cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5hcus2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.859086 -33.876164, 148.859086 -33.880656, 148.868069 -33.880656, 148.868069 -33.885147, 148.872561 -33.885147, 148.872561 -33.887393, 148.879298 -33.887393, 148.879298 -33.885147, 148.874807 -33.885147, 148.874807 -33.880656, 148.872561 -33.880656, 148.872561 -33.87841, 148.863578 -33.87841, 148.863578 -33.876164, 148.859086 -33.876164)), ((148.872561 -33.87841, 148.874807 -33.87841, 148.874807 -33.876164, 148.872561 -33.876164, 148.872561 -33.87841)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059312-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26531131
title: Data source (5) for "Slow optical response of semi-insulating GaN film studied by terahertz emission and photoluminescence spectroscopy"

description: Raw data for Fig9b in "Slow optical response of semi-insulating GaN film studied by terahertz emission and photoluminescence spectroscopy"We measured the PL time variation for five times, named "Fig9b_timevariation1–5"."Fig9b_timevariation**_3s_times_ (12)" means 3 * 12 = 36s after starting excitation.Fig9b shows the spectra averaged at each time point.
DOI: 10.6084/m9.figshare.26531131.v1
title: Data source (5) for "Slow optical response of semi-insulating GaN film studied by terahertz emission and photoluminescence spectroscopy"

description: Raw data for Fig9b in "Slow optical response of semi-insulating GaN film studied by terahertz emission and photoluminescence spectroscopy"We measured the PL time variation for five times, named "Fig9b_timevariation1–5"."Fig9b_timevariation**_3s_times_ (12)" means 3 * 12 = 36s after starting excitation.Fig9b shows the spectra averaged at each time point.
DOI: 10.5519/qd.x3zhv9fc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (53 records)
DOI: 10.15468/dl.z7hdag
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.281296 -33.876164, 149.281296 -33.880656, 149.288034 -33.880656, 149.288034 -33.876164, 149.281296 -33.876164))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059313-240626123714530/datasets/export for details.
DOI: 10.15468/dl.7avmd3
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.983224 -33.876164, 147.983224 -33.87841, 147.978733 -33.87841, 147.978733 -33.880656, 147.983224 -33.880656, 147.983224 -33.887393, 147.98547 -33.887393, 147.98547 -33.885147, 147.994453 -33.885147, 147.994453 -33.880656, 147.998945 -33.880656, 147.998945 -33.87841, 147.992208 -33.87841, 147.992208 -33.876164, 147.983224 -33.876164)), ((147.998945 -33.880656, 147.998945 -33.885147, 148.005682 -33.885147, 148.005682 -33.880656, 147.998945 -33.880656)))"
 ]
}

 The dataset includes 188 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059314-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfes5s
title: Occurrence Download

description: A dataset containing 1773664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actitis hypoleucos (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1773664 records from 1518 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059310-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2584tn
title: Occurrence Download

description: A dataset containing 150991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ondatra zibethicus (Linnaeus, 1766)",
 "DatasetKey is one of (VMM - Rat control occurrences in Flanders, Belgium, Muskrat captures in Flanders, Belgium, MICA - Muskrat occurrences collected by RATO in East Flanders, Belgium, MICA - Muskrat occurrences collected by VMM in Flanders, Belgium, RATO - daily operations commissioned by the province East Flanders, Belgium, MICA - Muskrat occurrences collected in West Flanders, Belgium)"
 ]
}

 The dataset includes 150991 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004396-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tk4fu7
title: Occurrence Download

description: A dataset containing 760 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gobius bucchichi Steindachner, 1870",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 760 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004404-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13149747
title: Cuestionario MAIA 2 para evaluar Técnica Alexander
DOI: 10.48331/scielodata.rcbydo/whgrbp
title: Material suplementar 2_Instrumento coleta de dados eng.pdf

description: Instrumento de coleta de dados utilizado na validação da ERLAM, versão inglês
DOI: 10.48331/scielodata.rcbydo/otkcm9
title: Material suplementar1_ROC_Esp.pdf

description: Curva ROC do processo de valiodação da escala ERLAM, versão espanhol
DOI: 10.48331/scielodata.rcbydo/lnt191
title: Material suplementar 2_Instrumento coleta de dados port.pdf

description: Instrumento de coleta de dados utilizado na validação da ERLAM, versão portugês
DOI: 10.48331/scielodata.rcbydo/cqjz2t
title: Material suplementar1_ROC_Eng.pdf

description: Curva ROC do processo de valiodação da escala ERLAM, versão ingês
DOI: 10.48331/scielodata.rcbydo/f2f2na
title: Material suplementar 3_PRISMA ESP.pdf

description: Diagrama PRISMA da revisão integrativa realizada para elaboração da ERLAM, versão espanhol
DOI: 10.48331/scielodata.rcbydo/jsxaya
title: Material suplementar 1_ROC_Port.pdf

description: Curva ROC do processo de valiodação da escala ERLAM, versão português
DOI: 10.6084/m9.figshare.30209632
title: All raw data about RNAseq results

description: All raw data about RNAseq results
DOI: 10.6084/m9.figshare.30209632.v1
title: All raw data about RNAseq results

description: All raw data about RNAseq results
DOI: 10.48331/scielodata.rcbydo/wmhtuz
title: Material suplementar 2_Instrumento coleta de dados esp.pdf

description: Instrumento de coleta de dados utilizado na validação da ERLAM, versão espanhol
DOI: 10.48331/scielodata.rcbydo/44hbez
title: Material suplementar 3_PRISMA ENG.pdf

description: Diagrama PRISMA da revisão integrativa realizada para elaboração da ERLAM, versão inglês
DOI: 10.48331/scielodata.rcbydo/buwufw
title: Material suplementar 3__PRISMA port.pdf

description: Diagrama PRISMA da revisão integrativa realizada para elaboração da ERLAM, versão português
DOI: 10.48331/scielodata.rcbydo/zqjpum
title: Readme-20250925-en.txt

description: Readme file.
DOI: 10.48331/scielodata.rcbydo
title: Escala de avaliação de risco de desenvolvimento de lesões de pele relacionadas a adesivos médicos
title: material suplementar

description: Trata-se de material suplementar de um estudo metodológico composto por elaboração, validação de face, de conteúdo, de critério preditiva e análise de confiabilidade interobservadores da Escala de Avaliação de Risco para o Desenvolvimento de Lesões de pele Relacionadas a Adesivos Médicos (ERLAM).
DOI: 10.5523/bris.j4p2y997d312ll4kl4upuoas
title: 2025 data - Advanced Science - hypogravity resistance suit

description: Data supporting the following paper:

A resistive soft robotic exosuit for dynamic body loading in hypogravity, Emanuele Pulvirenti, Richard Suphapol Diteesawat, Gaspare Pavei, Valentina Natalucci, Helmut Hauser, Alberto Minetti, Jonathan Rossiter, Advanced Science, 2025, ADVS71892
DOI: 10.15468/dl.amjc9g
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tolmiea menziesii",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 83 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015987-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.run8jn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tolmiea menziesii",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015988-250920141307145/datasets/export for details.
DOI: 10.15468/dl.9we859
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tolmiea menziesii",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 37 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015989-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5878/pama-e009
title: Nursing students self-assessments of SELC20+20 and learning methods
title: Sjuksköterskestudenters självskattning av SELC20+20 och lärandemetoder

description: This dataset consists of survey data collected from students enrolled in the nursing program in Sweden. The variables include gender, age (grouped), educational level, previous healthcare education, and the semester of the nursing program in which the student is enrolled. In addition, the dataset contains self-reported responses to the SELC20+20 questionnaire (Self-Efficacy in Lifestyle Counselling scale) as well as self-reported responses concerning learning methods.

To ensure anonymity, variables such as age and educational level have been grouped. Individually identifiable information has been removed. Variables created during the analysis process have been excluded, so that only relevant variables remain in the dataset.

The dataset is saved in a non-proprietary format (CSV) and can be opened in common statistical software such as SPSS, R, Stata, or Excel. No special software is required.
description: Detta dataset består av enkätdata insamlade från studenter på sjuksköterskeprogrammet i Sverige. Variablerna omfattar bl.a. kön, ålder (grupperad), utbildningsnivå, tidigare erfarenhet av vårdutbildning, samt vilken termin studenten går. Därutöver ingår självskattade svar på frågeformuläret SELC20+20 (Self-Efficacy in Lifestyle Counselling scale) samt självskattade svar om lärandemetoder.

För att säkerställa anonymitet har variabler som ålder och utbildningsnivå grupperats. Enskilda identifierbara uppgifter har tagits bort. Variabler som tillkommit under analysprocessen har rensats bort, så att enbart relevanta variabler återstår i datasetet.

Datafilen är sparad i icke-proprietärt format (CSV) och kan öppnas i vanliga statistikprogram såsom SPSS, R, Stata eller Excel. Ingen särskild mjukvara krävs.
DOI: 10.5878/m0ff-ke30
title: Nursing students self-assessments of SELC20+20 and learning methods
title: Sjuksköterskestudenters självskattning av SELC20+20 och lärandemetoder

description: This dataset consists of survey data collected from students enrolled in the nursing program in Sweden. The variables include gender, age (grouped), educational level, previous healthcare education, and the semester of the nursing program in which the student is enrolled. In addition, the dataset contains self-reported responses to the SELC20+20 questionnaire (Self-Efficacy in Lifestyle Counselling scale) as well as self-reported responses concerning learning methods.

To ensure anonymity, variables such as age and educational level have been grouped. Individually identifiable information has been removed. Variables created during the analysis process have been excluded, so that only relevant variables remain in the dataset.

The dataset is saved in a non-proprietary format (CSV) and can be opened in common statistical software such as SPSS, R, Stata, or Excel. No special software is required.
description: Detta dataset består av enkätdata insamlade från studenter på sjuksköterskeprogrammet i Sverige. Variablerna omfattar bl.a. kön, ålder (grupperad), utbildningsnivå, tidigare erfarenhet av vårdutbildning, samt vilken termin studenten går. Därutöver ingår självskattade svar på frågeformuläret SELC20+20 (Self-Efficacy in Lifestyle Counselling scale) samt självskattade svar om lärandemetoder.

För att säkerställa anonymitet har variabler som ålder och utbildningsnivå grupperats. Enskilda identifierbara uppgifter har tagits bort. Variabler som tillkommit under analysprocessen har rensats bort, så att enbart relevanta variabler återstår i datasetet.

Datafilen är sparad i icke-proprietärt format (CSV) och kan öppnas i vanliga statistikprogram såsom SPSS, R, Stata eller Excel. Ingen särskild mjukvara krävs.
DOI: 10.34740/kaggle/dsv/13170501
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.30166237
title: Light fluence distribution.zip

description: The light fluence distribution on the image slice that contains the light source at wavelengths of 660, 808, and 980 nm.
DOI: 10.6084/m9.figshare.30166237.v1
title: Light fluence distribution.zip

description: The light fluence distribution on the image slice that contains the light source at wavelengths of 660, 808, and 980 nm.
DOI: 10.15468/dl.h5b9kg
title: Occurrence Download

description: A dataset containing 58814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myotis emarginatus)",
 "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 58814 records from 1271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015970-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qr895b
title: Occurrence Download

description: A dataset containing 934212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Saxicola rubetra)",
 "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 934212 records from 1713 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015936-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0178688.10fu
title: SH0178688.10FU

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/sh0178689.10fu
title: SH0178689.10FU

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/sh0178690.10fu
title: SH0178690.10FU

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/sh0178691.10fu
title: SH0178691.10FU

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/sh0178692.10fu
title: SH0178692.10FU

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/sh0178693.10fu
title: SH0178693.10FU

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/sh0178694.10fu
title: SH0178694.10FU

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.