RE: https://archaeo.social/@joeroe/116725979934220829
Want to know the latest on scientific archaeological dates and the samples they're derived from as linked open data? Check out the latest #XRONOS update!
In the end, we managed to avoid feature degradation in the latest #XRONOS release, aimed at mitigating abuse from bots and AI crawlers:
https://xronos.ch/news/xronos-v121-stability-curation-workflows-and-infrastructure-hardening
We'll see if these performance improvements will be enough. So far they seem to be helping, but the problem is still there.
RE: https://archaeo.social/@joeroe/116725979934220829
Want to know the latest on scientific archaeological dates and the samples they're derived from as linked open data? Check out the latest #XRONOS update!
Our annual review of research using #XRONOS in 2025:
Pythonによる XRONOS の `efold`と`efsearch` の簡易実装で学ぶ folding 解析(パルス・軌道位相サーチ)
https://qiita.com/yamadasuzaku/items/8c4e4358c781f1a8ab12?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items
I wrote a quick summary of recently published and upcoming research using #XRONOS open chronological data:
https://xronos.ch/news/research-using-xronos-in-2024
I'm very excited that 2024 was the first year in which we saw multiple published papers using the database, after we soft-launched in 2021.
Standardised taxonomic data for radiocarbon samples in XRONOS: https://xronos.ch/news/gbif-backbone-taxonomy
tl;dr: this year we started standardising the taxonomic data associated with radiocarbon samples in our chronology database #XRONOS, linking it to the @gbif Backbone Taxonomy.
This was a nice milestone for the project, since it was both our first foray into explicit #LinkedOpenData and into *cleaning* rather than just accumulating data – which is definitely the harder part!