These data include 39 structured interview transcripts. Each case is someone who worked at the time for Uber, UberEats, Lyft, and/or Amazon Flex (Amazon’s contractor delivery service). These data were collected between July and September 2019. All but one of the interviews occurred over the phone. My questions are focused on the structure of their gig work jobs and the technology they used at work or expected to use at work in the future. I included a description of the data, the recruitment methods, and the discussion guide in this ReadMe file.
Here we publish the data used in paper "Junming Huang, Gavin Cook, and Yu Xie, Large-scale Quantitative Evidence of Media Impact on Public Opinion toward China". This dataset include estimated sentiments on The New York Times on China in eight topics from 1970 to 2019, and a time series of public attitude aggregated from surveys on China.
These files collect and collate archival budget data for NASA’s various space science programs from 1959-2019 with a particular emphasis on lunar and planetary exploration. Numbers present top-line expenditures as recognized by NASA Headquarters in their annual Budget Estimates presented each year at the beginning of the Congressional appropriations cycle. Data was collected across several publicly available archival sources over the course of 2016-2019 as part of the NSF funded research project, "Pricing the Priceless Spacecraft" (Award #1633314).