AndreaBozzo/ceres-open-data-index huggingface dataset:
Lake Huron 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 Erie 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).
Great Lakes Coastal Wetlands GLCWC Grid

The Great Lakes Coastal Wetland Inventory was developed through the Great Lakes Coastal Wetland Consortium (GLCWC) as a bi-national initiative to create a single, hydrogeomorphically classified inventory of all coastal wetlands of the Great Lakes basin. This inventory is built upon the most comprehensive coastal wetland data currently available for the Great Lakes and connecting channels. For the U.S., National Wetlands Inventory (NWI); Wisconsin Wetland Inventory (WWI); Ohio Wetland Inventory (OWI); and U.S. Fish and Wildlife Service (USFWS) reports and corresponding topographic maps by Charles E. Herdendorf which describe coastal wetlands in the Great Lakes Basin (Herdendorf Wetland Inventory, HWI); are the major datasets included. Additional wetland projects were utilized for each lake if available. The Canadian dataset is built off 'The Ontario Great Lakes Coastal Wetland Atlas'. Published in March 2003, this document summarized all known data to-date for coastal wetlands and identifies numerous data gaps in the current information. Ontario Ministry of Natural Resources (OMNR) digital Evaluated Wetlands polygon data provided the spatial extents for digital wetland boundaries where available. Data gaps have been filled in using air photograph interpretation following National Biological Service guidelines, and digitization techniques following GLCWC guidelines. The inventory contains the spatial extents, hydrogeomorphic classification, name, centroid position and area measurement for all known coastal wetlands of the Great Lakes basin. Hydrological modifiers imposing on each system are also identified. Hydrogeomorphology dictates wetland delineations per criteria developed by the Great Lakes Coastal Wetlands Consortium (GLCWC) working group and described in the Great Lake Commission's (GLC) Great Lakes Coastal Wetlands Classification First Revision (July 2003; original November 2001). These data are not intended for use finer than scale of sources used. The Inventory includes both a point, GLCWC_CWI and polygon coverage, GLCWC_CWI_pt. The orginial polygon layer was converted to a 30m gridded (by cell center) product by HGM Class 1 to work with the GLAHF framework.
Great Lakes Basin

Input datasets for basin delineation included the USGS National Hydrography Dataset (NHD) Plus version 2 (2012) and the Ontario Integrated Hydrology Dataset (OIHD; 2012). See Forsyth, D. K., Riseng, C. M., Wehrly, K. E., Mason, L. A., Gaiot, J., Hollenhorst, T., Johnston, C.M., Wyrzykowski, C., Annis, G., Castiglione, C., Todd, Robertson, M., Infante, D., Wang, L., McKenna, J., and Whelan, G. (2016). The Great Lakes hydrography dataset: consistent, binational watersheds for the Laurentian Great Lakes basin. JAWRA Journal of the American Water Resources Association, 52(5), 1068-1088.
Great Lakes High Resolution Islands

The following outlines the deviations in this dataset from the NHD 1:24,000 open water polygons: NHD 1:24,000 data did not exist for the Canadian side of Lake Huron at time of completion. For this shoreline, the summarized NHN 1:20,000 shoreline was used from the synchronized Watershed Boundary Dataset (NHN data is available in ~50 work units for the Great Lakes and would have been time consuming to process). The NHN shoreline included in the WBD did not cover the St. Marys River, so a shoreline layer provided by the Ontario Ministry of Natural Resources (OMNR) that was created from the Ontario Hydro Network (OHN) was used. Islands for the St. Marys River and some larger islands in Lake Huron were added from the NHN. A small number of islands that were notably missing were digitized and added to the Lake Michigan layer at the 1:24,000 scale. A set of EPA bays was used to add additional, prominent bays and some river mouths to the Great Lakes shoreline basin wide. Source data download dates: National Hydrography Dataset 1:24,000 (1/13/2013); Watershed Boundary Dataset (acquired 1/7/13 from the USGS); NHN (downloaded 1/23/2013); OHN Shoreline (acquired 12/16/2013 from OMNR).
Great Lakes Basin Boundaries

Input datasets for basin delineation included the USGS National Hydrography Dataset (NHD) Plus version 2 (2012) and the Ontario Integrated Hydrology Dataset (OIHD; 2012). See Forsyth, D. K., Riseng, C. M., Wehrly, K. E., Mason, L. A., Gaiot, J., Hollenhorst, T., Johnston, C.M., Wyrzykowski, C., Annis, G., Castiglione, C., Todd, Robertson, M., Infante, D., Wang, L., McKenna, J., and Whelan, G. (2016). The Great Lakes hydrography dataset: consistent, binational watersheds for the Laurentian Great Lakes basin. JAWRA Journal of the American Water Resources Association, 52(5), 1068-1088.
Great Lakes Tributaries Fish Access

The tributary segments included in this data layer were obtained from the National Hydrography Dataset (NHD) Plus version 2 and the Ontario Integrated Hydrology Dataset (OIHD) version 1.0 (2012). The dams and barriers identified and snapped to the tributaries were the National Anthropogenic Barrier Dataset (2013) in the U.S. and the Ontario Dam Inventory (2014). Using the methods developed by A. Cooper and explained in Cooper (2013) and Cooper et al. (2017) all lengths of tributaries between the most downstream dams and the Great Lakes were identified.
Great Lakes Coastal Wetlands Polygons GLCWC

The Great Lakes Coastal Wetland Inventory was developed through the Great Lakes Coastal Wetland Consortium (GLCWC) as a bi-national initiative to create a single, hydrogeomorphically classified inventory of all coastal wetlands of the Great Lakes basin. This inventory is built upon the most comprehensive coastal wetland data currently available for the Great Lakes and connecting channels. For the U.S., National Wetlands Inventory (NWI); Wisconsin Wetland Inventory (WWI); Ohio Wetland Inventory (OWI); and U.S. Fish and Wildlife Service (USFWS) reports and corresponding topographic maps by Charles E. Herdendorf which describe coastal wetlands in the Great Lakes Basin (Herdendorf Wetland Inventory, HWI); are the major datasets included. Additional wetland projects were utilized for each lake if available. The Canadian dataset is built off 'The Ontario Great Lakes Coastal Wetland Atlas'. Published in March 2003, this document summarized all known data to-date for coastal wetlands and identifies numerous data gaps in the current information. Ontario Ministry of Natural Resources (OMNR) digital Evaluated Wetlands polygon data provided the spatial extents for digital wetland boundaries where available. Data gaps have been filled in using air photograph interpretation following National Biological Service guidelines, and digitization techniques following GLCWC guidelines. The inventory contains the spatial extents, hydrogeomorphic classification, name, centroid position and area measurement for all known coastal wetlands of the Great Lakes basin. Hydrological modifiers imposing on each system are also identified. Hydrogeomorphology dictates wetland delineations per criteria developed by the Great Lakes Coastal Wetlands Consortium (GLCWC) working group and described in the Great Lake Commission's (GLC) Great Lakes Coastal Wetlands Classification First Revision (July 2003; original November 2001). These data are not intended for use finer than scale of sources used. The Inventory includes both a point, GLCWC_CWI and polygon coverage, GLCWC_CWI_pt. The orginial polygon layer was converted to a 30m gridded (by cell center) product by HGM Class 1 to work with the GLAHF framework.
Great Lakes Basin Quaternary Geology

The quaternary geology layer was compiled from the USGS Quaternary Geologic Atlas of the United States by quadrangle. The quadrangles used for this layer include NM-15, NM-16, NL-15, NL-16, NL-17, NL-18, NK-16, NK-17, and NK-18. 17. High level, common geology classes were defined and all quaternary types were assigned to these common classes. Clases include: artifical till; coarse-textured, medium-textured, and fine-textured glacial till; dune sand; end moraines of coarse-textured, medium-textured, and fine-textured till; exposed bedrock surfaces; glacial outwash sand/gravel & postglacial alluvium; ice-contact outwash sand and gravel; lacustrine clay and silt; lacustrine sand and gravel; peat and muck; postglacial alluvium; thin to discontinuous glacial till over bedrock; and water. The layer was dissolved by common class name and attributed to the GLAHF project 30 m spatial grid.
Great Lakes Basin Bedrock Geology

The bedrock geology layer was compiled from the USGS integrated geologic map database and the Ontario Ministry of Northern Development and Mines bedrock geology layer. 10 high level, common classes were defined and all bedrock types were assigned to these common classes. Classes include: carbonate, crystalline - igneous, crystalline - metamorphic, evaporite, iron formation, sandstone, shale, slate, unconsolidated, water. The layer was dissolved by common class name and attributed to the GLAHF project 30 m spatial grid.
Great Lakes State and Provincial Land Cover 2011 to 2012

For this crosswalk, we selected the NLCD (2011 version) and the Canadian SOLRIS 2.0 because they were created from imagery collected in approximately the same time framesand because they were comparable to the 2001 NLCD and the 2000 SOLRIS v1.2. However, a comparable layer from the same time period was not available for Northern Ontario. While the 2005-2011 Far North Land Cover 1.4 was available, it did not cover the entire extent of the 2000 PLO, and the classification scheme was very different from the 2000 PLO. This made it difficult to compare the two datasets as there were large differences in the distribution of classes due to classification scheme and mapping differences, resulting in artificially high land cover change statistics (see Far North Land Cover Data Specifications Version 1.4). As a result, we have incorporated the 2000 PLO for Northern Ontario, but will reevaluate the crosswalk as new data becomes available. To process these data, we first clipped each input data layer by the extent of the Great Lakes states and the Province of Ontario. Next, we reclassified the raster values using the Reclassify tool, changing the original values to crosswalked values. Next we projected the data into the standardized projection used by the Great Lakes Aquatic Habitat Framework (GLAHF) USA Contiguous Albers Equal Area Conic USGS projection and resampled the pixel size to 30 meters, the standard projection and pixel size for the Great Lakes Aquatic Habitat Framework (GLAHF). We then created a mosaic using Mosaic to New Raster, incorporating the waters of the Great Lakes as the value â€œ1â€, using the shoreline of the watersheds in the GLAHF Hydrology Data Package V1 as a mask. Land cover/land use codes: 1 = Great Lakes Waters; 11 = Water; 2 = Developed; 31 = Barren Land; 41 = Deciduous Forest; 42 = Evergreen Forest; 43 = Evergreen Forest; 43 = Mixed Forest; 52 = Scrub/Shrub; 71 = Grassland/Herbaceous; 8 = Agriculture; 90 = Forested Wetland; 95 = Emergent Wetland; 98 = Other/Undefined.
Great Lakes State and Provincial Land Cover 2000 to 2001

We created a mosaic of the U.S. NLCD 01 (2001 edition) and the Canadian 2000 PLO and the SOLRIS v1.2. We selected these datasets since they were created from imagery collected in approximately the same time frames, included similar categories, and covered the full extent of the Great Lakes Basin. To process the data, we first clipped each input data layer by the extent of the Great Lakes states and the Province of Ontario. Next, we reclassified the raster values using the Reclassify tool, changing the original values to crosswalked values. Next, we projected the data into the standardized projection used by the Great Lakes Aquatic Habitat Framework (GLAHF) USA Contiguous Albers Equal Area Conic USGS projection and resampled the pixel size to 30 meters, the standard projection and pixel size for the Great Lakes Aquatic Habitat Framework (GLAHF). We then created a mosaic using Mosaic to New Raster, incorporating the waters of the Great Lakes using the shoreline of the watersheds in the GLAHF Hydrology Data Package V1 as a mask. Land cover/land use codes: 1 = Great Lakes Waters; 11 = Water; 2 = Developed; 31 = Barren Land; 41 = Deciduous Forest; 42 = Evergreen Forest; 43 = Evergreen Forest; 43 = Mixed Forest; 52 = Scrub/Shrub; 71 = Grassland/Herbaceous; 8 = Agriculture; 90 = Forested Wetland; 95 = Emergent Wetland; 98 = Other/Undefined.
Great Lake Basin US Roads

TIGER/Line shapefiles and related database files are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.
Great Lakes Mean Monthly DFO Buoy Data 1989 to 2013

All buoys located, with data available, in the Ontario waters of the Great Lakes were obtained. Data for each of the buoys is available at different time steps and over different months and years. The Great Lakes Aquatic Habitat Framework (GLAHF) project computed summary statistics for annually, monthly, and season where WvHgt_Mean is mean significant wave height (meters); WvHgt_Max is maximum significant wave height (meters); WVDIR_mean is mean wind direction (degrees clockwise from N); WVPRD_mean is mean wave period (seconds); WNDSPD_Mean is mean windspeed (meters / second); Gust_Mean is mean gust in (meters / second); AtmoPress_Mean is mean sea level atmospheric pressure (mb); AirTemp_mean is mean dry bulb air temperature (Celsius); and WtrTemp_mean is mean surface water temperature (Celsius). NOTE: all statistics were calculated for all available data for a given year, month or season. No data values are designated as "9999".
Great Lakes Mean Annual DFO Buoy Data 1989 to 2013

All buoys located, with data available, in the Ontario waters of the Great Lakes were obtained. Data for each of the buoys is available at different time steps and over different months and years. The Great Lakes Aquatic Habitat Framework (GLAHF) project computed summary statistics for annually, monthly, and season where WvHgt_Mean is mean significant wave height (meters); WvHgt_Max is maximum significant wave height (meters); WVDIR_mean is mean wind direction (degrees clockwise from N); WVPRD_mean is mean wave period (seconds); WNDSPD_Mean is mean windspeed (meters / second); Gust_Mean is mean gust in (meters / second); AtmoPress_Mean is mean sea level atmospheric pressure (mb); AirTemp_mean is mean dry bulb air temperature (Celsius); and WtrTemp_mean is mean surface water temperature (Celsius). NOTE: all statistics were calculated for all available data for a given year, month or season. No data values are designated as "9999".
Great Lakes Mean Spring DFO Buoy Data 1989 to 2013

All buoys located, with data available, in the Ontario waters of the Great Lakes were obtained. Data for each of the buoys is available at different time steps and over different months and years. The Great Lakes Aquatic Habitat Framework (GLAHF) project computed summary statistics for annually, monthly, and season where WvHgt_Mean is mean significant wave height (meters); WvHgt_Max is maximum significant wave height (meters); WVDIR_mean is mean wind direction (degrees clockwise from N); WVPRD_mean is mean wave period (seconds); WNDSPD_Mean is mean windspeed (meters / second); Gust_Mean is mean gust in (meters / second); AtmoPress_Mean is mean sea level atmospheric pressure (mb); AirTemp_mean is mean dry bulb air temperature (Celsius); and WtrTemp_mean is mean surface water temperature (Celsius). NOTE: all statistics were calculated for all available data for a given year, month or season. No data values are designated as "9999".
Great Lakes Mean Summer DFO Buoy Data 1989 to 2013

All buoys located, with data available, in the Ontario waters of the Great Lakes were obtained. Data for each of the buoys is available at different time steps and over different months and years. The Great Lakes Aquatic Habitat Framework (GLAHF) project computed summary statistics for annually, monthly, and season where WvHgt_Mean is mean significant wave height (meters); WvHgt_Max is maximum significant wave height (meters); WVDIR_mean is mean wind direction (degrees clockwise from N); WVPRD_mean is mean wave period (seconds); WNDSPD_Mean is mean windspeed (meters / second); Gust_Mean is mean gust in (meters / second); AtmoPress_Mean is mean sea level atmospheric pressure (mb); AirTemp_mean is mean dry bulb air temperature (Celsius); and WtrTemp_mean is mean surface water temperature (Celsius). NOTE: all statistics were calculated for all available data for a given year, month or season. No data values are designated as "9999".
Great Lakes Mean Annual NOAA Buoy Data 1983 to 2013

All buoys located, with data available, in the U.S. waters of the Great Lakes were obtained. Data for each of the buoys is available at different time steps and over different months and years. The Great Lakes Aquatic Habitat Framework (GLAHF) project computed summary statistics for annually, monthly, and season where WNDSPD_Mean is mean windspeed (meters / second); WNDDIR_mean is mean wind direction (degrees clockwise from N); Gust_Mean is mean gust in (meters / second); WvHgt_Mean is mean significant wave height (meters); WvHgt_Max is maximum significant wave height (meters); DomWvPrd_mean is mean dominate wave period which is the period with maximum energy (seconds); AvgWvPrd_mean is mean wave period (seconds); MnWvDir_mean is mean wave direction (degrees clockwise from N); AtmoPress_Mean is mean atmospheric pressure (hPa); AirTemp_mean is mean air temperature (Celsius); and WtrTemp_mean is mean water temperature (Celsius). NOTE: all statistics were calculated for all available data for a given year, month or season. No data values are designated as "9999".