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Dataset results
240 results for “survey results”
Results of the color picking survey
<p>This datasets summarizes the results of the colorpicking survey that we conducted at EPFL using the colorjeopardy app (<a href="https://doi.org/10.5281/zenodo.3831841">10.5281/zenodo.3831841</a>) in spring 2020. </p> <ul> <li>color_string: is the color name from the CSD that was presented the survey participants</li> <li>hex: is the hex code of the color the survey participants picked</li> <li>starttime: is the time the participants started picking the color</li> <li>time_stamp: is the time the participants submitted the pick </li> </ul>
Sonic Kayak feedback survey results
<p>This data set is part of the Sonic Kayak project https://fo.am/activities/kayaks/</p> <p>An anonymous survey was performed online in August/September 2020, to gather people's opinions on the Sonic Kayak project, as we were not able to take people out to try the kayaks in person. A video explainer was provided (https://www.youtube.com/watch?v=puLXKj1AVAk) followed by optional prompting questions. The data presented is in its raw form.</p>
Results of Survey on Playertypes by Gamification User Types Hexad Framework in Higher Education
<p>Survey on playertypes via the validated quesitonaire published in Krath, J., von Korflesch, H.F.O. (2021). Player Types and Game Element Preferences: Investigating the Relationship with the Gamification User Types HEXAD Scale. In: Fang, X. (eds) HCI in Games: Experience Design and Game Mechanics. HCII 2021. Lecture Notes in Computer Science(), vol 12789. Springer, Cham. https://doi.org/10.1007/978-3-030-77277-2_18</p> <p>Between 25.01.23 and 08.02.23 students of the University of Lübeck, Germany were invited to fill out an online questionnaire. The acquisition was done by sending an email to the students. No incentive was offered for participation, except to find out at one's own expression at the end of the survey. In addition to the validated questions, this also included questions about gender and study area. All participants agreed to anonymous data collection and publication. Participants were also asked to confirm that they were completing the survey for the first time, otherwise the return was removed from the result set. </p> <p>The result set is formatted as CSV. Questions and identifiers of the data are shown in the first line.</p>
Inter-Chemical Correlation results for the study: NHANES20172018 (NHANES Survey 2017-2018)
Title: NHANES Survey 2017-2018 <br>Species: Homo sapiens <br>Number of samples: 8433 <br>Number of named analytes: 86 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Dataset of Survey Results on the Integration of Industry 4.0 in University Education (Baja California, 2024)
<p>This dataset contains the results of a survey conducted in 2024 on the integration of Industry 4.0 concepts and technologies in university education in Baja California. The survey was designed to assess the current state of adoption, challenges, and opportunities related to Industry 4.0 within academic institutions. The data includes responses from engineering students at the Autonomous University of Baja California (UABC) and the Polytechnic University of Baja California (UPBC). The insights gathered aim to inform future strategies for enhancing the implementation of Industry 4.0 in higher education curricula.</p>
Inter-Chemical Correlation results for the study: NHANES20132014 (NHANES Survey 2013-2014)
Title: NHANES Survey 2013-2014 <br>Species: Homo sapiens <br>Number of samples: 10269 <br>Number of named analytes: 218 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES20072008 (NHANES Survey 2007-2008)
Title: NHANES Survey 2007-2008 <br>Species: Homo sapiens <br>Number of samples: 8529 <br>Number of named analytes: 174 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES20032004 (NHANES Survey 2003-2004)
Title: NHANES Survey 2003-2004 <br>Species: Homo sapiens <br>Number of samples: 10012 <br>Number of named analytes: 427 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES19992000 (NHANES Survey 1999-2000)
Title: NHANES Survey 1999-2000 <br>Species: Homo sapiens <br>Number of samples: 9652 <br>Number of named analytes: 252 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES20152016 (NHANES Survey 2015-2016)
Title: NHANES Survey 2015-2016 <br>Species: Homo sapiens <br>Number of samples: 9170 <br>Number of named analytes: 341 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES20112012 (NHANES Survey 2011-2012)
Title: NHANES Survey 2011-2012 <br>Species: Homo sapiens <br>Number of samples: 10352 <br>Number of named analytes: 201 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES20012002 (NHANES Survey 2001-2002)
Title: NHANES Survey 2001-2002 <br>Species: Homo sapiens <br>Number of samples: 9851 <br>Number of named analytes: 230 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES20052006 (NHANES Survey 2005-2006)
Title: NHANES Survey 2005-2006 <br>Species: Homo sapiens <br>Number of samples: 9582 <br>Number of named analytes: 319 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES20092010 (NHANES Survey 2009-2010)
Title: NHANES Survey 2009-2010 <br>Species: Homo sapiens <br>Number of samples: 9717 <br>Number of named analytes: 186 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Financing conditions of renewable energy projects – results from an EU wide survey
<p>The dataset contains data related to financing conditions and costs of capital for onshore wind, solar PV and offshore wind within the EU. It provides data on minimum, maximum and average country and technology-specific values on costs of debt, debt service coverage ratios, loan tenors, debt size, costs of equity and WACC values. The data was collected between September 2019 and April 2020.</p> <p>The data contains values for onshore wind in Austria, Belgium, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Italy, Latvia, Lithuania, Netherlands, Poland, Portugal, Romania, Spain and Sweden. Furthermore, it contains values for solar PV in Czech Republic, Estonia, France, Greece, Hungary, Latvia, Portugal, Romania, Slovakia and Spain. Finally, it also contains values for offshore wind in Belgium, France, Germany and UK. </p> <p>The PDF files are survey questionnaires that were used for the data collection. This includes 1) a survey questionnaire used in an exploratory research phase, in which we identified the most relevant research aspects related to the impacts of auctions on costs of capital and financing 2) a survey questionnaire used for the focus-group countries (Germany, Denmark, Spain, Portugal and Greece), which includes a list of more extensive qualitative questions and 3) a survey questionnaire used for the focus-group countries (all other EU member states) and which focused only on collecting the quantitative data. </p>
Water Dawgs STEM Confidence Survey Results, 2023
This dataset originates from a STEM confidence survey conducted during the Water Dawgs program—a paid summer initiative hosted at the University of Georgia (UGA) in Athens, Georgia, USA. Held over 10 days in Summer 2023, the program engaged 16 high school students in a hands-on experience in freshwater science. Water Dawgs was designed to support students’ academic and professional development, with an emphasis on increasing access for individuals from populations historically excluded from STEM fields. The initiative was part of the broader impacts of two National Science Foundation-funded research projects and was shaped by three main objectives: (1) to expand access to university-led STEM opportunities by collaborating with a local public high school to recruit students from underrepresented backgrounds; (2) to highlight the connections between environmental science and students’ everyday lives and future career options, including non-STEM pathways; and (3) to foster greater self-efficacy in engaging with STEM subjects, particularly environmental science. The survey was administered at both the beginning and conclusion of the 10-day program to assess changes in participants’ confidence related to STEM. The survey measured STEM confidence using a Likert scale ranging from 1 to 5, with 1 indicating "not at all confident" and 5 indicating "totally confident." The included R code contains a script to generate a figure and summary statistics for questions related to general STEM confidence, specifically Questions 2, 6, 7, 9, and 12. One participant who only submitted a post-program survey was excluded from the dataset and analysis to ensure consistency across responses.
CitieS-Health Barcelona Survey Results
<p>This dataset contains the data collected using an online survey on knowledge, perceptions and preferences on topics to be investigated around the theme of air pollution and health in Barcelona, Spain. The data collected are for the CitieS-Health project in Barcelona. A scientific paper based on the online survey results is under review. </p>
Dataset - Survey results - Applying Model-based Requirements Engineering in Three Large European Collaborative Projects
<p>This dataset and its associated report contain the results of an online survey on using a model-based requirements engineering approach in three European projects. </p>
Dataset with the results of the e-infrastructures Austria National Survey about Research Data
<p>This is the dataset accompanying the report with the results of our national survey regarding the management of research data</p>
Results from the RDM Survey - LEARN project (December 2016)
<p>Data obtained from the open survey developed by the LEARN project (http://www.learn-rdm.eu/) as a self-assessment tool to assist institutions discover how ready they are for managing research data. This dataset replaces the first one published at http://doi.org/10.5281/zenodo.61903. The survey is based on the issues posed to institutions by the LERU Roadmap for Research Data published at the end of 2013, and available at: http://www.learn-rdm.eu/material/leru_roadmap_for_research_data<br> The survey has thirteen questions addressing the main elements to be taken into account in developing an institutional strategy for research data management. Each question has three possible answers representing green, yellow or red light. The more ‘green light’ responses recorded, the readier an institution probably is for managing its research data.</p> <p>The survey is available in English at http://learn-rdm.eu/en/rdm-readiness-survey/ and in Spanish at http://learn-rdm.eu/encuesta-rdm/</p>
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.