Links are provided for the National Wetlands Inventory, National Hydrography Dataset, and the WorldClim-Global Climate Data source data websites. This dataset is associated with the following publication: Lane , C., and E. D'Amico. Identification of Putative Geographically Isolated Wetlands of the Conterminous United States. JAWRA. American Water Resources Association, Middleburg, VA, USA, online, (2016).

This data set represents the extent and approximate location of GIWs, also known as non-floodplain wetlands (NFWs), in the conterminous United States. NWI lacustrine systems and palustrine wetlands were determined to be “isolated” based on their geographic location (i.e., unconnected, based on a distance measure, to specific classes of NHD aquatic systems). GIWs were here considered geographically isolated when they were outside of 10 meters from select NHD lines and polygons or were not adjacent to NWI Riverine or Estuarine wetlands and (where applicable) outside of 10 meters from a coastline (e.g., oceans or Great Lakes).

This data set represents the extent and approximate location of GIWs, also known as non-floodplain wetlands (NFWs), in the conterminous United States. NWI lacustrine systems and palustrine wetlands were determined to be “isolated” based on their geographic location (i.e., unconnected, based on a distance measure, to specific classes of NHD aquatic systems). GIWs were here considered geographically isolated when they were outside of 10 meters from select NHD lines and polygons or were not adjacent to NWI Riverine or Estuarine wetlands and (where applicable) outside of 10 meters from a coastline (e.g., oceans or Great Lakes).

Data for "An improved representation of geographically isolated wetlands in a watershed-scale hydrologic model". This dataset is associated with the following publication: Evenson, G., H. Golden, C. Lane, and E. D'Amico. An improved representation of geographically isolated wetlands in a watershed-scale hydrologic model. Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA, online, (2016).

This database, compiled by Matthews and Fung (1987), provides information on the distribution and environmental characteristics of natural wetlands. The database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. The original data consists of five global 1-degree latitude by 1-degree longitude arrays. This subset, for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America, retains all five arrays at the 1-degree resolution but only for the area of interest (i.e., longitude 85 deg to 30 deg W, latitude 25 deg S to 10 deg N). The arrays are (1) wetland data source, (2) wetland type, (3) fractional inundation, (4) vegetation type, and (5) soil type. The data subsets are in both ASCII GRID and binary image file formats.The data base is the result of the integration of three independent digital sources: (1) vegetation classified according to the United Nations Educational Scientific and Cultural Organization (UNESCO) system (Matthews, 1983), (2) soil properties from the Food and Agriculture Organization (FAO) soil maps (Zobler, 1986), and (3) fractional inundation in each 1-degree cell compiled from a global map survey of Operational Navigation Charts (ONC). With vegetation, soil, and inundation characteristics of each wetland site identified, the data base has been used for a coherent and systematic estimate of methane emissions from wetlands and for an analysis of the causes for uncertainties in the emission estimate.The complete global data base is available from NASA/GISS [http://www.giss.nasa.gov] and NCAR data set ds765.5 [http://www.ncar.ucar.edu]; the global vegetation types data are available from ORNL DAAC [http://www.daac.ornl.gov].

All data in this paper was acquired via publicly available sites and processed as described in the manuscript. The following data links are provided: Spatial Flood Extent data available from the USGS (Morlock et al. 2008). https://pubs.usgs.gov/of/2008/1322/ National Wetlands Inventory data available from the US FWS https://www.fws.gov/wetlands/data/Mapper.html National Hydrography Dataset available from the USGS (National Hydrography product page) https://www.usgs.gov/core-science-systems/ngp/national-hydrography/access-national-hydrography-products Federal Emergency Management Agency flood insurance data https://www.fema.gov/data-feeds Soil-Based Floodplain Map (Sangwan and Merwade 2015) https://purr.purdue.edu/publications/2430/1. This dataset is associated with the following publication: Lane, C., A. Hall, E. D'Amico, N. Sangwan, and V. Merwade. Characterizing the Extent of Spatially Integrated Floodplain and Wetland Systems in the White River, Indiana, USA. JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 53(4): 774-790, (2017).

This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin. This base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.

This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin. This base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.

These data are processed Landsat images. This dataset is not publicly accessible because: The dataset is too large for Sciencehub upload. It can be accessed through the following means: Please contact Laurie Alexander, alexander.laurie@epa.gov. Format: These data are in OLI Full Resolution Browse (FRB) format. This dataset is associated with the following publication: Vanderhoof , M., and L. Alexander. The Role of Lake Expansion in Altering the Wetland Landscape of the Prairie Pothole Region, United States. WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 36(Suppl 2): S309-S321, (2016).

Clean Water Act (CWA) coverage extends to certain wetlands, including those with a continuous surface connection to relatively permanent tributaries. However, limited information is available to estimate the national extent of wetlands potentially afforded CWA coverage. To address this data gap, we identified conterminous US (CONUS) palustrine wetlands connected by an exploratory 150-m buffer to a high-resolution CONUS-wide stream network hydrography dataset, a reasonable and defensible proxy for a continuous surface connection between wetlands and relatively permanent waters. Nationally, 79% (23.1 Mha) or 66% (19.3 Mha) of the nation's CONUS freshwater palustrine wetlands are potentially connected to the stream network, depending on whether a more inclusive or exclusive flow permanence network is analyzed. Conversely, 21% (6.1 Mha, roughly the area of West Virginia) or 34% (9.9 Mha, greater area than Indiana) of CONUS wetlands may be outside this buffer. Results for individual states varied widely based on stream and wetland density. States with a low relatively permanent stream density had fewer buffer-connected wetland resources (e.g., 21% in North Dakota). Similarly, wetlands in southwestern states and other states with abundant ephemerally flowing streams were also not connected via the applied buffer. Geospatial data limitations and assumptions (e.g., omission errors, presumed presence of a surface connection) suggest the estimated extent of wetlands with potential continuous surface connections to federally covered waters are likely to be substantially smaller than reported here. Nonetheless, the analyses herein provide insights for local, state, and tribal stakeholders to consider in managing their wetland resources. This dataset is associated with the following publication: Lane, C., E. D'Amico, J. Christensen, K. Fritz, and H. Golden. Linking wetlands to relatively permanent flowing waters: a conterminous United States geospatial analysis. Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V., GERMANY, 33: 30, (2025).