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24 results for “Volunteer monitoring”

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zenodo44/100

Accuracy and Reliability of Noninvasive Stroke Volume Monitoring via ECG-Gated 3D Electrical Impedance Tomography in Healthy Volunteers

<p>3D EIT dataset of ten healthy human volunteers, as described in the corresponding <a href="http://dx.doi.org/10.1371/journal.pone.0191870">journal publication at PLOS ONE</a> or the first author&#39;s <a href="http://dx.doi.org/10.5075/epfl-thesis-8343">PhD thesis at EPFL</a>. Please also read the attached ReadMe file.</p> <p>When using this data please cite the corresponding journal publication:</p> <blockquote> <p>Accuracy and Reliability of Noninvasive Stroke Volume Monitoring via ECG-Gated 3D Electrical Impedance Tomography in Healthy Volunteers, PLOS ONE, 2018, <a href="http://dx.doi.org/10.1371/journal.pone.0191870">https://dx.doi.org/10.1371/journal.pone.0191870</a></p> </blockquote>

opencc-by-sa-4.0Jan 2018View details →
zenodo40/100

Surface Marine Carbonate System Data (2019-2024) from Volunteer Observing Ship monitoring across the Western Mediterranean Sea

<p><strong><span><span>1.<span>&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span></strong><strong><span>Introduction</span></strong></p> <p><span>We present here a high-resolution dataset which spans five years (February 2019 - February 2024) and is based on weekly physicochemical observations of the surface waters along the western boundary of the Mediterranean Sea. Data were automatically collected by a Surface Ocean Observation Platform (SOOP) operating in underway mode aboard the Volunteer Observing Ship (VOS) MV JONA SOPHIE (formerly RENATE P until November 2021), a container ship managed by Nisa Maritima on the route between the Canary Islands and Barcelona. A total of 92 routes were completed in the Mediterranean Sea during the observation period.</span></p> <p><span>The SOOP CanOA-VOS line, designed and maintained by the QUIMA research group at IOCAG-ULPGC, is part of Spain&rsquo;s contribution to the Integrated Carbon Observation System (ICOS-ERIC) since 2021 and is recognized as an ICOS Class 1 Ocean Station, ensuring that the measurement equipment and data collection techniques meet ICOS-ERIC's high-quality standards and methodological recommendations. The data collected is also available at the ICOS Data Portal (<a href="https://www.icos-cp.eu/data-products/ocean-release">https://www.icos-cp.eu/data-products/ocean-release</a>).</span></p> <p><strong><span><span>2.<span>&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span></strong><strong><span>Data collection</span></strong></p> <p><span>The dataset includes continuous monitoring of CO<sub>2</sub> levels in both surface ocean and low atmosphere, following protocols to ensure data comparability and quality given by Pierrot et al., (2009). A detailed description is provided by Curbelo-Hern&aacute;ndez et al., 2021a, 2021b). An automated CO2 molar fraction (xCO2) measurement system, developed by Craig Nail and commercialized by General Oceanics&trade;, was installed on the ship. This system integrates air and seawater equilibrators with a non-dispersive infrared analyzer by LICOR&reg; for xCO2 detection. The analyzer is regularly calibrated using standard gases provided by the NOAA, traceable to the World Meteorological Organization (WMO). They were in the order of 0 ppm, 250 ppm, 400 ppm and 550 ppm until January 2021, when the gas bottles for standard 2 to 4 were changed for a new set with concentrations in the order of 300 ppm, 500 ppm and 800 ppm. </span></p> <p><span>In addition to xCO2, sea surface temperature (SST) and sea surface salinity (SSS) were monitored using high-precision instruments. The SST was monitored by using a SBE38 thermometer placed at the main seawater intake in the engine room, with a reported error of &plusmn;0.01&ordm;C. A SBE45 thermosalinograph and a Hart Scientific HT1523 Handheld Thermometer, with reported errors of &plusmn;0.01&ordm;C, were used to monitor the temperature at the entrance of the wet box and inside the equilibrator, respectively. The SBE45 thermosalinograph measured the sea surface salinity (SSS) with an estimated error of &plusmn;0.005.</span></p> <p><span>Discrete seawater samples were also collected during three round trips in February 2020, March 2021, and October 2023, for further analysis of total alkalinity and dissolved inorganic carbon. </span><span>A total of 102 discrete samples has been collected in the Mediterranean Sea. Total alkalinity (AT) and total inorganic carbon (CT) were determined using a VINDTA 3C according to Mintrop et al., 2000. AT was analyzed via potentiometric titration with HCl, following the carbonic acid endpoint method (Millero et al., 1993; Dickson and Goyet, 1994), while CT was determined through coulometric titration (Johnson et al., 1993). The VINDTA 3C was calibrated using Certified Reference Material (CRMs) by A. Dickson, ensuring an accuracy of &plusmn;1.5 </span><span>&mu;</span><span>mol kg-1 for AT and &plusmn;1.0 </span><span>&mu;</span><span>mol kg-1 for CT.</span></p> <p><span>The dataset contains some gaps, including a year-long gap from September 2021 to 2022 due to vessel maintenance and shorter gaps due to technical issues, which were addressed during routine maintenance. Some technical issues in 2020 were delayed due to COVID-19 constraints.</span></p> <p><strong><span>3. Dataset content</span></strong></p> <p><span>The dataset includes the following variables:&nbsp;</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;Date&rdquo; (dd/mm/yyyy)</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;Time&rdquo; (hh:mm:ss)</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;Latitude&rdquo;</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;Longitude&rdquo;</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;equTemp&rdquo;: seawater temperature measured inside the equilibrator using a Hart Scientific HT1523 Handheld Thermometer.</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;stdVal&rdquo;: value of the standard gases used for automatically calibrations.</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;xCO2&rdquo;: measured CO2 molar fraction without performing any correlation (raw data).</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;atmPress&rdquo;: Atmospheric pressure (units: atm).</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;equPress&rdquo;: Diffeence in pressure between the atmosphere and the equilibrator (units: atm).</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;SST_SBE38&rdquo;: Sea surface temperature measured with a SBE38 thermometer at the main seawater intake of the vessel.</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;Temp_SBE45&rdquo;: Seawater temperature measured with a SBE45 thermosalinograph just before the water supply to the equilibrator.</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;SSS_SBE45&rdquo;: Sea surface salinity measured with a SBE45 thermosalinograph just before the water supply to the equilibrator.</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;xCO2corr_sw&rdquo;: CO2 molar fraction measured in the sea surface after correction by using standard gases.</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;xCO2corr_atm&rdquo;: CO2 molar fraction measured in low atmosphere after correction by using standard gases.</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;pCO2sw&rdquo;: Partial pressure of CO2 in the sea surface (units: &micro;atm).</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;pCO2atm&rdquo;: Partial pressure of CO2 in low atmosphere (units: &micro;atm).</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;fCO2sw&rdquo;: fugacity of CO2 in the sea surface (units: &micro;atm).</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;fCO2atm&rdquo;: fugacity of CO2 in low atmosphere (units: &micro;atm).</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;AT&rdquo;: Total Alkalinity (&micro;mol kg-1)</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;CT&rdquo;: Total Inorganic Carbon (&micro;mol kg-1)</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;pH&rdquo;: pH in surface seawater at in situ temperature computed in CO2sys using as input variables AT and fCO2sw.</span></p> <p><span><span>&middot;<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>&ldquo;pH25&rdquo;: pH in surface seawater at constant temperature of 25&ordm;C computed in CO<sub>2sys</sub> using as input variables AT and fCO2sw.</span></p> <p><span>&nbsp;</span></p> <p><strong><span>Acknowledgement</span></strong></p> <p><span>This research was supported by the Canary Islands Government and the Loro Parque Foundation through the CanBIO project, CanOA subproject (2019&ndash;2024), and the CARBOCAN agreement (Consejer&iacute;a de Transici&oacute;n Ecol&oacute;gica y Energ&iacute;a, Gobierno de Canarias). We would like to thank the JONA SOPHIE ship owner, the NISA-Mar&iacute;tima company and the captains and crew members for the support during this collaboration. Special thanks to the technician Adrian Castro-Alamo for biweekly equipment maintenance and discrete sampling of total alkalinity aboard the ship. The SOOP CanOA-VOS line is part of the Spanish contribution to the Integrated Carbon Observation System (ICOS-ERIC; https://www.icos-cp.eu/) since 2021 and has been recognized as an ICOS Class 1 Ocean Station. <span>The participation of D. C-H was funded by the PhD grant PIFULPGC-2020-2 ARTHUM-2</span></span></p>

opencc-by-4.0Aug 2024View details →
dryad36/100

Co-design of a citizen science study: unlocking the potential of eDNA for volunteer freshwater monitoring

<ol> <li>Citizen science is increasingly being promoted as a means of gathering more data to help inform the management of ecosystems. Involving the participants in the design of data collection activities is a form of co-design often proposed by those calling for a translational ecology.</li> <li>In addition, novel monitoring approaches have the potential to improve the quality of data collected by citizen scientists. We explored the potential of environmental DNA (eDNA) for vertebrate (mainly fish) species monitoring through a co-designed catchment monitoring strategy. </li> <li>Having been introduced to the potential of eDNA, citizen scientists designed and executed an eDNA-based survey of a small chalk stream catchment to explore questions of concern.</li> <li>The eDNA monitoring approach provided data about fish and other vertebrate diversity in the catchment which would have otherwise required sampling approaches difficult for citizen scientists. These data give a preliminary answer to some of the citizen scientists' priority questions and are comparable to fish data collected through traditional electrofishing surveys.</li> <li>Recommendations are offered for co-design and the use of novel research techniques by citizen scientists.</li> </ol>

opencc-zeroAug 2023View details →
dryad36/100

Data from: Co-design of a citizen science study: Unlocking the potential of eDNA for volunteer freshwater monitoring

Open the record for dataset details and reuse information.

publicAug 2023View details →
dryad36/100

Sea otters in a California estuary: Detecting temporal and spatial dynamics with volunteer monitoring

Open the record for dataset details and reuse information.

publicNov 2022View details →
zenodo32/100

Supplementary material 3 from: Anđelković AA, Lawson Handley L, Marchante E, Adriaens T, Brown PMJ, Tricarico E, Verbrugge LNH (2022) A review of volunteers' motivations to monitor and control invasive alien species. NeoBiota 73: 153-175. https://doi.org/10.3897/neobiota.73.79636

List of recommendations for designing projects to ensure maximum recruitment and volunteer retention extracted from the studies used in the analysis (for their full references, please see Suppl. material 1) and their link to our recommendations

opencc-zeroMay 2022View details →
ClinicalTrials.gov32/100

Therapeutic Drug Monitoring and Pharmacokinetic Compartmental Analysis of Sulpiride After Oral Administration to Healthy Volunteers

ClinicalTrials.gov study NCT01777685. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Validation and Testing of a Novel Continuous Glucose and Continuous Ketone Monitoring Device in Healthy Volunteers

ClinicalTrials.gov study NCT06877975. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
edi32/100

NH Department of Environmental Services (NHDES) Watershed Management Bureau Biology Section: Volunteer Lake Assessment Program (VLAP) Environmental Monitoring data, 1995-2014

The New Hampshire Volunteer Lake Assessment Program was initiated in 1985 in response to an expressed desire of lake associations to be involved in lake protection and watershed management. VLAP is a cooperative program between volunteer monitors and the DES which leads to local awareness of land use and human practices that may be detrimental to lake quality and also empowers communities in their decision-making regarding lake management issues. The three major partners are the NHDES Biology Section, numerous volunteer monitors located throughout the state, and the VLAP satellite laboratories. Sara Steiner, NHDES VLAP Coordinator (who reports directly to Jody Connor, the Limnology Center Director and VLAP Program Manager), has the overall responsibility for training the volunteer monitors throughout the state in sample collection and watershed monitoring, conducting annual site visits and training interns to conduct annual site visits. NHDES and the volunteer monitors will collect samples from their lake/pond and its watershed, and will then bring samples to the NHDES Limnology Center, the Lake Sunapee Region Laboratory at Colby Sawyer College in New London, or the Environmental Research Laboratory at Plymouth State University in Plymouth. The purpose of VLAP is to assess the chemical and biological characteristics of the lakes and ponds throughout the state to determine overall health of the system. Environmental results are measured by making comparisons to established means and ranges of water quality for the state of New Hampshire. Chemical, biological, and physical parameters are measured and compared to lakes throughout the state. This data is provided to NHDES and the volunteer monitors. The data is used by the NHDES for assessment, education, and reporting purposes. The data are used by the volunteer monitors for educational purposes and for guiding local lake management activities. Volunteers collect water at least once per month during the summer (June –

openCC0Jan 2020View details →
zenodo28/100

Supplementary material 1 from: Anđelković AA, Lawson Handley L, Marchante E, Adriaens T, Brown PMJ, Tricarico E, Verbrugge LNH (2022) A review of volunteers' motivations to monitor and control invasive alien species. NeoBiota 73: 153-175. https://doi.org/10.3897/neobiota.73.79636

List of the studies used in the analysis

opencc-zeroMay 2022View details →
zenodo28/100

Supplementary material 2 from: Anđelković AA, Lawson Handley L, Marchante E, Adriaens T, Brown PMJ, Tricarico E, Verbrugge LNH (2022) A review of volunteers' motivations to monitor and control invasive alien species. NeoBiota 73: 153-175. https://doi.org/10.3897/neobiota.73.79636

Overview of the study characteristics and methodological approaches of the selected papers

opencc-zeroMay 2022View details →
ClinicalTrials.gov28/100

Novel Non-Invasive Monitoring Parameter in Healthy Volunteers

ClinicalTrials.gov study NCT01294514. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

A Prospective Study of a New Device for Monitoring Cerebral Oxygenation on Healthy Volunteers

ClinicalTrials.gov study NCT00598819. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Validation of a Nociception Monitor in Healthy Volunteers

ClinicalTrials.gov study NCT02589093. IPD Sharing: Not stated. Countries: 0. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Nasopharyngeal 24 Hour pH Monitoring in Health Adult Volunteers

ClinicalTrials.gov study NCT00584675. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Medico-ecological Monitoring ((CSM, MCTQ, SPAQ, PSQI, HRV, Spirometry; Anthropometry, BP) of the Different Population Groups (Students, Schoolchildren, Volunteers) in North Caucasus

ClinicalTrials.gov study NCT04851080. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Evaluation of an Algorithm for Identifying Persistent Nasal Staphylococcus Aureus Carriage in a Cohort of Healthy Volunteers and Patients Regularly Monitored at the CHU of Saint-Etienne

ClinicalTrials.gov study NCT02557568. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Assessment in Healthy Volunteers of the Analgesic Effect Monitored by the NOL Index During Hypnotherapy Session

ClinicalTrials.gov study NCT04802239. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

A Quantitative Optical Sensor to Monitor Vascular Physiology; A Healthy Volunteer Study

ClinicalTrials.gov study NCT02321995. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Body Composition Monitoring for Determination of the Fluid Status in Volunteers Undergoing Intravenous Fluid Therapy

ClinicalTrials.gov study NCT02296294. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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dandi-nwb
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