Set of all the USGS 24k Quadrangle maps that intersect Eaton County, Michigan.The quadrangles included are Aurelius, Bellevue, Charlotte, Chester, Dimondale, Duck Lake, Eagle, Eaton Rapids, Hoytville, Lansing North, Lansing South, Nashville, Needmore, Olivet, Onondaga, Portland South, Saubee Lake, Springport, Wacousta, and Woodbury. They are all the 2019 versions of the maps except Needmore, which is 2017. These maps were acquired by download from the National Map Viewer.https://www.usgs.gov/core-science-systems/ngp/tnm-delivery/ on 1/9/2020.

The 1:24,000-scale (24K) U.S. Geological Survey (USGS) quadrangle boundary data set contains the following information. (1) The approximate boundaries of the various 24K USGS quadrangles. (2) The names and indexing codes associated with each 24K quadrangle.Topo Quads MetadataMore Metadata

By using this data, you agree to the SEMCOG Copyright License Agreement. 1-foot elevation contour lines for Livingston County, Michigan, stored in file geodatabase format. Created from LiDAR data collected in 2017-2018.

This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Yavapai580B is located in T16N R2E Sec 28 NE in the Hickey Mountain - 7.5 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.

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description: PLSS Townships and Sections dataset current as of unknown. Public Land Survey Sections - originally created from USGS Topographic Maps.; abstract: PLSS Townships and Sections dataset current as of unknown. Public Land Survey Sections - originally created from USGS Topographic Maps.

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By using this data, you agree to the SEMCOG Copyright License Agreement.

This document explains one process for downloading LiDAR and DEM data for Southeast Michigan form the United States Geological Survey (USGS). This data was flown in 2017 and 2018, and is identical to the data that SEMCOG distributes. Full metadata for the LiDAR and DEM data is available for download at a link included within the document.

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This digital data release presents contour data from multiple subsurface geologic horizons as presented in previously published summaries of the regional subsurface configuration of the Michigan and Illinois Basins. The original maps that served as the source of the digital data within this geodatabase are from the Geological Society of America’s Decade of North American Geology project series, “The Geology of North America” volume D-2, chapter 13 “The Michigan Basin” and chapter 14 “Illinois Basin Region”. Contour maps in the original published chapters were generated from geophysical well logs (generally gamma-ray) and adapted from previously published contour maps. The published contour maps illustrated the distribution sedimentary strata within the Illinois and Michigan Basin in the context of the broad 1st order supercycles of L.L. Sloss including the Sauk, Tippecanoe, Kaskaskia, Absaroka, Zuni, and Tejas supersequences. Because these maps represent time-transgressive surfaces, contours frequently delineate the composite of multiple named sedimentary formations at once. Structure contour maps on the top of the Precambrian basement surface in both the Michigan and Illinois basins illustrate the general structural geometry which undergirds the sedimentary cover. Isopach maps of the Sauk 2 and 3, Tippecanoe 1 and 2, Kaskaskia 1 and 2, Absaroka, and Zuni sequences illustrate the broad distribution of sedimentary units in the Michigan Basin, as do isopach maps of the Sauk, Upper Sauk, Tippecanoe 1 and 2, Lower Kaskaskia 1, Upper Kaskaskia 1-Lower Kaskaskia 2, Kaskaskia 2, and Absaroka supersequences in the Illinois Basins. Isopach contours and structure contours were formatted and attributed as GIS data sets for use in digital form as part of U.S. Geological Survey’s ongoing effort to inventory, catalog, and release subsurface geologic data in geospatial form. This effort is part of a broad directive to develop 2D and 3D geologic information at detailed, national, and continental scales. This data approximates, but does not strictly follow the USGS National Cooperative Geologic Mapping Program's GeMS data structure schema for geologic maps. Structure contour lines and isopach contours for each supersequence are stored within separate “IsoValueLine” feature classes. These are distributed within a geographic information system geodatabase and are also saved as shapefiles. Contour data is provided in both feet and meters to maintain consistency with the original publication and for ease of use. Nonspatial tables define the data sources used, define terms used in the dataset, and describe the geologic units referenced herein. A tabular data dictionary describes the entity and attribute information for all attributes of the geospatial data and accompanying nonspatial tables.

The Digital Geologic-GIS Map of Isle Royale National Park and Vicinity, Michigan is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (isro_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (isro_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (isro_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (isro_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (isro_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (isro_geology_metadata_faq.pdf). Please read the isro_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (isro_geology_metadata.txt or isro_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Lake Michigan Michigan City Surface Temperature Contour Map (2022-present) cdm_data_type=Other infoUrl=https://coastwatch.glerl.noaa.gov/ institution=CoastWatch Great Lakes Node sourceUrl=(local files) subsetVariables=fileType

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Lake Michigan Central Region Surface Temperature Contour Map (2022-present) cdm_data_type=Other infoUrl=https://coastwatch.glerl.noaa.gov/ institution=CoastWatch Great Lakes Node sourceUrl=(local files) subsetVariables=fileType

Lake Michigan Beaver Island Surface Temperature Contour Map (2022-present) cdm_data_type=Other infoUrl=https://coastwatch.glerl.noaa.gov/ institution=CoastWatch Great Lakes Node sourceUrl=(local files) subsetVariables=fileType

The Geographic Names Information System (GNIS), developed by the U.S. Geological Survey in cooperation with the U.S. Board on Geographic Names (BGN), contains information about physical and cultural geographic features in the United States and associated areas, both current and historical, but not including roads and highways. The database also contains geographic names in Antarctica. The database holds the Federally recognized name of each feature and defines the location of the feature by state, county, USGS topographic map, and geographic coordinates. Other feature attributes include names or spellings other than the official name, feature designations, feature class, historical and descriptive information, and for some categories of features the geometric boundaries. The database assigns a unique feature identifier, a random number, that is a key for accessing, integrating, or reconciling GNIS data with other data sets. The GNIS is our Nation's official repository of domestic geographic feature names information. This database has been subsetted to include golf course and country club features only.

Mark Ebner (CORA), Bucko Teeple (CORA), and Mark Mackay (MI DNR, Lake Huron GIS Project) entered locations using digital 1:24k USGS DRG (Topographic Maps) Base Maps and attribution for each port (or landing). Reprojected from Michigan Georef to Decimal Degrees using the MI DNR Projection Extension.

These files contain rasterized topobathy lidar elevations generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is no...

The lake contours were digitized by a number of different sources, but largely through the GIS group at the Institute for Fisheries Research. Lakes are associated with a New Key, a unique identifier that is a combination of a country code with a unique lake code (Breck, 2004; Humphrys and Green, 1962). Each contour has a maximum and minimum depth. The minimum depth is the value of the contour line and the max value is either the value of the next deepest contour or the deepest point within the contour if there is no next deepest contour.