B2SHARE Server Forschungszentrum Jülich
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Daily total precipitation (sum) data series from 2003 to 2013 for Belasitsa
No full textDaily total precipitation (sum) data series from 2003 to 2013 for the Bulgarian LTER site Belasits
Bulk precipitation, throughfall chemistry and deposition of Petrohan, Bulgaria, 2009-2017
No full textAnnual bulk precipitation and throughfall deposition: NO3 and NH4, SO4, Base cations (Na, K, Ca, Mg) at Petrohan site, 2009-201
LTER Collelongo-Selva Piana ABR1 Precipitation and throughfall data 1998-2017
No full textLong-term monitoring (1998-2017) of precipitation and throughfall chemistry at the 250 ha study site Collelongo-Selva Piana ABR1 (LTER_EU_IT_031
Dutch Wadden Sea, Vegetation plot data, 1950 - 2017
No full textVegetation plots provided for the H2020 eLTER project collected between 1950 and 2017, though most from the period between 1990 and 2017. In total 42,227 vegetation plots were extracted from the European Vegetation Archive http://euroveg.org/eva-database (EVA). Permission was granted by WENR, B-Ware, KWR, LMF, Marcel Horsthuis, Natuurmonumenten, Groningen Province, Rijkswaterstaat (CIV, Delft) and Staatsbosbeheer. Most vegetation plots were collected in dunes and on saltmarshes. All available vegetation plotsa within the contour of LTSER Dutch Wadden Sea and for which permission was granted were extracted from the European Vegetation Archivehttp://euroveg.org/eva-database (EVA). EVA is an initiative of the European Vegetation Survey aimed at establishing and maintenance of a single data repository of vegetation-plot observations (i.e. records of plant taxon co-occurrence at particular sites, also called phytosociological relevés) from Europe and adjacent areas and to facilitate the use of these data for non-commercial purposes, mainly academic research and applications in nature conservation and ecological restoration. The initiative follows the EVA Data Property and Governance Rules. It closely cooperates with the Global Index of Vegetation-Plot Databases (GIVD), the Global Vegetation Database (sPlot) and the Plant Trait Database (TRY). Nomenclature of vascular plant species follows http://www.emplantbase.org/home.html and for all other species groups the NDFF Verspreidingsatlas https://www.verspreidingsatlas.nl/. As far as possible, vegetation plots were assigned to EUNIS habitat types (level 3). For major groups E (grassland), F (heath, scrub and tundra) and G (forest) the coding follows the revised classification that Wageningen Environmental Research carried through as commissioned by the European Environmental Agency https://www.eea.europa.eu/. Data were made available by Alterra, B-Ware, KWR, LMV, Marcel Horsthuis, Natuurmonumenten, Province of Groningen, Rijkswaterstaat (CIV, Delft) and Staatsbosbeheer. Organisations managing nature areas, like Natuurmonumenten and Staatsbosbeheer use vegetation plots to assess the status of the nature areas they protect. Rijkswaterstaat uses vegetation plot data to calibrate aerial photographs to create vegetation maps of the saltmarshes in the Netherlands as part of the trilateral monitoring of these saltmarshes http://www.waddensea-secretariat.org/monitoring-tmap/topics/salt-marshes
LTER Val Masino Precipitation and throughfall data 1997-2015
No full textLong-term monitoring (1997 to 2015) of precipitation and throughfall chemistry at VAL MASINO (LTER_EU_IT_028
zooplankton
No full textThe aim of the project, was to assess fish biomass and their spatial-temporal distribution patterns in the Sulejów Reservoir in relation to cyanobacterial blooms. Additionally the spatial and temporal dynamics of physical variables, inorganic nutrients, zooplankton and phytoplankton chlorophyll a were collected to help understanding which factors are controlling the development of the bloom and determine fish behavior
Meteorological Data Murau (Austria)
No full textDaily precipitation and average daily temperature data series from 2010 to 2017 for the Austrian LTER Site Murau (ICP_FO_AU16
ESO dataset - luminance channel - 3 different quantization levels
No full textThe original image was taken at the ESO Paranal Observatory in Chile by the Visible and Infrared Survey Telescope for Astronomy (VISTA), that is available at (https://www.eso.org/public/images/eso1242a/). It portraits more than 84 million stars in the central regions of the Milky Way. The RGB image is simplified to a singular luminance channel by weighing and summing the bands, so that L = 0.2126xR + 0.7152xG + 0.0722xB. Three different quantization levels are uploaded and stored with the Hierarchical Data Format 5 (HDF5) format.: 8-uint bpp, 16-uint bpp and 32-float bpp
LTER_EU_PT_009_Vegetation&Soil_2012
No full textData of biomass, and soil sediment (organic matter, pH, temperature and particle size [ 250 and < 1000 µm]), for three diferent sites of Ria de Aveiro associated to two plant species: Juncus maritimus and Spartina maritima. Period of field survey has been bimestral in the year 201
Meteorological data for Brenna (Poland) - air temperature and precipitation
No full textMeteorological data for Brenna (Poland) - air temperature and precypitation (1900 - 2017