#environmentaldatascience
Live, measured metrics for the hashtag #environmentaldatascience from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #environmentaldatascience
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 12:29 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 12:29 UTCNo related tags with measured usage found for #environmentaldatascience.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 12:29 UTCEverything below is measured over the latest 5 public posts (spanning ~23147 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 0.8
Top of the latest posts
🌳 Random Forests and Living Trees English translation of my earlier article on applying satellite imagery and machine learning to map urban land cover. What started as a local research project in Kryvyi Rih turned into something much large
It's always a good day in my #EnvironmentalDataScience group when we run into things like - the data product we want to share is too big for our standard data repository so we have use better compression to make it fit. "Setting zip to -9 c
🔥 Dear colleagues! I present to you the new version (0.80) of my monograph dedicated to the hydrogeochemical (thermodynamic) modeling of the contamination plume around the storage pond in the Svystunova Gully (in Ukrainian). I have signifi
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/environmentaldatascience