Preliminary evaluation of chemical and biological characteristics of the upper St. Johns River basin, Florida

1970 ◽  
Author(s):  
D.A. Goolsby ◽  
B.F. McPherson
Keyword(s):  
River Basin ◽  
Biological Characteristics ◽  
Preliminary Evaluation

Biological characteristics of smolts of European river lamprey Lampetra fluviatilis from the Chernaya River basin (Gulf of Finland, Baltic Sea)

2017 ◽  
Vol 57 (2) ◽  
pp. 276-286 ◽  
Author(s):  
A. V. Kucheryaviy ◽  
I. A. Tsimbalov ◽  
D. Yu. Nazarov ◽  
A. O. Zvezdin ◽  
D. S. Pavlov
Keyword(s):  
Baltic Sea ◽  
River Basin ◽  
Biological Characteristics ◽  
Gulf Of Finland ◽  
Lampetra Fluviatilis ◽  
River Lamprey

scholarly journals COMMERCIAL AND BIOLOGICAL CHARACTERISTICS OF WHITEFISH IN THE RIVER BASIN PYASINA'S

Fisheries ◽  
2020 ◽  
Vol 2020 (6) ◽  
pp. 81-87
Author(s):  
V Zadelenov ◽  
Yulia Forina ◽  
Anna Borozdina
Keyword(s):  
River Basin ◽  
Fish Species ◽  
Kara Sea ◽  
Demographic Characteristics ◽  
Nature Reserves ◽  
Biological Characteristics ◽  
Commercial Fish

This publication presents the results of ichthyologic studies obtained during the inventory of the flora and fauna of the Pyasina river and The pyasinsky Bay of the Kara sea in 2016-2018. The organizer of the work is the Federal state budgetary institution "United Directorate of Taimyr nature reserves". The observed size and age characteristics of muksun, nelma, whitefish, and chira are presented. Their demographic characteristics are shown. The existing fishing on the Pyasina river is described. Purpose: to show the current size, age, and demographic characteristics of the main commercial fish species of the Pyasina river.

Preliminary Evaluation of a Weibull Function for Fitting Slow-Component Eye Velocity over the Time Course of Caloric-Induced Nystagmus

1989 ◽  
Vol 32 (3) ◽  
pp. 681-687 ◽  
Author(s):  
C. Formby ◽  
B. Albritton ◽  
I. M. Rivera
Keyword(s):  
Time Course ◽  
Slow Component ◽  
Weibull Function ◽  
Preliminary Evaluation ◽  
Mathematical Function ◽  
Before And After ◽  
Best Fitting ◽  
Eye Velocity ◽  
Fitting Parameters ◽  
Weibull Equation

We describe preliminary attempts to fit a mathematical function to the slow-component eye velocity (SCV) over the time course of caloric-induced nystagmus. Initially, we consider a Weibull equation with three parameters. These parameters are estimated by a least-squares procedure to fit digitized SCV data. We present examples of SCV data and fitted curves to show how adjustments in the parameters of the model affect the fitted curve. The best fitting parameters are presented for curves fit to 120 warm caloric responses. The fitting parameters and the efficacy of the fitted curves are compared before and after the SCV data were smoothed to reduce response variability. We also consider a more flexible four-parameter Weibull equation that, for 98% of the smoothed caloric responses, yields fits that describe the data more precisely than a line through the mean. Finally, we consider advantages and problems in fitting the Weibull function to caloric data.

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