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Figure 3 in Motivations and contributions of volunteer groups in the management of invasive alien plants in South Africa's Western Cape province
Figure 3. Challenges (n = 26) faced by volunteering by groups in the management of invasive alien plants in Western Cape, South Africa.
Surface Marine Carbonate System Data (2019-2024) from Volunteer Observing Ship monitoring across the Western Mediterranean Sea
<p><strong><span><span>1.<span> </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’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> </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-Hernández et al., 2021a, 2021b). An automated CO2 molar fraction (xCO2) measurement system, developed by Craig Nail and commercialized by General Oceanics™, was installed on the ship. This system integrates air and seawater equilibrators with a non-dispersive infrared analyzer by LICOR® 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 ±0.01ºC. A SBE45 thermosalinograph and a Hart Scientific HT1523 Handheld Thermometer, with reported errors of ±0.01ºC, 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 ±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 ±1.5 </span><span>μ</span><span>mol kg-1 for AT and ±1.0 </span><span>μ</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: </span></p> <p><span><span>·<span> </span></span></span><span>“Date” (dd/mm/yyyy)</span></p> <p><span><span>·<span> </span></span></span><span>“Time” (hh:mm:ss)</span></p> <p><span><span>·<span> </span></span></span><span>“Latitude”</span></p> <p><span><span>·<span> </span></span></span><span>“Longitude”</span></p> <p><span><span>·<span> </span></span></span><span>“equTemp”: seawater temperature measured inside the equilibrator using a Hart Scientific HT1523 Handheld Thermometer.</span></p> <p><span><span>·<span> </span></span></span><span>“stdVal”: value of the standard gases used for automatically calibrations.</span></p> <p><span><span>·<span> </span></span></span><span>“xCO2”: measured CO2 molar fraction without performing any correlation (raw data).</span></p> <p><span><span>·<span> </span></span></span><span>“atmPress”: Atmospheric pressure (units: atm).</span></p> <p><span><span>·<span> </span></span></span><span>“equPress”: Diffeence in pressure between the atmosphere and the equilibrator (units: atm).</span></p> <p><span><span>·<span> </span></span></span><span>“SST_SBE38”: Sea surface temperature measured with a SBE38 thermometer at the main seawater intake of the vessel.</span></p> <p><span><span>·<span> </span></span></span><span>“Temp_SBE45”: Seawater temperature measured with a SBE45 thermosalinograph just before the water supply to the equilibrator.</span></p> <p><span><span>·<span> </span></span></span><span>“SSS_SBE45”: Sea surface salinity measured with a SBE45 thermosalinograph just before the water supply to the equilibrator.</span></p> <p><span><span>·<span> </span></span></span><span>“xCO2corr_sw”: CO2 molar fraction measured in the sea surface after correction by using standard gases.</span></p> <p><span><span>·<span> </span></span></span><span>“xCO2corr_atm”: CO2 molar fraction measured in low atmosphere after correction by using standard gases.</span></p> <p><span><span>·<span> </span></span></span><span>“pCO2sw”: Partial pressure of CO2 in the sea surface (units: µatm).</span></p> <p><span><span>·<span> </span></span></span><span>“pCO2atm”: Partial pressure of CO2 in low atmosphere (units: µatm).</span></p> <p><span><span>·<span> </span></span></span><span>“fCO2sw”: fugacity of CO2 in the sea surface (units: µatm).</span></p> <p><span><span>·<span> </span></span></span><span>“fCO2atm”: fugacity of CO2 in low atmosphere (units: µatm).</span></p> <p><span><span>·<span> </span></span></span><span>“AT”: Total Alkalinity (µmol kg-1)</span></p> <p><span><span>·<span> </span></span></span><span>“CT”: Total Inorganic Carbon (µmol kg-1)</span></p> <p><span><span>·<span> </span></span></span><span>“pH”: pH in surface seawater at in situ temperature computed in CO2sys using as input variables AT and fCO2sw.</span></p> <p><span><span>·<span> </span></span></span><span>“pH25”: pH in surface seawater at constant temperature of 25ºC computed in CO<sub>2sys</sub> using as input variables AT and fCO2sw.</span></p> <p><span> </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 (2019–2024), and the CARBOCAN agreement (Consejería de Transición Ecológica y Energía, Gobierno de Canarias). We would like to thank the JONA SOPHIE ship owner, the NISA-Marítima 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>
[Dataset] Does Volunteer Engagement Pay Off? An Analysis of User Participation in Online Citizen Science Projects - Graph Files
<p><strong>Explanation/Overview:</strong></p> <p>Corresponding graph files of the extracted Zooniverse networks described in D3.3 (can be found here), which are the result of our research that culminated into the publication "Does Volunteer Engagement Pay Off? An Analysis of User Participation in Online Citizen Science Projects", a conference paper for the conference CollabTech 2022: <a href="https://link.springer.com/book/10.1007/978-3-031-20218-6">Collaboration Technologies and Social Computing</a> and published as part of the <a href="https://link.springer.com/bookseries/558">Lecture Notes in Computer Science</a> book series (LNCS,volume 13632) <a href="https://link.springer.com/chapter/10.1007/978-3-031-20218-6_5">here</a>. Usernames have been anonymised.</p> <p>The graph files are in <code>.gexf</code> (graph exchange XML format) and <code>.gml</code> (graph modeling language) formats which can be used by common graph/network-analysis and visualisation tools such as Gephi.</p> <p><strong>Purpose:</strong></p> <p>The purpose of this dataset is to provide the basis for possible further examinations of the network structure, involving additional (not yet analysed) features such as the content of the comments etc.</p> <p><strong>Relatedness:</strong></p> <p>The data of the different projects was derived from the forums of 7 Zooniverse projects based on similar discussion board features. The projects are: 'Galaxy Zoo', 'Gravity Spy', 'Seabirdwatch', 'Snapshot Wisconsin', 'Wildwatch Kenya', 'Galaxy Nurseries', 'Penguin Watch'.</p> <p><strong>Content:</strong></p> <p>The dataset contains distinct graph files for each of the analysed projects. For each graph file, there are <em>nodes </em>and <em>edges</em> and their associated attributes (i.e., each edge can have an attribute). For the edges, apart from source and target, we have as attributes:</p> <ul> <li><code>weight</code></li> <li><code>project_title</code></li> <li><code>body </code>(i.e., text)</li> <li><code>created_at</code></li> <li><code>userRoles</code></li> <li><code>discussion_title</code></li> <li><code>discussion_id</code></li> <li><code>user_id</code></li> <li><code>board_title</code></li> <li><code>relation</code></li> <li><code>target_role</code></li> </ul> <p>For the nodes, the attributes are:</p> <ul> <li><code>user_id</code></li> <li><code>userRoles</code></li> <li><code>degree_reply </code>(i.e., degree for the reply relation)</li> <li><code>in_degree_reply</code></li> <li><code>out_degree_reply</code></li> <li><code>degree_comment</code></li> <li><code>in_degree_comment</code></li> <li><code>out_degree_comment</code></li> <li><code>degree_total</code></li> <li><code>in_degree_total</code></li> <li><code>out_degree_total</code></li> <li><code>target_role</code></li> </ul> <p><strong>Grouping:</strong></p> <p>Each graph file represents all the comments for the respective project across its lifespan irrespective of any time slices. Edges represent the comments and users represent the nodes. While the different boards are still contained within the data, all boards occur in the data.</p> <p> </p>
[Dataset] Is it a match? Motivations on citizen science volunteers and recruitment arguments in project descriptions
<p>This dataset contains the necessary details to reproduce the experiments of the paper:</p> <p><em>Kai Nils, W., Gutiérrez Páez,N.F., Sabel, O. and Hämäläinen, R. (2022) “Is It a Match? Motivations on Citizen Science Volunteers and Recruitment Arguments in Project Descriptions.” In Proceedings of the ECSA2022 conference: Citizen Science for Planetary Health, 69–70. <a href="https://2022.ecsa-conference.eu/files/ecsa/Bilder/ECSA2022_Conference_Proceedings.pdf">https://2022.ecsa-conference.eu/files/ecsa/Bilder/ECSA2022_Conference_Proceedings.pdf</a></em></p> <p>Data has been collected by quantitative triangulation. 1076 participants in citizen science projects answered a survey about the 12 motivational factors for participating. They had access to the survey by social media posts or email invitations sent to people in charge of projects. Data regarding motivational arguments in recruitment come from quantitative content analysis of 367 project descriptions of the website Zooniverse. The content analysis of the project descriptions was done manually by two coders independently. Then, both coders analysed their codings and reached consensus.</p>
Data for: Considerations for fitting occupancy models to data from eBird and similar volunteer-collected data
<p>An occupancy model makes use of data that are structured as sets of repeated visits to each of many sites, in order estimate the actual probability of occupancy (i.e., proportion of occupied sites) after correcting for imperfect detection using the information contained in the sets of repeated observations. We explore the conditions under which preexisting, volunteer-collected data from the citizen science project eBird can be used for fitting occupancy models. The data archived here are used to explore two ways in which the single-visit records could be used in occupancy models. First, we use empirical data contained within this archive to assess the potential for space-for-time substitution: aggregating single-visit records from different locations within a region into pseudo-repeat visits. The archived data are used to illustrate that the locations chosen for data collection by observers were not always representative of the habitat in the surrounding area, which would lead to biased estimates of occupancy probabilities when using space-for-time substitution. Second, create a large set of simulated data (output from the simulations contained in this archive) that we used to explore the utility of including data from single-visit records to supplement sets of repeated-visit data.</p>
COVID-19 Study to Assess Immunogenicity, Safety, and Tolerability of Moderna mRNA-1273 Vaccine Administered With Casirivimab+Imdevimab in Healthy Adult Volunteers
ClinicalTrials.gov study NCT04852978. IPD Sharing: YES. Countries: 1. Publications: 1.
Interstitial cortisol measurements aligned by wake time, healthy volunteers
Open the record for dataset details and reuse information.
Data for: Considerations for fitting occupancy models to data from eBird and similar volunteer-collected data
Open the record for dataset details and reuse information.
Bird observations collected by volunteers along census tracks in the Parker River National Wildlife Refuge, intervals of observations are approximately twice a month.
This file contains bird observations collected by volunteers along census tracks in the Parker River National Wildlife Refuge, Massachusetts. Intervals of observations are approximately twice a month.
Full dataset for: Diversifying environmental volunteers by engaging with online communities
<p>1. Environmental volunteering can benefit participants and nature through improving physical and mental wellbeing while encouraging environmental stewardship. To enhance achievement of these outcomes, conservation organisations need to reach different groups of people to increase participation in environmental volunteering. This paper explores what engages communities searching online for environmental volunteering.</p> <p>2. We conducted a literature review of 1032 papers to determine key factors fostering participation by existing volunteers in environmental projects. We found the most important factor was to tailor projects to the motivations of participants. Also important were: promoting projects to people with relevant interests; meeting the perceived benefits of volunteers and removing barriers to participation.</p> <p>3. We then assessed the composition and factors fostering participation of the NatureVolunteers's online community (n = 2216) of potential environmental volunteers and compared findings with those from the literature review. We asked whether projects advertised by conservation organisations meet motivations and interests of this online community.</p> <p>4. Using Facebook insights and Google Analytics we found that the online community were on average younger than extant communities observed in studies of environmental volunteering. Their motivations were also different as they were more interested in physical activity and using skills and less in social factors. They also exhibited preference for projects which are outdoor based, and which offer close contact with wildlife. Finally, we found that the online community showed a stronger preference for habitat improvement projects over those involving species-survey based citizen science.</p> <p>5. Our results demonstrate mis-matches between what our online community are looking for and what is advertised by conservation organisations. The online community are looking for projects which are more solitary, more physically active and more accessible by organised transport. We discuss how our results may be used by conservation organisations to better engage with more people searching for environmental volunteering opportunities online.</p> <p>6. We conclude that there is a pool of young people attracted to environmental volunteering projects whose interests are different to those of current volunteers. If conservation organisations can develop projects that meet these interests, they can engage larger and more diverse communities in nature volunteering.</p>
Memorial to Welsh Volunteers (Spanish Civil War)
memorial to welsh volunteers in the spanish civil war *Created during COMSC Placement 2021 Cardiff University* This stone memorial was created in 1992 to commemorate the 169 Welsh Volunteers who helped aid the Spanish civil war in the 1930; 36 of which died in the conflict. This model was created using meshroom and edited using autodesk recap photo. The link to the website where we give a more detailed description of our wider range of models is here: https://robinechoalex.github.io/cardiff-public-art-models/ Source: Objaverse 1.0 / Sketchfab
Assessing Community Health Volunteers’ Knowledge Level on Cervical Cancer in Kadibo, Kisumu County: A Cross Sectional Survey-1
<p>Data set for the manuscript titled, "Assessing Community Health Volunteers’ Knowledge Level on Cervical Cancer in Kadibo, Kisumu County: A Cross Sectional Survey"</p>
MRI raw data: SE measurement of the knee of a healthy volunteer (8 channel coil)
<p>SE measurement of the knee of a healthy volunteer Sequence parameters:</p> <p>TR 1800ms<br> TE 18ms<br> Matrix Size 192x192<br> In Plane Resolution 0.78mmx0.78mm<br> Slice Thickness 2mm<br> 3T System<br> 8 channel knee coil<br> Florian Knoll (florian.knoll@tugraz.at) Date: 2.2.2011</p> <p>Acknowledgements to Tobias Block and Martin Uecker for their support with the in vivo radial spin echo data.</p>
MRI raw data: T2 weighted TSE scan of a healthy volunteer (32 channel head coil)
<p>T2 weighted TSE Scan of the brain of a healthy volunteer, 32 channel coil</p> <p>Sequence parameters:<br> TR 5000ms<br> TE 99ms<br> Turbo Factor 10<br> Matrix Size 256x256<br> In Plane Resolution 0.9mmx0.9mm<br> Slice Thickness 4mm<br> 3T System<br> 32 channel head coil</p> <p>Florian Knoll (florian.knoll@tugraz.at)<br> Date: 2.2.2011<br> </p>
MRI raw data: T2 weighted TSE scan of a healthy volunteer (4 channel head coil)
<p>T2 weighted TSE Scan of the brain of a healthy volunteer, 4 channel coil</p> <p>Sequence parameters:<br> TR 5000ms<br> TE 99ms<br> Turbo Factor 10<br> Matrix Size 256x256<br> In Plane Resolution 0.9mmx0.9mm<br> Slice Thickness 4mm<br> 3T System<br> 4 channel head coil</p> <p>Florian Knoll (florian.knoll@tugraz.at)<br> Date: 2.2.2011<br> </p>
Sergeant Donald A W Leftly RAF Volunteer Reserve
gravestone. Sergeant Donald Arthur William LEFTLY (911476) of the Royal Air Force Volunteer Reserve Air Bomber. Circumstances of Death: Lost in aircraft Lancaster I LL913 IBCC Death of Death 1944-04-23 Served in 103 Sqdn Burial/Commemoration Details : Spec. Memorial. at Leyton (St. Mary With St. Edwa, United Kingdom (Map) Aircraft Accident / Loss Entry Date: 23 Apr 44 Aircraft: Lancaster I LL913 Unit 103 Sqdn Airfield /Crash Location , UK Details Took off 2316 22 April 1944 from Elsham Wolds. Returning to base flew into the side of a hill at 0456 near Thorpe Hall some 5 miles SSW of helmsley North Yorkshire. Source Henk Welting's Database (http://www.rafcommands.com/database/wardead/details.php?qnum=26611) Source: Objaverse 1.0 / Sketchfab
Jewish Soldiers of the Bohemian Freikorps 'Legion Erzherzog Carl' and other Volunteer Formations of the 1809 War
<p>In 1808, as it was preparing for a major new war against Napoleonic France, the armed forces of the Habsburg Monarchy were augmented by two additional recruitment systems. In parallel to the creation of a trained reserve, which significantly increased the manpower available to the regular army, a popular levy was raised in the Austro-Bohemian crown lands. With a strength of nearly 150 battalions, the <em>Landwehr</em> was intended primarily for national defence. Its individual battalions were formed on a strictly territorial basis, ensuring men from the same area would serve together. In March 1809, when general mobilisation was declared, members of the <em>Landwehr</em> were asked to offer themselves as war volunteers. In the Kingdom of Bohemia, six battalions of such volunteers were drawn out of a total of 50 <em>Landwehr</em> battalions. To emphasise that they were wartime formations and not part of the standing army, these volunteer battalions were formally designated either as <em>Freikorps</em> or as <em>Freiwillige</em>. The Bohemian <em>Freikorps</em> was named <em>Legion Erzherzog Carl</em> in honour of the Austrian commander-in-chief, Generalissimo Archduke Charles. Unlike the regular army and the <em>Land</em><em>wehr</em>, the bulk of the Legion was made of genuine volunteers. The unit sustained heavy combat casualties, but relatively few of its soldiers were taken prisoner, deserted, or went missing. Despite the defeat of the Austrian army, the Legion's battalions maintained their combat effectiveness to the very end of the war.</p> <p>Based on all available manpower reports preserved in the Austrian State Archives, this database covers all <strong>16 documented Jewish soldiers</strong> of the <em>Legion EH Carl</em>. Apart from one veteran non-commissioned officer who was transferred from the regular army, the remaining Jewish soldiers volunteered from their respective Landwehr battalions or were exempt civilians who signed up directly into the unit. The detailed monthly tables enable the reconstruction of their entire service itineraries, almost on a daily basis. When considered together, the Jewish soldiers of the Legion appear to have been enthusiastic fighters. By the end of the war, half of them had either become casualties or had been promoted to non-commissioned officers. Contrary to many regular army and <em>Landwehr</em> units, the <em>EH Carl Legion</em> did not experience disciplinary disintegration. It was, therefore, able to retain most of its men during the retreats from Bavaria and from the Battle of Wagram. Hence, most of its Jewish soldiers survived the war and were honourably discharged when the Legion was dissolved in January 1810.</p> <p>The remaining <strong>25 entries</strong> cover all the documented Jewish soldiers who served in other volunteer formations of the Austrian army during the 1809 War. Similar to Bohemia, volunteers were raised from the 24 <em>Landwehr</em> Battalions of Moravia and Silesia. The service record of the <em>Mährische-Schlesische Freiwillige</em> was similar to that the <em>Legion EH Carl</em>. Its three battalions fought well, as did its eight Jewish soldiers. Very different was the experience of the three Free Battalions from Galicia where not enough local volunteers came forward. After failing to reach the desired strength at the start of the war, these units first took foreign mercenaries and deserters and then, when many of these ran away, had to resort to conscripts. The fifteen Jewish soldiers of the Galician battalions were just that - a combination of transferees from the regular army, foreigners (including a deserter from the French army), and later in the war, conscripts. Almost half of them had deserted before the battalions were disbanded. The Bukovina Freikorps actually had two stages: a popular levy, which was badly defeated by the advancing Poles and which was subsequently re-organised as an army-run <em>Freikorps</em> manned primarily by second echelon troops: border guards, garrison troops, and members of the deserter cordon. Each of these formations had a Jewish soldier. Both were volunteers, and one of them even came with his own horse.</p> <p>It should be made clear that the <strong>41 individual entries</strong> in this dataset cannot give a full picture of the Jewish presence in volunteer formations in 1809. Unusually, the enlistment papers of the six battalions of the <em>Wiener Freiwillige</em>, by far the best-known volunteer formation of the Austrian army, did not record the religion of the recruits. Any Jew who served in that unit would not be known to us. Furthermore, the experience of the Jewish members of the volunteer formations should be seen in wider context. It was colourful but unrepresentative. There were probably hundreds of Jews in the <em>Landwehr</em> and several thousands in the regular army. Collective enthusiasm to volunteer pro-actively for military service to prove a point, which occurred in Jewish communities of the Habsburg Monarchy later on and particular during the First World War, was still very far away.</p> <p>For more information on the Austrian Volunteer Formations during the 1809 War, see:</p> <p><a href="https://library.hungaricana.hu/en/view/MitKuKKriegsArch_1898_Supplement_02/?pg=471&layout=r" target="_blank" rel="noopener">Alfons von Wrede, <em>Geschichte der k. und k. Wehrmacht</em>, 5 Vols., (Vienna: Seidel, 1898–1905), Vol. 2, pp. 459-66.</a></p> <p>For more information on the Legion EH Carl, see:</p> <p>Anton Ernstberger, <em>Böhmens Freiwilliger Kriegseinsatz gegen Napoleon 1809</em>, Veröffentlichen des Collegium Carolinum 14, (Munich: Robert Lerche, 1963), pp. 9-55.</p>
Effect of percutaneous electrical stimulation with high-frequency alternating currents at 30 kHz on the sensory-motor system of healthy volunteers.
<p>Unmodulated high-frequency alternating currents (HFAC) are employed for producing peripheral nerves block. HFAC have been applied in humans with frequencies up to 20 kHz, whether transcutaneously, percutaneously, or via surgically-implanted electrodes. The aim of this study was to assess the effect of percutaneous HFAC, applied with ultrasound-guided needles at 30 kHz, on the sensory-motor nerve conduction of healthy volunteers.</p>
Voice of the volunteers
<p>The ‘Voice of the Volunteers’ workshop was designed to hear directly from volunteers who had taken part in online cultural heritage citizen research projects. We wanted to hear about their motivations, experience and preferences. We also used the workshop as an opportunity to elicit feedback on the newly launched indexing tool, which allows volunteers taking part in Zooniverse projects to choose their own pathway through a set of records.</p> <p>This workshop was part of a series of workshops within the project<a href="https://tanc-ahrc.github.io/EngagingCrowds/index.html"> </a><a href="https://tanc-ahrc.github.io/EngagingCrowds/index.html"><em>Engaging Crowds: citizen research and heritage data at scale</em></a>, a collaboration between<a href="https://www.nationalarchives.gov.uk/"> The National Archives</a>,<a href="https://www.rbge.org.uk/"> the Royal Botanic Garden Edinburgh</a>,<a href="https://www.rmg.co.uk/national-maritime-museum"> Royal Museums Greenwich</a> and<a href="https://www.zooniverse.org/"> Zooniverse at the University of Oxford</a>. <em>Engaging Crowds</em> is a Foundation Project within the Arts and Humanities Research Council-funded<a href="https://www.nationalcollection.org.uk/"> Towards a National Collection programme</a>.</p>
Volunteer survey report
<p>At the beginning of March 2022, we ran a survey to help us to understand more about the volunteers who have contributed to the three Engaging Crowds<em> </em>citizen research projects on the Zooniverse platform and to evaluate the indexing tool that was developed as part of the project.</p> <p>The survey link was circulated via a Zooniverse email newsletter to all registered volunteers who had taken part in these projects</p> <p>A total of 379 people took the survey, with 318 completing it and 61 partially completing it.</p> <p>The survey was divided into three sections, which asked volunteers to share reflections on their previous experience of citizen research, on the new Zooniverse indexing tool designed as part of Engaging Crowds, and on the wider impact of citizen research on their lives. This report includes responses to each quantitative question and a summary of qualitative responses. Respondents consented to their responses being analysed and the survey’s anonymised results published. </p> <p>Responses to this survey provide extensive evidence that online cultural heritage citizen research has an overwhelmingly positive self-reported impact on participants. Respondents cited a range of benefits to participation in online cultural heritage citizen research projects. These were a mixture of altruistic benefits, such as helping with research, giving back, and increasing access to records, and benefits to the individual, including providing opportunities for learning and development, filling in time productively, and gaining a sense of community.</p> <p>Feedback on the Zooniverse indexing tool was broadly positive. Many respondents reported that they liked being able to choose the subject set they worked on.</p> <p>The survey also suggests that online cultural heritage citizen research encourages participants to engage in follow-up activities and extend their engagement into their personal networks and wider society, for example, by talking to others, encouraging others to contribute, and engaging with related projects.</p>
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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.