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Beausoleil, Marc-Olivier; Carrión-Avilés, Paola; Podos, Jeffrey; Camacho, Carlos; Rabadán-González, Julio; Richard, Roxanne; Lalla, Kristen; Raeymaekers, Joost A. M.; Knutie, Sarah A.; De León, Luis F.; Chaves, Jaime A.; Clayton, Dale H.; Koop, Jennifer A. H.; Sharpe, Diana M. T.; Gotanda, Kiyoko M.; Huber, Sarah K.; Barrett, Rowan D. H.; Hendry, Andrew P. 2023-08-22 <h3>Purpose</h3> The dataset and script were developed to <ol> <li>estimate the fitness landscape for Darwin's ground finch species (<i>Geospiza</i> spp.) at El Garrapatero over 2003 to 2020, and </li> <li> use the fitness landscape to consider theoretical expectations and previous empirical assertions regarding the topology of fitness and adaptive landscapes. </li> </ol> <h3>Brief Methodology</h3> To fulfil these aims, we used the data from our long-term monitoring site El Garrapatero on Santa Cruz in the Galápagos, Ecuador. We calculated lifespan as a fitness proxi from our recapture data to construct a fitness and adaptive landscape using the beak length and depth. <h3>Data</h3> Please, download and consult the <i>README</i> text file which explains the contents of <i>adaptive.landscapes.finches.zip</i>. The <i>.zip</i> file preserves the folder structure needed to run the scripts. The main program needed for the analysis is <a href="https://cran.r-project.org">R (open-source)</a>, but to fully reproduce all the code, <a href="https://imagemagick.org/index.php">ImageMagick (open-source)</a> and <a href="https://ffmpeg.org">FFMPEG (open-source)</a> programs. <h3>References</h3> <ul> <li><a href="https://github.com/beausoleilmo/adaptive.landscapes.finches">GitHub repository of 'adaptive.landscapes.finches'</a> </li> <li>The scripts and data and for the R language (R Core Team 2023; R version, 4.2.1 (Funny-Looking Kid)). </li> </ul>