Implementation for some use-cases of the Data Foundry and some other ways for collecting data with the Data Foundry via the OOCSI service
Get humidity and temperature periodically with DHT11 module and receive notifications from the TelegramBot of the Data Foundry
References:
Get light data for the environment and send to the Data Foundry via OOCSI upload stream with ESP32, ESP8266, or Arduino Nano 33 IoT, and observing the data with received information from download OOCSI stream
References:
Want to communicate with OOCSI and Data Foundry in MicroPython with ESP32?
Reference:
An alternative way to upload data to the Data Foundry via OOCSI with non-WiFi boards. In this case, the Arduino part will send (print) the sensor data to the serial port it's using, and the Processing part will read the data from the serial port with processing.serial library, then the data will be sent to the Data Foundry via OOCSI in Processing.
Reference: Teensy 3.2 / Arduino UNO with Processing (Github)
Sample code to demostrate sending / receiving interaction data to / from the Data Foundry by Processing app via OOCSI service
Reference: Collect data with Processing via OOCSI service (Github)
Steps for hosting web pages with a Complete dataset of Data Foundry
Reference: Hosting web pages (Github)
Steps to configure the Apple Health app to share the data with Google Fit (and other apps)
Reference: Apple Health to Google Fit (Github)
Collect data with a chat bot of Telegram via Script dataset
Reference:
Collect data with online questionnaire by Form dataset in Markdown language
Reference: Questionnaire Form (Github)
Access data in Entity dataset by operating data from OOCSI with script
Reference: Script for passing IoT data to Entity dataset (Github)