cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a4rs8e
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acacia gentlei"
 ]
}

 The dataset includes 208 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000898-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztchfr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Brevoortia pectinata"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000897-260225131425191/datasets/export for details.
DOI: 10.15468/dl.5wp8fv
title: Occurrence Download

description: A dataset containing 984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-115.43577 31.61502,-106.15933 31.61502,-106.15933 39.19723,-115.43577 39.19723,-115.43577 31.61502))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Heloderma suspectum",
 "Year 2020-2026"
 ]
}

 The dataset includes 984 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000899-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xw663d
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Ochlerotatus cantans"
 ]
}

 The dataset includes 40 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000900-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cj4tkh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Brevoortia smithi"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000903-260225131425191/datasets/export for details.
DOI: 10.15468/dl.bknsef
title: Occurrence Download

description: A dataset containing 1021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-115.0884 31.70188,-113.61701 31.156,-106.77182 31.48391,-105.81221 38.79793,-114.83251 38.6482,-115.0884 31.70188))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Heloderma suspectum",
 "Year 2020-2026"
 ]
}

 The dataset includes 1021 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000901-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58jg3b
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acacia chiapensis"
 ]
}

 The dataset includes 56 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000905-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/9pwrpu
title: CESJ - Herbário Leopoldo Krieger

description: O Herbário Leopoldo Krieger (CESJ) foi iniciado na década de 1940, por iniciativa dos padres Luiz Roth e Leopoldo Krieger. Em 1983 a coleção foi incorporada à Universidade Federal de Juiz de Fora. O acervo do Herbário CESJ reúne coleções de algas, fungos, briófitas, pteridófitas, gimnospermas e angiospermas, além de carpoteca e xiloteca, com mais de 56000 registros de plantas, principalmente da região da Zona da Mata de Minas Gerais.
DOI: 10.15468/dl.wre3cn
title: Occurrence Download

description: A dataset containing 25904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Spyridium"
 ]
}

 The dataset includes 25904 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000904-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/r6xpl1
title: ZUEC-HEM - Coleção de Hemiptera do Museu de Zoologia da UNICAMP

description: A coleção de Hemiptera do Museu de Zoologia &#147;Prof. Adão José Cardoso&#148; da Universidade Estadual de Campinas (UNICAMP) conta com material conservado em via úmida (álcool 70%). Os exemplares são provenientes dos estados de São Paulo e Minas Gerais (Sudeste do Brasil). O processo de catalogação e informatização da coleção está em andamento e está sendo utilizado o gerenciador de banco de dados Microsoft Excel. A maior parte do acervo constitui a coleção científica, destinada principalmente ao atendimento de pesquisadores interessados no estudo dos Hemiptera.
DOI: 10.5281/zenodo.18776948
title: hypsolebias_fasciatus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18776949
title: hypsolebias_fasciatus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18776838
title: Eye-Tracking-Visualisierungen zur Aufmerksamkeitsverteilung von Notfallsanitäter-Auszubildenden in einem pädiatrischen Gewalt-Szenario (explorativer Nebenbefund)

description: Dieser Datensatz enthält 37 aggregierte Eye-Tracking-Visualisierungen (Heatmaps, View-Maps, Fog-Views) aus einem experimentellen Setting im Rahmen einer Dissertation zur Wirkung digitaler Bildungsräume in der Notfallsanitäterausbildung.

Der zugrunde liegende Stimulus zeigt ein pädiatrisches Gewalt-Szenario (Kindesmisshandlung) aus einem Fachvortrag des Rettungsdienstkongresses 2022. Die Verwendung des Stimulusmaterials erfolgt mit ausdrücklicher Genehmigung des Referenten sowie des Veranstalters (MEDI-LEARN.net GbR).

Die Studie umfasste drei Ausbildungsjahrgänge mit jeweils drei männlichen und drei weiblichen Auszubildenden pro Jahrgang (Gesamt n = 18). Das ursprüngliche Studiendesign zielte nicht auf geschlechtsspezifische Wahrnehmungsunterschiede ab. Die hier dokumentierten Differenzen stellen einen explorativen, hypothesengenerierenden Nebenbefund dar.

Veröffentlicht werden ausschließlich aggregierte und vollständig anonymisierte Visualisierungen. Individuelle Blickverläufe oder Rohdaten sind nicht enthalten. Es wurden keine inferenzstatistischen Analysen durchgeführt. Aufgrund der geringen Stichprobengröße sind die Ergebnisse nicht generalisierbar.

Der Datensatz dokumentiert einen Fall technikgestützter Sichtbarmachung selektiver professioneller Wahrnehmung in einem High-Responsibility-Kontext und dient der Transparenz, Nachvollziehbarkeit und weiteren Hypothesenbildung.
DOI: 10.5281/zenodo.18776839
title: Eye-Tracking-Visualisierungen zur Aufmerksamkeitsverteilung von Notfallsanitäter-Auszubildenden in einem pädiatrischen Gewalt-Szenario (explorativer Nebenbefund)

description: Dieser Datensatz enthält 37 aggregierte Eye-Tracking-Visualisierungen (Heatmaps, View-Maps, Fog-Views) aus einem experimentellen Setting im Rahmen einer Dissertation zur Wirkung digitaler Bildungsräume in der Notfallsanitäterausbildung.

Der zugrunde liegende Stimulus zeigt ein pädiatrisches Gewalt-Szenario (Kindesmisshandlung) aus einem Fachvortrag des Rettungsdienstkongresses 2022. Die Verwendung des Stimulusmaterials erfolgt mit ausdrücklicher Genehmigung des Referenten sowie des Veranstalters (MEDI-LEARN.net GbR).

Die Studie umfasste drei Ausbildungsjahrgänge mit jeweils drei männlichen und drei weiblichen Auszubildenden pro Jahrgang (Gesamt n = 18). Das ursprüngliche Studiendesign zielte nicht auf geschlechtsspezifische Wahrnehmungsunterschiede ab. Die hier dokumentierten Differenzen stellen einen explorativen, hypothesengenerierenden Nebenbefund dar.

Veröffentlicht werden ausschließlich aggregierte und vollständig anonymisierte Visualisierungen. Individuelle Blickverläufe oder Rohdaten sind nicht enthalten. Es wurden keine inferenzstatistischen Analysen durchgeführt. Aufgrund der geringen Stichprobengröße sind die Ergebnisse nicht generalisierbar.

Der Datensatz dokumentiert einen Fall technikgestützter Sichtbarmachung selektiver professioneller Wahrnehmung in einem High-Responsibility-Kontext und dient der Transparenz, Nachvollziehbarkeit und weiteren Hypothesenbildung.
DOI: 10.15468/dl.78z56w
title: Occurrence Download

description: A dataset listing the 128053 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 128053 records were derived from 3098 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000864-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1409712.10fu
title: SH1409712.10FU

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/sh1409714.10fu
title: SH1409714.10FU

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/sh1409715.10fu
title: SH1409715.10FU

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/sh1409723.10fu
title: SH1409723.10FU

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/sh1409725.10fu
title: SH1409725.10FU

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: 10.17026/ar/s46en6
title: Ternaard, Herweystrjitte E.O. (Gemeente Noardeast Fryslân, Fr.) Een Archeologisch Bureauonderzoek en Inventariserend Veldonderzoek (IVO-O) Verkennende & Karterende fase

description: &lt;p&gt;Het plangebied ligt van oorsprong in een pleistoceen dekzandgebied. Op de
geomorfologische kaart en bodemkaart is het plangebied grotendeels niet gekarteerd
wegens de ligging binnen de bebouwde kom. Afgaande op de omgeving ligt het
geomorfologisch gezien deels op een terp (B91), en deels op een kwelderwal (B75). De
bodem in het plangebied bestaat vermoedelijk uit kalkarme poldervaaggronden van lichte of
zware zavel (Mn15C/Mn25C). De maaiveldhoogte in het gebied ligt op circa 0,6 tot 0,8
meter boven NAP. In de omgeving zijn een vijftal AMK-terreinen bekend. Dit zijn allen
terpen, waaronder de dorpsterp van Ternaard. Op basis van het bureauonderzoek was een
hoge verwachting voor nederzettingsresten uit de ijzertijd tot de nieuwe tijd. Om het
verwachtingsmodel te toetsen zijn door De Steekproef in plangebied binnen het deel van het
plangebied dat langs de Worp van Peymastrjitte ligt, veertien boringen gezet met steeds
vijftien meter afstand tussen de boorpunten. In het deel van het plangebied dat tussen de
Herweystrjitte en de Gijsbert Japiksstrjitte ligt, zijn elf boringen gezet met steeds ongeveer
vijftig meter afstand tussen de boorpunten.&lt;/p&gt;
De natuurlijke ondergrond bestaat overal in het plangebied uit een getijde-afzetting
van door enkele zandlaagjes onderbroken klei. Hierboven is in het deel van het plangebied
dat tussen de Herweystrjitte en de Gijsbert Japiksstrjitte ligt een vijftig tot bijna tachtig
centimeter dik pakket sterk zandige, zwak humeuze kwelderklei aangetroffen. De top hiervan
is op alle hier gelegen boorpunten opgenomen in de moderne toplaag van vergraven klei.
Terplagen of overige archeologische indicatoren zijn hier nergens aangetroffen. In de onder
de bestrating van de Worp van Peymastrjitte gezette boringen is de bodem tot een diepte van
ongeveer 1,2 meter beneden het maaiveld verstoord ten gevolge van twintigste eeuwse
graafactiviteiten. Doordat deze boringen zijn gezet op de delen van de straat waarop geen
kabels en leidingen liggen, moet er van worden uitgegaan dat de bodem op de delen
waarop wel kabels en leidingen liggen, mogelijk nog dieper is verstoord. In enkele van de
pal langs de Worp van Peymastrjitte gezette boringen is nog een deels intacte
bodemopbouw aangetroffen die grotendeels overeenkomt met die zoals tussen de
Herweystrjitte en de Gijsbert Japiksstrjitte is aangetroffen. Op slechts twee van deze
boorpunten lijkt een archeologisch relevant pakket aanwezig te zijn. Het betreft twee
boorpuntenin het midden van het langs de Worp van Peymastrjitte gelegen deel van het
plangebied. Op deze twee boorpunten is op slechts dertig centimeter beneden het
maaiveldeen terpvoet-achtig pakket van humusrijke, sterk zandige klei aangetroffen met
daarin op één boorpunt een botdeeltje. Dit pakket loopt hier door tot ongeveer veertig
centimeter beneden het maaiveld (0,3 meter +NAP). In geen van de overige boringen zijn
archeologisch relevante lagen of vondsten aangetroffen.
DOI: 10.15156/bio/sh1409726.10fu
title: SH1409726.10FU

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/sh1409727.10fu
title: SH1409727.10FU

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/sh1409730.10fu
title: SH1409730.10FU

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: 10.15468/dl.4wexez
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron rarilepidotum"
 ]
}

 The dataset includes 99 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078185-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25954/de9t-mm38
title: Lipoceramic Technologies: a Solution to Low and Variable Bioavailability of Poorly Soluble Anti-Inflammatory Drugs [IWEMC-259]
DOI: 10.15468/dl.94tnrt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Micronema platypogon)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078189-250717081556266/datasets/export for details.