CDFW BIOS GIS Dataset, Contact: Melanie Gogol-Prokurat, Description: CWHR Predicted Habitat Suitability. This dataset represents areas of suitable habitat within the species ranges based on California Wildlife Habitat Relationships (CWHR 2016) and a statewide best-available vegetation map (FVEG2015, FRAP 2015).

This map service is a synthesis of the baseline characterization of kelp and shallow rock ecosystems inside and outside of several North Central Coast (NCC) MPAs at the time of their implementation. MPAs in the NCC study region (NCCSR) were implemented on May 1, 2010. Baseline characterizations were conducted by the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) between August and October of 2010 and 2011. Visual SCUBA surveys took place at sites within MPAs and at their associated reference sites (sites outside MPA) to establish quantitative baselines for measuring future MPA effects (i.e., changes in community structure due to MPA implementation). This particular map service focuses on PISCOs characterization of fish communities aimed at estimating fish densities and fish size distribution. Refer to the following link for specifics regarding PISCOs “fish survey design” and “fish sampling methodology”: http://www.piscoweb.org/research/science-by-discipline/ecosystem-monitoring/kelp-forest-monitoring/subtidal-sampling-protoco#FishSurvey.Surveys for baseline characterization of kelp forest communities focused on the following MPAs: Point Arena SMR; Sea Lion Cove SMCA; Saunders Reef SMCA; Del Mar SMR; Stewarts Point SMR/SMCA; and Salt Point SMCA. From Point Arena to Salt Point, 35 cells (fundamental sampling units) were sampled via fish transects (inside and outside of MPAs) using stratified sampling across shore and at various depths in the kelp forests (5m, 10m, 15m and 20m). Utilizing PISCOs GPS coordinates of the 35 study cells (points), and details from PISCOs methods (see link above), we created estimated footprints of the areas in which these transects were surveyed (the 35 fundamental sampling units). From there, we also estimated the aggregated site polygons (aggregate sampling units) that comprise either an MPA or an MPA reference site; this resulted in 12 new polygons that were representative of the kelp and shallow rock ecosystems surv

These data provide an accurate high-resolution shoreline compiled from imagery of NORTHERN VERMILION BAY, LA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

The Geological Atlas of the Western Canada Sedimentary Basin was designed primarily as a reference volume documenting the subsurface geology of the Western Canada Sedimentary Basin. This GIS dataset is one of a collection of shapefiles representing part of Chapter 11 of the Atlas, Devonian Beaverhill Lake Group of the Western Canada Sedimentary Basin, Figure 16c, Fort Vermilion and Equivalent Lithofacies. Shapefiles were produced from archived digital files created by the Alberta Geological Survey in the mid-1990s, and edited in 2005-06 to correct, attribute and consolidate the data into single files by feature type and by figure.

The Geological Atlas of the Western Canada Sedimentary Basin was designed primarily as a reference volume documenting the subsurface geology of the Western Canada Sedimentary Basin. This GIS dataset is one of a collection of shapefiles representing part of Chapter 11 of the Atlas, Devonian Beaverhill Lake Group of the Western Canada Sedimentary Basin, Figure 16b, Fort Vermilion and Equivalent Lithofacies. Shapefiles were produced from archived digital files created by the Alberta Geological Survey in the mid-1990s, and edited in 2005-06 to correct, attribute and consolidate the data into single files by feature type and by figure.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

Kickapoo State Recreation Area, located only five miles west of Danville, Illinois, is home to some of the best mountain bike trails in the Midwest. This trail system contains more than 22 miles of cross-country single track. Visitors to this park will discover trails with technical features and flowy sections, intense climbs and bombing descents. There's just about anything a mountain biker could want. You'll definitely forget you're in Illinois.Danville, located between Chicago, St Louis and Indianapolis, is perfectly placed for a day trip. But if you want a longer stay, check out the many lodging options in Danville or Kickapoo"s campground. And if you"re just passing through the area, be sure to bring your bike. You"ll be glad you made the journey! Because these bike trails are news worthy.

The Geological Atlas of the Western Canada Sedimentary Basin was designed primarily as a reference volume documenting the subsurface geology of the Western Canada Sedimentary Basin. This GIS dataset is one of a collection of shapefiles representing part of Chapter 11 of the Atlas, Devonian Beaverhill Lake Group of the Western Canada Sedimentary Basin, Figure 16c, Fort Vermilion and Equivalent Lithofacies. Shapefiles were produced from archived digital files created by the Alberta Geological Survey in the mid-1990s, and edited in 2005-06 to correct, attribute and consolidate the data into single files by feature type and by figure.

Orthomosaic map of the June 13, 2023, Claysmore (Vermilion), AB downburst generated in DroneDeploy via drone imagery collected on June 16, 2023. DJI Mavic 2 Pro collected 123 images. Please note that imagery may be distorted on the edges of the orthomosaic map.View Event Summary Map here

These data were automated to provide an accurate high-resolution historical shoreline of Vermilion to Fairport Harbor suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

Event Investigation Map for the June 13, 2023, Claysmore, AB downburst. Ground survey conducted June 16, 2023. Map includes ground photos, survey route, worst damage point, and downburst area. View Event Summary Map here

Analysis of ‘Vermilion Flycatcher Range - CWHR B324 [ds1563]’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e2dcd58f-2898-4569-bd63-127f1c6467fa on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

--- Original source retains full ownership of the source dataset ---

FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme, orthographic imagery, is packaged in a separate NFIP Metadata Profile): cadastral, geodetic control, governmental unit, transportation, general structures, hydrography (water areas & lines. These data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features. (Source: Circular A16, p. 13)

This map service is a synthesis of the baseline characterization of kelp and shallow rock ecosystems inside and outside of several North Central Coast (NCC) MPAs at the time of their implementation. MPAs in the NCC study region (NCCSR) were implemented on May 1, 2010. Baseline characterizations were conducted by the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) between August and October of 2010 and 2011. Visual SCUBA surveys took place at sites within MPAs and at their associated reference sites (sites outside MPA) to establish quantitative baselines for measuring future MPA effects (i.e., changes in community structure due to MPA implementation). This particular map service focuses on PISCO's characterization of fish communities aimed at estimating fish densities and fish size distribution. Refer to the following link for specifics regarding PISCO's “fish survey design” and “fish sampling methodology”: https://piscoweb.org/kelp-forest-sampling-protocols.Surveys for baseline characterization of kelp forest communities focused on the following MPAs: Point Arena SMR; Sea Lion Cove SMCA; Saunders Reef SMCA; Del Mar SMR; Stewarts Point SMR/SMCA; and Salt Point SMCA. From Point Arena to Salt Point, 35 cells (fundamental sampling units) were sampled via fish transects (inside and outside of MPAs) using stratified sampling across shore and at various depths in the kelp forests (5m, 10m, 15m and 20m). Utilizing PISCO's GPS coordinates of the 35 study cells (points), and details from PISCO's methods (see link above), we created estimated footprints of the areas in which these transects were surveyed (the 35 fundamental sampling units). From there, we also estimated the aggregated site polygons (aggregate sampling units) that comprise either an MPA or an MPA reference site; this resulted in 12 new polygons that were representative of the kelp and shallow rock ecosystems surveyed by PISCO. Stewarts Point SMR and SMCA are combined in the survey summaries to make up one of the ‘aggregate sampling units’ and therefore those feature classes have 11 instead of 12 features.These estimated study areas (fundamental and aggregate sampling units) were then used to synthesize and represent PISCO's fish survey results into the following map service product. The map service is a conglomeration of fish density and fish length metrics for the regions most abundant rockfish and non-rockfish species. The original PISCO data set used to comprise this map service can be found and downloaded at the following Ocean Spaces link: http://oceanspaces.org/data/north-central-coast-pisco-surveys-fish-shallow-rocky-reefs-and-kelp-forest-habitats-2010-2011.The complete ESRI ArcMap project and source summary data can be downloaded at the following California Department of Fish and Wildlife link: ftp://ftp.wildlife.ca.gov/R7_MR/BIOLOGICAL/NCCSR_MPAbaseline_PISCOsubtidal_2010-2011.zip

Ground survey route covered by NTP team for the June 13, 2023, Claysmore, AB downburst. Ground survey conducted June 16, 2023. Survey route tracked by iPads while surveying in car and on foot. View Event Summary Map here

Geospatial data about Texas Bathymetry. Export to CAD, GIS, PDF, CSV and access via API.

Getis-Ord Gi* analysis of red grouper capture from observations recorded by NOAA Fisheries Service Galveston Laboratory Gulf of Mexico Reef Fish Observer Program 2007-2013 (7,201 sets made during 272 trips). Average capture summarized by 15 minute grid blocks. The ‘hot spot’, or Getis-Ord Gi* statistic, is used to detect clusters of high or low catch per unit effort (CPUE) values. In ArcGIS™, the ‘hot spot’ tool looks at the value of each feature in relation to the values for its neighboring features. A statistically significant Z-score results if the sum for a feature and its neighbors, when compared proportionally to the sum of all features, is different from what is expected. If a feature is surrounded by neighbors with similarly high (or low) values, then it is part of a statistically significant hot (or cold) spot.

Geospatial data about Dakota County, Minnesota Vermillion River Watershed Hydrologic Subwatersheds. Export to CAD, GIS, PDF, CSV and access via API.

Outlines of areas mined for the Wade Coal in Illinois. Mining in this seam ceased ca. 1940. This information was extracted from detailed coal mine data stored in the ISGS Coal Section library database. Lines delineate the approximate outer boundary of individual mines (if known) or general mined areas. Interior mine boundaries such as pillars or small blocks of unmined coal are commonly not depicted. Outlines have been compiled from a variety of sources. Outlines of areas mined before 1987 are commonly from source maps at scales of 1:62,500 or smaller. Outlines of areas mined since 1987 are commonly digitized at scales ranging from 1:4800 to 1:12,000. Mines whose extent is not known or which only mined a few acres are not included in this coverage. Additional information is available from the Coal Section of the Illinois State Geological Survey. Mine outlines from completed Coal Mine Quadrangle Studies were included in this feature class if applicable. An ongoing study, the detailed Coal Mine Quadrangle maps depict the best-known position of mine boundaries with respect to individual properties as located on a USGS topographic map image base. For a list of completed quadrangles please visit the ISGS Coal Section website or contact the Coal Section. This datafile was compiled and updated in 2014 in order to provide a current, state-wide data set showing surface and underground coal mines of the Wade Coal. Due to the wide range of source map scales, these data are suitable for regional applications only at the 1:100,000 scale or smaller.

© Data capture, compilation and library maintenance: Marge Bargh, Colin Treworgy, and other ISGS Coal Section staff Compilation of library tiles to create this product: Chris Korose Documentation: Cheri Chenoweth, Chris Korose, and Alan Myers Quality Review: Cheri Chenoweth, Chris Korose, and Alan Myers This layer is a component of IlMines V2.

TEST ILMINES version 2

© ISGS