cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fbcb33
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parajulis poecilepterus (Temminck & Schlegel, 1845)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 357 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021808-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppv9wq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Julis poecilepterus Temminck & Schlegel, 1845",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021809-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.27978480
title: In this table, we excluded metabolites that exhibit horizontal pleiotropy and are not associated with both BMI and NAFLD. We attempted to merge Tables 2-4, but we encountered an unresolved issue: the mediation analysis identifies metabolites that are associated with both BMI and NAFLD simultaneously, whereas many metabolites are only associated with one of these (either BMI or NAFLD). Although we tried to integrate the tables, we found that forced integration would paradoxically increase the complexity of the table. As shown in this table, there are a total of 157 metabolites, but only 86 of them are potential mediators. Therefore, merging the three tables would actually increase the complexity of the presentation.

description: In this table, we excluded metabolites that exhibit horizontal pleiotropy and are not associated with both BMI and NAFLD. We attempted to merge Tables 2-4, but we encountered an unresolved issue: the mediation analysis identifies metabolites that are associated with both BMI and NAFLD simultaneously, whereas many metabolites are only associated with one of these (either BMI or NAFLD). Although we tried to integrate the tables, we found that forced integration would paradoxically increase the complexity of the table. As shown in this table, there are a total of 157 metabolites, but only 86 of them are potential mediators. Therefore, merging the three tables would actually increase the complexity of the presentation.
DOI: 10.6084/m9.figshare.27978480.v1
title: In this table, we excluded metabolites that exhibit horizontal pleiotropy and are not associated with both BMI and NAFLD. We attempted to merge Tables 2-4, but we encountered an unresolved issue: the mediation analysis identifies metabolites that are associated with both BMI and NAFLD simultaneously, whereas many metabolites are only associated with one of these (either BMI or NAFLD). Although we tried to integrate the tables, we found that forced integration would paradoxically increase the complexity of the table. As shown in this table, there are a total of 157 metabolites, but only 86 of them are potential mediators. Therefore, merging the three tables would actually increase the complexity of the presentation.

description: In this table, we excluded metabolites that exhibit horizontal pleiotropy and are not associated with both BMI and NAFLD. We attempted to merge Tables 2-4, but we encountered an unresolved issue: the mediation analysis identifies metabolites that are associated with both BMI and NAFLD simultaneously, whereas many metabolites are only associated with one of these (either BMI or NAFLD). Although we tried to integrate the tables, we found that forced integration would paradoxically increase the complexity of the table. As shown in this table, there are a total of 157 metabolites, but only 86 of them are potential mediators. Therefore, merging the three tables would actually increase the complexity of the presentation.
DOI: 10.15468/dl.fcnay6
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Priacanthus macracanthus Cuvier, 1829",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 212 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021811-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gm6ec8
title: Occurrence Download

description: A dataset containing 1243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia procera (Roxb.) Benth.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1243 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021812-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qensrx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Priacanthus meeki Jenkins, 1903",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021813-241126133413365/datasets/export for details.
DOI: 10.15468/dl.7hms3r
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beryx splendens Lowe, 1834",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021814-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14286549
title: Análisis bibliométrico de las publicaciones de un instituto público de investigación peruano: producción, colaboración, impacto y liderazgo científico
DOI: 10.5281/zenodo.14286550
title: Análisis bibliométrico de las publicaciones de un instituto público de investigación peruano: producción, colaboración, impacto y liderazgo científico
DOI: 10.15468/dl.86zmzw
title: Occurrence Download

description: A dataset containing 2777635 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salmo trutta Linnaeus, 1758"
 ]
}

 The dataset includes 2777635 records from 706 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021810-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqxjt2
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beryx decadactylus Cuvier, 1829",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021815-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avzku7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Araeosoma migratum Anderson, 2013",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021816-241126133413365/datasets/export for details.
DOI: 10.15468/dl.azj8ek
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epinephelus bruneus Bloch, 1793",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021817-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2cz6u
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liparis tanakae (Gilbert & Burke, 1912)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 247 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021818-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/etmue9
title: Singapore Gratitude Dyadic Daily Diary Study, 2015

description: 50 mixed-gender couples (N = 100 individuals) were recruited via the introductory psychology participation pool and advertisements posted on the student portal in a large university in Singapore. To be eligible, participants had to be either a student at the university or at least 21 years old. Participants’ average age was 21.69 years (SD = 1.75, range = 18–27). Participants were involved in romantic relationships (63% dating exclusively, 37% committed to be married) for an average of 1.65 years (SD = 1.79, range =1 month–8 years). This study unfortunately did not include a measure of ethnicity. During an initial session at the lab, participants completed a questionnaire and were given instructions for completing the daily diary portion. After the lab session, participants completed a brief questionnaire about their day every night for the subsequent 14 days. On average, participants completed 13.87 diary records. National University of Singapore IRB# A-15-018
DOI: 10.15468/dl.hjpa93
title: Occurrence Download

description: A dataset containing 858 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arapaima gigas (Schinz, 1822)"
 ]
}

 The dataset includes 858 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021819-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wcwnb
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyclogaster tanakae Gilbert & Burke, 1912",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021820-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7d2ef
title: Occurrence Download

description: A dataset containing 6378892 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1950-2020"
 ]
}

 The dataset includes 6378892 records from 1763 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021804-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1089095.10fu
title: SH1089095.10FU

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/sh1089098.10fu
title: SH1089098.10FU

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/sh1089101.10fu
title: SH1089101.10FU

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/sh1089102.10fu
title: SH1089102.10FU

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/sh1089109.10fu
title: SH1089109.10FU

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/sh1089111.10fu
title: SH1089111.10FU

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/sh1089113.10fu
title: SH1089113.10FU

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/sh1089116.10fu
title: SH1089116.10FU

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/sh1089119.10fu
title: SH1089119.10FU

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/sh1089121.10fu
title: SH1089121.10FU

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.