AndreaBozzo/ceres-open-data-index huggingface dataset:
an Integrated science based methodology

The data is secondary in nature.  Meaning that no data was generated as part of this review effort.  Rather, data that was available in the peer-reviewed literature was used. This dataset is not publicly accessible because: This is a review manuscript, there was not data generated under this effort. All data used was secondary data and sources of the data were identified in the manuscript. It can be accessed through the following means: there is no database. Format: there is no data base. 

This dataset is associated with the following publication:
Tolaymat , T., A. El Badawy, R. Sequeira, and A. Genaidy. An integrated science-based methodology to assess potential risks and implications of engineered nanomaterials.  Diana Aga, Wonyong Choi, Andrew Daugulis, Gianluca Li Puma, Gerasimos Lyberatos, and Joo Hwa Tay  JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 298: 270-281, (2015).

Tags: methodology, nanomaterials, risk
Organization: U.S. Environmental Protection Agency
Pb Speciation Data to Estimate Lead Bioavailability to Quail

Linear combination fitting data for lead speciation of soil samples evaluated through an in-vivo/in-vitro correlation for quail exposure. 

This dataset is associated with the following publication:
Beyer, W.N., N. Basta, R. Chaney, P. Henry, D. Mosby, B. Rattner, K. Scheckel , D. Sprague, and J. Weber. BIOACCESSIBILITY TESTS ACCURATELY ESTIMATE BIOAVAILABILITY OF LEAD TO QUAIL.  G.A. Burton, Jr., and C. H. Ward  ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(9): 2311-2319, (2016).

Tags: ecological-risk-assessment, metal-bioavailability, soil-amendments, soil-contamination, synchrotron-speciation, wildlife-toxicology
Organization: U.S. Environmental Protection Agency
Figure 9

This is a NetCDF file in ioapi format that contains the probability that ozone is above the 8 hr max O3 standard for the four days of the simulation. This dataset is not publicly accessible because: The file size is a large binary NetCDF file of 56Mb. It can be accessed through the following means: File is located on US EPA's HPC system sol file archive: /asm/grc/JGR_ENSEMBLE_ScienceHub/Figure9.nc. Format: NetCDF file that contains the O3 gridded data to reproduce Figure 9. 

This dataset is associated with the following publication:
Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

Tags: ensemble-modeling, o3, ozone, probabilistic-modeling, probablity, wrf-cmaq
Organization: U.S. Environmental Protection Agency
Figure 7

Two files provided. The ENS.tar file contains text data files (*.csv) used to create Figure 7 and Figure 8. The Figure7.txt is an R script that reads these files and generates the plots for various cities including the four published in Figure 7 and Figure 8. 

This dataset is associated with the following publication:
Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

Tags: ensemble-modeling, o3, ozone, probabilistic-modeling, probablistic-evaluation, variability, wrf-cmaq
Organization: U.S. Environmental Protection Agency
Figure6

R script for the reproduction of Figure6. This script accesses archived CMAQ and WRF model output on US EPA's HPC sol computer system and plots forward trajectories and ozone concentrations from major cities in the US. 

This dataset is associated with the following publication:
Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

Tags: ensemble-modeling, o3, ozone, probabilistic-modeling, trajectories, wrf-cmaq
Organization: U.S. Environmental Protection Agency
Figure5

This is an R statistics package script that allows the reproduction of Figure 5. The script includes the links to large NetCDF files that the figures access for O3, CO, wind speed, radiation and PBL height. It pulls the timeseries for each variable at a number of cities (lat-lon specified). 

This dataset is associated with the following publication:
Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

Tags: co, ensemble-modeling, o3, ozone, pbl-height, probabilistic-modeling, radiation, timeseries, wind-speed, wrf-cmaq
Organization: U.S. Environmental Protection Agency
Figure4

NetCDF files of PBL height (m), Shortwave Radiation, 10 m wind speed from WRF and Ozone from CMAQ. The data is the standard deviation of these variables for each hour of the 4 day simulation. Figure 4 is only one of the time periods: June 8, 2100 UTC. The NetCDF files have a time stamp (Times) that can be used to find this time in order to reproduce the Figure 4. Also included is a data dictionary that describes the domain and all other attributes of the model simulation. This dataset is not publicly accessible because: The file is 202Mb binary NetCDF file that is too large. It can be accessed through the following means: Archived on the US EPA HPC Sol computer system:/asm/grc/JGR_ENSEMBLE_ScienceHub/Figure4.tar.gz. Format: Tar.gz file that contains NetCDF files required to reproduce Figure 4. 

This dataset is associated with the following publication:
Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

Tags: 10-m-wind-speed, ensemble-modeling, ozone, pbl-height, probabilistic-modeling, solar-radiation, standard-deviation-of-the-sref-ensemble, wrf-cmaq
Organization: U.S. Environmental Protection Agency
Figure 3

The Figure.tar.gz contains a directory for each WRF ensemble run. In these directories are *.csv files for each meteorology variable examined. These are comma delimited text files that contain statistics for each observation site. Also provided is an R script that reads these files (user would need to change directory pointers) and computes the variability of error and bias of the ensemble at each site and plots these for reproduction of figure 3. This dataset is not publicly accessible because: 30Mb tar, 15 Mb tar.gz. It can be accessed through the following means: On the EPA HPC system sol archive: /asm/grc/JGR_ENSEMBLE_ScienceHub/figure3.tar. Format: tar.gz file of text files that contain the surface meteorology statistics that were used to created Figure 3. Also included is a R script that will allow anyone interested to re-generate the figure. 

This dataset is associated with the following publication:
Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

Tags: ensemble, ensemble-modeling, mixing-ratio, ozone, probabilistic-modeling, temperature, variability, wind-speed, wrf-cmaq
Organization: U.S. Environmental Protection Agency
Ensemble standar deviation of wind speed and direction of the FDDA input to WRF

NetCDF file of the SREF standard deviation of wind speed and direction that was used to inject variability in the FDDA input.

variable U_NDG_OLD contains standard deviation of wind speed (m/s)
variable V_NDG_OLD contains the standard deviation of wind direction (deg). This dataset is not publicly accessible because: This is a netcdf file that is 3.9Gb. It can be accessed through the following means: On the HPC system sol (2016). In the asm archive here: /asm/grc/JGR_ENSEMBLE_ScienceHub/figure1.nc. Format: Figure 1 data. This is the variability of wind speed and direction of the four dimensional data assimilation inputs. The variability includes the 14 members of the ensemble. 

This dataset is associated with the following publication:
Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

Tags: ensemble-modeling, fdda, ozone, probabilistic-modeling, wind-speed-and-direction-variability, wrf, wrf-cmaq
Organization: U.S. Environmental Protection Agency
Evaluating the Accuracy of Common Runoff Estimation Methods for New Impervious Hot-Mix Asphalt

Excel workbook,  First sheet is data dictionary.  second sheet is the data representing the abstraction for events with short antecedent dry period (less than 24 hr). 

This dataset is associated with the following publication:
Brown , R., and M. Borst. Evaluating the Accuracy of Common Runoff Estimation Methods for New Impervious Hot-Mix Asphalt.   Journal of Sustainable Water in the Built Environment. American Society of Civil Engineers (ASCE), New York, NY, USA,  online, (2015).

Tags: hot-mix-asphalt, runoff, scs-curve-number-method, simple-method, small-storm-hydrology-method, stormwater, stormwater-management
Organization: U.S. Environmental Protection Agency
Permeable pavement study (Edison)

While permeable pavement is increasingly being used to control stormwater runoff, field-based, side-by-side investigations on the effects different pavement types have on nutrient concentrations present in stormwater runoff are limited.  In 2009, the U.S. EPA constructed a 0.4-ha parking lot in Edison, New Jersey, that incorporated permeable interlocking concrete pavement (PICP), pervious concrete (PC), and porous asphalt (PA).  Each permeable pavement type has four, 54.9-m2, lined sections that direct all infiltrate into 5.7-m3 tanks enabling complete volume collection and sampling.  This paper highlights the results from a 12-month period when samples were collected from 13 rainfall/runoff events and analyzed for nitrogen species, orthophosphate, and organic carbon.  Differences in infiltrate concentrations among the three permeable pavement types were assessed and compared with concentrations in rainwater samples and impervious asphalt runoff samples, which were collected as controls.  Contrary to expectations based on the literature, the PA infiltrate had significantly larger total nitrogen (TN) concentrations than runoff and infiltrate from the other two permeable pavement types, indicating that nitrogen leached from materials in the PA strata.  There was no significant difference in TN concentration between runoff and infiltrate from either PICP or PC, but TN in runoff was significantly larger than in the rainwater, suggesting meaningful inter-event dry deposition.  Similar to other permeable pavement studies, nitrate was the dominant nitrogen species in the infiltrate.  The PA infiltrate had significantly larger nitrite and ammonia concentrations than PICP and PC, and this was presumably linked to unexpectedly high pH in the PA infiltrate that greatly exceeded the optimal pH range for nitrifying bacteria.  Contrary to the nitrogen results, the PA infiltrate had significantly smaller orthophosphate concentrations than in rainwater, runoff, and infiltrate from PICP and PC, and this was attributed to the high pH in PA infiltrate possibly causing rapid precipitation of orthophosphate with metal cations.  Orthophosphate was exported from the PICP and PC, as evidenced by the significantly larger infiltrate concentrations compared with influent sources of rainwater and runoff. 

This dataset is associated with the following publication:
Brown , R., and M. Borst. Nutrient Infiltrate Concentrations from Three Permeable Pavement Types.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 164: 74-85, (2015).

Tags: bmp, gi-perrormance, green-infrastructure, stormwater-management
Organization: U.S. Environmental Protection Agency
Watershed impervious cover relative to stream location

Estimates of watershed (12-digit huc) impervious cover and impervious cover near streams and water body shorelines for three dates (2001, 2006, 2011) using NLCD data.  Differences between watershed impervious cover and impervious cover near streams can be used to assess the spatial pattern of impervious cover within a watershed. 

This dataset is associated with the following publication:
Wickham , J., A. Neale , M. Mehaffey , T. Jarnagin , and D. Norton. Temporal Trends in Impervious Cover Relative to Stream Location..   JOURNAL OF AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 52(2): 409-419, (2016).

Tags: change-detection, clean-water-act, impervious-cover, national-land-cover-database-nlcd, roads, spatial-pattern
Organization: U.S. Environmental Protection Agency
Data supporting Al-Abed et al., Environ. Sci.: Nano, 2016,

Data files representing each of the Figures and Tables published in Al-Abed et al., Environ. Sci.: Nano, 2016,
3, 593.  The data file names identify the Figure or Table and each file contains an internal set of data definitions. 

This dataset is associated with the following publication:
Al-Abed, S.R., J. Virkutyte, J. Ortenzio , R.M. McCarrick, L. Degn, R. Zucker , N. Coates , K. Cleveland, H. Ma, S. Diamond, K. Dreher , and W. Boyes. Environmental aging alters AI(OH)3 coating of TiO2 nanoparticles enhancing their photocatalytic and phototoxicity activities.   Environmental Science: Nano. RSC Publishing, Cambridge,  UK,  N/A, (2016).

Tags: engineered-nanomaterials, engineered-nanoparticles-np, environmental-degredation, environmental-transformations, nanomaterials, phototoxicity, sunscreen, titanium-dioxide
Organization: U.S. Environmental Protection Agency
Carbone_et_al_2016_ambient_data - Sea surface temperature variation linked to elemental mercury concentrationsmeasured on Mauna Loa

This data set has two sets of gaseous elemental mercury data. The first column contains all Hg related data some of which may have been affected by the upslope events such as the emissions from the nearby volcano. The next column contain values that were flagged and excluded as being affected by the nearby volcanic events. The flagging method used to eliminate these values was developed using an episode identification scheme using SO2 data. For the years of 2002 through 2004, hourly SO2 data were used to llag the upslope values. For the years of 2005-2009, 5 minute SO2 values were used to flag upslope events.

While SO2 and O3 data were collected by EPA as part of this study, the CO2 data were downloaded from NOAA data website along with the flag related information provided below. (http://www.esrl.noaa.gov/gmd/dv/data/index.php?parameter_name=Carbon%2BDioxide&showall=1&site=MLO). 

This dataset is associated with the following publication:
Carbone, F., M. Landis, C.N. Gencarelli, A. Naccarato, F. Sprovieri, F. De Simone, I.M. Hedgecock, and N. Pirrone. Sea surface temperature variation linked to elemental mercury concentrations measured on Mauna Loa.   GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, USA,  online, (2016).

Tags: ocean-evation
Organization: U.S. Environmental Protection Agency
Data used in Xu et al., 2016 paper entitled "Characteristics and distributions of atmospheric mercury emitted from anthropogenic sources in Guiyang, southwestern China

Mercury emissions data from anthropogenic sources as described in Xu et al., 2016. 

This dataset is associated with the following publication:
Xu, X., N. Liu, M. Landis, X. Feng, and G. Qiu. Characteristics and distributions of atmospheric mercury emitted from anthropogenic sources in Guiyang, southwestern China.   Acta Geochimica. Springer, Heidelburg,  GERMANY,  1-11, (2016).

Tags: antrhopogenic-sources, atmospheric-mercury, gem, phg, rgm, speciation
Organization: U.S. Environmental Protection Agency
CMAPS Study Wet Only Mercury in Precipitation Data Set from Chippiwa Lake and G.T. Graig Monitoring Sites

Total mercury in precipitation collected using ASPS automated wet-only instrument and analyzed by cold vapor atomic fluorescence spectroscopy. 

This dataset is associated with the following publication:
Lynam, M., J.T. Dvonch, J. Barres, M. Landis , and A. Kamal. Investigating the impact of local urban sources on total atmospheric mercury wet deposition in Cleveland, Ohio, USA.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 127: 262-271, (2016).

Tags: lake-erie, mercury-deposition-network, meteorological-case-study
Organization: U.S. Environmental Protection Agency
Assessment of the Bioaccessibility of Micronized Copper Wood on Simulated Stomach Fluid

The widespread use of copper-treated lumber has increased the potential for human exposure. Moreover, there is a lack of information on the fate and behavior of copper-treated wood particles following oral ingestion. In this study, the in vitro bioaccessibility of copper from copper-treated wood dust in simulated stomach fluid and DI water was determined. Three copper-treated wood products, liquid alkali copper quaternary and two micronized copper quarternary from different manufacturers, were incubated in the extraction media then fractionated by centrifugation and filtration through 0.45 m and 10 kDa filters. The copper concentrations from isolated fractions were measured using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). Total amounts of copper from each wood product were also determined using microwave-assisted acid digestion of dried wood samples and quantification using ICP-OES. The percent in vitro bioaccessible copper was between 83 and 90 % for all treated wood types. However, the percent of copper released in DI water was between 14 and 25 % for all wood products. This data suggests that copper is highly bioaccessible at low pH and may pose a potential human exposure risk upon ingestion. 

This dataset is associated with the following publication:
Santiago-Rodrigues, L., J.L. Griggs, K. Bradham , C. Nelson , T. Luxton , W. Platten , and K. Rogers. Assessment of the bioaccessibility of micronized copper wood in synthetic stomach fluid.   Environmental Nanotechnology, Monitoring and Management. Elsevier B.V., Amsterdam,  NETHERLANDS, 4: 85-92, (2015).

Tags: bioaccessibility, copper, human-exposure, micronized-copper, synthetic-stomach-fluid, wood
Organization: U.S. Environmental Protection Agency
In vivo and In vitro neurochemical-based assessments of wastewater effluents from the Maumee River area of concern.

All primary data reported in this paper were generated by non-federal collaborators from the University of Michigan and McGill University. US EPA-ORD personnel collected and supplied water, sediment, and fish tissue samples used in these analyses and contributed to development of the manuscript, however, no data were directly generated by US EPA personnel. This dataset is not publicly accessible because: No EPA data (see comments). It can be accessed through the following means: Data set can be obtained upon request from the corresponding author. Format: n/a. 

This dataset is associated with the following publication:
Arini, A., J. Cavallin , J. Berninger, R. Marfil-Vega, M. Mills , D. Villeneuve , and N. Basu. In vivo and in vitro neurochemical-based assessments of wastewater effluents from the Maumee River area of concern..   SOCIETY OF ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY JOURNAL. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 211: 9-19, (2016).

Tags: adverse-outcome-pathway, aquatic-ecosystems, cross-species-extrapolation, great-lakes-research-initiative, neuroendocrine, surface-water
Organization: U.S. Environmental Protection Agency
MOD13Q1

Normalized Difference Vegetation Index (NDVI). 

This dataset is associated with the following publication:
Shao, Y., R. Lunetta , B. Wheeler, J. Iiames , and J. Campbell. An Evaluation of Time-Series Smoothing Algorithms for Landcover Classifications Using MODIS-NDVI Multi-Temporal Data.   REMOTE SENSING OF ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 174(0): 258-265, (2016).

Tags: modis-ndvi, modis-ndvi-smoothing
Organization: U.S. Environmental Protection Agency
Anaerobic Toxicity of Cationic Silver Nanoparticles

Toxicity data for the impact of nano-silver on anaerobic degradation. 

This dataset is associated with the following publication:
Gitipour, A., S. Thiel, K. Scheckel, and T. Tolaymat. Anaerobic Toxicity of Cationic Silver Nanoparticles.  D. Barcelo Culleres, and J. Gan  SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 557: 363-368, (2016).

Tags: anaerobic, cationic, nanoparticles, silver, toxicity
Organization: U.S. Environmental Protection Agency
Molecular Detection of Legionella spp. and their associations with Mycobacterium spp., Pseudomonas aeruginosa and amoeba hosts in a drinking water distribution system

Quantity of Legionella spp., Mycobacterium spp., Acanthamoeba,Vermamoeba vermiformis and Pseudomonas aeruginosa were estimated using qPCR methods. 

This dataset is associated with the following publication:
Lu , J., I. Struewing, E. Vereen, A.E. Kirby, K. Levy, C. Moe, and N. Ashbolt. Molecular detection of Legionella spp. and their associations with Mycobacterium spp., Pseudomonas aeruginosa and amoeba hosts in a drinking water distribution system (Journal Article).   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 120(2): 509-521, (2016).

Tags: drinking-water, drinking-water-distribution-system, legionella, molecular-detection, opportunistic-parthogens, opportunistic-pathogen, qpcr, sequence
Organization: U.S. Environmental Protection Agency
Diurnal Ensemble Surface Meteorology Statistics

Excel file containing diurnal ensemble statistics of 2-m temperature, 2-m mixing ratio and 10-m wind speed. This Excel file contains figures for Figure 2 in the paper and worksheets containing all statistics for the 14 members of the ensemble and a base simulation. 

This dataset is associated with the following publication:
Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

Tags: 10-m-wind-speed, 2-m-mixing-ratio, 2-m-temperature, ensemble-modeling, figure-2, nam, ozone, probabilistic-modeling, rmse, sref, surface-meteorology-statistics, wrf-cmaq
Organization: U.S. Environmental Protection Agency
Chemical agent recoveries

Dataset shows the calculation of reported decontamination efficacies from the raw data (i.e., measured amount of chemical recovered from test coupons and positive controls) to actual decontamination efficacy for all chemicals and decontaminants. 

This dataset is associated with the following publication:
Oudejans , L., J. O'Kelly, A. Evans, B. Barbara Wyrzykowska-Ceradini, A. Toauati, D. Tabor , and E. Snyder. Efficacy of decontaminant solutions for remediation on TICs on PPE materials.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA,  1-5, (2016).

Tags: chemical-warfare-agent, decontamination, decontamination-line, doffing, efficacy, ppe, toxic-industrial-chemical
Organization: U.S. Environmental Protection Agency