## 1 Summary
Figure 1: Solar irradiance map of the State of Georgia [22]. As a result of the size of the Georgian economy (ninth in the country by gross domestic product) and its existing energy system characteristics, Georgia is posited to be one of the states with the highest potential for solar deployment [23]. Recent trends in solar adoption seem to reflect these analyses. Between 2017 and 2018, total net generation from solar photovoltaic rose from 22 nd in the nation [24] to ninth [21], moving Georgia from laggard to leader in solar power production [25]. Policy changes, including the Solar Power Free-Market Financing Act of 2015, have opened possibilities for integrating solar from third-party producers despite the lack of net met metering policies or a renewable portfolio standard. Despite this seemingly positive uptake in energy generation through solar-powered technologies, a closer look locally indicates that the primary driving force is the integration of several utility and commercial-scale solar facilities. In 2018, Georgia ranked 37 th in power generated from residential PV solar, making it the lowest ranked state amongst the top ten in total PV solar energy production. Despite recent increases in the annual generation of electricity from solar installations in the State of Georgia--primarily a result of new utility-scale installations [21]--there is still a significant amount of potential for solar technology adoption for Georgia (see Table 1[26]). One might wonder how a state positioned for high technical potential could have such low levels of adoption. Respecting the complex interactions that exist within the local-national gap requires an eye towards understanding the multi-modal flows of information that are attuned to local policy-making conditions. The Social Energy Atlas, a program funded by the United States Department of Energy Solar Energy Technology Office, leverages large-scale qualitative and quantitative data analysis for examining why residents of the State of Georgia do or do not adopt rooftop photovoltaic solar [27]. The primary objective of this work is to develop more effective policy and programming to bridge the local-national gap in Georgia, through large-scale analysis of the stories people array when making such decisions about energy. To address the limitation of existing adoption trend datasets at the scale of local governance (e.g., county governments), this data descriptor for SolarView, a web application designed by the Social Energy Atlas (see Figure 2), depicts how the aggregation of seven independent databases was conducted, so as to afford the Social Energy Atlas the ability to contextualize solar technology adoption at a local level of scale through the analysis of quantitative data for the State of Georgia, U.S., and demonstrate the complexity systems that are currently giving rise to significant disparity in adoption practices in this state using Gini coefficient calculations [20]. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Use Sector** & **Number of Installations** & **Capacity** & **Annual Generation** \\ \hline Residential & 1046 & 5822.99 kW & 8,128,855.02 kWh \\ Non-Residential & 599 & 52,755.53 kW & 74,278,797.37 kWh \\ Utility & 235 & 1,250,862.51 kW & 1,873,396,033.13 kWh \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Georgia energy data solar electric installations’ summary. The rest of the paper seeks to describe the dataset that was produced during the first phase of the Social Energy Atlas' research activities, as well as how it was brought together. In Section 2, a detailed description of the data comprising SolarView is provided. Section 3 provides the methods that were employed for curating and reusing the data. Finally, this data descriptor ends with Section 4, detailing notes for users of this database going forward.