Dataset of different AWG units and bottled water units for different scales were provided. The LCA results of the different systems were provided as well. This dataset is associated with the following publication: Absar, M., S. Cashman, X. Ma, J. Garland, and M. Jahne. Life Cycle and Cost Assessments of Atmospheric Water Generation Technologies and Alternative Potable Water Emergency Response Options. U.S. Environmental Protection Agency, Washington, DC, USA.

The dataset consists of quantitative microbial risk assessment, life cycle assessment and life cycle cost analysis. This dataset is associated with the following publication: Arden, S., B. Morelli, M. Schoen, S. Cashman, M. Jahne, C. Ma, and J. Garland. Human health, economic and environmental assessment of onsite non-potable water reuse systems for a large, mixed-use urban building. Sustainability. MDPI AG, Basel, SWITZERLAND, 12(13): 5459 - 5475, (2020).

The dataset consists of quantitative microbial risk assessment, life cycle assessment and life cycle cost analysis. This dataset is associated with the following publication: Arden, S., B. Morelli, M. Schoen, S. Cashman, M. Jahne, C. Ma, and J. Garland. Human health, economic and environmental assessment of onsite non-potable water reuse systems for a large, mixed-use urban building. Sustainability. MDPI AG, Basel, SWITZERLAND, 12(13): 5459 - 5475, (2020).

Data set used to estimate the autoregressive distributed lag (ADL) model to understand how water quality measures (e.g., raw water TOC and algal toxin) and other variables affect drinking water treatment costs at the Bob McEwen Water Treatment Plant in southwestern OH. This dataset is associated with the following publication: Heberling, M., J.I. Price, C. Nietch, M. Elovitz, N. Smucker, D.A. Schupp, A. Safwat, and T. Neyer. Linking Water Quality to Drinking Water Treatment Costs Using Time Series Analysis: Examining the Effect of a Treatment Plant Upgrade in Ohio. WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 58(5): e2021WR031257, (2022).

LCI and LCIA for water and wastewater treatment plants. This dataset is associated with the following publications: Xue, X., S. Cashman, A. Gaglione, J. Mosley, L. Weiss, C. Ma, J. Cashdollar, and J. Garland. Holistic Analysis of Urban Water Systems in the Greater Cincinnati Region: (1) Life Cycle Assessment and Cost Implications. Water Research X. Elsevier B.V., Amsterdam, NETHERLANDS, 2: 100015, (2019). Cashman, S., A. Gaglione, J. Mosley, L. Weiss, T. Hawkins, N. Ashbolt, J. Cashdollar , X. Xue, C. Ma , and S. Arden. Environmental and cost life cycle assessment of disinfection options for municipal drinking water treatment. U.S. Environmental Protection Agency, Washington, DC, USA, 2014. Cashman, S., A. Gaglione, J. Mosley, L. Weiss, N. Ashbolt, T. Hawkins, J. Cashdollar , X. Xue, C. Ma , and S. Arden. Environmental and cost life cycle assessment of disinfection options for municipal wastewater treatment. U.S. Environmental Protection Agency, Washington, DC, USA, 2014.

LCI and LCIA for water and wastewater treatment plants. This dataset is associated with the following publications: Xue, X., S. Cashman, A. Gaglione, J. Mosley, L. Weiss, C. Ma, J. Cashdollar, and J. Garland. Holistic Analysis of Urban Water Systems in the Greater Cincinnati Region: (1) Life Cycle Assessment and Cost Implications. Water Research X. Elsevier B.V., Amsterdam, NETHERLANDS, 2: 100015, (2019). Cashman, S., A. Gaglione, J. Mosley, L. Weiss, T. Hawkins, N. Ashbolt, J. Cashdollar , X. Xue, C. Ma , and S. Arden. Environmental and cost life cycle assessment of disinfection options for municipal drinking water treatment. U.S. Environmental Protection Agency, Washington, DC, USA, 2014. Cashman, S., A. Gaglione, J. Mosley, L. Weiss, N. Ashbolt, T. Hawkins, J. Cashdollar , X. Xue, C. Ma , and S. Arden. Environmental and cost life cycle assessment of disinfection options for municipal wastewater treatment. U.S. Environmental Protection Agency, Washington, DC, USA, 2014.

NEWR tool background model and results of the applications. This dataset is associated with the following publication: Arden, S., B. Morelli, S. Cashman, C. Ma, M. Jahne, and J. Garland. Onsite Non-potable Reuse for Large Buildings: Environmental and Economic Suitability as a Function of Building Characteristics and Location. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 191: 116635, (2021).

This dataset is the basis for the U.S. Geological Survey Scientific Investigations Report "An evaluation of methods for computing annual water quality loads", which utilized available data from Heidelberg University and the U.S. Geological Survey to evaluate the accuracy of various methods for computing annual water-quality loads. This dataset contains two files used in the report: "QW_FLOW.csv", which contains the water-quality sample and streamflow data used to develop water-quality load estimates, and "QW_LOAD.csv", which contains observed and estimated annual loads.

This dataset contains modeled hourly streamflow at each about eighteen thousand selected operational and water quality stream gage locations. It was assembled from publicly available retrospective and operational V1.2 National Water Model outputs. The streamflow variable was extracted from model output files and the data were reshaped to optimize read performance. The stream gage locations were derived from several ongoing USGS projects using gages for evaluation of streamflow, water quality, and real-time monitoring however only National Water Model identifiers and NHDPlus catchment outlet locations are used to identify model results. Relationships between NWIS gages and National Water Model prediction locations were not reviewed for release at the time of publication of this data. Please contact the author for up to date information. All processing resources used for data reformatting and extraction can be found in this repository: https://code.usgs.gov/water/nwm_subset. This supporting code also contains Docker images that are capable of processing real-time National Water Model outputs into similar formats as are in this dataset and providing data services via the THREDDS Data Server. The retrospective is available in one NetCDF file. The operational model run archives are available in .tar.gz archives that contain daily Forecast Model Run Collection files. These data conform as much as possible to the NetCDF-CF Discrete Sampling Geometry conventions and are designed to be aggregated along the reference-time dimension allowing creation of a complete collection of forecast model runs with the THREDDS data server. The retrospective data are available from public cloud data outlets (Such as: https://registry.opendata.aws/nwm-archive/) and the operational outputs were retrieved from an archive maintained at the NOAA National Water Center in Tuscaloosa, AL. Note that some data were missing from this archive, on 5-8-2018 for all operational outputs and 7-17-2017 for long range outputs. The operational model runs include analysis and assimilation, short range, medium range, and an ensemble of four long range model runs. More information on these data are available from the National Water Model v1.2 release notes here. http://www.nws.noaa.gov/os/notification/scn18-16national_water_model.htm. The contents of that html page have been archived with this dataset. The retrospective model run is available from: https://docs.opendata.aws/noaa-nwm-pds/readme.html. The precise data included here should match that exactly but was sourced from NOAA-OWP systems at the National Water Center prior to availability of data from Amazon Public Datasets.

This dataset contains modeled hourly streamflow at each about eighteen thousand selected operational and water quality stream gage locations. It was assembled from publicly available retrospective and operational V1.2 National Water Model outputs. The streamflow variable was extracted from model output files and the data were reshaped to optimize read performance. The stream gage locations were derived from several ongoing USGS projects using gages for evaluation of streamflow, water quality, and real-time monitoring however only National Water Model identifiers and NHDPlus catchment outlet locations are used to identify model results. Relationships between NWIS gages and National Water Model prediction locations were not reviewed for release at the time of publication of this data. Please contact the author for up to date information. All processing resources used for data reformatting and extraction can be found in this repository: https://code.usgs.gov/water/nwm_subset. This supporting code also contains Docker images that are capable of processing real-time National Water Model outputs into similar formats as are in this dataset and providing data services via the THREDDS Data Server. The retrospective is available in one NetCDF file. The operational model run archives are available in .tar.gz archives that contain daily Forecast Model Run Collection files. These data conform as much as possible to the NetCDF-CF Discrete Sampling Geometry conventions and are designed to be aggregated along the reference-time dimension allowing creation of a complete collection of forecast model runs with the THREDDS data server. The retrospective data are available from public cloud data outlets (Such as: https://registry.opendata.aws/nwm-archive/) and the operational outputs were retrieved from an archive maintained at the NOAA National Water Center in Tuscaloosa, AL. Note that some data were missing from this archive, on 5-8-2018 for all operational outputs and 7-17-2017 for long range outputs. The operational model runs include analysis and assimilation, short range, medium range, and an ensemble of four long range model runs. More information on these data are available from the National Water Model v1.2 release notes here. http://www.nws.noaa.gov/os/notification/scn18-16national_water_model.htm. The contents of that html page have been archived with this dataset. The retrospective model run is available from: https://docs.opendata.aws/noaa-nwm-pds/readme.html. The precise data included here should match that exactly but was sourced from NOAA-OWP systems at the National Water Center prior to availability of data from Amazon Public Datasets.