These data are Pacific Northwest National Lab inversions of an amalgamation of two surface gravity datasets: Davenport-Newberry gravity collected prior to 2012 stimulations and Zonge International gravity collected for the project "Novel use of 4D Monitoring Techniques to Improve Reservoir Longevity and Productivity in Enhanced Geothermal Systems" in 2012. Inversions of surface gravity recover a 3D distribution of density contrast from which intrusive igneous bodies are identified. The data indicate a body name, body type, point type, UTM X and Y coordinates, Z data is specified as meters below sea level (negative values then indicate elevations above sea level), thickness of the body in meters, suscept, density anomaly in g/cc, background density in g/cc, and density in g/cc. The model was created using a commercial gravity inversion software called ModelVision 12.0 (http://www.tensor-research.com.au/Geophysical-Products/ModelVision). The initial model is based on the seismic tomography interpretation (Beachly et al., 2012). All the gravity data used to constrain this model are on the GDR: https://gdr.openei.org/submissions/760.

Table 1. Antibodies used for immunohistochemistry. Table 2. Incidence of uterine glandular epithelial lesions over time following neonatal estrogen exposure (GEN or DES) Table 3. Immunohistochemical expression of differentiation markers in the uterine epithelium following neonatal estrogen exposure (GEN or DES). This dataset is associated with the following publication: Suen, A., W. Jefferson, C. Williams, and C. Wood. Differentiation patterns of uterine carcinomas and precursor lesions induced by neonatal estrogen exposure in mice. TOXICOLOGIC PATHOLOGY. Society of Toxicology, RESTON, VA, 46(5): 574-596, (2018).