AndreaBozzo/ceres-open-data-index huggingface dataset:
EnviroAtlas - New Bedford, MA - Estimated Percent Tree Cover Along Walkable Roads

This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: air, communities, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, health, human well-being, land cover, ma, massachusetts, new bedford, transportation, trees
Organization: U.S. Environmental Protection Agency
EnviroAtlas - New Bedford, MA - 15m Riparian Buffer Forest Cover

This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: communities, drinking water, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, ground water, impact, land cover, ma, massachusetts, natural resources, new bedford, riparian, surface water, water
Organization: U.S. Environmental Protection Agency
EnviroAtlas - New Bedford, MA - 51m Riparian Buffer Forest Cover

This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: communities, drinking water, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, ground water, impact, land cover, ma, massachusetts, natural resources, new bedford, riparian, surface water, water
Organization: U.S. Environmental Protection Agency
EnviroAtlas - New Bedford, MA - Riparian Buffer Land Cover by Block Group

This EnviroAtlas dataset describes the percentage of different land cover types within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: census block groups, communities, drinking water, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, ground water, impact, land cover, ma, massachusetts, natural resources, new bedford, riparian, surface water, water
Organization: U.S. Environmental Protection Agency
EnviroAtlas - New Bedford, MA - Potential Window Views of Water by Block Group

This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The residential locations are defined using the EnviroAtlas Dasymetric (2011 version) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: census block groups, communities, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, human well-being, ma, massachusetts, new bedford, surface water, water
Organization: U.S. Environmental Protection Agency
EnviroAtlas - New Bedford, MA - 15m Riparian Buffer Vegetated Cover

This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: communities, drinking water, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, ground water, impact, land cover, ma, massachusetts, natural resources, new bedford, riparian, surface water, water
Organization: U.S. Environmental Protection Agency
EnviroAtlas - New Bedford, MA - 51m Riparian Buffer Vegetated Cover

This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: communities, drinking water, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, ground water, impact, land cover, ma, massachusetts, natural resources, new bedford, riparian, surface water, water
Organization: U.S. Environmental Protection Agency
EnviroAtlas - New Bedford, MA - Residents with Potential Window Views of Trees by Block Group

This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered "potential" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: census block groups, communities, demographics, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, human well-being, land cover, ma, massachusetts, natural resources, new bedford, trees
Organization: U.S. Environmental Protection Agency
MTA Subway Origin-Destination Ridership Estimate: 2024

This dataset provides an estimate of subway travel patterns based on scaled-up OMNY and MetroCard return swipe data. It provides estimated passenger volumes for all populated origin-destination (O-D) pairs aggregated by month, day of the week, and hour of day. It also provides the name, ID, and approximate latitude and longitude of the origin and destination subway complexes.

Tags: coordinates, customers, destinations, fares, hourly, metrocard, monthly, new-york-city-transit, nyct, od, omny, origin-destination, origins, passengers, ridership, station-complexes, stations, subway, subway-stations, travel-patterns
Organization: State of New York
USITC Inv. No 332-564 Source Data

This data release accompanies USITC Publication 4780, U.S. Trade and Investment with Sub-Saharan Africa: Recent Developments, USITC investigation no. 332-564. The data were used to perform gravity modeling analyses as described in appendix F of the report. All the data included in this release come from public sources. The data cover 235 countries and territories. Industries are classified according to the USITC digest system, which contains 250 sectors. The included variables are listed in the README file.

Tags: 332-564, 4780, gravity-modeling, publication, sub-saharan-africa
Organization: US International Trade Commission
Metadata Dictionary Describing Data to Model a Chemical's Conditions of Use

This data dictionary describes relevant fields from secondary data sources that can assist with modeling the conditions of use for a chemical when performing a chemical assessment. Information on how to access the secondary data sources are included. 

This dataset is associated with the following publication:
Chea, J.D., D.E. Meyer, R.L. Smith, S. Takkellapati, and G.J. Ruiz-Mercado. Exploring automated tracking of chemicals through their conditions of use to support life cycle chemical assessment.   JOURNAL OF INDUSTRIAL ECOLOGY. Berkeley Electronic Press, Berkeley, CA, USA, 29(2): 413-616, (2025).

Tags: chemical-assessment, chemical-tracking, conditions-of-use, qualitative-material-flow-analysis
Organization: U.S. Environmental Protection Agency
Emissions data from the pilot-scale combustion of perfluorocarboxylic acids

Emissions data from the pilot-scale combustion of  C4 and C8 perfluorocarboxylic acids. 

This dataset is associated with the following publication:
Weber, N., J. Krug, W. Roberson, J. Mattila, R.(. Burnette, M. Allen, W. Preston, and B. Linak. Evaluating the Thermal Decomposition of PFAS: Identifying Products of Incomplete Combustion. Presented at AWMA: The Science of PFAS, Raleigh, NC, USA, 03/11/2025 - 03/13/2025.

Tags: perfluoroctanoic-acid-pfoa, pfas, pics, thermal-treatment
Organization: U.S. Environmental Protection Agency
Fiber Optic Thermal Slug Experiments Conducted at Texas Tech University - Report

The report details a thermal circulation test at Red Raider #2 at the Oil Field Technology Center (OTC)  involving staged hot water injections and distributed temperature sensing (DTS) fiber optic measurements. It includes experimental setup, fluid flow and temperature data, thermal slug velocity calculations, and simulation results from Schlumberger's OLGA simulator.

Tags: adsorption, bulk-velocity, circulation-test, distributed-temperature-sensing, dts, energy, fiber-optic-monitoring, flow-rate-analysis, geothermal, heat-transient, hot-water-injection, lab-experiments, multiphase-flow-modeling, olga, red-raider-2, temperature-profile, thermal-slug, thermocouple, tracers, wellbore-heat-transfer
Organization: Department of Energy
Utah FORGE: Seismic DAS and Geophone Borehole Data Processing and 3D Imaging of Vp/Vs Ratio in the 2024 Stimulated Reservoir

This dataset includes a final report and a 3D velocity model derived from seismic DAS and geophone borehole data collected during the April 2024 stimulation of the reservoir at Utah FORGE. The report details the processing of over 50,000 P- and S-wave travel times used in a tomographic inversion to estimate the Vp/Vs ratio, revealing anomalies adjacent to wells 16A and 16B that may be associated with injected fracturing fluids. Additionally, Wadati analysis of more than 27,000 pairs of differential P- and S-wave travel times supports this interpretation with a high Vp/Vs estimate of 1.86, averaged over the dimensions of the earthquake cluster. The accompanying data file provides a 3D model of P- and S-wave velocities and Vp/Vs ratios, structured with spatial coordinates and velocity values.

Tags: 16a, 16b, 3d-tomography, das, distributed-acoustic-sensing, earthquake-cluster, egs, energy, fracturing-fluids, geophone, geophysics, geothermal, induced-seismicity, inversion, p-wave-velocity, reservoir-stimulation, s-wave-velocity, seismic-borehole-data, subsurface-imaging, tomography, travel-time-inversion, utah-forge, vp-vs, vp-vs-ratio, wadati-analysis
Organization: Department of Energy
AmeriCorps Open Data Platform Asset Views and Downloads

This dataset shows the number of 'views' and 'downloads' of assets for a specific AmeriCorps Open Data Platform (ODP) asset ('ASSET_UID' and 'ASSET_NAME') made by anonymous users within a given calendar year.

This dataset was extracted from the AmeriCorps ODP on 03/31/2025.

This dataset began to be collected on 10/20/2023.

Tags: national-service
Organization: AmeriCorps
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption

The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) in order to accommodate extreme levels of PV. For this goal, we aim at creating a highly efficient AI framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse AMI devices and PMUs. The files contain the integrated bad data detection with a pre-trained Deep Neural Network-based State Estimation (DNN-SE) model with a voltage regulation control algorithm to manage over-voltage issues in J-1 Feeder with high PV penetration.

Tags: ai, ami, artificial-intelligence, data, dnn, dnn-se, energy, machine-learning, ml, neural-network, photovoltaic, pmu, power, pv, raw-data, real-time
Organization: Department of Energy
311 City Service Requests in 2025

<div style='text-align:Left;'><div><div><p><span>Data provided here are from the DC's 311 service request center. They represent all service requests such as abandoned automobiles, parking meter repair and bulk trash pickup. Requests are received by the Office of Unified Communications (OUC) through the Mayor's Call Center (311), citizens web intake at </span><a href='https://311.dc.gov/' style='text-decoration:underline;' rel='nofollow ugc'><span>311.dc.gov</span></a><span>, electronic and US mail service or via other methods of communication. The </span><a href='https://ouc.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>Office of Unified Communications (OUC)</span></a><span> oversees the designated call center for all 311 calls and for all District 911 calls. </span></p><p><span>Please also visit the </span><a href='https://dcgis.maps.arcgis.com:443/apps/webappviewer/index.html?id=dca9e27c4c9d4c24a02cb2c5006beae2' style='text-decoration:underline;' rel='nofollow ugc'><span>DC 311 Service Request Map</span></a><span> which allows the public to see service requests in the last 30 days. Users can view requests by Ward within charts. Just set the area filter to select service requests. Click on a service request to view details.</span></p></div></div></div>

Tags: 311, dc, district-of-columbia, ouc, public-service, resident, service-requests, washington-dc
Organization: District of Columbia
Sidewalk Cafe

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of sidewalk cafes provided by the District Department of Transportation. These came from DDOT's Transportation Online Permit System (TOPS).</span></p></div></div></div>

Tags: business, dc, ddot, district-of-columbia, permit, restaurant, sidewalk-cafe, washington-dc
Organization: District of Columbia
Joyful Food Market

Represents schools at which Martha's Table and Capital Area Food Bank run the Joyful Food Markets program. These are elementary schools in Wards 7 &amp; 8.Compiled by the Office of Planning based on Martha's Table's public list of schools. Since Martha's Table is in the process of expanding the program, visit <a href='https://marthastable.org/programs/foodaccessprograms/' target='_blank' rel='nofollow ugc noopener noreferrer'>https://marthastable.org/programs/foodaccessprograms/</a> for the most up-to-date list. Fields include:<div><ul><li>School: School at which the Joyful Food Markets program is active.<br /></li><li>Address: Address of school.</li></ul></div>

Tags: care, district-of-columbia, food, foodeats, group-meal, health, market, meal, public-service, washington-dc
Organization: District of Columbia
MAR Web Geocoder User Guide

The MAR Web Geocoder is a web browser-based tool for geocoding locations, typically addresses, in Washington, DC. It is developed by the Office of Chief Technology Officer (OCTO) and can input Excel or CSV files to output an Excel file. Geocoding is the process of assigning a location in the form of geographic coordinates (often expressed as latitude and longitude) to spreadsheet data. This is done by comparing the descriptive geographic data to known geographic locations such as addresses, blocks, intersections, or place names.

Tags: district-of-columbia, geocoder, geocoding, mar, master-address-repository, washington-dc
Organization: District of Columbia
Marijuana Arrests

<div style="text-align:Left;"><div><div><p><span>The data represents individuals arrested with a marijuana charge, regardless of whether there was a more serious secondary charge. If an arrestee was charged with multiple marijuana charges, the arrest is only counted once under the more serious charge type (Manufacture/Cultivation &gt; Distribution &gt; Possession with Intent to Distribute &gt; Possession &gt; Public Consumption). The category of “Manufacture or Cultivation” was added in the 2019 data and for future years, but is not utilized in prior years.</span></p><p></p><p><span>MPD collects race and ethnicity data according to the United States Census Bureau standards (</span><a target="_blank" rel="noopener noreferrer" href="https://www.census.gov:443/topics/population/race/about.html"><span><u>https://www.census.gov/topics/population/race/about.html</u></span></a><span>). Hispanic, which was previously categorized under the Race field prior to August 2015, is now captured under Ethnicity. All records prior to August 2015 have been updated to “Unknown (Race), Hispanic (Ethnicity).” Data on race and ethnicity prior to November 9, 2018 was based on officer observation; on and after November 9, 2018, the data is based on the arrestee’s response.</span></p><p></p><p><span>MPD cannot release exact addresses to the general public unless proof of ownership or subpoena is submitted. The GeoX and GeoY values represent the block location (approximately 232 ft. radius) as of the date of the arrest. Due to the Department’s redistricting efforts in 2012 and 2019, data may not be comparable in some years.</span></p><p><span>Arrestee age is calculated based on the number of days between the self-reported or verified date of birth (DOB) of the arrestee and the date of the arrest; DOB data may not be accurate if self-reported or if the arrestee refused to provide it.</span></p><p></p><p><span>Due to the sensitive nature of juvenile data and to protect the arrestee’s confidentiality, any arrest records for defendants under the age of 18 have been coded as “NA” for the following fields:</span></p><p><span>• Arrest Hour</span></p><p><span>• CCN</span></p><p><span>• Age</span></p><p><span>• Offense Location Block GeoX/Y</span></p><p><span>• Defendant Race</span></p><p><span>• Defendant Ethnicity</span></p><p><span>• Defendant Sex</span></p><p><span>• Arrest Location Block Address</span></p><p><span>• Arrest Location Block GeoX/Y</span></p><p></p><p><span>This data may not match other marijuana data requests that may have included all law enforcement agencies in the District, or only the most serious charge. Figures are subject to change due to record sealing, expungements, and data quality audits.</span></p></div></div></div>

Tags: arrest, dc, dc-gis, dcgis, district-of-columbia, marijuana, mpd, open-data, washington
Organization: District of Columbia