cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17080895
title: Supplementary Material for: African Rigorous Innovative Stroke Epidemiological Surveillance: Protocol for a Community-Based Mobile-Health Study

description: Despite projections of stroke being a leading cause of mortality in Africa, reliable estimates of stroke burden on the continent using rigorous methods are not available. We aimed to implement a mobile-Health community-based interactive Stroke Information and Surveillance System to sustainably measure stroke burden and improve stroke health literacy and outcomes in urban and rural sites in Nigeria. African Rigorous Innovative Stroke Epidemiological Surveillance (ARISES) is an observational cohort study, which will be conducted in urban (Ibadan North LGA Ward 3) and rural (Ibarapa Central LGA) sites with a combined base population of over 80,000 people. The study will use a consultative approach to establish an mHealth-based Stroke Information and Surveillance System comprising a Stroke Alert System and a Stroke Finding System. These systems will enable the community to report stroke events and the research team/health workers find stroke cases using phone calls, short message service, and Voice Over Internet Protocols (VoIP). We will update community household data and geo-locate all households. Over the 5 years of the study, the system will collect information on stroke events and educate the community about this disease. Reported stroke cases will be clinically adjudicated at home and in prespecified health facilities. Baseline and endline community surveys will be conducted to assess stroke occurrence and other important study variables. The proportion of strokes alerted and found will be determined over the study period. Focus group discussions and key informant interviews will be conducted to understand community stroke literacy and perspectives. The study will also assess any impact of these efforts on time from stroke onset to referral, community uptake of orthodox health services for stroke patients. ARISES is anticipated to establish proof of concept about using mHealth for stroke surveillance in Africa. The potential impact of the SISS on improving patient outcomes will also be determined.
DOI: 10.6084/m9.figshare.17080895.v1
title: Supplementary Material for: African Rigorous Innovative Stroke Epidemiological Surveillance: Protocol for a Community-Based Mobile-Health Study

description: Despite projections of stroke being a leading cause of mortality in Africa, reliable estimates of stroke burden on the continent using rigorous methods are not available. We aimed to implement a mobile-Health community-based interactive Stroke Information and Surveillance System to sustainably measure stroke burden and improve stroke health literacy and outcomes in urban and rural sites in Nigeria. African Rigorous Innovative Stroke Epidemiological Surveillance (ARISES) is an observational cohort study, which will be conducted in urban (Ibadan North LGA Ward 3) and rural (Ibarapa Central LGA) sites with a combined base population of over 80,000 people. The study will use a consultative approach to establish an mHealth-based Stroke Information and Surveillance System comprising a Stroke Alert System and a Stroke Finding System. These systems will enable the community to report stroke events and the research team/health workers find stroke cases using phone calls, short message service, and Voice Over Internet Protocols (VoIP). We will update community household data and geo-locate all households. Over the 5 years of the study, the system will collect information on stroke events and educate the community about this disease. Reported stroke cases will be clinically adjudicated at home and in prespecified health facilities. Baseline and endline community surveys will be conducted to assess stroke occurrence and other important study variables. The proportion of strokes alerted and found will be determined over the study period. Focus group discussions and key informant interviews will be conducted to understand community stroke literacy and perspectives. The study will also assess any impact of these efforts on time from stroke onset to referral, community uptake of orthodox health services for stroke patients. ARISES is anticipated to establish proof of concept about using mHealth for stroke surveillance in Africa. The potential impact of the SISS on improving patient outcomes will also be determined.
DOI: 10.34740/kaggle/dsv/2850804
title: AutoXGB
DOI: 10.5281/zenodo.5464140
title: SGLT2-Inhibition reverts urinary peptide changes associated with severe COVID-19: an in-silico proof-of-principle of proteomics-based drug repurposing

description: Severe COVID-19 is reflected by significant changes in urine peptides. Based on this observation, a clinical test predicting COVID-19 severity, CoV50, was developed and registered as in vitro diagnostic in Germany. We have hypothesized that molecular changes displayed by CoV50, likely reflective of endothelial damage, may be reversed by specific drugs. Such an impact by a drug could indicate potential benefits in the context of COVID-19. To test this hypothesis, urinary peptide data from patients without COVID-19 prior to and after drug treatment were collected from the human urinary proteome database. The drugs chosen were selected based on availability of sufficient number of participants in the dataset (n&gt;20) and potential value of drug therapies in the treatment of COVID-19 based on reports in the literature. In these participants without COVID-19, spironolactone did not demonstrate a significant impact on CoV50 scoring. Empagliflozin treatment resulted in a significant change in CoV50 scoring, indicative of a potential therapeutic benefit. The study serves as a proof-of-principle for a drug repurposing approach based on human urinary peptide signatures. The results support the initiation of a randomised control trial testing a potential positive effect of empagliflozin for severe COVID-19, possibly via endothelial protective mechanisms.
description: Additional raw data available at DOI 10.5281/zenodo.5519153
DOI: 10.5281/zenodo.5464139
title: SGLT2-Inhibition reverts urinary peptide changes associated with severe COVID-19: an in-silico proof-of-principle of proteomics-based drug repurposing

description: Severe COVID-19 is reflected by significant changes in urine peptides. Based on this observation, a clinical test predicting COVID-19 severity, CoV50, was developed and registered as in vitro diagnostic in Germany. We have hypothesized that molecular changes displayed by CoV50, likely reflective of endothelial damage, may be reversed by specific drugs. Such an impact by a drug could indicate potential benefits in the context of COVID-19. To test this hypothesis, urinary peptide data from patients without COVID-19 prior to and after drug treatment were collected from the human urinary proteome database. The drugs chosen were selected based on availability of sufficient number of participants in the dataset (n&gt;20) and potential value of drug therapies in the treatment of COVID-19 based on reports in the literature. In these participants without COVID-19, spironolactone did not demonstrate a significant impact on CoV50 scoring. Empagliflozin treatment resulted in a significant change in CoV50 scoring, indicative of a potential therapeutic benefit. The study serves as a proof-of-principle for a drug repurposing approach based on human urinary peptide signatures. The results support the initiation of a randomised control trial testing a potential positive effect of empagliflozin for severe COVID-19, possibly via endothelial protective mechanisms.
description: Additional raw data available at DOI 10.5281/zenodo.5519153
DOI: 10.34740/kaggle/dsv/2850802
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.26182/vm5b-ng10
title: Supplemental Data for Azithromycin House Dust Mite manuscript
DOI: 10.6084/m9.figshare.12271292.v17
title: Arrival catalog of coronal mass ejections observed with STEREO Heliospheric Imagers (HELCATS ARRCAT 2.0)

description: ARRIVAL CATALOGUE 2.0 <br>In this ARRival CATalog (ARRCAT), the arrivals of solar coronal mass ejections that were tracked in the STEREO heliospheric imagers in the HELCATS project are calculated.<br>ARRCAT lists modeled arrivals of CMEs at various spacecraft and planets, between April 2007 - June 2021, based on the HIGeoCAT catalog of CMEs established at RAL Space, UK (R. A. Harrison, J. A. Davies, D. Barnes). <br>This is version 2.0, released 2020-May-13, updated 2021-Jul-9.<br>https://doi.org/10.6084/m9.figshare.12271292<br>It is based on this HIGeoCAT version: https://www.helcats-fp7.eu/catalogues/data/HCME_WP3_V06.vot using the SSEF30 model.<br>The catalog is available as python pandas dataframe (pickle), python numpy arrays (pickle, as recarray and structured array),npy (numpy, no pickle), json, csv, xlsx, txt, hdf5, html at https://helioforecast.space/arrcathttps://www.helcats-fp7.eu<br>Number of events in ARRCAT: 1658Targets: Earth_L1, STEREO-A, STEREO-B, Solar Orbiter, Parker Solar Probe (PSP), Bepi Colombo, Ulysses, Venus, Mercury, Mars.<br>For further description, see header file.<br>source code: arrcat.ipynb inhttps://github.com/cmoestl/heliocats<br>Rules: If results are produced with this catalog for peer-reviewed scientific publications,please contact christian.moestl@oeaw.ac.at for co-authorships.<br>
DOI: 10.17033/data.00000278
title: Time Perspective associations with self-care of type 1 diabetes in emerging adults

description: Cross-sectional study involving participants aged 18-25 (n=75) with type 1 diabetes. Investigation of time perspective associations with self-care and glycaemic control outcomes.
description: Online questionnaire, hosted in a secure dedicated website. Recruitment via both local NHS clinic for 18-25 year olds and via Diabetes UK research dept website and social media.
DOI: 10.26182/kb8j-zd44
title: A look back and a leap forward: Individual Work Performance Thesaurus File
DOI: 10.6084/m9.figshare.17080916
title: camvid

description: The Cambridge-driving Labeled Video Database (CamVid) is the first collection of videos with object class semantic labels, complete with metadata. The database provides ground truth labels that associate each pixel with one of 32 semantic classes.<br><br>The database addresses the need for experimental data to quantitatively evaluate emerging algorithms. While most videos are filmed with fixed-position CCTV-style cameras, our data was captured from the perspective of a driving automobile. The driving scenario increases the number and heterogeneity of the observed object<br>classes.<br>
DOI: 10.6084/m9.figshare.16715383
title: Supplementary Material for: GPR43 suppresses intestinal tumor growth by modification of the mammalian target of rapamycin complex 1 activity in ApcMin/+ mice

description: Medicine
DOI: 10.6084/m9.figshare.17080984.v1
title: Data in tab-delimited text format. from Handgrip strength and 2D : 4D in women: homogeneous samples challenge the (apparent) gender paradox

description: Age and anthropometric data of the study sample.
DOI: 10.6084/m9.figshare.17080984
title: Data in tab-delimited text format. from Handgrip strength and 2D : 4D in women: homogeneous samples challenge the (apparent) gender paradox

description: Age and anthropometric data of the study sample.
DOI: 10.6084/m9.figshare.11417295.v1
title: Anatomy of the left ventricle in fibrotic non-ischaemic dilated cardiomyopathy (NIDCM)

description: <b>Supporting data for the study titled "Left Ventricular Shape Predicts Arrhythmic Risk in Fibrotic Dilated Cardiomyopathy"</b> <br>Collection of 145 computational meshes of the anatomy of the left ventricle of 145 subjects with fibrotic NIDCM <b><br></b><b>Data acquisition and segmentation</b> Original Late Gadolinium Enganced (LGE-CMR) images originate from a cohort of 157 patients enrolled in the Royal Brompton Hospital Cardiovascular Biobank Project. Short axis LGE-CMR images stacks were acquired with an acquired scanning resolution of 1.3-2.2mm in plane and with a 7-10.5mm slice thickness. LGE-CMR stacks were manually segmented. An additional point was marked, the most basal point of the RV epicardium that meets the liver, required to break the circumferential symmetry of the LV in the ventricular shape models, and providing a marker for the most basal slice (images above this slice were removed). <b><br></b><b>3D meshing</b>The LV end diastolic anatomy was reconstructed from the short axis image contours using high order interpolation meshes. An idealised ellipsoid (with 96 elements, 194 nodes and 4656 degrees of freedom) was tailored to the dimensions of each case, and image registration and mesh warping techniques used to fit an idealised ellipsoid to each patient’s contours. High-order interpolation basis functions (cubic Hermite) in the meshes were used to interpolate the typically sparse out of plane resolutions in the short axis acquisitions. The 145 meshes were then spatially aligned by their centres of mass, and oriented by their basal planes and manually marked points at the RV epicardium. <br>Data shared containts:<b>1. AtlasMeshData.zip</b>, where each case has 1.1 CaseID.nii: The mask of the left ventricular (LV) myocardium and right ventricular blood pool from the short axis magnetic resonance image in end diastole1.2 binary_mesh files (.exelem and .exnode): the cubic Hermite mesh that was personalised to the anatomy of the left ventricle1.3 Image_binary_mesh.jpg: image of the overlay between the fitted mesh and the mask of the LV myocardium1.4 Image_Initialization.jpg: image of the overlay between the template LV mesh used for personalization and the mask of the LV myocardium1.5 ImageDistances2ClosestPointbinary_meshxxxxxxxxxx.jpg: image of the distances between the LV mesh and the mask of the LV myocardium (xxxxxxxxxx is a digit encodign for the time when the image was generated)1.6 PersonalizationReportbinary.txt: file with metrics of mesh fitting accuracy and quality<b></b><i></i><sub></sub><sup></sup><b></b><br><b>2. VTKMeshes.zip</b>: the collection of all the LV shapes in VTK format, after correction of centre of mass and circumferential orientation. <b></b><i></i><sub></sub><sup></sup><br> <b></b><i></i><sub></sub><sup></sup><b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.5281/zenodo.5500320
title: NeuroMET - SPECIAL MRS Reproducibility

description: Magnetic Resonance Spectroscopy Data acquired in 9 healthy volunteers using a SPECIAL Localization with three different adiabatic inversion pulses (hyperbolic secant, WURST, GOIA) at a 7T Magnetom whole-body system (Siemens Healthineers, Erlangen, Germany). Every volunteer was examined 4 times (twice on day one including a repositioning between the measurements, and twice on day two a week later without repositioning between alike measurements) to investigate the repeatability and reproducibility. Please find more details in L.T. Riemann, C.S. Aigner, S.L.R. Ellison, R. Brühl, R. Mekle, S. Schmitter, O. Speck, G. Rose, B. Ittermann, A. Fillmer, "Assessment of Measurement Precision in Single Voxel Spectroscopy at 7 T: Towards Minimal Detectable Changes of Metabolite Concentrations in the Human Brain In-Vivo", Magn Reson Med DOI: DOI: 10.1002/mrm.29034 (in press). Correspondence: layla.riemann@ptb.de, ariane.fillmer@ptb.de Code to generate the restricted maximum-likelihood estimation (REML) and the Bland-Altman (BA) plots of the spectral shape can be found under https://gitlab1.ptb.de/LRiemann/repeatability_reproducibility.git Following data sets are provided: 1. ConcentrationsPaper-mrm29034_20211012_Riemann-Fillmer.xls Data that is used with the R code to obtain the REML analysis of the metabolite concentrations. Note that the zeros indicate that the metabolite concentration could not be quantified. 2. RawData-mrm29034_20211012_Riemann-Fillmer.zip folder Raw spectral data from Magnetom Siemens 7 T scanner<br> file names have the following structure: "SubjectNumber_Session_ScanBlock_Pulse.dat", e.g. "p1_T1_1_GOIA.dat" 3. npy-files-mrm29034_20211012_Riemann-Fillmer.zip folder Spectral data in a python format to generate the BA plots with the shared code;<br> data names have the following structure: "SubjectNumber_PulseSessionScanBlock", e.g. "p1_GOIAT11.npy" for Subject p1, GOIA Pulse (AHS for hyperbolic secant), Session T1, ScanBlock 1 4. AnonymizedVolunteerData-mrm29034_20211012_Riemann-Fillmer.xlsx Anonymized measurement data for each individual volunteer and measurement:<br> age, gender, transmit voltage, linewidth, peak voltages for all three pulses (HS, GOIA, WURST), CSF -, gray and white matter fraction in the scanned voxel for each subject.
description: This project (18HLT09 NeuroMET2) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
description: {"references": ["Riemann, Layla T. et al. (2021), Assessment of Measurement Precision in Single Voxel Spectroscopy at 7 T: Towards Minimal Detectable Changes of Metabolite Concentrations in the Human Brain In-Vivo, DOI: 10.1002/mrm.29034"]}
DOI: 10.5281/zenodo.5500319
title: NeuroMET - SPECIAL MRS Reproducibility

description: Magnetic Resonance Spectroscopy Data acquired in 9 healthy volunteers using a SPECIAL Localization with three different adiabatic inversion pulses (hyperbolic secant, WURST, GOIA) at a 7T Magnetom whole-body system (Siemens Healthineers, Erlangen, Germany). Every volunteer was examined 4 times (twice on day one including a repositioning between the measurements, and twice on day two a week later without repositioning between alike measurements) to investigate the repeatability and reproducibility. Please find more details in L.T. Riemann, C.S. Aigner, S.L.R. Ellison, R. Brühl, R. Mekle, S. Schmitter, O. Speck, G. Rose, B. Ittermann, A. Fillmer, "Assessment of Measurement Precision in Single Voxel Spectroscopy at 7 T: Towards Minimal Detectable Changes of Metabolite Concentrations in the Human Brain In-Vivo", Magn Reson Med DOI: DOI: 10.1002/mrm.29034 (in press). Correspondence: layla.riemann@ptb.de, ariane.fillmer@ptb.de Code to generate the restricted maximum-likelihood estimation (REML) and the Bland-Altman (BA) plots of the spectral shape can be found under https://gitlab1.ptb.de/LRiemann/repeatability_reproducibility.git Following data sets are provided: 1. ConcentrationsPaper-mrm29034_20211012_Riemann-Fillmer.xls Data that is used with the R code to obtain the REML analysis of the metabolite concentrations. Note that the zeros indicate that the metabolite concentration could not be quantified. 2. RawData-mrm29034_20211012_Riemann-Fillmer.zip folder Raw spectral data from Magnetom Siemens 7 T scanner<br> file names have the following structure: "SubjectNumber_Session_ScanBlock_Pulse.dat", e.g. "p1_T1_1_GOIA.dat" 3. npy-files-mrm29034_20211012_Riemann-Fillmer.zip folder Spectral data in a python format to generate the BA plots with the shared code;<br> data names have the following structure: "SubjectNumber_PulseSessionScanBlock", e.g. "p1_GOIAT11.npy" for Subject p1, GOIA Pulse (AHS for hyperbolic secant), Session T1, ScanBlock 1 4. AnonymizedVolunteerData-mrm29034_20211012_Riemann-Fillmer.xlsx Anonymized measurement data for each individual volunteer and measurement:<br> age, gender, transmit voltage, linewidth, peak voltages for all three pulses (HS, GOIA, WURST), CSF -, gray and white matter fraction in the scanned voxel for each subject.
description: This project (18HLT09 NeuroMET2) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
description: {"references": ["Riemann, Layla T. et al. (2021), Assessment of Measurement Precision in Single Voxel Spectroscopy at 7 T: Towards Minimal Detectable Changes of Metabolite Concentrations in the Human Brain In-Vivo, DOI: 10.1002/mrm.29034"]}
DOI: 10.6084/m9.figshare.17080991
title: Pediatric COVID-19: Report from Indonesian Pediatric Society Data Registry

description: COVID-19 registry of Indonesian Pediatric Society
DOI: 10.6084/m9.figshare.17080991.v2
title: Pediatric COVID-19: Report from Indonesian Pediatric Society Data Registry

description: COVID-19 registry of Indonesian Pediatric Society
DOI: 10.6084/m9.figshare.17080991.v1
title: English translation.xlsx

description: COVID-19 registry of Indonesian Pediatric Society
DOI: 10.25345/c5k876
title: MassIVE MSV000088450 - GNPS_Sargassum_latifolium_from_Indonesia
title: Sargassum was collected from Sumbawa Island, NTB Indonesia
DOI: 10.5281/zenodo.5726773
title: Flying-V aerodynamic surface data

description: Dataset of the airflow around the unoptimised parametrisation of the Flying-V, at a spanwise coordinate of y=3.33m. Raw flow data, as well as extracted pressure coefficient data of the top and bottom surface is available.
DOI: 10.5281/zenodo.5726772
title: Flying-V aerodynamic surface data

description: Dataset of the airflow around the unoptimised parametrisation of the Flying-V, at a spanwise coordinate of y=3.33m. Raw flow data, as well as extracted pressure coefficient data of the top and bottom surface is available.
DOI: 10.5281/zenodo.5725382
title: Radiative transfer simulations for the Arctic research expedition PS106

description: The set of data files contain the results of radiative transfer simulations for the Arctic research expedition PS106. The simulations are based on remote sensing observations conducted during the PS106 cruise in 2017, which were used synergistically with Cloudnet algorithm to derive macro and microphysical properties of clouds. Moreover, atmospheric profiles of temperature, pressure, and ozone from ERA5 (European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis) and values of surface albedo from CERES (Clouds and the Earth's Radiant Energy System) SYN1deg Ed. 4.1 were considered.
description: We gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Projektnummer 268020496 - TRR 172, within the Transregional Collaborative Research Center "ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)³"
DOI: 10.5281/zenodo.5725381
title: Radiative transfer simulations for the Arctic research expedition PS106

description: The set of data files contain the results of radiative transfer simulations for the Arctic research expedition PS106. The simulations are based on remote sensing observations conducted during the PS106 cruise in 2017, which were used synergistically with Cloudnet algorithm to derive macro and microphysical properties of clouds. Moreover, atmospheric profiles of temperature, pressure, and ozone from ERA5 (European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis) and values of surface albedo from CERES (Clouds and the Earth's Radiant Energy System) SYN1deg Ed. 4.1 were considered.
description: We gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Projektnummer 268020496 - TRR 172, within the Transregional Collaborative Research Center "ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)³"
DOI: 10.6084/m9.figshare.17069600
title: Instrument Standards

description: LaB6 Instrument standards for the La2MgO4 pXRD, including both .xy and TOPAS .inp files for high-T and low-T experiments.
DOI: 10.6084/m9.figshare.17069600.v1
title: Instrument Standards

description: LaB6 Instrument standards for the La2MgO4 pXRD, including both .xy and TOPAS .inp files for high-T and low-T experiments.
DOI: 10.6084/m9.figshare.17069570
title: Raw PXRD data in .xy format

description: Raw PXRD data in .xy format for La2MgO4, labelled with temperature (in C, except at room temperature ("RT")) and separated into two distinct folders, High_T and Low_T, corresponding to the high- and low-temperature data sweeps and the equally named instrument standards.