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A dataset of soil microstructure features and the weather conditions affecting them from 2005 to 2021 in the Caspian Depression
The soil cover of semi-desert territories is sensitive to modern climatic changes, responding to a change in the composition of soil complexes. Soil microstructure features reflect minor changes in microrelief or fluctuations in the level of groundwater. This property of soil microstructure to memor...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867056/ https://www.ncbi.nlm.nih.gov/pubmed/35242937 http://dx.doi.org/10.1016/j.dib.2022.107957 |
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author | Romanis, T. Lebedeva, M. Kolesnikov, A. Sapanov, M. Sizemskaya, M. |
author_facet | Romanis, T. Lebedeva, M. Kolesnikov, A. Sapanov, M. Sizemskaya, M. |
author_sort | Romanis, T. |
collection | PubMed |
description | The soil cover of semi-desert territories is sensitive to modern climatic changes, responding to a change in the composition of soil complexes. Soil microstructure features reflect minor changes in microrelief or fluctuations in the level of groundwater. This property of soil microstructure to memorize soil formation conditions is used for subsequent characterization of changes in long-term climatic trends. But in semi-desert climates, it can be used as an indicator of short-term weather series. This article presents data collected on the territory of the Caspian Depression in the Dzhanybek Research Station of the Institute of Forest Science RAS. The soil cover of the studied site of this station is represented by a semi-desert, two-component meadow-steppe Solonetzic soil complex that strictly follows the elements of the local microtopography. The height range between the studied pits is 8 cm. The dataset includes micromorphological photographs of the state of the soil complex in 2005. This year is an initial moment for modeling soil properties at the present day taking into account the changed weather parameters. The weather data was collected between February 2005 and June 2021. It includes daily, decadal and monthly data related to air temperature, relative air humidity, wind speed and precipitation, soil temperature and depth of freezing (thawing) of the soil, snow cover depth. The measurement methods did not change throughout the entire observation period, which makes it possible to use the data to correct forecasts of the response of drylands to modern climatic changes with the subsequent verification of models in the field at present. |
format | Online Article Text |
id | pubmed-8867056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88670562022-03-02 A dataset of soil microstructure features and the weather conditions affecting them from 2005 to 2021 in the Caspian Depression Romanis, T. Lebedeva, M. Kolesnikov, A. Sapanov, M. Sizemskaya, M. Data Brief Data Article The soil cover of semi-desert territories is sensitive to modern climatic changes, responding to a change in the composition of soil complexes. Soil microstructure features reflect minor changes in microrelief or fluctuations in the level of groundwater. This property of soil microstructure to memorize soil formation conditions is used for subsequent characterization of changes in long-term climatic trends. But in semi-desert climates, it can be used as an indicator of short-term weather series. This article presents data collected on the territory of the Caspian Depression in the Dzhanybek Research Station of the Institute of Forest Science RAS. The soil cover of the studied site of this station is represented by a semi-desert, two-component meadow-steppe Solonetzic soil complex that strictly follows the elements of the local microtopography. The height range between the studied pits is 8 cm. The dataset includes micromorphological photographs of the state of the soil complex in 2005. This year is an initial moment for modeling soil properties at the present day taking into account the changed weather parameters. The weather data was collected between February 2005 and June 2021. It includes daily, decadal and monthly data related to air temperature, relative air humidity, wind speed and precipitation, soil temperature and depth of freezing (thawing) of the soil, snow cover depth. The measurement methods did not change throughout the entire observation period, which makes it possible to use the data to correct forecasts of the response of drylands to modern climatic changes with the subsequent verification of models in the field at present. Elsevier 2022-02-15 /pmc/articles/PMC8867056/ /pubmed/35242937 http://dx.doi.org/10.1016/j.dib.2022.107957 Text en © 2022 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Romanis, T. Lebedeva, M. Kolesnikov, A. Sapanov, M. Sizemskaya, M. A dataset of soil microstructure features and the weather conditions affecting them from 2005 to 2021 in the Caspian Depression |
title | A dataset of soil microstructure features and the weather conditions affecting them from 2005 to 2021 in the Caspian Depression |
title_full | A dataset of soil microstructure features and the weather conditions affecting them from 2005 to 2021 in the Caspian Depression |
title_fullStr | A dataset of soil microstructure features and the weather conditions affecting them from 2005 to 2021 in the Caspian Depression |
title_full_unstemmed | A dataset of soil microstructure features and the weather conditions affecting them from 2005 to 2021 in the Caspian Depression |
title_short | A dataset of soil microstructure features and the weather conditions affecting them from 2005 to 2021 in the Caspian Depression |
title_sort | dataset of soil microstructure features and the weather conditions affecting them from 2005 to 2021 in the caspian depression |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867056/ https://www.ncbi.nlm.nih.gov/pubmed/35242937 http://dx.doi.org/10.1016/j.dib.2022.107957 |
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