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858 results for “monitoring data”
Non-freely available datasets for the following work: "Comparison of consumption data and phenotypical antimicro-bial resistance in E. coli isolates of human urinary samples and of weaning and fattening pigs from surveillance and monitor-ing systems in Germany."
<p>Human and animal databases used for the creation of the work "Comparison of consumption data and phenotypical antimicrobial resistance in E. coli isolates of human urinary samples and of weaning and fattening pigs from surveillance and monitoring systems in Germany."</p>
Towards on-device dehydration monitoring using machine learning from wearable device's data
<p>Body signals data such as accelerometer, gyroscope, magnetometer, galvanic skin response, photoplethysmography, temperature and barometric pressure were recorded for 11 subjects using Shimmer3 GSR unit. Some data were recorded while fasting for periods reaching 15 hours without water or food intake in Muslims' fasting time (starting fasting time for each subject sample is recorded in fastingTimes.csv for each subject from which last drinking time can be calculated and for the other non-fasting samples, drinking was done in the last hour before recording the sample, so the last drinking time was set to be 1 hour.</p> <p>I have received from some researchers that the zip folder is corrupted, you can find the right version here: https://zenodo.org/record/7099266.</p> <p>Please kindly contact the authors if you have any further concerns</p>
Durham Cathedral bat ultrasound monitoring data 2017-19
<p>The dataset lists the number of sound files in zero-crossing format extracted per hour from continuous recording of bat ultrasound using two different types of 'Anabat' bat detectors. Each one hour period is denoted by a date and the time in GMT at the beginning of the period.</p>
Lake water quality monitoring data from 8287 northern lakes
<p>This dataset contains water quality monitoring data and lake morphometry data from 8287 lakes collected between 1960 and 2022 in Finland, Sweden, Norway, Canada and the United States (Alaska). Data was sourced from governmental databases and non-profit organizations via data portals and data requests (see Metadata). The dataset contains over 2.6 million standardized and quality-controlled observations of dissolved oxygen, water temperature, total nitrogen, total phosphorus, water colour and ammonia, as well as sampling location, sampling date, sampling depth and key lake properties including lake altitude, surface area, mean depth and maximum depth. We excluded lakes undergoing physical or chemical treatments against hypoxia, lakes in which experiments have been conducted (e.g. nutrient addition). and reservoirs.</p> <p>The consumer of these data ("Data User" herein) should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors, original data providers and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. The data user may not create derivatives of this dataset or re-distribute these data to a third party.</p> <p><strong>Note: </strong>if you would like to use this data in your own study, you must contact the author (joachim.jansen@helsinki.fi) to ensure compliance with requirements of the contributors to this synthesis dataset, </p>
Experimental-data-driven deep learning strategy for Structural Health Monitoring of a plate in acoustic fields
Open the record for dataset details and reuse information.
Figure 2 from: Assou D, Segniagbeto GH, Radji R, Akiti J, Pando F (2018) Monitoring data of marine turtles on the Togolese coast during 2012–2013. ZooKeys 779: 109-118. https://doi.org/10.3897/zookeys.779.26967
Figure 2 Monitoring program sites (Segniagbeto et al. 2017).
Figure 3 from: Assou D, Segniagbeto GH, Radji R, Akiti J, Pando F (2018) Monitoring data of marine turtles on the Togolese coast during 2012–2013. ZooKeys 779: 109-118. https://doi.org/10.3897/zookeys.779.26967
Figure 3 Distribution of marine turtle occurrences by species on the Togolese coast.
Figure 1 from: Assou D, Segniagbeto GH, Radji R, Akiti J, Pando F (2018) Monitoring data of marine turtles on the Togolese coast during 2012–2013. ZooKeys 779: 109-118. https://doi.org/10.3897/zookeys.779.26967
Figure 1 Region of the record Datasets of sea turtles (coastal areas of Ghana, Togo and Benin).
Figure 4 from: Assou D, Segniagbeto GH, Radji R, Akiti J, Pando F (2018) Monitoring data of marine turtles on the Togolese coast during 2012–2013. ZooKeys 779: 109-118. https://doi.org/10.3897/zookeys.779.26967
Figure 4 Distribution of marine turtle occurrences by species and location on the Togolese coast.
uGIM: week monitorization data of a microgrid with five agents (10/04/19-16/04/19)
<p>uGIM is a microgrid intelligent management software that can represent individual microgrid’s players using a multi-agent approach. This dataset has data regarding a week (from 10-04-2019 to 16-04-2019) of a microgrid with five players (all offices). All agents have consumption and generation data. One of the agents also has sensor data, such as temperature, movement and humidity.</p> <p>In uGIM, agents are deployed in the player’s facilities using single-board computers. All the data in this dataset is read and stored in five single-board computers. Each agent integrates several resources. In this microgrid deployment, all resources use TCP/IP communication. However, uGIM supports more protocols, such as Modbus/RTU and Modbus/TCP.</p> <p>uGIM related publications:<br> - Gomes, L., Vale, Z., & Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. <a href="http://doi.org/10.1016/j.measurement.2019.107427">https://doi.org/10.1016/j.measurement.2019.107427</a><br> - Gomes, L., Vale, Z. A., & Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169–64183. <a href="http://doi.org/10.1109/ACCESS.2020.2985254">https://doi.org/10.1109/ACCESS.2020.2985254</a><br> - Gomes, L. (2020). μGIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. <a href="http://doi.org/10.14201/gredos.144238">https://doi.org/10.14201/gredos.144238</a><br> - Gomes, L., Spínola, J., Vale, Z., & Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. <a href="http://doi.org/10.1016/j.jclepro.2019.118154">https://doi.org/10.1016/j.jclepro.2019.118154</a></p> <p> </p> <p><em>(if you used this dataset in your publications, please send us your information so we can add your publication to the list above)</em></p> <p> </p> <p>We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.</p>
Gunshot sound files and spectrogram images from passive acoustic monitoring data in Vietnam.
<h3><strong>Introduction</strong></h3> <p>This dataset was created to support benchmarking of automated gunshot detection models using 'torch for R'. The data includes recordings collected from Chu Mom Ray National Park in Vietnam combined with an open dataset of gunshots from Belize (Katsis et al. 2022). The dataset is organized into several folders containing .jpg images and their corresponding .wav audio clips. </p> <h3>Data Summary</h3> <p>The dataset is divided into three main categories based on the region and use case:</p> <ol> <li>imagesvietnamunbalanced: Contains spectrogram images and audio data collected from Chu Mom Ray National Park in Vietnam. These data are used for training and evaluating automated gunshot detection models.</li> <li>imagesvietnam_belize: Includes spectrogram images and audio data from both Vietnam and Belize. The data in this folder is used for benchmarking model performance across different geographical regions.</li> <li>testdatacombined: Separate test data to evaluate performance with a large number of noise clips, representing real-world automated detection scenarios.</li> </ol> <p>Each .jpg image in these directories is associated with a .wav file representing a corresponding audio clip. The .wav files were recorded using passive acoustic monitoring and clips were isolated using manual annotations in Raven Pro Software.</p> <p>If used please cite: </p> <p>Vu, T. T., Phan, D. V., Le, T. S., & Clink, D. J. (2024). Investigating hunting in a protected area in Southeast Asia using passive acoustic monitoring with mobile smartphones and deep learning. <em>Ecological Indicators. </em></p> <p>Vu, T. T., Phan, D. V., Le, T. S., & Clink, D. J. (2024). Gunshot sound files and images from passive acoustic monitoring data in Vietnam. [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.13893977" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13893977</a></p> <p>Katsis, Lydia; Hill, Andrew; Piña-Covarrubias, Evelyn; Prince, Peter; Rogers, Alex; Doncaster, C. Patrick; Snaddon, Jake (2022), “Tropical forest gunshot classification training audio dataset”, <em>Mendeley Data</em>, V3, doi: 10.17632/x48cwz364j.3</p>
Data from: Long-term monitoring dataset of fish assemblages impinged at nuclear power plants in northern Taiwan
The long-term species diversity patterns in marine fish communities are garnering increasing attention from ecologists and conservation biologists. However, current databases on quantitative abundance information lack consistent long-term time series, which are particularly important in exploring the possible underlying mechanism of community changes and evaluating the effectiveness of biodiversity conservation measures. Here we describe an impinged fish assemblage dataset containing 1, 283, 707 individuals from 439 taxa. Once a month over 19 years (1987–1990 and 2000–2014), we systematically collected the fish killed by impingement upon cooling water intake screens at two nuclear power plants on the northern coast of Taiwan. Because impingement surveys have low sampling errors and can be carried out over many years, they serve as an ideal sampling tool for monitoring how fish diversity and community structure vary over an extended period of time.
Advanced monitoring of tailings dam performance - data and notebooks
<p>Seismic data used to recreate figures in Ouellet et al. 2022 'Advanced monitoring of tailings dam performance using seismic noise and stress models'.</p> <p>Original analysis completed on undecimated (500Hz) seismic data. Uploaded seismic data (miniseed) files have been decimated to 50Hz due to file size constraints.</p> <p>See <a href="http://github.com/smouellet/dVsVs_tailingsmonitoring ">https://github.com/smouellet/dVsVs_tailingsmonitoring </a> for the associated code and notebooks.</p>
Using genomics and morphometrics to monitor data-poor and commercially exploited octopod populations
<p>Raw demultiplexed data as fastq.gz files</p> <p>Processed files for each species dataset (Neutral, Selection, Autosomal)</p> <p>Mastersheet containing sample information, GenBank accession numbers, morphological raw data, haplotype number, and whether samples were used in the SNP analyses</p> <p>Codes for morphological and SNP analyses</p> <p>Metadata</p>
Data for the paper "A Multi-station Meteor Monitoring (M³) System. I. Design and Testing"
<p>This repository contains following data:</p> <p>1.Meteor observation data:</p> <p>JSON files of observation reports, including time, location of station, meteor ECI coordinates etc.</p> <ul> <li>folder: observations/HH: JSON files of station A</li> <li>folder: observations/YQ: JSON files of station A</li> </ul> <p>2.Meteoroid orbit data:</p> <p>Orbit data generated by WMPL (https://github.com/wmpg/WesternMeteorPyLib) for 473 meteoroids. Each folder contains reports and charts for success runs, and error massages if unsuccessful.</p>
Evaluation of Pharmacokinetic / Pharmacodynamic Data and Interest Individualized Therapeutic Drug Monitoring Glycopeptides and β-lactam-aminoglycoside ICU
ClinicalTrials.gov study NCT02846298. IPD Sharing: Not stated. Countries: 1. Publications: 0.
XLTCS - Accelerometer Data Collection in an Epilepsy Monitoring Unit (EMU)
ClinicalTrials.gov study NCT04282681. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Using Wearable and Mobile Data to Diagnose and Monitor Movement Disorders
ClinicalTrials.gov study NCT04231487. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Use of Rainbow Acoustic Monitoring in Pediatric Patients - A Clinical Engineering Data Collection Protocol
ClinicalTrials.gov study NCT03128827. IPD Sharing: NO. Countries: 1. Publications: 0.
Collection of Anonymized Data for Improvement of Domestic Patient Monitor System
ClinicalTrials.gov study NCT04671199. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
ScienceDex guides
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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.