Effect of sample size on reproducibility. by Jan Willem Koten (17743224)

Distribution Coefficients of the REEs, Sr, Y, Ba, Th, and U between α‑HIBA and AG50W-X8 Resin by Haoyu Li (1672648)

“…For all 19 elements, the distribution coefficients decrease with increasing acid concentration. For the REEs, a linear relationship is observed in log–log space between <i>K</i>_d values and α-HIBA molarity. …”

Anti-dystrophin staining for TA, GA and SOL muscles. by Joshua Park (719780)

Lakes in Europe harbour more anthropogenic microparticles than elsewhere. by Andrew J. Tanentzap (10227764)

Body weight, femoral length and <i>Notch3</i> transcripts of 8.5–9 week old male <i>Notch3</i>^{<i>em1Ecan</i>} mutant mice (gray bars) and littermate controls (white bars)... by Ernesto Canalis (516050)

Predicted distance (km) needed to achieve a correlation coefficient of at least r =  0.50 using the median-based linear regression models. by Claire Stevens (11127729)

Comparisons of both drugs for different assays performed to evaluate the IC₅₀ and IC₉₀ values against <i>L</i>.<i>major</i> parasites.(ND- Not defined). by Harshita Sharma (4836180)

IC₅₀ of indole alkaloid against lipase [23]. by Atikarn Janthongkaw (17020498)

The mean number of the emerged <i>D. melanogaster</i> adults. Mean number (±SE) of emerged adults and average percentage (±SE) of the residual fertility at the different treatment... by Flavia Cerasti (21655934)

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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Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

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