Datasets:
License:
| pretty_name: SoPhAr aviation - data, results and figures | |
| license: other | |
| tags: | |
| - aviation | |
| - solar-energy | |
| - wireless-power-transfer | |
| - decarbonization | |
| - flight-data | |
| # SoPhAr aviation: data, results and figures | |
| Data, model results and figures for *Solar phased-array-based wireless power transfer for commercial | |
| aviation decarbonization* (T. Wang, Y. Xu, J. Byeon, J. Jiao, J. Mohammadi, K. Kockelman, C. Claudel | |
| and A. Bayen; under review at *Nature Sustainability*). The code is at https://github.com/BonnyWang010705/SoPhAr. | |
| ## Using the dataset with the code | |
| Download the dataset into the root of the code repository: | |
| ```bash | |
| python download_data.py # run inside the cloned code repository | |
| ``` | |
| `data/`, `results/` and `figures/` then sit next to `code/`, where every script looks for them. | |
| ## Contents (4.0 GB) | |
| ### `data/` — inputs | |
| | Path | Contents | Source | | |
| |---|---|---| | |
| | `flights/raw/` | 14 monthly archives, December 2024 – January 2026 | BTS TranStats, Marketing Carrier On-Time Performance | | |
| | `flights/processed/by_month/` | one table per month (Parquet) | `code/1_flight_data/2_preprocess.py` | | |
| | `flights/processed/flights_2025.parquet` | 2025 flight table, 7,599,787 records | `3_build_annual.py` | | |
| | `flights/processed/flights_reference_week.parquet` (and `.csv`) | 7–13 April 2025 (Central Time), 149,739 records | `4_reference_week.py` | | |
| | `flights/processed/flights_reference_week_matched.parquet` | flights whose origin and destination are in the airport file: the 148,814 flights analysed | `5_match_airports.py` | | |
| | `airports/airport_data.geojson` | USA Airports | Esri, ArcGIS | | |
| | `solar_farms/uspvdb_v3_0_20250430.geojson` | United States Large-Scale Solar Photovoltaic Database | Lawrence Berkeley National Laboratory, U.S. Geological Survey | | |
| | `US_boundaries/` | state (1:20M) and county (1:500k) cartographic boundaries, 2023 | U.S. Census Bureau | | |
| ### `results/` — model outputs | |
| | Path | Contents | | |
| |---|---| | |
| | `baseline/` | system model at 12,100 m (reference) and at 9,100 and 15,100 m: one row per eligible flight (86,084 at 12,100 m) and one row per qualified solar farm (438); Supplementary Tables 1–7 | | |
| | `baseline/route_maps/` | route maps of the eligible flights by range class (Fig. 3b–d) | | |
| | `optimization_1/` | flight schedule optimization at the three altitudes, with the optimized shift of each flight; Supplementary Tables 8–14 | | |
| | `optimization_2/Optimization_2_Results_R1/` | farm-and-flight choice optimization: selected farms and flights in each of the 100 penetration scenarios (`solar_results_*` and `flight_results_*`) | | |
| | `optimization_2/Optimization_2_summary_R1.csv` | totals of each scenario (Supplementary Table 15) | | |
| | `optimization_2/penetration_state_totals.csv` | state totals of each scenario, for Supplementary Figs. 14–23 | | |
| | `optimization_2/route_maps/` | route maps of the selected flights in each scenario (`flight_map_*`), for Supplementary Figs. 14–23 and Fig. 8a | | |
| | `sensitivity/R1_Sensitivity_Tables.xlsx` | sensitivity analyses of Supplementary Notes 7–10 (Supplementary Figs. 33–37) and the model assumptions | | |
| | `representativeness/` | weekly measures over 2025 (Supplementary Note 1 and Supplementary Fig. 1) | | |
| ### `figures/` — paper figures | |
| | Path | Contents | | |
| |---|---| | |
| | `main/fig02_solar_farm_analysis/` … `main/fig06_market_penetration/` | Figs. 2–6 of the article (PNG and PDF), each with its panels in `panels/` | | |
| | `main/fig07_solar_farm_selection/`, `main/fig08_flight_selection/` | Figs. 7–8 of the arXiv version, redrawn with the R1 results, each with its panels in `panels/` | | |
| | `supplementary/fig01_representativeness/` | Supplementary Fig. 1 | | |
| | `supplementary/fig02_state_rankings/` | Supplementary Fig. 2, with its panels a–f in `panels/` | | |
| | `supplementary/fig03_selection_frequency/` | Supplementary Fig. 3 | | |
| | `supplementary/fig04_23_penetration/` | Supplementary Figs. 4–13 (farm selection: maps and scatter plots) and 14–23 (flight selection: maps and bar charts), two images each | | |
| | `supplementary/fig24_29_case_studies/` | Supplementary Figs. 24–29, solar farm case studies (farms 230 and 4746) | | |
| | `supplementary/fig30_31_flight_case_study/` | Supplementary Figs. 30–31, flight case study | | |
| | `supplementary/fig32_37_sensitivity/` | Supplementary Figs. 32–37 | | |
| Fig. 1 (a schematic) is not included. | |
| ## Sources and licenses | |
| The inputs are redistributed under the terms of their sources: | |
| - BTS On-Time Performance, U.S. Department of Transportation: public domain. | |
| - United States Large-Scale Solar Photovoltaic Database, LBNL and USGS: public domain. | |
| - Cartographic boundary files, U.S. Census Bureau: public domain. | |
| - USA Airports, Esri: subject to Esri's terms of use. | |
| License of the results and figures: to be decided. | |
| ## Citation | |
| To be added on publication. | |