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Jul 30, 2021 - Ökoloogia ja maateaduse andmed
Gul, Bilal, 2021, "Supplementary data", https://doi.org/10.23673/RE-291, DATADOI, V1
C and O isotope data for late Ordovician and early Silurian to evaluate the palaeotemperatures and palaeoenvironmental variability in Baltica from bulk rock and brachiopod shells.
Jul 30, 2021 - Supplementary data
HTML - 1.6 KB - MD5: 5499dacff41b21a1dfca801049f86a64
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
Jul 30, 2021 - Supplementary data
MS Excel Spreadsheet - 20.7 KB - MD5: b9b506d2a2b5585d62ab6492033182cd
Jun 17, 2021 - Ökoloogia ja maateaduse andmed
Mänd, Pille, 2021, "BioVolHum", https://doi.org/10.23673/RE-287, DATADOI, V1
Higher humidity, which is predicted for northern latitudes, can cause significant changes in forest growth and function. Increase in air humidity at FAHM experimental site, Estonia, has shown to affect tree water status and increases the levels of antioxidants and accumulation of carbohydrates in leaves. This datasets provides data of VOC and NOX e...
Jun 17, 2021 - BioVolHum
MS Word - 13.9 KB - MD5: 231020b97c59bf1241028b732e41abdc
Explanation of Shared_data2019.xlsx
Jun 17, 2021 - BioVolHum
HTML - 798 B - MD5: fb3e4249075339a0af727c6ac88a429b
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
Jun 17, 2021 - BioVolHum
MS Excel Spreadsheet - 22.4 KB - MD5: 856c6fb85114ad88261b53e32a21c532
Feb 15, 2021 - Ökoloogia ja maateaduse andmed
Virro, Holger; Amatulli, Giuseppe; Kmoch, Alexander; Shen, Longzhu; Uuemaa, Evelyn, 2021, "GRQA: Global River Water Quality Archive", https://doi.org/10.23673/RE-273, DATADOI, V1
Newer versions of this data can be found here: https://doi.org/10.5281/zenodo.5097436 A major problem related to large-scale water quality modeling has been the lack of available observation data with a good spatiotemporal coverage. This has affected the reproducibility of previous studies and the potential improvement of existing models. In additi...
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