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Forest inventory, dendrometric tree characteristics and aboveground biomass data in Ankeniheny Zahamena forest corridor, Madagascar
Data comprise a forest inventory (tree name (local, scientific, genera, family), diameter, height), dendrometric tree characteristics (tree species, weight (branches, leaves, trunk), diameter, height, coordinates, distance, location) and aboveground biomass data (litter and root mat depth, biomass and carbon stock of living vegetation (sapling, tree and understorey), non-living vegetation (litter), lying dead wood and standing dead wood) sampled in the Ankeniheny Zahamena Forest Corridor (remains of the evergreen forest of eastern Madagascar). Living vegetation includes woody and herbaceous above soil vegetation including stems, branches, bark, seeds, and foliage (IPCC, 2006). Litter includes all non-living biomass with a size greater than the limit for soil organic matter (suggested 2 mm) and less than the minimum diameter chosen for lying dead wood (e.g. 10 cm) in various states of decomposition above or within the mineral or organic soil (IPCC, 2006). Dead wood includes all non-living woody biomass not contained in the litter, either standing, lying on the ground, or in the soil (IPCC, 2006). Understorey includes herbaceous vegetation in forests and fallows. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4 P4GES project, grant references: NE/K008692/1, NE/K010115/1, and NE/K010220-1 Full details about this dataset can be found at https://doi.org/10.5285/cbeea40f-8e35-4875-8b49-815e04f0cbd9
© Laboratoire des Radio Isotopes, Université d'Antananarivo
Acknowledgement of the Laboratoire des Radio Isotopes, Université d'Antananarivo is required for products derived from these data
If you reuse this data, you should cite: Razakamanarivo, H.D., Razafimbelo, T., Andriamananjara, A., Rianahary, A., Razafindrakoto, M., Harinirina, A. (2017). Forest inventory, dendrometric tree characteristics and aboveground biomass data in Ankeniheny Zahamena forest corridor, Madagascar. NERC Environmental Information Data Centre https://doi.org/10.5285/cbeea40f-8e35-4875-8b49-815e04f0cbd9
This resource is made available under the terms of the Open Government Licence
Full materials and methods available from supporting documentation (Manual_1_Classical_survey). For each sampling site, four subplots located in circular area were identified. For the first area of 2 m of radius, sapling (DBH<5cm and H>1.30m) were accounted for each species. Then, 5 different species of saplings chosen randomly were weighed and sampled. For the second circular area of 5 m of radius, local name, DBH and height of trees (living wood and standing dead wood) from 5 to 10 cm of DBH were measured. For the circular area of 10 m radius, local name, DBH and height of trees with DBH between 10 cm and 20 cm were measured. For the circular plot of 20 m of radius, DBH, height and local name of trees (living wood and standing dead wood) with DBH above 20 cm were recorded Only for standing dead wood, diameters at 0,30m and at the top were recorded in addition to DBH and height. In addition to diameters, the wood density of each stading dead wood is recorded. The wood density is classified as sound (S), intermediate (I) and rotten (R). The values of each class are those applied by Conservation International Madagascar (CI Madagascar). Lying dead wood was measured on a transect of 100 m passing through the center of the plot. For each lying dead wood intercepting the transect, the diameter at which the rope passes is recorded. In addition to the diameter, the wood density of each lying dead wood is recorded. The wood density is classified as sound (S), intermediate (I) and rotten (R). The values of each class are those applied by Conservation International (CI). A direct measurement of above ground biomass was carried out in closed canopy. Indeed, 54 trees from four species were then selected from the forest inventory, on the basis of their relative contribution to tree density (ratio between the number of stems per hectare of the species and total number of stems). Then, in second phase, these trees were felled and weighed after separating trunk, branch and leaves biomass (Picard et al. 2012). The total fresh weight of each component was obtained in the field using electronic balances. After, subsamples were collected from the field for a lab-based humidity analysis. The dendrometric characteristics of these 54 trees were recorded.
Antibiotic susceptibility tests and resistance genes in Escherichia coli from humans, poultry and environmental samples in urban and rural Bangladesh (2017)
Antibiotic susceptibility tests are presented as the zone of inhibition using the disc-diffusion method, and categorized as resistant, intermediate or susceptible. DNA samples from antibiotic-resistant bacteria were analysed for the presence or absence of resistance genes using polymerase chain reaction (PCR). Laboratory analyses were conducted by trained staff at the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b). The aim of the study was to identify the antibiotic-susceptibility profiles and resistance genes of bacteria (Escherichia coli) obtained from humans, poultry and the environment. Bacterial isolates previously identified with resistance to third-generation cephalosporins or carbapenems were included in the analysis. Bacterial samples originated from rural households and poultry farms (broiler chickens) in Mirzapur, Tangail district; and urban food markets in Dhaka city, Bangladesh. Environmental samples included surface water, water supply, wastewater, soil, animal faeces (poultry and cattle) and solid waste. The survey was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative award NE/N019555/1. Full details about this dataset can be found at https://doi.org/10.5285/dda6dd55-f955-4dd5-bc03-b07cc8548a3d
© International Centre for Diarrhoeal Disease Research, Bangladesh
If you reuse this data, you should cite: Rousham, E.K., Islam, M.A., Unicomb, L., Asaduzzaman, M., Islam, R., Amin, B., Mozmader, T.I.M.A., Hossain, M.I., Rahman, M. (2019). Antibiotic susceptibility tests and resistance genes in Escherichia coli from humans, poultry and environmental samples in urban and rural Bangladesh (2017). NERC Environmental Information Data Centre https://doi.org/10.5285/dda6dd55-f955-4dd5-bc03-b07cc8548a3d
Water (drinking, stream, waste and pond), soil and faecal samples were collected from farms and urban markets. Laboratory analysis of bacterial samples took place at International Centre for Diarrhoeal Disease Research , Dhaka, Bangladesh. Laboratory results were recorded on paper-based forms or generated from automated readings, entered into Excel then converted to .csv files for ingestion into the Environmental Information Data Centre. Reference organisms and Clinical and Laboratory Standard Institute (CLSI) guidelines were followed.
European-wide maps of modelled farm-level ecosystem services, 2019
The dataset presented provides average per-farm ecosystem service (ES) values for each NUTS3 region for Europe for the year 2019. The modelled ES are: carbon sequestration [t C ha-1 yr-1], food production (standard economic output) [euros yr-1], and nutrient (nitrogen) export [kg N yr-1]. The data is stored in vector files (GeoPackage). The per-farm ES values were modelled for five sub-country case studies and upscaled for each NUTS3 region where sufficient evidence supported a successful transfer and upscaling. Note that the criteria for upscaling the carbon sequestration were not met for any NUTS3 region and therefore the carbon sequestration is returned as NULL for each region. Full details about this dataset can be found at https://doi.org/10.5285/ae96d813-6468-421f-92c0-79f367cadbc3
If you reuse this data, you should cite: Evans, P.M., Čejka, T., Václavík, T., Bullock, J.M. (2024). European-wide maps of modelled farm-level ecosystem services, 2019. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/ae96d813-6468-421f-92c0-79f367cadbc3
This resource is available under the Creative Commons Attribution Licence (CC BY 4.0)
The data is a result of upscaling ecosystem services (ES) across the whole of Europe from five sub-country case studies. Each case study was divided into the NUTS3 regions it covered, which ranged from two to five regions per case study. In total, the data were split into 19 different NUTS3 regions. The case study data used farm data from 2019, and used the most recent environmental and economic data available, which ranged from 2013 – 2019. The original case study nitrogen export model was a process-based model, namely the InVEST Nutrient Delivery Ratio model. Food production was simulated using the mechanistic WOFOST (WOrld FOod STudies) model. Carbon sequestration was modelled using a statistical model. For a more detailed account of the case study models, please see the supporting documentation. A novel methodology was used for the upscaling. The method used compared the predictive power (R2) of meta-models produced in each case study NUTS3 with the Minkowski distance (a metric of distance in multivariate space) of those regions. Quality control of each ecosystem service data was mostly carried out through the development of a novel meta-modelling and transferability methodology. The limitations on the data’s reliability vary depending on the specific ecosystem service that was modelled, and are further explained in the supporting documentation.
Physico-chemical properties and discharge of a peatland river, Drumtree, Scotland, May 2012 to December 2014
This data set covers high resolution (30-min frequency) water quality and dissolved carbon data from a peatland river in Southwest Scotland (5.8 km2), part of the Whitelee Wind Farm complex. The data set covers approx. 2.5 years including two full hydrological years and 261 individual flood events between 23/05/2012 and 16/12/2014. Carbon data was measured using a Scan Spectrolyser – a field deployable UV-Vis light spectrometer. Full details about this dataset can be found at https://doi.org/10.5285/4c591c29-01c9-493b-806e-7253e2682376
If you reuse this data, you should cite: Bass, A.M., Coleman, M., Waldron, S., Scott, M. (2023). Physico-chemical properties and discharge of a peatland river, Drumtree, Scotland, May 2012 to December 2014. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/4c591c29-01c9-493b-806e-7253e2682376
This resource is available under the terms of the Open Government Licence
Data was initially collected as part of a NERC funded PhD project, and subsequently further analysed by Bass AM and co-authors for publication. Water quality sensors were calibrated against standard solutions for pH and conductivity. Dissolved organic carbon (DOC) data was calibrated against data analysed on a Thermolox(TM) TOC analyser.
British Geological Survey (BGS) Sampling Survey 1971/SV/10: Peach and Tiree (21/Aug/1971 to 17/Sep/1971)
This sampling survey has been carried out by British Geological Survey (BGS) formerly Institute of Geological Sciences for BGS, the survey took place from August to September 1971 in the Peach/Tiree map sheet areas, on board the MV Surveyor. The purpose was to collect data as part of a regional mapping programme. Sea floor data were collected using Transit sonar. Seabed scintillation probe trials were carried out. Sample data were collected using vibrocorer; gravity corer; rock gravity corer; rock dredge and shipek grab. These data are archived by BGS. Technical details of the survey are contained in IGS report 73/14.
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
Sample equipment types used included: Corer: Rock Gravity, Corer: Sediment Gravity, Corer: Vibrocorer, Diver Collected, Dredge: Rock, Dredge: Sediment or Shell, Grab: Shipek and Photographic Site. The survey was undertaken by British Geological Survey. For more detailed information on the acquisition equipment and data collection techniques, operational standards, data processing methods and quality control procedures used on this survey see the Report of Survey/Cruise Report and associated documentation where available. The information available may vary depending on the age of the survey. Data are checked and loaded to the BGS Coastal and Marine data management system following BGS marine data management procedures.
Leaf functional trait data from three experimental sites in the Colombian Andes, June-August 2019
This dataset includes key leaf functional trait data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. From eight species, there are a selection of leaf structural (leaf mass per unit area, leaf thickness, leaf dry matter content, leaf area, leaf width) nutrient (nitrogen and phosphorus, expressed on area- and mass-bases) and water-use efficiency (13C and g1) traits. Values for these traits were obtained by a combination of laboratory analysis, raw measurements with handheld equipment, and processing with packages in the ‘R’ environment. Full details about this dataset can be found at https://doi.org/10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e
If you reuse this data, you should cite: Cox, A.J.F., González-Caro, S., Meir, P., Hartley, I.P., Restrepo, Z., Villegas, J.C., Sanchez, A., Mercado, L.M. (2024). Leaf functional trait data from three experimental sites in the Colombian Andes, June-August 2019. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e
Leaf material was collected from eight species at the experimental sites. Immediately after collection, leaves were sealed in individual plastic bags with damp cotton wool to prevent premature drying. For leaf structural traits, the following procedures were followed. High-precision electronic callipers were used to measure leaf thickness from three areas of each leaf, avoiding the central vein, with the average of these three measurements taken to be leaf thickness (mm). Images were taken of each leaf using a CanoScan LiDE 300 flatbed scanner and then processed using the ‘R’ environment (v4.2.1; R Core Team, 2022) to calculate leaf area (cm2) and leaf width (mm): leaf area was obtained using the ‘LeafArea’ package in R which automates the ImageJ programme while leaf width values were calculated using the ‘LeafJ’ plugin for ImageJ. Following scanning, leaves were weighed to give their wet weight before being dried in an oven to constant mass for approximately 48 hours at 70°C, then re-weighed to give their dry weight. Leaf dry matter content (mg g-1) was calculated as the quotient of leaf dry weight to leaf wet weight while leaf mass per unit area (g m-2) was calculated by dividing dry weight by LA. For leaf nutrients and 13C values, leaves were ground into a powder using a shaker mill and ~1 mg of sample for each was then packed into tin capsules and run through an infrared mass spectrometer. This returned %N values, and thus, mass-based nitrogen content, as well as 13C. For leaf P content, 0.1-0.2 g of sample was subjected to ICP-OES analysis with a unique Dichroic Spectral; this returned mass-based phosphorus content. Both leaf N and P can be expressed on an area-basis by dividing by LMA. For g1, the unified stomatal model was then fitted to diurnal course An and gs measurements in the R environment using the ‘plantecophys’ package to obtain the model parameter g1. The An and gs measurements were collected using LI-6400XT portable photosynthesis system with the ambient conditions (photosynthetically active radiation, relative humidity, air temperature and 410ppm CO2) for each leaf replicated within the cuvette of the LI-6400XT before the leaf was inserted, allowing readings to be taken almost immediately.
Maritime and Coastguard Agency (MCA) Bathymetric Survey HI1262, North Shipwash, (10/06/2008 to 28/09/2008)
Samples and associated geological data are held at the British Geological Survey for Maritime Coastguard Agency (MCA), Civil Hydrography Programme (CHP), Bathymetric Survey HI1262; North Shipwash, Area in SqKm: 14, (10/06/2008 to 28/09/2008), Standard: IHO S44ed4 Order 1. Contract: RRS (2006 LT). FY 2008/09. Contractor: MMT.
MMT was contracted to undertake the survey on behalf of Maritime and Coastguard Agency. For more detailed information on the acquisition equipment and data collection techniques, operational standards, data processing methods and quality control procedures used on this survey see the Report of Survey/Cruise Report and associated documentation where available. The information available may vary depending on the age of the survey. Data are checked and loaded to the BGS Coastal and Marine data management system following BGS marine data management procedures.
2005 Strategic Environmental Assessment SEA7 seabird and marine mammal observations onboard the RSS Charles Darwin during British Geological Survey cruise CD174 in the Rockall Trough
As part of the Department of Trade and Industry's (now Department of Energy and Climate Change) Strategic Environmental Assessment SEA7, a seabird and cetacean survey was undertaken. The track passed through the Firth of Clyde, the North Channel and the adjacent continental shelf before covering the Rockall Trough as far as the eastern margin of the Rockall Bank and the southern margins of Anton Dohrn Seamount. For much of the survey the weather was unseasonably poor and data was frequently collected in marginal conditions. At total of 7578 birds of 37 species were recorded. Of these 26 species were seabirds and the remainder were migrant passerines, hirundines and geese. Fulmars were the most abundant birds seen during the survey, followed by gannets and great shearwaters, which were recorded in unusually high numbers. The latter species may have been more abundant because of atypically strong westerly winds. Five species of cetacean were seen, with short-beaked common dolphins being the most abundant, followed by long-finned pilot whales and sperm whales. Other sightings included one blue shark and one sunfish. Seabird and cetacean densities were low in much of the study area but were elevated on the continental shelf, especially near the Stanton Bank, at the southern margins of the Anton Dohrn seamount and along the eastern margin of the Rockall Bank.
Bird taxonomy-related abundance per unit area of surface
This report was prepared by E Wakefield, British Antarctic Survey as part of the UK Department of Energy and Climate Change's Offshore Energy Strategic Environmental Assessment programme. Observations took place during August - September 2005 on board Charles Darwin. The standard line transect methodology for counting seabirds at sea was used (Webb and Durinck, 1992; Tasker et al. 1984). Observations were made by a single observer from the bridge wings (eye height 14 m above sea level), scanning from directly ahead to either the port or starboard beam. Throughout the cruise a 300 m transect was used for birds on the water. Birds were recorded in five minute blocks and snapshot counts of birds in flight in a 300 x 300 m box were taken at regular intervals. The interval between snapshots was set according to the ship's speed such that counts were made every 300 m along the track (i.e. Counts made every minute when travelling at 10 knots, etc.). An audio alarm was set to sound at the appropriate interval to ensure that snapshots were not missed. Where time and weather conditions allowed behavioural observations were made following Camphuysen and Garthe (2004). Cetaceans were recorded following standard seabirds at sea methods, in the same 90 degree arc as seabirds. In addition however, ranges and bearings to cetaceans were estimated at time of first sighting using an angle board and measuring stick and behavioural observations was recorded following Macleod (2005).
2010, BG Group, White Bear, Jack-Up Rig, DECC Reference Number 2272
An oil and gas industry site survey for a jack-up rig acquired under licence P1722 in August 2010. The block number traversed was 22/4b.
The metadata is freely available for general disclosure. The actual survey data is restricted.
This dataset was collected by Gardline Geosurvey Ltd on behalf of BG Group and reported by Senergy through the PON 14 regulation. Data was collected using single beam echo sounder, multibeam echo sounder, side scan sonar, sub bottom profiler, high resolution seismic, cone penetrometer, vibrocores, seabed photography and seabed video.
The amino acid composition of 20 aragonite samples precipitated in vitro in the presence and absence of amino acid (aspartic acid and glycine, separately and in combination), the dipeptide glycyl-L-aspartic acid and tetra-aspartic acid.
Amino acid compositions of aragonite samples precipitated from seawater, using a pH stat titrator using the constant composition technique between September 2021 and December 2022. Samples were precipitated from 330 mL of seawater with no biomolecules (control) or with a seawater concentration of 2 mM of aspartic acid (Asp), 2 mM glycine (Gly), 2 mM of both amino acids (Asp+Gly) or 2 mM dipeptide glycyl-L-aspartic acid (Asp-Gly) or from 33 mL of seawater with variable concentrations of aspartic acid (Asp) or tetra-aspartic acid (Asp4). Protein was extracted from the samples and run as free amino acids (to detect amino acids in free form) and as hydrolysed samples (to detect peptides). Data were collected to determine how changes in the calcification fluids of calcareous organisms affect aragonite precipitation. Data were collected by Giacomo Gardella, Sam Presslee and Nicola Allison and interpreted by Giacomo Gardella, Cristina Castillo Alvarez, Nicola Allison, Adrian Finch, Kirsty Penkman, Roland Krӧger, Sam Presslee and Matthieu Clog
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
Artificial seawater was manipulated to alter pH and dissolved inorganic carbon concentration and the biomolecule, if used, was added. An aragonite seed was added as a surface for aragonite growth. A pH stat titrator monitored pH and dosed titrants (Na2CO3 and CaCl2) to replace the Ca2+ and CO32- consumed during aragonite formation. At the end, the solid was collected by filtration, rinsed with water and ethanol, dried at 40°C and stored. For amino acid analysis, samples were bleached, rinsed, demineralised and characterised by reverse phase HPLC in both free and hydrolysed form.
Strategic Environmental Assessment (SEA) data portal
NERC EDS Environmental Information Data Centre
Department for Energy and Climate Change (DECC)
2005 Strategic Environmental Assessment SEA6 Technical Report - Socio-economics. The potential socio-economic implications of licensing the SEA6 area (Irish Sea)
This report is a contribution to the Strategic Environmental Assessment (SEA6) conducted by the Department of Trade and Industry (now Department of Energy and Climate Change). The report assesses the socio-economic implications of further oil and gas licensing the SEA 6 area. The Department of Trade and Industry provided scenarios of possible exploration and development activity in the area and these scenarios were converted into optimistic and pessimistic scenarios. They were then used to produce forecasts of: oil and gas production; oil and gas reserves; expenditure; employment; and tax revenues. The implications for existing facilities in the area are discussed and the potential social impacts. An underpinning report, Economic and Social Baseline Study, is also available.
The report was prepared by Mackay Consultants as part of the UK Department of Energy and Climate Change's Offshore Energy Strategic Environmental Assessment programme. Various sources were used in the compilation of this report.