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Audio Files in Binary Format and Corresponding .wav File for Payload Data in Communication Systems
This dataset contains audio files (in both binary uint8 format and .wav) used as the payload data for a communication system simulated as part of the project titled "Stochastic Spectrum Prediction via Diffusion Probabilistic Models and Representation Learning" by Chaoyi He, Arya Menon, and Linda Katehi.
Audio files in .wav format were randomly selected from the internet sources below, trimmed to a length between 1e6 and 8e6 samples, and converted into binary unit8 format using MATLAB software. The binary files and the corresponding audio files are available for download via this dataset.
Sources for the original audio files are listed below:
https://commons.wikimedia.org/wiki/Category:Audio_files
https://dagshub.com/kinkusuma/musdb18-dataset/src/master/dataset/test
https://dagshub.com/kinkusuma/musdb18-dataset/src/master/dataset/train
https://www.signalogic.com/index.pl?page=speech_codec_wav_samples
https://voiceage.com/Audio-Samples-AMR-WB.html
https://www.uclass.psychol.ucl.ac.uk/Release2/Conversation/AudioOnly/wav/
http://www.fit.vutbr.cz/~motlicek/speech_hnm.html
http://www.openslr.org/1
SEARCH^Arctic Level 2 Geometrics 823A Cesium Magnetometer Geolocated Magnetic Anomaly Transect Data
Airborne measurements of the Earth's magnetic field can provide information on the composition and structure of Earth's crust at regional scales. We measure the field intensity with a high precision scalar magnetometer, and the fields orientation with a lower precision 3-axis fluxgate magnetometer. We subtract a model of the background magnetic field to produce magnetic anomalies profiles. Further steps (not in this product) include the removal of diurnal variations using a static base magnetometer, continuation, and leveling at crossovers. Data for this project was collected using Kenn Borek Air Basler C-GJKB from Resolute Airport in 2018, targeting the subsurface of Devon Ice Cap. This data was collected simultaneous with the radar and laser data archived at
Existential Threat Evaluation - Full Study
Raw full study data (n = 1500) from an experimental study focusing on existential threats on natural hazard threat evaluation and decision making. Experimental conditions include no mortality low severity, no mortality high severity, mortality low severity, and mortality high severity. Variables of interest include risk perception, threat evaluation, perceptions of community adaptive capacity, community attachment, and preparedness behaviors
Supplementary material: Identifying Areas of Conservation Importance Based on Spatial Patterns of Evolutionary Diversity for Non-Volant Small Mammals in the Andean Puna
Identifying Areas of Conservation Importance Based on Spatial Patterns of Evolutionary Diversity for Non-Volant Small Mammals in the Andean Pun
glyphosate NMR data for position-specific isotope analysis
Here you can find the NMR data used in this study,
along with R scripts for processing the NMR data to obtain
13C/12C isotope ratios.
The file "glyphosate_spectra_list.xls" is an excel file
containing the filenames of the NMR spectra, and a
summary of the results.
Best regards,
David W. Hoffman
Dept of Molecular Biosciences
University of Texas at Austi
2022 TDR User Survey
Data collected from the 2022 Texas Data Repository (TDR) User Survey
Assessing Soil Health in Corpus Christi
Heavy metals, organic contaminants, and soil nutrients all play a critical role in Soil Health. Here, our team assesses these factors in relation to food production systems in Corpus Christi, Texas. This is a collaborative project with the Indigenous Peoples of the Coastal Bend, Anthropocene Alliance, For the Greater Good, The Hillcrest Residents Association, Ties to La Tierra, and Keepers of the Garden
Replication Data for: Mechanisms of Ion Transport in Block Copolymeric Polymerized Ionic Liquids
Supporting data for this publication