This dataset contains carbon dioxide concentration measurements from the British Antarctic Survey's Halley Research Station in Antarctica. The Picarro G2301 analyser was used for the measurement of carbon dioxide and located at the Clean Air Sector Laboratory (CASLab). Data times were averaged from the 1 minute data to provide hourly data sets. The UK participation of Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA) was funded by the Natural Environment Research Council (NERC, grant: NE/P021360/1).

UKCCSRC Flexible Funding 2020. Experimental data are the acoustic emission (AE) signals collected with three AE sensors when CO2 leak from a CO2 storage cylinder under different pressures. '5MPa_20kgh-1' means the data was collected when the pressure was 5MPa and the leakage rate was 20 kg/h. The sampling frequency of AE signals is 3MHz. UKCCSRC Flexible Funding 2020: Monitoring of CO2 flow under CCS conditions through multi-modal sensing and machine learning.

This dataset contains atmospheric carbon dioxide and methane measurements taken from Bachok Marine Research Station, Malaysia using Los Gatos Research (LGR) Fast Greenhouse Gas Analyser (FGGA) from 2015 to present. LGR FGGA measures trace concentrations of methane (CH4), carbon dioxide (CO2) and water vapor (H2O) simultaneously in flowing gaseous samples (usually air) at rates up to ≥10 Hz. Backok Research Station is located on the east coast of Malaysia, within 100 m of the waters' edge of the South China Sea. This facility is part of the Institute of Ocean and Earth Sciences (IOES) at the University of Malaya (UM). An atmospheric observation tower has been built on the windward side of the main building, for the specific purpose of studying long range transported pollution, air sea exchange, and coastal meteorology. The UK participation of the Methane Observations and Yearly Assessments (MOYA) project was funded by the Natural Environment Research Council (NERC, grant: NE/N015584/1).

This dataset contains atmospheric carbon dioxide, oxygen and atmospheric potential oxygen data from the Cap San Lorenzo container ship. A Li-6252 CO2 analyser and Oxzilla II O2 analyser was used for measurement. The UK participation of Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA) was funded by the Natural Environment Research Council (NERC, grant: NE/P021360/1).

This dataset comprises ECLIPSE input decks for a 3D reservoir simulation of the CO2 plume at the Sleipner CO2 injection site. This whole reservoir model is an attempt to history match the growth of the plume observed on seismic data. A seismic velocity and density model derived from the 3D reservoir simulation is also included, together with a series of Seismic Unix scripts to create a synthetic seismic section through the Sleipner reservoir model, for comparison with released time-lapse seismic data.

The data presented herein comprises raw and upscaled medical X-Ray CT data, MATLAB processing files and MATLAB analytical model files for the paper ‘Rate dependency of capillary heterogeneity trapping for CO2 storage’. The medical X-ray CT data is organised as three repeat experiments, each at a different flow rate. Full core scans capture the steady state core flood experiments. The core is a heterogenous Bentheimer outcrop (39 mm diameter, 15 cm length). Experimental MATLAB processing files upscale the saturation values in 3D. Post-processing MATLAB files are used to produce figures in the paper. The MATLAB analytical model files contain input parameters and code needed to run the analytical model and compare with experimental results.

Isotope tracing data for 14C, 15N and 33P tracing between plants and symbiotic fungi in Lycopdiella inundata, Anthoceros and Phaeoceros sp. and Lunularia cruciata. All plants tested and traced in atmospheric CO2 conditions of 440 ppm [CO2] and 800 ppm [CO2]. Datasets includes total mass of plants and soils, Bq in each component of experimental systems and values in Bq and mg where appropriate.

BGS identified a requirement to develop methane and carbon dioxide gas emission data holdings in a format that would be suitable both for BGS GeoReports and for value added resellers, such as Landmark, so that information on methane (CH4) and carbon dioxide (CO2) gas emission hazards from natural sources and coal mining can be included in reports for house buyers and developers. Rock strata and unconsolidated deposits can be classified using BGS 1:50,000 scale DiGMapGB data (or 1:250,000 for those sectors of Wales for which 1:50,000 scale geological data is not availabe) according to their susceptibility to gas seepages.

This dataset contains atmospheric carbon dioxide, oxygen and atmospheric potential oxygen data from the Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA) was funded by the Natural Environment Research Council (NERC, grant: NE/P021360/1).

Here we present the dataset collected during a CO2 flow-through test using a synthetic sandstone of high porosity and permeability, originally saturated with high salinity brine, performed under realistic shallow reservoir conditions stress. During the test, we collect geophysical data (elastic and electrical properties) which record petrophysical variations in the rock related to the precipitation of salt, induced by a continuous CO2 flow through the sample.