cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u8urzu
title: Occurrence Download

description: A dataset containing 7200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Monomorium destructor)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7200 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029473-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/r5xkup
title: School of Nursing, Ilorin 2025/2026 Admission List Is Out Now Call Admin Office Call 08142094711, (08142094711) To Check And Further Admission Assistance Call +2348142094711.

description: School of Nursing, Ilorin 2025/2026 Admission List Is Out Now Call Admin Office Call 08142094711, (08142094711) To Check And Further Admission Assistance Call +2348142094711.
description: School of Nursing, Ilorin 2025/2026 Admission List Is Out Now Call Admin Office Call 08142094711, (08142094711) To Check And Further Admission Assistance Call +2348142094711.
DOI: 10.6084/m9.figshare.30233305
title: Datasets for geospatial Modelling of Potential Mining Impacts on Karst Aquifers and Surface Waters in Four Sub-Saharan African Countries

description: The study implemented a comparative geospatial framework integrating remote sensing, GIS-based spatial modelling, and hydrological landscape analysis. We assessed the proximity of mineral deposits to freshwater features, rivers, lakes, and karst zones, using Euclidean distance and spatial overlay methods. These metrics were synthesised into an Environmental Exposure Index (EEI) to identify hotspots of hydrological vulnerability. The dataset consists of Geospatial datasets were sourced from the United States Geological Survey (USGS), HydroSHEDS, and respective national geological surveys. Landsat 8 Operational Land Imager (OLI) imagery (2022) was used to establish a multispectral baseline for land cover referencing and environmental validation. Mineral deposit coordinates were harmonised by aggregating spatial clusters using a centroid-based approach, reducing spatial redundancy, and standardising analytical units. Karst terrains were delineated from lithostratigraphic layers identifying carbonate-rich formations (e.g., dolomite, limestone), while hydrological features, including rivers, lakes, and reservoirs, were mapped using high-resolution hydrographic shapefiles and validated against RS imagery and topographic overlays. The following dataset were used in the study; mineral deposits (USGS MRDS + national surveys); hydrography (HydroSHEDS + HydroLAKES); remote sensing imagery (Landsat 8 OLI 2022, optionally Sentinel-2); DEM/topography (SRTM, Copernicus DEM); geology/lithostratigraphy (national geological maps, OneGeology) and Administrative & ecological boundaries (GADM, WDPA) for four SSA countries, Tanzania, the DRC, Nigeria, and South Africa, were purposively selected based on the scale of mineral exploitation, ecological sensitivity, and representation of distinct hydrogeological regimes.
DOI: 10.6084/m9.figshare.30233305.v1
title: Datasets for geospatial Modelling of Potential Mining Impacts on Karst Aquifers and Surface Waters in Four Sub-Saharan African Countries

description: The study implemented a comparative geospatial framework integrating remote sensing, GIS-based spatial modelling, and hydrological landscape analysis. We assessed the proximity of mineral deposits to freshwater features, rivers, lakes, and karst zones, using Euclidean distance and spatial overlay methods. These metrics were synthesised into an Environmental Exposure Index (EEI) to identify hotspots of hydrological vulnerability. The dataset consists of Geospatial datasets were sourced from the United States Geological Survey (USGS), HydroSHEDS, and respective national geological surveys. Landsat 8 Operational Land Imager (OLI) imagery (2022) was used to establish a multispectral baseline for land cover referencing and environmental validation. Mineral deposit coordinates were harmonised by aggregating spatial clusters using a centroid-based approach, reducing spatial redundancy, and standardising analytical units. Karst terrains were delineated from lithostratigraphic layers identifying carbonate-rich formations (e.g., dolomite, limestone), while hydrological features, including rivers, lakes, and reservoirs, were mapped using high-resolution hydrographic shapefiles and validated against RS imagery and topographic overlays. The following dataset were used in the study; mineral deposits (USGS MRDS + national surveys); hydrography (HydroSHEDS + HydroLAKES); remote sensing imagery (Landsat 8 OLI 2022, optionally Sentinel-2); DEM/topography (SRTM, Copernicus DEM); geology/lithostratigraphy (national geological maps, OneGeology) and Administrative & ecological boundaries (GADM, WDPA) for four SSA countries, Tanzania, the DRC, Nigeria, and South Africa, were purposively selected based on the scale of mineral exploitation, ecological sensitivity, and representation of distinct hydrogeological regimes.
DOI: 10.6084/m9.figshare.30233305.v2
title: Datasets for geospatial Modelling of Potential Mining Impacts on Karst Aquifers and Surface Waters in Four Sub-Saharan African Countries

description: The study implemented a comparative geospatial framework integrating remote sensing, GIS-based spatial modelling, and hydrological landscape analysis. We assessed the proximity of mineral deposits to freshwater features, rivers, lakes, and karst zones, using Euclidean distance and spatial overlay methods. These metrics were synthesised into an Environmental Exposure Index (EEI) to identify hotspots of hydrological vulnerability. The dataset consists of Geospatial datasets were sourced from the United States Geological Survey (USGS), HydroSHEDS, and respective national geological surveys. Landsat 8 Operational Land Imager (OLI) imagery (2022) was used to establish a multispectral baseline for land cover referencing and environmental validation. Mineral deposit coordinates were harmonised by aggregating spatial clusters using a centroid-based approach, reducing spatial redundancy, and standardising analytical units. Karst terrains were delineated from lithostratigraphic layers identifying carbonate-rich formations (e.g., dolomite, limestone), while hydrological features, including rivers, lakes, and reservoirs, were mapped using high-resolution hydrographic shapefiles and validated against RS imagery and topographic overlays. The following dataset were used in the study; mineral deposits (USGS MRDS + national surveys); hydrography (HydroSHEDS + HydroLAKES); remote sensing imagery (Landsat 8 OLI 2022, optionally Sentinel-2); DEM/topography (SRTM, Copernicus DEM); geology/lithostratigraphy (national geological maps, OneGeology) and Administrative & ecological boundaries (GADM, WDPA) for four SSA countries, Tanzania, the DRC, Nigeria, and South Africa, were purposively selected based on the scale of mineral exploitation, ecological sensitivity, and representation of distinct hydrogeological regimes.
DOI: 10.25919/38r8-x098
title: NBDL-J1XVBWSSGV6BCR
DOI: 10.25919/asy9-ys19
title: NBDL-HK3Q0HASJJA7P2
DOI: 10.15468/dl.75fkjc
title: Occurrence Download

description: A dataset containing 6869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Italy",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mareca strepera",
 "Year 2000-2025"
 ]
}

 The dataset includes 6869 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029474-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/1vmf-c026
title: NBDL-J1XVBWSPJV66CC
DOI: 10.25919/7qgg-a530
title: NBDL-JFE9FMRHMHHSZA
DOI: 10.15468/dl.hnnqit
title: Occurrence Download

description: A dataset containing 37855 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is South America",
 "Continent is North America"
 ]
 },
 {
 "or" : [
 "Issue is Coordinate out of range",
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum invalid",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate reprojected",
 "Issue is Coordinate reprojection failed",
 "Issue is Coordinate reprojection suspicious",
 "Issue is Coordinate accuracy invalid",
 "Issue is Coordinate precision invalid",
 "Issue is Coordinate uncertainty meters invalid",
 "Issue is Coordinate precision/uncertainty mismatch",
 "Issue is Country coordinate mismatch",
 "Issue is Country mismatch",
 "Issue is Country invalid",
 "Issue is Country derived from coordinates",
 "Issue is Continent country mismatch",
 "Issue is Continent invalid",
 "Issue is Continent derived from coordinates",
 "Issue is Presumed swapped coordinate",
 "Issue is Presumed negated longitude",
 "Issue is Presumed negated latitude",
 "Issue is Recorded date mismatch",
 "Issue is Recorded date invalid",
 "Issue is Recorded date unlikely",
 "Issue is Taxon match fuzzy",
 "Issue is Taxon match higher rank",
 "Issue is Taxon match none",
 "Issue is Depth not metric",
 "Issue is Depth unlikely",
 "Issue is Depth min max swapped",
 "Issue is Depth non numeric",
 "Issue is Elevation unlikely",
 "Issue is Elevation min max swapped",
 "Issue is Elevation not metric",
 "Issue is Elevation non numeric",
 "Issue is Modified date invalid",
 "Issue is Modified date unlikely",
 "Issue is Identified date unlikely",
 "Issue is Identified date invalid",
 "Issue is Basis of record invalid",
 "Issue is Type status invalid",
 "Issue is Multimedia date invalid",
 "Issue is Multimedia URI invalid",
 "Issue is References URI invalid",
 "Issue is Error during interpretation",
 "Issue is Individual count invalid"
 ]
 },
 "TaxonKey is Culicidae"
 ]
}

 The dataset includes 37855 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006716-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ct2jt8
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.98331 2.40667,-62.01669 2.40667,-62.01669 13.59333,-89.98331 13.59333,-89.98331 2.40667))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ephedranthus columbianus Maas & van Setten"
 ]
}

 The dataset includes 54 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084449-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54sjfa
title: Occurrence Download

description: A dataset containing 270481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mus Linnaeus, 1758, Mus, Musa L., Mus Linnaeus, 1758, Mus, Musa L., Mus Linnaeus, 1758, Mus, Musa L., Mus Linnaeus, 1758, Mus, Musa L., Mus Linnaeus, 1758, Mus, Musa L., Muscardinus Kaup, 1829, Muscarinus Gray, 1840, Mascarinus Lesson, 1830, Muscardinulus Thaler, 1966, Mustela Linnaeus, 1758, Mustela Bechstein, 1800, Mustela Blasius, 1857, Mustela Cloquet, 1824, Mustela Oken, 1817, Mustel Oken, 1817, Mustelia Spreng., Mustelia Steud., Mustella Scopoli, 1777, Mutela Scopoli, 1777, Mutela Scopoli, 1777, Mustela Linnaeus, 1758, Mustela Bechstein, 1800, Mustela Blasius, 1857, Mustela Cloquet, 1824, Mustela Oken, 1817, Mustel Oken, 1817, Mustelia Spreng., Mustelia Steud., Mustella Scopoli, 1777, Mutela Scopoli, 1777, Mutela Scopoli, 1777, Mustela Linnaeus, 1758, Mustela Bechstein, 1800, Mustela Blasius, 1857, Mustela Cloquet, 1824, Mustela Oken, 1817, Mustel Oken, 1817, Mustelia Spreng., Mustelia Steud., Mustella Scopoli, 1777, Mutela Scopoli, 1777, Mutela Scopoli, 1777, Mustela Linnaeus, 1758, Mustela Bechstein, 1800, Mustela Blasius, 1857, Mustela Cloquet, 1824, Mustela Oken, 1817, Mustel Oken, 1817, Mustelia Spreng., Mustelia Steud., Mustella Scopoli, 1777, Mutela Scopoli, 1777, Mutela Scopoli, 1777, Mustela Linnaeus, 1758, Mustela Bechstein, 1800, Mustela Blasius, 1857, Mustela Cloquet, 1824, Mustela Oken, 1817, Mustel Oken, 1817, Mustelia Spreng., Mustelia Steud., Mustella Scopoli, 1777, Mutela Scopoli, 1777, Mutela Scopoli, 1777, Mustela Linnaeus, 1758, Mustela Bechstein, 1800, Mustela Blasius, 1857, Mustela Cloquet, 1824, Mustela Oken, 1817, Mustel Oken, 1817, Mustelia Spreng., Mustelia Steud., Mustella Scopoli, 1777, Mutela Scopoli, 1777, Mutela Scopoli, 1777, Mustela Linnaeus, 1758, Mustela Bechstein, 1800, Mustela Blasius, 1857, Mustela Cloquet, 1824, Mustela Oken, 1817, Mustel Oken, 1817, Mustelia Spreng., Mustelia Steud., Mustella Scopoli, 1777, Mutela Scopoli, 1777, Mutela Scopoli, 1777, Mustela Linnaeus, 1758, Mustela Bechstein, 1800, Mustela Blasius, 1857, Mustela Cloquet, 1824)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 270481 records from 858 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014746-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.o7ksb2
title: Occurrence Download

description: A dataset containing 907 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gaultheria glomerata (Cav.) Sleumer"
 ]
}

 The dataset includes 907 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008681-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.esxy5p
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sedum versadense C.H.Thomps."
 ]
}

 The dataset includes 30 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053792-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxntdr
title: Occurrence Download

description: A dataset containing 522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Tamandua mexicana (Saussure, 1860)"
 ]
}

 The dataset includes 522 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019336-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbcyvg
title: Occurrence Download

description: A dataset containing 3213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Cuniculus paca (Linnaeus, 1766)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3213 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008681-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rwgwe
title: Occurrence Download

description: A dataset containing 69572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from coordinates, Occurrence status inferred from individual count)",
 "OccurrenceStatus is Present",
 "TaxonKey is Vipera berus (Linnaeus, 1758)",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 69572 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058101-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdujx2
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "HasCoordinate is true",
 "TaxonKey is Caracolus sagemon (H.Beck, 1837)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 78 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007188-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr4q9k
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Guam",
 "DatasetKey is University of Guam Insect Collection",
 {
 "or" : [
 "TaxonKey is Papilio polytes Linnaeus, 1758",
 "TaxonKey is Catopsilia pomona (Fabricius, 1775)",
 "TaxonKey is Euploea eunice (Godart)",
 "TaxonKey is Eurema blanda (Boisduval, 1836)",
 "TaxonKey is Hypolimnas anomala (Wallace, 1869)",
 "TaxonKey is Hypolimnas bolina (Linnaeus, 1758)",
 "TaxonKey is Melanitis leda Linnaeus, 1758",
 "TaxonKey is Papilio xuthus Linnaeus, 1767"
 ]
 }
 ]
}

 The dataset includes 203 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061877-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ic6qfz
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Tridax candidissima A.Gray"
 ]
}

 The dataset includes 41 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008681-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8sgge
title: Occurrence Download

description: A dataset containing 3200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Magnolia grandiflora L.",
 "Year 2015-2020"
 ]
}

 The dataset includes 3200 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081372-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c39qxg
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Guatemala",
 "Country is Belize",
 "Country is Honduras",
 "Country is Costa Rica",
 "Country is Nicaragua",
 "Country is Panama",
 "Country is Mexico"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Sus scrofa domesticus Erxleben, 1777"
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009959-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10878385
title: FloodSformer: Dam-Break datasets&checkpoints

description: Data used for the paper: Pianforini et al. (2024). Real-Time Flood Maps Forecasting for Dam-Break Scenarios with a Transformer-Based Deep Learning Model. Journal of Hydrology, 635, 131169. https://doi.org/10.1016/j.jhydrol.2024.131169

 





The repository contains the training/testing datasets and the checkpoints for two test cases:

1.   Dam-break in a channel with a parabolic cross section

2.   Dam-break in a rectangular tank

The data for the third test case are unavailable due to restrictions on data permissions.


More detailed information on the repository content are provided in the README.md file.



 

Acknowledgements

This research was granted by University of Parma through the action “Bando di Ateneo 2022 per la ricerca” co-funded by MUR-Italian Ministry of Universities and Research - D.M. 737/2021 - PNR - PNRR – NextGenerationEU.

Renato Vacondio and Susanna Dazzi acknowledge financial support from the PNRR MUR project ECS_00000033_ECOSISTER.
DOI: 10.15468/dl.ba3djb
title: Occurrence Download

description: A dataset containing 2849436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acridotheres tristis (Linnaeus, 1766))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2849436 records from 294 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058134-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ef47d
title: Occurrence Download

description: A dataset containing 1064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fumaria officinalis subsp. officinalis",
 "Year 1950-2025"
 ]
}

 The dataset includes 1064 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019450-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s78ycx
title: Occurrence Download

description: A dataset containing 684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, INSDC Sequences, International Barcode of Life project (iBOL), INSDC Host Organism Sequences, Natural History Museum (London) Collection Specimens, NSW DPI Biosecurity Collections, Référentiel taxonomique national (TAXREF) - Inventaire des Collectivités d'outre-mer et de la métropole (ICOM_14) issu des données biogéographiques de TAXREF v14, Référentiel taxonomique national (TAXREF) - Inventaire des Collectivités d'outre-mer et de la métropole (ICOM_15) issu des données biogéographiques de TAXREF v15, Référentiel taxonomique national (TAXREF)-Inventaire des Collectivités d'outre-mer et de la métropole issu des données biogéographiques de TAXREF, New Zealand Arthropod Collection - Symbiota)",
 "OccurrenceStatus is Present",
 "TaxonKey is Phenacoccus solenopsis Tinsley, 1898"
 ]
}

 The dataset includes 684 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019451-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etat7z
title: Occurrence Download

description: A dataset containing 380644 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Natural History Museum Rotterdam - Specimens"
 ]
}

 The dataset includes 380644 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019444-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.