cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18267770
title: DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes

description: Social media imagery provides a low-latency source of situational information during natural and human-induced disasters, supporting rapid damage assessment and response. While Visual Question Answering (VQA) has made significant progress in general-purpose domains, its application to the complex, domain-specific reasoning required for disaster response remains largely unexplored. To bridge this gap, we introduce DisasterVQA, a novel benchmark and evaluation dataset tailored to perception and reasoning tasks in crisis contexts. The dataset comprises 1,395 real-world images and 4,405 expert-curated image-question-answer triplets spanning diverse events, including floods, wildfires, and earthquakes. Grounded in established humanitarian frameworks such as FEMA ESF and OCHA MIRA, DisasterVQA includes binary, multiple-choice, and open-ended questions covering situational awareness and actionable response tasks, built environment damage, population exposure, accessibility, and movement restrictions. We benchmark seven state-of-the-art vision-language models, achieving accuracies of 0.86-0.91 on yes/no questions, 0.70-0.83 on open-ended questions, and F1-scores of 0.74-0.85 on multiple-choice questions. Despite promising results, the observed performance gaps, especially in open-ended and multiple-choice reasoning, highlight limitations of current models in disaster settings. DisasterVQA provides a challenging and practical benchmark to guide the development of more robust and operationally meaningful vision-language models for disaster response.
DOI: 10.5281/zenodo.17737291
title: Dataset for: Linking In-Canopy Chemistry to Above-Canopy O3, BVOCs, and NOx Gas Fluxes in the Amazon Rainforest

description: This directory contains the outputs from FORCAsT v2 simulations of the ATTO site in November 2013 and November 2015 (zip files). To run the model from scratch, visit https://github.com/flossie-brown/FORCAsT_ATTO where the model and input files can be downloaded. 

In addition, this directory contains scripts and additional data needed to reproduce the figures from the manuscript in Jupyter.
DOI: 10.5281/zenodo.17737292
title: Dataset for: Linking In-Canopy Chemistry to Above-Canopy O3, BVOCs, and NOx Gas Fluxes in the Amazon Rainforest

description: This directory contains the outputs from FORCAsT v2 simulations of the ATTO site in November 2013 and November 2015 (zip files). To run the model from scratch, visit https://github.com/flossie-brown/FORCAsT_ATTO where the model and input files can be downloaded. 

In addition, this directory contains scripts and additional data needed to reproduce the figures from the manuscript in Jupyter.
DOI: 10.15468/dl.q88hbr
title: Occurrence Download

description: A dataset containing 3171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Artemisia vulgaris, Artemisia vulgaris, Artemisia vulgaris, Artemisia vulgaris, Artemisia vulgaris)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 3171 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013967-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xskzpc
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013970-260108223611665/datasets/export for details.
DOI: 10.15468/dl.dg7aue
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013971-260108223611665/datasets/export for details.
DOI: 10.15468/dl.asv67d
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013969-260108223611665/datasets/export for details.
DOI: 10.15468/dl.b343sw
title: Occurrence Download

description: A dataset containing 27721 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "Country is one of (El Salvador)"
 ]
}

 The dataset includes 27721 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013968-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31078495
title: TikTok como método de enseñanza y aprendizaje para estudiantes de enfermería

description: Este repositorio contiene el conjunto de datos anonimizado (por ejemplo, SPSS .sav) utilizado en el artículo TikTok como método de enseñanza y aprendizaje para estudiantes de enfermería: Un estudio cuasi-experimental (Nurse Education Today, 2024), DOI: 10.1016/j.nedt.2024.106328.El estudio evalúa la eficacia de un programa educativo multimodal basado en el modelo de aprendizaje experiencial de Kolb, impartido a través de TikTok, para mejorar el conocimiento teórico-práctico de los estudiantes de enfermería sobre el inicio de la diabetes (inicio de diabetes tipo 1) y los calendarios de vacunación infantil/adolescente, así como la satisfacción de los estudiantes con la intervención.Diseño del estudio, entorno y participantes: Se utilizó un diseño cuasi-experimental de grupo único pretest–posttest en la Facultad de Enfermería de la Universidad de Cádiz (España) durante el primer semestre del curso académico 2022/2023. Los participantes fueron 74 estudiantes de enfermería de tercer año matriculados en la asignatura de Enfermería Infantil y Adolescente.<b>Intervención y recogida de datos:</b> La intervención consistió en 12 horas de formación durante 3 semanas (dos sesiones de 2 horas por semana). Las sesiones combinaban instrucción teórica y estudios de caso escritos. En la sesión final, los estudiantes formaron 19 pequeños grupos y resolvieron casos prácticos mediante juegos de rol y produciendo un vídeo de TikTok para presentar su simulación.<b>El conjunto de datos incluye:</b>Variables sociodemográficas (por ejemplo, edad, sexo, estado civil, nivel educativo, ocupación).Se administró un cuestionario individual de conocimiento (12 ítems; puntuación 0–12) antes y después de la intervención (pretest/posttest).Un cuestionario de rúbricas para evaluar simulaciones grupales en TikTok (12 ítems binarios; puntuación de 0–12).Valoración de la satisfacción/innovación educativa.<b>Análisis estadístico</b>Las diferencias pretest vs. posttest se analizaron usando la prueba de rango firmado de Wilcoxon, mostrando una mejora significativa (z = 6,843, p &lt; 0,001). Los resultados reportados incluyen una puntuación media de conocimiento postexamen de 9,93 (DE 1,65) y una puntuación media de rúbrica de 10,42 (DE 1,42). La satisfacción fue alta (82,9% muy satisfecho) y la mayoría de los estudiantes (97,1%) informó que la innovación facilitó el aprendizaje.<b>Consideraciones éticas y legales</b>El estudio utilizó un diseño de un solo grupo; El artículo señala preocupaciones éticas sobre la retención de formación a un grupo de control como razón que puede limitar diseños alternativos.
DOI: 10.6084/m9.figshare.31078495.v1
title: TikTok como método de enseñanza y aprendizaje para estudiantes de enfermería

description: Este repositorio contiene el conjunto de datos anonimizado (por ejemplo, SPSS .sav) utilizado en el artículo TikTok como método de enseñanza y aprendizaje para estudiantes de enfermería: Un estudio cuasi-experimental (Nurse Education Today, 2024), DOI: 10.1016/j.nedt.2024.106328.El estudio evalúa la eficacia de un programa educativo multimodal basado en el modelo de aprendizaje experiencial de Kolb, impartido a través de TikTok, para mejorar el conocimiento teórico-práctico de los estudiantes de enfermería sobre el inicio de la diabetes (inicio de diabetes tipo 1) y los calendarios de vacunación infantil/adolescente, así como la satisfacción de los estudiantes con la intervención.Diseño del estudio, entorno y participantes: Se utilizó un diseño cuasi-experimental de grupo único pretest–posttest en la Facultad de Enfermería de la Universidad de Cádiz (España) durante el primer semestre del curso académico 2022/2023. Los participantes fueron 74 estudiantes de enfermería de tercer año matriculados en la asignatura de Enfermería Infantil y Adolescente.<b>Intervención y recogida de datos:</b> La intervención consistió en 12 horas de formación durante 3 semanas (dos sesiones de 2 horas por semana). Las sesiones combinaban instrucción teórica y estudios de caso escritos. En la sesión final, los estudiantes formaron 19 pequeños grupos y resolvieron casos prácticos mediante juegos de rol y produciendo un vídeo de TikTok para presentar su simulación.<b>El conjunto de datos incluye:</b>Variables sociodemográficas (por ejemplo, edad, sexo, estado civil, nivel educativo, ocupación).Se administró un cuestionario individual de conocimiento (12 ítems; puntuación 0–12) antes y después de la intervención (pretest/posttest).Un cuestionario de rúbricas para evaluar simulaciones grupales en TikTok (12 ítems binarios; puntuación de 0–12).Valoración de la satisfacción/innovación educativa.<b>Análisis estadístico</b>Las diferencias pretest vs. posttest se analizaron usando la prueba de rango firmado de Wilcoxon, mostrando una mejora significativa (z = 6,843, p &lt; 0,001). Los resultados reportados incluyen una puntuación media de conocimiento postexamen de 9,93 (DE 1,65) y una puntuación media de rúbrica de 10,42 (DE 1,42). La satisfacción fue alta (82,9% muy satisfecho) y la mayoría de los estudiantes (97,1%) informó que la innovación facilitó el aprendizaje.<b>Consideraciones éticas y legales</b>El estudio utilizó un diseño de un solo grupo; El artículo señala preocupaciones éticas sobre la retención de formación a un grupo de control como razón que puede limitar diseños alternativos.
DOI: 10.34740/kaggle/dsv/14516997
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.wwqbnu
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cardaria draba)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013972-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18222001
title: The MHV-68 nuclear egress complex supports C-capsid selective capsid egress

description: This repository contains the raw data supporting the manuscript “The MHV-68 nuclear egress complex supports C-capsid selective capsid egress.” (DOI: 10.5281/zenodo.18222001)

It extends the original dataset deposited for the bioRxiv preprint “The nuclear egress complex of MHV-68 is not essential for nuclear egress but mediates C-capsid specificity” (DOI: 10.1101/2025.04.10.648238), preserving all previously released data for full traceability.

Included are primary imaging data (electron and light microscopy), sequencing data (Sanger and NGS), BAC digest files, and structural predictions corresponding to main and supplementary figures.

Newly added data in this version include:





MHV_EM_2.zip (additional EM datasets)




MHV_Plaque_Size_2.zip (additional light microscopy plaque size data)
DOI: 10.5281/zenodo.15147694
title: The MHV-68 nuclear egress complex supports C-capsid selective capsid egress

description: This repository contains the raw data supporting the manuscript “The MHV-68 nuclear egress complex supports C-capsid selective capsid egress.” (DOI: 10.5281/zenodo.18222001)

It extends the original dataset deposited for the bioRxiv preprint “The nuclear egress complex of MHV-68 is not essential for nuclear egress but mediates C-capsid specificity” (DOI: 10.1101/2025.04.10.648238), preserving all previously released data for full traceability.

Included are primary imaging data (electron and light microscopy), sequencing data (Sanger and NGS), BAC digest files, and structural predictions corresponding to main and supplementary figures.

Newly added data in this version include:





MHV_EM_2.zip (additional EM datasets)




MHV_Plaque_Size_2.zip (additional light microscopy plaque size data)
DOI: 10.15468/dl.uuhdvn
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens glandulifera",
 "Country is Hungary",
 "HasCoordinate is true"
 ]
}

 The dataset includes 185 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013976-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6p5bc
title: Occurrence Download

description: A dataset containing 771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centaurium erythraea, Centaurium erythraea)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 771 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013977-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnav82
title: Occurrence Download

description: A dataset containing 941 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum japonicum"
 ]
}

 The dataset includes 941 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013978-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5g5eh9
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum jucundum"
 ]
}

 The dataset includes 56 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013979-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eg3f4m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Kappaphycus alvarezii",
 "HasCoordinate is true",
 "Geometry POLYGON ((55 5, 75 5, 75 26, 55 26, 55 5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013980-260108223611665/datasets/export for details.
DOI: 10.15468/dl.636tvj
title: Occurrence Download

description: A dataset containing 3628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens glandulifera",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3628 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013981-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17931797
title: Anti-Establishment Grading of Bills: Italy and Czech Republic (2017-2022)

description: The dataset contains data on the holistic grading of anti-establishment salience for all bills introduced to the Italian Parliament (2018-2022) and the Czech Parliament (2017-2021). 

To assess how political parties contest constitutional identity through legislation, each bill in the dataset was assigned a grade on an ordinal, holistic scale of 0/1/2. This scale captures the degree to which a bill challenges or remains neutral toward the constitutional identity of the respective system. Legislative anti‑establishment behaviour consists of bills that modify a constitutional identity element (ConIDel) (grade 1) or infringe/repeal its material core (grade 2). Bills that either do not challenge the ConIDel or that touch only technicalities receive grade 0. 

Anchor texts for each anti-e grade and each ConIDel are prepared for each country to ensure replicability, and can be read in the article System-Affirming Tinkerers? Anti-Establishment Parties, Constitutional Identity, and Resilience in Czechia and Italy [under review], and its appendices.
DOI: 10.5281/zenodo.17931798
title: Anti-Establishment Grading of Bills: Italy and Czech Republic (2017-2022)

description: The dataset contains data on the holistic grading of anti-establishment salience for all bills introduced to the Italian Parliament (2018-2022) and the Czech Parliament (2017-2021). 

To assess how political parties contest constitutional identity through legislation, each bill in the dataset was assigned a grade on an ordinal, holistic scale of 0/1/2. This scale captures the degree to which a bill challenges or remains neutral toward the constitutional identity of the respective system. Legislative anti‑establishment behaviour consists of bills that modify a constitutional identity element (ConIDel) (grade 1) or infringe/repeal its material core (grade 2). Bills that either do not challenge the ConIDel or that touch only technicalities receive grade 0. 

Anchor texts for each anti-e grade and each ConIDel are prepared for each country to ensure replicability, and can be read in the article System-Affirming Tinkerers? Anti-Establishment Parties, Constitutional Identity, and Resilience in Czechia and Italy [under review], and its appendices.
DOI: 10.15468/dl.dwycvm
title: Occurrence Download

description: A dataset containing 1282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens glandulifera",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1282 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013983-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20350/digitalcsic/17877
title: Data Statement: Functionalization of magnetotactic bacteria with gold Nanoprisms. A route to novel photothermal agents

description: Contact person: Domínguez-Vera, Jose M. Data collectors: Gómez, Emilio; Fernández-Afonso, Yilian; González, Ana; Cerezo Collado, Laura; Martínez de la Fuente, Jesús; Abad, Ana; G. Gubieda, Alicia; Fdez-Gubieda, Mª Luisa.
description: Data for this article, including UV-vis spectra, heating curves, ICP analysis and optical density measurements.
DOI: 10.15468/dl.tjz8vm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kappaphycus alvarezii",
 "HasCoordinate is true",
 "Geometry POLYGON ((55 5, 75 5, 75 26, 55 26, 55 5))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013987-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjrr2c
title: Occurrence Download

description: A dataset containing 4730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fagus orientalis",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 4730 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013986-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21242/22522.2023.00.00.1.1.0
title: Statistik der Pflegeerlaubnis, Pfleg-, Vormund-, Beistandschaften, Sorgerecht, Sorgeerklärungen - Teil I.6 2023, On-Site, Version 0

description: Die Kinder- und Jugendhilfe hat die Aufgabe, junge Menschen in ihrer individuellen und sozialen Entwicklung zu fördern, Benachteiligungen abzubauen sowie die Erziehungsberechtigten zu beraten und zu unterstützen. Die Daten aus den Statistiken der Kinder- und Jugendhilfe dienen daher zur Beobachtung der Entwicklung von unterstützenden und familienstabilisierenden Aktivitäten sowie des finanziellen Aufwandes der Kinder- und Jugendhilfe. Sie finden unter anderem für Planungsaufgaben und die Fortentwicklung des Jugendhilferechts Verwendung.
Das Gesamtkonzept der Kinder- und Jugendhilfestatistiken umfasst vier getrennte Erhebungsteile.
Erhoben werden in
Teil I die Daten zu verschiedenen Hilfen zur Erziehung sowie administrativen Aufgaben der Jugendämter,
Teil II die Daten zu den Maßnahmen der Jugendarbeit von öffentlichen und freien Trägern,
Teil III die Daten zur Kinderbetreuung in diversen Einrichtungen der Jugendhilfe und den dort tätigen Personen sowie zur öffentlich geförderten Kindertagespflege,
Teil IV die Ausgaben und Einnahmen für die Kinder- und Jugendhilfe.
DOI: 10.7934/p6175
title: Nycticeinops kutchensis, a new fossil bat from the Miocene of western India (project)
DOI: 10.21242/22523.2023.00.00.1.1.0
title: Statistik der vorläufigen Schutzmaßnahmen - Teil I.7 2023, On-Site, Version 0

description: Die Kinder- und Jugendhilfe hat die Aufgabe, junge Menschen in ihrer individuellen und sozialen Entwicklung zu fördern, Benachteiligungen abzubauen sowie die Erziehungsberechtigten zu beraten und zu unterstützen. Die Daten aus den Statistiken der Kinder- und Jugendhilfe dienen daher zur Beobachtung der Entwicklung von unterstützenden und familienstabilisierenden Aktivitäten sowie des finanziellen Aufwandes der Kinder- und Jugendhilfe. Sie finden unter anderem für Planungsaufgaben und die Fortentwicklung des Jugendhilferechts Verwendung.
Das Gesamtkonzept der Kinder- und Jugendhilfestatistiken umfasst vier getrennte Erhebungsteile.
Erhoben werden in
Teil I die Daten zu verschiedenen Hilfen zur Erziehung sowie administrativen Aufgaben der Jugendämter,
Teil II die Daten zu den Maßnahmen der Jugendarbeit von öffentlichen und freien Trägern,
Teil III die Daten zur Kinderbetreuung in diversen Einrichtungen der Jugendhilfe und den dort tätigen Personen sowie zur öffentlich geförderten Kindertagespflege,
Teil IV die Ausgaben und Einnahmen für die Kinder- und Jugendhilfe.