AndreaBozzo/ceres-open-data-index huggingface dataset:
EnviroAtlas - Woodbine, IA - 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, ia, impact, iowa, land cover, natural resources, riparian, surface water, water, woodbine
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Des Moines, IA - Near Road Tree Buffer

This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.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, census block groups, communities, des moines, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, health, human well-being, ia, iowa, land cover, transportation, trees
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Milwaukee, WI - Impervious Proximity Gradient

In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. 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, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, human well-being, land cover, milwaukee, wi, wisconsin
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Austin, TX - Near Road Tree Buffer

This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. 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, austin, communities, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, health, human well-being, land cover, texas, transportation, trees, tx
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Sonoma County, CA - 51m Riparian Buffer Forest Cover

This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. 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 EnviroAtlas community 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: ca, california, communities, drinking water, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, ground water, impact, land cover, natural resources, riparian, sonoma county, surface water, water
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Tacoma, WA - Tree Cover Along Walkable Roads by Block Group

This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced 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, census block groups, communities, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, health, human well-being, land cover, tacoma, transportation, trees, wa, washington
Organization: U.S. Environmental Protection Agency
OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT

The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura  satellite on July 15, 2004 (1:38 pm equator crossing time, ascending  mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal  investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal  Netherlands Meteorological Institute). OMI is designed to monitor  stratospheric and tropospheric ozone, clouds, aerosols and smoke from  biomass burning, SO2 from volcanic eruptions, and key tropospheric  pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI  sensor counts, calibrated and geolocated radiances, and all derived  geophysical atmospheric products will be archived at the NASA Goddard  DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly  available from NASA GSFC Earth Sciences (GES) Data and Information  Services Center (DISC) for public access.  OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm. It also contains quality flags, geolocation and other ancillary information.        The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu).       OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and   documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php )             For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/.       For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below.       http://disc.sci.gsfc.nasa.gov/Aura/       http://disc.gsfc.nasa.gov/acdisc/

Tags: nasa
Organization: National Aeronautics and Space Administration
EnviroAtlas - New Bedford, MA - Land Cover by Block Group

This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, and wetlands. Forest is a combination of trees and forest and woody wetlands. Green space is a combination of trees and forest, grass and herbaceous, agriculture, woody wetlands, and emergent wetlands. Wetlands includes both Woody and Emergent Wetlands. This dataset also includes the area per capita for each block group for impervious, forest, and green space land cover. 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: agriculture, census block groups, communities, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, green space, land cover, ma, massachusetts, natural resources, new bedford
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Portland, ME - Estimated Intersection Density of Walkable Roads

This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. 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, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, health, human well-being, maine, me, portland, transportation
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Philadelphia, PA - 15m Riparian Buffer Vegetated Cover

This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. 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 EnviroAtlas community 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, natural resources, pa, pennsylvania, philadelphia, riparian, surface water, water
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Durham, NC - Demographics by Block Group

This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. 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: boundaries, census block groups, communities, demographics, durham, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, human, nc, north carolina, society
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Washington, DC - People and Land Cover in Floodplains by Block Group

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). 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, dc, demand for ecosystem services, demographics, district of columbia, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, flood, floodplain, hazards, health, human, human well-being, land cover, risk, washington, water
Organization: U.S. Environmental Protection Agency
An Overview of Selected Prognostic Technologies with Reference to an Integrated PHM Architecture

This chapter reviewed generic prognosis algorithmic approaches and introduced some of the basics associated with probabilistic predictions and a required architecture for performing prognostics on critical aerospace systems.
Prognosis is a critical element of a HM system and has the promise to realize major benefits for cost avoidance and safety improvement for fielded systems. It also presents a number of challenges to the HM system designer, primarily due to the need to properly model damage progression and to deal with large-grain uncertainty. Long-term prediction of a fault’s evolution to the point thatmay result in a failure requires means to represent and manage the inherent uncertainty. Moreover, accurate and precise prognosis demands good models of the fault growth and statistically sufficient samples of failure data to assist in training, validating, and fine tuning prognostic algorithms. Prognosis performance metrics, robust algorithms, and test platforms that may provide needed data have been the target of HM researchers in the recent past. Many accomplishments have been reported but major challenges still remain to be addressed.
To address the issue of inherent uncertainties that are the aggregate of many unknowns and can result in considerable prediction variability, the concept of adaptive prognosis was introduced. In that case, available, albeit imperfect, information is used to update elements of the prognostic model. Only one of many approaches for accomplishing this was briefly introduced, namely, the particle filter. Other statistical update techniques include Bayesian updating, constrained optimization, and Kalman filtering.
The design process is not a trivial process by which features and models are chosen for integration such that the best possible prediction on RUL still is obtained. It takes substantial effort to design systems so that measured data can be fused and used in conjunction with physics-based models to estimate current and future damage states. This is exacerbated when multiple models are employed that may use different feature inputs. The prognosis system must also be capable of intelligently calibrating a priori initial conditions (e.g., humidity, strain, and temperature) and random variable characteristics in an automated yet lucid process.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
EnviroAtlas - Portland, ME - Domestic Water Use per Day by U.S. Census Block Group

As included in this EnviroAtlas dataset, the community domestic water use was calculated using local domestic water use per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these provider-supplied estimates are also considered representative of local self-supplied water use. Specific to Portland, ME, the Portland Water District (PWD) is the main provider for the study area. Within the study area, PWD supports Portland, South Portland, Westbrook, Scarborough, and Cape Elizabeth. PWD estimates current residential water use to be ~52 GPD. The southern portion of the study area is supported by the Biddeford and Saco Water Company (BSWC). Within the study area, their service area includes Biddeford, Saco, Old Orchard Beach, and Pine Point. BSWC estimates current residential water usage to be ~50 GPD. 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, demand for ecosystem services, drinking water, ecology, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, ground water, maine, me, portland, surface water, utilities, water
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Phoenix, AZ - People and Land Cover in Floodplains by Block Group

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). 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: arizona, az, census block groups, communities, demand for ecosystem services, demographics, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, flood, floodplain, hazards, health, human, human well-being, land cover, phoenix, risk, water
Organization: U.S. Environmental Protection Agency