cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0160398.10fu
title: SH0160398.10FU

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/sh0160399.10fu
title: SH0160399.10FU

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/sh0160400.10fu
title: SH0160400.10FU

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/sh0160401.10fu
title: SH0160401.10FU

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/sh0160402.10fu
title: SH0160402.10FU

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/sh0160403.10fu
title: SH0160403.10FU

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/sh0160404.10fu
title: SH0160404.10FU

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/sh0160405.10fu
title: SH0160405.10FU

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: 10.13140/rg.2.1.1064.7441
title: Diseño de Soluciones Abstractas mediante el Refinamiento de Especificaciones
DOI: 10.15468/dl.ff73ed
title: Occurrence Download

description: A dataset containing 4251 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus grosseserratus"
 ]
}

 The dataset includes 4251 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017539-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26275/40qf-1rhi
title: Reconstructing Human Vagal Anatomy (REVA) (CWRU & Duke) - 3D Nerve Tracing

description: Multi-scale anatomy of cadaveric human vagus nerves (SPARC REVA CWRU/Duke)
description: Three-dimensional coordinates of the vagus nerve and its branches in situ, dissected in an embalmed human cadaver, with gross anatomical context.
DOI: 10.15468/dl.2x3cqs
title: Occurrence Download

description: A dataset containing 1354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abramis brama",
 "BasisOfRecord is one of (Specimen)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1354 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017541-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wecrm5
title: Occurrence Download

description: A dataset containing 3224 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus nuttallii"
 ]
}

 The dataset includes 3224 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017540-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18492162
title: UAV Testing Competition 2026: Evaluation Results

description: The UAV Testing Competition, organized jointly by the Search-Based and Fuzz Testing (SBFT) 2026and the International Conference on Software Testing, Verification and Validation (ICST) 2026, is an initiative to foster greater involvement from the software testing community and to establish cyber-physical systems testing as an important and evolving research field.

Here we store the evaluation artifacts for the third edition held in 2026. We report the 4 case studies used in the evaluation, test suites generated by each tool for the case studies, and the scoring and ranking details.
DOI: 10.15468/zgpu5a
title: Large-scale integrative taxonomy of Swedish grass flies (Diptera, Chloropidae) reveals hitherto unknown complexity of a dark taxon

description: This dataset contains the digitized treatments in Plazi based on the original journal article Riccardi, Paula Raile, Hartop, Emily (2024): Large-scale integrative taxonomy of Swedish grass flies (Diptera, Chloropidae) reveals hitherto unknown complexity of a dark taxon. Zoologica Scripta 53 (5): 614-631, DOI: 10.1111/zsc.12663, URL: https://doi.org/10.1111/zsc.12663AbstractThe study of biodiversity is fundamental to preserving life on Earth but a challenging endeavour due to the taxonomic neglect associated with hyperdiverse lineages. To overcome this problem, we have implemented for the first time a Large-scale integrative taxonomic (LIT) approach on the hyperdiverse insect family Chloropidae. This lineage of flies is a great fit for implementing emerging protocols such as LIT due to their ecological relevance, abundance and global distribution, poorly known genetic diversity and challenging taxonomy. In this study, we test cost-effective barcoding workflows on nonoptimally preserved chloropid flies from Sweden and then apply targeted morphological validation to accelerate the species recognition process. Our dataset yielded DNA barcodes of 63 species that represent almost one-third of the species diversity from Sweden and 15% of the European diversity. Applying LIT allowed us to uncover two new species and address for the first time three troublesome species complexes through a comprehensive framework. We also provide previously unknown DNA barcodes for 35% of the described species found and address distribution patterns with a focus on grassland environments. We have thus contributed significantly to overcoming the taxonomic neglect of this hyperdiverse lineage by tackling the diversity of chloropids using complementary sources of data, scalable techniques and quickly translating multiple sources of evidence into named species.K E Y W O R D Sbiodiversity, integrative taxonomy, Palearctic, Schizophora, species complex1
DOI: 10.15468/dl.yugcwt
title: Occurrence Download

description: A dataset containing 922 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus californicus"
 ]
}

 The dataset includes 922 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017545-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8vqf5
title: Occurrence Download

description: A dataset containing 567 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus schweinitzii"
 ]
}

 The dataset includes 567 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017546-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/vcc88a
title: New species and new records of Chloropinae from Singapore (Diptera: Chloropidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Riccardi, Paula Raile, Ang, Yuchen (2024): New species and new records of Chloropinae from Singapore (Diptera: Chloropidae). Zootaxa 5458 (1): 83-92, DOI: 10.11646/zootaxa.5458.1.4, URL: http://dx.doi.org/10.11646/zootaxa.5360.3.8AbstractChloropidae biodiversity in the Oriental region is remarkably diverse and yet poorly understood. In this study, we used integrative taxonomy to tackle the species diversity of the subfamily Chloropinae from Singapore. We describe the first Oriental species of Cryptonevra Lioy, C. argenteum Riccardi, sp. nov., a new species of Chloropsina Becker, C. flavipes Riccardi, sp. nov., provide the first record of Eutropha noctilux (Walker) from Singapore and DNA barcodes of Chloropsina minima (Becker), Ensiferella kanmiyai Nartshuk. In addition, we increased the number of Chloropinae records from Singapore from two (Anthracophagella Anderson and Chlorops Meigen) to nine (addition of Cerais van der Wulp, Chloropsina, Cryptonevra, Elliponeura Loew, Ensiferella Andersson, Eutropha Loew, and Thressa Walker) genera and from two to seven described species plus four morphospecies. The species were discovered using NGS barcodes and are part of an ongoing campaign to document the biodiversity of Singapore.
DOI: 10.15468/dl.7mk7e5
title: Occurrence Download

description: A dataset listing the 36 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.05124 4.80114,-74.04703 4.80114,-74.04703 4.80788,-74.05124 4.80788,-74.05124 4.80114))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 36 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017544-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8xexe
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aaptosyax grypus",
 "BasisOfRecord is one of (Specimen)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017548-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17677637
title: IWAND-Nitrogen: A Community Dataset for Large-Scale River Nitrogen Modeling in the United States

description: Water quantity predictions have advanced rapidly, driven by ready-to-use benchmarks such as CAMELS (Catchment Attributes and Meteorology for Large-Sample Studies). In contrast, large-scale water quality predictions, especially for nutrients, lag behind due to a lack of comparable datasets. Existing water quality datasets face four major limitations: (1) underrepresentation of human-impacted systems, (2) absence of nutrient inputs, (3) incomplete watershed metadata, and (4) sparse monitoring coverage. To address these gaps, we developed IWAND-Nitrogen (Integrated Watershed Attributes and Nutrient Data for Nitrogen) for the contiguous United States. IWAND-Nitrogen integrates 574,767 nitrate records from 1,877 catchments (median 272 samples per gauge; IQR = 231–346) with at least 200 daily measurements each from 1980–2023, linked with 93 watershed attributes, eight nitrogen input forcings (both basin-averaged and gridded), and eleven climate forcings. IWAND-Nitrogen aims to serve as a nutrient community benchmark, advancing from model development to new insights from catchment to national scales.

Users should always download IWAND-Nitrogen-CSV.zip, as it includes all essential dataset components. If distributed (gridded) nitrogen forcings are needed, users must download both IWAND-Nitrogen-CSV.zip and IWAND-Nitrogen-NETCDF.zip.
DOI: 10.5281/zenodo.17677638
title: IWAND-Nitrogen: A Community Dataset for Large-Scale River Nitrogen Modeling in the United States

description: Water quantity predictions have advanced rapidly, driven by ready-to-use benchmarks such as CAMELS (Catchment Attributes and Meteorology for Large-Sample Studies). In contrast, large-scale water quality predictions, especially for nutrients, lag behind due to a lack of comparable datasets. Existing water quality datasets face four major limitations: (1) underrepresentation of human-impacted systems, (2) absence of nutrient inputs, (3) incomplete watershed metadata, and (4) sparse monitoring coverage. To address these gaps, we developed IWAND-Nitrogen (Integrated Watershed Attributes and Nutrient Data for Nitrogen) for the contiguous United States. IWAND-Nitrogen integrates 574,767 nitrate records from 1,877 catchments (median 272 samples per gauge; IQR = 231–346) with at least 200 daily measurements each from 1980–2023, linked with 93 watershed attributes, eight nitrogen input forcings (both basin-averaged and gridded), and eleven climate forcings. IWAND-Nitrogen aims to serve as a nutrient community benchmark, advancing from model development to new insights from catchment to national scales.

Users should always download IWAND-Nitrogen-CSV.zip, as it includes all essential dataset components. If distributed (gridded) nitrogen forcings are needed, users must download both IWAND-Nitrogen-CSV.zip and IWAND-Nitrogen-NETCDF.zip.
DOI: 10.15468/dl.ttkbqv
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aaptosyax grypus",
 "BasisOfRecord is one of (Specimen)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017549-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfwkhb
title: Occurrence Download

description: A dataset containing 621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abbottina rivularis",
 "BasisOfRecord is one of (Specimen)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 621 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017550-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/q793zq
title: Two new species of grass flies (Diptera, Chloropidae) from Sweden

description: This dataset contains the digitized treatments in Plazi based on the original journal article RAILE RICCARDI, PAULA (2024): Two new species of grass flies (Diptera, Chloropidae) from Sweden. Journal of Insect Biodiversity 48 (1): 29-33, DOI: 10.12976/jib/2024.48.1.4, URL: https://doi.org/10.12976/jib/2024.48.1.4This study implements an integrative taxonomy approach to describe two new species of Swedish grass flies Aphanotrigonum palpalis sp. nov. and Tricimba atipica sp. nov. Morphological and molecular diagnoses plus illustration of key morphological features are included, and amended keys to the Fennoscandian species of both genera are given.Data text
DOI: 10.5281/zenodo.18511138
title: Datasets of extracted trees and shrubs in Oostvaardersplassen redbed habitat from 3D point clouds obtained by airborne laser scanning

description: In the Oostvaardersplassen nature reserve, Willow (Salix spp.) and Elder (Sambucus nigra) act as critical ecological anchors within the reedbed habitat. These woody vegetation serve as essential forage for large herbivores like red deer (Cervus elephus). As red deer browse the nutrient-right foliage and strip bark, they naturally prune the vegetation to maintain the diversity in the nature reserve. However, Manually mapping those woody vegetations across extensive and often inaccessible reedbed is challenging and time-consuming. Airborne laser scanning offers a robust alternative, capable of capturing complex vegetation structure in the form of dense 3D point clouds. This repository documents a dataset of woody vegetation, primarily willow and elder, extracted from airborne LiDAR data (AHN4) to support the monitoring of these dynamic wetland ecosystems.
DOI: 10.5281/zenodo.18511608
title: Data for: State Estimation-Powered Augmented Reality Guidance for Breast-Conserving Surgery
DOI: 10.5281/zenodo.18511607
title: Data for: State Estimation-Powered Augmented Reality Guidance for Breast-Conserving Surgery
DOI: 10.15468/dl.ckvsbj
title: Occurrence Download

description: A dataset containing 6100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus strumosus"
 ]
}

 The dataset includes 6100 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017552-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.