cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0187374.10fu
title: SH0187374.10FU

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/sh0187375.10fu
title: SH0187375.10FU

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/sh0187376.10fu
title: SH0187376.10FU

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/sh0187377.10fu
title: SH0187377.10FU

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/sh0187378.10fu
title: SH0187378.10FU

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/sh0187379.10fu
title: SH0187379.10FU

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/sh0187380.10fu
title: SH0187380.10FU

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/sh0187381.10fu
title: SH0187381.10FU

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/sh0187382.10fu
title: SH0187382.10FU

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: 10.15468/dl.shk8ph
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thesium angulosum"
 ]
}

 The dataset includes 61 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026930-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zwvbm
title: Occurrence Download

description: A dataset containing 1384759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.078 37.14289,-6.53477 36.81376,-6.40938 36.0427,-5.5227 35.95575,-4.71663 36.49762,-4.96741 37.10718,-6.078 37.14289))",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 1384759 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026913-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwu4gu
title: Occurrence Download

description: A dataset containing 1155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ranunculus cantoniensis",
 "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 1155 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026932-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sc4dtj
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neottiura bimaculata",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 156 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026931-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17219946
title: Design and Preclinical Validation of an Anti-B7-H3-Specific  Radiotracer: A Non-Invasive Imaging Tool to Guide B7-H3-Targeted Therapies
DOI: 10.5281/zenodo.17220286
title: Design and Preclinical Validation of an Anti-B7-H3-Specific  Radiotracer: A Non-Invasive Imaging Tool to Guide B7-H3-Targeted Therapies
DOI: 10.15468/dl.sc9e3e
title: Occurrence Download

description: A dataset containing 70511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Luxembourg",
 "Geometry POLYGON((5.76825 50.22499,5.64733 50.10882,5.58903 49.94296,5.52796 49.57893,5.74726 49.36969,6.2636 49.34619,6.54675 49.40403,6.64946 49.77294,6.27349 50.22677,5.76825 50.22499))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 2023-2025"
 ]
}

 The dataset includes 70511 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026914-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82x8va
title: Occurrence Download

description: A dataset containing 925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "Country is one of (Algeria, Morocco, Tunisia)",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Coordinate rounded",
 "IucnRedListCategory is LC",
 "Month is one of (February, March, April, May, June, July, August, September, January, October, November, December)",
 "OccurrenceStatus is Present",
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "TaxonKey is Phylloscopus bonelli",
 "Year 2005-2025"
 ]
}

 The dataset includes 925 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026934-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuysen
title: Occurrence Download

description: A dataset containing 496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ranunculus sceleratus",
 "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 496 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026935-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbga7h
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platnickina tincta",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 161 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026936-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17220228
title: VABD-IFMS v1.0: A Multi-Person Scene Dataset for Visual Acuity Behavior Detection

description: This work presents the design, development, and validation of the Visual Acuity Behavior Dataset (VABD-IFMS), a novel image dataset for studying behaviors associated with visual strain in realistic, multi-person educational settings. Addressing the lack of public resources for training robust computer vision models for visual acuity screening, this project executed a rigorous data collection protocol approved by an institutional Research Ethics Committee (Brazil, CAAE: 83336124.7.0000.5162).



Methodological Approach and Dataset Structure:


Unlike single-label classification datasets, VABD-IFMS is designed to reflect the complexity of real-world classroom environments. Each image (frame) in the dataset captures a scene containing multiple individuals (typically 6 to 13 subjects per frame), who may simultaneously exhibit a variety of different behaviors. The annotations, provided in the standard JSON format as exported by Label Studio, contain bounding boxes for each person identified and a corresponding class label from 7 predefined behaviors. This structure is specifically intended for the development and validation of object detection models (e.g., YOLO, SSD) that can be connected to live camera systems.



Data Availability and Access Conditions:


To protect participant privacy and in accordance with the project's ethical protocol, the dataset files (images and annotations) are not publicly hosted but are available to researchers under a controlled access protocol. This metadata record serves to ensure the dataset is Findable, Citable, and Reusable under defined conditions.

Researchers interested in accessing the dataset must:



Submit a formal request to the corresponding author (talita.marques@estudante.ifms.edu.br) detailing the intended research project and purpose of use.

Provide evidence of ethical approval for their project from their own institution's Research Ethics Committee (or equivalent).

Sign a Data Use Agreement (DUA) committing to uphold the same standards of data security, confidentiality, and purpose limitation outlined in this work, and agreeing not to redistribute the data.


The documentation, including the full final report and the annotation manual, is provided with this record. The dataset itself consists of over 7,000 images, available in both processed (224x224, CLAHE) and raw formats, with [Seu número final] high-quality annotations.

VABD-IFMS is a fundamental tool that enables the development and evaluation of new AI-driven solutions for the early identification of students who may require professional ophthalmological assessment.
DOI: 10.5281/zenodo.17220229
title: VABD-IFMS v1.0: A Multi-Person Scene Dataset for Visual Acuity Behavior Detection

description: This work presents the design, development, and validation of the Visual Acuity Behavior Dataset (VABD-IFMS), a novel image dataset for studying behaviors associated with visual strain in realistic, multi-person educational settings. Addressing the lack of public resources for training robust computer vision models for visual acuity screening, this project executed a rigorous data collection protocol approved by an institutional Research Ethics Committee (Brazil, CAAE: 83336124.7.0000.5162).



Methodological Approach and Dataset Structure:


Unlike single-label classification datasets, VABD-IFMS is designed to reflect the complexity of real-world classroom environments. Each image (frame) in the dataset captures a scene containing multiple individuals (typically 6 to 13 subjects per frame), who may simultaneously exhibit a variety of different behaviors. The annotations, provided in the standard JSON format as exported by Label Studio, contain bounding boxes for each person identified and a corresponding class label from 7 predefined behaviors. This structure is specifically intended for the development and validation of object detection models (e.g., YOLO, SSD) that can be connected to live camera systems.



Data Availability and Access Conditions:


To protect participant privacy and in accordance with the project's ethical protocol, the dataset files (images and annotations) are not publicly hosted but are available to researchers under a controlled access protocol. This metadata record serves to ensure the dataset is Findable, Citable, and Reusable under defined conditions.

Researchers interested in accessing the dataset must:



Submit a formal request to the corresponding author (talita.marques@estudante.ifms.edu.br) detailing the intended research project and purpose of use.

Provide evidence of ethical approval for their project from their own institution's Research Ethics Committee (or equivalent).

Sign a Data Use Agreement (DUA) committing to uphold the same standards of data security, confidentiality, and purpose limitation outlined in this work, and agreeing not to redistribute the data.


The documentation, including the full final report and the annotation manual, is provided with this record. The dataset itself consists of over 7,000 images, available in both processed (224x224, CLAHE) and raw formats, with [Seu número final] high-quality annotations.

VABD-IFMS is a fundamental tool that enables the development and evaluation of new AI-driven solutions for the early identification of students who may require professional ophthalmological assessment.
DOI: 10.15468/dl.zakxmv
title: Occurrence Download

description: A dataset containing 450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.31898 -11.74619,-67.81698 -11.74619,-67.81698 -9.18162,-71.31898 -9.18162,-71.31898 -11.74619))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset includes 450 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026937-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytkmav
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Berchemia lineata",
 "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 276 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026938-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxqypj
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Simitidion simile",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026939-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59umhx
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Berchemia racemosa",
 "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 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026940-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.