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

description: A dataset containing 530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eriocnemis derbyi (Delattre & Bourcier, 1846)",
 "Country is Colombia"
 ]
}

 The dataset includes 530 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001922-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3n4ry5
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sonneratia ovata Backer"
 ]
}

 The dataset includes 297 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174352-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ogcwcj
title: Occurrence Download

description: A dataset containing 2909 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Bhutan",
 "Country is Nepal",
 "Country is China",
 "Country is India"
 ]
 },
 "TaxonKey is Festuca Tourn. ex L."
 ]
}

 The dataset includes 2909 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026374-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1oncoa
title: Occurrence Download

description: A dataset containing 36268 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Procyon Storr, 1780"
 ]
}

 The dataset includes 36268 records from 285 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026393-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enloq6
title: Occurrence Download

description: A dataset containing 2469 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothriochloa barbinodis (Lag.) Herter"
 ]
}

 The dataset includes 2469 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001923-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.habu5r
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Mazama bricenii Thomas, 1908"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174362-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8ukrw
title: Occurrence Download

description: A dataset containing 680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Megascops sanctaecatarinae (Salvin, 1897)"
 ]
}

 The dataset includes 680 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242347-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpk8hd
title: Occurrence Download

description: A dataset containing 5446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.78474 2.26021,-75.26383 2.26021,-75.26383 5.0045,-77.78474 5.0045,-77.78474 2.26021))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bacteria"
 ]
}

 The dataset includes 5446 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174377-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udosmh
title: Occurrence Download

description: A dataset containing 536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reptilia",
 "Country is Panama",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-80 7,-80 10,-76 10,-76 7,-80 7))"
 ]
}

 The dataset includes 536 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001923-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xbqr8
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Cepphus grylle (Linnaeus, 1758)",
 "StateProvince is England",
 "Year 2000-2020"
 ]
}

 The dataset includes 294 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040985-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krfjes
title: Occurrence Download

description: A dataset containing 687484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myotis Kaup, 1829",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 687484 records from 333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001923-150422101436696/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8wuv6
title: Occurrence Download

description: A dataset containing 18333 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triadica sebifera (L.) Small"
 ]
}

 The dataset includes 18333 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174398-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rtzhe
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phaseolus juquilensis A.Delgado"
 ]
}

 The dataset includes 32 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185404-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgoaif
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alytes maurus Pasteur & Bons, 1962"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026383-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxcynq
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psidium guajava L.",
 "Country is Brazil"
 ]
}

 The dataset includes 137 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001923-150504100648427/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxj4yn
title: Occurrence Download

description: A dataset containing 4419 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Swietenia macrophylla G.King"
 ]
}

 The dataset includes 4419 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174359-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i06kbf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "OccurrenceId" : [
 "is Ugent:UGMD:1194"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011461-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uezh2
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saurauia serrata Moc. & Sessé ex DC.",
 "Country is Mexico",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001923-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ra4pxa
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pisonia jamaicensis Proctor ex Caraballo, K.Campbell & S.J.Cross"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185403-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kidlqq
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Saccharum officinarum L."
 ]
}

 The dataset's 2 records were derived from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024675-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eeb6hb
title: Occurrence Download

description: A dataset containing 1414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyla femoralis Bosc, 1800",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1414 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001923-150912100344238/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17716642
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2000m, Global model CanESM5, scenario ssp245 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17716643
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2000m, Global model CanESM5, scenario ssp245 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.15129/df7cc895-1091-4cd6-bf2c-7b5ebd203e55
title: Data for : "OHL-UK: Wooden Utility Pole and Electrical Sign Corpus with Trained Detection and Segmentation Models"

description: The OHL-UK dataset and trained models support the BMVC 2025 paper “Advancing Utility Pole and Sign Detection Through Deep Learning” by Carl Dickinson and Gaetano Di Caterina. The dataset consists of ground-level imagery of wooden utility poles without crossarms and their associated electrical warning signs. It was created to enable research in object detection, instance segmentation, and pole lean estimation for UK overhead line infrastructure.

Images were collected using the Google Street View API from over 670,000 geographic coordinates supplied by UK Power Networks, with four compass views captured at each point. All images are 640 × 640 pixel JPEGs and were manually filtered to remove irrelevant scenes. Two object classes are annotated: wooden poles and electrical warning signs. Annotations are provided in COCO JSON format, with the test set extended with pole lean angle information.

The dataset is organised into three components: Object Detection, Segmentation, and Test Images. A Models folder contains best-performing trained weights for DETR, DINO-DETR, Faster R-CNN, RetinaNet, YOLOv3-tiny, and YOLOv8 architectures, in formats including PyTorch, TensorFlow/Keras, and Darknet.

The dataset is openly available under a CC-BY 4.0 licence. Creator: Carl Dickinson, Department of Electronic and Electrical Engineering, University of Strathclyde.
DOI: 10.5281/zenodo.17716687
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2000m, Global model CanESM5, scenario ssp370 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17716688
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2000m, Global model CanESM5, scenario ssp370 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17716698
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2000m, Global model CanESM5, scenario ssp585 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17716697
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2000m, Global model CanESM5, scenario ssp585 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.22029/jlupub-20352
title: Data for "Ozone-tolerant rice for air-polluted environments"

description: Description of dataset This dataset provides data from a project aimed at breeding of ozone tolerant rice lines. The lines were developed by introgressing previously reported ozone tolerance QTL (Frei et al. 2008) into the Bangladeshi elite rice varieties BINA dhan11 and BRRI dhan 28. The genetic markers and genotypes of the resulting lines are documented in the file ‘Sequence and Genotyping’. The different lines were then tested in a greenhouse experiment and field experiment (ozone concentrations, see file ‘Ozone data’). The remaining files present physiological and morphological data of the different breeding lines under control and high ozone conditions. Abbreviations - O3 = ozone - ppm = parts per million - ppb = parts per billion - KASP = Kompetitive Allele-Specific PCR - LBS = leaf bronzing score - NDVI = normalized difference vegetation index - Lic2 = Lichtenthaler index 2 (representing carotenoid/chlorophyll ratio) - SC = stomatal conductance - PhiPS2 = Quantum efficiency of photosystem 2 of light adapted leaves - A = CO2 assimilation rate - MDA = malondialdehyde References - Frei M, Tanaka JP, Wissuwa M (2008) Genotypic variation in tolerance to elevated ozone in rice: dissection of distinct genetic factors linked to tolerance mechanisms. Journal of Experimental Botany 59, 3741-3752. - Alam MA, Islam MM, Do MK, Osimahon BO, Karki AK, Baburajan AI, Hartung M, Autarmat S, Feng Y, Wissuwa M, Frei M (2025) Ozone-tolerant rice for air-polluted environments. Global Change Biology, in press.
DOI: 10.5281/zenodo.17716707
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2000m, Global model EC-EARTH3 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17716706
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2000m, Global model EC-EARTH3 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5525/gla.researchdata.2092
title: Multifunctional Fe-doped MOF-808 Nanocomposites for Chemo/Chemodynamic Synergistic Therapy

description: Experimental data to accompany publication.
DOI: 10.5281/zenodo.17716806
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2000m, Global model MPI-ESM1-2-HR -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17716805
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2000m, Global model MPI-ESM1-2-HR -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17716843
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2m, Global model CanESM5, scenario Historical -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17716844
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2m, Global model CanESM5, scenario Historical -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17750018
title: weecology/portal-forecasts: 2025-11-28

description: Weekly forecasts for the Portal Project rodent population data. This dataset contains automated forecasts generated using multiple ecological forecasting models for the Portal Project's long-term rodent population study site in Arizona, USA.
description: This release contains the latest automated forecasts from the Portal Project forecasting pipeline. The forecasts are generated weekly and include predictions for multiple rodent species at the Portal Project study site. Data includes both abundance and biomass forecasts with associated uncertainty estimates.
DOI: 10.5281/zenodo.17716855
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2m, Global model CanESM5, scenario ssp126 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17716856
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2m, Global model CanESM5, scenario ssp126 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17750459
title: Predictive ability and RMSE data from regularized neural networks