cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gm6s3r
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "TaxonKey is Halenia grandiflora"
 ]
}

 The dataset includes 207 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009335-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18755320
title: Archivo Fotográfico Lafuente Ferrari (Patrimonio Digital Complutense)
title: Lafuente Ferrari Photographic Collection (Patrimonio Digital Complutense)

description: El Archivo Fotográfico de Enrique Lafuente Ferrari forma parte del patrimonio de la Biblioteca de la Universidad Complutense de Madrid y fue donado por el insigne profesor al Departamento de Historia del Arte de la Facultad de Bellas Artes, que lo custodió, estudió y conservó con esmero durante años. Desde el año 2011 se encuentra depositado en la Biblioteca Histórica y está formado por 11.545 diapositivas antiguas sobre placa de vidrio pertenecientes a los más famosos estudios fotográficos dedicados a la comercialización de diapositivas de reproducciones artísticas con fines pedagógicos de finales del siglo XIX y primer tercio del siglo XX. En el año 2012, gracias a una ayuda de la Dirección General del Libro, Archivos y Bibliotecas del Ministerio de Cultura, se inició el proceso de digitalización de este Archivo Fotográfico que alcanzó en su primera fase un total de 1161 imágenes, lo que supone tan sólo un 10% del total y abarca las colecciones correspondientes a los estudios Braun et Cie, de Franz y Edgar Hanfstaengl, Lévy et ses Fils, Pestalozzi Educational View Institute, del Dr. Franz Stoedtner, y algunos otros, todos ellos dedicados a la fotografía de reproducción artística.

El Servicio de Edición Digital y Web de la Biblioteca Complutense ha llevado a cabo la conversión de los metadatos originales (disponibles en el buscador Cisne en formato Marc21) a distintos vocabularios interoperables (tsv, txt, ods, xml) para su puesta a disposición al público.
description: Lafuente Ferrari Photographic Collection is part of the heritage of the Complutense University of Madrid Library and was donated by the distinguished professor to the Department of Art History of the Faculty of Fine Arts, which carefully guarded, studied, and preserved it for years. Since 2011, it has been housed in the Historical Library and consists of 11,545 glass plate slides belonging to the most famous photographic studios dedicated to the commercialization of slides of artistic reproductions for educational purposes in the late 19th century and the first third of the 20th century. In 2012, with the support of the Director General of Books, Archives, and Libraries of the Spanish Culture Ministry, the process of digitizing this photographic archive began. In its first phase, a total of 1,161 images were digitized, covering only 10% of the total and including collections from the studios Braun et Cie, Franz and Edgar Hanfstaengl, Lévy et ses Fils, Pestalozzi Educational View Institute, Dr. Franz Stoedtner, and several others, all of which are dedicated to artistic reproduction photography.

The Digital and Web Service of the Complutense Library has converted the original metadata (available in Cisne search engine in Marc21 format) into different interoperable vocabularies (tsv, txt, ods, xml) to make it available to the public.
DOI: 10.5281/zenodo.18755321
title: Archivo Fotográfico Lafuente Ferrari (Patrimonio Digital Complutense)
title: Lafuente Ferrari Photographic Collection (Patrimonio Digital Complutense)

description: El Archivo Fotográfico de Enrique Lafuente Ferrari forma parte del patrimonio de la Biblioteca de la Universidad Complutense de Madrid y fue donado por el insigne profesor al Departamento de Historia del Arte de la Facultad de Bellas Artes, que lo custodió, estudió y conservó con esmero durante años. Desde el año 2011 se encuentra depositado en la Biblioteca Histórica y está formado por 11.545 diapositivas antiguas sobre placa de vidrio pertenecientes a los más famosos estudios fotográficos dedicados a la comercialización de diapositivas de reproducciones artísticas con fines pedagógicos de finales del siglo XIX y primer tercio del siglo XX. En el año 2012, gracias a una ayuda de la Dirección General del Libro, Archivos y Bibliotecas del Ministerio de Cultura, se inició el proceso de digitalización de este Archivo Fotográfico que alcanzó en su primera fase un total de 1161 imágenes, lo que supone tan sólo un 10% del total y abarca las colecciones correspondientes a los estudios Braun et Cie, de Franz y Edgar Hanfstaengl, Lévy et ses Fils, Pestalozzi Educational View Institute, del Dr. Franz Stoedtner, y algunos otros, todos ellos dedicados a la fotografía de reproducción artística.

El Servicio de Edición Digital y Web de la Biblioteca Complutense ha llevado a cabo la conversión de los metadatos originales (disponibles en el buscador Cisne en formato Marc21) a distintos vocabularios interoperables (tsv, txt, ods, xml) para su puesta a disposición al público.
description: Lafuente Ferrari Photographic Collection is part of the heritage of the Complutense University of Madrid Library and was donated by the distinguished professor to the Department of Art History of the Faculty of Fine Arts, which carefully guarded, studied, and preserved it for years. Since 2011, it has been housed in the Historical Library and consists of 11,545 glass plate slides belonging to the most famous photographic studios dedicated to the commercialization of slides of artistic reproductions for educational purposes in the late 19th century and the first third of the 20th century. In 2012, with the support of the Director General of Books, Archives, and Libraries of the Spanish Culture Ministry, the process of digitizing this photographic archive began. In its first phase, a total of 1,161 images were digitized, covering only 10% of the total and including collections from the studios Braun et Cie, Franz and Edgar Hanfstaengl, Lévy et ses Fils, Pestalozzi Educational View Institute, Dr. Franz Stoedtner, and several others, all of which are dedicated to artistic reproduction photography.

The Digital and Web Service of the Complutense Library has converted the original metadata (available in Cisne search engine in Marc21 format) into different interoperable vocabularies (tsv, txt, ods, xml) to make it available to the public.
DOI: 10.15468/dl.fbvnjy
title: Occurrence Download

description: A dataset containing 372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saurauia cuatrecasana",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 372 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009336-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgzwhu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Turdus unicolor"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009337-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7xm2x
title: Occurrence Download

description: A dataset containing 5595622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Global soil organisms",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi",
 "Year 1970-2026"
 ]
}

 The dataset includes 5595622 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009324-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rdacv
title: Occurrence Download

description: A dataset containing 4766 records in GBIF matching the query:

SELECT
 gbifid, datasetkey, occurrenceid, kingdom, phylum, class,
 "order", family, genus, species, scientificname,
 countrycode, locality, v_verbatimlocality,
 decimallatitude, decimallongitude,
 coordinateuncertaintyinmeters, eventdate, "year",
 basisofrecord, institutioncode, collectioncode,
 catalognumber, recordedby, identifiedby
FROM occurrence
WHERE kingdomkey = 6
AND (
 lower(locality) LIKE '%cyclop%'
 OR lower(locality) LIKE '%cycloop%'
 OR lower(locality) LIKE '%cijcloop%'
 OR lower(locality) LIKE '%syclop%'
 OR lower(locality) LIKE '%dafonsoro%'
 OR lower(locality) LIKE '%dobonsolo%'
 OR lower(locality) LIKE '%dabonsolo%'
 OR lower(locality) LIKE '%robong holo%'
 OR lower(locality) LIKE '%robhong holo%'
 OR lower(v_verbatimlocality) LIKE '%cyclop%'
 OR lower(v_verbatimlocality) LIKE '%cycloop%'
 OR lower(v_verbatimlocality) LIKE '%cijcloop%'
 OR lower(v_verbatimlocality) LIKE '%syclop%'
 OR lower(v_verbatimlocality) LIKE '%dafonsoro%'
 OR lower(v_verbatimlocality) LIKE '%dobonsolo%'
 OR lower(v_verbatimlocality) LIKE '%dabonsolo%'
 OR lower(v_verbatimlocality) LIKE '%robong holo%'
 OR lower(v_verbatimlocality) LIKE '%robhong holo%'
)


 The dataset's 4766 records were derived from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009306-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1406808.10fu
title: SH1406808.10FU

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/sh1406813.10fu
title: SH1406813.10FU

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/sh1406814.10fu
title: SH1406814.10FU

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/sh1406816.10fu
title: SH1406816.10FU

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/sh1406817.10fu
title: SH1406817.10FU

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/sh1406818.10fu
title: SH1406818.10FU

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/sh1406820.10fu
title: SH1406820.10FU

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/sh1406825.10fu
title: SH1406825.10FU

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/sh1406826.10fu
title: SH1406826.10FU

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/sh1406827.10fu
title: SH1406827.10FU

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.qehfnk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Monoplacophora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-10 30,0 30,0 40,-10 40,-10 30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018663-251009101135966/datasets/export for details.
DOI: 10.5517/cc532lx
title: CCDC 151918: Experimental Crystal Structure Determination

description: Related Article: C.W.Liu, Chiu-Mine Hung, B.K.Santra, Yi-Hua Chu, Ju-Chun Wang, Zhenyang Lin|2004|Inorg.Chem.|43|4306|doi:10.1021/ic049589j
description: Related Article: C.W.Liu, Chiu-Mine Hung, Hsiu-Chih Chen, Ju-Chung Wang, Tai-Chiun Keng, K.Guo|2000|Chem.Commun.||1897|doi:10.1039/b005366j
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc532my
title: CCDC 151919: Experimental Crystal Structure Determination

description: Related Article: C.W.Liu, Chiu-Mine Hung, B.K.Santra, Yi-Hua Chu, Ju-Chun Wang, Zhenyang Lin|2004|Inorg.Chem.|43|4306|doi:10.1021/ic049589j
description: Related Article: C.W.Liu, Chiu-Mine Hung, Hsiu-Chih Chen, Ju-Chung Wang, Tai-Chiun Keng, K.Guo|2000|Chem.Commun.||1897|doi:10.1039/b005366j
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc532nz
title: CCDC 151920: Experimental Crystal Structure Determination

description: Related Article: C.Pettinari, F.Marchetti, A.Cingolani, A.Drozdov, S.Troyanov|2000|Chem.Commun.||1901|doi:10.1039/b005221n
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.