88 datasets found
  1. a

    Tidelands/MSU Coastal Imagery Times and Tidal Levels

    • hub.arcgis.com
    Updated Jul 18, 2020
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    Mississippi Department of Marine Resources (2020). Tidelands/MSU Coastal Imagery Times and Tidal Levels [Dataset]. https://hub.arcgis.com/maps/mdmr::tidelands-msu-coastal-imagery-times-and-tidal-levels
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    Dataset updated
    Jul 18, 2020
    Dataset authored and provided by
    Mississippi Department of Marine Resources
    Area covered
    Description

    This shapefile archive contains approximate boundaries for each used portion of the raster mosaics, along with associated times raw imagery was collected. These times were used to index to tidal levels obtained from NOAA's Tides and Currents website, using two stations: Bay Waveland Yacht Club, and Pascagoula NOAA Lab. The CSVs obtained from the website have also been included in the archive.Tidal levels may be represented as either a single value, or a range of values for larger areas. This is a subset of available imagery reduced for optimal web viewing. Full resolution and additional datasets are available on the MSU website: Mississippi State University - Geosystems Research Institute: https://uas.hpc.msstate.edu/dmr.php

  2. a

    MSU

    • oktibbeha-gtpdd.hub.arcgis.com
    Updated Nov 28, 2023
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    Golden Triangle Planning and Development District, Inc. (2023). MSU [Dataset]. https://oktibbeha-gtpdd.hub.arcgis.com/datasets/msu
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    Dataset updated
    Nov 28, 2023
    Dataset authored and provided by
    Golden Triangle Planning and Development District, Inc.
    Area covered
    Description

    Oktibbeha MAp

  3. GIS Data at the Kellogg Biological Station, Hickory Corners, MI

    • search.dataone.org
    Updated Jun 14, 2013
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    LTER Network Member Node (2013). GIS Data at the Kellogg Biological Station, Hickory Corners, MI [Dataset]. https://search.dataone.org/view/knb-lter-kbs.74.16
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    Dataset updated
    Jun 14, 2013
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Area covered
    Description

    Dataset Abstract The KBS LTER has a large collection of vector and raster GIS files. A selection of GIS resources is available here and requests for additional layers can be made by contacting the Principal Contact listed below. original data source http://lter.kbs.msu.edu/datasets/74

  4. g

    MSU G10 Seabird 2014

    • gisdata.gcoos.org
    • gcoos-tamu.opendata.arcgis.com
    Updated Aug 6, 2019
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    jeradk18@tamu.edu_tamu (2019). MSU G10 Seabird 2014 [Dataset]. https://gisdata.gcoos.org/datasets/cbe10042f2274acda3093262d0696acb
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    Dataset updated
    Aug 6, 2019
    Dataset authored and provided by
    jeradk18@tamu.edu_tamu
    Area covered
    Description

    A research project involving NOAA, Mississippi State and a California robotics company could improve future hurricane forecasting. Monday morning, they loaded un-manned surface vessels onto a research ship and will deploy those devices in the Gulf of Mexico.

    More detail: https://www.wlox.com/story/26365680/msu-noaa-liquid-robotics-team-to-improve-hurricane-forcasting

  5. a

    Glacial Landsystems

    • gis-egle.hub.arcgis.com
    • gis-michigan.opendata.arcgis.com
    • +1more
    Updated Jul 31, 2020
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    Michigan Dept. of Environment, Great Lakes, and Energy (2020). Glacial Landsystems [Dataset]. https://gis-egle.hub.arcgis.com/datasets/glacial-landsystems
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    Dataset updated
    Jul 31, 2020
    Dataset authored and provided by
    Michigan Dept. of Environment, Great Lakes, and Energy
    Area covered
    Description

    Groundwater Inventory and Mapping Project, a cooperative effort between the Water Bureau - Michigan Department of Environmental Quality, USGS - Michigan Water Science Center and Michigan State University - Institute of Water Research, RS&GIS and Biosystems and Agricultural Engineering. This project was mandated by P.A. 148 (Michigan Acts of 2003). Major funding was provided by MDEQ, supplemented with additional funds from the USGS Cooperative Water Program. Michigan State University: Remote Sensing & GIS Research and Outreach Services - Department of Geography, David P. Lusch, Ph.D.

    Using GIS overlay techniques, surface formations extracted from the Quaternary geology map were combined with soil texture groups that had been reclassified from the STATSGO data, based on the Michigan Soil Management Group protocol. The concatenated surface formations and generalized soil texture categories were grouped into glacial landsystems.

  6. K

    Geo-referenced Annual Crop Yields - Processed

    • lter.kbs.msu.edu
    Updated Mar 18, 2024
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    Phil Robertson; Sven Bohm; Nick Haddad (2024). Geo-referenced Annual Crop Yields - Processed [Dataset]. https://lter.kbs.msu.edu/datatables/185
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    Dataset updated
    Mar 18, 2024
    Dataset provided by
    Michigan State University
    Authors
    Phil Robertson; Sven Bohm; Nick Haddad
    License

    https://lter.kbs.msu.edu/data/terms-of-use/https://lter.kbs.msu.edu/data/terms-of-use/

    Variables measured
    year, yield, species, latitude, moisture, longitude
    Description

    Annual crop harvest yields of corn, soy and wheat from the Main Cropping System Experiment at...

  7. a

    Matthaei Botanical Gardens - Historical Aerial Imagery (1937, MSU)

    • mbgna-umich.hub.arcgis.com
    Updated Feb 15, 2023
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    University of Michigan (2023). Matthaei Botanical Gardens - Historical Aerial Imagery (1937, MSU) [Dataset]. https://mbgna-umich.hub.arcgis.com/maps/e8f97d33e0bf4554b2690708101f9c02
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    Dataset updated
    Feb 15, 2023
    Dataset authored and provided by
    University of Michigan
    Area covered
    Description

    Matthaei Botanical Gardens - Historical Aerial Imagery (1937, MSU). The source of this image is Michigan State University.

  8. a

    Great Lakes Substrate Texture Raster

    • glahf-msugis.hub.arcgis.com
    Updated Oct 16, 2024
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    Michigan State University Online ArcGIS (2024). Great Lakes Substrate Texture Raster [Dataset]. https://glahf-msugis.hub.arcgis.com/datasets/great-lakes-substrate-texture-raster
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    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Michigan State University Online ArcGIS
    Area covered
    Description

    Input datasets were compiled by many sources over years ranging from 1968-present. The majority of sources are published journal articles with maps that were digitized. Lake Erie Habitat Task Group data was collected using side scan sonar and proofed with grab samples and underwater video. The shoreline material was extended from the shoreline to the nearshore areas (0 - 30 m of depth) areas of all the Great Lakes except Erie. The shoreline material information is from the the U.S. Army Corps of Engineers (2012) and the shoreline classification from Environment Canada Environmental Sensitivity Atlas (1990s). The shoreline material classification was extended to areas deeper than 30 m for missing data locations in northern Lake Superior. The Euclidean Allocation Tool, part of the Spatial Analyst Extension, was used to extend the shoreline material line feature class values into the nearshore and missing data areas.

  9. Data from: Aerial Photographs of the KBS LTER and Environs at the Kellogg...

    • dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
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    G. Robertson (2015). Aerial Photographs of the KBS LTER and Environs at the Kellogg Biological Station, Hickory Corners, MI (1938 to 2012) [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-kbs%2F41%2F22
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    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    G. Robertson
    Time period covered
    Apr 16, 1991 - Aug 1, 2012
    Area covered
    Variables measured
    date, name, scale, title, mosaic, overlap, comments, photo_id, photo_type, orthorectified, and 3 more
    Description

    Dataset Abstract Aerial photography is considered an important management tool in agriculture. Aerial photography allows researchers to detect spatial variability and understand the causes of the variability such as planter skips, drought stress, weeds and water erosion. In agricultural research it allows researchers to differentiate healthy vegetation from unhealthy and access plant biomass and moisture levels. The photographs are also useful to document trends and changes in the landscape. original data source http://lter.kbs.msu.edu/dataset/44

  10. u

    Precision Agriculture Yield Monitoring in Row Crop Agriculture at the...

    • agdatacommons.nal.usda.gov
    • search.dataone.org
    • +1more
    bin
    Updated Nov 30, 2023
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    G Robertson (2023). Precision Agriculture Yield Monitoring in Row Crop Agriculture at the Kellogg Biological Station, Hickory Corners, MI (1996 to 2013) [Dataset]. http://doi.org/10.6073/pasta/423c07d6ea3317c545beabb4b8e502c8
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    binAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    KBS LTER
    Authors
    G Robertson
    License

    https://rightsstatements.org/vocab/UND/1.0/https://rightsstatements.org/vocab/UND/1.0/

    Area covered
    Hickory Corners, Michigan
    Description

    The LTER annual crops (corn, soy and wheat), treatments 1-4, are harvested annually using a combine equipped with a GPS and precision agriculture software to allow detailed yield measurements with coincident GPS latitude and longitude data.. original data source http://lter.kbs.msu.edu/datasets/40 Resources in this dataset:Resource Title: Website Pointer to html file. File Name: Web Page, url: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-kbs&identifier=37 Webpage with information and links to data files for download

  11. u

    Baseline Spatial Variability Study at the Kellogg Biological Station,...

    • agdatacommons.nal.usda.gov
    • search.dataone.org
    • +2more
    bin
    Updated Nov 30, 2023
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    G Robertson; Diana Wall; Katherine Gross; Karen Renner (2023). Baseline Spatial Variability Study at the Kellogg Biological Station, Hickory Corners, MI (1988) [Dataset]. http://doi.org/10.6073/pasta/b49a09795d29e0c1149efcc068f3426e
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    binAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    KBS LTER
    Authors
    G Robertson; Diana Wall; Katherine Gross; Karen Renner
    License

    https://rightsstatements.org/vocab/UND/1.0/https://rightsstatements.org/vocab/UND/1.0/

    Area covered
    Hickory Corners, Michigan
    Description

    A spatial variability study conducted across the LTER Main Site area (45 ha) at KBS prior to dividing the site into 1-ha experimental plots. During the 1988 growing season a stratified unaligned sampling scheme was used to collect 400-600 geo-referenced samples across the site (uniformly planted to a single variety of soybeans) for: geomorphological characteristics (microtopography, soil horizon depths, bulk density, texture); soil chemical characteristics (pH, NO3, NH4, total C, total N, moisture, inorganic P, trace metals); soil biological characteristics (N mineralization potentials, microbial biomass C, microbial biomass N, fungal/bacterial ratios, nematodes and other soil invertebrates; seed bank size); plant weed species abundance, weed biomass at peak standing crop); and insect characteristics (major pest and predator species). Most soil samples were taken before crop emergence, plant phenology samples were taken throughout the growing season, biomass samples were taken at physiological maturity, and insect samples were taken continuously. Dried soil and plant samples are archived for potential future analysis. original data source http://lter.kbs.msu.edu/datasets/6 Resources in this dataset:Resource Title: Website Pointer to html file. File Name: Web Page, url: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-kbs&identifier=3 Webpage with information and links to data files for download

  12. a

    Northern Lake Huron Inter Tribal Fishing Zone portion restricted commercial...

    • glahf-msugis.hub.arcgis.com
    • hub.glahf.org
    Updated Oct 16, 2024
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    Michigan State University Online ArcGIS (2024). Northern Lake Huron Inter Tribal Fishing Zone portion restricted commercial fishing zones [Dataset]. https://glahf-msugis.hub.arcgis.com/items/a092e5bcdd654079948d02c3328042f2
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    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Michigan State University Online ArcGIS
    Area covered
    Description

    Those portions of grids 505 and 506 which lie north of a line from Hammond Bay Harbor buoy to the northeast corner of grid 506. Regulations: This zone shall be open to fishers from all Tribes. The following restrictions apply to large mesh gill net operations in that portion of Lake Huron grids 505 and 506 that lies north of the line described above. Effort shall be restricted to a maximum of 8,500 feet of net per vessel; and Fishing shall be limited to depths of seventy-five (75) feet or deeper from the Friday before Memorial Day through Labor Day. Maps for general reference only: refer to text of Consent Decree 2000 for exact locations and provisions.Created a new polygon shapefile in ArcGIS 8.1. The new pollygon layer was created using the snapping tool in ArcMap. Starting form the northeast corner of the new polygon (as outlined in the Consent Decree 2000 documentation) and heading in a counter clockwise direction snapping to the vertices and edges of an adjacent layer created earlier, snapping to the vertices and edges of the MDNR (University of Michigan) Statistical Grid layer, and finishing the sketch at the starting point. The desired features were then reprojected from Michigan georef to Decimal Degrees to create the final Portion of Northern Lake Huron Inter- Tribal Fishing Zone layer.The boundaries represented on consent decree maps are approximations based on the text contained in the 2000 Consent Decree. For legal descriptions of geographic extent or details pertaining to regulations for these representations refer to the original 2000 Consent Decree Document.

  13. K

    1800's Presettlement Vegetation of GLBRC and LTER sites

    • data.sustainability.glbrc.org
    Updated Oct 24, 2023
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    Sven Bohm; Phil Robertson (2023). 1800's Presettlement Vegetation of GLBRC and LTER sites [Dataset]. https://data.sustainability.glbrc.org/datatables/504
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    Dataset updated
    Oct 24, 2023
    Dataset provided by
    Michigan State University
    Authors
    Sven Bohm; Phil Robertson
    License

    https://lter.kbs.msu.edu/data/terms-of-use/https://lter.kbs.msu.edu/data/terms-of-use/

    Variables measured
    site, replicate, treatment, experiment, vegetation_type
    Description

    Vegetation of the early 1800’s (presettlement) of the LTER and...

  14. a

    Michigan DNR land and mineral ownership

    • glahf-msugis.hub.arcgis.com
    Updated Oct 16, 2024
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    Michigan State University Online ArcGIS (2024). Michigan DNR land and mineral ownership [Dataset]. https://glahf-msugis.hub.arcgis.com/datasets/michigan-dnr-land-and-mineral-ownership
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    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Michigan State University Online ArcGIS
    Area covered
    Description

    DNR Land and Mineral Ownership compiled and mapped at quarter-quarter section level, based on parcel data in Real Estate Information System (REIS). Includes type of ownership (mineral rights, surface rights, and fee) and acreage for each type, by quarter-quarter section. State ownership files are in an ArcView shapefile format, with one shapefile for each county. Associated attribute table includes: number of parcels, type of ownership, and acreage of ownership for each quarter-quarter section.

  15. g

    Lake Erie walleye management units

    • hub.glahf.org
    Updated Oct 16, 2024
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    Michigan State University Online ArcGIS (2024). Lake Erie walleye management units [Dataset]. https://hub.glahf.org/datasets/lake-erie-walleye-management-units-1
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    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Michigan State University Online ArcGIS
    Area covered
    Description

    Lake Erie walleye management units.

  16. Potential Oil Spill Risk Locations

    • geodata.myfwc.com
    • mapdirect-fdep.opendata.arcgis.com
    • +1more
    Updated Jan 15, 2015
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    Florida Fish and Wildlife Conservation Commission (2015). Potential Oil Spill Risk Locations [Dataset]. https://geodata.myfwc.com/maps/potential-oil-spill-risk-locations
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    Dataset updated
    Jan 15, 2015
    Dataset authored and provided by
    Florida Fish and Wildlife Conservation Commissionhttp://myfwc.com/
    Area covered
    Description

    For full FGDC metadata record, please click here.This is a point feature class describing the location of potential spill sources/locations within the boundaries of responsibilities of the United States Coast Guard District 7/8 Sectors: Charleston (including MSU Savannah), Jacksonville, Miami, Key West, Saint Petersburg, Mobile (District 8), and San Juan. The data was collected from ACP workshops and USCG from each Sector. The information was then digitized in Arc/Info 9.3 in 'heads-up' manner within the ACP Map extent using aerial imagery and other reference features as background coverage. This information was then converted to an ESRI shapefile for use in the Digital Area Contingency Plans produced by FWRI for USCG District Seven/Eight.

  17. g

    Lake St Clair submerged aquatic vegetation raster mean percent bottom...

    • hub.glahf.org
    Updated Oct 16, 2024
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    Michigan State University Online ArcGIS (2024). Lake St Clair submerged aquatic vegetation raster mean percent bottom covered 2003 to 2007 [Dataset]. https://hub.glahf.org/maps/msugis::lake-st-clair-submerged-aquatic-vegetation-raster-mean-percent-bottom-covered-2003-to-2007/explore
    Explore at:
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Michigan State University Online ArcGIS
    Area covered
    Description

    Michigan DNR Fisheries Division hydroacoustic survey data (2003-2011) were collected annually at survey stations in Lake St. Claire to document the abundance and distribution of submerged aquatic vegetation. The hydrouacoustic surveys at each station consisted of 11 parallel east-west boat transects spaced 10 m apart within a square hectare plot. Not all survey stations were sampled every year; to allow for sufficient data for mapping, sonar records across multiple years were compiled and averaged on a per station basis. Plant height, percent of lake bottom covered by aquatic plants and percent of water column containing plant biomass interpolated layers were generated from this data using ordinary kriging and the ArcGIS Geostatistical Analyst. The MDNR Fisheries Research Report 2099, documenting hydroacoustic survey methods and results from the years 2003-2007. Kriging parameters are as follows: SAV_mean_per_cover_2003_2007; no transformations, no trend removal; Gaussian semivariogram model, nugget = 745, major range = 9902, partial sill = 579, number of lags = 12, lag size = 1089; smooth search neighborhood, smoothing factor = 0.1

  18. m

    Data from: Tropical forests are home to over half of the world's vertebrate...

    • arc.lib.montana.edu
    • data.niaid.nih.gov
    Updated Sep 24, 2021
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    Aragon-Osejo, Jose; Gonzalez-del-Pliego, Pamela; Hansen, Andrew J.; Pillay, Rajeev; Venter, Michelle; Venter, Oscar; Watson, James EM (2021). Tropical forests are home to over half of the world's vertebrate species [Dataset]. https://arc.lib.montana.edu/msu-dataset-search/item/54380
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    Dataset updated
    Sep 24, 2021
    Authors
    Aragon-Osejo, Jose; Gonzalez-del-Pliego, Pamela; Hansen, Andrew J.; Pillay, Rajeev; Venter, Michelle; Venter, Oscar; Watson, James EM
    Time period covered
    Sep 24, 2021
    Area covered
    World
    Description

    The four Excel workbooks contain processed data on Mammal, Bird, Reptile and Amphibian species that occur in tropical forests and other terrestrial biomes on Earth. The associated README text file contains metadata to describe the data in the xlsx workbooks. Python code to replicate the analyses is provided in the script: Vertebrates.py - ArcGIS Pro is required to be installed prior to running this script.

  19. u

    KBS GLBRC Experiment at the Kellogg Biological Station, Hickory Corners, MI...

    • agdatacommons.nal.usda.gov
    • search.dataone.org
    • +1more
    bin
    Updated Nov 30, 2023
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    G Robertson; Joseph Simmons; Gregg Sanford; Kurt Thelen (2023). KBS GLBRC Experiment at the Kellogg Biological Station, Hickory Corners, MI (1988 to 2019) [Dataset]. http://doi.org/10.6073/pasta/a659bcbe724509f8a49b5f7ac1b36427
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    binAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    KBS LTER
    Authors
    G Robertson; Joseph Simmons; Gregg Sanford; Kurt Thelen
    License

    https://rightsstatements.org/vocab/UND/1.0/https://rightsstatements.org/vocab/UND/1.0/

    Area covered
    Hickory Corners, Michigan
    Description

    Great Lakes Bioenergy Research Consortium Sustainably Experiment activity logs and background information. original data source http://lter.kbs.msu.edu/datasets/63 Resources in this dataset:Resource Title: Website Pointer to html file. File Name: Web Page, url: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-kbs&identifier=58 Webpage with information and links to data files for download

  20. a

    Michigan Native American Treaty boundaries

    • glahf-msugis.hub.arcgis.com
    Updated Oct 16, 2024
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    Michigan State University Online ArcGIS (2024). Michigan Native American Treaty boundaries [Dataset]. https://glahf-msugis.hub.arcgis.com/datasets/michigan-native-american-treaty-boundaries
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    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Michigan State University Online ArcGIS
    Area covered
    Description

    Boundaries for Native American Treaties with the State of Michigan and the US were created from Treaty lines based on old maps and treaty descriptions to illustrate spatial relationships of statewide Treaty Boundaries.Use with caution. Authenticity is questionable. Designed for Cartographic purposes to illustrate spatial relationships of statewide Treaty Boundaries. Treaty lines are based on old maps and treaty descriptions used by Jim Ekdahl, Treaty Master.The boundaries fornative American Treaties with the State of Michigan and the US wasreprojected from Michigan georef to Decimal Degrees using the MI DNR Projection Extension.

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Mississippi Department of Marine Resources (2020). Tidelands/MSU Coastal Imagery Times and Tidal Levels [Dataset]. https://hub.arcgis.com/maps/mdmr::tidelands-msu-coastal-imagery-times-and-tidal-levels

Tidelands/MSU Coastal Imagery Times and Tidal Levels

Explore at:
Dataset updated
Jul 18, 2020
Dataset authored and provided by
Mississippi Department of Marine Resources
Area covered
Description

This shapefile archive contains approximate boundaries for each used portion of the raster mosaics, along with associated times raw imagery was collected. These times were used to index to tidal levels obtained from NOAA's Tides and Currents website, using two stations: Bay Waveland Yacht Club, and Pascagoula NOAA Lab. The CSVs obtained from the website have also been included in the archive.Tidal levels may be represented as either a single value, or a range of values for larger areas. This is a subset of available imagery reduced for optimal web viewing. Full resolution and additional datasets are available on the MSU website: Mississippi State University - Geosystems Research Institute: https://uas.hpc.msstate.edu/dmr.php

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