The Base Layers for New Hampshire service comprises political boundary, transportation, places of interest, cell tower, USGS quadrangle boundary, and transmission/pipeline features. These data originate from a variety of sources, most notably the NH Department of Transportation, the US Geological Survey, and the NH Office of Energy and Planning.

This dataset is refreshed on a weekly basis from the datasets the team works on daily.Last update date: 27 June 2025.National Highways Operational Highway Boundary (RedLine) maps out the land belonging to the highway for the whole Strategic Road Network (SRN). It comprises two layers; one being the an outline and another showing the registration status / category of land of land that makes up the boundary. Due to the process involved in creating junctions with local highway authority (LHA) roads, land in this dataset may represent LHA highway (owned by National Highways but the responsibility of the LHA to maintain). Surplus land or land held for future projects does not form part of this dataset.The highway boundary is derived from:Ordnance Survey Mastermap Topography,HM Land Registry National Polygon Service (National Highway titles only), andplots researched and digitised during the course of the RedLine Boundary Project.The boundary is split into categories describing the decisions made for particular plots of land. These categories are as follows:Auto-RedLine category is for plots created from an automated process using Ordnance Survey MasterMap Topography as a base. Land is not registered under National Highways' name. For example, but not limited to, unregistered ‘ancient’ highway vested in Highways England, or bridge carrying highways over a rail line.NH Title within RedLine category is for plots created from Land Registry Cadastral parcels whose proprietor is National Highways or a predecessor. Land in this category is within the highway boundary (audited) or meets a certain threshold by the algorithm.NH Title outside RedLine category is for plots created in the same way as above but these areas are thought to be outside the highway boundary. Where the Confidence is Low, land in this category is yet to be audited. Where the Confidence is High, land in this category has been reviewed and audited as outside our operational boundary.National Highways (Technician) Data category is for plots created by National Highways, digitised land parcels relating to highway land that is not registered, not yet registered or un-registerable.Road in Tunnel category, created using tunnel outlines from Ordnance Survey MasterMap Topography data. These represent tunnels on Highways England’s network. Land is not registered under National Highways' name, but land above the tunnel may be in National Highways’ title. Please refer to the definitive land ownership records held at HM Land Registry.The process attribute details how the decision was made for the particular plot of land. These are as follows:Automated category denotes data produced by an automated process. These areas are yet to be audited by the company.Audited category denotes data that has been audited by the company.Technician Data (Awaiting Audit) category denotes data that was created by National Highways but is yet to be audited and confirmed as final.The confidence attribute details how confident you can be in the decision. This attribute is derived from both the decisions made during the building of the underlying automated dataset as well as whether the section has been researched and/or audited by National Highways staff. These are as follows:High category denotes land that has a high probability of being within the RedLine boundary. These areas typically are audited or are features that are close to or on the highway.Moderate category denotes land that is likely to be within the highway boundary but is subject to change once the area has been audited.Low category denotes land that is less likely to be within the highway boundary. These plots typically represent Highways England registered land that the automated process has marked as outside the highway boundary.Please note that this dataset is indicative only. For queries about this dataset please contact the GIS and Research Team.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Both the New Jersey Department of Transportation (NJDOT) and the Pennsylvania Department of Transportation (PennDOT) track pavement conditions as required by federal regulations for state-maintained and National Highway System (NHS) roadways. NJDOT and PennDOT maintain data on the condition of all federal- and state-owned roadways.

States and the Federal Highway Administration use a number of different methodologies for classifying pavement conditions. A common measure of road condition is the International Roughness Index (IRI). The IRI determines pavement roughness conditions based on total inches of surface variation per mile. IRI is one of the pavement condition measurements that PennDOT uses. New Jersey integrates two condition measures, IRI and its Surface Distress Index (SDI), into condition ratings. SDI was developed by NJDOT based on the size of cracks, holes, and ruts in a roadway. Therefore, when segment miles (see below) or percentage of segment miles are added up for the region, note that these are aggregations combining two different classification methods.

Segment miles are used in the pavement conditions graphs, as both states provide data to calculate this metric. Segment miles measure the roadway length. Length is doubled for divided facilities. Unlike lane miles which fully account for pavement width, segment miles underrepresent the pavement conditions of wider roads and highways, with more lanes. About 4,200 segment miles of road are tracked in Pennsylvania and about 1,600 are tracked in New Jersey. These roads are primarily those owned and maintained by each state DOT, though they include some locally maintained roads that are a part of the National Highway System (NHS). The NHS is a federally designated network of roadways important to the nation’s economy, defense, and mobility. Section 1104 of the Moving Ahead for Progress in the 21st Century Act (MAP-21) expanded the NH) by including all principal arterials in existence on October 1, 2012. adding 60,000 miles to the NHS. This is the reason for the increase in NHS segment miles in 2013 in the charts below, along with the decrease in non-NHS segment miles.

Diazo copy of Hubbard Brook Watershed Map generated stereophoto- grammetrically based on May, 1956 aerial photography. Shows New Hampshire state plane coordinate system reference points which were projected into UTM Zone 19 and used as reference tics. The roads and trails locations were manually digitized. In 2014, roads data layer was updated to reflect road locations as indicated in lidar data. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

This dataset is refreshed on a weekly basis from the datasets the team works on daily.Last update date: 20 June 2025.National Highways Operational Highway Boundary (RedLine) maps out the land belonging to the highway for the whole Strategic Road Network (SRN). It comprises two layers; one being the an outline and another showing the registration status / category of land of land that makes up the boundary. Due to the process involved in creating junctions with local highway authority (LHA) roads, land in this dataset may represent LHA highway (owned by National Highways but the responsibility of the LHA to maintain). Surplus land or land held for future projects does not form part of this dataset.The highway boundary is derived from:Ordnance Survey Mastermap Topography,HM Land Registry National Polygon Service (National Highway titles only), andplots researched and digitised during the course of the RedLine Boundary Project.The boundary is split into categories describing the decisions made for particular plots of land. These categories are as follows:Auto-RedLine category is for plots created from an automated process using Ordnance Survey MasterMap Topography as a base. Land is not registered under National Highways' name. For example, but not limited to, unregistered ‘ancient’ highway vested in Highways England, or bridge carrying highways over a rail line.NH Title within RedLine category is for plots created from Land Registry Cadastral parcels whose proprietor is National Highways or a predecessor. Land in this category is within the highway boundary (audited) or meets a certain threshold by the algorithm.NH Title outside RedLine category is for plots created in the same way as above but these areas are thought to be outside the highway boundary. Where the Confidence is Low, land in this category is yet to be audited. Where the Confidence is High, land in this category has been reviewed and audited as outside our operational boundary.National Highways (Technician) Data category is for plots created by National Highways, digitised land parcels relating to highway land that is not registered, not yet registered or un-registerable.Road in Tunnel category, created using tunnel outlines from Ordnance Survey MasterMap Topography data. These represent tunnels on Highways England’s network. Land is not registered under National Highways' name, but land above the tunnel may be in National Highways’ title. Please refer to the definitive land ownership records held at HM Land Registry.The process attribute details how the decision was made for the particular plot of land. These are as follows:Automated category denotes data produced by an automated process. These areas are yet to be audited by the company.Audited category denotes data that has been audited by the company.Technician Data (Awaiting Audit) category denotes data that was created by National Highways but is yet to be audited and confirmed as final.The confidence attribute details how confident you can be in the decision. This attribute is derived from both the decisions made during the building of the underlying automated dataset as well as whether the section has been researched and/or audited by National Highways staff. These are as follows:High category denotes land that has a high probability of being within the RedLine boundary. These areas typically are audited or are features that are close to or on the highway.Moderate category denotes land that is likely to be within the highway boundary but is subject to change once the area has been audited.Low category denotes land that is less likely to be within the highway boundary. These plots typically represent Highways England registered land that the automated process has marked as outside the highway boundary.Please note that this dataset is indicative only. For queries about this dataset please contact the GIS and Research Team.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

2014-2015 Snapshot of the full CEDS_GBD-MAPS dataset (available at: https://doi.org/10.5281/zenodo.3754964)

CEDS_GBD-MAPS Snapshot: Annual anthropogenic emissions of 7 key atmospheric pollutants from Dec 2014 - Feb 2015, produced using the Community Emissions Data System, updated for the Global Burden of Disease - Major Air Pollution Sources project (CEDS_GBD-MAPS).

Emissions are provided for NO_x, SO₂, CO, NH₃, NMVOCs, Black Carbon (BC), and Organic Carbon (OC) from 11 anthropogenic sectors and four fuel categories as both annual country totals and global gridded emission fluxes (0.5 x 0.5 degree resolution).
Note: The CEDS_GBD-MAPS inventory does not include emissions from open fires or aircraft.
Sectors:
1. Agriculture (non-combustion sources only, excludes open fires)
2. Energy (transformation and extraction)
3. Industry (combustion and non-combustion processes)
4. On-Road Transportation
5. Off-Road/Non-Road Transportation (rail, domestic navigation, other)
6. Residential Combustion
7. Commercial Combustion
8. Other Combustion
9. Solvents
10. Waste (disposal and handling)
11. International Shipping
Fuel Categories:
1. Total Coal Combustion (hard coal + brown coal + coal coke)
2. Solid Biofuel Combustion
3. Liquid Fuel (light oil + heavy oil + diesel oil) plus Natural Gas Combustion
4. CEDS Process Source Categories (see McDuffie, et al., (ESSD) 2020) for further details.
Note: Total anthropogenic emissions = the sum of fuel categories 1-4

Zip File Details:
Consistent with the full CEDS_GBD-MAPS inventory, emissions are available here in three different formats:

1. CEDS_GBD-MAPS_Snapshot_annual_country_total_emissions_by_sector_fuel_2014-2015.zip

• Zip file contains 7 .csv files that each contain total annual anthropogenic emissions of each compound from each country for 2014 and 2015, as a function of 11 anthropogenic sectors and 4 fuel categories.
• Emissions are in units of kt yr^-1 and include NO_x (as NO₂), CO, SO₂, NH₃, total NMVOCs, BC, and OC
• NOTE: Emissions include the entire Jan 2014 - Dec 2015 time period

2. CEDS_GBD-MAPS_Snapshot_gridded_emissions_by_sector_fuel_DJF_2014-2015.zip

• Zip file contains 145 netCDF files of anthropogenic global gridded emission fluxes, reported as a function of 11 anthropogenic sectors and 5 fuel categories (1 file per compound per fuel category, plus 1 file for the sum of all fuel categories)
• Monthly data are provided for Dec 2014 - Feb 2015 and have been formatted for use in the GEOS-Chem model (http://acmg.seas.harvard.edu/geos/).
• Emission fluxes are in units of kg m^-2 s^-1 and include NO_x (as NO), CO, SO₂, NH₃, 25 speciated VOCs, BC, and OC
• Example: ALD2-em-liquid-fuel-plus-natural-gas_CEDS_DJF_2014-2015.nc provides emission fluxes (Dec 2014, Jan 2015, Feb 2015) for the subVOC ALD2 that result from the combustion of liquid fuel and natural gas in each of the 11 source sectors.

3. CEDS_GBD-MAPS_Snapshot_gridded_total_anthro_emissions_by_sector_input4CMIP_DJF_2014-2015.zip

• Zip file contains 29 netCDF files (1 per compound) of anthropogenic global gridded emission monthly fluxes for Dec 2014 - Feb 2015, as a function of 11 anthropogenic sectors only (no disaggregation of fuel categories)
• netCDF files follow the CEDS CMIP6 gridded emissions format. More information available at:
  http://www.globalchange.umd.edu/ceds/ceds-cmip6-data/
• Emission fluxes are in units of kg m^-2 s^-1 and include NO_x (as NO₂), CO, SO₂, NH₃, 25 speciated VOCs, BC, and OC

*Additional data details are provided in the README.txt file*

*Version 2020_sv1.0 of this dataset was produced to accompany the following manuscript:
McDuffie, E. E., S. J. Smith, P. O'Rourke, K. Tibrewal, C. Venkataraman, E. A. Marais, B. Zheng, M. Crippa, M. Brauer, R. V. Martin, A global anthropogenic emission inventory of atmospheric pollutants from sector- and fuel- specific sources (1970- 2017): An application of the Community Emissions Data System (CEDS), Earth System Science Data, Submitted

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

This data provides a description of each project in the UVLSRPC Region that is in the New Hampshire Ten-Year Transportation Improvement Plan. The layer uses symbols to highlight bridges, culverts and airports. To view the roads data more visually on the map see this layer. This data is used for planning purposes only.

The projects include the maintenance of roads, bridges & airports, bridge & culvert replacement, and walking & biking improvements. These projects can be found in either the UVLSRPC Regional Plan or the NH DOT 2019 to 2028 Plan. They are categorized in this map as follows:

NH State Plan. Listed and Funded under the NH Transportation Improvement Plan 2019 to 2028. Regional Plan - In Progress. Listed as an Existing Project under the Regional Plan. Regional Plan - Priority. Listed as a Priority Project under the Regional Plan. Regional Plan - AN. Listed as Additional Need under the Regional Plan. These are currently unfunded projects that would be prioritized if additional funding becomes available. Regional Plan - MUPCA. These projects would likely be funded programmatically (and managed locally) through the Municipal Urban Projects - Compact Areas Program. TAC has prioritized these projects in the Regional Plan for your consideration. Regional Plan - RSR. These projects would likely be funded programmatically through the Reconstruction of Secondary Roads Program. TAC has prioritized these projects in the Regional Plan for your consideration.

Each project includes the following information: 1) community located within; 2) which plan & category the project is found in; 3) project type (e.g. bridge or culvert); 4) project description; and 5) proposed construction dates (if established).

The full NH Transportation Improvement Plan 2019 to 2028 can be found here.

The full UVLSRPC Regional Transportation Improvement Plan 2019 to 2028 can be found here.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.