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.
90
datasets available to search
ShareScore release 0.9.0
Dataset results
90 results for “Cross-Cultural”
Cross-Cultural Dataset
<p>For researchers and professionals, it is very important to analyze the cross-cultural differences in different disciplines. As the international impact is increasing and international events are becoming popular, the need to develop some automatic methods is significantly increasing. We choose the top 10 daily read newspapers in the world in 2020 and collect the events reported by these newspapers using Event Registry over the time period of 2016-2020. Event Registry. approximately 8000 events belong to each newspaper except Zaman (only 900 events). </p>
Standard Cross-Cultural Sample of Religion
<p>The Standard Cross-Cultural Sample of Religion is a product of the <a href="https://religiondatabase.org/" rel="nofollow">Database of Religious History (DRH)</a>. The DRH is a qualitative-quantitative encyclopedic database of historical religious data across time and space. Data are contributed to the project by academic <a href="https://religiondatabase.org/landing/about/people/experts" rel="nofollow">experts</a> and overseen by a panel of <a href="https://religiondatabase.org/landing/about/people/editors" rel="nofollow">editors</a>. The data take the form of answers (provided by experts) to a long list of standard questions grounded in time and space.</p> <p>The Standard Cross-Cultural Sample of Religion is “standard” in a different way than its namesake, The Standard Cross-Cultural Sample (SCCS). The SCCS was designed to control for region and cultural relatedness. Because of our mostly bottom-up, expert-driven data gathering method, DRH data is heavily overweighted in certain time/space regions. Analysts will have to control for this as they see fit.</p> <p>On the other hand, DRH data is “standard” in the sense that whatever Group, Place of Text is being portrayed, experts are answering a standardized set of questions, allowing a degree of comparison and quantitative analysis that has simply never been possible before. As the DRH grows, top-down data-gathering pushes will be targeted at underrepresented regions of the world, with the goal of making future versions of the SCCSR more and more comprehensive.</p> <p>The Standard Cross-Cultural Sample of Religion (SCCSR.v2) is provided under CC-BY-4.0 license.</p>
D-PLACE dataset derived from Bertolo et al. 2023 'Cross-cultural music corpus: The Expanded Natural History of Song Discography'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Mila Bertolo, Martynas Snarskis, Manvir Singh, & Samuel Mehr. (2023, August 8). Cross-cultural music corpus: The Expanded Natural History of Song Discography. Zenodo. https://doi.org/10.5281/zenodo.8378337</p> </blockquote>
Hope Pedagogies in Times of Crises: a Cross-Cultural Study
<p>This dataset contains photographs, survey responses and students self-narratives by 235 students aged 10-15 in three schools located in Argentina, Italy and Uruguay. Additionally, 13 interviews with members of the educational team were conducted. In short, this dataset contains:</p> <ul> <li>98 photographs were taken upon the completion of 3 workshops focused on sustainability. Students were requested to take one photo that represented "What is sustainability for me?".</li> <li>107 student raw survey responses for 53 questions.</li> <li>218 Students' self-narratives that responded to the question "What will my life and community look like in 20 years time?" </li> </ul> <p>NB: Due to storage limitations, photographs and students' self-narratives have been compressed. I can share better quality files upon request.</p>
Albanian SCL-90R data for cross-cultural SCL report
<p>Zip archive contains complete source data concerning the referred core part of the Albanian study in Tirana: <br> - selected socio-demographical variables, <br> - SCL-90-R global scales, subscales and items.</p> <p>Data is in SPSS SAV format (root format), CSV, XLSX and ODS.</p>
D-PLACE dataset derived from Murdock and White 1969 'Standard Cross-Cultural Sample'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Murdock GP & White DR. 1969. Standard Cross-Cultural Sample. Ethnology. 9:329–369.</p> </blockquote>
Technology use characteristics among older adults during the COVID-19 pandemic: A cross-cultural survey - DATASET
<p>Data to support the findings included in the Journal paper</p> <p>Elimelech, O. C., Ferrante, S., Josman, N., Meyer, S., Lunardini, F., Gómez-Raja, J., ... & Rosenblum, S. (2022). Technology use characteristics among older adults during the COVID-19 pandemic: A cross-cultural survey. <em>Technology in Society</em>, <em>71</em>, 102080.</p> <p>These data were collected in the context of the ESSENCE project, and are aimed at understanding technology use characteristics among older adults during the COVID-19 pandemic. Indeed, the ESSENCE project aims at transforming the lessons learnt from the COVID-19<strong> </strong>in a huge opportunity that exploits technology toward a deep evolution of the services targeting vulnerable populations: non- or pre-frail seniors (targets of this study), and children of the first years of primary school. To contribute to the public health response in the context of the ongoing epidemic, and preparedness for future emergencies, ESSENCE aims at boosting the creation of a new model of home-based care that relies on stimulation, remote monitoring, tele-assistance, and connection between users, families, and professionals. Indeed, it was important to understand technology usage in the target population.</p> <p>Data were collected from Israel, Spain and France, in a multi-country design.</p> <p> </p> <p>The .PDF file contains the questionnaire. For more details, refer to the journal paper linked to this dataset.</p> <p>The .SAV file is an SPSS file that contains the answers to the questionnaire and their encoding.</p>
Cross-cultural music corpus: The Natural History of Song Discography (randomized 14s excerpts)
<p>This repository contains 14-second excerpts of the <em>Natural History of Song</em> Discography. The audio corpus was originally published in Mehr et al. (2019, Science) and the full audio files are available via DUA on the Harvard Dataverse (<a href="https://doi.org/10.7910/DVN/SESAO1">https://doi.org/10.7910/DVN/SESAO1</a>). This repository makes available the excerpts of each track, under Fair Use, given their brief length (14 seconds each). These were also used in other papers (e.g., Mehr & Singh et al., 2018, Current Biology; Bainbridge & Bertolo et al., 2021, Nature Human Behaviour; Hilton & Crowley-de Thierry et al., 2022, JEP:General; Yurdum et al., 2023, PNAS) and are concurrently posted on the Open Science Framework (<a href="https://osf.io/vcybz/">https://osf.io/vcybz/</a>). They are permanently archived here for easier accessibility.</p> <p>Other Natural History of Song data, including staff-notation transcriptions of all the songs, are available at <a href="https://osf.io/jmv3q/">https://osf.io/jmv3q/</a>. There is also an expanded version of the corpus, with 1007 songs (including all 118 of the original NHS songs, available on Zenodo at <a href="https://doi.org/10.5281/zenodo.8237500">https://doi.org/10.5281/zenodo.8237500</a>.</p> <p>The audio excerpts are provided in MP3 format for use in perception experiments. There are 118 excerpts. Each row of <strong>NHSDiscography-metadata.csv </strong>corresponds to one song, and provides general information about each song, including original sources. <strong>NHSDiscography-codebook.pdf</strong> summarizes the types of metadata available. Both these documents were originally published in Mehr et al. (2019, Science), along with the original corpus, and quite a bit of other information concerning how the corpus was built (<a href="https://www.science.org/doi/10.1126/science.aax0868">https://www.science.org/doi/10.1126/science.aax0868</a>). </p> <p>Please contact Samuel Mehr (<a href="mailto:sam@yale.edu">sam@yale.edu</a>) if you have questions concerning the use of these audio files.</p>
Validation and Cross-cultural Adaptation of Croatian SECEL Questionnaire
ClinicalTrials.gov study NCT05346237. IPD Sharing: NO. Countries: 1. Publications: 7.
Cross-cultural Adaptation of the Toxic Masculinity Scale Among Indonesian Nursing Students: A Psychometric Testing
ClinicalTrials.gov study NCT07192406. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Data from: A cross-cultural investigation of young children’s spontaneous invention of tool use behaviors
Open the record for dataset details and reuse information.
Data from: Cross-cultural similarity in relationship-specific social touching
Many species use touching for reinforcing social structures, and particularly non-human primates use social grooming for managing their social networks. However, it is still unclear how social touch contributes to maintenance and reinforcement of human social networks. Human studies in Western cultures suggest that the body locations where touch is allowed are associated with the strength of the emotional bond between the person touched and the toucher. However, it is unknown to what extent this relationship is culturally universal and generalizes to non-Western cultures. Here, we compared relationship-specific, bodily touch allowance maps across one Western (N = 386, United Kingdom) and one East Asian (N = 255, Japan) country. In both cultures, strength of emotional bond was linearly associated with permissible touch area. However, Western participants experienced social touching as more pleasurable than Asian participants. These results indicate a similarity of emotional bonding via social touch between East Asian and Western cultures.
Cross-cultural music corpus: The Expanded Natural History of Song Discography
<p>This repository hosts the <strong>Expanded Natural History of Song Discography</strong>. It contains 1007 audio recordings of vocal music gathered from many human societies, each annotated with a world region, language, and behavioural context. </p> <p>Each song file contains a 10-second excerpt of the source audio, selected at random from only portions of the recording that contain an audible singer. Given the short form of each excerpt, and the intended use of these files only for research purposes, they have been made available under Fair Use.</p> <p><strong>NHS2-songs.zip </strong>contains the audio files, volume-matched and with 1s fade in/out added, in MP3 format. These can be analysed as-is or used in experiments.</p> <p><strong>NHS2-metadata.csv </strong>contains annotations, where each row corresponds to a song. The four columns include <strong>song</strong>, which includes a unique identifier for each song in the format `NHS2-XXXX.mp3`; <strong>region</strong>, which indicates an approximate geographical location where the song was recorded, using Human Relations Area Files categories (see <a href="https://ehrafworldcultures.yale.edu">https://ehrafworldcultures.yale.edu</a>); <strong>glottocode</strong>, which indicates the language in which the song is produced (see <a href="https://glottolog.org">https://glottolog.org</a>); and <strong>type</strong>, which indicates the behavioural context in which the song was produced, from a set of 10 categories (dance, healing, love, lullaby, play, procession, mourning, work, story, and praise).</p> <p>For assistance with the corpus, contact Martynas Snarskis (<a href="mailto:martysnarskis@gmail.com">martysnarskis@gmail.com</a>), Mila Bertolo (<a href="mailto:mila.bertolo@mail.mcgill.ca">mila.bertolo@mail.mcgill.ca</a>), and Samuel Mehr (<a href="mailto:mehr@hey.com">mehr@hey.com</a>).</p> <p>Further information about the construction of this corpus will be made available in a forthcoming paper; we will update this Zenodo archive when the paper is publicly available.</p>
Translation, cross-cultural adaptation, and evaluation of psychometric properties of cystic fibrosis stigma scale
<pre>Search database</pre>
Cross-cultural adaptation and preliminary validation of the Young Children Participation and Environment Measure (YC-PEM) to use in Spain
<p>This research was funded by the Spanish Ministry of Science and Innovation, the State Research Agency, 10.13039/501100011033, and ERDF “A way of making Europe” (Grant: PID2021-126782OA-100) received by Verónica Robles García, the Official College of Physiotherapists of Galicia and Irene González-Eiroa received a grant from the ED481A 2022/056, Spain. </p>
Turkish Language and Cross-cultural Adaptation of the Cumberland Ankle Instability Tool
ClinicalTrials.gov study NCT05977660. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Cross-Cultural Adaptation, Validity and Reliability of the Turkish Version of the Adolfsson-Björnsson Upper Extremity Activity Scale (ABAS)
ClinicalTrials.gov study NCT06715397. IPD Sharing: NO. Countries: 1. Publications: 3.
Cross-cultural Adaptation and Translation Validation of the iADH Universal Case Mix Tool (UCMT).
ClinicalTrials.gov study NCT07290725. IPD Sharing: NO. Countries: 1. Publications: 1.
Validation and Cross-Cultural Adaptation of the Romanian Version of Oral Health Impact Profile in Edentulous Adults
ClinicalTrials.gov study NCT01392456. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Turkish Version of the Neurogenic Bladder Symptom Score Questionnaire: a Cross-cultural Adaptation, Reliability and Validity Study
ClinicalTrials.gov study NCT03964077. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
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.