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.

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.

The dataset consists of results of the electrochemical circle fit of the Nyquist plot generated by NOVA software to measure the Charge Transfer Resistance (RCT). Data demonstrates the curve of real and imaginary resistance against charges transmitted in the media of the carbon electrode biosensor. The change in RCT can detect the presence of the targeted antimicrobial resistance (AMR) DNA. The experiments were conducted by immersing the sensor's electrode in different concentrations of the target AMR DNA to determine the limit of detection. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/6bc69e2a-c771-4538-832e-2f6824b63474

These data comprise collection records of Heliconius butterfly samples collected in the Chocó-Darien ecoregion between the Andes and the Pacific in Ecuador and Colombia, and the Pacific coast of the Darien region of Panama. Samples were collected over five sampling trips between 2014 and 2016. Data were collected for a study of clinal variation across this region in Heliconius erato and Heliconius melpomene, so focus on these two species. However, in most cases all observed Heliconius species were collected. The dataset includes photographs of the wings of most of the specimens, which were used for an analysis of colour and pattern variation. Many of these individuals also have genomic information available for them on the European Nucleotide Archive (ENA) - the data includes ENA accession numbers. Data were collected as part of a NERC fellowship project (NE/K008498/1). Full details about this dataset can be found at https://doi.org/10.5285/cb23c552-caee-4221-bdd3-83b172139ae1

This is the web map service (WMS) for the 25m rasterised land parcels dataset of the UKCEH Land Cover Map of 2017 (LCM2017). It describes Great Britain and Northern Ireland land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. The data was derived by rasterising the corresponding LCM2017 land parcels datasets into 25m pixels. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

This is the web map service (WMS) for the 25m rasterised land parcels dataset of the UKCEH Land Cover Map of 2018 (LCM2018). It describes Great Britain and Northern Ireland land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. The data was derived by rasterising the corresponding LCM2018 land parcels datasets into 25m pixels. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

This view shows a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.

This web map service (WMS) shows a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant target class across the 1km area. The target classes broadly represent Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.

This web map shows positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In each Countryside Survey 2007 area vegetation plot the number of positive plant habitat indicators (taken from a list created from Common Standards Monitoring Guidance and consultation with the Botanical society of the British Isles (BSBI)) for the habitat type in which the plot is located are counted. This count is then divided by the possible indicators for that habitat type (and multiplied by 100) to get a percentage value. This is extrapolated to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in a Site of Special Scientific Interest (SSSI) (presence or absence data).

This is the web map service (WMS) for the 25m rasterised land parcels dataset of the UKCEH Land Cover Map of 2019 (LCM2019). It describes Great Britain and Northern Ireland land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. The data was derived by rasterising the corresponding LCM2019 land parcels datasets into 25m pixels. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.