cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/8fhr-rx44
title: Gaming Network Traffic Dataset

description: Gaming consoles are very common connected devices which have evolved in functionality and applications (games and beyond) they support. This diversity of traffic generated from these consoles has diverse quality of service (QoS) requirements. However, in order to offer diverse QoS, ISPs and operators must be able to classify this traffic. To enable research in traffic classification (Machine Learning based or other), we have generated and collected this dataset. This is a labelled dataset collected from a gaming console, PlayStation 4. The data was collected for a period of 2 weeks from July 26, 2020 till August 12, 2020. The data was collected 3 times a day (morning, afternoon, evening). There is a total of 41 rounds of data collection.
DOI: 10.21227/04j2-9s26
title: Gaming Network Traffic Dataset

description: Gaming consoles are very common connected devices which have evolved in functionality and applications (games and beyond) they support. This diversity of traffic generated from these consoles has diverse quality of service (QoS) requirements. However, in order to offer diverse QoS, ISPs and operators must be able to classify this traffic. To enable research in traffic classification (Machine Learning based or other), we have generated and collected this dataset. This is a labelled dataset collected from a gaming console, PlayStation 4. The data was collected for a period of 2 weeks from July 26, 2020 till August 12, 2020. The data was collected 3 times a day (morning, afternoon, evening). There is a total of 41 rounds of data collection.
DOI: 10.6084/m9.figshare.13033382
title: Visual acuity study data

description: Data of two centres in the study in the first file and of the third centre in the second file
DOI: 10.6084/m9.figshare.13033103
title: Mykrobe Panel Staph version 20201001

description: This is Staph panel data version 20201001, to be used by the command line tool mykrobe
DOI: 10.6084/m9.figshare.13033103.v1
title: Mykrobe Panel Staph version 20201001

description: This is Staph panel data version 20201001, to be used by the command line tool mykrobe
DOI: 10.6084/m9.figshare.13033001
title: Mykrobe Panel TB version 20201001

description: This is TB panel data version 20201001, to be used by the command line tool mykrobe.
DOI: 10.6084/m9.figshare.13033001.v1
title: Mykrobe Panel TB version 20201001

description: This is TB panel data version 20201001, to be used by the command line tool mykrobe.
DOI: 10.6084/m9.figshare.13033838
title: Taxonomy Databases

description: Databases used for taxonomy assignment in the manuscript "
DOI: 10.6084/m9.figshare.13033838.v1
title: Taxonomy Databases

description: Databases used for taxonomy assignment in the manuscript "
DOI: 10.6084/m9.figshare.13033841
title: DNE_Data

description: The system data of coupled TN and PDN are created for testing Dynamic network equilibirum.
DOI: 10.5519/qd.35ghcqz1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (666783 records)
DOI: 10.5281/zenodo.4061780
title: Data set from Monasky MM, Micaglio E, Vicedomini G, Locati ET, Ciconte G, Giannelli L, Giordano F, Crisà S, Vecchi M, Borrelli V, Ghiroldi A, D'Imperio S, Di Resta C, Benedetti S, Ferrari M, Santinelli V, Anastasia L, Pappone C. Comparable clinical characteristics in Brugada syndrome patients harboring SCN5A or novel SCN10A variants. Europace. 2019 Oct 1;21(10):1550-1558. doi: 10.1093/europace/euz186. PMID: 31292628.

description: Data set from Monasky MM, Micaglio E, Vicedomini G, Locati ET, Ciconte G, Giannelli L, Giordano F, Crisà S, Vecchi M, Borrelli V, Ghiroldi A, D'Imperio S, Di Resta C, Benedetti S, Ferrari M, Santinelli V, Anastasia L, Pappone C. Comparable clinical characteristics in Brugada syndrome patients harboring SCN5A or novel SCN10A variants. Europace. 2019 Oct 1;21(10):1550-1558. doi: 10.1093/europace/euz186. PMID: 31292628. This is the abstract: <strong>Aims: </strong>The Brugada syndrome (BrS) is an inherited disease associated with an increased risk of sudden cardiac death. Often, the genetic cause remains undetected. Perhaps due at least in part because the NaV1.8 protein is expressed more in both the central and peripheral nervous systems than in the heart, the SCN10A gene is not included in diagnostic arrhythmia/sudden death panels in the vast majority of cardiogenetics centres. <strong>Methods and results: </strong>Clinical characteristics were assessed in patients harboring either SCN5A or novel SCN10A variants. Genetic testing was performed using Next Generation Sequencing on genomic DNA. Clinical characteristics, including the arrhythmogenic substrate, in BrS patients harboring novel SCN10A variants and SCN5A variants are comparable. Clinical characteristics, including gender, age, personal history of cardiac arrest/syncope, spontaneous BrS electrocardiogram pattern, family history of sudden death, and arrhythmic substrate are not significantly different between probands harboring SCN10A or SCN5A variants. <strong>Conclusion: </strong>Future studies are warranted to further characterize the role of these specific SCN10A variants.
DOI: 10.5281/zenodo.4061779
title: Data set from Monasky MM, Micaglio E, Vicedomini G, Locati ET, Ciconte G, Giannelli L, Giordano F, Crisà S, Vecchi M, Borrelli V, Ghiroldi A, D'Imperio S, Di Resta C, Benedetti S, Ferrari M, Santinelli V, Anastasia L, Pappone C. Comparable clinical characteristics in Brugada syndrome patients harboring SCN5A or novel SCN10A variants. Europace. 2019 Oct 1;21(10):1550-1558. doi: 10.1093/europace/euz186. PMID: 31292628.

description: Data set from Monasky MM, Micaglio E, Vicedomini G, Locati ET, Ciconte G, Giannelli L, Giordano F, Crisà S, Vecchi M, Borrelli V, Ghiroldi A, D'Imperio S, Di Resta C, Benedetti S, Ferrari M, Santinelli V, Anastasia L, Pappone C. Comparable clinical characteristics in Brugada syndrome patients harboring SCN5A or novel SCN10A variants. Europace. 2019 Oct 1;21(10):1550-1558. doi: 10.1093/europace/euz186. PMID: 31292628. This is the abstract: <strong>Aims: </strong>The Brugada syndrome (BrS) is an inherited disease associated with an increased risk of sudden cardiac death. Often, the genetic cause remains undetected. Perhaps due at least in part because the NaV1.8 protein is expressed more in both the central and peripheral nervous systems than in the heart, the SCN10A gene is not included in diagnostic arrhythmia/sudden death panels in the vast majority of cardiogenetics centres. <strong>Methods and results: </strong>Clinical characteristics were assessed in patients harboring either SCN5A or novel SCN10A variants. Genetic testing was performed using Next Generation Sequencing on genomic DNA. Clinical characteristics, including the arrhythmogenic substrate, in BrS patients harboring novel SCN10A variants and SCN5A variants are comparable. Clinical characteristics, including gender, age, personal history of cardiac arrest/syncope, spontaneous BrS electrocardiogram pattern, family history of sudden death, and arrhythmic substrate are not significantly different between probands harboring SCN10A or SCN5A variants. <strong>Conclusion: </strong>Future studies are warranted to further characterize the role of these specific SCN10A variants.
DOI: 10.6084/m9.figshare.11714400
title: Concomitant experimental coinfection by Plasmodium berghei NK65-NY and Ascaris suum downregulates the Ascaris-specific immune response and potentiates Ascaris-associated lung pathology

description: Background: Ascariasis and malaria are highly prevalent parasitic diseases in tropical regions and often overlap in endemic areas, contributing to high morbidity and mortality rates in areas with poor sanitary conditions. Several studies have already aimed to correlate the effects of Ascaris-Plasmodium coinfections but obtained contradictory and inconclusive results. The present study investigated parasitological and immunopathological aspects of the lung in an experimental concomitant coinfection by Plasmodium berghei NK65-NY and Ascaris suum during larval ascariasis. Methods: C57BL/6J mice were inoculated with 1×104 P. berghei NK65-NY infected red blood cells (iRBCs) intraperitoneally and/or 2500 embryonated eggs of A. suum by oral gavage. P. berghei NK65-NY parasitemia, morbidity and survival rate were assessed. At the seventh day postinfection (dpi), A. suum lung burden, bronchoalveolar lavage (BAL), lung histopathological, lung cellular activity, hematological analysis and respiratory mechanics was performed. The concentrations of interleukin (IL)-1β, IL-12/IL-23p40, IL-6, IL-4, IL-33, IL-13, IL-5, IL-10, IL-17A, IFN-γ, TNF-α and TGF-β were assayed by sandwich ELISA. Results: P. berghei NK65-NY and A. suum coinfection results in Plasmodium-driven downregulation of the lung immune response that leads to an increase in larval migration, as evidenced by the decrease in larvae recovered in the lung parenchyma and increase in larvae recovered in the airways. This scenario conveys an intense airways hemorrhage and, consequently, the commitment of respiratory function that leads to high morbidity and early mortality. Conclusions: Our results suggest that this coinfection may potentiate Ascaris-associated pathology by the downmodulation of the Ascaris-specific immune response, resulting in the early death of affected animals.<br>
DOI: 10.6084/m9.figshare.11714400.v5
title: Concomitant experimental coinfection by Plasmodium berghei NK65-NY and Ascaris suum downregulates the Ascaris-specific immune response and potentiates Ascaris-associated lung pathology

description: Background: Ascariasis and malaria are highly prevalent parasitic diseases in tropical regions and often overlap in endemic areas, contributing to high morbidity and mortality rates in areas with poor sanitary conditions. Several studies have already aimed to correlate the effects of Ascaris-Plasmodium coinfections but obtained contradictory and inconclusive results. The present study investigated parasitological and immunopathological aspects of the lung in an experimental concomitant coinfection by Plasmodium berghei NK65-NY and Ascaris suum during larval ascariasis. Methods: C57BL/6J mice were inoculated with 1×104 P. berghei NK65-NY infected red blood cells (iRBCs) intraperitoneally and/or 2500 embryonated eggs of A. suum by oral gavage. P. berghei NK65-NY parasitemia, morbidity and survival rate were assessed. At the seventh day postinfection (dpi), A. suum lung burden, bronchoalveolar lavage (BAL), lung histopathological, lung cellular activity, hematological analysis and respiratory mechanics was performed. The concentrations of interleukin (IL)-1β, IL-12/IL-23p40, IL-6, IL-4, IL-33, IL-13, IL-5, IL-10, IL-17A, IFN-γ, TNF-α and TGF-β were assayed by sandwich ELISA. Results: P. berghei NK65-NY and A. suum coinfection results in Plasmodium-driven downregulation of the lung immune response that leads to an increase in larval migration, as evidenced by the decrease in larvae recovered in the lung parenchyma and increase in larvae recovered in the airways. This scenario conveys an intense airways hemorrhage and, consequently, the commitment of respiratory function that leads to high morbidity and early mortality. Conclusions: Our results suggest that this coinfection may potentiate Ascaris-associated pathology by the downmodulation of the Ascaris-specific immune response, resulting in the early death of affected animals.<br>
DOI: 10.6084/m9.figshare.11714400.v4
title: Concomitant experimental coinfection by Plasmodium berghei NK65-NY and Ascaris suum downregulates the Ascaris-specific immune response and potentiates Ascaris-associated lung pathology

description: Ascariasis and malaria are highly prevalent parasitic diseases in tropical regions and often overlap in endemic areas, contributing to high morbidity and mortality rates in areas with poor sanitary conditions. Several studies aiming to correlate the effects of Ascaris-Plasmodium coinfections have contradictory and inconclusive results. In this context, we investigated parasitological and immunopathological aspects of the lung in an experimental concomitant coinfection by Plasmodium berghei NK65-NY and Ascaris suum during larval ascariasis. The most important findings of P. berghei NK65-NY and A. suum coinfection results in Plasmodium-driven downregulation of the lung immune response that leads to an increase in larval migration in the lungs, as evidenced by the decrease in larvae recovered in the lung parenchyma and the increase in larvae recovered in the airways. This scenario is implicated in an intense hemorrhage in the airways and, consequently, in the commitment of respiratory function that results in high morbidity and early mortality. Taken together, our results suggest that this coinfection may potentiate Ascaris-associated pathology by the downmodulation of the Ascaris-specific immune response, resulting in the early death of affected animals.<br>
DOI: 10.5281/zenodo.4061741
title: Hansard Speeches 1979-2020: Version 3.0.0

description: Full details are available at https://evanodell.com/projects/datasets/hansard-data <strong>Version 3 is a major update of this dataset, with the following changes:</strong> - Coverage up to the end of August 2020 - More information on government, opposition and parliamentary posts. - Information on MPs constituencies. - Inclusion of topical debate headings from the Hansard record - Removal of easily accessible information like birthdays from the flat file. - Fixes to various encoding issues.
description: This release is an update of previously released datasets. See full documentation for details.
DOI: 10.5281/zenodo.3466591
title: Strain Anisotropy and Magnetic Domains in Embedded Nanomagnets

description: Transmission electron microscopy data and processing scripts related to the journal article "Strain Anisotropy and Magnetic Domains in Embedded Nanomagnets": https://doi.org/10.1002/smll.201904738 <strong>Data files</strong> The data is contained within the 00N_....hdf5 files, which can be accessed using an HDF5 reader. Note that these datasets are very large, and trying to load one of them directly will most likely lead to your computer crashing. Loading the data in python with h5py: <pre><code class="language-python">import h5py f = h5py.File('003_stripe1.hdf5', mode='r') data = f['fpd_expt/fpd_data/data'] data_subset = data[0:16, 0:16, :, :]</code></pre> Exploring the datasets lazily, i.e. without loading the whole dataset into memory at the same time. Using pixStem: <pre><code class="language-python">import pixstem.api as ps s = ps.load_ps_signal("003_stripe1.hdf5", lazy=True) s.plot()</code></pre> <br> <strong>Processing files</strong> All the TEM data has been processed using python scripts, which is named based on the type of processing: d00N_...: STEM-DPC processing l00N_...: lattice size processing s00N_...: rotation "simulations" to find the relation between the scan and detector rotation Several of the scripts generate intermediate files, which are saved in folders with the same prefix as the scripts. So the d001_... script makes a folder named d001_... . These intermediate files are included here as zip-files, since Zenodo doesn't support folder structures. The python libraries required to run the scripts are listed in requirements.txt. Newer versions of the libraries will most likely also work. To setup the python environment with the required libraries, and run all the scripts: <pre><code class="language-bash">pip3 install -r requirements.txt python3 run_all_scripts.py</code></pre> This will most likely take several hours to complete.
DOI: 10.5281/zenodo.3466590
title: Strain Anisotropy and Magnetic Domains in Embedded Nanomagnets

description: Transmission electron microscopy data and processing scripts related to the journal article "Strain Anisotropy and Magnetic Domains in Embedded Nanomagnets": https://doi.org/10.1002/smll.201904738 <strong>Data files</strong> The data is contained within the 00N_....hdf5 files, which can be accessed using an HDF5 reader. Note that these datasets are very large, and trying to load one of them directly will most likely lead to your computer crashing. Loading the data in python with h5py: <pre><code class="language-python">import h5py f = h5py.File('003_stripe1.hdf5', mode='r') data = f['fpd_expt/fpd_data/data'] data_subset = data[0:16, 0:16, :, :]</code></pre> Exploring the datasets lazily, i.e. without loading the whole dataset into memory at the same time. Using pixStem: <pre><code class="language-python">import pixstem.api as ps s = ps.load_ps_signal("003_stripe1.hdf5", lazy=True) s.plot()</code></pre> <br> <strong>Processing files</strong> All the TEM data has been processed using python scripts, which is named based on the type of processing: d00N_...: STEM-DPC processing l00N_...: lattice size processing s00N_...: rotation "simulations" to find the relation between the scan and detector rotation Several of the scripts generate intermediate files, which are saved in folders with the same prefix as the scripts. So the d001_... script makes a folder named d001_... . These intermediate files are included here as zip-files, since Zenodo doesn't support folder structures. The python libraries required to run the scripts are listed in requirements.txt. Newer versions of the libraries will most likely also work. To setup the python environment with the required libraries, and run all the scripts: <pre><code class="language-bash">pip3 install -r requirements.txt python3 run_all_scripts.py</code></pre> This will most likely take several hours to complete.
DOI: 10.5281/zenodo.3479123
title: Fast Pixelated Detectors in Scanning Transmission Electron Microscopy. Part I: Data Acquisition, Live Processing and Storage

description: Scanning transmission electron microscopy data related to paper "Fast Pixelated Detectors in Scanning Transmission Electron Microscopy. Part I: Data Acquisition, Live Processing, and Storage": https://doi.org/10.1017/S1431927620001713
DOI: 10.6084/m9.figshare.7831913
title: Cross-strain Reused Growth Medium Experiments Datasets

description: This dataset includes data collected during an experiment designed to test the growth response of three marine microalgae strains to the growth medium derived from a single algae strain. Bacteria communities in the algae cultures were also sequenced and identified. Metadata includes descriptions of variables in each data table. <br>More information about the experiments and data collection methods are available in the publication accompanying this dataset: Loftus, S. E., Hunt. D. E., and Johnson, Z.I. (2020). Reused cultivation water from a self-inhibiting alga does not inhibit other algae but alters their microbiomes. <i>Algal Research </i>Vol 51. https://doi.org/10.1016/j.algal.2020.102067
DOI: 10.6084/m9.figshare.7831913.v4
title: Cross-strain Reused Growth Medium Experiments Datasets

description: This dataset includes data collected during an experiment designed to test the growth response of three marine microalgae strains to the growth medium derived from a single algae strain. Bacteria communities in the algae cultures were also sequenced and identified. Metadata includes descriptions of variables in each data table. <br>More information about the experiments and data collection methods are available in the publication accompanying this dataset: Loftus, S. E., Hunt. D. E., and Johnson, Z.I. (2020). Reused cultivation water from a self-inhibiting alga does not inhibit other algae but alters their microbiomes. <i>Algal Research </i>Vol 51. https://doi.org/10.1016/j.algal.2020.102067
DOI: 10.6084/m9.figshare.7831913.v3
title: Cross-strain Reused Growth Medium Experiments Datasets

description: This dataset includes data collected during an experiment designed to test the growth response of three marine microalgae strains to the growth medium derived from a single algae strain. Bacteria communities in the algae cultures were also sequenced and identified. Metadata includes descriptions of variables in each data table. <br>More information about the experiments and data collection methods are available in the pending publication that will accompany this dataset.
DOI: 10.6084/m9.figshare.13033871.v3
title: Figure 2, S2, S3

description: Datasets and perl scripts to generate Figures 2, S2 and S3<br>
DOI: 10.6084/m9.figshare.13033871
title: Figure 2, S2, S3

description: Datasets and perl scripts to generate Figures 2, S2 and S3<br>
DOI: 10.6084/m9.figshare.13033871.v2
title: Figure 2A

description: Datasets and perl scripts to generate Figures 2A, 2B, 2C, S2 and S3<br>
DOI: 10.6084/m9.figshare.13033871.v1
title: Figure 2A

description: Datasets and perl scripts to generate Figures 2A, S2 and S3<br>
DOI: 10.5281/zenodo.4059194
title: Wikipedia biographies

description: Folder containing biographies from Wikipedia. The folder is composed of two subfolders, one containing the Chinese biographies and one containing the English biographies. Each of these subfolders contains one subfolder for each biography (represented by its Wikipedia ID) and each of these folders contains 2 files, one in xml format representing the textual content of the biography and another in csv format containing information about the named entities present in the biography.
DOI: 10.5281/zenodo.4058306
title: Wikipedia biographies

description: Folder containing biographies from Wikipedia. The folder is composed of two subfolders, one containing the Chinese biographies and one containing the English biographies. Each of these subfolders contains one subfolder for each biography (represented by its Wikipedia ID) and each of these folders contains 2 files, one in xml format representing the textual content of the biography and another in csv format containing information about the named entities present in the biography.
DOI: 10.21942/uva.13033376
title: Analyses

description: These files show the non-inferiority analysis of the main outcome of the RODEO trial, the Olerud Molander Score. Both the intention-to-treat (ITT) and per-protocol (PP) are provided.
DOI: 10.21942/uva.13033376.v1
title: Analyses

description: These files show the non-inferiority analysis of the main outcome of the RODEO trial, the Olerud Molander Score. Both the intention-to-treat (ITT) and per-protocol (PP) are provided.
DOI: 10.25345/c5v48p
title: MassIVE MSV000086218 - test LK testtestesttesttesttesttest
title: Test LK CBPs test LK testtestesttesttesttesttesttest LK testtestesttesttesttesttest
DOI: 10.21942/uva.13027169
title: Databases and syntaxes

description: 1. Export version of the database (from Castor) containing patient baseline characteristics and case report forms (CRF). <br>2. Syntax used to translate values of baseline export file to English<br>3. Database with all variables used for main analysis of trial. This contains baseline patient characteristics (checked and completed using hospital records), CRF, Olerud Molander Score (OMAS), American Orthopedic Foot Ankle Hindfoot Scale (AOFAS), EQ-5D-5L, and complications/revisions.All outcomes are measured and provided at time points of 3, 6 and 12 months after syndesmotic fixation.<br>4. All available X-rays (AP) of included patients, routinely made on 3 months after syndesmotic fixation.<br>All above mentioned data may be accessed and used for research purposes on request, see terms of use (contact Tim Schepers, t.schepers@amsterdamumc.nl, Trauma Unit, Amsterdam UMC, loc. AMC, Meibergdreef 9, 1105AZ Amsterdam, The Netherlands)