5 datasets found
  1. Cape Cod Wind Speeds

    • gis.data.mass.gov
    • hub.arcgis.com
    • +1more
    Updated Jul 18, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cape Cod Commission (2018). Cape Cod Wind Speeds [Dataset]. https://gis.data.mass.gov/datasets/CCCommission::cape-cod-wind-speeds/about
    Explore at:
    Dataset updated
    Jul 18, 2018
    Dataset authored and provided by
    Cape Cod Commission
    Area covered
    Description

    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.

  2. e

    PIE LTER, Year 2013-2018, remote sensing derived sediment concentration...

    • portal.edirepository.org
    csv, xls, zip
    Updated 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sergio Fagherazzi; Cedric Fichot (2019). PIE LTER, Year 2013-2018, remote sensing derived sediment concentration maps, movies, transect averaged sediment concentation, water level, dh/dt, wind direction and speed, river discharges at Plum Island Sound, Massachusetts. [Dataset]. http://doi.org/10.6073/pasta/09778f13d030c67b8c04ad043fde6ce7
    Explore at:
    xls(113664), csv(3442), zip(17830754), zip(11800847)Available download formats
    Dataset updated
    2019
    Dataset provided by
    EDI
    Authors
    Sergio Fagherazzi; Cedric Fichot
    Time period covered
    Apr 4, 2017 - Jul 19, 2018
    Area covered
    Variables measured
    SSC, Date, dh/dt, Sensors, WindSpeed, WaterLevel, SceneNumber, WindDirection, SensorImageName, Parker_discharge, and 1 more
    Description

    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.

  3. 2017 Wind Speed and Direction

    • gis-fws.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jul 22, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Fish & Wildlife Service (2020). 2017 Wind Speed and Direction [Dataset]. https://gis-fws.opendata.arcgis.com/datasets/fws::2017-wind-speed-and-direction-
    Explore at:
    Dataset updated
    Jul 22, 2020
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    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

  4. d

    U.S. Geological Survey Oceanographic Time Series Data Collection

    • search.dataone.org
    • data.usgs.gov
    • +3more
    Updated Feb 22, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ellyn T. Montgomery; U.S. Geological Survey (USGS) / Woods Hole Coastal and Marine Science Center (WHCMSC) sediment transport group investigators (2017). U.S. Geological Survey Oceanographic Time Series Data Collection [Dataset]. https://search.dataone.org/view/0289e858-f4c4-42b3-a21b-305cf3b89308
    Explore at:
    Dataset updated
    Feb 22, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Ellyn T. Montgomery; U.S. Geological Survey (USGS) / Woods Hole Coastal and Marine Science Center (WHCMSC) sediment transport group investigators
    Time period covered
    Jan 1, 1975
    Area covered
    Description

    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.

  5. d

    VT Predicted Mean Wind Power - 50 meter height.

    • datadiscoverystudio.org
    zip
    Updated Jun 6, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). VT Predicted Mean Wind Power - 50 meter height. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/8671cef8b2e24ef7ad3c56c7d4110230/html
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 6, 2018
    Description

    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).

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Cape Cod Commission (2018). Cape Cod Wind Speeds [Dataset]. https://gis.data.mass.gov/datasets/CCCommission::cape-cod-wind-speeds/about
Organization logo

Cape Cod Wind Speeds

Explore at:
Dataset updated
Jul 18, 2018
Dataset authored and provided by
Cape Cod Commission
Area covered
Description

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.

Search
Clear search
Close search
Google apps
Main menu