10,000+ results returned
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Title: Modeled Historical Monthly Precipitation Metrics, Wisconsin 1981-2010
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the historical downscaled climate data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across the 30-year period from 1981-2010. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). This historical climate data is a subset of the downscaling 'de-biasing' process where the 1950-2005 time period in the climate model is matched to the 1950-2009 in the observed station record. The slight mismatch in the climate and observed time period has negligible impact because climate change operates slowly over decades. Instead, it is more important that the climate record is long enough to 'average out' natural climate variability. More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Precipitation Metrics (RCP 4.5), Wisconsin 2021-2040
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2021-2040 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Precipitation Metrics (RCP 4.5), Wisconsin 2041-2060
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2041-2060 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Precipitation Metrics (RCP 4.5), Wisconsin 2061-2080
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2061-2080 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Precipitation Metrics (RCP 4.5), Wisconsin 2081-2100
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2081-2100 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Precipitation Metrics (RCP 8.5), Wisconsin 2021-2040
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2021-2040 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Precipitation Metrics (RCP 8.5), Wisconsin 2041-2060
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2041-2060 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Precipitation Metrics (RCP 8.5), Wisconsin 2061-2080
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2061-2080 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Precipitation Metrics (RCP 8.5), Wisconsin 2081-2100
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several precipitation metrics averaged by month across a 20-year period from 2081-2100 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average total monthly precipitation and inter-model standard deviation for total monthly precipitation precipitation. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the precipitation exceeds 1, 2, or 3 inches and days with no precipitation. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Historical Monthly Temperature Metrics, Wisconsin 1981-2010
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the historical downscaled climate data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across the 30-year period from 1981-2010. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). This historical climate data is a subset of the downscaling 'de-biasing' process where the 1950-2005 time period in the climate model is matched to the 1950-2009 in the observed station record. The slight mismatch in the climate and observed time period has negligible impact because climate change operates slowly over decades. Instead it is more important that the climate record is long enough to 'average out' natural climate variability. More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Temperature Metrics (RCP 4.5), Wisconsin 2021-2040
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2021-2040 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Temperature Metrics (RCP 4.5), Wisconsin 2041-2060
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2041-2060 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Temperature Metrics (RCP 4.5), Wisconsin 2061-2080
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2061-2080 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Temperature Metrics (RCP 4.5), Wisconsin 2081-2100
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2081-2100 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Temperature Metrics (RCP 8.5), Wisconsin 2021-2040
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2021-2040 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Temperature Metrics (RCP 8.5), Wisconsin 2041-2060
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2041-2060 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Temperature Metrics (RCP 8.5), Wisconsin 2061-2080
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2061-2080 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Modeled Monthly Temperature Metrics (RCP 8.5), Wisconsin 2081-2100
Contributors:- Raster data
- 2023
Summary: This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2081-2100 for the Representative Concentration Pathway (RCP) 8.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the 'comfortable' days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
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Title: Maps and GIS data for the Elk River watershed, Humboldt County, California
Contributors:- Not specified
- 2005
Summary: Digital geospatial data sets for two maps (Plate 1, Elk River watershed, Humboldt County, California, geologic and geomorphic features related to landsliding; and plate 2, Elk River watershed, Humboldt County, California, relative landslide potential with geologic and geomorphic features). These maps portray landslides, geomorphic features related to landsliding, relative landslide potential, geology, and stream channel geomorphic conditions in the Elk River watershed, Humboldt County, California. The GIS data are organized into four groups: landslide layers; geomorphology layers; fluvial layers; geology layers. by Gerald J. Marshall and Eric Mendes. Title from CD surface. Relief shown by contours. Includes text, Geologic and geomorphic features related to landsliding and landslide potential in the Elk River watershed / by Gerald J. Marshall and Eric Mendes. "Landslide and geomorphic features were mapped/compiled at a scale of 1:24,000 (1 inch equals 2000 feet). The geologic data were also compiled at 1:24,000...Accuracy of the map features in this database are not implied at scales larger than 1:24,000."--Metadata file. PDF images of maps include bibliographical references. System requirements: Intel Pentium processor or Macintosh Power PC or later with CD-ROM drive; Acrobat Reader 5.0 (included on disc); ArcExplorer viewer to view ESRI shapefile formats (included on disc); ArcView 3.x, ArcToolbox or workstation ArcInfo to view ESRI interchange file formats; WinZip 8.1 or greater (evaluation version included on disc). Digital files (some zipped) for 2 maps (ESRI shapefile [.shp] and interchange file [.e00] formats; PDF formats); text files (.rtf, .txt and .pdf formats); software (WinZip 8.1 evaluation version; ArcExplorer viewer; Acrobat Reader 5.0).
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Title: Reconnaissance geologic map of Dewey Lake quadrangle, St Louis County, Minnesota, M-22
Contributors:- Not specified
- 1974
Summary: Interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) of the Dewey Lake quadrangle, scale 1:24,000.