cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0091003.10fu
title: SH0091003.10FU

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: 10.13145/bacdive23778.20250331.9.3
title: Bartonella vinsonii subsp. berkhoffii Kordick et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23778.20251217.10
title: Bartonella vinsonii subsp. berkhoffii Kordick et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0091004.10fu
title: SH0091004.10FU

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/sh0091005.10fu
title: SH0091005.10FU

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: 10.13145/bacdive23779.20250331.9.3
title: Bartonella tribocorum Heller et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0091006.10fu
title: SH0091006.10FU

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: 10.13145/bacdive23779.20251217.10
title: Bartonella tribocorum Heller et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0091007.10fu
title: SH0091007.10FU

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.3qv8um
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyphantria cunea"
 ]
}

 The dataset includes 43 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077226-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive23780.20250331.9.3
title: Bartonella vinsonii subsp. arupensis Welch et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23780.20251217.10
title: Bartonella vinsonii subsp. arupensis Welch et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23781.20241212.9.2
title: Bartonella acomydis Sato et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23781.20251217.10
title: Bartonella acomydis Sato et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.29264819
title: An open bone marrow megakaryocyte dataset for automated morphologic studies

description: Precise classification of megakaryocyte subtypes in bone marrow examination is crucial for the diagnosis and research of various hematological disorders, including Myelodysplastic Syndromes (MDS) and other platelet-production related diseases. While deep learning (DL) has demonstrated remarkable success in medical image classification, its application to megakaryocyte classification has been hindered by the scarcity of high-quality, openly licensed datasets. Therefore, we present MK-11, a dataset comprising 7,204 Wright-Giemsa stained single-cell images across 11 clinically relevant megakaryocyte subtypes. All images were annotated by two experienced hematopathologists with consensus review to ensure annotation quality, following standardized diagnostic criteria. Several state-of-the-art neural networks, including convolutional and transformer-based models, were evaluated on this benchmark, establishing strong baseline performance for megakaryocyte classification. To ensure reproducibility, we provide standardized five-fold cross-validation partitions along with all original images, annotations, partitioning schemes, and evaluation scripts under open licenses. In conclusion, this work built the first public megakaryocyte subtype classification dataset for automatic morphological assessment development and evaluation, serving as a benchmark for future research.
DOI: 10.6084/m9.figshare.29264819.v7
title: An open bone marrow megakaryocyte dataset for automated morphologic studies

description: Precise classification of megakaryocyte subtypes in bone marrow examination is crucial for the diagnosis and research of various hematological disorders, including Myelodysplastic Syndromes (MDS) and other platelet-production related diseases. While deep learning (DL) has demonstrated remarkable success in medical image classification, its application to megakaryocyte classification has been hindered by the scarcity of high-quality, openly licensed datasets. Therefore, we present MK-11, a dataset comprising 7,204 Wright-Giemsa stained single-cell images across 11 clinically relevant megakaryocyte subtypes. All images were annotated by two experienced hematopathologists with consensus review to ensure annotation quality, following standardized diagnostic criteria. Several state-of-the-art neural networks, including convolutional and transformer-based models, were evaluated on this benchmark, establishing strong baseline performance for megakaryocyte classification. To ensure reproducibility, we provide standardized five-fold cross-validation partitions along with all original images, annotations, partitioning schemes, and evaluation scripts under open licenses. In conclusion, this work built the first public megakaryocyte subtype classification dataset for automatic morphological assessment development and evaluation, serving as a benchmark for future research.
DOI: 10.6084/m9.figshare.29264819.v6
title: An open bone marrow megakaryocyte dataset for automated morphologic studies

description: Precise classification of megakaryocyte subtypes in bone marrow examination is crucial for the diagnosis and research of various hematological disorders, including Myelodysplastic Syndromes (MDS) and other platelet-production related diseases. While deep learning (DL) has demonstrated remarkable success in medical image classification, its application to megakaryocyte classification has been hindered by the scarcity of high-quality, openly licensed datasets. Therefore, we present MK-11, a dataset comprising 7,204 Wright-Giemsa stained single-cell images across 11 clinically relevant megakaryocyte subtypes. All images were annotated by two experienced hematopathologists with consensus review to ensure annotation quality, following standardized diagnostic criteria. Several state-of-the-art neural networks, including convolutional and transformer-based models, were evaluated on this benchmark, establishing strong baseline performance for megakaryocyte classification. To ensure reproducibility, we provide standardized five-fold cross-validation partitions along with all original images, annotations, partitioning schemes, and evaluation scripts under open licenses. In conclusion, this work built the first public megakaryocyte subtype classification dataset for automatic morphological assessment development and evaluation, serving as a benchmark for future research.
DOI: 10.15468/dl.n566wj
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is USBombus, contemporary survey data of North American bumble bees (Hymenoptera, Apidae, Bombus) distributed in the United States",
 "TaxonKey is Bombus moderatus"
 ]
}

 The dataset includes 39 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003203-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upb49g
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dalbergia odorifera",
 "Year 1981-2022"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003204-251025141854904/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.30457922.v1
title: Coding Brain Transcriptome Dryophytes arenicolor

description: Brain coding transcriptome assembled by Trinity
DOI: 10.6084/m9.figshare.30457922
title: Coding Brain Transcriptome Dryophytes arenicolor

description: Brain coding transcriptome assembled by Trinity
DOI: 10.15468/dl.563wsr
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chamaecyparis obtusa formosana",
 "Year 1981-2022"
 ]
}

 The dataset includes 101 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003207-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2aruvk
title: Occurrence Download

description: A dataset containing 26848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lissachatina fulica"
 ]
}

 The dataset includes 26848 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003205-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fekry6
title: Occurrence Download

description: A dataset containing 630 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erebia christi"
 ]
}

 The dataset includes 630 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003206-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/29117
title: Chandra X-ray Observatory ObsId 29117

description: After a Mega-Flare: Surface Magnetic Fields, Particle Ejection and Disk Ionization
DOI: 10.25574/29138
title: Chandra X-ray Observatory ObsId 29138

description: AGN Feedback down the Hierarchy from Clusters to Ellipticals
DOI: 10.25574/29159
title: Chandra X-ray Observatory ObsId 29159

description: The Late-time X-ray Behavior of Short Gamma-ray Bursts: Implications for Energetics and Rates
DOI: 10.25574/29191
title: Chandra X-ray Observatory ObsId 29191

description: A high resolution view of a nearby group as it falls into the core of the Shapley supercluster
DOI: 10.25574/29192
title: Chandra X-ray Observatory ObsId 29192

description: JOINT CHANDRA + XMM-NEWTON OBSERVATIONS TO CHARACTERIZE A GAMMA-RAY BRIGHT PULSAR WIND NEBULA
DOI: 10.34740/kaggle/dsv/13522637
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.7uhcqa
title: Occurrence Download

description: A dataset containing 3630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Geometry POLYGON((-100.07892 18.2153,-97.81736 18.2153,-97.81736 20.27292,-100.07892 20.27292,-100.07892 18.2153))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Podiceps nigricollis",
 "Year 1960-2025"
 ]
}

 The dataset includes 3630 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003208-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57903/uj/chc3dw
title: Reengineering of an Artificial Protein Cage for Efficient Packaging of Active Enzymes - research data

description: Experimental data included in the publication, Reengineering of an Artificial Protein Cage for Efficient Packaging of Active Enzymes.
DOI: 10.15468/dl.a7jzmd
title: Occurrence Download

description: A dataset containing 9015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Syzygium cumini",
 "Year 1981-2022"
 ]
}

 The dataset includes 9015 records from 248 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003209-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54q3dx
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Terminalia neotaliala",
 "Year 1981-2022"
 ]
}

 The dataset includes 324 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003210-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywwe4n
title: Occurrence Download

description: A dataset containing 1030 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calomyrmex"
 ]
}

 The dataset includes 1030 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003211-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyw6qf
title: Occurrence Download

description: A dataset containing 1219 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphipterygium adstringens"
 ]
}

 The dataset includes 1219 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003213-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dddnm
title: Occurrence Download

description: A dataset containing 128012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ailanthus altissima",
 "Year 1981-2022"
 ]
}

 The dataset includes 128012 records from 1129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003130-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fauzmh
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cinara laricis (Hartig, 1839)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009985-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajndpk
title: Occurrence Download

description: A dataset containing 1164 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaenodraco wilsoni Regan, 1914"
 ]
}

 The dataset includes 1164 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009986-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2c9jjh
title: Occurrence Download

description: A dataset containing 14001 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Electrona antarctica (Günther, 1878)"
 ]
}

 The dataset includes 14001 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009988-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u83bwk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((34.02841 -12.08665,34.02796 -12.09356,34.03094 -12.10248,34.03658 -12.10842,34.04216 -12.10983,34.04795 -12.10233,34.05167 -12.09326,34.05345 -12.08955,34.04691 -12.08702,34.04364 -12.08457,34.03554 -12.08442,34.02841 -12.08665))"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009990-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15031989
title: O'QISH DARSLARIDA PIRLS TOPSHIRIQLARIDAN  FOYDALANISH  ORQALI O'QUVCHILARNI  MATNNI  TUSHUNISH  VA TAHLIL QILISHGA O'RGATISH
DOI: 10.5281/zenodo.15031990
title: O'QISH DARSLARIDA PIRLS TOPSHIRIQLARIDAN  FOYDALANISH  ORQALI O'QUVCHILARNI  MATNNI  TUSHUNISH  VA TAHLIL QILISHGA O'RGATISH
DOI: 10.15468/dl.2cpyzn
title: Occurrence Download

description: A dataset containing 520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cinara pilicornis (Hartig, 1841)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 520 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009993-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15031991
title: O'ZBEK VA INGLIZ MADANIYATLARIDA VERBAL AGRESSIYANING SOTSIOLINGVISTIK TAHLILI
DOI: 10.5281/zenodo.15031992
title: O'ZBEK VA INGLIZ MADANIYATLARIDA VERBAL AGRESSIYANING SOTSIOLINGVISTIK TAHLILI