Create datasets to upload and publish data. Further organize your data using folders and assign metadata at both the file and dataset level.
ADMMR map collection: Claim Map of Copper Flat Group; 1 in. to 1200 feet; 24 x 20 in. http://datadiscoverystudio.org/geoportal/rest/metadata/item/8b44eaafa618438aabd75ef8373b304e/html
ADMMR map collection: Christmas Copper Mine Topographic and Geologic Map; 1 in. to 200 feet; 36 x 24 in. http://datadiscoverystudio.org/geoportal/rest/metadata/item/4ac21ce4ea814098a5649fab747e2636/html
GIS data for ArcInfo and ArcView for the NY Bedrock Geology Map of the Adirondack. Bedrock geology of NYS. The state is tiled into five regions. Each region corresponds with the original map sheet. These datasets replace the older version in which the state was tiled into ten regions. 1:250,000 scale data. UTM Zone 18, NAD27. http://datadiscoverystudio.org/geoportal/rest/metadata/item/33edebeef0f546b393da59dcde4a95af/html
Product Specifications Coverage: Partial coverage, predominantly in northern Australia, along major transport routes, and other selected areas. About 1000 maps have been published to date. Currency: Ranges from 1968 to 2006. Coordinates: Geographical and UTM. Datum: AGD66, new edition WGS84; AHD. Projection: Universal Transverse Mercator UTM. Medium: Paper, flat copies only. http://datadiscoverystudio.org/geoportal/rest/metadata/item/474e2fc382a84ae0af7c9b7d22b9127b/html
This rectangle encloses the area covered by the Southern Rockies Conservation Cooperative http://datadiscoverystudio.org/geoportal/rest/metadata/item/75ced131907c490dbffb1fbc197f302d/html
The inventory consists of Lake Erie sediment samples collected from cores and grab samples of the lake sediment just below the sediment water interface. The data collected for these samples includes sample location, water depth; percentages of sand, silt, and clay; field sample description; lake deposit thickness; glacial till thickness; depth to bedrock; bedrock elevation; and miscellaneous notes. http://datadiscoverystudio.org/geoportal/rest/metadata/item/9792350ea04b4ac19bc081650383c110/html
Legacy product - no abstract available http://datadiscoverystudio.org/geoportal/rest/metadata/item/378004f358734fdbb98371d10bb32ea1/html
This data set was acquired with a ship-based Gravimeter, Echosounder, and Magnetometer during Robert D. Conrad expedition RC1907 conducted in 1976 (Chief Scientist: Dr. Robert Embley). These data files are of MGD77 format and include Gravity Field, Singlebeam Bathymetry, and Magnetic Field data that were processed after data collection. Funding was provided by NSF grant(s): N00014-75-C-0210. http://datadiscoverystudio.org/geoportal/rest/metadata/item/0202581183364818ad467abbe7080874/html
A view of the pit at the Sanders Bentonite mine showing power equipment and an automobile. http://datadiscoverystudio.org/geoportal/rest/metadata/item/51740146e1b04f40b04a199f9f5e260d/html
no abstract provided http://datadiscoverystudio.org/geoportal/rest/metadata/item/ad63af145a984713b681e72599e0e8b8/html
This dataset portrays 61 forest group types across the southeastern United States. These data were derived from a product created by the USFS Forest Inventory and Analysis (FIA) program and the Remote Sensing Applications Center (RSAC). Â The original dataset (accessible from the US Forest Service Website) consists of 141 forest types across the contiguous United States. The original dataset was downloaded on 12/13/2013, clipped to the southeastern states, Â and used in a generalization procedure which involved the application of a majority filter (8 neighbors, half replacement threshold) followed by a sieving process which removed pixels in groups of four or less by reassigning them to their nearest neighbor value. Abstract: This dataset portrays 141 forest types across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data. The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis and Forest Health Monitoring programs and the USFS Remote Sensing Applications Center. Purpose: The purpose of this dataset is to portray broad distribution patterns of forest cover in the United States and provide input to national scale modeling projects. The data should not be displayed at scales smaller than 1:2,000,000. Independent accuracy assessments were conducted using a 10% holdout of the training data, and are available through the data source contact. Complete metadata is available on the USFS website in HTML format. http://datadiscoverystudio.org/geoportal/rest/metadata/item/e71a8cedb9d3463ea85c0bfc0540f96c/html
This tabular data set contains information on historic anthropogenic land use trends, compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is from the NAWQA Wall-to-Wall Anthropogenic Land Use Trends (NWALT) produced by James Falcone (USGS, 2015). The data provided here contains information for five time periods: 1974-1982-1992-2002-2012, compiled as described above. The units are percents. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2016). http://datadiscoverystudio.org/geoportal/rest/metadata/item/ecbdef5d25174b9d8568e9985391f12b/html
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