cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30304178.v1
title: Spatiotemporal characteristics of meteorological and hydrological droughts across Europe

description: Amid ongoing global warming and growing water resource pressures, droughts have intensified in frequency and severity across Europe. Using ERA5 reanalysis data (1970–2024), we assessed four drought indices—meteorological (SPI, SPEI) and hydrological (SRI, RZI)—at 3-, 6-, and 12-month scales. Spatiotemporal dynamics were evaluated through trend analysis (Mann–Kendall), persistence assessment (Hurst exponent), abrupt change detection (mutation test), spatial pattern metrics (Fragstats), and inter-index correlation. Results show that hydrological droughts exhibited stronger trends and persistence than meteorological droughts. Significant intensification emerged in Western, Eastern, and Southern Europe, with SRI and RZI affecting nearly 700 × 10⁴ km². Breakpoints were detected in 1974 for meteorological and 1993–1994 for hydrological indices. Landscape analysis indicated increased patch numbers, higher spatial complexity, and aggregation, particularly for hydrological indices. Inter-index correlations were high at the 12-month scale (|<i>R</i>| &gt; 0.6) but declined (~0.3) at the 3-month scale, revealing divergence between meteorological and hydrological droughts. These findings advance understanding of drought evolution and underlying climate mechanisms, providing scientific support for monitoring, early warning, and adaptive water management strategies in Europe.
DOI: 10.15468/dl.tc5h5b
title: Occurrence Download

description: A dataset containing 105945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 105945 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060401-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17291804
title: Global Motor Starters Market

description: Motor Starters Market Size, Trends and Insights By Type (Direct-On-Line (DOL), Star–Delta Starters, Soft Starters, Reversing Starters, Autotransformer Starters, Hybrid Starters, Other Specialised Starters), By End-User Industry (Industrial Manufacturing, Oil & Gas, Mining & Metals, Power Generation & Utilities, Water & Wastewater Treatment, Chemical & Petrochemical, Pulp & Paper, Food & Beverage, Commercial Buildings, Residential Applications), By Distribution Channel (Original Equipment Manufacturer, Aftermarket, Direct Sales, Distributor), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the Motor Starters Market conducted by the CMI Team, the global Motor Starters Market is expected to record a CAGR of 5.8% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 7.8 Billion. By 2034, the valuation is anticipated to reach USD 12.8 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=74615
DOI: 10.5281/zenodo.17291805
title: Global Motor Starters Market

description: Motor Starters Market Size, Trends and Insights By Type (Direct-On-Line (DOL), Star–Delta Starters, Soft Starters, Reversing Starters, Autotransformer Starters, Hybrid Starters, Other Specialised Starters), By End-User Industry (Industrial Manufacturing, Oil & Gas, Mining & Metals, Power Generation & Utilities, Water & Wastewater Treatment, Chemical & Petrochemical, Pulp & Paper, Food & Beverage, Commercial Buildings, Residential Applications), By Distribution Channel (Original Equipment Manufacturer, Aftermarket, Direct Sales, Distributor), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the Motor Starters Market conducted by the CMI Team, the global Motor Starters Market is expected to record a CAGR of 5.8% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 7.8 Billion. By 2034, the valuation is anticipated to reach USD 12.8 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=74615
DOI: 10.15468/dl.83s5zr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Columbiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-90 -90,-60 -90,-60 -60,-90 -60,-90 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060445-250920141307145/datasets/export for details.
DOI: 10.15468/dl.zsms3f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Podicipediformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 -30,90 -30,90 0,60 0,60 -30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060446-250920141307145/datasets/export for details.
DOI: 10.15468/dl.ymtfak
title: Occurrence Download

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

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060450-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8kkya
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deutzia calycosa"
 ]
}

 The dataset includes 360 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060447-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egwgy7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scapharca troscheli",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060452-250920141307145/datasets/export for details.
DOI: 10.15468/dl.yfg6g7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Columbiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-60 -90,-30 -90,-30 -60,-60 -60,-60 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060451-250920141307145/datasets/export for details.
DOI: 10.15468/dl.ywwxa9
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Maackia australis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060448-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktbxps
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Columbiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 -90,0 -90,0 -60,-30 -60,-30 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060453-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.30464693
title: Phylogenetic tree of PBS linker proteins

description: Phylogenetic tree of PBS linker proteins from <i>Neopyropia</i><i> yezoensis</i> and eight other red algal species
DOI: 10.6084/m9.figshare.30464693.v1
title: Phylogenetic tree of PBS linker proteins

description: Phylogenetic tree of PBS linker proteins from <i>Neopyropia</i><i> yezoensis</i> and eight other red algal species
DOI: 10.15468/dl.hrhek6
title: Occurrence Download

description: A dataset containing 67393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pycnonotus sinensis (Gmelin, 1789)"
 ]
}

 The dataset includes 67393 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029924-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mg9tsm
title: Occurrence Download

description: A dataset containing 44227 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données piscicoles et astacicoles des cours d'eau de France métropolitaine bancarisées dans ASPE (OFB) - Données piscicoles acquises selon la méthode des indices d'abondance \"anguille\" - ASPE - OFB"
 ]
}

 The dataset includes 44227 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029925-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yau4h
title: Occurrence Download

description: A dataset containing 181030 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophrys apifera Huds."
 ]
}

 The dataset includes 181030 records from 1403 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029895-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3h294n
title: Occurrence Download

description: A dataset containing 5053 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Didymodon acutus (Brid.) K.Saito"
 ]
}

 The dataset includes 5053 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029926-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/ljltgv
title: Data set associated with the master's thesis “Extraction and hydrolysis in an automated in-line reactor as a technology for the valuation of cambuci (Campomanesia phaea Berg.) PEEL”

description: The dataset contains raw experimental data from the master's thesis "EXTRACTION AND HYDROLYSIS IN AN AUTOMATED IN-LINE REACTOR AS A TECHNOLOGY FOR THE VALUATION OF CAMBUCI (Campomanesia phaea Berg.) PEEL"
DOI: 10.15468/dl.r8em85
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vespa soror Buysson, 1905)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 297 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029927-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5je9ck
title: Occurrence Download

description: A dataset containing 469162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "TaxonKey is Psittacula krameri (Scopoli, 1769)",
 "Year 1965-2024"
 ]
}

 The dataset includes 469162 records from 1088 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029915-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1114606.10fu
title: SH1114606.10FU

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/sh1114609.10fu
title: SH1114609.10FU

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/sh1114610.10fu
title: SH1114610.10FU

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/sh1114615.10fu
title: SH1114615.10FU

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/sh1114618.10fu
title: SH1114618.10FU

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/sh1114620.10fu
title: SH1114620.10FU

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/sh1114621.10fu
title: SH1114621.10FU

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/sh1114623.10fu
title: SH1114623.10FU

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/sh1114624.10fu
title: SH1114624.10FU

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.