id,name,description,createdAt,updatedAt,datasetId,additionalInfo,link,dataPublishedBy
15709,"Algan, Beasley, Guyot and Murtin (2014)","{""additionalInfo"": ""This paper collects web searches related to well-being by using Google Trends, a tool provided freely by Google that enables to study the evolution of the salience of keywords across space and over time. For a given keyword, Google Trends gives the evolution of the number of requests that contained that keyword for each week since 2004, at a detailed geographical level (from a city or a region to the whole world). Here, this tool tracks all the queries related to emotional, physiological and physical pain across and within US states and cities. \t\t\t\t\t\t\t\t\t"", ""dataPublishedBy"": ""Yann Algan, Elizabeth Beasley, Florian Guyot, and Fabrice Murtin (2014) ‘Big Data Measures of Human Well-Being: Evidence from a Google Stress Index on US States’. Sciences Po Working Paper""}",2018-09-27 11:01:12,2018-09-27 11:01:12,3052,"This paper collects web searches related to well-being by using Google Trends, a tool provided freely by Google that enables to study the evolution of the salience of keywords across space and over time. For a given keyword, Google Trends gives the evolution of the number of requests that contained that keyword for each week since 2004, at a detailed geographical level (from a city or a region to the whole world). Here, this tool tracks all the queries related to emotional, physiological and physical pain across and within US states and cities. 									",,"Yann Algan, Elizabeth Beasley, Florian Guyot, and Fabrice Murtin (2014) ‘Big Data Measures of Human Well-Being: Evidence from a Google Stress Index on US States’. Sciences Po Working Paper"