NCALM Seed. PI: Zachery Lifton, Georgia Institute of Technology. The survey area consisted of a polygon located 15 km northeast of Bishop, California. The polygon is approximately 47 square kilometers. The survey took place on July 04, 2012. Data were collected to investigate new late Pleistocene slip rates on the White Mountain fault based on lidar data and geochronology.

NCALM Seed. PI: Seul Gi Moon, Stanford University. The survey area consisted of two separate polygons shown with red outlines below in Figure 1. The North polygon is located approximately 35 km West of Garberville, California and the South polygon is located approximately 42 km South of Garberville, California. The total area for the 2 polygons is approximately 47 km2. The survey took place on July 05, 2012.

NCALM Seed. PI: Roman DiBiase, Arizona State University. The survey area consists of a 53 square kilometer polygon located in San Gabriel Mountains, Northeast of Los Angeles, California. Data were collected on July 17, 2007 to investigate the connection between tectonics and topography.

This dataset, located within the San Bernardino Mountains, CA, was collected as an NCALM Seed grant for Jesse Waco, San Jose State University, Geology Department to support an investigation of topographic stress control on subsurface weathered zone and seismic site conditions in southern California. The requested survey area is located approximately 25 km northwest of Palm Springs, CA. The polygon encloses approximately 64 km2. Note: A considerable percentage of the points in this dataset were classified as "building" (LAS class 6) although visual inspection indicates these points are mostly above-ground vegetation. For the purposes of distribution through OpenTopography, these points have been grouped with "unclassified" (LAS class 1) points to reduce point cloud classification to either "ground" or "unclassified" below.

NCALM Seed. PI: Alistair T. Hayden, California Institute of Technology The requested survey area consisted of one polygon located south of Price, UT. The polygon encloses approximately 38 km2 (15 mi2). The survey will support a study on using inverted channels to reconstruct river dynamics and 3D architecture of alluvial stratigraphy on Earth and Mars.

A three-dimensional geologic map was created by assembling eight geologic cross sections derived from geologic mapping, potential field geophysics, and petroleum well logs. The central feature of the map is the San Andreas Fault, with many other prominent structural features depicted that express the regional transpressional tectonic setting. The subsurface interpretation was based on existing two-dimensional geologic mapping and modified by new geologic mapping by USGS geologists between 2005-2014. Existing gravitational anomaly and magnetic anomaly maps helped guide subsurface interpretations. The result is a three-dimensional model that depicts the geologic units, faults, and folds of the region in a model that can be viewed from any perspective and sliced in any direction. Once the map was assembled, kinematic modeling was conducted using the modeling software’s forward and reverse deformation algorithms. These exercises were in part experimental, to assess how well the software’s kinematic algorithms work in this setting. But these experiments have also yielded insights into the geologic history of the region. An experiment with fault motion algorithms revealed a possible mechanism for the creation of secondary faults. Retro-deforming a syncline was also performed to approximate the amount of contraction caused by compressional stress in the region.

A three-dimensional geologic map was created by assembling eight geologic cross sections derived from geologic mapping, potential field geophysics, and petroleum well logs. The central feature of the map is the San Andreas Fault, with many other prominent structural features depicted that express the regional transpressional tectonic setting. The subsurface interpretation was based on existing two-dimensional geologic mapping and modified by new geologic mapping by USGS geologists between 2005-2014. Existing gravitational anomaly and magnetic anomaly maps helped guide subsurface interpretations. The result is a three-dimensional model that depicts the geologic units, faults, and folds of the region in a model that can be viewed from any perspective and sliced in any direction. Once the map was assembled, kinematic modeling was conducted using the modeling software’s forward and reverse deformation algorithms. These exercises were in part experimental, to assess how well the software’s kinematic algorithms work in this setting. But these experiments have also yielded insights into the geologic history of the region. An experiment with fault motion algorithms revealed a possible mechanism for the creation of secondary faults. Retro-deforming a syncline was also performed to approximate the amount of contraction caused by compressional stress in the region.

NCALM Seed. PI: Kristin Morell, Penn State University. The survey area is 76.31 square kilometers, located 26 kilometers northwest of San Francisco, California in the Point Reyes National Seashore. This survey was flown as a part of Seed Money Survey Campaign that took place in Aug-Sept 2009. This section was surveyed over two days: Sept 8, 2009 and Sept 9, 2009. Lidar data was collected to investigate the landscape response to tectonics by studying the coupling between channels and hillslopes during transient adjustment to an increase in uplift rate.

These data are derived from laser scanning surveys of the San Andreas Fault and surrounding groves of trees in Fort Ross State Historic Park, California. Surveys were performed on May 13, 2013 and June 19–20, 2024. The second survey was performed specifically to document the morphology of trees that show signs of past earthquake damage, four of which were sampled for dendroseismology studies in 2023–2024 (see Carroll et al., 2025). In addition to the 2013 and 2024 terrestrial laser scanner point clouds, we provide a version of the 2024 point cloud that was automatically classified into individual trees using Riegl RiScan Pro LIS Tree Analyzer Plug-in and manually refined point clouds of the four trees sampled in 2023–2024 (FRN1–4 of Carroll et al., 2025). We also include point clouds of the four sampled trees in HTML format that can be viewed and manipulated in a web browser. To document fault geomorphology, we produced a “bare earth” digital elevation model using both terrestrial point clouds supplemented with airborne laser scanner data from the USGS 3DEP collected in 2022.

NCALM Seed. PI: Jill Marshall, San Francisco State University. The project area covers portions of the San Jose Mountains and consists of two polygons totaling approximately 50 square kilometers. The area of interest is located 30 kilometers west of San Jose, CA and was flown on Wednesday and Thursday, December 6-7, 2006.