This dataset describes 35 years of 6-monthly population sampling of adult and juvenile bank voles Myodes glareolus and wood mice Apodemus sylvaticus in a Derbyshire Ash Fraxinus excelsior woodland, together with annual and seasonal ash fruit-fall and a measure of winter severity. Additional data describe a 4 year experiment on a nearby study area where in two winters supplementary ash fruit were supplied and population data collected in parallel to the main study area. Woodland small mammal population dynamics are commonly influenced by variable food supplies (due to masting), climate and population density. However, the effects of precise environmental variables are poorly understood. To explain between-year variations in bank vole and wood mouse reproductive/population growth rates, we applied a state-space model to 33 years of live-trapping data. Experimental additions of ash fruit in winter aided interpretation. Full details about this dataset can be found at https://doi.org/10.5285/80ee4e00-7301-4c40-9dba-12dd0d21b7c7
[This dataset is embargoed until January 1, 2022]. The dataset contains monthly measurements of chlorophyll fluorescence measured using a Walz MINI-PAM II. The chlorophyll flouresence of growing tips of moss samples were measured following saturating pulses three times in the field before dark adaptation three further measurements. Yield of photosystem II, non-photochemical quenching and electron transport rate were calculated. Field work was carried out approximately monthly from April 2017 until September 2018. Full details about this dataset can be found at https://doi.org/10.5285/249034d3-2f4d-42c6-a3cd-113ff3a960c5
[This dataset is embargoed until January 1, 2022]. The dataset contains a key to species and locations of moss samples and water samples collected along with relative water contents for moss samples. The stable carbon (13C/12C) and oxygen (18O/17O) composition of cellulose is presented, along with the stable oxygen (18O/17O) and hydrogen (2H/1H) isotope compositions of fresh water and water samples distilled from moss tissue. Full details about this dataset can be found at https://doi.org/10.5285/1e57032c-327a-49c7-bb2e-43921dc116e2
Paired water and river sediment samples were collected from Vietnam Australia, Cambodia and Nepal. Waters were analysed for major ions, Sr isotopes and Mg isotopes. Sediments were sequentially extracted using ammonium chloride, acetic acid and hydrochloric acid to target exchangeable ions, calcite and dolomite respectively. They were analysed for major ions and selected isotopes.
Micro CT scans and associated documents (3d files, animations, segmentation files, data files etc) of palaeontological material.
The dataset documents microfossils (acanthomorphic acritarchs) and sedimentary structures within phosphorite pebbles and interstitial carbonate cements from the Ediacaran Biskopas and Biri formations, Hedmark Group, Norway. Data includes extensive optical microscopy images (~30,000) of the microfossils and structures; SEM-BSE images, EDS elemental map and spot point data of phosphatized and carbonate-hosted microfossils; BSE maps and EDS elemental maps of the sedimentary structures within phosphorite pebbles; sedimentary descriptions and detailed grain size counts for phosphorites; detailed spread sheets recording microfossil size ranges, microfacies distributions, and abundances.
Elastic thickness data for Tasmantid Seamounts determined from gravity modelling. Published paper, Richards, Fred & Kalnins, Lara & Watts, A. & Cohen, Benjamin & Beaman, Robin. (2018). The Morphology of the Tasmantid Seamounts: Interactions Between Tectonic Inheritance and Magmatic Evolution. Geochemistry, Geophysics, Geosystems. 10.1029/2018GC007821.
Primary data, model initial conditions, model results, a compiled database of olivine diffusivity experiments and supplementary tables used in the paper: 'Mutch, E. J. F., Maclennan J., Shorttle, O., Edmonds, M. & Rudge, J. F., (2019), Rapid trans-crustal magma movement under Iceland, Nature Geoscience'. Data_S1 contains electron probe microanalysis (EPMA) profile data of olivine crystals used in this study. This file also includes all of the initial conditions for forsterite content (XFo), Ni and Mn used in the diffusion modelling. Standard deviations are averaged values of standard deviations from counting statistics and repeat measurements of secondary standards. Data_S2 is a compiled database of olivine diffusion experiments used to derive multiple linear regressions for diffusion coefficients and associated covariance matrices. Regressions were only made through  data. Data_S3 contains median values for all of the inverted parameters estimated for each crystal profile from the Nested Sampling Bayesian inversion for each type of initial condition and model equation. All of the Monte Carlo realisations for each model are also included in this file. Table_S1 is a supplementary table that contains olivine diffusion equation regression parameters derived and used as part of this study. Table_S2 is a supplementary table that contains covariance matrices for olivine diffusion equations derived in this study. Table_S3 is a supplementary table that contains covariance matrices for aSiO2 (silica activity) dependent olivine diffusion equations derived in this study. Table_S4 is a supplementary table that contains angles between the EPMA profile and the main crystallographic axes in olivine as measured by EBSD. These angles are incorporated into the anisotropy calculation used to determine the apparent diffusivity parallel to the measured profile. angle100P, angle010P and angle001P are the angles between the profile and ,  and  respectively. Table_S5 is a supplementary table that contains ,median timescales and 1 sigma errors obtained from the posterior distributions of the Nested Sampling Bayesian inversion conducted on each olivine profile. The results using Al-based initial conditions, constant initial conditions (diffusion only), and aSiO2 based equations using Al-based initial conditions are presented here. The classification of each profile (growth-dominated vs. Al-decoupled) is also shown. See paper (Mutch, E. J. F., Maclennan J., Shorttle, O., Edmonds, M. & Rudge, J. F., (2019), Rapid trans-crustal magma movement under Iceland, Nature Geoscience) for more details.
The dataset contains estimates of the projected area of vegetation derived from the analysis of side-on photographs through the vegetation canopy and recorded for survey quadrats at six UK saltmarsh sites. 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. Each site comprised 22 quadrats in the vegetated area of salt marsh. A calibrated camera was used to photograph through a 600 x 200mm section of vegetation against a red background. Calibrated images were then classified into vegetation and background classes and parameters of vegetation density in the horizontal were computed. 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 - 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. Full details about this dataset can be found at https://doi.org/10.5285/936e04d0-c8ae-47ec-a858-518a77667c70
The dataset details global positioning system (GPS) locations recorded for survey quadrats at six UK saltmarsh sites. 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 salt marsh area and adjacent mudflat area. Each site comprised 22 quadrats on the unvegetated mudflat and 22 quadrats on the salt marsh. The locations indicated by this dataset correspond to the south-east corner of the quadrats which were 1m square and oriented with their sides aligned North-South and East-West. 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. Full details about this dataset can be found at https://doi.org/10.5285/e07386ba-f7a8-490d-99f7-1ce1ae14e95d