AndreaBozzo/ceres-open-data-index huggingface dataset:
Datasets produced by Multiscale Impacts of Cyanobacterial Crusts on Landscape Stability (4/6) (NERC Grant NE/K011464/1)

Data from laboratory experiments conducted as part of project NE/K011464/1 (associated with NE/K011626/1) Multiscale Impacts of Cyanobacterial Crusts on Landscape stability. Soils were collected from two sites in eastern Australia and transferred to a laboratory at Griffith University, Queensland for conduct of experiments. Soils were A, a sandy loam, and B a loamy fine sand. Trays 120 mm x 1200 mm x 50 mm were filled with untreated soil that contained a natural population of biota. Soils were either used immediately for experiments (physical soil crust only: PC) or were placed in a greenhouse and spray irrigated until a cyanobacterial crust has grown from the natural biota. Growth was for a period of 5 days (SS), c.30 days (MS2) or c.60 days (MS1). Following the growing period (if applicable) trays were placed in a temperature/humidity controlled room at 35° and 30% humidity until soil moisture (measured 5 mm below the surface) was 5%. Trays were then subject to rainfall simulation. Rainfall intensity of 60 mm hr-1 was used and rainfall was applied for 2 minutes (achieving 2 mm application), 8 minutes (achieving 8 mm application) or 15 minutes (achieving 15 mm application). Following rainfall, trays were returned to the temperature/humidity-controlled room under UV lighting until soil moisture at 5 mm below the surface was 5%. A wind tunnel was then placed on top of each tray in turn and a sequential series of wind velocities (5, 7, 8.5, 10, 12 m s-1) applied each for one minute duration. On each tray the five wind velocities were run without saltation providing a cumulative dust flux. For the highest wind speed, an additional simulation run was conducted with the injection of saltation sands. Three replicates of each rainfall treatment were made. Variables measured include photographs, spectral reflectance, surface roughness, fluorescence, penetrometry, chlorophyll content, extracellular polysaccharide content, Carbon, Nitrogen and splash erosion and particle-size analysis (of wind eroded material). Details of rainfall simulator, growth of cyanobacteria, laser soil surface roughness characterisation and wind tunnel design and deployment in Strong et al., 2016; Bullard et al. 2018, 2019. Bullard, J.E., Ockelford, A., Strong, C.L., Aubault, H. 2018a. Impact of multi-day rainfall events on surface roughness and physical crusting of very fine soils. Geoderma, 313, 181-192. doi: 10.1016/j.geoderma.2017.10.038. Bullard, J.E., Ockelford, A., Strong, C.L., Aubault, H. 2018b. Effects of cyanobacterial soil crusts on surface roughness and splash erosion. Journal of Geophysical Research – Biogeosciences. Doi: 10.1029/2018. Strong, C.S., Leys, J.F., Raupach, M.R., Bullard, J.E., Aubault, H.A., Butler, H.J., McTainsh, G.H. 2016. Development and testing of a micro wind tunnel for on-site wind erosion simulations. Environmental Fluid Mechanics, 16, 1065-1083.

Tags: Bacteria, NERC_DDC, Rainfall, Soils, Wind erosion
Organization: British Geological Survey (BGS)
Supporting data for 'DFENS: Diffusion chronometry using Finite Elements and Nested Sampling' (NERC Grant NE/L002507/1)

This is supporting data for the manuscript entitled 'DFENS: Diffusion chronometry using Finite Elements and Nested Sampling' by E. J. F. Mutch, J. Maclennan, O. Shorttle, J. F. Rudge and D. Neave. Preprint here: https://doi.org/10.1002/essoar.10503709.1 Data Set S1. ds01.csv Electron probe microanalysis (EPMA) profile data of olivine crystals used in this study. Standard deviations are averaged values of standard deviations from counting statistics and repeat measurements of secondary standards. Data Set S2. ds02.csv Plagioclase compositional profiles used in this study, including SIMS, EPMA and step scan data. Standard deviations for EPMA analyses are averaged values of standard deviations from counting statistics and repeat measurements of secondary standards. Standard deviations for SIMS and step scan analyses are based on analytical precision of secondary standards. Data Set S3. ds03.csv Angles between the EPMA profile and the main olivine crystallographic axes measured by electron backscatter diffraction (EBSD). 'angle100X' is the angle between the [100] crystallographic axis and the x direction of the EBSD map, 'angle100Y' is the angle between [100] crystallographic axis and the y direction of the EBSD map, and 'angle100Z' is the angle between the [100] crystallographic axis and the z direction in the EBSD map etc. 'angle100P' is the angle between the EPMA profile and the [100] crystallographic axis, 'angle010P' is the angle between the EPMA profile and the [010] crystallographic axis, and 'angle100P' is the angle between the EPMA profile and the [001] crystallographic axis. All angles are in degrees. Data Set S4. ds04.csv Median timescales and 1 sigma errors from the olivine crystals of this study. The +1 sigma (days) is the quantile value calculated at 0.841 (i.e. 0.5 + (0.6826 / 2)). The -1 sigma (days) is therefore the quantile calculated at approximately 0.158 (which is 1 - 0.841). The 2 sigma is basically the same but it is 0.5 + (0.95/2). The value quoted as the +1 sigma (error) is the difference between the upper 1 sigma quantile and the median. Likewise the -1 sigma (error) is the difference between the median and the lower 1 sigma quantile. Data Set S5. ds05.xlsx Median timescales and 1 sigma errors from the plagioclase crystals of this study. Results from each of the parameterisations of the Mg-in-plagioclase diffusion data are included: Faak et al, (2013), Van Orman et al., (2014) and a combined expression. Data Set S6. ds06.xlsx Spreadsheet containing the regression parameters and covariance matrices used in this study and in Mutch et al. (2019). Additional versions of the olivine regressions where the ln fO2 is expressed in Pa have been made for completeness. We recommend using the versions where ln fO2 is expressed in its native form (bars).

Tags: Diffusion, Finite element analysis, Magma, NERC_DDC, Olivine, Plagioclase
Organization: British Geological Survey (BGS)
Shortwave infrared (SWIR) data of hydrothermal alteration from the island of Milos, Greece (NERC Grant NE/L002434/1)

This dataset provides an overview of hydrothermal alteration samples from the island of Milos, Greece, that were analysed using a portable infrared mineral analyser (PIMA) or AgriSpec spectrometer. During data acquisition, spectrums were input into The Spectral Geologist (TSG) to provide an instant and estimated mineral identification using the shortwave infrared (SWIR) part of the electromagnetic spectrum. The samples were acquired during field visits between 2017 - 2019 by the British Geological Survey and the GW4+ Doctorial Training Partnership (NE/L002434/1). This data was primarily used to aid sample collection for further hydrothermal alteration analyses to improve our understanding of regional and local paleo-hydrothermal activity across the island. Identification by the TSG provides an estimation only, and the raw data files in .txt, .fos and .csv formats, are supplied for each analysis in the attached zipped file. This may be useful within the metallic and industrial mineral mining sector and associated researchers. The data includes grid references (± 5 m), TSG interpretations, and field/sample observations noted during data acquisition. GW4+ Doctoral Training Partnership (NE/L002434/1) is supported by grant award GA/09F/139 – RMS E3557, and the British Geological Survey’s University Funding Initiative (BUFI S345).

Tags: Bentonite, Clays, Economic geology, Hydrothermal alteration, Mineral deposits, Mining, NERC_DDC, Sulphates
Organization: British Geological Survey (BGS)
Whole-rock XRD (X-ray diffraction) data of hydrothermal alteration from the island of Milos, Greece

Summary of semi-quantitative whole-rock XRD analysis of hydrothermal alteration across the island of Milos, Greece. The samples were acquired during numerous field visits between 2010 and 2018 by the British Geological Survey and GW4+ Doctorial Training Partnership (NE/L002434/1). The data were acquired using a PANAlytical X’Pert Pro diffractometer at the British Geological Survey, Keyworth, UK. These data were primarily used to identify mineral phases to improve our understanding of regional and local paleo-hydrothermal activity. This may be useful within the metallic and industrial mineral mining sector and associated researchers. The data includes grid references (± 5 m), field observations and instrument running conditions. Samples from 2010 are supported by a grant award from the Natural Environment Research Council (GA/09F/139). Samples from 2016 - 2018 are supported by the GW4+ Doctoral Training Partnership (NE/L002434/1) grant award GA/09F/139 – RMS E3557, and the British Geological Survey’s University Funding Initiative (BUFI S345).

Tags: Clays, Hydrothermal alteration, Mineralogy, NERC_DDC, Volcanic rocks
Organization: British Geological Survey (BGS)
BGS Permeability Index version 8

The BGS Permeability Index dataset shows estimated rates of water movement from the ground surface to the water table. The v8 dataset incorporates the latest geology mapping (BGS Geology 50k). This includes updates to the lithology-coding schema, the LEX_RCS. A 2-part code used to identify the named rock unit from the BGS lexicon of named rock units (LEX) followed by a Rock Classification Scheme (RCS) code which describes the rocks lithological characteristics e.g. texture and composition. Updates to these codes and latest dissolution hazard data sourced from BGS GeoSure: Soluble Rocks have been reviewed and classified as part of the version 8 release. The dataset covers Great Britain and is presented at a scale of 1:50 000, based on the geological data at the same scale. However, in areas where the geology is not mapped to this scale, the next best available scale is used. The BGS Permeability Index can be used to compare the relative permeability of deposits at the regional scale, indicating where highly permeable rocks could allow rapid infiltration to occur, or where less permeable rocks are present and water could pond on the ground surface. The dataset can be used as a component in a wide range of geo-environmental assessments such as natural flood management, Sustainable Drainage Systems, engineering desk studies, slope stability, and aquifer vulnerability. It is for use at the regional scale and is not recommended for use at the site-specific scale.

Tags: Ground water movement, Hydrogeology, NERC_DDC, Permeability
Organization: British Geological Survey (BGS)
Magnetotelluric and Transient Electromagnetic data from Afar, Ethiopia (NERC Grant NE/E007147/1)

This data set comprises broadband magnetotelluric (MT) and transient electromagnetic (TEM) data collected during three field seasons in 2008, 2009 and 2010 by a team of researchers from the University of Edinburgh, UK, IMAGIR, Brest, France and the Institute for Geophysics, Space Science and Astronomy at Addis Ababa University, Ethiopia. The MT dataset includes the original time series and processed transfer functions. The time series data are provided in the original raw data format with files to convert them to ascii. Raw and processed TEM data, collected with a Geonics PROTEM system, are included. We provide information on the locations and the processing and include the necessary instrument response functions and metadata to reproduce our results from the raw data.

Tags: Magnetotelluric surveys, NERC_DDC, Rift faults, Rift zone
Organization: British Geological Survey (BGS)
Micro CT Images of Borehole GGC01

These images were acquired using micro computed tomographic imaging of 4 sandstone plugs taken at various depths in the Glasgow UKGEOS borehole GGC01. GG496 (170.07 m), GG497 (168.66 m), GG498 (73.37 m) and GG499 (135.06 m). These samples are further detailed and analysed in the following article: http://dx.doi.org/10.1144/petgeo2020-092.

Tags: Carbon, Carbon capture and storage, Coal fields, NERC_DDC, Petrophysics, Porosity, Sandstone, Tomography
Organization: British Geological Survey (BGS)
UKCCSRC 2018: Report and data resulting from the UKCCSRC project 'Optimising methanol production from steel manufacture off-gases'

Two categories of data are presented: 1) Experimental data of catalyst performance under conditions for a Blast Furnace Gas (BFG) to methanol to process, comprising the monitored gas phase species evolution in a single channel micro reactor. 2) Process simulation and techno-economic analysis of the BFG-to-methanol process, comprising Aspen Plus V10 anotated process flowsheet, process model summary, stream results, reactor performances and cost analysis calculation. Funded by UKCCSRC 2018 Flexible Funding Call

Tags: Blast furnaces, Carbon capture and storage, Carbon dioxide, Hydrogenation, Methanol, NERC_DDC
Organization: British Geological Survey (BGS)
Property Subsidence Assessment dataset

The property subsidence assessment dataset provides an understanding of the shrink-swell hazard at both the individual property and/or postcode level for England and Wales. It builds upon the BGS GeoSure shrink-swell data by mapping the hazard to the individual building polygon and considering the other susceptibility factors of building type, foundation depth, and drainage and tree proximity. The data consist of GIS building polygons with an overall susceptibility to subsidence score between 1-100. Scores are also classified from non-plastic to very high. Each building polygon is also scored from 1-10 for each subsidence factor (geology, foundation, drainage, building type, building storey and tree proximity). Postcode data is also available as a table showing the ‘average’ PSA score for all buildings within the postcode. The identification of shrink-swell related subsidence prone areas, alongside the inclusion of potential sources to exacerbate these phenomena, can better inform insurers and homeowners and form the basis to make decisions concerning prevention and remediation. The product enhances geological information obtained from GIP (BGS GeoSure Insurance Product) and GeoSure via the inclusion of the crucial shrink-swell susceptibility factors (proximity to trees and foundation depth). This therefore allows the derivation of a risk element for the housing stock at Building level, which is then generalised to Postcode level. BGS GeoSure - a series of GIS digital maps identifying areas of potential natural ground movement hazard in Great Britain

Tags: Foundations, NERC_DDC, Property damage, Shrink-swell clays, Subsidence
Organization: British Geological Survey (BGS)
Post-exploration monitoring of soil gas results on Polish shale gas sites

The dataset contains details of field collection of soil gas samples with use of Supel Inert Foil gas sampling bags and the results of methane, ethane, carbon dioxide measurements performed within the environmental monitoring campaign in vicinity of abandoned boreholes on 2 Polish shale gas exploration sites where operations including hydraulic fracturing were conducted in 2010-2016 period.

Tags: Gas chromatography, NERC_DDC, Soil gas sampling
Organization: British Geological Survey (BGS)
Datasets produced by Multiscale Impacts of Cyanobacterial Crusts on Landscape Stability (6/6) (NERC Grant NE/K011464/1)

Data from laboratory experiments conducted as part of project NE/K011464/1 (associated with NE/K011626/1) Multiscale Impacts of Cyanobacterial Crusts on Landscape stability. Soils were collected from two sites in eastern Australia and transferred to a laboratory at Griffith University, Queensland for conduct of experiments. Soils were A, a sandy loam, and B a loamy fine sand. Trays 120 mm x 1200 mm x 50 mm were filled with untreated soil that contained a natural population of biota. Soils were either used immediately for experiments (physical soil crust only: PC) or were placed in a greenhouse and spray irrigated until a cyanobacterial crust has grown from the natural biota. Growth was for a period of 5 days (SS), c.30 days (MS2) or c.60 days (MS1). Following the growing period (if applicable) trays were placed in a temperature/humidity controlled room at 35° and 30% humidity until soil moisture (measured 5 mm below the surface) was 5%. Trays were then subject to rainfall simulation. Rainfall intensity of 60 mm hr-1 was used and rainfall was applied for 2 minutes (achieving 2 mm application), 8 minutes (achieving 8 mm application) or 15 minutes (achieving 15 mm application). Following rainfall, trays were returned to the temperature/humidity-controlled room under UV lighting until soil moisture at 5 mm below the surface was 5%. A wind tunnel was then placed on top of each tray in turn and a sequential series of wind velocities (5, 7, 8.5, 10, 12 m s-1) applied each for one minute duration. On each tray the five wind velocities were run without saltation providing a cumulative dust flux. For the highest wind speed, an additional simulation run was conducted with the injection of saltation sands. Three replicates of each rainfall treatment were made. Variables measured include photographs, spectral reflectance, surface roughness, fluorescence, penetrometry, chlorophyll content, extracellular polysaccharide content, Carbon, Nitrogen and splash erosion and particle-size analysis (of wind eroded material). Details of rainfall simulator, growth of cyanobacteria, laser soil surface roughness characterisation and wind tunnel design and deployment in Strong et al., 2016; Bullard et al. 2018, 2019. Bullard, J.E., Ockelford, A., Strong, C.L., Aubault, H. 2018a. Impact of multi-day rainfall events on surface roughness and physical crusting of very fine soils. Geoderma, 313, 181-192. doi: 10.1016/j.geoderma.2017.10.038. Bullard, J.E., Ockelford, A., Strong, C.L., Aubault, H. 2018b. Effects of cyanobacterial soil crusts on surface roughness and splash erosion. Journal of Geophysical Research – Biogeosciences. doi: 10.1029/2018. Strong, C.S., Leys, J.F., Raupach, M.R., Bullard, J.E., Aubault, H.A., Butler, H.J., McTainsh, G.H. 2016. Development and testing of a micro wind tunnel for on-site wind erosion simulations. Environmental Fluid Mechanics, 16, 1065-1083.

Tags: Bacteria, NERC_DDC, Rainfall, Soils, Wind erosion
Organization: British Geological Survey (BGS)
Marine Scotland (MSO) Geophysical Survey 2012/2_MS: North coast Scotland – West Mainland Orkney (27/Feb/2012 to 12/Mar/2012)

This marine geophysical survey took place in February/March 2012 in the area of North coast Scotland and Orkney on board the FRV Alba Na Mara. The survey was carried out by the British Geological Survey (BGS) on behalf of Marine Scotland. Sub bottom seismic profiling data were collected using an Applied Acoustics surface tow boomer (STB). These data are archived by BGS and are also available on Marine Scotland Interactive (MSI) - http://www.gov.scot/Topics/marine/science/MSInteractive/Themes/Renewables/Data. Technical details of the survey are contained in the Report of Survey.

Organization: British Geological Survey (BGS)
Scottish Natural Heritage (SNH) Multibeam Survey 2011/8_SNH: Moray Firth (09/Aug/2011 to 17/Aug/2011)

This marine multibeam survey took place in August 2011 in the area around Noss Head and the Southern Trench in the Moray Firth on board the Northern Lighthouse Board vessel NLV Pole Star. The survey was carried out by the British Geological Survey (BGS) on behalf of Marine Scotland and Scottish Natural Heritage (SNH) for Marine Protected Area (MPAs) related studies. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system. These data are archived by BGS. Technical details of the survey are contained in the Report of Survey.

Organization: British Geological Survey (BGS)
Natural Environment Research Council (NERC) Geophysical and Multibeam Survey 2011/4 QICS: Ardmucknish Bay (14/Jun/2011 to 17/Jun/2011)

This marine multibeam and geophysical survey took place in June 2011 in the Ardmucknish Bay area on board the BGS survey vessel RV White Ribbon. The survey was carried out by the British Geological Survey (BGS) in collaboration with Scottish Association for Marine Science (SAMS) and National Oceanography Centre (SAMS). QICS (Quantifying and monitoring potential ecosystem impacts of geological carbon storage) was a scientific research project funded by NERC. The purpose was to collect the data necessary to identify a potential directional drilling route from shore to a submerged gas release point. Sea floor bathymetry data were collected using an EM3002D. Sub bottom seismic profiling data were collected using a surface tow boomer. These data are archived by BGS. Upon completion of the QICS study area additional seismic profiles were collected in the neighbourhood. Technical details of the survey are contained in BGS Report of Survey. Webpage www.bgs.ac.uk/QICS/.

Organization: British Geological Survey (BGS)
Scottish Natural Heritage (SNH) Multibeam Survey 2011/7_SNH: Canna (01/Jul/2011 to 11/Jul/2011)

This marine multibeam survey took place in July 2011 in the area around the Isle of Canna on the west coast of Scotland on board the Northern Lighthouse Board vessel NLV Pole Star. The survey was carried out by the British Geological Survey (BGS) on behalf of Marine Scotland and Scottish Natural Heritage (SNH). Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system. These data are archived by BGS. Technical details of the survey are contained in the BGS Report of Survey (OR/11/045), http://nora.nerc.ac.uk/id/eprint/516268/

Organization: British Geological Survey (BGS)
British Geological Survey (BGS) Multibeam Survey 2010/9: Determination of lakebed habitats and sub-lakebed processes, Lake Windermere (18/Sep/2010 to 27/Sep/2010)

This joint British Geological Survey (BGS) and National Oceanography Centre, Southampton (NOCS) marine multibeam and geophysical survey took place in September 2010 in Lake Windermere on board the RV White Ribbon. The purpose was to produce a bathymetric map of the lake, in a bid to determine the late glacial and post glacial processes, using sediments from within Windermere and identification of lakebed habitats. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system. These data are archived by BGS.

Organization: British Geological Survey (BGS)
Scottish Environmental Protection Agency (SEPA) Multibeam Survey 2010/4_SEPA: Upper Firth of Forth; Forth Bridge to Grangemouth (19/Jul/2010 to 30/Nov/2010)

This marine multibeam Survey took place in July/November 2010 in the Firth of Forth on board the RV White Ribbon. The survey was carried out by the British Geological Survey (BGS) on behalf of Scottish Environment Protection Agency (SEPA). Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system. These data are archived by BGS.

Organization: British Geological Survey (BGS)
British Geological Survey (BGS) Geophysical and Multibeam Survey 2011/10_JC060:Stornoway Bay subset: Stornoway Bay (19/May/2011 to 19/May/2011)

This National Oceanography Centre (NOC) marine geophysical and multibeam survey took place in May/June 2011 on board the RRS James Cook. This data is a subset from the survey collected as a MAREMAP initiative at BGS request over BGS borehole BH78/4. Sea floor data bathymetry were collected using EM710 and sub bottom seismic profiling data were gathered using a SBP120. Other data from the survey are held at NOC. Survey details contained in NOC cruise report No. 4. The cruise was related to and supported by the NERC MAREMAP programme, the EC FP7 IP HERMIONE (grant agreement 226354) and the ERC Starting Grant project CODEMAP (ERC Grant 258482). Additional funding to support ROV work was obtained from the Joint Nature Conservation Committee (JNCC) and the Lenfest Ocean Program/PEW Foundation. Any published material resulting from these data (Stornoway Bay) must include in the acknowledgements text acknowledging the acquisition cruise, its funding streams and chief scientist (V A I Huvenne).

Organization: British Geological Survey (BGS)