Alaska Science Center


Filter Total Items: 8
Date published: March 10, 2021

Nest Survival Bias Analysis

This R script will run one replicate of one scenario used by Weiser (in review) to quantify biases in estimates of nest survival when nests are not found at the beginning of the nesting interval (age 0). The script simulates nest monitoring histories based on input parameters, applies models with or without an age effect to estimate daily survival rates, and calculates nest survival (to the...

Date published: March 16, 2020

Arctic Shorebird Population Model

This R script will run one example of the stochastic matrix models run by Weiser et al. (2020) to simulate shorebird populations. The model predicts population growth rates and elasticity values of vital rates. The example script is stand-alone and contains input values for one example species; input values for the other species are provided in the manuscript.

Date published: August 6, 2018

Python scripts for Bioinformatics, 2017

Bioinformatics software repository containing python scripts intended for search and download of genetic information obtained from GenBank NCBI genetics data resources in support of developing PCR primers, targeted genetic databases, genetic analyses, and data interpretation. Includes multiple functions to streamline this process.

Date published: July 25, 2017

USGS Sea Ice Email Script, 2017

Daily sea ice imagery and charting benefits logistics and navigational planning in the Alaskan Arctic waters, yet access to these data often requires high bandwidth data access and substantial GIS processing.

Date published: June 20, 2017

Model selection in Cormack-Jolly-Seber mark-recapture investigations

Cormack-Jolly-Seber (CJS) mark-recapture models are widely utilized in ecology, providing estimates of vital rates and abundance that are difficult to obtain using other means.

Date published: June 20, 2017

QFASA robustness to assumption violations

Quantitative fatty acid signature analysis (QFASA; Iverson et al. 2004) has become a common method of estimating diet composition, especially for marine mammals, but the performance of the method has received limited investigation.

Date published: January 10, 2017

Quantitative Fatty Acid Signature Analysis in R (qfasar)

Quantitative fatty acid signature analysis (QFASA) is a method of diet estimation introduced over a decade ago (Iverson et al. 2004). 

Date published: November 1, 2012

Douglas Argos-Filter Algorithm

Version 8.50 of the Douglas Argos-Filter (DAF) is qualitatively equivalent to the algorithm that is now freely available through Movebank (, and described in a 2012 article published in Methods in Ecology and Evolution.