Find research datasets worth reusing

opencc-by-4.0Sep 2022View details →

Data for: Hydrogen production via methane pyrolysis

This dataset contains information regarding patented methods for the production of hydrogen via methane pyrolysis. The processes described in scientific literature can be divided into three categories: thermal, plasma and catalytic decomposition. [1] The same categories are found in the patent literature. The most popular and currently used methods for making hydrogen are coal gasification, steam methane reforming (SMR) and water electrolysis.  Methane pyrolysis can be seen as a suitable alternative and environmentally friendly technology; It consists in the thermal decomposition of methane, with the formation of solid carbon (instead of CO/CO2) as reaction by-product. The catalytic methane pyrolysis has been widely investigated. Iron and carbon-based (carbon black, graphite, carbon nanotubes) catalysts are considered the best candidates for industrial implementation.[2] The following patent databases used have been used for data mining:  -          Espacenet (a free of charge database provided by the European Patent Office), accessed on Sept. 10, 2022 -          Orbit Intelligence (FamPat database) (a fee-based platform provided by Questel), accessed on Sept. 10, 2022 The file titled “Methane pyrolysis _ Espacenet” contains information related to Title, Inventors, Applicants, Publication number, Earliest priority, IPC, CPC, Publication date, Earliest publication, and Family number. The file titled “Methane pyrolysis _ Orbit” contains information related to Priority numbers, Application numbers, Publication numbers, Priority dates, Application dates, Publication dates, Title, Abstract, and Current assignees. Patent searches were carried out by means of keywords and classification/indexing codes. [3, 4] Both IPC (International Patent Classification) and CPC (Cooperative Patent Classification) systems were used.

opencc-by-sa-4.0May 2024View details →

Monthly methane emissions estimated with the atmospheric inversion model CarbonTracker Europe - CH4

Monthly estimates of global methane emissions from CarbonTracker Europe - CH4 (CTE-CH4). CTE-CH4 is a Bayesian inversion framework based on an ensemble Kalman filter algorithm using the Eulerian global atmospheric transport model TM5. The gridded fluxes are available with a resolution of 1.0x1.0 degrees and in units of kgCH4/m2/month. The gridded flux file contains variables for posterior fluxes from soils (bio_flux_opt) and anthropogenic sources (anth_flux_opt) and the total posterior flux (total_flux_opt). Priors used: Anthropogenic: EDGAR v6, biosphere/wetlands (soils): LPX-Bern DYPTOP v1.4, Ocean: Weber et al. (2019), Biomass burning: GFED v4.1, Termites: VISIT. A more detailed setup of the inversion is documented in Erkkilä, A., Tenkanen, M., Tsuruta, A., Rautiainen, K., and Aalto, T.: Environmental and Seasonal Variability of High Latitude Methane Emissions Based on Earth Observation Data and Atmospheric Inverse Modelling, Remote Sensing, 15, https://doi.org/10.3390/rs15245719, 2023. Note: Fluxes are optimised at 1.0x1.0 degrees in northern high latitudes (USA, Canada, Europe and Russia), but are also provided here at the same resolution for other regions.

opencc-by-4.0Jul 2024View details →

Data from: Collaborative Research: Influence of phosphorus deficiency on enigmatic biological methane production in oxic freshwater lakes

Data from: Collaborative Research: Influence of phosphorus deficiency on enigmatic biological methane production in oxic freshwater lakes NSF Projects 1951002 (PI: Matthew J. Church), 1950963 (PI: John E. Dore)

opencc-by-4.0Aug 2024View details →

Estimated individual methane emission rates for oil and gas facilities from the continental United States in 2021

File containing 500 separate estimates of 673,940 individual facility-level methane emission rates for oil and gas facilities for the year 2021 in the continental United States. Each column contains one full estimate of the individual facility-level emissions, presented in units of kilograms per hour of methane per facility. The facility categories included in these estimates are production well sites, gathering and boosting compressor stations, transmission and storage compressor stations, processing plants, and flares. This data can be used to recreate the 500 emission distributions presented in Figure 3 in the following manuscript (link: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1402) which is currently under review. This dataset may be updated as the review stages progress

opencc-by-4.0Aug 2024View details →

GCMS Huygens Dataset and methane mole fraction in Titan atmosphere

This archive contains the dataset relative to the publication "Reanalaysis of the Huygens GCMS dataset: I. High resolution Methane vertical profile in Titan atmosphere" by Gautier et al. in A&A 2024. The entire set of recalibrated GCMS data is provided and includes the GCMS level 3 data product generated during this work. Following the nomenclature of the GCMS data archived on the PDS this file is named GCMS_1US_STG3.TAB. The associated file GCMS_1US_STG3.FMT contains a description of each column following the existing archived format. An additional information in the description using the keyword "CHANGED_STG2_3" indicates whether or not the column was modified between STG2 and STG3 compared to the dataset retrieved on the PDS. The molefractions.csv table contains the retrieved methane mixing ratio through the atmospheric column. First column is the time since beginning of GCMS measurements. Column 2, 3 and 4 are the altitude, atmospheric pressure and temperature, respec- tively, from HASI measurements for the corresponding time stamp. Column 5 and 6 are the retrieved methane mole fraction and its standard deviation. For altitudes comprised between 146 and 30 km, data has been binned to a kilometric resolution to enhance S/N. The associated values for time, altitude, pressure and temperature correspond to the average value of the bin in the GCMS and HASI data. Associated methane mole fraction corresponds to the retrieved value for the binned data. From 30 km and below, we used the native GCMS vertical resolution. In this range, timestamps correspond to the exact time of each measurement according to GCMS clock. Corresponding altitude, pressure and temperature were calculated using a linear interpolation between the two nearest HASI points. Reported methane mole fractions and uncertainties correspond to the retrieved values for each altitude smoothed using a 10 points moving median.

opencc-by-4.0Oct 2024View details →

WetCH4: A Machine Learning-based Upscaling of Methane Fluxes of Northern Wetlands during 2016-2022

This dataset (WetCH4) contains methane (CH4) emissions using three different wetland maps, their uncertainties, and underlying flux intensities from northern wetlands (>45° N). The dataset is a data-driven upscaling product using observations from northern eddy covariance CH4 flux sites and random forest machine learning. WetCH4 provides daily CH4 fluxes of northern wetlands at 10-km resolution from 2016 to 2022 and can be used to study regional CH4 budgets and wetland responses to climate change. The data products are provided in netCDF format files (.nc) with more details in the attributes of the files. File list: - fch4_nmol_m2_s_10km_intensity.nc.gz and fch4_nmol_m2_s_10km_uncertainty.nc.gz:         The underlying flux intensities and associated uncertainties.   - fch4_10km_emi_wad2m.nc.gz and fch4_10km_emi_uncertainty_wad2m.nc.gz:         Upscaled CH4 emissions and uncertainties using WAD2M monthly dynamic wetland map.   - fch4_10km_emi_giems2.nc.gz and fch4_10km_emi_uncertainty_giems2.nc.gz:         Upscaled CH4 emissions and uncertainties using GIEMS2 monthly dynamic wetland map.   - fch4_10km_emi_glwd.nc.gz and fch4_10km_emi_uncertainty_glwd.nc.gz:         Upscaled CH4 emissions and uncertainties using static GLWD v1 wetland map.   Time range: 2016-01-01 - 2022-12-31 Time steps: daily, 2557 Geographic extent: longitude  180W  - 180E, latitude 45 - 90 N

opencc-by-4.0Feb 2021View details →

Methane isotopes in Krakow, Poland

IRMS measurement time series, CHIMERE modelled time series, sampled source signatures. Please refer to the following article: Menoud, M., van der Veen, C., Necki, J., Bartyzel, J., Szénási, B., Stanisavljević, M., Pison, I., Bousquet, P., Röckmann, T., 2021. Methane (CH4) sources in Krakow, Poland: insights from isotope analysis. Atmos. Chem. Phys. In press.

opencc-by-4.0Dec 2022View details →

High-resolution oil and gas methane emission inventory for the Permian Basin

This dataset consists of a high-resolution (0.01o × 0.01o) oil and gas methane emission inventory for the Permian Basin, developed at Environmental Defense Fund (<a href="http://www.edf.org">www.edf.org</a>). The Permian Basin in western Texas and southern New Mexico is the largest oil producing basin in the U.S., accounting for more than 40% of national oil production in 2021. It is also the nation's largest methane emitting basin, with recent measurement-based estimates of more than three million metric tons per year. Here, we develop an improved inventory of oil and gas methane emissions for the Permian Basin, based on recent facility-scale measurements and updated oil and gas activity data for the year 2021. Full details for the oil and gas methane emission inventory development and key results can be found in the following journal paper, which is under review at Earth System Science Data journal. Please cite the paper when using the methane inventory dataset: Omara, M., Gautam, R., O'Brien, M.A., Himmelberger, A., Franco, A., Meisenhelder, K., Hauser, G., Lyon, D.R., Chulakadaba, A., Miller, C.C., Franklin, J., Wofsy, S., and Hamburg, S.P. Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution. In review, Earth System Science Data journal (2023). Points of Contact at Environmental Defense Fund: Mark Omara (momara@edf.org) and Ritesh Gautam (rgautam@edf.org).

opencc-by-4.0Dec 2022View details →

Dataset: all TROPOMI detected plumes for 2021. [Schuit et al. 2023: Automated detection and monitoring of methane super-emitters using satellite data]

Dataset of all TROPOMI detected methane plumes in 2021, including estimates for the source location, emission quantification and source type. Corresponds to Figure 6 of Schuit et al. 2023 [Automated detection and monitoring of methane super-emitters using satellite data, https://doi.org/10.5194/acp-23-9071-2023]. Additional details and context are provided in Section 3 of the paper.   Contents and data formats date, date of the TROPOMI observation. format: YYYYMMDD time_UTC, time of the TROPOMI observation in UTC. format: HH:MM:SS lat, latitude of the center of the TROPOMI pixel at the estimated source location. format: float lon, longitude of the center of the TROPOMI pixel at the estimated source location. format: float source_rate_t/h, estimated emission source rate in tonnes per hour, the methodology is described in Section 2.5.1 of the paper. format: int uncertainty_t/h, the uncertainty of the emission source rate in tonnes per hour, the methodology is described in Section 2.5.1 of the paper. format: int estimated_source_type, the locally dominant anthropogenic source sector based on bottom-up inventories, the methodology is described in Section 2.5.3 of the paper. format: str   Full citation of the paper: Schuit, B. J., Maasakkers, J. D., Bijl, P., Mahapatra, G., van den Berg, A.-W., Pandey, S., Lorente, A., Borsdorff, T., Houweling, S., Varon, D. J., McKeever, J., Jervis, D., Girard, M., Irakulis-Loitxate, I., Gorroño, J., Guanter, L.,  Cusworth, D. H., and Aben, I.: Automated detection and monitoring of methane super-emitters using satellite data, Atmos. Chem. Phys., 23, 9071–9098, https://doi.org/10.5194/acp-23-9071-2023, 2023.

opencc-by-4.0May 2023View details →

Gridded products of global river methane concentrations, flux rates and emissions

Information on the products on this repository These data is created using the R scripts with the random forest models and upscaling procedures found in: https://github.com/rocher-ros/RiverMethaneFlux. Raw files to reproduce this product can be found in https://doi.org/10.5281/zenodo.7733604 The results of this analysis are published in the article "Global Methane emissions form rivers and streams" (in Nature) (https://doi.org/10.1038/s41586-023-06344-6). Main author is Gerard Rocher-Ros, for which correspondence can be sent to g.rocher.ros@gmail.com Units of the variables in the product are: -River methane concentration: mmol CH4 m-3 -River methane diffusive flux rates: mmol CH4 m-2 d-1 (of river area) -River methane diffusive emissions: Mega grams of C-CH4 (for each pixel). The spatial resolution of the product is 0.25 degrees (which corresponds to around 27 km). The files are in WGS84. There are four main products in this folder, packed as geotiff files, and described below. + The file "river_methane_yearly.tiff" contains three layers:     - Yearly average river CH4 concentrations (ch4_conc_avg)      - Yearly average river CH4 diffusive flux rates (ch4_flux_avg)     - Yearly total river CH4 diffusive emissions (ch4_emissions_year) + The file "river_methane_concs_monthly.tiff" contains twelve layers, with the modelled river methane concentrations for each month. + The file "river_methane_flux_monthly.tiff" contains twelve layers, with the modelled river methane flux rates for each month. + The file "river_methane_emissions_monthly.tiff" contains twelve layers, with the total river methane emissions for each month.

opencc-by-4.0Jul 2023View details →

Data from: Calculating global annual methane increases from satellite data using an ensemble dynamic linear model approach

NOTE: This is no official S5P/TROPOMI WFMD XCH4 L3-Dataset. This data is used and created by the example code provided in <a href="http://www.doi.org/10.5281/zenodo.8178927">10.5281/zenodo.8178927</a>, which is a supplement to the manuscript 'Zonal variability of methane trends derived from satellite data' (Hachmeister et al., 2024 ; 10.5194/acp-24-577-2024). This data can be downloaded to skip the gridding step in the mentioned example code, to avoid downloading the complete input data.

opencc-by-4.0Aug 2024View details →

Concentrations of methane, sulfate and lipid biomarkers and carbon isotope values oof lipids in the sediments from the outer Laptev Sea

The dataset contains the concentrations of methane, sulfate and microbial lipid biomarkers, and the carbon isotope composition of lipids in the sediment collected from the SWERUS-C3 expedition in 2014. The core sediment samples were from stations 13, 14 and 23 in the outer Laptev Sea. The field investigation reveals it is a methane seep area.

openCC (other)Nov 2021View details →

Methane and carbon dioxide fluxes from vegetated and open water zones of lakes in the Peace-Athabasca Delta, Alberta, Canada, 2019

Shallow areas of lakes, known as littoral zones, emit disproportionately more methane than open water but are sometimes ignored in upscaled estimates of lake greenhouse gas emissions. Littoral zone coverage may be estimated through synthetic aperture radar (SAR) mapping of emergent aquatic vegetation, which only grows in water less than ~1.5 m deep. In an accompanying publication, we combine airborne SAR mapping with field measurements of littoral and open-water methane flux to assess the importance of littoral zones to landscape-scale methane emissions. This dataset contains the field measurements of chamber methane flux from vegetated littoral zones and open water used for the accompanying publication. Measurements come from 24 distinct sampling events of 15 lakes in the Peace-Athabasca Delta, Alberta, Canada in July through August, 2019. The dataset also includes within-lake locations, carbon dioxide measurements, simple characterizations of vegetation type, and associated limnological and meteorological measurements, when available: water and air temperature, water depth, wind speed and direction, and relative humidity.

openCC (other)Sep 2020View details →

Methane ebullition and diffusion rates, turbulence, water temperature, and water depth data from Falling Creek Reservoir (Virginia, USA) in the ice-free period during 2016-2019

This dataset includes weekly and subweekly methane ebullition and diffusion rates collected from March through November in 2016, 2017, 2018, and 2019 in Falling Creek Reservoir (FCR), a drinking water reservoir owned and managed by the Western Virginia Water Authority and located in Vinton, Virginia, USA. In 2016, ebullition rates were measured at four near-shore sites along a longitudinal gradient in FCR that included four replicate locations within each site, for a total of 16 sites in the reservoir. In 2017, methane emission rates and five different potential environmental driver variables (water temperature, wind speed, pressure, turbulence, primary production) were measured at five longitudinal transects that included four replicate sites per transect, for a total of 20 sites in the reservoir. In 2018, ebullition was measured at the same five longitudinal transects but with two replicate sites per transect, for a total of 10 sites. In 2019, ebullition was only measured at the furthest upstream transect monitored in 2017-2018, with four replicate sites within that transect. The dataset consists of four tables: 1) weekly methane ebullition and diffusion rates and the water depths at each of the 24 unique monitoring sites; 2) 10-minute resolution sediment-water interface and surface water temperatures from 16 sites in 2017; 3) weekly sediment-water interface and surface turbulence at the four transects in 2017; and 4) geographical coordinates of each of the 24 sites in the reservoir.

Methane flux from experiemental plots near Toolik Lake, AK from 2002

The methane fluxes from tussock tundra and wet sedge plots near Toolik Lake, AK during the summer of 2002.

Methane flux from experiemental plots near Toolik Lake, AK from 2004

The methane fluxes from tussock tundra and wet sedge plots near Toolik Lake, AK during the summer of 2004.

Methane flux from experiemental plots near Toolik Lake, AK from 2005

The methane fluxes from tussock tundra and wet sedge plots near Toolik Lake, AK during the summer of 2005.

Methane flux from experiemental plots near Toolik Lake, AK from 2003

The methane fluxes from tussock tundra and wet sedge plots near Toolik Lake, AK during the summer of 2003.

openOpenJun 2017View details →

Alaskan Peatland Experiment (APEX): Static chamber methane fluxes from fen sites, 2005-2011 and 2015-2016

Methane fluxes were collected at APEX rich fen during the summers of 2005 - 2011 and 2015-2016. APEX Fen is located in the Bonanza Creek LTER outside of Fairbanks, AK. APEX Fen uses a full-factorial water table (flooded or raised, lowered or drained, and control treatments, as well as a moisture gradient). A warming manipulation (warmed, unwarmed treatment) was in place in 2005-2011, but ceased by 2014. In 2015, vegetation manipulation subplots were installed within the water table treatments.