this is the landfill gas flow, methane flow and carbon dioxide flow. This dataset is associated with the following publication: Jain, P., J. Wally, T. Townsend, M. Krause, and T. Tolaymat. Greenhouse gas reporting data improves understanding of regional climate impact on landfill methane production and collection. PLOS ONE. Public Library of Science, San Francisco, CA, USA, 16(2): e0246334, (2021).

The database represents emissions rates quantified by Carbon Mapper across landfills observed and reported in Cusworth et al. (2024). Carbon Mapper leverages hyperspectral imaging spectroscopy to detect, locate, and quantify localized methane emissions. The database contains three sheets: (1) Unique plume detections: this dataset includes individual emission detections (latitude, longitude, emission rate, emission rate uncertainty, datetime) as well as the corresponding landfill’s GHGRP ID. (2) Daily-Average Landfill Emission: daily averaged landfill emissions derived by spatial aggregation and averaging of individual landfill emissions following the methods described in Cusworth et al. (2021). (3) Time-averaged Source List: Average emission rates across all dates of observation. This dataset is associated with the following publication: Cusworth, D.H., R.M. Duren, A.K. Ayasse, R. Jiorle, K. Howell, A. Aubrey, R.O. Green, M.L. Eastwood, J.W. Chapman, A.K. Thorpe, J. Heckler, G.P. Asner, M.L. Smith, E. Thoma, M. Krause, D. Heins, and S. Thorneloe-Howard. Quantifying methane emissions from United States landfills. SCIENCE. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 383(6690): 1499-1504, (2024).

This is the dataset and data dictionary for the paper titled "Quantification of natural gas and other hydrocarbons from production sites in northern West Virginia using tracer flux ratio methodology". This dataset is associated with the following publication: Daube, C., S. Herndon, J. Krechmer, D. Johnson, N. Clark, T. Footer, and E. Thoma. Quantification of natural gas and other hydrocarbons from production sites in northern West Virginia using tracer flux ratio methodology. Atmospheric Environment: X. Elsevier B.V., Amsterdam, NETHERLANDS, 19: na, (2023).

The dataset contains the data found in the figures of the paper "Methane Emissions from Oil and Gas Production Sites and Their Storage Tanks in West Virginia", along with a data dictionary. This dataset is associated with the following publication: Johnson, D., N. Clark, R. Heltzel, M. Darzi, T. Footer, S. Herndon, C. Murral, and E. Thoma. Methane Emissions from Oil and Gas Production Sites and Their Storage Tanks in West Virginia. Atmospheric Environment: X. Elsevier B.V., Amsterdam, NETHERLANDS, na, (2022).

Web map published by the U.S. EPA Landfill Methane Outreach Program (LMOP) that shows currently operational landfill gas energy projects and landfills listed in the LMOP Database having latitude and longitude coordinates. Data for operational projects are provided in 4 layers by Project Type Category (electricity, direct use, RNG pipeline injection, and RNG local use). Data for landfills are provided in 3 layers by Landfill Category (candidate, with project, and other). LMOP defines a candidate landfill as one that is accepting waste or has been closed for five years or less, has at least one million tons of waste, and does not have an operational, under-construction, or planned project; candidate landfills can also be designated based on actual interest by the site. Data from the LMOP Database are available at https://www.epa.gov/lmop/lmop-landfill-and-project-database. The Tribal layer data are available at https://geopub.epa.gov/arcgis/rest/services/EMEF/Tribal/MapServer.

Web map published by the U.S. EPA Landfill Methane Outreach Program (LMOP) that shows currently operational landfill gas energy projects and landfills listed in the LMOP Database having latitude and longitude coordinates. Data for operational projects are provided in 4 layers by Project Type Category (electricity, direct use, RNG pipeline injection, and RNG local use). Data for landfills are provided in 3 layers by Landfill Category (candidate, with project, and other). LMOP defines a candidate landfill as one that is accepting waste or has been closed for five years or less, has at least one million tons of waste, and does not have an operational, under-construction, or planned project; candidate landfills can also be designated based on actual interest in the site. The map also incorporates environmental justice (EJ) demographic layers and Tribal data layers, so that users can identify these areas as they review landfill and project locations.Data from the LMOP Database are available at https://www.epa.gov/lmop/lmop-landfill-and-project-database. EJScreen is available at https://www.epa.gov/ejscreen. The Tribal layer data are available at https://geopub.epa.gov/arcgis/rest/services/EMEF/Tribal/MapServer.

The data is an output from SLOPE/W that looks at slope failure as a result of landfill pressures. This dataset is associated with the following publication: Jain, P., A. Kanneganti, T. Townsend, M. Krause, and T. Tolaymat. Isothermal Dual-Phase Flow Modeling to Assess the Impact of Gas Collection on Geotechnical and Hydraulic Performance of Landfills. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING. American Society of Civil Engineers (ASCE), Reston, VA, USA, 149(8): 04023061, (2023).

Datasets from Carbon Mapper portal finding there is a need for wider availability of site specific geospatial and time-resolved information (e.g., locations of gas collection wells and time-series of well downtime) to identify the methodological changes needed to better account for work face emissions in current emissions models. This dataset is associated with the following publication: Scarpelli, T.R., D.H. Cusworth, R.M. Duren, J. Kim, J. Heckler, G.P. Asner, E. Thoma, M.J. Krause, D. Heins, and S. Thorneloe. Investigating major sources of methane emissions at US landfills. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(49): 21545–21556, (2024).