Jaenicke, Margaret E. Hopkins, Anders L. Kowalski, Kurt P. Bozimowski, Alexandra A. Sanocki, Chris A. 202406 vector digital data Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9PW0UQ6 U.S. Geological Survey 2016 vector and raster digital data Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9UAA4HY The US Geological Survey (USGS) created the Dikes dataset (version 2.0) as ancillary layer in the Western Lake Erie Restoration Assessment (WLERA) which covers the southwestern shore of Lake Erie. WLERA is a part of the USGS's Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative where coastal areas around the Great Lakes are identified and ranked for potential wetland restoration. The dikes dataset was created to identify human made and naturally occurring dikes or berms which have the potential to block the flow of water between Lake Erie and wetland habits. These potential dikes were outlined by selecting all the areas within the WLERA study area with a slope greater than 12 degrees (derived from the DEM created for WLERA). For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/. The geospatial data layer within this data release will be used in a publicly accessible web mapping application to provide natural resource managers a tool to make informed decisions regarding coastal wetland restoration in the Great Lakes. The following updates were made to the data in WLERA Dikes 2024 (Jaenicke et al., 2024) from the WLERA Dikes 2016 data release (Saarinen, 2016) : - Used a more up-to-date and higher resolution DEM dataset - Created new metadata file with descriptive summary and process steps 2024 publication date Complete None planned -83.6948 -82.1113 42.1087 41.2679 ISO 19115 Topic Category environment geoscientificInformation inlandWaters Marine Realms Information Bank (MRIB) keywords lake resource management wetland wetland restoration stream river hydrology USGS Thesaurus hydrology natural resource management water quality remediation wetland ecosystems Holocene Common geographic areas Great Lakes Ohio Michigan Lake Erie Western Lake Erie None. Please see 'Distribution Info' for details. None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. Kurt P Kowalski U.S. Geological Survey, MIDCONTINENT REGION Research Ecologist mailing address

1451 Green Rd

Ann Arbor MI 48105 US 734-214-9308 734-994-8780 kkowalski@usgs.gov The GLCWRA was produced with funding provided by the Great Lakes Restoration Initiative (GLRI) and in collaboration with the New College of Florida. Digital datasets obtained from public repositories and datasets including the National Hydrography Dataset (NHD), National Wetland Index (NWI), 3D Elevation Program (3DEP), U.S. Census Bureau, National Geospatial Program, U.S. Fish and Wildlife Service, National Oceanic and Atmospheric Association (NOAA), Protected Areas Database of the U.S. (PAD-US), National Land Cover Database (NLDC), Gridded Soil Survey Geographic Database (gSSURGO), Coastal Change Analysis Program (C-CAP). U.S. Geological Survey 2016 application/service Geonarrative map website for GLCWRA study https://glcwra.wim.usgs.gov/ Justin A. Saarinen Kurt P Kowalski 2016 dataset https://www.sciencebase.gov U.S. Geological Survey Previous release of data. See "Supplemental Information" for more context. https://doi.org/10.5066/f7w9579m The attribute values of this dataset were inspected and confirmed to be within the proper range of values. The attribute values were reviewed, and spatial data was visually inspected to verify the that the data values and their locations accurately describe the purpose of the data. This dataset is considered complete for the information presented, as described in the abstract. This dataset provides coverage for the entire Western Lake Erie Restoration Assessment study area. Approximately 20% of the spatial data was visually inspected to verify the positional accuracy of its features. The review consisted of comparing the spatial data to its input datasets and to underlying GIS basemaps. While this data has been reviewed, the spatial data is only as spatially accurate as the input data sources. This dataset does not have a vertical component, so testing for vertical accuracy was not necessary. ESRI 20210405 remote-sensing image https://services.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer Digital 20210405 publication date ESRI World Imagery Satellite imagery from ESRI was used to select functioning wetlands from the NWI dataset. Google Maps 2023 remote-sensing image https://www.google.com/maps/@42.4954939,-82.7315711,203785m/data=!3m1!1e3?entry=ttu Digital 2023 publication date Google Satellite Imagery Satellite imagery from Google Maps was used to select functioning wetlands from the NWI dataset. These dataset were used during the month of October 2023. U. S. Geological Survey 20230307 vector digital data Hydrological Units (HU) used: 8 - 04100001 (NHD_H_04100001_HU8_GDB) 8 - 04100002 (NHD_H_04100002_HU8_GDB) 8 - 04100009 (NHD_H_04100009_HU8_GDB) 8 - 04100010 (NHD_H_04100010_HU8_GDB) 8 - 04100011 (NHD_H_04100011_HU8_GDB) 8 - 04100012 (NHD_H_04100012_HU8_GDB) 8 - 04100013 (NHD_H_04100013_HU8_GDB) 8 - 04110001 (NHD_H_04110001_HU8_GDB) 8 - 04260000 (NHD_H_04160000_HU8_GDB) https://www.usgs.gov/national-hydrography/national-hydrography-dataset Digital and/or Hardcopy 20230307 publication date NHD Flowlines Identified the centerlines of stream segments or reaches that make up the nation's surface water drainage system. NHDFlowline features consist of categories stream/river, artificial path, canal/ditch, pipeline, connector, underground conduit, and coastline. U.S. Geological Survey 2011 raster digital data ned19_n41x25_w082x25_oh_north_2006 ned19_n41x25_w082x50_oh_north_2006 ned19_n41x25_w082x75_oh_north_2006 ned19_n41x25_w083x00_oh_north_2006 ned19_n41x25_w083x25_oh_north_2006 ned19_n41x25_w083x50_oh_north_2006 ned19_n41x25_w083x75_oh_north_2006 ned19_n41x25_w084x00_oh_north_2006 ned19_n41x25_w084x25_oh_north_2006 ned19_n41x25_w084x50_oh_north_2006 ned19_n41x25_w084x75_oh_north_2006 ned19_n41x50_w082x00_oh_north_2006 ned19_n41x50_w082x25_oh_north_2006 ned19_n41x50_w082x50_oh_north_2006 ned19_n41x50_w082x75_oh_north_2006 ned19_n41x50_w083x00_oh_north_2006 ned19_n41x50_w083x25_oh_north_2006 ned19_n41x50_w083x50_oh_north_2006 ned19_n41x50_w083x75_oh_north_2006 ned19_n41x50_w084x00_oh_north_2006 ned19_n41x50_w084x25_oh_north_2006 ned19_n41x50_w084x50_oh_north_2006 ned19_n41x75_w082x00_oh_north_2006 ned19_n41x75_w082x25_oh_north_2006 ned19_n41x75_w082x75_oh_north_2006 ned19_n41x75_w083x00_oh_north_2006 ned19_n41x75_w083x25_oh_north_2006 ned19_n41x75_w083x50_mi_monroeco_2009 ned19_n41x75_w083x50_oh_north_2006 ned19_n41x75_w083x75_mi_monroeco_2009 ned19_n41x75_w083x75_oh_north_2006 ned19_n41x75_w084x00_mi_3southerncounties_2010 ned19_n41x75_w084x00_mi_monroeco_2009 ned19_n41x75_w084x00_oh_north_2006 ned19_n41x75_w084x25_mi_3southerncounties_2010 ned19_n41x75_w084x25_oh_north_2006 ned19_n41x75_w084x50_mi_3southerncounties_2010 ned19_n41x75_w084x50_oh_north_2006 ned19_n42x00_w083x25_mi_monroeco_2009 ned19_n42x00_w083x50_mi_monroeco_2009 ned19_n42x00_w083x75_mi_3southerncounties_2010 ned19_n42x00_w083x75_mi_monroeco_2009 ned19_n42x00_w084x00_mi_3southerncounties_2010 ned19_n42x00_w084x00_mi_monroeco_2009 ned19_n42x25_w083x25_mi_monroeco_2009 ned19_n42x25_w083x25_mi_wayneco_2009 ned19_n42x25_w083x50_mi_monroeco_2009 ned19_n42x25_w083x50_mi_wayneco_2009 ned19_n42x25_w083x75_mi_monroeco_2009 ned19_n42x25_w083x75_mi_washtenawco_2009 ned19_n42x25_w083x75_mi_wayneco_2009 ned19_n42x25_w084x00_mi_3southerncounties_2010 ned19_n42x25_w084x00_mi_monroeco_2009 ned19_n42x25_w084x00_mi_washtenawco_2009 ned19_n42x25_w084x25_mi_3southerncounties_2010 ned19_n42x25_w084x25_mi_washtenawco_2009 ned19_n42x25_w084x50_mi_3southerncounties_2010 https://gdg.sc.egov.usda.gov/Catalog/ProductDescription/NED.html https://apps.nationalmap.gov/viewer/ Digital 2005 2010 observed WLERA DEM The DEM data provided an elevation raster from which the hydroperiod dataset was created. With ArcGIS Pro 3.0.3, a slope raster was created from the WLERA 10-meter DEM using the "Slope" tool (Output measurement = Degree and Method = Planar). Areas where the slopes were greater than 12 degrees were extracted with the "Extract by Attributes" tool. Then the extracted slope raster was converted to a polygon layer with the "Raster to Polygon" tool (Simplify polygons = True, CRS = UTM 17N). 20230911 Next, QA/QC was performed on the spatial data. The dikes polygon layer was examined to find instances of NHD flowlines intersecting with the dike polygons. In the case of an intersection, dike features were split along the flowlines and the smaller section of the dike feature was removed. If a culvert was present at an intersection between dikes and flowlines, the dike feature was left intact. After entire dataset was inspected and edited in this manner, the polygon layer was clipped to the WLERA study area and saved as a shapefile. 20230923 Vector G-polygon 3641 Universal Transverse Mercator 17 0.9996 -81.0 0.0 500000.0 0.0 coordinate pair 0.6096 0.6096 meters North_American_Datum_1983 GRS 1980 6378137.0 298.257222101 WLERA_dikes.shp A geospatial dataset (in shapefile format) representing the locations of dikes within the WLERA study area. Producer Defined FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Shape type. Id Primary key. Producer Defined Sequential unique identification number This data release includes a zip file named "WLERA_dikes.zip" containing a polygon shapefile and associated metadata. NA GS ScienceBase U.S. Geological Survey mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Digital Data https://doi.org/10.5066/P9PW0UQ6 None 20240515 Kurt P Kowalski U.S. Geological Survey, MIDCONTINENT REGION Research Ecologist mailing address

1451 Green Rd

Ann Arbor MI 48105 US 734-214-9308 734-994-8780 kkowalski@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998