cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.25424
title: WRF-Chem simulations in Northern China from July 31 to August 5 in 2022
title: WRF-Chem simulations in Northern China from July 31 to August 5 in 2022

description: This dataset contains outputs from the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem v4.6.0) in northern China in the early August 2022, with a horizontal resolution of 0.25° and 33 vertical layers extending from the surface to 10 hPa.The model configuration included:Microphysics: Morrison double-moment schemeLand surface model: Noah LSMPlanetary boundary layer: MYNN schemeRadiation: RRTMG for both longwave and shortwaveChemistry: MOZART mechanism with MOSAIC aerosol moduleEmissions: Anthropogenic emissions from the 2020 MEIC inventoryFollowing the Air Quality Model Evaluation International Initiative (AQMEII) protocol, the simulation was divided into two overlapping 88-hour time slices:Slice-1: July 30, 08:00 LT – August 3, 00:00 LTSlice-2: August 2, 08:00 LT – August 6, 00:00 LTEach slice included a 16-hour spin-up period.Meteorological initial and boundary conditions were provided by ERA5 reanalysis. Chemical boundary conditions were derived from the CESM2.2/CAM-chem global model. For the first slice, chemical initial conditions were taken from CESM2.2/CAM-chem; the second slice used the output from the first slice.Two simulations are included:BASE run: Full emissions scenarioBLK run: A sensitivity experiment where anthropogenic emissions were removed within 114°E–119°E and 36°N–41°N.
description: This dataset contains outputs from the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem v4.6.0) in northern China in the early August 2022, with a horizontal resolution of 0.25° and 33 vertical layers extending from the surface to 10 hPa.The model configuration included:Microphysics: Morrison double-moment schemeLand surface model: Noah LSMPlanetary boundary layer: MYNN schemeRadiation: RRTMG for both longwave and shortwaveChemistry: MOZART mechanism with MOSAIC aerosol moduleEmissions: Anthropogenic emissions from the 2020 MEIC inventoryFollowing the Air Quality Model Evaluation International Initiative (AQMEII) protocol, the simulation was divided into two overlapping 88-hour time slices:Slice-1: July 30, 08:00 LT – August 3, 00:00 LTSlice-2: August 2, 08:00 LT – August 6, 00:00 LTEach slice included a 16-hour spin-up period.Meteorological initial and boundary conditions were provided by ERA5 reanalysis. Chemical boundary conditions were derived from the CESM2.2/CAM-chem global model. For the first slice, chemical initial conditions were taken from CESM2.2/CAM-chem; the second slice used the output from the first slice.Two simulations are included:BASE run: Full emissions scenarioBLK run: A sensitivity experiment where anthropogenic emissions were removed within 114°E–119°E and 36°N–41°N.
DOI: 10.5281/zenodo.15543984
title: Replication Data for: Information scrambling in a one-dimensional topological system
DOI: 10.5281/zenodo.15543985
title: Replication Data for: Information scrambling in a one-dimensional topological system
DOI: 10.7910/dvn/rzvemi
title: Replication Data for: Outlier or Not? The Birth Order Effects on Educational Attainment in China

description: Stata replication code is for paper "Outlier or Not? The Birth Order Effects on Educational Attainment in China". The data used in this paper can be achieved via application through the CFPS website: https://cfpsdata.pku.edu.cn/#/home.
DOI: 10.15468/dl.gj645n
title: Occurrence Download

description: A dataset containing 928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus barbatus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 928 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048926-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.25431
title: Dataset for auto identification of atmospheric disturbances and key parameter extraction based on all-sky airglow imaging observations of the Chinese Meridian Project
title: 基于子午工程气辉成像观测的中高层大气波动智能识别及关键参数提取数据集

description: To meet the demand for efficient processing of massive airglow images from the Meridian Project, this study constructs an intelligent recognition and parameter extraction tool for atmospheric gravity waves and mesoscale traveling ionospheric disturbances based on machine learning techniques. A convolutional neural network classification model is used to screen images under clear night sky conditions, and the faster region-based convolutional neural network is applied to locate wave structures. For atmospheric gravity waves, a method based on two-dimensional Fourier transform is adopted to extract wavelength, propagation direction, and horizontal velocity, while for mesoscale traveling ionospheric disturbances, Canny edge detection combined with linear fitting is used to extract wave parameters.
description: To meet the demand for efficient processing of massive airglow images from the Meridian Project, this study constructs an intelligent recognition and parameter extraction tool for atmospheric gravity waves and mesoscale traveling ionospheric disturbances based on machine learning techniques. A convolutional neural network classification model is used to screen images under clear night sky conditions, and the faster region-based convolutional neural network is applied to locate wave structures. For atmospheric gravity waves, a method based on two-dimensional Fourier transform is adopted to extract wavelength, propagation direction, and horizontal velocity, while for mesoscale traveling ionospheric disturbances, Canny edge detection combined with linear fitting is used to extract wave parameters.
DOI: 10.15468/dl.z9assp
title: Occurrence Download

description: A dataset containing 4454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pipturus Wedd."
 ]
}

 The dataset includes 4454 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013475-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v464vp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucheuma cottonii Weber Bosse, 1913"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003641-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gnf9z
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Leurotrigona pusilla Moure & Camargo, 1988"
 ]
}

 The dataset includes 136 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003643-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmu96r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herwigia kreffti (Nielsen & Larsen, 1970)",
 "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 ((7.2551 0.4095,6.9596 0.8334,6.5492 0.9061,6.0738 0.5779,5.9713 0.201,6.1078 -0.2929,6.5348 -0.5139,7.0629 -0.1853,7.2551 0.4095))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009568-250525065834625/datasets/export for details.
DOI: 10.71947/https://doi.org/10.71947/arim.jpmxp1222nu0058-1
title: Znを添加W型Sr六方晶フェライトSrZnFe17O27磁性材料のSTEM観察
DOI: 10.5281/zenodo.18313472
title: Sisyrinchium scariosum I.M.Johnst. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18313473
title: Sisyrinchium scariosum I.M.Johnst. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.9gtpch
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.444 -1.039818, 116.373725 -1.045384, 116.30518 -1.061945, 116.240052 -1.089094, 116.179943 -1.126162, 116.126333 -1.172237, 116.080542 -1.226186, 116.043698 -1.286679, 116.016708 -1.352228, 116.000237 -1.421219, 115.994691 -1.491954, 116.000208 -1.562691, 116.016654 -1.631689, 116.043624 -1.697248, 116.080455 -1.757753, 116.126241 -1.811715, 116.179856 -1.857805, 116.239978 -1.894886, 116.305126 -1.922045, 116.373697 -1.938612, 116.444 -1.944181, 116.514303 -1.938612, 116.582874 -1.922045, 116.648022 -1.894886, 116.708144 -1.857805, 116.761759 -1.811715, 116.807545 -1.757753, 116.844376 -1.697248, 116.871346 -1.631689, 116.887792 -1.562691, 116.893309 -1.491954, 116.887763 -1.421219, 116.871292 -1.352228, 116.844302 -1.286679, 116.807458 -1.226186, 116.761667 -1.172237, 116.708057 -1.126162, 116.647948 -1.089094, 116.58282 -1.061945, 116.514275 -1.045384, 116.444 -1.039818))"},{"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/0002892-260119153935675/datasets/export for details.
DOI: 10.15468/dl.jras4u
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.948 2.469178, 103.877672 2.463609, 103.809078 2.44704, 103.743908 2.41988, 103.683767 2.382797, 103.630137 2.336705, 103.584338 2.282741, 103.547499 2.222234, 103.520525 2.156673, 103.50408 2.087675, 103.498566 2.016938, 103.504118 1.946203, 103.520598 1.877214, 103.5476 1.811667, 103.584456 1.751176, 103.630261 1.697231, 103.683885 1.651158, 103.744008 1.614093, 103.809151 1.586946, 103.877711 1.570385, 103.948 1.56482, 104.018289 1.570385, 104.086849 1.586946, 104.151992 1.614093, 104.212115 1.651158, 104.265739 1.697231, 104.311544 1.751176, 104.3484 1.811667, 104.375402 1.877214, 104.391882 1.946203, 104.397434 2.016938, 104.39192 2.087675, 104.375475 2.156673, 104.348501 2.222234, 104.311662 2.282741, 104.265863 2.336705, 104.212233 2.382797, 104.152092 2.41988, 104.086922 2.44704, 104.018328 2.463609, 103.948 2.469178))"},{"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 66 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002891-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhygrz
title: Occurrence Download

description: A dataset containing 162892 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is A spatio-temporal Culicoides species dataset produced by the French surveillance program from 2009 to 2012",
 "Geometry POLYGON((-15.64723 38.74421,20.64723 38.74421,20.64723 53.25579,-15.64723 53.25579,-15.64723 38.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2009-2012"
 ]
}

 The dataset includes 162892 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002873-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23708/zcipax
title: The MiPPAD birth cohort of Benin - Follow-up at one year

description: The MiPPAD birth cohort of Benin has for overall objective to study the early determinants of children's health and development. The TOVI project followed offspring born to pregnant women included in the MiPPAD trial. This one year follow-up included data collection on offspring psychomotor function and health, including malaria, anemia, iron deficiency, blood lead level and anthropometric measures. It also included socioeconomic environment and maternal mental health. The cohort takes place in a semi rural area in the district of Allada, including Allada, Sekou and Attogon, in Benin, sub-Saharan Africa. More information may be found here : https://www.irset.org/en/mippad-benin-mother-child-cohort
DOI: 10.5281/zenodo.18301645
title: Observational data from Tasmania winter field campaign 2019

description: The observational data from winter field campaign over Tasmania from 2100 UTC 11 July to 0300 UTC 13 July is presented.  The observational network consisted of three primary surface sites: Reece located close to the coast at an elevation of 94 m above sea-level (ASL); Newton, a site located at 487 m ASL and Fisher, a near-peak site located at 1107 m ASL. The dataset contains Micro Rain Radars (MRR-2) one-minute observations for reflectivity and Doppler velocity, Optical Particle Size Velocity (PARSIVEL) disdrometer observations and rain gauge precipitation observations operated by Hydro Tasmania.
DOI: 10.5281/zenodo.18301646
title: Observational data from Tasmania winter field campaign 2019

description: The observational data from winter field campaign over Tasmania from 2100 UTC 11 July to 0300 UTC 13 July is presented.  The observational network consisted of three primary surface sites: Reece located close to the coast at an elevation of 94 m above sea-level (ASL); Newton, a site located at 487 m ASL and Fisher, a near-peak site located at 1107 m ASL. The dataset contains Micro Rain Radars (MRR-2) one-minute observations for reflectivity and Doppler velocity, Optical Particle Size Velocity (PARSIVEL) disdrometer observations and rain gauge precipitation observations operated by Hydro Tasmania.
DOI: 10.15468/dl.yexx5b
title: Occurrence Download

description: A dataset containing 44277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus europaeus",
 "Year 2016-2026"
 ]
}

 The dataset includes 44277 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002893-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hub78q
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nymphaea nouchali"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002894-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5qrev
title: Occurrence Download

description: A dataset containing 1925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scatella paludum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1925 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002895-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17332930
title: Alkalinity Enhancement in Subduction Regions and the Global Ocean: Efficiency, Earth System Feedbacks, and Scenario Sensitivity

description: The dataset includes the minimum data required to reproduce the findings of Nagwekar et al. (2025) titled "Alkalinity Enhancement in Subduction Regions and the Global Ocean: Efficiecny, Earth System Feedbacks, and Scenario Sensitivity". The output of the Earth System Mode AWI-ESM1 coupled to global ocean biogeochemical model FESOM1.4-REcoM2, land component JSBACH, and atmosphere component ECHAM implementing Ocean Alkalinity Enhancement (OAE) is provided. OAE is deployed globally and in the subduction regions of the Southern Ocean and the North Atlantic. Simulations are conducted under SSP1-2.6 and SSP3-7.0 emission scenario.

In particular it contains:

a) model grid

b) Time-series for oceanic CO2 uptake for CTRL (no OAE), global OAE (GLO-ALK), and subduction regions OAE (SUB-ALK) from 2030 to 2100.

c) Time-series for OAE efficiency (2030-2100) for GLO-ALK and SUB-ALK. 

d) Data points for increase in oceanic CO2 uptake relative to CTRL due to OAE versus added amount of alkalinity for various peer reviewed articles. 

e) Surface fields for increase in oceanic CO2 uptake (2030-2100) for GLO-ALK and SUB-ALK and surface fields for its correlation coefficient with mixed layer depth, wind speed, and sea surface temperature.

f) Time-series for increase in dissolved inorganic carbon (DIC) relative to CTRL for GLO-ALK and SUB-ALK (2030-2100) using the ESM and ocean-only model in the top 1 km and the layer below 1 km of the water column. Surface fields for increase in DIC for GLO-ALK and SUB-ALK using the ESM in the top 1 km and below 1 km of the water column.

g) Time-series for changes in atmospheric CO2 concentration and Surface Air Temperature relative to CTRL for GLO-ALK and SUB-ALK (2030-2100). Data points for changes in atmospheric CO2 concentration and Surface Air Temperature form various peer reviewed articles.

h) Time-series for cumulative change in oceanic CO2 uptake and land carbon (2030-2100) relative to CTRL for GLO-ALK and SUB-ALK.

All the data is available for the SSP1-2.6 and SSP3-7.0 emission sceanrio.
DOI: 10.5281/zenodo.17332931
title: Alkalinity Enhancement in Subduction Regions and the Global Ocean: Efficiency, Earth System Feedbacks, and Scenario Sensitivity

description: The dataset includes the minimum data required to reproduce the findings of Nagwekar et al. (2025) titled "Alkalinity Enhancement in Subduction Regions and the Global Ocean: Efficiecny, Earth System Feedbacks, and Scenario Sensitivity". The output of the Earth System Mode AWI-ESM1 coupled to global ocean biogeochemical model FESOM1.4-REcoM2, land component JSBACH, and atmosphere component ECHAM implementing Ocean Alkalinity Enhancement (OAE) is provided. OAE is deployed globally and in the subduction regions of the Southern Ocean and the North Atlantic. Simulations are conducted under SSP1-2.6 and SSP3-7.0 emission scenario.

In particular it contains:

a) model grid

b) Time-series for oceanic CO2 uptake for CTRL (no OAE), global OAE (GLO-ALK), and subduction regions OAE (SUB-ALK) from 2030 to 2100.

c) Time-series for OAE efficiency (2030-2100) for GLO-ALK and SUB-ALK. 

d) Data points for increase in oceanic CO2 uptake relative to CTRL due to OAE versus added amount of alkalinity for various peer reviewed articles. 

e) Surface fields for increase in oceanic CO2 uptake (2030-2100) for GLO-ALK and SUB-ALK and surface fields for its correlation coefficient with mixed layer depth, wind speed, and sea surface temperature.

f) Time-series for increase in dissolved inorganic carbon (DIC) relative to CTRL for GLO-ALK and SUB-ALK (2030-2100) using the ESM and ocean-only model in the top 1 km and the layer below 1 km of the water column. Surface fields for increase in DIC for GLO-ALK and SUB-ALK using the ESM in the top 1 km and below 1 km of the water column.

g) Time-series for changes in atmospheric CO2 concentration and Surface Air Temperature relative to CTRL for GLO-ALK and SUB-ALK (2030-2100). Data points for changes in atmospheric CO2 concentration and Surface Air Temperature form various peer reviewed articles.

h) Time-series for cumulative change in oceanic CO2 uptake and land carbon (2030-2100) relative to CTRL for GLO-ALK and SUB-ALK.

All the data is available for the SSP1-2.6 and SSP3-7.0 emission sceanrio.
DOI: 10.5281/zenodo.18313479
title: Sisyrinchium sellowianum Klatt. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18313480
title: Sisyrinchium sellowianum Klatt. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.5w9tqb
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.856 -1.033817, 103.785725 -1.039384, 103.717181 -1.055945, 103.652052 -1.083094, 103.591943 -1.120162, 103.538334 -1.166237, 103.492543 -1.220186, 103.455699 -1.280679, 103.428709 -1.346228, 103.412238 -1.415219, 103.406692 -1.485954, 103.41221 -1.556691, 103.428655 -1.625689, 103.455625 -1.691248, 103.492456 -1.751753, 103.538242 -1.805716, 103.591857 -1.851805, 103.651978 -1.888886, 103.717127 -1.916045, 103.785697 -1.932612, 103.856 -1.938181, 103.926303 -1.932612, 103.994873 -1.916045, 104.060022 -1.888886, 104.120143 -1.851805, 104.173758 -1.805716, 104.219544 -1.751753, 104.256375 -1.691248, 104.283345 -1.625689, 104.29979 -1.556691, 104.305308 -1.485954, 104.299762 -1.415219, 104.283291 -1.346228, 104.256301 -1.280679, 104.219457 -1.220186, 104.173666 -1.166237, 104.120057 -1.120162, 104.059948 -1.083094, 103.994819 -1.055945, 103.926275 -1.039384, 103.856 -1.033817))"},{"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 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002898-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.