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  • This image dataset was captured as part of the operation of an automated weather station at the Virkisjökull-Falljökull Glacier, SE Iceland. The station formed part of the BGS Iceland Glacier Observatory network of sensors, deployed between 2009 and 2020 in order to characterise and identify glacial, geomorphological and hydrological drivers and processes and their timescales across the deglaciating Virkisjökull-Falljökull catchment in SE Iceland. This image time series was captured at (WGS-84) 63°58’12.78?N 16°47’5.64?W, on a lateral moraine sequence adjacent to the glacier icefall and were generated alongside the continuous operation of two further weather stations, river gauging, a network of groundwater level gauges and numerous other forms of monitoring. The records presented here begin in September 2011 with the installation of the camera on the weather station, and continue to February 2018. The data complements the published groundwater and river gauging datasets published here, and will be of use to researchers, teachers and students wishing to see an excellent example of glacier flow, or those interested in the processes observed in a rapidly deglaciating landscape, including anyone interested to follow up on the various research studies published from this site in the international literature. The BGS project was led and coordinated by Dr Jez Everest, and during earlier years Tom Bradwell (Uni of Stirling, formerly BGS). Technical support and implementation was provided by Heiko Buxel and Tom Shanahan. The dataset is not fully continuous as certain periods were lost due to equipment downtime. Enquiries are welcome and should be directed to Dr Everest.

  • Photos and videos collected during earthquake damage surveys of the village of Amatrice, central Italy. The earthquake struck on the 24th of August 2016 at 3:36 am local time, a Mw 6.2 earthquake struck a mountainous region of central Italy on the borders between Umbria, Marche, Lazio and Abruzzo. The Earthquake Engineering Field Investigation Team (EEFIT) mission ran from the 4th to the 15th of October 2016. The three main aspects investigated were the ground surface effects caused by the earthquake, the structural damage of masonry buildings and bridges and the effects of the earthquake on reinforced concrete structures and infrastructure.

  • Field photographs showing sedimentology, sediment and porewater collection techniques, coastal Abu Dhabi, UAE. Collected as part of NERC Grant NE/L011050/2: Rethinking carbonate diagenesis: clues to past carbon cycling from an overlooked carbon sink.

  • This dataset contains folders of field photographs. Photographs were collected from 4 different field locations - Warton, Glengarnock, Derwent Howe, Harrington. There is a folder for each location, and within each of those there are folders labelled by whether they are contextual, or of samples. The data was collected between 2021 and 2023. The data was collected for the purpose of documenting the appearance and characteristics of samples collected. The data was collected by John MacDonald and Robin Hilderman (University of Glasgow) who retain the original data.

  • Field photographs of rock formations or modern precipitates from the sedimentary environment. Samples were collected throughout the UK. This data was collected between February 2019 and November 2019. This data was collected to better understand the low temperature cycling of Telurium (Te) and Sellenium (Se) in the geological environment. For example, a range of ochre samples were included in this data. Ochres are a modern precipitate commonly found in rivers and streams which flow through geographical areas with a history of mining resources which are rich in sulphides. Iron from the sulphides are leached out and deposited downstream, coating river and stream beds, giving a red, yellow or orange colouration. Ochres can be a sink for trace metals such as Te and Se, therefore studying these environments could be informative from a resource perspective but also from an environmental hazard perspective. This data would be useful for researchers who require reference photographs for similar studies or as an aid for resampling.

  • Measurements of the aspect ratio of plagioclase grains in dolerites from sills. Photomicrographs (several per sample across each of the sills, at a magnification such that the long side of the field of view is 4.5mm long) are each accompanied by a drawing showing a pair of lines for each observable grain, giving the long and short axis of the grain intersection as viewed in thin section, together with a drawing showing only the long axes of each grain. A summary file provides the number of grains measured in each sample, together with the average aspect ratio, with 1σ uncertainties calculated using a bootstrap method. The grain size is reported for all grains measurable in the set of photomicrographs (in mm), and is taken as the length of the long axis for each grain intersection in thin section. The average grain size and the skew of the population is also provided. The choice of the area in each thin section to photograph and analyse was random, although any areas of late-stage alteration were avoided. This dataset is useful to anyone seeking to quantify plagioclase grain size in tabular mafic intrusions.

  • Digital images of petrology rock thin sections from samples that are referenced in the BGS Petrological Collection Database (Britrocks). Two reference images are being captured for each thin section, one taken in Plane Polarized Light (PPL) and the other in Crossed Polarized Light (XPL). The Britrocks database provides an index to the BGS mineralogical & petrological collection. The computer database covers samples in the UK onshore mapping collection together with worldwide reference minerals and the Museum Reserve collection. The first England and Wales collection sample is from circa 1877, Threshthwaite Comb, Cumbria (collected by the Reverend Clifton Ward). The addition of new samples, transfer of records from registers and updates of existing records is ongoing on a regular basis. Internet access to the database is provided on the BGS web site. Capture of the Scottish Collections began February 2012. Capture of the English and foreign collections began in December 2012.

  • Imagery taken with a DJI Phantom 4 Pro drone using the as supplied RGB camera for part of the slopes above the A83 Rest and Be Thankful, Scotland in 2016. Images cover part of the slopes affected by Storms Desmond and Frank.

  • This dataset comprises approximately 18600 nadir images taken from a UAS (Unmanned Aircraft Systems) and saved as .jpg files. The dataset broadly covers the area of proximal Skeiðarársandur area (~63.9 N, 17.3 W), and Skeiðarársandur coastline (63.7 N, 17.5 W) at the mouth of Gígjukvísl on 18th April 2022 in Southern Iceland. The data set broadly stretches for an area 11 km east, and 8 km north in the proximal Skeiðarársandur area. The coverage is variable as the imagery is centred on the proglacial lakes and associated drainage rivers. Data was collected over two field campaigns after the December 2021 Glacial Lake Outburst Flood, with collections occurring in April and June 2022. Flights were conducted at 120 m elevation with >60% overlap between images. Ground control points collected in the GNSS (Global Navigation Satellite System ) dataset were used to georeference the imagery. The images were collected to quantify the impacts of the flood and to try and identify strand lines and high water marks. Newcastle University was responsible for collection of the data.

  • This image dataset was captured as part of the operation of a river gauging station on the Virkisá River, SE Iceland. The station formed part of the BGS Iceland Glacier Observatory network of sensors, deployed between 2009 and 2020 in order to characterise and identify glacial, geomorphological and hydrological drivers and processes and their timescales across the deglaciating Virkisjökull-Falljökull catchment in SE Iceland. The records presented here begin in September 2011 with the installation of the river gauging station, and continue to August 2020. Responsibility for the station passed to the Icelandic Meteorological Office in January 2018. The gauge is understood to remain operational as at August 2024. The data complements the published meteorological and river gauging datasets published here, and will be of use to researchers and students interested in the hydrology of a rapidly deglaciating landscape, including anyone interested to follow up on the various research studies published from this site in the international literature.