cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1080861.10fu
title: SH1080861.10FU

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/sh1080864.10fu
title: SH1080864.10FU

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: 10.21227/sztp-hc33
title: "Sinhala YouTube Comments Imparting Knowledge to Society Through Humor"

description: "Sentiment Analysis (SA), also known as opinion mining is used to ascertain the sentiment or emotional undertone of a text. According to how strongly an opinion is held in favor of or against the subject matter being discussed, it can be categorized as either positive, negative, or objective. In the realm of SA, most research is mainly focused on the English language. According to the literature, the Sinhala Language gets minimal attention in the field of SA. The reason for that is that the Sinhala language is considered a morphologically rich but under-resourced language. YouTube is one of the most popular social media platforms with more than 2 billion users. It is also one of the platforms that contains a vast amount of text data. In the realm of SA, YouTube serves as an excellent source of such data. Understanding viewers' feelings and opinions about YouTube content will provide valuable insights to improve the quality and overall viewer experience of their future videos. In this study, 5000 amount of preprocessed comments were used from YouTube videos that impart knowledge to society through humor. That comment list was labeled as \u201cSatisfied\u201d, \u201cUnSatisfied\u201d, and \u201cOther\u201d. For the labeling process, two colleagues with expertise in the Sinhala language were involved to ensure labeling accuracy. Cohen\u2019s Kappa was calculated using the labeled comment list to determine the level of agreement between two annotators. The result was a Cohen\u2019s Kappa value of 0.457, indicating a moderate level of agreement. According to the study by Feng Yang et al., the final comment list of 3,680 was obtained by adopting the labels agreed upon by both annotators."
DOI: 10.15156/bio/sh1080866.10fu
title: SH1080866.10FU

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/sh1080870.10fu
title: SH1080870.10FU

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/sh1080871.10fu
title: SH1080871.10FU

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/sh1080873.10fu
title: SH1080873.10FU

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/sh1080875.10fu
title: SH1080875.10FU

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/sh1080878.10fu
title: SH1080878.10FU

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/sh1080879.10fu
title: SH1080879.10FU

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.y774yw
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ensete ventricosum (Welw.) Cheesman",
 "Year 1000-2005"
 ]
}

 The dataset includes 305 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019056-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5wm8w
title: Occurrence Download

description: A dataset listing the 7584 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.4_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 7584 records were derived from 333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003239-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5m4xe
title: Occurrence Download

description: A dataset listing the 6603 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.7_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 6603 records were derived from 347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003249-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6es6b8
title: Occurrence Download

description: A dataset listing the 6785 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.10_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 6785 records were derived from 359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003242-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhehh9
title: Occurrence Download

description: A dataset listing the 6785 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.10_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 6785 records were derived from 359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003251-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ux7cm
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Licania heteromorpha Gleason)"
 ]
}

 The dataset includes 215 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003261-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gzyy4
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.31165 0.89582,-70.35203 0.89582,-70.35203 10.14795,-77.31165 10.14795,-77.31165 0.89582))",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyclopes didactylus (Linnaeus, 1758)"
 ]
}

 The dataset includes 58 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003265-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euwnva
title: Occurrence Download

description: A dataset containing 403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Carcharodon carcharias (Linnaeus, 1758)"
 ]
}

 The dataset includes 403 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003268-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z65g7z
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Lactarius indigo (Schwein.) Fr."
 ]
}

 The dataset includes 56 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003270-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15007892
title: Aberrant Response Patterns in the Latvian Grade 9 National Mathematics Exam
DOI: 10.5281/zenodo.15007893
title: Aberrant Response Patterns in the Latvian Grade 9 National Mathematics Exam
DOI: 10.15468/dl.yac3m9
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Amanita colombiana Tulloss, Ovrebo & Halling"
 ]
}

 The dataset includes 49 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003269-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.reuvcb
title: Occurrence Download

description: A dataset containing 5501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Leopardus pardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 5501 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003272-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92um8g
title: Occurrence Download

description: A dataset containing 212776 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium pilosella L."
 ]
}

 The dataset includes 212776 records from 746 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072253-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdmgxk
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrocoeloma eutheca (Stimpson, 1871)"
 ]
}

 The dataset includes 71 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092882-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d22alv
title: Occurrence Download

description: A dataset containing 898 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterostichus coracinus (Newman, 1838)"
 ]
}

 The dataset includes 898 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007290-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q69dmj
title: Occurrence Download

description: A dataset containing 384325 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Taiwan Breeding Bird Survey Data"
 ]
}

 The dataset includes 384325 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072233-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ubpqj
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrocoeloma subparallelum (Stimpson, 1860)"
 ]
}

 The dataset includes 53 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092885-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n25qd9
title: Occurrence Download

description: A dataset containing 6884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone mexicana L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6884 records from 311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072249-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddgusc
title: Occurrence Download

description: A dataset containing 16994 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON(((5.241862535476685 43.294803095683314,5.241862535476685 43.25493380778211,5.340739488601685 43.25493380778211,5.340739488601685 43.294803095683314,5.241862535476685 43.294803095683314)))"
 ]
}

 The dataset includes 16994 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125591-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gb728
title: Occurrence Download

description: A dataset containing 1101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 10.4526002234078",
 "DecimalLongitude is less than 10.4556597765922",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1101 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010308-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htvt9r
title: Occurrence Download

description: A dataset containing 6051 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caatinga Biome - RB - Rio de Janeiro Botanical Garden Herbarium Collection"
 ]
}

 The dataset includes 6051 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119539-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwsb6m
title: Occurrence Download

description: A dataset containing 2024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 11.9517812837613",
 "DecimalLongitude is less than 11.9548408369456",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2024 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013494-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.