Python package for harvesting records from OAI-PMH provider(s).

This repository hosts a project that enables efficient YouTube data extraction, storage, and analysis. It leverages SQL, MongoDB, and Streamlit to develop a user-friendly application for collecting and visualizing data from YouTube channels.

Reads the change flow of Wikipedia and output DOI, ISBN, etc. identifiers as they are found

repository for a question corpus for the biodiversity domain, scripts for analyzing metadata in data repositories

[ Extract information on a specific YouTube channel by using the youtube id, and analyse data depending on a set of questions from the user. ] | YouTube Id | Python | Pandas | Numpy | Mongodb | MySQL | Streamlit | Plotly |

A utility to harvest content from researcher activity aggregated by SHARE

Updated version, Jan. 2024. Each folder has a how-to file for information.

Python framework for evaluating power management algorithms for energy harvesting devices

Your primary and back-up servers failed? The Wayback Machine may still hold a snapshot of the archive? This script systematically treats archived HTML as a compromised database to reconstruct the full metadata tree and retrieve media files.

web-scrape-playlist

CKAN Extension for Open Government Data Austria customization

Python scripting, data collection, MongoDB, Streamlit, API integration, and data management with SQL and MongoDB are the main areas of interest for this project. The project's objective is to create a Streamlit application that enables users to view and examine data from different YouTube channels.

my appium sandbox

This project represents a novel approach to renewable energy, inspired by fundamental principles of energy oscillations and resonance. By developing this prototype, we aim to validate the feasibility of a vibration and resonance-based wind energy system, opening new doors for sustainable energy solutions.