cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0215451.10fu
title: SH0215451.10FU

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/sh0215452.10fu
title: SH0215452.10FU

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/sh0215453.10fu
title: SH0215453.10FU

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/sh0215454.10fu
title: SH0215454.10FU

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/sh0215455.10fu
title: SH0215455.10FU

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/sh0215456.10fu
title: SH0215456.10FU

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/sh0215457.10fu
title: SH0215457.10FU

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: 10.5281/zenodo.14970164
title: mineral chemistry and Olivine grain analysis from dunite and harzburgites from Nidar Ophiolitic Complex, Ladakh, NW India
DOI: 10.5281/zenodo.14970165
title: mineral chemistry and Olivine grain analysis from dunite and harzburgites from Nidar Ophiolitic Complex, Ladakh, NW India
DOI: 10.60656/ed1e56c707454f97
title: Custom collection of classification data from Hyytiälä between 1 Jan and 31 Dec 2024
DOI: 10.6084/m9.figshare.28236788
title: Publication Metadata

description: This metadata is organized to develop an inventory of study sites for Korean Quaternary paleoecology research. The further details of data extracted from these 66 publications are explained at https://doi.org/10.6084/m9.figshare.28236596.This dataset includes bibliographic data of articles (<i>n</i> = 66) regarding Korean Quaternary Paleoecology published in peer-reviewed Korean and international journals between 2003 and 2023. The dataset is formatted with nine categories: 1) PublicationID, 2) Authors, 3) Publication Year, 4) Title, 5) Journal, 6) Vol.Issue.Num.Pages, 7) DOI, 8) Written language, and 9) type of study site. Regarding type of study sites, the publications are broadly categorized into two groups based on the primary goals of the sampling: paleo-site for sediment record and surface site for modern surface sample. <br>
DOI: 10.5281/zenodo.14000636
title: Up sampled PSF datasets: demo dataset and SMLM dataset

description: Demo1 corresponds to the simulated data files, while Demo2 corresponds to the experimental data files. Nup96-AF647 corresponds to the SMLM data files.
DOI: 10.5281/zenodo.14000637
title: Up sampled PSF datasets: demo dataset

description: Demo1 corresponds to the simulated data files, while Demo2 corresponds to the experimental data files.
DOI: 10.5281/zenodo.14938728
title: Up sampled PSF datasets: demo dataset and SMLM dataset

description: Demo1 corresponds to the simulated data files, while Demo2 corresponds to the experimental data files. Nup96-AF647 corresponds to the SMLM data files.
DOI: 10.25345/c5dr2pn0c
title: MassIVE MSV000097239 - Hematopoeitic stem cells target triple-negative breast cancer via altering mitochondrial bioenergetics
title: Hematopoietic stem cells (HSCs) are known for their regenerative potential in the blood system. This study reveals a novel therapeutic potential of hematopoietic stem cells (HSCs) against triple-negative breast cancer stem cells (TNBC-CSCs). HSCs exhibited tropism towards TNBC-CSCs, themselves differentiated into T cells within the tumor microenvironment, leading to targeted cell killing of TNBC-CSCs. In addition, paracrine signaling from HSC-conditioned media (CM) induced metabolic stress in TNBC-CSCs and disrupted key metabolic pathways. HSC-CM also disrupted mitochondrial dynamics and function, leading to DNA damage and apoptosis. Critically, HSC-CM impaired TNBC-CSC stemness/downregulating stemness genes leading to inhibition in 3D spheroid formation. Hence, we, in this study, highlight HSCs as a promising therapeutic strategy for targeting TNBC-CSCs via disrupted metabolic homeostasis and self-renewal. Samples were acquired in Q Exactive and the data was analysed in CD v3.2
DOI: 10.11583/dtu.21394635.v1
title: Data for: Shear failures in pile caps: governing mechanisms and influence of size on the resistance

description: This data set contains the complete experimental results of a series of 15 structural tests on scaled RC pile caps. The tests are described and analyzed in:"Shear failures in pile caps: governing mechanisms and influence of size on the resistance"published in Structural Concrete.In the paper, the experimental setup, selected results, and examples of how the material can be interpreted are presented. The reader is referred to the publication for an in-depth description and explanation of the results.This sample contains a Read-me.txt file that introduces the format of the dataset and the files included. The data is supplemented with images for the purpose of 2D Digital Image Correlation, images of the experimental setup, and details on the load cell including calibration records.This dataset contains the following files:0 - "Readme.txt" - (this file) containing metadata end explanations to the data set.<br>A - "Pictures_Setup.zip" containing images of the experimental setups adopted in the campaign.B - "PC_Results_all_txt.zip" - a .zip folder containing all experimental records in .txt format.<br> Specimens PC250_1 and PC500_1 are not included.C - "Load Cell.zip" containing information on and results of calibration a custom made load cell equipped with strain gauges.<br>D - "DT calibrations.zip" containing results of calibrations of the used Displacement Tranducers.E - "Post-test pictures.zip" a .zip folder containing post-test images of the specimens, including images taken after cutting.<br>F - "Animation Strain Fields.zip" - example of combined 2D DIC analysis on two surfaces of selected specimens.G - "DIC Load Stage Relation.zip" - selected relations of measured displacement and load at the individual DIC stages. <br>H - "Images_PCxxx.zip" - All images taken for the purpose of 2D DIC analysis.
DOI: 10.11583/dtu.21394635
title: Data for: Shear failures in pile caps: governing mechanisms and influence of size on the resistance

description: This data set contains the complete experimental results of a series of 15 structural tests on scaled RC pile caps. The tests are described and analyzed in:"Shear failures in pile caps: governing mechanisms and influence of size on the resistance"published in Structural Concrete.In the paper, the experimental setup, selected results, and examples of how the material can be interpreted are presented. The reader is referred to the publication for an in-depth description and explanation of the results.This sample contains a Read-me.txt file that introduces the format of the dataset and the files included. The data is supplemented with images for the purpose of 2D Digital Image Correlation, images of the experimental setup, and details on the load cell including calibration records.This dataset contains the following files:0 - "Readme.txt" - (this file) containing metadata end explanations to the data set.<br>A - "Pictures_Setup.zip" containing images of the experimental setups adopted in the campaign.B - "PC_Results_all_txt.zip" - a .zip folder containing all experimental records in .txt format.<br> Specimens PC250_1 and PC500_1 are not included.C - "Load Cell.zip" containing information on and results of calibration a custom made load cell equipped with strain gauges.<br>D - "DT calibrations.zip" containing results of calibrations of the used Displacement Tranducers.E - "Post-test pictures.zip" a .zip folder containing post-test images of the specimens, including images taken after cutting.<br>F - "Animation Strain Fields.zip" - example of combined 2D DIC analysis on two surfaces of selected specimens.G - "DIC Load Stage Relation.zip" - selected relations of measured displacement and load at the individual DIC stages. <br>H - "Images_PCxxx.zip" - All images taken for the purpose of 2D DIC analysis.
DOI: 10.15468/dl.zgzx3g
title: Occurrence Download

description: A dataset containing 448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Litsea pungens Hemsl.",
 "Year 1970-2025"
 ]
}

 The dataset includes 448 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005780-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44v36p
title: Occurrence Download

description: A dataset containing 1575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Usnea Dill. ex Adans., 1763"
 ]
}

 The dataset includes 1575 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005769-250227182400228/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.28538387
title: A549_L_ctrl_rep2_norRPKM.bw

description: bigwigs for test
DOI: 10.6084/m9.figshare.28538387.v1
title: A549_L_ctrl_rep2_norRPKM.bw

description: bigwigs for test
DOI: 10.6084/m9.figshare.28538495
title: Questionaire Reply Data.xlsx

description: <b>The data is aggregated from Indian CFITs institutions regarding the adoption of the QR Codes in their Libraries and how it bridges the physical and digital Resources</b>
DOI: 10.15468/dl.rx2mtx
title: Occurrence Download

description: A dataset containing 20162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Vachellia Wight & Arn."
 ]
}

 The dataset includes 20162 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005781-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypn8mh
title: Occurrence Download

description: A dataset containing 20162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Vachellia Wight & Arn."
 ]
}

 The dataset includes 20162 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005770-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebuua4
title: Occurrence Download

description: A dataset containing 132749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Barbarea vulgaris (L.) W.T.Aiton)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 132749 records from 1106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005768-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.va6wsj
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Sindora glabra Merr. ex de Wit"
 ]
}

 The dataset includes 34 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005782-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djbggc
title: Occurrence Download

description: A dataset containing 1351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Barleria cristata L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 1351 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005784-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jt37fs
title: Occurrence Download

description: A dataset listing the 120 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Vachellia Wight & Arn."
 ]
}

 The dataset's 120 records were derived from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005771-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-4791
title: Replication Data for: Origin of Stereoselectivity in Ring Opening Metathesis Polymerization with Cationic Molybdenum Imido Alkylidene CAAC Complexes

description: This dataset includes the NMR (1H, 19F and 13C) of the novel catalysts used in this article, the single crystal X-ray structure of a catalyst, and the proton NMR of the polymers.
DOI: 10.15468/dl.5kks4s
title: Occurrence Download

description: A dataset containing 1228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Barleria prionitis L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 1228 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005785-250227182430271/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.28236596
title: A geospatial inventory dataset of study sites in a Korean Quaternary paleoecology database

description: We developed three datasets: <b>1. Publication Metadata</b>, <b>2. Site Inventory, and 3. Chron-Depth Collection</b>. The first two datasets are linked through Publication ID, and the last two datasets through Site ID (Figure 2). The Site Inventory dataset serves as the core of the other two datasets, including key information on study site and sample metadata (Table 1). The Publication Metadata contains citation details of the 66 articles covering study sites in the inventory dataset. The Chron-Depth Collection comprises chronological information used for sediment records of the sites.Details of each dataset follow as:<b>Publication Metadata</b> is organized to develop an inventory of study sites for Korean Quaternary paleoecology research. This dataset includes bibliographic data of articles (<i>n</i> = 66) regarding Korean Quaternary Paleoecology published in peer-reviewed Korean and international journals between 2003 and 2023. The dataset is formatted with nine categories: PublicationID, Authors, Publication Year, Title, Journal, Vol.Issue.Num.Pages, DOI, Written language, and type of study site. Regarding type of study sites, the publications are broadly categorized into two groups based on the primary goals of the sampling: paleo-site for sediment record and surface site for modern surface sample.<b>Site Inventory</b> has three worksheets: a) Inventory dataset has metadata from Korean Quaternary paleoenviromental research papers (n = 66) published in peer-reviewed journals between 2003 and 2023 (the publication list is found in the first data file, "Publication Metadata.xlsx"); b) Column description provides definitions for each column in the Inventory dataset worksheet; and c) Other Proxy Abbreviations<b> </b>explains the abbreviations used for proxies in the "Other Proxies" column of the Inventory Dataset worksheet.<b>Chron-Depth Collection</b> represents a total of 784 geochronological data from 72 Quaternary sediment records in South Korea. It comprises two worksheets:<b> </b>a) Chron-Depth dataset contains 9 columns, SiteID (corresponding to SiteID of the second data file, "Site Inventory.xlsx"), Dating method, SampleID, Material, Age_yrBP, Age.Err_yrBP, Depth_cm, d13C_per_mil, and d13C_error_per_mill, and b) Column description explains the definition of each column the 9 columns in the Chron-Depth dataset worksheet.<br>