cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3khspy
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Micromeria microphylla (d'Urv.) Benth., Micromeria microphylla var. villosa Benth., Thymus microphyllus d'Urv., Micromeria cypria var. villosissima H.Lindb., Micromeria knochei Sennen & Bianor, Micromeria rodriguezii Freyn & Janka, Micromeria cypria Kotschy, Satureja teneriffae Willd. ex Link, Micromeria graeca var. pauciflora Vis., Micromeria microphylla var. glabriuscula Benth., Clinopodium microphyllum (d'Urv.) Kuntze, Satureja microphylla (d'Urv.) Guss., Micromeria nervosa subsp. rodriguezii (Freyn & Janka) Nyman, Micromeria microphylla subsp. rodriguezii (Freyn & Janka) Romo, Micromeria filiformis subsp. rodriguezii (Freyn & Janka) Bonafè, Micromeria biflora var. rodriguezii (Freyn & Janka) Knoche, Satureja cordata subsp. rodriguezii (Freyn & Janka) O.Bolòs & Vigo, Satureja rodriguezii (Freyn & Janka) Rivas Mart., M.J.Costa & Loidi, Satureja microphylla subsp. rodriguezii (Freyn & Janka) O.Bolòs & Vigo, Satureja cypria (Kotschy) Prain, Satureja graeca var. pauciflora (Vis.) Briq.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 234 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003995-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.485qvs
title: Occurrence Download

description: A dataset containing 3002 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coffea canephora Pierre ex A.Froehner"
 ]
}

 The dataset includes 3002 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003996-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9afm6
title: Occurrence Download

description: A dataset containing 4447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Hydrocoloeus minutus (Pallas, 1776)",
 "Year 2019-2024"
 ]
}

 The dataset includes 4447 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003997-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vezj2v
title: Occurrence Download

description: A dataset containing 6001 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Canthon virens (Mannerheim, 1828), Canthidium puncticolle Harold, 1867, Attavicinus monstrosus (Bates, 1887), Ateuchus viridimicans (Boucomont, 1935), Ateuchus rodriguezi (Preudhomme de Borre, 1886), Ateuchus carcavalloi Vulcano, Pereira & Martinez, 1976, Ateuchus illaesus (Harold, 1868), Anomiopus bonariensis (Bruch, 1925))"
 ]
}

 The dataset includes 6001 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003998-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukvz67
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Coccinella septempunctata Linnaeus, 1758"
 ]
}

 The dataset includes 301 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003999-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14234090
title: Global Luxury Food Market 2024 To 2033

description: Luxury Food Market Size, Trends and Insights By Type (Vegetarian Food, Poultry, Pork, Meat, Seafood, Others), By Distribution Channel (Online Retailers, Specialty Stores, Supermarkets and Hypermarkets, Gourmet Food Stores, Hotel and Restaurant Supply, Duty-Free Shops, Direct Sales), By End-User (Small Food Chains, High-End Restaurants), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033

Reports Description

The CMI Team’s most recent market research predicts that from 2024 to 2033, the global market for luxury foods will grow at a CAGR of 17.45%. In 2024, the market size is projected to reach a valuation of USD 194.1 Billion. By 2033, the valuation is anticipated to reach USD 702.69 Billion.

The Luxury Food market has experienced an increase in the use of on-demand delivery services and an uplift in the demand for luxury dining services. However, one transition that has shifted drastically is eating habits, which has greatly accelerated Luxury Food and delivery services.

According to a National Restaurant Association survey, as the convenience and speed of online and app-based ordering in other industries continue to influence consumer habits, nearly 60% of restaurant visits are now off-premises in all forms, including drive-thru, takeaway, and delivery.

Customers are especially interested in consumer-facing solutions like drive-thru upgrades, order accuracy tracking, and seamless mobile ordering. Key areas for growth include: 92% of consumers use drive-thru at least once a month., 34% of consumers utilize delivery more often., 79% of consumers use restaurant delivery, and 53% use third-party) at least once a month.

DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=57541
DOI: 10.5281/zenodo.14234091
title: Global Luxury Food Market 2024 To 2033

description: Luxury Food Market Size, Trends and Insights By Type (Vegetarian Food, Poultry, Pork, Meat, Seafood, Others), By Distribution Channel (Online Retailers, Specialty Stores, Supermarkets and Hypermarkets, Gourmet Food Stores, Hotel and Restaurant Supply, Duty-Free Shops, Direct Sales), By End-User (Small Food Chains, High-End Restaurants), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033

Reports Description

The CMI Team’s most recent market research predicts that from 2024 to 2033, the global market for luxury foods will grow at a CAGR of 17.45%. In 2024, the market size is projected to reach a valuation of USD 194.1 Billion. By 2033, the valuation is anticipated to reach USD 702.69 Billion.

The Luxury Food market has experienced an increase in the use of on-demand delivery services and an uplift in the demand for luxury dining services. However, one transition that has shifted drastically is eating habits, which has greatly accelerated Luxury Food and delivery services.

According to a National Restaurant Association survey, as the convenience and speed of online and app-based ordering in other industries continue to influence consumer habits, nearly 60% of restaurant visits are now off-premises in all forms, including drive-thru, takeaway, and delivery.

Customers are especially interested in consumer-facing solutions like drive-thru upgrades, order accuracy tracking, and seamless mobile ordering. Key areas for growth include: 92% of consumers use drive-thru at least once a month., 34% of consumers utilize delivery more often., 79% of consumers use restaurant delivery, and 53% use third-party) at least once a month.

DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=57541
DOI: 10.15468/dl.ynv8hm
title: Occurrence Download

description: A dataset containing 11320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Hydroprogne caspia (Pallas, 1770)",
 "Year 2019-2024"
 ]
}

 The dataset includes 11320 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004000-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsrft4
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Moehringia bavarica (L.) Gren., Arenaria ponae Rchb., Arenaria baldensis Rchb., Moehringia malyi Halácsy, Arenaria baldensis Rchb. ex Nyman, Arenaria bavarica L., Moehringia glaucescens Neilr., Moehringia ponae (Rchb.) Fenzl, Sabulina ponae (Rchb.) Rchb., Alsine bavarica (L.) Crantz, Alsinanthus bavaricus (L.) Desv.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004002-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98d2dv
title: Occurrence Download

description: A dataset containing 6768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Larus argentatus Pontoppidan, 1763",
 "Year 2019-2024"
 ]
}

 The dataset includes 6768 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004001-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9gq5p
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Muehlenbeckia astonii Petrie"
 ]
}

 The dataset includes 264 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004003-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6b2gj
title: Occurrence Download

description: A dataset containing 10122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Larus audouinii Payraudeau, 1826",
 "Year 2019-2024"
 ]
}

 The dataset includes 10122 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004004-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sepd3e
title: Occurrence Download

description: A dataset containing 199693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Chroicocephalus ridibundus (Linnaeus, 1766)",
 "Year 2019-2024"
 ]
}

 The dataset includes 199693 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003992-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27924105
title: TRPM4 overexpression efficiency

description: TRPM4 overexpression efficiency
DOI: 10.6084/m9.figshare.27924105.v1
title: TRPM4 overexpression efficiency

description: TRPM4 overexpression efficiency
DOI: 10.15468/dl.g7nkts
title: Occurrence Download

description: A dataset containing 11708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Muscari botryoides (L.) Mill., Botryanthus vulgaris Kunth, Muscari botryoides f. candicum Voss, Muscari carpaticum Racib., Muscari hymenophorum Heldr., Muscari hymenophorum Heldr. ex Boiss., Muscari pocuticum Zapal., Scilla inflata Salisb., Muscari pocoticum Zapa., 1906, Muscari botryoides var. bifolium Pancic, Muscari alpinum Szafer, Botryanthus conicus Jord. & Fourr., Muscari inodorum Montandon, Botryanthus alpestris Jord. & Fourr., Muscari lelievrei Boreau, Hyacinthus botryoides L., Botryanthus heldreichii Jord. & Fourr., Muscari strangwaynsii Ten., 1837, Botryanthus festinus Jord. & Fourr., Muscari longifolium Rigo, Botryanthus kerneri Marches., Botryanthus boraeanus Jord. & Fourr., Eubotrys arvensis Raf., Muscari botryoides subsp. hungaricum Priszter, Muscari transsilvanicum Schur, Botryanthus candidus Jord. & Fourr., Muscari motelayi Foucaud, Muscari polyphyllum Schur, Muscari alpinum Szafer ex Racib., Botryanthus compactus Jord. & Fourr., Muscari botryoides subsp. botryoides, Muscari kerneri var. lacteiflorum Borbás, Botryanthus heldreichii (Boiss.) Regel, 1863, Botryanthus lelievrei (Boreau) Jord. & Fourr., Muscari botryoides var. lelievrei (Boreau) Baker, Botryanthus lelievrei (Boreau) Nyman, 1882, Muscari botryoides subsp. lelievrei (Boreau) K.Richt., Muscari botryoides var. lelievrei (Boreau) P.Fourn., 1935, Muscari racemosum subsp. lelievrei (Boreau) Douin, Muscari racemosum subsp. botryoides (L.) Bonnier & Layens, Botryphile botryoides (L.) Salisb., Muscari botryoides var. longifolium (Rigo) Pamp., Muscari botryoides subsp. longifolium (Rigo) Garbari, Botryanthus vulgaris var. kerneri (Marches.) Nyman, Muscari botryoides subsp. kerneri (Marches.) K.Richt., Muscari kerneri (Marches.) Soldano, Muscari botryoides subsp. transsilvanicum (Schur) Soó, Botryanthus vulgaris var. transsilvanicus (Schur) Nyman, Czekelia transsylvanica (Schur) Schur, Muscari racemosum var. motelayi (Foucaud) Douin, Muscari botryoides var. motelayi (Foucaud) P.Fourn., Muscari botryoides subsp. motelayi (Foucaud) Kerguélen, Botryanthus odorus var. compactus (Jord. & Fourr.) Nyman, Muscari botryoides subsp. lacteiflorum (Borbás) Soó)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 11708 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004005-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwbtnz
title: Occurrence Download

description: A dataset containing 181715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Laccaria Berk. & Broome, 1883"
 ]
}

 The dataset includes 181715 records from 599 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003925-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86vecn
title: Occurrence Download

description: A dataset containing 374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Plethodon fourchensis Duncan & Highton, 1979)"
 ]
}

 The dataset includes 374 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018142-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0216424.10fu
title: SH0216424.10FU

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/sh0216425.10fu
title: SH0216425.10FU

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/sh0216426.10fu
title: SH0216426.10FU

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/sh0216427.10fu
title: SH0216427.10FU

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/sh0216428.10fu
title: SH0216428.10FU

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/sh0216429.10fu
title: SH0216429.10FU

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/sh0216430.10fu
title: SH0216430.10FU

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.