cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7jbdu3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.023649 -35.156269, 148.023649 -35.160761, 148.02814 -35.160761, 148.02814 -35.156269, 148.023649 -35.156269))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051901-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26212901
title: S1.csv.csv

description: The CSV file shows the phase distribution of the RPP used in simulation and experiment.
DOI: 10.6084/m9.figshare.26212901.v1
title: S1.csv.csv

description: The CSV file shows the phase distribution of the RPP used in simulation and experiment.
DOI: 10.15468/dl.82hbww
title: Occurrence Download

description: A dataset containing 798 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Nicaragua, Costa Rica, Honduras, Panama, El Salvador, Colombia, Venezuela (Bolivarian Republic of), Guatemala, Belize)",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate rounded, Recorded date invalid, Recorded date mismatch)",
 "TaxonKey is Inga thibaudiana DC."
 ]
}

 The dataset includes 798 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051902-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z46c2g
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Fossil, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Populus wuana Z.Wang & S.L.Tung"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051903-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydahuz
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metapenaeopsis dalei (M.J.Rathbun, 1902)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 178 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051906-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h323dy
title: Occurrence Download

description: A dataset containing 1680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cardiospermum grandiflorum Sw."
 ]
}

 The dataset includes 1680 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051904-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7j86xr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((142.141901 -37.152785, 142.148639 -37.152785, 142.148639 -37.150539, 142.141901 -37.150539, 142.141901 -37.152785)), ((142.141901 -37.152785, 142.135164 -37.152785, 142.135164 -37.159522, 142.132918 -37.159522, 142.132918 -37.161768, 142.135164 -37.161768, 142.135164 -37.16626, 142.148639 -37.16626, 142.148639 -37.161768, 142.146393 -37.161768, 142.146393 -37.159522, 142.141901 -37.159522, 142.141901 -37.152785)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051908-240626123714530/datasets/export for details.
DOI: 10.15468/dl.b9xzzg
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrcia lutescens Cambess."
 ]
}

 The dataset includes 49 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051907-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phxvvg
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Nicaragua, Costa Rica, Honduras, Panama, El Salvador, Colombia, Venezuela (Bolivarian Republic of), Guatemala, Belize)",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate rounded, Recorded date invalid, Recorded date mismatch)",
 "TaxonKey is Inga goldmanii Pittier"
 ]
}

 The dataset includes 180 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051909-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aj76k8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.695143 -35.158515, 148.695143 -35.160761, 148.697388 -35.160761, 148.697388 -35.158515, 148.695143 -35.158515))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051910-240626123714530/datasets/export for details.
DOI: 10.15468/dl.qnffkx
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epinephelus akaara (Temminck & Schlegel, 1842)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 163 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051912-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vk57gk
title: Occurrence Download

description: A dataset containing 30336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Sierra Leone",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 30336 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051905-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9f0q501
title: Datasets for Assessment of Nutrient Load Estimation Approaches for Small Urban Streams in Durham, North Carolina, 2009-2020

description: In cooperation with the City of Durham Public Works Department Stormwater Division, the U.S. Geological Survey (USGS) conducted a study to evaluate whether alternate monitoring strategies that incorporated samples collected across an increased range of streamflows would improve nutrient load estimates for Ellerbe and Sandy Creeks, two small, highly urbanized streams in the City of Durham, North Carolina. This data release provides the associated datasets described in the Scientific Investigations Report, "Assessment of Nutrient Load Estimation Approaches for Small Urban Streams in Durham, North Carolina". Water-quality and streamflow data collected between January 2009 and December 2020 were used to develop instream nutrient-load models using the U.S. Geological Survey R-LOADEST program (Runkel and others, 2004; Runkel, 2013; Lorenz and others, 2017). The datasets contain water-quality data, streamflow data, input files for model calibration and prediction, and output files for model diagnostic and load estimation results. This data release contains 13 files:
1. "Ellerbe_water_quality_data.csv": This file contains water-quality data for samples collected by the City of Durham and USGS at Ellerbe Creek.
2. "Sandy_water_quality_data.csv": This file contains water-quality data for samples collected by the City of Durham and USGS at Sandy Creek.
3. "Ellerbe_streamflow_data.csv": This file contains USGS daily mean streamflow data for Ellerbe Creek.
4. "Sandy_streamflow_data.csv": This file contains USGS daily mean streamflow data for Sandy Creek.
5. "Ellerbe_input_calibration.zip": This zipped file contains eight individual model calibration input .csv files for nutrient load testing scenarios for Ellerbe Creek.
6. "Sandy_input_calibration.zip": This zipped file contains ten individual model calibration input .csv files for nutrient load testing scenarios for Sandy Creek.
7. "Ellerbe_input_prediction.zip": This zipped file contains four individual model prediction input .csv files for nutrient load testing scenarios for Ellerbe Creek.
8. "Sandy_input_prediction.zip": This zipped file contains five individual model prediction input .csv files for nutrient load testing scenarios for Sandy Creek.
9. "Ellerbe_model_diagnostic_results.csv": This file contains the diagnostic results for all nutrient regression models examined for Ellerbe Creek.
10. "Sandy_model_diagnostic_results.csv": This file contains the diagnostic results for all nutrient regression models examined for Sandy Creek.
11. "Ellerbe_load_estimation_results.csv": This file contains the estimated load results for all nutrient regression models examined for Ellerbe Creek.
12. "Sandy_load_estimation_results.csv": This file contains the estimated load results for all nutrient regression models examined for Sandy Creek.
13. "Readme.pdf": This document describes the datasets compiled for assessing nutrient load estimation approaches for Ellerbe and Sandy Creeks in the City of Durham, North Carolina.
DOI: 10.15468/dl.6pp3zv
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.71249 -35.142795, 149.71249 -35.14504, 149.707998 -35.14504, 149.707998 -35.147286, 149.703506 -35.147286, 149.703506 -35.149532, 149.699015 -35.149532, 149.699015 -35.151778, 149.703506 -35.151778, 149.703506 -35.158515, 149.710244 -35.158515, 149.710244 -35.165253, 149.71249 -35.165253, 149.71249 -35.160761, 149.721473 -35.160761, 149.721473 -35.156269, 149.725964 -35.156269, 149.725964 -35.151778, 149.730456 -35.151778, 149.730456 -35.147286, 149.734948 -35.147286, 149.734948 -35.14504, 149.725964 -35.14504, 149.725964 -35.142795, 149.723719 -35.142795, 149.723719 -35.14504, 149.716981 -35.14504, 149.716981 -35.142795, 149.71249 -35.142795))"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051914-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x63qqp
title: Occurrence Download

description: A dataset containing 1553 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rheobates palmatus (Werner, 1899)"
 ]
}

 The dataset includes 1553 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051916-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0173854.10fu
title: SH0173854.10FU

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/sh0173855.10fu
title: SH0173855.10FU

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/sh0173856.10fu
title: SH0173856.10FU

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/sh0173857.10fu
title: SH0173857.10FU

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/sh0173858.10fu
title: SH0173858.10FU

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/sh0173859.10fu
title: SH0173859.10FU

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/sh0173860.10fu
title: SH0173860.10FU

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/sh0173861.10fu
title: SH0173861.10FU

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/sh0173862.10fu
title: SH0173862.10FU

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/sh0173863.10fu
title: SH0173863.10FU

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.