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47 results for “Public Perceptions”

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dryad36/100

Deidentified public survey data for: Patterns and perceptions of nicotine use among U.S. adolescents and young adults receiving medication treatment for opioid use disorder

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publicJul 2023View details →
dryad36/100

Impact of disease characteristics and knowledge on public risk perception of Zoonoses

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publicJul 2022View details →
dryad36/100

Survey results for: Public perceptions of cultural ecosystem services provided by beach nourishment and eelgrass restoration in southern Sweden

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publicOct 2022View details →
zenodo32/100

Crowdsourcing public perceptions of urban green space quality: A case study of Rembrandt park in Amsterdam

<p><strong><em>City-dwellers are realizing the benefits of green spaces and are flocking to urban parks. City planners face the challenge of ensuring that urban green spaces are functional for all citizens. To make informed choices they need the right information and that is where the Mijn Park app can help. </em></strong></p> <p>Research shows that when considering the social functions of urban green spaces, quality is just as important as quantity. It is easy enough to map how much green spaces there are, but how do we measure their quality? How do city planners ensure that the city&rsquo;s green areas are attractive, accessible and inclusive &ndash; for everyone? The Vrije Universiteit Amsterdam in collaboration with the International Institute for Applied Systems Analysis developed Mijn Park, a mobile application that will help city planners do just that. As part of the LandSense Citizen Observatory, the &lsquo;Mijn Park&rsquo; (My Park) app asks respondents to go to several locations in a park and give subjective responses to those locations. They are then further questioned about how they use the whole park and how much they would like to see certain changes made in the park. This information provides information that can help to inform decisions about any renovations or improvements to the park.</p> <p>A pilot campaign was conducted in the summer of 2018 in Rembrandt park in Amsterdam and insights from the citizen-driven observations were shared with the Department of Planning and Sustainability of Amsterdam.</p> <p>This dataset includes responses and photographs collected by 129 unique volunteers providing 377 observations in select locations across Rembrandt Park. The following files are available:</p> <ul> <li>_Preview MijnPark-Amsterdam-LandSense.png</li> <li>Attributes-MijnPark-Amsterdam-LandSense.csv</li> <li>MijnPark-Amsterdam-LandSense.csv</li> <li>MijnPark-Amsterdam-LandSense.geoJSON</li> <li>README.txt</li> </ul> <p>&nbsp;</p> <p>This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the <a href="https://landsense.eu/">LandSense Citizen Observatory</a>, <a href="https://www.vu.nl/">Vrije Universiteit</a> (VU), Amsterdam and the <a href="https://iiasa.ac.at/">International Institute for Applied Systems Analysis</a> (IIASA).</p> <p>This project has received funding from the European Union&rsquo;s Horizon 2020 research and innovation programme under grant agreement no 689812.</p>

opencc-by-4.0Jan 2020View details →
zenodo32/100

Exploring and promoting green urban spaces in Vienna - can data about public perception help drive change?

<p>Citizen Science has become a vital source for data collection when the spatial and temporal extent of a project makes it too expensive to send experts into the field. However, involving citizens can go further than that &ndash; participatory projects focusing on subjective parameters can fill in the gap between local community needs and stakeholder approaches to tackle key social and environmental issues.</p> <p>The Horizon 2020 project, <a href="https://landsense.eu/">LandSense</a>, is building a modern citizen observatory for Land Use &amp; Land Cover (LULC) monitoring, by engaging citizens to transform current approaches to environmental decision making. Citizen Observatories are community-driven mechanisms to complement existing environmental monitoring systems and can be fostered through mobile and web applications, allowing citizens to play a key role in environmental monitoring. Within this project, the City Oases mobile application, focused on the city of Vienna, has been developed that aims not only to stimulate civic engagement to monitor changes within the urban environment, but also to enable users to drive improvements by providing city planners with information about the public perception of urban spaces. <a href="https://play.google.com/store/apps/details?id=com.iiasa.cityoases">City Oases</a> was launched in March 2019.</p> <p>Where are the best places for a romantic date? Where can you skate? Where is it cool on a hot summer&rsquo;s day? Open urban spaces can be used in many ways. Pick an activity in the CityOases app and we show the spots where you can do them, including the rating of previous users and pictures from the location. If you visit the spot you can rate it as well based on a few selected subjective criteria. If you know a cool spot that is openly accessible but not marked in our map yet? Just add it with a list of activities and some pictures. Additionally, you can input your perceptions including whether it is noisy, clean or if the infrastructure is attractive. The picture module within the application promotes you to take photos in the four cardinal directions. Users can search for specific activities, visit one of the points indicated on the map and then evaluate this point.</p> <p>Time period of data collection: 19/03/2019 - 10/11/2019</p> <p>Types of contributors: General Public, Students<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Number of contributors: 50<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Number of observations: 788<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Number of photos: 1846</p> <p>Associated files: City Oases Vienna 2019.csv, City Oases Vienna 2019.geoJSON, City Oases Vienna 2019 Attributes.csv</p> <p>This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the <a href="https://landsense.eu/">LandSense Citizen Observatory</a>, <a href="https://www.umweltbundesamt.at/en/">Umweltbundesamt</a> (Environment Agency Austria) and the <a href="https://iiasa.ac.at/">International Institute for Applied Systems Analysis</a>.</p> <p>This project has received funding from the European Union&rsquo;s Horizon 2020 research and innovation programme under grant agreement no 689812.</p>

opencc-by-4.0Feb 2020View details →
zenodo32/100

Expanded response data from Perrin et al. - Contrasts in Public Perception of the Role of Alien Species in Climate Driven Species Turnover

<p>Responses given by 30 respondents from 3 different interest groups on their attitudes to climate change driven species turnover in Norwegian freshwater lakes.</p> <p>The groups are a) recreational fishers, b) individuals responsible for management decisions regarding freshwater lakes or rivers and c) academics involved in research regarding freshwater lakes or rivers.</p> <p>Use of square brackets indicates details have been altered so as to preserve anonymity of respondents.</p> <p>A total of 30 interviews were conducted between August of 2019 and April of 2020. Interviews lasted anywhere from 10 to 50 minutes. Of the 30 interviews, 16 were conducted in person, with the remaining 14 conducted via web meeting. Interview respondents were chosen using the snowball method, as described by Miles and Huberman <a href="https://paperpile.com/c/6PEtIR/dSUU/?noauthor=1">(1994)</a>. This requires an initial pool of contacts, who subsequently nominate other respondents that are suitable for the study.&nbsp;</p> <p>In compliance with requirements of the Norwegian National Research Ethics Committee, all respondents were given an overview of the topic beforehand, assured that their responses would be anonymous, and informed of the intended use of their responses. All interviews were anonymously recorded and subsequently transcribed verbatim. Any details which might have allowed the individuals to be identified based on descriptions of their roles or locations were removed. As interviews were anonymous, ethics approval from the Norwegian National Research Ethics Committee was not required.</p>

opencc-by-4.0Aug 2020View details →
zenodo32/100

Risk perception and travel satisfaction associated with the use of public transport in the time of COVID-19. The case of Turin, Italy

<p>Dataset created from the data of a survey about risk perception and travel satisfaction associated with the use of PT in the time of Covid-19 in Turin metropolitan area (Italy).</p>

opencc-by-4.0Mar 2022View details →
zenodo32/100

Supplementary materials for "The values of public libraries: a systematic review of empirical studies of stakeholder perceptions"

<p>Supplementary materials for &quot;The values of public libraries: a systematic review of empirical studies of stakeholder perceptions&quot;</p> <p>https://www.emerald.com/insight/0022-0418.htm</p>

opencc-by-4.0Jan 2020View details →
zenodo32/100

Teachers' perception of their assessment skills and its relationship with their assessment practices in public universities of Ethiopia

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opencc-by-4.0Oct 2024View details →
zenodo32/100

Dataset - Virtual Influencers and Public Perception: Social Media Sentiment Analysis and A Comprehensive Bibliometric

<p>The dataset contains a collection of articles related to Virtual Influencers and Public Perception: Social Media Sentiment Analysis and A Comprehensive Bibliometric in the Scopus database.</p>

opencc-by-4.0Nov 2024View details →
dryad32/100

Data from: Hunters and their perceptions of public access: a view from afield

The data were collected between 2014 and 2017 and represent interviews of public lands users as they exited the location where they were recreating. Because the data represents human subjects, the data is presented as an aggregate of the original data to protect the participants. Data were aggregated at the party level and specific information about participants removed, as such the analyses represented in the manuscript may not always be represented by this data file as some analyses were conducted at the individual level, not party level, and/or included additional information that was not included here due to concerns over violating human subjects research norms. All analyses were conducted using IBM SPSS Statistics version 25. All data were collected under the approval of the University of Nebraska Institutional Review Board, approval 20120912892EX. For further information about the data or analysis please contact the lead author. Descriptions of the variables included in the data along with the survey questions used to populate the associated variable can be found in the ReadMe file.

opencc-zeroMay 2019View details →
zenodo32/100

Survey Data: UK Public Perceptions of EDCs

<p>Data set from a UK national survey conducted by researchers at Queens University Belfast in May 2020. Survey contains data collected for a study on the public&#39;s awareness and risk perceptions of endocrine disrupting chemicals.</p>

opencc-by-4.0Jul 2021View details →
ClinicalTrials.gov32/100

Public Perception and Policy for SARS-CoV-2 Whole Genome Sequencing and Genomics for All

ClinicalTrials.gov study NCT06441981. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
dryad32/100

Social media and public perception as core aspect of public health: the cautionary case of @realdonaldtrump and COVID-19

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publicMay 2021View details →
dryad32/100

Giant icons and lesser kin: Chinese public perception of panda welfare at Chengdu Research Base of Giant Panda Breeding

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publicSep 2025View details →
dryad32/100

Data from: Hunters and their perceptions of public access: a view from afield

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publicMay 2019View details →
zenodo28/100

Understanding Media's Role in Public Perception: Discrepancies in Sentiment During the COVID-19 Pandemic in English and Croatian News Media

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opencc-by-4.0Aug 2024View details →
zenodo28/100

Dataset - Vera San Martin et al (2024) Assessing Perceptions and Interpretations of Tsunami Maps: Insights from the Public and Risk Experts

<p>Supplementary materials to the manuscript titled: <strong>Assessing Perceptions and Interpretations of Tsunami Maps: Insights from the Public and Risk Experts</strong></p> <p>Authors: Teresa Vera San Mart&iacute;n, Gloria I. L&oacute;pez, Carlos Mestanza-Ram&oacute;n, Celene B. Milan&eacute;s, and Fausto A. Canales</p> <p>Contains:</p> <ul> <li>Questionnaires for general users and experts (in English)</li> <li>JASP models</li> <li>Responses from participants (raw - in English and Spanish - and processed)</li> </ul>

opencc-by-4.0Nov 2024View details →
ClinicalTrials.gov28/100

Public Perceptions Toward Robotic Surgery, Telesurgery and Telemedicine

ClinicalTrials.gov study NCT06803719. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

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

Effect of Perception-based Interventions on Public Acceptance of Using Large Language Models in Medicine

ClinicalTrials.gov study NCT07304908. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record