AndreaBozzo/ceres-open-data-index huggingface dataset:
Drummond Island Refuge restricted commercial fishing zone

The following area shall be a lake trout refuge with boundaries in Lake Huron, grids 307 through 309, the north half (N½) of grid 407, and grids 408 through 410. Regulations: All commercial fishing is prohibited in the above area. 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. Copied selected features (as outlined in the Consent Decree 2000 documentation) of the US Department of Commerce (Bureau of the Census, Geography Division) county census (1995) layer into new shapefile. Created a new polygon shapefile in ArcGIS 8.1. The new pollygon layer was created using the snapping tool in ArcMap. Snapping to the vertices (as outlined in the Consent Decree 2000 documentation) of the MDNR (University of Michigan) Statistical Grid layer, extending the polygon boundaries beyond the preceding polygon we created, and finishing the sketch at the starting point. The new polygon feature was then commbined with the copied polygon generated from the US Department of Commerce (Bureau of the Census, Geography Division) county census (1995) layer using the union tool from the geoprocessing wizard in Arc Map. The desired features were then selected, exported as a new shapefile, and reprojected from Michigan georef to Decimal Degrees to create the final Drummond Island Lake Trout Refuge 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.
Disputed Zone included in Southern Lake Huron Trap Net Zone restricted commercial fishing zone

Those waters within the State of Michigan south of the southern boundary of the Southern Lake Huron Trap Net Zone (which is north of a line from the mouth of the Thunder Bay River in a straight line northeast through the northeast corner of grid 711 to the international border) and north of a line from the tip of North Point on Thunder Bay in a straight line northeast parallel to the southern boundary of this zone to the international border. Regulations: Bay Mills and Sault Tribe may authorize the Tribal fishers permitted to fish in this zone to obtain permits from the State to fish with trap nets. The State shall issue a permit for trap net fishing for whitefish in the area described above to any such fisher; provided, that the aggregate net effort allowed by all such permits shall not exceed sixteen (16) nets. The permits shall incorporate regulations from the Tribal Code applicable to these fishers in this zone, and may contain such other conditions as the State may impose. South of the line described above, the State shall have jurisdiction to enforce the permit conditions under State law. Maps for general reference only: refer to text of Consent Decree 2000 for exact locations and provisions. Created a new point shapefile in ArcGIS 8.1. A point was located on the USGS Alpena county 1:24,000 DRG as outlined in the Consent Decree 2000 documentation. The point was generated at the tip of North Point on Thunder Bay in a straight line northeast parallel to the southern boundary of the Southern Lake Huron Trap Net Zone. We then created a new polygon shapefile in ArcGIS 8.1. The new pollygon layer was created using the snapping tool in ArcMap. Starting form the above point location and heading in a counter clockwise direction using the parallel tool and snapping to the southern boudary of the Southern Lake Huron Trap Net Zone layer created earlier to create the southern boundary for the new polygon, snapping to the vertices (as outlined in the Consent Decree 2000 documentation) of the MDNR (University of Michigan) Statistical Grid layer , snapping to the southern boudary of the Southern Lake Huron Trap Net Zone layer, extending the polygon boundaries beyond the US Department of Commerce (Bureau of the Census, Geography Division) county census (1995) layer, and finishing the sketch at the starting point. The new polygon feature was then commbined with the US Department of Commerce (Bureau of the Census, Geography Division) county census (1995) layer and the Southern Lake Huron Trap Net Zone layer using the union tool from the geoprocessing wizard in Arc Map. The desired features were then selected, exported as a new shapefile, and reprojected from Michigan georef to Decimal Degrees to create the final Disputed 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.
Saginaw Bay trawl grids Michigan Department of Natural Resources

The purpose of the grid system is to provide a definition of area for the objective of providing locational description for the sampling within Saginaw Bay (usually trawling). Because the data is taken from the lat/lon grid system, it is essentially public domain. Because the grid system is taken from the lat/lon system, it should have the same accuracy as the larger projection used except for any rounding error.
Ontario conservation reserves

Land set aside under the Provincial Parks and Conservation Reserves Act, 2006: 1. To permanently protect representative ecosystems, biodiversity and provincially significant elements of Ontario's natural and cultural heritage and to manage these areas to ensure that ecological integrity is maintained. 2. To provide opportunities for ecologically sustainable land uses, including traditional outdoor heritage activities and associated economic benefits. 3. To facilitate scientific research and to provide points of reference to support monitoring of ecological change on the broader landscape. Legislated or Legal Authority for Collection: Provincial Parks and Conservation Reserves Act, 2006 Additional Time Period Information: First conservation reserve regulated in 1994 and most recent package of regulations was gazetted on June 9, 2008. Natural Resources Values Information System (NRVIS). Boundaries have been reviewed to ensure quality control. Spatial information is directly based on regulation plans, published by the Office of the Surveyor General.; NRVIS
Ontario federal lands

Federal Land, Other refers to an area of land over which the Federal Crown has exclusive jurisdiction and/or ownership excluding Indian Reserves. These polygon boundaries should be verified using Federal Crown Land Survey Records and/or title searched at the local Land Registry Office. This data set may not include all Federally owned lands. A primary source for coincident base features (shorelines, streams, roads, cadastral boundaries etc...) as loaded into the Natural Resources Values Information System at the Ontario Ministry of Natural Resources
Ontario provincial parks

Public lands set aside under the Provincial Parks and Conservation Reserves Act, 2006 1. To permanently protect representative ecosystems, biodiversity and provincially significant elements of Ontario's natural and cultural heritage and to manage these areas to ensure that ecological integrity is maintained. 2. To provide opportunities for ecologically sustainable outdoor recreation opportunities and encourage associated economic benefits. 3. To provide opportunities for residents of Ontario and visitors to increase their knowledge and appreciation of Ontario's natural and cultural heritage. 4. To facilitate scientific research and to provide points of reference to support monitoring of ecological change on the broader landscape.. Ontario provincial parks are classified as one of the following classes: Wilderness, Nature Reserve, Cultural Heritage, Natural Environment, Waterway, and Recreational. UPDATE: the spatial boundary for Algonquin Provincial Park (P1915) is draft only. It was uploaded to the Provincial Park Regulated data class on May 2, 2007 to satisfy the requirements for Forest Management Planning. Refer to regulation 386/93 (revised to 316/07) and regulation plan (February 1993; File No. 180215) for the official boundary details. The official update to the spatial boundary will be uploaded when the re-regulation gets approved. Legislated or Legal Authority for Collection: Provincial Parks and Conservation Reserves Act, 2006 Additional Time Period Information: First park regulated in 1893 and most recent package of regulations was gazetted on July 9, 2008. Natural Resources Values Information System (NRVIS). Boundaries have been reviewed to ensure quality control. Spatial information is directly based on regulation plans, published by the Office of the Surveyor General.; NRVIS
Saginaw Bay trawl quads Michigan Department of Natural Resources

The purpose of the grid system is to provide a definition of area for the objective of providing locational description for the sampling within Saginaw Bay (usually trawling). Because the data is taken from the lat/lon grid system, it is essentially public domain. Because the grid system is taken from the lat/lon system, it should have the same accuracy as the larger projection used except for any rounding error.
US National Atlas Federal and Indian Land Areas for Michigan

U.S. National Atlas Federal and Indian Land Areas represents the federal and Indian owned land areas (e.g., Bureau of Indian Affairs, Department of Defense, and Tennessee Valley Authority) of the United States. Largest scale when displaying the data: 1:1,000,000. Clipped to the Huron Basin, which includes a 25 kilometer buffer, using Geoprocessing Wizard. Indian Reservations were selected out and converted to a new shapefile. The geospatial part of this data set was originally extracted from the individual 1:2,000,000-scale State boundary Digital Line Graph (DLG) files produced by the U.S. Geological Survey which have a positional accuracy of 1,720 meters. It was updated several times using various sources whose horizontal positional accuracies are unknown. No duplicate features are present. The shapefile is exported using Avenue request ExportClean. This request verifies and enforces the correctness of shapes. After processing, the data set is checked for drawing display and number of records and file sizes compared with source materials. Data completeness generally reflects the content of the original Digital Line Graph (DLG) files.
Ontario Fish Spawning Areas

Spawning Area, Lake Erie Basin, Ontario, Fish, Fisheries Management, Wildlife, AMERICAN EEL, ATLANTIC SALMON, AURORA TROUT, BLACK BULLHEAD, BLACK CRAPPIE, BLUEGILL, BROOK TROUT, BROWN BULLHEAD, BROWN TROUT, BURBOT, CATOSTOMIDAE (FISH FAMILY), CATOSTOMUS COMMERSONI, CENTRARCHIDAE, CHANNEL CATFISH, CHINOOK SALMON, COHO SALMON, COMMON CARP, CYPRINIDAE, EMERALD SHINER, FISHES, FORAGE, FORAGE FISH (PREY OF PREDATORY FISH), GRASS PICKEREL, ICTALURIDAE, LAKE HERRING, LAKE STURGEON, LAKE TROUT, LAKE WHITEFISH, LARGEMOUTH BASS, LONGNOSE SUCKER, MUSKELLUNGE, NORTHERN HOG SUCKER, NORTHERN PIKE, PINK SALMON, PUMPKINSEED, RAINBOW SMELT, RAINBOW TROUT, ROUND WHITEFISH, SALMONIDAE, SAUGER, SEA LAMPREY, SHORTHEAD RED HORSE, SMALLMOUTH BASS, SPAWNING, SPAWNING SITES, SPLAKE, STURGEON, WALLEYE, WHITE BASS, WHITE SUCKER, WHITEFISH, YELLOW BULLHEAD, YELLOW PERCH
Lake St Clair submerged aquatic vegetation contours mean percent bottom covered 2008 to 2011

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 hydroacoustic 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_2008_2011; no transformations, no trend removal; Gaussian semivariogram model, nugget = 999, major range = 9063, partial sill = 759, number of lags = 12, lag size = 1133; smooth search neighborhood, smoothing factor = 0.1
Lake St Clair submerged aquatic vegetation contours mean percent bottom covered 2003 to 2007

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
High Resolution NHDPlus Flowlines for the Great Lakes Basin

Source NHDPlus HR data was downloaded and merged for the Great Lakes basin. This basin-wide dataset allows for studies and applications involving the influence of tributaries on Great Lakes habitats (e.g., sediment, nutrients, etc.) and connections between the Great Lakes and their tributaries. For instance, this dataset has been used to calculate distances to in-stream barriers such as those inventoried for Sea Lamprey barrier management.
Great Lakes Reef Point Locations

Known reef point locations were compiled from various data sources including the U.S. Geographic Naming Information System (GNIS), Ontario Ministry of Natural Resources and Forestry Lake Huron known reef locations (also in Environment Canada's Environmental Sensitivity Index), U.S. Fish and Wildlife Service reports to the Great Lakes Fishery Commission, U.S. Geological Survey northern Lake Michigan LiDAR collection, and published manuscripts from Edsall and Jude.
Great Lakes Hydrogeoform Classes

The hydrogeoforms were derived from 8 depth classes and 3 relief classes following methods described in Gallant et al. (2005). GLAHF bathymetry layers were reclassified into 8 depth classes: 0-15 m; 15-30 m; 30-45 m; 45-90 m; 90-135 m; 135-180 m; 180-360 m; and >360 m. The relief layer was derived from the baythmetry layers using the Spatial Analyst Focal Statistics Tool using a circle neighboorhood with a 500 m radius. The relief layer was reclassifed into 3 classes, 0-2.5 m; 2.5-15 m; and 15-283 m. The reclassified bathymetry and relief layers were added together to create 24 unique classes and then standardized to the GLAHF 30 m framework spatial grid.
Lake Superior Bathymetry

Great Lakes bathymetry has been compiled as a component of a NOAA project to synthesize Great Lakes lake floor geological and geophysical data and make it more accessible to the public. The project is a cooperative effort between investigators at the NOAA National Geophysical Data Center's Marine Geology, Geophysics Division (NGDC/MGG) and the NOAA Great Lakes Environmental Research Laboratory (GLERL) with data development utilizing the entire historic sounding data base. The entire historic hydrographic sounding data base from the U.S. and Canada, originally collected for nautical charting purposes, was used to create a complete and accurate representation of Lake Ontario bathymetry. The U.S. data primarily came from the NOS Hydrographic Survey Data. These and other bathymetric sounding data collected by the U.S. National Ocean Service's (NOS) Coast Survey and the U. S. Army Corps of Engineers was employed to construct bathymetric contours at 1 meter intervals from 1-10 meters depth and 2 meter intervals at depths greater than 10 meters. Compilation map scales ranged from 1:10,000 to 1:50,000. Bathymetric sounding data collected by the Canadian Hydrographic Service (CHS) were employed to construct bathymetric contours at 1 meter intervals and compilation map scales ranging from 1:1,000 to 1:30,000. Digitization of the bathymetric contours and merging of the bathymetric contour data sets was accomplished at the NGDC. Multibeam bathymetric data collected by the University of New Brunswick's Ocean Mapping Group (UNB-OMG), with support of the Geological Survey of Canada (GSC) and the CHS, were kindly made available in gridded form. In the two areas where multibeam bathymetric data were available, no other bathymetric data were used in the compilations. In some areas all available Canadian and U. S. bathymetric sounding data, collected at different times on different survey expeditions, were used to derive the contours. The U.S. coastline used was primarily derived from the GLERL Medium Resolution Vector Shoreline dataset (Lee, 1998). Where move coverage was needed, the NOS Medium Resolution Vector Shoreline for the Conterminous U.S. (1994) dataset was used. Coastlines from the CHS bathymetric sounding data field sheets were used to complete the Canadian coastline. Images were constructed using the publicly-available software Generic Mapping Tools (GMT).
Lake Ontario Bathymetry

Great Lakes bathymetry has been compiled as a component of a NOAA project to synthesize Great Lakes lake floor geological and geophysical data and make it more accessible to the public. The project is a cooperative effort between investigators at the NOAA National Geophysical Data Center's Marine Geology, Geophysics Division (NGDC/MGG) and the NOAA Great Lakes Environmental Research Laboratory (GLERL) with data development utilizing the entire historic sounding data base. The entire historic hydrographic sounding data base from the U.S. and Canada, originally collected for nautical charting purposes, was used to create a complete and accurate representation of Lake Ontario bathymetry. The U.S. data primarily came from the NOS Hydrographic Survey Data. These and other bathymetric sounding data collected by the U.S. National Ocean Service's (NOS) Coast Survey and the U. S. Army Corps of Engineers was employed to construct bathymetric contours at 1 meter intervals from 1-10 meters depth and 2 meter intervals at depths greater than 10 meters. Compilation map scales ranged from 1:10,000 to 1:50,000. Bathymetric sounding data collected by the Canadian Hydrographic Service (CHS) were employed to construct bathymetric contours at 1 meter intervals and compilation map scales ranging from 1:1,000 to 1:30,000. Digitization of the bathymetric contours and merging of the bathymetric contour data sets was accomplished at the NGDC. Multibeam bathymetric data collected by the University of New Brunswick's Ocean Mapping Group (UNB-OMG), with support of the Geological Survey of Canada (GSC) and the CHS, were kindly made available in gridded form. In the two areas where multibeam bathymetric data were available, no other bathymetric data were used in the compilations. In some areas all available Canadian and U. S. bathymetric sounding data, collected at different times on different survey expeditions, were used to derive the contours. The U.S. coastline used was primarily derived from the GLERL Medium Resolution Vector Shoreline dataset (Lee, 1998). Where move coverage was needed, the NOS Medium Resolution Vector Shoreline for the Conterminous U.S. (1994) dataset was used. Coastlines from the CHS bathymetric sounding data field sheets were used to complete the Canadian coastline. Images were constructed using the publicly-available software Generic Mapping Tools (GMT).
Lake Michigan Bathymetry

Great Lakes bathymetry has been compiled as a component of a NOAA project to synthesize Great Lakes lake floor geological and geophysical data and make it more accessible to the public. The project is a cooperative effort between investigators at the NOAA National Geophysical Data Center's Marine Geology, Geophysics Division (NGDC/MGG) and the NOAA Great Lakes Environmental Research Laboratory (GLERL) with data development utilizing the entire historic sounding data base. The entire historic hydrographic sounding data base from the U.S. and Canada, originally collected for nautical charting purposes, was used to create a complete and accurate representation of Lake Ontario bathymetry. The U.S. data primarily came from the NOS Hydrographic Survey Data. These and other bathymetric sounding data collected by the U.S. National Ocean Service's (NOS) Coast Survey and the U. S. Army Corps of Engineers was employed to construct bathymetric contours at 1 meter intervals from 1-10 meters depth and 2 meter intervals at depths greater than 10 meters. Compilation map scales ranged from 1:10,000 to 1:50,000. Bathymetric sounding data collected by the Canadian Hydrographic Service (CHS) were employed to construct bathymetric contours at 1 meter intervals and compilation map scales ranging from 1:1,000 to 1:30,000. Digitization of the bathymetric contours and merging of the bathymetric contour data sets was accomplished at the NGDC. Multibeam bathymetric data collected by the University of New Brunswick's Ocean Mapping Group (UNB-OMG), with support of the Geological Survey of Canada (GSC) and the CHS, were kindly made available in gridded form. In the two areas where multibeam bathymetric data were available, no other bathymetric data were used in the compilations. In some areas all available Canadian and U. S. bathymetric sounding data, collected at different times on different survey expeditions, were used to derive the contours. The U.S. coastline used was primarily derived from the GLERL Medium Resolution Vector Shoreline dataset (Lee, 1998). Where move coverage was needed, the NOS Medium Resolution Vector Shoreline for the Conterminous U.S. (1994) dataset was used. Coastlines from the CHS bathymetric sounding data field sheets were used to complete the Canadian coastline. Images were constructed using the publicly-available software Generic Mapping Tools (GMT).