To view and download tax plat maps, click on the DATA tab above. To find a map, select a column heading to sort the table by zone or section number. Or refine your search by the clicking the filter icon at the top of each column. To view or download the tax plat map, click on the URL under ViewMap next to the ZSP map number. Alternatively, use the online Parcel and Zoning Map to search for tax plat maps by address, tax map key (TMK), or using a map interface.

DCGIS is an interactive map that provides increased functionality for advanced users as well as access to about 150 layers of GIS data, including parcel information, contour lines, aerial photography, county park amenities, park trails, bikeways, county road construction, roundabouts, floodplains and more. It allows you to create a map at any scale you wish.
The Interactive GIS Map is intended for use on any device - mobile or desktop - with high speed access.

FOR PLAT MAPS AND OTHER LAND DOCUMENTS, PLEASE VISIT THE COUNTY CLERK’S OFFICIAL RECORDS SEARCH: HTTPS://BEXAR.TX.PUBLICSEARCH.US.The Bexar County GIS Team does not have purview over plat maps and other land records. Please visit the Bexar County Clerk’s Official Records Search.

FunCoup network information for gene Plat in Mus musculus. TPA_MOUSE Tissue-type plasminogen activator

This site provides access to digital copies of the plats received by the Land Surveyor Office. Users can access plat information by searching on township-range-section, county or using other common means. Users also have the option to register for weekly or monthly updates by county. The site is populated with scanned plats submitted to the State Surveyors Office.

Protein-Protein, Genetic, and Chemical Interactions for PLAT (Mus musculus) curated by BioGRID (https://thebiogrid.org); DEFINITION: plasminogen activator, tissue

FunCoup network information for gene PLAT in Sus scrofa. TPA_PIG Tissue-type plasminogen activator

FunCoup network information for gene Plat in Rattus norvegicus. TPA_RAT Tissue-type plasminogen activator

FunCoup network information for gene PLAT in Bos taurus. A0A452DIF6_BOVIN Plasminogen activator

description: The TRSQ digital data set represents the Township, Range, Section, Quarter section, and Quarter-quarter section divisions of the state. Beginning in the late 1840s, the federal government began surveying Minnesota as part of the Public Land Survey System (PLSS). The resulting network of land survey lines divided the state into townships, ranges, sections, quarter sections, quarter-quarter sections and government lots, and laid the groundwork for contemporary land ownership patterns. The quarter-quarter section remains an important subdivision for rural Minnesota since these lines are used to define local boundaries, roads, and service areas. All survey lines were extended across water bodies despite the fact that U.S. Geological Survey (USGS) base maps depict them only on land. This addition allows all sections and townships to be represented as closed areas ensuring that township and range location can be determined for any point in the state. It also means that the data is not affected if lake levels change over time. The township, range and section boundaries were digitized at MnGeo (formerly the Land Management Information Center - LMIC) from the USGS 30' x 60' map series (1:100,000-scale). Quarter section and quarter-quarter section subdivisions were calculated using the section lines. They were not digitized from original plat book survey lines or from the meandered lines that surveyors laid out around water bodies. The existence of government lots within a quarter-quarter section is recorded in the data set; however, the government lot boundaries were not digitized. If a quarter-quarter section contains more than one government lot, the number of lots is recorded -- see Lineage, Section 2, for more detail. Note: For most uses, TRSQ has been superseded by the Minnesota Department of Natural Resources (DNR) 1:24,000-scale 'Control Point Generated PLS' data set which is free online. See https://gisdata.mn.gov/dataset/plan-mndnr-public-land-survey for more information. Also, many county surveyors offices have more accurate PLS (Public Land Survey) data sets. For county webpages and contact information, see http://www.mngeo.state.mn.us/cty_contacts.html .; abstract: The TRSQ digital data set represents the Township, Range, Section, Quarter section, and Quarter-quarter section divisions of the state. Beginning in the late 1840s, the federal government began surveying Minnesota as part of the Public Land Survey System (PLSS). The resulting network of land survey lines divided the state into townships, ranges, sections, quarter sections, quarter-quarter sections and government lots, and laid the groundwork for contemporary land ownership patterns. The quarter-quarter section remains an important subdivision for rural Minnesota since these lines are used to define local boundaries, roads, and service areas. All survey lines were extended across water bodies despite the fact that U.S. Geological Survey (USGS) base maps depict them only on land. This addition allows all sections and townships to be represented as closed areas ensuring that township and range location can be determined for any point in the state. It also means that the data is not affected if lake levels change over time. The township, range and section boundaries were digitized at MnGeo (formerly the Land Management Information Center - LMIC) from the USGS 30' x 60' map series (1:100,000-scale). Quarter section and quarter-quarter section subdivisions were calculated using the section lines. They were not digitized from original plat book survey lines or from the meandered lines that surveyors laid out around water bodies. The existence of government lots within a quarter-quarter section is recorded in the data set; however, the government lot boundaries were not digitized. If a quarter-quarter section contains more than one government lot, the number of lots is recorded -- see Lineage, Section 2, for more detail. Note: For most uses, TRSQ has been superseded by the Minnesota Department of Natural Resources (DNR) 1:24,000-scale 'Control Point Generated PLS' data set which is free online. See https://gisdata.mn.gov/dataset/plan-mndnr-public-land-survey for more information. Also, many county surveyors offices have more accurate PLS (Public Land Survey) data sets. For county webpages and contact information, see http://www.mngeo.state.mn.us/cty_contacts.html .

This Image Service of Maryland Property Data allows for the manipulation of the display properties of the Statewide Tax Maps dataset. This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/ImageServer

These parcel boundaries represent legal descriptions of property ownership, as recorded in various public documents in the local jurisdiction. The boundaries are intended for cartographic use and spatial analysis only, and not for use as legal descriptions or property surveys. Tax parcel boundaries have not been edge-matched across municipal boundaries.

The Maine Geoparcel Viewer Application allows users to search and view available digital parcel data for Organized Townships and Unorganized Territories in the State of Maine. The Maine GeoLibrary and the Maine Office of GIS do not maintain parcel data for communities, cannot verify parcel ownership, and are not responsible for individual parcel data verification or updating emergency records concerning parcel addresses. If you have questions about a specific parcel, please contact the appropriate Town Office or County Registry of Deeds for the most up-to-date information.Within Maine, real property data is maintained by the government organization responsible for assessing and collecting property tax for a given location. Organized towns and townships maintain authoritative data for their communities and may voluntarily submit these data to the Maine GeoLibrary Parcel Project. The "Maine Parcels Organized Towns Feature" layer and "Maine Parcels Organized Towns ADB" table are the product of these voluntary submissions. Communities provide updates to the Maine GeoLibrary on a non-regular basis, which affects the currency of Maine GeoLibrary parcels data; some data are more than ten years old. Please contact the appropriate Town Office or the County Registry of Deeds for more up-to-date parcel information. Organized Town data should very closely match registry information, except in the case of in-process property conveyance transactions.In Unorganized Territories (defined as those regions of the state without a local government that assesses real property and collects property tax), Maine Revenue Services is the authoritative source for parcel data. The "Maine Parcels Unorganized Territory" layer is the authoritative GIS data layer for the Unorganized Territories. However, it must always be used with auxiliary data obtained from the online resources of Maine Revenue Services to compile up-to-date parcel ownership information.

License Plate Frame Market Outlook

The global license plate frame market size was valued at approximately USD 500 million in 2023 and is projected to reach USD 725 million by 2032, growing at a CAGR of 4.2% during the forecast period. Several factors are driving the growth of this market, including an increase in vehicle sales, heightened focus on vehicle aesthetics, and stringent regulations mandating the use of license plates. The integration of technology within license plate frames, such as RFID tags and anti-theft mechanisms, is also anticipated to spur market growth throughout the forecast period.

A key growth factor for the license plate frame market is the continuous rise in global vehicle production and sales. The automotive industry has seen a steady increase in demand, driven by growing economies and increasing consumer disposable incomes, which directly influences the demand for vehicle accessories, including license plate frames. Furthermore, with the emergence of electric vehicles and their increasing acceptance in mainstream markets, the need for customized and aesthetically pleasing license plate frames is expected to rise, providing a significant boost to the market. The trend of vehicle customization also plays a crucial role, as consumers are more inclined to personalize their vehicles, thus boosting demand for specialized license plate frames.

Another factor contributing to market growth is the evolving regulatory standards pertaining to vehicle registration and display requirements. Governments across the globe are implementing stringent regulations to ensure the uniformity and visibility of license plates. This has led to a rise in demand for quality license plate frames that not only comply with legal standards but also enhance the durability and appearance of license plates. In addition, the incorporation of advanced features such as tamper-proof designs and weather-resistant materials in license plate frames is gaining popularity, further contributing to market expansion.

The increasing adoption of digital and online sales channels also fuels the growth of the license plate frame market. With the rise of e-commerce platforms, consumers now have access to a broader range of products and can easily compare prices and features, leading to an increase in online purchases of vehicle accessories, including license plate frames. This shift towards online retail is supported by the convenience and ease of access it offers, along with competitive pricing. As more consumers turn to digital platforms for purchasing vehicle accessories, the market is likely to see sustained growth over the forecast period.

Regionally, the Asia Pacific is expected to hold a significant share of the license plate frame market, driven by the rapid expansion of the automotive industry in countries like China and India. The increasing number of vehicle owners and the growing trend of vehicle customization in these regions are major contributing factors. North America and Europe are also key markets due to high vehicle ownership rates and strict regulatory norms regarding vehicle licensing. Additionally, technological advancements in vehicle accessories and the presence of major automotive manufacturers in these regions are anticipated to drive market growth.

Material Type Analysis

The material type segment of the license plate frame market is dominated by plastic, metal, carbon fiber, and other materials. Plastic frames are widely preferred due to their affordability, lightweight nature, and ease of customization. This makes them a popular choice among consumers seeking cost-effective yet aesthetically pleasing options. The flexibility of plastic allows for the production of frames in various shapes and styles, catering to the diverse preferences of vehicle owners. Moreover, advancements in plastic technology have led to the development of more durable and weather-resistant frames, enhancing their appeal.

Metal license plate frames, although more expensive than plastic, offer superior durability and a premium look. These frames are often chosen for their strength and ability to withstand harsh environmental conditions, making them a favored option for consumers seeking long-lasting products. Stainless steel and aluminum are the most commonly used metals in this category. The increasing demand for high-end vehicle accessories and the growing trend of luxury vehicle customization are key factors driving the growth of metal license plate frames in the market.

Carbon fiber frames represent a niche yet rapidly growing segment within th

Map containing all Porter County GIS feature layers publicly available. Dynamic data sets are updated daily. Individual copies of this data are available in the Porter County GIS Office.

Update information can be found within the layer’s attributes and in a table on the Utah Parcel Data webpage under Basic Parcels."Database containing parcel boundary, parcel identifier, parcel address, owner type, and county recorder contact information" - HB113. The intent of the bill was to not include any attributes that the counties rely on for data sales. If you want other attributes associated with the parcels you need to contact the county recorder.Users should be aware the owner type field 'OWN_TYPE' in the parcel polygons is a very generalized ownership type (Federal, Private, State, Tribal). It is populated with the value of the 'OWNER' field where the parcel's centroid intersects the CADASTRE.LandOwnership polygon layer.This dataset is a snapshot in time and may not be the most current. For the most current data contact the county recorder.

Note: this map service is being replaced by a new set of feature layers, please use these instead:Historical Tsunami EventsTsunami ObservationsSignificant EarthquakesSignificant Volcanic EventsVolcano LocationsCurrent DARTs and Retrospective BPR DeploymentsHistorical MarigramsTsunami-Capable Tide StationsPlate BoundariesNatural hazards such as earthquakes, tsunamis, and volcanoes affect both coastal and inland areas. Long-term data from these events can be used to establish the past record of natural hazard event occurrences, which is important for planning, response, and mitigation of future events. NOAA's National Centers for Environmental Information (NCEI) plays a major role in post-event data collection. The data in this archive is gathered from scientific and scholarly sources, regional and worldwide catalogs, tide gauge reports, individual event reports, and unpublished works. For more information, please see: https://www.ncei.noaa.gov/products/natural-hazardsTo view this service in an interactive mapping application, please see the Global Natural Hazards Data Viewer (NOAA GeoPlatform entry).