The concentrations of malondialdehyde (a), super oxide dismutase (b), and NOx (nitrate +nitrite)(c) in the burned skin samples of different experimental groups on day 2 and 10. by Omid Mehrpour (9385929)

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Renal (urea and creatinine) (a, b) and Liver function (ALT and AST) (c, d) test in serums of different experimental groups and body weight changes (e) on day 10. by Omid Mehrpour (9385929)

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Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020). by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020) for the two hemispheres. by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020) by countries and territories. by Oswaldo Maillard (20660661)

S1 File - by Zsófia Tróznai (19923854)

“…Larger body height increased the likelihood of selection by about 12%, larger muscle mass by 12% to 25%, larger bone age by 350–400%, while larger percent body fat decreased selection chances by 7%. …”

Flowchart of the selection program. by Zsófia Tróznai (19923854)

“…Larger body height increased the likelihood of selection by about 12%, larger muscle mass by 12% to 25%, larger bone age by 350–400%, while larger percent body fat decreased selection chances by 7%. …”

Seasonal spatial-temporal trends of NDVI in burned areas across Africa, by countries and territories (2001–2020). by Oswaldo Maillard (20660661)

Source Apportionment of Atmospheric Iron in Northern China Based on Three-Year Continuous Measurements by Tianle Zhang (21796679)

“…Instead, annual source contributions changed with dust source rising from 45% to 61%, while combustion sources decreased from 27% to 12%.…”

All source data of the paper “The mimicking and synergistic effects of magnetic fields on caloric restriction” by Xin Zhang (17292393)

Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. B1. by Roman Vavrek (13200141)

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Agreement with tolerance in the order of district towns in the results of SD-TOPSIS application in space ‐ combination A vs. B1. by Roman Vavrek (13200141)

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A set of 5 criteria for the needs of multi-criteria evaluation–combination A. by Roman Vavrek (13200141)

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Identification of the most important and least important criterion using the SD method ‐ all combinations. by Roman Vavrek (13200141)

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The importance of entry criteria from the point of view of the SD method ‐ combinations D1 –D10. by Roman Vavrek (13200141)

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Upper quartile of district towns evaluated by the SD-TOPSIS technique ‐ combination of A, B1, B2 and C1. by Roman Vavrek (13200141)

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Comparison of the regressor within the regression model of SD-TOPSIS technique results across groups of combinations - B1-B5 vs. C1-C10 vs. D1-D10. by Roman Vavrek (13200141)

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Agreement with tolerance in the order of district towns in the results of SD-TOPSIS application in space ‐ combination A vs. D2. by Roman Vavrek (13200141)

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Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. D2. by Roman Vavrek (13200141)

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