cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0184439.10fu
title: SH0184439.10FU

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/sh0184440.10fu
title: SH0184440.10FU

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/sh0184441.10fu
title: SH0184441.10FU

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/sh0184442.10fu
title: SH0184442.10FU

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/sh0184443.10fu
title: SH0184443.10FU

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/sh0184444.10fu
title: SH0184444.10FU

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/sh0184445.10fu
title: SH0184445.10FU

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/sh0184446.10fu
title: SH0184446.10FU

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/sh0184447.10fu
title: SH0184447.10FU

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: 10.3886/e242783
title: NCHS - VSRR Quarterly provisional estimates for selected indicators of mortality

description: Provisional estimates of death rates. Estimates are presented for each of the 15 leading causes of death plus estimates for deaths attributed to drug overdose, falls (for persons aged 65 and over), human immunodeficiency virus (HIV) disease, homicide, and firearms-related deaths.
description: (Downloaded 1/7/2026)
DOI: 10.15156/bio/sh0184448.10fu
title: SH0184448.10FU

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: 10.3886/e242783v1
title: NCHS - VSRR Quarterly provisional estimates for selected indicators of mortality

description: Provisional estimates of death rates. Estimates are presented for each of the 15 leading causes of death plus estimates for deaths attributed to drug overdose, falls (for persons aged 65 and over), human immunodeficiency virus (HIV) disease, homicide, and firearms-related deaths.
description: (Downloaded 1/7/2026)
DOI: 10.15468/dl.dx5686
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agrostemma githago",
 "Country is Ukraine",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022595-250920141307145/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.30225463
title: Journal of Experimental & Theoretical Artificial Intelligence - <b>Energy Prediction Based on Periodic Mechanical Impact in PVDF-Based Piezoelectric Energy Harvesting: A Comparative Analysis of Machine Learning Models</b>

description: In this study, an experimental setup was designed to measure the energy harvested from periodic mechanical pulses using Polyvinylidene Fluoride (PVDF) piezoelectric material. The collected data were modelled using Artificial Neural Network (ANN), K-Nearest Neighbours (KNN), Support Vector Machine (SVM), and Random Forest (RF) algorithms, which were compared in terms of prediction accuracy and processing time.
DOI: 10.6084/m9.figshare.30225463.v1
title: Journal of Experimental & Theoretical Artificial Intelligence - <b>Energy Prediction Based on Periodic Mechanical Impact in PVDF-Based Piezoelectric Energy Harvesting: A Comparative Analysis of Machine Learning Models</b>

description: In this study, an experimental setup was designed to measure the energy harvested from periodic mechanical pulses using Polyvinylidene Fluoride (PVDF) piezoelectric material. The collected data were modelled using Artificial Neural Network (ANN), K-Nearest Neighbours (KNN), Support Vector Machine (SVM), and Random Forest (RF) algorithms, which were compared in terms of prediction accuracy and processing time.
DOI: 10.15468/dl.sp46ph
title: Occurrence Download

description: A dataset containing 1051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Praxelis clematidea",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1051 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022596-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dt4uf
title: Occurrence Download

description: A dataset containing 8360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Bufo gargarizans"
 ]
}

 The dataset includes 8360 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022598-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4xcgq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agrostemma githago",
 "Country is Uzbekistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022599-250920141307145/datasets/export for details.
DOI: 10.15468/dl.7yxgjz
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterocypsela indica",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 109 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022602-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqbjfs
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arenaria lanuginosa",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 66 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022603-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vrnxk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arenaria lanuginosa",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022604-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17213071
title: IPBES Global Assessment in Linked Open Data format

description: This dataset contains the Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services in linked open data format.

The structure of the file follows the IPBES ontology version 06: https://github.com/IPBES-Data/IPBES_Ontology

The report is published in 2019 and consists of 6 chapters and a Summary for Policy Makers. For more information about the report, see: https://www.ipbes.net/global-assessment

For any questions and enquiries, please contact the IPBES Data and Knowledge Unit aidin.niamir@senckenberg.de
DOI: 10.5281/zenodo.10961204
title: IPBES Global Assessment in Linked Open Data format

description: This dataset contains the Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services in linked open data format.

The structure of the file follows the IPBES ontology version 06: https://github.com/IPBES-Data/IPBES_Ontology

The report is published in 2019 and consists of 6 chapters and a Summary for Policy Makers. For more information about the report, see: https://www.ipbes.net/global-assessment

For any questions and enquiries, please contact the IPBES Data and Knowledge Unit aidin.niamir@senckenberg.de
DOI: 10.5281/zenodo.17099088
title: IPBES Global Assessment in Linked Open Data format

description: This dataset contains the Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services in linked open data format.

The structure of the file follows the IPBES ontology version 06: https://github.com/IPBES-Data/IPBES_Ontology

The report is published in 2019 and consists of 6 chapters and a Summary for Policy Makers. For more information about the report, see: https://www.ipbes.net/global-assessment

For any questions and enquiries, please contact the IPBES Data and Knowledge Unit aidin.niamir@senckenberg.de
DOI: 10.15468/dl.9q23en
title: Occurrence Download

description: A dataset containing 880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senecio scandens",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 880 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022605-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udgmxy
title: Occurrence Download

description: A dataset containing 62591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "IucnRedListCategory is EN",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 62591 records from 302 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022533-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2uktdf
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardionema ramosissima",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 49 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022606-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17206382
title: Location of the soil profiles of the site survey Model Catchment Rindbachtal (Lage der Bodenprofile zur Standortserhebung MEZG Rindbach)

description: Lage der Bodenprofile zur Standortserhebung MEZG Rindbachtal

Daten Details

Art der Daten: Shape-Datei (.shp, .shx, .dbf, .prj, .cpg, .qmd)

Wie die Daten gesammelt oder abgeleitet wurden: Die Punkte wurden mittels GPS eingemessen und mit QGIS weiterbearbeitet.

Koordinaten-Referenzsystem: EPSG:31255

Erklärung der verwendeten Spaltennamen:




Punkt:
Nummer der Profilstelle


Seehoehe: 
Seehöhe in Meter a.s.l.


BodenErh: 
Namen des Erhebungsteams


Boden:   
Aufnahmedatum


X:    
X Koordinate; EPSG 31255


Y:   
Y Koordinate; EPSG 31255


Stratum: 
 Kürzel für das Stratum, in welchem sich der Punkt befindet




 
description: Location of the soil profiles of the site survey MEZG Rindbachtal

Data details

Type of data: Shape file (.shp, .shx, .dbf, .prj, .cpg, .qmd)How the data was collected or derived: The data were assessed by GPS and processed using QGISCoordinate reference system: EPSG:4312

Explanation of the column titles:




Punkt:  
 Number of the soil profile


Seehoehe:  
 Altitude in meters a.s.l.


BodenErh: 
Names of the survey team


Boden:   
Soil-survey date


X:   
X Coordinate; EPSG 31255


Y:  
Y Coordinate; EPSG 31255


Stratum:  
Code used for the stratum where the profile is situated
DOI: 10.5281/zenodo.17206383
title: Location of the soil profiles of the site survey Model Catchment Rindbachtal (Lage der Bodenprofile zur Standortserhebung MEZG Rindbach)

description: Lage der Bodenprofile zur Standortserhebung MEZG Rindbachtal

Daten Details

Art der Daten: Shape-Datei (.shp, .shx, .dbf, .prj, .cpg, .qmd)

Wie die Daten gesammelt oder abgeleitet wurden: Die Punkte wurden mittels GPS eingemessen und mit QGIS weiterbearbeitet.

Koordinaten-Referenzsystem: EPSG:31255

Erklärung der verwendeten Spaltennamen:




Punkt:
Nummer der Profilstelle


Seehoehe: 
Seehöhe in Meter a.s.l.


BodenErh: 
Namen des Erhebungsteams


Boden:   
Aufnahmedatum


X:    
X Koordinate; EPSG 31255


Y:   
Y Koordinate; EPSG 31255


Stratum: 
 Kürzel für das Stratum, in welchem sich der Punkt befindet




 
description: Location of the soil profiles of the site survey MEZG Rindbachtal

Data details

Type of data: Shape file (.shp, .shx, .dbf, .prj, .cpg, .qmd)How the data was collected or derived: The data were assessed by GPS and processed using QGISCoordinate reference system: EPSG:4312

Explanation of the column titles:




Punkt:  
 Number of the soil profile


Seehoehe:  
 Altitude in meters a.s.l.


BodenErh: 
Names of the survey team


Boden:   
Soil-survey date


X:   
X Coordinate; EPSG 31255


Y:  
Y Coordinate; EPSG 31255


Stratum:  
Code used for the stratum where the profile is situated