cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14276768
title: L'ORA – A Living One Health Risk Assessment tool to assess the incursion risk of zoonotic diseases – Supplementary materials

description: Background info

Safeguarding global health is a moving target, with changes in climate and human activity raising new threats to public health, animal health and animal welfare. Decision support in the context of health management requires tools capable of making sense of large volumes of complex and multidisciplinary evidence. A One Health living risk assessment tool, L’ORA, was developed to assess the incursion risk for zoonotic and animal diseases using a One Health approach and allowing for automatic updates of the risk assessment. L’ORA estimates the incursion risk as the resultant of four steps: 1) Disease occurrence in source areas based on the distribution of diseases worldwide; 2) Rate of incursion based on the individuals or products moved from source areas to target areas and their probability of infection or contamination and contact with susceptible hosts in target areas; 3) Extent of disease spread in target areas, considering both domestic and wild host populations, vectors if the disease is vector-borne, and humans if the disease is zoonotic; and 4) Impact of the disease outbreak and concurrent control measures on public health, animal health and animal welfare, accounting for economic, societal, and environmental impacts. L’ORA is a decision support tool that was built as a generic tool comparing the relative risks of multiple diseases across multiple target areas. L’ORA evaluates the incursion risk on a monthly basis for each NUTS2 region in the European Union. Results can be used to identify areas of greater risk for each of the diseases to inform risk managers on where to focus attention and resources, and to inform, e.g., risk-based surveillance. These supplementary files are disease specific data collections used by the L’ORA tool, which will be updated when needed.

Authors

De Vos, C.J.1, Counotte, M.J.1, Snary, E.2, Nauta, M.3, Acosta A.4, Dolman, M.A.6, Ligtenberg, J.5, Boklund, A.5, Roberts, H.7, Comin, A.4, Swanenburg, M.1, Van Asseldonk, M.A.P.M.6, Hultén, C.4, Gonzales, J.1, Westerhof, E.J.G.M.5, Serwin, D.2, Jokelainen, P.3, Kirkeby, C.T.5, Evans, D.2, Kim, H.4, Cobbold, C.2, Horigan, V.2, Simons, R.R.L.2, Brown, D.2, Dórea, F.4

1 Wageningen Bioveterinary Research, Wageningen University & Research, Lelystad, The Netherlands

2 Department of Epidemiological Sciences, WOAH Collaborating Centre for Risk Analysis and Modelling, Animal and Plant Health Agency, Weybridge, United Kingdom

3 Statens Serum Institut, Copenhagen, Denmark

4 Department of Epidemiology, Surveillance and Risk Assessment, Swedish Veterinary Agency, Uppsala, Sweden

5 Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark

6 Wageningen Economic Research, Wageningen University & Research, The Hague, The Netherlands

7 Department for Environment, Food & Rural Affairs, London, United Kingdom

Contact person: Vos, Clazien de clazien.devos@wur.nl
description: DOCX;Excel;EU;biohaw@efsa.europa.eu
DOI: 10.5281/zenodo.14795349
title: L'ORA – A Living One Health Risk Assessment tool to assess the incursion risk of zoonotic diseases – Supplementary materials

description: Background info

Safeguarding global health is a moving target, with changes in climate and human activity raising new threats to public health, animal health and animal welfare. Decision support in the context of health management requires tools capable of making sense of large volumes of complex and multidisciplinary evidence. A One Health living risk assessment tool, L’ORA, was developed to assess the incursion risk for zoonotic and animal diseases using a One Health approach and allowing for automatic updates of the risk assessment. L’ORA estimates the incursion risk as the resultant of four steps: 1) Disease occurrence in source areas based on the distribution of diseases worldwide; 2) Rate of incursion based on the individuals or products moved from source areas to target areas and their probability of infection or contamination and contact with susceptible hosts in target areas; 3) Extent of disease spread in target areas, considering both domestic and wild host populations, vectors if the disease is vector-borne, and humans if the disease is zoonotic; and 4) Impact of the disease outbreak and concurrent control measures on public health, animal health and animal welfare, accounting for economic, societal, and environmental impacts. L’ORA is a decision support tool that was built as a generic tool comparing the relative risks of multiple diseases across multiple target areas. L’ORA evaluates the incursion risk on a monthly basis for each NUTS2 region in the European Union. Results can be used to identify areas of greater risk for each of the diseases to inform risk managers on where to focus attention and resources, and to inform, e.g., risk-based surveillance. These supplementary files are disease specific data collections used by the L’ORA tool, which will be updated when needed.

Authors

De Vos, C.J.1, Counotte, M.J.1, Snary, E.2, Nauta, M.3, Acosta A.4, Dolman, M.A.6, Ligtenberg, J.5, Boklund, A.5, Roberts, H.7, Comin, A.4, Swanenburg, M.1, Van Asseldonk, M.A.P.M.6, Hultén, C.4, Gonzales, J.1, Westerhof, E.J.G.M.5, Serwin, D.2, Jokelainen, P.3, Kirkeby, C.T.5, Evans, D.2, Kim, H.4, Cobbold, C.2, Horigan, V.2, Simons, R.R.L.2, Brown, D.2, Dórea, F.4

1 Wageningen Bioveterinary Research, Wageningen University & Research, Lelystad, The Netherlands

2 Department of Epidemiological Sciences, WOAH Collaborating Centre for Risk Analysis and Modelling, Animal and Plant Health Agency, Weybridge, United Kingdom

3 Statens Serum Institut, Copenhagen, Denmark

4 Department of Epidemiology, Surveillance and Risk Assessment, Swedish Veterinary Agency, Uppsala, Sweden

5 Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark

6 Wageningen Economic Research, Wageningen University & Research, The Hague, The Netherlands

7 Department for Environment, Food & Rural Affairs, London, United Kingdom

Contact person: Vos, Clazien de clazien.devos@wur.nl
description: DOCX;Excel;EU;biohaw@efsa.europa.eu
DOI: 10.15468/dl.srr2t8
title: Occurrence Download

description: A dataset containing 1683 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus gerstaeckeri Morawitz, 1881"
 ]
}

 The dataset includes 1683 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038732-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n57ukr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinotaenium (Nägeli) Teiling, 1954",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038731-250525065834625/datasets/export for details.
DOI: 10.57833/cidacs/8ualer
title: Extração da coorte de cem milhões vinculada ao Cadastro Único de Brasileiros e ao Sistema de Informações sobre Mortalidade

description: Base produzida e utilizada com a finalidade de alcance do objetivo de "Avaliar o impacto do Bolsa Família (programa de transferência de renda condicionada) na saúde cardiovascular", componente do projeto intitulado: "Grupo De Pesquisa Em Saúde Global Sobre Políticas E Desigualdades Em Saúde – NIHR Global Health Research Group In Social Policy And Health Iniqualities".
DOI: 10.5281/zenodo.15649509
title: Data for Energy Communities Simulation and Research

description: This datasets include data for simulation and research of energy communities. This repository includes data for two systems:



Data15 corresponds to a 15-bus network with 14 prosumers and 4 electric vehicles.

Data33 corresponds to a 33-bus network with 32 prosumers and 8 electric vehicles.


Most of these data have been used in some of my works. Demand profiles for prosumers were generated using the CREST demand model [1].

 

[1] E. McKenna, M. Thomson, J. Barton. CREST demand model. 2020. Online, available at: https://repository.lboro.ac.uk/articles/dataset/CREST_Demand_Model_v2_0/2001129, (accessed on 8 May, 2025).
DOI: 10.5281/zenodo.15649510
title: Data for Energy Communities Simulation and Research

description: This datasets include data for simulation and research of energy communities. This repository includes data for two systems:



Data15 corresponds to a 15-bus network with 14 prosumers and 4 electric vehicles.

Data33 corresponds to a 33-bus network with 32 prosumers and 8 electric vehicles.


Most of these data have been used in some of my works. Demand profiles for prosumers were generated using the CREST demand model [1].

 

[1] E. McKenna, M. Thomson, J. Barton. CREST demand model. 2020. Online, available at: https://repository.lboro.ac.uk/articles/dataset/CREST_Demand_Model_v2_0/2001129, (accessed on 8 May, 2025).
DOI: 10.15468/dl.yyvpkn
title: Occurrence Download

description: A dataset containing 13830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Swiss National Databank of Vascular Plants, Estonian Naturalists’ Society, INPN - Données flore des CBN agrégées par la FCBN, NABU|naturgucker)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cypripedium calceolus L.",
 "Year 2010-2025"
 ]
}

 The dataset includes 13830 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038734-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20394/53yb-kk68
title: Tamoco data
DOI: 10.15468/dl.jr6btr
title: Occurrence Download

description: A dataset containing 34094 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus humilis Illiger, 1806"
 ]
}

 The dataset includes 34094 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038738-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wb6fmv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus deciduus Boeckeler",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038735-250525065834625/datasets/export for details.
DOI: 10.15468/dl.nwqtv5
title: Occurrence Download

description: A dataset containing 1012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Antirrhinum barrelieri Boreau",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1012 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038737-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2qsux
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinotaenium (Nägeli) Teiling, 1954",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038739-250525065834625/datasets/export for details.
DOI: 10.15468/dl.x4zdte
title: Occurrence Download

description: A dataset containing 1231 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Entomología (CE-IRNAD), Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural (IRNAD), Bariloche. Argentina"
 ]
}

 The dataset includes 1231 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038740-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29304856
title: Supplementary Material from Chromatin Dynamics and Transcriptional Regulation of Heat Stress in an Ectothermic Fish

description: SongqianHuang_tables_figures_ESM.rar
DOI: 10.6084/m9.figshare.29304856.v1
title: Supplementary Material from Chromatin Dynamics and Transcriptional Regulation of Heat Stress in an Ectothermic Fish

description: SongqianHuang_tables_figures_ESM.rar
DOI: 10.15468/dl.q27ct3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus deciduus Boeckeler",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038743-250525065834625/datasets/export for details.
DOI: 10.15468/dl.pe2b35
title: Occurrence Download

description: A dataset containing 1046 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Manuelia gayi (Spinola, 1851)"
 ]
}

 The dataset includes 1046 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038744-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13987014
title: Tables, figures, and country data complementing the European Union One Health Zoonoses 2023 Report

description: All summary tables and figures produced for the European Union One Health 2023 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 - for further reference see doi:

Citation

EFSA (European Food Safety Authority) & ECDC (European Centre for Disease Prevention and Control). (2023). Tables, figures, and country data complementing the European Union One Health Zoonoses 2023 Report

https://zenodo.org/records/13987015
description: ZIP;EU;biohaw@efsa.europa.eu
DOI: 10.5281/zenodo.13987015
title: Tables, figures, and country data complementing the European Union One Health Zoonoses 2023 Report

description: All summary tables and figures produced for the European Union One Health 2023 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 - for further reference see doi:

Citation

EFSA (European Food Safety Authority) & ECDC (European Centre for Disease Prevention and Control). (2023). Tables, figures, and country data complementing the European Union One Health Zoonoses 2023 Report

https://zenodo.org/records/13987015
description: ZIP;EU;biohaw@efsa.europa.eu
DOI: 10.15468/dl.zv98cj
title: Occurrence Download

description: A dataset containing 37909 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus jonellus (Kirby, 1802)"
 ]
}

 The dataset includes 37909 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038745-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00011459
title: The Global Research on Antimicrobial Resistance (GRAM)

description: The Global Research on Antimicrobial Resistance (GRAM) Project is a partnership between the University of Oxford and the Institute for Health Metrics and Evaluation (IHME) at the University of Washington, to provide rigorous quantitative estimates of antimicrobial resistance (AMR) burden; to increase global-, regional-, and country-level awareness of AMR; to boost surveillance efforts, particularly in low and middle income countries (LMICs); and, to promote the rational use of antimicrobials worldwide. GRAM estimates the burden of AMR worldwide using data, health statistics and geospatial maps. The team is adapting and refining methodologies established in the Institute for Health Metrics and Evaluation (IHME)'s ongoing Global Burden of Disease (GBD) study to build an evidence base of bacterial AMR across the globe, with corresponding visualisations. Our work investigates the prevalence of resistance in bacterial pathogens, and models covariates relating to the spread of AMR, including global antibiotic consumption and household crowding. GRAM also examines the mortality and morbidity burden of resistance across clinical syndromes from 1990 to the present in all 204 countries and territories included in the GBD study. These findings will assist the global research community and policymakers in tailoring interventions at the local, national, and international level.
DOI: 10.5281/zenodo.15647075
title: CCPD (Chinese City Parking Dataset) for "Research on license plate recognition based on graphically supervised signal-assisted training"

description: This is an archived version of the Chinese City Parking Dataset (CCPD) used for the study: "Research on license plate recognition based on graphically supervised signal-assisted training", published in PeerJ Computer Science.

The original dataset is available at: https://github.com/detectRecog/CCPD

This archive contains the CCPD2019 and CCPD2020 subsets, downloaded from the links provided in the original repository. This upload ensures the long-term availability and reproducibility of the data associated with our publication.
DOI: 10.5281/zenodo.15647076
title: CCPD (Chinese City Parking Dataset) for "Research on license plate recognition based on graphically supervised signal-assisted training"

description: This is an archived version of the Chinese City Parking Dataset (CCPD) used for the study: "Research on license plate recognition based on graphically supervised signal-assisted training", published in PeerJ Computer Science.

The original dataset is available at: https://github.com/detectRecog/CCPD

This archive contains the CCPD2019 and CCPD2020 subsets, downloaded from the links provided in the original repository. This upload ensures the long-term availability and reproducibility of the data associated with our publication.
DOI: 10.15468/dl.dnfwpp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinotaenium (Nägeli) Teiling, 1954",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038747-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15649503
title: database

description: Demented patients data
DOI: 10.5281/zenodo.15649504
title: database

description: Demented patients data
DOI: 10.25345/c5319sf7x
title: MassIVE MSV000098146 - XIAMENUNIVERSITY-QIUYAN-A04-Trichodermamide D
title: A04 Trichodermamide D Trichoderma lixii C20H20N2O9 432.289
DOI: 10.15468/dl.gmczzs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus deciduus Boeckeler",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038748-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15358514
title: Dataset for a Study on Executive Function Training in Children with Cochlear Implants

description: Update: The dataset file has been corrected to resolve formatting issues affecting data import.
DOI: 10.5281/zenodo.15641783
title: Dataset for a Study on Executive Function Training in Children with Cochlear Implants

description: Update: The dataset file has been corrected to resolve formatting issues affecting data import.
DOI: 10.15468/dl.jnr7an
title: Occurrence Download

description: A dataset containing 60267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 60267 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038727-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.