Ciao Alberto,
in questi giorni ho curiosato qua e là,
immagino che tu sia interessato non solo ad avere accesso ai dati ma che questi siano in formato open.
Ti elenco comunque gli studi che ho visto (dove nella maggior parte dicono che comunque rispettando alcune condizioni i dati vengono rilasciati se viene fatta una richiesta tramite form), magari c'è qualcosa che ti interessa ma purtroppo non in formato open....
Quattro studi:
Friends and Family,
Social Evolution
Badge Dataset
Reality Mining
http://realitycommons.media.mit.edu/index.html
Social Evolution and the other, Friends and Family, which contain almost 2 million hours of interaction data covering everyone within two communities for a total of over two years.4 (For more details, see the Reality Mining appendix, and for papers, data, and visualizations see http://realitycommons.media.mit.edu.)
http://devecondata.blogspot.it/2007/10/ethnographic-atlas.html
an intensive study in Boston, Chicago, and San Antonio to assess the well-being of low-income children and families in the post-welfare reform era.
http://web.jhu.edu/threecitystudy
Download dataset: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04701
https://www.icea.ox.ac.uk/fundedprojects/ritual00/data/ethnographic-resources/
The Ethnographic Dataset on Ritual contains detailed data on 645 religious rituals from 74 cultures around the globe, extracted from the Human Relations Area Files.
An analysis of the dataset was conducted by Quentin Atkinson and Harvey Whitehouse. The article can be read in Evolution & Human Behavior
Every culture and language is unique. This project expressly focuses on the uniqueness of culture and language in relation to human affect, specifically sentiment and emotion semantics, and how they manifest in social multimedia. We develop sets of sentiment- and emotion-polarized visual concepts by adapting semantic structures called adjective-noun pairs in a multilingual context. We designed a new language-dependent method for automatic discovery of these adjective-noun constructs. Using a social multimedia platform, we used our pipeline to create a large-scale multilingual visual sentiment concept ontology (MVSO). Our unified ontology is organized hierarchically by multilingual clusters of visually detectable nouns and sub-clusters of emotionally biased versions of these nouns. As a part of our effort to better under visual affect, we release here the dataset of >15.6K sentiment-biased visual concepts across 12 languages with language-specific detector banks, >7.36M images and their metadata.
http://mvso.cs.columbia.edu/download.html
Se ne trovo altri te li segnalo.
Buona serata
Mary