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Year | Number of Results |
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2019 | 2 |
2020 | 3 |
2023 | 1 |
2024 | 0 |
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Page 1
Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios.
Environ Sci Pollut Res Int. 2023 Apr;30(16):46979-46996. doi: 10.1007/s11356-022-25090-2. Epub 2023 Feb 3.
Environ Sci Pollut Res Int. 2023.
PMID: 36735134
Impacts of climatic and edaphic factors on the diversity, structure and biomass of species-poor and structurally-complex forests.
Ali A, Sanaei A, Li M, Nalivan OA, Ahmadaali K, Pour MJ, Valipour A, Karami J, Aminpour M, Kaboli H, Askari Y.
Ali A, et al. Among authors: nalivan oa.
Sci Total Environ. 2020 Mar 1;706:135719. doi: 10.1016/j.scitotenv.2019.135719. Epub 2019 Nov 28.
Sci Total Environ. 2020.
PMID: 31940728
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Identifying sources of dust aerosol using a new framework based on remote sensing and modelling.
Rahmati O, Mohammadi F, Ghiasi SS, Tiefenbacher J, Moghaddam DD, Coulon F, Nalivan OA, Tien Bui D.
Rahmati O, et al. Among authors: nalivan oa.
Sci Total Environ. 2020 Oct 1;737:139508. doi: 10.1016/j.scitotenv.2020.139508. Epub 2020 May 19.
Sci Total Environ. 2020.
PMID: 32531509
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Environmental filtering, predominance of strong competitor trees and exclusion of moderate-weak competitor trees shape species richness and biomass.
Ali A, Sanaei A, Nalivan OA, Ahmadaali K, Pour MJ, Valipour A, Karami J, Aminpour M, Kaboli H, Askari Y.
Ali A, et al. Among authors: nalivan oa.
Sci Total Environ. 2020 Jun 25;723:138105. doi: 10.1016/j.scitotenv.2020.138105. Epub 2020 Mar 21.
Sci Total Environ. 2020.
PMID: 32224404
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Data on assessment of corrosion-scaling potential and chemical parameters of groundwater quality for industrial and agricultural sectors in the Piranshahr Watershed in the West Azerbaijan province, Iran.
Nalivan OA, Mollaefar E, Soltani E, Karvarinasab M.
Nalivan OA, et al.
Data Brief. 2019 Oct 9;27:104627. doi: 10.1016/j.dib.2019.104627. eCollection 2019 Dec.
Data Brief. 2019.
PMID: 31667324
Free PMC article.
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