cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0178366.10fu
title: SH0178366.10FU

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/sh0178367.10fu
title: SH0178367.10FU

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/sh0178368.10fu
title: SH0178368.10FU

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/sh0178369.10fu
title: SH0178369.10FU

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/sh0178370.10fu
title: SH0178370.10FU

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/sh0178371.10fu
title: SH0178371.10FU

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/sh0178372.10fu
title: SH0178372.10FU

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/sh0178373.10fu
title: SH0178373.10FU

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.fgrjrz
title: Occurrence Download

description: A dataset containing 704 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schwalbea L."
 ]
}

 The dataset includes 704 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058886-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nw2hha
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.897265 -33.599931, 148.901756 -33.599931, 148.901756 -33.608914, 148.906248 -33.608914, 148.906248 -33.61116, 148.919723 -33.61116, 148.919723 -33.615651, 148.921968 -33.615651, 148.921968 -33.61116, 148.92646 -33.61116, 148.92646 -33.608914, 148.928706 -33.608914, 148.928706 -33.604422, 148.92646 -33.604422, 148.92646 -33.595439, 148.921968 -33.595439, 148.921968 -33.588702, 148.912985 -33.588702, 148.912985 -33.58421, 148.910739 -33.58421, 148.910739 -33.595439, 148.912985 -33.595439, 148.912985 -33.602177, 148.906248 -33.602177, 148.906248 -33.588702, 148.904002 -33.588702, 148.904002 -33.586456, 148.901756 -33.586456, 148.901756 -33.58421, 148.897265 -33.58421, 148.897265 -33.593193, 148.901756 -33.593193, 148.901756 -33.595439, 148.897265 -33.595439, 148.897265 -33.599931), (148.906248 -33.608914, 148.906248 -33.604422, 148.912985 -33.604422, 148.912985 -33.608914, 148.906248 -33.608914), (148.917477 -33.602177, 148.921968 -33.602177, 148.921968 -33.608914, 148.917477 -33.608914, 148.917477 -33.602177)), ((148.895019 -33.602177, 148.897265 -33.602177, 148.897265 -33.599931, 148.895019 -33.599931, 148.895019 -33.602177)), ((148.895019 -33.602177, 148.888281 -33.602177, 148.888281 -33.604422, 148.895019 -33.604422, 148.895019 -33.602177)), ((148.895019 -33.599931, 148.895019 -33.595439, 148.88379 -33.595439, 148.88379 -33.599931, 148.895019 -33.599931)), ((148.921968 -33.615651, 148.921968 -33.622389, 148.92646 -33.622389, 148.92646 -33.617897, 148.930952 -33.617897, 148.930952 -33.61116, 148.928706 -33.61116, 148.928706 -33.615651, 148.921968 -33.615651)))"
 ]
}

 The dataset includes 36 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058887-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9s8b7
title: Occurrence Download

description: A dataset containing 704 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schwalbea L."
 ]
}

 The dataset includes 704 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058888-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8ga8a
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythrina smithiana Krukoff"
 ]
}

 The dataset includes 216 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058890-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjg8fm
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.586725 -33.58421, 149.586725 -33.586456, 149.588971 -33.586456, 149.588971 -33.588702, 149.586725 -33.588702, 149.586725 -33.599931, 149.584479 -33.599931, 149.584479 -33.602177, 149.579987 -33.602177, 149.579987 -33.61116, 149.57325 -33.61116, 149.57325 -33.617897, 149.571004 -33.617897, 149.571004 -33.620143, 149.579987 -33.620143, 149.579987 -33.62688, 149.584479 -33.62688, 149.584479 -33.624635, 149.586725 -33.624635, 149.586725 -33.622389, 149.593462 -33.622389, 149.593462 -33.617897, 149.584479 -33.617897, 149.584479 -33.615651, 149.586725 -33.615651, 149.586725 -33.604422, 149.588971 -33.604422, 149.588971 -33.599931, 149.593462 -33.599931, 149.593462 -33.593193, 149.609183 -33.593193, 149.609183 -33.586456, 149.604691 -33.586456, 149.604691 -33.58421, 149.6002 -33.58421, 149.6002 -33.588702, 149.593462 -33.588702, 149.593462 -33.58421, 149.586725 -33.58421)), ((149.593462 -33.617897, 149.602445 -33.617897, 149.602445 -33.615651, 149.609183 -33.615651, 149.609183 -33.608914, 149.602445 -33.608914, 149.602445 -33.604422, 149.595708 -33.604422, 149.595708 -33.608914, 149.593462 -33.608914, 149.593462 -33.617897)))"
 ]
}

 The dataset includes 261 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058891-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rx4z7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.027521 -33.615651, 149.027521 -33.620143, 149.029767 -33.620143, 149.029767 -33.615651, 149.027521 -33.615651))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058893-240626123714530/datasets/export for details.
DOI: 10.34965/i9815
title: 20209112
DOI: 10.34965/i9848
title: 20214102
DOI: 10.34965/i9852
title: 20209064
DOI: 10.34965/i10074
title: 20194065
DOI: 10.34965/i10215
title: 20214030
DOI: 10.34965/i10448
title: 20214066
DOI: 10.34965/i10449
title: 20199088
DOI: 10.34965/i10501
title: 20214068
DOI: 10.34965/i10748
title: 20219041
DOI: 10.34965/i10853
title: 20209112b
DOI: 10.34965/i10947
title: 20219008
DOI: 10.34965/i10989
title: 20224036
DOI: 10.34965/i11249
title: 20214098
DOI: 10.34965/i11345
title: 20219016
DOI: 10.34965/i10033
title: 20215092
DOI: 10.34965/i9409
title: 20210122
DOI: 10.34965/i9753
title: 20200173
DOI: 10.34965/i9777
title: 20195339
DOI: 10.34965/i9991
title: 20215807
DOI: 10.34965/i10026
title: 20195491
DOI: 10.34965/i10043
title: 20195463
DOI: 10.34965/i10287
title: 20200389
DOI: 10.34965/i10465
title: 20220292
DOI: 10.34965/i10674
title: 20225238
DOI: 10.34965/i10693
title: 20225078
DOI: 10.34965/i10747
title: 20225067
DOI: 10.34965/i10786
title: 20220255
DOI: 10.34965/i10787
title: 20225326
DOI: 10.34965/i10797
title: 20225133
DOI: 10.34965/i10816
title: 20220227
DOI: 10.34965/i10824
title: 20215612
DOI: 10.15468/dl.4p4k9t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.89951 -33.617897, 148.89951 -33.624635, 148.904002 -33.624635, 148.904002 -33.617897, 148.89951 -33.617897))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058896-240626123714530/datasets/export for details.
DOI: 10.15468/dl.8yt9vg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.912985 -33.617897, 148.912985 -33.622389, 148.917477 -33.622389, 148.917477 -33.617897, 148.912985 -33.617897))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058897-240626123714530/datasets/export for details.
DOI: 10.15468/dl.nsg954
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.0118 -33.602177, 149.0118 -33.604422, 149.005063 -33.604422, 149.005063 -33.608914, 149.018538 -33.608914, 149.018538 -33.61116, 149.014046 -33.61116, 149.014046 -33.617897, 149.009554 -33.617897, 149.009554 -33.622389, 149.014046 -33.622389, 149.014046 -33.620143, 149.025275 -33.620143, 149.025275 -33.61116, 149.029767 -33.61116, 149.029767 -33.602177, 149.0118 -33.602177))"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058898-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kryxr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.609183 -33.617897, 149.609183 -33.624635, 149.611429 -33.624635, 149.611429 -33.617897, 149.609183 -33.617897))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058899-240626123714530/datasets/export for details.
DOI: 10.15468/dl.tefqhr
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ECU.12_1",
 "TaxonKey is Sambucus nigra L."
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058900-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8117176
title: DeepHP: A Gastric Mucosa Histopathology Image Collection for Helicobacter pylori Infection Diagnosis

description: Precision medicine is benefiting from emerging deep learning-based applications, and one such application is computational histopathological analysis. However, a significant challenge arises from the scarcity of properly annotated training image datasets required for generating accurate classification and detection models. This scarcity primarily stems from human-related factors that hinder the acquisition of well-annotated data. To address this issue, the present study introduces DeepHP, a meticulously curated public collection of histopathological images. The DeepHP database encompasses a vast collection of 394,926 histopathological images, out of which 111k were annotated as Helicobacter pylori positive and 283k as Helicobacter pylori-negative.
description: The image collection were first described in: Gonçalves, Wanderson Gonçalves e, Marcelo Henrique Paula dos Santos, Leonardo Miranda Brito, Helber Gonzales Almeida Palheta, Fábio Manoel França Lobato, Samia Demachki, Ândrea Ribeiro-dos-Santos, and Gilderlanio Santana de Araújo. 2022. "DeepHP: A New Gastric Mucosa Histopathology Dataset for Helicobacter pylori Infection Diagnosis" International Journal of Molecular Sciences 23, no. 23: 14581. https://doi.org/10.3390/ijms232314581 This research was funded by PROPESP/UFPA for financial support and scholarships, and Fundação Amazônia Paraense de Amparo à Pesquisa—FAPESPA (No. 008/2017 and No. BJT-2021/658671).

Please cite us if you are using our data!

To use DeepHP, the application process includes acceptance of the Data Use Agreement and submission of this online application form to Prof. Dr. Gilderlanio Santana de Araújo (gilderlanio@gmail.com) and Prof. Dr. Ândrea Ribeiro dos Santos (akelyufpa@gmail.com).
DOI: 10.5281/zenodo.8117177
title: DeepHP: A Gastric Mucosa Histopathology Image Collection for Helicobacter pylori Infection Diagnosis

description: Precision medicine is benefiting from emerging deep learning-based applications, and one such application is computational histopathological analysis. However, a significant challenge arises from the scarcity of properly annotated training image datasets required for generating accurate classification and detection models. This scarcity primarily stems from human-related factors that hinder the acquisition of well-annotated data. To address this issue, the present study introduces DeepHP, a meticulously curated public collection of histopathological images. The DeepHP database encompasses a vast collection of 394,926 histopathological images, out of which 111k were annotated as Helicobacter pylori positive and 283k as Helicobacter pylori-negative.
description: The image collection were first described in: Gonçalves, Wanderson Gonçalves e, Marcelo Henrique Paula dos Santos, Leonardo Miranda Brito, Helber Gonzales Almeida Palheta, Fábio Manoel França Lobato, Samia Demachki, Ândrea Ribeiro-dos-Santos, and Gilderlanio Santana de Araújo. 2022. "DeepHP: A New Gastric Mucosa Histopathology Dataset for Helicobacter pylori Infection Diagnosis" International Journal of Molecular Sciences 23, no. 23: 14581. https://doi.org/10.3390/ijms232314581 This research was funded by PROPESP/UFPA for financial support and scholarships, and Fundação Amazônia Paraense de Amparo à Pesquisa—FAPESPA (No. 008/2017 and No. BJT-2021/658671).

Please cite us if you are using our data!

To use DeepHP, the application process includes acceptance of the Data Use Agreement and submission of this online application form to Prof. Dr. Gilderlanio Santana de Araújo (gilderlanio@gmail.com) and Prof. Dr. Ândrea Ribeiro dos Santos (akelyufpa@gmail.com).
DOI: 10.15468/dl.xdua9h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.656345 -33.617897, 149.656345 -33.620143, 149.660836 -33.620143, 149.660836 -33.617897, 149.656345 -33.617897))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058901-240626123714530/datasets/export for details.
DOI: 10.25919/2mfd-7z17
title: Parkes observations for project P630 semester 2010APRS_08

description: We propose to carry out the most ambitious and comprehensive all-sky survey for pulsars and transient sources to date. Using the 20cm multibeam and a new digital filterbank array this survey will create a petabyte digital record of the sky that can be data mined in the future and used to search for relativistic binary and millisecond pulsars, RRATs, and extragalactic radio bursts. The survey should discover 100s of new millisecond and normal pulsars and help define the lower limit to pulsar periods, test theories of relativistic gravity, find transients and provide pulsars for gravitational wave detection.
DOI: 10.25919/x09k-vr60
title: Parkes observations for project P630 semester 2010APRS_07

description: We propose to carry out the most ambitious and comprehensive all-sky survey for pulsars and transient sources to date. Using the 20cm multibeam and a new digital filterbank array this survey will create a petabyte digital record of the sky that can be data mined in the future and used to search for relativistic binary and millisecond pulsars, RRATs, and extragalactic radio bursts. The survey should discover 100s of new millisecond and normal pulsars and help define the lower limit to pulsar periods, test theories of relativistic gravity, find transients and provide pulsars for gravitational wave detection.