cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1153625.10fu
title: SH1153625.10FU

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/sh1153626.10fu
title: SH1153626.10FU

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/sh1153627.10fu
title: SH1153627.10FU

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/sh1153630.10fu
title: SH1153630.10FU

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/sh1153631.10fu
title: SH1153631.10FU

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/sh1153632.10fu
title: SH1153632.10FU

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/sh1153633.10fu
title: SH1153633.10FU

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.ea3hqu
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Caretta caretta",
 "Year 1950-1960"
 ]
}

 The dataset includes 32 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004944-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7cdmpd
title: Occurrence Download

description: A dataset containing 802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium trachyspermum A.Gray",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 802 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006346-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g58y8p
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Wolffia globosa (Roxb.) Hartog & Plas"
 ]
}

 The dataset includes 176 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188939-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjxnhc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Allium ramosum L."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180391-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18742/25878517
title: Data supporting the thesis, "An Investigation of Online Activism through Emotional Mobilization on Social Media Platforms such as Weibo and WeChat"

description: Collaborations between citizens and the established media have become integral to professional journalistic practice in the digital age. With the decline of investigative journalism, citizen journalism and online activism have emerged as influential drivers of public discourse and civil society engagement. Despite the stringent state censorship, online debate in China exhibits considerable vibrancy and diversity. However, political engagement in the country generally adopts a less confrontational approach compared to its Western counterpart, and social movements are generally limited to the online sphere without significant offline impact. Examining the current trends, this thesis undertakes a cultural analysis to scrutinise the intricate interplay among the pivotal factors influencing online activism in China. These factors include the state, online platforms, the political sphere, daily expressions within online discourse, and civil society. The research employs a qualitative methodology suited to the sensitive nature of Chinese social media, focusing on three case studies, including the #MeToo movement of 2018 and the 2018 vaccine scandal. Emphasising the significance of emotional mobilisation within social media platforms such as Weibo and WeChat, the study acknowledges that emotions and emotional mobilisation continually influence collective action during Internet mass incidents. However, conventional social movement theory falls short of comprehensively explaining the role of emotions in the political dynamics of the mobile Internet era. Hence, it is crucial to explore the reciprocal and transformative interaction between emotion and rationality within China’s online public sphere, an alternative emotional arena. In this space, individuals often rely on instinct before recoursing to reasoned analysis to interpret and navigate diverse circumstances. The Internet functions as a hub that bridges otherwise atomised individuals and enables them to make unique contributions to collective action.
DOI: 10.15468/dl.ozligy
title: Occurrence Download

description: A dataset containing 1978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is AMNH Mammal Collections"
 ]
}

 The dataset includes 1978 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016834-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18742/25878517.v2
title: Data supporting the thesis, "An Investigation of Online Activism through Emotional Mobilization on Social Media Platforms such as Weibo and WeChat"

description: Collaborations between citizens and the established media have become integral to professional journalistic practice in the digital age. With the decline of investigative journalism, citizen journalism and online activism have emerged as influential drivers of public discourse and civil society engagement. Despite the stringent state censorship, online debate in China exhibits considerable vibrancy and diversity. However, political engagement in the country generally adopts a less confrontational approach compared to its Western counterpart, and social movements are generally limited to the online sphere without significant offline impact. Examining the current trends, this thesis undertakes a cultural analysis to scrutinise the intricate interplay among the pivotal factors influencing online activism in China. These factors include the state, online platforms, the political sphere, daily expressions within online discourse, and civil society. The research employs a qualitative methodology suited to the sensitive nature of Chinese social media, focusing on three case studies, including the #MeToo movement of 2018 and the 2018 vaccine scandal. Emphasising the significance of emotional mobilisation within social media platforms such as Weibo and WeChat, the study acknowledges that emotions and emotional mobilisation continually influence collective action during Internet mass incidents. However, conventional social movement theory falls short of comprehensively explaining the role of emotions in the political dynamics of the mobile Internet era. Hence, it is crucial to explore the reciprocal and transformative interaction between emotion and rationality within China’s online public sphere, an alternative emotional arena. In this space, individuals often rely on instinct before recoursing to reasoned analysis to interpret and navigate diverse circumstances. The Internet functions as a hub that bridges otherwise atomised individuals and enables them to make unique contributions to collective action.
DOI: 10.18742/25878517.v1
title: Data supporting the thesis, "An Investigation of Online Activism through Emotional Mobilization on Social Media Platforms such as Weibo and WeChat"

description: Collaborations between citizens and the established media have become integral to professional journalistic practice in the digital age. With the decline of investigative journalism, citizen journalism and online activism have emerged as influential drivers of public discourse and civil society engagement. Despite the stringent state censorship, online debate in China exhibits considerable vibrancy and diversity. However, political engagement in the country generally adopts a less confrontational approach compared to its Western counterpart, and social movements are generally limited to the online sphere without significant offline impact. Examining the current trends, this thesis undertakes a cultural analysis to scrutinise the intricate interplay among the pivotal factors influencing online activism in China. These factors include the state, online platforms, the political sphere, daily expressions within online discourse, and civil society. The research employs a qualitative methodology suited to the sensitive nature of Chinese social media, focusing on three case studies, including the #MeToo movement of 2018 and the 2018 vaccine scandal. Emphasising the significance of emotional mobilisation within social media platforms such as Weibo and WeChat, the study acknowledges that emotions and emotional mobilisation continually influence collective action during Internet mass incidents. However, conventional social movement theory falls short of comprehensively explaining the role of emotions in the political dynamics of the mobile Internet era. Hence, it is crucial to explore the reciprocal and transformative interaction between emotion and rationality within China’s online public sphere, an alternative emotional arena. In this space, individuals often rely on instinct before recoursing to reasoned analysis to interpret and navigate diverse circumstances. The Internet functions as a hub that bridges otherwise atomised individuals and enables them to make unique contributions to collective action.
DOI: 10.15468/dl.35gm3k
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthus caudatus L."
 ]
}

 The dataset includes 173 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184848-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zln9dk
title: Occurrence Download

description: A dataset containing 876 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Numérisation des données faune contenues dans les Bulletins de la Société Linnéenne de Bordeaux-Bulletin de la Société Linnéenne de Bordeaux, Tome 144 (N.S) n° 37 (2), 2009 - Données faune"
 ]
}

 The dataset includes 876 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022798-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucvhqy
title: Occurrence Download

description: A dataset containing 98606 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Polygala vulgaris L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 98606 records from 293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016835-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yeaa8u
title: Occurrence Download

description: A dataset containing 1208 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Cetacean Sightings Survey and Southern Ocean cetacean program"
 ]
}

 The dataset includes 1208 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155374-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jxajv
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Machine Observation"
 ]
 },
 "Geometry POLYGON((-65.83008 -60.19616,-16.34766 -60.67318,-15.11719 -42.81152,-13.71094 -12.89749,-31.28906 10.83331,-43.24219 24.84657,-38.32031 36.87962,-25.83984 65.58572,-36.38672 67.54217,-47.63672 67.54217,-68.68652 67.25506,-69.16992 65.54937,-77.21191 64.68032,-78.00293 63.33241,-77.3877 62.20651,-72.68555 59.04055,-70.13672 53.85253,-76.24512 48.95137,-78.83789 41.83683,-82.44141 37.30028,-95.80078 33.57801,-101.77734 27.21556,-98.10791 18.16673,-94.81201 17.28771,-90.06592 14.96601,-87.60498 15.00846,-85.18799 13.94473,-84.35303 10.2933,-82.33154 8.68964,-81.10107 8.47237,-80.52979 8.6462,-79.29932 9.25394,-78.46436 8.9936,-77.03613 7.4932,-69.60937 2.1089,-50.97656 -14.26438,-68.99414 -40.5138,-72.1582 -51.01375,-68.4668 -54.41893,-65.83008 -60.19616))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ampheraster alaminos Downey, 1971"
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188842-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xvgyz
title: Occurrence Download

description: A dataset containing 718 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apodanthera undulata A.Gray"
 ]
}

 The dataset includes 718 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188934-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vze6j
title: Occurrence Download

description: A dataset containing 77938 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-59.084472656249986 -13.282718960896403,-59.172363281249986 -15.876809064146755,-54.909667968749986 -15.792253570362448,-54.68994140624999 -13.239945499286293,-59.084472656249986 -13.282718960896403))"
 ]
}

 The dataset includes 77938 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016836-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tu2qd4
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is Apoyo a las colecciones biológicas de la Facultad de Ciencias de la UNAM: Fase 1 (Collembola)"
 ]
}

 The dataset includes 31 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155399-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kjhpm
title: Occurrence Download

description: A dataset containing 725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Buxus balearica Lam."
 ]
}

 The dataset includes 725 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0156344-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssooup
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Leontocebus fuscus (Lesson, 1840)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016836-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.