Mean daily sediment transport (g m^-2 day^-1) under different vegetation types and soil cover in southeastern Utah, USA, 2004 to 2018. by Andrew Kulmatiski (833256)

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The variance explained in sediment transport increased with sample size, but sampling beyond roughly 500 data points provided diminishing improvements. by Andrew Kulmatiski (833256)

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Mean sediment transport (g m^-2 day^-1) by season (Spring, Summer, Winter). by Andrew Kulmatiski (833256)

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Study area (a), location of 52 sediment collection devices (b) and photograph of one of the collection devices in the field, western USA. by Andrew Kulmatiski (833256)

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Variables used to describe variation in sediment transport. by Andrew Kulmatiski (833256)

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Variable importance in Random Forest model of seasonal sediment transport with 1468 observations from 2009 to 2018. by Andrew Kulmatiski (833256)

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Partial dependence plots. by Andrew Kulmatiski (833256)

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Model summary and variance in sediment transport explained by each model. by Andrew Kulmatiski (833256)

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Mean sediment transport (g m^-2 day^-1) by grazing condition (Grazed, Some Graze, and No Graze). by Andrew Kulmatiski (833256)

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Data from: Quantifying seed rain patterns in a remnant and a chronosequence of restored tallgrass prairies in north central Missouri by Katherine Wynne (22078346)

“…We further found that decreases in seed rain quantity across the chronosequence did not correspond with increases in seed mass, suggesting a lack of tradeoffs between these metrics. …”

Presents the bibliometric search results. by Yan She (8639796)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)

Sexual maturity status of female C57BL/6J Mice at different ages. by Yan She (8639796)

Flow chart of data screening and analysis. by Yan She (8639796)

Comparison of Mean Absolute Error (MAE) in Millimeters as a Function of Kernel Size. by Liu Liu (512237)

Graphical representation of the optimization process in machine learning, focusing on the adjustment of weights during gradient descent. by Liu Liu (512237)

Rab10 operates downstream of Rtca to inhibit regeneration. by Qin Wang (109812)

“…<p>(A) Rab10 fluorescence intensity is decreased in <i>Rtca</i> mutants. C3da cell bodies are marked by a dotted white line, and the injured site by a dotted blue circle. …”

Model fits and response predictions for sample cells from each investigated species. by Neda Shahidi (21238796)

“…Below: The output of the excitatory (solid line) and suppressive (dashed line) upstream branches (taken after the upstream nonlinearities) for the subtractive (blue) and the divisive model (red). Arrows here mark spiking events captured by the subtractive model but not by the other two models as well as the corresponding decrease in suppression of the subtractive model. …”

Data Sheet 1_Role of insulin signaling dysregulation in pulmonary vascular remodeling in rats with monocrotaline-induced pulmonary arterial hypertension.pdf by Gufeng Gao (16835753)