cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qga9na
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Annulobalcis vinarius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019774-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/kj74i4
title: Replication Data for: Principals’ Moral Identity and Transformational Leadership of Public Secondary Schools in Taiwan

description: This dataset contains survey responses from 47 public secondary school principals in Taiwan who participated in a study examining the relationship between moral identity and transformational leadership. Participants completed the Chinese versions of the Self-Importance of Moral Identity Scale (Aquino & Reed, 2002) and the Multifactor Leadership Questionnaire (MLQ-5X).

The dataset includes variables measuring:

Moral Identity Internalization

Moral Identity Symbolization

Transformational Leadership Components (Idealized Influence, Inspirational Motivation, Intellectual Stimulation, and Individualized Consideration)

Demographic variables (gender, age group, years of administrative experience, school level, and school size)
DOI: 10.15468/dl.dr6ssb
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Ficus tinctoria"
 ]
}

 The dataset includes 161 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019776-251120083545085/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.30749243
title: Bacteria Prediction Dataset, Code, and Documentation for Parkside Aquatic Park (2019–2025)

description: This dataset and analysis package support a machine-learning study on predicting fecal indicator bacteria levels at <b>Parkside Aquatic Park in San Mateo, California</b>. The dataset integrates publicly available environmental records from three sources:Surface Water Fecal Indicator Bacteria Monitoring Results (California Open Data Portal)Hourly weather observations (NOAA Global Historical Climatology Network)Sanitary sewer overflow (SSO) spill reports (California State Water Resources Control Board)The compiled CSV file contains over <b>800 water-quality samples</b> collected between <b>2019 and 2025</b>, with engineered environmental features representing recent conditions prior to each sample. Variables include:<b>Result:</b> measured E. coli or Enterococcus (MPN/100 mL)<b>rain_1day:</b> rainfall in the previous 24 hours (mm)<b>rain_3day_sum:</b> cumulative rainfall in the previous 3 days (mm)<b>temp_3day_avg:</b> average air temperature in the previous 3 days (°F)<b>sso_7day_reachsurf_count:</b> number of sewage spills in the previous 7 days that reached surface waters<b>sso_7day_totalvolume:</b> total volume of those spills (gallons)This Figshare item includes:<b>aquatic_park_final.csv</b> — the complete cleaned dataset<b>Jupyter Notebook (analysis code)</b> used for preprocessing, exploratory analysis, feature engineering, model training, and figure generation<b>Documentation (.md)</b> containing the exact Excel formulas and data-source references used to construct the dataset<b>PDF manuscript</b> describing the research motivation, methods, results, and model evaluation (Logistic Regression, Random Forest, and Log-Transformed Random Forest)The goal of this project is to support environmental modeling, community water-safety research, and reproducible machine-learning studies. All files are provided for reuse under the CC BY 4.0 license.
DOI: 10.6084/m9.figshare.30749243.v1
title: Bacteria Prediction Dataset, Code, and Documentation for Parkside Aquatic Park (2019–2025)

description: This dataset and analysis package support a machine-learning study on predicting fecal indicator bacteria levels at <b>Parkside Aquatic Park in San Mateo, California</b>. The dataset integrates publicly available environmental records from three sources:Surface Water Fecal Indicator Bacteria Monitoring Results (California Open Data Portal)Hourly weather observations (NOAA Global Historical Climatology Network)Sanitary sewer overflow (SSO) spill reports (California State Water Resources Control Board)The compiled CSV file contains over <b>800 water-quality samples</b> collected between <b>2019 and 2025</b>, with engineered environmental features representing recent conditions prior to each sample. Variables include:<b>Result:</b> measured E. coli or Enterococcus (MPN/100 mL)<b>rain_1day:</b> rainfall in the previous 24 hours (mm)<b>rain_3day_sum:</b> cumulative rainfall in the previous 3 days (mm)<b>temp_3day_avg:</b> average air temperature in the previous 3 days (°F)<b>sso_7day_reachsurf_count:</b> number of sewage spills in the previous 7 days that reached surface waters<b>sso_7day_totalvolume:</b> total volume of those spills (gallons)This Figshare item includes:<b>aquatic_park_final.csv</b> — the complete cleaned dataset<b>Jupyter Notebook (analysis code)</b> used for preprocessing, exploratory analysis, feature engineering, model training, and figure generation<b>Documentation (.md)</b> containing the exact Excel formulas and data-source references used to construct the dataset<b>PDF manuscript</b> describing the research motivation, methods, results, and model evaluation (Logistic Regression, Random Forest, and Log-Transformed Random Forest)The goal of this project is to support environmental modeling, community water-safety research, and reproducible machine-learning studies. All files are provided for reuse under the CC BY 4.0 license.
DOI: 10.5281/zenodo.17774419
title: Adverse Outcome Pathway Wiki RDF

description: This dataset is the RDF generated from the AOP-Wiki data release (aopwiki.org/downloads). It was generated using a Jupyter notebook that is available on GitHub (github.com/marvinm2/AOPWikiRDF), and the process and additional description of the RDF have been published (doi.org/10.1089/aivt.2021.0010).
description: Funded by the European Union's Horizon 2020 (EU 2020) research and innovation program under grant agreement no. 681002 (EU-ToxRisk), grant agreement no. 814572 (NanoSolveIT), grant agreement no. 814425 (RiskGONE), EINFRA-22-2016 program under grant agreement no. 731075 (OpenRiskNet), and VHP4Safety, which is funded by the Netherlands Research Council (NWO) 'Netherlands Research Agenda: Research on Routes by Consortia' (NWA-ORC 1292.19.272)
DOI: 10.15468/dl.sv8cy6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urotocus crecci",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019778-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17774444
title: Ipseity Daily Data

description: At what rate do individuals say they are X?

Begining on 2025-07-08, I surveyed a small random sample of American adults on a daily cadence.  They responded to many items of the form: Does <signifier> describe you today?

The file ipseity-daily-aggregated.csv in this repository contains the aggregated results through 2025-07-28.  The columns are as follows:



signifier - a word, phrase or emoji

yes_count - the number of respondents who answered yes (aggregated all-time).

no_count - the number of respondents who answered no (aggregated all-time).

prevalence_per_10k - an estimate of the prevalence per 10,000.  If we were to survey 10,000 American adults, how many would we expect to respond yes to this signifier?  The number is calculated as yes_count / (yes_count + no_count) * 10,000.

earliest_obs_date - this date represents the first time this particular signifier was ever displayed to a respondent.  Signifiers are chosen with stochasticity from a long list; new signifiers are sometimes added, old signifiers are sometimes deleted, and a signifier may be moved higher or lower in priority for sampling.

latest_obs_date - the date closest to the present date on which signifier was most recently presented to a respondent.


Version created on 2025-12-01 — cumulative data.
DOI: 10.15468/dl.dt8wkx
title: Occurrence Download

description: A dataset containing 899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bupleurum chinense"
 ]
}

 The dataset includes 899 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019780-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymv3wu
title: Occurrence Download

description: A dataset containing 439560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((56.75 51.7,63.75 51.7,63.75 56.6,56.75 56.6,56.75 51.7))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 439560 records from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019749-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ze2xc
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malayaspira rugosa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019781-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17774432
title: Computer codes creating figures 1 and 2 of the paper entitled "Quantum-Enhanced Picostrain Sensing with Superconducting Qubits"
DOI: 10.5281/zenodo.17774433
title: Computer codes creating figures 1 and 2 of the paper entitled "Quantum-Enhanced Picostrain Sensing with Superconducting Qubits"
DOI: 10.15468/dl.hp3ztx
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Isatis indigotica"
 ]
}

 The dataset includes 34 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019782-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5u57w
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrolycus jaco",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019783-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71947/arim.jpmxp1223nm2008-2
title: 液体原料を用いたプラズマCVDによるSiO2成膜
DOI: 10.5281/zenodo.17774487
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.5281/zenodo.17774488
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).
DOI: 10.5281/zenodo.17774464
title: Data Speak Louder than Price: Understanding the Drivers of Information Utility
DOI: 10.5281/zenodo.17774465
title: Data Speak Louder than Price: Understanding the Drivers of Information Utility
DOI: 10.15468/dl.wbxnbb
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Colemaniella albulus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019784-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwmmm3
title: Occurrence Download

description: A dataset containing 871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scutellaria baicalensis"
 ]
}

 The dataset includes 871 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019785-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyp2sr
title: Occurrence Download

description: A dataset containing 704081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex acetosella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 704081 records from 2883 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019766-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znqdh7
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.70445 51.97632,-3.75801 51.92276,-3.68248 51.85547,-3.55614 51.86234,-3.4861 51.87607,-3.43666 51.8541,-3.41469 51.88293,-3.3625 51.82938,-3.25264 51.80328,-3.09608 51.75659,-2.99721 51.56708,-2.94365 51.51901,-2.85164 51.66458,-2.82143 51.74423,-2.94914 51.81015,-2.9821 51.8692,-3.00682 51.92001,-3.08372 51.98456,-3.22517 52.0079,-3.26088 52.02988,-3.38448 52.0491,-3.49297 52.06558,-3.59322 52.05597,-3.70445 51.97632))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Margaritifera margaritifera (Linnaeus, 1758)"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056363-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mm9bdy
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Mexico",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "License is CC-BY-NC 4.0",
 "License is CC-BY 4.0"
 ]
 },
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Spilogale pygmaea Thomas, 1898"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0311849-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99f45h
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Machine Observation"
 ]
 },
 "Geometry POLYGON((-65.83008 -60.19616,-16.34766 -60.67318,-15.11719 -42.81152,-13.71094 -12.89749,-31.28906 10.83331,-43.24219 24.84657,-38.32031 36.87962,-25.83984 65.58572,-36.38672 67.54217,-47.63672 67.54217,-68.68652 67.25506,-69.16992 65.54937,-77.21191 64.68032,-78.00293 63.33241,-77.3877 62.20651,-72.68555 59.04055,-70.13672 53.85253,-76.24512 48.95137,-78.83789 41.83683,-82.44141 37.30028,-95.80078 33.57801,-101.77734 27.21556,-98.10791 18.16673,-94.81201 17.28771,-90.06592 14.96601,-87.60498 15.00846,-85.18799 13.94473,-84.35303 10.2933,-82.33154 8.68964,-81.10107 8.47237,-80.52979 8.6462,-79.29932 9.25394,-78.46436 8.9936,-77.03613 7.4932,-69.60937 2.1089,-50.97656 -14.26438,-68.99414 -40.5138,-72.1582 -51.01375,-68.4668 -54.41893,-65.83008 -60.19616))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ophidiaster guildingi Gray, 1840"
 ]
}

 The dataset includes 112 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188067-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpnzaw
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coryphaenoides carapinus Goode & Bean, 1883"
 ]
}

 The dataset includes 233 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029087-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67vm59
title: Occurrence Download

description: A dataset containing 2725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elymus mutabilis (Drobow) Tzvelev)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2725 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053910-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.astlvh
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Syagrus glaucescens Glaz. ex Becc.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 50 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003721-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukwjsn
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UAM Mammal Observations (Arctos)"
 ]
}

 The dataset includes 255 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005143-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.953fqn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Machine Observation"
 ]
 },
 "Geometry POLYGON((-65.83008 -60.19616,-16.34766 -60.67318,-15.11719 -42.81152,-13.71094 -12.89749,-31.28906 10.83331,-43.24219 24.84657,-38.32031 36.87962,-25.83984 65.58572,-36.38672 67.54217,-47.63672 67.54217,-68.68652 67.25506,-69.16992 65.54937,-77.21191 64.68032,-78.00293 63.33241,-77.3877 62.20651,-72.68555 59.04055,-70.13672 53.85253,-76.24512 48.95137,-78.83789 41.83683,-82.44141 37.30028,-95.80078 33.57801,-101.77734 27.21556,-98.10791 18.16673,-94.81201 17.28771,-90.06592 14.96601,-87.60498 15.00846,-85.18799 13.94473,-84.35303 10.2933,-82.33154 8.68964,-81.10107 8.47237,-80.52979 8.6462,-79.29932 9.25394,-78.46436 8.9936,-77.03613 7.4932,-69.60937 2.1089,-50.97656 -14.26438,-68.99414 -40.5138,-72.1582 -51.01375,-68.4668 -54.41893,-65.83008 -60.19616))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ophidiaster ophidianus (Lamarck, 1816)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188070-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2siuvq
title: Occurrence Download

description: A dataset containing 1686 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lysionotus pauciflorus Maxim."
 ]
}

 The dataset includes 1686 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029076-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5enmd
title: Occurrence Download

description: A dataset containing 34026 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON((-169.10156 70.14036,-168.39844 67.06743,-169.10156 59.17593,-173.32031 54.16243,-123.39844 17.97873,-77.69531 -28.92163,-87.77481 -60.35224,-36.68894 -56.97397,-37.61778 -39.24118,-30.1871 -17.37524,-37.61778 18.25951,-49.69262 45.41349,-36.91406 51.61802,-33.05072 65.16474,-9.87229 71.19014,-2.46094 83.59903,-66.44531 84.40594,-127.61719 81.09321,-149.41406 75.84517,-169.10156 70.14036))",
 "HasGeospatialIssue is false",
 "TaxonKey is Procyon Storr, 1780",
 "Year 1980-2021"
 ]
}

 The dataset includes 34026 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284587-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8myvh
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Guatemala",
 "Country is Nicaragua"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Triatoma nitida Usinger, 1939"
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035156-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmcelk
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Codium cylindricum Holmes, 1896"
 ]
}

 The dataset includes 152 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024435-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.