The Echobot—An automated system for stimulus presentation in studies of human echolocation.
datasetposted on 24.09.2019 by Carlos Tirado Aldana, Mats Nilsson
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This repository contains data and scripts related to the article “The Echobot—An automated system for stimulus presentation in studies of human echolocation” by Tirado, Lundén, & Nilsson (2019), accepted for publication in PlosONE. Please see the file List_of_files.txt for a short description of the content of each uploaded file.
(a) Rawdata are stored in *.txt files. Descriptions of variables (code-book) are included at the top of these files (lines starting with #).
(b) The R-code for analyzing the perceptual data in Figs. 5 and 6 of the article are in Echobot_analysis_script.R.
(c) R-code for the acoustic analysis are in the files a110_sound_analysis_fig3.R and a110_sound_analysis_fig4.R. Note that the script for Fig. 3 need information in file_fixed.txt and in six *.wav files. The *.wav-files are from measurement recordings (to save space, only those files relevant to Fig. 3 of the paper are included in this repository; see the file file_fixed.txt for a list of all recorded sounds, please contact the authors if you want access to these files).
(d) Files for running the Echobot and collecting responses are *.py (Python code) and *.wav (sound files played by Python for presenting the click signal, playing the masking sound and providing auditory feedback).
Echolocation training: Learning to use spatial information in sound reflections
Swedish Research CouncilFind out more...