The Design Aesthetic Database includes two types of datasets:

1. Handcrafted features datasets:

Electronic Home Applicants Design Award-handcrafted features.csv

Electric Tools Design Award-handcrafted features.csv

Electronic Home Applicants Design Award-handcrafted features.csv and Electric Tools Design Award-handcrafted features.csv are the datasets of handcrafted features extracted from the design layout images. Local Binary Pattern (64 dimensions), Color Histogram (256 dimensions), and Hue Saturation Value (256 dimensions) features were extracted to form the datasets. A total of 576 dimensions of image features were extracted to form each dataset.

2. Features extracted by RESNET-50:

Electronic Home Applicants Design Award-RESNET.csv

Electric Tools Design Award-RESNET.csv

Electronic Home Applicants Design Award-RESNET.csv and Electric Tools Design Award-RESNET.csv are the datasets of features extracted by RESNET-50. A total of 25,088 dimensions of image features were extracted to form each dataset.

Design Aesthetic Database can be found via:

https://pan.baidu.com/s/1ufUBcnDV-z65blvAe-6CDg

The dataset file (CSV) includes all the variables used in the study by Santangeli et al. titled What drives our aesthetic attraction to birds published in The dataset file (CSV) includes all the variables used in the study by Santangeli et al. titled What drives our aesthetic attraction to birds? published in 2023 in NPJ Biodiversity (DOI : 10.1038/s44185-023-00026-2).The dataset (file named: "monsterALL2_2_2023.csv") is structured so as to have one or two rows per species, depending if the species is sex dichromatic or not. This structure is dictated and adjusted by the availablility of the species by sex aesthetic attractiveness score.Sex monochromatic species have only one attractiveness score, and appear as only one row in the database. Sex dichromatic species may have up to two available attractiveness scores, one for eaither sex (male or female), and therefore may have up to two rows in the database, if attractiveness for both sexes is available.In terms of the variables, the dataset includes taxonomy related variables, such as the species latin name, family and order level information, as well as sex, with three classes: male, female or average (for the monochromatic species).Attractiveness is given with two variables, including the average attractiveness score by species and sex, and the standard deviation associated to that score as a measure of uncertainty.These are followed by a selection of AVONET (https://figshare.com/articles/dataset/AVONET_morphological_ecological_and_geographical_data_for_all_birds_Tobias_et_al_2021_Ecology_Letters_/16586228/1) bird traits, such as morphometric measurements (e.g. beak and tarsus length), as well as data on the habitat, migration ecology and trophic level of each species.Then the color related variables are presented, including the plain colors (such as blue and green) separately for their dark and light version (e.g. blueD and blueL, respectively), as well as other variables representing color diversity (n.loci), color elaboration (elaboration), sex dichromatism score. Other variables following are the length of the crest (crest), IUCN red list category and population trend, as well as biogeographical variables related to the species range (e.g. range size). The last column (BirdTREE) represents the bird species taxonomy matching the BirdTREE taxonomy (available at: https://birdtree.org/).The script file (Santangeli et al Attractivness_final_script) includes all the documented steps to reproduce the analyses, which also require custom made functions available in the file "Functions".

Geoheritage is a generic term which lies at the intersection of science, society, and sustainability and is applied to significant geologic features and landforms that have scientific, educational, cultural, economic, and aesthetic value. Many geologic sites have enriched society through the geoheritage values: scientific research and education, cultural significance, economic opportunities, and aesthetic appeal. The Geoheritage Sites of the Nation geodatabase (GDB) provides an initial inventory of geoheritage sites to showcase the geodiversity and natural heritage throughout the United States (U.S.) and its territories. Sites included in this inventory were selected from compiled geosite references of in situ geologic features that have been previously identified as geologic points of interest on Federal land designations, U.S. National Park Service Geoheritage Site Examples on Public Lands, Unofficial National Register of Geoheritage Sites, stratotype inventory, National Natural Landmarks, Bureau of Land Management National Conservation Areas, U.S. Forest Service Geologic Features of our National Forests and Grasslands, and the International Union for Geological Sciences First 100 Geological Heritage Sites. For this initial inventory, one geoheritage site on Federal public lands within each U.S. state and territory were selected to provide a geographically distributed dataset that highlights the geodiversity of the nation (n=55). Sites were further characterized by the scientific significance of the geologic phenomena, educational opportunity for both formal and informal learning, cultural connections to the landscape, historic and present-day examples of economic opportunities, and the aesthetic features within our Federal public lands. The GDB also includes direct linkages to the USGS National Geologic Map Database to allow users to discover spatially related geologic mapping publications and information products within the expansive database. Connecting geoheritage values to scientifically significant geologic features can inspire the public to better understand the landforms and their related geologic processes to foster a deeper understanding of the role geology plays in society.