Congratulations on the amazing Humus Sapiens campaign and awesome introduction video!
@gbathree and I are building an open source application that helps communities to collect, share and visualize/interpret scientific data collected with DIY sensors.
Since most of the sensors based on Arduino & Co feature a SerialUSB / UART connection we have built a way of interfacing with pretty much any sensor over an Android phone or tablet.
You don’t need to know how to program in Java or Kotlin for that, it is enough if you know something about JavaScript / NodeJS and our goal is to make collecting data accessible for anyone with basic knowledge of programming.
The vision of the Our-Sci project is to enable communities to launch their own research and have an ecosystem of living shared and evolving research data.
Let me know if anyone is interested in a more hands-on experience, maybe we can launch a workshop.
and PM me if we should hang out soon. we still have 3 more weeks of loooads of empty space in our studio in zurich altstetten. and this weekend an event with the local DIY electronics community: http://mechatronicart.ch/
and pre-humus.sapiens activities in april in Schaffhausen.
I updated the info on the gitlab page to include all the links to the physical assets, and updated the kicad stuff as well. I think you had asked about it Marc, so here it is anyway, thanks for asking it’s good impetus for me to get things organized better.
thanks Marc for the introduction. yes I build this really stripped down version so one can plug it into the audio input of a phone. Attached is the circuit. The next step is to try to replace the battery and source the HV input via the 2V of the mic bias voltage if possible. the current circuit fits on 8x6x1cm because of the tube, HV module and battery size.
the Radmeter android software works well but I could use quite some interface improvements. unfortunately it is not open source. I am not a developer but downloaded the SDK and I am looking at the moment into how to record, analyse and visualize the audio signal. any hint into the right direction would be highly appreciated.
Awesome! I assume that the blue line is CO2-concentration? Does that Y-axis start from 0 (ppm)? I’m just wondering the enclosure time, was it a couple of minutes or more (how long does it take to get good signal)? The signal/noise ratio looks very good (but no units/time are shown), and the slight abnormal shape of the curve can be fixed with proper air mixing / shading (folio hat).
Hei Richie,
you might wanna get in contact with Matthew from “Globale Urban Forest”, he is more in the neighborhood of you than we are atm. https://globalurbanforest.com.au/
but i will continue some of this work from june onwards in Yogya.
m
I noted that it draws about 130 mA in average via 5V power supply, so long term measurements will be a bit tricky with battery. The Sensor alone draws about 60 mA in average, which is in my opinion quite high.
@teemu.lehmusruusu@erich@arvinss@hmd@Ryuoyama
We can look into this today. And just use it to save geolocations and notes on the our-sci cloud. @manuel do you have time to help making a new survey for Field_Notes Ecology of Senses?
Ping me to talk about it. Adding some dots in the sub-arctic Lapland.
Marc
