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PEARL TF-PV, thin-film modules, shunts and droplets
# A training and testing dataset
The dataset contains labelled images of thin-film modules collected
during the PEARL project.
This dataset is used in this paper:
@article{sovetkin2020encoder,
title={Encoder-decoder semantic segmentation models for electroluminescence images of thin-film modules},
author={Sovetkin, Evgenii and Weber, Thomas and Achterberg, Elbert Jan and Pieters, Bart Elger},
journal={IEEE Journal of Photovoltaics},
year={2020},
}
## Structure of the data
The data is split onto 3 groups: training, testing and
final_evaluation. Each group contains labelled images for droplets and
shunts.
All images are located in "images" directory. All labelled images are
located in "labels" directory
Snow-glide model in LTER Research Site Stubai Valley, Austria
The aim of the study was to identify the most important drivers for snow-gliding and to establish a spatial snow glide model (SSGM). The snow-glide measurements were conducted for the Kaserstattalm within the LTER Research Site Stubai Valley. The dataset provides information about the influence variables on snow gliding such as: slope, aspect, tree precence and density, surface rougness, winter precipitation, mean winter temperature,... The measurements were conducted during winter in the period 1997-2002. The dataset also contains a shapefile representing the distribution of the 65 measurement points
LTER Shita, Israel, Biodiversity Butterflies_2016-2019
Day visual observations using butterfly net/ camera/ binocular, The observations are conducted by a single observer, walking along belt transects,20-30 minutes for each transect. The data collection follows the National Butterfly Monitoring Scheme in Israel (BMS-IL) protocol and using their app
LTER Zöbelboden, Austria, Soil water chemistry 2014
Soil water chemistry of two forest stands in the site LTER Zöbelboden from the year 201
LTER Zöbelboden, Austria, Litterfall chemistry, 2014
Litterfall chemistry data of the LTER station Zöbelboden from the year 201
Braila Islands LTSER site (LTER_EU_RO_006) chemical parameters
The data is for the Braila Islands LTSER site (LTER_EU_RO_006), for the following chemical parameters : NH4N, NO3N, NO2N, Ntot, SS, PH, OM, HH, PO4P, Ptot, for the years 2006, 2008, 2009, 2011, 201
Vegetation data of Rosalia Lehrforst, Austria, between the years 1977 and 1981
Vegetation data of Rosalia Lehrforst, Austria, between the years 1977 and 1981. Location (Lat, Lon) known within 100-200
pH in Lake Santo Parmense (1991)
Dataset provides pH measured in Lake Santo Parmense in 1991. Water samples were collected by means of a Ruttner bottle at different depths over the whole water column at the point of maximum depth of the lake. pH was measured by means of a pH meter
Basic meteo at Las Tablas de Daimiel National Park (1992-2016)
Basic meteorologic data from authomatic weather stations (MeteoAutoTDNP_1: GEONICA METEODATA 256 [1992-1999; Currently not in operation], MeteoAutoTDNP_2: METEODATA/HYDRODATA 1256C [2001-]). Values recorded at 10 min intervals and then averaged for daily data (mean or sum)
LTER Zöbelboden, Austria, Runoff Water Chemistry, 2013
Runoff water chemistry data of the LTER station Zöbelboden from the year 201