This data layer was produced by the Cape Cod Commission's geographic information systems (GIS) department for the purpose of identifying criteria relevant to siting wind energy facilities in the region. The CCC, in partnership with the Cape Light Compact, applied for and received funding from the Massachusetts Technology Collaborative's Community Planning and Development Grant Program to integrate certain forms of distributed power generation and renewable energy into the local planning process. To this end, funds were secured under the grant CP-04-05, for the creation of a map that would endeavor to highlight areas with an increased potential for wind energy development within Barnstable County. The map would also play a role in identifying areas that would need to be considered when siting wind energy developments. 2004.
PIE LTER, Year 2013-2018, remote sensing (Landsat8 OLI sensors and Sentinel-2A/2B) derived sediment concentration maps, transect averaged sediment concentation, water level, dh/dt, wind direction and speed, river discharges for Plum Island Sound estuary, Massachusetts.
This storymap visualizes data from Piping Plovers that were tagged at nesting areas in southern New England and tracked during fall migration using the Motus network (www.motus.org). The storymap is available at the following link: https://storymaps.arcgis.com/stories/5bab01fc5fa445f58ee54c062b4d2f3dExplore the map below to see how Piping Plovers take flight and make their away across the Atlantic--sometimes flying as fast as 80 km an hour. For migrating plovers, wind and weather conditions play an important role in their flight departures; and stopover sites in the Mid-Atlantic provide critical habitat for rest and refueling. Here in this map, you can look at how nano-tagged Piping Plovers from Rhode Island and Massachusetts timed their migration flights with wind conditions.The storymap is available at the following link: https://storymaps.arcgis.com/stories/5bab01fc5fa445f58ee54c062b4d2f3dStory Map Created by Alex Cook, USFWS Directorate Fellowship Program 2020 Cohort
The oceanographic time series data collected by U.S. Geological Survey scientists and collaborators are served in an online database at http://stellwagen.er.usgs.gov/index.html. These data were collected as part of research experiments investigating circulation and sediment transport in the coastal ocean. The experiments (projects, research programs) are typically one month to several years long and have been carried out since 1975. New experiments will be conducted, and the data from them will be added to the collection. As of 2016, all but one of the experiments were conducted in waters abutting the U.S. coast; the exception was conducted in the Adriatic Sea. Measurements acquired vary by site and experiment; they usually include current velocity, wave statistics, water temperature, salinity, pressure, turbidity, and light transmission from one or more depths over a time period. The measurements are concentrated near the sea floor but may also include data from the water column. The user interface provides an interactive map, a tabular summary of the experiments, and a separate page for each experiment. Each experiment page has documentation and maps that provide details of what data were collected at each site. Links to related publications with additional information about the research are also provided. The data are stored in Network Common Data Format (netCDF) files using the Equatorial Pacific Information Collection (EPIC) conventions defined by the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory. NetCDF is a general, self-documenting, machine-independent, open source data format created and supported by the University Corporation for Atmospheric Research (UCAR). EPIC is an early set of standards designed to allow researchers from different organizations to share oceanographic data. The files may be downloaded or accessed online using the Open-source Project for a Network Data Access Protocol (OPeNDAP). The OPeNDAP framework allows users to access data from anywhere on the Internet using a variety of Web services including Thematic Realtime Environmental Distributed Data Services (THREDDS). A subset of the data compliant with the Climate and Forecast convention (CF, currently version 1.6) is also available.
description: (Link to Metadata) Wind power predictions at 50m are generated by a numerical model that simulates weather conditions over a 15-year period, taking into account geophysical inputs such as elevation, land use, and vegetation. The information was produced by TrueWind Solutions using their Mesomap system. This work was commissioned by the Massachusetts Technology Collaborative, in conjunction with the Connecticut Clean Energy Fund and Northeast Utilities, and the results have been validated by NREL (National Renewable Energy Laboratory).; abstract: (Link to Metadata) Wind power predictions at 50m are generated by a numerical model that simulates weather conditions over a 15-year period, taking into account geophysical inputs such as elevation, land use, and vegetation. The information was produced by TrueWind Solutions using their Mesomap system. This work was commissioned by the Massachusetts Technology Collaborative, in conjunction with the Connecticut Clean Energy Fund and Northeast Utilities, and the results have been validated by NREL (National Renewable Energy Laboratory).
Not seeing a result you expected?
Learn how you can add new datasets to our index.
This data layer was produced by the Cape Cod Commission's geographic information systems (GIS) department for the purpose of identifying criteria relevant to siting wind energy facilities in the region. The CCC, in partnership with the Cape Light Compact, applied for and received funding from the Massachusetts Technology Collaborative's Community Planning and Development Grant Program to integrate certain forms of distributed power generation and renewable energy into the local planning process. To this end, funds were secured under the grant CP-04-05, for the creation of a map that would endeavor to highlight areas with an increased potential for wind energy development within Barnstable County. The map would also play a role in identifying areas that would need to be considered when siting wind energy developments. 2004.