B2SHARE Server Forschungszentrum Jülich
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Col d'Olen, soil temperature
Dataset provides information about soil temperature, soil C and N dynamics at different sites in the alpine tundra, along an elevational gradient from 2500 to 2900 m asl during the period 2005-2015. The soil temperature is measured continuously while the soil and the water samples are collected during the snow free season. The ongoing studies aimed at investigating how the meteorological variables affect the biogeochemistry of seasonally snow covered areas, with a special focus on the effect of the snow cover duration on soil and water C and N dynamics during the growing season
Col d'Olen, water chemistry (N-NH4)
Dataset provides information about soil temperature, soil C and N dynamics at different sites in the alpine tundra, along an elevational gradient from 2500 to 2900 m asl during the period 2005-2015. The soil temperature is measured continuously while the soil and the water samples are collected during the snow free season. The ongoing studies aimed at investigating how the meteorological variables affect the biogeochemistry of seasonally snow covered areas, with a special focus on the effect of the snow cover duration on soil and water C and N dynamics during the growing season
Hourly temperature data from selected NRW stations (test data for python course)
These datasets were extracted from the TOAR database (see https://join.fz-juelich.de) for educational purposes. They contain hourly timeseries of measured and assimilated temperature at 3 sites of the Northrhine-Westphalia air quality network run by LANUV (https://www.lanuv.nrw.de/umwelt/luft/immissionen/messorte-und-werte/). Measured data are from LANUV and were obtained from the German Umweltbundesamt. The re-analyzed data are from a reanalysis that was performed at the Meteorological Institute of the University in Bonn, Germany (MIUB) with the COSMO model of the German weather service DWD. The data are intended for use in the Python programming course at the MIUB.Station ids: DENW010 = Unna Königsborn (suburban background) , DENW059 = Köln Rodenkirchen (suburban background) , DENW064 = Simmerath, Eifel (rural background); filenames ending on 'LANUV.csv' contain measured data, filenames ending on 'MIUB.csv' contain the reanalysis data. Measured timeseries are from 2010-01-01 through 2018-12-31, reanalysis timeseries are from 2010-01-01 through 2014-12-31.Data format is CSV with semicolon as separator; Each file has 23 header lines, the last of which contains the column names; Columns are datetime (as YYYY-MM-DD hh:mm), value (i.e. temperature in degC, float, variable length), and flag (float value, always 0)
ClimCKmap Italy for NextData Project
268,977 records from 8,445 binomials and 16,332 localities, dating between 1680 and 2006 AD. climate data were assigned to 268,083 records from 8,414 binomials and 16,311 localities, dating between 1790 and 2006 A
Meteorological data series from 2008 to 2018, referring to the Bulgarian Black sea LTER site – Varna
Meteorological data - near surface daily mean, maximum and minimum air temperature and daily total precipitation sum data series from 2008 to 2018, collected by automatic weather stations located in town of Varna
Meteorological data from 2003 to 2013 for Srebarna lake
Temperature (daily mean, min, max) and precipitation data series, 2003-201
Climate data_LTER_EU_SK_009_Kralova hola_2015-2018.xlsx
Temperature: daily averages, daily maximum. Precipitation: daily sum
Meteorological data from 2007 to 2017 for the Black Sea - Bulgaria
Daily mean air temperature and precipitation sum data series referring to the Bulgarian Black sea LTER sit
LTER_EU_SK_001_Báb - temperature and precipitation data for 2014-2018
Temperature and precipitation data from the LTER site EU_SK_001 Báb for period 2014-2018