Process map (top) and Fault tree (bottom) produced from three failure modes in Table 6. by Mohammad Bakhtiari (11838264)

Map of the 20 study orchards. by Carmelo Gómez-Martínez (9384385)

Elevation map defining directions where mucus can be transported. by Monica E. Shapiro (22622240)

National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Hawaii by U.S. Forest Service (17476914)

“…A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value. …”

Evolutionary tree analysis of ZmSTOMAGEN. by Juan-Juan Xu (18590868)

National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Southeast Alaska by U.S. Forest Service (17476914)

“…The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. …”

AI KRegression by CHIN-CHENG CHU (20718575)

National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Puerto Rico USVI by U.S. Forest Service (17476914)

“…The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. …”

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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A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Heat map of intestinal microbiota from healthy and diseased shrimp at the genus level. by Lalitphan Kitsanayanyong (19353505)

Bioclimatic variables used for MaxEnt modeling. by Dong-Joo Kim (1797640)

“…Landscape tree also have specific climatic ranges and environmental requirements, making them susceptible to climate change. …”