cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18260627
title: Oral History Interview - Manuel Gallego Alves

description: In this in-depth interview, Manuel Gallego Alves reflects on his personal and professional relationship with the territory of Santa Mariña de Augas Santas. He discusses heritage management through cooperative work, the emotional and symbolic bonds between landscape, ritual, and memory, and the endurance of oral tradition surrounding Santa Mariña. The interview highlights the integration of archaeology, devotion, landscape features such as water, stone, and forest, and contemporary challenges including rural depopulation, tourism, and heritage sustainability.
DOI: 10.5281/zenodo.18247641
title: Oral History Interview - José Elias González

description: This interview documents the lived religious experience, personal memory, and community engagement of José Elias González, a lifelong resident connected to Santa Mariña de Augas Santas. Through autobiographical narrative, the interview explores childhood religiosity, family transmission of faith, devotion to Santa Mariña, and the embodied relationship between sacred sites (the church, the ovens, springs, and the “Santa de Pedra”) and local identity.

Particular attention is given to ritual continuity, the role of collective theatre reenactments of the saint’s martyrdom, intergenerational memory, healing narratives associated with water, and the emotional impact of loss and community change. The testimony provides valuable insight into how ancient cultic traditions are sustained, reinterpreted, and lived in contemporary rural Galicia.
DOI: 10.5281/zenodo.18247642
title: Oral History Interview - José Elias González

description: This interview documents the lived religious experience, personal memory, and community engagement of José Elias González, a lifelong resident connected to Santa Mariña de Augas Santas. Through autobiographical narrative, the interview explores childhood religiosity, family transmission of faith, devotion to Santa Mariña, and the embodied relationship between sacred sites (the church, the ovens, springs, and the “Santa de Pedra”) and local identity.

Particular attention is given to ritual continuity, the role of collective theatre reenactments of the saint’s martyrdom, intergenerational memory, healing narratives associated with water, and the emotional impact of loss and community change. The testimony provides valuable insight into how ancient cultic traditions are sustained, reinterpreted, and lived in contemporary rural Galicia.
DOI: 10.5281/zenodo.18260743
title: SuperDARN data in netCDF format (1994-Oct)

description: 1994-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6833003
title: SuperDARN data in netCDF format (1994-Oct)

description: 1994-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.2sc8j7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scardinius erythrophthalmus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1890",
 "Year is less than or equal to 1894"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012393-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbmtgz
title: Occurrence Download

description: A dataset containing 20972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation",
 "TaxonKey is one of (Odocoileus virginianus, Peromyscus leucopus, Peromyscus maniculatus, Ixodes scapularis)",
 "Geometry POLYGON ((-70.77998200260024 47.073845468308974, -82.4440049417868 45.268983141284224, -83.27236307484827 41.91555052968337, -78.76305285986882 42.76217961535124, -74.87245816972946 44.974157001391774, -71.53623351125492 44.94798620574858, -70.44562626500732 45.148881783087035, -69.94333491548616 46.68352262690237, -70.77998200260024 47.073845468308974))"
 ]
}

 The dataset includes 20972 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012392-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18248742
title: COVID-19 Origins: A Mixed-Methods Meta-Analysis of Scientific Consensus and Political Narratives

description: This dataset contains the extracted and synthesized data used to support the findings of the study titled “COVID-19 Origins: A Mixed-Methods Meta-Analysis of Scientific Consensus and Political Narratives.”

The dataset comprises structured information derived from peer-reviewed scientific publications, publicly available epidemiological reports, policy documents, and media sources analyzed during the study period. Variables include study identifiers, source type, thematic classifications, methodological attributes, and summary indicators used in the quantitative and qualitative analyses.

All data are secondary, aggregated, and anonymized. No individual-level personal or clinical information is included. The dataset is provided to enhance transparency, reproducibility, and further research on COVID-19 origin discourse and scientific consensus formation.
DOI: 10.5281/zenodo.18248741
title: COVID-19 Origins: A Mixed-Methods Meta-Analysis of Scientific Consensus and Political Narratives

description: This dataset contains the extracted and synthesized data used to support the findings of the study titled “COVID-19 Origins: A Mixed-Methods Meta-Analysis of Scientific Consensus and Political Narratives.”

The dataset comprises structured information derived from peer-reviewed scientific publications, publicly available epidemiological reports, policy documents, and media sources analyzed during the study period. Variables include study identifiers, source type, thematic classifications, methodological attributes, and summary indicators used in the quantitative and qualitative analyses.

All data are secondary, aggregated, and anonymized. No individual-level personal or clinical information is included. The dataset is provided to enhance transparency, reproducibility, and further research on COVID-19 origin discourse and scientific consensus formation.
DOI: 10.15468/dl.uqw5dj
title: Occurrence Download

description: A dataset containing 1215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Country is United States of America",
 "StateProvince is California",
 "Year is 2011",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 1215 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012394-260108223611665/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/14510315
title: Biology Benchmark Dataset
DOI: 10.5281/zenodo.18257211
title: Datasets for "Turbulent dynamos in a collapsing cloud"

description: Here we provide the hdf5 datasets generated using DEDALUS simulations for the work titled 'Turbulent dynamos in a collapsing cloud" by Muhammed Irshad P, Pallavi Bhat, Kandaswamy Subramanian and Anvar Shukurov. The urms and Brms in the profs.h5 file can be used to reproduce all the plots given in the paper.
DOI: 10.5281/zenodo.18257212
title: Datasets for "Turbulent dynamos in a collapsing cloud"

description: Here we provide the hdf5 datasets generated using DEDALUS simulations for the work titled 'Turbulent dynamos in a collapsing cloud" by Muhammed Irshad P, Pallavi Bhat, Kandaswamy Subramanian and Anvar Shukurov. The urms and Brms in the profs.h5 file can be used to reproduce all the plots given in the paper.
DOI: 10.25387/g3.30988111
title: Supplemental Material for Bahmani et al., 2025

description: Identification of quantitative trait loci underlying steviol glycoside production in <i>Stevia rebaudiana</i>
DOI: 10.25387/g3.30988111.v1
title: Supplemental Material for Bahmani et al., 2025

description: Identification of quantitative trait loci underlying steviol glycoside production in <i>Stevia rebaudiana</i>
DOI: 10.15468/dl.7mrqcc
title: Occurrence Download

description: A dataset containing 7143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calystegia pellita"
 ]
}

 The dataset includes 7143 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012396-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18260869
title: Socio Technical Systems Engineering- Progress report

description: A clean, professional draft of your progress to date. This is written as a training note / curriculum log, not a diary.
DOI: 10.5281/zenodo.18260870
title: Socio Technical Systems Engineering- Progress report

description: A clean, professional draft of your progress to date. This is written as a training note / curriculum log, not a diary.
DOI: 10.15468/dl.6amrc5
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton lachnostephanus"
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012397-260108223611665/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/14510226
title: MEDA: Mars Weather and Atmosphere Sensor Data
DOI: 10.15468/dl.j4cqb9
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scardinius erythrophthalmus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1895",
 "Year is less than or equal to 1899"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012400-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18260816
title: Mülheim /R., Apotheken (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.18260815
title: Mülheim /R., Apotheken (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.18260428
title: Documentação e Base de dados do evento extremo de precipitação de neve ocorrido no sul do Brasil em Agosto de 1965

description: Documentação feita manualmente com base em agrupamento de dados resgatados por mídia principalmente jornalística de época e em memória do evento.Base de dados produzido à partir da documentação constando apenas as cidades que possuem comprovação (sítio digital) dos dias de precipitação de neve.
DOI: 10.15468/dl.9bqsmq
title: Occurrence Download

description: A dataset containing 1002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Country is United States of America",
 "StateProvince is California",
 "Year is 2010",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 1002 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012402-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18260427
title: Documentação e Base de dados do evento extremo de precipitação de neve ocorrido no sul do Brasil em Agosto de 1965

description: Documentação feita manualmente com base em agrupamento de dados resgatados por mídia principalmente jornalística de época e em memória do evento.Base de dados produzido à partir da documentação constando apenas as cidades que possuem comprovação (sítio digital) dos dias de precipitação de neve.
DOI: 10.15468/dl.4zbbte
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cicer oxyodon"
 ]
}

 The dataset includes 53 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012401-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4xdqr
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scardinius erythrophthalmus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 1904"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012404-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fm8dp2
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scotozous dormeri"
 ]
}

 The dataset includes 102 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012403-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn2hwh
title: Occurrence Download

description: A dataset containing 1221327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1975-2026"
 ]
}

 The dataset includes 1221327 records from 640 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012358-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/8vlxl5
title: Base de dados Sentinel-1/Sentinel-2 com máscaras de referência e previsões de modelos de redes neurais para classificação de cafeeiculturas

description: Os dados utilizados neste trabalho são provenientes dos satélites Sentinel-1 e Sentinel-2, integrantes do programa Copernicus da Agência Espacial Europeia (ESA), amplamente empregados em estudos de monitoramento agrícola. A área de estudo corresponde ao município de Machado, localizado na mesorregião do Sul de Minas Gerais, Brasil, região de destaque na produção de café. Foram utilizadas imagens multiespectrais do Sentinel-2, abrangendo bandas do espectro visível e infravermelho, bem como dados SAR do Sentinel-1, que opera na banda C com polarizações VV e VH, fornecendo informações complementares sobre a vegetação e a superfície do terreno. As imagens passaram por etapas de pré-processamento que incluíram recorte da área de interesse, alinhamento espacial entre os sensores, normalização dos valores espectrais e divisão em patches de 256×256 pixels com sobreposição. Após esse processo, cada amostra foi organizada como uma imagem multicanal resultante da fusão dos dados dos dois sensores, totalizando 14 bandas de entrada, enquanto as máscaras de referência representam uma classificação binária entre áreas de cafeicultura e não cafeicultura, utilizadas no treinamento e validação de uma rede neural do tipo U-Net para segmentação semântica. Por fim, as previsões geradas pelo modelo treinado foram incorporadas ao conjunto de dados, passando a integrar o dataset como camadas adicionais para análises posteriores e reutilização em estudos futuros.
DOI: 10.6084/m9.figshare.31068181
title: Supplementary data: "Water sources and geological evolution of Jezero Crater drainage system"

description: Supplementary data is provided in the “AscSilva_etal_26_sup_data.zip” file. It contains a folder (“ortho_dtm”) with the DTM and ortho-image and a folder with the mapped features discussed in this work (“SHP”). The README.pdf document contains detailed information of the provided shapefiles. A QGIS project is included, overlaying the mapping outputs on the CTX mosaics and DTM we used.
DOI: 10.6084/m9.figshare.31068181.v2
title: Supplementary data: "Water sources and geological evolution of Jezero Crater drainage system"

description: Supplementary data is provided in the “AscSilva_etal_26_sup_data.zip” file. It contains a folder (“ortho_dtm”) with the DTM and ortho-image and a folder with the mapped features discussed in this work (“SHP”). The README.pdf document contains detailed information of the provided shapefiles. A QGIS project is included, overlaying the mapping outputs on the CTX mosaics and DTM we used.
DOI: 10.6084/m9.figshare.31068181.v1
title: Supplementary data: "Water sources and geological evolution of Jezero Crater drainage system"

description: Supplementary data is provided in the “AscSilva_etal_26_sup_data.zip” file. It contains a folder (“ortho_dtm”) with the DTM and ortho-image and a folder with the mapped features discussed in this work (“SHP”). The README.pdf document contains detailed information of the provided shapefiles. A QGIS project is included, overlaying the mapping outputs on the CTX mosaics and DTM we used.
DOI: 10.15468/dl.wjwud4
title: Occurrence Download

description: A dataset containing 1155109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1976-2026"
 ]
}

 The dataset includes 1155109 records from 640 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012340-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/mta7yd
title: Vegetación de los remanentes de bosque andino, municipio de San Francisco (Cundinamarca)

description: La disminución de la diversidad en Colombia sobre los bosques andinos se ha generado por la presión antrópica a la que se someten día a día. El aumento de la frontera agrícola, el pastoreo, las quemas, la deforestación, expansión de las zonas urbanas y la minería son los mayores problemas que afectan al país (Patiño et al., 2015). Herramientas para contrarrestar la perdida de diversidad son los estudios florísticos en bosques poco explorados e intervenidos (Chiarucci y Bonini, 2005), para allí crear zonas de conservación (Valencia et al., 2008). 
El en municipio de San Francisco perteneciente al departamento de Cundinamarca (Colombia), se identificó un corredor de conectividad de 21 kilómetros ramificado hacia los Parques Nacionales Naturales de Chingaza, Sumapaz, el Santuario de Fauna y Flora de Iguaque y sus distritos de manejo integrado (DMI) (IAvH, 2017). En este corredor ubicado en el sector oriental del municipio, se realizó la caracterización de tres remanentes de bosque andino con un esfuerzo de muestreo de 0.1 ha (10 transectos de 50 x 2 m) para cada localidad (3 en total), y en donde se censaron 974 individuos con DAP &gt; 2,5 cm, de estos se tomo muestras de 271 individuos para su identificación y homologación. En total se identificaron 126 especies distribuidas en 88 géneros y 51 familias botánicas. También se realizaron colectas libres a individuos fértiles, los cuales no cumplían con el valor del DAP o que se encontraban por fuera de los transectos, esto como complemento del muestreo.