100+ datasets found
  1. A

    Data from: Contaminant concentrations in Connecticut and Massachusetts mink

    • data.amerigeoss.org
    pdf
    Updated Jul 27, 2019
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    United States[old] (2019). Contaminant concentrations in Connecticut and Massachusetts mink [Dataset]. https://data.amerigeoss.org/es/dataset/632f5cf1-b616-4a8b-a07c-d4a0cbec8d74
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    pdfAvailable download formats
    Dataset updated
    Jul 27, 2019
    Dataset provided by
    United States[old]
    Area covered
    Massachusetts, Connecticut
    Description

    It appears that PCB levels in Connecticut and Massachusetts mink are high enough to adversely affect reproduction. Although levels of contaminants in Massachusetts were lower than those found in Connecticut, most of the samples from Massachusetts were from either the eastern or western part of the state, and areas that have potentially higher levels of contaminants are not represented. A more representative mink sample would have to be collected from Massachusetts in order to confirm contaminant levels. We did not find statistically significant differences in contaminant levels between watersheds within states. We attribute this to our small sample sizes and the high variability in the data. It is possible that larger sample sizes would have shown significant statistical differences between watersheds.

  2. d

    Basin characteristics and point locations of road crossings in Connecticut,...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Basin characteristics and point locations of road crossings in Connecticut, Massachusetts, and Rhode Island for highway-runoff mitigation analyses using the Stochastic Empirical Loading and Dilution Model [Dataset]. https://catalog.data.gov/dataset/basin-characteristics-and-point-locations-of-road-crossings-in-connecticut-massachusetts-a
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Rhode Island, Massachusetts, Connecticut
    Description

    This data release documents the location of intersections between roads and streams, referred to as road crossings, and associated basin characteristics to support highway-runoff mitigation analyses using the Stochastic Empirical Loading and Dilution Model (SELDM, Granato, 2013) in Connecticut, Massachusetts, and Rhode Island. The data set of road crossings was generated from the intersections of the U.S. Geological Survey (USGS) National Transportation Dataset (roads) and the StreamStats modified National Hydrography Dataset (streams) and in addition to the three-state study area, includes areas of New York, Vermont, and New Hampshire that are within drainages that cover the three states. Pertinent basin characteristics were defined for sites within CT, MA, and RI and include the following: drainage area, 10-85 slope, longest flow path, number of road crossings by road class, impervious cover, length of roads by road class, and length of streams. Coordinates, street name, and road classification associated with the road crossing point also are included. Users can delineate basins and compute these characteristics, among others, on the USGS StreamStats web application. This data release contains one shapefile in a zipped folder and two tables: RoadCrossingsShapefile.zip, BasinCharacteristics.txt, and BasinCharacteristics_Definitions.txt. The basin characteristics are included in the metadata file and as a separate table for the user’s preference.

  3. NOAA Digital Oblique Imagery Collection for the Coasts of Main/New...

    • catalog.data.gov
    • fisheries.noaa.gov
    • +1more
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). NOAA Digital Oblique Imagery Collection for the Coasts of Main/New Hampshire, Massachusetts/Rhode Island/Connecticut, and Hudson River/Long Island /NY/NJ [Dataset]. https://catalog.data.gov/dataset/noaa-digital-oblique-imagery-collection-for-the-coasts-of-main-new-hampshire-massachusetts-rhod2
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Long Island, Hudson River, Rhode Island, New Hampshire, Massachusetts, New Jersey, Connecticut, New York
    Description

    Project: NOAA Digital Orthophotography and Ancillary Oblique Imagery Collection for the Coasts of Main/New Hampshire, Massachusetts/Rhode Island/Connecticut, and Hudson River/Long Island /NY/NJ Contract No. EA133C11CQ0010 Reference No. NCNP0000-14-00967 Woolpert Order No. 74571 CONTRACTOR: Woolpert, Inc. The project represents the collection of digital oblique imagery for the coasts of Maine and New Hampshire; Massachusetts and Rhode Island; Connecticut, the Hudson River, Long Island and the NY/NJ metro area. The work was requested by the National Oceanic and Atmospheric Administration, Office of Response and Restoration division. The imagery is being acquired for use in the development of the ESI (Environmental Sensitivity Index) data in this same region. The entire project area includes approximately 11,669 square miles. Original contact information: Contact Org: National Oceanic and Atmospheric Administration (NOAA) Phone: 843-740-1200

  4. F

    Increases in Railroad Mileage for Maine, New Hampshire, Vermont,...

    • fred.stlouisfed.org
    json
    Updated Aug 16, 2012
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    (2012). Increases in Railroad Mileage for Maine, New Hampshire, Vermont, Massachusetts, Connecticut, Rhode Island, New York, New Jersey, Pennsylvania [Dataset]. https://fred.stlouisfed.org/series/A0283BUSA374NNBR
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    jsonAvailable download formats
    Dataset updated
    Aug 16, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    New Hampshire, Rhode Island, Vermont, New York, Rhode Island, Massachusetts, New Jersey, Maine, Pennsylvania, Connecticut
    Description

    Graph and download economic data for Increases in Railroad Mileage for Maine, New Hampshire, Vermont, Massachusetts, Connecticut, Rhode Island, New York, New Jersey, Pennsylvania (A0283BUSA374NNBR) from 1836 to 1911 about RI, VT, ME, NH, CT, NJ, MA, PA, NY, and USA.

  5. F

    Number of Incorporations for Maine, Massachusetts, Connecticut, New Jersey,...

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
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    (2012). Number of Incorporations for Maine, Massachusetts, Connecticut, New Jersey, Pennsylvania, Maryland, Ohio, Illinois, and Texas [Dataset]. https://fred.stlouisfed.org/series/M1035CUSM155NNBR
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    jsonAvailable download formats
    Dataset updated
    Aug 17, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Ohio, Illinois, New Jersey, Maine, Pennsylvania, Maryland, Massachusetts, Connecticut
    Description

    Graph and download economic data for Number of Incorporations for Maine, Massachusetts, Connecticut, New Jersey, Pennsylvania, Maryland, Ohio, Illinois, and Texas (M1035CUSM155NNBR) from Jan 1897 to Dec 1904 about ME, CT, MA, MD, NJ, IL, OH, PA, TX, corporate, and USA.

  6. Forecast: Iron and Steel Scrap Consumption in Connecticut, Maine,...

    • reportlinker.com
    Updated Apr 11, 2024
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    ReportLinker (2024). Forecast: Iron and Steel Scrap Consumption in Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, Vermont in the US 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/2047d135c87247a9f2ff060833dd806d0619b8f7
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    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Forecast: Iron and Steel Scrap Consumption in Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, Vermont in the US 2024 - 2028 Discover more data with ReportLinker!

  7. v

    Fish species occurrence data (HUC12) in Maine, New Hampshire, Vermont,...

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • catalog.data.gov
    Updated Aug 3, 2025
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    U.S. Geological Survey (2025). Fish species occurrence data (HUC12) in Maine, New Hampshire, Vermont, Massachusetts, Connecticut, and Rhode Island [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/fish-species-occurrence-data-huc12-in-maine-new-hampshire-vermont-massachusetts-connecticu
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    Dataset updated
    Aug 3, 2025
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Rhode Island, New Hampshire, Massachusetts, Vermont, Maine, Connecticut
    Description

    This data release includes the results of state agency led electrofishing surveys conducted in lotic habitats in six states in the Northeastern U.S.: Maine, New Hampshire, Vermont, Massachusetts, Connecticut, and Rhode Island. The following state agencies collected the electrofishing data: Massachusetts Division of Fisheries & Wildlife, Vermont Department of Fish and Wildlife, Vermont Department of Environmental Conservation, Maine Department of Inland Fisheries & Wildlife, Rhode Island Department of Environmental Management, Connecticut Department of Energy and Environmental Protection, and New Hampshire Department of Fish and Game. The survey results are consolidated to a Hydrologic Unit Code (HUC)12 scale and includes surveys from November 1949 through December 2021 with most surveys occurring between 1985 and 2021. Fifty-three species and 24,553 surveys are represented in these data.

  8. F

    Number of Corporations for Maine, Massachusetts, Connecticut, New Jersey,...

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
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    (2012). Number of Corporations for Maine, Massachusetts, Connecticut, New Jersey, Pennsylvania, Maryland, Ohio, and Texas [Dataset]. https://fred.stlouisfed.org/series/M1035BUSM155NNBR
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    jsonAvailable download formats
    Dataset updated
    Aug 17, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Texas, Massachusetts, New Jersey, Maine, Pennsylvania, Maryland, Connecticut
    Description

    Graph and download economic data for Number of Corporations for Maine, Massachusetts, Connecticut, New Jersey, Pennsylvania, Maryland, Ohio, and Texas (M1035BUSM155NNBR) from Jan 1888 to Dec 1897 about ME, CT, MA, MD, NJ, OH, PA, TX, corporate, and USA.

  9. Connecticut River at Springfield (Massachusetts)

    • erddap.sensors.ioos.us
    • erddap.sensors.axds.co
    Updated May 6, 2015
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    NOAA Water Resources Regions, National Weather Service (2015). Connecticut River at Springfield (Massachusetts) [Dataset]. http://erddap.sensors.ioos.us/erddap/info/gov_noaa_water_spgm3/index.html
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    Dataset updated
    May 6, 2015
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Weather Servicehttp://www.weather.gov/
    Authors
    NOAA Water Resources Regions, National Weather Service
    Time period covered
    May 6, 2015 - Aug 5, 2025
    Area covered
    Variables measured
    z, time, station, latitude, longitude, river_discharge, river_discharge_qc_agg, river_discharge_qc_tests, water_surface_above_station_datum, water_surface_above_station_datum_qc_agg, and 1 more
    Description

    Timeseries data from 'Connecticut River at Springfield (Massachusetts)' (gov_noaa_water_spgm3) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=water_surface_above_station_datum_qc_agg,water_surface_above_station_datum,river_discharge,z,time,river_discharge_qc_agg&time>=max(time)-3days Easternmost_Easting=-72.594722 featureType=TimeSeries geospatial_lat_max=42.096389 geospatial_lat_min=42.096389 geospatial_lat_units=degrees_north geospatial_lon_max=-72.594722 geospatial_lon_min=-72.594722 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from NOAA National Weather Service (NWS) at id=129381 infoUrl=https://sensors.ioos.us/#metadata/129381/station institution=NOAA Water Resources Regions, National Weather Service naming_authority=com.axiomdatascience Northernmost_Northing=42.096389 platform=fixed platform_name=Connecticut River at Springfield (Massachusetts) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://water.weather.gov/ahps2/hydrograph.php?gage=SPGM3,, sourceUrl=https://water.weather.gov/ahps2/hydrograph.php?gage=SPGM3 Southernmost_Northing=42.096389 standard_name_vocabulary=CF Standard Name Table v72 station_id=129381 time_coverage_end=2025-08-05T09:18:00Z time_coverage_start=2015-05-06T12:08:00Z Westernmost_Easting=-72.594722

  10. Forecast: New Iron and Steel Supply Available for Consumption in...

    • reportlinker.com
    Updated Apr 11, 2024
    + more versions
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    ReportLinker (2024). Forecast: New Iron and Steel Supply Available for Consumption in Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont in the US 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/aba2b5c6db15a1c440d446c537e1ec0920061d13
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    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Forecast: New Iron and Steel Supply Available for Consumption in Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont in the US 2024 - 2028 Discover more data with ReportLinker!

  11. d

    Model climate scenario output for the Farmington river basin, Connecticut...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Model climate scenario output for the Farmington river basin, Connecticut and Massachusetts, 2036-2065 change from 1975-2004, Representative Concentration Pathways 4.5 and 8.5 [Dataset]. https://catalog.data.gov/dataset/model-climate-scenario-output-for-the-farmington-river-basin-connecticut-and-massachusetts
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Massachusetts, Connecticut
    Description

    This data release provides a set of Hydrological Simulation Program--Fortran (HSPF) model files representing five EPA-selected future climate change scenarios for the Farmington River Basin in Massachusetts and Connecticut. Output from these models are intended for use as input to EPA Watershed Management Optimization Support Tool (WMOST) modeling. Climate scenarios, based on 2036-2065 changes from 1975-2004 for Representative Concentration Pathways (RCP) 4.5 and 8.5, model the effects of air temperature and precipitation changes (in degrees F for air temperature, in percent for precipitation) made to the input historical meteorological time series for 1975-2004. Meteorological data are from the following climate stations in Connecticut: Hartford Airport, Burlington, and Norfolk. Each set of climate scenario model files are derived from the original calibrated model files created by EPA and the Connecticut Department of Energy and Environmental Protection Bureau of Water Management to evaluate nutrient sources and loadings to Long Island Sound and assessment of impacts of Best-Management Practices (BMP), and later extended by U.S. Geological Survey (USGS) to support WMOST modeling (refer to Source Input fields in this metadata file).

  12. i

    Grant Giving Statistics for The Connecticut Western Massachusetts Chapter Of...

    • instrumentl.com
    Updated Mar 24, 2021
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    (2021). Grant Giving Statistics for The Connecticut Western Massachusetts Chapter Of The [Dataset]. https://www.instrumentl.com/990-report/the-connecticut-western-massachusetts-chapter-of-the
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    Dataset updated
    Mar 24, 2021
    Area covered
    Western Massachusetts, Massachusetts, Connecticut
    Variables measured
    Total Assets
    Description

    Financial overview and grant giving statistics of The Connecticut Western Massachusetts Chapter Of The

  13. d

    High-water mark data from Hurricane Sandy for the coastal areas of...

    • catalog.data.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). High-water mark data from Hurricane Sandy for the coastal areas of Connecticut, Rhode Island, and Massachusetts, October 29-30, 2012 [Dataset]. https://catalog.data.gov/dataset/high-water-mark-data-from-hurricane-sandy-for-the-coastal-areas-of-connecticut-rhode-is-30
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Rhode Island, Massachusetts, Connecticut
    Description

    High-water marks were collected following Hurricane Sandy, October 29-30, 2012, along the coastal areas of Connecticut, Rhode Island, and Massachusetts. Information on 371 high-water marks that were flagged following Hurricane Sandy is presented in this data release. The general information on the high-water marks presented includes site identification number, location, elevation, quality, type, and website links to the data. Of the 371 high-water marks flagged, 364 high-water marks were surveyed and 7 high-water marks were not found. The U.S. Geological Survey identified and flagged the high-water marks during October and November 2012 following Hurricane Sandy; and surveyed the marks during October and November 2012, December 2013 to June 2014, and December 2016.

  14. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
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    ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/438a634db9cc45f6961d9da247f19abe/html
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    pdfAvailable download formats
    Area covered
    Description

    no abstract provided

  15. d

    USACE CWMS - Connecticut Watershed

    • search.dataone.org
    • hydroshare.org
    Updated Apr 15, 2022
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    Mayss Saadoon (2022). USACE CWMS - Connecticut Watershed [Dataset]. https://search.dataone.org/view/sha256%3A5dcde68ed455be00ab296ace0c22f3baf61bc62f84e60f3b25f24c5245baadc0
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    Dataset updated
    Apr 15, 2022
    Dataset provided by
    Hydroshare
    Authors
    Mayss Saadoon
    Area covered
    Description

    The Corps Water Management System (CWMS) includes four interrelated models to assist with water management for the basin: - GeoHMS (Geospatial Hydrologic Modeling Extension) - ResSIM (Reservoir System Simulation) - RAS (River Analysis System) - FIA (Flood Impact Analysis)

    The Connecticut River basin is the largest watershed in New England, extending from the northernmost part of New Hampshire to Long Island Sound. The watershed, which drains in a southerly direction, includes a small area of the Province of Quebec, and parts of New Hampshire, Vermont, Massachusetts, and Connecticut. Long and narrow in shape, it has a maximum length of about 280 miles and a maximum width of approximately 60 miles. The basin is bounded principally by the Androscoggin, Merrimack, and Thames River basins on the east and by the St. Lawrence, Hudson, and Housatonic River basins on the west. Elevations range from sea level to over 5000 ft in the northern headwaters. Areas of well developed flood plains occur from Indian Stream in Pittsburgh, NH to Long Island Sound, the most extensive being in Massachusetts and Connecticut. The basin has a total drainage area of 11,250 square miles of which 114 mi2 are in Quebec, 3046 mi2 in New Hampshire, 3928 mi2 in Vermont, 2726 mi2 in Massachusetts, and 1436 mi2 in Connecticut. The Connecticut River follows a general southerly course along the approximate centerline of its watershed for about 404 miles to its mouth on Long Island Sound at Saybrook, Connecticut. In the first 29 miles below its source, the river flows entirely within the State of New Hampshire, then for a distance of about 238 miles, between New Hampshire and Vermont, the western edge of the river forming the boundary; and finally across Massachusetts for 67 miles and Connecticut for 70 miles. The lower 60-mile reach of the river is tidal, with a mean tidal range during low river stages of 3.4 feet at the mouth, and about 1.2 feet at Hartford, 52 miles above the mouth. The fall in the river is about 2200 feet with the steepest portion averaging 30 feet per mile, occurring in the first 30 miles below the outlet of Third Connecticut Lake. From Wilder Dam, VT to the head of tidewater, 8 miles above Hartford, CT, the fall average about 2 ft per mile. Wide and extensive flood plains are located at various reaches along the main stem. During major floods, these meadowlands become inundated to depths of 10 to 20 feet and act as large detention reservoirs which significantly reduce peak discharge at downstream locations. The most noteworthy are located in the following areas: the reach between West Stewartstown and Lancaster, NH; the 15-mile stretch between Woodsville, NH and Bradford, VT; in central Massachusetts between Montague City and Holyoke; and the extensive flood plains of Connecticut between Windsor Locks and Middletown. There are important hydropower dams on the Connecticut River throughout its length. In the northern areas upstream of White River Junction are the Moore, Comerford, and Wilder projects; the Bellows Falls, Vernon, and Tuners Falls dams are located along the central reaches; and the Holyoke dam is in the southern portion of the basin. The Connecticut River, in its southerly course to the ocean, is fed by numerous rivers and streams entering from the east and west. Rivers and streams on the western side of the basin are generally steeper and because the watersheds are steeper, flood runoff occurs more rapidly and peak contributions to Connecticut River flood flows have higher cfs/mi2 values than the eastern tributaries. The 15 largest tributaries, with watersheds larger than 200 mi2 and an aggregate area equal to 6517 mi2, or about 58 percent of the total basin area, include the Upper Amoonosuc River, Passumpsic River, Amoonosuc River, White River, Mascoma River, Ottauquechee River, Sugar River, Black River, West River, Ashuelot River, Millers River, Deerfield River, Chicopee River, Westfield River, and Farmington River.

  16. w

    Connecticut Aeromagnetic Map: Aeroradioactivity and Generalized Geologic...

    • data.wu.ac.at
    • cinergi.sdsc.edu
    arcgis_rest, wms, zip
    Updated Dec 4, 2017
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    (2017). Connecticut Aeromagnetic Map: Aeroradioactivity and Generalized Geologic Maps of Parts of New York, Connecticut, Rhode Island and Massachusetts [Dataset]. https://data.wu.ac.at/schema/geothermaldata_org/ZDFiNGM4ZjQtMTRjNS00YzljLWFlZmMtZGFkZGI2ZDMwMWFl
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    zip, wms, arcgis_restAvailable download formats
    Dataset updated
    Dec 4, 2017
    Area covered
    bb3f1d2882d95645d6f26c6884721e86935794a2, Rhode Island, Connecticut
    Description

    This resources is metadata for Aeroradioactivity and Generalized Geologic Maps of Parts of New York, Connecticut, Rhode Island and Massachusetts, USGS GP-359, 1:250000 scale. Airborne near surface gross gamma mapping, includes geologic discussion and explanatory text. Documents are US Geological Survey maps. The data are available in the following formats: web map service, ESRI service and a zipped folder with TIFF and TFW files of the maps.The data was provided by the Connecticut Geological Survey, Department of Energy and Environmental Protection, and made available for distribution through the National Geothermal Data System.

  17. d

    Finding Enslaved and Free(d) People in Narratives of Early American Sexual...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Block, Sharon (2023). Finding Enslaved and Free(d) People in Narratives of Early American Sexual Violence [Dataset]. http://doi.org/10.7910/DVN/9IRPB4
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Block, Sharon
    Time period covered
    Jan 1, 1700 - Jan 1, 1820
    Area covered
    United States
    Description

    This dataset was created from a collection of over nine hundred incidents of sexual violence identified in the mainland North American British colonies and early United States from 1700-1820. Gathered from legal, manuscript, and print records in twenty archives, it identifies over four hundred individuals who were enslaved, of African descent, and/or of Native American descent. This collection offers unique historical evidence about individuals who may not appear in any other extant records. Significantly, it reveals how enslaved and free(d) Black and Indigenous people both addressed and were involved in incidents of sexual violence, revealing how communities of color are far more visible in historical records than has been traditionally recognized.

  18. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
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    ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/fc4cf552dde542bd88a7048f7c79d0cd/html
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    Area covered
    Description

    no abstract provided

  19. F

    Housing Inventory: Median Days on Market Month-Over-Month in Worcester,...

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Median Days on Market Month-Over-Month in Worcester, MA-CT (CBSA) [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMARMM49340
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    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Worcester, Massachusetts
    Description

    Graph and download economic data for Housing Inventory: Median Days on Market Month-Over-Month in Worcester, MA-CT (CBSA) (MEDDAYONMARMM49340) from Jul 2017 to Jul 2025 about Worcester, CT, MA, median, and USA.

  20. Forecast: Pig Iron Consumption in Connecticut, Maine, Massachusetts, New...

    • reportlinker.com
    Updated Apr 11, 2024
    + more versions
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    ReportLinker (2024). Forecast: Pig Iron Consumption in Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, Vermont in the US 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/ee4753b1f240b365214d7426b4df1dd73ffd15de
    Explore at:
    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Forecast: Pig Iron Consumption in Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, Vermont in the US 2024 - 2028 Discover more data with ReportLinker!

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United States[old] (2019). Contaminant concentrations in Connecticut and Massachusetts mink [Dataset]. https://data.amerigeoss.org/es/dataset/632f5cf1-b616-4a8b-a07c-d4a0cbec8d74

Data from: Contaminant concentrations in Connecticut and Massachusetts mink

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Dataset updated
Jul 27, 2019
Dataset provided by
United States[old]
Area covered
Massachusetts, Connecticut
Description

It appears that PCB levels in Connecticut and Massachusetts mink are high enough to adversely affect reproduction. Although levels of contaminants in Massachusetts were lower than those found in Connecticut, most of the samples from Massachusetts were from either the eastern or western part of the state, and areas that have potentially higher levels of contaminants are not represented. A more representative mink sample would have to be collected from Massachusetts in order to confirm contaminant levels. We did not find statistically significant differences in contaminant levels between watersheds within states. We attribute this to our small sample sizes and the high variability in the data. It is possible that larger sample sizes would have shown significant statistical differences between watersheds.

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