The Kansas Master Ground-water Well Inventory (MWI) is a central repository that imports and links together the State's primary ground-water well data sets- KDHE's WWC5, KDA-DWR's WIMAS, and KGS' WIZARD into a single, online source. The most "accurate" of the common source fields are used to represent the well sites, for example- GPS coordinates if available are used over other methods to locate a well. The MWI maintains the primary identification tags to allow specific well records to be linked back to the original data sources.This data is compiled by the Kansas Geological Survey. For more information, please see the Groundwater Master Well Inventory page.

The U.S. Fish and Wildlife Service Corporate Master Table (CMT) is the official source of Service organization codes and related information. Information in the CMT includes, but is not limited to, organization codes, organization names, Federal Budget Management System (FBMS), cost center codes, fire unit identifiers, program names, mailing and physical/shipping addresses, telephone and fax numbers as well as latitude and longitude coordinates. The CMT enables all Service automated systems to utilize a corporate data set of known quality, eliminating the workload required to maintain each system's data set, and thereby facilitating data sharing. Other customers for the CMT are Service personnel who maintain directories, communicate with Congress and with the Public, maintain World Wide Web sites, etc. These spatial data were created using the information in the CMT. The CMT contains location information on all the offices within the Service that have an organization code. Unstaffed offices and some other facilities may not be included. The latitude and longitude points used are usually the location of the main administrative site. The latitude and longitude data is not completely verified but is the best we have at this time. This data set is intended to give an overview of where USFWS has stations across the United States and Territories, including locations outside the 50 states. It is not intended to be the exact location of every USFWS office. The CMT is primarily used for accounting purposes and therefore one location in the CMT can represent many different offices. Some points are duplicates where a station, most usually an Ecological Field Office, may be associated with more than one USFWS program. This data is updated from an internal authoritative source every night at 2:30am EST.For a direct link to the official Enterprise Geospatial dataset and metadata: https://ecos.fws.gov/ServCat/Reference/Profile/60076.Dataset contact: fwsgis@fws.gov

This view supports the Payroll History Dashboard. Update schedule is Once per Month.

Deprecated as of 4/27/2023On 4/27/2023 several COVID-19 datasets were retired and no longer included in public COVID-19 data dissemination. For more information, visit https://imap.maryland.gov/pages/covid-dataSummaryThe cumulative number of positive COVID-19 cases among Maryland residents within a single Maryland ZIP code.DescriptionThe MD COVID-19 - Cases by ZIP Code data layer is a collection of positive COVID-19 test results that have been reported each day by the local health department via the NEDSS system.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

This feature layer replaces the Master_RC_Geo_July_2022 feature layer. The original name does not change to allow future data updates without generating a new feature layer. This feature layer represents the changes to the Red Cross corporate geography for Fiscal Year 2025. The data was updated in January 2025 based on the January 2025 update from the original source files from Humanitarian Services, Operations. This Feature Layer supersedes all previous versions of the Red Cross Master Geography and should be used to update any Web Maps using a previous version.

Table View of Master_OP_EXP - Budgets and Actuals from FY 2016, 2017, 2018, 2019, and FYTD 2020. This View is the data source for Expense Dashboards. Update Schedule: Once per Month.

The Master Plan of Highways was originally developed by the County of Los Angeles Department of Public Works (DPW); it designates roadways in Los Angeles County by their planned capacity. Categories include major highway, secondary highway, limited secondary highway, parkway, and expressway. The entire County is depicted in this layer; but for all intents and purposes the jurisdiction is really for UNINCORPORATED areas of L.A. County and contract cities of the Department of Public Works.Source: County of Los Angeles DPW; last update: May 30, 2019 for the adoption of the Centennial Specific Plan.NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of GIS Web Mapping Applications.

Otsego County GIS tax parcels Q1 2025. Spatial Reference of Map Service: WGS 1984 Web Mercator Auxiliary SphereCounty Contact: Levi N Anderson, M.S. GIS GIS Coordinator andersonl@otsegocountyny.gov

Table View of Master_OP_REV - including Budgets and Actuals from FY 2016, 2017, 2018, 2019, and FYTD 2020. This View is the data source for Revenue Dashboards. Update schedule: Once per Month.

This layer shows the Cavern Master Plan of Hong Kong. It is a subset of the geo-referenced data made available by the Civil Engineering and Development Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data has been processed and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population. New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA products which provide coverage for those areas.In the NFHL Viewer, you can use the address search or map navigation to locate an area of interest and the NFHL Print Tool to download and print a full Flood Insurance Rate Map (FIRM) or FIRMette (a smaller, printable version of a FIRM) where modernized data exists. Technical GIS users can also utilize a series of dedicated GIS web services that allow the NFHL database to be incorporated into websites and GIS applications. For more information on available services, go to the NFHL GIS Services User Guide.You can also use the address search on the FEMA Flood Map Service Center (MSC) to view the NFHL data or download a FIRMette. Using the “Search All Products” on the MSC, you can download the NFHL data for a County or State in a GIS file format. This data can be used in most GIS applications to perform spatial analyses and for integration into custom maps and reports. To do so, you will need GIS or mapping software that can read data in shapefile format.FEMA also offers a download of a KMZ (keyhole markup file zipped) file, which overlays the data in Google Earth™. For more information on using the data in Google Earth™, please see Using the National Flood Hazard Layer Web Map Service (WMS) in Google Earth™.

Updated Continually

This layer shows the Invigorating Island South Conceptual Master Plan 3.0 Wong Chuk Hang Aberdeen and Ap Lei Chau.. It is a set of data made available by the Development Bureau under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

This layer represents the Division level geography with associated Division jurisdictions. This feature layer represents the changes to the Red Cross corporate geography for Fiscal Year 2025. The data was updated in January 2025 based on the January 2025 update from the original source files from Humanitarian Services, Operations. This Feature Layer supersedes all previous versions of the Red Cross Master Geography and should be used to update any Web Maps using a previous version.

Zoning designations of land use within the unincorporated areas of Napa County.

Access the file geodatabase source data in SC State Plane coordinate system

Summary: NEW VERSION is at https://esriurl.com/agoschoolcompStorymap metadata page: URL forthcoming Possible K-12 Next Generation Science standards addressed:Grade level(s) 6-8: Standard MS-LS4-4 - Biological Evolution: Unity and Diversity - Construct an explanation based on evidence that describes how genetic variations of traits in a population increase some individuals’ probability of surviving and reproducing in a specific environmenGrade level(s) 6-8: Standard MS-LS4-6 - Biological Evolution: Unity and Diversity - Use mathematical representations to support explanations of how natural selection may lead to increases and decreases of specific traits in populations over timeGrade level(s) 6-8: Standard MS-ESS1-2 - Earth’s Place in the Universe - Develop and use a model to describe the role of gravity in the motions within galaxies and the solar systemGrade level(s) 6-8: Standard MS-ESS2-4 - Earth’s Systems - Develop a model to describe the cycling of water through Earth’s systems driven by energy from the sun and the force of gravityGrade level(s) 9-12: Standard HS-PS1-2 - Matter and Its Interactions - Construct and revise an explanation for the outcome of a simple chemical reaction based on the outermost electron states of atoms, trends in the periodic table, and knowledge of the patterns of chemical propertiesGrade level(s) 9-12: Standard HS-LS2-1 - Ecosystems: Interactions, Energy, and Dynamics - Use mathematical and/or computational representations to support explanations of factors that affect carrying capacity of ecosystems at different scalesGrade level(s) 9-12: Standard HS-LS4-2 - Biological Evolution: Unity and Diversity - Construct an explanation based on evidence that the process of evolution primarily results from four factors: (1) the potential for a species to increase in number, (2) the heritable genetic variation of individuals in a species due to mutation and sexual reproduction, (3) competition for limited resources, and (4) the proliferation of those organisms that are better able to survive and reproduce in the environment.Most frequently used words:competitionesrihsstateApproximate Flesch-Kincaid reading grade level: 10.3. The FK reading grade level should be considered carefully against the grade level(s) in the NGSS content standards above.

Master plans (or area master plans, or sector plans) are longterm planning documents that provide detailed and specific land use and zoning recommendations for a specific place or geography of the county. They also address transportation, the natural environment, urban design, historic resources, public facilities, and implementation techniques. All master plans are amendments to the General Plan.. Web URLs for each master plan are available which details additional information and guidance for each plan. For more information, contact: GIS Manager Information Technology & Innovation (ITI) Montgomery County Planning Department, MNCPPC T: 301-650-5620

This layer represents the Chapter level geography with associated Division, Region and Chapter jurisdictions. This feature layer represents the changes to the Red Cross corporate geography for Fiscal Year 2025. The data was updated in January 2025 based on the January 2025 update from the original source files from Humanitarian Services, Operations. This Feature Layer supersedes all previous versions of the Red Cross Master Geography and should be used to update any Web Maps using a previous version.

Date: December 2020Summary: The Pacific lamprey has inhabited the rivers, streams and coastal waters of the west for 350 million years (BPA, 2005). These data describe areas of known distribution (this dataset is limited to Oregon, Washington and Idaho) currently and historically used by Pacific Lamprey. Pacific Lamprey, Entosphenus tridentata are native to the Pacific coast from Baja California to the Bering Sea. They are anadromous, migrating from their natal stream to the ocean and back, but unlike salmon, Pacific Lamprey spend well over half of their total life cycle in freshwater. Distribution data is mapped at a 1:24,000 scale and are based on the StreamNet Hydrography dataset. Type: ArcGIS Feature Layer View for Pacific Lamprey StoryMap. Only showing streams for Pacific Lamprey, Unknown lamprey streams not shown in this viewReason: Public outreach Scale: Web Source: Columbia River Fish and Wildlife Conservation Office curated the data from multiple sources (see metadata).