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1,606 results returned

  1. Title: C-30 Geologic Atlas of Wright County, Minnesota [Part A]

    Contributors:

    Summary: Plate 1, Data Base, Plate 2, Bedrock geology, Plate 3, Surficial geology, Plate 4 Quaternary stratigraphy, Plate 5 Sand distribution models, Plate 6 Bedrock topography and depth-to-bedrock, Scale 1:100,000. Additional data added 2015, raster data sets of the elevation of the top and bottom, and the thickness of bedrock units in Wright County.; Surface and subsurface geology of Wright County, Mn. includes bedrock topography and depth-to-bedrock. Additional data added 2015; raster data sets of the elevation of the top and bottom, and the thickness of bedrock units in Wright County.; The Wright County Board of Commissioners, and the Minnesota Environment and Natural Resources Trust Fund as Recommended by the Legislative-Citizen Commission on Minnesota Resources.

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  2. Title: Geologic atlas of Scott County, Minnesota, C-17, Plate 5, Bedrock Topography, Depth to Bedrock, Bedrock models

    Contributors:

    Summary: Maps showing the elevation of the bedrock surface (bedrock topography) and thickness of unconsolidated glacial and stream sediments over the bedrock surface and digitally created 3-dimensional surfaces of bedrock geologic units, scale 1:200,000; mixed, Scott County.

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  3. Title: Geologic atlas of Scott County, Minnesota, C-17, Plate 4, Quaternary Stratigraphy

    Contributors:

    Summary: Map, cross sections, and 3-dimensional diagrams showing the subsurface stratigraphy and unit characteristics of unconsolidated (glacial and stream sediments) overlying the bedrock, scale mixed, Scott County.

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  4. Title: Geologic atlas of Scott County, Minnesota, C-17, Plate 6, Subsurface Recharge and Surface Infiltration

    Contributors:

    Summary: Maps showing recharge rates (how quickly new water replaces water removed by pumping) and hydrologic models (how and when water enters and moves throught an aquifer) for water entering aquifers at the surface and aquifers in the subsurface, scale 1:200,000; mixed, Scott County.

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  5. Title: Hydrogeology of the Paleozoic bedrock in southeastern Minnesota, RI-61, Plate 2

    Contributors:

    Summary: Cross section of Paleozoic bedrock from central Mower County east showing hydrostratigraphic (water bearing rock units) attributes and classification of aquifers and confining units (rock units that prevent water movement in the vertical direction), scale 1 inch = about 7 miles.

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  6. Title: Hydrogeology of the Paleozoic bedrock in southeastern Minnesota, RI-61, Plate 1

    Contributors:

    Summary: Cross section of Paleozoic bedrock from the northern part of the Twin Cities Metropolitan area south to central Mower County showing hydrostratigraphic (water bearing rock units) attributes and classification of aquifers and confining units (rock units that prevent water movement in the vertical direction), scale 1 inch = about 7 miles.

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  7. Title: Geologic atlas of Wabasha County, Minnesota, C-14, Part A, Plate 5, Karst Features

    Contributors:

    Summary: Maps showing distribution of karst (carbonate rock with caves, springs) rock units and features and karst hydrology, including springs (water emerging from the ground) and stream sinks (water sinking into the ground), in carbonate rocks susceptible to being dissolved by acidic ground water, scale 1:100000, Wabasha County.

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  8. Title: Bedrock geology and structure of the seven-county Twin Cities Metropolitan Area, Minnesota, M-104

    Contributors:

    Summary: Interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) and structure map (recognizable features produced by deformation of rocks) of the seven county Metropolitan area, Twin Cities, Minnesota, scale 1:125,000.

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  9. Title: Geologic atlas of Fillmore County, Minnesota, C-8, Part A, Plate 1, Data Base

    Contributors:

    Summary: Map showing locations of water wells, soil borings, outcrops and cuttings samples collected during water well drilling. Distribution and sources of primary information tthat guide the geologic interpretations used to make the geologic maps in the series, scale 1:100,000, Fillmore County.

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  10. Title: Geologic atlas of Rice County, Minnesota, C-9, Part A, Plate 1, Data Base

    Contributors:

    Summary: Map showing locations of water wells, soil borings, outcrops and cuttings samples collected during water well drilling. Distribution and sources of primary information tthat guide the geologic interpretations used to make the geologic maps in the series, scale 1:100,000, Rice County.

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  11. Title: Quaternary geology-Southern Red River Valley, Minnesota, RHA-3, Part A, Plate 2

    Contributors:

    Summary: Quaternary (glacial and stream sediment) stratigraphy of southern Red River Valley, Minnesota, scale 1:200,000.

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  12. Title: Geologic atlas of Stearns County, Minnesota, C-10, Part A, Plate 4, Quaternary Stratigraphy

    Contributors:

    Summary: Map and cross sections showing the subsurface Quaternary (unconsolidated glacial and stream sediments) stratigraphy and unit characteristics, scale 1:200,000, Stearns County.

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  13. Title: Quaternary geology-Southern Red River Valley, Minnesota, RHA-3, Part A, Plate 1

    Contributors:

    Summary: Quaternary geology map showing interpretations of Quaternary (Pleistocene [glacial] and Holocene [post-glacial]) surficial geology (distribution and type of materials at the land surface), of southern Red River Valley, Minnesota, scale 1:200,000.

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  14. Title: Geologic atlas of Washington County, Minnesota, C-5, Plate 1, Data Base

    Contributors:

    Summary: Map showing locations of water wells, soil borings, outcrops and cuttings samples collected during water well drilling. Distribution and sources of primary information tthat guide the geologic interpretations used to make the geologic maps in the series, scale 1:100,000, Washington County.

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  15. Title: Geologic atlas of Hennepin County, Minnesota, C-4, Plate 1, Data Base

    Contributors:

    Summary: Map showing locations of water wells, soil borings, outcrops and cuttings samples collected during water well drilling. Distribution and sources of primary information tthat guide the geologic interpretations used to make the geologic maps in the series, scale 1:100,000, Hennepin County.

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  16. Title: World (Ore deposits, 2003)

    • Point data
    • 2003
    Contributors:

    Summary: Ore deposits.MRDS contains variable-length records of metallic andnonmetallic mineral resources of the world. A recordcontains descriptive information about mineral deposits andmineral commodities. The types of information in the database include deposit name, location, commodity, depositdescription, geologic characteristics, production,reserves, potential resources, and references. The MineralResource Data System master database is not accessible viathe WWW. The large number of multi-valued fields make itdifficult to import all the fields into a data format thatcan be utilized by the ArcView Internet Map ServerSoftware. This dataset contains all MRDS locations, butonly 44 of the possible 226 fields. A data structure wascreated in Access 97. Data was imported into the filestructure and then processed into Arc View, where it wastransformed into shape files that are used by the IMSsoftware to serve the MRDS data and permit access via the www.

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  17. Title: Wave Power Average Annual Frequency of Anomalies, 2000-2013

    Contributors:

    Summary: Wave power is a major environmental forcing mechanism in Hawai‘i that influences a number of marine ecosystem processes including coral reef community development, structure, and persistence. By driving mixing of the upper water column, wave forcing can also play a role in nutrient availability and ocean temperature reduction during warming events. Wave forcing in Hawai’i is highly seasonal, with winter months typically experiencing far greater wave power than that experienced during the summer months.This layer represents the annual average frequency of anomalies of Wave power (kW/m) from 2000 – 2013, with values presented as fraction of a year. Data were obtained from the International Pacific Research Center, University of Hawai‘i at Manoa SWAN model (Simulating WAves Nearshore) following Li et al., (2016). Li, N., Cheung, K.F., Stopa, J.E., Hsiao, F., Chen, Y.-L., Vega, L., and Cross, P. 2016. Thirty-four years of Hawaii wave hindcast from downscaling of climate forecast system reanalysis. Ocean Modelling 100:78-95. This layer was developed as part of a geospatial database of key anthropogenic pressures to coastal waters of the Main Hawaiian Islands for the Ocean Tipping Points project (http://oceantippingpoints.org/). Ocean tipping points occur when shifts in human use or environmental conditions result in large, and sometimes abrupt, impacts to marine ecosystems. The ability to predict and understand ocean tipping points can enhance ecosystem management, including critical coral reef management and policies to protect ecosystem services produced by coral reefs. The goal of the Ocean Tipping Points Hawaii case study was to gather, process and map spatial information on environmental and human-based drivers of coral reef ecosystem conditions. Ocean Tipping Points Project. (2016). Wave Power Average Annual Frequency of Anomalies, 2000-2013. Ocean Tipping Points Project. Available at: http://purl.stanford.edu/sm309xd8108. http://purl.stanford.edu/pg167sm9036. Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway. When applying these data for publication, please reference and cite the complete journal article, Wedding et al. 2017. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  18. Title: Wave Power Average Annual Maximum Anomaly, 2000-2013

    Contributors:

    Summary: Wave power is a major environmental forcing mechanism in Hawai‘i that influences a number of marine ecosystem processes including coral reef community development, structure, and persistence. By driving mixing of the upper water column, wave forcing can also play a role in nutrient availability and ocean temperature reduction during warming events. Wave forcing in Hawai’i is highly seasonal, with winter months typically experiencing far greater wave power than that experienced during the summer months.This layer represents the annual average the maximum anomaly of Wave power (kW/m) from 2000 – 2013. Data were obtained from the International Pacific Research Center, University of Hawai‘i at Manoa SWAN model (Simulating WAves Nearshore) following Li et al., (2016). Li, N., Cheung, K.F., Stopa, J.E., Hsiao, F., Chen, Y.-L., Vega, L., and Cross, P. 2016. Thirty-four years of Hawaii wave hindcast from downscaling of climate forecast system reanalysis. Ocean Modelling 100:78-95. This layer was developed as part of a geospatial database of key anthropogenic pressures to coastal waters of the Main Hawaiian Islands for the Ocean Tipping Points project (http://oceantippingpoints.org/). Ocean tipping points occur when shifts in human use or environmental conditions result in large, and sometimes abrupt, impacts to marine ecosystems. The ability to predict and understand ocean tipping points can enhance ecosystem management, including critical coral reef management and policies to protect ecosystem services produced by coral reefs. The goal of the Ocean Tipping Points Hawaii case study was to gather, process and map spatial information on environmental and human-based drivers of coral reef ecosystem conditions. Ocean Tipping Points Project. (2016). Wave Power Average Annual Maximum Anomaly, 2000-2013. Ocean Tipping Points Project. Available at: http://purl.stanford.edu/sm309xd8108. http://purl.stanford.edu/zm713ry9594. Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway. When applying these data for publication, please reference and cite the complete journal article, Wedding et al. 2017. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  19. Title: PAR Average Annual Frequency of Anomalies, 2002-2013

    Contributors:

    Summary: Solar irradiance is one of the most important factors influencing coral reefs. As a majority of their nutrients is obtained from symbiotic photosynthesizing organisms, reef-building corals need irradiance asa fundamental source of energy. Seasonally low irradiance at high latitudes may be linked to reduced growth rates in corals and may limit reef calcification to shallower depths than that observed at lower latitudes. However, high levels of irradiance can lead to light-induced damage, production of free radicals, and in combination with increased temperatures, can exacerbate coral bleaching. This layer represents the annual average number of anomalies of Irradiance from 2002–2013, with values presented as fraction of a year. Irradiance is actually PAR (photosynthetically available radiation), which is the spectrum of light that is important for photosynthesis. Monthly and 8-day, 4 km (0.0417 degree) spatial resolution data were obtained from the MODIS (moderate re solution imaging spectroradiometer) Aqua satellite from the NASA OceanColor Web (http://oceancolor.gs fc.nasa.gov/cms/). This layer was developed as part of a geospatial database of key anthropogenic pressures to coastal waters of the Main Hawaiian Islands for the Ocean Tipping Points project (http://oceantippingpoints.org/). Ocean tipping points occur when shifts in human use or environmental conditions result in large, and sometimes abrupt, impacts to marine ecosystems. The ability to predict and understand ocean tipping points can enhance ecosystem management, including critical coral reef management and policies to protect ecosystem services produced by coral reefs. The goal of the Ocean Tipping Points Hawaii case study was to gather, process and map spatial information on environmental and human-based drivers of coral reef ecosystem conditions. Ocean Tipping Points Project. (2016). PAR Average Annual Frequency of Anomalies, 2002-2013. Ocean Tipping Points Project. Available at: http://purl.stanford.edu/sm309xd8108. http://purl.stanford.edu/fw610zp8614. Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway. When applying these data for publication, please reference and cite the complete journal article, Wedding et al. 2017. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  20. Title: SST Maximum Monthly Climatological Mean, 1985-2013

    Contributors:

    Summary: Sea surface temperature (SST) plays an important role in a number of ecological processes and can vary over a wide range of time scales, from daily to decadal changes. SST influences primary production, species migration patterns, and coral health. If temperatures are anomalous warm for extended periods of time, drastic changes in the surrounding ecosystem can result, including harmful effects such as coral bleaching. This layer represents maximum of the monthly mean climatology of sea surface temperature (SST) (degrees Celsius) from 1985 – 2013.A continuous, 5km gap-filled weekly SST data set available from 1985 – 2013 was produced from a variety of sources. Please see Lineage Statement for more details. This layer was developed as part of a geospatial database of key anthropogenic pressures to coastal waters of the Main Hawaiian Islands for the Ocean Tipping Points project (http://oceantippingpoints.org/). Ocean tipping points occur when shifts in human use or environmental conditions result in large, and sometimes abrupt, impacts to marine ecosystems. The ability to predict and understand ocean tipping points can enhance ecosystem management, including critical coral reef management and policies to protect ecosystem services produced by coral reefs. The goal of the Ocean Tipping Points Hawaii case study was to gather, process and map spatial information on environmental and human-based drivers of coral reef ecosystem conditions. Ocean Tipping Points Project. (2016). SST Maximum Monthly Climatological Mean, 1985-2013. Ocean Tipping Points Project. Available at: http://purl.stanford.edu/sm309xd8108. http://purl.stanford.edu/tk850tr7620. Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway. When applying these data for publication, please reference and cite the complete journal article, Wedding et al. 2017. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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