cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ubxq9f
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium peregrinum Thell. ex Druce"
 ]
}

 The dataset includes 64 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152022-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/petgf1
title: REDU_PAPER_EXTRACTION AND PURIFICATION.tab

description: The dataset contains raw experimental data from the published article "Simple procedure for the simultaneous extraction and purification of anthocyanins using a jabuticaba byproduct biosorbent"
DOI: 10.25824/redu/fgwvee
title: REDU_PAPER_REACTOR UNITARY.tab

description: The dataset contains raw experimental data from the published article "Semi-continuous flow-through hydrothermal pretreatment for the recovery of bioproducts from jabuticaba (Myrciaria cauliflora) agro-industrial by-product"
DOI: 10.15468/dl.ccaay9
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paragalago orinus (Lawrence & Washburn, 1936)"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142988-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/8sr656
title: REDU_PAPER_REACTOR SEQUENTIAL.tab

description: The dataset contains raw experimental data from the published article "Hydrothermal pretreatment based on semi-continuous flow-through sequential reactors for the recovery of bioproducts from jabuticaba (Myrciaria cauliflora) peel"
DOI: 10.15468/dl.b68fty
title: Occurrence Download

description: A dataset containing 9640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Circaea ×intermedia Ehrh.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9640 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152016-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6pfev
title: Occurrence Download

description: A dataset containing 2663 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhincodon typus Smith, 1828"
 ]
}

 The dataset includes 2663 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188390-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/bchn4g
title: REDU_PAPER_MICROWAVE.tab

description: The dataset contains raw experimental data from the published article "Optimization of a Microwave-Assisted Extraction Method for the Recovery of the Anthocyanins from Jabuticaba By-Products"
DOI: 10.25824/redu/hawq5u
title: Data set associated with the master's thesis “Hydrothermal pretreatment based on unitary and sequential semi-continuous flow reactor configurations for the recovery of jabuticaba peel bioproducts (Myrciaria cauliflora)”

description: The dataset contains raw experimental data from the master's thesis "Hydrothermal pretreatment based on unitary and sequential semi-continuous flow reactor configurations for the recovery of jabuticaba peel bioproducts (Myrciaria cauliflora)”, containing several experimental chapters that will have datasets added separately.
DOI: 10.25824/redu/qqzc7o
title: REDU_PAPER_ADSORPTION.xlsx

description: The dataset contains raw experimental data from the published article "Synthesis and Optimization of biosorbent using jabuticaba peel (Myrciaria cauliflora) for anthocyanin recovery through adsorption"
DOI: 10.15468/dl.2vxbtv
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Fossil, Specimen, Material citation, Material sample)",
 "Country is one of (Argentina, Uruguay, Antarctica, Brazil)",
 "Geometry POLYGON((-105.40702 62.09749,-107.25124 32.06543,-69.47104 0.48406,-59.55767 -18.39851,-95.49365 -74.95483,-5.65372 -78.1144,-37.25259 69.201,-49.02472 75.20409,-105.40702 62.09749))",
 "TaxonKey is Alcyonium haddoni Wright & Studer, 1889"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142973-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4x7bfm
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium pavlovii Al-Shehbaz & Mummenhoff"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152033-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qnrkx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Speleonectes tulumensis Yager, 1987"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137403-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fe5rv9
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hoplia communis Waterhouse, 1875",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 118 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188411-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7h253t
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium ×arisitense Coste & Soulié",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152034-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89xyud
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herminia tarsicrinalis (Knoch, 1782)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 208 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188389-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7uhzpr
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Antipathes grandis Verrill, 1928"
 ]
}

 The dataset includes 182 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137409-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9apxh
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nepenthes ampullaria Jack",
 "Year 1970-2022"
 ]
}

 The dataset includes 518 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142989-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcg3he
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium papilliferum (L.F.Hend.) A.Nelson & J.F.Macbr."
 ]
}

 The dataset includes 134 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152045-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j97tcd
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Macrourus whitsoni (Regan, 1913)"
 ]
}

 The dataset includes 152 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184594-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96d6u2
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physaria peninsularis (Wiggins) O'Kane & Al-Shehbaz"
 ]
}

 The dataset includes 52 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152036-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c29pwp
title: Occurrence Download

description: A dataset containing 3200026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-500.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Turdidae",
 "Year 2000-2020"
 ]
}

 The dataset includes 3200026 records from 681 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137446-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24431/rw1k9ht
title: Cormorant Oceanography Project: Biologging Data from Socotra Cormorants (Phalacrocorax nigrogularis), Saudi Arabia, 2023

description: Oceanographic sampling of the coastal ocean is often sparse in space and time and in situ observations are needed to understand the complex physical processes in this zone. 

This dataset is provided by the Cormorant Oceanography Project (https://www.osudashcams.com/), an interdisciplinary collaboration between oceanographers and seabird ecologists based at Oregon State University, and in partnership with collaborators globally. We are advancing biologging tag technologies for use with cormorant species to measure in situ oceanographic conditions. This also offers a unique opportunity to study the distribution and behaviors of cormorants relative to environmental conditions along their daily foraging paths. 

Our biologging tags include combinations of fast-response sensors to measure water temperature, conductivity, and pressure. Each tag contains an inertial measurement unit (IMU) to monitor acceleration and orientation, a GPS unit, triggered when a bird surfaces, provides locations for georeferencing measurements. The sensors collect large volumes of data that are transmitted and retrieved using two-way cellular communications. 

This dataset consists of GPS tracks, dive profiles, and sensor data from the Socotra cormorants (Phalacrocorax nigrogularis) tagged in Saudi Arabia. Socotra cormorants have a restricted range spanning the Arabian Gulf, the Gulf of Oman, and south into the Gulf of Aden.
DOI: 10.15156/bio/sh0168170.10fu
title: SH0168170.10FU

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/sh0168171.10fu
title: SH0168171.10FU

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/sh0168172.10fu
title: SH0168172.10FU

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/sh0168173.10fu
title: SH0168173.10FU

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/sh0168174.10fu
title: SH0168174.10FU

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/sh0168175.10fu
title: SH0168175.10FU

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/sh0168176.10fu
title: SH0168176.10FU

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/sh0168177.10fu
title: SH0168177.10FU

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.cxqzbm
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.398039 20.54532, 75.323037 20.539744, 75.249898 20.523154, 75.180436 20.495961, 75.11637399999999 20.458842, 75.059296 20.412715, 75.010609 20.358725, 74.97151100000001 20.298209, 74.942955 20.232662, 74.925634 20.163704, 74.91996 20.093036, 74.926058 20.022399, 74.94376099999999 19.953531, 74.97261899999999 19.888125, 75.01191300000001 19.827785, 75.060666 19.773992, 75.117677 19.728062, 75.181545 19.69112, 75.250703 19.664068, 75.32346 19.647568, 75.398039 19.642023, 75.472618 19.647568, 75.54537500000001 19.664068, 75.61453299999999 19.69112, 75.67840099999999 19.728062, 75.735412 19.773992, 75.784165 19.827785, 75.823459 19.888125, 75.852317 19.953531, 75.87002 20.022399, 75.87611800000001 20.093036, 75.87044400000001 20.163704, 75.853123 20.232662, 75.824567 20.298209, 75.78546900000001 20.358725, 75.73678200000001 20.412715, 75.679704 20.458842, 75.61564199999999 20.495961, 75.54618000000001 20.523154, 75.47304099999999 20.539744, 75.398039 20.54532))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001316-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.