{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Heather Parks", "hasEmail": "mailto:hparks@usgs.gov"}, "description": "This zip file contains geodatabases with raster mosaic datasets. The raster mosaic datasets consist of georeferenced tiff images of mineral potential maps, their associated metadata, and descriptive information about the images. These images are duplicates of the images found in the georeferenced tiff images zip file.  There are four geodatabases containing the raster mosaic datasets, one for each of the four SaMiRA report areas: North-Central Montana; North-Central Idaho; Southwestern and South-Central Wyoming and Bear River Watershed; and Nevada Borderlands. The georeferenced images were clipped to the extent of the map and all explanatory text, gathered from map explanations or report text was imported into the raster mosaic dataset database as \u2018Footprint\u2019 layer attributes. The data compiled into the 'Footprint' layer tables contains the figure caption from the original map, online linkage to the source report when available, and information on the assessed commodities according to the legal definition of mineral resources\u2014metallic, non-metallic, leasable non-fuel, leasable fuel, geothermal, paleontological, and saleable.\nTo use the raster mosaic datasets in ArcMap, click on \u201cadd data\u201d, double click on the [filename].gdb, and add the item titled [filename]_raster_mosaic. This will add all of the images within the geodatabase as part of the raster mosaic dataset. Once added to ArcMap, the raster mosaic dataset appears as a group of three layers under the mosaic dataset. The first item in the group is the \u2018Boundary\u2019, which contains a single polygon representing the extent of all images in the dataset. The second item is the \u2018Footprint\u2019, which contains polygons representing the extent of each individual image in the dataset. The \u2018Footprint\u2019 layer also contains the attribute table data associated with each of the images. The third item is the \u2018Image\u2019 layer and contains the images in the dataset. The images are overlapping and must be selected and locked, or queried in order to be viewed one at a time. Images can be selected from the attribute table, or can be selected using the direct select tool. When using the direct select tool, you will need to deselect the \u2018overviews\u2019 after clicking on an image or group of images. To do this, right click on the \u2018Footprint\u2019 layer and hover over \u2018Selection\u2019, then click \u2018Reselect Only Primary Rasters\u2019. To lock a selected image after selecting it, right-click on the \u2018Footprint\u2019 layer in the table of contents window and hover over \u2018Selection\u2019, then click \u2018Lock To Selected Rasters\u2019. Another way to view a single image is to run a definition query on the image. This is done by right clicking on the raster mosaic in the table of contents and opening the layer properties box. Then click on the \u2018Definition Query\u2019 tab and create a query for the desired image.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "http://dx.doi.org/10.5066/F7736P0C", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", "title": "Digital Data"}, {"@type": "dcat:Distribution", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.579a5961e4b0589fa1c8712e.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_579a5961e4b0589fa1c8712e", "keyword": ["Montana", "Mineral-resource assessment", "United States", "Wyoming", "Utah", "USGS:579a5961e4b0589fa1c8712e", "Nevada", "Idaho", "Oregon"], "modified": "2020-08-21T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "theme": ["geospatial"], "title": "Previous mineral-resource assessment data compilation - geodatabases with raster mosaic datasets"}