cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17525677
title: IBEX-FinTime: Harmonized Financial and Macroeconomic Time Series (2015–2025)
DOI: 10.15468/dl.syv6kh
title: Occurrence Download

description: A dataset listing the 55031 species recorded in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Year 2020-2023"
 ]
}

 The dataset's 55031 records were derived from 12460 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015492-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zt4fsq
title: Occurrence Download

description: A dataset containing 414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eudyptes robustus Oliver, 1953",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 414 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007369-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/52d58g34xd
title: Cribado de información

description: El análisis de concepto de ganancia del cuidado se realizó según la Metodología de Walker y Avant en 2019 que consta de 8 pasos, pero para este estudio fue ajustada a 7 pasos24. El primer paso fue seleccionar el concepto “ganancia del cuidado” y el segundo fue establecer el propósito y objetivo de este análisis. El tercer paso consistió en identificar y clarificar el uso del concepto. En el cuarto paso, se señalan los atributos (características) de la ganancia del cuidado, en este paso se analizan los artículos y documentos encontrados de manera rigurosa e intensiva para clarificar el concepto. En el quinto paso se narra un caso modelo real acerca de una persona cuidadora y su familiar con demencia que viven en la comunidad. En el sexto paso referimos los antecedentes, que son las acciones o condiciones necesarias para que el concepto pueda ocurrir; las consecuencias, que son los resultados del evento, y los elementos que podrían influir en la presencia de ganancia del cuidado En el séptimo paso se describieron los referentes empíricos encontrados. Para los pasos 3 al 7 se realizó una búsqueda dirigida de la literatura en bases de datos, para estudios, libros, guías, documentos oficiales y otros, que permitan identificar conceptos semejantes de utilidad para la clarificación del concepto seleccionado24,25. De esta forma, se consiguen identificar ciertos elementos conceptuales y distinguir el concepto elegido de aquellos hallados durante la revisión previa, así como los posibles referentes empíricos. 
Fuentes de datos
La información utilizada se recolectó a través de la búsqueda bibliográfica en las bases de datos, SCOPUS, WEB OF SCIENCE, CINAHL, ProQuest, LILACS y una búsqueda manual en listas de referencias de artículos recuperados. La estrategia de búsqueda incluyó en todos los casos ((caregiving gain)) OR (caregiving benefits) OR (caregiving reward) OR (positive caregiving outcomes) AND (caregivers) OR (carer)) OR (Family Caregivers) AND ("dementia") OR ("dementias") OR ("Alzheimer disease")). En cuanto a los criterios de inclusión se eligieron artículos originales y de revisión que incluían la definición de ganancia del cuidado y/o los “Usos del Concepto” “Atributos”, “Antecedentes”, “Consecuencias”, “Referentes Empíricos” en muestras de cuidadores de personas con demencia, filtrados por idioma “español, “ingles”, “portugués” sin límite de tiempo. Se excluyeron editoriales, cartas al editor, resúmenes, opiniones de especialistas. A través del uso de software Rayyan IA, se excluyeron los archivos duplicados y se realizó lectura de títulos y resúmenes, después lectura a texto completo a 131 artículos de estos se incluyeron 18 artículos
DOI: 10.17632/52d58g34xd.1
title: Cribado de información

description: El análisis de concepto de ganancia del cuidado se realizó según la Metodología de Walker y Avant en 2019 que consta de 8 pasos, pero para este estudio fue ajustada a 7 pasos24. El primer paso fue seleccionar el concepto “ganancia del cuidado” y el segundo fue establecer el propósito y objetivo de este análisis. El tercer paso consistió en identificar y clarificar el uso del concepto. En el cuarto paso, se señalan los atributos (características) de la ganancia del cuidado, en este paso se analizan los artículos y documentos encontrados de manera rigurosa e intensiva para clarificar el concepto. En el quinto paso se narra un caso modelo real acerca de una persona cuidadora y su familiar con demencia que viven en la comunidad. En el sexto paso referimos los antecedentes, que son las acciones o condiciones necesarias para que el concepto pueda ocurrir; las consecuencias, que son los resultados del evento, y los elementos que podrían influir en la presencia de ganancia del cuidado En el séptimo paso se describieron los referentes empíricos encontrados. Para los pasos 3 al 7 se realizó una búsqueda dirigida de la literatura en bases de datos, para estudios, libros, guías, documentos oficiales y otros, que permitan identificar conceptos semejantes de utilidad para la clarificación del concepto seleccionado24,25. De esta forma, se consiguen identificar ciertos elementos conceptuales y distinguir el concepto elegido de aquellos hallados durante la revisión previa, así como los posibles referentes empíricos. 
Fuentes de datos
La información utilizada se recolectó a través de la búsqueda bibliográfica en las bases de datos, SCOPUS, WEB OF SCIENCE, CINAHL, ProQuest, LILACS y una búsqueda manual en listas de referencias de artículos recuperados. La estrategia de búsqueda incluyó en todos los casos ((caregiving gain)) OR (caregiving benefits) OR (caregiving reward) OR (positive caregiving outcomes) AND (caregivers) OR (carer)) OR (Family Caregivers) AND ("dementia") OR ("dementias") OR ("Alzheimer disease")). En cuanto a los criterios de inclusión se eligieron artículos originales y de revisión que incluían la definición de ganancia del cuidado y/o los “Usos del Concepto” “Atributos”, “Antecedentes”, “Consecuencias”, “Referentes Empíricos” en muestras de cuidadores de personas con demencia, filtrados por idioma “español, “ingles”, “portugués” sin límite de tiempo. Se excluyeron editoriales, cartas al editor, resúmenes, opiniones de especialistas. A través del uso de software Rayyan IA, se excluyeron los archivos duplicados y se realizó lectura de títulos y resúmenes, después lectura a texto completo a 131 artículos de estos se incluyeron 18 artículos
DOI: 10.15156/bio/sh1374346.10fu
title: SH1374346.10FU

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/sh1374347.10fu
title: SH1374347.10FU

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/sh1374349.10fu
title: SH1374349.10FU

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/sh1374350.10fu
title: SH1374350.10FU

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/sh1374351.10fu
title: SH1374351.10FU

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/sh1374353.10fu
title: SH1374353.10FU

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/sh1374355.10fu
title: SH1374355.10FU

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/sh1374359.10fu
title: SH1374359.10FU

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/sh1374361.10fu
title: SH1374361.10FU

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/sh1374363.10fu
title: SH1374363.10FU

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.wfckay
title: Occurrence Download

description: A dataset containing 69314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carex humilis"
 ]
}

 The dataset includes 69314 records from 510 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005562-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xta389
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex pilosa",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009350-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/y56-jbe-hkf
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ysw-xg0-c4r
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/72z-f5e-03z
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wr7-05m-yrl
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8wz-yaf-rwn
title: Elephas Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hyd-k1n-pqp
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l8a-vjm-mv4
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h47-6md-z6q
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fek-k5y-c8h
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h55-05p-jpw
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0f5-98k-7t1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qr2-kad-0dh
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5xl-9za-xr8
title: Elephas Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n34-n5f-slk
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4fl-kj5-7s6
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/55b-9sv-xdh
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/56n-85w-3t5
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ty7-qfl-j5d
title: Muntiacus muntjak (Zimmermann, 1780)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rwl-m4c-kcp
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/602-an1-y1l
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9ec-qqz-z85
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6np-nvh-45f
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/047-l2l-clm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jdg-he7-6zs
title: Bos Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4xe-jdc-wp1
title: †Cymbalopora radiata Hagenow, 1851

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ylw-mv9-m2r
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bbq-ftf-qd5
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hf9-0py-fx3
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fwc-fn0-wdz
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xx0-g61-7cz
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7kw-tvs-ff6
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vf1-8zg-msd
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gr8-fjr-fyl
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1hw-4a7-tf1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.