Climate change effects on dimethylated sulphur dynamics in tropical coral reef systems (thesis data)

Excel data of results sets, photograph

Environmental and chemical determinands associated with phosphorus in Loch Leven bed sediments (2004-2005)

This is a dataset obtained from analysis of lake sediment and overlying water from six sites along a depth gradient, in Loch Leven, Scotland, over a period of one year. Parameters measured from the water and included in the dataset are dissolved oxygen concentration, conductivity, pH, temperature, concentrations of three forms of phosphorus, and ammonium and silica concentrations. Chlorophyll a concentration measured from the sediment surface is included, and within the sediment concentrations of seven different forms of phosphorus are provided.,Sampling and analyses were performed using documented methods, as described in the contextual metadata accompanying this dataset. Please contact the author if further details are required.

Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) surface sediment chlorophyll concentrations in saltmarsh and mudflat habitats

The dataset details surface sediment chlorophyll concentrations across six intertidal sites in the winter and summer of 2013. Chlorophyll concentrations in surface sediments (<2mm) provide a quantitative measure of the microphytobenthos (MPB) community present. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area, twenty two sampling quadrats were placed on each area. Five replicate sediment samples were taken at each quadrat and then underwent acetone extraction of pigments followed by spectrophotometer analysis of absorptions at relevant wavelengths. Values for chlorophyll a, b and c1+ c2 are expressed as micrograms per gram of sediment. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. This resource is made available under the terms of the Open Government Licenc

Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) sediment stability by Cohesive Strength Meter (CSM) in salt marsh and mud flat habitats

The dataset comprises the surface stability of sediments as determined by a Cohesive Strength Meter (CSM). Between 3 and 5 replicate measurements were taken from each of the 22 designated experiment quadrats at each of the Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) sites. At each CBESS site, a salt marsh site and a mud flat site was examined and three locations were selected in Morecambe Bay, North West England and three locations in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. This data were collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.,Each site consisted of a polygon of roughly 400 x 500 m to 1000 x 1000 m in size, dependent upon site length (parallel to shore) and width (perpendicular to shore). Twenty two 1 x 1 m quadrats were randomly placed within to each site polygon using R (R Development Core Team, 2014) to specify placement at four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum). In each quadrat, the CSM was deployed and the erosion threshold of the sediment determined. 3- 5 replicates measurement stations were randomly placed within the quadrat, according to the quadrat-sampling plan.

In site versus laboratory analysis of sediment stability from intertidal mudflats

Also published in: Continental Shelf Research 20 (2000), 1317-1334SIGLEAvailable from TIB Hannover / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) greenhouse gas fluxes in saltmarsh and mudflat habitats

The dataset details greenhouse gas fluxes as carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) across six intertidal sites in the winter and summer of 2013. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area, twenty two sampling quadrats were placed on each area. Light and dark incubations were performed using a benthic chamber on seven of the twenty two quadrats of each site. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme

Hubas-prog/ASSEMBLE-MICROBE: Second release

This is the second release of the Supp. Mat. of article entitled "Identity and sequence: The effect of multiple stressors on microphytobenthos assemblages" by James E V Rimmer, Cédric Hubas, Adam Wyness, Bruno Jesus, Morgan Hartley, Andrew J Blight, Antoine Prins, David M Paterson. This new release includes a readme file with indications about R scripts and Script correspondance to help the reader