Dielectric database of organic Arctic soils (DDOAS)
<p>This article presents a dielectric database of organic Arctic soils (DDOAS). The DDOAS was created based on the dielectric measurements of seven samples of organic-rich soils collected in various parts of the Arctic tundra: Yamal Peninsula, Taimyr Peninsula, Samoylov Island (all in the Russ...
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doaj-c1c640c5fcdf4f1695cacdbf349625462020-12-17T07:05:14ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162020-12-01123481348710.5194/essd-12-3481-2020Dielectric database of organic Arctic soils (DDOAS)I. SavinV. MironovK. MuzalevskiyS. FominA. KaravayskiyZ. RuzickaY. Lukin<p>This article presents a dielectric database of organic Arctic soils (DDOAS). The DDOAS was created based on the dielectric measurements of seven samples of organic-rich soils collected in various parts of the Arctic tundra: Yamal Peninsula, Taimyr Peninsula, Samoylov Island (all in the Russian Federation) and the northern slope of Alaska (US). The organic matter content (by weight) of the presented soil samples varied from 35 % to 90 %. The refractive index (RI) and normalised attenuation coefficient (NAC) were measured under laboratory conditions by the coaxial-waveguide method in the frequency range from <span class="inline-formula">∼</span> 10 MHz to <span class="inline-formula">∼</span> 16 GHz, while the moisture content changed from air-dry to field capacity, and the temperature changed from <span class="inline-formula">−40</span> to <span class="inline-formula">+</span>25 <span class="inline-formula"><sup>∘</sup></span>C. The total number of measured values of the RI and NAC contained in the database is more than 1.5 million. The created database can serve not only as a source of experimental data for the development of new soil dielectric models for the Arctic tundra but also as a source of training data for artificial intelligence satellite algorithms of soil moisture retrievals based on neural networks. The DDOAS is presented as Excel files. The files of the DDOAS are available on <a href="https://doi.org/10.5281/zenodo.3819912">https://doi.org/10.5281/zenodo.3819912</a> (Savin and Mironov, 2020).</p>https://essd.copernicus.org/articles/12/3481/2020/essd-12-3481-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
I. Savin V. Mironov K. Muzalevskiy S. Fomin A. Karavayskiy Z. Ruzicka Y. Lukin |
spellingShingle |
I. Savin V. Mironov K. Muzalevskiy S. Fomin A. Karavayskiy Z. Ruzicka Y. Lukin Dielectric database of organic Arctic soils (DDOAS) Earth System Science Data |
author_facet |
I. Savin V. Mironov K. Muzalevskiy S. Fomin A. Karavayskiy Z. Ruzicka Y. Lukin |
author_sort |
I. Savin |
title |
Dielectric database of organic Arctic soils (DDOAS) |
title_short |
Dielectric database of organic Arctic soils (DDOAS) |
title_full |
Dielectric database of organic Arctic soils (DDOAS) |
title_fullStr |
Dielectric database of organic Arctic soils (DDOAS) |
title_full_unstemmed |
Dielectric database of organic Arctic soils (DDOAS) |
title_sort |
dielectric database of organic arctic soils (ddoas) |
publisher |
Copernicus Publications |
series |
Earth System Science Data |
issn |
1866-3508 1866-3516 |
publishDate |
2020-12-01 |
description |
<p>This article presents a dielectric database of organic
Arctic soils (DDOAS). The DDOAS was created based on the dielectric
measurements of seven samples of organic-rich soils collected in various
parts of the Arctic tundra: Yamal Peninsula, Taimyr Peninsula, Samoylov Island
(all in the Russian Federation) and the northern slope of Alaska (US). The organic
matter content (by weight) of the presented soil samples varied from 35 %
to 90 %. The refractive index (RI) and normalised attenuation coefficient
(NAC) were measured under laboratory conditions by the coaxial-waveguide
method in the frequency range from <span class="inline-formula">∼</span> 10 MHz to <span class="inline-formula">∼</span> 16 GHz, while the moisture content changed from air-dry to field capacity, and the temperature changed from <span class="inline-formula">−40</span> to <span class="inline-formula">+</span>25 <span class="inline-formula"><sup>∘</sup></span>C. The total
number of measured values of the RI and NAC contained in the database is
more than 1.5 million. The created database can serve not only as a source
of experimental data for the development of new soil dielectric models for
the Arctic tundra but also as a source of training data for artificial
intelligence satellite algorithms of soil moisture retrievals based on
neural networks. The DDOAS is presented as Excel files. The files of the DDOAS are
available on <a href="https://doi.org/10.5281/zenodo.3819912">https://doi.org/10.5281/zenodo.3819912</a> (Savin and Mironov, 2020).</p> |
url |
https://essd.copernicus.org/articles/12/3481/2020/essd-12-3481-2020.pdf |
work_keys_str_mv |
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