cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17460787
title: Malting performance of Australian barley in response to different malting regimes

description: This dataset contains results from trials of Australian barley samples assessed for malting performance using the AEGIC Multimalter under different malting regimes. Comprehensive malt quality data were collected, including key attributes such as malt extract (EFG), Kolbach index (KI), free amino nitrogen (FAN), apparent attenuation limit (AAL), wort viscosity (WVIS), beta-glucan (BG), diastatic power (DP), malt moisture (MMK), malt nitrogen (MNIT), malt protein (MPRO), malt soluble nitrogen (SNIT), and wort soluble nitrogen dumas (WSN). Several factors known to influence malt quality were also varied and recorded, including the use of germination aids such as Gibberellic acid, germination moisture levels, and steeping temperature and duration. These treatments are represented in the dataset under the columns STPRegime, GermID, and KilnID. Detailed steeping conditions are documented in the Steep sheet, referenced by codes in the STPRegime column (for example, code P-797 indicates that seeds were steeped at 19 °C following a sequence of 7 hours wet, 9 hours air rest, and 7 hours wet). Similarly, the GermID and KilnID columns link to specific germination and kilning treatments, with full details available in the Germination and Kiln sheets within the dataset.
DOI: 10.5281/zenodo.17460788
title: Malting performance of Australian barley in response to different malting regimes

description: This dataset contains results from trials of Australian barley samples assessed for malting performance using the AEGIC Multimalter under different malting regimes. Comprehensive malt quality data were collected, including key attributes such as malt extract (EFG), Kolbach index (KI), free amino nitrogen (FAN), apparent attenuation limit (AAL), wort viscosity (WVIS), beta-glucan (BG), diastatic power (DP), malt moisture (MMK), malt nitrogen (MNIT), malt protein (MPRO), malt soluble nitrogen (SNIT), and wort soluble nitrogen dumas (WSN). Several factors known to influence malt quality were also varied and recorded, including the use of germination aids such as Gibberellic acid, germination moisture levels, and steeping temperature and duration. These treatments are represented in the dataset under the columns STPRegime, GermID, and KilnID. Detailed steeping conditions are documented in the Steep sheet, referenced by codes in the STPRegime column (for example, code P-797 indicates that seeds were steeped at 19 °C following a sequence of 7 hours wet, 9 hours air rest, and 7 hours wet). Similarly, the GermID and KilnID columns link to specific germination and kilning treatments, with full details available in the Germination and Kiln sheets within the dataset.
DOI: 10.15468/dl.uhyjsh
title: Occurrence Download

description: A dataset containing 33990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Chloropsis hardwickii"
 ]
}

 The dataset includes 33990 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005839-251025141854904/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.30472859
title: <b>Replication Data: Incarcerating the Opposition</b>

description: This is a replicated dataset that was utilized for a research article.
DOI: 10.6084/m9.figshare.30472859.v1
title: <b>Replication Data: Incarcerating the Opposition</b>

description: This is a replicated dataset that was utilized for a research article.
DOI: 10.6084/m9.figshare.30472916
title: Untitles Item ll

description: I and Sentinel-2imagery are available from the Google Earth Engine data catalog(https://developers.google.com/earth-engine/datasets/catalog/landsat; https://developers.google.com/earth-engine/datasets/catalog/sentinel). The MODIS MCD43A4 product was obtained through the Google Earth Engine platform(https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A4
DOI: 10.6084/m9.figshare.30472916.v1
title: Untitles Item ll

description: I and Sentinel-2imagery are available from the Google Earth Engine data catalog(https://developers.google.com/earth-engine/datasets/catalog/landsat; https://developers.google.com/earth-engine/datasets/catalog/sentinel). The MODIS MCD43A4 product was obtained through the Google Earth Engine platform(https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A4
DOI: 10.15468/dl.hjksdc
title: Occurrence Download

description: A dataset containing 1132830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-09-02",
 "EventDate is less than or equal to 2025-10-02",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1132830 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005837-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5jqc6
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendroctonus ponderosae",
 "Year 1910-1955"
 ]
}

 The dataset includes 144 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005840-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9bf7g
title: Occurrence Download

description: A dataset containing 838 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Grus japonensis"
 ]
}

 The dataset includes 838 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005841-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2d8fh
title: Occurrence Download

description: A dataset containing 3487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "GadmGid is MEX.5_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salvia"
 ]
}

 The dataset includes 3487 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005843-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9czhuq
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Thymelaea passerina"
 ]
}

 The dataset includes 27 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005842-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29q9ws
title: Occurrence Download

description: A dataset containing 3513 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhizophora mucronata"
 ]
}

 The dataset includes 3513 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005844-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmpynr
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Capreolus pygargus",
 "Year 2000-2025"
 ]
}

 The dataset includes 96 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005845-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2y7k4
title: Occurrence Download

description: A dataset containing 592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Hechtia texensis"
 ]
}

 The dataset includes 592 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005847-251025141854904/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/10716347
title: FER2013 blendshapes dataset example (Partial)
DOI: 10.15468/dl.6dhba4
title: Occurrence Download

description: A dataset containing 7204 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhizophora apiculata"
 ]
}

 The dataset includes 7204 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005848-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvfbgp
title: Occurrence Download

description: A dataset containing 592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Hechtia texensis"
 ]
}

 The dataset includes 592 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005849-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17470144
title: Art_Conocimientos sobre riesgos, signos y prevención del cáncer oral en adolescentes y adultos_Estudio UNACH

description: RESUMEN

Introducción: El cáncer oral representa un problema de salud pública global debido a su alta incidencia y mortalidad, cuya detección oportuna se ve dificultada por el desconocimiento de sus factores de riesgo y signos tempranos.

Objetivos: Analizar el nivel de conocimientos sobre factores de riesgo, signos y síntomas, y métodos de prevención del cáncer oral en adolescentes y adultos de la Universidad Nacional de Chimborazo.

Métodos: Estudio cuantitativo, descriptivo y transversal con 248 personas, seleccionadas por muestreo no probabilístico. Se aplicó un cuestionario que evaluó tres dimensiones: factores de riesgo, signos/síntomas, y prevención. Los datos se analizaron con estadística descriptiva y multivariada.

Resultados: El 52 % (128/248) presentó un nivel alto de conocimiento, el 42 % (105/248) medio y el 6 % (15/248) bajo. El 87,1 % (216/248) reconoció que el cáncer oral puede ser mortal y el 86,7 % (215/248) identificó la higiene deficiente como un factor de riesgo. Sin embargo, solo el 27,4 % (68/248) conocía la relación con dietas proinflamatorias, y el 54,84 % (136/248) desconocía los signos tempranos. Se hallaron asociaciones significativas entre nivel de conocimiento y variables sociodemográficas (p < 0,05).

Conclusiones: A pesar de la tendencia positiva global, persisten brechas relevantes en el conocimiento específico (signos iniciales, nutrición, exposición solar y VPH). El nivel de conocimiento se asoció significativamente a la Edad y al Nivel de Instrucción. Se recomienda implementar estrategias educativas diferenciadas y contextualizadas en el entorno universitario, priorizando la concientización sobre factores de riesgo emergentes y la identificación de signos tempranos.
DOI: 10.5281/zenodo.17470145
title: Art_Conocimientos sobre riesgos, signos y prevención del cáncer oral en adolescentes y adultos_Estudio UNACH

description: RESUMEN

Introducción: El cáncer oral representa un problema de salud pública global debido a su alta incidencia y mortalidad, cuya detección oportuna se ve dificultada por el desconocimiento de sus factores de riesgo y signos tempranos.

Objetivos: Analizar el nivel de conocimientos sobre factores de riesgo, signos y síntomas, y métodos de prevención del cáncer oral en adolescentes y adultos de la Universidad Nacional de Chimborazo.

Métodos: Estudio cuantitativo, descriptivo y transversal con 248 personas, seleccionadas por muestreo no probabilístico. Se aplicó un cuestionario que evaluó tres dimensiones: factores de riesgo, signos/síntomas, y prevención. Los datos se analizaron con estadística descriptiva y multivariada.

Resultados: El 52 % (128/248) presentó un nivel alto de conocimiento, el 42 % (105/248) medio y el 6 % (15/248) bajo. El 87,1 % (216/248) reconoció que el cáncer oral puede ser mortal y el 86,7 % (215/248) identificó la higiene deficiente como un factor de riesgo. Sin embargo, solo el 27,4 % (68/248) conocía la relación con dietas proinflamatorias, y el 54,84 % (136/248) desconocía los signos tempranos. Se hallaron asociaciones significativas entre nivel de conocimiento y variables sociodemográficas (p < 0,05).

Conclusiones: A pesar de la tendencia positiva global, persisten brechas relevantes en el conocimiento específico (signos iniciales, nutrición, exposición solar y VPH). El nivel de conocimiento se asoció significativamente a la Edad y al Nivel de Instrucción. Se recomienda implementar estrategias educativas diferenciadas y contextualizadas en el entorno universitario, priorizando la concientización sobre factores de riesgo emergentes y la identificación de signos tempranos.
DOI: 10.15468/dl.gyugpq
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Spergularia salina"
 ]
}

 The dataset includes 46 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005850-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxwa8f
title: Occurrence Download

description: A dataset containing 692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendroctonus ponderosae",
 "Year 1980-2025"
 ]
}

 The dataset includes 692 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005852-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtrhuk
title: Occurrence Download

description: A dataset containing 11267 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lynx canadensis"
 ]
}

 The dataset includes 11267 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005851-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-12.3340709/2485173
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3340720/2485174
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3340753/2485175
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3340762/2485176
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3340778/2485177
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3340822/2485178
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3340915/2485179
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3340943/2485180
title: Data for EMSL Project 60921 from December 2024
DOI: 10.15468/dl.2b9gme
title: Occurrence Download

description: A dataset containing 13723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canis lupus Linnaeus, 1758",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 13723 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055508-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-12.3341057/2485181
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3341399/2485182
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3341418/2485183
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3341457/2485184
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3341471/2485185
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2024-12.3341527/2485186
title: Data for EMSL Project 60921 from December 2024
DOI: 10.25582/data.2025-01.3341590/2485187
title: Data for EMSL Project 60921 from January 2025
DOI: 10.25582/data.2025-01.3341645/2485188
title: Data for EMSL Project 60921 from January 2025
DOI: 10.25582/data.2025-01.3341676/2485189
title: Data for EMSL Project 60921 from January 2025
DOI: 10.25582/data.2024-12.3339728/2485190
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339729/2485191
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339730/2485192
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339731/2485193
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339732/2485194
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339733/2485195
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339734/2485196
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339736/2485197
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339737/2485198
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339738/2485199
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339739/2485200
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339740/2485201
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339743/2485202
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339745/2485203
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339746/2485204
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339747/2485205
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339748/2485206
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339749/2485207
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339750/2485208
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339752/2485209
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339753/2485210
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339754/2485211
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339755/2485212
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339756/2485213
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339757/2485214
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339758/2485215
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339759/2485216
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339760/2485217
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339761/2485218
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339762/2485219
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339763/2485220
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339764/2485221
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339765/2485222
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339766/2485223
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339767/2485224
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339768/2485225
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339769/2485226
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339770/2485227
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339771/2485228
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339772/2485229
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339773/2485230
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339774/2485231
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339775/2485232
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339776/2485233
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339777/2485234
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339778/2485235
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339782/2485236
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339784/2485237
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339785/2485238
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339786/2485239
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339787/2485240
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339788/2485241
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339789/2485242
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339791/2485243
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339792/2485244
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339793/2485245
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339794/2485246
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339796/2485247
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339797/2485248
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339798/2485249
title: Data for EMSL Project 60923 from December 2024
DOI: 10.25582/data.2024-12.3339799/2485250
title: Data for EMSL Project 60923 from December 2024