ACID-PRUF was a three year NERC directed programme that investigated the complex interaction of aerosols and clouds. The overall aims of ACID-PRUF were to reduce the uncertainty in the radiative forcing associated with the aerosol indirect effects though a targeted laboratory and modelling programme. This dataset collection contains measurements of freezing fraction of water solution droplets-solute and suspended matter during the immersion freezing of pollen extracts (birch pollen, Betula fontinalis occidentalis, Sigma-Aldrich, P6895-1G), with a new cold electrodynamic balance (CEDB).

ACID-PRUF was a three year NERC directed programme that investigated the complex interaction of aerosols and clouds. The overall aims of ACID-PRUF were to reduce the uncertainty in the radiative forcing associated with the aerosol indirect effects though a targeted laboratory and modelling programme. This dataset collection contains measurements of freezing fraction of water solution droplets-solute and suspended matter during the immersion freezing of pollen extracts (birch pollen, Betula fontinalis occidentalis, Sigma-Aldrich, P6895-1G), with a new cold electrodynamic balance (CEDB).

This dataset contains fossil and modern pollen data collated during a workshop held in the UK in 2008 as part of the NERC (Quantifying and Understanding the Earth System) QUEST programme. The 96 sampling sites are located from 24°E (western Ukraine and Belarus) to easternmost Siberia, and lie north of latitude 40°N. The sample ages range from 21ka to present and are assigned to 1,000 year time slices. The dataset has been checked for consistent taxonomy and a redundancy-free taxonomy has been produced. Full details about this dataset can be found at https://doi.org/10.5285/6aeba247-52d1-4e84-949f-603742af40c1

Palaeoecological proxy data (pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF)) recovered from lake sediments, cliff exposures, surface soils and moss pollsters within the eastern Andean cloud forest of Ecuador. Palaeoecological proxy data were recovered from lake sediments, surface soil and moss pollsters within the eastern Andean cloud forest of Ecuador. Materials and proxy data were collected with the aim of understanding how ecosystem dynamics were driven by anthropogenic, physical and climatic impact through time (late Quaternary). Here, data are provided for pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF). Field samples were collected throughout 2012-2013 from the Napo province of Ecuador and analysed in the laboratory throughout 2014-2015 at The Open University (UK). Full details about this dataset can be found at https://doi.org/10.5285/952e8ddb-b573-44ad-a930-2c8c5164a381

This dataset contains information about multiple palaeoecological proxies – pollen, non-pollen palynomorphs, spores, microcharcoal, plant macrofossils and macrocharcoal – generated from stand-scale (forest hollow-based) analyses of Cambusurich Wood Site of Special Scientific Interest, Scotland (Ordnance Survey grid reference: NN 62741 34679). The site’s chronology and loss-on-ignition (LOI) analyses are also provided. Full details about this dataset can be found at https://doi.org/10.5285/60952512-b682-4bd6-a609-365f64944fda

Ecosystem productivity data primarily from two forest census plots, NYO-03 and VEN-02, located in the Pastaza-Marañón Basin in Amazonian Peru. Site NYO-03 is a peatland pole forest, and Site VEN-02 is a palm swamp. The aim of the measurements was to estimate and compare rates of litter and root production and decay at the two sites, over a complete annual cycle, in order to understand the dynamics of carbon accumulation in peat in this region. Selected datasets extend to other sites, in order to provide some context for the measurements from NYO-03 and VEN-02. Downcore data from peat cores from the sites provide palaeoecological information. Full details about this dataset can be found at https://doi.org/10.5285/e34dc4c7-57d8-4120-921b-06d2f25d5e04

This dataset provides pollen production values for 168 common plant species found in the UK. The dataset consists of pollen volume per flower, calculated from pollen grain number and pollen grain size. Pollen data can be useful in identifying the high pollen producing species for pollinator conservation and it can be combined with floral surveys to estimate the pollen production of plant communities. Full details about this dataset can be found at https://doi.org/10.5285/0b454d53-dfe7-48fd-9e18-b683d004b159

The following data set describes regional and temporal occurrence of plants foraged upon by managed honey bees (Apis mellifera). This data was derived from DNA meta-barcoding of pollen extracted from honey samples provided by bee keepers archived as part of the UK National Honey Monitoring Scheme (https://honey-monitoring.ac.uk/). All data provided is from the first full year of the scheme in 2019. Working in partnership with UK beekeepers, the National Honey Monitoring Scheme aims to use honeybees to monitor long-term changes in the condition and health of the UK countryside. Data associated with subsequent years will be made available as samples are processed. The Honey Monitoring Scheme is supported by national capability funding from UK Centre for Ecology & Hydrology under the ASSIST programme. Full details about this dataset can be found at https://doi.org/10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5

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

The dataset contains abundance data of airborne pollen (including Anthoxanthum odoratum (sweet vernal-grass), Arrhenatherum elatius (false oat-grass), Cynosurus cristatus (crested dog's-tail), Dactylis glomerata (cock's-foot), Lolium perenne (perennial ryegrass), Phleum pratense (Timothy), Poa pratensis (smooth meadow-grass), grass species within the genera Alopecurus/Agrostis, and one probe that was found to be degenerate and unable to discriminate grass species. Here we used qPCR to track the seasonal progression of airborne grass pollen, in time and space. To do this we collected aerial samples from thirteen sites across the UK during the pollen seasons (May to September) of 2016 and 2017. Full details about this dataset can be found at https://doi.org/10.5285/28208be4-0163-45e6-912c-2db205126925