This dataset is a series of digital map-posters accompanying the AdaptNRM Guide: Helping Biodiversity Adapt: supporting climate adaptation planning using a community-level modelling approach.

These represent supporting materials and information about the community-level biodiversity models applied to climate change. Map posters are organised by four biological groups (vascular plants, mammals, reptiles and amphibians), two climate change scenario (1990-2050 MIROC5 and CanESM2 for RCP8.5), and five measures of change in biodiversity.

The map-posters present the nationally consistent data at locally relevant resolutions in eight parts – representing broad groupings of NRM regions based on the cluster boundaries used for climate adaptation planning (http://www.environment.gov.au/climate-change/adaptation) and also Nationally.

Map-posters are provided in PNG image format at moderate resolution (300dpi) to suit A0 printing. The posters were designed to meet A0 print size and digital viewing resolution of map detail. An additional set in PDF image format has been created for ease of download for initial exploration and printing on A3 paper. Some text elements and map features may be fuzzy at this resolution.

Each map-poster contains four dataset images coloured using standard legends encompassing the potential range of the measure, even if that range is not represented in the dataset itself or across the map extent.

Most map series are provided in two parts: part 1 shows the two climate scenarios for vascular plants and mammals and part 2 shows reptiles and amphibians. Eight cluster maps for each series have a different colour theme and map extent. A national series is also provided. Annotation briefly outlines the topics presented in the Guide so that each poster stands alone for quick reference.

An additional 77 National maps presenting the probability distributions of each of 77 vegetation types – NVIS 4.1 major vegetation subgroups (NVIS subgroups) - are currently in preparation.

Example citations:

Williams KJ, Raisbeck-Brown N, Prober S, Harwood T (2015) Generalised projected distribution of vegetation types – NVIS 4.1 major vegetation subgroups (1990 and 2050), A0 map-poster 8.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

Williams KJ, Raisbeck-Brown N, Harwood T, Prober S (2015) Revegetation benefit (cleared natural areas) for vascular plants and mammals (1990-2050), A0 map-poster 9.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

This dataset has been delivered incrementally. Please check that you are accessing the latest version of the dataset. Lineage: The map posters show case the scientific data. The data layers have been developed at approximately 250m resolution (9 second) across the Australian continent to incorporate the interaction between climate and topography, and are best viewed using a geographic information system (GIS). Each data layers is 1Gb, and inaccessible to non-GIS users. The map posters provide easy access to the scientific data, enabling the outputs to be viewed at high resolution with geographical context information provided.

Maps were generated using layout and drawing tools in ArcGIS 10.2.2

A check list of map posters and datasets is provided with the collection.

Map Series: 7.(1-77) National probability distribution of vegetation type – NVIS 4.1 major vegetation subgroup pre-1750 #0x

8.1 Generalised projected distribution of vegetation types (NVIS subgroups) (1990 and 2050)

9.1 Revegetation benefit (cleared natural areas) for plants and mammals (1990-2050)

9.2 Revegetation benefit (cleared natural areas) for reptiles and amphibians (1990-2050)

10.1 Need for assisted dispersal for vascular plants and mammals (1990-2050)

10.2 Need for assisted dispersal for reptiles and amphibians (1990-2050)

11.1 Refugial potential for vascular plants and mammals (1990-2050)

11.1 Refugial potential for reptiles and amphibians (1990-2050)

12.1 Climate-driven future revegetation benefit for vascular plants and mammals (1990-2050)

12.2 Climate-driven future revegetation benefit for vascular reptiles and amphibians (1990-2050)

Geospatial data about SNAP - SNAP benefits per capita, 2010. Export to CAD, GIS, PDF, CSV and access via API.

A challenge in agricultural drought risk assessment is the lack of standardization for selecting indicators and aggregation methods, leading to inconsistent and less reliable outcomes. This issue is particularly evident in Vietnam, where diverse agricultural practices and regional climates add complexity to the assessment process. This study proposes a methodological framework specifically designed for Vietnam’s agricultural sector. It recommends the use of the Standardized Precipitation Index Vegetation Health Index and Soil Moisture (SM) for assessing drought hazards, while socioeconomic indicators such as agricultural land, population, Gross Domestic Product total income, agriculture-based income, literacy rate, and poverty rate are suggested for evaluating exposure and vulnerability. The research assesses drought risk across mainland Vietnam from 2015 to 2022, employing both equal proportion and Principal Component Analysis (PCA) to determine indicator weightings. The study highlights the advantages of Geographic Information System (GIS) and Remote Sensing data in evaluating drought risk across Vietnam. The result of spatiotemporal analysis shows that the drought hazard index varies significantly on a monthly basis, while exposure and vulnerability indices remain relatively stable over the years. During the examined period, 2015 and 2016 were identified as the years with the highest drought risk, followed by 2019 and 2020. The Mekong Delta, Central Highlands, and Northwest regions consistently exhibited high drought risk, reflecting their agricultural practices and socioeconomic vulnerabilities. This dynamic analysis provides critical insights for policymakers and stakeholders to proactively manage drought impacts in Vietnam’s agricultural sector.

This dataset provides information on Benefits Amounts for Income Supplement and the Allowances according to income level and marital status. This is updated on a quarterly basis. The following tables of amounts will provide you with the amount of your monthly benefit, which will be based on your age, income level and marital status. The dataset is updated for April - June 2025 quarter.

(Link to Metadata) VTHYDRODEM was created to produce a "hydrologically correct" DEM, compliant with the Vermont Hydrography Dataset (VHD) in support of the "flow regime" project whose goal it is to derive stream perenniality for the VHD through application of logistic regression techniques. Some very important notes about the data: 1)Produced specifically for hydrologic modeling purposes and elevation surface has been altered and should not be used for analyses requiring unmodified elevation values; 2) ELEVATION VALUES, i.e., "Z units", are in CENTIMETERS (details below); and 3) Source data spans a five year period where varying techniques were used. This may explain observed inconsistencies both between and within tiles (detailed in the Attribute Accuracy Report below). This dataset has elevation values present in the surface that accurately reflect the down gradient nature and location of surface water features, i.e. the VHD. This process is also known as "hydro-enforcement" or "drainage enforcement". It is largely unknown that the 1:24k scale National Elevation Dataset (NED) is not "hydrologically correct" in relation to the National Hydrography Dataset (NHD) vector data of the same scale, e.g., the flow paths in the NED surface are not perfectly coincident to those in the scale NHD surface water features. This fact precluded the use of the NED data for hydrologic modeling efforts and reaffirmed the need to create a new "hydrologically correct" DEM. All processing was done using ARCINFO workstation (v.8.3) commands. The ARCINFO "TOPOGRID" command was used to create VTHYDRODEM as it was specifically designed to create "hydrologically correct" digital elevation models (DEM's) from elevation, stream and lake data sets. Single line "1D" streams and lake/pond "2D" polygons, from the 1:5k scale VHD, were given priority over input elevation data in the interpolation process to ensure that the resulting data is "hydrologically correct". Both the VHD and VTHYDRODEM share a common base of the state digital orthophotos, ensuring their interoperability. The Triangulated Irregular Networks (TIN) method was not considered but interested readers should review West Virginia's approach http://www.wvgis.wvu.edu/stateactivities/wvsamb/elevation/topogrid_vs_tin.pdf. This report notes the advantages and disadvantages of each approach. It should be noted that the WV effort included more recent imagery, and a much tighter sampling interval of source data. Nonetheless, it makes a strong case for the TIN approach that should be considered in any subsequent DEM development efforts. The density of input points used to create VTHYDRODEM was lower than the 1:24k NED but the vertical accuracy of those points tested at a higher accuracy and these points were generated with less variability in technique than that of the NED (see http://gisdata.usgs.net/website/USGS_GN_NED_DSI/viewer.htm and check "production methods" under "Layers" for NED data sources and methods). Vertical accuracy was derived using the FGDC National Standards for Spatial Data Accuracy (NSSDA) standards. For the sake of comparison, VTHYDRODEM tested at 6.05 meters, vertical accuracy at the 95% confidence level, whereas, the 1:24k National Elevation Dataset (DEM_24) tested at 21.3 meters. VTHYDRODEM was created for a specific, in-house project to support hydrologic modeling activities using the 1:5k scale VHD. It was interpolated from: 1) the Vermont Mapping Program (VMP) "x, y, z" data known as the "DEM points" (originally used to georectify the state digital orthophotos); and 2) VHD surface water features. A 10-meter cell resolution was chosen for VTHYDRODEM as a balance between input data accuracy and practical considerations and does not necessarily reflect the accuracy of the input data. The 10-meter resolution of this dataset was chosen arbitrarily for reasons noted below and should not be confused with an accuracy of 10 meters. This data should not be confused with the "1/3 arc second" 10m NED data. The lower 10m cell resolution has the following advantages when compared to the existing 30m 1:24k NED: 1) Stream confluences (junctions) can be defined with a greater degree of precision; 2) Confluences in close proximity can be represented individually; 3) Smaller landscape features can be represented and larger ones in greater detail; 4) Exponential improvement in volumetric measurement and tripling of precision in linear measurement of derived vector features, e.g., a watershed boundary is composed of aggregated 10m, i.e., 3 cells equals 30m vs. 30m resolution where 3 cells equals 90m. Similarly the concept applies to volumetric measurements); and 5) Improved cartographic accuracy for derived vector features. NOTE! Elevation units, e.g., "Z units" are in CENTIMETERS. This seeming arbitrary decision has a number of advantages worth considering. The output grid can now be stored as an "integer" type grid while simultaneously preserving the precision of the input data to the nearest centimeter. Integer type grids require one-tenth the storage space and are consequently much faster to process, e.g., deriving watershed boundaries. While it is unlikely that the input data is accurate to the nearest centimeter, this approach allows for greater precision storage, improves the overall appearance of the DEM and precludes problems with the model's depiction of over land flow in hydrologic related analyses when compared to coarser vertical resolutions. This approach mirrors a trend among the USGS and its contractors, who are now producing DEM's with a vertical resolution of decimeters (0.1 meter) for the benefits outlined above.

Point locations of properties throughout Pierce County that allow public access on private property in return for a reduced property tax rate. Some restrictions to the public access may apply.Please read the metadata (https://matterhorn.piercecountywa.gov/GISmetadata/pdbplan_public_access.html) for additional information. Any data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/disclaimer/PierceCountyGISDataTermsofUse.pdf).

This repository includes all result datasets and figures from the OnStove Nepal model presented in the paper "Achieving Nepal's clean cooking ambitions: an open source and geospatial cost–benefit analysis" DOI: https://doi.org/10.1016/S2542-5196(24)00209-2.

The code and automated workflow to run the model can be found in the Github repository https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove-Nepal. All model input data can be downloaded from the permanent repository at 10.5281/zenodo.10641858.

Folder structure

The folder structure consists of a Procedded GIS Data folder containing all GIS processed data. These are the outputs from the DataProcessor.ipynb script and the raw GIS input data files found in the input data repository.

A folder for each scenario results. Within each scenario folder, there are:

• A model.pkl and a results.pkl files. These are a calibrated OnStove model with the scenario inputs and a complete results model file of the scenario respectively. Both of these files can be read and explored using the OnStove tool.
• A summary.csv file with the summary results of the scenario for each technology.
• A Subsidies_scenario_name.csv file showing the required total subsidies per technology of the scenario.
• Image files in pdf format for:
  • The baseline technologies used in the country (current_shares.pdf),
  • The spatial mix of technologies providing the maximum net-benefits throughout the country (max_benefit_tech.pdf),
  • The total costs and benefits of the transition per technology (costs_benefits.pdf),
  • The bar plot of max benefit technology shares (tech_split.pdf),
  • The max benefit technologies distribution over relative wealth in the country (tech_histogram.pdf),
• A Rasters folder with raster files of different result maps in .tif format.

Inside the MCA folder, all results from the prioritization analysis are found, including:

• The prioritized spatial technology mix to achieve the goals of the country (Prioritized_hh.pdf),
• The biogas cookstoves relative wealth distribution index (Biogas_index.pdf),
• The biomass ICS T3 cookstoves relative wealth distribution index (Biomass_ICS_T3_index.pdf),
• The electrical cookstoves relative wealth distribution index (Electricity_index.pdf),
• The biogas cookstoves priority map (Biogas_priority_areas.pdf),
• The biomass ICS T3 cookstoves priority map (Biomass_ICS_T3_priority_areas.pdf),
• The electrical cookstoves priority map (Electricity_priority_areas.pdf),
• The total costs and benefits of the transition per technology (costs_benefits.pdf),
• The prioritized technology shares distribution over relative wealth in the country (tech_histogram_prioritized.pdf),
• A Subsidies_prioritized.csv file showing the required total subsidies per technology,
• A mca.pkl file with the MCA model that can be manipulated using the OnStove tool,
• A access_results.txt file with the current and after prioritization clean cooking access shares in the country.

A main_plot.pdf and a prioritized_plot.pdf files showing the compiled results for all scenarios and prioritized scenario respectively.

License

All datasets are released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Contents: This is an ArcGIS Pro zip file that you can download and use for creating map books based on United States National Grid (USNG). It contains a geodatabase, layouts, and tasks designed to teach you how to create a basic map book.Version 1.0.0 Uploaded on May 24th and created with ArcGIS Pro 2.1.3 - Please see the README below before getting started!Updated to 1.1.0 on August 20thUpdated to 1.2.0 on September 7thUpdated to 2.0.0 on October 12thUpdate to 2.1.0 on December 29thBack to 1.2.0 due to breaking changes in the templateBack to 1.0.0 due to breaking changes in the template as of June 11th 2019Updated to 2.1.1 on October 8th 2019Audience: GIS Professionals and new users of ArcGIS Pro who support Public Safety agencies with map books. If you are looking for apps that can be used by any public safety professional, see the USNG Lookup Viewer.Purpose: To teach you how to make a map book with critical infrastructure and a basemap, based on USNG. You NEED to follow the steps in the task and not try to take shortcuts the first time you use this task in order to receive the full benefits. Background: This ArcGIS Pro template is meant to be a starting point for your map book projects and is based on best practices by the USNG National Implementation Center (TUNIC) at Delta State University and is hosted by the NAPSG Foundation. This does not replace previous templates created in ArcMap, but is a new experimental approach to making map books. We will continue to refine this template and work with other organizations to make improvements over time. So please send us your feedback admin@publicsafetygis.org and comments below. Instructions: Download the zip file by clicking on the thumbnail or the Download button.Unzip the file to an appropriate location on your computer (C:\Users\YourUsername\Documents\ArcGIS\Projects is a common location for ArcGIS Pro Projects).Open the USNG Map book Project File (APRX).If the Task is not already open by default, navigate to Catalog > Tasks > and open 'Create a US National Grid Map Book' Follow the instructions! This task will have some automated processes and models that run in the background but you should pay close attention to the instructions so you also learn all of the steps. This will allow you to innovate and customize the template for your own use.FAQsWhat is US National Grid? The US National Grid (USNG) is a point and area reference system that provides for actionable location information in a uniform format. Its use helps achieve consistent situational awareness across all levels of government, disciplines, and threats & hazards – regardless of your role in an incident.One of the key resources NAPSG makes available to support emergency responders is a basic USNG situational awareness application. See the NAPSG Foundation and USNG Center websites for more information.What is an ArcGIS Pro Task? A task is a set of preconfigured steps that guide you and others through a workflow or business process. A task can be used to implement a best-practice workflow, improve the efficiency of a workflow, or create a series of interactive tutorial steps. See "What is a Task?" for more information.Do I need to be proficient in ArcGIS Pro to use this template? We feel that this is a good starting point if you have already taken the ArcGIS Pro QuickStart Tutorials. While the task will automate many steps, you will want to get comfortable with the map layouts and other new features in ArcGIS Pro.Is this template free? This resources is provided at no-cost, but also with no guarantees of quality assurance or support at this time. Can't I just use ArcMap? Ok - here you go. USNG 1:24K Map Template for ArcMapKnown Limitations and BugsZoom To: It appears there may be a bug or limitation with automatically zooming the map to the proper extent, so get comfortable with navigation or zoom to feature via the attribute table.FGDC Compliance: We are seeking feedback from experts in the field to make sure that this meets minimum requirements. At this point in time we do not claim to have any official endorsement of standardization. File Size: Highly detailed basemaps can really add up and contribute to your overall file size, especially over a large area / many pages. Consider making a simple "Basemap" of street centerlines and building footprints.We will do the best we can to address limitations and are very open to feedback!

Coral reefs host exceptionally diverse and abundant marine life. Connecting coasts and sheltered lagoons to the open ocean, reef passages are important yet poorly studied components of these ecosystems. Abiotic and biotic elements ‘pass’ through these reef passages, supporting critical ecological processes (e.g. fish spawning). Reef passages provide multiple social and ecological benefits for islands and their peoples, but are so far neither characterized nor recognized for their multifaceted significance. This study investigated 113 reef passages across nine Pacific islands (Fiji, New Caledonia, Vanuatu). GIS-based visual interpretations of satellite imagery were used to develop criteria to define three distinct types, mainly based on distance to coastline and presence/absence of an enclosed water body. The discussion identifies ways to refine and augment this preliminary typology as part of a research agenda for reef passages. With these next steps, this typology will be extendable to other regions to better document reef passages and their various roles, supporting biodiversity conservation and sustainable fisheries management.

The Central Valley Flood Protection Plan (CVFPP) recommends that the California Department of Water Resources (DWR) develop a system for tracking performance of the flood system, including the following actions:• Track the outcomes from flood investments to demonstrate value.• Monitor and track outcomes of multi-benefit projects over time.• Create a tracking system of operations and maintenance investments and outcomes to demonstrate the value that Local Maintaining Agencies attain for their investments.• Track and report changes in the hydrologic and sea level rise conditions and subsidence over time through updates to the Flood System Status Report (FSSR)These recommendations stem from progressive work during the development of the 2012 CVFPP and subsequent 2017 CVFPP update. The DWR Flood Performance Tracking System tracks the CVFPP outcomes related to: (1) improving flood risk management and (2) enhancing ecosystem vitality. This tracking system has the ability to track the status, trends, and changes over time of the ecosystem (including the Conservation Strategy’s Measurable Objectives [CSMOs] as of 2016) outlined in the Conservation Strategy document here: https://cawaterlibrary.net/wp-content/uploads/2017/10/ConservStrat-Nov2016.pdf along with the Flood System metrics outlined in the Flood System Status Report here: https://water.ca.gov/Programs/Flood-Management/Flood-Planning-and-Studies/Central-Valley-Flood-Protection-Plan.The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.1, dated September 11, 2019.This data set was not produced by DWR. Data were originally developed and supplied by ESA, under contract to California Department of Water Resources. DWR makes no warranties or guarantees — either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data.Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov.

National Wetland Inventory (NWI) data for Minnesota provide information on the location, extent, and type of Minnesota wetlands. Natural resource managers use NWI data to improve the management, protection, and restoration of wetlands. Wetlands provide many ecological benefits including habitat for fish and wildlife, reducing floods, recharging, improving water quality, and supporting recreation.

These data were updated through a decade-long, multi-agency collaborative effort under leadership of the Minnesota Department of Natural Resources (MNDNR). Major funding was provided by the Environmental and Natural Resources Trust Fund.

This is the first statewide update of the NWI for Minnesota since the original inventory in the mid-1980s. The work was completed in phases by dividing the state into five project areas. Those project areas have all been edgematched into a final seamless statewide dataset.

Ducks Unlimited (Ann Arbor, MI) and St. Mary’s University Geospatial Services (Winona, MN) conducted the wetland mapping and classification under contract to the MNDNR. The Remote Sensing and Geospatial Analysis Laboratory at the University of Minnesota provided support for methods development and field validation. The DNR Resource Assessment Office provided additional support for data processing, field checking, and quality control review.

The updated NWI data delineate and classify wetlands according to the system developed by Cowardin et al. (1979), which is consistent with the original NWI. The updated data also contain a simplified plant community classification (SPCC) and a simplified hydrogeomorphic (HGM) classification. Quality assurance of the data included visual inspection, automated checks for attribute validity and topologic consistency, as well as a formal accuracy assessment based on an independent field verified data set. Further details on the methods employed can be found in the technical procedures document for this project located on the project website (http://www.dnr.state.mn.us/eco/wetlands/nwi_proj.html ).

DOWNLOAD NOTE: NWI data are only provided in either ESRI File Geodatabase or OGC GeoPackage formats. A Shapefile is not available because the size of the NWI dataset exceeds the limit for that format. If you are unable to use the File Geodatabase or GeoPackage, you can view data through Wetland Finder, an interactive mapping application on the DNR’s website (https://arcgis.dnr.state.mn.us/ewr/wetlandfinder ).

SYMBOLOGY NOTE: The ESRI File Geodatabase download includes four layer files that symbolize the data using four different wetland classification systems. The symbology layer files for the Cowardin class and the simplified HGM class are grouped into a smaller number of classes than the full elaborated classifications. Detail is available in the Minnesota Wetland Inventory User Guide and Summary Statistics report (https://files.dnr.state.mn.us/eco/wetlands/nwi-user-guide.pdf ). The layer files for these data have been set up to restrict drawing of the data when zoomed out beyond 1:250,000 scale. This is, in part, to prevent problems with slow performance with this large dataset.

Geospatial data about Johnson County, Kansas Benefit Districts. Export to CAD, GIS, PDF, CSV and access via API.

This district is intended to provide for a mix of retail, office-professional, entertainment, residential and civic uses that benefit from close proximity to each other and that will generate pedestrian activity in the city's historic downtown core. The use of public water and public sewer systems shall be required.

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

🇺🇸 미국 English The Central Valley Flood Protection Plan (CVFPP) recommends that the California Department of Water Resources (DWR) develop a system for tracking performance of the flood system, including the following actions:• Track the outcomes from flood investments to demonstrate value.• Monitor and track outcomes of multi-benefit projects over time.• Create a tracking system of operations and maintenance investments and outcomes to demonstrate the value that Local Maintaining Agencies attain for their investments.• Track and report changes in the hydrologic and sea level rise conditions and subsidence over time through updates to the Flood System Status Report (FSSR)These recommendations stem from progressive work during the development of the 2012 CVFPP and subsequent 2017 CVFPP update. The DWR Flood Performance Tracking System tracks the CVFPP outcomes related to: (1) improving flood risk management and (2) enhancing ecosystem vitality. This tracking system has the ability to track the status, trends, and changes over time of the ecosystem (including the Conservation Strategy’s Measurable Objectives [CSMOs] as of 2016) outlined in the Conservation Strategy document here: https://cawaterlibrary.net/wp-content/uploads/2017/10/ConservStrat-Nov2016.pdf along with the Flood System metrics outlined in the Flood System Status Report here: https://water.ca.gov/Programs/Flood-Management/Flood-Planning-and-Studies/Central-Valley-Flood-Protection-Plan.The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.1, dated September 11, 2019.This data set was not produced by DWR. Data were originally developed and supplied by ESA, under contract to California Department of Water Resources. DWR makes no warranties or guarantees — either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data.Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov.

ECM Community Support Services tables for a Quarterly Implementation Report. Including the County and Plan Details for both ECM and Community Support.

This Medi-Cal Enhanced Care Management (ECM) and Community Supports Calendar Year Quarterly Implementation Report provides a comprehensive overview of ECM and Community Supports implementation in the programs' first year. It includes data at the state, county, and plan levels on total members served, utilization, and provider networks.

ECM is a statewide MCP benefit that provides person-centered, community-based care management to the highest need members. The Department of Health Care Services (DHCS) and its MCP partners began implementing ECM in phases by Populations of Focus (POFs), with the first three POFs launching statewide in CY 2022.

Community Supports are services that address members’ health-related social needs and help them avoid higher, costlier levels of care. Although it is optional for MCPs to offer these services, every Medi-Cal MCP offered Community Supports in 2022, and at least two Community Supports services were offered and available in every county by the end of the year.

Beginning in 2015, the Public Service Communication Board, VITA Integrated Services Program staff, and staffs from public safety answering points (PSAPs) have been planning the deployment of Next Generation 9-1-1 (NG911) for the Commonwealth. Transitioning from the legacy telecommunication network will provide numerous benefits and flexibility looking towards the future. As the emergency services internet protocol network (ESInet) is fully deployed, geospatial call routing will use geographic information system (GIS) data provisioned by authoritative sources. This feature class contains the best available Provisioning Boundary Line segments received and processed by VGIN into Virginia State Plane South polygons. All segments are agreed to, but geometry may change in the future with new agreements. The data is available as a feature service https://vginmaps.vdem.virginia.gov/arcgis/rest/services/NG911/NG911_VA_StatePlaneSouth_NAD83_Provisioning_Polygon/FeatureServer. Guidance on connecting to feature services is available here: https://vginmaps.vdem.virginia.gov/download/ng911/Working_with_VGIN_Feature_Services.pdf. Additional resources and recommendations on GIS related topics are available on the VGIN 9-1-1 & GIS page.Data is believed to be current for its intended purpose. Data is provided as is. All warranties regarding the accuracy of the data and any representation or inferences derived there from are hereby expressly disclaimed.

Since 2015, the Public Service Communication Board, VITA Integrated Services Program staff, and staffs from public safety answering points (PSAPs) have been planning and implementing the deployment of Next Generation 9-1-1 (NG911) for the Commonwealth. Transitioning from the legacy telecommunication network provides numerous benefits and flexibility looking towards the future. As the emergency services internet protocol network (ESInet) is deployed, geospatial call routing uses geographic information system (GIS) data and the 911 caller’s location information to identify which PSAP will receive the call.The process of geospatial call routing relies on the civic address layers (address points and road center line maintained by the localities) and a GIS layer representing PSAP boundaries for the operations area for each PSAP. The PSAP boundary file must ensure that every square foot of the Commonwealth is assigned to one and only one PSAP. There can be no gaps or overlaps. PSAPs sharing boundaries with neighboring states must also meet this same rigor to ensure efficient and consistent delivery of every 911 call initiated.This feature class contains the best available PSAP Boundary Line segments received and processed by VGIN into Virginia State Plane South polygons. All segments are agreed to, but geometry may change in the future with new agreements. The data is available as a feature service https://vginmaps.vdem.virginia.gov/arcgis/rest/services/NG911/NG911_VA_StatePlaneSouth_NAD83_PSAP_Polygon/FeatureServer. Guidance on connecting to feature services is available here: https://vginmaps.vdem.virginia.gov/download/ng911/Working_with_VGIN_Feature_Services.pdf. Additional resources and recommendations on GIS related topics are available on the VGIN 9-1-1 & GIS page.Data is believed to be current for its intended purpose. Data is provided as is. All warranties regarding the accuracy of the data and any representation or inferences derived there from are hereby expressly disclaimed.

America’s Great Lakes — Superior, Michigan, Huron, Erie and Ontario — hold 21 percent of the world’s surface fresh water and host habitat for a variety of fish and wildlife species of concern. They provide drinking water for more than 40 million people and economic benefits from fishing and recreation. The Great Lakes Region is also a major agricultural area, with more than 55 million acres of land under production. All of these uses impact the Great Lakes ecosystem. With the CCA designation, USDA will build on existing strong partnerships in the Great Lakes Region to provide approaches and tools for producers to better manage nutrients and sediment on agricultural land. Accelerated conservation on private lands will help improve water quality, leading to better habitat for fish and wildlife and increased economic opportunities, including maintaining agricultural productivity in this vital region. This dataset includes a printer-friendly CCA map and shapefiles for GIS. Resources in this dataset:Resource Title: Great Lakes Region. File Name: Web Page, url: https://www.nrcs.usda.gov/programs-initiatives/rcpp-regional-conservation-partnership-program/critical-conservation-areas Information about the project and links to a printer-friendly CCA map (PDF, 1.2MB) and Shapefiles for GIS (ZIP, 232KB).