Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

“…By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

Minimal data set. by Ikuo Mikoshiba (9312007)

“…Results indicated that both the DFAT and DFAT + bFGF groups exhibited significantly reduced glottic gaps, increased collagen deposition, and decreased TUNEL-positive apoptotic cells compared to controls. …”

Significant gene set results from EGSEA. by Katherine M. Peterson (19746455)

“…<p>The significant gene sets returned by EGSEA analysis of serum-deprived ARPE-19 cell differentially expressed genes. …”

Significant condition. by Junxia Zhou (14381598)

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Networks favouring more connected individuals results in a significant decrease to the likelihood of network recovery. by Adam Lee Miles (14123916)

Data Set. by Yang Li (7082)

Number of finishers by age group for women and men with the overall race times for each age group (HH:MM:SS). by Beat Knechtle (5504402)

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The performance difference between the sexes (in percent) across age groups for split disciplines and overall race times. by Beat Knechtle (5504402)

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Participants by event status and sex. by Beat Knechtle (5504402)

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S1 Data - by Beat Knechtle (5504402)

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Sex difference in swimming by split disciplines by the type of swim, bike, and run course. by Beat Knechtle (5504402)

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Average split and overall race times (HH:MM:SS). by Beat Knechtle (5504402)

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Split and overall race times for women and by age group. by Beat Knechtle (5504402)

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Trends of average and best race times for IRONMAN^® age group triathletes. by Beat Knechtle (5504402)

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S2 Data - by Beat Knechtle (5504402)

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Number of finishers by sex and men-to-women ratio over the years between 2002 and 2022. by Beat Knechtle (5504402)

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Split and overall IRONMAN^® race times histograms for women and men. by Beat Knechtle (5504402)

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Men-to-women ratio across age groups. by Beat Knechtle (5504402)

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Trend of the sex difference across years in overall race time. by Beat Knechtle (5504402)

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