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Meelyn M Pandit, PhD. photo

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followers: 7.0 following: 18.0 repos: 53.0 gists: 1.0

Name: Meelyn M Pandit, PhD.

Type: User

Company: Cellular Tracking Technologies

Bio: Studied how anthropogenic factors like noise and climate change affect avian behavior. Currently working @cellular-tracking-technologies as a Cloud Developer.

Twitter: meelyn_pandit

Location: Cape May, NJ

Meelyn M Pandit, PhD.'s Projects

arduino-1 icon arduino-1

open-source electronics prototyping platform

aru_sound_analysis icon aru_sound_analysis

Repository with clean data files and the source code scripts to analyze the data for my third dissertation chapter. Data includes audio data and weather data downloaded from various Mesonet stations.

audiomoth-guide icon audiomoth-guide

Resources, tips, and tricks to get the most out of your AudioMoth ARUs

bird_box icon bird_box

Raspberry Pi live video streaming bird box with live text and temperature overlay

birdnet_analysis icon birdnet_analysis

R project that analyzed the number of vocalizations and species diversity of avian soundscapes in arid environments.

bluebird_pi_v1.0 icon bluebird_pi_v1.0

Raspbian image that will automatically collect video, audio, and temperature data, as well as read PIT tags.

bluebirdpi_smart_nestbox icon bluebirdpi_smart_nestbox

Python and Bash scripts to run the camera, I2S microphone, temperature probe, and RFID reader connected to an in-box Raspberry Pi Zero.

eabl_anthro_noise_analysis icon eabl_anthro_noise_analysis

Contains the R script for analyzing the effects of anthropogenic noise playbacks on MI and OK eastern bluebirds.

etag_v10 icon etag_v10

ETAG arduino code and assembly files for the ETAG RFID reader version 10.

etag_v10_eabl_playback icon etag_v10_eabl_playback

Integrating the speaker sketch and Chickadee sketch so noise turns off when certain birds enter the nest box.

etag_v10_speakers icon etag_v10_speakers

Version of the ETAG_V10 sketch that integrates OpenSmart MP3 player. Used for anthropogenic noise studies.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

heatbursts_and_behavior icon heatbursts_and_behavior

R and python scripts to analyze how the 2020 heatburst in southwest Oklahoma affected the biological soundscape

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