Contributors:Verma Deepank, Jana Arnab, Ramamritham Krithi
This dataset consists of 150 Audio (10-sec duration) and 200 Image clips collected from local streets from a study area in the city of Mumbai, India. The photographs were clicked with the help of point and shoot camera while audio clips are collected with the help of Zoom H4N Pro recorder and Roland CS-10 EM binaural microphones.
The audio and image clips are collected in the mixed urbanscapes, which include scenes of high and mid-rise buildings, slum-like dense settlements, open and green streets, street markets, and empty streets.
Perception survey is conducted with the help of these clips, in which 73 (male:40, female:33, mean age = 32.11, std-dev = 6.12) respondents are sent folders containing 24 images and 18 audio clips each randomly sampled from the larger dataset. The respondents are a group of Urban planning practitioners and researchers employed in various cities in India. Each respondent viewed and heard each image and audio clip using a PC monitor and headphones and provided the ratings for each of the attributes as a Likert scale from 1 (not at all) to 7 (very much).
This dataset contains the code that were used for conducting the experimental evaluations in the paper.
Moreover, it contains the speech data used for the evaluation on synthetic data in the manuscript, i.e., to produce the results presented in Figs. 1-3.
The evaluation on real data was conducted on data from SMARD (https://www.smard.es.aau.dk/). More specifically, the signals labeled FA0309 and MD2404 in the two scenarios labelled 1011 and 1111 were considered, and, for each scenario, the two ULAs, A and B, were used for the evaluation.
Contributors:Marín Gómez Oscar Humberto, MacGregor-Fors Ian, Sosa López J. Roberto, Dáttilo Wesley, Santiago-Alarcón Diego
Suplemmentary material for the manuscript “Where has the city choir gone? Loss of the temporal structure of bird dawn choruses in urban areas”
Incidence matrices for the recorded assemblages during dawn choruses from heavily-urbanized areas and peri-urban forest. Species richness was compared through rarefaction an confidence intervals (IC84%) and composition between both studied conditions using the βsim index.
Title: dawn choruses networks data (dawn_choruses_network_data.zip).
Weighted matrices of song duration (s) for each species (columns) in each 5-min time period (rows), from peri-urban forest and heavily urbanised conditions. Negative values in time are relative to sunrise. The network patterns of dawn choruses were assessed using bipartite network analysis through modularity (QuanBiMo) and nestedness (WNODF) metrics. Null model comparisons were used to control estimate the statistical significance with z-score tests. The code are also provided in the folder.
Title: niche overlap matrices (niche_overlap_matrices.zip).
Matrices of the average peak, low and high song frequencies (kHz) by each species singing in dawn choruses at each 5-min time period, from studied dawn choruses for each survey site and within choruses. Negative values in time are relative to sunrise. The degree of spectral overlap (Czechanowski index) were calculated in EcoSimR 0.1.0 (http://ecosimr.org) contrasted the observed overlap with 1000 randomly generated assemblages using the algorithm RA3 that reshuffles row values to different categories. The code are provided in each folder.
Title: phylogenetic structure of bird assemblges recorded during dawn choruses.
Incidence matrices for the studied dawn choruses for each survey site and within choruses to calculate the mean nearest taxon distance (MNTD) using the package picante. Positive values of SES (mntd.obsz > 0 and mntd.obsp >0.95) indicate phylogenetic evenness (i.e., co-occurring species more distantly phylogenetically related than expected by chance), while negative values of SES (mntd.obsz 0.05) phylogenetic clustering. A Strict consensus tree (Newick format) of the bird community based on the 1000 trees obtained from birdtree (Ericson All Species) and de code are also included.
Example of dawn chorus at peri-urban forest, corresponding to 5 min after and before sunrise.
Example of dawn chorus at heavily-urbanized areas, corresponding to 5 min after and before sunrise.
Contributors:Rodríguez Yohanna, Ballesteros L Dora Maria, Renza Diego
This data set consists of recordings of original voice and fake voice recordings obtained by imitation [1, 2]. The voice recordings provided in this dataset can be used to train a machine learning system to classify original and fake voice recordings obtained with the imitation algorithm.
Each directory has the following composition:
Fake_audios: 50 voice recordings of fake audios obtained by imitation
Key_fake_audios: 50 keys to reverse the process and obtain the original voice recording
Original_audios: 50 original voice recordings
readme.txt: this Matlab code allows recovering the original voice recording from the fake voice recording.
 DM Ballesteros L, JM Moreno A. Highly transparent steganography model of speech signals using Efficient Wavelet Masking. Expert Systems with Applications 39 (10), 2012, 9141-9149, https://doi.org/10.1016/j.eswa.2012.02.066
 DM Ballesteros L, JM Moreno A. On the ability of adaptation of speech signals and data hiding, Expert Systems with Applications 39 (16), 2012, 12574-12579, https://doi.org/10.1016/j.eswa.2012.05.027
The dataset contains the CAD of the Duse Theatre of Bologna in two configurations of the stage. Configuration A is intended for prose and opera. Configuration B is optimised for a large symphonic orchestra using a canopy array and removing wings and curtains.
Measured IRs are available too.