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Meteorological data series from 2008 to 2018 referring to the Bulgarian Black sea LTER site - Sozopol
No full textMeteorological 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 Burga
Catches or recaptures of Apodemus flavicollis and Myodes glareolus
No full textThe overall dataset is composed of 3605 observations (catches or recaptures) related to two species of micro-mammals (Apodemus flavicollis and Myodes glareolus). For each record is given date, species and, when present, identifier and gender. The data were collected over a period of 14 years (1988-1995 & 2000-2005), on a monthly basis and with a significant sampling effort (279 field days)
Col d'Olen, snow chemistry (N-NH4)
No full textDataset 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 2005-2016. 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
LTER Northern Adriatic Sea (Italy) marine data from 1965 to 2015
No full textThe present database contains observations for 21 parameters of abiotic, phyto and zooplankton data collected in the Northern Adriatic Sea region (Italy). It relies on a Comma Separated Values file and it is composed by 108687 records. Due to its long temporal coverage, it is classifiable as Long Term Ecological data. Due to the long temporal coverage, the great part of parameters changed collection and analysis method in time. These variations are reported in the database. A long term database can be useful for multiple purposes. This database has been released under a research project focused on Open Science principles application to marine ecology
LTER Northern Adriatic Sea (Italy) marine data from 1965 to 2015
No full textThe present database contains observations for 21 parameters of abiotic, phyto and zooplankton data collected in the Northern Adriatic Sea region (Italy). It relies on a Comma Separated Values file and it is composed by 108685 records. Due to its long temporal coverage, it is classifiable as Long Term Ecological data. Due to the long temporal coverage, the great part of parameters changed collection and analysis method in time. These variations are reported in the database. A long term database can be useful for multiple purposes. This database has been released under a research project focused on Open Science principles application to marine ecology
Col d'Olen, soil chemistry (extractable N-NH4)
No full textDataset 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 2005-2016. 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
Sample data file with TOAR air quality data for machine learning excercise
No full textThis file has been obtained from the Tropospheric Ozone Assessment Report database described by Schultz, M.G. et al., Elementa Sci. Anthrop., 2017, doi:http://doi.org/10.1525/elementa.244. It contains 6 years of annual NO2 concentration percentiles at German measurement sites and corresponding station metadata. The intended use of these data is to demonstrate the set-up and training of a simple feed forward neural network, which shall attempt to predict the NO2 statistics based on the station characterisation from the metadata information.The data are stored as csv file (comma delimited) with 7 header lines plus column headings. Column headings are: year,id,station_id,station_type,station_type_of_area,station_nightlight_1km,station_wheat_production,station_nox_emissions,station_omi_no2_column,station_max_population_density_5km,perc75,perc98. station_id, station_type, and station_type_of_area are string variables, all other columns are numeric. year, id, and station_id should be ignored for the machine learning. perc75 and perc98 are 75%-iles and 98%-iles, respectively and given in units of nmol per mol (equivalent to ppbv)
Col d'Olen, snow chemistry (N-NH4)
No full textDataset 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 2005-2016. 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, soil chemistry (extractable N-NH4)
No full textDataset 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 2005-2016. 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, snow chemistry (N-NO3)
No full textDataset 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 2005-2016. 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