cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ccx8qa
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ajania breviloba (Franch. ex Diels) Y.Ling & C.Shih"
 ]
}

 The dataset includes 55 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023987-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3ovvd
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Pterois volitans (Linnaeus, 1758)"
 ]
}

 The dataset includes 211 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034749-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28693s
title: Occurrence Download

description: A dataset containing 1265 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudantechinus macdonnellensis (Spencer, 1896)"
 ]
}

 The dataset includes 1265 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024002-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwqd3k
title: Occurrence Download

description: A dataset listing the 686 species recorded in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON(((-98.18216 36.78969,-98.18218 36.80407,-98.18218 36.815,-98.20012 36.81511,-98.20012 36.82599,-98.20013 36.83964,-98.21366 36.84061,-98.21362 36.82877,-98.21692 36.83147,-98.22362 36.83154,-98.22364 36.82599,-98.22596 36.82237,-98.22598 36.81875,-98.23495 36.81866,-98.23496 36.81503,-98.23949 36.81503,-98.23952 36.81867,-98.24405 36.81867,-98.24422 36.81212,-98.25305 36.81133,-98.25303 36.80416,-98.25753 36.80412,-98.25752 36.797,-98.25297 36.79701,-98.25297 36.78965,-98.27573 36.78962,-98.27572 36.78594,-98.27121 36.78594,-98.26225 36.77874,-98.26222 36.77148,-98.26676 36.77147,-98.26677 36.77515,-98.27135 36.77513,-98.27133 36.76779,-98.28485 36.76781,-98.28934 36.76429,-98.29389 36.76424,-98.29378 36.75712,-98.28926 36.75703,-98.28928 36.7534,-98.29826 36.75344,-98.29822 36.74984,-98.28932 36.74983,-98.28481 36.74623,-98.28475 36.74259,-98.28032 36.73898,-98.28031 36.7354,-98.2847 36.7283,-98.28471 36.72455,-98.28473 36.72105,-98.27567 36.72103,-98.27562 36.7173,-98.27113 36.71731,-98.27114 36.71008,-98.26654 36.71008,-98.26655 36.70462,-98.26657 36.69558,-98.27108 36.69553,-98.27103 36.69186,-98.26196 36.69183,-98.26196 36.68816,-98.26196 36.68455,-98.24398 36.68456,-98.24397 36.68086,-98.23755 36.68085,-98.25062 36.6917,-98.23707 36.68085,-98.21693 36.68083,-98.21325 36.68537,-98.20651 36.68992,-98.20542 36.69356,-98.19981 36.69537,-98.19088 36.7026,-98.19089 36.70627,-98.18758 36.7099,-98.18204 36.70982,-98.1731 36.717,-98.17315 36.72155,-98.16637 36.72152,-98.15525 36.73141,-98.15517 36.73856,-98.16419 36.73868,-98.16421 36.75312,-98.16199 36.75858,-98.16435 36.76191,-98.169 36.7619,-98.16897 36.76785,-98.1734 36.76794,-98.17333 36.77868,-98.17325 36.78959,-98.18216 36.78969)),((-98.19978 36.88397,-98.19974 36.8876,-98.20653 36.88769,-98.2043 36.88403,-98.20436 36.87679,-98.19984 36.87674,-98.19978 36.88397)))"
 ]
}

 The dataset's 686 records were derived from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172102-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcpuml
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ceroxylon quindiuense (H.Karst.) H.Wendl.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 187 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034750-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9yxsz
title: Occurrence Download

description: A dataset containing 497 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gevuina avellana Molina"
 ]
}

 The dataset includes 497 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004245-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khzcju
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Phrynobatrachus keniensis Barbour & Loveridge, 1928"
 ]
}

 The dataset includes 181 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017897-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rc1zsi
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Electrophorus Gill, 1864"
 ]
}

 The dataset includes 523 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034751-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwe9p9
title: Occurrence Download

description: A dataset containing 1568 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Emberiza variabilis Temminck, 1836"
 ]
}

 The dataset includes 1568 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004041-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkg539
title: Occurrence Download

description: A dataset containing 861942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Danish Mycological Society, fungal records database",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 861942 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136783-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kephas
title: Occurrence Download

description: A dataset containing 325 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Month is April",
 "Month is March",
 "Month is May"
 ]
 },
 "Geometry POLYGON((-106.96023 43.12498,-103.89281 43.12498,-103.89281 45.45363,-106.96023 45.45363,-106.96023 43.12498))",
 {
 "or" : [
 "TaxonKey is Reptilia",
 "TaxonKey is Amphibia"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 325 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034752-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85hj23
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ajania pallasiana (Fisch. ex Besser) Poljakov"
 ]
}

 The dataset includes 418 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024036-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pj84zc
title: Occurrence Download

description: A dataset containing 1735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elodea potamogeton (Bertero) Espinosa, Elytrophorus globularis Hack., Elytrophorus spicatus (Willd.) A.Camus, Endocaulos mangorense (Perr.) C.Cusset, Enydra fluctuans Lour., Enydra radicans (Willd.) Lack, Enydra sessilifolia (Ruiz & Pav.) Cabrera)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation, Literature Occurrence, Material sample, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 1735 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180907-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nphayk
title: Occurrence Download

description: A dataset containing 53899 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diomedea Linnaeus, 1758"
 ]
}

 The dataset includes 53899 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034752-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1094887.10fu
title: SH1094887.10FU

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/sh1094888.10fu
title: SH1094888.10FU

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/sh1094889.10fu
title: SH1094889.10FU

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/sh1094892.10fu
title: SH1094892.10FU

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/sh1094893.10fu
title: SH1094893.10FU

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/sh1094895.10fu
title: SH1094895.10FU

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/sh1094896.10fu
title: SH1094896.10FU

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/sh1094897.10fu
title: SH1094897.10FU

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/sh1094900.10fu
title: SH1094900.10FU

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/sh1094901.10fu
title: SH1094901.10FU

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: 10.17632/vdbsv7dcjb
title: youtube_comments

description: youtube_commentsIn order to investigate the interactive digital narrative mechanism and communication effectiveness of cultural heritage in games, this study uses the comments left by international players on Black Myth: Wukong as its primary analytic object. This study uses the LDA (Latent Dirichlet Allocation) topic model (Blei et al., 2003), focusing on topic mining of comments on Black Myth: Wukong-related cultural heritage videos on the YouTube platform, in order to objectively and methodically identify the core concerns and cognitive structure of overseas players regarding cultural heritage in Black Myth: Wukong and prevent biases caused by the researcher's subjective selection of comments. This approach's benefit is its ability to automatically distill possible subject clusters from large amounts of textual data, exposing the patterns and hotspots of players' organic conversations. It further reveals the interactive digital storytelling mechanism of cultural heritage in games when combined with Hartmut Koenitz's SPP model, which is depicted in the figure.
Using keywords like "black myth wukong," "Chinese," "music," "culture," "heritage," "Shanbei storytelling," "wall sculpture," "myth," "Journey to the West," "traditional," "Buddhist philosophy," "aesthetics," "martial arts culture," and "kongfu," this study searched YouTube and found 13 extremely relevant videos (as of September 13, 2025), as indicated in Table 2. Following the crawling and cleaning of these films' comments, 5,649 legitimate comments were found.