cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1053492.10fu
title: SH1053492.10FU

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/sh1053493.10fu
title: SH1053493.10FU

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/sh1053495.10fu
title: SH1053495.10FU

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/sh1053498.10fu
title: SH1053498.10FU

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/sh1053499.10fu
title: SH1053499.10FU

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/sh1053500.10fu
title: SH1053500.10FU

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/sh1053502.10fu
title: SH1053502.10FU

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/sh1053504.10fu
title: SH1053504.10FU

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/sh1053509.10fu
title: SH1053509.10FU

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.2cvywd
title: Occurrence Download

description: A dataset containing 2651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pheidole megacephala (Fabricius, 1793)",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 2651 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008845-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7usga
title: Occurrence Download

description: A dataset containing 1830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus carica L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1830 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008846-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14251791
title: Dataset para Estimação de Torque de Motores de Combustão Interna Flex-Fuel Utilizando Machine Learning

description: Dataset foi projetado para auxiliar na modelagem e estimação do torque de motores de combustão interna do tipo Flex Fuel utilizando técnicas de Machine Learning.
DOI: 10.5281/zenodo.14251790
title: Dataset para Estimação de Torque de Motores de Combustão Interna Flex-Fuel Utilizando Machine Learning

description: Dataset foi projetado para auxiliar na modelagem e estimação do torque de motores de combustão interna do tipo Flex Fuel utilizando técnicas de Machine Learning.
DOI: 10.5281/zenodo.14251828
title: Dataset para Estimação de Torque de Motores de Combustão Interna Flex-Fuel Utilizando Machine Learning

description: Dataset foi projetado para auxiliar na modelagem e estimação do torque de motores de combustão interna do tipo Flex Fuel utilizando técnicas de Machine Learning.
DOI: 10.15468/dl.4kvs59
title: Occurrence Download

description: A dataset containing 2651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pheidole megacephala (Fabricius, 1793)",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 2651 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008847-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pacawh
title: Occurrence Download

description: A dataset containing 502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus drupacea Thunb.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 502 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008848-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xe2fwn
title: Occurrence Download

description: A dataset containing 343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus elastica Roxb.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 343 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008849-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zzrj5
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bothrops punctatus (Garcia, 1896)",
 "Year 2000-2024"
 ]
}

 The dataset includes 73 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008850-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dacvgg
title: Occurrence Download

description: A dataset containing 1246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pheidole megacephala (Fabricius, 1793)",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 1246 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008851-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4vnf9
title: Occurrence Download

description: A dataset containing 656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus ingens (Miq.) Miq.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 656 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008852-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpddtu
title: Occurrence Download

description: A dataset containing 3062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus insipida Willd.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 3062 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008854-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arb25a
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pheidole megacephala (Fabricius, 1793)",
 "Country is Seychelles",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 180 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008855-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14251864
title: Dataset para Estimação de Torque de Motores de Combustão Interna Flex-Fuel

description: Dataset foi projetado para auxiliar na modelagem e estimação do torque de motores de combustão interna do tipo Flex-Fuel.
DOI: 10.5281/zenodo.14251865
title: Dataset para Estimação de Torque de Motores de Combustão Interna Flex-Fuel

description: Dataset foi projetado para auxiliar na modelagem e estimação do torque de motores de combustão interna do tipo Flex-Fuel.
DOI: 10.15468/dl.jrmvk9
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus lacor Buch.-Ham.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 112 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008856-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfqnpj
title: Occurrence Download

description: A dataset containing 866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus lutea Vahl",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 866 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008857-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13624641
title: Articles on 'Plastics and Soil' from 2019 onwards

description: Scientific articles on the topic of 'Plastics and Soil' retrieved from WoS (Clarivate) and Scopus (Elsevier) from 2019 onwards, with duplicates removed
description: **DOI**: Digital Object Identifier of the paper to which it refers


**Type**: Refers to the type of polymer(s) being studied, where '/' means 'also this'  and ''various' several were actually measured (from now on also for other columns)


**Soil**: Refers to the name of soil being used in the study


**Biota**: The living organisms present in the environment being studied, such as plants, animals, or microorganisms


**Co-contaminants**: Additional contaminants present in the study along with the primary polymer(s) being investigated


**Days**: The (maximum) duration of the experiment measured in days


**Max Degrad./%**: Maximum degradation percentage, indicating the highest percentage of the studied polymer that was degraded during the experiment under aerobic conditions ('*' indicates anaerobic conditions)


**pH**: The average measure of the pH of the environment in which the experiment is conducted


**Microplastics**: Refers to the study of microplastics, where '1' means detected and '2' studied in detail


**Temp**: Temperature (average) at which the experiment was conducted, measured in degrees Celsius


**Coordinates**: Geographic coordinates (latitude and longitude accurate to the seconds) indicating the location of the study site or sampling location
DOI: 10.5281/zenodo.13624642
title: Articles on 'Plastics and Soil' from 2019 onwards

description: Scientific articles on the topic of 'Plastics and Soil' retrieved from WoS (Clarivate) and Scopus (Elsevier) from 2019 onwards, with duplicates removed
description: **DOI**: Digital Object Identifier of the paper to which it refers


**Type**: Refers to the type of polymer(s) being studied, where '/' means 'also this'  and ''various' several were actually measured (from now on also for other columns)


**Soil**: Refers to the name of soil being used in the study


**Biota**: The living organisms present in the environment being studied, such as plants, animals, or microorganisms


**Co-contaminants**: Additional contaminants present in the study along with the primary polymer(s) being investigated


**Days**: The (maximum) duration of the experiment measured in days


**Max Degrad./%**: Maximum degradation percentage, indicating the highest percentage of the studied polymer that was degraded during the experiment under aerobic conditions ('*' indicates anaerobic conditions)


**pH**: The average measure of the pH of the environment in which the experiment is conducted


**Microplastics**: Refers to the study of microplastics, where '1' means detected and '2' studied in detail


**Temp**: Temperature (average) at which the experiment was conducted, measured in degrees Celsius


**Coordinates**: Geographic coordinates (latitude and longitude accurate to the seconds) indicating the location of the study site or sampling location
DOI: 10.15468/dl.kz7dte
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus lyrata Warb.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 145 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008858-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adqap6
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bothrops fonsecai Hoge & Belluomini, 1959",
 "Year 2000-2024"
 ]
}

 The dataset includes 33 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008859-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xhru8
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus macrophylla Pers.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 250 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008860-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysphvw
title: Occurrence Download

description: A dataset containing 1820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus microcarpa L.fil.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1820 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008861-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.