AndreaBozzo/ceres-open-data-index huggingface dataset:
Boulder Creek CO, USA, 2009, SETSM DEM derived from WV imagery

This dataset contains raster DEMs over Boulder Creek, CO, USA produced from WorldView-01 stereo imagery acquired on 18 September 2009 produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. The two DEMs in the dataset contain one unfiltered and one filtered with a local surfacing filter (LSF), the filtered one is labelled as such. Both were then co-registered to LiDAR following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. "Evaluation of high&#8208;resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm." Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR&#8208;1640894 to AJW. 

Organization: OpenTopography
Wainiha Valley, HI, USA, 2012, SETSM DEM derived from WV imagery

This dataset contains raster DEMs over Wainihia Valley, HI USA produced from WorldView-01 stereo imagery acquired on 21January 2012 produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. The two DEMs in the dataset contain one unfiltered and one filtered with a local surfacing filter (LSF), each are named as such. Both were then co-registered to LiDAR following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. "Evaluation of high&#8208;resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm." Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR&#8208;1640894 to AJW. 

Organization: OpenTopography
Xinmo pre/post landslide, Szechuan, China, 2012/13 and 2017, SETSM DEMs

This dataset contains raster DEMs from Xinmo Valley, Szechuan, China  pre and post landslide. produced from WorldView-02 stereo and crosstrack imagery. Pre landslide imagery was acquired on 12-Sep-2013 and 06-Dec-2012 and post-landslide stero imagery was acquired on 17-Jul-2017. DEMs were produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. Both pre and post landslide have two associated DEMs, one of which is  unfiltered and one filtered with a local surfacing filter (LSF), each are named as such. Both pre landslide DEMs were then co-registered to the post landslide imagery following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. "Evaluation of high&#8208;resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm." Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR&#8208;1640894 to AJW. 

Organization: OpenTopography
Sinabung Volcano (Indonesia), June 20, 2018

UAS oblique optical image survey of Sinabung Volcano, North Sumatra, Indonesia. Dataset contains UAS images and the dense point cloud and DEM produced by structure-from-motion processing with Agisoft Metashape. Survey conducted on June 20, 2018 using a DJI Matric 210 UAS and DJI Zenmuse X4S optical camera.  Two UAS flights from different launch locations, flown approximately 45 minutes apart, were used to collect the images. Final model used 454 images. Dataset used for manuscript currently under review in Frontiers in Earth Science. 

Organization: OpenTopography
Coyote Mountains CA, USA, 2016, SETSM DEM derived from WV imagery

This dataset contains raster DEMs over Coyote Mountains, CA USA produced from WorldView-01 stereo imagery acquired on 21July 2016 produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. The two DEMs in the dataset contain one unfiltered and one filtered with a local surfacing filter (LSF), each are named as such. Both were then co-registered to LiDAR following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. "Evaluation of high&#8208;resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm." Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR&#8208;1640894 to AJW. 

Organization: OpenTopography
Carrizo Plains CA, USA, 2012, SETSM DEM derived from WV imagery

This dataset contains raster DEMs over Carrizo Plains, CA USA produced from WorldView-01 stereo imagery acquired on 30 October 2012 produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. The two DEMs in the dataset contain one unfiltered and one filtered with a local surfacing filter (LSF), each are named as such. Both were then co-registered to LiDAR following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. "Evaluation of high&#8208;resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm." Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR&#8208;1640894 to AJW. 

Organization: OpenTopography
H12109: NOS Hydrographic Survey , San Fransisco Bay, California, 2009-07-02

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: 10 nautical miles west of golden gate, acoustic sounders, bathymetry, bathymetry/seafloor topography, california, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, gulf of the farallones, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Secondary data for study on the Impact of Hurricane Katrina on Southern Louisiana

Only secondary data was used for this study on the impact of Hurricane Katrina on Southern Louisiana   The data sets  include: land-cover data for Louisiana, social and economic variables for New Orleans and avian species abundance data gathered from the NOAA Coastal Change Analysis Program, US Census and USGS North American Breeding Bird Survey, respectively. 

This dataset is associated with the following publication:
Chuang, W., T. Eason, A. Garmestani, and C. Roberts. Impact of Hurricane Katrina on the Coastal Systems of Southern Louisiana.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 7(68): 01-15, (2019).

Tags: complex-systems, disaster-resilience, environmental-change, governance, hurricane-katrina, law-and-policy, leading-indicators, natural-hazards, new-orleans, resilience, social-ecological-resilience
Organization: U.S. Environmental Protection Agency
Data for Volatile Chemical Product Enhancements to Criteria Pollutants in the United States

Data includes CMAQ code, CMAQ output, analysis scripts, CMAQ emission inputs, and VCPy emission framework code.

Tags: intermediate-volatility-organic-compounds-ivocs, ozone, pm2-5, secondary-organic-aerosol-soa, semi-volatile-organic-compounds-svocs, volatile-chemical-product-vcp, volatile-organic-compounds
Organization: U.S. Environmental Protection Agency
Ozone-induced Changes in Oxidative Stress Parameters in Brain regions of Adult, Middle-age, and Senescent Brown Norway Rats

This data set was used for the manuscript titled "Ozone-induced Changes in Oxidative Stress Parameters in Brain regions of Adult, Middle-age, and Senescent Brown Norway Rats". It includes various biochemical endpoints and neurobehavior. 

This dataset is associated with the following publication:
Kodavanti, P.R., M. Valdez, J. Richards, D. Agina-Obu, P. Phillips, K. Jarema, and U. Kodavanti. Ozone-induced changes in oxidative stress parameters in brain regions of adult, middle-age, and senescent Brown Norway rats.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 410: 115351, (2020).

Tags: gcs, glutamylcysteine-synthetase, glutathione, glutathione-transferease, gsh, gst, nadh-ubiquinone-reductase, nadph-quinone-oxidoreductase, nqo1, o3, oxidative-stress, ozone, sod, superoxide-dismutase, tas, total-antioxidant-substances, ubiq-rd
Organization: U.S. Environmental Protection Agency
Datasets for manuscript "COW2NUTRIENT: An environmental GIS-based decision support tool for the assessment of nutrient recovery systems in livestock facilities."

https://github.com/gruizmer/COW2NUTRIENT/tree/master/ToolPaper_DataFiles
* These folders supply supporting datasets for the manuscript "COW2NUTRIENT: An environmental GIS-based decision support tool for the assessment of nutrient recovery systems in livestock facilities." 
* The datasets are recorder as comma-separated values (.csv) and Microsoft Excel® (.xlsx) files. Column data entries have names and units. Some data are about animal facility population and location, amount of nutrient-rich waste generated (kg/yr), amount of nutrient recovered (kg P/yr), installing, capital, and maintenance costs (USD), technologies and their ranking and frequency of being selected for each combination of normalization-aggregation methods, average chlorophyll-a concentration in water in the watershed (ug/L), and average phosphorus concentration in water in the watershed (ug/L). 
* The folder “Manuscript” has subfolders with datasets for creating manuscript Figures 4, 8, 9, and 10 as well as datasets for Tables 9 and 10. 
* The folder “Supplementary Material” holds subfolders with datasets for creating Supplementary Material Figures 1-5, 8, 9, 11, and 12. 

This dataset is associated with the following publication:
Martin-Hernandez, E., M. Martin, and G.J. Ruiz-Mercado. A geospatial environmental and techno-economic framework for sustainable phosphorus management at livestock facilities.   Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam,  NETHERLANDS, 175: 105843, (2021).

Tags: energy-recovery, geospatial-environmental-sensitivity, harmful-algal-bloom-hab, livestock-facility, modeling-and-optimization, multi-criterion-decision-making-analysis, nutrient-legacy, nutrient-loading, nutrient-pollution, organic-waste, quantitative-indicators, supply-chain, sustainability-analysis, techno-economic-models
Organization: U.S. Environmental Protection Agency
Wildfire_streams_Dataset

Wildfire effects on Stream discharge and suspended sediments. 

This dataset is associated with the following publication:
Beyene, M.T., S.G. Leibowitz, and M.J. Pennino. Parsing Weather Variability and Wildfire Effects on the Post-Fire Changes in Daily Stream Flows: A Quantile-Based Statistical Approach and Its Application.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 57(10): e2020WR028029, (2021).

Tags: ecological-condition-assessment, extremes, probabilistic-risk-assessment, stream-water-quality, streamflow, water-infrastructure, wildfires
Organization: U.S. Environmental Protection Agency
Datasets for manuscript "A data engineering framework for chemical flow analysis of industrial pollution abatement operations"

The EPA GitHub repository PAU4ChemAs as described in the README.md file, contains Python scripts written to build the PAU dataset modules (technologies, capital and operating costs, and chemical prices) for tracking chemical flows transfers, releases estimation, and identification of potential occupation exposure scenarios in pollution abatement units (PAUs). These PAUs are employed for on-site chemical end-of-life management. The folder datasets contains the outputs for each framework step. The Chemicals_in_categories.csv contains the chemicals for the TRI chemical categories. 
The EPA GitHub repository PAU_case_study as described in its readme.md entry, contains the Python scripts to run the manuscript case study for designing the PAUs, the data-driven models, and the decision-making module for chemicals of concern and tracking flow transfers at the end-of-life stage. The data was obtained by means of data engineering using different publicly-available databases. The properties of chemicals were obtained using the GitHub repository Properties_Scraper, while the PAU dataset using the repository PAU4Chem.
Finally, the EPA GitHub repository Properties_Scraper contains a Python script to massively gather information about exposure limits and physical properties from different publicly-available sources: EPA, NOAA, OSHA, and the institute for Occupational Safety and Health of the German Social Accident Insurance (IFA).       
Also, all GitHub repositories describe the Python libraries required for running their code, how to use them, the obtained outputs files after running the Python script modules, and the corresponding EPA Disclaimer. 

This dataset is associated with the following publication:
Hernandez-Betancur, J.D., M. Martin, and G.J. Ruiz-Mercado. A data engineering framework for on-site end-of-life industrial operations.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 327: 129514, (2021).

Tags: chemical-manufacturing, chemical-releases, chemical-safety-for-sustainability, data-engineering, life-cycle-environmental-assessment, life-cycle-inventory, on-site-end-of-life, pollution-abatement-unit
Organization: U.S. Environmental Protection Agency
Data to assess reduction of nonpoint source nutrients in estuaries (Newport Bay, CA; Roberts Bay, FL; and Peconic Estuary, NY)

The manuscript assembled data from existing sources (summarized below) to assess water quality improvements in three estuaries (Peconic Estuary (NY), Roberts Bay (FL), and Newport Bay (CA) associated with reduction of nonpoint sources of nutrients.  No EPA generated data in this manuscript, only secondary sources. 

This dataset is associated with the following publication:
Green, L., C. Magel, and C.A. Brown. Management pathways for the successful reduction of nonpoint source nutrients in coastal ecosystems.   Regional Studies in Marine Science. Elsevier B.V., Amsterdam,  NETHERLANDS, 45: 101851, (2021).

Tags: eutrophication, macroalgae, nutrient-pollution-index, nutrients, seagrass, temperature, wasting-disease, zostera-japonica, zostera-marina
Organization: U.S. Environmental Protection Agency
Coral Reef Final Ecosystem Goods and Services translated into biophysical metrics

Translation of final ecosystem goods and services for coral reefs to identify biophysical metrics relevant to people and their well-being. 

This dataset is associated with the following publication:
Santavy, D., C. Horstmann, L. Sharpe, S. Yee, and P. Ringold. What is it about coral reefs? Translation of ecosystem goods and services relevant to people and their well-being.   Ecosphere. ESA Journals,    12(8): e03639, (2021).

Tags: biophysical-metrics, coral-reefs-beneficiaries, final-ecosystem-goods-and-services-fegs, human-benefits, translation-egs-metrics
Organization: U.S. Environmental Protection Agency
Additional Heat Mortality by County: 2085-2095

This dataset describes projected additional heat-related mortality by county for the years 2085 to 2095 relative to 1995-2005 under scenarios of climate and population change. 

This dataset is associated with the following publication:
Morefield, P., N. Fann, A. Grambsch, W. Raich, and C. Weaver. Heat-Related Health Impacts under Scenarios of Climate and Population Change..   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 15(11): 2438, (2018).

Tags: climate-change, future-scenarios, human-health, population
Organization: U.S. Environmental Protection Agency
PMF source apportionment model dataset inputs and outputs for 10 IMPROVE monitoring sites with data from 2009 to 2018.

PMF source apportionment model dataset inputs and outputs for 10 IMPROVE monitoring sites with data from 2009 to 2018. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: commercial-marine-vessels, improve, pm2-5, pmf, source-apportionment
Organization: U.S. Environmental Protection Agency
Raw data for understanding microbial loads in wastewater treatment works as source water for water reuse

This dataset includes all the raw data of various microorganisms in wastewater influent and effluent samples from three participating reclaimed water plants. Additionally, box plots used for the peer-reviewed journal article were presented. 

This dataset is associated with the following publication:
Ryu, H., Y. Addor, N. Brinkman, M. Ware, L. Boczek, J. Hoelle-Schwalbach, J. Mistry, S. Keely, and E. Villegas. Understanding microbial loads in wastewater treatment works as source water for water reuse..   WATER. MDPI AG, Basel,  SWITZERLAND, 13(11): 1452, (2021).

Tags: microbial-loads, water-reuse, waterborne-pathogens
Organization: U.S. Environmental Protection Agency
3D Printer Emissions Base Data for 3D Printer Particle Emissions: Translation to Internal Dose in Adults and Children 060619-061019

This dataset contains the raw data output from measurements of 3D printer emissions using both ABS and PLA feedstocks. 

This dataset is associated with the following publication:
Byrley, P., W. Boyes, K. Rogers, and A. Jarabek. 3D Printer Particle Emissions: Translation to Internal Dose in Adults and Children..   JOURNAL OF AEROSOL SCIENCE. Elsevier Science Ltd, New York, NY, USA, 154: 105765, (2021).

Tags: 3d-printer, ultrafine-particle-emissions
Organization: U.S. Environmental Protection Agency
H12841: NOS Hydrographic Survey , 2015-10-24

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: 23 miles east of currituck beach, acoustic sounders, approaches to chesapeake bay, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, north carolina, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12812: NOS Hydrographic Survey , 2015-08-05

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, ak, alaska, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, entrance to kotzebue sound, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, kotzebue sound, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce