This tutorial worked pretty well for me under Docker:

https://vikunja.io/docs/docker-walkthrough/

I’ve been using vikunja that way for a month or so now.

Hmm. We do pay income tax on the money made at the other end of the commute. The excises as proposed were a very small percentage of the tax that I already pay, were I to commute by an electric car (I use a different EV, of the two wheeled kind). I’d propose that the issue here is that government revenues come from so many random sources that it’s almost impossible to balance that against an individual’s usage of any government service or utility. Should I be paying more tax because I pay child support and therefore use more of that department’s time? Should people who have kids pay more because the kids are in school?

Quick link to the study: https://doi.org/10.1038/s41586-023-05762-w

Also worth noting, as the instrument is on the ISS, it’s ground coverage will be limited to ±53 degrees or so. Much of my birth province of Alberta in Canada will escape scrutiny from this, including the oil sands projects. Hopefully a successor to this ends up in a polar orbiting mission.

Now that I’ve had a look, it’s still very preliminary and a very limited dataset. It will be interesting to keep an eye on this for further data releases.

Data data data: https://earth.jpl.nasa.gov/emit/data/data-portal/coverage-and-forecasts/

That Ground site is interesting. I wonder how I’ve managed to avoid running across it before.

Thanks for this summary. It was appreciated.

The recorded high temperature in Coatzacoalcos for June 2023 was 39C on June 11. Someone in the local paper decided to play with “feels like” numbers.

I went data hunting. The full PDF is here:

https://zenodo.org/record/6196131

Page 57 contains the southern map I was looking for. The full document contains much more information, and is less geographically limited.

Lots to read!

Revising my original post 😉

The content of the graphic is quite interesting but suffers from a few flaws that are unfortunately common in papers.

Australia looks invisible because the colour choices were likely made to highlight the routes of the high profile species in the North Pacific and Atlantic. If you look at the individual species at the bottom we’ve got a bit more of a presence there, despite a lack of tracks in our region.

Also as you pointed out they very much laid it out in such a way as to emphasize certain geographies, despite the high importance of the southern ocean to many whale species. I need to go back and see where the tagging was done, as northern whales seem to be to be over represented in the tracks. It looks like most likely in close proximity to Monterey Bay in California, if I had to guess. Admittedly if the data had come from an Australian institution, it would likely be biased to data collected here.

I’d also be very interested in seeing this same data laid out with a split northern/southern hemisphere map, from the perspective of the poles.

Lol I’m still suffering from karma induced knee-jerk deletions from <that other place>.

Oops, I committed the cardinal sin of commenting before reading the article 😅

deleted by creator