cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1122962.10fu
title: SH1122962.10FU

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/sh1122965.10fu
title: SH1122965.10FU

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/sh1122966.10fu
title: SH1122966.10FU

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/sh1122967.10fu
title: SH1122967.10FU

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/sh1122971.10fu
title: SH1122971.10FU

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/sh1122974.10fu
title: SH1122974.10FU

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/sh1122978.10fu
title: SH1122978.10FU

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/sh1122979.10fu
title: SH1122979.10FU

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/sh1122980.10fu
title: SH1122980.10FU

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: 10.5281/zenodo.18145507
title: Ekantipur-15Y Complete data
DOI: 10.15156/bio/sh1122981.10fu
title: SH1122981.10FU

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: 10.5281/zenodo.18145506
title: Ekantipur-15Y Complete data
DOI: 10.15468/dl.eteb99
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces regalis"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012876-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jph455
title: Occurrence Download

description: A dataset containing 8563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "Country is one of (South Africa, Namibia, Botswana)",
 "OccurrenceStatus is Present",
 "TaxonKey is Loxodonta africana (Blumenbach, 1797)"
 ]
}

 The dataset includes 8563 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012873-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwaend
title: Occurrence Download

description: A dataset containing 141096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes albopictus (Skuse, 1894)"
 ]
}

 The dataset includes 141096 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012846-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111319901
title: Cuneiform Tablet 000224, CUN.000224

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions 000224 ❧ [Text or Publication Number Note:] CUN.000224 ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.15468/dl.afw8av
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Copaifera pubiflora Benth.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 63 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064355-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhuq7g
title: Occurrence Download

description: A dataset containing 12873 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazona viridigenalis (Cassin, 1853)"
 ]
}

 The dataset includes 12873 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005586-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds004624.v1.1.0
title: Intracranial recordings using BCI2000 and the CorTec BrainInterchange
DOI: 10.25549/inscriptifact-ouc111319902
title: Cuneiform Tablet 000224, CUN.000224

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions 000224 ❧ [Text or Publication Number Note:] CUN.000224 ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.15468/dl.6nzvyn
title: Occurrence Download

description: A dataset containing 445 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abies amabilis Douglas ex J.Forbes"
 ]
}

 The dataset includes 445 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080164-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6i4gfd
title: Occurrence Download

description: A dataset containing 8641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium boreale L.",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8641 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065240-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwxqy4
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is false",
 "TaxonKey is Buglossoporus quercinus (Schrad.) Kotl. & Pouzar"
 ]
}

 The dataset includes 42 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005837-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0gsoke
title: Occurrence Download

description: A dataset containing 715 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colaptes auricularis (Salvin & Godman, 1889)"
 ]
}

 The dataset includes 715 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005620-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111320013
title: Cuneiform Tablet 000224, CUN.000224

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions 000224 ❧ [Text or Publication Number Note:] CUN.000224 ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.15468/dl.relh5p
title: Occurrence Download

description: A dataset containing 408 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ailurus fulgens F.G.Cuvier, 1825"
 ]
}

 The dataset includes 408 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005871-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111319907
title: Cuneiform Tablet 000224, CUN.000224

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions 000224 ❧ [Text or Publication Number Note:] CUN.000224 ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.15468/dl.fbjolw
title: Occurrence Download

description: A dataset containing 55839672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.05 48.52,-1.05 54.00,12.72 54.00,12.72 48.52,-1.05 48.52))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 55839672 records from 1875 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055466-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/cfvxnh
title: Replication data for: Impacts of Environmental Degradation: Forest Loss, Malaria, and Child Outcomes in Nigeria

description: We examine the effect of forest loss around the time of birth on infant mortality and the early childhood health of children in rural Nigeria. We find that forest loss leads to an increase in neonatal mortality – one standard deviation of forest loss is associated with a 9-15% increase in the likelihood of death within the first month of life. The mechanism linking forest loss to infant death is maternal exposure to malaria when the child is in utero. Such exposure also results in worse birth outcomes, proxied by lower weight-for-age and height-for-age of surviving infants.
description: Volume XX, Issue X
DOI: 10.15468/dl.5qyjz7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rudens"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004522-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17464690
title: DATA STRENGTH INDICATORS
DOI: 10.5281/zenodo.17464691
title: DATA STRENGTH INDICATORS
DOI: 10.15468/dl.z2q25x
title: Occurrence Download

description: A dataset containing 2686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Pitcairnia L'Hér."
 ]
}

 The dataset includes 2686 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017721-250310093411724/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.28612025
title: Supporting Information:"Optimal Descriptor Subset Search via Chemical information and Target Activity-Guided Algorithm for Antimicrobial Peptide prediction"

description: This folder contains the <b>supplementary material</b> related to the manuscript: <b>"</b><b>Optimal Descriptor Subset Search via Chemical information and Target Activity-Guided Algorithm for Antimicrobial Peptide Prediction</b><b>"</b> (2025)
DOI: 10.15468/dl.dv5pa6
title: Occurrence Download

description: A dataset containing 2339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Weissia Hedw."
 ]
}

 The dataset includes 2339 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017723-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15054094
title: Dataset for: Physics-Informed Neural Networks for Evaluating Infiltration Capacity in Nonhomogeneous Soils: Advancing Green Infrastructure Performance Monitoring

description: This repository contains the data used for the paper "Physics-Informed Neural Networks for Evaluating Infiltration Capacity in Nonhomogeneous Soils: Advancing Green Infrastructure Performance Monitoring"You'll find the csv files for the three simulated (Hydrus 1D) scenarios explained in the paper. These files were processed from the 'Nod_Inf.out' files to csv format.

Code can be found on https://github.com/Khadrawi/Physics-Informed-Neural-Networks-for-Evaluating-Infiltration-Capacity-in-Nonhomogeneous-Soils
DOI: 10.5281/zenodo.15054095
title: Dataset for: Physics-Informed Neural Networks for Evaluating Infiltration Capacity in Nonhomogeneous Soils: Advancing Green Infrastructure Performance Monitoring

description: This repository contains the data used for the paper "Physics-Informed Neural Networks for Evaluating Infiltration Capacity in Nonhomogeneous Soils: Advancing Green Infrastructure Performance Monitoring"You'll find the csv files for the three simulated (Hydrus 1D) scenarios explained in the paper. These files were processed from the 'Nod_Inf.out' files to csv format.

Code can be found on https://github.com/Khadrawi/Physics-Informed-Neural-Networks-for-Evaluating-Infiltration-Capacity-in-Nonhomogeneous-Soils
DOI: 10.15468/dl.tgzzy6
title: Occurrence Download

description: A dataset containing 11747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-44.01561 -2.38189,-44.31923 -2.46562,-44.41569 -2.73259,-44.33504 -2.79103,-44.1358 -2.70732,-43.97292 -2.51144,-44.01561 -2.38189))",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 11747 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017724-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.