cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1093374.10fu
title: SH1093374.10FU

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/sh1093375.10fu
title: SH1093375.10FU

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/sh1093398.10fu
title: SH1093398.10FU

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/sh1093403.10fu
title: SH1093403.10FU

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/sh1093421.10fu
title: SH1093421.10FU

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/sh1093426.10fu
title: SH1093426.10FU

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: 10.34740/kaggle/dsv/14454163
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15156/bio/sh1093447.10fu
title: SH1093447.10FU

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: 10.17909/vw4j-ng36
title: my large doi test

description: Testing adding over 22k rows
DOI: 10.15468/dl.vbd37p
title: Occurrence Download

description: A dataset containing 3191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allocapnia vivipara (Claassen, 1924)"
 ]
}

 The dataset includes 3191 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023285-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bm8tcz
title: Occurrence Download

description: A dataset containing 438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alosa alabamae Jordan & Evermann, 1896",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 438 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023286-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjjb5x
title: Occurrence Download

description: A dataset containing 896 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.41_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnolia grandiflora L."
 ]
}

 The dataset includes 896 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023287-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p149fr54
title: Three-dimensional temperature model of the Great Basin, USA

description: As part of the periodic update of the geothermal energy assessments for the USA (e.g., last update by Williams and others, 2008), a new three-dimensional temperature map has been constructed for the Great Basin, USA. Williams and DeAngelo (2011) identified uncertainty in estimates of conductive heat flow near land surface as the largest contributor to uncertainty in previously published temperature maps. The new temperature maps incorporate new conductive heat flow estimates developed by DeAngelo and others (2023). Predicted temperatures at depth are compared with representative measurements (for conductively dominated conditions), showing good agreement under relatively simple uniform conditions. Inputs included radiogenic heat production for all layers of 1.89 μW/m3, effective bulk thermal conductivity of 2.7 W/m/°C for all rocks underlying sedimentary basins, and a previously published (Williams and DeAngelo, 2011) empirically driven estimate of increasing thermal conductivity with depth in sedimentary sequences. The resulting three-dimensional temperature model is presented in this data release.

Version 1.1 corrects a minor coding error for generation of the thermal profiles. For version 1.0, the code had the following error: thermal conductivity at the reference temperature (zero) was allowed to vary in equation (3) of the documentation, but thermal conductivity was held constant value of 2.7 in the computation of the coefficient “b” (see paragraph following equation (3)). The new 3D temperature model was re-verified using the procedure described in the manuscript (i.e., Fig 7 was reconstructed and checked to ensure no bias or regionalization). Files that were updated for version 1.1 end with '_v1_1.'
DOI: 10.15468/dl.8vpz4c
title: Occurrence Download

description: A dataset containing 19354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((84.52102 -45.01519,172.13053 -45.01519,172.13053 -9.95278,84.52102 -9.95278,84.52102 -45.01519))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus camaldulensis Denham"
 ]
}

 The dataset includes 19354 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023289-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7nmzp
title: Occurrence Download

description: A dataset containing 323049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is one of (FALSE)",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is one of (TRUE)",
 "Geometry POLYGON ((-89.93742035463433 35.2127606812217, -89.94856089115764 35.21231301641055, -89.95959377302364 35.21097434796138, -89.97041239646151 35.20875761159563, -89.98091224880382 35.20568422650609, -89.99099192748804 35.20178388633893, -90.00055412754442 35.197094269543285, -90.00950658763672 35.191660672021364, -90.01776298519978 35.18553556579175, -90.0252437717993 35.17877808811487, -90.031876940517 35.17145346621571, -90.0375987179247 35.16363238336724, -90.04235417404702 35.15539029266119, -90.04609774460572 35.14680668528776, -90.04879366078366 35.13796432056589, -90.05041628272348 35.12894842530873, -90.05095033397659 35.119845870372544, -90.050391035129 35.11074433242059, -90.0487441358382 35.101731449034375, -90.04602584551158 35.09289397532686, -90.04226266382828 35.084316950154, -90.03749111324852 35.0760828798865, -90.03175737655292 35.06827094749572, -90.02511684330983 35.060956254428184, -90.01763356996821 35.054209102398566, -90.00937965901785 35.04809432182347, -90.00043456334124 35.04267065315378, -89.99088432249944 35.037990186846685, -89.98082073824693 35.0340978671545, -89.97034049705495 35.03103106430193, -89.95954424783908 35.02881921898139, -89.94853564343374 35.027483562423804, -89.93742035463433 35.02703691460411, -89.92630506583491 35.027483562423804, -89.91529646142959 35.02881921898139, -89.9045002122137 35.03103106430193, -89.89401997102173 35.0340978671545, -89.88395638676923 35.037990186846685, -89.87440614592742 35.04267065315378, -89.86546105025081 35.04809432182347, -89.85720713930046 35.054209102398566, -89.84972386595884 35.060956254428184, -89.84308333271575 35.06827094749572, -89.83734959602015 35.0760828798865, -89.83257804544039 35.084316950154, -89.82881486375709 35.09289397532686, -89.82609657343046 35.101731449034375, -89.82444967413967 35.11074433242059, -89.82389037529208 35.119845870372544, -89.82442442654519 35.12894842530873, -89.82604704848501 35.13796432056589, -89.82874296466295 35.14680668528776, -89.83248653522165 35.15539029266119, -89.83724199134397 35.16363238336724, -89.84296376875167 35.17145346621571, -89.84959693746937 35.17877808811487, -89.85707772406889 35.18553556579175, -89.86533412163195 35.191660672021364, -89.87428658172425 35.197094269543285, -89.88384878178063 35.20178388633893, -89.89392846046485 35.20568422650609, -89.90442831280716 35.20875761159563, -89.91524693624503 35.21097434796138, -89.92627981811103 35.21231301641055, -89.93742035463433 35.2127606812217))",
 "Year is greater than or equal to 2008",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 323049 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023258-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14290504
title: The dataset used in the research "Author Bibliographic Coupling Analysis as an additional criterion for researcher name disambiguation initial approaches"

description: The dataset used in the research "Author Bibliographic Coupling Analysis as an additional criterion for researcher name disambiguation initial approaches" submitted to Scientometrics (Springer Nature)

Tab 1 - Appendix 1 - ABCA - Bibliographic coupling between all the names of authors analyzed

Tab 2 - Authors_Metadata - Metadata fields included: Institution, Department, Location, Identifiers, Top Journals, Published Names, Organizations, and Subject Categories

Tab 3 - Cited_Authors - Authors cited by each of the profiles analyzed
DOI: 10.5281/zenodo.14290505
title: The dataset used in the research "Author Bibliographic Coupling Analysis as an additional criterion for researcher name disambiguation initial approaches"

description: The dataset used in the research "Author Bibliographic Coupling Analysis as an additional criterion for researcher name disambiguation initial approaches" submitted to Scientometrics (Springer Nature)

Tab 1 - Appendix 1 - ABCA - Bibliographic coupling between all the names of authors analyzed

Tab 2 - Authors_Metadata - Metadata fields included: Institution, Department, Location, Identifiers, Top Journals, Published Names, Organizations, and Subject Categories

Tab 3 - Cited_Authors - Authors cited by each of the profiles analyzed
DOI: 10.15468/dl.e7m4a7
title: Occurrence Download

description: A dataset containing 119174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanargia galathea Linnaeus, 1758",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 119174 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023284-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14290464
title: XXX2
DOI: 10.5281/zenodo.14290465
title: XXX2
DOI: 10.15468/dl.52bjve
title: Occurrence Download

description: A dataset containing 3191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allocapnia vivipara (Claassen, 1924)"
 ]
}

 The dataset includes 3191 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023290-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgy847
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chilomycterus antillarum Jordan & Rutter, 1897",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 278 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023291-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2307066
title: Great Lakes Network 2006-2023 Large Rivers Water Quality Monitoring Data as of 2024-12-04

description: This data package was created 2024-12-04 07:43:29 by NPSTORET and includes selected project, location, and result data.

Data contained in Great Lakes Network NPSTORET back-end file (GLKNRVWQ_BE_20241204.ACCDB) were filtered to include:
Station:
- Include Trip QC And All Station Visit Results
Value Status:
- Accepted or Certified (exported as Final) or Final

The data package is organized into five data tables:
- Projects.csv - describes the purpose and background of the monitoring efforts
- Locations.csv - documents the attributes of the monitoring locations/stations
- Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping
- HUC.csv - enumerates the domain of allowed values for 8-digit and 12-digit hydrologic unit codes utilized by the Locations datatable
- Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results

Period of record for filtered data is 2006-04-11 to 2023-11-01.  This data package is a snapshot in time of one National Park Service project. The most current data for this project, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at:
https://www.waterqualitydata.us/data/Result/search?project=GLKNRVWQ
DOI: 10.15468/dl.jf45vy
title: Occurrence Download

description: A dataset containing 12745239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.41_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 12745239 records from 706 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023288-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hajq9x
title: Occurrence Download

description: A dataset containing 858 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arapaima gigas (Schinz, 1822)"
 ]
}

 The dataset includes 858 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023292-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyb5dn
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Decapterus tabl Berry, 1968",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 262 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023293-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/3732
title: Dataset
DOI: 10.57967/hf/3733
title: Dataset
DOI: 10.15468/dl.q23y34
title: Occurrence Download

description: A dataset containing 535505 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Insect Species Occurrence Data from Multiple Projects Worldwide with Focus on Bees and Wasps in North America"
 ]
}

 The dataset includes 535505 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023271-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14290530
title: Data file of the article titled Cognitive Traces of Life Kinetic Exercise in Adolescent Sedentary Subjects

description: Data file of the article titled Cognitive Traces of Life Kinetic Exercise in Adolescent Sedentary Subjects
DOI: 10.5281/zenodo.14290531
title: Data file of the article titled Cognitive Traces of Life Kinetic Exercise in Adolescent Sedentary Subjects

description: Data file of the article titled Cognitive Traces of Life Kinetic Exercise in Adolescent Sedentary Subjects
DOI: 10.15468/dl.e9hg96
title: Occurrence Download

description: A dataset containing 70806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Amazilia rutila (Delattre, 1843)"
 ]
}

 The dataset includes 70806 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023296-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yp29uy
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.41_1",
 "TaxonKey is Lynx rufus (Schreber, 1777)"
 ]
}

 The dataset includes 79 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023298-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.