Online course on statistical modeling in population ecology. Includes instructional videos with associated code and data.

[Meta R-package on CRAN] Analyse forest diversity and dynamics

Study on the terrestrial mammals to investigate how weather influences annual abundance changes

code to reproduce AIH results

Random Encounter Modelling in R

MUSET. Set of utilities for the construction of abundance unitig matrices from sequencing data

QPAD book: point count data analysis

[R-package on CRAN] Analyze fgeo data.

BAM Landbird Models

This repository contains data and analysis from a 2022 regional survey conducted in coastal North Carolina and Virginia. The primary focus was modeling the abundance and occupancy of a threatened bird species in these areas using R.

Some Interesting Quotes

Extracellular Vesicles Abundance of ncRNAs expression quantification tool

Wagoner / Kawano BBN code modifications to measure abundance

Awake Universal Healthcare

⧖ mirror of: https://gitlab.com/emjayess/whats-good

JSON containing information about isotopes with JavaScript

Docker to run sailfish for quantification of isoform abundance

Davis, K. L., Silverman, E. D., Sussman, A. L., Wilson, R. R., Zipkin, E. F. (2022). Errors in aerial survey count data: Identifying pitfalls and solutions. Ecology and Evolution 12:e8733.

Regehr, E. V., N. J. Hostetter, R. R. Wilson, K. D. Rode, M. S. Martin, and S. J. Converse. 2018. Integrated Population Modeling Provides the First Empirical Estimates of Vital Rates and Abundance for Polar Bears in the Chukchi Sea. Scientific Reports 8:16780.

Regehr, E. V., N. J. Hostetter, R. R. Wilson, K. D. Rode, M. S. Martin, and S. J. Converse. 2018. Integrated Population Modeling Provides the First Empirical Estimates of Vital Rates and Abundance for Polar Bears in the Chukchi Sea. Scientific Reports 8:16780.