49 datasets found for "ONC Sheet Data Quality"
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Federal
Fitted Filtration Efficiency of Commonly Worn Disposable Respirators and Ear-loop Masks
U.S. Environmental Protection Agency —
The fitted filtration efficiency of the most commonly worn disposable respirators and ear loop masks as measured using condensation particle counters. -
Federal
CAIRSENSE-Atlanta Low Cost Sensor Evaluation Versus Reference Monitors
U.S. Environmental Protection Agency —
Short time interval comparisons of low cost sensor response and corresponding Federal Reference or Federal Equivalent Monitors at an NCOR site located in proximity to... -
Federal
LVdata 05182016 on-road estimates
U.S. Environmental Protection Agency —
Meteorological and concentration data at the Las Vegas I-15 monitoring site. This dataset is associated with the following publications: Richmond-Bryant, J., M.... -
Federal
Coupling the dual-isotope indicators of water and nitrate indicates legacy groundwater pollution
U.S. Environmental Protection Agency —
Shallow groundwater samples were collected since 2006 for routine analysis by ODEQ from 16 domestic wells (installation dating from the 1970s) and 23 ODEQ groundwater... -
Federal
Species sulfur sulfate raw data
U.S. Environmental Protection Agency —
Measurements of water sulfate concentrations at the beginning and end of the exposures of the animals, initial δ(34S/32S) ratios in the animals at the beginning and... -
Federal
Chicago TW II Manuscript Data
U.S. Environmental Protection Agency —
A single excel file describes data from the manuscript entitled In vitro effects-based method and water quality screening model for use in pre- and post-distribution... -
Federal
Assessing the Impact of Overburden Materials Selection from an Appalachian Region Coal Mine in Mine Water Quality Using a Standard Columns Leaching Test
U.S. Environmental Protection Agency —
The objective of this study was to evaluate the leachate conductivity generated by overburden materials in a columns test representing the surface coal mining... -
Federal
Data: A Methodology for Designing a Roof Rainwater Quality Sensing-Recording-Grading System Using Low-Cost Sensors Paired with Microcontroller Software
U.S. Environmental Protection Agency —
The data presented in this study are openly available within the manuscript and its Supporting Information Files. The quality assurance project plan (QAPP), the... -
Federal
Data used in the research titled, "Quantifying the visual-sensory landscapes qualities that contribute to cultural ecosystem services using social media and LiDAR"
U.S. Environmental Protection Agency —
Sample1m are the data used to estimate the Negative Binomial models. The validation dataset compares classified photographs with viewshed estimates of visible land... -
Federal
Determining the utility of regression-based CO:NOx ratios for emissions validation in a near-road environment
U.S. Environmental Protection Agency —
Datasets used in the analysis presented in the manuscript “Determining the utility of regression-based CO:NOx ratios for emissions validation in a near-road... -
Federal
Village Green Project station data - March 2015
U.S. Environmental Protection Agency —
The data sets include the Village Green Project station time series, including air pollutant concentrations, meteorology data, and diagnostic data from... -
Federal
Data from: Long-Term Agroecosystem Research in the Central Mississippi River Basin: Goodwater Creek Experimental Watershed and Regional Herbicide Water Quality Data
Department of Agriculture —
The GCEW herbicide data were collected from 1991-2010, and are documented at plot, field, and watershed scales. Atrazine concentrations in Goodwater Creek... -
Federal
Pinones VESPER SciHUB
U.S. Environmental Protection Agency —
The data is described by the Excel sheet tab names. For example, the first Sheet "Treatment designation" shows whether the sample came from a classroom that received... -
Federal
Data from: Large subsurface carbon stocks in a long-term no-tillage site are vulnerable to potential mineralization
Department of Agriculture —
This dataset includes laboratory incubations of soils from the R.J. Cook Agronomy Farm Long-term Agroecosystem Research site in Pullman, Washington. The purpose of... -
Federal
APIS 2017 survey dataset concerning Dreissena veligers and supporting environmental data
U.S. Environmental Protection Agency —
An excel file where each row is a sample station and columns provide station descriptors, number and density of Dreissena veligers in the zooplankton samples,... -
Federal
Data from: Mapping the Quantitative Field Resistance to Stripe Rust in a Hard Winter Wheat Population ‘Overley’ × ‘Overland’
Department of Agriculture —
Data reported in research published in Crop Science, “Mapping the quantitative field resistance to stripe rust in a hard winter wheat population ‘Overley’ ×... -
Federal
San Juan Watershed Lead Isotope Data
U.S. Environmental Protection Agency —
The U.S. Environmental Protection Agency characterized sediments and seeps/springs in the San Juan watershed located in southwestern Colorado and the four corners... -
State
Poverty Rate (<200% FPL) and Child (under 18) Poverty Rate by California Regions
State of California —
This table contains data on the percentage of the total population living below 200% of the Federal Poverty Level (FPL), and the percentage of children living below... -
Federal
USDA Legacy P project: P lability in soils and sediments
Department of Agriculture —
The USDA Legacy Phosphorus Project seeks to leverage watershed research with USDA NRCS (Natural Resource Conservation Service) and USDA ARS (Agricultural Research... -
Federal
Response of Chlorophyll a to Total Nitrogen and Total Phosphorus - RepOrting standards for Systematic Evidence Syntheses in environmental research (ROSES) for Systematic Review Reports 12 March 2021
U.S. Environmental Protection Agency —
Additional files associated with the published article in Environmental Evidence. The ROSES form is a checklist of details that should be reported in systematic...
49 datasets found for "ONC Sheet Data Quality"