The winter rainy season of 2016-2017 brought abundant rainfall to the state of California, including the San Francisco Bay region. Thousands of shallow landslides were triggered as a result of saturated soils and intense rainfall from strong winter storms in January and February 2017. The highest concentration of landslides from these storms occurred in the eastern part of the bay region, where landslides in the hills east of the Cities of Richmond, Berkeley, Oakland, Hayward, and Fremont, and elsewhere in the region, damaged homes, displaced a major electrical transmission-line tower, and blocked several heavily traveled state highway routes. The data presented here support our published map titled, "Landslides Triggered by the 2016-2017 Storm Season, Eastern San Francisco Bay Region, California" where we mapped a total of 8,928 landslides throughout the study area. The mapping encompasses a total area of approximately 1,050 square kilometers (km²) bounded by the Carquinez Strait and San Francisco Bay to the north and west, respectively, to the Interstate Highway 680 corridor to the south and east. Using high-resolution imagery, we mapped individual landslides as polygons. The greatest calculated landslide concentration (measured as the total number of landslides per unit area) exceeded 80 landslides per 0.25 km2 in the hills east of the City of Berkeley.

This inventory was originally created by Harp and others (1984) describing the landslides triggered by a sequence of earthquakes, with the largest being the M 6.5 Mammoth Lakes, California earthquake that occurred on 25 May 1980 at 19:44:50 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory includes landslides triggered by a sequence of earthquakes rather than a single mainshock. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.

This inventory was originally created by Harp and others (1984) describing the landslides triggered by a sequence of earthquakes, with the largest being the M 6.5 Mammoth Lakes, California earthquake that occurred on 25 May 1980 at 19:44:50 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory includes landslides triggered by a sequence of earthquakes rather than a single mainshock. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.

On February 14th, 2019, a strong atmospheric river storm (AR4 on the Atmospheric River scale of Ralph et al., 2019) struck California. The heavy rainfall caused landslides in both northern and southern California (Hatchett et al., 2020). This data release includes two subsets of mapped shallow landslide source locations in the vicinity of western Riverside County, California, where sufficient post-event imagery was available within Google Earth (image date: August 15, 2019). The data release includes: 1) .csv files containing the point locations of shallow hillslope landslides, 2) .zip files containing shapfiles (.shp) of the mapped study areas. Ralph, F., Rutz, J. J., Cordeira, J. M., Dettinger, M., Anderson, M., Reynolds, D., et al. (2019). A Scale to Characterize the Strength and Impacts of Atmospheric Rivers. Bulletin of the American Meteorological Society, 100(2), 269–289. https://doi.org/10.1175/BAMS-D-18-0023.1 Hatchett, B. J., Cao, Q., Dawson, P. B., Ellis, C. J., Hecht, C. W., Kawzenuk, B., et al. (2020). Observations of an Extreme Atmospheric River Storm With a Diverse Sensor Network. Earth and Space Science, 7(8), e2020EA001129. https://doi.org/10.1029/2020EA001129 The use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

On February 14th, 2019, a strong atmospheric river storm (AR4 on the Atmospheric River scale of Ralph et al., 2019) struck California. The heavy rainfall caused landslides in both northern and southern California (Hatchett et al., 2020). This data release includes two subsets of mapped shallow landslide source locations in the vicinity of western Riverside County, California, where sufficient post-event imagery was available within Google Earth (image date: August 15, 2019). The data release includes: 1) .csv files containing the point locations of shallow hillslope landslides, 2) .zip files containing shapfiles (.shp) of the mapped study areas. Ralph, F., Rutz, J. J., Cordeira, J. M., Dettinger, M., Anderson, M., Reynolds, D., et al. (2019). A Scale to Characterize the Strength and Impacts of Atmospheric Rivers. Bulletin of the American Meteorological Society, 100(2), 269–289. https://doi.org/10.1175/BAMS-D-18-0023.1 Hatchett, B. J., Cao, Q., Dawson, P. B., Ellis, C. J., Hecht, C. W., Kawzenuk, B., et al. (2020). Observations of an Extreme Atmospheric River Storm With a Diverse Sensor Network. Earth and Space Science, 7(8), e2020EA001129. https://doi.org/10.1029/2020EA001129 The use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

This data release provides datasets supporting research on landslides triggered by a series of storms in the San Francisco Bay Area, California, that occurred between December 25, 2022, through January 19, 2023. During this period, eight atmospheric river storms delivered intense and prolonged rainfall across the region, leading to significant hydrological responses and widespread landsliding. Statewide, over 700 landslides were initially reported, with the total count likely exceeding 10,000. This release includes detailed observations from three landslide-prone monitoring sites in urbanized areas of the San Francisco Bay Area, capturing high-resolution time series data on rainfall, soil moisture, and subsurface pore water pressure. These datasets can be used for analyzing the subsurface hydrologic conditions preceding and during landslide events, thereby providing insight into storm-induced landslide triggers and informing future landslide prediction models. The data also support ongoing efforts to improve early warning systems for rainfall-induced landslides in California and other vulnerable regions. The data package includes the following files: 1. CSV Files: Time-series data capturing rain, soil moisture and piezometer measurements for each monitoring site. These files track key variables such as soil volumetric water content and pore water pressure, essential for understanding the hydrologic triggers of landslides. 2. PDF: Geotechnical Properties of Sites: This document presents detailed results from soil classification and hydromechanical testing conducted at each site. The data provide the physical properties of the soil, such as its composition and behavior under stress, which influence landslide susceptibility. 3. PDF: Site Images and Cross-Sections: This file contains a photograph and cross-sectional diagram of each site, offering visual context and structural details for the monitoring locations. These diagrams help illustrate the subsurface geological characteristics relevant to landslide risks. 4. PDF: Location Maps: This document includes a map showing the precise geographic location of each monitoring site within the San Francisco Bay Area, providing context for the collected data regarding regional landslide hazards. 5. CSV Files: Landslide location data for landslides mapped to have occurred during the December 25, 2022, to January 19, 2023, storm sequence near the BALT1 (East Bay), BALT2 (Marin County), and BALT3 (San Francisco Peninsula) monitoring sites. Each dataset includes a unique landslide identifier and the corresponding easting and northing referenced to the North American Datum of 1983 (NAD83) (EPSG:26910) and projected to Universal Transverse Mercator (UTM) Zone 10 North coordinates. These locations represent general landslide locations and should not be misconstrued as the precise headscarp location.

The maps in this data release show active landslide structures in three areas along the north flank of the Slumgullion landslide. After the entire active part of the landslide was mapped in 1992 and 1993 (Fleming and others, 1999), we remapped these three smaller areas at roughly decadal intervals. Our goal was to learn what structures might persist and how they might change as heterogeneous landslide material of variable thickness passed through the areas. Together with the original 1999 map, these maps provide snapshots of the deformational features at converging and diverging margins of the landslide at four periods in about a 30-year time span (1992-2023). During summer months in 2002, 2013, and 2023, we conducted 1:1000-scale mapping using a traditional technique of manually drawing lines on topographic base maps to represent the structures we observed in the field. There was generally a lapse of two or more years between acquisition of the topographic base data and the field mapping. Meters of landslide displacement during the lapse resulted in a mismatch between the topographic map and topography on the active landslide at the time of our fieldwork. When drawing features on the topographic base, we referenced fixed topographic features directly north of the active landslide’s strike-slip boundary to compensate for the mismatch. The data are recorded in Geographic Information System (GIS) files that contain the line styles used to portray and distinguish the different landslide structures. The files record the shapes and positions of the mapped landslide structures. An index of line styles used to portray mapped structures is shown in Figure 1. Topographic base maps used for the 2002, 2013, and 2023 structural maps were from 2000, 2011, and 2018, respectively. One-meter Digital Elevation Models (DEMs), contours, and shaded-relief maps from these three years are included in this data release. The 2000 DEM was created from 2 m contours of the landslide on July 31, 2000, as originally published in Messerich and Coe (2003). The 2011 DEM was created by the authors using a structure-from-motion photogrammetric method and 1:6000 scale aerial photos acquired on September 23, 2011. The 2018 DEM is lidar data collected between October 5, 2018 and September 24, 2019, with the original data available from the U.S. Geological Survey 3DEP Lidar Explorer (U.S. Geological Survey, 2024). The contour interval used for the 2000 DEM is 2 m. The contour interval used for the 2011 and 2018 DEM is 1 m. All GIS data are projected in the Universal Transverse Mercator (UTM) zone 13N cartesian coordinate system. Portable Document Format (PDF) files of the landslide structure maps of each area in 2002, 2013, and 2023, are also provided. Figure 1. Line and polygon types used for landslide structures and features mapped at the Slumgullion landslide. References Fleming, R.W., Baum, R.L., and Giardino, Marco, 1999, Map and description of the active part of the Slumgullion Landslide, Hinsdale County, Colorado: U.S. Geological Survey Geologic Investigations Series Map I-2672 , scale 1:1,000, https://doi.org/10.3133/i2672 Messerich, J.A. and Coe, J.A., 2003, Topographic map of the active part of the Slumgullion landslide on July 31, 2000, Hinsdale County, Colorado: U.S. Geological Survey Open-File Report 03-144, 7 p., 1:1,000 scale map. http://pubs.usgs.gov/of/2003/ofr-03-144/ U.S. Geological Survey, 2024, 3DEP Lidar Explorer, data available at: http://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/1m/Projects/CO_Southwest_NRCS_2018_D18

The maps in this data release show active landslide structures in three areas along the north flank of the Slumgullion landslide. After the entire active part of the landslide was mapped in 1992 and 1993 (Fleming and others, 1999), we remapped these three smaller areas at roughly decadal intervals. Our goal was to learn what structures might persist and how they might change as heterogeneous landslide material of variable thickness passed through the areas. Together with the original 1999 map, these maps provide snapshots of the deformational features at converging and diverging margins of the landslide at four periods in about a 30-year time span (1992-2023). During summer months in 2002, 2013, and 2023, we conducted 1:1000-scale mapping using a traditional technique of manually drawing lines on topographic base maps to represent the structures we observed in the field. There was generally a lapse of two or more years between acquisition of the topographic base data and the field mapping. Meters of landslide displacement during the lapse resulted in a mismatch between the topographic map and topography on the active landslide at the time of our fieldwork. When drawing features on the topographic base, we referenced fixed topographic features directly north of the active landslide’s strike-slip boundary to compensate for the mismatch. The data are recorded in Geographic Information System (GIS) files that contain the line styles used to portray and distinguish the different landslide structures. The files record the shapes and positions of the mapped landslide structures. An index of line styles used to portray mapped structures is shown in Figure 1. Topographic base maps used for the 2002, 2013, and 2023 structural maps were from 2000, 2011, and 2018, respectively. One-meter Digital Elevation Models (DEMs), contours, and shaded-relief maps from these three years are included in this data release. The 2000 DEM was created from 2 m contours of the landslide on July 31, 2000, as originally published in Messerich and Coe (2003). The 2011 DEM was created by the authors using a structure-from-motion photogrammetric method and 1:6000 scale aerial photos acquired on September 23, 2011. The 2018 DEM is lidar data collected between October 5, 2018 and September 24, 2019, with the original data available from the U.S. Geological Survey 3DEP Lidar Explorer (U.S. Geological Survey, 2024). The contour interval used for the 2000 DEM is 2 m. The contour interval used for the 2011 and 2018 DEM is 1 m. All GIS data are projected in the Universal Transverse Mercator (UTM) zone 13N cartesian coordinate system. Portable Document Format (PDF) files of the landslide structure maps of each area in 2002, 2013, and 2023, are also provided. Figure 1. Line and polygon types used for landslide structures and features mapped at the Slumgullion landslide. References Fleming, R.W., Baum, R.L., and Giardino, Marco, 1999, Map and description of the active part of the Slumgullion Landslide, Hinsdale County, Colorado: U.S. Geological Survey Geologic Investigations Series Map I-2672 , scale 1:1,000, https://doi.org/10.3133/i2672 Messerich, J.A. and Coe, J.A., 2003, Topographic map of the active part of the Slumgullion landslide on July 31, 2000, Hinsdale County, Colorado: U.S. Geological Survey Open-File Report 03-144, 7 p., 1:1,000 scale map. http://pubs.usgs.gov/of/2003/ofr-03-144/ U.S. Geological Survey, 2024, 3DEP Lidar Explorer, data available at: http://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/1m/Projects/CO_Southwest_NRCS_2018_D18

The area surrounding La Conchita, California (CA), USA experienced significant landslides and debris flows following a storm on January 10th, 2005, including a deadly deep-seated landslide that destroyed 13 houses and caused 10 fatalities (Jibson, 2005). This data release documents the locations of shallow landslide source locations in the vicinity of the deadly 2005 La Conchita landslide. Landslide locations were mapped as points using post-event imagery available in Google Earth. The data release includes: 1) .csv file containing the point locations of shallow hillslope landslides, 2) .zip file containing shapefile (.shp) of the mapped study area. Jibson, R. W. (2006). The 2005 La Conchita, California, landslide. Landslides, 3(1), 73–78. https://doi.org/10.1007/S10346-005-0011-2/FIGURES/10 The use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

The area surrounding La Conchita, California (CA), USA experienced significant landslides and debris flows following a storm on January 10th, 2005, including a deadly deep-seated landslide that destroyed 13 houses and caused 10 fatalities (Jibson, 2005). This data release documents the locations of shallow landslide source locations in the vicinity of the deadly 2005 La Conchita landslide. Landslide locations were mapped as points using post-event imagery available in Google Earth. The data release includes: 1) .csv file containing the point locations of shallow hillslope landslides, 2) .zip file containing shapefile (.shp) of the mapped study area. Jibson, R. W. (2006). The 2005 La Conchita, California, landslide. Landslides, 3(1), 73–78. https://doi.org/10.1007/S10346-005-0011-2/FIGURES/10 The use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.