The New Jersey Office of Information Technology, Office of GIS (NJOGIS), in partnership with several local GIS and public safety agencies, as well as the NJ Department of Transportation, has built a comprehensive statewide NG9-1-1 database meeting and exceeding the requirements of the National Emergency Number Association (NENA) 2018 NG9-1-1 GIS Data Standard (NENA-STA-006.1-2018). The previous New Jersey statewide road segment data (Tran_road_centerline_NJ), which included the road name alias information, has been transformed into the NENA data model to create the street name alias table.The existing road centerlines were loaded into New Jersey's version of the NENA NG9-1-1 data model using Extract, Transform and Load (ETL) procedures created with Esri's Data Interoperability Extension. The data subsequently have been updated and corrected.The road centerlines no longer contain any linear referencing information. The linear referencing will only be maintained by the NJ Department of Transportation as part of the NJ Roadway Network.

The New Jersey Department of Transportation (NJDOT), Bureau of Transportation Data and Support (BTD&S), in cooperation with the U.S. Department of Transportation (USDOT), Federal Highway Administration (FHWA) is required to update the urban area and functional classification of roadways following the decennial Census as part of the Federal-Aid highway funding program. This dataset contains the updated urban area boundaries for the 2020 Census update cycle.

The South Jersey Transportation Planning Organization (SJTPO) is the Metropolitan Planning Organization (MPO) covering Atlantic, Cape May, Cumberland, and Salem Counties in southern New Jersey. Formed in 1993, SJTPO serves as a technical resource, provides access to funding, and works to provide a regional approach to address transportation planning and engineering issues.The Fixed Object data layer was created by isolating all roads within RNF that reside within the SJTPO region. Segments with a functional class of 3-7 were included. Segments with jurisdiction other than NJDOT, NJ Turnpike Authority, and South Jersey Transportation Authority were also included. Segments whose SRIs are state roads were not included. The final version utilized the county boundaries, jurisdiction, functional class, speed limit and number of lanes tables from the NJDOT SLD Database to generate the breaks. Attributes were documented along the segment using the latest aerial imagery available (NJGIN Natural Color 2020 WMS Aerial Imagery or Google Maps) and Google Street View imagery. An attribute was documented only if it was present for at least 50% of the segment’s distance. The project began in October 2023 and was completed by April 2024.More information of the data collection effort can be found here.

This feature class consists of coastal and off-shore point locations of existing lighthouses within the state boundary of New Jersey. Lighthouse structures that have been physically removed are not included in this feature class. Lighthouse boats are also not included.Several lighthouses remain in use as navigational aids, some function as tourist attractions and others are not currently in use for a public purpose. This feature class does not distinguish between their current uses.

This update (2024) includes the trace elements (metals and metalloids) data from the 6th sampling cycle (2020-2022) of the New Jersey Ambient Groundwater Quality Monitoring Network (AGWQMN). Trace elements are inorganic chemicals that generally occur at concentrations less than 1 mg/L in water. Metals and metalloids are classified as trace elements. They occur naturally in ground water but can also be introduced or mobilized by human activity. The trace elements analyzed for in the Ambient Ground Water Quality Monitoring Network include: Arsenic dissolved as As, Barium dissolved as Ba, Beryllium dissolved as Be, Boron dissolved as B, Cadmium dissolved as Cd, Chromium dissolved as Cr, Copper dissolved as Cu, Iron dissolved as Fe, Lead dissolved as Pb, Manganese dissolved as Mn, Nickel dissolved as Ni, Zinc dissolved as Zn, Antimony dissolved as Sb, and Aluminum dissolved as Al, Selenium dissolved as Se, Mercury dissolved as Hg. Samples were analyzed using United States Geological Survey (USGS) National Water Quality Laboratory (NWQL) Schedule 1622, Trace Elements. Concentrations are reported in micrograms per liter, ug/l. New Jersey's AGWQMN is a cooperative program between the New Jersey Department of Environmental Protection (NJDEP) and United States Geological Survey (USGS). The goals of the current network are to determine the status and trends of shallow groundwater quality as a function of land use related to non-point source pollution in New Jersey. This network consists of 150 monitoring wells screened at the water table. Thirty of these wells were sampled per year on a 5 year cycle from 1999-2013. Beginning with the 4th sampling cycle in 2014, the sampling frequency was changed to once every 3 years (3-year cycle). This layer includes data from sampling cycle 6; samples were collected between 2020 and 2022. The New Jersey Geological and Water Survey (NJGWS) manages the network design, well installation, well maintenance, data interpretation, reporting, and a portion of the well sampling. The NJDEP Bureau of Fresh Water and Biological Monitoring and the United States Geological Survey (USGS) collect the remaining ground-water samples and the USGS National Water Quality Laboratory in Denver, Colorado or their contracted laboratories analyzes them. Chemical and physical parameters analyzed at each well include field parameters such as pH, specific conductance, dissolved oxygen, water temperature and alkalinity, major ions, trace elements (metals), gross-alpha particle activity (radionuclides), volatile organic compounds, nutrients, and pesticides.

This update (2024) includes the pesticides data from the 6th sampling cycle (2020-2022) of the New Jersey Ambient Groundwater Quality Monitoring Network (AGWQMN). Pesticides are synthetic chemical compounds used to control undesirable organisms such as weeds, funguses, insects, and vermin. Major categories of pesticides include insecticides, miticides, fungicides, herbicides, and rodenticides. For this cycle, United States Geological Survey (USGS) National Water Quality Laboratory (NWQL) Schedule 2033 was used to analyze for a suite of pesticides. Concentrations are reported in micrograms per liter (ug/L). Pesticide analyses designated as dissolved refer to a representative water sample that has passed through a 0.7-micrometer membrane filter before analysis. New Jersey's AGWQMN is a cooperative program between the New Jersey Department of Environmental Protection (NJDEP) and United States Geological Survey (USGS). The goals of the current network are to determine the status and trends of shallow groundwater quality as a function of land use related to non-point source pollution in New Jersey. This network consists of 150 monitoring wells screened at the water table. Thirty of these wells were sampled per year on a 5 year cycle from 1999-2013. Beginning with the 4th sampling cycle in 2014, the sampling frequency was changed to once every 3 years (3-year cycle). This layer includes data from sampling cycle 6; samples were collected between 2020 and 2022. The New Jersey Geological and Water Survey (NJGWS) manages the network design, well installation, well maintenance, data interpretation, reporting, and a portion of the well sampling. The NJDEP Bureau of Fresh Water and Biological Monitoring and the United States Geological Survey (USGS) collect the remaining ground-water samples and the USGS National Water Quality Laboratory in Denver, Colorado or their contracted laboratories analyzes them. Chemical and physical parameters analyzed at each well include field parameters such as pH, specific conductance, dissolved oxygen, water temperature and alkalinity, major ions, trace elements (metals), gross-alpha particle activity (radionuclides), volatile organic compounds, nutrients, and pesticides.

This is a subset of slope mapping which constitues the Steep Slope Protection Area in the Highlands Region showing areas that are a minimum of 5,000 square feet for any combination of the following categories of steep slopes: Severely Constrained Slopes: All lands with slopes of 20% or greater and lands within Riparian Areas with slopes of 10% and greater Moderately Constrained Slopes: All non-Riparian Area lands having a slope of 15% to less than 20% which are forested Constrained Slopes: All non-Riparian Area lands having a slope of 15% to less than 20% which are non-forested with one or more of the following characteristics: a) highly susceptible to erosion; b) shallow depth to bedrock; or c) a Soil Capability Class indicative of wet or stony soils. Limited Constrained Slopes: All non-Riparian Area lands having a slope of 15% to less than 20%, which are non-forested, are not highly susceptible to erosion, and do not have a shallow depth to bedrock or a Soil Capability Class indicative of wet or stony soils. Steep slopes within the Highlands Region play an important ecological, recreational, scenic, and functional role. Steep slopes and rocky ridgelines provide specialized habitats that are home to rare plant and animal species. Areas of steep slope provide popular recreational opportunities including hiking, climbing, and wildlife observation. Ridgelines, hillsides, and steep slopes provide scenic views and vistas, which contribute to the rural character of the Highlands Region and help to define the landscape. Disturbance of areas containing steep slopes can trigger erosion and sedimentation, resulting in the loss of topsoil. Silting of wetlands, lakes, ponds, and streams damages and degrades wetland and aquatic habitats, especially trout streams that are found throughout the Highlands and receive the State’s highest water quality protections. Steep slope disturbance can also result in the loss of habitat quality, degradation of surface water quality, silting of wetlands, and alteration of drainage patterns. These processes, when severe, can also result in land slumping and landslides that can damage both developed property and ecosystems. The severity and extent of slopes, soil characteristics, and land cover all affect the potential for damages from the disturbance of steep slopes. The identification and classification of steep slopes is important in order to effectively manage critical natural resources in the Highlands Region.