: wet year: '2019-06-02', '2019-06-07', '2019-06-17', '2019-06-22', '2019-06-27', dry year: '2020-05-27', '2020-06-11', '2020-06-21', '2020-06-26',  '2020-07-01' , covering the end portion of the rice cropping season in the area. All observations are located in a plain area that relies on the SenegalRiver for cropland irrigation. For each row, the dataset contains the following columns: 





date: date of the clustering, in YYYY-mm-dd format




cluster: cluster number, -1 identifies the noise (unclassified) cluster




ndvi_mean: mean NDVI across field polygon




ndmi_mean: mean NDMI across field polygon


bsi_mean: mean BSI across field polygon



distance_t: average distance (m) of a rice field from the closest irrigation channel




geometry: polygon geometry of the cluster in EPSG:32628







Key Methodologies 



Sentinel-2 Level-2 NDVI, NDMI and BSI were computed, averaged per field and exported for 2019-2020. The rice growing period is April to July; the end of season is May-June.  Bare fields were filtered out by BSI >= 0.08. For the remaining fields, NDVI and NDMI  were combined in a principal component (PC) that underwent HDBSCAN clustering. Clusters with average NDVI < 0.45 and NDMI < 0.15 were considered stressed crops.





Temporal Domain 



5 days in 2019, 5 days in 2020





Spatial Domain 



Senegal River Delta, West Africa, EPSG:32628 (UTM Zone 28N)





Key Variables/Indicators 



HDBSCAN clusters





Data Format 



ESRI Shapefile





Source Data 



Sentinel-2 Level-2





Accessibility 



Zenodo, https://doi.org/10.5281/zenodo.17116834





Stakeholder Relevance 



The dataset provides valuable post-disaster information on crop vegetation dynamics during hot and dry events.





Limitations/Assumptions 



The HDBSCAN algorithm was not optimized for the dataset; a fixed version of hyperparameters was directly taken from https://doi.org/10.5281/zenodo.15301314 





Additional Outputs/information



The dataset access is currently restricted due to pending related publication.





Contact Information 



Egor Prikaziuk (UT-ITC, Faculty of Geo-Information Science and Earth Observation, ITC, University of Twente, the Netherlands)
DOI: 10.5517/ccdc.csd.cc2nhdn7
title: CCDC 2457669: Experimental Crystal Structure Determination

description: Related Article: Manojkumar Jujam, Abhishek Kumar Yadav, Srinivas Dharavath|2025|Dalton Trans.|54|13347|doi:10.1039/d5dt01508a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nhdp8
title: CCDC 2457670: Experimental Crystal Structure Determination

description: Related Article: Manojkumar Jujam, Abhishek Kumar Yadav, Srinivas Dharavath|2025|Dalton Trans.|54|13347|doi:10.1039/d5dt01508a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nhdq9
title: CCDC 2457671: Experimental Crystal Structure Determination

description: Related Article: Manojkumar Jujam, Abhishek Kumar Yadav, Srinivas Dharavath|2025|Dalton Trans.|54|13347|doi:10.1039/d5dt01508a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.gqfdac
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinogammarus trichiatus",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004520-250914085247600/datasets/export for details.
DOI: 10.15468/dl.ss85zf
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinogammarus trichiatus",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004521-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/ee22-7z16
title: Parkes observations for project P595 semester 2025APRS_28

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.