ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Open spaces of conservation and recreation interest in Boston, Massachusetts, USA, regardless of ownership.
Geospatial data about Boston, Massachusetts Open Space. Export to CAD, GIS, PDF, CSV and access via API.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Following April 7, 2014 Executive Order from Mayor Walsh, an Open and Protected Data Policy was drafted to guide the City in defining, protecting, and ultimately making Open Data available and useful to the public. The policy provides working definitions for Open Data, along with information on how it is to be published, reviewed, and licensed.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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The Checkbook Explorer web application provides current financial information about the City of Boston's expenditures, allowing users to explore how City funds are spent.
Data is updated regularly, though the timing may vary based on internal review and approval processes. This data is published, and certain information is withheld from publishing, in accordance with the 2014 Executive Order of Mayor Martin J. Walsh, "_An Order Relative to Open Data and Protected Data Sharing_." Personal information is excluded to protect individual privacy. The Checkbook Explorer does not contain payroll information, which is available in the Employee Earnings Report (https://data.boston.gov/dataset/employee-earnings-report), or data from independent city agencies. Data from July 2011 (FY 2012) to present is available.
Analyze Boston is the City of Boston's open data hub to find facts, figures, and maps related to our lives within the city. We are working to make this the default technology platform to support the publication of the City's public information, in the form of data, and to make this information easy to find, access, and use by a broad audience. This platform is managed by the Citywide Analytics Team. The release of Analyze Boston marks the culminating point of our efforts to transition to a new open data platform. We will continue our work to curate high-quality and up-to-date datasets and develop a platform that is widely accessible. If you have feedback, please fill out this simple form. Analyze Boston is made possible by grant funding awarded by the Knight Foundation's Knight News Challenge on Libraries that established the Open Data to Open Knowledge project.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Boston MA city boundary including water features.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Learn more about the project and how to use the canopy assessment data by visiting the StoryMap!
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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These datasets include Food Establishment Inspections processed from the city’s open data initiative (data.boston.gov), and the connection with data scraped from Yelp (namely, Yelp reviews) scraped by BARI. The data is within the city of Boston. The Food Inspections dataset is released by the Health Division of the Department of Inspectional Services of Boston which ensures that all food establishments in the City of Boston meet relevant sanitary codes and standards. The data scraped from Yelp pages includes information about restaurants in Boston that were reviewed on yelp.com. Thus, the data includes two files: Food.Inspections.Records.csv contains information about food inspections at record level (i.e. each record for each restaurant is included). Food.Inspections.Yelp.Restaurant.csv contains information about food inspections at the restaurant level plus information from Yelp reviews also at the restaurant level.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Each year, the City of Boston publishes payroll data for employees. This dataset contains employee names, job details, and earnings information including base salary, overtime, and total compensation for employees of the City.
See the "Payroll Categories" document below for an explanation of what types of earnings are included in each category.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Online survey study tracking sleep, health and mood during the COVID-19 pandemic
Ward boundaries that overlay with the new revised Precincts. July 2022.
The variables contained in the data sets are primarily concerned with perinatal outcomes and maternal health. A number of variables with respect to the social and economic status of the mothers and their families were also included (ie. Occupation, Marital status, Region). While all nine data sets are centered around these common themes and hold many variables in common, each data set has a unique combination of variables. The types of fields are wide-ranging but are primarily concerned with infant birth, maternal health, and socioeconomic status. The clinical records of the Boston Lying-in inpatient and outpatient services, and those of the New England Hospital maternity unit, are housed in the Rare Book Room, Francis A. Countway Library of Medicine, Harvard University, Boston, Massachusetts. While the information found in these records varied somewhat from one hospital to the next, each set of records was consistent throughout the period under review. Four data bases were established, one consisting exclusively of white patients for each of the three clinics and one composed of all black patients from both services of the Boston Lying-in. The four sample populations were constituted in the following ways. The clinical records of the New England Hospital’s maternity clinic exist in continuous series from 1872 to 1900. All births were recorded because there were fewer than 200 deliveries annually. The patient registers of the Boston Lying-in inpatient service span the years 1886-1900, with a gap in 1893 and 1894. A random sample of 200 cases was chosen for each year. The same procedure was followed at the outpatient clinic, whose case files extend from 1884 to 1900, excepting those years in which all were recorded because fewer births occurred, and a short period when all cases were noted even though they totaled more than 200. Because the number of black patients was small, and because the birth weight experience of blacks was distinctive in some important respects, a fourth file was created consisting of all blacks in the Lying-in inpatient and outpatient records. The preliminary data bases consisted of 3480, 2503, 3654, and 373 cases, respectively. The birth weight means in the Lying-in inpatient sample are accurate to 79 grams, and those of the outpatient clinic sample to 65 grams, at the 95 percent confidence level.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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This dataset is the resulting traffic volume data from a recent pilot of computer-vision sensors.
The following metrics were measured: -Volume counts of people, bikes, cars, trucks, and busses passing through pilot project areas -Volumes accounted for by mode and timestamped at up to 15-minute intervals -Desire lines and movement patterns accounted for by mode
The primary purpose of this pilot was to understand the impacts of temporary street-level changes that would be implemented to facilitate a safe re-opening in the context of Covid-19. A secondary objective of the project was to evaluate a privacy-oriented solution to data collection in the public realm.
Sensors were installed at three distinct locations: -In the Seaport district on a commercial street with bike lanes (Northern Avenue) -Downtown at a busy intersection next to the Boston Common (Tremont Street) -And in Jamaica Plain where the southwest corridor convenes with a blue bike station and T stop (Jackson Sq.)
Please complete this form to access the City of Boston Sandbox and access the data in API format: https://docs.google.com/forms/d/e/1FAIpQLScuEQEsmTToEMBRqvX7uhpCiWu165T4GciTCMEa2ylC2bT59w/viewform
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This data provides the integrated cadastral framework for the specified Canada Land. The cadastral framework consists of active and superseded cadastral parcel, roads, easements, administrative areas, active lines, points and annotations. The cadastral lines form the boundaries of the parcels. COGO attributes are associated to the lines and depict the adjusted framework of the cadastral fabric. The cadastral annotations consist of lot numbers, block numbers, township numbers, etc. The cadastral framework is compiled from Canada Lands Survey Records (CLSR), Registration Plans (RS) and Location Sketches (LS) archived in the Canada Lands Survey Records.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Click here to check Short-Term Rental Eligibility
Boston's ordinance on short-term rentals is designed to incorporate the growth of the home-share industry into the City's work to create affordable housing for all residents. We want to preserve housing for residents while allowing Bostonians to benefit from this new industry. Starting on on January 1, 2019, short-term rentals in Boston will need to register with the City of Boston.
Eligibility for every unit in the City of Boston is dependant on the following six criteria:
The Short-Term Rental Eligibility Dataset leverages information, wherever possible, about these criteria. For additional details and information about these criteria, please visit https://www.boston.gov/short-term-rentals.
In June 2018, a citywide ordinance established new guidelines and regulations for short-term rentals in Boston. Registration opened January 1, 2019. The Short-Term Rental Eligibility Dataset was created to help residents, landlords, and City officials determine whether a property is eligible to be registered as a short-term rental.
The Short-Term Rental Eligibility Dataset currently joins data from the following datasets and is refreshed nightly:
** Open** the Short-Term Rental Eligibility Dataset. In the dataset's search bar, enter the address of the property you are seeking to register.
Find the row containing the correct address and unit of the property you are seeking. This is the information we have for your unit.
Look at the columns marked as “Home-Share Eligible,” “Limited-Share Eligible,” and “Owner-Adjacent Eligible.”
If your unit has a “yes” under “Home-Share Eligible,” “Limited-Share Eligible,” or “Owner-Adjacent Eligible,” you can register your unit here.
If you find that your unit is listed as NOT eligible, and you would like to understand more about why, you can use the Short-Term Rental Eligibility Dataset to learn more. The following columns measure each of the six eligibility criteria in the following ways:
No affordability covenant restrictions
Compliance with housing laws and codes
No violations of laws regarding short-term rental use
A “yes” in the “Legally Restricted” column tells you that there is a complaint against the unit that finds
A legal restriction that prohibits the use of the unit as a Short-Term Rental under local, state, or federal law, OR
legal restriction that prohibits the use of the unit as a Short-Term Rental under condominium bylaws.
Units with legal restrictions found upon investigation are NOT eligible.
If the investigation of a complaint against the unit yields restrictions of the nature detailed above, we will mark the unit with a “yes” in this column. Until such complaint-based investigations begin, all units are marked with “no.”
NOTE: Currently no units have a “legally restricted” designation.
Owner-occupied
A “no” in the “Unit Owner-Occupied” column tells you that there is NO Residential Tax Exemption filed for that unit via the Assessing Department, and that unit is automatically categorized as NOT eligible for the following Short-Term Rental types:
Owners are not required to file a Residential Tax Exemption in order to be eligible to register a unit as a Short-Term Rental.
If you would like to apply for Residential Tax Exemption, you can apply here.
If you are the owner-occupant of a unit and you have not filed for Residential Tax Exemption, you can still register your unit by proving owner-occupancy.
It is recommended that you submit proof of residency in your short-term rental registration application to expedite the process of proving owner-occupancy (see
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Electric power load at Boston Public Library's Central Branch (700 Boylston Street, in Copley Square) measured every five minutes.
This point datalayer shows the locations of schools in Massachusetts. Schools appearing in this layer are those attended by students in pre-kindergarten through high school. Categories of schools include public, private, charter, collaborative programs, and approved special education. This data was originally developed by the Massachusetts Department of Environmental Protection’s (DEP) GIS Program based on database information provided by the Massachusetts Department of Education (DOE). The update published on April 17th, 2009 was based on listings MassGIS obtained from the DOE as of February 9th, 2009. The layer is stored in ArcSDE and distributed as SCHOOLS_PT. Only schools located in Massachusetts are included in this layer. The DOE also provides a listing of out-of-state schools open to Massachusetts' residents, particularly for those with special learning requirements. Please see http://profiles.doe.mass.edu/outofstate.asp for details.
© The City of Boston recognizes the value and benefit gained by sharing GIS data. Although the City has made reasonable efforts to provide accurate data, the City makes no representations or guarantees about the accuracy, completeness, or currency of the information provided. The City of Boston provides this data as is and with all faults, and makes no warranty of any kind. Each user is responsible for determining the suitability of the data for their intended use or purpose. Neither the City nor its affiliates, employees, or agents shall be liable for any loss or injury caused in whole or in part by use of any data obtained from this website. The GIS data is updated and modified on a regular basis and users are encouraged to report any errors to the City.
This dataset includes shorelines from 161 years ranging from 1847 to 2008 within the Boston coastal region from Carson Beach in South Boston to Weymouth River, including the Boston Harbor Islands. Shorelines were compiled from T-sheets and air-photos obtained from the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change for the MA CZM Shoreline Change Project. Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates. For publication purposes, the shoreline data for Massachusetts were organized by region in order match the extent of previously published uncertainty files used in shoreline change calculations. Due to continued coastal population growth and increased threats of erosion, current data on trends and rates of shoreline movement are required to inform shoreline and floodplain management. The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. The Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Office of Coastal Zone Management, has compiled reliable historical shoreline data along open-facing sections of the Massachusetts coast under the Massachusetts Shoreline Change Mapping and Analysis Project 2013 Update. Two oceanfront shorelines for Massachusetts (approximately 1,800 km) were (1) delineated using 2008/09 color aerial orthoimagery, and (2) extracted from topographic LIDAR datasets (2007) obtained from NOAA's Ocean Service, Coastal Services Center. The new shorelines were integrated with existing Massachusetts Office of Coastal Zone Management (MA CZM) and USGS historical shoreline data in order to compute long- and short-term rates using the latest version of the Digital Shoreline Analysis System (DSAS)..
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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An Open Context "types" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This record is part of the "Harvard Peabody Mus. Zooarchaeology" data publication.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Open spaces of conservation and recreation interest in Boston, Massachusetts, USA, regardless of ownership.