ABSTRACT:

This resource accompanies a manuscript in preparation for peer-reviewed publication. It contains:
- the impact-curve and Area Under the Curve Ratio (AUCR) results for every fire-site pair and post-fire period
- the fire-site pair and site tables
- the global envelope test results (one-sided and in both directions)
- the R code that implements the impact-curve algorithm, the circular block bootstrap, the AUCR and the global envelope test
- the R code for every statistical analysis reported in the manuscript

The candidate fire-site pairs were identified with RIO-FINDER (Tunby and González-Pinzón, 2026, *Environ. Model. Softw.*, 107063; HydroShare resource https://doi.org/10.4211/hs.81a7609e5a514b45aefcba032136e79c). Raw high-frequency time series are available from the USGS National Water Information System (https://waterdata.usgs.gov/nwis). Fire perimeters and burn severity are available from Monitoring Trends in Burn Severity (https://www.mtbs.gov).

ABSTRACT:

The River Integrated Observations for Fire-Impacted Network Discovery and Evaluation in R (RIO-FINDER), an open-source framework and application that links four decades of wildfire data with high-resolution hydrologic observations across the coterminous United States (CONUS). We integrate fire data from the Monitoring Trends in Burn Severity (MTBS) and high-resolution hydrology observations from the US Geological Survey’s National Water Information System (NWIS) through the National Hydrography Dataset Plus (NHDPlus) stream network. This application utilizes the Shiny R package to create an interactive application for visualizing, querying, and exporting custom subsets of the larger dataset. It also features a standalone tool for on-demand assessments of newly burned watersheds, requiring only a user-supplied fire perimeter shapefile.

RIO-FINDER lowers the barrier to discovering existing water quantity and quality datasets of fire-impacted rivers in the conterminous US, supporting the design of targeted pre- and post-fire monitoring campaigns and a timely understanding of fire impacts on fluvial networks at large spatiotemporal scales.

The repository contains the RIO-FINDER application and the accompanying datasets for the CONUS scale dataset of fire-river intersections, and the script used for completing single-fire RAPID analysis. The README file contains the instructions for installing R and RStudio and how to run R scripts for both applications.

ABSTRACT:

This resources has river solute tracer research data from late 1900s to date. it is a continuous compilation of all river solute tracer data we can get and consolidate for better and ease with research use