The dataset consists of spatial data showing locations of channel incision points (CIP) and sediment deposition in burned study sites in the Tumut and Tuross Catchment study regions. This dataset includes aerial imagery captured 1-2 years after the 2019/20 bushfires of the study regions from which the locations of CIPs and sediment deposits were determined, and gridded landscape attribute information used to test the spatial association between landscape attributes and CIP density. Refer to the following NRC report 'Post fire debris flow mapping - Coastal IFOA monitoring program - June 2023', which is included in the dataset, for background and further detail.

Heavy rainfall during mid-November 1996 induced debris flows throughout the southern Oregon Coast Range, including more than 150 in the immediate vicinity of north Charlotte Creek (Coe and others, 2011). Data in this project pertain to a 2.4-km2 area centered at N 43.65° and W 123.94° which an area where high concentrations of debris flows occurred. These data include a subset of a map of landslide and debris flow polygons (Coe and others, 2011) and raster grids derived from a lidar dataset acquired in 2008 – 2009 (https://gis.dogami.oregon.gov/maps/lidarviewer/). The project area covers a tributary basin west of Charlotte Creek, southwest of the Umpqua River, and is in the southern part of the Deer Head Point 7.5-minute quadrangle. These data were used to test an implementation of the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model (TRIGRS, see Baum and others, 2011) for the timing and distribution of rainfall-induced shallow landslides, a simplified three-dimensional slope stability analysis method (Baum and others, 2012), and for testing soil depth models (Baum, 2017).

Heavy rainfall during mid-November 1996 induced debris flows throughout the southern Oregon Coast Range, including more than 150 in the immediate vicinity of north Charlotte Creek (Coe and others, 2011). Data in this project pertain to a 2.4-km2 area centered at N 43.65° and W 123.94° which an area where high concentrations of debris flows occurred. These data include a subset of a map of landslide and debris flow polygons (Coe and others, 2011) and raster grids derived from a lidar dataset acquired in 2008 – 2009 (https://gis.dogami.oregon.gov/maps/lidarviewer/). The project area covers a tributary basin west of Charlotte Creek, southwest of the Umpqua River, and is in the southern part of the Deer Head Point 7.5-minute quadrangle. These data were used to test an implementation of the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model (TRIGRS, see Baum and others, 2011) for the timing and distribution of rainfall-induced shallow landslides, a simplified three-dimensional slope stability analysis method (Baum and others, 2012), and for testing soil depth models (Baum, 2017).

Debris Flow, Precipitation, and Volume Measurements in the Grizzly Creek Burn Perimeter June 2021-September 2022 https://doi.org/10.5066/P9Z7RROL This data release contains data summarizing observations within and adjacent to the Grizzly Creek Fire, which burned from 10 August to 18 December 2020. This monitoring data summarizes precipitation, observations of debris flows, and the volume of sediment eroded during debris flows triggered during the summer monsoonal period in 2021 and 2022. Summary rainfall data 2021 (1a_Storm_matrix_2021_gr1mmhr.csv) are provided in a comma-separated value (CSV) file. These data represent the maximum measured rainfall intensities during the monsoon months of 2021 (June-Sept). The columns in the csv file are: Date (m/dd/yy), Name (11 columns have unique gage names), Max 15 min (this is the maximum 15-minute rainfall intensity in mm/h for the unique gauge), Maximum Value for All Gages (this is the maximum rainfall intensity for all of the gauges in units of either mm/h or in/15 min), Peak 15-minute Intensity (in/15 min) (this is the total inches of rainfall in 15 minutes), Debris Flow (this can be 0 indicating no debris flow response, or 1 indicating a debris flow response). Note that we only display gauges that record data sufficient to produce a 15-minute rainfall intensity. Gauges with longer recording rates (e.g., 1 hour) cannot be used to compute the 15-minute rainfall intensity and are not displayed in this table. A null value (‘n/a’) populates the entries where the rain gauge did not measure a 15-minute rainfall intensity greater than 1 mm/hr. Time series rainfall data from the gauges are provided in the child item: Precipitation Data Grizzly Creek Burn Perimeter. Summary rainfall data 2022 (1b_Storm_matrix_2022_gr1mmhr.csv) are provided in a comma-separated value (CSV) file. These data represent the maximum measured rainfall intensities during the monsoon months of 2022 (June-Sept). The columns in the csv file are: Date (m/dd/yy), Name (7 columns have unique gage names), Max 15 min (this is the maximum 15-minute rainfall intensity in mm/h), Peak 15-minute Intensity (in/15 min) (this is the total inches of rainfall in 15 minutes), Debris Flow (this can be 0 indicating no debris flow response, or 1 indicating a debris flow response). Note that we only display gauges that record data sufficient to produce a 15-minute rainfall intensity. Gauges with longer recording rates (e.g., 1 hour) cannot be used to compute the 15-minute rainfall intensity and are not displayed in this table. A null value (‘n/a’) populates the entries where the rain gauge did not measure a 15-minute rainfall intensity greater than 1 mm/hr. Time series rainfall data from the gauges are provided in the child item: Precipitation Data Grizzly Creek Burn Perimeter. Debris Flow Observation data 2021 (2a_All_Verification_2021.csv) are provided in a comma-separated value (CSV) file. The columns in the csv file are: Year (yyyy), State, Fire Name, Fire_ID (index for the fire developed during the USGS debris flow hazard assessment), Fire_SegID (a specific index assigned by the USGS debris flow hazard assessment to the channel segment that produced the debris flow), Site Name (the name of the nearest milemarker on interstate 70), ObservationDate_mmddyyyy, ObservationLatitude_DD, ObservationLongitude_DD, DebrisFlowResponse (this can be 0 indicating no debris flow response, or 1 indicating a debris flow response), SourceOfObservation (name of the observer), StormDate_mmddyyyy, GaugeName, GaugeLatitude_DD, GaugeLongitude_DD, GaugeDist_km (distance from watershed of the debris flow observation to the nearest rain gage in km), StormAccum_mm (the total rainfall during a storm in millimeters), StormDuration_hr (the total duration of a storm in hours), Peak_I15_mm/h (the maximum 15 minute rainfall intensity in mm/h), Peak_I30_mm/h (the maximum 30 minute rainfall intensity in mm/h), Peak_I60_mm/h (the maximum 60 minute rainfall intensity in

This table contains measured and modeled postfire debris flow volumes alongside the associated sources for debris flow documentation, locations, and volumes. We conducted a search of scientific literature and news media reports to find documentation of debris flows that may have followed all wildfires greater than 100 square kilometers that occurred between 1984 and 2021 in California. The wildfires listed are all the fires we found that had documented postfire debris flows. Some fires had field-measurements of debris flow volume. Where field-measurements of volume did not exist, we used model data on postfire debris-flow likelihood and volume from U.S. Geological Survey Emergency Assessment of Post-Fire Debris-Flow Hazards Team (see Lineage section in this metadata). In some cases, exact locations (but not volumes) were known, in which case we used modeled volumes for these locations. Where debris flows were documented but not exact locations, we used the volumes from all basins with a probability greater than eighty percent of having postfire debris flows.

This table contains measured and modeled postfire debris flow volumes alongside the associated sources for debris flow documentation, locations, and volumes. We conducted a search of scientific literature and news media reports to find documentation of debris flows that may have followed all wildfires greater than 100 square kilometers that occurred between 1984 and 2021 in California. The wildfires listed are all the fires we found that had documented postfire debris flows. Some fires had field-measurements of debris flow volume. Where field-measurements of volume did not exist, we used model data on postfire debris-flow likelihood and volume from U.S. Geological Survey Emergency Assessment of Post-Fire Debris-Flow Hazards Team (see Lineage section in this metadata). In some cases, exact locations (but not volumes) were known, in which case we used modeled volumes for these locations. Where debris flows were documented but not exact locations, we used the volumes from all basins with a probability greater than eighty percent of having postfire debris flows.

This lidar dataset was collected as part of an NCALM Seed grant for James Guilinger at the University of California, Riverside. This study investigated source attribution of eroded sediments from post-fire runoff events using nested scales of sequential change detection. The study area covers approximately 61 km 2 near Leach Canyon in the Santa Ana Mountains of California.

Spatial data used in the study "Characterization and Evaluation of Controls on Post-Fire Streamflow Response Across Western U.S. Watersheds".

This data release includes time-series data from two monitoring stations in a small drainage basin burned in the 2014 Silverado Fire, Orange County, California. One station (upper station) is located in the headwaters of the study area (33 45’39.10”N, 117 35’17.48”W, WGS84). The other station (lower station) is located at the outlet of the study area (33 45’04.61”N, 117 35’12.54”W). The data were collected between November 15, 2014 and January 14, 2016. The data include continuous 1-minute time series of rainfall and soil water content recorded at the both stations and intermittent (during rain storms) 50-Hz time series of flow-induced ground vibrations recorded by geophones at the lower station. The soil water content measurements were made at 2 depths below the ground surface (5 and 10 cm) between 2014-11-15 and 2015-04-24, and 4 depths below the ground surface (5, 10, 15, and 20 cm) between 2015-04-24 and 2016-01-14. The ground vibrations were measured by two 4.5 Hz vertical axis geophones (Geospace SNG 11D/PC902/OPEN-30m) located approximately 3 m from the channel bank and separated by 11.8 m in the streamwise direction. Details of this study are described in the journal article: McGuire, L.A., Rengers, F.K., Kean, J.W., Staley, D.M., and Mirus B.B., (2017), Incorporating spatially heterogeneous infiltration capacity into hydrologic models with applications for simulating post-wildfire debris flow initiation, Hydrologic Processes.

This dataset contains lidar digital elevation models (DEMs). The lidar data were collected before (2016) and after (2021) the Grizzly Creek Fire, which occurred in 2020. The 2016 lidar was collected during a series of flights between 10 June and 7 October 2016. The 2021 lidar flight was conducted in full on 24 August 2021. The files are named with the following convention: Vendor_Year_Resolution_merged_Watershed. The vendor is either Merrick (2016 data) or Sanborn (2021), the year is either 2016 or 2021, the resolution is 1 meter in both cases, and the watershed is labeled as HUC1, HUC2, HUC3_N_side, or HUC3_S_side. Additionally, the files from the individual vendors were uploaded to two separate compressed folders: Merrick_2016_1m_merged_HUCx.zip and Sanborn_2021_1m_merged_HUCx.zip.