cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25446/oxford.30084736
title: Living mapping review - Pandemic PACT Grant Tracker:

description: The COVID-19 pandemic showed how quickly infectious diseases can spread and highlighted the need for better global research coordination. The Pandemic PACT Programme has created a live database that tracks research funding on diseases that could cause future pandemics, helping to improve preparedness.As of March 2025, the database includes over 20,000 grants from more than 300 funders across 58 countries, representing at least $14.4 billion in financial support. We reviewed this data to understand global research funding trends from 2020 to 2024, focusing on priority diseases and research areas.Our analysis shows that funding is unevenly distributed. Vaccine and therapeutic research receive most of the financial support, but much of it focuses on early-stage clinical trials. Areas such as diagnostics, health systems research, and ethics receive comparatively less attention. Funding is largely concentrated in high-income countries, with limited support for research led by institutions in low- and middle-income countries. Vulnerable populations are also rarely included in funded studies.These findings highlight gaps in global research investment and can help guide better coordination and decision-making to strengthen pandemic preparedness worldwide.
DOI: 10.25446/oxford.30084736.v1
title: Living mapping review - Pandemic PACT Grant Tracker:

description: The COVID-19 pandemic showed how quickly infectious diseases can spread and highlighted the need for better global research coordination. The Pandemic PACT Programme has created a live database that tracks research funding on diseases that could cause future pandemics, helping to improve preparedness.As of March 2025, the database includes over 20,000 grants from more than 300 funders across 58 countries, representing at least $14.4 billion in financial support. We reviewed this data to understand global research funding trends from 2020 to 2024, focusing on priority diseases and research areas.Our analysis shows that funding is unevenly distributed. Vaccine and therapeutic research receive most of the financial support, but much of it focuses on early-stage clinical trials. Areas such as diagnostics, health systems research, and ethics receive comparatively less attention. Funding is largely concentrated in high-income countries, with limited support for research led by institutions in low- and middle-income countries. Vulnerable populations are also rarely included in funded studies.These findings highlight gaps in global research investment and can help guide better coordination and decision-making to strengthen pandemic preparedness worldwide.
DOI: 10.15468/dl.nffz78
title: Occurrence Download

description: A dataset containing 2578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora suberosa",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2578 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045235-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13007283
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.m39wsw
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora suberosa",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045237-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwu45u
title: Occurrence Download

description: A dataset containing 3758 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is Royal Botanic Gardens, Kew - Herbarium Specimens",
 "TaxonKey is Ziziphus"
 ]
}

 The dataset includes 3758 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045236-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hbghj
title: Occurrence Download

description: A dataset containing 67475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 1991"
 ]
}

 The dataset includes 67475 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045202-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5258/soton/wp00833
title: Modelled gridded population estimates Kasaï-Oriental Province in the Democratic Republic of Congo version 4.3

description: This dataset consists of gridded population estimates for the Kasaï-Oriental province in the Democratic Republic of Congo (DRC). It includes gridded population counts with model uncertainty measures and breakdowns in 40 age-sex groups at a spatial resolution of 3 arc-seconds, approximately 100-metre grid cells. The estimates are produced in a Bayesian hierarchical modelling framework by combining population and building count data collected in a microcensus survey, gridded building counts from settlement extent data, and other gridded geospatial covariates. The model estimates and predicts population and building counts based on the microcensus survey data using gridded settlement extent data as an essential model covariate. Although this method incorporates uncertainty in the population and building input data, other unaccounted sources of uncertainty are most likely present. These model-based population estimates can be considered as most accurately representing the year 2024. This time period corresponds to inputs used for Kasaï-Oriental.
The data were produced by the WorldPop Research Group at the University of Southampton as part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The statistical model was designed, developed, and implemented by Gianluca Boo. Data processing was done by Ortis Yankey and Tom Abbott with additional support from Amy Bonnie and Heather Chamberlain. Methodological and project oversight was provided by Chris Nnanatu, Attila Lazar, and Andy Tatem. The microcensus survey data was collected during the GRID3 Mapping for Health project funded by Gavi, the Vaccine Alliance (RM 86720420A2). CIESIN prepared and shared the settlement extent data. The data has been clipped to GRID3-CIESIN health area extent (version 6.0) (CIESIN, 2025). The whole WorldPop group is acknowledged for overall support, particularly Chris Nnanatu, Attila Lazar, and Ortis Yankey for reviewing and providing thoughtful suggestions.
DOI: 10.15468/dl.vucb5u
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora suberosa",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045238-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8kyn5
title: Occurrence Download

description: A dataset containing 543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mictyris brevidactylus"
 ]
}

 The dataset includes 543 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045242-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3w7qru
title: Occurrence Download

description: A dataset containing 1070 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurence of spiders (Araneae) and ants (Formicidae) collected from northern Ghanaian mango orchards and forest savannah"
 ]
}

 The dataset includes 1070 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045239-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e76ecc
title: Occurrence Download

description: A dataset containing 1017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scopolia carniolica",
 "Year 1970-2020"
 ]
}

 The dataset includes 1017 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045240-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw45bm
title: Occurrence Download

description: A dataset containing 604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Metopograpsus thukuhar"
 ]
}

 The dataset includes 604 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045241-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/29625
title: Chandra X-ray Observatory ObsId 29625

description: AO-26 Observations of the Perseus Cluster
DOI: 10.15468/dl.ak3a66
title: Occurrence Download

description: A dataset listing the 9962 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((121.03386 0.03371,125.41985 0.03371,125.41985 1.83757,121.03386 1.83757,121.03386 0.03371))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 9962 records were derived from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045215-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqvhzt
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mictyris guinotae"
 ]
}

 The dataset includes 78 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045245-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kh44au
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haplochromis bicolor)",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045246-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejm9qs
title: Occurrence Download

description: A dataset containing 116721209 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observation.org, Nature data from around the World"
 ]
}

 The dataset includes 116721209 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045211-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xrxwt7
title: Occurrence Download

description: A dataset containing 5606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is IDN.9.14_1"
 ]
}

 The dataset includes 5606 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045248-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5258/soton/wp00819
title: Modelled gridded population estimates for Kasaï-Central Province in the Democratic Republic of Congo version 4.3.

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Kasaï-Central Province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2023, settlement extents and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2023. This time period corresponds to inputs used for Kasaï-Central. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Chris Nnanatu. Data processing was done by Ortis Yankey with additional support from Heather Chamberlain. Project oversight was done by Attila Lazar, Chris Nnanatu and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns were collected, processed, anonymised and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 6.0) (CIESIN, 2025)
DOI: 10.5281/zenodo.17085044
title: Identifying Cost-Optimal Renewable Energy Transition Pathways for Mauritius Using the CLEWs Framework and OSeMOSYS

description: This MDI data includes all the data that are used for modelling the energy transition of Mauritius using OSeMOSYS.
DOI: 10.5281/zenodo.17085045
title: Identifying Cost-Optimal Renewable Energy Transition Pathways for Mauritius Using the CLEWs Framework and OSeMOSYS

description: This MDI data includes all the data that are used for modelling the energy transition of Mauritius using OSeMOSYS.
DOI: 10.25574/42145
title: Chandra X-ray Observatory ObsId 42145
DOI: 10.25574/42149
title: Chandra X-ray Observatory ObsId 42149
DOI: 10.15468/dl.6vgsv6
title: Occurrence Download

description: A dataset containing 1263233 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "GadmGid is one of (COL.3_2, COL.10_2, COL.33_2)"
 ]
}

 The dataset includes 1263233 records from 596 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045177-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2737181/2343707
title: Data for EMSL Project 60209 from February 2023
DOI: 10.15468/dl.huu66m
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stellaria persica Boiss."
 ]
}

 The dataset includes 66 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143042-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yv75hf
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viscum album subsp. coloratum Kom.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 228 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0334673-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2742368/2343708
title: Data for EMSL Project 60209 from February 2023
DOI: 10.15468/dl.5t6m79
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum hastiforme Correll"
 ]
}

 The dataset includes 55 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136250-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzctak
title: Occurrence Download

description: A dataset containing 49100 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fish Collection of Kanagawa Prefectural Museum of Natural History"
 ]
}

 The dataset includes 49100 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0314915-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2739733/2343709
title: Data for EMSL Project 60209 from February 2023
DOI: 10.15468/dl.gskmfp
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notolaemus Lefkovitch, 1959",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 91 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0314934-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbz6zv
title: Occurrence Download

description: A dataset containing 13751 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lathyrus clymenum L."
 ]
}

 The dataset includes 13751 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001679-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2747968/2343710
title: Data for EMSL Project 60209 from February 2023
DOI: 10.15468/dl.4wwbee
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Paracoccus marginatus Williams & Granara de Willink, 1992"
 ]
}

 The dataset includes 102 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009355-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7q8a7
title: Occurrence Download

description: A dataset containing 5364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Chelidoptera tenebrosa (Pallas, 1782)"
 ]
}

 The dataset includes 5364 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0314938-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2747970/2343711
title: Data for EMSL Project 60209 from February 2023
DOI: 10.25582/data.2023-01.2717417/2343712
title: Data for EMSL Project 60209 from January 2023
DOI: 10.15468/dl.sf6arr
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zoramia flebila Greenfield, Langston & Randall, 2005"
 ]
}

 The dataset includes 16 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061883-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q42u5e
title: Occurrence Download

description: A dataset containing 472 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum sinuatum Dahlst."
 ]
}

 The dataset includes 472 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009308-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-02.2748073/2343713
title: Data for EMSL Project 60209 from February 2023
DOI: 10.15468/dl.q3ma76
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nothobranchius janpapi Wildekamp, 1977"
 ]
}

 The dataset includes 55 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0334705-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ecnr95
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Teucrium lamiifolium d'Urv."
 ]
}

 The dataset includes 95 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011739-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2022-10.2629248/2343714
title: Data for EMSL Project 60209 from October 2022
DOI: 10.15468/dl.sysucj
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iris sanguinea Hornem.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 219 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0334711-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.