cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dr4rzm
title: Occurrence Download

description: A dataset containing 1781905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Culicidae",
 "Continent is North America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1781905 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062664-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6femv9
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cacatua alba",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 90 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062697-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7zvd3
title: Occurrence Download

description: A dataset containing 1898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "TaxonKey is Brassica juncea"
 ]
}

 The dataset includes 1898 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062694-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwy97m
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vasticardium enode",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062695-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23641/asha.29711267
title: Bilingual science and social studies vocabulary (Arizmendi et al., 2025)

description: <b>Purpose: </b>This study examines the linguistic skills that support the learning of science and social studies vocabulary words for second-grade Latino bilingual students.<b>Method: </b>We used data from a cluster randomized study where second-grade classrooms within schools were randomly assigned to the intervention group (<i>n</i> = 13) or the control group (<i>n</i> = 13), with a total of 217 bilingual Latino students. Students in the intervention group received a researcher-developed explicit vocabulary intervention focused on science and social studies word learning. The control group received business-as-usual instruction. Using confirmatory factor analysis (CFA) and structural equation modeling (SEM), we examined the association of early language skills at pretest and their relation to word learning outcomes in science and social studies, as measured by the production of definitions and sentences post-intervention.<b>Results: </b>The six language tasks assessed exhibited significant moderate correlations with one another and vocabulary outcomes, indicating a potential underlying relation. These indicator variables load into a singular latent factor when analyzed using CFA. Using SEM, the language factor (f1) significantly predicted student capacity to produce definitions and sentences. After accounting for the benefits of the intervention, these effects of f1 remained strongly associated to definitions and sentence production.<b>Conclusions: </b>Learning content vocabulary is significantly related to student language skills in Spanish and in English. This finding suggests that developing student language skills early facilitates the learning of curricular vocabulary words later. This finding has key implications for teaching and learning content vocabulary for bilingually developing students. Theoretical and practical applications for instruction of bilingual students are discussed.<b>Supplemental Material S1.</b> Model fit indices for competing measurement models in confirmatory factor analysis and standardized residuals matrix for covariances.Arizmendi, G. D., Palma, J. R., & Baker, D. L. (2025). Predicting science and social studies vocabulary learning in Spanish–English bilingual children. <i>Language, Speech, and Hearing Services in Schools, </i><i>56</i>(4), 1069–1087. https://doi.org/10.1044/2025_LSHSS-24-00045
DOI: 10.23641/asha.29711267.v1
title: Bilingual science and social studies vocabulary (Arizmendi et al., 2025)

description: <b>Purpose: </b>This study examines the linguistic skills that support the learning of science and social studies vocabulary words for second-grade Latino bilingual students.<b>Method: </b>We used data from a cluster randomized study where second-grade classrooms within schools were randomly assigned to the intervention group (<i>n</i> = 13) or the control group (<i>n</i> = 13), with a total of 217 bilingual Latino students. Students in the intervention group received a researcher-developed explicit vocabulary intervention focused on science and social studies word learning. The control group received business-as-usual instruction. Using confirmatory factor analysis (CFA) and structural equation modeling (SEM), we examined the association of early language skills at pretest and their relation to word learning outcomes in science and social studies, as measured by the production of definitions and sentences post-intervention.<b>Results: </b>The six language tasks assessed exhibited significant moderate correlations with one another and vocabulary outcomes, indicating a potential underlying relation. These indicator variables load into a singular latent factor when analyzed using CFA. Using SEM, the language factor (f1) significantly predicted student capacity to produce definitions and sentences. After accounting for the benefits of the intervention, these effects of f1 remained strongly associated to definitions and sentence production.<b>Conclusions: </b>Learning content vocabulary is significantly related to student language skills in Spanish and in English. This finding suggests that developing student language skills early facilitates the learning of curricular vocabulary words later. This finding has key implications for teaching and learning content vocabulary for bilingually developing students. Theoretical and practical applications for instruction of bilingual students are discussed.<b>Supplemental Material S1.</b> Model fit indices for competing measurement models in confirmatory factor analysis and standardized residuals matrix for covariances.Arizmendi, G. D., Palma, J. R., & Baker, D. L. (2025). Predicting science and social studies vocabulary learning in Spanish–English bilingual children. <i>Language, Speech, and Hearing Services in Schools, </i><i>56</i>(4), 1069–1087. https://doi.org/10.1044/2025_LSHSS-24-00045
DOI: 10.15468/dl.r2tyj6
title: Occurrence Download

description: A dataset containing 5328 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Agosia chrysogaster)"
 ]
}

 The dataset includes 5328 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062698-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpefae
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Functional traits related to fire in woody species from Barranca del Cupatitzio National Park"
 ]
}

 The dataset includes 182 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062700-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nagm6x
title: Occurrence Download

description: A dataset containing 43578 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Pimephales promelas)"
 ]
}

 The dataset includes 43578 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062699-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23641/asha.29637284
title: The perceived value of IPP (Till, 2025)

description: <b>Purpose: </b>When working with students with speech, language, and communication needs, classroom teachers (CLTs), special education teachers (SETs), and speech-language pathologists (SLPs) must engage in interprofessional practice (IPP). According to the expectancy-value model, IPP adoption is partially contingent on its perceived value. The objective of this study was to analyze whether and how the perceived value of IPP differs across four domains (interest, costs, benefits for the specialist, and benefits for the students) among the three professional groups and the extent to which various factors affect this perception. This study focuses on school-based professionals in the Canton of Bern, Switzerland, working under the same administrative authority and in accordance with the same guidelines.<b>Method: </b>A total of 317 staff members from mainstream schools in Bern, Switzerland (142 CLTs, 89 SETs, and 86 SLPs), completed an IPP questionnaire. Confirmatory factor analysis was used to compare the four domains of perceived values between groups, and structural equation modeling was used to assess the impact of various factors.<b>Results: </b>SETs showed the most positive perception of IPP across all domains, whereas CLTs and SLPs were less positive. Self-reported competencies in IPP positively influenced the perceived value of CLTs and SLPs; however, perceptions were more negative at the secondary school level for CLTs and SLPs.<b>Conclusion: </b>Since CLTs, SETs, and SLPs in the Canton of Bern, Switzerland, operate under the same administrative guidelines, the differences in perceived value of IPP are attributed to their distinct professional backgrounds and work environments.<b>Supplemental Material S1.</b> English translations (not validated) of the items measuring the perceived value of collaboration.<b>Supplemental Material S2.</b> Absolute numbers and percentages of answers by group on each level on the "interest" scale.<b>Supplemental Material S3. </b>Absolute numbers and percentages of answers by group on each level on the "costs" scale (inverted).<b>Supplemental Material S4.</b> Absolute numbers and percentages of answers by group on each level on the "benefits for the specialist" scale.<b>Supplemental Material S5.</b> Absolute numbers and percentages of answers by group on each level on the "benefits for the students" scale.<b>Supplemental Material S6.</b> Measurement invariance analysis and alternative model fit values of the scales "interest," "costs," "benefits for the specialist," and "benefits for the students."Till, C. (2025). The perceived value of interprofessional practice according to classroom teachers, special education teachers, and speech-language pathologists. <i>Language, Speech, and Hearing Services in Schools,</i><i> </i><i>56</i>(4), 1126–1140. https://doi.org/10.1044/2025_LSHSS-24-00154
DOI: 10.23641/asha.29637284.v1
title: The perceived value of IPP (Till, 2025)

description: <b>Purpose: </b>When working with students with speech, language, and communication needs, classroom teachers (CLTs), special education teachers (SETs), and speech-language pathologists (SLPs) must engage in interprofessional practice (IPP). According to the expectancy-value model, IPP adoption is partially contingent on its perceived value. The objective of this study was to analyze whether and how the perceived value of IPP differs across four domains (interest, costs, benefits for the specialist, and benefits for the students) among the three professional groups and the extent to which various factors affect this perception. This study focuses on school-based professionals in the Canton of Bern, Switzerland, working under the same administrative authority and in accordance with the same guidelines.<b>Method: </b>A total of 317 staff members from mainstream schools in Bern, Switzerland (142 CLTs, 89 SETs, and 86 SLPs), completed an IPP questionnaire. Confirmatory factor analysis was used to compare the four domains of perceived values between groups, and structural equation modeling was used to assess the impact of various factors.<b>Results: </b>SETs showed the most positive perception of IPP across all domains, whereas CLTs and SLPs were less positive. Self-reported competencies in IPP positively influenced the perceived value of CLTs and SLPs; however, perceptions were more negative at the secondary school level for CLTs and SLPs.<b>Conclusion: </b>Since CLTs, SETs, and SLPs in the Canton of Bern, Switzerland, operate under the same administrative guidelines, the differences in perceived value of IPP are attributed to their distinct professional backgrounds and work environments.<b>Supplemental Material S1.</b> English translations (not validated) of the items measuring the perceived value of collaboration.<b>Supplemental Material S2.</b> Absolute numbers and percentages of answers by group on each level on the "interest" scale.<b>Supplemental Material S3. </b>Absolute numbers and percentages of answers by group on each level on the "costs" scale (inverted).<b>Supplemental Material S4.</b> Absolute numbers and percentages of answers by group on each level on the "benefits for the specialist" scale.<b>Supplemental Material S5.</b> Absolute numbers and percentages of answers by group on each level on the "benefits for the students" scale.<b>Supplemental Material S6.</b> Measurement invariance analysis and alternative model fit values of the scales "interest," "costs," "benefits for the specialist," and "benefits for the students."Till, C. (2025). The perceived value of interprofessional practice according to classroom teachers, special education teachers, and speech-language pathologists. <i>Language, Speech, and Hearing Services in Schools,</i><i> </i><i>56</i>(4), 1126–1140. https://doi.org/10.1044/2025_LSHSS-24-00154
DOI: 10.34740/kaggle/dsv/13305360
title: Booru.org Top Leaderboard
DOI: 10.82144/bc0219f8
title: Tethys Research Institute aerial survey sightings 2021

description: Original provider:
Tethys Research Institute

Dataset credits:
Tethys Research Institute
DOI: 10.7910/dvn/ls5aml
title: Replication Data for: Computerization of Office Jobs

description: This is the replication package for "Computerization of Office Jobs," accepted in 2025 by the Journal of Labor Economics.
DOI: 10.15468/dl.m3zeqv
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alstroemeria spathulata"
 ]
}

 The dataset includes 45 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062704-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2abas
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Falconiformes)",
 "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((-180 -30,-150 -30,-150 0,-180 0,-180 -30))"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062701-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bssv2m
title: Occurrence Download

description: A dataset containing 409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Maldives",
 "Year is 2012",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 409 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062702-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rz97n7
title: Occurrence Download

description: A dataset containing 914 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Armoracia rusticana"
 ]
}

 The dataset includes 914 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062705-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.o3it0y
title: Occurrence Download

description: A dataset containing 20585 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Carex divulsa Stokes"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20585 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011888-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9r5zqj
title: Occurrence Download

description: A dataset containing 11883808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11883808 records from 2185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050444-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1209442.10fu
title: SH1209442.10FU

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/sh1209443.10fu
title: SH1209443.10FU

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/sh1209448.10fu
title: SH1209448.10FU

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/sh1209449.10fu
title: SH1209449.10FU

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/sh1209450.10fu
title: SH1209450.10FU

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.