cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1380676.10fu
title: SH1380676.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380678.10fu
title: SH1380678.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380680.10fu
title: SH1380680.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380681.10fu
title: SH1380681.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380684.10fu
title: SH1380684.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380685.10fu
title: SH1380685.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380686.10fu
title: SH1380686.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380688.10fu
title: SH1380688.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380693.10fu
title: SH1380693.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380696.10fu
title: SH1380696.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.ud963a
title: Occurrence Download

description: A dataset containing 978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Country is Portugal",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, Pl@ntNet observations, Biodiversity4all Research-Grade Observations, NABU|naturgucker)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April, May, June, July, August, September, October, November, December, January)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, da86174a-a605-43a4-a5e8-53d484152cd3, e3aa237e-53c8-4c46-93ef-77a18bb9c80e, bb646dff-a905-4403-a49b-6d378c2cf0d9)",
 "TaxonKey is Tropaeolum majus L.",
 "Year 2019-2024"
 ]
}

 The dataset includes 978 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001718-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/5620
title: nordjylland-news-summarization
DOI: 10.15468/dl.5fdj4q
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bombus ussurensis Radoszkowski, 1877",
 "Country is Japan",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 74 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001722-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15519160
title: Data from "Magnetic Dipole Trapping Potential between Infinite Superconducting Plates'

description: Data set generated using FEM to calculate trapping frequencies in a superconducting trap.
DOI: 10.5281/zenodo.15519161
title: Data from "Magnetic Dipole Trapping Potential between Infinite Superconducting Plates'

description: Data set generated using FEM to calculate trapping frequencies in a superconducting trap.
DOI: 10.5281/zenodo.10620776
title: Inventario léxico de PRESEEA-Santander (muestra)

description: Los profesores Hiroto Ueda e Inmaculada Martínez presentan este banco de datos, el inventario léxico lematizado del habla oral contemporánea de la ciudad de Santander (España). Está elaborado a partir de la muestra constituida por 18 informantes de los 54 que integran el corpus completo PRESEEA-Santander. Dicha muestra está preestratificada en torno a las variables de sexo, edad y nivel educativo, conforme a las directrices marcadas en el Proyecto para el Estudio Sociolingüístico del Español de España y América (PRESEEA) (Moreno Fernández 2021).

El objetivo de este inventario es reunir el léxico extraído de las entrevistas orales, grabadas y transcritas en el núcleo urbano de una ciudad española, como parte del proyecto arriba mencionado. Un inventario léxico constituye un recurso de primer orden para abordar el estudio del vocabulario desde parámetros tanto cualitativos como cuantitativos. Su finalidad estriba en poner a disposición de la comunidad científica internacional una estructura que facilite la localización de palabras y su uso investigador en estudios lingüísticos y aplicados, como los propios de la sociolingüística y la lexicometría, entre otros.

El proceso de lematización se ha llevado a cabo mediante procedimientos automatizados y ha sido supervisado por un experto lingüista nativo, con el fin de depurar incorrecciones.
DOI: 10.5281/zenodo.10620777
title: Inventario léxico de PRESEEA-Santander (muestra)

description: Los profesores Hiroto Ueda e Inmaculada Martínez presentan este banco de datos, el inventario léxico lematizado del habla oral contemporánea de la ciudad de Santander (España). Está elaborado a partir de la muestra constituida por 18 informantes de los 54 que integran el corpus completo PRESEEA-Santander. Dicha muestra está preestratificada en torno a las variables de sexo, edad y nivel educativo, conforme a las directrices marcadas en el Proyecto para el Estudio Sociolingüístico del Español de España y América (PRESEEA) (Moreno Fernández 2021).

El objetivo de este inventario es reunir el léxico extraído de las entrevistas orales, grabadas y transcritas en el núcleo urbano de una ciudad española, como parte del proyecto arriba mencionado. Un inventario léxico constituye un recurso de primer orden para abordar el estudio del vocabulario desde parámetros tanto cualitativos como cuantitativos. Su finalidad estriba en poner a disposición de la comunidad científica internacional una estructura que facilite la localización de palabras y su uso investigador en estudios lingüísticos y aplicados, como los propios de la sociolingüística y la lexicometría, entre otros.

El proceso de lematización se ha llevado a cabo mediante procedimientos automatizados y ha sido supervisado por un experto lingüista nativo, con el fin de depurar incorrecciones.
DOI: 10.5281/zenodo.10620851
title: Inventario morfológico de PRESEEA-Santander (muestra)

description: Presentamos a continuación el inventario morfológico lematizado del habla oral contemporánea de la ciudad de Santander (España). Está elaborado a partir de la muestra constituida por 18 informantes de los 54 que integran el corpus completo PRESEEA-Santander. Dicha muestra está preestratificada en torno a las variables de sexo, edad y nivel educativo, conforme a las directrices marcadas en el Proyecto para el Estudio Sociolingüístico del Español de España y América (PRESEEA) (Moreno Fernández 2021).

Un inventario morfológico constituye el lexicón o diccionario mental de los usuarios de la lengua que puede ampliarse según el uso frecuente de las palabras en la lengua que se analice en cada momento. El objetivo de este inventario es reunir la morfología extraída de las entrevistas orales, grabadas y transcritas en el núcleo urbano de una ciudad española, como parte del proyecto mencionado Forma parte, además, del inventario léxico ya presentado por los mismos autores (Martínez y Ueda 2021) y representa, por tanto, una continuidad de este trabajo previo, a partir del cual se pueden generar otras palabras y significados avalados por la comunidad de habla de la lengua, en este caso del español del centro-norte peninsular. Como señala Lieber (2009: 15):

El lexicón de la lengua consiste solamente en morfemas (con las siguientes excepciones: todos los sustantivos irregulares están listados con sus afijos correspondientes para la marca de singular y plural). Las palabras y sus bases léxicas no pueden ser analizadas con certeza y claridad en partículas lingüísticas más segmentadas de las que se presentan (en un inventario morfológico).

El investigador que se acerque a esta obra podrá encontrar, en primer lugar, las palabras base, que se han ordenado alfabéticamente para una mejor localización. Cada una de ellas contiene información sobre la categoría gramatical a la que pertenece, la frecuencia total de aparición en el corpus oral así como las frecuencias correspondientes a las tres variables sociolingüísticas establecidas: sexo, edad y nivel de instrucción. En segundo lugar, aparecen los prefijos y sufijos y los elementos compositivos anterior y posterior, organizados conforme a frecuencias y categorías.El proceso de lematización se ha llevado a cabo mediante procedimientos automatizados y ha sido supervisado por un experto lingüista nativo, con el fin de depurar incorrecciones.
DOI: 10.5281/zenodo.10620852
title: Inventario morfológico de PRESEEA-Santander (muestra)

description: Presentamos a continuación el inventario morfológico lematizado del habla oral contemporánea de la ciudad de Santander (España). Está elaborado a partir de la muestra constituida por 18 informantes de los 54 que integran el corpus completo PRESEEA-Santander. Dicha muestra está preestratificada en torno a las variables de sexo, edad y nivel educativo, conforme a las directrices marcadas en el Proyecto para el Estudio Sociolingüístico del Español de España y América (PRESEEA) (Moreno Fernández 2021).

Un inventario morfológico constituye el lexicón o diccionario mental de los usuarios de la lengua que puede ampliarse según el uso frecuente de las palabras en la lengua que se analice en cada momento. El objetivo de este inventario es reunir la morfología extraída de las entrevistas orales, grabadas y transcritas en el núcleo urbano de una ciudad española, como parte del proyecto mencionado Forma parte, además, del inventario léxico ya presentado por los mismos autores (Martínez y Ueda 2021) y representa, por tanto, una continuidad de este trabajo previo, a partir del cual se pueden generar otras palabras y significados avalados por la comunidad de habla de la lengua, en este caso del español del centro-norte peninsular. Como señala Lieber (2009: 15):

El lexicón de la lengua consiste solamente en morfemas (con las siguientes excepciones: todos los sustantivos irregulares están listados con sus afijos correspondientes para la marca de singular y plural). Las palabras y sus bases léxicas no pueden ser analizadas con certeza y claridad en partículas lingüísticas más segmentadas de las que se presentan (en un inventario morfológico).

El investigador que se acerque a esta obra podrá encontrar, en primer lugar, las palabras base, que se han ordenado alfabéticamente para una mejor localización. Cada una de ellas contiene información sobre la categoría gramatical a la que pertenece, la frecuencia total de aparición en el corpus oral así como las frecuencias correspondientes a las tres variables sociolingüísticas establecidas: sexo, edad y nivel de instrucción. En segundo lugar, aparecen los prefijos y sufijos y los elementos compositivos anterior y posterior, organizados conforme a frecuencias y categorías.El proceso de lematización se ha llevado a cabo mediante procedimientos automatizados y ha sido supervisado por un experto lingüista nativo, con el fin de depurar incorrecciones.
DOI: 10.15468/dl.7zzp8n
title: Occurrence Download

description: A dataset containing 12781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence, Living Specimen)",
 "Country is one of (Mexico, United States of America, Canada)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset includes 12781 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001724-250525065834625/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.29141678
title: Cai_ED_Fig.2.xlsx

description: Dietary interventions to combat non-communicable diseases focus on optimising food intake but overlook the influence of food structure. Here, we investigate how food structure influences digestion. In a randomised crossover study, ten healthy participants were fitted with nasoenteric tubes that allow simultaneous gastric and duodenal sampling, before consuming iso-nutrient chickpea meals with contrasting cellular structures. Primary outcome is gut hormone response. Secondary outcomes are intestinal content analysis, blood glucose and insulin response, subjective appetite changes and ad libitum energy intake. We show that the ‘broken’ and ‘intact’ cell structures of meals result in different digestive and metabolomic profiles, leading to distinct postprandial gut hormones, glycaemia and satiety responses. ‘Broken' meal structure elicits higher GIP, GLP-1, and blood glycaemia, driven by high starch digestibility and a sharp rise in gastric maltose within 30 minutes. ‘Intact’ meal structure produces a prolonged release of GLP-1 and PYY, elevated duodenal amino acids, and undigested starch at 120 minutes. This work highlights how food structure alters upper gastrointestinal-nutrient-sensing hormones, providing insights into the adverse effects of modern diets on obesity and type 2 diabetes.