This data set delineates the boundaries of the U.S. Fish and Wildlife Service geographic Regions. The dataset was created as a geographic representation of the Regional administrative boundaries of the US Fish and Wildlife Service at a very coarse scale. The boundaries were created using the ArcGIS shoreline dataset from approximately 1995. This dataset should not be used for legal purposes or at small scales and does not accurately denote the shorelines of the united states. The Regional Boundaries data set is managed by the FWS Headquarters Information Resources and Technology Management, Branch of Geospatial Data Management. The complete data and metadata can be accessed here: https://catalog.data.gov/dataset/us-fish-and-wildlife-service-regional-boundaries. This data set is a graphical representation and has limitations of accuracy as determined by, among others, the source, scale and resolution of the data. DOI Interior Regions / Regional Boundaries (https://fws.maps.arcgis.com/home/item.html?id=309aa728d6c041ceaefc1526a409b5d1).

Geologic studies of the upper Chena River area were undertaken in 1983 as part of the Interior Mining District Evaluation Program, a series of projects designed to develop new information on known mineral districts in interior Alaska. During the three-year course of the program, geologists examined four districts that have contributed significantly to historical gold production in Alaska's Interior, Fairbanks, Livengood, Richardson, and upper Chena River. The complete report, geodatabase, and ESRI fonts and style files are available from the DGGS website: http://doi.org/10.14509/2315.

Internal Knowledge Map: Experiments in Deeper Understanding and Novel Thinking for LLMs

Designed for Cross-Discipline/Interconnected Critical Thinking, Nuanced Understanding, Diverse Role Playing and Innovative Problem Solving By integrating a cohesively structured dataset emphasizing the interconnectedness of knowledge across a myriad of domains, exploring characters/role playing/community discourse, solving impossible problems and developing inner dialogues; this project aspires… See the full description on the dataset page: https://huggingface.co/datasets/Severian/Internal-Knowledge-Map.

This geospatial dataset provides model-based predictive maps of subsistence land use in rural Interior Alaska. Subsistence harvesting of wild resources is crucial to the well-being of Alaska Natives and rural Alaskans. The development of these community and regional scale maps was intended to improve our understanding of the spatial extent and patterns of subsistence practices, to support communication among land users, and to facilitate predictions of the human impacts from changes in resource availability, climate and environment, land use, and policy. Logistic regression models for predicting subsistence land use were developed using publicly-available maps of documented subsistence use areas assembled by Alaska Department of Fish and Game for 30 communities (Neufeld et al. 2019). Separate models were used for remote communities and road-connected communities. The best-fit models of subsistence land use probability included the terms: distance to community, distance to main travel corridors (rivers for remote communities; roads and rivers for road-connected communities), distance to lakes (for remote communities only), and community population size. The models were applied to 64 rural communities throughout the Interior region to generate probability maps of subsistence land use at the community level (file names: probability_subsistence_*communitytype*_*CommunityName*.tif). A regional probability map of subsistence land use was constructed using the maximum probability value per pixel from community-level maps (file name: probability_subsistence_InteriorAK.tif). Maps of predicted subsistence use areas were created by classifying the community-level probability maps into used and unused areas (file name: classification_subsistence_InteriorAK.zip). Classification accuracy ranged from 83-86%. Results suggest a large spatial extent (353,771 square kilometers (km2)) of subsistence land use in Interior Alaska, comprising ~60% of the region’s land area. These data were produced as part of a study “Geospatial patterns and models of subsistence land use in rural Interior Alaska” by D. R. N. Brown, T. J. Brinkman, G. Neufeld, L. Navarro, C. L. Brown, H. S. Cold, B. L. Woods, and B. L. Ervin published with Ecology and Society (Brown et al., 2022), https://www.ecologyandsociety.org/vol27/iss2/art23/.

This map shows the location of the Interior Plains physiographic region. The Interior Plains occupy the region between the Shield on the east and the mountains of the Cordilleran Region on the west. They join with the St. Lawrence Lowlands of eastern Canada through the United States and are separated from the Arctic Lowlands by the Amundsen Gulf.

This is an Expansion and Subset of the Internal Knowledge Map dataset that focuses on Story Writing and Role Playing. I was curious to see if I could adapt my IKM structure and approach to improve Story Telling, Role Playing/Character/Discourse in an LLM. Here are 2,071 highly-detailed and unique examples that allow an LLM to exhibit more depth, diverse perspectives and novel interactions. Side benefit is the LLM also writes in well-formed, aesthetically pleasing formatting and is an… See the full description on the dataset page: https://huggingface.co/datasets/Severian/Internal-Knowledge-Map-StoryWriter-RolePlaying.

The global digital indoor map market is experiencing robust growth, driven by the increasing adoption of indoor navigation systems in various sectors. The market size is projected to reach $XXX million by 2033, expanding at a CAGR of XX% over the forecast period of 2025-2033. Key drivers include the rising demand for indoor mapping solutions in public sector agencies and retail establishments, the integration of advanced technologies such as augmented reality and artificial intelligence, and the growing emphasis on indoor safety and security measures. Segmentation of the digital indoor map market reveals distinct application areas including automotive navigation, mobile and the internet, public sector agencies and enterprises, and others. Types of digital indoor maps available in the market include retail indoor maps, airport indoor maps, and others. Geographic regions considered in the analysis include North America, South America, Europe, Middle East & Africa, and Asia Pacific. Leading companies operating in the digital indoor map market include WoNoBo, Bing Maps, GeoMapserver, MapQuest, ArcGIS Online, and Yahoo! Maps, among others.

The digital indoor mapping market is experiencing robust growth, driven by increasing demand for location-based services within buildings and a surge in smart building technologies. The market's expansion is fueled by several key factors: the rising adoption of smartphones and mobile navigation apps, the proliferation of indoor positioning technologies (such as Bluetooth beacons, Wi-Fi positioning, and UWB), and the growing need for improved indoor navigation in large, complex venues like airports, hospitals, and shopping malls. Businesses are leveraging digital indoor maps for enhanced customer experience, improved operational efficiency, asset tracking, and emergency response capabilities. We estimate the market size in 2025 to be around $2.5 billion, with a Compound Annual Growth Rate (CAGR) of approximately 15% projected through 2033. This growth reflects the continuous innovation in mapping technologies and the expanding applications across various sectors. Significant restraints to market expansion include the high initial investment costs associated with implementing and maintaining indoor mapping systems, the challenges related to data accuracy and consistency across different buildings, and the need for interoperability between different indoor mapping platforms. However, these challenges are being addressed through technological advancements and standardization efforts. The market is segmented by deployment type (cloud-based vs. on-premise), application (navigation, asset tracking, marketing, etc.), and end-user industry (retail, healthcare, transportation, etc.). Key players, including Google, Apple, TomTom, Baidu Maps, and others, are actively investing in research and development, driving innovation and competition within the market. The future of the digital indoor mapping market looks promising, with continued growth expected as technology matures and adoption rates increase across various sectors.

Miscellaneous Publication 172, Bedrock geologic map database of the Caribou Creek area, Big Delta C-4 and D-4 quadrangles, east-central Alaska, presents 1:25,000 scale geologic mapping of the Caribou Creek area in the Big Delta C-4 Quadrangle, east-central Alaska. The Caribou Creek area is known for significant placer gold but no known lode gold source. Additionally, it is one of the few regions in interior Alaska where native bismuth has been reported in placers. During an 11-week field campaign in the summer of 2002, an area of approximately 200 km2 was mapped at a 1:25,000 scale to delineate the area's geologic rock units, identify structural elements and their relative orientation, and collect rock samples for the geochemical and geochronological analysis needed to develop a model for the geological evolution of the area and potential source of the area's abundant placer gold. The resultant bedrock geologic map was published as a component of a University of Alaska master's thesis (Lessard, 2006). This publication release provides a modern compilation of the thesis map's GIS data. The dataset contains geologic, structural, stratigraphic, and geochronologic data organized according to the GeMS and AK GeMS mapping schemas. The geodatabase and ESRI fonts and style files are available from the DGGS website: https://doi.org/10.14509/30866.

The Digital Geologic Map of the Eastern regional map of Badlands National Monument and Vicinity, South Dakota is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcView 3.X legend (.AVL) files. The data were completed as a component of the Geologic Resource Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GIS-Geology Coverage/Shapefile Data Model (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 13N. That data is within the area of interest of Badlands National Park.

Feature layer generated from running the Derive New Locations tool in ArcGIS Online, selecting Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, New York, Connecticut, New Jersey, Pennsylvania, West Virginia, Virginia, Delaware, Maryland, Kentucky. Expression and source layers below: Expression United States State Boundaries 2018 intersects North_Atlantic_Appalachian_Region (from DOI Interior Regions / Regional Boundaries). This layer is to be used in maps and associated StoryMaps to specifically highlight the states within the U.S. Fish and Wildlife Service's North Atlantic-Appalachian Region and provide visual background.

This dataset is a compilation of available oil and gas pipeline data and is maintained by BSEE. Pipelines are used to transport and monitor oil and/or gas from wells within the outer continental shelf (OCS) to resource collection locations. Currently, pipelines managed by BSEE are found in Gulf of Mexico and southern California waters.

© MarineCadastre.gov This layer is a component of BOEMRE Layers.

This Map Service contains many of the primary data types created by both the Bureau of Ocean Energy Management (BOEM) and the Bureau of Safety and Environmental Enforcement (BSEE) within the Department of Interior (DOI) for the purpose of managing offshore federal real estate leases for oil, gas, minerals, renewable energy, sand and gravel. These data layers are being made available as REST mapping services for the purpose of web viewing and map overlay viewing in GIS systems. Due to re-projection issues which occur when converting multiple UTM zone data to a single national or regional projected space, and line type changes that occur when converting from UTM to geographic projections, these data layers should not be used for official or legal purposes. Only the original data found within BOEM/BSEE’s official internal database, federal register notices or official paper or pdf map products may be considered as the official information or mapping products used by BOEM or BSEE. A variety of data layers are represented within this REST service are described further below. These and other cadastre information the BOEM and BSEE produces are generated in accordance with 30 Code of Federal Regulations (CFR) 256.8 to support Federal land ownership and mineral resource management.

For more information – Contact: Branch Chief, Mapping and Boundary Branch, BOEM, 381 Elden Street, Herndon, VA 20170. Telephone (703) 787-1312; Email: mapping.boundary.branch@boem.gov

The REST services for National Level Data can be found here: http://gis.boemre.gov/arcgis/rest/services/BOEM_BSEE/MMC_Layers/MapServer

REST services for regional level data can be found by clicking on the region of interest from the following URL: http://gis.boemre.gov/arcgis/rest/services/BOEM_BSEE

Individual Regional Data or in depth metadata for download can be obtained in ESRI Shape file format by clicking on the region of interest from the following URL: http://www.boem.gov/Oil-and-Gas-Energy-Program/Mapping-and-Data/Index.aspx

Currently the following layers are available from this REST location:

OCS Drilling Platforms -Locations of structures at and beneath the water surface used for the purpose of exploration and resource extraction. Only platforms in federal Outer Continental Shelf (OCS) waters are included. A database of platforms and rigs is maintained by BSEE.

OCS Oil and Natural Gas Wells -Existing wells drilled for exploration or extraction of oil and/or gas products. Additional information includes the lease number, well name, spud date, the well class, surface area/block number, and statistics on well status summary. Only wells found in federal Outer Continental Shelf (OCS) waters are included. Wells information is updated daily. Additional files are available on well completions and well tests. A database of wells is maintained by BSEE.

OCS Oil & Gas Pipelines -This dataset is a compilation of available oil and gas pipeline data and is maintained by BSEE. Pipelines are used to transport and monitor oil and/or gas from wells within the outer continental shelf (OCS) to resource collection locations. Currently, pipelines managed by BSEE are found in Gulf of Mexico and southern California waters.

Unofficial State Lateral Boundaries - The approximate location of the boundary between two states seaward of the coastline and terminating at the Submerged Lands Act Boundary. Because most State boundary locations have not been officially described beyond the coast, are disputed between states or in some cases the coastal land boundary description is not available, these lines serve as an approximation that was used to determine a starting point for creation of BOEM’s OCS Administrative Boundaries. GIS files are not available for this layer due to its unofficial status.

BOEM OCS Administrative Boundaries - Outer Continental Shelf (OCS) Administrative Boundaries Extending from the Submerged Lands Act Boundary seaward to the Limit of the United States OCS (The U.S. 200 nautical mile Limit, or other marine boundary)For additional details please see the January 3, 2006 Federal Register Notice.

BOEM Limit of OCSLA ‘8(g)’ zone - The Outer Continental Shelf Lands Act '8(g) Zone' lies between the Submerged Lands Act (SLA) boundary line and a line projected 3 nautical miles seaward of the SLA boundary line. Within this zone, oil and gas revenues are shared with the coastal state(s). The official version of the ‘8(g)’ Boundaries can only be found on the BOEM Official Protraction Diagrams (OPDs) or Supplemental Official Protraction described below.

Submerged Lands Act Boundary - The SLA boundary defines the seaward limit of a state's submerged lands and the landward boundary of federally managed OCS lands. The official version of the SLA Boundaries can only be found on the BOEM Official Protraction Diagrams (OPDs) or Supplemental Official Protraction Diagrams described below.

Atlantic Wildlife Survey Tracklines(2005-2012) - These data depict tracklines of wildlife surveys conducted in the Mid-Atlantic region since 2005. The tracklines are comprised of aerial and shipboard surveys. These data are intended to be used as a working compendium to inform the diverse number of groups that conduct surveys in the Mid-Atlantic region.The tracklines as depicted in this dataset have been derived from source tracklines and transects. The tracklines have been simplified (modified from their original form) due to the large size of the Mid-Atlantic region and the limited ability to map all areas simultaneously.The tracklines are to be used as a general reference and should not be considered definitive or authoritative. This data can be downloaded from http://www.boem.gov/uploadedFiles/BOEM/Renewable_Energy_Program/Mapping_and_Data/ATL_WILDLIFE_SURVEYS.zip

BOEM OCS Protraction Diagrams & Leasing Maps - This data set contains a national scale spatial footprint of the outer boundaries of the Bureau of Ocean Energy Management’s (BOEM’s) Official Protraction Diagrams (OPDs) and Leasing Maps (LMs). It is updated as needed. OPDs and LMs are mapping products produced and used by the BOEM to delimit areas available for potential offshore mineral leases, determine the State/Federal offshore boundaries, and determine the limits of revenue sharing and other boundaries to be considered for leasing offshore waters. This dataset shows only the outline of the maps that are available from BOEM.Only the most recently published paper or pdf versions of the OPDs or LMs should be used for official or legal purposes. The pdf maps can be found by going to the following link and selecting the appropriate region of interest. http://www.boem.gov/Oil-and-Gas-Energy-Program/Mapping-and-Data/Index.aspx Both OPDs and LMs are further subdivided into individual Outer Continental Shelf(OCS) blocks which are available as a separate layer. Some OCS blocks that also contain other boundary information are known as Supplemental Official Block Diagrams (SOBDs.) Further information on the historic development of OPD's can be found in OCS Report MMS 99-0006: Boundary Development on the Outer Continental Shelf: http://www.boemre.gov/itd/pubs/1999/99-0006.PDF Also see the metadata for each of the individual GIS data layers available for download. The Official Protraction Diagrams (OPDs) and Supplemental Official Block Diagrams (SOBDs), serve as the legal definition for BOEM offshore boundary coordinates and area descriptions.

BOEM OCS Lease Blocks - Outer Continental Shelf (OCS) lease blocks serve as the legal definition for BOEM offshore boundary coordinates used to define small geographic areas within an Official Protraction Diagram (OPD) for leasing and administrative purposes. OCS blocks relate back to individual Official Protraction Diagrams and are not uniquely numbered. Only the most recently published paper or pdf

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future droughts for south Florida based on climate model output from the Multivariate Adaptive Constructed Analogs (MACA) downscaled climate dataset from the Coupled Model Intercomparison Project Phase 5 (CMIP5).
A Portable Document Format (PDF) file is provided which shows a map of the study area and four analysis regions: (1) the entire South Florida Water Management District (SFWMD), (2) the Lower West Coast (LWC) water supply region, (3) the Lower East Coast (LEC) water supply region, and (4) the Okeechobee plus (OKEE+) water supply meta-region consisting of Lake Okeechobee (OKEE), the Lower Kissimmee (LKISS), Upper Kissimmee (UKISS), and Upper East Coast (UEC) water supply regions in the SFWMD.

The Charted Territory Map (World Edition) web map provides a customized world basemap uniquely symbolized. It takes its inspiration from a printed atlas plate and pull-down scholastic classroom maps. The map emphasizes the geographic and political features in the design. The use of country level polygons are preassigned with eight different colors. It also includes the global graticule features as well as landform labels of physical features and hillshade. This basemap, included in the ArcGIS Living Atlas of the World, uses the Charted Territory vector tile layer and World Hillshade. The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layers referenced in this map.

These maps show, for emergency service managers in the San Francisco Bay region, the threshold rainfall that may be capable of triggering a level of debris-flow activity likely to threaten public safety. The maps are products of a continuing series of studies that began after a catastrophic storm on January 3-5, 1982 triggered 18,000 debris flows in the San Francisco Bay region, causing 25 deaths and $66 million in property damage. The threshold rainfall values were estimated by re-evaluating a previous empirical analysis of data from the 1982 storm, and other historical rainfall records, that normalized the rainfall intensity data by dividing by the mean annual precipitation (MAP) of the corresponding rain gage. The present analysis also takes into account the rainfall frequency, the mean annual number of days with non-zero rainfall (#RDs), thereby adjusting for the difference in rainfall frequency between windward-facing slopes where rainfall is orographically enhanced and leeward-facing slopes and valleys that lie within rain shadows where precipitation is reduced. The debris-flow threshold maps were created by digitally combining an existing regional map of mean annual precipitation, a newly compiled data set of #RDs from an analysis of long-term (20-40 years) records of daily rainfall for 33 rain gages in the region, and the re-normalized thresholds from the empirical analysis of historical storm data.

This part of DS 781 presents data for bathymetry for several seafloor maps of the Offshore of Point Conception Map Area, California. The vector data file is included in "Bathymetry_OffshorePointConception.zip," which is accessible from https://doi.org/10.5066/F7QN64XQ. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Cochrane, G.R., Hartwell, S.R., Golden, N.E., Kvitek, R.G., and Davenport, C.W. (S.Y. Johnson and S.A. Cochran, eds.), 2018, California State Waters Map Series—Offshore of Point Conception, California: U.S. Geological Survey Open-File Report 2018–1024, pamphlet 36 p., 9 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20181024. Shaded-relief bathymetry of the Offshore of Point Conception map area in southern California was generated largely from acoustic-bathymetry data collected by Fugro Pelagos Inc. Acoustic mapping was completed in 2008 using a combination of 400-kHz Reson 7125, 240-kHz Reson 8101, and 100-kHz Reson 8111 multibeam echosounders. Bathymetric-lidar data was collected in the nearshore area by the U.S. Army Corps of Engineers (USACE) Joint Lidar Bathymetry Technical Center of Expertise in 2009 and 2010. These mapping missions combine to provide continuous bathymetric data from the shoreline as well as acoustic-backscatter data from about the 10-m isobath to beyond the limit of California's State Waters.

The global digital indoor map market is estimated to be valued at USD XXX million in 2023 and is projected to grow at a CAGR of XX% from 2023 to 2033, reaching USD XXX million by 2033. The growth of the digital indoor map market is driven by the increasing adoption of smartphones and tablets, the growing demand for location-based services, and the rising use of indoor navigation apps. The major players in the digital indoor map market include WoNoBo, Bing Maps, GeoMapserver, MapQuest, and ArcGIS Online. These companies offer a variety of digital indoor map solutions, including retail indoor maps, airport indoor maps, and mobile indoor navigation apps. The market also includes a number of regional players, such as Mapion, MappyMapSherpa, and NearMap.

Some of the CYR rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - We developed a coarse-scale and fine-scale vegetation classification and map for Northern, Western, and Interior Alaska including the Cook Inlet Basin. To produce the map we mosaicked—using ArcGIS—18 regional maps developed over the past 1 to 14 years and one map developed 27 years ago. Regional map spatial resolutions ranged from 30 x 30 m pixel or finer for satellite imagery, and 1:63,360 or finer for aerial photography. We converted the pixel size of each satellite image map and aerial photography polygons to a 30 x 30 m pixel resolution raster format. Prior to mosaicking the regional maps, we developed a coarse-scale legend common to all of the maps. We based our legend on a variety of Ducks Unlimited (DU) maps developed with various federal agencies (primarily, the USDI Bureau of Land Management, and USDI Fish and Wildlife Service) that used nearly identical legends and extended across most of Alaska. These maps used a variation of levels III and IV of The Alaska Vegetation Classification (Viereck et al,1992). We continued to refine the legend as we added other regional classifications to the original DU/BLM legend. The other regional mapping efforts included the USDI National Park Service, USDA National Forest Service-State and Private Forestry, LANDFIRE, The Nature Conservancy of Alaska, Audubon Alaska, USDI Fish and Wildlife Service, U.S. Geological Survey and the USDA Natural Resources Conservation Service. We were able to add the additional legends because they were either derived from or directly used some variation of levels III and IV of The Alaska Vegetation Classification (Viereck et al,1992). For the fine-scale legend, we attempted to keep all of the original classes and the level of detail from each regional map used for mosaicking. Some of the regional maps used an ecosystem or landscape classification approach (e.g. National Wetlands Inventory, Ecotypes) and we also retained the landscape detail in the fine-scale classes. We list and describe 34 coarse-scale classes and list 338 fine-scale classes. In addition, as authors produce new regional maps, the Alaska Natural Heritage Program (UAA) will continue to mosaic them into this map.

This part of DS 781 presents data for the bathymetry and shaded-relief maps of the Offshore of Salt Point map area, California. Raster data file is included in "BathymetryHS_OffshoreSaltPoint.zip", which is accessible from http://pubs.usgs.gov/ds/781/OffshoreSaltPoint/data_catalog_OffshoreSaltPoint.html. The bathymetry and shaded-relief maps of the Offshore of Salt Point Map Area, California, were generated from bathymetry data collected by California State University, Monterey Bay (CSUMB), and by Fugro Pelagos. Mapping was completed between 2007 and 2010, using a combination of 200-kHz and 400-kHz Reson 7125, and 244-kHz Reson 8101 multibeam echosounders, as well as 468-kHz SEA SWATHPlus interferometric system. These mapping missions combined to collect bathymetry from about the 10-m isobath to beyond the 3-nautical-mile limit of California's State Waters. NOTE: the horizontal datum of the bathymetry data (NAD83) differs from the horizontal datum of other layers in this DS (WGS84). These data are not intended for navigational purposes.

This dataset provide maps to show the search and harvest areas used by community residents for all subsistence resources combined across Interior Alaska for the years 2011 through 2017. The maps show the extent of areas used by residents for those communities where data collection and research has occurred; it is not a comprehensive use map for the entire area. The maps are a composite of data collected by the Division of Subsistence, Alaska Department of Fish and Game using standardized methods where respondents indicated the search areas for species harvested, the amounts harvested, and the location and months of harvest. These data are important for research, analysis, and regulatory assessment.