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Remove Artifact and Update GitHub Action Badge for GitHub Pages Deployment
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{"cache_date": "2023-05-18", "page_authors": {"docs/index.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/configuration.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/contribute.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/example_aws.md": {"last_commit_date": "2023-05-18", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/example_azure.md": {"last_commit_date": "2023-05-18", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/example_http.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/example_mqtt.md": {"last_commit_date": "2023-05-18", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/example_thingspeak.md": {"last_commit_date": "2023-05-18", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/example_timestamp.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/factory_reset.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/file_issue.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/hard_copy.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/hardware_hookup.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/hardware_overview.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/introduction.md": {"last_commit_date": "2023-05-18", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/prepare_your_microsd_card.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/resources.md": {"last_commit_date": "2023-05-18", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/single_page.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/supported_devices.md": {"last_commit_date": "2023-05-18", "authors": [{"login": "gigapod", "name": "gigapod", "url": "https://github.com/gigapod", "avatar": "https://avatars.githubusercontent.com/u/13841301"}]}, "docs/troubleshooting.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/updating_firmware.md": {"last_commit_date": "2023-05-18", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/wifi_network.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}, "docs/javascript/README.md": {"last_commit_date": "2023-05-17", "authors": [{"login": "bboyho", "name": "bboyho", "url": "https://github.com/bboyho", "avatar": "https://avatars.githubusercontent.com/u/3209977"}]}}}

README.md

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<img src="https://img.shields.io/twitter/follow/sparkfun.svg?style=social&logo=twitter"
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alt="follow on Twitter"></a>
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<a href="https://github.com/sparkfun/SparkFun_DataLogger/actions" alt="Actions">
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<img src="https://github.com/sparkfun/SparkFun_DataLogger/actions/workflows/pages/pages-build-deployment/badge.svg" /></a>
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<img src="https://github.com/sparkfun/SparkFun_DataLogger/actions/workflows/pages/pages-build-deployment/badge.svg?branch=gh-pages" /></a>
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</p>
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This repository contains the latest firmware for the SparkFun DataLogger IoT products. The DataLogger IoT product line are pre-programmed to automatically log data from 50+ SparkFun [qwiic](https://www.sparkfun.com/qwiic) sensors, all without requiring any hardware setup or code development. Just plug in a qwiic board and log data. The DataLogger IoT automatically detects the connected sensor, configures the device and enables logging information locally, or to a variety of IoT data services.
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The current list of SparkFun boards supported by the SparkFun DataLogger IoT are listed in the [DataLogger Supported Device List](docs/supported_devices.md).
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The current list of SparkFun boards supported by the SparkFun DataLogger IoT are listed in the [DataLogger Supported Device List](docs/supported_devices.md).
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SparkFun DataLogger IoT products include internet connectivity built it, and includes connections for a variety of IoT service services and end-point types. Connection types include MQTT, HTTP, AWS IoT, Azure IoT, and Thingspeak. To enable connectivity, connect the DataLogger IoT to a WiFi network, enter the required credentials for the specific IoT service being used, and the DataLogger IoT will do the rest - no programming required.
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The DataLogger IoT products are highly configurable via an easily to use serial interface. Simply plug in a USB C cable and open a terminal at 115200 Kbps. By default the logging output is automatically streamed to the serial terminal - pressing any key will bring up the menu system. Device settings are also configurable via a JSON file contained on an inserted SD card - enabling rapid configuration for multiple devices.
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The DataLogger IoT products are highly configurable via an easily to use serial interface. Simply plug in a USB C cable and open a terminal at 115200 Kbps. By default the logging output is automatically streamed to the serial terminal - pressing any key will bring up the menu system. Device settings are also configurable via a JSON file contained on an inserted SD card - enabling rapid configuration for multiple devices.
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Configuration details are outlined in [DataLogger IoT Documentation](https://docs.sparkfun.com/SparkFun_DataLogger/introduction/).
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## Firmware Updates
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This repository contains the latest firmware for the DataLogger IoT products. The firmware is installed on a DataLogger IoT board using the built in `over-the-air` update functionality if the board is connected to the internet, or by loading the firmware off an SD card installed on the DataLogger IoT device.
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This repository contains the latest firmware for the DataLogger IoT products. The firmware is installed on a DataLogger IoT board using the built in `over-the-air` update functionality if the board is connected to the internet, or by loading the firmware off an SD card installed on the DataLogger IoT device.
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Instructions on updating the DataLogger firmware are detailed [here](https://docs.sparkfun.com/SparkFun_DataLogger/configuration/#advanced-system-update).
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### Latest Release
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Details on the latest Firmware release are listed on the [Release Page](https://github.com/sparkfun/SparkFun_DataLogger/releases)
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Details on the latest Firmware release are listed on the [Release Page](https://github.com/sparkfun/SparkFun_DataLogger/releases)

docs/introduction.md

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!!! warning "Battery Polarity"
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Please make sure that you use one of our recommended Lithium Ion batteries. Some batteries use the same JST connector as ours but have the [opposite polarity](https://learn.sparkfun.com/tutorials/polarity/all#other-polarized-components). Connecting one of these to your OLA will destroy it. If you are going to use your own battery, it is up to you to ensure it has the correct polarity.
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Please make sure that you use one of our recommended Lithium Ion batteries. Some batteries use the same JST connector as ours but have the [opposite polarity](https://learn.sparkfun.com/tutorials/polarity/all#other-polarized-components). Connecting one of these to your DataLogger IoT will destroy it. If you are going to use your own battery, it is up to you to ensure it has the correct polarity.
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To follow along with this tutorial, you will need the following materials. You may not need everything though depending on what you have. Add it to your cart, read through the guide, and adjust the cart as necessary.
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Straight out of the ~~box~~ anti-static bag the DataLogger IoT [DEV-20594] is ready to log data from its built-in ISM330DHCX Inertial Measurement Unit (IMU) and MMC5983MA Magnetometer. Only want to log magnetometer, accelerometer, gyro or temperature data? You’re good to go! But the fun is only just beginning…
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The DataLogger IoT - 9DoF is preprogrammed to automatically log data from all of the following sensors, so you may wish to add one or more of these to your shopping cart too. (More sensors are being added all the time and it is really easy to upgrade the OLA to support them. But we'll get to that in a moment!). Currently, auto-detection is supported on the following Qwiic-enabled products:
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The DataLogger IoT - 9DoF is preprogrammed to automatically log data from all of the following sensors, so you may wish to add one or more of these to your shopping cart too. (More sensors are being added all the time and it is really easy to upgrade the DataLogger IoT to support them. But we'll get to that in a moment!). Currently, auto-detection is supported on the following Qwiic-enabled products:
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* Any u-Blox GNSS Modules (Lat/Long, Altitude, Velocity, SIV, Time, Date) such as:
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* [ZED-F9P](https://www.sparkfun.com/products/15136) 1cm High Precision GPS

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