The minimum requirement of having a data repository - aeonSolutions/AeonLabs-Safety-Health GitHub Wiki
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Last update: 11-09-2024
Real-time data refers to information that is collected and processed immediately as events happen. It's dynamic and constantly updated, providing the most current snapshot of a situation. For example, data from stock markets, weather updates, or traffic reports all come in real-time, allowing users to make decisions based on the latest available information. Because of its immediate nature, real-time data is often essential for time-sensitive applications where quick reactions are crucial.
In contrast, past historical data represents information that was collected and recorded at earlier points in time. This data does not change once captured and is typically used for analysis, trend recognition, or predictive modeling. Historical data helps in understanding patterns and making informed decisions based on what has happened over time. It’s valuable for long-term planning and learning from past events but lacks the immediacy of real-time information. Source: chatGPT.com
For more than one decade I've been using Facebook, not as a "social showcase" platform but instead as a "log book", a digital database where I record in a timeline format fragments of data from my daily life, without any access restriction, for being public in its nature, without privacy, and more importantly due to its severity or harmful nature, harmful events that otherwise go noticed due to its instantaneous and short duration in time. This type of usage of the internet enables a citizen to build and to have his\her own personal repository of intraday events of his or her life to serve as many purposes as needed throughout life....
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Known open data repositories partially compatible with these smart devices:
- www.dataverse.org [partial compatible] (open firmware provided here uses a dataverse repository API)
- www.figshare.com [partial compatible]
- www.datadryad.org [not compatible; no API]
Cloud Host | API | Open Source |
---|---|---|
Zenodo | ReST | Yes |
OSF | Yes | Yes |
Harvard's Dataverse | Yes | Yes |
DRYAD | No | No |
Mendeley | Yes | No |
Data in Brief: | No | No |
Scientific Data | No | No |
GitHub | Yes | Yes* |
On this repository, there's a special folder, named datasets, where anyone is able to upload dataset files directly from their open smart devices. This folder is intended to facilitate sharing of "electromagnetic" measurements among anyone with interest and capable of studying and analyzing it in search of EM anomalies to improve detection of the open hardware electronics made available here. Anyone is invited to participate, cost-free.
To assist you with the firmware programming, there's a C++ test code compatible with all Arduino devices that anyone can use to speed up the programming of the open smart device. Here's the link:
https://github.com/aeonSolutions/Aeonlabs-Arduino_Hardware_Test_Code/tree/main/github_api_test_upload
Any questions on how to do it, send me a message on the Discord Server:
See on Adafruit.IO the EMF & EMP measurements being made with a test device