-
Federal
Global Ecology Coral reef Dataset (Sully et al. 2019)
U.S. Environmental Protection Agency —
The link provides access to a github repository for the Institute for Global Ecology which contains a publicly accessible dataset for variables that characterize the... -
Federal
U.S. Scaled WARM Waste Management by Sector and Material, 2018 v1.3.2
U.S. Environmental Protection Agency —
Scaled WARM is a direct impacts model of GHG emissions, Employment, Wages, and Taxes attributed to material-specific waste management pathways. The waste management... -
Federal
CMAQ data for Ann Arbor in support of Secondary Ammonium Nitrate Formation on Individual Residential Wood Burning Aerosol in Wintertime Urban Atmosphere
U.S. Environmental Protection Agency —
Predictions from the CMAQ model as used in EQUATES for Ann Arbor, Michigan in February and March 2016. Data was used in Andrew L. Holen, Kristen M. Foley, Havala O.T.... -
Federal
2016 U.S. Electricity Generation Air Emissions, Hazardous Waste and Steam Emission Factors by Subregion
U.S. Environmental Protection Agency —
This dataset contain records factors for emissions and releases of chemicals to air, water and ground, waste generation, from electricity generation, All values are... -
Federal
Phoenix-as-a-Testbed for Air Quality Sensors (P-TAQS) Dataset used in exploring the Seasonal Effects in the Application of the MOMA Remote Calibration Tool to Outdoor PM2.5 Air Sensors
U.S. Environmental Protection Agency —
Maricopa County partnered with EPA Office of Research and Development to evaluate the utility of sensors to capture wood burning episodes. For this study, PM2.5... -
Federal
NYC STEW-MAP Staten Island organizations' website hyperlink webscrape
U.S. Environmental Protection Agency —
The data represent web-scraping of hyperlinks from a selection of environmental stewardship organizations that were identified in the 2017 NYC Stewardship Mapping and... -
Federal
Multi-pollutant BenMAP Analysis Data
U.S. Environmental Protection Agency —
Air quality data for Georgia for the years 2011 and 2025 for the pollutants: CO, EC, NH4, NO2, NO3-, O3, OC, PM2.5, SO2, SO4, and Secondary PM2.5. In addition the... -
Federal
Combustion of C1 and C2 PFAS: Figures 1 and 2
U.S. Environmental Protection Agency —
This dataset includes values used to generate Figure 1, 2, and 3 in the manuscript. Figure 1 is a diagram of the incinerator with residence times and associated... -
Federal
Emissions data from the pilot-scale combustion of perfluorocarboxylic acids
U.S. Environmental Protection Agency —
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,... -
Federal
Enhanced Susceptibility of Methylmercury Bioaccumulation into Seston of the Laurentian Great Lakes
U.S. Environmental Protection Agency —
Data were created in order to examine mercury concentrations, cycling, and biotic transfer in the Great Lakes and is in response to mercury concentrations in fish... -
Federal
Data for New Aerosol Dry Deposition Model
U.S. Environmental Protection Agency —
Fig1-needleleaf forest.txt contains all the observation data with each reference given for figure 1. The deposition velocity vd and diameter dp are shown in ordered... -
Federal
NARS Hydrologic Data
U.S. Environmental Protection Agency —
Lake hydrologic characteristics derived from water stable isotope values that include evaporation-to-inflow ratio and water residence time. This dataset is associated... -
Federal
Fenceline VOC measurements using mobile platforms_SDMP.FY25.74.0
U.S. Environmental Protection Agency —
This dataset contains final data for the manuscript titled "Comparing short-term volatile organic compound measurements in fenceline environments using multiple... -
Federal
Zinc x-ray absorption spectroscopy (XAS) data and speciation modelling by linear combination fitting (LCF) with standard spectra
U.S. Environmental Protection Agency —
Soil samples were collected from the remediated site according to methods included in the manuscript. Soil samples were prepared by grinding in mortar and pestle and... -
Federal
A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species
U.S. Environmental Protection Agency —
Data and code for "Dawson, D.E.; Lau, C.; Pradeep, P.; Sayre, R.R.; Judson, R.S.; Tornero-Velez, R.; Wambaugh, J.F. A Machine Learning Model to Estimate Toxicokinetic... -
Federal
Embodied material flow and GHG emission factors for U.S. imports derived from the GLORIA model: 2017-2022
U.S. Environmental Protection Agency —
The dataset provides a set of Import Emission Factors (IEF) for USEEIO models developed using the GLORIA v059a model. The dataset accompanies Addendum 2 "Import... -
Federal
Data for satellites predict lakes at risk from cyanobacteria and microcystin toxins
U.S. Environmental Protection Agency —
Data for analysis for modeling probability of measuring microcystin toxin, cyanobacteria cell abundance, and chlorophyll a concentration in ~2,200 lakes based on... -
Federal
Geographical and Seasonal Patterns in the Carbonate Chemistry of Narragansett Bay, RI
U.S. Environmental Protection Agency —
This data comprises geographical and seasonal patterns in water quality and carbonate chemistry parameters in Narragansett Bay, RI, USA. Direct measurements of... -
Federal
Assessing PM2.5 Model Performance for the Conterminous U.S. with Comparison to Model Performance Statistics from 2007-2015
U.S. Environmental Protection Agency —
Dataset includes links to CMAQ codes, evaluation of model predictions against network data, and additional supporting information. This dataset is associated with the... -
Federal
Datasets to develop and validate the genus-level, trait-based multimetric diatom indices for assessing the ecological condition of river and stream across the conterminous United States
U.S. Environmental Protection Agency —
Data is from National Aquatic Resource Surveys. This dataset is associated with the following publication: Riato, L., R. Hill, A. Herlihy, D. Peck, P. Kaufmann, J....