AndreaBozzo/ceres-open-data-index huggingface dataset:
Community Based Service Providers

<div style='text-align:Left;'><div><div><p><span>The Department of Behavioral Health ensures that high quality mental health services are available to District residents through a rigorous certification program conducted by the Office of Accountability. DBH certifies a provider to deliver services that support individual recovery with qualified, culturally competent staff in a safe facility. A provider also must comply with local and federal rules and regulations. Only a certified provider is eligible to participate in the District’s public behavioral health system. Services include diagnostic assessment, medication, counseling and community support. Those who need health services can also contact the ACCESS Helpline at 1-888-793-4357 and talk with a behavioral health professional for guidance through the process.</span></p></div></div></div>

Tags: adult, behavioral, children, community-based, district-of-columbia, mental-health, washington-dc
Organization: District of Columbia
Floodplains Outline

<div style='text-align:Left;'><div><div><p><span>The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs.  </span></p><p><span>The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA.</span></p><p><span>The NFHL is available as State or US Territory data sets.  Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. </span></p><p><span>The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.For more information, visit </span><a href='https://msc.fema.gov/portal/home' style='text-decoration:underline;' rel='nofollow ugc'><span>https://msc.fema.gov/portal/home</span></a><span>.</span></p></div></div></div>

Tags: dc, district-of-columbia, doee, environment-floodplain, fema, firm, insurance, washington-dc, water
Organization: District of Columbia
Floodplain Cross Sections

<div style="text-align:Left;"><div><div><p><span>Location and attributes for cross section lines in the area covered by the FIRM. This layer must contain all cross sections in a model, not just the lettered cross sections. A line developed from topographic information across a floodplain at which a computation of flood flow has been made to establish a potential flood elevation. Cross sections are shown on the Flood Boundary Floodway Map, Flood Insurance Rate Map, and/or Flood Profiles of a Flood Insurance Study.</span></p></div></div></div>

Tags: dc, dfirm, digital-flood-insurance-rate-map, district-of-columbia, environment, fema-firm, flood, flood-insurance-rate-map, floodplain-cross-section, hydrology, inland-waters, nfip, washington-dc
Organization: District of Columbia
Floodplain Base Flood Elevations

<div style="text-align:Left;"><div><div><p><span>Location and attributes for Base Flood Elevations lines shown on FIRM. The elevation of surface water resulting from a flood that has a 1% chance of equaling or exceeding that level in any given year. The BFE is shown on the Flood Insurance Rate Map (FIRM) for zones AE, AH, A1–A30, AR, AR/A, AR/AE, AR/A1– A30, AR/AH, AR/AO, V1–V30 and VE.</span></p></div></div></div>

Tags: base-flood-elevation, dc, dfirm, digital-flood-insurance-rate-map, district-of-columbia, environment, fema-firm, flood, flood-insurance-rate-map, hydrology, inland-waters, nfip, washington-dc
Organization: District of Columbia
Hospitals

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Hospitals. This dataset contains points representing hospital locations, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Hospital locations were identified from public records and heads-up digitized from the snapbase.</SPAN></P></DIV></DIV></DIV>

Tags: care, dc, dc-gis, district-of-columbia, doh, emergency, health, health-facility, hospital, medical, ncr-gdx, prescription, primary-care, washington, washington-dc
Organization: District of Columbia
Energy and Economic Assessment of a Stirling Engine Powered by Solar Energy in Bolivia

The Bolivian governments concerns that are related to reducing the consumption of diesel fuel, which is imported, subsidized, and provided to isolated electric plants in rural communities, have led to the implementation of hybrid power systems. The data in this submissions was created to compare a photovoltaic (PV)/Stirling battery system to a more traditional (PV)/diesel/battery system. The data includes:
- MATLAB Simulink model of a Parabolic dish-Stirling engine-battery system.
- Input data (Meteorological and load demand) for El Carmen, Tablani, and Pojo Pata communities

Tags: battery, bolivia, code, demand, diesel, energy, energy-storage, hybrid-battery-system, load, load-demand, matlab, meteorological-data, model, power, simulation, simulink, stirling, stirling-battery-system, stirling-engine, system
Organization: Department of Energy
Performance Analysis of a Stirling Engine Hybrid Power System

This project presents the performance analysis of a photovoltaic (PV)/Stirling battery system in terms of energy efficiency, economic feasibility, and environmental sustainability. The analysis includes the dynamic start-up and cooling phases of the system, and then compares its performance with a hybrid photovoltaic (PV)/diesel/battery system, whose configuration is usually more common. The research data is presented below. 

Both systems were initially optimized in size using the well-known energy optimization software tool, HOMER. An estimated demand for a hypothetical case study of electrification for a rural village of 102 households, called "Tacuaral de Mattos", was also considered. However, since the characteristics of the proposed systems required a detailed analysis of its dynamics, a dynamic model that complemented the HOMER analysis was developed using MATLAB Simulink TM 8.9.

For more information on the project, see the "Publication" resource below. 

Tags: battery, bi-directional-inverter, bioenergy, bolivia, data, diesel-genset, economic-feasibility, efficiency, hybrid-power-system, lead-acid-battery, micro-grid, photovoltaic, pv, pv-panel, raw-data, stirling-engine, sustainability
Organization: Department of Energy
San Antonio-Espiritu Santo Bay, Texas Four band, 1meter resolution, UltraCam orthoimage

The NOAA Office for Coastal Management purchased digital Vexcel Ultracam imagery and digital elevation models of the Texas coastline at Espiritu-Santo Bay in 2007.  The Coastal Texas project area is comprised of approximately 458 square miles. A total of 219 multispectral orthos were created to cover this area. Aerial imagery was collected in panchromatic, Red, Green, Blue and Near Infrared which yielded a natural color and false color infrared version of the completed digital orthophotography. Imagery was collected at an approximate altitude of 21000 feet above ground level.
Original contact information: 
   Contact Name: David Brostuen
   Contact Org: Sanborn Map Company, Inc.
   Title: Senior Program Manager
   Phone: 719-593-0093
   Email: dbrostuen@sanborn.com

Tags: aerial photography, airplane, atlantic ocean, cameras, color infrared doqq, continent, digital orthophoto quarter quad (qdqq), digital orthophoto quarter quarter quad (qdqqq), digital orthophotography, doc/noaa/nos/ocm, earth science, espiritu - santo bay, gulf of america, gulf of mexico, imagery, infrared imagery, infrared wavelengths, national ocean service, natural color doqq, noaa, north america, north atlantic ocean, ocean, office of coastal management, orthoimage, orthos, remotely sensed imagery/photos, san antonio, spectral/engineering, texas, tx, u.s. department of commerce, united states of america, us, vexcel ultracam d, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Evaluating the Impact of Hydrologic Alterations on Salt Marsh Sustainabilityin a Changing Climate - NERRS/NSC(NERRS Science Collaborative)

This project is a collaboration between scientists and end users to develop decision-support tools for marsh hydrological management strategies that promote sustainability and delivery of valuable ecosystem services under future sea level scenarios.

Tags: biosphere, continent, doc/noaa/nos/ocm, earth science, ecosystems, estuary, ma, marine ecosystems, massachusetts, national ocean service, nerrs, noaa, north america, office of coastal management, u.s. department of commerce, united states of america, waquoit bay nerr
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Evaluation of the Ecosystem Services of Shellfish Culture Operations in North Carolina - NERRS/NSC(NERRS Science Collaborative)

This project will assess the ecosystem services of shellfish farming by measuring impacts of newly established farms in the North Carolina Research Reserve. Because there is an opportunity to assess conditions before farm installation, North Carolina estuaries provide an ideal place to measure these effects. Two years of intensive sampling in and adjacent to oyster farms, concentrating on wild shellfish resources and the physical and chemical environment, will aim to link small-scale changes with larger-scale ecosystem-level alterations. Coastal managers, state agencies, and shellfish farmers will provide input throughout the course of the project to ensure that the study parameters align with decision-making needs. The project will culminate with the production of visualization tools and models to allow resource managers, culturists, and reserve staff members to make better decisions when determining the locations and scales of shellfish farming operations.

Tags: animals/invertebrates, aquaculture, aquatic sciences, biological classification, biosphere, bivalves, coastal, doc/noaa/nos/ocm, earth science, ecosystems, environmental governance/management, human dimensions, marine ecosystems, mollusks, national ocean service, nc, nerrs, noaa, north carolina nerr, oceans, office of coastal management, oysters, shellfish, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Stakeholder-Driven Modeling to Understand Oyster Population Sustainability - NERRS/NSC(NERRS Science Collaborative)

The Eastern oyster (Crassostrea virginica) is a keystone species in northeast Florida estuaries, including the Guana Tolomato Matanzas (GTM) Reserve. However, scientists, managers and oyster harvesters are concerned about the long-term persistence and viability of local populations. In the GTM Reserve, water quality issues are causing some areas to be closed for harvesting, which could be intensifying harvesting pressure in remaining open areas. Other factors, such as predation, disease, and increased salinity, can also slow growth or kill oysters.  This complicated situation recently led stakeholders and reserve staff to establish the GTM Oyster Water Quality Task Force in order to identify causes and collaboratively address the regionÃ¢ÂÂs oyster challenges.

Tags: biosphere, doc/noaa/nos/ocm, earth science, ecosystems, estuary, fl, guana tolomato mantanzas, habitat restoration, marine ecosystems, modeling, national ocean service, nerrs, noaa, office of coastal management, oyster, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Change Analysis Program (C-CAP) Regional Land Cover Data and Change Data

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S.  C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats, on a one-to-five year repeat cycle. The timeframe for this metadata is reported as 1985 - 2010-Era, but the actual dates of the Landsat imagery used to create the land cover may have been acquired a few years before or after each era.  These maps are developed utilizing Landsat Thematic Mapper imagery, and can be used to track changes in the landscape through time.  This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions. NOAA C-CAP is a contributing member to the Multi-Resolution Land Characteristics consortium and C-CAP products are included as the coastal expression of land cover within the National Land Cover Database.

Tags: alabama, california, ccap, coastal change analysis program, connecticut, delaware, doc/noaa/nos/ocm, earth science, environmental governance/management, florida, georgia, human dimensions, illinois, indiana, land cover analysis, land management, land surface, land use classes, land use land cover theme, land use/land cover, land use/land cover classification, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, national geospatial data asset, national ocean service, new hampshire, new jersey, new york, ngda, ngdaid108, noaa, north carolina, office of coastal management, ohio, oregon, parentrecords, pennsylvania, remotely sensed imagery/photos, rhode island, south carolina, texas, u.s., u.s. coastal zone, u.s. department of commerce, vermont, virginia, washington, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Change Analysis Program (C-CAP) High Resolution Land Cover and Change Data

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized high resolution land cover and change products for the coastal regions of the U.S. and its Territories.  C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats. The timeframe for this metadata is reported as 1945 - 2012.  These maps are developed utilizing various sources of commercial satellite and aerial imagery of varying resolutions, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions.

Tags: agrihan, aguijan, alamagan, anatahan, astoria, asuncion, big island, california, ccap, ccap high resolution, cnmi, coastal change analysis program, doc/noaa/nos/ocm, earth science, east manua, environmental governance/management, guam, hawaii, human dimensions, jobos bay, kahoolawe, kauai, lanai, land cover analysis, land management, land surface, land use classes, land use land cover theme, land use/land cover, land use/land cover classification, longview, maine, maug, maui, medinilla, molokai, national geospatial data asset, national ocean service, ngda, ngdaid107, niihau, noaa, oahu, office of coastal management, oregon, pagan, pajaros, parentrecords, portland, puerto rico, remotely sensed imagery/photos, rose atoll, rota, saipan, santa cruz, sarigan, st croix, st johns, st thomas, swains island, tinain, tutuila, u.s., u.s. coastal zone, u.s. department of commerce, u.s. virgin islands, washington, wells, west manua
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Collaborative Research to Manage Stormwater Impacts on Coastal Reserves - NERRS/NSC(NERRS Science Collaborative)

This project will 1) quantify pathogens, nutrients, and sediment delivery to the Rachel Carson Reserve; 2) create predictive models for shellfish and recreational waters in the North Carolina Reserve by using this information, along with decades of historical data; 3) engage stakeholders and end users to prioritize management options; and 4) engage coastal decision makers, community members, K-12 students, and teachers in hands-on education on stormwater runoff and its impacts.

Tags: atmospheric/ocean indicators, biosphere, climate indicators, coastal, doc/noaa/nos/ocm, earth science, ecosystems, environmental governance/management, environmental impacts, fresh water river discharge, human dimensions, marine ecosystems, national ocean service, nc, nerrs, noaa, ocean contaminants, oceans, office of coastal management, rachel carson nerr, sediment, stormwater, u.s. department of commerce, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GLISSNet2021

Amplicon sequence variants from benthic and zooplankton samples generated using COI primers

This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”"

Tags: amplicon-sequence-variant, biodiversity, coi, dna-monitoring, great-lakes, non-native-species, sentinel-sites, surveillance
Organization: U.S. Environmental Protection Agency
Ballast Water Oversampling

Amplicon sequence variants from ballast water samples generated with primer sets targeting 18S and COI loci

“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”"

Tags: 18s, amplicon-sequence-variant, ballast-water, biodiversity, coi, dna-monitoring, non-native-species
Organization: U.S. Environmental Protection Agency
Dataset for the manuscript "The Evaluation of a New ELISA-Based Kit for Total Microcystins as an Early Detection Tool for Microcystin Blooms in Source Waters and Its Application State-Wide to Oregon Source and Finished Drinking Waters"

Data used to create the tables and figures in manuscript PMC11861646. Citation information for this dataset can be found in Data.gov's References section.

Tags: elisa, epa-method-546, harmful-algal-bloom-hab
Organization: U.S. Environmental Protection Agency
Polychlorinated Biphenyls Mixtures Similarity Tool (MiST)

The PCB Mixtures Similarity Tool (MiST) is an Excel-based tool that automates the process for determining whether two PCB mixtures are "sufficiently similar". Humans are exposed to complex mixtures of PCBs in the environment; however, only a small subset of PCB mixtures has been tested for toxicity. MiST was developed as a tool for risk assessors to evaluate how dose-response information for tested PCB mixtures may serve as a surrogate when assessing untested mixtures found in the environment.

Tags: benchmark-dose, chemical-mixtures, childrens-environmental-health, mixture-similarity, pcb-congeners, pcbs
Organization: U.S. Environmental Protection Agency
EnviroAtlas - New Haven, CT - BenMAP Results by Block Group

This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 444 block groups in New Haven, Connecticut. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Middlesex and New Haven Counties, CT. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company 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, connecticut, ct, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, exposure, health, human well-being, impact, modeling, new haven, trees
Organization: U.S. Environmental Protection Agency
U.S. Coastal Lidar Elevation Data - Including The Great Lakes And Territories, 1996 - Present

Many different partners and groups, and several Center-led data projects, have contributed to the lidar data collection housed and distributed by the NOAA Office for Coastal Management. The data span more than two decades and were collected using many different sensors. The collection includes data from topographic and bathymetric lidar sensors. Data are available for all of the coastal states and range from shoreline strips to full county coverage. The products have been delivered to the Center in various formats, projections, datums, and units. Once received, the data are reviewed, checked for errors, and standardized to LAZ format, geographic coordinates and ellipsoid heights in meters. Data are on a NAD83 or ITRF realization depending upon the collection specifics.

Tags: airplane, bathymetry, bathymetry/seafloor topography, coastal bathymetry, continent, doc/noaa/nos/ocm, earth science, elevation theme, land surface, lidar, light detection and ranging, national geospatial data asset, national ocean service, ngda, ngdaid37, noaa, north america, oceans, office of coastal management, parentrecords, terrain elevation, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce