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.
3
datasets available to search
ShareScore release 0.9.0
Dataset results
3 results for “Cultural Access and Participation”
Harmonized Cultural Access & Participation Dataset for Music
<p>Changes since the last version: in the .csv export there was a naming problem.</p> <p>- `visit_concert`: This is a standard CAP variables about visiting frequencies, in numeric form. <br> - `fct_visit_concert`: This is a standard CAP variables about visiting frequencies, in categorical form. <br> - `is_visit_concert`: binary variable, 0 if the person had not visited concerts in the previous 12 months.<br> - `artistic_activity_played_music`: A variable of the frequency of playing music as an amateur or professional practice, in some surveys we have only a binary variable (played in the last 12 months or not) in other we have frequencies. We will convert this into a binary variable. <br> - `fct_artistic_activity_played_music`: The `artistic_activity_played_music` in categorical representation.<br> - `artistic_activity_sung`: A variable of the frequency of singing as an amateur or professional practice, like played_muisc. Because of the liturgical use of singing, and the differences of religious practices among countries and gender, this is a significantly different variable from played_music.<br> - `fct_artistic_activity_sung`: The `artistic_activity_sung` variable in categorical representation.<br> - `age_exact`: The respondent’s age as an integer number. <br> - `country_code`: an ISO country code<br> - `geo`: an ISO code that separates Germany to the former East and West Germany, and the United Kingdom to Great Britain and Northern Ireland, and Cyprus to Cyprus and the Turiksh Cypriot community.[we may leave Turkish Cyprus out for practical reasons.]<br> - `age_education`: This is a harmonized education proxy. Because we work with the data of more than 30 countries, education levels are difficult to harmonize, and we use the Eurobarometer standard proxy, age of leaving education. It is a specially coded variable, and we will re-code them into two variables, `age_education` and `is_student`. <br> - `is_student`: is a dummy variable for the special coding in age_education for “still studying”, i.e. the person does not have yet a school leaving age. It would be tempting to impute `age` in this case to `age_education`, but we will show why this is not a good strategy.<br> - `w`, `w1`: Post-stratification weights for the 15+ years old population of each country. Use `w1` for averages of `geo` entities treating Northern Ireland, Great Britain, the United Kingdom, the former GDR, the former West Germany, and Germany as geographical areas. Use `w` when treating the United Kingdom and Germany as one territory.<br> - `wex`: Projected weight variable. For weighted average values, use `w`, `w1`, for projections on the population size, i.e., use with sums, use `wex`.<br> - `id`: The identifier of the original survey.<br> - `rowid``: A new unique identifier that is unique in all harmonized surveys, i.e., remains unique in the harmonized dataset.</p>
Harmonized Cultural Access & Participation Dataset
<p> "id": survey identifer<br> "rowid": unique observation identifier: <br> "fct_visit_concert": visiting frequency to concert, catogorical representation,<br> "fct_visit_library": visiting frequency to concert, catogorical representation,<br> "fct_visit_museum" : visiting frequency to museums or galleries, catogorical representation,<br> "visit_concert": visiting frequency to concert, numerical representation,<br> "visit_library": visiting frequency to concert, numerical representation,<br> "visit_museum": visiting frequency to concert, numerical representation,<br> age_education": school leaving age<br> "age_exact": age <br> "is_student" : respondent still studying (1=yes, 0=no)<br> "geo": geographic concept <br> "w1": post-stratification weight for geo<br> "w_uk": post-stratification weight for Northern Ireland and Great Britain<br> "w_de": <br> "wex": projected post stratification weight <br> "country_code": country code, unifying Germany and the United Kingdom (originally separate samples)<br> "w": post_stratification weight for country_code<br> "year_survey": year of the survey<br> "is_visit_concert": binary variable, 0 if the person did not visit concerts, public libraries, musea...<br> "is_visit_library": : binary variable, 0 if the person did not visit public libraries<br> "is_visit_museum":: binary variable, 0 if the person did not visit museums or galleries</p>
Regionalized Cultural Access and Participation (Books And Libraries) And Science Attitudes Variables (2013)
<p>This dataset was created from the microdata of the Eurobarometer 79.2 survey using the development version of the eurobarometer package.</p> <p>The read a book variable is a weighted sum of the responses that chose from `QB1 How many times in the last twelve months have you read a book?` any answer apart from "not in the last 12 months."</p> <p>The library access variable is a weighted sum of the responses that chose from `QB1 How many times in the last twelve months have you visited a public libarary?` any answer apart from "not in the last 12 months.</p> <p>The limited library access is a weighted sum of the responses that chose from the question block<br> `QB2 And for each of the following activities, please tell me why you haven’t done it or haven’t done it more often in the last 12 months? ... Visited a public library` the answer option `Limited or poor quality of this activity in the place where you live.` In this case, the number of respondents is rather low and this is not a very reliable statistic on regional level.</p> <p>The supports open access variable is a weighted sum of yes answer options to the `QD 17 Do you think that the results of publicly funded research should be made available online free of charge?` question.</p> <p>The internet access question is a weighted sum of responses to the answer option for `D46 Which of the following do you have? - An Internet connection at home`.</p> <p>The internet access question is a weighted sum of responses to the answer option for `D15 What is your current occupation? - student`. </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.