Jaenicke, Margaret E. Hopkins, Anders L. Kowalski, Kurt P. Bozimowski, Alexandra (Sasha) A. Sanocki, Chris A. 2024 vector digital data Reston, VA U.S. Geological Survey Jaenicke, M.E., Hopkins, A.L., Kowalski, K.P., Bozimowski, A.A., and Sanocki, C.A., 2024, Saginaw Bay Restoration Assessment: Culverts (version 2.0): U.S. Geological Survey data release, https://doi.org/10.5066/P92W7VZ8. https://doi.org/10.5066/P92W7VZ8 U.S. Geological Survey 2016 vector and raster digital data Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9UAA4HY The Saginaw Bay Restoration Assessment (SBRA) Culverts dataset was calculated as part of the U.S. Geological Survey's (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative where coastal wetlands around the Great Lakes were identified and ranked for potential wetland restoration. This dataset was defined by the intersection of the TIGER roads and railways datasets with the National Hydrography Dataset (NHD) streams dataset, representing likely locations of culverts within the SBRA Study Area. See full data release documentation and and https://glcwra.wim.usgs.gov/ for further information. This point layer indicates potential locations of culverts and other hydraulic control structures. This layer is important to understand the hydrologic connection between the coastal area and Lake Huron. This dataset is not meant to be an exhaustive catalog of all culverts within the study area, rather only the ones through which NHD streams flow. The original data used to make this layer are the National Hydrography Dataset and TIGER/line Roads. This dataset was used as an input data source in the SBRA Degree Flowlines dataset. The purpose for releasing version 2.0 of these datasets is that they were created with more recent and more accurate input data. For changes between versions 1.0 and 2.0, please see the Release History text file. 2024 publication date Complete None planned -84.2018 -82.5388 44.5302 43.1200 ISO 19115 Topic Category environment geoscientificInformation inlandWaters Marine Realms Information Bank (MRIB) keywords lake lakeshore wetland wetland restoration stream river hydrology resource management USGS Thesaurus hydrology natural resource management water quality remediation wetland ecosystems Holocene Common geographic areas Great Lakes Lake Huron Saginaw Michigan 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/ 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 Saginaw Bay 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/@41.7410276,-82.990953,134833m/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. Census Bureau 20200523 vector digital data http://www2.census.gov/geo/tiger/TIGER2020/RAILS/tl_2020_us_rails.zip Digital and/or Hardcopy 20200523 publication date Tiger Railways Identified all railway lines in the SBRA Study Area. U. S. Census Bureau 2021 vector digital data Counties downloaded: Iosco, Arenac, Bay, Saginaw, Tuscola, Huron, Sanilac https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2021&layergroup=Roads Digital and/or Hardcopy 2021 publication date Tiger Roads Identified all roads in the SBRA Study Area. U. S. Geological Survey 20230307 vector digital data Hydrological Units (HU) used: 0407, 0408. https://www.usgs.gov/national-hydrography/national-hydrography-dataset Digital and/or Hardcopy 20230307 publication date NHD Flowlines Identified the location of streams and rivers within the study area. Using ArcGIS Pro 3.0.3, the NHD Flowlines, TIGER/Line roads, and TIGER/line railroads were clipped to the SBRA Study Area and projected to NAD 83 UTM Zone 17N. The TIGER/line roads and railroads were merged using the "Merge" tool. And then the NHD Flowlines layers were merged using the "Merge" tool. The environment was set to the NAD83 UTM Zone 17N coordinate system. 20230918 Then, the "Intersect" tool was used to create a point layer that represents the intersections between the road/railroad layer and NHD flowlines layer. The environment to the NAD83 UTM Zone 17N coordinate system. Points were visually inspected to ensure validity. The layer was exported as a shapefile, and, in the process, unnecessary fields were removed and Z and M values were disabled. 20230919 All points created through this intersection process were manually reviewed alongside Google Earth imagery to decipher validity. If a point represented a bridge (greater than 6 meters in length) rather than a true culvert, the point was deleted as flow is not impacted. Similarly, multiple points created by an intersection with a multi-lane road or railroad that visibly had only a single culvert running underneath were simplified down to a single point (or however many were visible at the intersection). 20231020 Vector Entity point 2197 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 SBRA_Culverts.shp A vector dataset (in shapefile format) representing the location of culverts in the SBRA 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 whole numbers that are automatically generated. SBRA_Culverts.zip contains a multipoint shapefile (SBRA_Culverts.shp) and associated metadata (SBRA_Culverts.shp.xml). 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/P92W7VZ8 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