river-runner
tatoeba2
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river-runner | tatoeba2 | |
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71 | 46 | |
373 | 659 | |
- | 3.0% | |
7.9 | 0.0 | |
11 days ago | 11 days ago | |
Svelte | PHP | |
GNU General Public License v3.0 only | GNU Affero General Public License v3.0 |
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river-runner
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Heavily contaminated water in East Palestine, Ohio.
The data used in this project comes from the USGS's NLDI API, along with additional NHDPlus data. Code and data for this project lives here.
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Collection of really good websites
Amazing articles -- http://worrydream.com/ how technology works -- https://ciechanow.ski/ Explore scale of the Universe -- https://joshworth.com/dev/pixelspace/pixelspace_solarsystem.html Find best sites on Internet -- https://cloudhiker.net/ Click on map to trace a drop of rain and where it will go to -- https://river-runner-global.samlearner.com/ Track wind movement around the world -- https://www.windy.com/?27.714,85.314,4 Website of Nintendo people -- https://y-n10.com/ Everything about shoelaces -- https://www.fieggen.com/shoelace/ See satellite that is going to come near you -- https://james.darpinian.com/satellites/#
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Ask HN: What's the coolest website you know?
I love this:
https://river-runner-global.samlearner.com/
Click on any spot on Earth and see where a raindrop there will flow until it reaches an ocean.
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Oilslick – an elevation map showing fine detail in terrain
If you didn’t see it a few weeks ago this was submitted to HN:
https://river-runner-global.samlearner.com/
“Drop a raindrop anywhere in the world and watch where it ends up”
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Drop a raindrop anywhere in the world and watch where it ends up
Hey everyone, glad you all are enjoying the project!
To address some of the points I'm seeing, it's not perfect right now, which is why we've considered this a beta release. In particular, there are some issues around name coverage abroad and around engineered features (dams, canals, etc.). A lot of known issues are documented at the top of this page: https://ksonda.github.io/global-river-runner/. Ultimately, we made as much progress as we could, including a lot of manual name suggestions before launching, and decided to publish the tool in beta, with an understanding that we'd take suggestions and otherwise work to improve the tool/data over time.
To the points about the distance the paths are starting from a click, it does round coordinates to some extent. As much as I'd like to be more exact, we're stuck with a limited number of "flowlines" in our dataset and it will look for the closest one, which isn't always as close as we'd like. It's most useful for understanding watersheds in broad strokes, but often falls a little short when it comes to the novelty of literally tracing from your address.
For both specificity and some of the canal issues, the US-only version of this tool is better than this one (https://river-runner.samlearner.com/) with the obvious limitation that the paths are only within the US.
If you have any issues/feedback/suggestions regarding the UI and have a minute, would really appreciate if you're able to submit them as issues in the project repo on Github: https://github.com/sdl60660/river-runner If you're experiencing routing/naming issues, you can submit issues in this repo: https://github.com/ksonda/global-river-runner
Again, thanks for giving the project a look! You can check out some of my other work here: https://www.samlearner.com/ or on my Github (https://github.com/sdl60660).
I'd also like to shout out other other people who worked to make this happen: Dave Blodgett (https://github.com/dblodgett-usgs), Kyle Onda (https://github.com/ksonda), and Ben Webb (https://github.com/webb-ben).
Hey! So the solution I've got in place was actually kind of a compromise solution originally. I had it jump right in at first and people asked to disable autoplay, so I tried completely shutting it off and a lot of people missed that you could run the path altogether. Settled on this 5 second timer, but I think some kind of option to disable it is a good idea. I'll work on adding that in. If you'd like, you can submit it that or other suggestions as an issue here: https://github.com/sdl60660/river-runner
Seems about right, dropped a drop near me and it followed the path I expected.
Quite a trip to the great australian bight from northern New south wales.
https://river-runner-global.samlearner.com/?lng=151.75636629...
Very nice tool! However, I think it is not always correct. For example, lake Trasimeno, in Italy, is endorheic (or maybe cryptorheic), but seems to discharge into river Arno from this website: https://river-runner-global.samlearner.com/?lng=12.098864773....
I am pretty sure that path is not possible: it seems that the water would flow out of Trasimeno through the Anguillara torrent, but according to the Italian Wikipedia the torrent flows into the Trasimeno (https://it.wikipedia.org/wiki/Anguillara_(torrente)). According to the English Wikipedia it might be that Trasimeno has an outflowing canal, but that should flow into river Tevere (https://en.wikipedia.org/wiki/Lake_Trasimeno), so their data is wrong anyway.
tatoeba2
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Best vocab (not writing) app
I use both. I make a lot of my own cards so I get to focus on the vocab I want. Generally find a word I want to learn, use https://forvo.com/ to find native audio for it, then use https://tatoeba.org/ to find sentences use that word. Once you get a bit of practise it's pretty quick to make a word note, then make 2 or 3 sentence notes for it*. However I do use some pre-made decks like this set of sentence decks for each HSK level with native audio: https://ankiweb.net/shared/byauthor/933449107
- How do I get audio data from from native speakers for Anki?
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anyone know a site like Reverso but for simpler sentences?
As someone else suggested, Tatoeba is also a good option. Nowadays, I use it less and less because I prefer the more didactic sentences found on online dictionaries. Nonetheless, it's still very good, especially due to the sheer quantity of sentences you can find there.
Have you taken a look at Tatoeba? The sentences are generally simpler than on Reverso. Plus, you can create lists that can be exported to apps like Anki.
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Cantonese vocabulary visualization and example sentences
To build the tool, I analyzed sentences in the HKCanCor corpus and from Tatoeba to find the most common words. I then created a graph structure where each character is a node and the words are edges. The definitions came from CC-Canto and CEDICT.
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Where to find examples of phrases or sentence structures?
Hidden in the little vertical dot menu is a green "show example sentences in Tatoeba". You can of course also just go to Tatoeba and search for phrases too: https://tatoeba.org/
Not sure this answers 100%, but there is a sentences database (also providing translations in various languages): https://tatoeba.org/
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How did your Anki vocabulary memorization pan out when you finally went to a foreign country?
For now I've just been doing it manually - however https://tatoeba.org does have a handy set of pre-compile zip of all their sentences you can mess with. Checkout this link: https://tatoeba.org/en/downloads
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[A2/B1] Clozemaster.com is quite good for Finnish, and will get you into especially good shape to read Finnish subtitles, IMO.
The database they base the sentences from is https://tatoeba.org/. They do quality some checks, but I have no idea how many and how often.
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Hey Reddit. What is the coolest website you’ve visited that might not be known to everyone?
Tatoeba - Open collaborative multilingual sentence dictionary; instead of translations of individual words, it's a corpus of full sentences translated between many languages
What are some alternatives?
mkdocs-material - Documentation that simply works
riju - ⚡ Extremely fast online playground for every programming language.
svelte-mapbox - MapBox Map and Autocomplete components for Svelte (or Vanilla JS)
OpenHD - OpenHD
react-native-everywhere
this-word-does-not-exist - This Word Does Not Exist
SICL - A fresh implementation of Common Lisp
gutensearch - Search engine for Project Gutenberg books
100r.co - Official Website
c2 - A basic c2 / agent.
git-auf-deutsch - Git auf deutsch
useful-custom-react-hooks