cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14880416
title: RoCliHom - Long-term homogenized air temperature and precipitation datasets in Romania, 1901 - 2023

description: The RoClimHom database encompasses temporally aggregated instrumental observations of diurnal temperature parameters, including mean (Tavg), maximum (Tmax), and minimum (Tmin) air temperatures measured at 2 meters above ground level (T2m), as well as precipitation accumulation (PREC). The dataset integrates meteorological records from a network of 156 monitoring stations, with temporal coverage extending from 1901 to 2023.

This dataset addresses historical inconsistencies in climate records caused by changes in measurement techniques, station relocations, and operational practices. The homogenization process included data preprocessing, quality control, and breakpoint detection to eliminate non-climatic biases, ensuring a robust and reliable dataset.

RoClimHom overcomes potential biases in temperature and precipitation measurements, offering a gap-free record for analyzing long-term climate variability and trends in Romania. Preliminary trend analyses indicate more consistent climate change signals across the country.

The dataset is distributed in long-format CSV files, comprising roclihom_meta_1901_2023.csv for metadata and roclihom_data_1901_2023.csv for observational records.

roclihom_data_1901_2023.csv is structured in a way that each row contains the relevant variables —tavg (average air temperature- °C), tmax (maximum air temperature - °C), tmin (minimum air temperature - °C), and prec (precipitation - mm) — along with corresponding flag columns. These flags indicate the status of the data as follows: 0 for original values, 1 for only gap-filled data, and 2 for corrected (homogenized) values. Additionally, the dataset includes station identifier (id) and temporal information.

roclihom_meta_1901_2023.csv contains details for each station, including station ids, geographical coordinates (in decimal degrees for both longitude and latitude), altitude (in meters), and station names.

 

Data in action can be seen here: https://alexdum-roclihom.hf.space — an interactive platform showcasing key insights derived from the RoClimHom dataset, including spatial patterns, trend visualizations, and other exploratory tools that support climate research.
DOI: 10.5281/zenodo.14880417
title: RoCliHom - Long-term homogenized air temperature and precipitation datasets in Romania, 1901 - 2023

description: The RoClimHom database encompasses temporally aggregated instrumental observations of diurnal temperature parameters, including mean (Tavg), maximum (Tmax), and minimum (Tmin) air temperatures measured at 2 meters above ground level (T2m), as well as precipitation accumulation (PREC). The dataset integrates meteorological records from a network of 156 monitoring stations, with temporal coverage extending from 1901 to 2023.

This dataset addresses historical inconsistencies in climate records caused by changes in measurement techniques, station relocations, and operational practices. The homogenization process included data preprocessing, quality control, and breakpoint detection to eliminate non-climatic biases, ensuring a robust and reliable dataset.

RoClimHom overcomes potential biases in temperature and precipitation measurements, offering a gap-free record for analyzing long-term climate variability and trends in Romania. Preliminary trend analyses indicate more consistent climate change signals across the country.

The dataset is distributed in long-format CSV files, comprising roclihom_meta_1901_2023.csv for metadata and roclihom_data_1901_2023.csv for observational records.

roclihom_data_1901_2023.csv is structured in a way that each row contains the relevant variables —tavg (average air temperature- °C), tmax (maximum air temperature - °C), tmin (minimum air temperature - °C), and prec (precipitation - mm) — along with corresponding flag columns. These flags indicate the status of the data as follows: 0 for original values, 1 for only gap-filled data, and 2 for corrected (homogenized) values. Additionally, the dataset includes station identifier (id) and temporal information.

roclihom_meta_1901_2023.csv contains details for each station, including station ids, geographical coordinates (in decimal degrees for both longitude and latitude), altitude (in meters), and station names.

 

Data in action can be seen here: https://alexdum-roclihom.hf.space — an interactive platform showcasing key insights derived from the RoClimHom dataset, including spatial patterns, trend visualizations, and other exploratory tools that support climate research.
DOI: 10.15468/dl.75uc4q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ancient host-associated microbes obtained from mammoth remains"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000624-260129131611470/datasets/export for details.
DOI: 10.15468/dl.vxa74p
title: Occurrence Download

description: A dataset containing 39927972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC",
 "OccurrenceStatus is Present",
 "TaxonKey is Fringillidae",
 "Year 2013-2023"
 ]
}

 The dataset includes 39927972 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000602-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xt75u5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cleaveius clupei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000638-260129131611470/datasets/export for details.
DOI: 10.15468/dl.5w2ayd
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Month is January",
 "TaxonKey is Candelariella vitellina",
 "Year 1994-2025"
 ]
}

 The dataset includes 428 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000640-260129131611470/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/14667600
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.aftd5m
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.45 -4.9,-72.5 -4.9,-72.5 -3.9,-73.45 -3.9,-73.45 -4.9))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coleoptera"
 ]
}

 The dataset includes 243 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000641-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18420684
title: Replication package: Procurement Thresholds and Contract Splitting

description: Replication package. Procurement Thresholds and Contract Splitting: Evidence from Spain’s Minor Contracts. This package contains the code and materials used to produce the results in the paper. All data are drawn from Spanish public sources and are freely available online.
DOI: 10.5281/zenodo.18420683
title: Replication package: Procurement Thresholds and Contract Splitting

description: Replication package. Procurement Thresholds and Contract Splitting: Evidence from Spain’s Minor Contracts. This package contains the code and materials used to produce the results in the paper. All data are drawn from Spanish public sources and are freely available online.
DOI: 10.15468/dl.mrqmb5
title: Occurrence Download

description: A dataset containing 1038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Chile",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-72.98199 -41.48896,-72.88966 -41.48896,-72.88966 -41.43246,-72.98199 -41.43246,-72.98199 -41.48896))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1038 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000642-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18417792
title: Translational buffering tunes gene expression in mice and humans

description: Supplementary tables S1 to S16 cited in the manuscript "Translational buffering tunes gene expression in mice and humans."
DOI: 10.15468/dl.dc4hzu
title: Occurrence Download

description: A dataset containing 693 records in GBIF matching the query:
SELECT
 '606' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 66.79314043790278
 AND decimalLatitude &lt;= 72.77152049497572
 AND decimalLongitude &gt;= -86.39962160260116
 AND decimalLongitude &lt;= -62.86027460742454
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 693 records were derived from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000628-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26275/jocw-3yod
title: Quantification of nerve fiber populations in the external muscle of the human gastric corpus

description: Quantification of human gastric nerve fibers in corpus muscle tissue
description: This dataset contains images and analysis used to quantify the relative abundance and relationship between various nerve fiber types in the human corpus muscle
DOI: 10.15468/dl.3cagu9
title: Occurrence Download

description: A dataset containing 10395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia, North America)",
 "DatasetKey is one of (Norwegian Species Observation Service, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, NHMO Mammal collection, NHMD Mammalogy Collection, AMNH Mammal Collections, Canadian Museum of Nature Fossil Vertebrate Collection, NHMD Quaternary Zoology Collection, Canadian Museum of Nature Mammal Collection)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ovibos moschatus"
 ]
}

 The dataset includes 10395 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000644-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18381807
title: MEANDIR Inversion Results for Hydrologic and Landscape Controls on Rock Weathering Along a Glacial Gradient in South Central Alaska, USA

description: These datafiles contain inverse geochemical mixing model results from Hydrologic and Landscape Controls on Rock Weathering Along a Glacial Gradient in South Central Alaska, USA https://doi.org/10.1029/2023JF007255. The files consist of a summary file FXiso.csv and FXmajor.csv which have the sample id, date sampled, and umol concentrations of major elements as well as the median fractional contribution and 25th and 75th percentile from each endmember for 179 samples in the isotopic and major inversion, respectively. The matlab files iso_all.mat and Majors_all.mat consist of n 5x200x179 matrices where each of the n matrices contain results for the fractional contribution of each of the 5 endmembers [1:precipitation, 2:pyrite, 3:carbonate, 4:silicate, 5:clay] to the n elements utilized in the inversion. The 200 inversion results are in the same order and follow the same index as the 179 samples in the summary files. For example, once loaded in matlab the command: data.Na(1,:,2) would show precipitation(index 1) endmember 200 inversion results(index : ) for the second sample 'kbgws-070319' (index 2). If brought into python note that the indexing starts at 0 not 1.
DOI: 10.5281/zenodo.18381806
title: MEANDIR Inversion Results for Hydrologic and Landscape Controls on Rock Weathering Along a Glacial Gradient in South Central Alaska, USA

description: These datafiles contain inverse geochemical mixing model results from Hydrologic and Landscape Controls on Rock Weathering Along a Glacial Gradient in South Central Alaska, USA https://doi.org/10.1029/2023JF007255. The files consist of a summary file FXiso.csv and FXmajor.csv which have the sample id, date sampled, and umol concentrations of major elements as well as the median fractional contribution and 25th and 75th percentile from each endmember for 179 samples in the isotopic and major inversion, respectively. The matlab files iso_all.mat and Majors_all.mat consist of n 5x200x179 matrices where each of the n matrices contain results for the fractional contribution of each of the 5 endmembers [1:precipitation, 2:pyrite, 3:carbonate, 4:silicate, 5:clay] to the n elements utilized in the inversion. The 200 inversion results are in the same order and follow the same index as the 179 samples in the summary files. For example, once loaded in matlab the command: data.Na(1,:,2) would show precipitation(index 1) endmember 200 inversion results(index : ) for the second sample 'kbgws-070319' (index 2). If brought into python note that the indexing starts at 0 not 1.
DOI: 10.15468/dl.2d286y
title: Occurrence Download

description: A dataset containing 151347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryobates minor",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Sweden",
 "DatasetKey is Artportalen",
 {
 "or" : [
 "Month is March",
 "Month is April",
 "Month is May"
 ]
 }
 ]
}

 The dataset includes 151347 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000634-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15538412
title: Nitric oxide enhances secondary aerosol precursor formation from aromatic carbonyls

description: Output files (.log and .out), an example MESMER input file (.xml), Excel files (.xlsx) with results from mass spectrometry and volatility models, a Word file (.docx) with predicted molecular structures, and Kinetiscope (.rxn) files – one with kinetic simulation input parameters for a laboratory experimental condition, another with the parameters for an ambient atmospheric condition that support the findings of the manuscript, "Nitric oxide enhances secondary aerosol precursor formation from aromatic carbonyls"
DOI: 10.5281/zenodo.18420667
title: Nitric oxide enhances secondary aerosol precursor formation from aromatic carbonyls

description: Output files (.log and .out), an example MESMER input file (.xml), Excel files (.xlsx) with results from mass spectrometry and volatility models, a Word file (.docx) with predicted molecular structures, and Kinetiscope (.rxn) files – one with kinetic simulation input parameters for a laboratory experimental condition, another with the parameters for an ambient atmospheric condition that support the findings of the manuscript, "Nitric oxide enhances secondary aerosol precursor formation from aromatic carbonyls"
DOI: 10.15468/dl.fr2w8q
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.74403 19.88773,-103.41829 19.88773,-103.41829 20.43665,-103.74403 20.43665,-103.74403 19.88773))",
 "HasGeospatialIssue is false",
 "TaxonKey is Leucophaeus pipixcan"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000645-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18420809
title: Conjunto de datos de evaluación documental NOMADS

description: Descripción / Resumen (Abstract)

Este conjunto de datos (dataset) contiene las métricas, rúbricas y resultados comparativos de la evaluación del documental educativo "NOMADS" (sobre migraciones y derechos humanos), desarrollado en el marco del proyecto Erasmus+ HUMREV.

El estudio documenta la aplicación de técnicas de Prompt Engineering para la evaluación automática de productos audiovisuales educativos, contrastando el juicio de un experto humano (Catedrático) con evaluaciones generadas por Inteligencia Artificial (ChatGPT 4.0) simulando diferentes roles de expertos (Narrativa, Documental, Producción y Transmedia).

El dataset incluye:





Matrices de Indicadores Clave (KPIs): Desglose detallado de puntuaciones (escala 0-1) y criterios cualitativos aplicados en cuatro dimensiones:





KDIs: Indicadores de Diseño (ej. Concienciación sobre DDHH, Inclusión).




KLIs: Indicadores de Aprendizaje (ej. Pensamiento Crítico, Empatía).




KAVIs: Indicadores de Calidad Audiovisual (ej. Guion, Edición).




KTIs: Indicadores de Producción Transmedia (ej. Interactividad).






Análisis de Variabilidad: Datos comparativos que muestran la desviación o convergencia entre la evaluación humana y las evaluaciones sintéticas de la IA.




Evidencias de Prompt Engineering: Resultados derivados de la interacción con el modelo de lenguaje para la validación del instrumento de evaluación.



Estos datos sirven como soporte empírico para la investigación sobre el uso de IAG en la validación de recursos educativos y acompañan a la publicación científica citada en la bibliografía.

Palabras Clave (Keywords)

Inteligencia Artificial, Prompt Engineering, Evaluación Educativa, Documental, Derechos Humanos, Erasmus+, HUMREV, KPIs, ChatGPT, Tecnología Educativa.

Notas Adicionales / Referencia Cruzada

Este dataset complementa el artículo de investigación: Suárez-Martínez, J. M., Roselló, R. A., & Nieto-González, R. (2025). Evaluación de documental educativo con IAG utilizando prompt engineering. Comunicar, 33(82), 90-102.

Detalles del Proyecto (Grants)





Programa: Erasmus+ de la Unión Europea.




Acronym: HUMREV.




Contexto: IES Cabo de la Huerta.
DOI: 10.5281/zenodo.18420810
title: Conjunto de datos de evaluación documental NOMADS

description: Descripción / Resumen (Abstract)

Este conjunto de datos (dataset) contiene las métricas, rúbricas y resultados comparativos de la evaluación del documental educativo "NOMADS" (sobre migraciones y derechos humanos), desarrollado en el marco del proyecto Erasmus+ HUMREV.

El estudio documenta la aplicación de técnicas de Prompt Engineering para la evaluación automática de productos audiovisuales educativos, contrastando el juicio de un experto humano (Catedrático) con evaluaciones generadas por Inteligencia Artificial (ChatGPT 4.0) simulando diferentes roles de expertos (Narrativa, Documental, Producción y Transmedia).

El dataset incluye:





Matrices de Indicadores Clave (KPIs): Desglose detallado de puntuaciones (escala 0-1) y criterios cualitativos aplicados en cuatro dimensiones:





KDIs: Indicadores de Diseño (ej. Concienciación sobre DDHH, Inclusión).




KLIs: Indicadores de Aprendizaje (ej. Pensamiento Crítico, Empatía).




KAVIs: Indicadores de Calidad Audiovisual (ej. Guion, Edición).




KTIs: Indicadores de Producción Transmedia (ej. Interactividad).






Análisis de Variabilidad: Datos comparativos que muestran la desviación o convergencia entre la evaluación humana y las evaluaciones sintéticas de la IA.




Evidencias de Prompt Engineering: Resultados derivados de la interacción con el modelo de lenguaje para la validación del instrumento de evaluación.



Estos datos sirven como soporte empírico para la investigación sobre el uso de IAG en la validación de recursos educativos y acompañan a la publicación científica citada en la bibliografía.

Palabras Clave (Keywords)

Inteligencia Artificial, Prompt Engineering, Evaluación Educativa, Documental, Derechos Humanos, Erasmus+, HUMREV, KPIs, ChatGPT, Tecnología Educativa.

Notas Adicionales / Referencia Cruzada

Este dataset complementa el artículo de investigación: Suárez-Martínez, J. M., Roselló, R. A., & Nieto-González, R. (2025). Evaluación de documental educativo con IAG utilizando prompt engineering. Comunicar, 33(82), 90-102.

Detalles del Proyecto (Grants)





Programa: Erasmus+ de la Unión Europea.




Acronym: HUMREV.




Contexto: IES Cabo de la Huerta.
DOI: 10.15468/dd.q4neqr
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.15468/dl.axugec
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osmia malina"
 ]
}

 The dataset includes 296 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000646-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ue4bf7
title: Occurrence Download

description: A dataset containing 132147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lithobates catesbeianus, Xenopus laevis)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 5000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 132147 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000561-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kbsah
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schinus molle",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025819-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.