*.csv

The data presented here was acquired using a testbed for biocompatible molecular communication based on magnetic nanoparticles. The folders correspond to the variety of channel parameters that were investigated and two additional data transmission samples. Details regarding the testbed setup can be found in the accompanying publication.

A feature extraction algorithm for texture detection oriented to its implementation on embedded electronics based on a Field-Programmable Gate Array (FPGA) is proposed in this paper.

The data is collected in the form of csv file containing three attributes of X, Y, Z which represents the three coordinates of the graph x, y and z. The csv file is collected from the three signals generated by using a mobile app G sensor logger available publicly from google playstore. The data is generated for the first five Telugu language characters. The data is stored in the form of five folders where each folder represents the respective Telugu character. This dataset can be used for evaluating machine learning algorithms.

The dataset contains information on the demand for milk in liters for a milk society over a certain period of time. The data is organized based on the week number and year number, providing a time-series view of the milk demand. The purpose of the dataset may be to analyze trends in milk demand over time, identify seasonal patterns, or inform production and distribution decisions for the milk society. Further analysis and exploration of the dataset can provide valuable insights into the milk industry and consumer behavior related to milk consumption