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.
1,608
datasets available to search
ShareScore release 0.9.0
Dataset results
1,608 results for “Psychology”
Populist attitudes and other socio-political views and psychological traits of the UK population
<p>This dataset is the result of an original survey designed by an interdisciplinary team of researchers from National Universtity of Distance Education (UNED), University of Zaragoza, University of Córdoba and University of Valencia.</p> <p>The goal of the survey was to better understand the relationship between populist attitudes and relevant socio-political and psychology items and indexes. The UK was selected as case study given the lack of similar studies in this country and the relevance of the data to better understand the political context that had been heavily impacted by the Brexit referendum and proces of separation from the European Union.</p> <p>The survey was theoretically informed and included among others:</p> <ul> <li>Populism, Elitism and Pluralism items by Akkerman et al. (2014) (14 items)</li> <li>New items design for a new Multidimensional Scale of Populist Attitudes (37 items) (Olivas Osuna 2021; Olivas Osuna et al. 2024; Olivas Osuna et al. forthcoming)</li> <li>Conspiracy Beliefs items (8 items) (Bruder et al. 2013; Brotherton et al. 2013)</li> <li>Social alienation index (6 items) (Bélanger et al. 2019)</li> <li>Justification of violence index (6 items) (Bélanger et al. 2019)</li> <li>Radicalised network (3 items)(Moyano 2011)</li> <li>Meaning in life (presence and search)(4 items)(Steger et al. 2006)</li> <li>Bordering attitudes (6 items)(Olivas Osuna et al. forthcoming)</li> <li>Endorsement for political parties</li> <li>Items reflecting level of agreement with the main slogans and arguments used by British Eurosceptics (11 items)</li> <li>Items on satisfaction with democracy and importance of democracy and with illiberal views (ESS)</li> <li>Left-right ideological self-placement</li> <li>Socio-demographic variables (age, religion, education, etc.)</li> </ul> <p>Fieldwork was conducted between 17 November and 4 December 2020. Participants were recruited following socio-demographic representativity criteria via the online platform Prolific. Survey were collected via Google Forms (Survey title: <em>Political and social views in the UK</em>).</p> <p>Files uploaded include:</p> <ul> <li>Total responses received (N=849) (.xlsx file) </li> <li>Responses analysed once participants failing attention checks were eliminated from the sample (N=748) (.csv file)</li> <li>Survery questionnair (.pdf file)</li> </ul>
Dataset for the manuscript Marmet, Wicki, Gmel, Gachoud, Daeppen, Bertholet, Studer (2021). The psychological impact of the COVID-19 crisis is higher among young Swiss men with a lower socioeconomic status: evidence from a cohort study. Plos One. DOI:10.1371/journal.pone.0255050
<p>Dataset for the manuscript Marmet, Wicki, Gmel, Gachoud, Daeppen, Bertholet, Studer (2021). The psychological impact of the COVID-19 crisis is higher among young Swiss men with a lower socioeconomic status: evidence from a cohort study. Plos One DOI:10.1371/journal.pone.0255050</p> <p>The dataset contains all data needed to reproduce the results in the above cited manuscript. Variable description and labels can be found in the codebook. For further information on the instruments used please refer to the manuscript.</p> <p> </p>
Psychological Sense of Community: Inhaltsvalidität von Testverfahren in Abhängigkeit von Bezugsgemeinschaften
<p>The data set supplements the doctoral dissertation:</p> <p>Krumbholz, F. (2025). <em>Psychological Sense of Community: Inhaltsvalidität von Testverfahren in Abhängigkeit von Bezugsgemeinschaften</em> [Psychological Sense of Community: Content validity of tests in dependence of reference communities]. Wiesbaden: Springer. https://doi.org/10.1007/978-3-658-47919-0</p>
Data from the "The Psychology of Professional and Student Actors: Creativity, Personality, and Motivation"
<p>Data associated with:</p> <p>Dumas, D., Doherty, M., Organisciak, P. (2020) "The Psychology of Professional and Student Actors: Creativity, Personality, and Motivation". PLOS ONE.</p> <p>Description of work associated with this data:</p> <blockquote> <p>As a profession, acting is marked by a high-level of economic and social riskiness concomitantly with the possibility for artistic satisfaction and/or public admiration. Current understanding of the psychological attributes that distinguish professional actors is incomplete. Here, we compare samples of professional actors (n = 104), undergraduate student actors (n = 100), and non-acting adults (n = 92) on 26 psychological dimensions and use machine-learning methods to classify participants based on these attributes. Nearly all of the attributes measured here displayed significant univariate mean differences across the three groups, with the strongest effect sizes being on Creative Activities, Openness, and Extraversion. A cross-validated Least Absolute Shrinkage and Selection Operator (LASSO) classification model was capable of identifying actors (either professional or student) from non-actors with a 92% accuracy and was able to sort professional from student actors with a 96% accuracy when age was included in the model, and a 68% accuracy with only psychological attributes included. In these LASSO models, actors in general were distinguished by high levels of Openness, Assertiveness, and Elaboration, but professional actors were specifically marked by high levels of Originality, Volatility, and Literary Activities.</p> </blockquote>
Psychological Pertubation
<p>This dataset contains data from 30 participants who completed the same questionnaire on meat consumption 12 times. The participant’s opinion was perturbed on each of the 11 items and measured to what extent this changed the participant’s scores on the questionnaire. It is a unique dataset that can be used for several purposes (Hoekstra et al., 2018).</p> <p> </p> <p><strong>Task: </strong>The dataset can be used to study causal discovery algorithms as Waldorp et al. (2021).</p> <p> </p> <p><strong>Summary: </strong></p> <ul> <li><strong>Size of dataset</strong>: 360 x 11</li> <li><strong>Task:</strong> Causal Discovery Problem</li> <li><strong>Data Type:</strong> Discrete Data</li> <li><strong>Dataset Scope:</strong> Standalone Dataset</li> <li><strong>Ground Truth:</strong> Unknown Graph</li> <li><strong>Temporal Structure:</strong> Static Data</li> <li><strong>License:</strong> CC BY 4.0 (see https://openpsychologydata.metajnl.com/articles/10.5334/jopd.37#dataset-description)</li> <li><strong>Missing Values:</strong> No Missing Values</li> </ul> <p> </p> <p><strong>Missingness Statement: </strong>There are no missing values.<strong><br></strong></p> <p> </p> <p><strong>Features: </strong>Each measurement is a a six-level factor with levels 1 (completely disagree) to 6 (completely agree)<strong><br></strong></p> <ul> <li><strong>moral</strong>: Eating meat is morally wrong</li> <li><strong>nutr</strong>: Meat contains important nutrients for your body</li> <li><strong>envir</strong>: The production of meat if harmful for the environment</li> <li><strong>infer</strong>: Animals are inferior to people</li> <li><strong>suff</strong>: By consuming meat you contribute to animal suffering</li> <li><strong>tax</strong>: There should be a tax on meat</li> <li><strong>taste</strong>: I like the taste of meat</li> <li><strong>death</strong>: Meat reminds me of death and suffering of animals</li> <li><strong>sad</strong>: If I had to stop eating meat I would feel sad</li> <li><strong>guilty</strong>: If I eat meat I feel guilty</li> <li><strong>disg</strong>: If I eat meat I feel disgust</li> </ul> <p> </p> <p>Files: </p> <ul> <li><strong>Data.csv</strong>: dateset</li> <li><strong>Waldorp2021_estimated_CD.csv:</strong> Estimated causal directions by Waldorp et al. (2021) via a conditional invariant prediction method.</li> </ul>
The Brief Symptom Inventory in the Swiss general population: Presentation of norm scores and predictors of psychological distress: Data supporting the publication
This is the dataset on which the following publication is based: • Michel G, Baenziger J, Brodbeck J, Mader L, Kuehni CE, Roser K (2024). The Brief Symptom Inventory in the Swiss general population: Presentation of norm scores and predictors of psychological distress. PLOS One. 19(7), e0305192. Doi: 10.1371/journal.pone.0305192, https://doi.org/10.1371/journal.pone.0305192 A description of the sample and the data collection procedure is available in the publication. The dataset contains the following variables: • Socio-demographic characteristics of the sample - Weights according to representative general population sample - Sex from Swiss Federal Statistical Office (SFSO) - Age at study (rounded to integer) - Age categories (10-year age groups) - Language questionnaire (German/Rumantsch, French, Italian) - Nationality from SFSO - Migration background - Education - Employment status • Original and prepared data on the Brief Symptom Inventory A detailed data dictionary is available in a separate excel file. Version • 1.0 (15 August 2024)
The Psychological Burden of the COVID-19 Pandemic and Its Associated Factors among the Frontline Doctors of Bangladesh: A Cross-sectional Study-Extended Data
<p>Using this document, we tried to assess the mental health status of the frontline doctors of Bangladesh during Coronavirus 2019 pandemic.</p>
An SEM Approach to Validating the Psychological Model of Musical Groove (Data Set)
<p>Data set for the study "An SEM Approach to Validating the Psychological Model of Musical Groove"</p>
Dataset from: "Assessment of depression, anxiety, and psychological symptoms in parents of pediatric palliative care patients: A single-center case-control study"
<p>The dataset comprises raw data from a case-control study that compared levels of depression, anxiety, and general psychological symptoms between parents of pediatric palliative care (PPC) patients and parents of healthy controls.</p> <p>Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), and Symptom Checklist-90 Revised (SCL-90-R) were employed to provide a comprehensive and nuanced understanding of the mental health challenges faced by parents.</p> <p>The designation "case" in the first column (A) represents the parents of PPC patients, while the designation "control" represents the control group. The columns labeled B to S present demographic characteristics data, while columns T to AR present inventory scores. Columns BB to GC, in turn, present the responses to the inventory items.</p> <p> </p> <p> </p>
Brain Journal-The Status of Positive Psychology Strengths within the Romanian School in the Digital Society -Figure 1. Pie chart vitalitysuccess
<p>The Pie charts above illustrate the distribution of responses for the "Vitality" strength. It can<br> be noticed how the lower values are much more frequent than the high ones, in terms of promoting<br> this strength in school. Thus, the participants at this study consider that school does not attach<br> enough importance to this strength, even though it has proven to be so mandatory in assuring the<br> students' well-being and personal success.</p>
Standardized psychological experiments of the ECHOES project
<p>Standardized psychological experiments of the ECHOES project were conducted in six European countries: Bulgaria, Finland, Germany, Italy, Norway and Turkey. </p> <p>The dataset contains raw data in four different formats: dta, rdata, sav and xlsx. Survey questionnaires and data preparation syntax are included.</p>
Psychological experiment in Spain of the ECHOES project (psychological determinants of investment in renewable energy)
<p>Psychological experiment in Spain of the ECHOES project (psychological determinants of investment in renewable energy). </p> <p>Data file is available in four formats: dta, rdata, sav and xlsx. </p> <p> </p>
Psychological Well-being, Food Insecurity, Academic Performance, and Other Risk Factors in a Sample of College Students in Jordan during Covid-19
<p>This research investigated the occurrence of psychological well-being perception and its relationship with food insecurity, academic performance, and other correlates in a sample of university students in Amman, Jordan during Covid-19. A cross-sectional study was conducted in two phases. Phase-1 translated and validated an Arabic version of the Psychological General Wellbeing Index-Short version (PGWB-S) in 122 students from the University of Jordan. In Phase-2, 414 students completed demographic questionnaire, Arabic Versions of the PGWB-S, Ryff Psychological Wellbeing Scale, and Individual Food Insecurity Experience Scale.</p> <p>Ethical considerations: This manuscript has been read and approved by all authors. The authors confirm that there are no other persons, who satisfied the criteria for authorship, but are not listed. The order of authors listed in the manuscript has been approved by all of them. They also understand that the Corresponding Author is the sole contact for the Editorial process, and holds the responsibility for communicating with the other author about progress, submissions of revisions and final approval of proofs. Moreover, the authors declare that this manuscript is original, has not been published before, and is not currently being considered for publication elsewhere. Furthermore, all data used in the study is confidential and the lead author has full access to the data reported in the manuscript. We confirm that there are no known conflicts of interest associated with this publication, which did not receive any financial support. Finally, the reporting of this work is compliant with The Code of Ethics of the World Medical Association (Declaration of Helsinki). In addition to that, the protocol of this research is approved by the Institutional Review Board at the University of Jordan, Amman, Jordan (ref no.: 2021-89).</p>
The impact of pharmaceutical form and simulated side effects in an open-label-placebo RCT for improving psychological distress in highly stressed students (Open Data and Open Materials)
<p> Open-label placebo (OLP) may be utilized to reduce psychological distress. Yet, potential contextual effects have not been explored. We investigated the impact of pharmaceutical form and the simulation of side effects in a parallel group RCT (DRKS00030987). A sample of 177 highly stressed university students at risk of depression were randomly assigned by computer generated tables to a one-week intervention with active or passive OLP nasal spray or passive OLP capsule or a no-treatment control group. After the intervention, groups differed significantly in depressive symptoms but not regarding other outcomes of psychological distress (stress, anxiety, sleep quality, somatization), well-being or treatment expectation. OLP groups benefitted significantly more compared to the no-treatment control group (<em>d</em>=.40), OLP nasal spray groups significantly more than the OLP capsule group (<em>d</em>=.40) and the active OLP group significantly more than the passive OLP groups (<em>d</em>=.42). Interestingly, before intervention, most participants, regardless of group assignment, believed that the OLP capsule would be most beneficial. The effectiveness of OLP treatments seems to be highly influenced by the symptom focus conveyed by the OLP rationale. Moreover, pharmaceutical form and simulation of side effects may modulate efficacy, while explicit treatment expectation seems to play a minor role.</p>
Exploring Psychological Safety in Software Engineering
<p>The database used in the article entitled "Exploring Psychological Safety in Software Engineering: Insights from Stack Exchange" consists of two files: "All Results" and "Database Sbes." The "All Results" file includes all search results, while the "Database Sbes" file contains the categorization of selected data.</p>
Positive Psychology Intervention In HSCT
ClinicalTrials.gov study NCT05147311. IPD Sharing: YES. Countries: 1. Publications: 1.
Stable psychological traits predict perceived stress related to the COVID-19 outbreak
<p>This repository contains the raw dataset associated to the scientific article "Stable psychological traits predict psychological perceived stress to COVID-19 outbreak”, by L. Flesia, V. Fietta, B. Segatto, M. Monaro. Data are contained in the excel file and organized as follows:</p> <p>- the entire dataset used by the authors to perform statistical analysis</p> <p>- the training set used by the authors to train and validate ML models</p> <p>- the test set used by the authors to test the ML models</p> <p>The "Legend" file contains the description of each variable in the excel file.</p> <p>The step by step instructions to replicate the results of ML classification models, which are reported in the paper, including two .arff files containing the training and test set od data that can be directly run in WEKA software 3.9.</p> <p>The "COVID-19 QUESTIONNAIRE" file contains the English version of the questions administered to participants.</p>
Data Management and Sharing: Practices and Perceptions of Psychology Researchers
<p class="CxSpFirst">Research data is increasingly viewed as an important scholarly output. While a growing body of studies have investigated researcher practices and perceptions related to data sharing, information about data-related practices throughout the research process (including data collection and analysis) remains largely anecdotal. Building on our previous study of data practices in neuroimaging research, we conducted a survey of data management practices in the field of psychology. Our survey included questions about the type(s) of data collected, the tools used for data analysis, practices related to data organization, maintaining documentation, backup procedures, and long-term archiving of research materials. Our results demonstrate the complexity of managing and sharing data in psychology. Data is collected in multifarious forms from human participants, analyzed using a range of software tools, and archived in formats that may become obsolete. As individuals, our participants demonstrated relatively good data management practices, however they also indicated that there was little standardization within their research group. Participants generally indicated that they were willing to change their current practices in light of new technologies, opportunities, or requirements. </p>
Data for: Psychological distress, anxiety, suicidality, and wellbeing in New Zealand during the COVID-19 lockdown: a cross-sectional study
<p>Dataset for following paper.</p> <p>Introduction</p> <p>New Zealand's early response to the novel coronavirus pandemic included a strict lockdown which eliminated community transmission of COVID-19. However, this success was not without cost, both economic and social. In our study, we examined the psychological wellbeing of New Zealanders during the COVID-19 lockdown when restrictions reduced social contact, limited recreation opportunities, and resulted in job losses and financial insecurity.</p> <p>Methods</p> <p>We conducted an online panel survey of a demographically representative sample of 2010 adult New Zealanders. The survey contained three standardised measures – the Kessler Psychological Distress Scale (K10), the GAD-7, and the Well-Being Index (WHO-5) – as well as questions designed specifically to measure family violence, suicidal ideation, and alcohol consumption. It also included items assessing positive aspects of the lockdown.</p> <p>Results</p> <p>Thirty percent of respondents reported moderate to severe psychological distress (K10), 16% moderate to high levels of anxiety, and 39% low wellbeing; well above baseline measures. Poorer outcomes were seen among young people and those who had lost jobs or had less work, those with poor health status, and who had past diagnoses of mental illness. Suicidal ideation was reported by 6%, with 2% reporting making plans for suicide and 2% reporting suicide attempts. Suicidality was highest in those aged 18–34. Just under 10% of participants had directly experienced some form of family harm over the lockdown period. However, not all consequences of the lockdown were negative, with 64% reporting 'silver linings', which included enjoying working from home, spending more time with family, and a quieter, less polluted environment.</p> <p>Conclusions</p> <p>New Zealand's lockdown successfully eliminated COVID-19 from the community, but our results show this achievement brought a significant psychological toll. Although much of the debate about lockdown measures has focused on their economic effects, our findings emphasise the need to pay equal attention to their effects on psychological wellbeing.</p>
Simulation data used in "An attempt to distinguish physical and socio-psychological influences on pedestrian bottleneck"
<p>The dataset contains all simulated trajectory data used in the main text analysis of "Self-organisation phenomena in pedestrian bottleneck flow under varying corridor width". The data was simulated using JuPedSim. The source code used can be downloaded from: https://github.com/JonasRzez/jpsnewnoise.git</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.