Concepts

Part of quality management focused on providing confidence that quality requirements will be fulfilled

Experimental design testing multiple factors simultaneously in all combinations

Statistical approach using prior distributions and likelihood functions to make probabilistic inferences about model parameters

A computational method for simulating genealogies of sampled sequences under neutral evolution

A collaborative research infrastructure where multiple institutions conduct coordinated measurements and experiments

The process of combining data from different sources to provide a unified view

Statistical method that estimates parameters by maximizing the likelihood function of observed data

Computational approach to predict how visual signals are perceived by animal visual systems

Statistical approach using prior information and measurement uncertainties to optimally estimate atmospheric properties

Safety procedures including isolation, testing, and capacity restrictions to enable field research during pandemic

Mathematical representation of color perception in birds based on stimulation of four cone types (UV/violet-sensitive, short-wave-sensitive, medium-wave-sensitive, long-wave-sensitive)

Approach where multiple distributed sensors work together to achieve better performance than individual sensors

Statistical model allowing phenotypic correlations between traits to vary continuously with environmental predictors

The practice of making research data publicly available for verification and reuse

A tool that uses paired statements about morphological characteristics to systematically identify organisms through a series of either/or choices

Statistical method to identify correlations between species traits and environmental variables

Statistical modeling approach that allows for nonlinear relationships using smooth functions while accounting for random effects structure

Sampling methods that do not require capturing or handling animals, such as hair tube traps that collect hair samples

Combining multiple sensor platforms and measurement approaches for comprehensive characterization

Research practices that allow independent researchers to reproduce results using the same methods and data

An analytical approach where deviations from an individual's average behavior or phenotype are calculated to quantify and analyze how an individual's social phenotype may change over time.

Statistical method that objectively diagnoses major modes of variability in a dataset by decomposing spatial patterns and temporal amplitudes

Statistical method for testing correlations between discrete events in time series by analyzing coincidences within specified time windows

Data should be Findable, Accessible, Interoperable, and Reusable

Matrix used to quantify uncertainty in parameter estimates by computing the inverse of the Hessian of the log-likelihood function

Experimental approach to detect circadian components in photoperiodic responses by using constant day length with varying night lengths

Open Geospatial Consortium standards for representing spatial and temporal data