This dataset accompanies the paper "Geothermal district energy systems coupled with seasonal underground thermal energy storage: a U.S. techno-economic screening by climate and geology." It contains the data and scripts required to reproduce the study's results across ten U.S. cities, where ground heat exchangers (GHEs_ and underground thermal energy storage (UTES) were modeled to assess district-scale heating and cooling performance. The dataset includes Python scripts implementing the workflow described in the paper, county-level building load profiles derived from ComStock data, SUTRA inputs and outputs for aquifer and reservoir thermal energy storage simulations, and a comprehensive technical and cost results summary. The workflow integrates standardized load aggregation, GHE sizing with GHEDesigner, subsurface thermal storage modeling using SUTRA, and economic assessment through unified cost modeling. The specific configuration modeled here has the GHE supplying district heating and an equal share of cooling, with the UTES system (either Aquifer- or Reservoir- TES) supplying the remaining cooling load. Intermediate and final outputs are structured so that the workflow can be rerun or modified for different cities, system configurations, or parameter assumptions. The dataset also links to a supporting U.S. Geological Survey data release that documents the SUTRA framework and provides additional model files and reference simulations.