cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18086630
title: Retratações científicas no YouTube: informação, ambiguidade e desinformação na  circulação de artigos retratados em vídeos de divulgação científica

description: Este conjunto de dados reúne os materiais empíricos utilizados na tese de doutorado que investiga a circulação, o uso e a interpretação de artigos científicos posteriormente retratados em vídeos de divulgação científica publicados no YouTube. A pesquisa parte do pressuposto de que, embora a retratação científica atue como um mecanismo formal de correção do conhecimento, artigos retratados continuam a circular em ambientes digitais, frequentemente sem a devida contextualização, ampliando riscos de desinformação científica. Os dados incluem informações sobre vídeos e canais analisados, tais como título, identificador, data de publicação, responsável pelo canal e métricas de engajamento (visualizações, curtidas e comentários). Também são apresentados dados bibliográficos dos artigos científicos citados nos vídeos, incluindo título, periódico, ano de publicação, ano e motivo da retratação. O conjunto contempla ainda transcrições completas ou trechos selecionados dos vídeos, utilizados como base para a análise qualitativa, bem como categorias analíticas atribuídas aos conteúdos, tipos de menção aos artigos retratados e formas de enquadramento narrativo observadas. A organização dos dados reflete as etapas metodológicas da pesquisa, combinando procedimentos de coleta, sistematização e análise documental e qualitativa. A disponibilização pública deste conjunto visa assegurar transparência metodológica, favorecer a reprodutibilidade das análises e permitir o reuso dos dados por outros pesquisadores interessados em temas como comunicação científica, divulgação científica em plataformas digitais, retratação científica, métricas de engajamento e desinformação científica. Os dados podem subsidiar estudos comparativos, análises longitudinais e investigações metodológicas sobre a circulação social do conhecimento científico em ambientes digitais.
DOI: 10.5281/zenodo.18086631
title: Retratações científicas no YouTube: informação, ambiguidade e desinformação na  circulação de artigos retratados em vídeos de divulgação científica

description: Este conjunto de dados reúne os materiais empíricos utilizados na tese de doutorado que investiga a circulação, o uso e a interpretação de artigos científicos posteriormente retratados em vídeos de divulgação científica publicados no YouTube. A pesquisa parte do pressuposto de que, embora a retratação científica atue como um mecanismo formal de correção do conhecimento, artigos retratados continuam a circular em ambientes digitais, frequentemente sem a devida contextualização, ampliando riscos de desinformação científica. Os dados incluem informações sobre vídeos e canais analisados, tais como título, identificador, data de publicação, responsável pelo canal e métricas de engajamento (visualizações, curtidas e comentários). Também são apresentados dados bibliográficos dos artigos científicos citados nos vídeos, incluindo título, periódico, ano de publicação, ano e motivo da retratação. O conjunto contempla ainda transcrições completas ou trechos selecionados dos vídeos, utilizados como base para a análise qualitativa, bem como categorias analíticas atribuídas aos conteúdos, tipos de menção aos artigos retratados e formas de enquadramento narrativo observadas. A organização dos dados reflete as etapas metodológicas da pesquisa, combinando procedimentos de coleta, sistematização e análise documental e qualitativa. A disponibilização pública deste conjunto visa assegurar transparência metodológica, favorecer a reprodutibilidade das análises e permitir o reuso dos dados por outros pesquisadores interessados em temas como comunicação científica, divulgação científica em plataformas digitais, retratação científica, métricas de engajamento e desinformação científica. Os dados podem subsidiar estudos comparativos, análises longitudinais e investigações metodológicas sobre a circulação social do conhecimento científico em ambientes digitais.
DOI: 10.6084/m9.figshare.30278368
title: AHR activity assay Luciferase data and analysis

description: measurement of aryl hydrocarbon receptor agonist activity in fecal samples using luciferase-expressing reporter cell line
DOI: 10.6084/m9.figshare.30278368.v1
title: AHR activity assay Luciferase data and analysis

description: measurement of aryl hydrocarbon receptor agonist activity in fecal samples using luciferase-expressing reporter cell line
DOI: 10.6084/m9.figshare.30278368.v2
title: AHR activity assay Luciferase data and analysis

description: measurement of aryl hydrocarbon receptor agonist activity in fecal samples using luciferase-expressing reporter cell line
DOI: 10.4211/hs.e2cf9b794cfa449b9abca5fe1ea2848d
title: AIMS SE Approach3 Sediment nutrient

description: This study was conducted in the Talladega research watershed (33.76219799, -85.59550775), along an unnamed intermittent tributary of Pendergrass Creek, in the Talladega National Forest within the Piedmont Upland physiographic province (Al, USA). The creek's drainage area spans an elevation range of 150–730 m and contributes to Choccolocco Creek, a tributary of the Coosa River. The region experiences a humid subtropical climate, with mean annual temperatures ranging from -2°C to 32°C and annual precipitation of 140–160 cm. The surrounding vegetation includes a mix of deciduous forests and pine plantations, while the streambed comprises saprolite cobble, gravel, and sand substrates. This synoptic survey was designed in support of the sampling goals of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) Project. In June 2022, a field team collected datasets characterizing hydrology, biogeochemistry, and ecology at 48 locations within a sub-drainage of Pendergrass Creek. Sites were selected to balance multiple competing priorities: (i) strategically targeting existing monitoring infrastructure with long-term data; (ii) including sites near known springs and tributary junctions; and (iii) representing a range of drainage area and topographic wetness index (TWI) values, both of which have been correlated with flow permanence. Briefly, the sites selected based on drainage area and TWI were chosen by binning drainage area into 10 bins and then binning TWI into quintiles within each drainage area bin. We then randomly selected a point in each bin after accounting for points selected based on existing infrastructure, springs, and tributaries; and enforcing a minimum spacing of 100 m between locations. We then made minor adjustments to points to account for field conditions, for instance adjusting locations with respect to a road crossing.  At each location, samples of water (if present), biofilm, leaf litter, and sediment were collected. Sediment nutrient concentrations (ammonium, orthophosphate, and nitrate) were quantified by extracting 10 g of sediment with degassed deionized water, followed by centrifugation and filtration. Extracts were analyzed using colorimetric microplate assays: indophenol blue for ammonium, molybdenum blue for orthophosphate, and the vanadium chloride/Griess method for nitrate. Nutrient concentrations were calculated from standard curves and reported per gram of dry sediment, and sediment extract pH was measured
DOI: 10.15468/dl.jbbr7y
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Europe",
 "Country is Spain",
 "Geometry POLYGON((-3.40574 36.15574,-0.05622 36.08261,-0.41833 37.92594,-2.00256 38.37089,-3.04363 38.31764,-3.69995 37.22642,-3.40574 36.15574))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Olea europaea"
 ]
}

 The dataset includes 114 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068538-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17905141
title: From Attack Trees to Attack Graphs: Implementing Conversion and User Evaluation: Dataset

description: This data contains the questionnaire and corresponding anonymised response data used in the bachelor’s thesis: From Attack Trees to Attack Graphs: Implementing Conversion and User Evaluation
DOI: 10.5281/zenodo.17905142
title: From Attack Trees to Attack Graphs: Implementing Conversion and User Evaluation: Dataset

description: This data contains the questionnaire and corresponding anonymised response data used in the bachelor’s thesis: From Attack Trees to Attack Graphs: Implementing Conversion and User Evaluation
DOI: 10.15468/dl.vpa74v
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tylototriton pasmansi"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068539-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13011/m3-29rq-cc16
title: Using instrumented indentation to identify site specific deformation modes in polycrystalline Mg-Y alloys
DOI: 10.4211/hs.eb7624d386584c1fb5468ed376487552
title: AIMS Southeast (Talladega) approach3 EEAS

description: This study was conducted in the Talladega research watershed (33.76219799, -85.59550775), along an unnamed intermittent tributary of Pendergrass Creek, in the Talladega National Forest within the Piedmont Upland physiographic province (Al, USA). The creek's drainage area spans an elevation range of 150–730 m and contributes to Choccolocco Creek, a tributary of the Coosa River. The region experiences a humid subtropical climate, with mean annual temperatures ranging from -2°C to 32°C and annual precipitation of 140–160 cm. The surrounding vegetation includes a mix of deciduous forests and pine plantations, while the streambed comprises saprolite cobble, gravel, and sand substrates. This synoptic survey was designed in support of the sampling goals of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) Project. In June 2022, a field team collected datasets characterizing hydrology, biogeochemistry, and ecology at 48 locations within a sub-drainage of Pendergrass Creek. Sites were selected to balance multiple competing priorities: (i) strategically targeting existing monitoring infrastructure with long-term data; (ii) including sites near known springs and tributary junctions; and (iii) representing a range of drainage area and topographic wetness index (TWI) values, both of which have been correlated with flow permanence. Briefly, the sites selected based on drainage area and TWI were chosen by binning drainage area into 10 bins and then binning TWI into quintiles within each drainage area bin. We then randomly selected a point in each bin after accounting for points selected based on existing infrastructure, springs, and tributaries; and enforcing a minimum spacing of 100 m between locations. We then made minor adjustments to points to account for field conditions, for instance adjusting locations with respect to a road crossing.  At each location, samples of water (if present), biofilm, leaf litter, and sediment were collected. The activity of microbial enzymes associated with organic matter decomposition (β-glucosidase, phenol oxidase, and peroxidase) and the mineralization of organic nitrogen (N-acetylglucosaminidase) and phosphorus (phosphatase) were measured. Enzyme activities were quantified fluorometrically using 4-methylumbelliferyl (MUB)-linked substrates or colorimetrically using 4-nitrophenyl (pNP)-linked substrates and 3,4-dihydroxyphenylalanine (L-DOPA)-linked substrates.
DOI: 10.13140/rg.2.2.34049.52324
title: Orlando amaba las flores: Vita Sackville-West, la musa 'jardinera'
DOI: 10.15468/dl.z8etzj
title: Occurrence Download

description: A dataset containing 99786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lantana camara"
 ]
}

 The dataset includes 99786 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068519-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/ahqs-68x9
title: Nitrogen oxides at SR-Belvedere

description: Measurement of Nitrogen oxides at SR-Belvedere
DOI: 10.48597/ht3a-rs8s
title: Measurement of Nitrogen oxides at SR-Belvedere

description: Measurement of Nitrogen oxides at SR-Belvedere
DOI: 10.48597/ab3n-tkm2
title: VOC (aromatics) at SR-Belvedere

description: Measurement of VOC (aromatics) at SR-Belvedere
DOI: 10.48597/v9e6-g9wb
title: Measurement of Nitrogen oxides at SR-Belvedere

description: Measurement of Nitrogen oxides at SR-Belvedere
DOI: 10.48597/qzfg-mzb6
title: Measurement of VOC (aromatics) at SR-Belvedere

description: Measurement of VOC (aromatics) at SR-Belvedere
DOI: 10.48597/3dgg-pdwh
title: Measurement of VOC (aromatics) at SR-Belvedere

description: Measurement of VOC (aromatics) at SR-Belvedere
DOI: 10.5281/zenodo.18085454
title: Linking the Sustainable Development Goals to Standardized Nursing Language: An Educational Strategy Using the Nursing Interventions Classification (NIC)

description: This dataset contains the complete results from an educational intervention conducted with undergraduate nursing students at a School of Nursing in Spain. The study explored how nursing students link United Nations Sustainable Development Goals (SDGs) to standardized nursing interventions using the Nursing Interventions Classification (NIC, 7th edition). The dataset includes 68 student group responses across all 17 SDGs, with 164 participating students from four academic years (1st through 4th year). For each SDG, the data includes the selected target, chosen NIC intervention code and name, and three specific nursing activities. Data is organized by academic year to allow comparative analysis. Study design: Cross-sectional descriptive study with exploratory comparative analysis. Sample: All students enrolled in courses where faculty agreed to collaborate (convenience sampling). Each group was randomly assigned one SDG, selected a relevant target, and identified an appropriate NIC intervention with three specific nursing activities during a one-hour classroom session. The database is provided in Excel format (.xlsx) in Spanish, as this was the original language of instruction and data collection. The file includes multiple sheets with data, SDG target legends, and NIC code translations. While primarily in Spanish, NIC intervention codes are internationally standardized and can be cross-referenced with the official NIC taxonomy in any language.
DOI: 10.5281/zenodo.18085453
title: Linking the Sustainable Development Goals to Standardized Nursing Language: An Educational Strategy Using the Nursing Interventions Classification (NIC)

description: This dataset contains the complete results from an educational intervention conducted with undergraduate nursing students at a School of Nursing in Spain. The study explored how nursing students link United Nations Sustainable Development Goals (SDGs) to standardized nursing interventions using the Nursing Interventions Classification (NIC, 7th edition). The dataset includes 68 student group responses across all 17 SDGs, with 164 participating students from four academic years (1st through 4th year). For each SDG, the data includes the selected target, chosen NIC intervention code and name, and three specific nursing activities. Data is organized by academic year to allow comparative analysis. Study design: Cross-sectional descriptive study with exploratory comparative analysis. Sample: All students enrolled in courses where faculty agreed to collaborate (convenience sampling). Each group was randomly assigned one SDG, selected a relevant target, and identified an appropriate NIC intervention with three specific nursing activities during a one-hour classroom session. The database is provided in Excel format (.xlsx) in Spanish, as this was the original language of instruction and data collection. The file includes multiple sheets with data, SDG target legends, and NIC code translations. While primarily in Spanish, NIC intervention codes are internationally standardized and can be cross-referenced with the official NIC taxonomy in any language.
DOI: 10.15468/dl.4rrenb
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tylototriton phukhaensis"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068540-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zb4xa
title: Occurrence Download

description: A dataset containing 2684660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Fabaceae",
 "Year 1045-2006"
 ]
}

 The dataset includes 2684660 records from 615 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068527-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5by9j
title: Occurrence Download

description: A dataset containing 3271454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (Spain, United Kingdom of Great Britain and Northern Ireland)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fabaceae"
 ]
}

 The dataset includes 3271454 records from 539 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068525-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive10721.20241212.9.2
title: Nocardia vaccinii Demaree and Smith 1952 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10722.20241212.9.2
title: Nocardia mexicana Rodríguez-Nava et al. 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10724.20241212.9.2
title: Nocardia globerula (Gray 1928) Waksman and Henrici 1948

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.3vz93q
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is CSIC-Real Jardín Botánico-Colección de Algas (MA-Algae)",
 "TaxonKey is Fucus Linnaeus, 1753"
 ]
}

 The dataset includes 170 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010186-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive10725.20241212.9.2
title: Nocardia seriolae Kudo et al. 1988

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10726.20241212.9.2
title: Nocardia pseudobrasiliensis Ruimy et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10727.20241212.9.2
title: Nocardia salmonicida subsp. salmonicida (Isik et al. 1999) Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10728.20241212.9.2
title: Nocardia paucivorans Yassin et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10731.20241212.9.2
title: Nocardia abscessus Yassin et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10733.20241212.9.2
title: Nocardia flavorosea Chun et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10742.20241212.9.2
title: Nocardia nova Tsukamura 1983 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10746.20241212.9.2
title: Nocardia cyriacigeorgica Yassin et al. 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10747.20241212.9.2
title: Nocardia cyriacigeorgica Yassin et al. 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10749.20241212.9.2
title: Nocardia salmonicida subsp. cummidelens (Maldonado et al. 2001) Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10751.20241212.9.2
title: Nocardia fluminea Maldonado et al. 2001 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10752.20241212.9.2
title: Nocardia salmonicida subsp. cummidelens (Maldonado et al. 2001) Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10753.20241212.9.2
title: Nocardia africana Hamid et al. 2001 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10757.20241212.9.2
title: Nocardia veterana Gürtler et al. 2001 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10758.20241212.9.2
title: Nocardia veterana Gürtler et al. 2001 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10759.20241212.9.2
title: Nocardia veterana Gürtler et al. 2001 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10760.20241212.9.2
title: Nocardia veterana Gürtler et al. 2001 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.