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Development of fluorescent staining method and effect of fluorescent staining on benthic invertebrate picking efficiency Development of fluorescent staining method and effect of fluorescent staining on benthic invertebrate picking efficiency
This is a tabular data set that includes intensity and saturation measurements of benthic invertebrates, sample residue, and preservative from samples stained with three fluorescent dyes for the development of a fluorescent staining method to enhance picking efficiency. This data set also contains data evaluating a selected fluorescent method's effects on picking efficiency and...
Sr/Ca and Linear Extension Data for a Modern Orbicella faveolata Colony From Marquesas Keys, Florida, USA Sr/Ca and Linear Extension Data for a Modern Orbicella faveolata Colony From Marquesas Keys, Florida, USA
The coral Strontium/Calcium (Sr/Ca) paleothermometer can provide a powerful proxy for centennial-scale sea-surface temperature (SST) variability in the Caribbean/Atlantic Ocean region. This data release presents a new, 150-year proxy reconstruction (1830-1980 C.E.) of monthly-resolved Sr/Ca-based SST estimates from the coral species Orbicella faveolata collected from the Marquesas Keys...
RESTORE/makESTUSAL, Source code for construction of various statistical models and prediction of daily salinity in coastal regions of the Gulf of Mexico, United States RESTORE/makESTUSAL, Source code for construction of various statistical models and prediction of daily salinity in coastal regions of the Gulf of Mexico, United States
The RESTORE/makESTUSAL software repository contains R language source code that can be used for the construction of various statistical models and output time series of predicted daily salinity coastal regions of the Gulf of Mexico, United States. The source code is expansive, and the repository is organizationally deep following logical organization units. One major subsystem of the...
Simulation and comparison of five estimators of variability in units of standard deviation for small samples drawn from normally distributed data Simulation and comparison of five estimators of variability in units of standard deviation for small samples drawn from normally distributed data
It is convenient to measure or estimate variation in samples or distributions in units of standard deviations. There are alternative methods of estimation of standard deviation aside from the conventional and well-known definition. Estimation of standard deviation for very small samples (as small as two), whereas not always ideal, might be useful in certain practical circumstances. A...
Study of L-kurtosis and several distribution families for prediction of uncertainty distributions, An applied software technical note concerning L-kurtosis use in daily salinity prediction from multiple machine learning methods Study of L-kurtosis and several distribution families for prediction of uncertainty distributions, An applied software technical note concerning L-kurtosis use in daily salinity prediction from multiple machine learning methods
Statistical predictions that are based on multiple machine learning (MML) methods (from including differing training regimes) produce differing predictions. When the predictions are combined to a final estimate, then there are residuals of the predictions spread around the final estimate. It is common to assume normality or near-normality of the residuals (errors), but the assumption of...
Estimate of Georgia water-use data by county for 2020 Estimate of Georgia water-use data by county for 2020
In cooperation with the Georgia Environmental Protection Division, the U.S. Geological Survey compiled four datasets summarizing 2020 water use for the state of Georgia by county. These datasets include: annual aquifer withdrawals; industrial water use by category; public supply water use; and total water use across multiple variables, including domestic, commercial, industrial, mining