Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
830
datasets available to search
ShareScore release 0.9.0
Dataset results
830 results for “Attitudes”
FIG. 8 in Commercial zooarchaeology of the 'modern' era: a survey of attitudes and practices
FIG. 8. – Are you ever presented with faunal assemblages for analysis from urban contexts dating after AD 1750?
FIG. 3 in Commercial zooarchaeology of the 'modern' era: a survey of attitudes and practices
FIG. 3. – Are you ever involved with the planning of excavation and analysis strategies for sites with 'modern' era material?
FIG. 9 in Commercial zooarchaeology of the 'modern' era: a survey of attitudes and practices
FIG. 9. – If you are presented with assemblages from urban contexts dating from 1750 or later, is it a routine practice of the commercial company, or is it exceptional? If exceptional, what criteria are used for making such a decision?
A Re-examination of Individual attitudes towards migration
<p>Dataset supporting the article "Individual attitudes towards migration: A re-examination of the evidence":</p> <p>In the literature about the determinants of attitudes towards immigration, some authors emphasize the role of economic factors, while others argue that attitudes are mostly determined by non-economic factors. This paper evaluates the relative importance of the two. We estimate a structural model of individual attitudes towards immigration, accounting for unobserved individual factors, and use this model to carry out a decomposition analysis of attitudes in 20 European countries. We find that economic mechanisms are significant determinants of attitudes, but that other (non-economic) factors play a more decisive role in the relation between individual education levels and attitudes to immigration.</p> <p> </p>
Survey on Speech-and-Language Therapists' attitudes and approaches towards multilingualism across four European countries
<p>The file contains all the responses of 300 Speech-and-Language Therapists (SLTs) from Germany, Austria, Italy and Switwerland to a series of questions concerning the provision of speech and language therapy to multilingual children with Developmental Language Disorders. Both the original responses and numerically coded versions are included. Two excel sheets are provided: in the first sheet all responses to the general questionnaire are reported, whereas in the second sheet a subset of the responses obtained from 154 German-speaking SLT respondents are included (more in-depth analyses will be performed on an extended dataset concerning German-speaking SLTs only). These responses have been analysed and presented in the paper titled "Speech and Language Therapy service for multilingual children: Attitudes and approaches across four European countries".</p>
DATA FOR STUDY OF PRIVACY ATTITUDE OF USERS OF SOCIAL NETWORKING SITES AND THEIR EXPECTATIONS FROM LAW IN INDIA
<p>In the present study, on Indian population a disproportionate, stratified, purposive, convenience mixed sampling technique has been adopted in order to ensure proper representation of all the stakeholders concerned with regard to the issue of data privacy in India among the population of the study. The stratified sampling technique is popularly used for a large size population and where it is desirable to purposively have an adequate representation of the all the sub-groups. It is estimated that there are about 0.2 million Law Enforcement Officers (Directors General of Police to Assistant Sub- Inspector), 2.2 million Legal Professionals, including 21,586 Judges, 1.5 million Academicians, about 5000 Information Assurance and Privacy Experts, and 450 million Internet Users in India, out of which 196 million use SNSs. It may be clarified here that all these stakeholders are not only the users of social networking sites but also Indian citizens who are stakeholders in enactment and implementation of the privacy law as and when it is enacted.</p> <p>Based on the size of the total population, a statistically adequate sample size of 385, having a 95 per cent Confidence Level, 5 per cent Margin of Error (Confidence Interval), 0.5 Standard Deviation, a 1.96 Z-score was calculated.</p> <p> </p> <p> </p> <p> </p>
Political, economic, and governance attitudes of blockchain users
<p>Survey responses for academic publication "Political, economic, and governance attitudes of blockchain users"</p>
Political, economic, and governance attitudes of blockchain users
<p>Survey data on the political, economic, and governance attitudes of blockchain users with accompanying description, visualization, and analysis.</p> <p>The <a href="https://metagov.typeform.com/cryptopolitics">Cryptopolitical Typology Quiz</a> was developed by the <a href="https://metagov.org/">Metagovernance Project</a> to help the crypto community understand its political, economic, and governance beliefs. Survey results were collected from September 27, 2021 through March 4, 2022 and have been published on the <a href="https://airtable.com/shr9LYMni8pBUVD6q/tblvwbt4KFm8MOSUQ">Govbase Airtable database</a>.</p> <p>This repository contains both a CSV export of the relevant results and the Python code used to visualize the distribution of responses, investigate the importance of blockchain affiliation and self-reported political orientation, and assess the validity of our constructed political score and types against any axes or features that emerge from the data.</p> <p>To view the results, check out the two Jupyter notebooks in this repository, paste the links to them into <a href="https://nbviewer.org/">nbviewer</a> for prettier in-browser viewing, or fork this repository and run them yourself!</p> <p>If you are interested in supporting ongoing work on the Cryptopolitics project, please get in touch with <a href="https://github.com/metagov/cryptopolitics-paper/blob/master/josh@metagov.org">josh@metagov.org</a>. To get involved with Metagov, join the Metagov <a href="https://metagov.pubpub.org/">community</a> or <a href="https://opencollective.com/metagov">staff</a>.</p> <p>The version in this release was used to generate the results and figures for a manuscript <a href="https://arxiv.org/abs/2301.02734">published on arXiv</a> and submitted for consideration for journal publication.</p> <p>Last modified on December 13, 2022.</p>
An explorative study into the attitudes, skills, and knowledge of primary and post-Primary teachers in relation to the provision for students with English as an Additional Language (EAL).
<p>The data contained here was gathered for a quantitative and qualitative-based study to investigate the attitudes, skills, and knowledge of primary and post-Primary teachers in Ireland in relation to the provision for students with English as an Additional Language (EAL). The data collection period will begin 20th January and the 20th February 2021 and was approved by UCC Social Research Ethics Committee (2021-232). A data codebook is also provided to support the interpretation of the data. </p>
Attitude and CTM predictions for From Tribal Polarization to Socio-Economic Disparities: Exploring the Landscape of Vaccine Hesitancy on Twitter paper
<p>The presented data pertains to predictions of Attitudes and CTM, generated through the application of Machine Learning models. These models have been extensively elucidated in the research paper titled "From Tribal Polarization to Socio-Economic Disparities: Exploring the Landscape of Vaccine Hesitancy on Twitter". The aforementioned data is available to the public.</p>
Рис. 1. ПреΔпочтитеΛьное отношение паукообразных (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) к объектам питания по способу переΔвижения жертвы: I – Λетающие; II – прыгающие; III – бегающие; IV – хоΔящие; V – поΛзающие; VI – маΛопоΔвижные; VII – непоΔвижные. Fig. 1. Preferred attitude of arachnids (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) to food objects by the method of movement of pray: I – flying; II – jumping; III – running; IV – walking; V – crawling; VI – sluggish; VII – motionless. in Comparison of trophic spectra and hunting strategies of some large arachnids (Arachnida: Scorpiones, Solifugae, Aranei) in semi-desert biocenoses of Gobustan (Eastern Azerbaijan)
Рис. 1. ПреΔпочтитеΛьное отношение паукообразных (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) к объектам питания по способу переΔвижения жертвы: I – Λетающие; II – прыгающие; III – бегающие; IV – хоΔящие; V – поΛзающие; VI – маΛопоΔвижные; VII – непоΔвижные. Fig. 1. Preferred attitude of arachnids (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) to food objects by the method of movement of pray: I – flying; II – jumping; III – running; IV – walking; V – crawling; VI – sluggish; VII – motionless.
Dataset of Israeli and Palestinian students' attitudes before and after playing games PeaceMaker and Fact Finders
<p>203 Israeli and Palestinian students participated in a quasi-experimental pre-test post-test design and played the games PeaceMaker and Fact Finders in a different order (Peace Maker first, Fact Finders second or Fact Finders first, Peace Maker second) or played one of the two games (either PeaceMaker or Fact Finders). Their viewpoints and attitudes towards both conflicts (Israel-Palestine conflict and Cyprus conflict) were measured before and after playing each game.</p>
Space Tumbling Attitude Data Generation (STAG)
<p>The STAG experiment aims to provide data on the motion and attitude of tumbling objects in microgravity. The data (acceleration, rotation rate, pressure, temperature, and monocular imagery) is collected during parabolic flight performed with gliders. The dataset can be used for validation of attitude estimation techniques based on monocular imagery, and for dynamics analysis and simulation of non-cooperative objects. The dataset will continue to grow as more flights become available, testing different object shapes and inertias.</p>
Predictors of medical staff’s knowledge, attitudes, and behavior of dysphagia assessment: A cross-sectional study
Open the record for dataset details and reuse information.
Exploring Societal Impact: global researcher attitudes, raw data from a 2019 survey
<p>This data was generated as part of a global survey with more than 9,000 researchers, conducted in June 2019 by Springer Nature. It investigates the global attitudes of researchers towards societal impact, with specific relation to the UN's sustainable development goals. Associated presentations summarising the findings of this research can be found at <a href="https://www.doi.org/10.5281/zenodo.3964940">https://www.doi.org/10.5281/zenodo.3964940</a>, <a href="https://www.doi.org/10.5281/zenodo.3964942">https://www.doi.org/10.5281/zenodo.3964942</a>, and <a href="https://www.doi.org/10.5281/zenodo.3964944">https://www.doi.org/10.5281/zenodo.3964944</a>. Access the Jupyter notebook: <a href="https://www.doi.org/10.5281/zenodo.3957929">https://www.doi.org/10.5281/zenodo.3957929</a>. </p>
Pandemic-related Attitudes, Stressors and Work Outcomes among Medical Assistants during the SARS-CoV-2 ("Coronavirus") Pandemic in Germany: a cross-sectional Study
<p>File type: SPSS file (.sav)</p> <p>Study type: Cross-sectional study</p> <p>Population: Medical assistants in Germany</p> <p>Study period: April 7th-April 14th, 2020</p> <p>Number of participants: 2150</p> <p>Research question: Investigation of pandemic-related attitudes, stressors and work outcomes among medical assistants during the SARS-CoV-2 (“Coronavirus”) pandemic</p> <p>Missing values: None (due to online survey) </p> <p>Original variables: v_982, v_1, v_2, v_3, v_5, v_6, v_7, v_13, v_14, v_21, v_22, v_23, v_24, v_26, v_27, v_28, v_29, v_31, v_32, v_33, v_40, v_41, v_42, v_43, v_46, v_47, v_48 v_49, v_52, v_57, Beruf_MFA</p> <p>All other variables were calculated from the original variables either by rescaling or dichotomization. </p>
Attitudes and Stressors related to the SARS-CoV-2 Pandemic among Emergency Medical Services Workers in Germany: A cross-sectional Study
<p>This dataset stems from a cross-sectional study conducted in April and Mai 2020 among n=1537 emergency medical services workers (EMS) from entire Germany during the first peak of the SARS-CoV-2 pandemic. The study questionnaire was distributed online with help of the German Association of Emergency Medical Service on their social media channels. The collected data provides insights into major stressors among EMS workers at the first peak of the pandemic in Germany and allows for analysis of possible determinants of major stressors via logistic regression analysis. No funding was obtained for this study.</p> <p> </p> <p><strong>Research question:</strong></p> <p>Investigation of pandemic-related attitudes, stressors and work outcomes among emergency medical services workers during the SARS-CoV-2 pandemic</p> <p><strong>Study population: </strong></p> <p>Emergency medical services workers in Germany</p> <p><strong>Study type: </strong></p> <p>Cross-sectional study (two independent cross-sectional waves)</p> <p><strong>File type: </strong></p> <p>SPSS file (.sav)</p> <p><strong>Study periods: </strong></p> <p>First wave: April 9th-16th 2020<br> Second wave: Mai 14th-21st 2020</p> <p><strong>Number of participants: </strong></p> <p>1537</p> <p><strong>Missing values: </strong></p> <p>None (due to online survey) </p> <p><strong>Original variables: </strong></p> <p>v_982, v_1, v_2, v_31, v_4, v_5, v_7, dupl1_v_13, dupl1_v-14, v_57, v_13, v_37, v_38, v_39, v_40, v_41, v_42, v_43, v_44, v_45, v_46, v_47, v_48, v_49, v_50, dupl1_v_40, dupl1_v_41, dupl1_v_42, dupl1_v_43, v_55, Beruf_Rettungsdienst, Welle</p> <p>All other variables were calculated from the original variables either by rescaling or dichotomization. </p> <p>Dichotomization of attitudes, stressors and work outcomes: <br> Answer options "Strongly disagree" and "Disagree" were labelled as "no"<br> Answer options "Agree" and "Strongly Agree" were labelled as "yes"</p> <p>Dichotomization of self-rated health:<br> Answer options "Very bad", "Bad" and "Moderate" were labelled as "Bad".<br> Answer options "Good" and "Very good" were labelled as "Good".</p>
The cognitive and perceptual correlates of ideological attitudes: a data-driven approach
<p>Data and analysis scripts for: </p> <p>Zmigrod L, Eisenberg IW, Bissett PG, Robbins TW, Poldrack RA. 2021 The cognitive and perceptual correlates of ideological attitudes: a data-driven approach. Phil. Trans. R. Soc. B 20200424. https://doi.org/10.1098/rstb.2020.0424</p>
Changes in participant behaviour and attitudes are associated with knowledge and skills gained by using a turtle conservation citizen science app
Citizen science has become a popular way to collect biodiversity data and engage the wider public in scientific research. It has the potential to improve the knowledge and skills of participants, and positively change their behaviour and attitude towards the environment. Citizen science outcomes are particularly valuable for wildlife conservation, as they could help alleviate human impacts on the environment. We used an online questionnaire to investigate the consequences of participating in an Australian turtle mapping app, TurtleSAT, on skills and knowledge gain, and test for any association between these gains with behavioural or attitudinal changes reported by the participants. 148 citizen scientists completed our questionnaire, mostly from the states of New South Wales and Victoria. Participants listed TurtleSAT as the third most common source of knowledge about turtle ecology and conservation, after a talk about turtles and personal observations/research. Citizen scientists who participated more often were more knowledgeable about turtles than infrequent users. Self-reported gains in knowledge and skills were positively linked to attitudinal and behavioural changes, such as being more aware of turtles on roads. However, behaviour and attitude changes were not related to participation rate. Respondents also reported that after learning about the current decline in turtle populations, they adopted several turtle-friendly practices, such as habitat restoration or moving turtles out of harm's way, underlining the importance of increasing people's awareness on species declines. The reported changes in attitudes and behaviours are likely to positively impact the conservation of Australian freshwater turtles. Engagement with citizen science projects like TurtleSAT may result in participants being more interested in the natural world, by learning more about it and being more exposed to it, and therefore contribute more actively to its protection.
Supplementary materials for "Testing the goodness of the EVS gender role attitudes scale"
<p>The files include supplementary results for background analyses performed for the manuscript "Testing the goodness of the EVS gender role attitudes scale" submitted to the journal <em>Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique</em>. One file reports the result from exploratory factor analyses run on the EVS 2008 scale with 7 and 8 items; the other one shows intermediate results from the stepwise regression models performed on the same scale from EVS 2008 and EVS 1999.</p> <p>Lomazzi, V. (2017). Testing the Goodness of the EVS Gender Role Attitudes Scale. <em>Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique</em>, <em>Forthcoming</em>. https://doi.org/10.1177/0759106317710859</p>
ScienceDex guides
Understand access before you commit
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.