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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vitis acerifolia x Vitis riparia x Vitis rupestris"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014494-250127130748423/datasets/export for details.
DOI: 10.15468/dl.dzzv8v
title: Occurrence Download

description: A dataset containing 3784 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Clematis montana Buch.-Ham. ex DC."
 ]
}

 The dataset includes 3784 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014491-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcy9wt
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia finkii (Boiss.) V.W.Steinm.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014493-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14807813
title: Europe Grocery Retail Market 2025 To 2034

description: Europe Grocery Retail Market Size, Trends and Insights By Product Type (Fresh Food, Frozen Food, Food Cupboard, Beverages, Cleaning & Household, Others), By Category (Packed, Unpacked), By Distribution Channel (Hypermarket Supermarket, Convenience Stores, Online Stores, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the Europe Grocery Retail Market is expected to record a CAGR of 3.1% from 2025 to 2035. In 2025, the market size is projected to reach a valuation of USD 3,256.1 Billion. By 2035, the valuation is anticipated to reach USD 4,285.6 Billion.

The Europe grocery retail market encompasses the buying and selling of food and household goods through various retail channels across the European continent. It comprises a diverse array of retailers, including supermarkets, hypermarkets, convenience stores, and online platforms, catering to the needs and preferences of a broad consumer base.

With a highly competitive landscape, dominated by both domestic and international players, the market is characterized by innovation, price competition, and evolving consumer trends. Key factors influencing the market dynamics include changing lifestyles, technological advancements, regulatory frameworks, and shifting consumer preferences towards health, sustainability, convenience, and value.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51412
DOI: 10.5281/zenodo.14807814
title: Europe Grocery Retail Market 2025 To 2034

description: Europe Grocery Retail Market Size, Trends and Insights By Product Type (Fresh Food, Frozen Food, Food Cupboard, Beverages, Cleaning & Household, Others), By Category (Packed, Unpacked), By Distribution Channel (Hypermarket Supermarket, Convenience Stores, Online Stores, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the Europe Grocery Retail Market is expected to record a CAGR of 3.1% from 2025 to 2035. In 2025, the market size is projected to reach a valuation of USD 3,256.1 Billion. By 2035, the valuation is anticipated to reach USD 4,285.6 Billion.

The Europe grocery retail market encompasses the buying and selling of food and household goods through various retail channels across the European continent. It comprises a diverse array of retailers, including supermarkets, hypermarkets, convenience stores, and online platforms, catering to the needs and preferences of a broad consumer base.

With a highly competitive landscape, dominated by both domestic and international players, the market is characterized by innovation, price competition, and evolving consumer trends. Key factors influencing the market dynamics include changing lifestyles, technological advancements, regulatory frameworks, and shifting consumer preferences towards health, sustainability, convenience, and value.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51412
DOI: 10.15468/dl.tad9ff
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia macvaughii Carvajal & Lomelí)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014495-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57pq88
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vitis riparia x Vitis rupestris x Vitis vinifera"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014496-250127130748423/datasets/export for details.
DOI: 10.15468/dl.e8v836
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia pulcherrima Willd. ex Klotzsch)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 420 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014497-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksnq3r
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Geometry MULTIPOLYGON (((142.36 -29.01, 142.36 -29.39, 142.74 -29.39, 142.74 -29.01, 142.36 -29.01)))"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014499-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7mp4z
title: Occurrence Download

description: A dataset containing 1038 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Livistona chinensis (Jacq.) R.Br. ex Mart."
 ]
}

 The dataset includes 1038 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014498-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ff4hdf
title: Occurrence Download

description: A dataset containing 183935 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachemys scripta (Thunberg In Schoepff, 1792)"
 ]
}

 The dataset includes 183935 records from 1069 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014466-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n45u5e
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia schlechtendalii Boiss.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 234 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014500-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvv2x4
title: Occurrence Download

description: A dataset containing 2682658 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxyura jamaicensis (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 2682658 records from 404 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014450-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tuau3a
title: Occurrence Download

description: A dataset containing 546 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor chac (Savage, 1987)"
 ]
}

 The dataset includes 546 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187775-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3j78g
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "TaxonKey is Viverricula indica (É.Geoffroy Saint-Hilaire, 1803)",
 "Year 1000-2023"
 ]
}

 The dataset includes 574 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0274853-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwgq3h
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Marlierea racemosa (Vell.) Kiaersk."
 ]
}

 The dataset includes 111 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187808-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3f4d5p
title: Occurrence Download

description: A dataset containing 2650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-99.28297 31.03601,-58.00148 31.03601,-58.00148 50.14553,-99.28297 50.14553,-99.28297 31.03601))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus rubra L."
 ]
}

 The dataset includes 2650 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187840-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49usn6
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Peces asociados a raíces de manglar en el PN Morrocoy, Venezuela"
 ]
}

 The dataset includes 279 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0274849-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zhk8s
title: Occurrence Download

description: A dataset containing 5212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-123 38,-121.5 38,-121.5 39,-123 39,-123 38))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chaetura vauxi (J.K.Townsend, 1839)"
 ]
}

 The dataset includes 5212 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007300-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wf4yaa
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Peces de arrecifes coralinos de Isla Larga y Alcatraz, PN San Esteban, Venezuela"
 ]
}

 The dataset includes 154 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0274856-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8ph3g
title: Occurrence Download

description: A dataset containing 136936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is June",
 "OccurrenceStatus is Present",
 "Year 2015-2022"
 ]
}

 The dataset includes 136936 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187834-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrdntj
title: Occurrence Download

description: A dataset containing 19582992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Occurrence evidence, Material sample)",
 "Continent is South America",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 19582992 records from 1346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0274870-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0179778.10fu
title: SH0179778.10FU

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/sh0179779.10fu
title: SH0179779.10FU

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/sh0179780.10fu
title: SH0179780.10FU

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/sh0179781.10fu
title: SH0179781.10FU

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/sh0179782.10fu
title: SH0179782.10FU

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/sh0179783.10fu
title: SH0179783.10FU

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/sh0179784.10fu
title: SH0179784.10FU

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/sh0179785.10fu
title: SH0179785.10FU

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.