This Data Release section presents tipping-bucket rain gage data collected following the 2010 Fourmile Canyon Fire near Boulder, Colorado. Further details are provided in: https://pubs.usgs.gov/sir/2011/5236 and https://onlinelibrary.wiley.com/doi/full/10.1002/hyp.9424.

Precipitation, volumetric soil-water content, videos, and geophone data characterizing postfire debris flows were collected at the 2022 Hermit’s Peak Calf-Canyon Fire in New Mexico. This dataset contains data from June 22, 2022, to June 26, 2024. The data were obtained from a station located at 35° 42’ 28.86” N, 105° 27’ 18.03” W (geographic coordinate system). Each data type is described below. Raw Rainfall Data: Rainfall data, Rainfall.csv, are contained in a comma separated value (.csv) file. The data are continuous and sampled at 1-minute intervals. The columns in the csv file are TIMESTAMP(UTC), RainSlowInt (the depth of rain in each minute [mm]), CumRain (cumulative rainfall since the beginning of the record [mm]), and VWC# (volumetric water content [V/V]) at three depths (1 = 10 cm, 2=30 cm, and 3=50 cm). VWC values outside of the range of 0 to 0.5 represent sensor malfunctions and were replaced with -99999 . Storm Record: We summarized the rainfall, volumetric soil-water content, and geophone data based on rainstorms. We defined a storm as rain for a duration >= 5 minutes or with an accumulation > 2.54 mm. Each storm was then assigned a storm ID starting at 0. The storm record data, StormRecord.csv, provides peak rainfall intensities and times and volumetric soil-water content information for each storm. The columns from left to right provide the information as follows: ID, StormStart [yyyy-mm-dd hh:mm:ss-tz] ([UTC], calculated as any time at least 0.2 mm of rain is detected), StormStop [yyyy-mm-dd hh:mm:ss-tz] ([UTC], timestamp of last rain gauge tip followed by at least 6 hours without precipitation), StormDepth [mm] (the total amount of rain that fell in the storm), StormDuration [h] (length of storm), I-5 [mm h-1] (peak 5-minute rainfall intensity), I-10 [mm h-1] (peak 10-minute rainfall intensity), I-15 [mm h-1] (peak 15-minute rainfall intensity), I-30 [mm h-1] (peak 30-minute rainfall intensity during the storm), I-60 [mm h-1] (peak 60-minute rainfall intensity), I-5 time [yyyy-mm-dd hh:mm:ss-tz] ([UTC], the time of the peak 5-minute rainfall intensity), I-10 time [yyyy-mm-dd hh:mm:ss-tz] ([UTC], the time of the peak 10-minute rainfall intensity), I-15 time yyyy-mm-dd hh:mm:ss-tz] ([UTC], the time of the peak 15-minute rainfall intensity), I-30 time yyyy-mm-dd hh:mm:ss-tz] ] ([UTC], the time of the peak 30-minute rainfall intensity), I-60 time [yyyy-mm-dd hh:mm:ss-tz] [UTC], (the time of the peak 60-minute rainfall intensity), VWC (volumetric water content [V/V] at three depths (1 = 10 cm, 2 = 30 cm, 3 = 50 cm) at the start of the storm, the time of the peak 15-minute rainfall intensity, and the end of the storm), Velocity [m s-1] of the flow, and Event (qualitative observation of type of flow from video footage). VWC values outside of the range of 0 to 0.5 represent sensor malfunctions and were replaced with -99999. Velocity was only calculated for flows with a noticeable surge as the rest of the signal is not sufficient for a cross-correlation, and Event was only filled for storms with quality video data. Values of -99999 were assigned for these columns for all other storms. Geophone Data: Geophone data, GeophoneData.zip, are contained in comma separated value (.csv) files labeled by ‘storm’ and the corresponding storm ID in the storm record and labeled IDa and IDb if the geophone stopped recording for more than an hour during the storm. The data was recorded at two geophones sampled at 50 Hz, one 11.5 m upstream from the station and one 9.75 m downstream from the station. Geophones were triggered to record when 1.6 mm of rain was detected during a period of 10 minutes, and they continued to record for 30 minutes past the last timestamp when this criteria was met. The columns in each csv file are TIMESTAMP [UTC], GeophoneUp_mV (the upstream geophone [mV]), GeophoneDn_mV (the downstream geophone [mV]). Note that there are occasional missed samples when the data logger did not record due to geophone malfunction

Rainfall, volumetric soil-water content, video, and geophone data characterizing postfire rainfall and runoff were collected at two stations in the 2020 Calwood Fire Burn Area in Colorado. This release contains data from stations at two sites named Heil Ranch (40° 8' 43.47" N, 105° 20' 26.352" W) and Calwood (40° 9' 4.76" N, 105° 21' 20.79" W). The data presented here were collected from April 8, 2021, to November 7, 2023 at the Heil Ranch station, and from May 7, 2021, to October 3, 2022 at the Calwood station. Station names (Heil and Calwood) were used as a prefix for the data files. Each data type is described below. Raw Cumulative Data: Cumulative rainfall data, xxxxCumulativeRainfall.csv are contained in a comma separated value (CSV) file (here xxxx is replaced with either Heil or Calwood, depending on the station). The data are continuous and sampled at 1-minute intervals. The columns in the CSV file are TIMESTAMP[UTC], RainSlowInt (the depth of rain in each minute [mm]), CumulativeRainfall (cumulative rainfall since the beginning of the record [mm]), and VWC (volumetric water content [V/V]) at three depths below ground surface (1 = 10 cm, 2 = 30 cm, 3 = 50 cm). VWC values outside of the range of 0 to 0.5 represent sensor malfunctions and were replaced with -99999. Storm Record: We summarized the rainfall, volumetric soil-water content, and geophone data based on rainstorms. We defined a storm as rain for a duration greater than or equal to 5 minutes or with an accumulation greater than or equal to 2.54 mm until the last rain gauge tip followed by at least 8 hours without precipitation. Each storm was then assigned a storm ID starting at 0. The storm record data, xxxxStormRecord.csv (where xxxx is replaced with either Heil or Calwood, depending on the station), provides peak rainfall intensities and times and volumetric soil-water content information for each storm. The columns from left to right provide the information as follows: ID, StormStart [yyyy-mm-dd hh:mm:ss-tz] ([UTC], timestamp when at least 0.2mm of rain is detected), StormStop [yyyy-mm-dd hh:mm:ss-tz] ([UTC], timestamp of last rain gauge tip followed by at least 8 hours without precipitation), StormDepth [mm] (the amount of rain that fell in the storm), StormDuration [h] (length of storm), I -5 [mm h-1] (peak 5- minute rainfall intensity), I-10 [mm h-1] (peak 10-minute rainfall intensity), I-15 [mm h-1] (peak 15- minute rainfall intensity), I-30 [mm h-1] (peak 30-minute rainfall intensity during the storm), I-60 [mm h-1] (peak 60-minute rainfall intensity), I-5 time [yyyy-mm-dd hh:mm:ss-tz] (the time of the peak 5-minute rainfall intensity), I-10 time yyyy-mm-dd hh:mm:ss-tz] (the time of the peak 10-minute rainfall intensity), I-15 time [yyyy-mm-dd hh:mm:ss-tz] (the time of the peak 15-minute rainfall intensity), I-30 time [yyyy-mm-dd hh:mm:ss-tz] ] (the time of the peak 30-minute rainfall intensity), I-60 time [yyyy-mm-dd hh:mm:ss-tz] (the time of the peak 60-minute rainfall intensity), VWC (volumetric water content at three depths below ground surface (1 = 10 cm, 2 = 30 cm, 3 = 50 cm) at the start of the storm, the time of the peak 15-minute rainfall intensity, and the end of the storm [V/V]). Geophone Data: Geophone data, xxxxGeophoneData.zip, are contained in comma separated value (CSV) files (here xxxx is replaced with either Heil or Calwood, depending on the station). The geophone data are labeled by the corresponding storm ID in the storm record and labeled IDa and IDb if the geophone stopped recording for more than an hour during the storm. The two geophones sampled at 50 Hz, one upstream and one downstream, and were placed 16 m apart at the Heil station and 14.9 m apart at the Calwood station. Geophones were triggered to record when 1.6 mm of rain was detected during a period of 10 minutes, and they continued to record for 30 minutes past the last timestamp when this criteria was met. The columns in each CSV file are TIMESTAMP [UTC], GeophoneUp_mV

Rainfall measurements were collected in and near the CZU Lightning Complex Fire (hereafter, "CZU Fire") burn area, Santa Cruz Mountains, California. The CZU Fire ignited in the Santa Cruz Mountains, California, on August 16, 2020. By the time of full containment on September 22, 2020, the fire had burned 350 km2 (86,510 acres) in Santa Cruz and San Mateo Counties. The U.S. Geological Survey (USGS) installed four rain gages in and near the CZU Fire burn area to measure rainfall during the post-fire wet seasons. The USGS gratefully acknowledges the cooperation of Big Basin Redwoods State Park, the Big Creek Lumber Co., the McCrary family, and Brookdale Lodge in the collection of these data.

Rainfall measurements were collected in and near the CZU Lightning Complex Fire (hereafter, "CZU Fire") burn area, Santa Cruz Mountains, California. The CZU Fire ignited in the Santa Cruz Mountains, California, on August 16, 2020. By the time of full containment on September 22, 2020, the fire had burned 350 km2 (86,510 acres) in Santa Cruz and San Mateo Counties. The U.S. Geological Survey (USGS) installed four rain gages in and near the CZU Fire burn area to measure rainfall during two post-fire wet seasons. The USGS gratefully acknowledges the cooperation of Big Basin Redwoods State Park, the Big Creek Lumber Co., the McCrary family, and Brookdale Lodge in the collection of these data. This data release contains rain records from the Big Basin, Berry Creek, Brookdale, and Green Valley locations, measured over the second wet season after the CZU Fire. These four rain gages were removed on May 31, 2022.

This data release supports the analysis of the recurrence interval of post-fire debris-flow generating rainfall in the southwestern United States. We define the recurrence interval of the peak 15-, 30-, and 60-minute rainfall intensities for 316 observations of post-fire debris-flow occurrence in 18 burn areas, 5 U.S. states, and 7 climate types (as defined by Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., & Wood, E. F. (2018). Present and future Köppen-Geiger climate classification maps at 1-km resolution. Scientific Data, 5(1), 180214. doi:10.1038/sdata.2018.214).

These data include a collection of 3-dimensional (3D) point clouds from three New Mexico landscapes and associated field-collected validation data accompanying each scan. The data were collected in fall of 2022-2023 across three montane New Mexico landscapes - similar in climate but differing in disturbance histories. Landscapes include a intensely and repeatedly burned shrubfield, a less severely burned and open ponderosa pine woodland, and a dense, fire excluded mixed conifer forest (Ponderosa pine dominated with components of Doug-fir, White Fir, Southwestern White Pine, and Aspen). Field collected data represent fuel characteristics we were intending to model using the point clouds, and differ from each landscape. Methods included two 20-meter point line intercepts of suspended aerial and surface fuels, continuous counts of 1-1000 hour fuels, ocular estimates of vegetation cover, and tree characteristics (when present). The data are in two forms - tabular and spatial. Tabular data (field collections of fuel characteristics) can be linked to individual scans via file names using the scanID column. Spatial data lack a coordinate reference system - meaning - you cannot link a given point within the point cloud to a real-world spatial location. Scans can be linked to the unique XY coordinates of the center point (taken using a 3m accuracy Garmin GPS) from the tabular data, but all spatial reference units are relative to the positioning of the scanner. In other words, the coordinate reference system is undefined and relies on scanner origin.

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.

These data are daily climate, water balance, and soil moisture data for 270 plots in the National Park Service (NPS) Southern Colorado Plateau Network (SCPN) Inventory & Monitoring (I&M) network. Climate data was collected from a gridded, daily climate dataset, Daymet (https://daymet.ornl.gov/). Climate, alongside field-collected soils (SoilDepthsByPlot.csv) and vegetation information, were then used to drive a point based, daily, multi soil-layer, ecosystem water-balance model, SOILWAT2 (https://github.com/DrylandEcology/SOILWAT2). SCPN plots were established to capture the range of ecosystem conditions present in this network. Plant communities of the SCPN are a vital sign for this region, enhancing habitat, stabilizing soils, and moderating hydrology. However, these ecosystems are water-limited, and many plant and ecosystem processes are driven by the amount of water available in the soil profile (i.e. soil moisture). These data provide daily observations of gridded climate and predicted measures of water-balance (ie. transpiration, evaporation, etc.) and soil moisture availability for the last 38 years for 270 NPS plots and can be used to provide insight into plant and ecosystem processes.

These data are daily climate, water balance, and soil moisture data for 270 plots in the National Park Service (NPS) Southern Colorado Plateau Network (SCPN) Inventory & Monitoring (I&M) network. Climate data was collected from a gridded, daily climate dataset, Daymet (https://daymet.ornl.gov/). Climate, alongside field-collected soils (SoilDepthsByPlot.csv) and vegetation information, were then used to drive a point based, daily, multi soil-layer, ecosystem water-balance model, SOILWAT2 (https://github.com/DrylandEcology/SOILWAT2). SCPN plots were established to capture the range of ecosystem conditions present in this network. Plant communities of the SCPN are a vital sign for this region, enhancing habitat, stabilizing soils, and moderating hydrology. However, these ecosystems are water-limited, and many plant and ecosystem processes are driven by the amount of water available in the soil profile (i.e. soil moisture). These data provide daily observations of gridded climate and predicted measures of water-balance (ie. transpiration, evaporation, etc.) and soil moisture availability for the last 38 years for 270 NPS plots and can be used to provide insight into plant and ecosystem processes.