The Brant Lake Winter Carnival is back for 2023!If you've been holding out waiting to get that last passport stamp, now's your chance. The Carnival is being held February 18, 2023 from 12 noon to 7pm. Click here for all the details.If you need an extra Winter Carnival page for your passport, you can download a blank one here.

The Digital Geologic-GIS Map of Guilford Courthouse National Military Park and Vicinity, North Carolina is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (guco_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (guco_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (guco_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (guco_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (guco_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (guco_geology_metadata_faq.pdf). Please read the guco_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: North Carolina Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (guco_geology_metadata.txt or guco_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:125,000 and United States National Map Accuracy Standards features are within (horizontally) 63.5 meters or 208.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

This layer corresponds to data acquired from Steven VanVactor at the Northwest Watershed Research Center in 2018.

The DNR Hydrography Dataset is the centralized SDE data storage for master versions of DNR hydrographic spatial features (effective 2012). It includes the authoritative versions of the following statewide feature classes:

• DNR Hydrography - DNR Watersheds - Level 08 - All Catchments (polygons) https://gisdata.mn.gov/dataset/geos-dnr-watersheds


• DNR Hydrography - All Water Features (polygons)


• DNR Hydrography - Public Waters Basins (polygons) https://gisdata.mn.gov/dataset/water-mn-public-waters


• DNR Hydrography - Stream Routes with Kittle Numbers and Mile Measures (measured polyline routes) https://gisdata.mn.gov/dataset/water-measured-kittle-routes


• DNR Hydrography - Hydrologic Points of Interest (HPOI) (points) - in development

The DNR Hydrography Dataset is a collection of the "best available" DNR spatial features representing MN surficial hydrology. These features originate from multiple sources representing a range of scales and accuracies. All feature classes are (will eventually be) topologically related and will function as an integrated set of statewide features. Most DNR hydro-related layers are (will eventually be) derived from this central data storage so that master features may be edited once and then remain synchronized among all derived layers.

NOTE: The DNR Hydrography dataset replaces the older DNR 24K and DNR 100K data layers, including those derived layers listed below. Users should discontinue use of these older layers.

100K: dnr_100k_hydro_area_features, dnr_100k_hydro_stream_centerlines, lake_dnrpy2, wetl_dnrpy2, strm_usgsln2
24K: dnr_24k_lakes_and_open_water, dnr_24k_rivers_and_streams, dnr_24k_perennial_stream, lake_openwpy3, strm_baseln3, strm_pwiln3

Dropout rates for Alaska public school districts. The dropout rate is defined by state regulation 4 AAC 06.895(i)(3) as a fraction of students grades 7-12 who have dropped out during the current school year out of the total students in grades 7-12 enrolled as of October 1st of the school year for which the data is reported.A student is considered to be a dropout when they have discontinued schooling for a reason other than graduation, transfer to another diploma-track program, emigration, or death unless the student is enrolled and in attendance at the same school or at another diploma-track program prior to the end of the school year (June 30).Students who depart a diploma track program in pursuit of GED certification, credit recovery, or non-diploma track vocational training are considered to have dropped out.This data set includes historic data from 1991 to present.GIS layers for individual years can be accessed using the Build Your Own Map application.Source: Alaska Department of Education & Early Development

This data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Department of Education & Early Development Data Center

Purpose: This polygon feature class represents spatial location of sidewalks. The Public Works department maintains WPB owned assets . The ownership attribute has categories for PBC,FDOT, WPB, and Privately owned assets. Private owned sidewalks were identified as such because they are located within a private (gated community) or in a parcel and not located in the public ROW.Intended Use: The primary use is for Public Works to identify WPB owned assets. Other departments have made other requests from this layer but since his layer is not currently maintained the requests are often discarded or cancelled. The data gaps were created by not assigning a GIS team member to be responsible for updating the layer periodically, Also the ownership attribute needs to be verified and updated along with other incomplete attribute information. The condition attribute can be updated by overlaying the DTS sidewalk condition inventory. Users of this data should exercise caution and field verify their study areas.Department: Information Technology - GIS DivisionData Source: geodatabase layer in transportation datasetHow was the Data Manipulated: Data was added to GIS from various sources in 2012 . During March 2021 the data was loaded into an ESRI sidewalk inventory solution schemaIt's recommended that a GIS team member update the features by heads up digitizing on accurate georeferenced aerials and populate all attributes. Service Level Agreements (SLA) may need to be created for maintenance responsibilities to keep the data current.How the Data is Modified: Update will be made by a GIS team member by heads up digitizing on accurate georeferenced aerials and populate all attributesUpdate Frequency: Currently needs to be updated (Recommend the GIS team look at AI processing for managing change and scheduling annual updates)Note: This data in this layer was assembled from various planimetric data sources and some heads up digitizing from 1990's to present. During March 2021 the layer was reformatted into this ESRI LGIM schema for loading into geodatabase.

These data show the location of available and discontinued ocean disposal sites within U.S. waters. Contemporary ocean disposal sites generally accept clean dredged material (sediment) collected during navigation channel improvement projects. These projects are sponsored or regulated by federal and state agencies. The terminology and practices used in ocean disposal have changed considerably over time. The values in the Primary Use field in this database show some of that variability.Direct data download | MetadataThis item is curated by the MarineCadastre.gov team. Find more information at marinecadastre.gov.

This data set contains a variety of easements that are captured from recorded subdivision plats and easement plats. Once a document has been recorded then the GIS Division receives that document and creates any features that are shown on the recorded document. This layer contains the easement type by category and the name of the easement as stated on the plat. For newer easements there is also the deed book and deed page. This is used to perform research on the original document in the Courts system.

This layer does not contain all easements. There are many easements before the GIS Division started capturing all easements that did not get into the layer because they were not on the original mylars where this data was captured from. Also, in 2016 the GIS Division stopped capturing stormwater easements into this layer as there is different layer that contains the stormwater related easements.

A dataset of well information and geospatial data was developed for 426 U.S. Geological Survey (USGS) observation wells in Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. An extensive list of attributes is included about each well, its location, and water-level history to provide the public and water-resources community with comprehensive information on the USGS well network in New England and data available from these sites. These data may be useful for evaluating groundwater conditions and variability across the region. The well list and site attributes, which were extracted from USGS National Water Information System (NWIS), represent all of the active wells in the New England network up to the end of 2017, and an additional 45 wells that were inactive (discontinued or replaced by a nearby well) at that time. Inactive wells were included in the database because they (1) contain periods of water-level record that may be useful for groundwater assessments, (2) may become active again at some point, or (3) are being monitored by another agency (most discontinued New Hampshire wells are still being monitored and the data are available in the National Groundwater Monitoring Network (https://cida.usgs.gov/ngwmn/index.jsp). The wells in this database have been sites of water-level data collection (periodic levels and/or continuous levels) for an average of 31 years. Water-level records go back to 1913. The groundwater-level statistics included in the dataset represent hydrologic conditions for the period of record for inactive wells, or through the end of water year 2017 (September 30, 2017) for active wells. Geographic Information Systems (GIS) data layers were compiled from various sources and dates ranging from 2003 to 2018. These GIS data were used to calculate attributes related to topographic setting, climate, land cover, soil, and geology giving hydrologic and environmental context to each well. In total, the data include 90 attributes for each well. In addition to site number and station name, attributes were developed for site information (15 attributes); groundwater-level statistics through water year 2017 (16 attributes); well-construction information (9 attributes); topographic setting (11 attributes); climate (2 attributes); land use and cover (17 attributes); soils (4 attributes); and geology (14 attributes). Basic well and site information includes well location, period of record, well-construction details, continuous versus intermittent data collection, and ground altitudes. Attributes that may influence groundwater levels include: well depth, location of open or screened interval, aquifer type, surficial and bedrock geology, topographic position, flow distance to surface water, land use and cover near the well, soil texture and drainage, precipitation, and air temperature.

311 is a City of Cleveland program for reporting complaints and submitting service requests for non-emergency issues, such as potholes or problems with trash pickups. For emergencies, dial 911.This dataset includes 311 requests filed since 2/29/24. All records filed before 2/29/24 are archived. To view this list of archived 311 requests, click here. More information on Cleveland 311 can be found here: https://www.clevelandohio.gov/311.Please note: Prior to the new system launching on 9/4/2024, some dates in the close_date field are after the true date of closure.Update FrequencyDaily around 7:00 AM ESTContacts:311 or Open Data Team (opendata@clevelandohio.gov)Data GlossaryThis dataset is based on the Open311 data standard.Column | Descriptionservice_request_id | The unique ID (reference number) of the service request created in the 311 system.service_name | The human-readable name of the service request type.division_responsible | The Division or operation unit responsible for fulfilling or otherwise addressing the service request.agency_responsible | The Department responsible for fulfilling or otherwise addressing the service request.status_description | A single-word indicator of the current state of the service request.address | Human-readable address or description of location.requested_date | The date and time when the service request was made.updated_datetime | The date and time when the service request was last modified.closed_date | Date and time the request record was closed or cancelled.target_date | The date by which the request is targeted to be addressed by the responsible Department. source | Mechanism or path by which the service request was received.parcelpin | The parcel number corresponding to the location.neighborhood | The neighborhood of the location.ward_name | The readable ward name of the ward corresponding to the location.ward | The number of the ward corresponding to the locationlat | Latitude of the location in decimal degrees.long | Longitude of the location in decimal degrees.Related Data Products:Cleveland 311 Request ExplorerCleveland 311 Service Request Report

These data provide evidence of how movement in London was been affected by the various control measures for COVID-19 and how much they recovered once those measures were eased. NOTE: Google stopped updates on 15th Oct 2022 This page summarises changes in activity from baseline obtained from Google's Mobility Report including: Retail and recreation Grocery and pharmacy Parks Transit stations Workplaces percent Residential Google collects location data shared by users of Android smartphones, and compares the time and duration of visits to locations to the median values on the same day of the week in the five weeks from 3 Jan 2020.

This dataset contains daily means of bottom temperature readings from 9 active temperature loggers throughout Massachusetts state waters. Buzzards Bay monitors include Cleveland, Sippewisset, BBay Barge, and Cuttyhunk. Cape Cod Bay monitors include Scorton, Manomet, Mars, and Rocky Point. Martins Ledge is located just outside of Boston Harbor. The data is maintained by the MA Division of Marine Fisheries and updated annually. Many of the monitor locations have been actively collecting temperature data starting in the late 1980s. Some logger locations have been discontinued; Endicott and Sculpin. Inquiries should be sent to DMF Invertebrate Fisheries Biologist Jacob Dorothy at jacob.dorothy@mass.gov

Priority Areas for Increasing Access to Regional Recreation is a composite of multiple primary source datasets. As a result, there is no formal data dictionary available for this layer. For those seeking more information regarding the constituent datasets that comprise this layer, it is advised that reference be made to the primary sources. These primary sources may contain their own data dictionaries, metadata, or other relevant documentation that can provide an in-depth comprehension of the data.

Base Local Address of Sauveterre (Tarn) The municipality was fully addressed in 2021 with the help of the GIS of the Communauté d’Agglomération Castres-Mazamet. Fuel prices (shp) The frequency is not yet stopped but as soon as possible it will be regular once we have set up the API.

This indicator provides information about lead exposure risk for census tracts in Los Angeles County based on self-reported housing and poverty data. Using methods implemented by New York University for the City Health Dashboard, a lead risk index score ranging from 1 to 10 was assigned to each census tract with available data, with a score of 1 indicating the lowest risk and a score of 10 indicating the highest risk for lead exposure.Lead is a heavy metal that has negative impacts on nearly every system in the body, particularly the brain, kidneys, and blood. Although lead paint was phased out in the 1970s, legacy lead paint and dust remain primary sources of lead exposure in the US. Literature on lead poisoning consistently finds two factors to be correlated with lead exposure risk: the age of houses (which predicts the likelihood of lead paint) and poverty. While all people can be affected by lead, young children and pregnant persons are the most vulnerable. Irreversible neurodevelopment effects, including decreased IQ, shortened attention span, and reduced fine motor skills, occur at even low levels of lead exposure. At high levels, anemia, high blood pressure, seizures, and death can occur. There is no known safe level of lead exposure for children.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Priority Areas for Increasing Access to Rural Recreation is a composite of multiple primary source datasets. As a result, there is no formal data dictionary available for this layer. For those seeking more information regarding the constituent datasets that comprise this layer, it is advised that reference be made to the primary sources. These primary sources may contain their own data dictionaries, metadata, or other relevant documentation that can provide an in-depth comprehension of the data.

AFRAA Data Upgrade & Transition Plan for 2025 Fire Season

Given 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/MapServer https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_Terrestrial_01/MapServer

Metadata 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 Service Terrestrial Hosted Feature Service

Internal 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.zip Fire_AerialFireRetardantAvoidanceAreas_Terrestrial.gdb.zip

When 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 Online 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.AerialFireRetardantAvoidance

New Authoritative Terrestrial:

https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_Terrestrial_01/MapServerS_USA.Fire_AerialFireRetardantAvoidanceAreas_Terrestrial

Aquatic Map Services & Associated Feature Classes

Legacy Aquatic:

https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer

S_R01.AFRAA_Hydro S_R02.AFRAA_Hydro S_R03.AFRAA_Hydro S_R04.AFRAA_Hydro S_R05.AFRAA_Hydro S_R06.AFRAA_Hydro S_R08.AFRAA_Hydro S_R09.AFRAA_Hydro S_R10.AFRAA_Hydro

New Authoritative Aquatic Map Service and Feature Class:

https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_Aquatic_01/MapServerS_USA.Fire_AerialFireRetardantAvoidanceAreas_AquaticThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

magery of Pickaway Co - flown for State of Ohio under the OSIP (Ohio Statewide Imagery Program) - Spring 2008 1-foot resolution imagery. Pickaway County converted the imagery into use for their system. OSIP will acquire high-resolution imagery for the State of Ohio to support the geospatial needs of state and local government service providers, Geographic Information System users, and decision makers at all levels of government. This imagery dataset was flown in Spring of 2008 and was disturbed to counties throughout Ohio. https://das.ohio.gov/technology-and-strategy/ogrip/projects/osip In Fall 2022 OGRIP discontinued the OSIP 1 rest services. In regards to this, Pickaway County GIS Dept reconstructed these services for Pickaway County.For further information contact the Pickaway County GIS Dept.For more information:Pickaway County GIS Dept124 W Franklin St.Circleville, Ohio 43113Phone: 740-474-5823Email: jgillow@pickawaycountyohio.govDISCLAIMER: All maps and data posted to this site were created by Pickaway County GIS Department and are for reference use only. All data has been developed from public records that are constantly undergoing change and is not warranted for content, completeness or accuracy. Pickaway County does not warrant, guarantee or represent the data to be fit for a particular use or purpose. If detailed information is required for data layers shown, please contact the GIS Department. Please notify the Pickaway County GIS Department with any discrepancies.

Priority Areas for Environmental Restoration is a composite of multiple primary source datasets. As a result, there is no formal data dictionary available for this layer. For those seeking more information regarding the constituent datasets that comprise this layer, it is advised that reference be made to the primary sources. These primary sources may contain their own data dictionaries, metadata, or other relevant documentation that can provide an in-depth comprehension of the data.

DISCLAIMER: The data herein is for informational purposes, and may not have been prepared for or be suitable for legal, engineering, or surveying intents. The County of Los Angeles reserves the right to change, restrict, or discontinue access at any time. All users of the maps and data presented on https://lacounty.maps.arcgis.com or deriving from any LA County REST URLs agree to the "Terms of Use" outlined on the County of LA Enterprise GIS (eGIS) Hub (https://egis-lacounty.hub.arcgis.com/pages/terms-of-use).

OVERALL PNA+ DISCLAIMER: The PNA+ is an informational and aspirational document. Priority areas for environmental conservation and restoration are identified by overlaying and scoring based on existing publicly accessible data layers. The mapping and analysis conducted are not parcel-specific and are intended to provide countywide and region-wide perspectives on where environmental benefits and burdens are concentrated and where conservation and restoration efforts should be prioritized. As PNA+ is not a regulatory document, it will not result in additional requirements or changes to approved land use entitlements and permits. Furthermore, implementation of PNA+ will require further analyses and actions that are not within the purview of the PNA+ Final Report.