dom: Animal dominance archive (2022)
Animal dominance interaction data published over a century of research. The archive contains 434 agonistic interaction datasets, totaling over 241,000 interactions. A directed edge (i,j) corresponds to an antagonist interaction between i (winner) and j (loser). If a 'weight' edge property map exists, it counts the number of such interactions.
This network has 12 nodes and 72 edges.
Tags: Social, Animal, Weighted
Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers
Minghui Qiu, Jun Chen, Lin Chen, Weifeng Chen, Shuxin Zhong, Zhidan Liu, Yu Zhang, Kaishun Wu
https://arxiv.org/abs/2605.24067 https://arxiv.org/pdf/2605.24067 https://arxiv.org/html/2605.24067
arXiv:2605.24067v1 Announce Type: new
Abstract: Most nowcasting systems, built on radar reflectivity, focus on current precipitation, ignoring the atmospheric precursors -- such as low-level convergence, turbulent eddies, and latent heating -- that offer a fleeting window to foresee storm birth. We introduce MeteoLogist, a physics-inspired radar intelligence framework that models the full life cycle of convection -- from its precursors to organized storm evolution. However, exploiting these precursors is non-trivial: they originate from multiple meteorological drivers -- thermodynamic, kinematic, and microphysical -- that evolve asynchronously (C1) and remain spatially fragmented (C2). To this end, MeteoLogist designs three tightly integrated components. The Physics-Tailored Encoders process radar echoes according to their intrinsic physical scales and semantics, forming thermodynamic, kinematic, and microphysical streams that capture distinct dynamical regimes. The Temporal-Phase Aligner addresses C1 by leveraging causal temporal attention to capture when and how different drivers interact and activate. The Cross-Field Spatial Aggregator addresses C2 through cross-regional fusion, aligning weak and scattered precursors across neighboring cells to expose upstream triggers and enforce spatial coherence. Evaluated on 3D-NEXRAD (2020--2022, US-wide), MeteoLogist boosts high-impact detection (CSI40) by 9.7% over strong baselines, and achieves a remarkable 37.67% gain during the storm-developing stage -- demonstrating true foresight in sensing storms before they appear. The code can be found in the supplementary material.
toXiv_bot_toot
at_migrations: Austrian internal migrations (2002-2022)
A network of migrations between municipalities in Austria, from 2002 to 2022. A weighted directed link from source to target indicates a migration flow from these two municipalities. Edges are annotated with migration volume (number of people), nationality, sex, and year.
This network has 2115 nodes and 2908569 edges.
Tags: Social, Economic, Travel, Weighted, Politlcal, Timestamps, Metadata
Heute vor 61 Jahren: Am 24. Juli 1965 zündeten die #USA im Rahmen von Operation Whetstone die Atombombe "Trogon". Whetstone war eine Serie von #Kernwaffentests bei der 1964/65 insgesamt 46 Bomben größtenteils im Testgebiet in
"which emojis are used the least often?" - Great question, and we rarely find data on this! But luckily, we studied this at least for two corpora with German users (and admittedly only for face emojis). So: Many object or symbol emojis (from the "tail end" of the emoji list) are very, very rarely used. Overall, faces and hearts are the most frequent. Among the face emojis, we compiled the full list of usages from a huge Twitter corpus (semi-public communication, 2014-2022) and a much small WhatsApp chat corpus (private or group communication). You can find the frequencies in this table linked below (and sort by frequency by clicking on the column). The least frequent face emoji in the large corpus was the "frowning face with open mouth" 😦, which most people have never seen before. Personally, I think it's pretty ambiguous and not very useful, as there are better emojis for anything it might express. #emojis #linguistics #WorldEmojiDay
https://tscheffler.github.io/2024-Face-Emoji-Norming/ratings.html
In 2022 I drove across Canada from Ottawa to northern BC. I remember driving for three full days around the top of Lake Superior with a wall of mostly dead trees on either side of the road the whole way, thinking, man when Ontario burns, there's going to be no stopping it. And here we are.
Via Bluesky:
Amazon-Prime-Sammelklage: Mehr als 130.000 Verbraucher im Klageregister
Mehr als 130.000 Verbraucher haben sich für die Sammelklage gegen die Prime-Preiserhöhung von 2022 angemeldet. Die Rückzahlung könnte bis zu 60 Euro betragen.
Home Heat Pumps: Barriers to Installation (2022) - A case study in the friction in specifying and installing a heat-pump in the UK, even for a savvy early adopter. #heatpump #netZero #futureReady -…
Ambassador Bridget Brink here.
Putin just unleashed a nuclear-capable ballistic missile in the heart of Ukraine’s capital, Kyiv.
This was part of one of the biggest attacks on the capital since the start of Russia’s war in 2022.
And the Russians say this is just the “beginning” of a new wave of strikes on “decision-making centers” in Kyiv.
And what has Trump or Vance or even Rubio said?
-- Nothing.
Instead, last week they extended the waiver of sanction…
Trump bricht bei „Meet the Press" (NBC) das Interview ab, als Moderatorin Kristen Welker ihn nach Belegen für seine „rigged elections"-Behauptung fragt. Seine Antwort: „Ich muss nur hinschauen." Auf ihren Einwand, das sei kein Beweis, beschimpft er NBC, ABC, CBS & CNN als „krumme Sender" und geht. Belege? Wie immer: keine. NBC stufte danach mehrere Aussagen als falsch ein. Schon 2022 lief ein NPR-Interview genauso.
faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …
Heute vor 3 Jahren: Am 14. Juni 2023 erklärte der belarussische Präsident Aleksander Lukaschenko in einem Fernsehinterview mit dem russischen Staatssender Russia-1, dass #Belarus, wie am 25.03.23 durch Putin angekündigt, #Kernwaffen von Russland erhalten habe.
"U.S. Court of Appeals for the 11th Circuit upheld a 2022 injunction against applying the law to colleges and universities"
Court issues major blow to DeSantis's "Stop WOKE Act" & calls it "a breathtaking assertion of power" - LGBTQ Nation
https://www.lgbtqnation.com/2026/07/court-issues-major-blow-to-desantiss-stop-woke-act-calls-it-a-breathtaking-assertion-of-power/
Just did very approximate calculations; with 10g of lithium per drone*, and assuming the Russian and Ukrainian drone efforts consume 5m units a year**, that'd be ~50 tons of lithium deposited into the environment per year, mostly within, let's say, 50km of the grey zone***. It's only about $20,000 / ton****, which means $1m of metal*****.
So to answer my own silly question: no, it won't be economically viable to scalp the top few inches of topsoil and extract the lithium from it.
* Roughly right for quadcopters / small FPV; larger and longer range ones will have more, so this is a bottom bound. (OTOH longer range UAVs will tend to use ICE kerosene rather than batteries
** Changing all the time as both sides try expanding production as fast as they can manage. Ua are scaling much faster at time of writing
*** Handwaving. Contact zone's hardly moved since early 2023; OTOH Ua are pushing range limits on small battery-powered form factor, saw a 60km claim for the Logistics Lockdown operation the other day
**** There was a big spike to the $70-8000 range in 2022; median price is closer to $10k than $20k
***** (IDK the chemistry but presumably it's in an exciting range of different compounds, depending on how many bits the battery was blown into, how hot / pressured the blast wave was a few tens of mm from the boom, what other stuff was in the vicinity that the lithium would combine with, etc etc.
@netzschleuder@social.skewed.de
