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  • This dataseries investigates the thermal proteome of phytoplankton in response to acute and chronic temperature stress. It is comprised of three subseries: 1. Thermal proteome of Phaeodactylum tricornutum in response to gradual and chronic heat stress. 2. Thermal proteome of Synechococcus sp. in response to gradual and chronic heat stress, and 3. Thermal proteome of Synechocystis in response to gradual heat stress. To investigate the molecular underpinnings of gradual heat stress, we expose cultures to high temperature and follow changes in gene expression through time in comparison to optimal conditions. To understand how the thermal proteome response to chronic thermal stress, we acclimated cultures in steady state growth under optimal conditions and compared the protein expression to that under non-optimal conditions. This data is NERC-funded but not held by the EIDC. This data is archived in the PRIDE (Proteomics identification database).

  • This dataseries investigates the thermal transcriptome of phytoplankton in response to acute and chronic temperature stress. It is comprised of three subseries: 1. Thermal transcriptome of Phaeodactylum tricornutum in response to gradual heat stress. 2. Thermal transcriptome of Phaeodactylum tricornutum in steady-state growth, and 3. Thermal transcriptome of Synechocystis in response to gradual heat stress. To investigate the molecular underpinnings of gradual heat stress, we expose cultures to high temperature and follow changes in gene expression through time (over a 12 hour period) in comparison to optimal conditions. To understand how the thermal transcriptome response to chronic thermal stress, we acclimated P. tricornutum in steady state growth under optimal conditions and compare the gene expression to that under sub-optimal and supra-optimal conditions. This data is NERC-funded but not held by the EIDC. This data is archived in the Gene Expression Omnibus (GEO) National Center Biotechnology Information (NCBI).

  • This dataset contains sequential biomass harvests from a plant growth experiment carried out under controlled environmental conditions in Sheffield. The experiment was carried out in three parts in 2016 and 2017, and was designed to investigate differences in growth among grasses with the C3 and C4 photosynthetic pathways, and with annual and perennial life histories. Plants were harvested approximately weekly over a period of five weeks. The data include information on the dry biomass of roots and leaves, and the numbers of roots, leaves and shoot branches. Also included is an independent dataset of leaf anatomical characteristics derived from herbarium specimens, which was used to test how mechanical support scales with leaf size. Finally, the data include the phylogenetic relationships among species, which were used in analyses. The work was funded by NERC standard grant NE/N003152/1. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/cb0d7a37-45c5-4645-b5ef-ba097d92fc20

  • [This nonGeographicDataset is embargoed until June 30, 2023]. These data comprise the physiology-based measurements made on the cyanobacteria Synechocystis sp. and Synechococcus sp., the pennate diatom Phaeodactylum tricornutum, and the coccolithophore Emiliana huxleyi. A variety of experimental manipulations were carried out in order to investigate the mechanisms underlying thermally-induced physiological responses and various physiological traits were characterised. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/b02524b3-e755-41f7-9bc6-ba389b16db47

  • This dataset contains greenhouse gas flux data and vegetation survey data from an experiment based at Parsonage Down, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. The greenhouse gas flux data comprises net ecosystem carbon dioxide exchange, photosynthesis and respiration data measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data measured using gas chromatography; and nitrate and ammonium from soil samples extracted with potassium chloride. The experiment investigated the effect of different plant groups on soil carbon stores and nutrient cycling, by using a mixture of hand weeding and herbicide spot spraying to create different plant communities on the species rich grassland at Parsonage Down. The resulting carbon and nutrient cycling rates were compared to the characteristics of the plant groups. The experiment ran from 2013 to 2015 and this dataset contains data from 2014 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide. Full details about this dataset can be found at https://doi.org/10.5285/e05b350f-3cf4-4f8d-aa3c-24d562ca756b

  • This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. Net ecosystem carbon dioxide exchange, photosynthesis and respiration data were measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data were measured using gas chromatography; nitrate and ammonium from soil samples extracted with potassium chloride; carbon and nitrogen from soils extracted with water; and carbon and nitrogen stocks measured through combustion analysis. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2016 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide. Full details about this dataset can be found at https://doi.org/10.5285/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6

  • This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. Net ecosystem carbon dioxide exchange, photosynthesis and respiration data were measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data were measured using gas chromatography; nitrate and ammonium from soil samples extracted with potassium chloride; carbon and nitrogen from soils extracted with water; and carbon and nitrogen stocks measured through combustion analysis. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2015 and this dataset contains data from 2015 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide. Full details about this dataset can be found at https://doi.org/10.5285/0e2bbef4-47db-43dc-849b-c7ce49d5bcec

  • Data collected during a field experiment investigating the differences between greenhouse gas (GHG) fluxes under a bioenergy crop Miscanthus x giganteus and a conventional arable crop, barley (Hordeum vulgare) on adjacent fields. Measurements taken include soil respiration (Rs) measured using Licor automated chambers and infrared gas analyser (IRGA), from collars excluding aboveground vegetation but not roots. Ancillary measurements included meteorological variables (air temperature and solar radiation) and soil variables (soil moisture and temperature at 5 cm depth). Data were collected between May and September 2013. Full details about this dataset can be found at https://doi.org/10.5285/c397d6f4-96f4-4967-a0df-c64ef35ea572

  • 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

  • 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