The BGS Debris Flow Susceptibility Model for Great Britain v6.1 is a 1:50 000 scale raster dataset of Great Britain providing 50 m ground resolution information on the potential of the ground, at a given location, to form a debris flow. It is based on a combination of geological, hydrogeological and geomorphological data inputs and is primarily concerned with potential ground stability related to natural (rather than man-made) geological conditions and slopes. The dataset is designed for those interested specifically in debris flow susceptibility at a regional or national planning scale such as those involved in construction or maintenance of infrastructure networks (road or rail or utilities), or other asset managers such as for property (including developers and home owners), loss adjusters, surveyors or local government. The dataset builds on research BGS has conducted over the past 15 years investigating debris flows. The model was designed to identify potential source-areas for debris flows rather than locate where material may be deposited following a long-run-out failure i.e. the track and flow of debris. This work focuses on natural geological and geomorphological controls that are likely to influence the initiation of debris flows. It therefore, does not consider the influence of land use or land cover factors.

Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects (Instrument) project.

The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5 model output for the "2-year Covid-19 emissions blip followed by moderate-green stimulus recovery, based upon ssp245" (ssp245-cov-modgreen) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.

Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k "Nimbus" deployed at Budapest, Hungary. These data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide. The site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-12843. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. EUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.

Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Pirkkala Tampere Pirkkala Lentoasema, Finland. These data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide. The site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101118. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. EUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.

PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the "coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)" (control-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, Prim3hr, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i1p2f1, r2i1p2f1 and r3i1p2f1. PRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project. The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.

The data was generated from a range of laboratory experiments where a range of silicate rocks (granite, basalt, peridotite) were crushed in oxygen-free conditions, deoxygenated water added, and the generation of hydrogen gas and hydrogen peroxide followed over a week. Results were compared to rock-free controls. The data was collected to provide insight into the production of oxidants (such as hydrogen peroxide) along tectonically active regions of the subsurface, and how the oxidants might influence subsurface microbiology.

The dataset describes the results of high pressure experimental measurements of three contrasting 'tight' rocks; a Bowland Shale, a Haynesville shale and Pennant sandstone. The results are tabulated as a csv file, listing experimental parameters, confining pressure, argon gas pore pressure and permeability. complementary measurements of key petrophysical data are provided - bulk modulus of compressibility, porosity TOC and density.

Wind, sediment transport and surface/saltation data collected at Huab River Valley during a field campaign in September 2019 to investigate saltation on gravel and sand surfaces. Surface/saltation data: This is terrestrial laser scanned (TLS) data collected over sand and gravel surfaces during multiple days when saltation was active, on a surface approximately 8 m from the TLS, perpendicular to the wind direction. The data is raw point cloud format in text columns of x, y and z coordinate data. Files are named *_^_scan& where * is the date that the data was collected in yymmdd format, ^ is surface type (sand or gravel) and & is the scan number. Each data set uses the same coordinate system. Data can be viewed in any spatial software. Wind and sediment data were collected from a fixed point on each surface, directly downwind of the TLS data. The data is in csv file format with column titles and can be viewed in any text or database software. Data include hot wire measurements at different heights, Wenglor counts, sensit counts and 3D sonic measurements on some days. Sonic data is at 10 Hz, hotwire data at 10 second intervals, transport data is given within both datasets.

Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Jomala Maarianhamina Lentoasema, Finland. These data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide. The site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-100907. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. EUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.