AndreaBozzo/ceres-open-data-index huggingface dataset:
DriLube VOC Concentrations, Pressure & Vacuum Readings and Metadata

There are 3 main databases.  #1 is the VOC concentrations of soil gas and indoor air samples collected over the site.  #2 is the pressure readings used to monitor the pressure differential between subslab and indoor air.  #3 is the vacuum reading used to monitor effectiveness, strength, and reach of vacuum created during the SVE operation. 

This dataset is associated with the following publication:
Schumacher, B., J. Zimmerman, C. Lutes, R. Truesdale, and C.W. Holton. Key Design Elements of Building Pressure Cycling for Evaluating Vapor Intrusion—A Literature Review.   Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 39(1): 66-72, (2019).

Tags: pce, remediation, soil-vapor-extraction, tce, volatile-organic-compounds
Organization: U.S. Environmental Protection Agency
Puerto Rico Soil Science paper

data required to set up SWAT model as well as SWAT model outputs for runoff and sediment. 

This dataset is associated with the following publication:
Yuan, Y., W. Hu, and G. Li. Evaluation of Soil Erosion and Sediment Yield From Ridge Watersheds Leading to Guánica Bay, Puerto Rico, Using the Soil and Water Assessment Tool Model.   Soil Science. Lippincott Williams & Wilkins, Philadelphia, PA, USA, 18(7): 315-325, (2016).

Tags: coffee-farming, dem, land-use, puerto-rico, ridge-watersheds, sediment-yield, soil, soil-erosion, sustainability, swat, weather
Organization: U.S. Environmental Protection Agency
Datasets used in ORD-023408: A Gene Expression Biomarker Identifies Chemicals and Other Factors That Modulate Sterol Regulatory Element Binding Protein (SREBP) Highlighting Differences in Targeted Regulation of Cholesterogenic and Lipogenic Genes

Datasets used in ORD-023408: A Gene Expression Biomarker Identifies Chemicals and Other Factors That Modulate Sterol Regulatory Element Binding Protein (SREBP) Highlighting Differences in Targeted Regulation of Cholesterogenic and Lipogenic Genes. 

This dataset is associated with the following publication:
Rooney, J., B. Chorley, and C. Corton. A gene expression biomarker identifies factors that modulate sterol regulatory element binding protein.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 10: 63-77, (2019).

Tags: cholesterol-synthesis, fatty-acid-synthesis, fatty-liver-disease, gene-expression-omnibus-accession-numbers, microarray, steatosis, sterol-regulatory-element-binding-protein
Organization: U.S. Environmental Protection Agency
EPA Porewater Data in saltwater intrusion freshwater marsh carboon cycling MS

Soil pore water data (N and P chemistry data) from a field experiment examining salt water intrusion effects on freshwater tidal marshes, 

This dataset is associated with the following publication:
Herbert, E., J. Schubauer-Berigan, and C. Craft. Differential effects of chronic and acute simulated seawater intrusion on tidal freshwater marsh carbon cycling.   BIOGEOCHEMISTRY. Springer, New York, NY, USA, 138: 137-154, (2018).

Tags: salt-water-intrusion, tidal-marshes
Organization: U.S. Environmental Protection Agency
Data Set Description for Hyperspectral Imagery

The data set description provides a detail account of the type of data that is used within the peer-reviewed literature. The data involves special instrumentation, such as hyperspectral imaging cameras to develop thousands of pixels, which form images, like on a television screen. Other data is used to develop absorbance spectra from infrared spectrometers and compared to reference data to confirm the presence of a desired, tested chemical. 

This dataset is associated with the following publication:
Baseley, D., L. Wunderlich, G. Phillips, K. Gross, G. Perram, S. Willison, M. Magnuson, S. Lee, R. Phillips, and W. Harper Jr.. Hyperspectral Analysis for Standoff Detection of Dimethyl Methylphosphonate on Building Materials  [HS7.52.01].   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA,  135-142, (2016).

Tags: chemical-detection, hyperspectral-imagery, large-area-survey, pesticides
Organization: U.S. Environmental Protection Agency
Greenhouse gas emissions from lakes and reservoirs. MS in review.

Reported carbon dioxide, methane, and nitrous emission rates from lakes and reservoirs across the globe. 

This dataset is associated with the following publication:
DelSontro, T., J. Beaulieu, and J. Downing. Greenhouse gas emissions from lakes and impoundments: upscaling in the face of global change.   Limnology and Oceanography Letters. John Wiley & Sons, Inc., Hoboken, NJ, USA, 3(3): 64-75, (2018).

Tags: lakes, methane, reservoirs
Organization: U.S. Environmental Protection Agency
Source Strength Functions from Long-Term Monitoring Data and Spatially Distributed Mass Discharge Measurements

Source strength functions (SSF), defined as contaminant mass discharge or flux-averaged concentration from dense nonaqueous phase liquid (DNAPL) source zones as a function of time, provide a quantitative model of DNAPL source-zone behavior.  Such information is useful for making site management decisions.  We investigate the use of historic data collected during long-term monitoring (LTM) activities at a site in Rhode Island to predict the SSF based on temporal mass discharge measurements at a fixed location, as well as SSF estimation using mass discharge measurements at a fixed time from three spatially distributed control planes.  Mass discharge based on LTM data decreased from ~300 g/day in 1996 to ~70 g/day in 2012 at a control plane downgradient of the suspected DNAPL source zone, and indicates an overall decline of ~80% in 16 years.  These measurements were compared to current mass discharge measurements across three spatially distributed control planes.  Results indicate that mass discharge increased in the downgradient direction, and was ~6 g/day, ~37 g/day, and ~400 g/day at near, intermediate, and far distances from the suspected source zone, respectively.  This behavior was expected given the decreasing trend observed in the LTM data at a fixed location.  These two data sets were compared using travel time as a means to plot the data sets on a common axis.  The similarity between the two data sets gives greater confidence to the use of this combined data set for site-specific SSF estimation relative to either the sole use of LTM or spatially distributed data sets. 

This dataset is associated with the following publication:
Brooks, M.C., A.L. Wood, J. Cho, C.A.P. Williams, B. Brandon, and M.D. Annable. Source strength functions from long-term monitoring data and spatially distributed mass discharge measurements.   JOURNAL OF CONTAMINANT HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 219: 28-39, (2018).

Tags: long-term-monitoring-data, mass-discharge, mass-flux, passive-flux-meters, source-strength-function, source-zone-characterization
Organization: U.S. Environmental Protection Agency
LCF datatables for Cd speciation distribution

Linear combination datatables showing the distribution of Cd speciation upon sorption to biochar. 

This dataset is associated with the following publication:
Cuj, L., M. Noerpel, K. Scheckel, and J. Ippolito. Wheat straw biochar reduces environmental cadmium bioavailability.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 126: 69-75, (2019).

Tags: bcr-method, biochar-bc, cadmium, contaminated-paddy-soil, synchrotron-speciation, x-ray-absorption-spectroscopy
Organization: U.S. Environmental Protection Agency
Dataset for Outdoor air emissions, land use, and land cover around schools on U.S. tribal lands

Data gathered from 35 published references (until 2016) targeting built and natural environment stressors for American Indian/Alaska Native children. 

This dataset is associated with the following publication:
Barros, N., N. Tulve, K. Bailey, and D. Heggem. Outdoor Air Emissions, Land Use, and Land Cover around Schools on Tribal Lands.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 16(1): 36, (2019).

Tags: air-pollution, american-indian-alaska-native, children, land-cover, land-use, school
Organization: U.S. Environmental Protection Agency
Meteorological input data for Cai et al. manuscript "Development of a Semi-mechanistic allergenic pollen emission model."

This dataset consists of output from the Meteorology-Chemistry Input Processor (MCIP), which is used to prepare meteorological data in the format needed for the Community Multiscale Air Quality (CMAQ) model. The Rutgers team has created a module that simulates emissions from two species of pollen using meteorological data in this format. 

This dataset is associated with the following publication:
Cai, T., Y. Zhang, X. Ren, L. Bielory, Z. Mi, C. Nolte, Y. Gao, R. Leung, and P. Georgopoulos. Development of a semi-mechanistic allergenic pollen emission model.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 653: 947-957, (2019).

Tags: air-quality, cmaq, model-evaluation, wrf
Organization: U.S. Environmental Protection Agency
Characterizing grassland fire activity in the Flint Hills region and air quality using satellite and ground based ambient data

Data sets used in the analysis presented in the manuscript “Characterizing grassland fire activity in the Flint Hills region and air quality using satellite and routine surface monitor data”.  The datasets used for the analysis include data from routine monitor networks located in the central U.S., satellite fire detection data, and burn area estimates. The data supporting each of the Figures in the manuscript are provided in a file specific for that Figure, so there is one file for each Figure. Each file is in comma-separated value (csv) format and contains observation data used to generate that Figure. Meta data on what is included in each file is provided in the Data Dictionary. 

This dataset is associated with the following publication:
Baker, K., S. Koplitz, K. Foley, L. Avey, and A. Hawkins. Characterizing grassland fire activity in the Flint Hills region and air quality using satellite and routine surface monitor data.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 659: 1555-1566, (2019).

Tags: air-quality-modeling, biomass-burning, cmaq, emissions, wildland-fire
Organization: U.S. Environmental Protection Agency
Raw benthic macroinvertebrate enumeration data for ms concerning methods of taxonomic postprocessing

This file has a listing of benthic macroinvertebrate taxa found in samples collected from coastal waters of Isle Royale and Chequamegon Bay (both in Lake Superior) in 2012 and 2013 respectively, 

This dataset is associated with the following publication:
Meredith, C., A. Trebitz, and J. Hoffman. Post-processing of aquatic biodiversity data collected at multiple levels of resolution:  Implications for estimates of taxa richness, abundance, and rarefaction curves.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  98: 137-148, (2019).

Tags: aquatic-invasive-species, aquatic-macroinvertebrates, great-lakes, taxonomy
Organization: U.S. Environmental Protection Agency
Use of carbon isotopic ratios in nontargeted analysis to screen for anthropogenic compounds in complex environmental matrices

Carbon stable isotopic ratios. 

This dataset is associated with the following publication:
Washington, J., C. Rosal, E. Ulrich, and T. Jenkins. Use of carbon isotopic ratios in nontargeted analysis to screen for anthropogenic compounds in complex environmental matrices.   JOURNAL OF CHROMATOGRAPHY A. Elsevier Science Ltd, New York, NY, USA, 1583: 73-79, (2019).

Tags: anthropogenic-compounds, complex-environmental-samples, isotopic-ratios, nontargeted-analysis
Organization: U.S. Environmental Protection Agency
Tillamook Bay Clam Habitat Suitability Index (HSI) Model Output

Using existing habitat datasets and natural-history traits, we created a Habitat Suitability Index (HSI) model in ArcGIS to determine the distribution of suitable habitat for harvested clams in Tillamook Bay.  Existing habitat datasets were used to interpolate value estimates throughout the bay for the four input habitat variables used in the model (sediment % fines, bathymetry, salinity, and burrowing shrimp presence).  Natural history traits (derived from literature) were then used to assign binary suitability values to each habitat variable for each species.  The suitability sum of these variable layers then produced an overall HSI value of 0-4 (low-high).  To validate this model, we used existing bivalve (presence/absence) data to calculate presence probabilities.  Included in this dataset are these bivalve data, along with the habitat estimates and suitability values produced by our model. 

This dataset is associated with the following publication:
Lewis, N., E. Fox, and T. DeWitt. Estimating the distribution of harvested estuarine bivalves with natural-history-based habitat suitability models...   ESTUARINE, COASTAL AND SHELF SCIENCE. Elsevier Science Ltd, New York, NY, USA, 219: 453-472, (2019).

Tags: bathymetry, behavior, burial, cockle, ecosystem-services, eutrophication, green-macroalgae, gull, harvest, nutrient-enrichment, oregon, salinity, sediment, shrimp, ulva-spp
Organization: U.S. Environmental Protection Agency
Yaquina Bay Clam Habitat Suitability Index (HSI) Model Output

Using existing habitat datasets and natural-history traits, we created a Habitat Suitability Index (HSI) model in ArcGIS to determine the distribution of suitable habitat for harvested clams in Yaquina Bay.  Existing habitat datasets were used to interpolate value estimates throughout the bay for the four input habitat variables used in the model (sediment % fines, bathymetry, salinity, and burrowing shrimp presence).  Natural history traits (derived from literature) were then used to assign binary suitability values to each habitat variable for each species.  The suitability sum of these variable layers then produced an overall HSI value of 0-4 (low-high).  To validate this model, we used existing bivalve (presence/absence) data to calculate presence probabilities.  Included in this dataset are these bivalve data, along with the habitat estimates and suitability values produced by our model. 

This dataset is associated with the following publication:
Lewis, N., E. Fox, and T. DeWitt. Estimating the distribution of harvested estuarine bivalves with natural-history-based habitat suitability models...   ESTUARINE, COASTAL AND SHELF SCIENCE. Elsevier Science Ltd, New York, NY, USA, 219: 453-472, (2019).

Tags: bathymetry, behavior, burial, cockle, ecosystem-services, eutrophication, green-macroalgae, gull, harvest, nutrient-enrichment, oregon, salinity, sediment, shrimp, ulva-spp
Organization: U.S. Environmental Protection Agency
Legionella-biofilm dataset

Water quality measurements, disinfectant decay during experiments, raw data, qPCR data. 

This dataset is associated with the following publication:
Buse, H., J. Szabo, B. Morris, and I. Struewing. Chlorine and monochloramine disinfection of Legionella pneumophila colonizing copper and PVC drinking water biofilms.   APPLIED AND ENVIRONMENTAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA,  1-33, (2019).

Tags: biofilms, chlorine, copper, disinfection, drinking-water, legionella, monochloramine, pvc
Organization: U.S. Environmental Protection Agency
Raw data for seed germination study with biochar and 8 plant species.

Biochar is being evaluated as an amendment to improve soil characteristics to increase crop yields, revitalize degraded soils and facilitate the establishment of plant cover. Unfortunately, there are few rapid tests to determine potential effects of biochar on soil and associated plant responses. Seed germination (emergence of hypocotyl) is a critical parameter for plant establishment and may be a rapid indicator of biochar effects. We adapted Oregon State University Seed Laboratory procedures to develop a “rapid-test” to screen for effects of biochar on seed germination and soil characteristics. Soils were amended with 1% biochar by weight and placed in 11.0 cm square x 3.5 cm deep containers fitted with premoistened blotter paper. Seeds were placed in a uniform 5 x 5 pattern and covered with 15 g of the soil-biochar mixtures. Two South Carolina Coastal Plain soils, the Norfolk (Fine-loamy, kaolinitic, thermic Typic Kandiudults) and Coxville (Fine, kaolinitic, thermic Typic Paleaquults), were used. Eighteen biochars were evaluated produced from 6 feedstocks [pine chips (PC), poultry litter (PL), swine solids (SS), switchgrass (SG); and two blends of PC and PL, 50% PC/50% PL (55), and 80% PC/20% PL (82).  For each feedstock biochars were made by pyrolysis at 350, 500 and 700°C for 1-2 hours.  Percent germination and shoot dry weight were evaluated for cabbage, carrot, cucumber, lettuce, oat, onion, perennial ryegrass and tomato. Soil pH, electrical conductivity (EC) and extractable phosphorus (EP), factors which can affect seed germination and early seedling growth, were determined after plant harvests.  Germination primarily was affected by soil type with few biochar effects. Shoot dry weight was increased for carrot, lettuce, oat and tomato; primarily with biochars containing PL. Soil pH and EC increased with PL, SS, 55 and most 82 treatments across soil types and plant species.  Soil EP increased substantially with SS and PL and to a lesser extent with 55 and 82 for both soils across species, and with SG pyrolyzed at 550 and 750°C soil for the Norfolk soil across species.  Thus, this rapid-test method can be an early indicator of the effects of biochar on seed germination and important soil health characteristics which can be affected by biochar and effect seed germination. 

This dataset is associated with the following publication:
Olszyk, D.M., T. Shiroyama, J.M. Novak, and M.G. Johnson. A Rapid-Test for Screening Biochar Effects on Seed Germination.   Communications in Soil Science and Plant Analysis. Taylor & Francis Group, London,  UK, 49(16): 2025-2041, (2018).

Tags: biochar, crop, feedstock, plants, remediation, soil, temperature
Organization: U.S. Environmental Protection Agency
Data for "The impact of U.S. wildland fires on ozone and particulate matter: a comparison of measurements and CMAQ model predictions from 2008-2012"

This dataset contains the underlying data for the evaluation of a 5 year CMAQ simulation with and without fires. The pollutant evaluated in the journal article is PM2.5.  Daily Average concentrations of PM2.5 from two 5 year CMAQ simulations are included.  Area burned on a daily basis is also included. Finally model and observed paired CSV files of PM2.5 are included for the 5 year simulation from the IMPROVE and CSN networks. Datasets are in several formats including netCDF (tar and zipped), csv (tar and zipped), and Excel. 

This dataset is associated with the following publication:
Wilkins, J., G. Pouliot, K. Foley, W. Appel, and T. Pierce. The impact of US wildland fires on ozone and particulate matter: a comparison of measurements and CMAQ model predictions from 2008 to 2012.   International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria,  AUSTRALIA, 27(10): 684-698, (2018).

Tags: air-quality-modeling, biomass-burning, cmaq, csn, emissions, improve, wildland-fire
Organization: U.S. Environmental Protection Agency
Chemical composition of isoprene SOA under acidic and non-acidic conditions: Effect of relative humidity

The effect of acidity and relative humidity on bulk isoprene aerosol parameters has been investigated in several studies, however few measurements have been conducted on individual aerosol compounds. The focus of this study has been the examination of the effect of acidity and relative humidity on secondary organic aerosol (SOA) chemical composition from isoprene photooxidation in the presence of nitrogen oxide (NOx). A detailed characterization of SOA at the molecular level was also investigated. Experiments were conducted in a 14.5 m3 smog chamber operated in flow mode. Based on a detailed analysis of mass spectra obtained from gas chromatography-mass spectrometry of silylated derivatives in electron impact and chemical ionization modes, and ultra-high performance liquid chromatography/electrospray ionization/time-of-flight high resolution mass spectrometry, and collision-induced dissociation in the negative ionization modes, we characterized not only typical isoprene products, but also new oxygenated compounds. A series of nitroxy-organosulfates (OS) were tentatively identified on the basis of high resolution mass spectra. Under acidic conditions, the major identified compounds include 2-methyltetrols (2MT), 2-methylglyceric acid (2MGA) and 2MT-OS. Other products identified include epoxydiols, mono- and dicarboxylic acids, other organic sulfates, and nitroxy- and nitrosoxy-OS. The contribution of SOA products from isoprene oxidation to PM2.5 was investigated by analysing ambient aerosol collected at rural sites in Poland. Methyltetrols, 2MGA and several organosulfates and nitroxy-OS were detected in both the field and laboratory samples. The influence of relative humidity on SOA formation was modest in non-acidic seed experiments, and stronger under acidic seed aerosol. Total secondary organic carbon decreased with increasing relative humidity under both acidic and non-acidic conditions. While the yields of some of the specific organic compounds decreased with increasing relative humidity others varied in an indeterminate manner from changes in the relative humidity. 

This dataset is associated with the following publication:
Nestorowicz, K., M. Jaoui, K. Rudzinski, M. Lewandowski, T. Kleindienst, G. Spolnik, W. Danikiewicz, and R. Szmigielski. Chemical Composition of Isoprene SOA Under Acidic and Non-Acidic Conditions: Effect of Relative Humidity.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18(4): 18101-18121, (2018).

Tags: air-quality, air-toxics, gc-ms, isoprene, lc-ms, organosulfate, ozone, secondary-organic-aerosol
Organization: U.S. Environmental Protection Agency
Non-Targeted Analysis of ENTACT Mixtures

Results from a non-targeted analysis of synthetic chemical mixtures. 

This dataset is associated with the following publication:
Sobus, J., J. Grossman, A. Chao, R. Singh, A. Williams, C. Grulke, A. Richard, S. Newton, A. McEachran, and E. Ulrich. Using Prepared Mixtures of ToxCast Chemicals to Evaluate Non-Targeted Analysis (NTA) Method Performance..   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 411(4): 835-851, (2019).

Tags: entact, exposome, mass-spectrometry, non-targeted-analysis, toxcast
Organization: U.S. Environmental Protection Agency
CIMEK water chemistry

Water chemistry data from 60 sites in a partially mined eastern Kentucky watershed.  Sites are spatially located from headwater tributaries to mouth for analysis of cumulative downstream impacts. 

This dataset is associated with the following publication:
Johnson, B., E. Smith, J. Ackerman, S. Dye, R. Polinsky, E. Somerville, C. Decker, D. Little, G. Pond, and E. DAmico. Spatial Convergence in Major Dissolved Ion Concentrations and Implications of Headwater Mining for Downstream Water Quality.   JAWRA. American Water Resources Association, Middleburg, VA, USA, 55(1): 247-258, (2019).

Tags: chemistry, mining, network, solute, stream, valley-fill, water-chemistry, watershed
Organization: U.S. Environmental Protection Agency
Abiotic hydroxylamine nitrification involving manganese- and iron-bearing minerals.

Data used in the figures and tables presented in the manuscript. 

This dataset is associated with the following publication:
Rue, K., K. Rusevova, C. Biles, and S. Huling. Abiotic hydroxylamine nitrification involving manganese- and iron-bearing minerals.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, issue}: 567-575, (2018).

Tags: abiotic-nitrification, hydroxylamine, iron, manganese, nitrous-oxide
Organization: U.S. Environmental Protection Agency