cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17699315
title: Sample based prevalence data complementing the European Union One Health 2024 Zoonoses Report - Finland

description: This dataset contains monitoring 2024 data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; FI; csv; zoonoses_support:efsa.europa.eu
DOI: 10.5281/zenodo.17699314
title: Sample based prevalence data complementing the European Union One Health 2024 Zoonoses Report - Finland

description: This dataset contains monitoring 2024 data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; FI; csv; zoonoses_support:efsa.europa.eu
DOI: 10.17026/ar/5svabf
title: PAN-00175390 - seal lead with connecting strip

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175390&lt;/p&gt;
description: Modified: 2025-10-22T10:14:05+02:00
DOI: 10.15468/dl.9wdxn2
title: Occurrence Download

description: A dataset containing 11493953 records in GBIF matching the query:
SELECT DISTINCT
 scientificname,
 countrycode
FROM
 occurrence
WHERE
 occurrence.countrycode IS NOT NULL

 The dataset's 11493953 records were derived from 82221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040202-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17699215
title: Food and waterborne outbreaks data complementing the European Union One Health 2024 Zoonoses Report

description: Food and waterborne outbreaks 2024 data reported under the framework of Directive 2003/99/EC and in accordance with the update of the technical specifications for harmonised reporting of FBOs through the EU reporting system in accordance with Directive 2003/99/EC. This dataset includes the number of outbreaks, as well as the number of human cases, hospitalisations and deaths, per causative agent. In addition, other information can include data on causative agents, food vehicles, and the factors in food preparation and handling that contributed to the food-borne outbreaks. Reporting countries can also provide information on the nature of the evidence supporting the suspicion of the food vehicle. This evidence can be epidemiological, microbiological, descriptive environmental, or based on product tracing investigations. 
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.17699216
title: Food and waterborne outbreaks data complementing the European Union One Health 2024 Zoonoses Report

description: Food and waterborne outbreaks 2024 data reported under the framework of Directive 2003/99/EC and in accordance with the update of the technical specifications for harmonised reporting of FBOs through the EU reporting system in accordance with Directive 2003/99/EC. This dataset includes the number of outbreaks, as well as the number of human cases, hospitalisations and deaths, per causative agent. In addition, other information can include data on causative agents, food vehicles, and the factors in food preparation and handling that contributed to the food-borne outbreaks. Reporting countries can also provide information on the nature of the evidence supporting the suspicion of the food vehicle. This evidence can be epidemiological, microbiological, descriptive environmental, or based on product tracing investigations. 
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.17698791
title: Animal disease data complementing the European Union One Health 2024 Zoonoses Report

description: This dataset contains the mandatory 2024 data reported for bovine tuberculosis and for bovine and ovine and caprine brucellosis based on Directive 2003/99.
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.17698790
title: Animal disease data complementing the European Union One Health 2024 Zoonoses Report

description: This dataset contains the mandatory 2024 data reported for bovine tuberculosis and for bovine and ovine and caprine brucellosis based on Directive 2003/99.
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.17698535
title: Animal population data complementing the European Union One Health 2024 Zoonoses Report

description: This dataset includes 2024 animal population aggregated data under the framework of Directive 2003/99/EC.
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.17698536
title: Animal population data complementing the European Union One Health 2024 Zoonoses Report

description: This dataset includes 2024 animal population aggregated data under the framework of Directive 2003/99/EC.
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.17472967
title: Groundwater Isoscape for India (δ¹⁸O, δD, d-excess)

description: This dataset provides gridded stable isotope compositions (δ¹⁸O, δD, and d-excess) of groundwater across India at 0.25° × 0.25° spatial resolution.

The data were generated using kriging-based geostatistical interpolation of 5,928 groundwater samples collected from diverse climatic regions across India, compiled from 20 independent sources. Each raster is stored as a GeoTIFF file in WGS84 coordinates (EPSG:4326). Uncertainty (standard deviation) layers accompany each isotope map.

These data support an upcoming manuscript, "Are groundwater isotope linearly associated with climateic and geographical variables? An invedstigation using the Generalised Additive Model" intended for submission to Journal of Hydrology, and are publicly available for open scientific use and citation.

File Overview:





o18.tif — Oxygen isotope composition (δ¹⁸O, ‰, VSMOW)




o18_sd.tif — Standard deviation (uncertainty) for δ¹⁸O




dD.tif — Hydrogen isotope composition (δD, ‰, VSMOW)




dD_sd.tif — Standard deviation (uncertainty) for δD




d-excess.tif — Deuterium excess (δD – 8 × δ¹⁸O, ‰)




d-excess_sd.tif — Standard deviation (uncertainty) for d-excess



Dataset Information:








Field
Details




Format
GeoTIFF (.tif)


Projection
EPSG:4326 (WGS84)


Spatial Resolution
0.25° (~27 km)


Extent
68.12°E – 97.37°E, 6.75°N – 37.00°N


Variables
δ¹⁸O, δD, d-excess, and respective SD layers


Units
per mil (‰, relative to VSMOW)


NoData Value
NaN


Data Type
Float32






Usage Notes:The rasters can be visualized and analyzed using GIS software (QGIS, ArcGIS) or Python libraries such as rasterio, xarray, and matplotlib. The uncertainty layers quantify the spatial prediction error from the kriging interpolation.

Embargo Information:The dataset is currently restricted. 

Citation:Sarkar, M., et al. (2025). Groundwater Isotope Raster Maps for India (δ¹⁸O, δD, d-excess) [Data set, Version 2]. Zenodo. https://doi.org/10.5281/zenodo.17472967
DOI: 10.5281/zenodo.17464746
title: Groundwater Isoscape for India (δ¹⁸O, δD, d-excess)

description: This dataset provides gridded stable isotope compositions (δ¹⁸O, δD, and d-excess) of groundwater across India at 0.25° × 0.25° spatial resolution.

The data were generated using kriging-based geostatistical interpolation of 5,928 groundwater samples collected from diverse climatic regions across India, compiled from 20 independent sources. Each raster is stored as a GeoTIFF file in WGS84 coordinates (EPSG:4326). Uncertainty (standard deviation) layers accompany each isotope map.

These data support an upcoming manuscript, "Are groundwater isotope linearly associated with climateic and geographical variables? An invedstigation using the Generalised Additive Model" intended for submission to Journal of Hydrology, and are publicly available for open scientific use and citation.

File Overview:





o18.tif — Oxygen isotope composition (δ¹⁸O, ‰, VSMOW)




o18_sd.tif — Standard deviation (uncertainty) for δ¹⁸O




dD.tif — Hydrogen isotope composition (δD, ‰, VSMOW)




dD_sd.tif — Standard deviation (uncertainty) for δD




d-excess.tif — Deuterium excess (δD – 8 × δ¹⁸O, ‰)




d-excess_sd.tif — Standard deviation (uncertainty) for d-excess



Dataset Information:








Field
Details




Format
GeoTIFF (.tif)


Projection
EPSG:4326 (WGS84)


Spatial Resolution
0.25° (~27 km)


Extent
68.12°E – 97.37°E, 6.75°N – 37.00°N


Variables
δ¹⁸O, δD, d-excess, and respective SD layers


Units
per mil (‰, relative to VSMOW)


NoData Value
NaN


Data Type
Float32






Usage Notes:The rasters can be visualized and analyzed using GIS software (QGIS, ArcGIS) or Python libraries such as rasterio, xarray, and matplotlib. The uncertainty layers quantify the spatial prediction error from the kriging interpolation.

Embargo Information:The dataset is currently restricted. 

Citation:Sarkar, M., et al. (2025). Groundwater Isotope Raster Maps for India (δ¹⁸O, δD, d-excess) [Data set, Version 2]. Zenodo. https://doi.org/10.5281/zenodo.17472967
DOI: 10.5281/zenodo.17476942
title: Tables, figures, and country data complementing the European Union One Health Zoonoses 2024 Report

description: All summary tables and figures produced for the European Union One Health 2024 Zoonoses Report are provided as archives containing Excel files for tables, and as PDF or PNG files for figures.

All country data connected to this Report are published SEPARATELY on Knowledge Junction - see related identifiers. This is because DATA OWNERSHIP for country data stays with the organisation(s) of the country submitting the data.

Supplementary datasets submitted are given in the related identifier section, however for clarity we give here the information on what they refer to:

10.5281/zenodo.17699216 Foodborne outbreaks

10.5281/zenodo.17698791 Disease status

10.5281/zenodo.17698536 Animal Population

10.5281/zenodo.17454650 Prevalence

Sample-based data submitted by specific countries

10.5281/zenodo.17699515 Croatia

10.5281/zenodo.17699315 Finland

10.5281/zenodo.17699448 Germany

10.5281/zenodo.17700174 Ireland

10.5281/zenodo.17700544 Luxembourg

10.5281/zenodo.17700602 Norway

10.5281/zenodo.17700657 Sweden

10.5281/zenodo.17701722 United Kingdom (Northern Ireland)

 

Journal article: https://www.efsa.europa.eu/en/efsajournal/pub/9759 
description: EU; xlsx; https://connect.efsa.europa.eu/RM/s/help
DOI: 10.5281/zenodo.17476941
title: Tables, figures, and country data complementing the European Union One Health Zoonoses 2024 Report

description: All summary tables and figures produced for the European Union One Health 2024 Zoonoses Report are provided as archives containing Excel files for tables, and as PDF or PNG files for figures.

All country data connected to this Report are published SEPARATELY on Knowledge Junction - see related identifiers. This is because DATA OWNERSHIP for country data stays with the organisation(s) of the country submitting the data.

Supplementary datasets submitted are given in the related identifier section, however for clarity we give here the information on what they refer to:

10.5281/zenodo.17699216 Foodborne outbreaks

10.5281/zenodo.17698791 Disease status

10.5281/zenodo.17698536 Animal Population

10.5281/zenodo.17454650 Prevalence

Sample-based data submitted by specific countries

10.5281/zenodo.17699515 Croatia

10.5281/zenodo.17699315 Finland

10.5281/zenodo.17699448 Germany

10.5281/zenodo.17700174 Ireland

10.5281/zenodo.17700544 Luxembourg

10.5281/zenodo.17700602 Norway

10.5281/zenodo.17700657 Sweden

10.5281/zenodo.17701722 United Kingdom (Northern Ireland)

 

Journal article: https://www.efsa.europa.eu/en/efsajournal/pub/9759 
description: EU; xlsx; https://connect.efsa.europa.eu/RM/s/help
DOI: 10.15468/dl.dymhnp
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephasoma flagriferum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 152 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040229-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/aoxjv6
title: PAN-00122805 - smooth ware jug type Niederb. 61

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00122805&lt;/p&gt;
description: Modified: 2025-11-03T15:13:47+01:00
DOI: 10.15468/dl.w43zav
title: Occurrence Download

description: A dataset containing 913995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae)",
 "Year is one of (2022, 2023, 2024, 2025)",
 "Geometry POLYGON((10.868610 54.559029, 15.193056 54.559029, 15.193056 56.200417, 10.868610 56.200417, 10.868610 54.559029))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 913995 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040199-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17454649
title: Prevalence data complementing the European Union One Health 2024 Zoonoses Report

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation is: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.17454650
title: Prevalence data complementing the European Union One Health 2024 Zoonoses Report

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation is: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.15468/dl.vkgq3m
title: Occurrence Download

description: A dataset containing 21771 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Berchemia"
 ]
}

 The dataset includes 21771 records from 338 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040228-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bk7q6k
title: Occurrence Download

description: A dataset containing 640274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -5.914722",
 "DecimalLatitude is less than or equal to -0.914722",
 "DecimalLongitude is greater than or equal to -80.0",
 "DecimalLongitude is less than or equal to -75.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 640274 records from 304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040174-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24435/materialscloud:dd-gj
title: Extensive band gap tunability in covalent organic frameworks via metal intercalation and high pressure

description: Covalent organic frameworks (COFs) are materials of growing interest for electronic applications due to their tunable structures, chemical stability, and layered architectures that support extended π-systems and directional charge transport. While their electronic properties are strongly influenced by the choice of molecular building blocks and the stacking arrangement, experimental control over these features remains limited, and the number of well-characterized COFs is still relatively small. Here, we explore two alternative strategies, hydrostatic pressure and metal intercalation, to tune the electronic structure of COFs. Using periodic density functional theory (DFT) calculations, we show that the band gap of pristine COF-1 decreases by ∼1 eV under compression up to 10 GPa. Metal intercalation induces an even greater reduction, in some cases leading to metallic behavior. We demonstrate that pressure and intercalation offer effective, continuous control over COF electronic properties, providing powerful means to complement and extend conventional design approaches.
DOI: 10.24435/materialscloud:yw-3f
title: Extensive band gap tunability in covalent organic frameworks via metal intercalation and high pressure

description: Covalent organic frameworks (COFs) are materials of growing interest for electronic applications due to their tunable structures, chemical stability, and layered architectures that support extended π-systems and directional charge transport. While their electronic properties are strongly influenced by the choice of molecular building blocks and the stacking arrangement, experimental control over these features remains limited, and the number of well-characterized COFs is still relatively small. Here, we explore two alternative strategies, hydrostatic pressure and metal intercalation, to tune the electronic structure of COFs. Using periodic density functional theory (DFT) calculations, we show that the band gap of pristine COF-1 decreases by ∼1 eV under compression up to 10 GPa. Metal intercalation induces an even greater reduction, in some cases leading to metallic behavior. We demonstrate that pressure and intercalation offer effective, continuous control over COF electronic properties, providing powerful means to complement and extend conventional design approaches.
DOI: 10.15468/4ycere
title: Ecological typology of waterways, vegetation surveys

description: Ecological typology of waterways, plant surveys. First official ecological inventarisation of rivers in Flanders. To create a typology based on water quality, morphological and biological characteristics. This subdataset are the macrophytes.We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be.This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO).
DOI: 10.15468/dl.5cdfm3
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephasoma lilljeborgii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 71 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040233-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbbuk8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.38200000000001 0.784184, 99.31173099999999 0.778617, 99.24319199999999 0.762051, 99.178072 0.734896, 99.117974 0.69782, 99.064379 0.651736, 99.01860499999999 0.5977789999999999, 98.981781 0.537278, 98.954812 0.471722, 98.938361 0.402727, 98.932835 0.33199, 98.938368 0.261253, 98.954824 0.192259, 98.981797 0.126706, 99.018625 0.066208, 99.06439899999999 0.012254, 99.117993 -0.033827, 99.178088 -0.07090100000000001, 99.24320400000001 -0.098054, 99.31173699999999 -0.114618, 99.38200000000001 -0.120185, 99.452263 -0.114618, 99.520796 -0.098054, 99.58591199999999 -0.07090100000000001, 99.646007 -0.033827, 99.699601 0.012254, 99.745375 0.066208, 99.782203 0.126706, 99.80917599999999 0.192259, 99.825632 0.261253, 99.831165 0.33199, 99.825639 0.402727, 99.80918800000001 0.471722, 99.782219 0.537278, 99.745395 0.5977789999999999, 99.69962099999999 0.651736, 99.64602600000001 0.69782, 99.585928 0.734896, 99.520808 0.762051, 99.452269 0.778617, 99.38200000000001 0.784184))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040231-251120083545085/datasets/export for details.
DOI: 10.15468/dl.65bdfa
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "TaxonKey is Setaria italica"
 ]
}

 The dataset includes 38 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040230-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ashjur
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ambrosia trifida",
 "Year 1981-2010"
 ]
}

 The dataset includes 243 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040232-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dks8sj
title: Occurrence Download

description: A dataset containing 14227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Icaricia icarioides"
 ]
}

 The dataset includes 14227 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040234-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.