Data on pollen is very valuable for many scientific questions relating to climate change, ecology and allergology. This data is analysed according to European standards by analysts at the Medical University of Vienna. At the Biologische Station Neusiedler See, a so-called pollen trap is used, which is positioned on the roof of the station and is maintained on a weekly basis. Air is sucked in and pollen particles adhere to a rotating adhesive film, allowing not only the detection of certain pollens, but also their temporal classification. This makes this method suitable for determining the pollen count and pollen forecasting.

Additional Information, corresponding to "Investigating processes within the soil-plant continuum: Sub-soil data of minirhizotron facilities in Selhausen". This repository contains the experimental information that belong to the paper.

Vegetational surveys have been carried out starting from late summer 2015 in order to assess the site composition. The interpretation of vegetational data will be carried out taking into account the soil nutrients status.

11 cm diameter dry pitfall traps are placed in the ground and left open for a week before counting the organisms. The organisms are identifiedon site to the best recognizable unit, and they are released soon after the count.

10 minute interval temperature and precipitation in °C and mm from different sensors of a meteorological station

Meteorological data of the LTER station Zöbelboden from the year 2012

Global radiation of Blaseneck, Oberkainz, Schröckalm, Kölblwiese, Zinödl, Weidendom and Gscheidegg.

Data refer to meteorological measurements for the mesotrophic eastern and eutrophic western basin of Lake Balaton. Variables in the dataset include air temperature, precipitation, wind speed and global radiation, data are aggregated as weekly sum or average.

The data are gathered within the TERENO (Terrestrial Environmental Observatories) long-term research programme involving several Helmholtz Association Centers in Germany (www.tereno.net). TERENO aims to catalogue the longterm ecological, social and economic impact of global change at regional and landscape level. The biodiversity part of TERENO deals with monitoring and research on different organism groups: (1) Vascular plants (primary producers, overall biodiversity indicators), (2) Bees &amp; Hoverflies (important pollinators; ecosystem service agents), (3) Butterflies (indicators for habitat quality, pollinators), (4) Birds (highly mobile, sensitive to landscape context, integrative at landscape scale).</p><p>This dataset covers bird count data of 4x4 km landscapes in Saxony-Anhalt (Germany) dominated by agricultural use. All singing, calling and seen birds were registered according to the point counts method described by Bibby et al. (1992): Bird census techniques, Academic press, London.

Meteorological data provided for the H2020 eLTER project