21 datasets found
  1. Boston Harbor Islands National Recreation Area Tract and Boundary Data

    • catalog.data.gov
    Updated Jun 4, 2024
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    National Park Service (2024). Boston Harbor Islands National Recreation Area Tract and Boundary Data [Dataset]. https://catalog.data.gov/dataset/boston-harbor-islands-national-recreation-area-tract-and-boundary-data
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Harbor Islands- Long Island, Boston
    Description

    These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Bounds of the tracts and islands are photo interpreted from 1996 ortho photo mosaics created by the University of Rhode Island for the park. Tracts and islands are consistent with the legislated boundaries defined by PL 104-333 which also references map number BOHA 80,002. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

  2. Imagery data for the Vegetation Mapping Inventory Project of Boston Harbor...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 5, 2024
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    National Park Service (2024). Imagery data for the Vegetation Mapping Inventory Project of Boston Harbor Islands National Recreation Area [Dataset]. https://catalog.data.gov/dataset/imagery-data-for-the-vegetation-mapping-inventory-project-of-boston-harbor-islands-nationa
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Harbor Islands- Long Island, Boston
    Description

    This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. High-quality existing photography housed by the Commonwealth of Massachusetts Office of Geographic and Environmental Information (MassGIS) was used as the base for the BOHA vegetation map. A true color orthophotomosaic was developed from a set of digital 1:5,000 scale medium resolution true color aerial images that are considered the new "basemap" for the Commonwealth of Massachusetts by MassGIS and the Executive Office of Environmental Affairs (EOEA) until 2005 DOQs became available in 2006 (MassGIS 2007). The photography for the entire commonwealth was captured in April 2005 when deciduous trees were mostly bare and the ground was generally free of snow. The image type is 4-band (RGBN) natural color (Red, Green, Blue) and Near infrared in 8 bits (values ranging 0-255) per band format.

  3. d

    Foreign-born Population in Boston Area Communities, 1870–2010

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Johnson, Marilynn S. (2023). Foreign-born Population in Boston Area Communities, 1870–2010 [Dataset]. http://doi.org/10.7910/DVN/IC42Z8
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Johnson, Marilynn S.
    Time period covered
    Jan 1, 1870 - Jan 1, 2010
    Description

    This dataset underlies a choropleth map of Boston area communities in which areas are shaded according to the percentage of the population that was foreign-born during each decade. The data was drawn from the US Census of Population, as well as the American Community Survey.

  4. M

    Boston Metro Area Population 1950-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
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    MACROTRENDS (2025). Boston Metro Area Population 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/cities/22939/boston/population
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    csvAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Dec 31, 1950 - Mar 26, 2025
    Area covered
    Boston Metropolitan Area, United States
    Description

    Chart and table of population level and growth rate for the Boston metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

  5. d

    Database for the geologic map of the South Boston 30' x 60' Quadrangle,...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Database for the geologic map of the South Boston 30' x 60' Quadrangle, Virginia and North Carolina [Dataset]. https://catalog.data.gov/dataset/database-for-the-geologic-map-of-the-south-boston-30-x-60-quadrangle-virginia-and-north-ca
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    South Boston, Virginia, North Carolina
    Description

    The 1:100,000-scale geologic map of the South Boston 30' x 60' quadrangle, Virginia and North Carolina, provides geologic information for the Piedmont along the I-85 and U.S. Route 58 corridors and in the Roanoke River watershed, which includes the John H. Kerr Reservoir and Lake Gaston. The Raleigh terrane (located on the eastern side of the map) contains Neoproterozoic to early Paleozoic(?) polydeformed, amphibolite-facies gneisses and schists. The Carolina slate belt of the Carolina terrane (located in the central part of the map) contains Neoproterozoic metavolcanic and metasedimentary rocks at greenschist facies. Although locally complicated, the slate-belt structure mapped across the South Boston map area is generally a broad, complex anticlinorium of the Hyco Formation (here called the Chase City anticlinorium) and is flanked to the west and east by synclinoria, which are cored by the overlying Aaron and Virgilina Formations. The western flank of the Carolina terrane (located in the western-central part of the map) contains similar rocks at higher metamorphic grade. This terrane includes epidote-amphibolite-facies to amphibolite-facies gneisses of the Neoproterozoic Country Line complex, which extends north-northeastward across the map. The Milton terrane (located on the western side of the map) contains Ordovician amphibolite-facies metavolcanic and metasedimentary gneisses of the Cunningham complex. Crosscutting relations and fabrics in mafic to felsic plutonic rocks constrain the timing of Neoproterozoic to late Paleozoic deformations across the Piedmont. In the eastern part of the map, a 5- to 9-kilometer-wide band of tectonic elements that contains two late Paleozoic mylonite zones (Nutbush Creek and Lake Gordon) and syntectonic granite (Buggs Island pluton) separates the Raleigh and Carolina terranes. Amphibolite-facies, infrastructural metaigneous and metasedimentary rocks east of the Lake Gordon mylonite zone are generally assigned to the Raleigh terrane. In the western part of the map area, a 5- to 8-kilometer-wide band of late Paleozoic tectonic elements includes the Hyco and Clover shear zones, syntectonic granitic sheets, and amphibolite-facies gneisses along the western margin of the Carolina terrane at its boundary with the Milton terrane. This band of tectonic elements is also the locus for early Mesozoic extensional faults associated with the early Mesozoic Scottsburg, Randolph, and Roanoke Creek rift basins. The map shows fluvial terrace deposits of sand and gravel on hills and slopes near the Roanoke and Dan Rivers. The terrace deposits that are highest in altitude are the oldest. Saprolite regolith is spatially associated with geologic source units and is not shown separately on the map. Mineral resources in the area include gneiss and granite quarried for crushed stone, tungsten-bearing vein deposits of the Hamme district, and copper and gold deposits of the Virgilina district. Surface-water resources are abundant and include rivers, tributaries, the John H. Kerr Reservoir, and Lake Gaston. Groundwater flow is concentrated in saprolite regolith, along fractures in the crystalline bedrock, and along fractures and bedding-plane partings in the Mesozoic rift basins.

  6. a

    Core Service Area

    • hub.arcgis.com
    • gis.data.mass.gov
    • +1more
    Updated Jan 13, 2020
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    Massachusetts geoDOT (2020). Core Service Area [Dataset]. https://hub.arcgis.com/datasets/2d7d34175e554ddc9f33c7f0ad6d6872
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    Dataset updated
    Jan 13, 2020
    Dataset authored and provided by
    Massachusetts geoDOT
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    This file contains the 65 cities and towns in Massachusetts for which MBTA bus or rapid transit service is provided. This data is based off of the 2010 census. The legislative intent for some boundaries could not be mapped. Boundaries where that is true are identified in the attribute information. Name Description Data Type Example town_name Full name for the MA town or city identification. String Boston town_id MassGIS Town-ID Code (alphabetical, 1-351) Numeric 34 sum_acres Area covered by the town or city in acres. Double 31304.22 sum_square Area covered by the town or city in square miles. Double 48.91 Use constraints: This data set, like all other cartographic products may contain inherent aberrations in geography or thematical errors. The boundaries included in this data set were developed using accepted GIS methodology. Cartographic products can never truly represent real-world conditions due to several factors. These factors can include, but are not limited to: human error upon digitizing, computational tolerance of the computer, or the distortion of map symbology. Because of these factors MassGIS cannot be held legally responsible for personal or property damages resulting from any type of use of the data set. These boundaries are suitable for map display and planning purposes. They cannot be used as a substitute for the work of a professional land surveyor.MassDOT/MBTA shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data.

  7. d

    Sea floor maps showing topography, sun-illuminated topographic imagery, and...

    • datadiscoverystudio.org
    • search.dataone.org
    • +3more
    e00, tif
    Updated May 12, 2018
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    Sea floor maps showing topography, sun-illuminated topographic imagery, and backscatter intensity of the Stellwagen Bank National Marine Sanctuary Region off Boston, Massachusetts. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/57cf9a8fea264d2085ba3828860c2d20/html
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    e00, tifAvailable download formats
    Dataset updated
    May 12, 2018
    Area covered
    Gerry E. Studds/Stellwagen Bank National Marine Sanctuary
    Description

    description: This data set contains the sea floor topographic contours, sun-illuminated topographic imagery, and backscatter intensity generated from a multibeam sonar survey of the Stellwagen Bank National Marine Sanctuary region off Boston, Massachusetts, an area of approximately 1100 square nautical miles. The Stellwagen Bank NMS Mapping Project is designed to provide detailed maps of the Stellwagen Bank region's environments and habitats and the first complete multibeam topographic and sea floor characterization maps of a significant region of the shallow EEZ. Data were collected on four cruises over a two year period from the fall of 1994 to the fall of 1996. The surveys were conducted aboard the Candian Hydrographic Service vessel Frederick G. Creed, a SWATH (Small Waterplane Twin Hull) ship that surveys at speeds of 16 knots. The multibeam data were collected utilizing a Simrad Subsea EM 1000 Multibeam Echo Sounder (95 kHz) that is permanently installed in the hull of the Creed.; abstract: This data set contains the sea floor topographic contours, sun-illuminated topographic imagery, and backscatter intensity generated from a multibeam sonar survey of the Stellwagen Bank National Marine Sanctuary region off Boston, Massachusetts, an area of approximately 1100 square nautical miles. The Stellwagen Bank NMS Mapping Project is designed to provide detailed maps of the Stellwagen Bank region's environments and habitats and the first complete multibeam topographic and sea floor characterization maps of a significant region of the shallow EEZ. Data were collected on four cruises over a two year period from the fall of 1994 to the fall of 1996. The surveys were conducted aboard the Candian Hydrographic Service vessel Frederick G. Creed, a SWATH (Small Waterplane Twin Hull) ship that surveys at speeds of 16 knots. The multibeam data were collected utilizing a Simrad Subsea EM 1000 Multibeam Echo Sounder (95 kHz) that is permanently installed in the hull of the Creed.

  8. A

    Census Tracts Boston (2010)

    • data.boston.gov
    • gis.data.mass.gov
    • +1more
    Updated Nov 14, 2024
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    Boston Maps (2024). Census Tracts Boston (2010) [Dataset]. https://data.boston.gov/dataset/census-tracts-boston-2010
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    kml, html, csv, arcgis geoservices rest api, shp, geojson, zipAvailable download formats
    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    Boston Maps
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

  9. m

    Massachusetts Interactive Property Map

    • submitgisdata.mass.gov
    Updated Sep 30, 2014
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    MassGIS - Bureau of Geographic Information (2014). Massachusetts Interactive Property Map [Dataset]. https://submitgisdata.mass.gov/datasets/massachusetts-interactive-property-map
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    Dataset updated
    Sep 30, 2014
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Massachusetts
    Description

    To access parcel information:Enter an address or zoom in by using the +/- tools or your mouse scroll wheel. Parcels will draw when zoomed in.Click on a parcel to display a popup with information about that parcel.Click the "Basemap" button to display background aerial imagery.From the "Layers" button you can turn map features on and off.Complete Help (PDF)Parcel Legend:Full Map LegendAbout this ViewerThis viewer displays land property boundaries from assessor parcel maps across Massachusetts. Each parcel is linked to selected descriptive information from assessor databases. Data for all 351 cities and towns are the standardized "Level 3" tax parcels served by MassGIS. More details ...Read about and download parcel dataUpdatesV 1.1: Added 'Layers' tab. (2018)V 1.2: Reformatted popup to use HTML table for columns and made address larger. (Jan 2019)V 1.3: Added 'Download Parcel Data by City/Town' option to list of layers. This box is checked off by default but when activated a user can identify anywhere and download data for that entire city/town, except Boston. (March 14, 2019)V 1.4: Data for Boston is included in the "Level 3" standardized parcels layer. (August 10, 2020)V 1.4 MassGIS, EOTSS 2021

  10. n

    USGS Historical Coastal Topographic Map

    • cmr.earthdata.nasa.gov
    Updated Nov 5, 2018
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    (2018). USGS Historical Coastal Topographic Map [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214592912-SCIOPS
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    Dataset updated
    Nov 5, 2018
    Time period covered
    Jan 1, 1890 - Jan 1, 1900
    Description

    This layer is a digital raster graphic of the historical 15-minute USGS topographic quadrangle maps of coastal towns in Massachusetts. These quadrangles were mosaicked together to create a single data layer of the coast of Massachusetts and a large portion of the southeastern area of the state. The Massachusetts Office of Coastal Zone Management (CZM) obtained the map images from the Harvard Map Collection. The maps were produced in the late 1890s and early 20th century at a scale of 1:62,500 or 1:63,360 and are commonly known as 15-minute quadrangle maps because each map covers a four-sided area of 15 minutes of latitude and 15 minutes of longitude. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map. In ArcSDE the image is named IMG_USGS_HIST_COASTAL.

  11. Web Map Morning Air Temperature in Boston MA

    • noaa.hub.arcgis.com
    Updated May 5, 2022
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    NOAA GeoPlatform (2022). Web Map Morning Air Temperature in Boston MA [Dataset]. https://noaa.hub.arcgis.com/maps/5e9561c023864d0c939dddc10e57fc9d
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    Dataset updated
    May 5, 2022
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Description

    Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: Sensing package time step valuesUnits: decimal degrees Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Cities IncludedBaltimore, Boise, Boston, Fort Lauderdale, Honolulu, Los Angeles, Nampa, Oakland-Berkeley, Portland, Richmond, Sacramento, San Bernardino, San Juan, Victorville, Washington, West Palm Beach, Worcester, Charleston and YonkersCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Boston MAMorning air temperatures in cities

  12. Data from: Maps made with smartphones highlight lower noise pollution during...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    bin, csv
    Updated Mar 26, 2024
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    Alyssa Helmling; Alyssa Helmling; Carina Terry; Richard Primack; Carina Terry; Richard Primack (2024). Data from: Maps made with smartphones highlight lower noise pollution during COVID-19 pandemic lockdown at four locations in Boston [Dataset]. http://doi.org/10.5061/dryad.ncjsxkt35
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    csv, binAvailable download formats
    Dataset updated
    Mar 26, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Alyssa Helmling; Alyssa Helmling; Carina Terry; Richard Primack; Carina Terry; Richard Primack
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Boston
    Measurement technique
    <p>We collected sound measurements within four different urban sites in Boston, Massachusetts. Working in small teams of 2-4 people, we used the mobile app SPLnFFT to collect sound level data in A-weighted decibel readings using smartphones. We exclusively used iPhones for data collection for consistency in hardware and software. Before each collection, we calibrated each iPhone to the same standard, which was used for every collection outing. We recorded the L50 value (the median sound level) for each recording because the L50 value is less affected by short bursts of loud sound than the mean reading. Recordings ran for approximately 20 seconds each. We recorded all sound measurements between 9 am and 5 pm on workdays to avoid the influence of rush-hour traffic, and only collected data on days without rain, snow, or strong wind to prevent inaccuracies due to weather. Within these conditions, we collected sound measurements over multiple days and at different times to ensure representative data. We followed these procedures for both collection cycles (2020 during lockdown and 2021 after lockdown had been lifted). The 2017 data were collected for an unrelated noise pollution project conducted by previous members of the Primack Lab and were not collected with the exact parameters established for the 2020 and 2021 collections. However, we found these noise data to be valuable given that they could be used to compare lockdown sound levels to the soundscape before the COVID-19 pandemic.</p> <p>We used R Studio to create sound maps from the individual data points in a way that allows for spatial visualization of the soundscape before, during, and after the pandemic lockdown. To test for statistically significant differences in sound level between years, we performed Welch's t-tests on the raw data for all sites comparing lockdown (2020) measurements to pre (2017) and post (2021) lockdown measurements. Given the hypothesis that 2020 would have lower sound levels at each site, we report the results of one-tailed t-tests. </p>
    Description

    Noise pollution in cities has major negative effects on the health of both humans and wildlife. Using iPhones, we collected sound-level data at hundreds of locations in four areas of Boston, Massachusetts (USA) before, during, and after the fall 2020 pandemic lockdown, during which most people were required to remain at home. These spatially dispersed measurements allowed us to make detailed maps of noise pollution that are not possible when using standard fixed sound equipment. The four sites were: the Boston University campus (which sits between two highways), the Fenway/Longwood area (which includes an urban park and several hospitals), Harvard Square (home of Harvard University), and East Boston (a residential area near Logan Airport). Across all four sites, sound levels averaged 6.4 dB lower during the pandemic lockdown than after. Fewer high noise measurements occurred during lockdown as well. The resulting sound maps highlight noisy locations such as traffic intersections and quiet locations such as parks. This project demonstrates that changes in human activity can reduce noise pollution and that simple smartphone technology can be used to make highly detailed maps of noise pollution that identify sources of high sound levels potentially harmful to humans in urban environments.

  13. A

    Climate Ready Boston Social Vulnerability

    • data.boston.gov
    • gis.data.mass.gov
    • +1more
    Updated Sep 21, 2017
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    Boston Maps (2017). Climate Ready Boston Social Vulnerability [Dataset]. https://data.boston.gov/dataset/climate-ready-boston-social-vulnerability
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    arcgis geoservices rest api, html, csv, kml, geojson, zipAvailable download formats
    Dataset updated
    Sep 21, 2017
    Dataset provided by
    BostonMaps
    Authors
    Boston Maps
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Boston
    Description
    Social vulnerability is defined as the disproportionate susceptibility of some social groups to the impacts of hazards, including death, injury, loss, or disruption of livelihood. In this dataset from Climate Ready Boston, groups identified as being more vulnerable are older adults, children, people of color, people with limited English proficiency, people with low or no incomes, people with disabilities, and people with medical illnesses.

    Source:

    The analysis and definitions used in Climate Ready Boston (2016) are based on "A framework to understand the relationship between social factors that reduce resilience in cities: Application to the City of Boston." Published 2015 in the International Journal of Disaster Risk Reduction by Atyia Martin, Northeastern University.

    Population Definitions:

    Older Adults:
    Older adults (those over age 65) have physical vulnerabilities in a climate event; they suffer from higher rates of medical illness than the rest of the population and can have some functional limitations in an evacuation scenario, as well as when preparing for and recovering from a disaster. Furthermore, older adults are physically more vulnerable to the impacts of extreme heat. Beyond the physical risk, older adults are more likely to be socially isolated. Without an appropriate support network, an initially small risk could be exacerbated if an older adult is not able to get help.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for population over 65 years of age.
    Attribute label: OlderAdult

    Children:
    Families with children require additional resources in a climate event. When school is cancelled, parents need alternative childcare options, which can mean missing work. Children are especially vulnerable to extreme heat and stress following a natural disaster.
    Data source: 2010 American Community Survey 5-year Estimates (ACS) data by census tract for population under 5 years of age.
    Attribute label: TotChild

    People of Color:
    People of color make up a majority (53 percent) of Boston’s population. People of color are more likely to fall into multiple vulnerable groups as
    well. People of color statistically have lower levels of income and higher levels of poverty than the population at large. People of color, many of whom also have limited English proficiency, may not have ready access in their primary language to information about the dangers of extreme heat or about cooling center resources. This risk to extreme heat can be compounded by the fact that people of color often live in more densely populated urban areas that are at higher risk for heat exposure due to the urban heat island effect.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract: Black, Native American, Asian, Island, Other, Multi, Non-white Hispanics.
    Attribute label: POC2

    Limited English Proficiency:
    Without adequate English skills, residents can miss crucial information on how to prepare
    for hazards. Cultural practices for information sharing, for example, may focus on word-of-mouth communication. In a flood event, residents can also face challenges communicating with emergency response personnel. If residents are more socially
    isolated, they may be less likely to hear about upcoming events. Finally, immigrants, especially ones who are undocumented, may be reluctant to use government services out of fear of deportation or general distrust of the government or emergency personnel.
    Data Source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract, defined as speaks English only or speaks English “very well”.
    Attribute label: LEP

    Low to no Income:
    A lack of financial resources impacts a household’s ability to prepare for a disaster event and to support friends and neighborhoods. For example, residents without televisions, computers, or data-driven mobile phones may face challenges getting news about hazards or recovery resources. Renters may have trouble finding and paying deposits for replacement housing if their residence is impacted by flooding. Homeowners may be less able to afford insurance that will cover flood damage. Having low or no income can create difficulty evacuating in a disaster event because of a higher reliance on public transportation. If unable to evacuate, residents may be more at risk without supplies to stay in their homes for an extended period of time. Low- and no-income residents can also be more vulnerable to hot weather if running air conditioning or fans puts utility costs out of reach.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for low-to- no income populations. The data represents a calculated field that combines people who were 100% below the poverty level and those who were 100–149% of the poverty level.
    Attribute label: Low_to_No

    People with Disabilities:
    People with disabilities are among the most vulnerable in an emergency; they sustain disproportionate rates of illness, injury, and death in disaster events.46 People with disabilities can find it difficult to adequately prepare for a disaster event, including moving to a safer place. They are more likely to be left behind or abandoned during evacuations. Rescue and relief resources—like emergency transportation or shelters, for example— may not be universally accessible. Research has revealed a historic pattern of discrimination against people with disabilities in times of resource scarcity, like after a major storm and flood.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for total civilian non-institutionalized population, including: hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty.
    Attribute label: TotDis

    Medical Illness:
    Symptoms of existing medical illnesses are often exacerbated by hot temperatures. For example, heat can trigger asthma attacks or increase already high blood pressure due to the stress of high temperatures put on the body. Climate events can interrupt access to normal sources of healthcare and even life-sustaining medication. Special planning is required for people experiencing medical illness. For example, people dependent on dialysis will have different evacuation and care needs than other Boston residents in a climate event.
    Data source: Medical illness is a proxy measure which is based on EASI data accessed through Simply Map. Health data at the local level in Massachusetts is not available beyond zip codes. EASI modeled the health statistics for the U.S. population based upon age, sex, and race probabilities using U.S. Census Bureau data. The probabilities are modeled against the census and current year and five year forecasts. Medical illness is the sum of asthma in children, asthma in adults, heart disease, emphysema, bronchitis, cancer, diabetes, kidney disease, and liver disease. A limitation is that these numbers may be over-counted as the result of people potentially having more than one medical illness. Therefore, the analysis may have greater numbers of people with medical illness within census tracts than actually present. Overall, the analysis was based on the relationship between social factors.
    Attribute label: MedIllnes

    Other attribute definitions:
    GEOID10: Geographic identifier: State Code (25), Country Code (025), 2010 Census Tract
    AREA_SQFT: Tract area (in square feet)
    AREA_ACRES: Tract area (in acres)
    POP100_RE: Tract population count
    HU100_RE: Tract housing unit count
    Name: Boston Neighborhood
  14. g

    Polyline shapefile of a portion of the 1-meter (m) contours in quadrangle 6...

    • gimi9.com
    Updated Nov 11, 2015
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    (2015). Polyline shapefile of a portion of the 1-meter (m) contours in quadrangle 6 of the Stellwagen Bank Survey Area offshore of Boston, Massachusetts necessary to show small features not displayed by 5-m contours - based on bathymetry data collected by the U.S | gimi9.com [Dataset]. https://www.gimi9.com/dataset/data-gov_polyline-shapefile-of-a-portion-of-the-1-meter-m-contours-in-quadrangle-6-of-the-stellwage/
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    Dataset updated
    Nov 11, 2015
    Area covered
    United States, Massachusetts, Boston, Gerry E. Studds/Stellwagen Bank National Marine Sanctuary
    Description

    The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration's National Marine Sanctuary Program, has conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary region since 1993. The area is approximately 3,700 square kilometers (km2) and is subdivided into 18 quadrangles. Seven maps, at a scale of 1:25,000, of quadrangle 6 (211 km2) depict seabed topography, backscatter, ruggedness, geology, substrate mobility, mud content, and areas dominated by fine-grained or coarse-grained sand. Interpretations of bathymetric and seabed backscatter imagery, photographs, video, and grain-size analyses were used to create the geology-based maps. In all, data from 420 stations were analyzed, including sediment samples from 325 locations. The seabed geology map shows the distribution of 10 substrate types ranging from boulder ridges to immobile, muddy sand to mobile, rippled sand. Substrate types are defined on the basis of sediment grain-size composition, surficial morphology, sediment layering, and the mobility or immobility of substrate surfaces. This map series is intended to portray the major geological elements (substrates, features, processes) of environments within quadrangle 6. Additionally, these maps will be the basis for the study of the ecological requirements of invertebrate and vertebrate species that utilize these substrates and guide seabed management in the region.

  15. a

    MassHistoric Commission Towns

    • hub.arcgis.com
    Updated Jul 31, 2020
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    MassGIS - Bureau of Geographic Information (2020). MassHistoric Commission Towns [Dataset]. https://hub.arcgis.com/datasets/e27a15d822ef4b10bb4dd6eb631ceb3c
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    Dataset updated
    Jul 31, 2020
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    This public map service contains points and polygons representing information from the Massachusetts Cultural Resource Information System (MACRIS) database and related records on file at the Massachusetts Historical Commission (MHC), including the Inventory of Historic Assets of the Commonwealth, National Register of Historic Places nomination forms, local historic district study reports, local landmark reports, and other materials. The MACRIS database and the layers within the MACRIS Maps web application are updated regularly as new information is submitted and added, and as the accuracy of earlier versions of the datalayer is improved. Three datalayers are being made available to the public: The Inventory Points layer contains the locations of buildings, burial grounds, structures, and objects (e.g. statues, monuments, walls). The points layer is symbolized to indicate the most common historic designation types: 1) National Register of Historic Places, 2) local historic district, 3) both National Register and local historic district, 4) Preservation Restriction, 5) Massachusetts Historic Landmark (MA/HL) and 6) inventoried but not designated with one of the previous designations. Less common designations are not symbolized in MACRIS, but are included in the Designations attribute field.The Inventory Areas polygon layer includes areas and districts symbolized in MACRIS in a similar manner to Inventory Points. Another polygon layer, Towns, possesses a binary “y” or blank field to indicate whether a town has a survey pending digitization. Please note that new and updated information is added to MHC files daily, and that there may be considerable lag time before this information is reflected in MACRIS or in MACRIS Maps. Map information for “completed” towns may not reflect the most current information on file with MHC. For additional information, users may consult the source records, forms and maps that make up the official Inventory of Historic and Archaeological Assets of the Commonwealth, on file at the MHC, Massachusetts Archives Building, 220 Morrissey Boulevard, Boston, during weekday business hours. No appointment is needed. For directions, see https://www.sec.state.ma.us/mhc/.See the metadata for more details.

  16. m

    MassGIS Master Address Points (Feature Service)

    • gis.data.mass.gov
    • hub.arcgis.com
    • +1more
    Updated Feb 1, 2024
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    MassGIS - Bureau of Geographic Information (2024). MassGIS Master Address Points (Feature Service) [Dataset]. https://gis.data.mass.gov/datasets/massgis-master-address-points-feature-service
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    Dataset updated
    Feb 1, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    MassGIS is working very closely with the State 911 Department in the state’s Executive Office of Public Safety and Security on the Next Generation 911 Emergency Call System. MassGIS developed and is maintaining the map and address information that are at the heart of this new system. Statewide deployment of this new 9-1-1 call routing system was completed in 2018.Address sources include the Voter Registration List from the Secretary of the Commonwealth, site addresses from municipal departments (primarily assessors), and customer address lists from utilities. Addresses from utilities were “anonymized” to protect customer privacy. The MAD was also validated for completeness using the Emergency Service List (a list of telephone land line addresses) from Verizon.The MAD contains both tabular and spatial data, with addresses being mapped as point features. At present, the MAD contains 3.2 million address records and 2.2 million address points. As the database is very dynamic with changes being made daily, the data available for download will be refreshed weekly.A Statewide Addressing Standard for Municipalities is another useful asset that has been created as part of this ongoing project. It is a best practices guide for the creation and storage of addresses for Massachusetts Municipalities.Points features with each point having an address to the building/floor/unit level, when that information is available. Where more than one address is located at a single location multiple points are included (i.e. "stacked points"). The points for the most part represent building centroids. Other points are located as assessor parcel centroids.Points will display at scales 1:75,000 and closer.MassGIS' service does not contain points for Boston; they may be accessed at https://data.boston.gov/dataset/live-street-address-management-sam-addresses/resource/873a7659-68b6-4ac0-98b7-6d8af762b6f1.More details about the MAD and Master Address Points.Map service also available.

  17. a

    Massachusetts 2008-2009 USGS Color Ortho Imagery

    • hub.arcgis.com
    Updated Nov 25, 2014
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    MassGIS - Bureau of Geographic Information (2014). Massachusetts 2008-2009 USGS Color Ortho Imagery [Dataset]. https://hub.arcgis.com/maps/massgis::massachusetts-2008-2009-usgs-color-ortho-imagery
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    Dataset updated
    Nov 25, 2014
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    In spring 2008, the U.S. Geological Survey, as part of its Boston 133 Cities Urban Area mapping program, contracted for true-color imagery covering the metropolitan Boston area and beyond. Image type for the entire region (more than 1.7 million acres) is 24-bit, 3-band (red, green, blue) natural color. Each band has pixel values ranging 0-255. Pixel resolution is 30 cm., or approximately one foot. In spring 2009, USGS continued the project and 4-band 30cm imagery was obtained for the remainder of the state.This digital orthoimagery can serve a variety of purposes, from general planning, to field reference for spatial analysis, to a tool for data development and revision of vector maps. It can also serve as a reference layer or basemap for myriad applications inside geographic information system (GIS) software.The data are served from MassGIS' ArcGIS Online account as a tiled cached map service for fast display.For full metadata and links to download the imagery visit https://www.mass.gov/info-details/massgis-data-20082009-aerial-imagery.

  18. a

    Electric Utility Providers in Massachusetts

    • hub.arcgis.com
    • geo-massdot.opendata.arcgis.com
    Updated Jan 28, 2016
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    MassGIS - Bureau of Geographic Information (2016). Electric Utility Providers in Massachusetts [Dataset]. https://hub.arcgis.com/datasets/1710ebf6cf614b5fa97c0a269cece375
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    Dataset updated
    Jan 28, 2016
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    Massachusetts Electricity Providers, by Town, as of 2015.View data in an online map.

  19. m

    Massachusetts Public School Districts (Feature Service)

    • gis.data.mass.gov
    • hub.arcgis.com
    Updated Feb 26, 2024
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    MassGIS - Bureau of Geographic Information (2024). Massachusetts Public School Districts (Feature Service) [Dataset]. https://gis.data.mass.gov/maps/145c945f4fa744e8951c47b696c73758
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    Dataset updated
    Feb 26, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    This map service contains boundaries for the following types of public school districts:Local School - administered by a city or town school committee.Regional Academic - administered by a regional school committee.Regional Vocational Technical - administered by a regional vocational school committee.Independent Vocational and County Agricultural - administered by a board of trustees.Independent Public, including Commonwealth Charter Schools and Horace Mann Charter SchoolsDistrict information as of December 2, 2014, was obtained from the Massachusetts Department of Elementary and Secondary Education (ESE).For full metadata see https://www.mass.gov/info-details/massgis-data-public-school-districtsMap service also available.

  20. a

    Highway Districts

    • geo-massdot.opendata.arcgis.com
    • gis.data.mass.gov
    • +2more
    Updated Sep 3, 2015
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    Massachusetts geoDOT (2015). Highway Districts [Dataset]. https://geo-massdot.opendata.arcgis.com/datasets/highway-districts
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    Dataset updated
    Sep 3, 2015
    Dataset authored and provided by
    Massachusetts geoDOT
    Area covered
    Description

    This polygon data layer contains the six Massachusetts Department of Transportation (MassDOT) Highway Districts in the Commonwealth of Massachusetts. The districts supervise all construction within its jurisdiction; performs on-site engineering; implements maintenance and preventative maintenance programs; generates proposals for maintenance and construction work; and provides engineering support to cities and towns.ProductionThe bounds of the MassDOT Highway Districts were digitized from the MassGIS survey-level town boundaries. In addition to the polygon layer, there is an arc layer following the same line work as the polygon included in the downloadable shape file.MetadataStatusThis data is current as of September 2013.

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National Park Service (2024). Boston Harbor Islands National Recreation Area Tract and Boundary Data [Dataset]. https://catalog.data.gov/dataset/boston-harbor-islands-national-recreation-area-tract-and-boundary-data
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Boston Harbor Islands National Recreation Area Tract and Boundary Data

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Dataset updated
Jun 4, 2024
Dataset provided by
National Park Servicehttp://www.nps.gov/
Area covered
Harbor Islands- Long Island, Boston
Description

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Bounds of the tracts and islands are photo interpreted from 1996 ortho photo mosaics created by the University of Rhode Island for the park. Tracts and islands are consistent with the legislated boundaries defined by PL 104-333 which also references map number BOHA 80,002. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

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