cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0196708.10fu
title: SH0196708.10FU

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/sh0196709.10fu
title: SH0196709.10FU

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/sh0196710.10fu
title: SH0196710.10FU

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/sh0196711.10fu
title: SH0196711.10FU

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/sh0196712.10fu
title: SH0196712.10FU

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/sh0196713.10fu
title: SH0196713.10FU

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.jjsdrk
title: Occurrence Download

description: A dataset containing 28395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Taricha torosa (Rathke, 1833))"
 ]
}

 The dataset includes 28395 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000121-250213122211068/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.26513233
title: <b>Source data</b>

description: G protein-coupled receptors (GPCRs) are key pharmacological targets, yet many remain underutilized due to unknown activation mechanisms and ligands. Orphan GPCRs, lacking identified natural ligands, are a high priority for research, as identifying their ligands will aid in understanding their functions and potential as drug targets. Most GPCRs, including orphans, couple to G<sub>i/o/z</sub> family members, however current assays to detect their activation are limited, hindering ligand identification efforts.We introduce G<sub>Z</sub>ESTY, a highly sensitive, cell-based assay developed in an easily deliverable format designed to study the pharmacology of G<sub>i/o/z</sub>-coupled GPCRs and assist in deorphanization. We optimized assay conditions and developed an all-in-one vector employing novel cloning methods to ensure the correct expression ratio of G<sub>Z</sub>ESTY components. G<sub>Z</sub>ESTY successfully assessed activation of a library of ligand-activated GPCRs, detecting both full and partial agonism, as well as responses from endogenous GPCRs. Notably, with G<sub>Z</sub>ESTY we established the presence of endogenous ligands for GPR176 and GPR37 in brain extracts, validating its use in deorphanization efforts. This assay enhances the ability to find ligands for orphan GPCRs, expanding the toolkit for GPCR pharmacologists.
DOI: 10.6084/m9.figshare.26513233.v1
title: <b>Source data</b>

description: G protein-coupled receptors (GPCRs) are key pharmacological targets, yet many remain underutilized due to unknown activation mechanisms and ligands. Orphan GPCRs, lacking identified natural ligands, are a high priority for research, as identifying their ligands will aid in understanding their functions and potential as drug targets. Most GPCRs, including orphans, couple to G<sub>i/o/z</sub> family members, however current assays to detect their activation are limited, hindering ligand identification efforts.We introduce G<sub>Z</sub>ESTY, a highly sensitive, cell-based assay developed in an easily deliverable format designed to study the pharmacology of G<sub>i/o/z</sub>-coupled GPCRs and assist in deorphanization. We optimized assay conditions and developed an all-in-one vector employing novel cloning methods to ensure the correct expression ratio of G<sub>Z</sub>ESTY components. G<sub>Z</sub>ESTY successfully assessed activation of a library of ligand-activated GPCRs, detecting both full and partial agonism, as well as responses from endogenous GPCRs. Notably, with G<sub>Z</sub>ESTY we established the presence of endogenous ligands for GPR176 and GPR37 in brain extracts, validating its use in deorphanization efforts. This assay enhances the ability to find ligands for orphan GPCRs, expanding the toolkit for GPCR pharmacologists.
DOI: 10.5281/zenodo.14865586
title: Dose-response dataset of the adverse effects class of Ag, TiO2, and CuO nanoparticles (NPs) against the HepaRG cell line

description: Dose-response dataset of the adverse effects class of Ag, TiO2, and CuO nanoparticles (NPs) against the HepaRG cell line. The data are enriched with the NPs atomistic descriptors calculated using the ASCOT software (https://www.enaloscloud.novamechanics.com/sabydoma/ascot/). More information on the data can be found in: in vitro toxicity experiments . Access the relevant model through the Enalos Cloud Platform: SafeNanoScope.)



The dataset was originally published on the NanoPharos Database.

More datasets are available via the NanoPharos Database.
DOI: 10.5281/zenodo.14865587
title: Dose-response dataset of the adverse effects class of Ag, TiO2, and CuO nanoparticles (NPs) against the HepaRG cell line

description: Dose-response dataset of the adverse effects class of Ag, TiO2, and CuO nanoparticles (NPs) against the HepaRG cell line. The data are enriched with the NPs atomistic descriptors calculated using the ASCOT software (https://www.enaloscloud.novamechanics.com/sabydoma/ascot/). More information on the data can be found in: in vitro toxicity experiments . Access the relevant model through the Enalos Cloud Platform: SafeNanoScope.)



The dataset was originally published on the NanoPharos Database.

More datasets are available via the NanoPharos Database.
DOI: 10.15468/dl.vunxyv
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagmatias obliquidens (Gill, 1865)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000123-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zsru4
title: Occurrence Download

description: A dataset containing 2840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Didelphis albiventris Lund, 1840",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2840 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000124-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9dnbp
title: Occurrence Download

description: A dataset listing the 52 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bonaire Estafette Expedition 2022/2023 - Araneae"
 ]
}

 The dataset's 52 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000117-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34770/t05s-rc51
title: Data for "Thermal Response of a Lithium Vapor Divertor to Cyclical Operation"

description: This repository provides the data which is plotted in the figures of the
 article titled "Thermal Response of a Lithium Vapor Divertor to
 Cyclical Operation", published in the Journal of Fusion Energy, 2025.
DOI: 10.6084/m9.figshare.28409135
title: poleward flux

description: <b>Modeling studies of the mechanism of spindle stability and poleward flux regulating spindle length during metaphas</b>
DOI: 10.6084/m9.figshare.23799378
title: High-throughput sequencing dataset of plant root DNA metabarcoding

description: Amplicon sequence data used in the project "<b>Land-use changes impact root-fungal network connectivity in a global biodiversity hotspot</b>"— Illumina tru-seq data (DNA metabarcoding, rbcL sequences).Spreadsheet Data S1 Topological node roles of plant-fungal network, modules composition, node connectivity, participation coefficients, and the significance of certain nodes as indicator taxa.Spreadsheet Data S2 Pearson co-occurrence correlation table and adjusted p-value for plant roots and fungi detected in the four land-use systems.
DOI: 10.6084/m9.figshare.23799378.v1
title: Plant roots DNA metabarcoding

description: Amplicon sequence data used in the project "<b>Land-use changes impact root-fungal network connectivity in a global biodiversity hotspot</b>"— Illumina tru-seq data (DNA metabarcoding, rbcL sequences).Spreadsheet Data S1 Topological node roles of plant-fungal network, modules composition, node connectivity, participation coefficients, and the significance of certain nodes as indicator taxa.Spreadsheet Data S2 Pearson co-occurrence correlation table and adjusted p-value for plant roots and fungi detected in the four land-use systems.
DOI: 10.15468/dl.26d4eg
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthocybium solandri (Cuvier, 1832)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000126-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47n4j3
title: Occurrence Download

description: A dataset containing 6393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Thamnophis cyrtopsis (Kennicott, 1860))"
 ]
}

 The dataset includes 6393 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000125-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5036062
title: Breast Micro-Calcifications Dataset with Precisely Annotated Sequential Mammograms

description: <strong>Breast Micro-Calcifications Dataset with Precisely Annotated Sequential Mammograms</strong> <strong>Citing the Dataset</strong> The dataset is released under a Creative Commons Attribution license, so please cite the dataset if it is used in your work in any form. Published academic papers should use the academic paper citation for our paper. Personal works, such as projects or blog posts, should provide a URL to this Zenodo page, though a reference to our paper would also be appreciated. <em>Academic paper citation</em> Loizidou, K., Skouroumouni, G., Pitris, C. <em>et al.</em> Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications. <em>Eur Radiol Exp</em> <strong>5, </strong>40 (2021). https://doi.org/10.1186/s41747-021-00238-w <em>Personal use citation</em> Include a link to this Zenodo page - 10.5281/zenodo.5036062 <strong>ACKNOWLEDGMENT</strong> This research is funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 739551 (KIOS CoE) and from the Republic of Cyprus through the Directorate General for European Programs, Coordination and Development. <strong>Contact Information</strong> If you would like further information about the dataset, or if you experience any issues downloading files, please contact us at cloizi01@ucy.ac.cy. <strong>General Information</strong> This dataset consists of 100 pairs of mammograms, from two temporally sequential rounds. Specifically, this dataset includes the prior and recent mammograms of CC and MLO view of each patient. This is a complete dataset for the detection and BI-RADS classification of breast micro-calcifications, using digital mammograms. It contains normal (BI-RADS 1), benign (BI-RADS 2), and suspicious (BI-RADS 4-5) cases, and for each mammogram, an image with precise annotation of each individual micro-calcification, by two expert radiologists, is provided. In 32 suspicious cases, the biopsy results are also available. <strong>More details are available in the README.txt</strong>
description: Another dataset related only to breast masses can be accessed here: 10.5281/zenodo.7179856 Breast Masses Dataset with Precisely Annotated Sequential Mammograms
DOI: 10.5281/zenodo.7969411
title: Breast Micro-Calcifications Dataset with Precisely Annotated Sequential Mammograms

description: Breast Micro-Calcifications Dataset with Precisely Annotated Sequential Mammograms


Citing the Dataset


The dataset is released under a Creative Commons Attribution license, so please cite the dataset if it is used in your work in any form. Published academic papers should use the academic paper citation for our paper.  Personal works, such as projects or blog posts, should provide a URL to this Zenodo page, though a reference to our paper would also be appreciated.


Academic paper citation


Loizidou, K., Skouroumouni, G., Pitris, C. et al. Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications. Eur Radiol Exp 5, 40 (2021). https://doi.org/10.1186/s41747-021-00238-w


Personal use citation


Include a link to this Zenodo page - 10.5281/zenodo.5036062


ACKNOWLEDGMENT


This research is funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 739551 (KIOS CoE) and from the Republic of Cyprus through the Directorate General for European Programs, Coordination and Development.


Contact Information


If you would like further information about the dataset, or if you experience any issues downloading files, please contact us at cloizi01@ucy.ac.cy.


General Information


This dataset consists of 100 pairs of mammograms, from two temporally sequential rounds. Specifically, this dataset includes the prior and recent mammograms of CC and MLO view of each patient. This is a complete dataset for the detection and BI-RADS classification of breast micro-calcifications, using digital mammograms. It contains normal (BI-RADS 1), benign (BI-RADS 2), and suspicious (BI-RADS 4-5) cases, and for each mammogram, an image with precise annotation of each individual micro-calcification, by two expert radiologists, is provided. In 32 suspicious cases, the biopsy results are also available.


More details are available in the README.txt
description: Another dataset related only to breast masses can be accessed here: 10.5281/zenodo.7179856
Breast Masses Dataset with Precisely Annotated Sequential Mammograms
DOI: 10.15468/dl.7hncwf
title: Occurrence Download

description: A dataset listing the 30 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bonaire Estafette Expedition 2022/2023 - Orthopteroids"
 ]
}

 The dataset's 30 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000122-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14863453
title: Dataset for publication 10.1016/j.molliq.2024.124402

description: The dataset presents raw data from the SAXS experiment reffering to the publication 10.1016/j.molliq.2024.124402 The files description is included in the file: Journal_of_Molecular_Liquids_description.xlsx
DOI: 10.5281/zenodo.14863454
title: Dataset for publication 10.1016/j.molliq.2024.124402

description: The dataset presents raw data from the SAXS experiment reffering to the publication 10.1016/j.molliq.2024.124402 The files description is included in the file: Journal_of_Molecular_Liquids_description.xlsx
DOI: 10.3886/e218843v1
title: Risk Taking, Emotional Dysregulation and Maladaptive Personality Traits.

description: This data was used in a study to understand the relationship between Risk-taking and Maladaptive personality traits. Difficulty in emotional regulation was the mediating variable. A convenience sample of 242 participants between the ages of 18 and 25 years participated in this study and completed the Domain-Specific Risk-Taking Questionnaire, Personality Inventory for DSM-5 Brief Format, and Difficulties in Emotion Regulation Scale. Correlation, Multiple linear regression, and mediation analysis were performed.
DOI: 10.5281/zenodo.14865611
title: Computational descriptors of energy minimized Ag, CuO, TiO2 Anatase and Rutile NPs calculated using ASCOT

description: Dataset of atomistic computational descriptors for a range of diameters of Ag, CuO, TiO2 Anatase and Rutile NPs calculated using ASCOT. This dataset can be used to enrich experimental datasets of the above materials (58 NPs - License: CC-BY 4.0).



The dataset was originally published on the NanoPharos Database.

More datasets are available via the NanoPharos Database.
DOI: 10.5281/zenodo.14865612
title: Computational descriptors of energy minimized Ag, CuO, TiO2 Anatase and Rutile NPs calculated using ASCOT

description: Dataset of atomistic computational descriptors for a range of diameters of Ag, CuO, TiO2 Anatase and Rutile NPs calculated using ASCOT. This dataset can be used to enrich experimental datasets of the above materials (58 NPs - License: CC-BY 4.0).



The dataset was originally published on the NanoPharos Database.

More datasets are available via the NanoPharos Database.
DOI: 10.15468/dl.qth4gt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cybium solandri Cuvier, 1832",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000128-250213122211068/datasets/export for details.