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  • This data set includes soil chemical, physical and microbial properties collected across a two-century glacial chronosequence across six streams in Glacier Bay, Southeast Alaska, U.S.A. We measured soil potential nitrification, denitrification, as well as stable isotopes (delta-15N and delta-13C) of leaves and soil to establish how physical and biological changes associated with ecosystem development interact to determine rates of carbon (C) and nitrogen (N) turnover. Secondly, how these interactions were reflected in the isotopic signature of vegetation and SOM. Data were collected between June 2011 and September 2013 during summer sampling campaigns. Full details about this dataset can be found at https://doi.org/10.5285/7c4c1ed0-3d45-4b7f-8007-b81f6028d686

  • Burnt areas are presented with a daily date of burn at 500m resolution for the circumpolar boreal forest zone. The dataset comprises eleven tiff files, one for each year: 2001 to 2011. The aim of this dataset is the improved understanding of spatio-temporal patterns and dynamics of boreal fire intensity and extent, the driving factors behind these variations, and the consequence for carbon fluxes for the whole boreal area. The source data for the daily burnt area product is the 16-day MODIS Nadir BRDF-Adjusted Reflectance (N-BAR) MCD43A4 product on the standard Sinusoidal projection. The burnt areas are identified by thresholding a differencing method, with the resulting fire-scars dated using MODIS thermal anomalies (MOD14A1). The results are annual TIFF images at 500m resolution with the pixel values being the first day of burn for that year. The product was validated using temporal assemblages of ETM images randomly located throughout the whole Boreal zone and analysed on a date and per pixel basis. The result was a Kappa co-efficient of 0.54. This algorithms used to map the burnt areas were developed by members of the CEH Wallingford Earth Observation group. Full details about this dataset can be found at https://doi.org/10.5285/0e2f1043-a08f-49da-a6c5-7ffc4ad6cac4

  • This dataset contains palaeolimnological data from sediment cores taken from five Arctic lakes. Two lakes located in Alaska were cored in July 2013, one lake located in Greenland was cored in April 2013, and two lakes located in Norway were cored in March 2014. The data includes macrofossil, chironomids and Cladocera analysis at 2 cm resolution; and loss on ignition, diatoms, biogenic silica, nitrogen and carbon isotopes, algal photosynthetic pigments and pollen analyses at 1 cm resolution. All cores were subject to X-Ray Fluorescence scanning analysis at 200 or 400 micrometer resolution before subsampling. The data were collected as part of the Lakes and Arctic Carbon project, funded under NERC's Arctic Research Programme. Full details about this dataset can be found at https://doi.org/10.5285/e48aa7ca-e8af-482a-bebd-45291de9584f

  • This dataset contains nutrient chemistry data from 14 lakes in the Arctic region: 4 in Russia and Alaska and 3 in Greenland and Norway. Nutrient chemistry was measured on one occasion only at each lake, with date of collection ranging from 01/04/2011 to 14/03/2014. The following nutrients were measured: total phosphorus, soluble reactive phosphorus, total nitrogen, nitrate, ammonium, chlorophyll a, silicate, sodium, magnesium, potassium, calcium, sulphate, chloride and dissolved organic carbon. All nutrients were measured using standardised methods and the same methods were used between lake samples. The data were collected as part of the Lakes and the Arctic Carbon Cycle (LAC) project, which is funded under NERC's Arctic Research Programme. Full details about this dataset can be found at https://doi.org/10.5285/b6f1e1a4-1f3b-4b74-99e5-651ade10f32c