cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1114482.10fu
title: SH1114482.10FU

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/sh1114485.10fu
title: SH1114485.10FU

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/sh1114487.10fu
title: SH1114487.10FU

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/sh1114492.10fu
title: SH1114492.10FU

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/sh1114493.10fu
title: SH1114493.10FU

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/sh1114495.10fu
title: SH1114495.10FU

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/sh1114498.10fu
title: SH1114498.10FU

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.14383473
title: Experimental data on the role of job candidates' physical attractiveness, ethnicity, and gender in hiring

description: Data from a conjoint experiment testing the individual and joint (interaction) effects of attributes such as physical attractiveness, ethnic origin, and gender (among other variables/treatments) on hiring decisions —specifically, the likelihood of calling a potential candidate for a first interview. The sample consists of 356 HR professionals in Spain.
DOI: 10.5281/zenodo.14383474
title: Experimental data on the role of job candidates' physical attractiveness, ethnicity, and gender in hiring

description: Data from a conjoint experiment testing the individual and joint (interaction) effects of attributes such as physical attractiveness, ethnic origin, and gender (among other variables/treatments) on hiring decisions —specifically, the likelihood of calling a potential candidate for a first interview. The sample consists of 356 HR professionals in Spain.
DOI: 10.24381/cds.8a2d56ee
title: Daily and monthly Global Interpolated RAinFall Estimation (GIRAFE) data derived from satellite observations
DOI: 10.15468/dl.5r8p9q
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Argyrolobium incanum Eckl. & Zeyh."
 ]
}

 The dataset includes 69 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029851-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbg4a2
title: Occurrence Download

description: A dataset containing 5229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombax ceiba L."
 ]
}

 The dataset includes 5229 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029852-241126133413365/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.28001120
title: Baseline variables and T0 and T3 cognitive Z-scores

description: Sheet of baseline variables and cognitive Z-scores at T0 and T3 of 63 glioma patients
DOI: 10.6084/m9.figshare.28001120.v1
title: Baseline variables and T0 and T3 cognitive Z-scores

description: Sheet of baseline variables and cognitive Z-scores at T0 and T3 of 63 glioma patients
DOI: 10.6084/m9.figshare.28000559
title: Structural connectivity matrices

description: Structural connectivity matrices of 63 glioma patients, using ROIs derived from SLANT segmentation (https://github.com/MASILab/SLANTbrainSeg) and weighted using SIFT2 (https://github.com/MRtrix3/mrtrix3).Code for generating these matrices from diffusion-weighted MRI data of glioma patients can be found on Github (https://github.com/larssmolders/predicting-postop-impairment)
DOI: 10.18112/openneuro.ds005687.v1.0.1
title: 2016GinRatAnesth
DOI: 10.15468/dl.kaz2md
title: Occurrence Download

description: A dataset containing 1887 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grimmia incurva Schwägr."
 ]
}

 The dataset includes 1887 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029854-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14383408
title: Tanggapan terhadap Pasal 188, Pasal 189, dan Pasal 190 UU No. 1 Tahun 2023 tentang KUHP dalam Kaitannya dengan Demokrasi
title: tugas ilmu negara
DOI: 10.5281/zenodo.14383409
title: Tanggapan terhadap Pasal 188, Pasal 189, dan Pasal 190 UU No. 1 Tahun 2023 tentang KUHP dalam Kaitannya dengan Demokrasi
title: tugas ilmu negara
DOI: 10.15468/dl.vpq46w
title: Occurrence Download

description: A dataset containing 6042 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grimmia longirostris Hook."
 ]
}

 The dataset includes 6042 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029855-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5m8w8e
title: Occurrence Download

description: A dataset containing 727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is May",
 "TaxonKey is one of (Acleris issikii Oku, 1957, Acleris nishidai Brown, 2008, Acleris minuta (Robinson, 1869), Acleris senescens (Zeller, 1874), Acleris semipurpurana (Kearfott, 1905), Acleris robinsoniana (Forbes, 1923), Acleris nivisellana (Walsingham, 1879))"
 ]
}

 The dataset includes 727 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029856-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14351668
title: BioSR for LLS-SIM: Dataset of Fibrillar Center

description: This is LLS-SIM dataset of Fibrillar Center, which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.5281/zenodo.14351669
title: BioSR for LLS-SIM: Dataset of Fibrillar Center

description: This is LLS-SIM dataset of Fibrillar Center, which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.6084/m9.figshare.27860341
title: Isolation and analysis of the exosomal membrane proteins in bullous pemphigoid

description: Bullous pemphigoid (BP) is a severe autoimmune sub-epidermal bullous disease. Exosomes are small extracellular vesicles secreted by most cell types. The exosomal membrane proteins are implicated in various biological and pathological pathways. This study aims to explore the potential roles of exosomes in BP pathomechanism. We collected plasma samples from 30 BP patients and 31 healthy controls. Nanoparticle tracking analysis (NTA) was used to analyze the size and concentration of exosomes. The immunogold labelling experiment and extracellular vesicle (EV) array were performed to detect the content and distribution of exosomes. The exosomes from both the BP and control groups’ plasma were successfully extracted. EV Array showed that CD63 and CD9 levels were significantly higher in the BP group than in the control group (<i>p</i> &lt; 0.05). Expression levels of the BP180 NC16A and intracellular domain (ICD) were higher in the anti-BP180 positive group versus the controls (<i>p</i> &lt; 0.05). The active BP group exhibits higher CD63 and BP180 ICD protein concentrations than the control or inactive BP groups (<i>p</i> &lt; 0.05). BP180 autoantigen fragments were expressed on the exosomal membrane in BP patients. The BP180 ICD and CD63 on exosomes could potentially be novel biomarkers for monitoring disease activity.
DOI: 10.6084/m9.figshare.27860341.v1
title: Isolation and analysis of the exosomal membrane proteins in bullous pemphigoid

description: Bullous pemphigoid (BP) is a severe autoimmune sub-epidermal bullous disease. Exosomes are small extracellular vesicles secreted by most cell types. The exosomal membrane proteins are implicated in various biological and pathological pathways. This study aims to explore the potential roles of exosomes in BP pathomechanism. We collected plasma samples from 30 BP patients and 31 healthy controls. Nanoparticle tracking analysis (NTA) was used to analyze the size and concentration of exosomes. The immunogold labelling experiment and extracellular vesicle (EV) array were performed to detect the content and distribution of exosomes. The exosomes from both the BP and control groups’ plasma were successfully extracted. EV Array showed that CD63 and CD9 levels were significantly higher in the BP group than in the control group (<i>p</i> &lt; 0.05). Expression levels of the BP180 NC16A and intracellular domain (ICD) were higher in the anti-BP180 positive group versus the controls (<i>p</i> &lt; 0.05). The active BP group exhibits higher CD63 and BP180 ICD protein concentrations than the control or inactive BP groups (<i>p</i> &lt; 0.05). BP180 autoantigen fragments were expressed on the exosomal membrane in BP patients. The BP180 ICD and CD63 on exosomes could potentially be novel biomarkers for monitoring disease activity.
DOI: 10.15468/dl.j934vs
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vespa soror Buysson, 1905)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 297 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029857-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efsen5
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grimmia macrotheca Mitt."
 ]
}

 The dataset includes 24 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029858-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17864/1947.001327
title: Dataset supporting paper 'Extracellular vesicles from patients with coronary artery disease (CAD) demonstrate enhanced pro-coagulatory activity'

description: This dataset includes all reports and summaries of raw data supporting the results presented in the paper 'Extracellular vesicles from patients with coronary artery disease (CAD) demonstrate enhanced pro-coagulatory activity'. The objective of this paper is to investigate the relationships between circulating extracellular vesicles (EVs), thrombin generation and protein cargo between patients with coronary artery disease and control patients. A total of 60 subjects (aged 18~100yrs) consisting of 40 patients with confirmed CAD and 20 matched controls were recruited for the study. Venous and arterial blood samples (30ml each) were collected from patients undergoing invasive coronary angiography.

Data about EVs parameters include: 1) the numbers and size of circulating total EVs measured by Nanoparticle Tracking Analysis (NTA); 2) the numbers of EV subpopulations (i.e. phosphatidylserine-positive EVs (PS+EVs), platelet-derived EVs (PDEVs) and endothelial-derived EVs (EDEVs)) measured by flow cytometry (FCM); 3) the pro-coagulatory activity of circulating EVs (in vitro thrombogenic potential in activating tissue factor-dependent thrombin generation) measured by thrombin generation assay; 4) biological protein cargo measured by proteomics. Baseline data including: plasma lipid profile (i.e. triacylglycerol (TAG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and BMI were provided by the hospital.
DOI: 10.15468/dl.u89xjj
title: Occurrence Download

description: A dataset containing 1133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.16737 50.8684,-5.32337 48.57709,-0.48349 47.60912,3.38841 49.16479,12.20391 49.23393,13.89787 53.17498,11.89913 62.07879,10.82109 65.30924,3.31927 64.37584,-6.15306 63.99556,-5.27158 54.06414,-5.16737 50.8684))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squalus acanthias Linnaeus, 1758",
 "Year 2010-2024"
 ]
}

 The dataset includes 1133 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029859-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gs4bq5
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grimmia mammosa C.Gao & T.Cao"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029860-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.