<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16(1)</volume><submitter>Saeidinia M</submitter><journal>Scientific reports</journal><pagination>7377</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12923653</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>High-resolution forecasting of soil thermal regimes using different deep learning frameworks under climate change.</pubmed_title><pmcid>PMC12923653</pmcid><pubmed_authors>Nasrolahi A</pubmed_authors><pubmed_authors>Saeidinia M</pubmed_authors><pubmed_authors>Haghiabi AH</pubmed_authors><pubmed_authors>De Michele C</pubmed_authors><pubmed_authors>Nazeri Tahroudi M</pubmed_authors></additional><is_claimable>false</is_claimable><name>High-resolution forecasting of soil thermal regimes using different deep learning frameworks under climate change.</name><description/><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Feb</publication><modification>2026-07-09T11:49:52.991Z</modification><creation>2026-07-09T11:02:25.763Z</creation></dates><accession>S-EPMC12923653</accession><cross_references><pubmed>41644622</pubmed><doi>10.1038/s41598-026-38496-6</doi></cross_references></HashMap>