Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
103
datasets available to search
ShareScore release 0.9.0
Dataset results
103 results for “Application Monitoring”
Dataset for publication 'Reconnecting Stochastic Methods with Hydrogeological Applications: Uncertainty Analysis and Risk Assessment for the Design of Optimal Monitoring Networks'
<p>This dataset includes all data and information on how to reproduce the results and the figures of the paper 'Reconnecting Stochastic Methods with Hydrogeological Applications: Uncertainty Analysis and Risk Assessment for the Design of Optimal Monitoring Networks'.</p>
Moving eDNA surveys into crop protection: a case study on the application of cowpea associated pests monitoring
<p><strong>Custom reference database of the study "Moving eDNA surveys into crop protection: a case study on the application of cowpea associated pests monitoring".</strong></p>
Supplementary Material for: 'An impedance pneumography signal quality index: design, assessment and application to respiratory rate monitoring'
<p>This supplementary material accompanies:</p> <p>Charlton P.H. <em>et al.</em>, "<a href="https://doi.org/10.1016/j.bspc.2020.102339">An impedance pneumography signal quality index for respiratory rate monitoring: design, assessment and application</a>", <em>Biomedical Signal Processing and Control</em>, 65, 102339, 2021.</p> <p>The Impedance Pneumography Signal Quality Index (SQI) dataset and accompanying scripts (in Matlab format) are provided to facilitate reproduction of the analyses using data from the MIMIC III dataset in this publication.</p> <p><strong>Summary of Publication</strong></p> <p>In this article we developed and assessed the performance of a signal quality index (SQI) for the impedance pneumography signal.<br> The SQI was developed using data from the <a href="http://peterhcharlton.github.io/RRest/listen_dataset.html">Listen dataset</a>, and assessed using data from the <a href="http://peterhcharlton.github.io/RRest/listen_dataset.html">Listen dataset</a> and MIMIC III datasets.<br> The SQI was found to accurately classify segments of impedance pneumography signal as either high or low quality. Furthermore, when it was coupled with a high performance RR algorithm, highly accurate and precise RRs were estimated from those segments deemed to be high quality. In this study performance was assessed in the critical care environment - further work is required to deteremine whether the SQI is suitable for use with wearable sensors. Both the dataset and code used to perform this study are publicly available.</p> <p><strong>Reproducing this Publication</strong></p> <p>The work relating to the MIMIC dataset in this publication can be reproduced as follows:</p> <p><strong> - Reproducing the analysis</strong><br> These steps can be used to quickly reproduce the analysis using the curated and annotated dataset.</p> <p>* Download the curated and annotated dataset from <a href="https://doi.org/10.5281/zenodo.3973770">Zenodo</a> using this <a href="https://zenodo.org/record/3973771/files/mimic_imp_sqi_data.mat?download=1">direct download link</a>.<br> * Run the analysis using the <a href="https://zenodo.org/record/3973771/files/run_imp_sqi_mimic.m?download=1"><em>run_imp_sqi_mimic.m</em></a> script.</p> <p><strong> - Full reproduction</strong><br> These steps include downloading the raw data files, extracting data from these files, collating the dataset, manually annotating the data, and performing the analysis.</p> <p>* Use the <a href="https://zenodo.org/record/3973771/files/ImP_SQI_mimic_data_importer.m?download=1"><em>ImP_SQI_mimic_data_importer.m</em></a> script to download raw MIMIC data files from PhysioNet, and collate them into a single Matlab file.<br> * Prepare the dataset for manual annotation by running the <a href="https://zenodo.org/record/3973771/files/run_imp_sqi_mimic.m?download=1"><em>run_imp_sqi_mimic.m</em></a> script.<br> * Manually annotate the signals by running the <a href="https://zenodo.org/record/3973771/files/run_imp_sqi_mimic.m?download=1"><em>run_mimic_imp_annotation.m</em></a> script - the annotations are stored in separate files (the original annotation files are available <a href="https://zenodo.org/record/3974113/files/2019_annotations.zip?download=1">here</a>).<br> * Import the manual annotations into the collated data file by re-running the <a href="https://zenodo.org/record/3973771/files/ImP_SQI_mimic_data_importer.m?download=1"><em>ImP_SQI_mimic_data_importer.m</em></a> script.<br> * Run <a href="https://zenodo.org/record/3973771/files/run_imp_sqi_mimic.m?download=1"><em>run_imp_sqi_mimic.m</em></a> to perform the analysis described in the publication.</p> <p><strong> - Submitted manuscript</strong></p> <p>The submitted manuscript is available <a href="https://zenodo.org/record/5211463/files/Impedance%20SQI%20manuscript%20-%20Oct%202020%20revision.docx?download=1">here</a>.</p> <p>The scripts are also stored (alongside details of how to use them) are available in the <a href="http://peterhcharlton.github.io/RRest/">RRest GitHub repository</a> at: <a href="https://github.com/peterhcharlton/RRest/tree/master/RRest_v3.0/Publication_Specific_Scripts/ImP_SQI">https://github.com/peterhcharlton/RRest/tree/master/RRest_v3.0/Publication_Specific_Scripts/ImP_SQI</a></p> <p>License: The dataset (<a href="https://zenodo.org/record/3974113/files/mimic_imp_sqi_data.mat?download=1"><em>mimic_imp_sqi_data.mat</em></a>) is distributed under the terms specified in the accompanying LICENSE file. The scripts are distributed under the GNU General Public Licence (as specified towards the start of each file).</p> <p>Version 1.0: This version includes the submitted manuscript.</p> <p> </p>
Application of Polygenic Methylation Markers in Postoperative Recurrence Monitoring of Colorectal Cancer
ClinicalTrials.gov study NCT05444491. IPD Sharing: NO. Countries: 1. Publications: 2.
Evaluation of a Novel Mobile Phone Application ( OptiBP) for Blood Pressure Monitoring
ClinicalTrials.gov study NCT04121624. IPD Sharing: NO. Countries: 1. Publications: 1.
Feasibility and Usability of Mobile Applications for Monitoring Cutaneous Leishmaniasis Treatment in Colombia
ClinicalTrials.gov study NCT05533736. IPD Sharing: NO. Countries: 1. Publications: 7.
Self-monitoring Physical Activity With a SMARTphone Application in Cancer Patients: a Feasibility Study (SMART)
ClinicalTrials.gov study NCT02391454. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Feasibility of a Web-based Patient Reported Outcome Symptom Monitoring Application in Danish Lung Cancer Patients
ClinicalTrials.gov study NCT03529851. IPD Sharing: NO. Countries: 1. Publications: 1.
Clinical Application of "Train of Four" Testing in the Intraoperative Monitoring Setting
ClinicalTrials.gov study NCT01932983. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Development and Validation of an Android-based Application for Anaesthesia Neuromuscular Monitoring
ClinicalTrials.gov study NCT03605225. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Home-based Rehabilitation Monitoring System With Wearable Devices and Self-Report Application
ClinicalTrials.gov study NCT06410755. IPD Sharing: NO. Countries: 1. Publications: 43.
Optical Blood Pressure Monitoring Via Mobile Application, 3 Arms Swiss Clinical Study
ClinicalTrials.gov study NCT03875248. IPD Sharing: NO. Countries: 1. Publications: 2.
Agreement and Precision of Capstesia, a New Smarphone Application for PPV and CO Monitoring
ClinicalTrials.gov study NCT03137901. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Application of Capnography Monitoring on the General Care Nursing Unit
ClinicalTrials.gov study NCT00457080. IPD Sharing: Not stated. Countries: 1. Publications: 13.
The Effects of Self-monitoring With a Mobile Application in Heart Failure
ClinicalTrials.gov study NCT03149510. IPD Sharing: NO. Countries: 1. Publications: 3.
Lifestyle Monitoring and Coaching Using the Mobile DIAMETER Application in Secondary Care
ClinicalTrials.gov study NCT05307120. IPD Sharing: NO. Countries: 1. Publications: 8.
Eye Drop Application Monitor, Pilot Study
ClinicalTrials.gov study NCT02639845. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
A Novel Mobile Phone Application ( OptiBP) for Blood Pressure Monitoring
ClinicalTrials.gov study NCT04262323. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Self-Monitoring and Psychoeducation in Bipolar Patients With a Smart-phone Application
ClinicalTrials.gov study NCT02258711. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Application for Monitoring and Evaluation of Raynaud's Phenomenon
ClinicalTrials.gov study NCT03984422. IPD Sharing: NO. Countries: 1. Publications: 7.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.