cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.x974vu
title: Occurrence Download

description: A dataset containing 476 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode IN ('ES', 'DE', 'FR', 'IT', 'PT', 'MA', 'DZ', 'TN', 'BE', 'AT', 'CZ')
 AND occurrence.datasetkey = '4fa7b334-ce0d-4e88-aaae-2e0c138d049e'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.taxonkey IN ('2480382', '2480441') OR occurrence.acceptedtaxonkey IN ('2480382', '2480441') OR occurrence.kingdomkey IN ('2480382', '2480441') OR occurrence.phylumkey IN ('2480382', '2480441') OR occurrence.classkey IN ('2480382', '2480441') OR occurrence.orderkey IN ('2480382', '2480441') OR occurrence.familykey IN ('2480382', '2480441') OR occurrence.genuskey IN ('2480382', '2480441') OR occurrence.specieskey IN ('2480382', '2480441'))
 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 AND occurrence.hascoordinate = TRUE)
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",
 occurrence.countrycode

 The dataset's 476 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003199-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15396530
title: Comparing Room Acoustics Simulation Tools: Dataset for Reproducing and Expanding the Results

description: This is the database connected to the paper Dijkman, L., Hoekstra, N. and Hornikx, M. Comparing Open-Source Room Acoustics Simulation Tools: Performance and Usabillity Insights (2025). This database contains the following information:



Simplified room geometries for Complex Room 2 (CR2) and Complex Room 4 (CR4) from the Benchmark for Room Acoustical Simulation (BRAS).

Material data (absorption, scattering and approximated reflection coefficients) for all materials in both rooms.

Source and receiver positions (x, y, z) according to the simplified room models.

All simulation results for the simulation tools used in the research.

Scripts for post processing of the results.


For an overview of all research on open-source simulation tools for room acoustics conducted by the TU/e Building Acoustics group, see: https://github.com/Building-acoustics-TU-Eindhoven/OSS_RoomAcoustics

References

@inproceedings{Dijk2025c,    author = {Luc Dijkman and Niels Hoekstra and Maarten Hornikx},    title = {{C}omparing {O}pen-{S}ource {R}oom {A}coustics {S}imulation {T}ools: {P}erformance and {U}sability {I}nsights},    booktitle = {{P}roceedings of the 11th {C}onvention of the {E}uropean {A}coustics {A}ssociation {F}orum {A}custicum / {E}uro{N}oise 2025},    year = {2025}}

@techReport{Aspo2020,   author = {Lukas Aspöck and Michael Vorländer and Fabian Brinkmann and David Ackermann and Stefan Weinzierl},   doi = {10.14279/depositonce-6726.2},   institution = {RWTH Aachen},   keywords = {Room acoustic simulation,acoustic modeling,virtual acoustic},   title = {\{B\}enchmark for \{R\}oom \{A\}coustical \{S\}imulation (\{BRAS\}) - \{D\}ocumentation of the database},   year = {2020}}

@article{Mond2020,   author = {Boris Mondet and Jonas Brunskog and Cheol Ho Jeong and Jens Holger Rindel},   doi = {10.1016/j.apacoust.2019.04.034},   issn = {1872910X},   journal = {Applied Acoustics},   keywords = {Absorption coefficient,Inverse problem,Room acoustics,Surface impedance},   publisher = {Elsevier Ltd},   title = {\{F\}rom absorption to impedance: \{E\}nhancing boundary conditions in room acoustic simulations},   volume = {157},   year = {2020}}

@inproceedings{Berz2017,   author = {Marco Berzborn and Ramona Bomhardt and Johannes Klein and Jan-Gerrit Richter and Michael Vorländer},   booktitle = {DAGA},   title = {\{T\}he \{ITA\}-\{T\}oolbox: \{A\}n \{O\}pen \{S\}ource \{MATLAB\} \{T\}oolbox for \{A\}coustic \{M\}easurements and \{S\}ignal \{P\}rocessing},   year = {2017}}

Revision history




Version
Date (yyyy-mm-dd)
Changes


0.2.0
2025-11-01




Added *.3ds file for room CR4.

Changed *.csv files for the material to make them consistent.

Added citation to conference paper connected to this database.




0.1.0
2025-05-13




Original upload
DOI: 10.5281/zenodo.18215846
title: Comparing Room Acoustics Simulation Tools: Dataset for Reproducing and Expanding the Results

description: This is the database connected to the paper Dijkman, L., Hoekstra, N. and Hornikx, M. Comparing Open-Source Room Acoustics Simulation Tools: Performance and Usabillity Insights (2025). This database contains the following information:



Simplified room geometries for Complex Room 2 (CR2) and Complex Room 4 (CR4) from the Benchmark for Room Acoustical Simulation (BRAS).

Material data (absorption, scattering and approximated reflection coefficients) for all materials in both rooms.

Source and receiver positions (x, y, z) according to the simplified room models.

All simulation results for the simulation tools used in the research.

Scripts for post processing of the results.


For an overview of all research on open-source simulation tools for room acoustics conducted by the TU/e Building Acoustics group, see: https://github.com/Building-acoustics-TU-Eindhoven/OSS_RoomAcoustics

References

@inproceedings{Dijk2025c,    author = {Luc Dijkman and Niels Hoekstra and Maarten Hornikx},    title = {{C}omparing {O}pen-{S}ource {R}oom {A}coustics {S}imulation {T}ools: {P}erformance and {U}sability {I}nsights},    booktitle = {{P}roceedings of the 11th {C}onvention of the {E}uropean {A}coustics {A}ssociation {F}orum {A}custicum / {E}uro{N}oise 2025},    year = {2025}}

@techReport{Aspo2020,   author = {Lukas Aspöck and Michael Vorländer and Fabian Brinkmann and David Ackermann and Stefan Weinzierl},   doi = {10.14279/depositonce-6726.2},   institution = {RWTH Aachen},   keywords = {Room acoustic simulation,acoustic modeling,virtual acoustic},   title = {\{B\}enchmark for \{R\}oom \{A\}coustical \{S\}imulation (\{BRAS\}) - \{D\}ocumentation of the database},   year = {2020}}

@article{Mond2020,   author = {Boris Mondet and Jonas Brunskog and Cheol Ho Jeong and Jens Holger Rindel},   doi = {10.1016/j.apacoust.2019.04.034},   issn = {1872910X},   journal = {Applied Acoustics},   keywords = {Absorption coefficient,Inverse problem,Room acoustics,Surface impedance},   publisher = {Elsevier Ltd},   title = {\{F\}rom absorption to impedance: \{E\}nhancing boundary conditions in room acoustic simulations},   volume = {157},   year = {2020}}

@inproceedings{Berz2017,   author = {Marco Berzborn and Ramona Bomhardt and Johannes Klein and Jan-Gerrit Richter and Michael Vorländer},   booktitle = {DAGA},   title = {\{T\}he \{ITA\}-\{T\}oolbox: \{A\}n \{O\}pen \{S\}ource \{MATLAB\} \{T\}oolbox for \{A\}coustic \{M\}easurements and \{S\}ignal \{P\}rocessing},   year = {2017}}

Revision history




Version
Date (yyyy-mm-dd)
Changes


0.2.0
2025-11-01




Added *.3ds file for room CR4.

Changed *.csv files for the material to make them consistent.

Added citation to conference paper connected to this database.




0.1.0
2025-05-13




Original upload
DOI: 10.15468/dl.ke78ae
title: Occurrence Download

description: A dataset containing 34352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Gyps fulvus"
 ]
}

 The dataset includes 34352 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003202-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e243438
title: Non-Medical Factor Measures for ZCTA, ACS 2017-2021

description: This dataset contains ZCTA-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.

To access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.
Read less
description: (Downloaded 1/10/2026)
DOI: 10.3886/e243438v1
title: Non-Medical Factor Measures for ZCTA, ACS 2017-2021

description: This dataset contains ZCTA-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.

To access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.
Read less
description: (Downloaded 1/10/2026)
DOI: 10.5281/zenodo.18216012
title: 39 Mycetohabitans MAGs identified and assembled from public Mucorales SRA data

description: Mycetohabitans MAGs identified and assembled from public Mucorales SRA data.
DOI: 10.5281/zenodo.18216013
title: 39 Mycetohabitans MAGs identified and assembled from public Mucorales SRA data

description: Mycetohabitans MAGs identified and assembled from public Mucorales SRA data.
DOI: 10.34740/kaggle/dsv/14467694
title: Indonesian Hoax News Dataset
DOI: 10.3886/e243439
title: Non-Medical Factor Measures for County, ACS 2017-2021

description: This dataset contains county-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.

To access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.
Read less
description: (Downloaded 1/10/2026)
DOI: 10.3886/e243439v1
title: Non-Medical Factor Measures for County, ACS 2017-2021

description: This dataset contains county-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.

To access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.
Read less
description: (Downloaded 1/10/2026)
DOI: 10.18738/t8/fzpwyz
title: Song data - Avalanche eGtACR1

description: Song data from Trusel et al., Nature 2025, Avalanche eGtACR1
DOI: 10.15468/dl.3fn26x
title: Occurrence Download

description: A dataset containing 13891980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is 2020",
 "Month is February"
 ]
}

 The dataset includes 13891980 records from 2717 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003198-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2kcq2r
title: CCDC 2364744: Experimental Crystal Structure Determination

description: Related Article: Qinghai Lu|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.answa9
title: Occurrence Download

description: A dataset containing 392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coleonema pulchellum I.Williams)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 392 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088642-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2kcq4t
title: CCDC 2364746: Experimental Crystal Structure Determination

description: Related Article: Qinghai Lu|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.qzheuj
title: Occurrence Download

description: A dataset containing 725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coleonema album (Thunb.) Bartl. & H.L.Wendl.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 725 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088643-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sf4xp9
title: Occurrence Download

description: A dataset containing 757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Issue is Coordinate rounded",
 "TaxonKey is Bufo melanostictus Schneider, 1799"
 ]
}

 The dataset includes 757 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088644-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwmvc4
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euodia hortensis Forst.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 218 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088645-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhm4cz
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hoppea dichotoma Hayne ex Willd.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088646-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12179650
title: ITH: An open database on Italian tenders 2016 - 2023

description: Italian Tender Hub (ITH)

Autorità Nazionale AntiCorruzione (ANAC) Open Data Catalogue: https://dati.anticorruzione.it/opendata

Istituto Nazionale di Sttistica (ISTAT): https://www.istat.it/en

Banca Dati Amministrazioni Pubbliche (BDAP): https://openbdap.rgs.mef.gov.it

The source code for downloading the datasets, analysing them and transforming them into SQL tables is publicly available in the following GitHub repositories:

https://github.com/roberto-nai/ANAC-OD-DOWNLOADER

https://github.com/roberto-nai/ANAC-OD-ANALYSER
description: As a first step, execute the SQL script "ITH_db_catalogue.sql" in MySQL to create the database and its tables with primary and foreign keys. Next, import the CSV files into the various tables via the MySQL functionality (the names of the tables to be populated correspond with the names of the CSV files).

Example of SQL script to import a CSV in the relative table:LOAD DATA INFILE 'TENDER_NOTICE.csv'INTO TABLE TENDER_NOTICEFIELDS TERMINATED BY ','ENCLOSED BY '"'LINES TERMINATED BY '\n'IGNORE 1 LINES;Note the following order of data import (to avoid errors between primary and foreign keys): CONTRACTING_AUTHORITIES_BDAP, ISTAT_DIMENSIONS, CONTRACTING_AUTHORITIES, CONTRACTOR_SELECTION_MODES, EXECUTION_MODES, COST_CENTRES, TENDER_NOTICE, all other tables.
DOI: 10.15468/dl.53sewp
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centaurium cachanlahuen (Molina) B.L.Rob.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 91 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088647-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtahus
title: Occurrence Download

description: A dataset containing 3059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Schenkia spicata (L.) G.Mans.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3059 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088648-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzfsbh
title: Occurrence Download

description: A dataset containing 62758 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luzula luzuloides (Lam.) Dandy & Wilmott)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 62758 records from 326 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088635-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12207310
title: trichoglossus_rubiginosus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.12207311
title: trichoglossus_rubiginosus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.12207201
title: Does Internet Use Benefit Health? - PSM-DID Evidence from China's CHARLS
DOI: 10.5281/zenodo.12207202
title: Does Internet Use Benefit Health? - PSM-DID Evidence from China's CHARLS
DOI: 10.6084/m9.figshare.26022871
title: Data & Script for Fig. S14

description: Bacterial growth in leaf extract medium made of NG2, NGmyb28, Col-0 and myb28/29 leaves
DOI: 10.6084/m9.figshare.26022871.v2
title: Data & Script for Fig. S14

description: Bacterial growth in leaf extract medium made of NG2, NGmyb28, Col-0 and myb28/29 leaves
DOI: 10.6084/m9.figshare.26022871.v1
title: Data & Script for Fig. S13

description: Bacterial growth in leaf extract medium made of NG2, NGmyb28, Col-0 and myb28/29 leaves
DOI: 10.5281/zenodo.12206901
title: OceanMotion dataset 2024_05_29.

description: An OceanMotion dataset (https://github.com/OniDaito/oceanmotion) created by the program CrabSeal (https://github.com/OniDaito/crabseal). 

This dataset consists of Seals and Fish, at 1/4 area from the original, saved as Numpy NPZ files, with a minimum lenght of 16 frames.
DOI: 10.5281/zenodo.12206902
title: OceanMotion dataset 2024_05_29.

description: An OceanMotion dataset (https://github.com/OniDaito/oceanmotion) created by the program CrabSeal (https://github.com/OniDaito/crabseal). 

This dataset consists of Seals and Fish, at 1/4 area from the original, saved as Numpy NPZ files, with a minimum lenght of 16 frames.
DOI: 10.15468/dl.a6zbes
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luzula elegans Lowe)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 295 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088650-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfgvk6
title: Occurrence Download

description: A dataset containing 3059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Schenkia spicata (L.) G.Mans.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3059 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088649-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.