These data are derived from groundwater wells in western Montana, and daily runoff data summarized for their corresponding huc8 watershed. The datasets are described in Holden et al. (in press) in the journal Scientific Reports.mt_runoff_huc8_1981-2024.csv contains daily mean huc8 runoff values extracted for each huc8 watershed in western Montana. mt_wells_topo_huc.csv contains well locations with extracted terrain covariates.The file lmer-well-prediction-recharge-lme4.rmd contains R code for fitting mixed effects models described in the study.

This shapefile contains summaries of habitat condition indices (HCI scores) from the National Fish Habitat Action Plan (NFHAP) 2010 National Assessments for 8 digit Hydrological Unit Codes (HUC8s) of the United States. Initial HCI scores were developed in three separate assessments (Conterminous U.S., Hawaii, and Alaska) due to differences in data availability across these regions. In the initial NFHAP 2010 Alaska assessment HCI values were attributed to HUC12s. For this reason, to summarize data into HUC8s for Alaska an area-weighted average was used (i.e. the cumulative HCI score assigned to each HUC12 within a HUC8 was weighted by reach area using the formula (H1*A1+H2*A2...+HX*AX)/(A1+A2...+AX) where H = HCI score of the HUC12 and A = Area of the HUC12). To summarize data into HUC8s for the Conterminous United States and Hawaii a length-weighted average was used (i.e. the cumulative HCI score assigned to each river reach within a HUC was weighted by reach length using the formula (H1*L1+H2*L2...+HX*LX)/(L1+L2...+LX) where H = reach HCI score and L = reach length). Although data from all three assessments are summarized to HUC8s in this shapefile, it is important that values are not compared across assessment regions. More information on the three assessments can be found at the following links: Conterminous United States (http://dx.doi.org/doi:10.5066/F7B56GN1) ; Alaska (http://dx.doi.org/doi:10.5066/F7KD1VWD); Hawaii (http://dx.doi.org/doi:10.5066/F7V9863B).

These data were used to examine how post-fire sedimentation might change in western USA watersheds with future fire from the decade of 2001-10 through 2041-50. The data include previously published projections (Hawbaker and Zhu, 2012a, b) of areas burned by future wildfires for several climate change scenarios and general circulation models (GCMs) that we summarized for 471 watersheds of the western USA. The data also include previously published predictions (Miller et al., 2011) of first year post-fire hillslope soil erosion from GeoWEPP that we summarized for 471 watersheds of the western USA. We synthesized these summarized data in order to project sediment yield from future fires for 471 watersheds through the year 2050 at the hydrologic unit 8 (HUC8) scale. The detailed methods, results, and original data sources (i.e.: Hawbaker and Zhu, 2012a, b; Miller et al., 2011) were reported in the manuscript.