10,000+ results returned
-
Title: Bay Shore Features Structures and Barriers - Breakwater Lines, San Mateo County Sea Level Rise Vulnerability Assessment Project Area, 2016
- Line data
- 2019
- Not owned by MIT (Owned by Stanford)
- San Francisco Estuary Institute
- County of San Mateo Information Services Department
- United States. National Oceanic and Atmospheric Administration
Summary: Breakwaters represented as lines in San Francisco Bay near San Mateo County. Sources: San Francisco Estuary Institute (2016), National Oceanic and Atmospheric Administration (2013). This layer is part of the San Mateo County Sea Level Rise Vulnerability Assessment Project. These data are intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. County of San Mateo Information Services Department, National Oceanic and Atmospheric Administration, and San Francisco Estuary Institute. (2019). Bay Shore Features Structures and Barriers - Breakwater Lines, San Mateo County Sea Level Rise Vulnerability Assessment Project Area, 2016. County of San Mateo Information Services Department. Available at: http://purl.stanford.edu/jg026cv0272. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: Bay Shore Features Armoring Structures Walls, San Mateo County Sea Level Rise Vulnerability Assessment Project Area, 2016
- Line data
- 2019
- Not owned by MIT (Owned by Stanford)
- San Francisco Estuary Institute
- County of San Mateo Information Services Department
- United States. National Oceanic and Atmospheric Administration
Summary: Shows location of armoring wall structures in San Francisco Bay near San Mateo County. Sources: San Francisco Estuary Institute (2016), National Oceanic and Atmospheric Administration (2013). This layer is part of the San Mateo County Sea Level Rise Vulnerability Assessment Project. These data are intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. County of San Mateo Information Services Department, National Oceanic and Atmospheric Administration and San Francisco Estuary Institute, >2019). Bay Shore Features Armoring Structures Walls, San Mateo County Sea Level Rise Vulnerability Assessment Project Area, 2016. County of San Mateo Information Services Department. Available at: http://purl.stanford.edu/jg655sr5390. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: Bay Shore Features Armoring Structures Revetment, San Mateo County Sea Level Rise Vulnerability Assessment Project Area, 2016
- Line data
- 2019
- Not owned by MIT (Owned by Stanford)
- San Francisco Estuary Institute
- County of San Mateo Information Services Department
- United States. National Oceanic and Atmospheric Administration
Summary: Shows revetment locations in San Francisco Bay near San Mateo County. Revetement is a facing, as of stone or concrete, to sustain an embankment, in this case, armoring structures and levee walls that mitigate the effects of sea level rise. Sources: San Francisco Estuary Institute (2016), National Oceanic and Atmospheric Administration (2013). This layer is part of the San Mateo County Sea Level Rise Vulnerability Assessment Project. These data are intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. County of San Mateo Information Services Department, National Oceanic and Atmospheric Administration, and San Francisco Estuary Institute. (2019). Bay Shore Features Armoring Structures Revetment, San Mateo County Sea Level Rise Vulnerability Assessment Project Area, 2016. County of San Mateo Information Services Department. Available at: http://purl.stanford.edu/qd841cy2588. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: BOEM Lease Areas, 2013
- Polygon data
- 2016
- Not owned by MIT (Owned by Stanford)
Summary: This polygon shapefile represents Board of Ocean Energy Management (BOEM) lease areas in the Northeastern United States. The Cape Wind Energy Project was proposed by Cape Wind Associates, LLC, in November 2001. Prior to BOEM’s involvement, the United States Army Corps of Engineers assumed the lead federal regulatory role under the River and Harbors Act, and issued a draft Environmental Impact Statement (EIS) in November 2004. Following the Energy Policy Act of 2005, the former Minerals Management Service assumed lead federal responsibility for offshore wind power projects. On September 14, 2005, Cape Wind applied for a commercial lease to construct and operate an offshore wind facility located in Federal waters offshore Cape Cod, Massachusetts, on Horseshoe Shoal in Nantucket Sound. On April 28, 2010, Department of the Interior Secretary Salazar announced the availability of the Record of Decision (ROD) for the Cape Wind Project. The ROD documents the decision to select the Preferred Alternative at Horseshoe Shoal in Nantucket Sound, as described in the final Environmental Impact Statement.On October 6, 2010, Cape Wind was issued the nation’s first commercial lease to construct and operate an offshore wind power facility for the Massachusetts and the Cape Cod region. The lease area is comprised of approximately 46 square miles in Nantucket Sound offshore Massachusetts, which accounts for both the project area and a buffer zone. On July 31, 2013, Interior Secretary Sally Jewel announced the nations first-ever competitive lease sale for renewable energy in federal waters. The provisional winner of the lease sale, which auctioned two leases for a Wind Energy Area of 164,750 acres offshore Rhode Island and Massachusetts for wind energy development, is Deepwater Wind New England, LLC.LeasesNorth Lease Area - OCS-A0486 - approximately 97,500 acres. Lease Area - OCS-A0487 - approximately 67,250. Salazar announced on October 23, 2012 that BOEM has reached agreement on a commercial wind energy lease with Bluewater Wind Delaware, LLC for an area of the OCS offshore Delaware. The Delaware Notice of Determination of No Competitive Interest (DNCI) was published in the Federal Registeron April 12, 2011 under Docket ID: BOEM-2011-0008. The Delaware Notice of Proposed Lease Area and Request for Competitive Interest (RFCI) was published in the Federal Registeron January 26, 2011 under Docket ID: BOEMRE-2010-0075. To support coastal and ocean planning and other activities pursuant to the Coastal Zone Management Act, Energy Policy Act, Magnuson-Stevens Fishery Conservation and Management Act, National Environmental Policy Act, Rivers and Harbors Act and the Submerged Lands Act. U.S. National Oceanic and Atmospheric Administration. (2016). BOEM Lease Areas, 2013. NOAA. Available at: http://purl.stanford.edu/cj961mb8761. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: Lateral State Boundaries, Northeast United States, 2007
- Line data
- 2016
- Not owned by MIT (Owned by Stanford)
Summary: This line shapefile represents lateral state boundaries in the Northeastern United States. To support coastal and ocean planning and other activities pursuant to the Coastal Zone Management Act, Energy Policy Act, Magnuson-Stevens Fishery Conservation and Management Act, National Environmental Policy Act, Rivers and Harbors Act and the Submerged Lands Act. U.S. Department of Commerce, U.S. National Ocean Service, and U.S. National Oceanic and Atmospheric Administration. (2011). Lateral State Boundaries, Northeast United States, 2007. U.S. National Ocean Service. Available at: http://purl.stanford.edu/mj138dj4140. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: North Atlantic Tanker AIS Vessel Density 2012
- Raster data
- 2014
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents density of tanker vessel traffic in 2012 from vessels with Automatic Identification System (AIS) transponders in 100 meter grid cells. The dataset is best interpreted using a high to low density scale and does not represent actual vessel counts. in the Northeastern United States. AISs are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. To support efforts for regional coastal and ocean planning by the Northeast Regional Ocean Council (NROC). U.S. Department of Commerce, U.S. National Ocean Service, and U.S. National Oceanic and Atmospheric Administration. (2011). North Atlantic Tanker AIS Vessel Density 2012. U.S. National Ocean Service. Available at: http://purl.stanford.edu/wx471ws2646. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: North Atlantic Tug and Tow AIS Vessel Density 2012
- Raster data
- 2014
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents density of Tug and tow vessel traffic in 2012 from vessels with Automatic Identification System (AIS) transponders in 100 meter grid cells. The dataset is best interpreted using a high to low density scale and does not represent actual vessel counts. in the Northeastern United States. AISs are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. To support efforts for regional coastal and ocean planning by the Northeast Regional Ocean Council (NROC). U.S. Department of Commerce, U.S. National Ocean Service, and U.S. National Oceanic and Atmospheric Administration. (2011). North Atlantic Tug and Tow AIS Vessel Density 2012. U.S. National Ocean Service. Available at: http://purl.stanford.edu/qs831pz2063. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: North Atlantic Total AIS Vessel Density 2012
- Raster data
- 2014
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents density of vessel traffic in 2012 from vessels with Automatic Identification System (AIS) transponders in 100 meter grid cells. The dataset is best interpreted using a high to low density scale and does not represent actual vessel counts. in the Northeastern United States. AISs are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. To support efforts for regional coastal and ocean planning by the Northeast Regional Ocean Council (NROC). U.S. Department of Commerce, U.S. National Ocean Service, and U.S. National Oceanic and Atmospheric Administration. (2011). North Atlantic Total AIS Vessel Density 2012. U.S. National Ocean Service. Available at: http://purl.stanford.edu/sg703bd6379. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: North Atlantic Passenger AIS Vessel Density 2012
- Raster data
- 2014
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents density of passenger vessel traffic in 2012 from vessels with Automatic Identification System (AIS) transponders in 100 meter grid cells. The dataset is best interpreted using a high to low density scale and does not represent actual vessel counts. in the Northeastern United States. AISs are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. To support efforts for regional coastal and ocean planning by the Northeast Regional Ocean Council (NROC). U.S. Department of Commerce, U.S. National Ocean Service, and U.S. National Oceanic and Atmospheric Administration. (2011). North Atlantic Passenger AIS Vessel Density 2012. U.S. National Ocean Service. Available at: http://purl.stanford.edu/pb889jn7902. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: Block Island Transmission Cables, Northeast United States, 2014
- Line data
- 2014
- Not owned by MIT (Owned by Stanford)
Summary: This line shapefile represents the location of the submarine cables for the Block Island Wind Farm (BIWF) and Block Island Transmission System (BITS). The BIWF will be a 30-megawatt offshore wind farm consisting of 5, 6-MW wind turbine generators (WTGs) located approximately three miles southeast of Block Island, an Inter Array submarine cable interconnecting the WTGs, and an Export cable connecting the northernmost WTG with Block Island. The BITS will be a submarine cable that connects Block Island with the Rhode Island mainland and which will deliver power to and from the mainland. This dataset represents an update to the proposed cable locations and includes the Inter Array, Export, and Transmission System cables. In 2013, the developer Deepwater Wind received approval for the transmission line to make landfall at Scarborough Beach and plans to begin construction of the transmission line as early as 2014. This product was created from two GIS datasets, one which contained the proposed cable locations and one which contained an update for the approved final location. The proposed dataset contained two alternate routes from Block Island to the mainland as well as the Export and Inter Array cable lines from Block Island to the wind farm. The finalized cable dataset contained only the updated transmission line from Block Island to the mainland. These two datasets were combined to create a single product. To support coastal and ocean planning. U.S. National Oceanic and Atmospheric Administration. (2014). Block Island Transmission Cables, Northeast United States, 2014. Northeast Region Ocean Council. Available at: http://purl.stanford.edu/fz937yc4084. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: New England Electrical Transmission Substations, 2013-2022
- Point data
- 2013
- Not owned by MIT (Owned by Stanford)
Summary: This point shapefile represents existing electrical transmission substations and those planned through 2022 for the New England coastal region. A substation is a part of an electrical generation, transmission, and distribution system. Substations transform voltage from high to low, or the reverse, or perform any of several other important functions. Between the generating station and consumer, electric power may flow through several substations at different voltage levels. This data depicts substations (facilities that switch, change, and/or regulate electric voltage) existing in the New England area (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island and Vermont). These substations are all connected using segments of the New England Transmission Lines layer. Transmission lines (structures that form a path for directing the transmission of electric power), when interconnected with each other, become transmission networks, typically referred to as "power grids". To support coastal and ocean planning and other activities pursuant to the Energy Policy Act, Coastal Zone Management Act, Magnuson-Stevens Fishery Conservation and Management Act, National Environmental Policy Act, Rivers and Harbors Act and the Submerged Lands Act. U.S. National Oceanic and Atmospheric Administration. (2013). New England Electrical Transmission Substations, 2013-2022. NOAA. Available at: http://purl.stanford.edu/bh760gm4954. These data are intended for coastal and ocean use planning. Not for navigation. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: North Atlantic Tanker AIS Vessel Density 2011
- Raster data
- 2013
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents density of tanker vessel traffic in 2011 from vessels with Automatic Identification System (AIS) transponders in 100 meter grid cells. The dataset is best interpreted using a high to low density scale and does not represent actual vessel counts. in the Northeastern United States. AISs are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. To support efforts for regional coastal and ocean planning by the Northeast Regional Ocean Council (NROC). U.S. Department of Commerce, U.S. National Ocean Service, and U.S. National Oceanic and Atmospheric Administration. (2011). North Atlantic Tanker AIS Vessel Density 2011. U.S. National Ocean Service. Available at: http://purl.stanford.edu/qd395mf0032. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: New England Electrical Transmission Lines, 2013-2022
- Line data
- 2013
- Not owned by MIT (Owned by Stanford)
Summary: This line shapefile represents existing and planned electric transmission lines through 2022 in the New England coastal region (United States). A transmission line is a structure that forms a path for directing the transmission of electric power. When interconnected with each other, transmission lines become transmission networks typically referred to as "power grids". This data depicts transmission lines existing in the New England area (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island and Vermont). These lines are all connected to substations (facilities that switch, change, and/or regulate electric voltage) using points of the New England Substations layer. Substations transform voltage from high to low, or the reverse, or perform any of several other important functions. Between the generating station and consumer, electric power may flow through several substations at different voltage levels. To support coastal and ocean planning and other activities pursuant to the Coastal Zone Management Act, Energy Policy Act, Magnuson-Stevens Fishery Conservation and Management Act, National Environmental Policy Act, Rivers and Harbors Act and the Submerged Lands Act. U.S. National Oceanic and Atmospheric Administration. (2013). New England Electrical Transmission Lines, 2013-2022. NOAA. Available at: http://purl.stanford.edu/kk901rf6252. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: Boston, Massachusetts Region, Digital Elevation Model with Bathymetry
- Raster data
- 2009
- Not owned by MIT (Owned by Harvard)
- MassGIS (Office : Mass.)
- United States. National Oceanic and Atmospheric Administration
- Harvard University. Graduate School of Design.
Summary: This raster layer represents surface elevation and bathymetry data for the Boston Region, Massachusetts. It was created by merging portions of MassGIS Digital Elevation Model 1:5,000 (2005) data with NOAA Estuarine Bathymetric Digital Elevation Models (30 m.) (1998). DEM data was derived from the digital terrain models that were produced as part of the MassGIS 1:5,000 Black and White Digital Orthophoto imagery project. Cellsize is 5 meters by 5 meters. Each cell has a floating point value, in meters, which represents its elevation above or below sea level.
-
Title: 10 Meter Contours: Russian River Basin, California
- Line data
- 2002
- Not owned by MIT (Owned by Stanford)
Summary: This line shapefile contains contours that were derived from a mosiac of 10 meter digital elevation models for the extent of the Russian River basin, located in Sonoma and Mendocino Counties, California. This layer can be used for watershed analysis and planning in the Russian River region of California. Circuit Rider Productions and National Oceanic and Atmospheric Administration (2002) 10 Meter Contours: Russian River Basin, California. Circuit Rider Productions. The 7.5-minute digital elevation model (DEM) data are digital representations of cartographic information in a raster form. The DEMs consist of an array of elevations for ground positions at regularly spaced intervals. The data are produced in 7.5- by 7.5-minute blocks from either digitized cartographic map contour overlays of a scanned National Aerial Photography Program (NAPP) photographs. The DEM data are stored as profiles with a 10- or 30-meter square grid spacing along and between each profile. Approximate file sizes are 9.9 megabytes for a 10-meter resolution and 1.1 megabytes for a 30-meter horizontal resolution. Data profiles for this product do not always have the same number of elevations because of the variable angle between true north and grid north in the Universal Transverse Mercator (UTM) projection coordinate system. The DEM data for 7.5-minute units correspond to the USGS 7.5-minute topographic quadrangle map series for all of the United States and its territories except Alaska. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: Russian River watershed GIS
- Not specified
- 2000
- Not owned by MIT (Owned by Stanford)
Summary: "The Russian River Watershed GIS project is intended to compile a set of standardized, spatial data in support of recovery planning for three threatened salmonid species in the Russian River basin - steelhead trout, chinook and coho salmon."--publisher's website. a joint project of NOAA Fisheries & Circuit Rider Productions, Inc. Title from disc surface. System requirements: ESRI ArcView or ArcExplorer (included); web browser.
-
Title: Russian River watershed GIS
- Not specified
- 2000
- Not owned by MIT (Owned by Stanford)
Summary: "The Russian River Watershed GIS project is intended to compile a set of standardized, spatial data in support of recovery planning for three threatened salmonid species in the Russian River basin - steelhead trout, chinook and coho salmon."--publisher's website. a joint project of NOAA Fisheries & Circuit Rider Productions, Inc. Title from disc surface. System requirements: ESRI ArcView or ArcExplorer (included); web browser.
-
Title: Land Cover Change, Wisconsin 2010-2016
- Raster data
- 2016
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats, on a one-to-five year repeat cycle. The timeframe for this metadata is reported as 2010-2016 Era, but the actual dates of the Landsat imagery used to create the land cover may have been acquired a few years before or after each era. These maps are developed utilizing Landsat Thematic Mapper imagery, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions. NOAA C-CAP is a contributing member to the Multi-Resolution Land Characteristics consortium and C-CAP products are included as the coastal expression of land cover within the National Land Cover Database.
-
Title: Coastal Land Cover, Wisconsin 2016
- Raster data
- 2016
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats, on a one-to-five year repeat cycle. The timeframe for this metadata is reported as 2016-Era, but the actual dates of the Landsat imagery used to create the land cover may have been acquired a few years before or after each era. These maps are developed utilizing Landsat Thematic Mapper imagery, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions. NOAA C-CAP is a contributing member to the Multi-Resolution Land Characteristics consortium and C-CAP products are included as the coastal expression of land cover within the National Land Cover Database.
-
Title: Land Cover Change, Wisconsin 2006-2016
- Raster data
- 2016
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats, on a one-to-five year repeat cycle. The timeframe for this metadata is reported as 2006-2016 Era, but the actual dates of the Landsat imagery used to create the land cover may have been acquired a few years before or after each era. These maps are developed utilizing Landsat Thematic Mapper imagery, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions. NOAA C-CAP is a contributing member to the Multi-Resolution Land Characteristics consortium and C-CAP products are included as the coastal expression of land cover within the National Land Cover Database.