Hello🙏@martin
I’m sorry, I can’t join.
Hello🙏@martin
I’m sorry, I can’t join.
So disappointed I missed the meeting! I saw a message yesterday that it was at 10 am PST but it looks like it took place at 9 am. I’m interesting in participating. I’ll find the recording of the meeting and check it out as well.
We are actually meeting now at 10AM Pacific! https://meet.google.com/yio-smop-bsz
There is a time zone issue with the calendar, sorry!
Thanks so much! I just joined ![]()
One of many sources in the open literature. Feel free to reach out to Livio and me with questions.
GCR/SAA separation is useful more for retrospective dosimetry vs prediction, but an AI-based prediction tool developed and tested on the extensive low Earth orbit data could potentially be used to address a critical issue for human exploration beyond low Earth orbit: an early warning system for solar particle events, using data from instruments in heliocentric orbit.
Thank you all for attending the meeting, and thanks to those who couldn’t join for letting us know.
Here is the first organizational item for the project.
I am sharing the project “phonebook”, which should gradually contain all project-related resources.
https://docs.google.com/document/d/1Faiq4lZarZ6_XKOEprOfBbB4o3K7gny8usn63r2KcJ4/edit?usp=sharing
I kindly ask you to fill it in. Please leave the Role column empty for now.
In particular, I would like to encourage potential project managers not to delay filling it out.
Thank you,
Martin
The deadline is the end of the year.
Hello, I am unable to attend due to school timings.
Hello, I was unable to attend due to school timings
Hi all,
I hope you are enjoying the holidays and not overeating too much ![]()
For those who have some time and are eager to see the data before it appears in RadLab, I have prepared a data subset from one mission. You can find it on Google Drive here:
The folder also includes a Python notebook for Google Colab that visualizes the data.
If you carry out any analysis or notice something interesting, please feel free to share it here.
Wishing you a nice remainder of the holidays and a smooth start to the new calendar year.
Martin
Excellent, thank you for the information. I will review the data. Have a nice day. Greetings from Santa Marta, Magdalena, Colombia.
Brainwriting for ML Tools selection
Dear collaborators,
We are still waiting for the data to be published in the official NASA database. I suggest that we don’t wait and start working with the reduced dataset. The advantage of this approach is that our experiments will be faster and require less computational power.
At the beginning, we need to agree on the tools we will use. Please submit your proposals by February 14, 2026, in the form of brainwriting:
In this phase, please only add proposals and do not evaluate others’ suggestions!
Thank you,
Martin
Dear Martin,
I am writing to express my strong interest in collaborating on your ISS dosimetry project. As a developer with a few years of experience in both electronic engineering and software development, I find the analysis of radiation field evolution—especially during SAA passes—highly compelling.
My background in designing flight computers and digital electronics provides me with a deep understanding of how sensor data is captured at the hardware level. I am eager to apply my Python-driven Data Science and Machine Learning skills to process and analyze your ISS datasets. I can contribute to both the high-level algorithmic development and, if necessary, the low-level data calibration tasks.
I have reviewed your presentation and would welcome the opportunity to discuss how my technical background in scientific computing can support your research.
Looking forward to your thoughts.
Best regards, Eren
Dear @Eren_Karaokur, please add yourself to this list:
https://docs.google.com/document/d/1Faiq4lZarZ6_XKOEprOfBbB4o3K7gny8usn63r2KcJ4/edit?usp=sharing
This applies to everyone who wants to join our project.
Thank you for the quick response. I have added my details to the document like you asked.
I am looking forward to the next steps and am ready to contribute to the data analysis or any technical tasks you have in mind. Please let me know if there are any specific datasets or initial tasks I should review in the meantime.
Hooray!
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SPACEDOS data are now published in the RadLab database.
https://visualization.osdr.nasa.gov/radlab/gui/leo/iss/
Can I ask what the research outcome of space dosimetry measurement analysis is?