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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Ethnic identity as a moderator among APIDA students. by Ronna Bañada (19233063)

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. …”

The correlogram. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

The food consumption quantity. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

Dataset. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

The raw data used in this study. by Yu Fu (16582)

“…<div><p>Objectives</p><p>Hematological malignancies (HMs) pose a severe threat to human health and contribute substantially to the disease burden in mainland China and Taiwan. …”

Disease burden trends of leukemia and lymphoma analyzed by joinpoint regression analysis in mainland China. by Yu Fu (16582)

Disease burden trends of multiple myeloma and other hematological neoplasms analyzed by joinpoint regression analysis in mainland China. by Yu Fu (16582)

Projections of incidence for hematological malignancies in mainland China. by Yu Fu (16582)

Age- and sex-specific distribution of prevalence, incidence, mortality, and DALY rates for leukemia in mainland China. by Yu Fu (16582)

Projections of mortality for hematological malignancies in mainland China. by Yu Fu (16582)