The dataset includes information to make Figures 1 through 6 of the manuscript. This dataset is associated with the following publication: Rajib, A., H. Golden, C. Lane, and Q. Wu. Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions. WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 56(7): e2019WR026561, (2020).

Output from model simulation runs and used for figures in the manuscript. An index for header terms can be found in the dataset. This dataset is associated with the following publication: Evenson, G., H. Golden, C. Lane, D. McLaughlin, and E. D'Amico. Depressional wetlands affect watershed hydrological, biogeochemical, and ecological functions. ECOLOGICAL APPLICATIONS. Ecological Society of America, Ithaca, NY, USA, 28(4): 953-966, (2018).

The dataset includes information to make Figures 2 through 6 of the manuscript.

The dataset includes information to make Figure 4 within the manuscript. This dataset is associated with the following publication: Golden, H., A. Rajib, C. Lane, J. Christensen, Q. Wu, and S. Mengistu. Non-floodplain Wetlands Affect Watershed Nutrient Dynamics: A Critical Review. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(13): 7203-7214, (2019).

Table of data used for statistical analyses. This dataset is associated with the following publication: Golden , H., H. Sander, C. Lane , C. Zhao, K. Price, E. D'Amico, and J. Christensen. Relative effects of geographically isolated wetlands on streamflow: a watershed-scale analysis. ECOHYDROLOGY. Wiley Interscience, Malden, MA, USA, 9(1): 21-38, (2016).

The dataset includes all the information necessary to re-create Figures 1 through 6 of the manuscript. This dataset is associated with the following publication: Evenson, G., H. Golden, J. Christensen, C. Lane, A. Rajib, E. DAmico, D. Mahoney, E. White, and Q. Wu. Wetland restoration yields dynamic nitrate responses across the Upper Mississippi river basin. Environmental Research Communications. IOP Publishing, PHILADELPHIA, PA, USA, 3(9): 095002, (2021).

The files and data included in this archive allow readers to inspect and reproduce the model results reported in Neff et al. (2020). Please refer to the included ReadMe file for a further explanation of individual files and step-by-step instructions for running the models.

Table of RBI metrics aggregated to each catchment. This dataset is associated with the following publication: Bousquin, J., and H. Kristen. A Geospatial Assessment of Flood Vulnerability Reduction by Freshwater Wetlands – A Benefit Indicators Approach. Frontiers in Environmental Science. Frontiers, Lausanne, SWITZERLAND, 7: 54, (2019).

Groundwater and estuary water levels near Mill Creek and the Herring River in Wellfleet, Massachusetts, were measured from June 2017 to August 2022. The data contained in these datasets consist of tables of updated statistics provided in the original work by Mullaney and others (2020, Appendix 2) and associated data release by Mullaney and Barclay (2020). The data include summary tables of water-level statistics and summary tables of updated statistical coefficients for the models in the original work. The data release also includes the underlying input data sets for these statistical regression models and an update of table 2 from the larger work, which consists of summary statistics of water levels for the period of data analysis from 2017-06-01 to 2022-08-05. Mullaney, J.R., and Barclay, J.R., 2020, Data on Tidally Filtered Groundwater and Estuary Water Levels, and Climatological Data Near Mill Creek and the Herring River, Cape Cod, Wellfleet, Massachusetts, 2017-2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9T167II. Mullaney, J.R., Barclay, J.R., Laabs, K.L., and Lavallee, K.D., 2020, Hydrogeology and interactions of groundwater and surface water near Mill Creek and the Herring River, Wellfleet, Massachusetts, 2017–18: U.S. Geological Survey Scientific Investigations Report 2019–5145, 60 p., https://doi.org/10.3133/sir20195145.

This model archive contains R source code for the Weighted-Multiple Linear Regression Program (WREG), input files, and associated output files needed to recreate regression models that are discussed in the report: Levin, S.B. and Sanocki, C.A., Methods for estimating flood magnitude and frequency for unregulated streams in Wisconsin, U.S. Geological Survey Scientific Investigations Report 2022-5118 (https://doi.org/10.3133/sir20225118). More information and instructions for running the model archive are included in the README.txt file. Information regarding the WREG program can be found at: https://water.usgs.gov/software/WREG/.