Spring critical environmental features (CEFs) were digitized from construction plans, environmental assessments and City of Austin staff review and field observations.

Geological lines (contacts, faults, linears), geological polygons (rock units and alteration or metamorphism) and geological points (outcrops and structure data) derived from existing reports, 1:25,000 1:50,000 and 1:63,360 scale printed maps, new field mapping and interpretation of aerial photography, remote sensing data and airborne geophysical data. Digital data is available as a seamless layer, with the understanding that it may include unresolved edge-matching issues originating from mapping project boundaries in the source data. The digital data is used to produce the Digital Geological Atlas 1:25,000 Scale map series.

,A compilation of bedrock outcrops as points and/or polygons from 1:62,500 and 1:24,000 geologic mapping by the Vermont Geological Survey, the United States Geological Survey, and local colleges and universities. Layer includes data from VGS Open File Reports, VGS Bulletins, USGS reports, digitized 1:62,500 surficial and bedrock maps, university theses, and unpublished data. For each point or polygon the NAD 1983 UTM Zone 18N X and Y coordinates are included (for polygons it is the X and Y coordinates of the centroid). A reference and publication year are included where possible.,

The map gives a modelled estimate (probability) of the spatial distribution of rock outcroppings across Australia. This product was produced in the development of the updated soil thickness map of Australia, details of which are published in Malone and Searle (2020; https://doi.org/10.1016/j.geoderma.2020.114579). This product is the output from Model 1 of aforementioned paper and uses the Rock Properties database provided by Geoscience Australia which gives the locations of sampled rock outcrops across Australia (http://www.ga.gov.au/scientific-topics/disciplines/geophysics/rock-properties). Filtering this dataset resulted in 14616 rock outcrop locations within areas where relief >300 m. A machine learning model was used to find relationships between observed data and associated environmental covariate data to inform the mapping of rock outcrop occurrence across Australia. Detailed information about the Soil and Landscape Grid of Australia can be found at - SLGA Attribute Definition: Probability of rock outcrops; Units: 0-1; Period (temporal coverage; approximately): 1950-2021; Spatial resolution: 3 arc seconds (approx 90m); Total number of gridded maps for this attribute: 1; Number of pixels with coverage per layer: 2007M (49200 * 40800); Data license : Creative Commons Attribution 4.0 (CC BY); Target data standard: GlobalSoilMap specifications; Format: Cloud Optimised GeoTIFF;