cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bcpsk6
title: Occurrence Download

description: A dataset containing 62277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepus timidus Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is less than or equal to 2022"
 ]
}

 The dataset includes 62277 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0178931-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iv0j9j
title: Occurrence Download

description: A dataset containing 4925725 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Argentina"
 ]
}

 The dataset includes 4925725 records from 1543 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012299-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6crtrq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Steatomys cuppedius Thomas & Hinton, 1920",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034354-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2313881
title: Springs monitoring data for Tuzigoot National Monument, Arizona: 2017-2024 - internal

description: This dataset contains long-term monitoring data for springs for Tuzigoot National Monument (2017-2024). Monitoring of seeps, springs, and tinajas provides information on these small and rare systems in parks of the National Park Service’s Chihuahuan Desert Network and Sonoran Desert Network. These systems are the primary connection between groundwater and surface water and are important water sources for plants and animals. The networks monitor a suite of springs vital signs and parameters organized into four modules: site characterization, site condition, water quantity, and water quality. The data were collected annually at one or more “sentinel sites” per park (sites chosen based on judgement and other criteria).
DOI: 10.15468/dl.vzq6uj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((70.650099 30.366922, 70.568738 30.361344, 70.489407 30.34475, 70.414084 30.317552, 70.344643 30.28043, 70.28280599999999 30.234307, 70.230099 30.180332, 70.187815 30.119844, 70.15698399999999 30.054343, 70.138344 29.985449, 70.13233 29.914866, 70.139065 29.844331, 70.158355 29.77558, 70.18970299999999 29.7103, 70.23231800000001 29.650091, 70.285139 29.596425, 70.346862 29.550611, 70.415972 29.513768, 70.490779 29.486792, 70.56945899999999 29.47034, 70.650099 29.464811, 70.730739 29.47034, 70.80941900000001 29.486792, 70.884226 29.513768, 70.95333599999999 29.550611, 71.01505899999999 29.596425, 71.06788 29.650091, 71.110495 29.7103, 71.14184299999999 29.77558, 71.16113300000001 29.844331, 71.167868 29.914866, 71.16185400000001 29.985449, 71.143214 30.054343, 71.11238299999999 30.119844, 71.070099 30.180332, 71.017392 30.234307, 70.955555 30.28043, 70.88611400000001 30.317552, 70.81079099999999 30.34475, 70.73146 30.361344, 70.650099 30.366922))"},{"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/0058016-251120083545085/datasets/export for details.
DOI: 10.21227/2f5c-kg77
title: "Millimeter-Wave FMCW Ranging Dataset"

description: "This dataset contains raw millimeter-wave FMCW radar ranging data collected from controlled outdoor experiments designed to evaluate ranging performance under real environmental conditions. The experiments were conducted using a 60-GHz FMCW radar system deployed in an open rooftop environment, with synchronized environmental sensors recording meteorological variables throughout the measurement period. Two experimental configurations were implemented, including short-range measurements at 5, 7, 9, 11, and 13 m, and long-range measurements at 15, 17, 19, 21, and 23 m. Standard corner reflectors were placed at fixed positions to provide stable radar targets, and reference distances were measured using high-precision instruments. The dataset preserves the original radar measurements without algorithmic post-processing, enabling independent analysis of FMCW ranging characteristics, noise behavior, and environment-related effects. It is intended to support reproducible research and benchmarking in millimeter-wave radar ranging and signal processing studies."
DOI: 10.15468/dl.xrqeuk
title: Occurrence Download

description: A dataset containing 22178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Consolida regalis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22178 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058018-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgemmc
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alectryonella plicatula, Ostraea lactea, Ostraea solida, Ostrea cumingiana, Ostrea lactea, Ostrea plicata, Ostrea plicatula, Ostrea sericea, Ostrea solida)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058021-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rjr5v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((70.63434599999999 30.317226, 70.553026 30.311648, 70.473735 30.295053, 70.39845 30.267856, 70.329044 30.230733, 70.26723699999999 30.184611, 70.214556 30.130635, 70.172293 30.070147, 70.14147699999999 30.004645, 70.122845 29.935752, 70.116834 29.865168, 70.123564 29.794632, 70.14284499999999 29.725881, 70.174176 29.6606, 70.21677 29.60039, 70.269565 29.546723, 70.33125800000001 29.500909, 70.400333 29.464066, 70.475103 29.437089, 70.55374500000001 29.420636, 70.63434599999999 29.415107, 70.714947 29.420636, 70.793589 29.437089, 70.868359 29.464066, 70.937434 29.500909, 70.999127 29.546723, 71.051922 29.60039, 71.094516 29.6606, 71.12584699999999 29.725881, 71.145128 29.794632, 71.151858 29.865168, 71.145847 29.935752, 71.12721500000001 30.004645, 71.09639900000001 30.070147, 71.054136 30.130635, 71.00145500000001 30.184611, 70.93964800000001 30.230733, 70.870242 30.267856, 70.794957 30.295053, 70.715666 30.311648, 70.63434599999999 30.317226))"},{"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/0058022-251120083545085/datasets/export for details.
DOI: 10.17026/ar/qk8w4u
title: PAN-00179241 - iron nail general

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00179241&lt;/p&gt;
description: Modified: 2025-08-29T16:40:07+02:00
DOI: 10.5281/zenodo.17965435
title: Supporting data for SQG-based Reconstruction of Mesoscale-to-Submesoscale Dynamics: Applicability of Different Methods in the Core Agulhas System (1.0) [Dataset].

description: Supporting data for SQG-based Reconstruction of Mesoscale-to-Submesoscale Dynamics: Applicability of Different Methods in the Core Agulhas System

Matlab Codes to reconstruct the subsurface structures (Codes without Figure_*.m) and plot the figures (Figure_*.m) in the manuscript. The partial model and reconstruction output files  are archived in the folder data.  The whole model and reconstruction output files used for this study exceed the capacities of the Zenodo repository but can be made available upon request.
DOI: 10.5281/zenodo.17965434
title: Supporting data for SQG-based Reconstruction of Mesoscale-to-Submesoscale Dynamics: Applicability of Different Methods in the Core Agulhas System (1.0) [Dataset].

description: Supporting data for SQG-based Reconstruction of Mesoscale-to-Submesoscale Dynamics: Applicability of Different Methods in the Core Agulhas System

Matlab Codes to reconstruct the subsurface structures (Codes without Figure_*.m) and plot the figures (Figure_*.m) in the manuscript. The partial model and reconstruction output files  are archived in the folder data.  The whole model and reconstruction output files used for this study exceed the capacities of the Zenodo repository but can be made available upon request.
DOI: 10.5281/zenodo.17426777
title: Mapping Oil Spills and Offshore Industrial Activities in the northwest Atlantic for Marine Conservation and Management

description: Overview

Anthropogenic activities such as oil pollution, vessel traffic, and artificial light pose growing threats to marine ecosystems across Canada’s Exclusive Economic Zone (EEZ) and adjacent Atlantic waters. Despite their importance, data describing the spatial and temporal distribution of these threats have remained fragmented or difficult to access. To address this gap, we developed a harmonized, high-resolution geospatial dataset covering Canada’s Exclusive Economic Zone (EEZ) and adjacent Atlantic waters. The dataset integrates multiple data sources—including the Integrated Satellite Tracking of Pollution (ISTOP), National Aerial Surveillance Program (NASP), National Environmental Emergency Centre (NEEC), Automatic Identification System (AIS) vessel tracking, and VIIRS satellite observations—into a suite of threat layers representing petroleum pollution, offshore infrastructure, vessel activity, and artificial light exposure. All layers were processed using reproducible workflows and standardized to a 1-km² grid (EPSG:4326). The resulting products, delivered as Cloud Optimized GeoTIFFs (COGs), are openly available via Zenodo and accompanied by comprehensive metadata and processing documentation. The dataset is designed to support cumulative effects assessments, marine spatial planning, conservation prioritization, and environmental response strategies. By providing consistent and reusable data on key marine stressors, this dataset enables more transparent and science-based decision-making. It also offers a foundation for research into cumulative risk to at-risk species, such as the globally threatened Leach’s Storm-Petrel (Hydrobates leucorhous), and contributes to broader marine management efforts under national and international policy frameworks.

Included Data

• Total datasets: 12 versioned folders (v1.0.0)• File types: 598 TIF files (raster data)

Marine shipping data:  • Ship light detection  • Shipping intensity density  • Shipping night light intensity density

Offshore petroleum infrastructure:  • Platform annual data  • Platform monthly data  • General petroleum activity data  • Detection frequency and total heat metrics (2017-2023)

Offshore petroleum pollution:  • Petroleum pollution incidents

Light pollution:  • Night light monthly data

Temporal range:  • Annual data: variable from 2017 to 2023  • Monthly granularity available for select datasets
DOI: 10.5281/zenodo.17426778
title: Mapping Oil Spills and Offshore Industrial Activities in the northwest Atlantic for Marine Conservation and Management

description: Overview

Anthropogenic activities such as oil pollution, vessel traffic, and artificial light pose growing threats to marine ecosystems across Canada’s Exclusive Economic Zone (EEZ) and adjacent Atlantic waters. Despite their importance, data describing the spatial and temporal distribution of these threats have remained fragmented or difficult to access. To address this gap, we developed a harmonized, high-resolution geospatial dataset covering Canada’s Exclusive Economic Zone (EEZ) and adjacent Atlantic waters. The dataset integrates multiple data sources—including the Integrated Satellite Tracking of Pollution (ISTOP), National Aerial Surveillance Program (NASP), National Environmental Emergency Centre (NEEC), Automatic Identification System (AIS) vessel tracking, and VIIRS satellite observations—into a suite of threat layers representing petroleum pollution, offshore infrastructure, vessel activity, and artificial light exposure. All layers were processed using reproducible workflows and standardized to a 1-km² grid (EPSG:4326). The resulting products, delivered as Cloud Optimized GeoTIFFs (COGs), are openly available via Zenodo and accompanied by comprehensive metadata and processing documentation. The dataset is designed to support cumulative effects assessments, marine spatial planning, conservation prioritization, and environmental response strategies. By providing consistent and reusable data on key marine stressors, this dataset enables more transparent and science-based decision-making. It also offers a foundation for research into cumulative risk to at-risk species, such as the globally threatened Leach’s Storm-Petrel (Hydrobates leucorhous), and contributes to broader marine management efforts under national and international policy frameworks.

Included Data

• Total datasets: 12 versioned folders (v1.0.0)• File types: 598 TIF files (raster data)

Marine shipping data:  • Ship light detection  • Shipping intensity density  • Shipping night light intensity density

Offshore petroleum infrastructure:  • Platform annual data  • Platform monthly data  • General petroleum activity data  • Detection frequency and total heat metrics (2017-2023)

Offshore petroleum pollution:  • Petroleum pollution incidents

Light pollution:  • Night light monthly data

Temporal range:  • Annual data: variable from 2017 to 2023  • Monthly granularity available for select datasets
DOI: 10.15468/dl.35uq2t
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coopernookia polygalacea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 298 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058023-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcr2bf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((70.741933 30.364048, 70.660574 30.35847, 70.58124599999999 30.341875, 70.505925 30.314677, 70.436486 30.277555, 70.37465 30.231433, 70.321945 30.177457, 70.279663 30.116969, 70.24883199999999 30.051468, 70.230192 29.982574, 70.22417900000001 29.911991, 70.230913 29.841456, 70.250203 29.772705, 70.28155 29.707425, 70.324164 29.647216, 70.37698399999999 29.59355, 70.438705 29.547736, 70.507813 29.510893, 70.582617 29.483917, 70.661295 29.467465, 70.741933 29.461936, 70.822571 29.467465, 70.90124900000001 29.483917, 70.97605299999999 29.510893, 71.04516099999999 29.547736, 71.106882 29.59355, 71.159702 29.647216, 71.202316 29.707425, 71.23366300000001 29.772705, 71.25295300000001 29.841456, 71.259687 29.911991, 71.253674 29.982574, 71.235034 30.051468, 71.20420300000001 30.116969, 71.16192100000001 30.177457, 71.109216 30.231433, 71.04738 30.277555, 70.977941 30.314677, 70.90262 30.341875, 70.823292 30.35847, 70.741933 30.364048))"},{"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/0058024-251120083545085/datasets/export for details.
DOI: 10.15468/dl.s7dpdj
title: Occurrence Download

description: A dataset containing 892887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rana",
 "Year 1923-2025"
 ]
}

 The dataset includes 892887 records from 3207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057980-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hamfxg
title: Occurrence Download

description: A dataset containing 130503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos L.f., Arthurdendyus triangulatus (Dendy, 1895), Cabomba caroliniana A.Gray, Callosciurus finlaysonii (Horsfield, 1823), Cherax destructor Clark, 1936, Corvus splendens Vieillot, 1817, Crassula helmsii (Kirk) Cockayne, Elodea densa (Planch.) Casp., Eriocheir sinensis H.Milne Edwards, 1853, Erythranthe guttata (DC.) G.L.Nesom, Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Faxonius virilis (Hagen, 1870), Gambusia affinis (Baird & Girard, 1853), Heracleum mantegazzianum Sommier & Levier, Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Heracleum pubescens (Hoffm.) M.Bieb., Houttuynia cordata Thunb., Hydrocotyle ranunculoides L.f., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Lagarosiphon major (Ridl.) Moss, Lepomis gibbosus (Linnaeus, 1758), Limnoperna fortunei (Dunker, 1857), Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven, Lysichiton americanus Hultén & H.St.John, Morone americana (Gmelin, 1789), Muntiacus reevesi (Ogilby, 1839), Myriophyllum aquaticum (Vell.) Verdc., Myriophyllum heterophyllum Michx., Pacifastacus leniusculus (Dana, 1852), Petasites japonicus (Siebold & Zucc.) Maxim., Pontederia cordata L., Procambarus acutus (Girard, 1852), Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Pseudorasbora parva (Temminck & Schlegel, 1846), Pycnonotus cafer (Linnaeus, 1766), Saururus cernuus L., Sciurus carolinensis Gmelin, 1788, Sciurus niger Linnaeus, 1758, Solenopsis invicta Buren, 1972, Solenopsis richteri Forel, 1909, Threskiornis aethiopicus (Latham, 1790), Vespa velutina Lepeletier, 1836, Zizania latifolia (Griseb.) Hance ex F.Muell.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 130503 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094827-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs984m
title: Occurrence Download

description: A dataset containing 22276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Symphytum asperum Lepech., Symphytum grandiflorum DC., Symphytum ×uplandicum Nyman)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 22276 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0329111-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26ruv2
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Shorea falciferoides Foxw."
 ]
}

 The dataset includes 271 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172403-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.397bhq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dorcus musimon Gené, 1836",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0218048-220831081235567/datasets/export for details.
DOI: 10.15468/dl.2c2h7y
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trichomycterus nigricans Valenciennes, 1832"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173016-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cr7jzz
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Primula cavaleriei Petitm."
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094829-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.