cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.28vh2w
title: Occurrence Download

description: A dataset containing 9784398 records in GBIF matching the query:
SELECT occurrenceID, materialSampleID, eventID, parentEventID, eventType, fieldNumber, eventDate, eventTime, startDayOfYear, endDayOfYear, verbatimEventDate, habitat, samplingProtocol, sampleSizeValue, sampleSizeUnit, samplingEffort, fieldNotes, eventRemarks, locationID, higherGeographyID, higherGeography, continent, waterBody, islandGroup, island, countryCode, stateProvince, county, municipality, locality, verbatimLocality, verbatimElevation, verticalDatum, verbatimDepth, minimumDistanceAboveSurfaceInMeters, maximumDistanceAboveSurfaceInMeters, locationAccordingTo, locationRemarks, decimalLatitude, decimalLongitude, coordinateUncertaintyInMeters, coordinatePrecision, pointRadiusSpatialFit, footprintWKT, footprintSRS, footprintSpatialFit, georeferencedBy, georeferencedDate, georeferenceProtocol, georeferenceSources, georeferenceRemarks, geologicalContextID, earliestEonOrLowestEonothem, latestEonOrHighestEonothem, earliestEraOrLowestErathem, latestEraOrHighestErathem, earliestPeriodOrLowestSystem, latestPeriodOrHighestSystem, earliestEpochOrLowestSeries, latestEpochOrHighestSeries, earliestAgeOrLowestStage, latestAgeOrHighestStage, lowestBiostratigraphicZone, highestBiostratigraphicZone, lithostratigraphicTerms, formation, bed, identificationID, verbatimIdentification, identificationQualifier, typeStatus, identifiedBy, identifiedByID, dateIdentified, identificationReferences, identificationVerificationStatus, identificationRemarks, taxonID, scientificNameID, acceptedNameUsageID, parentNameUsageID, originalNameUsageID, nameAccordingToID, namePublishedInID, taxonConceptID, scientificName, acceptedNameUsage, parentNameUsage, originalNameUsage, nameAccordingTo, namePublishedIn, namePublishedInYear, higherClassification, kingdom, phylum, class, superfamily, family, subfamily, tribe, subtribe, genus, genericName, subgenus, infragenericEpithet, specificEpithet, infraspecificEpithet, cultivarEpithet, taxonRank, verbatimTaxonRank, vernacularName, nomenclaturalCode, taxonomicStatus, nomenclaturalStatus, taxonRemarks FROM occurrence WHERE basisOfRecord = 'FOSSIL_SPECIMEN'

 The dataset's 9784398 records were derived from 533 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086208-250717081556266/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.29782454
title: prueba.txt

description: esto es una prueba
DOI: 10.6084/m9.figshare.29782454.v1
title: prueba.txt

description: esto es una prueba
DOI: 10.15468/dl.8jv646
title: Occurrence Download

description: A dataset containing 4202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-126.69108 48.14803,-122.09774 48.14803,-122.09774 51.29823,-126.69108 51.29823,-126.69108 48.14803))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nereocystis luetkeana",
 "Year 2014-2025"
 ]
}

 The dataset includes 4202 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086223-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahqsk7
title: Occurrence Download

description: A dataset containing 36817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36817 records from 429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003854-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxf2px
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "TaxonKey is Orcinus orca"
 ]
}

 The dataset includes 113 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025455-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5u6b7h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bucerotiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-50 50,-40 50,-40 60,-50 60,-50 50))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025457-251009101135966/datasets/export for details.
DOI: 10.15468/dl.ba2xby
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (b6f05cf0-43ce-11d9-8439-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862)",
 "TaxonKey is Nassauvia argyrophylla"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025497-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.5y61tua0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (347 records)
DOI: 10.23719/1532237
title: EcoHealth Relationship Browser update 2025MAY

description: Updates to ecohealth relationship browser text and bibliography
DOI: 10.15151/esrf-es-2262516959
title: Piecing together the earliest complex tetrapod fauna

description: This proposal, a continuation of ES-1383, aims to study unique Devonian tetrapod fossils (359 million years old) from Greenland, collected during an expedition in 2024, by means of propagation phase contrast microtomography on Beamline BM18. Material collected in 2022 from the same locality has been studied in two preceding experiments at BM18 (ES-1383 and ES-1297) with outstanding results, revealing at least 5-6 new tetrapod genera and including the first examples of soft-tissue preservation ever recorded in Devonian tetrapods. The main aim of scanning the new material is to build up a comprehensive picture of the new tetrapods, by mapping overlapping data sets from partial skeletons that allow us to associate components (skulls, limb girdles, limb bones etc.) together correctly, so that we can describe, name and analyse them. The material to be scanned also includes the oldest known tetrapod coprolites (fossil faeces), which will provide the first direct evidence of their diet.
DOI: 10.23719/1532331
title: Redlining Exposure Metrics Project

description: We linked anonymous residential parcel information from Regrid with redlining polygons from Mapping Inequality, and assessed how assigning redlining grades from polygons to census tracts, census block groups, and ZIP codes might contribute to exposure misclassification in epidemiologic studies.
DOI: 10.23719/1532332
title: NBDPS Epigenetics Manuscript

description: We used data from the National Birth Defects Prevention Study to identify infants born in North Carolina with available new born blood spots. We processed dried blood spots to characterize DNA methylation patterns and evaluated differences in DNA methylation patterns by birth defect status (no birth defect, diagnosed with Tetralogy of Fallot) and by exposure to air pollution.
DOI: 10.23719/1530971
title: Database Masterfile

description: The dataset is a emission factor database for open burning, open detonation and static fire of obsolete military ordnance.
DOI: 10.23719/1532527
title: The Chemical and Products Database v4.0, an updated resource supporting chemical exposure evaluations

description: Links to data for "The Chemical and Products Database v4.0, an updated resource supporting chemical exposure evaluations"
DOI: 10.15468/dl.586frh
title: Occurrence Download

description: A dataset containing 951 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is one of (青海, 西藏自治区)",
 "Year 2005-2025"
 ]
}

 The dataset includes 951 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010105-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23719/1532007
title: Case study of DEHP Human biomonitoring health based guidance values

description: a database of human biomonitoring guidance values
DOI: 10.23719/d-t1gw
title: Human soil and dust ingestion data from the scientific literature

description: Data extracted from published scientific literature on soil and dust ingestion studies are included in the manuscript in Table S2. It includes age, age grouping, study type, study reference, N, mean, standard error, and 95% confidence intervals.
DOI: 10.3535/ny3-33w-162
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c7q-ktq-0ja
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fs9-2r7-94l
title: Diaphus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gn3-zja-sp2
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xev-4z5-r0e
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15156/bio/sh1412605.10fu
title: SH1412605.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1412606.10fu
title: SH1412606.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1412613.10fu
title: SH1412613.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.4231/hd6h-1x69
title: Financial Stress Survey Wave 2 in 2019

description: &lt;p data-end="1002" data-start="730"&gt;Wave 2 uses an anonymous, self-administered online questionnaire similar to Wave 1, targeting adult farmland workers and their household members in the United States. Core measures from the baseline survey are repeated so that changes over time can be observed, including:&lt;/p&gt;

&lt;ul data-end="1401" data-start="1004"&gt;
 &lt;li data-end="1133" data-start="1004"&gt;
 &lt;p data-end="1133" data-start="1006"&gt;&lt;strong data-end="1033" data-start="1006"&gt;Family financial stress&lt;/strong&gt; (perceived financial pressure, difficulty paying bills, concern about debt and income stability);&lt;/p&gt;
 &lt;/li&gt;
 &lt;li data-end="1281" data-start="1134"&gt;
 &lt;p data-end="1281" data-start="1136"&gt;&lt;strong data-end="1183" data-start="1136"&gt;Financial behaviors and resource management&lt;/strong&gt; (budgeting, saving, borrowing, paying down debt, using formal and informal financial services);&lt;/p&gt;
 &lt;/li&gt;
 &lt;li data-end="1401" data-start="1282"&gt;
 &lt;p data-end="1401" data-start="1284"&gt;&lt;strong data-end="1325" data-start="1284"&gt;Key socio-demographic characteristics&lt;/strong&gt; (age, gender, education, employment in agriculture, household composition).&lt;/p&gt;
 &lt;/li&gt;
&lt;/ul&gt;

&lt;p data-end="1486" data-start="1403"&gt;In addition, Wave 2 introduces several &lt;strong data-end="1476" data-start="1442"&gt;follow-up and refinement items&lt;/strong&gt;, such as:&lt;/p&gt;

&lt;ul data-end="1881" data-start="1488"&gt;
 &lt;li data-end="1611" data-start="1488"&gt;
 &lt;p data-end="1611" data-start="1490"&gt;Questions on how households responded to financial stress since the first survey (coping strategies, behavior changes);&lt;/p&gt;
 &lt;/li&gt;
 &lt;li data-end="1758" data-start="1612"&gt;
 &lt;p data-end="1758" data-start="1614"&gt;Items on &lt;strong data-end="1704" data-start="1623"&gt;interest in and perceived usefulness of financial or behavioral interventions&lt;/strong&gt; (education programs, counseling, planning support);&lt;/p&gt;
 &lt;/li&gt;
 &lt;li data-end="1881" data-start="1759"&gt;
 &lt;p data-end="1881" data-start="1761"&gt;Optional questions on broader well-being (e.g., stress, family relationships) to provide context for financial outcomes.&lt;/p&gt;
 &lt;/li&gt;
&lt;/ul&gt;

&lt;p data-end="2242" data-start="1883"&gt;All responses are collected &lt;strong data-end="1950" data-start="1911"&gt;without direct personal identifiers&lt;/strong&gt; and stored on secure, institutionally approved servers. Wave 2 thus extends the baseline by providing another &lt;strong&gt;cross-sectional snapshot&lt;/strong&gt; of how the population&rsquo;s financial stress and behavior evolve over time, and by identifying which groups may benefit most from tailored interventions.&lt;/p&gt;
description: Wave 2 is the second data collection in the project “Annual Tracking Family Financial Stress and Developing the Behavioral Intervention: Focusing on Farmland Workers.”
DOI: 10.15156/bio/sh1412614.10fu
title: SH1412614.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1412620.10fu
title: SH1412620.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1412621.10fu
title: SH1412621.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1412623.10fu
title: SH1412623.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1412624.10fu
title: SH1412624.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1412625.10fu
title: SH1412625.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.