cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0186235.10fu
title: SH0186235.10FU

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/sh0186236.10fu
title: SH0186236.10FU

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/sh0186237.10fu
title: SH0186237.10FU

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/sh0186238.10fu
title: SH0186238.10FU

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/sh0186239.10fu
title: SH0186239.10FU

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/sh0186240.10fu
title: SH0186240.10FU

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/sh0186241.10fu
title: SH0186241.10FU

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/sh0186242.10fu
title: SH0186242.10FU

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.fb5wpw
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryonia alba",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 110 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024725-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ayhpfj
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryonia alba",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024724-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78648j
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryonia alba",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 55 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024726-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4utrem
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario CDMB - Jardín Botánico Eloy Valenzuela",
 "TaxonKey is Heliconia bihai",
 "Year 1994-2025"
 ]
}

 The dataset includes 35 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024723-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wm2qkm
title: Occurrence Download

description: A dataset containing 2676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myotis bombinus, Myotis brandtii, Myotis chinensis, Myotis dasycneme, Myotis davidii, Myotis fimbriatus, Myotis formosus, Myotis frater, Myotis hasseltii, Myotis horsfieldii, Myotis ikonnikovi, Myotis laniger, Myotis longipes, Myotis macrodactylus, Myotis montivagus, Myotis muricola, Myotis nipalensis, Myotis pequinius, Myotis siligorensis, Submyotodon latirostris, Pipistrellus abramus, Pipistrellus coromandra, Pipistrellus javanicus, Pipistrellus kuhlii, Pipistrellus paterculus, Pipistrellus pipistrellus, Pipistrellus tenuis, Arielulus circumdatus, Hypsugo pulveratus, Hypsugo savii, Ia io, Vespertilio murinus, Vespertilio sinensis, Eptesicus nilssonii, Nyctalus aviator, Nyctalus noctula, Nyctalus plancyi, Barbastella beijingensis, Barbastella darjelingensis, Scotomanes ornatus, Scotophilus heathii, Scotophilus kuhlii, Plecotus auritus, Plecotus austriacus, Miniopterus magnater, Miniopterus pusillus, Murina aurata, Murina cyclotis, Murina eleryi, Murina hilgendorfi)",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 2676 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024727-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.murcwc
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryonia alba",
 "Country is Kyrgyzstan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024728-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fshxqh
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryonia alba",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 182 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024730-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zehau8
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryonia alba",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024729-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b55hx6
title: Occurrence Download

description: A dataset containing 18955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Murina leucogaster, Murina puta, Murina ussuriensis, Harpiocephalus harpia, Kerivoula picta, Kerivoula titania, Nycticebus bengalensis, Nycticebus pygmaeus, Macaca arctoides, Macaca assamensis, Macaca cyclopis, Macaca leonina, Macaca mulatta, Macaca munzala, Macaca thibetana, Trachypithecus francoisi, Trachypithecus pileatus, Trachypithecus shortridgei, Rhinopithecus bieti, Rhinopithecus brelichi, Rhinopithecus roxellana, Rhinopithecus strykeri, Hoolock hoolock, Hylobates lar, Hoolock leuconedys, Nomascus concolor, Nomascus nasutus, Nomascus hainanus, Nomascus leucogenys, Manis javanica, Manis pentadactyla, Canis aureus, Canis lupus, Vulpes corsac, Vulpes ferrilata, Vulpes vulpes, Nyctereutes procyonoides, Cuon alpinus, Melursus ursinus, Ursus arctos, Ursus thibetanus, Helarctos malayanus, Ailuropoda melanoleuca, Martes flavigula, Martes foina, Martes zibellina, Gulo gulo, Mustela altaica, Mustela erminea, Mustela kathiah)",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 18955 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024732-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqsfv3
title: Occurrence Download

description: A dataset containing 4844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleusine coracana",
 "Year 1975-2024"
 ]
}

 The dataset includes 4844 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024733-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6ybme
title: Occurrence Download

description: A dataset containing 847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryonia alba",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 847 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024737-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emez3d
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryonia alba",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024738-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5zgye
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryonia alba",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 413 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024736-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbb5nz
title: Occurrence Download

description: A dataset containing 2359 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis"
 ]
}

 The dataset includes 2359 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024739-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.29211
title: The external dataset contains a list of known DIN or non-DIN compounds with the top 10 structural features.
title: The external dataset contains a list of known DIN or non-DIN compounds with the top 10 structural features.

description: This dataset includes the first ten fingerprint fragments, and the compounds confirmed to have or not have nephrotoxicity in the first ten fingerprint fragments included in the external validation set. 
description: This dataset includes the first ten fingerprint fragments, and the compounds confirmed to have or not have nephrotoxicity in the first ten fingerprint fragments included in the external validation set.
DOI: 10.57760/sciencedb.28513
title: Fecal metagenomic and metabolomic sequencing results
title: Fecal metagenomic and metabolomic sequencing results

description: Fecal metagenomic sequencing results of patients with brain metastases from small cell lung cancer
description: Fecal metagenomic sequencing results of patients with brain metastases from small cell lung cancer
DOI: 10.57760/sciencedb.28402
title: Deduplicated Doctoral Dissertation Index Dataset
title: Deduplicated Doctoral Dissertation Index Dataset

description: The dataset is based on doctoral dissertation index records downloaded from ProQuest. After duplicate data cleaning, the final dataset contains 106,625 unique doctoral dissertation index records, providing a reliable and comprehensive data foundation for subsequent analyses.
description: The dataset is based on doctoral dissertation index records downloaded from ProQuest. After duplicate data cleaning, the final dataset contains 106,625 unique doctoral dissertation index records, providing a reliable and comprehensive data foundation for subsequent analyses.
DOI: 10.57760/sciencedb.28986
title: A practical framework for a theory-driven ecological niche modeling workflow
title: A practical framework for a theory-driven ecological niche modeling workflow

description: Distributional ecology provides a multidimensional understanding of the complex ecological, evolutionary, and biogeographic factors shaping species’ distributions. Distributional ecology uses ecological niche modeling (ENM) serving as a quantitative approach to estimate species’ ecological niches and their manifestation as likely geographic ranges. An important ongoing debate is how to choose a suitable algorithm and its parameters to perform models well. Nevertheless, a main question should be what ecological niche is being reconstructed, the realized or fundamental? Current protocols and emergent evaluation metrics have only focused on reconstructions of the realized niche, driven by the unbalanced credibility between present and pseudo-absence (or background) occurrences, which often prioritize fitting to the available data while overlooking species’ physiological and ecological constraints. Our findings indicate that generalized linear models (GLMs) effectively reconstruct most of the fundamental niche, whereas hypervolume methods, such as kernel density estimation (KDE) and Marble Algorithm (MA), tend to overfit the data and perform poorly. Similarly, Maxent exhibits limitations in characterizing the fundamental niche. We present a conceptual framework to guide assumptions and workflows in ENM applications to facilitate model selection and interpretation.
description: Distributional ecology provides a multidimensional understanding of the complex ecological, evolutionary, and biogeographic factors shaping species’ distributions. Distributional ecology uses ecological niche modeling (ENM) serving as a quantitative approach to estimate species’ ecological niches and their manifestation as likely geographic ranges. An important ongoing debate is how to choose a suitable algorithm and its parameters to perform models well. Nevertheless, a main question should be what ecological niche is being reconstructed, the realized or fundamental? Current protocols and emergent evaluation metrics have only focused on reconstructions of the realized niche, driven by the unbalanced credibility between present and pseudo-absence (or background) occurrences, which often prioritize fitting to the available data while overlooking species’ physiological and ecological constraints. Our findings indicate that generalized linear models (GLMs) effectively reconstruct most of the fundamental niche, whereas hypervolume methods, such as kernel density estimation (KDE) and Marble Algorithm (MA), tend to overfit the data and perform poorly. Similarly, Maxent exhibits limitations in characterizing the fundamental niche. We present a conceptual framework to guide assumptions and workflows in ENM applications to facilitate model selection and interpretation.
DOI: 10.57760/sciencedb.28988
title: Houcan Cup: Career Appraisal - Multi modal Evaluation System for Integrity and Ability Assessment in Interviews
title: 厚粲杯：职鉴——面试中诚信与能力测评的多模态评估系统

description: After the competition, this dataset will be open for access.
description: After the competition, this dataset will be open for access.
DOI: 10.57760/sciencedb.28970
title: The telomere-to-telomere gap-free genome of Musa exotica
title: The telomere-to-telomere gap-free genome of Musa exotica

description: The telomere-to-telomere gap-free genome of Musa exotica and iits annotation file are deposited here.
description: The telomere-to-telomere gap-free genome of Musa exotica and iits annotation file are deposited here.