cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.693u3c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lyrurus tetrix)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024633-250717081556266/datasets/export for details.
DOI: 10.15468/dl.cs3jqx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Desmodium heterophyllum",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024638-250717081556266/datasets/export for details.
DOI: 10.15468/dl.2jhc9n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Desmodium heterophyllum",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024639-250717081556266/datasets/export for details.
DOI: 10.15468/dl.tyg3d7
title: Occurrence Download

description: A dataset containing 2200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Dasypus novemcinctus"
 ]
}

 The dataset includes 2200 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024636-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64stdw
title: Occurrence Download

description: A dataset containing 1345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobates catesbeianus",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1345 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024637-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uyz82
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trinia glauca, Trinia glauca, Trinia glauca, Trinia glauca)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 413 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019045-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14057209
title: A comprehensive calibration approach for the Northwest River Forecast Center - supplementary data data for reproducing paper figures

description: This dataset contains data to accompany the paper "Walters, et al, 2026, A comprehensive calibration approach for the Northwest River Forecast Center, JAWRA"

AC+Legacy_Metrics.csv - Sumary statistics from the auto calibrated runs for all CAMELS basins in the NWRFC region 

CAMELS_all_locations - Calibration results using the NWRFC approach for all CAMELS locations in the NWRFC domain

shapefiles - Various shape files used for making visualizations in the paper

Optimization_CAMELS_FA - Full cross validation and calibration results with forcing adjustments applied for 4 NWRFC basins (FSSO3, SAKW1, WCHW1, WGCM8) 

Optimization_CAMELS_noFA - Full cross validation and calibration results without forcing adjustments applied for 4 NWRFC basins (FSSO3, SAKW1, WCHW1, WGCM8) 

single-basin-vs-regional-model - The model output from Kranzert et al., 2024 used for comparison, reproduced here for convenience. https://doi.org/10.5194/hess-28-4187-2024
DOI: 10.5281/zenodo.18514440
title: A comprehensive calibration approach for the Northwest River Forecast Center - supplementary data data for reproducing paper figures

description: This dataset contains data to accompany the paper "Walters, et al, 2026, A comprehensive calibration approach for the Northwest River Forecast Center, JAWRA"

AC+Legacy_Metrics.csv - Sumary statistics from the auto calibrated runs for all CAMELS basins in the NWRFC region 

CAMELS_all_locations - Calibration results using the NWRFC approach for all CAMELS locations in the NWRFC domain

shapefiles - Various shape files used for making visualizations in the paper

Optimization_CAMELS_FA - Full cross validation and calibration results with forcing adjustments applied for 4 NWRFC basins (FSSO3, SAKW1, WCHW1, WGCM8) 

Optimization_CAMELS_noFA - Full cross validation and calibration results without forcing adjustments applied for 4 NWRFC basins (FSSO3, SAKW1, WCHW1, WGCM8) 

single-basin-vs-regional-model - The model output from Kranzert et al., 2024 used for comparison, reproduced here for convenience. https://doi.org/10.5194/hess-28-4187-2024
DOI: 10.5281/zenodo.18521235
title: Datasets used for the paper: "Dynamic Financial Analysis (DFA) of General Insurers under Climate Change"

description: Introduction

This Data folder accompanies the code supporting the paper "Dynamic Financial Analysis (DFA) of General Insurers under Climate Change". The corresponding code can be downloaded from the following GitHub repository: link. In this paper, we introduce a climate-dependent DFA framework that integrates climate risk into DFA, providing a comprehensive assessment of its long-term impact on the general insurance industry.

After downloading the Data folder, unzip it and place it in the same directory as the code downloaded from the GitHub repository. Once this setup is complete, users can run the RMarkdown file without any additional configuration.

The main data folders used are outlined below:





Economic: Contains historical data on macroeconomic variables (e.g., GDP, interest rates, and inflation rates) and projections of GDP, population, and oil and gas production under each SSP scenario.




Equity return: Contains the pseudo All-Ordinaries Shares total returns series and the financial statements of a representative oil and gas producer. Due to licensing restrictions, we are unable to provide the actual Total Returns series of the All-Ordinaries Shares Index and the financial statements of Woodside Energy Limited from FactSet. Users are encouraged to obtain this data directly from FactSet.




Hazards loss: Includes the ICA and EM-DAT datasets on catastrophe insurance losses in Australia.




Precipitations, FWI, SST and MSLP, Near-surface temperature, and Air temperature: Contain historical observations of precipitation, fire weather index, sea-surface temperature, mean sea-level pressure, near-surface temperature, and air temperature at the grid cell level across Australia (or nearby ocean areas).




CMIP6_ensemble_precipitation, CMIP6_ensemble_SST, CMIP6_ensemble_MSLP, CMIP6_ensemble_near_surface_temperature, and CMIP6_ensemble_air_temperature: Contain CMIP6 ensemble projections of the corresponding climate variables.



Details of the dataset download sources can be found on the GitHub page linked above.
DOI: 10.5281/zenodo.15098757
title: Datasets used for the paper: "Dynamic Financial Analysis (DFA) of General Insurers under Climate Change"

description: Introduction

This Data folder accompanies the code supporting the paper "Dynamic Financial Analysis (DFA) of General Insurers under Climate Change". The corresponding code can be downloaded from the following GitHub repository: link. In this paper, we introduce a climate-dependent DFA framework that integrates climate risk into DFA, providing a comprehensive assessment of its long-term impact on the general insurance industry.

After downloading the Data folder, unzip it and place it in the same directory as the code downloaded from the GitHub repository. Once this setup is complete, users can run the RMarkdown file without any additional configuration.

The main data folders used are outlined below:





Economic: Contains historical data on macroeconomic variables (e.g., GDP, interest rates, and inflation rates) and projections of GDP, population, and oil and gas production under each SSP scenario.




Equity return: Contains the pseudo All-Ordinaries Shares total returns series and the financial statements of a representative oil and gas producer. Due to licensing restrictions, we are unable to provide the actual Total Returns series of the All-Ordinaries Shares Index and the financial statements of Woodside Energy Limited from FactSet. Users are encouraged to obtain this data directly from FactSet.




Hazards loss: Includes the ICA and EM-DAT datasets on catastrophe insurance losses in Australia.




Precipitations, FWI, SST and MSLP, Near-surface temperature, and Air temperature: Contain historical observations of precipitation, fire weather index, sea-surface temperature, mean sea-level pressure, near-surface temperature, and air temperature at the grid cell level across Australia (or nearby ocean areas).




CMIP6_ensemble_precipitation, CMIP6_ensemble_SST, CMIP6_ensemble_MSLP, CMIP6_ensemble_near_surface_temperature, and CMIP6_ensemble_air_temperature: Contain CMIP6 ensemble projections of the corresponding climate variables.



Details of the dataset download sources can be found on the GitHub page linked above.
DOI: 10.15468/dl.udkkvr
title: Occurrence Download

description: A dataset containing 2219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leymus mollis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2219 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019046-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6m7s7
title: Occurrence Download

description: A dataset containing 15818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tripleurospermum perforatum, Tripleurospermum perforatum, Chrysanthemum inodorum, Matricaria perforata, Matricaria inodora, Matricaria inodora, Tripleurospermum inodorum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 15818 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019047-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gxc76
title: Occurrence Download

description: A dataset containing 14353 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 8.098015256935714
 AND decimallatitude &lt;= 12.166598047573723
 AND decimallongitude &gt;= -5.059334038100958
 AND decimallongitude &lt;= 0.0
 AND GBIF_Within('POLYGON ((0.000000 8.098015, 0.000000 12.166598, -5.059334 12.166598, -5.059334 8.098015, 0.000000 8.098015))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 14353 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019038-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ynhaz
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limnas veresczaginii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019051-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qk59ry
title: Occurrence Download

description: A dataset containing 30955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trisetum flavescens, Trisetum flavescens, Avena flavescens, Avena flavescens, Avena flavescens)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 30955 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019049-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zae9u4
title: Occurrence Download

description: A dataset containing 10264 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Actualización del banco de datos florístico de la Península de Yucatán (BAFLOPY)"
 ]
}

 The dataset includes 10264 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019050-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qaybb4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limnopoa meeboldii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019054-260129131611470/datasets/export for details.
DOI: 10.15468/dl.5kdjus
title: Occurrence Download

description: A dataset containing 657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithachne pauciflora",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 657 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019056-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18204888
title: jbandzuh/Anopheles_Indonesia: Cross-sectional Household Survey

description: A cross-sectional survey was constructed using a priori and emergent themes developed from KIIs and FGDs conducted in November 2015 (Bandzuh et al. 2022). Household surveys took place (N = 757 households) from March 26 to April 5, 2016. The household survey was distributed across six subdistricts of East Sumba Regency. The number of surveys per district was proportional to the population’s size; 12% (n = 88) took place in Kanatang, followed by 13% (n = 98) in Wula Waijelu, 13% (n = 101) in Kambera, 17% (n = 130) in Kota Waingapu, 19% (n = 147) in Lewa, and 26% (n = 193) in Umalulu and households were randomly selected to take part in this research. The surveys were conducted during the transition from the wet to dry season in the region; thus, the immediate risk of malaria declined at the time of data collection. Trained, multilingual research assistants from the local university, Universitas Kristen Wira Wacana, field-tested the survey before initiation of the quantitative data collection. Revisions were made in collaboration with local researchers and the U.S. field team, and the questions were field-tested to ensure their integrity. The field team administered the household surveys verbally in participants’ preferred language, either Sumbanese or Bahasa. Participants were included if they were at least 18 years of age, currently living with a partner, and had been residents of the subdistrict for at least six months before data collection.
DOI: 10.5281/zenodo.18204887
title: jbandzuh/Anopheles_Indonesia: Cross-sectional Household Survey

description: A cross-sectional survey was constructed using a priori and emergent themes developed from KIIs and FGDs conducted in November 2015 (Bandzuh et al. 2022). Household surveys took place (N = 757 households) from March 26 to April 5, 2016. The household survey was distributed across six subdistricts of East Sumba Regency. The number of surveys per district was proportional to the population’s size; 12% (n = 88) took place in Kanatang, followed by 13% (n = 98) in Wula Waijelu, 13% (n = 101) in Kambera, 17% (n = 130) in Kota Waingapu, 19% (n = 147) in Lewa, and 26% (n = 193) in Umalulu and households were randomly selected to take part in this research. The surveys were conducted during the transition from the wet to dry season in the region; thus, the immediate risk of malaria declined at the time of data collection. Trained, multilingual research assistants from the local university, Universitas Kristen Wira Wacana, field-tested the survey before initiation of the quantitative data collection. Revisions were made in collaboration with local researchers and the U.S. field team, and the questions were field-tested to ensure their integrity. The field team administered the household surveys verbally in participants’ preferred language, either Sumbanese or Bahasa. Participants were included if they were at least 18 years of age, currently living with a partner, and had been residents of the subdistrict for at least six months before data collection.
DOI: 10.5281/zenodo.18520201
title: KpEcocline

description: This dataset contains the numerical data underlying all main and supplementary figures of a study on a bacterial ecocline in Klebsiella pneumoniae, including all replicates, summary statistics, and associated phylogenetic tree files. Files are organized by figure; some archives contain data for multiple figures as indicated by the file name.
DOI: 10.5281/zenodo.18520200
title: KpEcocline

description: This dataset contains the numerical data underlying all main and supplementary figures of a study on a bacterial ecocline in Klebsiella pneumoniae, including all replicates, summary statistics, and associated phylogenetic tree files. Files are organized by figure; some archives contain data for multiple figures as indicated by the file name.
DOI: 10.15468/dl.z78yka
title: Occurrence Download

description: A dataset containing 3215205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pipistrellus pipistrellus",
 "Continent is Europe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3215205 records from 5216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018978-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uddq6g
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.252336 23.21135, 71.175928 23.205774, 71.10141900000001 23.189182, 71.03066200000001 23.161988, 70.965412 23.124867, 70.90728300000001 23.078741, 70.857709 23.024753, 70.817909 22.964243, 70.788853 22.898706, 70.771243 22.829764, 70.765497 22.759116, 70.771738 22.688504, 70.789793 22.619665, 70.819204 22.55429, 70.85923099999999 22.493982, 70.908883 22.440221, 70.96693399999999 22.39432, 71.03195700000001 22.357402, 71.10236 22.330369, 71.176422 22.313881, 71.252336 22.30834, 71.32825 22.313881, 71.40231199999999 22.330369, 71.47271499999999 22.357402, 71.537738 22.39432, 71.595789 22.440221, 71.64544100000001 22.493982, 71.685468 22.55429, 71.714879 22.619665, 71.732934 22.688504, 71.739175 22.759116, 71.733429 22.829764, 71.715819 22.898706, 71.686763 22.964243, 71.646963 23.024753, 71.59738900000001 23.078741, 71.53926 23.124867, 71.47401000000001 23.161988, 71.40325300000001 23.189182, 71.328744 23.205774, 71.252336 23.21135))"},{"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 97 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001177-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0164669.10fu
title: SH0164669.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.