cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5wpp6t
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scutellaria rehderiana Diels"
 ]
}

 The dataset includes 146 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121806-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11516575
title: PHRASEOLOGICAL UNITS IN LINGUISTICS STUDY AND CLASSIFICATION
DOI: 10.5281/zenodo.11516576
title: PHRASEOLOGICAL UNITS IN LINGUISTICS STUDY AND CLASSIFICATION
DOI: 10.15468/dl.prmpuz
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryozoa",
 "DatasetKey is Manscape",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 122 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220033-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6tc4f
title: Occurrence Download

description: A dataset containing 3181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Culicidae",
 "Country is Madagascar"
 ]
}

 The dataset includes 3181 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027828-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8h9v2s
title: Occurrence Download

description: A dataset containing 7752 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anodorhynchus hyacinthinus (Latham, 1790)"
 ]
}

 The dataset includes 7752 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059562-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x237hp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acyonidae",
 "DecimalLongitude is greater than or equal to -179",
 "DecimalLongitude is less than or equal to -12",
 "DecimalLatitude is greater than or equal to -56",
 "DecimalLatitude is less than or equal to 84"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098725-230530130749713/datasets/export for details.
DOI: 10.15468/dl.w2u63h
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herpestidae",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068532-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8q42d2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryozoa",
 "DatasetKey is RHS monitoring of native and naturalised plants and animals at its gardens and surrounding areas",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220034-230224095556074/datasets/export for details.
DOI: 10.15468/dl.sm4fzt
title: Occurrence Download

description: A dataset containing 126189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalus Linnaeus, 1758"
 ]
}

 The dataset includes 126189 records from 276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015204-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1401349.10fu
title: SH1401349.10FU

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/sh1401351.10fu
title: SH1401351.10FU

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/sh1401352.10fu
title: SH1401352.10FU

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/sh1401355.10fu
title: SH1401355.10FU

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/sh1401356.10fu
title: SH1401356.10FU

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.5saqb8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"PAK.7.5_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006134-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1401358.10fu
title: SH1401358.10FU

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/sh1401359.10fu
title: SH1401359.10FU

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/sh1401362.10fu
title: SH1401362.10FU

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: 10.5281/zenodo.18671252
title: CARIOUS AND NON-CARIOUS DISEASES OF THE ORAL CAVITY

description: Carious and non-carious diseases of the oral cavity are among the most common dental conditions affecting individuals of all age groups. Dental caries is a multifactorial infectious disease caused by the interaction of cariogenic microorganisms, fermentable carbohydrates, host susceptibility, and time, leading to progressive demineralization and destruction of hard dental tissues. In contrast, non-carious lesions are not associated with bacterial infection and include conditions such as dental erosion, abrasion, attrition, enamel hypoplasia, and fluorosis, which arise from mechanical, chemical, developmental, or systemic factors. Although their etiologies differ, both types of lesions may cause structural damage, functional impairment, tooth sensitivity, and aesthetic concerns. Early diagnosis, preventive strategies, and patient education play a crucial role in reducing the prevalence and complications of these conditions. A comprehensive understanding of their clinical features and risk factors is essential for effective management and long-term oral health preservation.
DOI: 10.5281/zenodo.18671251
title: CARIOUS AND NON-CARIOUS DISEASES OF THE ORAL CAVITY

description: Carious and non-carious diseases of the oral cavity are among the most common dental conditions affecting individuals of all age groups. Dental caries is a multifactorial infectious disease caused by the interaction of cariogenic microorganisms, fermentable carbohydrates, host susceptibility, and time, leading to progressive demineralization and destruction of hard dental tissues. In contrast, non-carious lesions are not associated with bacterial infection and include conditions such as dental erosion, abrasion, attrition, enamel hypoplasia, and fluorosis, which arise from mechanical, chemical, developmental, or systemic factors. Although their etiologies differ, both types of lesions may cause structural damage, functional impairment, tooth sensitivity, and aesthetic concerns. Early diagnosis, preventive strategies, and patient education play a crucial role in reducing the prevalence and complications of these conditions. A comprehensive understanding of their clinical features and risk factors is essential for effective management and long-term oral health preservation.
DOI: 10.6084/m9.figshare.29155679.v2
title: Exercice corrigé : Test d’hypothèse d'une loi exponentielle

description: Cette feuille représente un exercice corrigé sur le test de rapport de vraisemblance d'une variable qui suit une loi exponentielle.
DOI: 10.3886/e230381
title: Replication package for: "Colonial Legacy and Land Market Formality"

description: We study the role of Dutch colonial institutions on urban development for the megacity of Jakarta, Indonesia. Using historical maps of Dutch settlements and a rich granular database, we implement a boundary discontinuity design comparing locations on either side of Dutch boundaries. We find that historical Dutch areas today have significantly lower parcel density, are more likely to have formally registered parcels, and have more regular parcel layout, pointing to the importance of planning and cadastral mapping. Dutch settlements are also more likely to appear formal, as per a photographic index that ranks the appearance of neighborhoods. We highlight the role of land market institutions over alternative channels, such as direct Dutch investments or natural advantage.
<br>
<br>
DOI: 10.3886/e230381v1
title: Replication package for: "Colonial Legacy and Land Market Formality"

description: We study the role of Dutch colonial institutions on urban development for the megacity of Jakarta, Indonesia. Using historical maps of Dutch settlements and a rich granular database, we implement a boundary discontinuity design comparing locations on either side of Dutch boundaries. We find that historical Dutch areas today have significantly lower parcel density, are more likely to have formally registered parcels, and have more regular parcel layout, pointing to the importance of planning and cadastral mapping. Dutch settlements are also more likely to appear formal, as per a photographic index that ranks the appearance of neighborhoods. We highlight the role of land market institutions over alternative channels, such as direct Dutch investments or natural advantage.
<br>
<br>
DOI: 10.15468/dl.kk84k7
title: Occurrence Download

description: A dataset listing the 1139 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is French Guiana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Formicidae"
 ]
}

 The dataset's 1139 records were derived from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024435-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hb8wu7
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "CollectionCode is LEB",
 "Geometry POLYGON((-7.94278 41.39739,-4.43077 41.39739,-4.43077 42.80364,-7.94278 42.80364,-7.94278 41.39739))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024475-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cc7rc8
title: Occurrence Download

description: A dataset containing 401 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 5219173 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 5219173 OR CAST(occurrence.kingdomkey AS INTEGER) = 5219173 OR CAST(occurrence.phylumkey AS INTEGER) = 5219173 OR CAST(occurrence.classkey AS INTEGER) = 5219173 OR CAST(occurrence.orderkey AS INTEGER) = 5219173 OR CAST(occurrence.familykey AS INTEGER) = 5219173 OR CAST(occurrence.genuskey AS INTEGER) = 5219173 OR CAST(occurrence.specieskey AS INTEGER) = 5219173)
 AND (occurrence."year" &gt;= 2023 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 401 records were derived from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024432-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57e8uz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corvus macrorhynchos",
 "Country is United Arab Emirates",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024476-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7278510
title: Indian Art Music Raga Recognition Dataset (audio)

description: The Rāga Recognition Datasets (audio) comprise two sizable datasets, one for each music tradition: the Carnatic Music Dataset (CMD) and the Hindustani Music Dataset (HMD). This repository contains audio files that complement the features provided in the Rāga Recognition (features) dataset. As the audio files are copyrighted, they must be requested through this repository.