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The dataset contains the chemical compositional changes occurred in anaerobic digestate, with and without biomass ash, simulating storage conditions during 128 days. Additionally, Sulphuric Acid (H2SO4) was added to these materials to test the effectivity on preventing nitrogen loss via acidification. Experiments were carried out in the laboratory during 2016, being measured via a combination of internal and external laboratories. The dataset provides data on chemical changes, namely: dry solids, pH, Kjeldahl nitrogen and total sulphur. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/e91e8c28-0176-4c5b-9b20-611eb505ab39
These data were produced within the objectives of the NERC grant (alongside collaborator Gibbs at NOC, Southampton) and predominantly comprise biometric data collected under light microscope at x1500 magnification from the coccolithophore taxon Coccolithus pelagicus, a heavily calcified taxon with a long fossil record. The data was collected as part of a collaborative research effort bringing together the modern and fossil consortia within the UK Ocean Acidification research programme. The data are from batch culture experiments on both modern sub-species of C. pelagicus and provide cell size, coccosphere size, coccolith size and number of coccoliths per cell. The same parameters were measured from C. pelagicus from North Atlantic field and sediment trap samples from inside and outside bloom conditions. Again, the same parameters were also measured from C. pelagicus from exceptionally well-preserved fossil material from several shelf and off-shelf marine locations including New Jersey, Tanzania, California and the Bay of Biscay.
Global warming during the Palaeocene-Eocene Thermal Maximum (PETM, ~56 Ma) is commonly interpreted as being driven by massive destabilization of carbon from surficial sedimentary reservoirs. If correct, this has important implications for the amplification of future fossil fuel emissions via carbon-climate feedbacks. In our study we provided new paired records of boron and carbon isotope changes in the ocean that questions this long-held interpretation. Our data are implemented in an Earth system model to reconstruct the unfolding carbon cycle dynamics across the event. Strong evidence for a larger (>10,000 PgC) and on average isotopically heavier (> -17‰) carbon source leads us to identify volcanism associated with the North Atlantic Igneous Province as the main driver of the PETM. We also find that although organic carbon feedbacks with climate played a more minor role in driving the event than previously thought, organic matter burial was important in ultimately sequestering this carbon and driving the recovery of the system. Data presented in this data set comprise geochemical elemental, as well as boron, carbon and oxygen isotopic data from surface dwelling foraminifera Morozovella Subbotina. Alongside the boron isotopic data we also provide reconstructed surface water pH with corresponding uncertainties for our preferred pH reconstruction.
Geochemical and isotopic data presented here cover the Paleocene-Eocene Thermal Maximum (~56 Ma ago) and were produced to assess the degree of carbon cycle perturbations, ocean acidification and the origin of the emitted carbon added to the atmosphere-ocean system during this major carbon cycle perturbation event. For further details on the analytical approach please refer to the original publication (Gutjahr et al., 2017, Nature). Data contained within the two tables comprise foraminiferal carbonate based stable boron, carbon and oxygen isotopic results from DSDP Site 401 located within the Bay of Biscaye in the NE Atlantic (Table 1). This table also contains B/Ca, Mg/Ca and Al/Ca data from the same samples. Depth in core is presented alongside two alternative relative age models setting ages in relation to the Carbon Isotope Excursion observed during the Paleocene Eocene Thermal Maximum. Table 2 contains high-resolution bulk carbonate stable carbon and oxygen isotopic results that were produced to establish a new age models for this core.
Data from an acidity manipulation field experiment for three treatment types: control, acid and alkaline. Each treatment type had four replications at two experimental site locations and two soil types (making 48 sampling points per sampling time). The data includes chemistry data (pH, EC, DOC, SUVA254) for a variety of sample types (pore water from peat and organic soil (monthly), decomposing surface litter extracts (quarterly), and soil extracts (quarterly). Litter bag data includes mass loss of litter following a period of incubation in soil (3, 6 9 or 12 months), and chemistry of litter extracts (pH, EC, DOC, total nitrogen, SUVA254). There are up to four sub-replications per treatment replication. Data is also presented for the Tea Bag Index, including kTBI (decomposition rate) and S (stabilisation factor). There are up to three sub-replications per treatment replication. Full details about this dataset can be found at https://doi.org/10.5285/3bd6397d-f0db-40c4-885a-95ca280a6683