This survey is designed to gather input from MOCA programs to help prioritize features and inform the design of a new SharePoint site that supports internal collaboration and access to resources.

NOTE: The Historic Traffic Data Dashboard & Feature Hosted Service have been retired.Network operations traffic data from Main Roads Western Australia from 2013 onwards. The data provided includes data collected on the Perth Metropolitan State Road Network (PMSRN) at 15 minute intervals.

The Historic Traffic Data is provided in CSV format per year. Each table has over 34 million rows and can be linked to the M-Links Road Network using the M-Links ID. A data dictionary for M-Links Road Network and the Historic Traffic Data is at the following link:https://mainroads.sharepoint.com/:w:/s/mr-opendata/EVHlw9Ils59Al4q3y7xxWxABBSOHVr4SCrxOYzJw1dReQg?e=KUhjhb

The network operations traffic data provided here is of variable quality and has not been checked, quality assured or manually corrected. An automated process is used to patch over missing or suspect data with the most representative data available within the database. Patches may be reapplied as new data becomes available and patched data may change over time.

Note that you are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes.

Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material:- “The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability.”

Source https://nation258.sharepoint.com/:b:/s/USRSystemDocumentation/Eed65FnVKPBIns5mltwJPZgBMB3l7neUDiVPqYzyuKoq1A?e=oT5dxo

Expands the use of internal data for creating Geographic Information System (GIS) maps. SSA's Database Systems division developed a map users guide for GIS data object publishing and was made available in an internal Sharepoint site for access throughout the agency. The guide acts as the reference for publishers of GIS objects across the life-cycle in our single, central geodatabase implementation.

AFRAA Data Upgrade & Transition Plan for 2025 Fire SeasonGiven the mission-critical nature of AFRAA dataset and federal mandates, the FS Enterprise Data Warehouse (EDW) and AFRAA data stewards will fully support the legacy map services throughout the 2025 fire season before retirement. The latest 2025 data, approved by Forest Service Regional Forester and GIS Coordinators, has been integrated into legacy schemas, ensuring authoritative data while maintaining backward compatibility for applications relying on legacy endpoints.What You Need to KnowWhere is the New Data Most users will use the new map image service REST endpoints:https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_Aquatic_01/MapServerhttps://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_Terrestrial_01/MapServerMetadata is available in these ArcGIS items that reference the new map services:Fire_AerialFireRetardantAvoidanceAreas_Aquatic (Landing Page)Fire_AerialFireRetardantAvoidanceAreas_Terrestrial (Landing Page)Sync Enable ArcGIS Online Hosted Feature Services:Aquatic Hosted Feature ServiceTerrestrial Hosted Feature ServiceInternal FS users can make direct SDE connections (see detailed instructions on the AFRAA SharePoint ).Downloadable Data from the FS GeoData Clearinghouse:Fire_AerialFireRetardantAvoidanceAreas_Aquatic.gdb.zipFire_AerialFireRetardantAvoidanceAreas_Terrestrial.gdb.zipWhen Will the Legacy Product Be Retired?March 14, 2025 – New terrestrial map service available, and a deprecation watermark is added to the legacy service.March 14, 2025 - Region 3 approved 2025 aquatic data via the legacy service endpoint.April 1, 2025 – All 2025 approved data loaded into both new and legacy services.April 1, 2025 – New aquatic service published, and a deprecation watermark is added to the legacy service.April 1, 2025 – Legacy download products removed from the Clearinghouse and replaced with the new versions.April 7, 2025 – Sync enabled Hosted Feature Services published to ArcGIS OnlineSTOPPING LEGACY SERVICES HAS BEEN POSTPHONED DUE TO GOVERNMENT SHUTDOWNTBD (previously slated for October 1, 2025) – Legacy services stopped. Fire personnel can contact SM.FS.afraa@usda.gov during regular business hours if unknown dependencies are discovered. The services will be restarted if needed.November 1, 2025 – Unless an extension is requested, legacy services will be deleted, and all feature classes will be removed from EDW, making the data inaccessible.What Products Are Being Deprecated?Terrestrial Map Services & Associated Feature ClassesLegacy Terrestrial:https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_01/MapServerS_USA.AerialFireRetardantAvoidanceNew Authoritative Terrestrial:https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_Terrestrial_01/MapServerS_USA.Fire_AerialFireRetardantAvoidanceAreas_TerrestrialAquatic Map Services & Associated Feature ClassesLegacy Aquatic:https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServerS_R01.AFRAA_HydroS_R02.AFRAA_HydroS_R03.AFRAA_HydroS_R04.AFRAA_HydroS_R05.AFRAA_HydroS_R06.AFRAA_HydroS_R08.AFRAA_HydroS_R09.AFRAA_HydroS_R10.AFRAA_HydroNew Authoritative Aquatic Map Service and Feature Class:https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_Aquatic_01/MapServerS_USA.Fire_AerialFireRetardantAvoidanceAreas_Aquatic

Linking to Data.AustinTexas.gov Data.AustinTexas.gov (https://data.austintexas.gov) is the official portal for open data from the City of Austin (COA). The City of Austin’s GIS/Map Downloads page (https://cityofaustin.sharepoint.com/:f:/s/COA_PublicSite/EpbtbgOsrb1JjlS5qCqpE_UBSGKGRErRomxePFFWS_7bJg?e=UaLvcu) is the official portal for COA GIS data and map products that do not reside on Data.AustinTexas.gov. Both are public domain websites, which means you may link to Data.AustinTexas.gov and the City of Austin’s GIS/Map Downloads page at no cost. When you link to Data.AustinTexas.gov or the City of Austin’s GIS/Map Downloads page, please do it in an appropriate context as a service to people when they need to find official City of Austin data. We encourage you to use our logo, which we’ve provided below. Placement of the Data.AustinTexas.gov logo is to be used only as a marker and link to the home page. It is not meant as a form of endorsement or approval from the City of Austin. City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq

THIS ITEM IS PUBLIC AND READ ONLYThe Water Resources Inventory feature layer is a spatial inventory of miscellaneous point and line water related features on U.S. Fish and Wildlife Service lands. Management Actions and Maintenance related tables are included. This is a national authoritative data layer constructed by the NWRS Geospatial Advisory Committee assets sub-team based on the success of the Region 3 NWRS Water Resources Inventory dataset. This is a read-only, public AGOL View of FWS_Asset_Water_Resources_Inventory. Content can be added/edited by joining the FWS Asset Editing Group if a member of the FWS Organization. This public view only shows records that meet the following criteria:Record Status = "Valid"Public Viewable = "Yes"Data Set Contact: U.S. Fish and Wildlife Service Natural Resource Program Center, GIS Team Lead, richard_easterbrook@fws.govU.S. Fish and Wildlife Service Catalog (ServCat) Record - https://ecos.fws.gov/ServCat/Reference/Profile/154161For more information on the data that can be collected, see NWRS GAC FWS Assets sharepoint.

This is created via a database view between Capital Improvement Project Merged Polygons and a Projects List table that originates in Sharepoint. The GIS data is created by using the Minimum Bounding Box Tool on the Capital Improvement Projects Lines and Polygons. The Points are buffered by 100 feet and all are merged together to create a consolidated feature class. The feature Class is created by I&T GIS. The Sharepoint list is edited by CIP program Managers throughout the City of Charlotte.

This dataset contains soil type and soil classification, by area.

This dataset is harvested on a weekly basis from Allegheny County’s GIS data portal. The full metadata record for this dataset can also be found on Allegheny County's GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the "Explore button (and choosing the "Go to resource" option) to the right of the "ArcGIS Open Dataset" text below.

Category: Environment

Department: Geographic Information Systems Group; Department of Administrative Services

Development Notes: This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey.

Related Documents: Data Dictionary for SOIL_CODE, https://www.nrcs.usda.gov/Internet/FSE_MANUSCRIPTS/pennsylvania/PA003/0/legends.pdf (the last page includes the soil legend for this dataset)

The National PODs Feature Service is the official depiction of PODs approved by agency administrators. This service is hosted in the National Interagency Fire Center (NIFC) ArcGIS Online (AGOL) organization and is based on the attributes from the PODs Poly and PODs Line NWCG Data Standards. This service is managed by the USFS Washington Office Fire and Aviation Management Strategic Analytics Branch and has three components; PODs_Poly (a polygon layer), PODs_Line (a line layer), and PODs_Lines_HAVE_Polys (a many to many relationship table between lines and polygons).

PODs Poly. The PODs Poly layer represents pre-planned areas defined by potential operational delineation lines (i.e., potential control features), such as roads and ridge tops, within which relevant information can be summarized

PODs Line. The PODs Line layer represents pre-planned potential control features, such as roads and ridge tops, that may form polygon wildland fire potential operational delineations

PODs_Lines_HAVE_Polys. This is a many-to-many relationship which allows a line to be shared by many polygons or a polygon to be shared by many linesThis service is filtered to include only those features where FeatureAccess = Public. Additionally, attributes containing Personal Identifying Information (PII) have been removed from this View. No fall-off rules apply to this service. For information on how to contribute or edit data within this service, please locate the National POD Feature Service Implementation Guidance within the PODs folder on the RMA Sharepoint Site. Please contact Rick Stratton with any comments or questions.

CREST_Historic_DischargeData: https://sooners-my.sharepoint.com/:u:/g/personal/skyan_ou_edu/EVzT4n0QsA1DlVe_CyeQD5AB7cg-E023yvzPdKHeMtOS-A?e=7EML28Unit:cubic meters per month

AT parking locations as found at https://at.govt.nz/driving-parking/find-parking. Parking data sourced from the sharepoint list, https://aucklandtransport.sharepoint.com/sites/projects-msd/Lists/Parking/AllItems.aspx

This feature layer depicts location and other details about U.S. Fish & Wildlife Service internships that are hosted through our partners (e.g. Student Conservation Association, American Conservation Experience, Hispanic Access Foundation, etc.) in one central location so that we are able to share these opportunities with potential applicants and the public.This map is mostly auto-populated by financial assistant intake requests to NWRS Division of Realty, Budget, Performance, and Workforce (Youth Financial Assistance team) on SharePoint. However, for any internship opportunities that are not captured through that process can be added to this map via the Survey123 form on the Youth SharePoint site.Questions about this dashboard/map can be directed to Rachel_F_McCracken@fws.gov

A Park and Ride lot point is a point in coordinate space that represents a physical location. This feature layer is based on data extracts from regional coordinators and the Park and Ride Sharepoint webpages.

The National PODs Feature Service is the official depiction of PODs approved by agency administrators. This service is hosted in the National Interagency Fire Center (NIFC) ArcGIS Online (AGOL) organization and is based on the attributes from the PODs Poly and PODs Line NWCG Data Standards. This service is managed by the USFS Washington Office Fire and Aviation Management Strategic Analytics Branch and has three components; PODs_Poly (a polygon layer), PODs_Line (a line layer), and PODs_Lines_HAVE_Polys (a many to many relationship table between lines and polygons).

PODs Poly. The PODs Poly layer represents pre-planned areas defined by potential operational delineation lines (i.e., potential control features), such as roads and ridge tops, within which relevant information can be summarized

PODs Line. The PODs Line layer represents pre-planned potential control features, such as roads and ridge tops, that may form polygon wildland fire potential operational delineations

PODs_Lines_HAVE_Polys. This is a many-to-many relationship which allows a line to be shared by many polygons or a polygon to be shared by many linesThis service is filtered to include only those features where FeatureAccess = Public. Additionally, attributes containing Personal Identifying Information (PII) have been removed from this View. No fall-off rules apply to this service. For information on how to contribute or edit data within this service, please locate the National POD Feature Service Implementation Guidance within the PODs folder on the RMA Sharepoint Site. Please contact Rick Stratton with any comments or questions.

Data is released by the US Census Bureau following a Decennial count that is used in support of compliance with Public Law 94-171 and the Voting Rights Act (VRA). Public Law (P.L.) 94-171, enacted in 1975, directs the Census Bureau to make special preparations to provide the redistricting data needed by the fifty states. Within a year following Census Day, the Census Bureau must send the data agreed upon to redraw districts for the state legislature to each state's governor and majority and minority legislative leaders and those state officials legally responsible for statewide redistricting such as commission chairs. Process Doc:pl94171_data_loading_and_processing.docx (sharepoint.com)

This feature layer was created on March 1, 2025, and is derived from the 2025 State Partners Excel sheet located in the GHS SharePoint. It is designed to present a comprehensive overview of statewide school providers, making it easy for users to identify service locations across Wisconsin. By integrating this map into our website's dashboard, we aim to improve accessibility and usability for users seeking information on available providers in key focus areas like water, waste, transportation, building health and more. The goal of this map is to connect K-12 WI schools with local providers to gain valuable regional and local resources and technical assistance.Missing Data and Known GapsThis data only includes business and organizations that have been identified by Green & Healthy Schools staff and partners as places that offer resources or assistance to schools. This data does not encompass every business and organization that offers school resources.

Wildfire Suppression Difficulty Index (SDI) is a rating of relative difficulty in performing fire control work. This is a preliminary SDI map for Alaska intended for exploratory uses on fires in 2024. This version includes the 2021 slope adjustment factor used in the current CONUS SDI maps, which adds extra difficulty to steep terrain.SDI (Rodriguez y Silva et al. 2020) factors in topography, fuels, expected fire behavior under typical burning conditions, fireline production rates in various fuel types with and without heavy equipment, and access via roads, trails, or cross-country travel.SDI is currently classified into six categories representing low through extreme difficulty. Extreme SDI zones represented in red are “watch out” situations where engagement is likely to be very challenging given the combination of potential high intensity fire behavior and difficult suppression environment (high resistance fuel types, steep terrain, and low accessibility). Low difficulty zones represented in blue indicate areas where some combination of reduced potential for dangerous fire behavior and ideal suppression environment (low resistance fuel types, mellow terrain, and high accessibility) make suppression activities easier. SDI does not account for standing snags or other overhead hazards to firefighters, so it is not a firefighter hazard map. It is only showing in relative terms where it is harder or easier to perform suppression work.SDI incorporates flame length and heat per unit area from basic FlamMap runs (Finney et al. 2019). This version for Alaska uses fuel moisture settings from the Alaska Fire Analysis Guide (1-h 6%, 10-h 7%, 100-h 8%, herb 85%, woody 100%) with 15 mph uphill winds (@ 20-ft) to represent a consistent worst-case wind scenario. Input fuels data come from LANDFIRE 2022 (v2.3.0). Fuels were updated to represent wildfires from 2023 as represented in the Alaska Fire Perimeters Database by: 1) changing the fire behavior fuel model to TL1 (181) per Alaska Fire Analysis Guide; 2) reducing canopy cover and canopy bulk density 50%; and 3) raising canopy base height 50% or a minimum of 2-m and a maximum of 10-m or 90% of canopy height. Road and trail inputs are developed from a combination of HERE 2020 Roads, USFS, DOI, and State of Alaska road and trails databases. Hand crew and dozer fireline production rates are from FPA 2012 (Dillon et al. 2015). Classification of topography and accessibility thresholds are detailed in Rodriguez et al. (2020).More detail on SDI Methods can be found on the RMA Sharepoint Site (RMA Dashboard Analytics --> Suppression Difficulty Index (SDI) folder.ReferencesDillon, G.K.; Menakis, J.; Fay, F. (2015) Wildland Fire Potential: a tool for assessing wildfire risk and fuels management needs. In: Keane, R.E.; Jolly, M.; Parsons, R.; Riley, K., eds. Proceedings of the large wildland fires conference; May 19-23, 2014; Missoula, MT. Proc. RMRS-P-73. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 345 p.Finney, M.A.; Brittain, S.; Seli, R.C.; McHugh, C.W.; Gangi, L. (2019) FlamMap:Fire Mapping and Analysis System (Version 6.0) [Software]. Available from https://www.firelab.org/document/flammap-softwareRodriguez y Silva, F.; O'Connor, C.D.; Thompson, M.P.; Molina, J.R.; Calkin, D.E. (2020). Modeling Suppression Difficulty: Current and Future Applications. International Journal of Wildland Fire.

Regional Plan Appeals Vehicles on Beaches August 2023This layer was accepted by parties and NZ Environment Court. This layer can be found in Sharepoint here:Topic 1B - Vehicles on beaches - June 2023 .pdfThis layer was shared in the Mediation Viewer for mediation purposes as RP_MEDIATION_Vehicles_on_Beaches_May_2023. This layers is an exact copy of the Regional Plan MEDIATION Vehicles on Beaches May 2023 version.Northland Regional Council Planning and Policy Department and the Regional Planning Team is the owner of this layer.From Document 2023 NZEnvC 133 Bay of Islands Maritime Park Incorporated v Northland Regional Council.pdf" [33] The VEZ mapping is supported by expert ecological reports undertaken by Mr Vince Kerr commissioned by the Council7 and a report by Boffa Miskell in relation to Puheke Beach.8 The mapping is based on areas where significant values are at risk of harm by vehicle use, including:(a) SEAs, which include:(i) Indigenous taxa that are listed as threatened or at risk in the New Zealand Threat Classification System;(ii) areas of indigenous vegetation and habitats of indigenous fauna, that are significant using the assessment criteria in Appendix 5 of the Regional Policy Statement for Northland; and(iii) areas set aside for full or partial protection of indigenous biodiversity under other legislation;(b) Outside of SEAs, areas include:(i) significant habitats of indigenous biodiversity under Policy 11 of the NZCPS;(ii) threatened and at risk indigenous bird species that regularly use coastal areas or are in high numbers; and(iii) important shellfish beds.[34] The map layer applies to the strip from mean high-water springs to generally around 50 metres seaward of mean high-water springs. The management of the full beach area, including dunes and adjoining areas, requires broader inter-agency management, including operational management (e.g., signage). The Council is willing to work with other regulators in that space to achieve integrated management and ensure that the full beach area is managed effectively.Ref: Kerr, V: 7 Ecological Impacts of Vehicles on Intertidal Habitats Within Coastal Ecological Significant Areas, April; 2023 and Kerr, V: Hokianga Harbour – Ecological Considerations of Vehicles on Beaches, April 2023. The Council’s methodology for mapping VEZ is set out in: Northland Regional Council Vehicle Exclusion Zone – Mapping Methodology Report, September 2022. 8 Boffa Miskell: Puheke Beach Ecological Values, November 2022.

A tabbed StoryMap currently containing LiDAR extent and tile datasets with links to SharePoint and other public sites where Waikato Regional Council data is hosted for public consumption. The intention is to build on this in the future adding further tabs with more data freely available.LINZ LiDAR User Guides: See Elevation Aotearoa (arcgis.com) from Elevation data | Toitū Te Whenua - Land Information New Zealand (linz.govt.nz)