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Reflectance transformation image of a cast (BGS fossil reference number GSM106161) of the holotype of Charniodiscus concentricus. The original fossil is the property of the Geology Department, University of Leicester, and the fossil is on display at New Walk Museum, Leicester
This dataset contains concentrations of dissolved organic carbon, inorganic carbon, CO2, CH4 and N2O in the Black Burn stream which drains Auchencorth Moss peatland in South East Scotland. Concentrations and fluxes have been measured within the Black Burn on an approximately weekly to fortnightly basis from approximately 2006 to present (see https://doi.org/10.5285/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe). Concentrations in this dataset are from a series of new sites, upstream of the long-term sampling record, adjacent to an area of drains blocked by Scottish Natural Heritage. Measurements began during the drain blocking. Data was collected initially as part of a masters project for University of Edinburgh through Scotland's Rural College and continued by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/88ffbf44-0ec0-41d6-9814-04bc3535cd84
The dataset is a subset of the BGS borehole material database, created on August 1st 2015 covering only the Bowland-Hodder geological unit (as defined and mapped by Andrews et al., 2013). It shows all boreholes (name, location and registration details) for which BGS hold borehole material (drillcore, cuttings, samples and their depth ranges). This data will add value to existing NERC (Natural Environment Research Council) data by allowing a simple route for users to identify borehole material from the Bowland-Hodder interval.
This dataset contains data on pollinating insects, floral resources, and environmental conditions from a pollinator monitoring pilot conducted from 2015. Data were collected from a total of 14 sites across the UK, over four sampling rounds from April to August 2015. Half of the sites visited were dominated by agricultural habitats (e.g. crop fields and pasture) and half were dominated by semi-natural habitats. These data were collected to compare methods for sampling pollinators; compare the capacity of different recorder groups to implement different survey methods; gather feedback from recorders on the survey methods; and generate detailed information on implementation costs and support requirements for each method. Three different types of recorder groups were trialled (researcher, consultant, volunteer) using different combinations of sampling methods (pan trapping, fixed transects pollinator survey, fixed transects flower survey, timed focal flower observations, standardised "free search" pollinator survey). Full details about this dataset can be found at https://doi.org/10.5285/69a0d888-9f6b-4e67-8d29-402af1412d8e
This dataset contains data on the movement of the seabird tick, Ixodes uriae, in an artificial arena. 24 adult female and 24 nymphal I. uriae were collected on the Isle of May, Scotland on the 25th-27th March 2014 and 18th July 2013 respectively. Nymphal ticks were taken from boiler suits worn by field workers, and adult female ticks were taken from cracks in the rock face. They were then transported to a laboratory where they were individually placed in an artificial arena, composed of a single A1 piece of paper and 30 cm high walls. Straight line distances moved were then measured at fixed time intervals. This work was part of a NERC-funded PhD project looking at interactions between avian colonial social structure and tick-borne pathogen dynamics. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/aec8b5b2-642b-41ae-8c30-36a4388411cb
The HiRES-1 project acquired airborne geophysical data during 1998. Coverage included the Central Midlands of England and into the associated Welsh Borderland. Survey flying for the collaborative BGS and World Geoscience Corporation Ltd (WGC) high resolution geophysical and environmental survey was completed in early September 1998. The data comprise multi-channel gamma ray spectrometer, magnetometer and dual frequency VLF-EM. Flight line spacing was 400 m with tie lines at 1200 m and the total area surveyed is some 14 000 km2. Flight-line orientations are W–E over the western survey area, SW–NE over the eastern area. Ground clearance was maintained at 90 m in rural areas, increasing to about 240 m in built-up zones. The project and data descriptions are provided in an internal BGS report: R J Peart, R J Cuss, D Beamish and D G Jones, 2003. The High Resolution Airborne Resource and Environmental Survey- Phase 1 (HiRES-1): background, data processing and dissemination and future prospects. British Geological Survey Internal Report, IR/03/112. 28pp.
Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al. ). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. . SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012.  Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre doi:10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902  McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. Full details about this dataset can be found at https://doi.org/10.5285/dfd59438-2170-4472-b810-bab33a83d09f
This dataset contains the transcripts of interviews and discussion groups on the current soya production from ten villages in the Gurue district, Zambezia province, Mozambique. The ten villages were selected from different stages of a land scarcity gradient running from villages with abundant land to those with intense land constraints, mainly driven by expanding agricultural activities and population density. The villages had similar infrastructure, soils, rainfall, and vegetation types. Interviews and focus group discussions were conducted with village small-scale soya producers, emergent soya farmers, managers of commercial soya producing operations, district officer, technicians of NGOs, formal and informal traders between July and December 2015. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Full details about this dataset can be found at https://doi.org/10.5285/18c8cbf3-ed55-4065-b52b-b2a4c2ffdf1c
Standardised Precipitation Evapotranspiration Index (SPEI) data for Integrated Hydrological Units (IHU) groups (Kral et al. ). SPEI is a drought index based on the probability of occurrence of the Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - for a given accumulation period as defined by Vicente-Serrano et al. . SPEI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the general logistic distribution is 1961-2010. The dataset covers the period from 1961 to 2012.  Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902  Vicente-Serrano, S. M., Beguería, S., López-Moreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696 to 1718. https://doi.org/10.1175/2009JCLI2909.1 Full details about this dataset can be found at https://doi.org/10.5285/9b550cc5-4cba-45fb-ab92-8408454fa1d4
Baseline Vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). This was a one-off whole site baseline vegetation survey (though given the intensive nature of this survey, some sites did it over successive years) to generate a vegetation map and identify the areas within the site to be monitored. In this protocol up to 500 systemic 2m x 2m plots were surveyed and species presence recorded. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/a7b49ac1-24f5-406e-ac8f-3d05fb583e3b