cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48597/rt7g-eysh
title: Measurement of Sulphate_total at Deuselbach

description: Measurement of Sulphate_total at Deuselbach
DOI: 10.48597/rvdm-3wa9
title: Measurement of Chloride at Deuselbach

description: Measurement of Chloride at Deuselbach
DOI: 10.48597/rve6-s5km
title: Measurement of Thallium at Schauinsland

description: Measurement of Thallium at Schauinsland
DOI: 10.48597/sd5z-k44n
title: Measurement of Inorganics in precipitation at Zingst

description: Measurement of Inorganics in precipitation at Zingst
DOI: 10.48597/sdcg-b3rm
title: Measurement of Precipitation_amount at Zingst

description: Measurement of Precipitation_amount at Zingst
DOI: 10.48597/sdtq-bv7m
title: Measurement of Sulphate_total at Deuselbach

description: Measurement of Sulphate_total at Deuselbach
DOI: 10.48597/szs6-fp48
title: Measurement of Precipitation_amount at Deuselbach

description: Measurement of Precipitation_amount at Deuselbach
DOI: 10.48597/t83w-bymq
title: Measurement of Precipitation_amount at Melpitz

description: Measurement of Precipitation_amount at Melpitz
DOI: 10.48597/tgq3-ey25
title: Measurement of Sulphate_total at Deuselbach

description: Measurement of Sulphate_total at Deuselbach
DOI: 10.48597/tjxk-d49p
title: Measurement of Sulphate_total at Deuselbach

description: Measurement of Sulphate_total at Deuselbach
DOI: 10.48597/tru4-6nea
title: Measurement of Sodium at Deuselbach

description: Measurement of Sodium at Deuselbach
DOI: 10.48597/u6aj-utvz
title: Measurement of Sulphate_corrected at Deuselbach

description: Measurement of Sulphate_corrected at Deuselbach
DOI: 10.48597/usar-9v5a
title: Measurement of Chloride at Deuselbach

description: Measurement of Chloride at Deuselbach
DOI: 10.48597/uu96-pyht
title: Measurement of pH at Deuselbach

description: Measurement of pH at Deuselbach
DOI: 10.48597/uvgh-x4q2
title: Measurement of Potassium at Deuselbach

description: Measurement of Potassium at Deuselbach
DOI: 10.48597/vvre-hb7s
title: Measurement of Inorganics in precipitation at Deuselbach

description: Measurement of Inorganics in precipitation at Deuselbach
DOI: 10.48597/vzvn-2r9t
title: Measurement of Inorganics in precipitation at Deuselbach

description: Measurement of Inorganics in precipitation at Deuselbach
DOI: 10.15468/dl.wqcmkx
title: Occurrence Download

description: A dataset containing 268363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Reptilia"
 ]
}

 The dataset includes 268363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014450-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aba9rb
title: Occurrence Download

description: A dataset listing the 86008 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.48035 7.50058,-77.79697 1.48097,-70.86535 -1.50045,-69.16149 2.83532,-70.28449 6.34735,-76.48035 7.50058))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 86008 records were derived from 2501 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002816-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9peda
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON ((-3.712251 37.66225, -3.712263 37.66262, -3.7123 37.66299, -3.712361 37.66336, -3.712447 37.66373, -3.712557 37.66409, -3.712691 37.66445, -3.712848 37.6648, -3.713027 37.66514, -3.71323 37.66548, -3.713454 37.6658, -3.7137 37.66612, -3.713966 37.66643, -3.714253 37.66672, -3.714558 37.66701, -3.714882 37.66728, -3.715223 37.66753, -3.715581 37.66778, -3.715954 37.668, -3.716341 37.66821, -3.716742 37.66841, -3.717156 37.66858, -3.71758 37.66875, -3.718015 37.66889, -3.718458 37.66901, -3.718909 37.66912, -3.719366 37.6692, -3.719829 37.66927, -3.720295 37.66932, -3.720764 37.66935, -3.721234 37.66936, -3.721704 37.66935, -3.722173 37.66932, -3.722639 37.66927, -3.723102 37.6692, -3.723559 37.66912, -3.72401 37.66901, -3.724453 37.66889, -3.724888 37.66875, -3.725312 37.66858, -3.725726 37.66841, -3.726127 37.66821, -3.726514 37.668, -3.726887 37.66778, -3.727245 37.66753, -3.727586 37.66728, -3.72791 37.66701, -3.728215 37.66672, -3.728502 37.66643, -3.728768 37.66612, -3.729014 37.6658, -3.729238 37.66548, -3.729441 37.66514, -3.72962 37.6648, -3.729777 37.66445, -3.729911 37.66409, -3.730021 37.66373, -3.730107 37.66336, -3.730168 37.66299, -3.730205 37.66262, -3.730217 37.66225, -3.730205 37.66188, -3.730168 37.66151, -3.730107 37.66114, -3.730021 37.66077, -3.729911 37.66041, -3.729777 37.66005, -3.72962 37.6597, -3.729441 37.65936, -3.729238 37.65902, -3.729014 37.65869, -3.728768 37.65838, -3.728502 37.65807, -3.728215 37.65777, -3.72791 37.65749, -3.727586 37.65722, -3.727245 37.65696, -3.726887 37.65672, -3.726514 37.6565, -3.726127 37.65628, -3.725726 37.65609, -3.725312 37.65591, -3.724888 37.65575, -3.724453 37.65561, -3.72401 37.65549, -3.723559 37.65538, -3.723102 37.65529, -3.722639 37.65522, -3.722173 37.65518, -3.721704 37.65515, -3.721234 37.65514, -3.720764 37.65515, -3.720295 37.65518, -3.719829 37.65522, -3.719366 37.65529, -3.718909 37.65538, -3.718458 37.65549, -3.718015 37.65561, -3.71758 37.65575, -3.717156 37.65591, -3.716742 37.65609, -3.716341 37.65628, -3.715954 37.6565, -3.715581 37.65672, -3.715223 37.65696, -3.714882 37.65722, -3.714558 37.65749, -3.714253 37.65777, -3.713966 37.65807, -3.7137 37.65838, -3.713454 37.65869, -3.71323 37.65902, -3.713027 37.65936, -3.712848 37.6597, -3.712691 37.66005, -3.712557 37.66041, -3.712447 37.66077, -3.712361 37.66114, -3.7123 37.66151, -3.712263 37.66188, -3.712251 37.66225))"
 ]
}

 The dataset includes 258 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011822-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9f9yg
title: Occurrence Download

description: A dataset listing the 39 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is Chilopoda"
 ]
}

 The dataset's 39 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011809-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17517745
title: SynthCity Case Study – Genoa, Italy

description: 🏙️ SynthCity Case Study – Genoa, Italy

📜 Preferred Citation

If you use this dataset, please cite the IEEE article below:



D. Russo, F. R. D. Torrepadula, L. L. L. Starace, S. D. Martino and N. Mazzocca,“A Framework for Generating Synthetic Urban Mobility Datasets With Customizable Anomalous Scenarios,”IEEE Open Journal of Intelligent Transportation Systems, 2025.DOI: 10.1109/OJITS.2025.3626948








 



@article{D. Russo, F. Rocco Di Torrepadula, L. Libero Lucio Starace, S. Di Martino and N. Mazzocca, "A Framework for Generating Synthetic Urban Mobility Datasets With Customizable Anomalous Scenarios," in IEEE Open Journal of Intelligent Transportation Systems, vol. 6, pp. 1439-1458, 2025, doi: 10.1109/OJITS.2025.3626948}

 


SynthCity is a multimodal synthetic mobility dataset generated using the Eclipse SUMO traffic simulator. In this case study, we consider open urban data from Genoa, Italy.It enables the analysis, modeling, and evaluation of anomalous urban mobility scenarios, such as strikes, road closures, and sudden demand surges, under realistic city-scale conditions.

Built on a modular pipeline for simulation-based synthetic data generation, SynthCity integrates:





🗺️ OpenStreetMap road network




🚍 GTFS data from AMT Genova




🧮 Origin–Destination (OD) matrices from the City of Genoa



The dataset includes both nominal and anomalous conditions, providing fine-grained mobility traces for:





🚗 Private transport (individual trajectories, travel times, routes, delays)




🚌 Public transport (stop-level events, passenger counts, delays, service disruptions)




🌐 Network-level dynamics (flow, density, and speed for every edge)



🧪 Anomalous Scenarios





Metro Strike — full suspension of subway service and demand redistribution across bus lines.




Special Event — localized demand increase around a stadium zone.




Road Closure — complete blockage of a key arterial road with dynamic rerouting and congestion buildup.



📊 Dataset Highlights








Category
Entries
Description




Public Transport
5,607,953 (normal) / 937,233 (anomalous)
Stop-level operations, delays, boarding & alighting


Private Vehicles
2,581,172 (normal) / 381,381 (anomalous)
Individual trajectories, duration, route length, waiting time


Network Edges
58,685,598 (normal) / 8,190,843 (anomalous)
Traffic density, mean speed, occupancy, flow






Each dataset component is provided as a CSV file.

🧩 Use Cases





AI-based mobility prediction and demand forecasting




Urban anomaly detection and scenario analysis




ITS optimization and resilience modeling




Simulation-driven benchmarking for traffic management algorithms
DOI: 10.5281/zenodo.17517746
title: SynthCity Case Study – Genoa, Italy

description: 🏙️ SynthCity Case Study – Genoa, Italy

📜 Preferred Citation

If you use this dataset, please cite the IEEE article below:



D. Russo, F. R. D. Torrepadula, L. L. L. Starace, S. D. Martino and N. Mazzocca,“A Framework for Generating Synthetic Urban Mobility Datasets With Customizable Anomalous Scenarios,”IEEE Open Journal of Intelligent Transportation Systems, 2025.DOI: 10.1109/OJITS.2025.3626948








 



@article{D. Russo, F. Rocco Di Torrepadula, L. Libero Lucio Starace, S. Di Martino and N. Mazzocca, "A Framework for Generating Synthetic Urban Mobility Datasets With Customizable Anomalous Scenarios," in IEEE Open Journal of Intelligent Transportation Systems, vol. 6, pp. 1439-1458, 2025, doi: 10.1109/OJITS.2025.3626948}

 


SynthCity is a multimodal synthetic mobility dataset generated using the Eclipse SUMO traffic simulator. In this case study, we consider open urban data from Genoa, Italy.It enables the analysis, modeling, and evaluation of anomalous urban mobility scenarios, such as strikes, road closures, and sudden demand surges, under realistic city-scale conditions.

Built on a modular pipeline for simulation-based synthetic data generation, SynthCity integrates:





🗺️ OpenStreetMap road network




🚍 GTFS data from AMT Genova




🧮 Origin–Destination (OD) matrices from the City of Genoa



The dataset includes both nominal and anomalous conditions, providing fine-grained mobility traces for:





🚗 Private transport (individual trajectories, travel times, routes, delays)




🚌 Public transport (stop-level events, passenger counts, delays, service disruptions)




🌐 Network-level dynamics (flow, density, and speed for every edge)



🧪 Anomalous Scenarios





Metro Strike — full suspension of subway service and demand redistribution across bus lines.




Special Event — localized demand increase around a stadium zone.




Road Closure — complete blockage of a key arterial road with dynamic rerouting and congestion buildup.



📊 Dataset Highlights








Category
Entries
Description




Public Transport
5,607,953 (normal) / 937,233 (anomalous)
Stop-level operations, delays, boarding & alighting


Private Vehicles
2,581,172 (normal) / 381,381 (anomalous)
Individual trajectories, duration, route length, waiting time


Network Edges
58,685,598 (normal) / 8,190,843 (anomalous)
Traffic density, mean speed, occupancy, flow






Each dataset component is provided as a CSV file.

🧩 Use Cases





AI-based mobility prediction and demand forecasting




Urban anomaly detection and scenario analysis




ITS optimization and resilience modeling




Simulation-driven benchmarking for traffic management algorithms
DOI: 10.15468/dl.jkpmmu
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bondarzewia guaitecasensis"
 ]
}

 The dataset includes 197 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011823-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f974bj
title: Occurrence Download

description: A dataset containing 1194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epinephelus maculatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1194 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011824-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ynzgt
title: Occurrence Download

description: A dataset containing 328345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 39.085278",
 "DecimalLatitude is less than or equal to 44.085278",
 "DecimalLongitude is greater than or equal to -120.0",
 "DecimalLongitude is less than or equal to -115.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 328345 records from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011795-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30732827.v1
title: Data for Manjoro et al. (2025) Refuge by Day, Forage by Night: Diel Activity of Vine Weevil as Characterised by Smart Monitoring

description: This dataset is for Manjoro et al. (2025) Refuge by Day, Forage by Night: Diel Activity of Vine Weevil as Characterised by Smart Monitoring.
DOI: 10.6084/m9.figshare.30732827
title: Data for Manjoro et al. (2025) Refuge by Day, Forage by Night: Diel Activity of Vine Weevil as Characterised by Smart Monitoring

description: This dataset is for Manjoro et al. (2025) Refuge by Day, Forage by Night: Diel Activity of Vine Weevil as Characterised by Smart Monitoring.
DOI: 10.15468/dl.suegzj
title: Occurrence Download

description: A dataset containing 133030 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'ID'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 133030 records were derived from 874 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011808-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvw2gh
title: Occurrence Download

description: A dataset containing 47721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agkistrodon",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 47721 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011827-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ay3bqa
title: Occurrence Download

description: A dataset containing 499 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidosiren paradoxa"
 ]
}

 The dataset includes 499 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011829-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28254926
title: Chronic viral infection impairs the growth process of spleen B cells

description: Chronic viral infections are a major global health issue, leading to global immune system dysfunction, including impaired function and depletion of B cells. However, its pathogenic mechanism and how chronic viral infection affects the differentiation and function of B cells have not been thoroughly studied. Our research found that infection with LCMV-CL13 in mice would lead to atrophy and damage of the white medulla of the spleen, as well as impaired reproductive center (GC) response. In addition, we also identified the key factors regulating the differentiation of B cells in LCMV-CL13-infected mice.<br>
DOI: 10.6084/m9.figshare.28254926.v1
title: Chronic viral infection impairs the growth process of spleen B cells

description: Chronic viral infections are a major global health issue, leading to global immune system dysfunction, including impaired function and depletion of B cells. However, its pathogenic mechanism and how chronic viral infection affects the differentiation and function of B cells have not been thoroughly studied. Our research found that infection with LCMV-CL13 in mice would lead to atrophy and damage of the white medulla of the spleen, as well as impaired reproductive center (GC) response. In addition, we also identified the key factors regulating the differentiation of B cells in LCMV-CL13-infected mice.<br>
DOI: 10.15468/dl.5jfzph
title: Occurrence Download

description: A dataset containing 3927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrilus planipennis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3927 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011830-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gdyrz
title: Occurrence Download

description: A dataset containing 5277 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspidoscelis costatus"
 ]
}

 The dataset includes 5277 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011831-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcqap6
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fuchsia campos-portoi Pilg. & G.K.Schulze",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 27 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008680-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzmb6h
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crassula alticola R.Fern.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0315572-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7egbv
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saussurea ceterach Hand.-Mazz.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0321272-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.roj0fk
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Urophyllum umbellulatum Miq."
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008680-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qqf6h
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eugenia monteverdensis Barrie"
 ]
}

 The dataset includes 64 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161167-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ayapqf
title: Occurrence Download

description: A dataset containing 869468 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Thailand"
 ]
}

 The dataset includes 869468 records from 551 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008681-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqcd5x
title: Occurrence Download

description: A dataset containing 971 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erica articularis L."
 ]
}

 The dataset includes 971 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038175-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.