The MicroMod Data Logging Carrier Board is similar the SparkFun Logomatic to offer users a dedicated data logging board but adds the ability for you to pick a MicroMod Processor to customize it for your next data logger project.

In this tutorial, we'll check out the updated Qwiic Pro Micro and go through a few examples to get you started!

Metal detecting with a CLUE or Circuit Playground Bluefruit in CircuitPython.

The SparkFun LiPo Fuel Gauge - MAX17043 connects your LiPo battery to your project and uses a sophisticated algorithm to detect the relative state of charge and direct A/D measurement of battery voltage.

The SparkFun Audio Codec Breakout - WM8960 is a low power, high quality stereo codec with 1W Stereo Class D speaker drivers and headphone drivers.

The SparkFun Temperature Sensor - STTS22H (Qwiic) and the SparkFun Micro Temperature Sensor - STTS22H (Qwiic) are Qwiic enabled breakout boards based on the ultralow-power, high-accuracy, digital temperature sensor STTS22H from ST Microelectronics.

The SparkFun Air Quality Sensor - SGP40 (Qwiic) is a robust metal oxide (MOx) based indoor air-‎quality measurement tool using the SGP40 gas sensor from Sensirion.

The SparkFun Analog MEMS Microphone Breakout makes it easy to work with the Vesper VM2020 analog microphone. The VM2020 is an ultra-high Acoustic Overload Point (AOP), high dynamic range, differential analog output piezoelectric MEMS microphone.

The SparkFun Qwiic Dynamic NFC/RFID Tag features the ST25DV64KC dynamic Near Frequency Communication (NFC) / Radio Frequency Identification (RFID) tag IC from STMicroelectronics©.

The SparkFun GNSS Correction Data Receiver - NEO-D9S is a satellite data receiver for L-band correction broadcast. It can be configured for use with a variety of correction services including u-blox's PointPerfect satellite GNSS augmentation service.

Connect the SparkFun AzureWave Thing Plus to the cloud to grab current weather conditions in your area, post sensor data to a server, control the lights in your next home automation project, or even calculate the Fast Fourier Transform (FFT) of an input audio signal!

We've combined them and written an Arduino Library with example code demonstrating basic to advanced features to help get you started utilizing the SparkFun Pulse Oximeter and Heart Rate Monitor into your next project.