Contact for the resource

University of Essex

13 record(s)
 
Type of resources
Topics
Keywords
Contact for the resource
Provided by
Years
Formats
Representation types
Update frequencies
Resolution
From 1 - 10 / 13
  • Data on the carbon and nitrogen cycling in sediments from rivers within the Hampshire Avon catchment, UK. The dataset includes functional gene data, anion and cation concentrations, methane production and oxidation potential, carbohydrates concentrations, pigment data, and particle size data. Data were collected between February 2013 and November 2014. Data were collected to address the hypotheses of how the functional microbial community involved in carbon and nitrogen cycling changed seasonally and with geology. Data were collected as part of the project "The role of lateral exchange in modulating the seaward flux of C, N, P", funded under NERC's Macronutrients Cycles research programme. Full details about this dataset can be found at https://doi.org/10.5285/976602b3-a58d-460c-a52d-088d0bb09989

  • [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

  • Data on the carbon and nitrogen cycling in soils from different geologies within the Hampshire Avon catchment, UK. The dataset also includes functional gene data, anion and cation concentrations, methane production and oxidation potential, and nitrification, denitrification and mineralization rates. Data were collected between February 2013 and November 2014. Data were collected to address the hypotheses of how the functional microbial community involved in carbon and nitrogen cycling changed seasonally and with geology. Data were collected as part of the project "The role of lateral exchange in modulating the seaward flux of C, N, P", funded under NERC's Macronutrients Cycles research programme. Full details about this dataset can be found at https://doi.org/10.5285/83f83414-f644-4684-ad5b-e1237fb12fc5

  • Nutrient exchange fluxes in the dark and light, calculated in moles per hour per square metre, between sediment cores and overlying site water in salt marsh and intertidal mudflat locations in Essex and Morecombe Bay, Lancashire in January and August 2013. Net fluxes of nitrate, nitrate, ammonium, oxygen and dissolved organic carbon were measured in temperature controlled water baths over three hour periods. 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/10.5285/740348c5-796b-4a28-bc7f-b0eaf1ee3452

  • These data were collected from surface sediments (0-5 cm) at sites located along the Athens Riviera and Salamina coastline, Greece. The sediments came from both oil-contaminated (via Agia Zoni II oil-spill) and uncontaminated sites and were first collected between September 2017 and April 2018. For sediments taken at each site, data includes hydrocarbon concentrations (alkanes and Polycyclic Aromatic Hydrocarbons (PAHs)), absolute microbial abundance (by Quantitative Polymerase Chain Reaction (qPCR)) of Bacteria, Archaea, and Fungi, and 16S rRNA amplicon libraries of Bacteria and Archaea. Additionally, nutrient concentrations (ammonia, nitrate, nitrite, silicate, and phosphate) were measured from seawater samples taken at the same sites. This study was conducted by the University of Essex, in partnerships with Archipelagos Institute of Marine Conservation and Cranfield University, and funded by the National Environmental Research Council and EnvEast DTP. Full details about this dataset can be found at https://doi.org/10.5285/acf464dc-be75-41b8-9688-f2ba4037ef53

  • This dataset contains diatom species count data from rivers within the Hampshire Avon catchment, UK. Data were collected from five sediment cores at each site, collected in February, April, August and November during 2013. Data were collected as part of the project "The role of lateral exchange in modulating the seaward flux of C, N, P", funded under NERC's Macronutrients Cycles research programme. Full details about this dataset can be found at https://doi.org/10.5285/aec7f752-6be6-4626-bbdb-921bf8d7e3ce

  • [This dataset is embargoed until December 31, 2022]. This dataset contains in-stream measurements of sediment porewater nutrients, nitrification rates (and the fraction which is either fully oxidised to nitrate or reduced to N2 gas), and the abundance of microbial 16S rRNA and specific N-cycling genes and transcripts. Sediments were sampled in winter (February 2018) and summer (July 2018), from 12 UK rivers with permeable beds (sand or chalk geology) and a gradient of P concentrations, in the Hampshire Avon catchment, Kent, and Essex. Methods included measurements of porewater nutrients using Skalar SAN++AutoAnalyser, nitrification rates from in-situ ‘push-pull’ injections of 15N-labelled ammonia and -nitrite, and sediment microbial gene and transcript abundance by DNA extraction and qPCR. The work was supported by the Natural Environment Research Council (Grants NE/P01142X/1, NE/P011624/1; A new dynamic for Phosphorus in RIverbed Nitrogen Cycling - PRINCe Full details about this dataset can be found at https://doi.org/10.5285/d432d96c-7aff-45a5-9d4b-37e4065afdd7

  • This is a dataset of environmental variables, total invertebrate abundance, and mean invertebrate body mass, sampled at 60 soil habitat patches in the Hengill geothermal valley, Iceland, from May to July 2015. The habitat patches span a temperature gradient of 5-22 °C on average over the sampling period, yet they occur within 2 km of each other and have similar soil moisture, pH, total carbon, and total nitrogen. Full details about this dataset can be found at https://doi.org/10.5285/e00770f3-4acf-4fd5-ba29-0a4dbdca09a4

  • 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).