DOI: 10.6084/m9.figshare.7801334.v2
title: Data

description: Contains 4 folders:<b>1. america_sin_islas</b>Shapefile of america, used to crop environmental layer (bioclimatic and PCs).<b>2. environmental</b>2.1<b> bio_10m_bil (folfer)</b>: Bioclimatic layers at 10 arcminutes <br>2.2 <b>ntbox_envLayers</b> -&gt; <b>CMIP5_rcp85_y50__bio_10 (folders)</b>: Bioclimatic layers at 10 arcminutes for representative concentration pathway 8.5 for the CCSM4 general circulation model.2.3<b> PCA_future:</b><br>A folder with the projected Principal Components (PCs) layers of the bioclimatic variables of WorldClim (without bio 8, 9, 18, and 19). The layers that were used to project the PCs were the ones for the representative concentration pathway 8.5 for the CCSM4 general circulation model available from (Hijmans et al. 2005a).<br>2.4 <b>PCA_present:</b>A folder withPrincipal Components (PCs) layers of the of the bioclimatic variables of WorldClim (without bio 8, 9, 18, and 19). It also has the scree plot of the variance explained variance by each component.<br><b>3. filtered_data: </b><br><i>3.1. </i><i>all_sps_environmental_test_data.csv</i>: A dataset representing georeferenced data used to test the niche-centroid distance's models; it has 21 variables "folder": Folder which the occurrence and abundance data for a species"Species": Species ID"Latitud": Decimal latitude"Longitud": Decimal longitude"n_train": number of data used to train the models"PC1": Value for the 1 Principal Component as extracted from Principal Components Raster Layers"PC10": Value for the 10 Principal Component as extracted from Principal Components Raster Layers"PC11": Value for the 11 Principal Component as extracted from Principal Components Raster Layers"PC12": Value for the 12 Principal Component as extracted from Principal Components Raster Layers"PC13": Value for the 13 Principal Component as extracted from Principal Components Raster Layers"PC14": Value for the 14 Principal Component as extracted from Principal Components Raster Layers"PC15": Value for the 15 Principal Component as extracted from Principal Components Raster Layers"PC2": Value for the 2 Principal Component as extracted from Principal Components Raster Layers"PC3": Value for the 3 Principal Component as extracted from Principal Components Raster Layers"PC4": Value for the 4 Principal Component as extracted from Principal Components Raster Layers"PC5": Value for the 5 Principal Component as extracted from Principal Components Raster Layers"PC6": Value for the 6 Principal Component as extracted from Principal Components Raster Layers"PC7": Value for the 7 Principal Component as extracted from Principal Components Raster Layers"PC8": Value for the 8 Principal Component as extracted from Principal Components Raster Layers"PC9": Value for the 9 Principal Component as extracted from Principal Components Raster Layers."bio1": Value for the bio1 Raster Layer"bio10": Value for the bio10 Raster Layer<br>"bio11": Value for the bio11 Raster Layer<br>"bio12": Value for the bio12 Raster Layer<br>"bio13 Value for the bio13 Raster Layer<br>"bio14": Value for the bio14 Raster Layer<br>"bio15": Value for the bio15 Raster Layer<br>"bio16": Value for the bio16 Raster Layer<br>"bio17": Value for the bio17 Raster Layer<br>"bio18": Value for the bio18 Raster Layer<br>"bio19": Value for the bio19 Raster Layer<br>"bio2": Value for the bio2 Raster Layer<br>"bio3": Value for the bio3 Raster Layer<br>"bio4": Value for the bio4 Raster Layer<br>"bio5": Value for the bio5 Raster Layer"bio6": Value for the bio6 Raster Layer<br>"bio7": Value for the bio7 Raster Layer<br>"bio8": Value for the bio8 Raster Layer<br>"bio9": Value for the bio9 Raster Layer<br><br><br><i>2. all_sps_environmental_train_data.csv: </i> A dataset representing georeferenced data used to train the niche-centroid distance's models<br><i>3. </i><i>sps_traits_CleanAllInclude.csv: </i>Dataset with 10 variables representing bird species traits <br>"folder": Folder with the occurrence and abundance data for a species,"Species": Species ID"SciName": Scientific name"n_train": Number of data points to train the niche-centroid distance models."n_abundance": Number of abundance points to test the relationship between population abundance and niche-centroid distance."Include": Does the species was included in the analysis "Aquatic": Is it aquatic"Migratory": Is it migratory"BodyMass": Body Mass"PercentBBS": Percent of the distribution sampled in the Bird Breathing Survive.<br><b>4. n_am</b><br>A shapefile of North America. It was used to reproduce figure 4