cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1059012.10fu
title: SH1059012.10FU

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/sh1059013.10fu
title: SH1059013.10FU

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/sh1059014.10fu
title: SH1059014.10FU

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/sh1059015.10fu
title: SH1059015.10FU

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/sh1059017.10fu
title: SH1059017.10FU

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/sh1059021.10fu
title: SH1059021.10FU

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.4d2kcd
title: Occurrence Download

description: A dataset containing 51307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delia platura (Meigen, 1826)"
 ]
}

 The dataset includes 51307 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008514-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqd643
title: Occurrence Download

description: A dataset containing 35842 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heracleum sphondylium subsp. sibiricum (L.) Simonk.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 35842 records from 328 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008522-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gttktc
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larinus villosus Boheman, 1843",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 90 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008453-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dym9b
title: Occurrence Download

description: A dataset containing 4626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Herissantia crispa (L.) Brizicky)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 4626 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008454-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcb6rv
title: Occurrence Download

description: A dataset containing 14829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 14829 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008455-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14991859
title: Global Parking Vending Machine Market 2025 To 2034

description: Parking Vending Machine Market Size, Trends and Insights By Payment Method (Cash Payment, Credit/Debit Card Payment, Mobile Payment, Contactless Payment), By End-User Industry (Commercial, Residential, Transportation, Government, Hospitality, Others), By Type of Parking (On-Street Parking, Off-Street Parking, Automated Parking Systems, Others), By Technology (Coin-Operated Machines, Ticket Dispensing Machines, License Plate Recognition Systems, Pay-by-Plate Systems, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the current market research conducted by the CMI Team, the global Parking Vending Machine Market is expected to record a CAGR of 10.2% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 2,378.2 Million. By 2033, the valuation is anticipated to reach USD 5,700.2 Million.

The parking vending machine market encompasses the production and deployment of automated systems designed to facilitate parking payment transactions in various urban and commercial settings. These machines offer users convenient and efficient payment options, including cash, credit/debit cards, mobile payments, and contactless methods.

They play a crucial role in optimizing parking space utilization, reducing congestion, and enhancing overall traffic management in urban environments. With advancements in technology and increasing urbanization, the parking vending machine market continues to evolve, catering to the growing demand for seamless and sustainable parking solutions across diverse industries and geographic regions.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=50949
DOI: 10.5281/zenodo.14991860
title: Global Parking Vending Machine Market 2025 To 2034

description: Parking Vending Machine Market Size, Trends and Insights By Payment Method (Cash Payment, Credit/Debit Card Payment, Mobile Payment, Contactless Payment), By End-User Industry (Commercial, Residential, Transportation, Government, Hospitality, Others), By Type of Parking (On-Street Parking, Off-Street Parking, Automated Parking Systems, Others), By Technology (Coin-Operated Machines, Ticket Dispensing Machines, License Plate Recognition Systems, Pay-by-Plate Systems, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the current market research conducted by the CMI Team, the global Parking Vending Machine Market is expected to record a CAGR of 10.2% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 2,378.2 Million. By 2033, the valuation is anticipated to reach USD 5,700.2 Million.

The parking vending machine market encompasses the production and deployment of automated systems designed to facilitate parking payment transactions in various urban and commercial settings. These machines offer users convenient and efficient payment options, including cash, credit/debit cards, mobile payments, and contactless methods.

They play a crucial role in optimizing parking space utilization, reducing congestion, and enhancing overall traffic management in urban environments. With advancements in technology and increasing urbanization, the parking vending machine market continues to evolve, catering to the growing demand for seamless and sustainable parking solutions across diverse industries and geographic regions.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=50949
DOI: 10.5281/zenodo.14991852
title: Global Warehouse Robotics Market 2025 To 2034

description: Warehouse Robotics Market Size, Trends and Insights By Product Type (Fixed Robotics, Mobile Robotics), By Function (Pick & Place, Palletizing & Depalletizing, Transportation), By Application (E-commerce, Automotive, Food & Beverage), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

Global Warehouse Robotics Market is poised for substantial growth from 2024 to 2033, driven by the increasing adoption of automation and robotics in warehouse operations, the growing e-commerce industry, and the need for efficient order fulfillment processes.

Warehouse robotics systems encompassing fixed and mobile robotics solutions play a crucial role in optimizing warehouse logistics, improving inventory management, and enhancing operational efficiency.

The market is projected to exhibit a Compound Annual Growth Rate (CAGR) of approximately 12.5% during the forecast period, with the market size estimated at USD 5.80 Billion in 2024 and expected to reach USD 18.50 Billion by 2033.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51646
DOI: 10.5281/zenodo.14991853
title: Global Warehouse Robotics Market 2025 To 2034

description: Warehouse Robotics Market Size, Trends and Insights By Product Type (Fixed Robotics, Mobile Robotics), By Function (Pick & Place, Palletizing & Depalletizing, Transportation), By Application (E-commerce, Automotive, Food & Beverage), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

Global Warehouse Robotics Market is poised for substantial growth from 2024 to 2033, driven by the increasing adoption of automation and robotics in warehouse operations, the growing e-commerce industry, and the need for efficient order fulfillment processes.

Warehouse robotics systems encompassing fixed and mobile robotics solutions play a crucial role in optimizing warehouse logistics, improving inventory management, and enhancing operational efficiency.

The market is projected to exhibit a Compound Annual Growth Rate (CAGR) of approximately 12.5% during the forecast period, with the market size estimated at USD 5.80 Billion in 2024 and expected to reach USD 18.50 Billion by 2033.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51646
DOI: 10.15468/dl.d2tp44
title: Occurrence Download

description: A dataset containing 3976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Herniaria cinerea DC.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3976 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008456-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmjm4a
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytomus parvulus (Chevrolat, 1865)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 35 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008523-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qu9dns
title: Occurrence Download

description: A dataset containing 10597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Herniaria hirsuta L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 10597 records from 399 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008524-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14991867
title: Global Industrial Hydraulic Equipment Market 2025 To 2034

description: Industrial Hydraulic Equipment Market Size, Trends and Insights By Component (Motors, Pumps, Cylinders, Valves, Filters, Others), By End User (Aerospace, Agriculture, Automotive, Construction, Metal & Machinery Manufacturing, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

Global Industrial Hydraulic Equipment Market was valued at USD 37.5 Billion in 2024 and is expected to reach USD 52.6 Billion by 2033, at a CAGR of 5.7% during the forecast period 2024 – 2033.

Pumps, motors, cylinders, valves, hoses, and other hydraulic-powered gear and tools are all included in the category of industrial hydraulic equipment.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=50165
DOI: 10.5281/zenodo.14991868
title: Global Industrial Hydraulic Equipment Market 2025 To 2034

description: Industrial Hydraulic Equipment Market Size, Trends and Insights By Component (Motors, Pumps, Cylinders, Valves, Filters, Others), By End User (Aerospace, Agriculture, Automotive, Construction, Metal & Machinery Manufacturing, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

Global Industrial Hydraulic Equipment Market was valued at USD 37.5 Billion in 2024 and is expected to reach USD 52.6 Billion by 2033, at a CAGR of 5.7% during the forecast period 2024 – 2033.

Pumps, motors, cylinders, valves, hoses, and other hydraulic-powered gear and tools are all included in the category of industrial hydraulic equipment.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=50165
DOI: 10.15468/dl.4kuvp5
title: Occurrence Download

description: A dataset containing 583429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leucanthemum vulgare Lam.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 583429 records from 2882 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008452-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-2273
title: Seiatel' istiny = The sower of truth, vol. 18, no. 7 (July 1933)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.shg9yp
title: Occurrence Download

description: A dataset containing 1380 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apometzgeria pubescens (Schrank) Kuwah."
 ]
}

 The dataset includes 1380 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325311-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s65e7e
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cenococcum geophilum Fr.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "GadmGid is USA.1_1",
 "GadmGid is USA.11_1",
 "GadmGid is USA.25_1",
 "GadmGid is USA.41_1",
 "GadmGid is USA.34_1",
 "GadmGid is USA.43_1",
 "GadmGid is USA.18_1",
 "GadmGid is USA.47_1",
 "GadmGid is USA.49_1",
 "GadmGid is USA.15_1",
 "GadmGid is USA.19_1",
 "GadmGid is USA.4_1",
 "GadmGid is USA.26_1",
 "GadmGid is USA.14_1",
 "GadmGid is USA.36_1",
 "GadmGid is USA.39_1",
 "GadmGid is USA.21_1",
 "GadmGid is USA.16_1",
 "GadmGid is USA.8_1",
 "GadmGid is USA.31_1"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 46 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004920-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-13750
title: Put' = Voie = [The way], no. 49 (October-December 1935)

description: [description english/roman)] Irregular frequency
DOI: 10.15468/dl.h45xmw
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trypanosoma brucei Plimmer & Bradford, 1899"
 ]
}

 The dataset includes 182 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0327724-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive165.20241212.9.2
title: Actinomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165.20251217.10
title: Actinomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.