This light-duty vehicle inventory dataset provides information on vehicle registrations by vehicle type (car vs. truck), fuel type, and model year showing the changes in adoption trends over time and average fuel economies. This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and builds on Cities-LEAP energy modeling, available at the "EERE Cities-LEAP Page" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.

This dataset reports a variety of emissions from operation of a batch-fed waste gasifier with a combustor. This dataset is associated with the following publication: Aurell, J., M. Barnes, B. Gullett, A. Holder, and R. Eninger. Methodology for Characterizing Emissions from Small (0.5-2 MTD) Batch-Fed Gasification Systems Using Multiple Waste Compositions. WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 87: 398-406, (2019).

This submission presents results and observations from a series of surveys of US municipal desalination plants conducted during the last 20 years. The surveys were conducted to determine the number, characteristics, and concentrate disposal practices of US desalination plants. Each survey was intended to identify and contact each US plant that produces 25,000 gpd or more. This cutoff eliminated smaller plants that serve truck stops, mobile home parks, hospitals, campgrounds, etc. Succeeding surveys did not undertake to recontact all previously contacted plants but focused primarily on plants built since the initial survey.

This folder contains the input data for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) source water baselines studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for Water Treatment and Supply. There are also eight other separate DAMS submissions, one per source water, that include the model results for the published studies. In this data submission, all model inputs across the eight baselines are included. The data structure and content are described in a README.txt file. For more details on how to use the data in WaterTAP3 please refer to the model documentation and GitHub site found at "WaterTAP3 Github" linked in the submission resources.

Description: This folder contains the results for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) baseline studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for Water Treatment and Supply. The data structure and content are described in a README.txt file. For more details on how to use the data and interpret the results please refer to the model documentation and GitHub site linked in the submission.