Data sources for calibration and evaluation. by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

%-change after 3 and 12 months of hormone therapy in trans women and trans men. by Moya H. Schutte (12245290)

Absence of neocortex is associated with a dorsal shift of piriform cortex in <i>Emx1</i>-cKO mice. by Sathish Venkataramanappa (10331993)

S1 Data - by Jan Willem Koten (17743224)

“…The mean connectivity decreased to r = 0.09 (95% CI 0.03–0.16) when test-retest reliability and auto-correlations of single time courses were considered, indicating that less than a quarter of connectivity is detectable. …”

Connectivity statistics. by Jan Willem Koten (17743224)

“…The mean connectivity decreased to r = 0.09 (95% CI 0.03–0.16) when test-retest reliability and auto-correlations of single time courses were considered, indicating that less than a quarter of connectivity is detectable. …”

DataSheet1_Are the 50 m Race Segments Changed From Heats to Finals at the 2021 European Swimming Championships?.PDF by Raúl Arellano (13036584)

“…Specifically, combining men and women, the swimmers had in freestyle a mean coefficient of variation (CV) of ∼0.6%, with a mean range of performance improvement (∆%) of ∆ = ∼0.7%; in breaststroke a mean CV of ∼0.5% and ∆ = −0.2%; in backstroke a mean CV of ∼0.5% and ∆ = −0.6%, and; in butterfly a mean CV of ∼0.7% and ∆ = −0.9%. …”

DataSheet2_Are the 50 m Race Segments Changed From Heats to Finals at the 2021 European Swimming Championships?.pdf by Raúl Arellano (13036584)

“…Specifically, combining men and women, the swimmers had in freestyle a mean coefficient of variation (CV) of ∼0.6%, with a mean range of performance improvement (∆%) of ∆ = ∼0.7%; in breaststroke a mean CV of ∼0.5% and ∆ = −0.2%; in backstroke a mean CV of ∼0.5% and ∆ = −0.6%, and; in butterfly a mean CV of ∼0.7% and ∆ = −0.9%. …”

Reproducibility of response time and brain measures. by Jan Willem Koten (17743224)

Table1_Familial Hypercholesterolemia: Real-World Data of 1236 Patients Attending a Czech Lipid Clinic. A Retrospective Analysis of Experience in More than 50 years. Part I: Genetic... by Veronika Todorovova (12157917)

“…Our data represent retrospective analysis of 50 years of specialised care in our center.</p><p>Patients and Methods: A group of 1236 FH patients (841 women, 395 men; 993 study subjects and 243 relatives; mean age 44.8 ± 16.7 years) included 154 FDB patients followed at the Lipid Clinic of the General University Hospital in Prague since the mid-1960s to the present. …”

Image1_Familial Hypercholesterolemia: Real-World Data of 1236 Patients Attending a Czech Lipid Clinic. A Retrospective Analysis of Experience in More than 50 years. Part I: Genetic... by Veronika Todorovova (12157917)

“…Our data represent retrospective analysis of 50 years of specialised care in our center.</p><p>Patients and Methods: A group of 1236 FH patients (841 women, 395 men; 993 study subjects and 243 relatives; mean age 44.8 ± 16.7 years) included 154 FDB patients followed at the Lipid Clinic of the General University Hospital in Prague since the mid-1960s to the present. …”

Sampled locations with banana in 2016. by Dennis Ochola (11626912)

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Fig 3 - by Dennis Ochola (11626912)

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Classification and regression tree (CART) showing the biophysical factors associated with geographic shift in banana at national level. by Dennis Ochola (11626912)

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Scanned map of historical locations with banana in 1958. by Dennis Ochola (11626912)

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Fig 6 - by Dennis Ochola (11626912)

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Fig 9 - by Dennis Ochola (11626912)

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Fig 7 - by Dennis Ochola (11626912)

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Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

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Fig 4 - by Dennis Ochola (11626912)

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Fig 5 - by Dennis Ochola (11626912)

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