This dataset consists of point intercept data, sampled with a point frame, from three 1 ha sites along an elevation and precipitation gradient within Reynolds Creek Experimental Watershed collected between late May and mid July, 2019. The lowest elevation site ('wbs1', 1,425 m) was vegetated by shrub steppe dominated Wyoming big sage (Artemisia tridentata ssp. wyomingensis). Vegetation at the middle elevation site ('los1', 1,680 m) was shrub steppe dominated by low sage (Artemisia arbuscula). Shrub steppe at the highest elevation site ('mbs1', 2,110 m) was dominated by mountain big sage (Artemisia tridentata ssp. vaseyana) and Utah snowberry (Symphoricarpos oreophilus utahensis). At each site 30 randomly located square 1 m^2 plots were sampled. The plots were oriented with one axis randomly chosen from 45, 90, 135, 180, 225, 270, 315 and 360 degrees north azimuth. A point frame of 20 pins was orientated perpendicular to the azimuth and each pin was lowered through the canopy and each contact was recorded to species or other plant material category. Whether the contacted material was photosynthetic (coded as a '+') or non-photosynthetic (coded as '-') was also recorded. Last seasons senesced plant material that is alive but not photosynthetic is coded as '.'. There may be 0, 1, 2 or more canopy hits for each pin (numbered 1 through n with 1 being the top-most canopy hit). A final basal hit is recorded for each pin and coded as hit 0. The point frame was moved so that a total of 5 rows were recorded for a total of 100 pins for each plot. The plant species codes used follow the USDA Plants Database.

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This dataset shows the general location of shrubsteppe and eastside steppe as defined by WDFW’s Priority Habitats and Species (PHS) program. It shows where WDFW recommends counties and cities require site-specific information be gathered to inform site-scale land use decisions. It is not designed to directly inform parcel-scale land use decisions, rather it is designed to be used as a flagging tool. As such, if this dataset errs, it is more likely to over-identify shrubsteppe and eastside steppe than under-identify. It is “best available science” regarding the general location of shrubsteppe and eastside steppe in Washington.<o:p></o:p>

This dataset shows the general location of shrubsteppe and eastside steppe as defined by WDFW’s Priority Habitats and Species (PHS) program. It shows where WDFW recommends counties and cities require site-specific information be gathered to inform site-scale land use decisions. It is not designed to directly inform parcel-scale land use decisions, rather it is designed to be used as a flagging tool. As such, if this dataset errs, it is more likely to over-identify shrubsteppe and eastside steppe than under-identify. It is “best available science” regarding the general location of shrubsteppe and eastside steppe in Washington.<o:p></o:p>

This dataset shows the general location of shrubsteppe and eastside steppe as defined by WDFW’s Priority Habitats and Species (PHS) program. It shows where WDFW recommends counties and cities require site-specific information be gathered to inform site-scale land use decisions. It is not designed to directly inform parcel-scale land use decisions, rather it is designed to be used as a flagging tool. As such, if this dataset errs, it is more likely to over-identify shrubsteppe and eastside steppe than under-identify. It is “best available science” regarding the general location of shrubsteppe and eastside steppe in Washington.<o:p></o:p>

This dataset shows the general location of shrubsteppe and eastside steppe as defined by WDFW’s Priority Habitats and Species (PHS) program. It shows where WDFW recommends counties and cities require site-specific information be gathered to inform site-scale land use decisions. It is not designed to directly inform parcel-scale land use decisions, rather it is designed to be used as a flagging tool. As such, if this dataset errs, it is more likely to over-identify shrubsteppe and eastside steppe than under-identify. It is “best available science” regarding the general location of shrubsteppe and eastside steppe in Washington.<o:p></o:p>

This dataset shows the general location of shrubsteppe and eastside steppe as defined by WDFW’s Priority Habitats and Species (PHS) program. It shows where WDFW recommends counties and cities require site-specific information be gathered to inform site-scale land use decisions. It is not designed to directly inform parcel-scale land use decisions, rather it is designed to be used as a flagging tool. As such, if this dataset errs, it is more likely to over-identify shrubsteppe and eastside steppe than under-identify. It is “best available science” regarding the general location of shrubsteppe and eastside steppe in Washington.<o:p></o:p>

This dataset shows the general location of shrubsteppe and eastside steppe as defined by WDFW’s Priority Habitats and Species (PHS) program. It shows where WDFW recommends counties and cities require site-specific information be gathered to inform site-scale land use decisions. It is not designed to directly inform parcel-scale land use decisions, rather it is designed to be used as a flagging tool. As such, if this dataset errs, it is more likely to over-identify shrubsteppe and eastside steppe than under-identify. It is “best available science” regarding the general location of shrubsteppe and eastside steppe in Washington.<o:p></o:p>

This dataset shows the general location of shrubsteppe and eastside steppe as defined by WDFW’s Priority Habitats and Species (PHS) program. It shows where WDFW recommends counties and cities require site-specific information be gathered to inform site-scale land use decisions. It is not designed to directly inform parcel-scale land use decisions, rather it is designed to be used as a flagging tool. As such, if this dataset errs, it is more likely to over-identify shrubsteppe and eastside steppe than under-identify. It is “best available science” regarding the general location of shrubsteppe and eastside steppe in Washington.

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This dataset shows the general location of shrubsteppe and eastside steppe as defined by WDFW’s Priority Habitats and Species (PHS) program. It shows where WDFW recommends counties and cities require site-specific information be gathered to inform site-scale land use decisions. It is not designed to directly inform parcel-scale land use decisions, rather it is designed to be used as a flagging tool. As such, if this dataset errs, it is more likely to over-identify shrubsteppe and eastside steppe than under-identify. It is “best available science” regarding the general location of shrubsteppe and eastside steppe in Washington.

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This dataset shows the general location of shrubsteppe and eastside steppe as defined by WDFW’s Priority Habitats and Species (PHS) program. It shows where WDFW recommends counties and cities require site-specific information be gathered to inform site-scale land use decisions. It is not designed to directly inform parcel-scale land use decisions, rather it is designed to be used as a flagging tool. As such, if this dataset errs, it is more likely to over-identify shrubsteppe and eastside steppe than under-identify. It is “best available science” regarding the general location of shrubsteppe and eastside steppe in Washington.<o:p></o:p>

This dataset shows the general location of shrubsteppe and eastside steppe as defined by WDFW’s Priority Habitats and Species (PHS) program. It shows where WDFW recommends counties and cities require site-specific information be gathered to inform site-scale land use decisions. It is not designed to directly inform parcel-scale land use decisions, rather it is designed to be used as a flagging tool. As such, if this dataset errs, it is more likely to over-identify shrubsteppe and eastside steppe than under-identify. It is “best available science” regarding the general location of shrubsteppe and eastside steppe in Washington.

This dataset shows the general location of shrubsteppe and eastside steppe as defined by WDFW’s Priority Habitats and Species (PHS) program. It shows where WDFW recommends counties and cities require site-specific information be gathered to inform site-scale land use decisions. It is not designed to directly inform parcel-scale land use decisions, rather it is designed to be used as a flagging tool. As such, if this dataset errs, it is more likely to over-identify shrubsteppe and eastside steppe than under-identify. It is “best available science” regarding the general location of shrubsteppe and eastside steppe in Washington.

This dataset consists of UAS flight images from three sites along an elevation and precipitation gradient within Reynolds Creek Experimental Watershed collected between June 4 and July 9, 2019. The lowest elevation site ('wbs1', 1,425 m) was vegetated by shrub steppe dominated Wyoming big sage (Artemisia tridentata ssp. wyomingensis). Vegetation at the middle elevation site ('los1', 1,680 m) was shrub steppe dominated by low sage (Artemisia arbuscula). Shrub steppe at the highest elevation site ('mbs1', 2,110 m) was dominated by mountain big sage (Artemisia tridentata ssp. vaseyana) and Utah snowberry (Symphoricarpos oreophilus utahensis). A MicaSense RedEdge 3 sensor mounted on a DJI Matrice 600 Pro UAS platform was used to collect multispectral imagery of each site. The drone was flown by a Federal Aviation Administration (FAA) Part 107 certified remote pilot between June 5 and July 9 2019. All flights were completed within two hours of solar noon. The RedEdge is a broadband multispectral sensor: blue (475nm), green (560nm), red (668nm), red edge (717nm), and near-infrared (840nm). The RedEdge sensor was radiometrically calibrated using a reflectance panel before and after each flight. A DJI Phantom 4 with the stock FC330 Red Green Blue (sRGB) camera was flown over each site to collect imagery at a finer spatial resolution to assist with training and test data for vegetation type classification.

Simulated rainfall and overland-flow experiments are useful for enhancing understanding of surface hydrologic and erosion processes, quantifying runoff and erosion rates, and developing and testing predictive quantitative models. This extensive dataset (1021 experimental plots) consists of rainfall simulation (1300 plot runs, 0.5 m2 to 13 m2 scales) and overland flow (838 plot runs, ~9 m2 scale) experimental plot data coupled with associated measures of vegetation, ground cover, and surface soil properties across point to hillslope scales. The data were collected at three woodland-encroached sagebrush (Artemisia spp.) rangelands in the Great Basin, USA, under undisturbed/untreated conditions and 1 yr to 9 yr following fire and/or mechanical tree-removal treatments. The methodology employed and resulting experimental data contribute to quantifying and understanding scale-dependent surface hydrologic and erosion processes for Great Basin woodlands and sagebrush rangelands before and after tree removal and for sparsely vegetated sites elsewhere. The dataset is a valuable source for developing and testing hydrology and erosion models for applications to diverse vegetation and ground cover conditions. Lastly, the series of repeated measures in the dataset for some sites over time provides a valuable dataset for exploring long-term landscape vegetation and hydrologic and erosion responses to various land management practices and disturbances. The resulting collective dataset of 1021 experimental plots contains vegetation, ground cover, soils, hydrology, and erosion data collected across multiple spatial scales, diverse cover and surface conditions, three study sites, and five different study years. The collective dataset contains 57 plots at the hillslope scale (site characterization plots), 528 small-rainfall plots, 146 large-rainfall plots, and 290 overland-flow plots. The hydrology and erosion experiments yielded time series datasets for small-rainfall plot, large-rainfall plot, and overland-flow plot simulations. Some time series hydrographs and sedigraphs from rainfall and overland flow simulations were excluded due to various equipment failures. The final time series datasets consist of 1020 small-rainfall, 280 large-rainfall, and 838 overland-flow plot run hydrographs and sedigraphs, not excluding plots without runoff. Restricting the data to plots that generated runoff results in 749 small-rainfall, 251 large-rainfall, and 719 overland-flow plot simulation hydrographs and sedigraphs. Overall, the hydrology and erosion time series dataset amounts to 2138 hydrographs/sedigraphs including plots with zero runoff and 1719 hydrographs/sedigraphs for plots that generated runoff. Field experiments and data management were conducted as part of the Sagebrush Steppe Treatment Evaluation Project (SageSTEP, (www.sagestep.org) funded by the US Joint Fire Science Program, US Department of Interior (USDI) Bureau of Land Management, and US National Interagency Fire Center. This dataset is contribution number 134 of the Sagebrush Steppe Treatment Evaluation Project. See README file for information regarding experimental design and methods.