cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18154/rwth-2025-00315
title: Dataset to: "Impact of a short training on the recognition of excessively deep chest compressions during video-assisted cardiopulmonary resuscitation: a randomized controlled simulation trial"

description: doi:10.18154/RWTH-2025-00315
description: The study was approved by the local Ethics Committee and registered in the German Clinical Trials Register on 27th of February 2024 (DRKS00032661) prior to inclusion of the first participant. 90 paramedics and emergency physicians were randomized into one of two groups: “no training” and “training”- group. In both groups, participants analysed 42 video sequences showing seven typical errors during CPR using a standardized questionnaire. The shown CPR´s were simulated on a training manikin. Members of the “training”-group took part in a training course regarding excessively compression depth in advance. The primary endpoint was the accurate evaluation of the presented videos with too deep compression depth. Secondary endpoints were correct classification depending on the presented mistake and mentioning of additional mistakes (not seen in the video) depending on the training level, subjective certainty regarding the assessment of a video CPR and openness of the test persons towards the integration of video instructions of laypersons into their daily work. For the analysis of the primary endpoint, the Mann-Whitney U test was performed. Data of the secondary endpoints including the participants´ questionnaire responses regarding potential parameters influencing the ability to recognize errors were analysed descriptively, with normally distributed data presented as mean ± standard deviation (SD). For the secondary endpoint, a chi-square test was performed to determine whether there was a discrepancy in the detection rate of errors across all categories between the two study groups. To assess the performance of the untrained categories individually, a Mann-Whitney U-test was conducted. Given the execution of multiple Mann-Whitney-U-tests to compare seven categories, a Bonferroni correction was used by dividing the original significance level of α = 0.05 by the number of tests conducted (7 tests). A dependent two-tailed t-test was utilized to assess the pre- and post-training confidence levels of the participants. Additionally, an independent two-tailed t-test was employed to compare the two groups in regard to their openness to integrating video-assisted CPR into their regular working routines. All data were gathered in anonymous form and SPSS (version 29) was used for statistical analyses.
DOI: 10.15468/dl.ad3sxa
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ribes aureum",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002919-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqvp5q
title: Occurrence Download

description: A dataset containing 333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ribes aureum",
 "Country is Hungary",
 "HasCoordinate is true"
 ]
}

 The dataset includes 333 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002920-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czq6sf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo pelagonicus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002921-250827131500795/datasets/export for details.
DOI: 10.15468/dl.bq4x8d
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ribes aureum",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002922-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wkbwd
title: Occurrence Download

description: A dataset containing 975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sycopsis sinensis"
 ]
}

 The dataset includes 975 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002923-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w479db
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ribes aureum",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 237 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002925-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mky9xt
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ribes aureum",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002924-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/y214-nm94
title: "Leveraging the potential of 4th, 6th and 8th order Cyclci Cumulants for effective modulation classification."

description: "This data comprises .mat matrices used in the process of AMC using deep learning classifiers. It is composed of two raw I\/Q matrices generated in matlab, the Cyclic Cumulants computedd from them and the algorithm used for their extraction. The I\/Q samples contain eight sets of 50000 signals representing 8 different digital modulations types generated with the same parameters. Carrier Frequency Offset (CFO) is the main difference between the two samples. CFO has been considered in the computation of one sample and have been neglected in the computation\/generation of the other. The modulation types include BPSK, MSK, QPSK, 16QAM\uff0c 8PSK\uff0c 64QAM\uff0c 256QAM and \u03c0\/4-DQPSK."
DOI: 10.15468/dl.5ppnnu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetomorpha patentiramea",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002926-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/8md9-2778
title: "datasets of total cumulative cases of world Mpox"

description: "The dataset tracks the performance of the total cumulative cases of world Mpox. The time period is from the 1st of May 2022 to the 9th of May 2023."
DOI: 10.15468/dl.uqwjp3
title: Occurrence Download

description: A dataset containing 55252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Euphorbia peplis"
 ]
}

 The dataset includes 55252 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002844-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upvsn4
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ribes aureum",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002927-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dy7n28
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scardinius graecus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002928-250827131500795/datasets/export for details.
DOI: 10.15468/dl.jcfh5n
title: Occurrence Download

description: A dataset containing 444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liquidambar orientalis"
 ]
}

 The dataset includes 444 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002929-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbbt8m
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Macao, Hong Kong)",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthus blitoides S.Watson"
 ]
}

 The dataset includes 53 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022301-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13nf6td
title: Data from surface water and sediment nutrient processing experiments associated with the Maumee River (Toledo, OH) during the 2021 growing season

description: River-to-lake transitional zones or rivermouths are biogeochemically active sections of the aquatic continuum that are often understudied compared to their adjoining environments. Internal nutrient loading from these transitional zones may be a considerable source of nutrients to lakes and disconnect upstream management initiatives from in-lake improvements. To contextualize internal nutrient loading by rivermouth sediments, we conducted sediment core incubations and nutrient assays at three timepoints over a growing season (2021) in the Maumee Rivermouth (Toledo, OH). These data can be used along to estimate nutrient processing rates within the Maumee Rivermouth.
DOI: 10.5281/zenodo.16965050
title: Datasets for: Deep learning-based classification of peptide analytes from single-channel nanopore translocation events

description: Abstract

Rapid and accurate detection of peptide biomarkers using nanopore biosensors is critical for disease diagnosis and other biomedical applications. Processing large, complex single-channel translocation data streams poses a significant challenge for peptide analyte classification. Here, we present a supervised deep learning data processing pipeline for peptide classification from translocation events. The first stage employs a convolutional and recurrent neural network, adapted from the Deep-Channel multi-channel classifier, to accurately classify raw current recordings into discrete conductance states, including partially blocked sub-conductance intermediates. The second stage, peptide classification, utilizes a novel branched input network with a temporal convolutional network for processing translocation event conductance state sequences and a dense network for incorporating computed event-level and global kinetic features. Using idealized simulated multi-state translocation data for seven peptides, we demonstrate high classification accuracy (0.9998 (±0.0006)) when global features are included alongside event-level features. For classifying mixture samples, where only event-level features are applicable, performance shows more modest accuracy (0.70 (±0.01)). Peptide mixture predictions showed reasonable accuracy (MAE 0.045-0.161), although misclassification resulted in false positives. Event stochasticity and the fact that some peptides possessed similar kinetic parameters posed challenging for event-level prediction. However, vote aggregation from translocation event streams achieves perfect 100% accuracy, when predicting pure peptide samples. This proof-of-concept study demonstrates a robust deep learning framework for nanopore peptide classification using simulated data, laying the groundwork for classifying peptides from complex mixtures using real experimental data with the anthrax toxin protective antigen nanopore.
DOI: 10.5281/zenodo.16965049
title: Datasets for: Deep learning-based classification of peptide analytes from single-channel nanopore translocation events

description: Abstract

Rapid and accurate detection of peptide biomarkers using nanopore biosensors is critical for disease diagnosis and other biomedical applications. Processing large, complex single-channel translocation data streams poses a significant challenge for peptide analyte classification. Here, we present a supervised deep learning data processing pipeline for peptide classification from translocation events. The first stage employs a convolutional and recurrent neural network, adapted from the Deep-Channel multi-channel classifier, to accurately classify raw current recordings into discrete conductance states, including partially blocked sub-conductance intermediates. The second stage, peptide classification, utilizes a novel branched input network with a temporal convolutional network for processing translocation event conductance state sequences and a dense network for incorporating computed event-level and global kinetic features. Using idealized simulated multi-state translocation data for seven peptides, we demonstrate high classification accuracy (0.9998 (±0.0006)) when global features are included alongside event-level features. For classifying mixture samples, where only event-level features are applicable, performance shows more modest accuracy (0.70 (±0.01)). Peptide mixture predictions showed reasonable accuracy (MAE 0.045-0.161), although misclassification resulted in false positives. Event stochasticity and the fact that some peptides possessed similar kinetic parameters posed challenging for event-level prediction. However, vote aggregation from translocation event streams achieves perfect 100% accuracy, when predicting pure peptide samples. This proof-of-concept study demonstrates a robust deep learning framework for nanopore peptide classification using simulated data, laying the groundwork for classifying peptides from complex mixtures using real experimental data with the anthrax toxin protective antigen nanopore.
DOI: 10.26093/cds/vizier.1345
title: Gaia DR2

description: VizieR Gaia DR2 Catalogue is the CDS version of data provided by the European Space Agency, 2018, Gaia DR2, Version 1.0. https://doi.org/10.5270/esa-ycsawu7
DOI: 10.15468/dl.8bg2hq
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer macrophyllum Pursh)",
 "StateProvince is one of (Arizona, Colorado, Idaho, Mexico Northeast, Mexico Northwest, Montana, Nevada, New Mexico, Oklahoma, Texas, Utah, Wyoming)"
 ]
}

 The dataset includes 62 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022482-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4wvg4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus verloreni Chakona, Swartz & Skelton, 2014",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022483-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15238487
title: Morphodynamics_of_human_early_brain_organoid_development_Jain_Gut_2025_processed_anndata

description: This repository contains processed single-cell RNA sequencing (scRNA-seq) data in the form of Seurat objects, generated for the manuscript "Morphodynamics of human early brain organoid development." The corresponding raw sequencing data is publicly available through ArrayExpress under accession number: E-MTAB-15057. All analysis code and parameters used in the study are available on GitHub at https://github.com/quadbio/morphodynamics_human_brain_organoid.
DOI: 10.5281/zenodo.15238488
title: Morphodynamics_of_human_early_brain_organoid_development_Jain_Gut_2025_processed_anndata

description: This repository contains processed single-cell RNA sequencing (scRNA-seq) data in the form of Seurat objects, generated for the manuscript "Morphodynamics of human early brain organoid development." The corresponding raw sequencing data is publicly available through ArrayExpress under accession number: E-MTAB-15057. All analysis code and parameters used in the study are available on GitHub at https://github.com/quadbio/morphodynamics_human_brain_organoid.
DOI: 10.5281/zenodo.15584429
title: Morphodynamics_of_human_early_brain_organoid_development_Jain_Gut_2025_processed_anndata

description: This repository contains processed single-cell RNA sequencing (scRNA-seq) data in the form of Seurat objects, generated for the manuscript "Morphodynamics of human early brain organoid development." The corresponding raw sequencing data is publicly available through ArrayExpress under accession number: E-MTAB-15057. All analysis code and parameters used in the study are available on GitHub at https://github.com/quadbio/morphodynamics_human_brain_organoid.
DOI: 10.15468/dl.ckt5wy
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aechmea bocainensis E.Pereira & Leme"
 ]
}

 The dataset includes 29 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022484-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/q8k1s-gpf60
title: Hpylori_dFliF_FISE

description: These are H_pylori cells that are lacking FliP protein. In these cells, FliF protein was knocked out  .  to examine its relation to the hat-like complex.
description: <strong>Tilt Series Date:</strong> 2020-10-08</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -8.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> The cells were prepared and sent by Carrie Schaffer from the university of Kentucky. The cells were grown at 37C with 5% CO2 on sheep blood agar plates for 2 days from a -80C. No growth was seen . on the plates after 24 hr therefore the plates were kept in the . incubator for another 24Hr.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot . time 3, drain time 1 OR blot force -3, blot time 4, drain time 1, 100%  humidity. Cu grids. 10 nm . gold</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2020-10-08-392/rawdata/</p>Hpylori_DFliF_FISE_397.mrc,  Tilt Series (Pixel Size 0.452 nm), 1.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2020-10-08-392/rawdata/Hpylori_DFliF_FISE_397.mrc"
        > <i class="download icon"></i> Download </a></p>

        Hpylori_DFliF_FISE_397_full.rec,  Reconstruction (Pixel Size 1.808 nm), 737.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2020-10-08-392/3dimage_114258/Hpylori_DFliF_FISE_397_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/vq0dv-ca621
title: JV9082_Janelia42k

description: DotF-sfGFP fusion
description: <strong>Tilt Series Date:</strong> 2018-08-29</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 3.0°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 42000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Joseph P. Vogel, Washington University School of Medicine. Data collected and processed by Debnath Ghosal. Janelia Krios.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells were grown in AYE liquid culture with following supplements: ferric nitrate, cysteine hydrochloride and thymidine.</p>
<strong>Sample Preparation:</strong> 6 grids were frozen for the JV9082 strain (2x concentrated culture); Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 4.5 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-29-184/rawdata/</p>JV9082_201808290184.mrc,  Tilt Series (Pixel Size 0.26 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-29-184/rawdata/JV9082_201808290184.mrc"
        > <i class="download icon"></i> Download </a></p>

        JV9082_201808290184_full.rec,  Reconstruction (Pixel Size 1.04 nm), 445.4 MB  
        
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        > <i class="download icon"></i> Download </a></p>