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TwitterThe NJDOT County Map Series provides a comprehensive and detailed view of the area, designed to assist residents and visitors alike. It features an extensive network of roads, including major highways such as Interstate 95 and the Garden State Parkway, as well as local roads for easier navigation. Transportation hubs like airports and railways are clearly marked, facilitating travel within and beyond the county. The map delineates county and municipal boundaries, helping users understand jurisdictional areas. Open spaces, such as state and county parks and nature reserves, are highlighted to showcase recreational opportunities. Waterways, including the Delaware River and various lakes and reservoirs, are prominently displayed. Local place names, including towns, cities, and neighborhoods, are indicated for easy location identification. Additionally, the map includes key institutions like colleges, universities, and hospitals, along with cultural features such as historical sites, museums, and landmarks. A legend and scale are provided for clarity, and inset maps offer detailed views of specific areas. This map is an invaluable tool for navigation, planning, and discovering the rich resources and attractions within the county.
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TwitterThis service is used in the Middlesex County Fire District Map. Contains data required to review mapping of Middlesex County Fire Districts. This map contains non editable data for review only. It is to be shared only with Middlesex County collaborators.Middlesex County Fire Districts: This dataset includes polygons that represent fire districts for municipalities in Middlesex County, NJ. See metadata for more information.Middlesex County Fire Stations: This dataset includes point feature showing the locations of Fire Stations in Middlesex County and Fire Stations within a 3 mile radius of the county boundary, since during emergencies near but within the boundary of the county, the nearest fire stations might be outside the county boundary. The primary source of the data was obtained from Fire Wiki, filtered to New Jersey, found at this url: https://fire.fandom.com/wiki/Category:New_Jersey This is a public/community curated website that has been checked and deemed to be accurate, though a few changes were made by Middlesex County GIS processors. Several fields were added to the feature class, including Company, Website, Phone #, Fire District, Municipality, Address, and Type (volunteer, professional), but these fields were only filled in for Middlesex County stations. See metadata for more information.
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TwitterData may include surficial geologic contacts, isopach contours lines, bedrock outcrop polygons, bedrock geologic contacts, hydrogeologic units and more. The surficial geologic materials data at a scale of 1:24,000 depict types of unconsolidated surficial and glacial materials overlying bedrock in Vermont. Data is created by mapping on the ground using standard geologic pace and compass techniques and/or GPS on a LiDAR or USGS 1:24000 topographic base map. The materials data is selected from the Vermont Geological Survey Open File Report (OFR) publication (https://dec.vermont.gov/geological-survey/publication-gis/ofr). The OFR contains more complete descriptions of map units, cross-sections, isopach maps and other information that may not be included in this digital data set.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Universal Transverse Mercator Coordinate System (ZONE 18N) and Lambert Conformal conic projection. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.
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TwitterDigital Data from VG2006-2 Gale, M.H., Kim, J., King, S., Montane, P., and Orsi, C., 2006,�Bedrock Geologic Map of the Southern Worcester Mountains Watershed, Middlesex and Stowe�7.5 minute quadrangles, Vermont: VGS Open-File Report VG2006-2, 3 color plates, scale 1:24,000. The bedrock geologic map data at a scale of 1:24,000 depicts types of bedrock underlying unconsolidated materials in Vermont. Data is created by mapping on the ground using standard geologic pace and compass techniques and/or GPS on a USGS 1:24000 topographic base map. Data may be organized by town, quadrangle or watershed. Each data bundle may includes point, line and polygon data and some or all of the following: 1) contacts (lithogic contacts), 2) fault_brittle, 3) fault_ductile, 4) fault_thrust, 5) fault_bed_plane (bedding plane thrust), 6) bedding, 7) bedding_graded (graded bedding) 8) bedding_overturn (overturned bedding), 9) bedding_select (selected points for published map), 10) foliation_n1, n2, n3 etc (foliation data), 11) outcrop (exposed outcrops), 12) field_station (outcrop and data collection point), 13) fold_axis, 14) axial_plane, 15) lamprophyre, 16) water_well_log (water well driller information), 16) linear_int (intersection lineation), 17) linear_str (stretching lineation) 18) x_section_line (line of cross-section), and photolinear (lineaments identified from air photos). Other feature classes may be included with each data bundle. (https://dec.vermont.gov/geological-survey/publication-gis/ofr).
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TwitterLink to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information
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TwitterMiddlesex County, VA has a C wealth grade. Median household income: $73,920. Unemployment rate: 4.4%. Income grows 5.1% yearly.
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TwitterMiddlesex County, MA has a A wealth grade. Median household income: $126,905. Unemployment rate: 4.2%. Income grows 5.1% yearly.
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TwitterBedrock Geologic Map of the Southern Worcester Mountains Watershed, Middlesex and Stowe 7 5 Minute Quadrangles, Vermont. Abstract was not provided, for more information on this resource and accessibility options please see the links provided.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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An Open Context "subjects" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This "Region" record is part of the "Map data of cuneiform collections in US colleges and universities" data publication.
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TwitterMiddlesex County, NJ has a B wealth grade. Median household income: $109,590. Unemployment rate: 6.4%. Income grows 4.5% yearly.
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TwitterPoint locations and limited attributes for hospitals of all types (acute care, rehabilitation, psychiatric, specialty), federally-qualified health centers, and satellite emergency departments, in New Jersey. Nursing homes and most standalone urgent care centers are not included. The point locations and most of the attributes are derived as periodic output from the NJ Department of Health (NJ DOH) Health Emergency Preparedness and Response (Hippocrates) system.This data was published to the Middlesex County Enterprise Geodatabase on 7/21/2020 from data dated 5/14/2020 at this link:https://njogis-newjersey.opendata.arcgis.com/datasets/hospitals-in-nj and has been modified by the Middlesex County Office of GIS to include a website field.
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TwitterExplore active listings and real-time home values for houses, condominiums, and townhomes in Middlesex NJ See prices, sizes, and property types on an interactive map.
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TwitterThe Regions are part of the national field level structure to support chapters. The Regions role is admistrative as well as provides oversight and program technical support to the Chapters. Red Cross Geography ModelCounties make up Chapters, Chapters make up Regions and Regions make up Divisions. There are four exceptions to the 'Counties to Chapter' model. Middlesex County, MA, Los Angeles, Kern, Riverside and San Bernardino Counties in California have more than one Chapter. (Many to One). In the case of these five counties, the geometry was dissolved from Zip Codes.This Region shapefile reflects the Regions boundaires as rolled up by Chapter with associated attribute information. http://maps.redcross.org/website/Services/ARC_Services.html
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TwitterWelcome to Middlesex County Open Data. This is the platform for exploring and downloading GIS data, discovering and building apps, and engaging others to solve important issues. You can analyze and combine datasets using maps, as well as develop new web and mobile applications. [County of Middlesex]
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TwitterAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
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The dataset has been created from registers of prisoners in Newgate Prison charged with indictable offences, most for trial at the Old Bailey. The information given includes the name of the prisoner, offences charged and outcomes, with physical descriptions and biographical details in many cases. In the 19th century, British prisons recorded ever-increasing amounts of physical, biometric and biographical information about prisoners. However, it is very unusual for 18th-century records to contain this type of detail, and these registers are consequently a rare and rich source. (Indeed, they surpass many 19th-century prison records because they are not restricted to convicted prisoners.) Their usefulness is further enhanced by information about the outcomes of cases.
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TwitterThese data are the lidar points collected for FEMA Risk Mapping, Assessment, and Planning (Risk MAP) for the Merrimack River Watershed. This area falls in portions of Hillsborough, Belknap, Merrimack, Rockingham and Strafford counties in New Hampshire and portions of Essex, Middlesex and Worcester counties in Massachusetts. Using a Leica ALS60 LiDAR system, a total of 268 flight lines of hig...
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TwitterThese data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the New Jersey, Northern digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Bergen, Essex, Hudson, Middlesex, Passaic, Somerset, and Union Counties. The DEM was produced from the following lidar data sets: 1. 2015 USGS Delaware Valley 2. 2014 USGS New Jersey CMGP Sandy 3. 2008 USGS/NJDEP New Jersey Statewide Lidar: Somerset County 4. 2006-2007 NGA Lidar: Metro New Jersey The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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Digital flood-inundation maps for coastal communities within Middlesex and Union Counties in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: ...
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TwitterThis parcels data set is a spatial representation of municipal tax lots for Middlesex County, New Jersey that have been extracted from the NJ statewide parcels composite by the NJ Office of Information Technology, Office of GIS (NJOGIS). Parcels at county boundaries have been modified to correspond with the NJ county boundaries and the parcels in adjacent counties.Each parcel contains a field named PAMS_PIN based on a concatenation of the county/municipality code, block number, lot number and qualification code. Using the PAMS_PIN, the dataset can be joined to the MOD-IV database table that contains supplementary attribute information regarding lot ownership and characteristics. Due to irregularities in the data development process, duplicate PAMS_PIN values exist in the parcel records. Users should avoid joining MOD-IV database table records to all parcel records with duplicate PAMS_PINs because of uncertainty regarding whether the MOD-IV records will join to the correct parcel records. There are also parcel records with unique PAMS_PIN values for which there are no corresponding records in the MOD-IV database tables. This is mostly due to the way data are organized in the MOD-IV database.The polygons delineated in the dataset do not represent legal boundaries and should not be used to provide a legal determination of land ownership. Parcels are not survey data and should not be used as such.The MOD-IV (Tax Assessor's) table for the county is packaged together with the parcels as one download. The MOD-IV system provides for uniform preparation, maintenance, presentation and storage of property tax information required by the Constitution of the State of New Jersey, New Jersey Statutes and rules promulgated by the Director of the Division of Taxation. MOD-IV maintains and updates all assessment records and produces all statutorily required tax lists for property tax bills. This list accounts for all parcels of real property as delineated and identified on each municipality's official tax map, as well as taxable values and descriptive data for each parcel. Tax List records were received as raw data from the Taxation Team of NJOIT which collected source information from municipal tax assessors and created the statewide table. This table was subsequently processed for ease of use with NJ tax parcel spatial data and split into an individual table for each county.***NOTE*** For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.
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TwitterThe NJDOT County Map Series provides a comprehensive and detailed view of the area, designed to assist residents and visitors alike. It features an extensive network of roads, including major highways such as Interstate 95 and the Garden State Parkway, as well as local roads for easier navigation. Transportation hubs like airports and railways are clearly marked, facilitating travel within and beyond the county. The map delineates county and municipal boundaries, helping users understand jurisdictional areas. Open spaces, such as state and county parks and nature reserves, are highlighted to showcase recreational opportunities. Waterways, including the Delaware River and various lakes and reservoirs, are prominently displayed. Local place names, including towns, cities, and neighborhoods, are indicated for easy location identification. Additionally, the map includes key institutions like colleges, universities, and hospitals, along with cultural features such as historical sites, museums, and landmarks. A legend and scale are provided for clarity, and inset maps offer detailed views of specific areas. This map is an invaluable tool for navigation, planning, and discovering the rich resources and attractions within the county.