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  • The data is in the form of excel spreadsheets and a word document of supplementary material. Publications: Foster, W.J., Danise, S., Sedlacek, A., Price, G.D., Hips, K. and Twitchett, R.J. 2015. Environmental controls on the post-Permian recovery of benthic, tropical marine ecosystems in western Palaeotethys (Aggtelek Karst, Hungary). Palaeogeography, Palaeoclimatology, Palaeoecology, 440, 374-394 Danise, S., Twitchett, R.J., Little, C.T.S. 2015. Environmental controls on Jurassic marine ecosystems during global warming. Geology, 43, 263–266; DOI:10.1130/G36390.1 Danise, S., Twitchett, R.J., Matts, K. 2014. Ecological succession of a Jurassic shallow-water ichthyosaur fall. Nature Communications, 5, 4789. DOI:10.1038/ncomms5789 Foster, W.J., Twitchett, R.J. 2014. Functional diversity of marine ecosystems after the Late Permian mass extinction event. Nature Geoscience, 7, 233-238. doi:10.1038/NGEO2079 Danise, S., Twitchett, R.J., Little, C.T.S. & Clémence, M.E. 2013. The impact of global warming and anoxia on marine benthic community dynamics: an example from the Toarcian (Early Jurassic). PLOS ONE, 8, e56255

  • This data is NERC-funded but not held by the EIDC. This data is archived in the European Molecular Biology Laboratory- European Bioinformatics Institute (EMBL-EBI) MetaboLights (, accession number MTBLS3749. Multi ‘omics’ data were collected from lines of Daphnia magna resurrected from Lake Ring (Denmark). The genome, methylome, transcriptome, accessible chromatin (ATAC), and metabolome was characterized from these lines, spanning >100 years.

  • This dataset contains fitness-linked life history traits, environmental data, and protein and gene expression data for Daphnia magna. Life history data were measured in common garden experiments. For each clone of the same genotype across all experiments, size at maturity (distance between the head and the base of the tail spine), age at maturity (first time eggs were observed in the brood chamber), fecundity (total number of offspring released summing first and second brood), and mortality were measured. Critical thermal maximum (CTmax) was measured on the experimental animals. Environmental data consisted of Secchi disk depth (water transparency) ; total phosphorous; and total nitrogen for the years 1971–1999; a record of pesticides 1955–2010; temperature records over the past century 80 km from Lake Ring. Organic and carbonate contents of the sediment was estimated using the loss on ignition (LOI) method. Hb protein data consisted of constitutive Hb protein crude content animals reared in normoxic (saturated oxygen level) conditions at two experimental temperatures, 20 and 30°C. Heat shock protein expression was measured in four heat shock proteins (HSP20, HSP60, HSP70 and HSP90). Total RNA, qPCR, mean CT (cycle threshold) value per sample and per protein were collected. Full details about this dataset can be found at

  • This dataset includes sediment trap, sediment core and loss-on-ignition to total organic carbon measurements from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between the changing nutrient loads and subsequent organic carbon burial over the last 120 years. The sediment trap data cover the period from May 2010 to August 2016, while the sediment core was taken in September 2011 and has been 210Pb dated to circa 1360AD. All data is presented for date, loss-on-ignition (LOI) and calcium carbonate (CaCO3), with sediment trap data converted into net flux measurements and sediment core data calculated for net sedimentation rate following 210Pb dating. The conversion from LOI to total organic carbon was measured using mass spectrometry and applied to the trap and core data. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1], with part of the work also funded by the NERC small grant [grant number NE/H011978/1]. Full details about this dataset can be found at

  • [This dataset is embargoed until September 1, 2023]. This dataset contains information about hourly temperature variation, phenotypic and genetic change, and change in environmental parameters in a two-year mesocosm study designed to tease apart the impact that phenotypic plasticity and genetic diversity have on rate of adaptation to experimental heatwaves. All data were collected between 2017 and 2019. Thermal data was collected continuously using data loggers. The frequency of natural heatwaves was manipulated using a programmable aquatic mesocosm facility using data collected from real heatwaves from 2006. Phenotypic evolution was tracked using intermittent common garden life-history studies while changes in clone frequency were determined using microsatellite markers to track changes in clone frequency in manipulated populations over two years. Experimental data on zooplankton community dynamics were monitored using intermittent depth integrated sampling of communities in each mesocosm over two years. The work was supported by the Natural Environment Research Council (Grant NE/N016017/1). Full details about this dataset can be found at

  • This data resource consists of a nutrient concentration time series for the River Frome at East Stoke, Dorset, gathered between January 2004 and February 2006. Total phosphorus concentration data was gathered for the full duration of the project. Soluble reactive phosphorus, total oxidisable nitrogen and dissolved reactive silicon concentration was only gathered from Jan 2005 until Feb 2006. Sampling interval varied throughout the monitoring period, from a minimum of two samples to day, to eight per day during storm events (with an average of three samples per day throughout the duration of the monitoring period). Samples were taken from the main flow of the river using an automatic water sampler, and analysed using standard colorometric methods, at the CEH Dorset laboratories. Further details of the field and laboratory procedures are outlined in Bowes MJ, Smith JT, Neal C. The value of high resolution nutrient monitoring: a case study of the River Frome, Dorset, UK. Journal of Hydrology 2009; 378: 82-96. Full details about this dataset can be found at