cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3staq6
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera casimiri",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 157 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014014-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qu5rnh
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Thymus mongolicus",
 "Year 1970-2025"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014015-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17180852
title: Molecularly defined cellular atlas of the entire mouse brain with isotropic single-cell resolution

description: This repository provides the data necessary to reproduce the results presented in the article "Molecularly defined cellular atlas of the entire mouse brain with isotropic single-cell resolution", including whole-brain spatial location information of 20 distinct neuron types.

This dataset contains spatial coordinate data regarding the whole-brain distribution of 20 distinct neuron types, formatted as SWC files — a standard format for representing neuronal morphologies. Detailed specifications of the SWC files are as follows: Each line corresponds to information of a single soma point; columns 3–5 represent the spatial coordinates of the soma, which have been uniformly registered to the Common Coordinate Framework version 3 (CCFv3). Specifically, column 3 denotes the left-right(LR) axis, column 4 the dorsal-ventral(DV) axis, and column 5 the anterior-posterior (AP) axis. For each neuron type, 3 independent data samples are provided.

 

In addition, we have developed a Distance Parameter Dataset  to characterize neuronal distribution in the mouse brain. This dataset introduces a novel distance-based parameter (replacing traditional density metrics) to describe neuronal sparsity/density at fine spatial scales and analyze neuronal organizational patterns. The entire mouse brain is partitioned into a 10 µm × 10 µm × 10 µm 3D grid, with each grid serving as a computational unit characterized by a 19-dimensional parameter vector (representing distance parameters of 19 neuron types). Due to the large data volume, this Distance Parameter Dataset cannot be uploaded to the current repository and is instead available for download on our website https://atlas.brainsmatics.cn/MiCAM/.
DOI: 10.5281/zenodo.17180853
title: Molecularly defined cellular atlas of the entire mouse brain with isotropic single-cell resolution

description: This repository provides the data necessary to reproduce the results presented in the article "Molecularly defined cellular atlas of the entire mouse brain with isotropic single-cell resolution", including whole-brain spatial location information of 20 distinct neuron types.

This dataset contains spatial coordinate data regarding the whole-brain distribution of 20 distinct neuron types, formatted as SWC files — a standard format for representing neuronal morphologies. Detailed specifications of the SWC files are as follows: Each line corresponds to information of a single soma point; columns 3–5 represent the spatial coordinates of the soma, which have been uniformly registered to the Common Coordinate Framework version 3 (CCFv3). Specifically, column 3 denotes the left-right(LR) axis, column 4 the dorsal-ventral(DV) axis, and column 5 the anterior-posterior (AP) axis. For each neuron type, 3 independent data samples are provided.

 

In addition, we have developed a Distance Parameter Dataset  to characterize neuronal distribution in the mouse brain. This dataset introduces a novel distance-based parameter (replacing traditional density metrics) to describe neuronal sparsity/density at fine spatial scales and analyze neuronal organizational patterns. The entire mouse brain is partitioned into a 10 µm × 10 µm × 10 µm 3D grid, with each grid serving as a computational unit characterized by a 19-dimensional parameter vector (representing distance parameters of 19 neuron types). Due to the large data volume, this Distance Parameter Dataset cannot be uploaded to the current repository and is instead available for download on our website https://atlas.brainsmatics.cn/MiCAM/.
DOI: 10.15468/dl.ecrh9x
title: Occurrence Download

description: A dataset containing 551 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Saccharum arundinaceum)"
 ]
}

 The dataset includes 551 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014016-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xg7ky9
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "TaxonKey is Cittarium pica"
 ]
}

 The dataset includes 65 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014019-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d47rya
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Thymus mongolicus",
 "Year 1970-2025"
 ]
}

 The dataset includes 45 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014020-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqzmbq
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera elata",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014021-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q38cvt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera elata",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014024-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3u67f
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera elata",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014023-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvyppz
title: Occurrence Download

description: A dataset containing 3947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.82898 4.63738,-73.84002 4.63594,-73.85007 4.57767,-73.83651 4.57617,-73.80989 4.63487,-73.82898 4.63738))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3947 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014022-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17196660
title: RAXIT VA OSTEOMALATSIYA: BOLALARDA VA KATTALARDA KECHISHI
DOI: 10.5281/zenodo.17196661
title: RAXIT VA OSTEOMALATSIYA: BOLALARDA VA KATTALARDA KECHISHI
DOI: 10.6084/m9.figshare.30204301
title: Details and summary of functional annotation of Gynostemma guangxiense

description: Details and summary of functional annotation in five known protein databases including the NR, KEGG, GO, KOG, and Swiss-Prot.
DOI: 10.6084/m9.figshare.30204301.v1
title: Details and summary of functional annotation of Gynostemma guangxiense

description: Details and summary of functional annotation in five known protein databases including the NR, KEGG, GO, KOG, and Swiss-Prot.
DOI: 10.15468/dl.8pz8ef
title: Occurrence Download

description: A dataset containing 3334 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Saccharum spontaneum)"
 ]
}

 The dataset includes 3334 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014025-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.13340
title: Dataset of Balanced Dung Beetle Optimization Algorithms Based on Parameter Replacement and Escape Strategies
title: Dataset of Balanced Dung Beetle Optimization Algorithms Based on Parameter Replacement and Escape Strategies

description: A dataset of balanced beetle optimization algorithm based on parameter replacement and escape strategy 
description: A dataset of balanced beetle optimization algorithm based on parameter replacement and escape strategy
DOI: 10.5281/zenodo.17196656
title: Supplementary materials ( calculation results, related pictures )
DOI: 10.5281/zenodo.17196657
title: Supplementary materials ( calculation results, related pictures )
DOI: 10.15468/dl.7d2wfv
title: Occurrence Download

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

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014027-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb25r9
title: Occurrence Download

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

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014028-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpykau
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera fruticosa",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014029-250920141307145/datasets/export for details.
DOI: 10.15468/dl.w4vry3
title: Occurrence Download

description: A dataset containing 349531 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario Nacional Colombiano (COL)"
 ]
}

 The dataset includes 349531 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014012-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17196673
title: INTERACTION BETWEEN OBESITY AND GUT MICROBIOTA: NEW APPROACHES FOR DIAGNOSIS AND THERAPY
DOI: 10.5281/zenodo.17196674
title: INTERACTION BETWEEN OBESITY AND GUT MICROBIOTA: NEW APPROACHES FOR DIAGNOSIS AND THERAPY
DOI: 10.15468/dl.tegpju
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera fruticosa",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014032-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28keba
title: Occurrence Download

description: A dataset containing 33359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Castor canadensis"
 ]
}

 The dataset includes 33359 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014031-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4q5ayk
title: Occurrence Download

description: A dataset containing 9686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Oceania, Europe)",
 "Geometry POLYGON((-39.11331 -67.76805,182.6902 -67.76805,182.6902 80.10098,-39.11331 80.10098,-39.11331 -67.76805))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyperus difformis"
 ]
}

 The dataset includes 9686 records from 308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014033-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhpuzc
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "TaxonKey is Anomalocardia brasiliana"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014034-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uvr8n
title: Occurrence Download

description: A dataset containing 106232057 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is one of (North America, South America)",
 "Geometry POLYGON((-180 -58,180 -58,180 84,-180 84,-180 -58))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year is 2019"
 ]
}

 The dataset includes 106232057 records from 490 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013894-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0176421.10fu
title: SH0176421.10FU

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/sh0176422.10fu
title: SH0176422.10FU

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/sh0176423.10fu
title: SH0176423.10FU

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/sh0176424.10fu
title: SH0176424.10FU

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: 10.34740/kaggle/dsv/14446340
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15156/bio/sh0176425.10fu
title: SH0176425.10FU

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/sh0176426.10fu
title: SH0176426.10FU

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/sh0176427.10fu
title: SH0176427.10FU

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.