I'll post some #data #visualization #dataviz for each team pairs before the playoffs start. First, we'll start with the eastern conference. Atlantic, we'll first have the battle of #Ontario with #Toronto #MapleLeafs vs #Ottawa #Senators. These are rolling 5 days #metrics for each team, allowing for easy comparison. #hnom #stanleycup #nhl #hockey

Follow the link for a fully interactive plot:
https://sports.dionresearch.com/nhl/TOR/rolling_metrics_vs_OTT.l.html

Interactive line plot fir various metrics, paired for Toronto and Ottawa. Since the 4 nations faceoff, Toronto and Ottawa have been closer than you'd expect. Ottawa's PP and PK have been edging Toronto lately. Ottawa taking less penalties, but I suspect this will change when the puck hits the ice for the playoffs.

**raspbeguy** @raspbeguy@gugod.fr · Apr 11

Apr 11

raspbeguy @raspbeguy@gugod.fr

I recently discovered that diagnostic plugs in cars were more or less standard (OBD2) and that you could buy a plug reader for like 30 bucks. I also discovered that some OBD2 prometheus exporters exist.

So now basically my new project is to have a server in my car, like a RPi. It would srcap the OBD2 data locally and backfill it into my home prometheus database whenever the car gets into my home wifi range.

#tinkering #obd2 #prometheus #metrics #car

**Greg Cocks** @GregCocks@techhub.social · Apr 8

Apr 8

Greg Cocks @GregCocks@techhub.social

Landscape Metrics - “R As GIS” Course
--
https://jakubnowosad.com/rgis2025/output/landscape_metrics.html#/title-slide <-- shared presentation
--
#GIS #spatial #mapping #R #tutorial #onlinelearning #presentation #rasters #remotesensing #earthobservation #landscape #metrics #spatialanalysis #spatiotemporal #natural #social #cultural #ecosystems #biodiversity #water #waterquality #usecase #geomorphology #geomorphometry #patterns

**Frontend Dogma** @frontenddogma@mas.to · Apr 6

Apr 6

Frontend Dogma @frontenddogma@mas.to

How WebAssembly Crushes Technical Debt, by (unattributable):

https://archive.fo/EpiUo

#webassembly #technicaldebt #metrics

**Greg Cocks** @GregCocks@techhub.social · Mar 30

Mar 30

Greg Cocks @GregCocks@techhub.social

River Water Quality Shaped By Land–River Connectivity In A Changing Climate
--
https://doi.org/10.1038/s41558-023-01923-x <-- shared paper
--
#GIS #spatial #mapping #waterquality #river #spatialanalysis #model #modeling #climatechange #climaterisk #spatiotemporal #waterresources #watersecurity #ecosystems #watersupply #extremeweather #biogeochemical #connectedsystems #landforms #runoff #infiltration #surfacewater #groundwater #recharge #metrics #wildfire #fire #drought #management #planning #storms #flood #flooding

**ndocist** @ndocist@oc.todon.fr · Mar 26

Mar 26

ndocist @ndocist@oc.todon.fr

#Bibliométrie prête à l'emploi avec @OpenAlex : retour d'expérience - @cnrs
- Centre national de la recherche scientifique
Le CNRS se désabonne de Scopus tout en maintenant l’abonnement au WoS et développe un partenariat pluriannuel avec OpenAlex #metrics
https://cnrs.hal.science/hal-05003502v1

cnrs.hal.scienceBibliométrie prête à l'emploi avec OpenAlex : retour d'expérienceEn décembre 2023, le MESR a mis en place un partenariat pluriannuel avec OpenAlex. En janvier 2024, le CNRS annonce se désabonner de Scopus (tout en maintenant l’abonnement au WoS) et va “opérer progressivement une bascule vers des outils bibliographiques libres et compatibles avec la politique de science ouverte de l’organisme”. Le DGDS (Directeur Général Délégué à la Science) mentionne OpenAlex comme l’une des alternatives possibles. En février 2024, le Centre for Science and Technology Studies (CWTS) publie la version ouverte du classement de Leiden ou Leiden Ranking. Cette version ouverte utilise les données d’OpenAlex. Face à cet engouement pour OpenAlex, l’Inist-CNRS a décidé de se mettre en capacité de produire des études bibliométriques à partir de cette base bibliographique en utilisant le logiciel open source Lodex, développé par l’Inist-CNRS. Un groupe projet a été créé en avril 2024 afin d’établir une méthodologie d’interrogation de l’API OpenAlex, de traitement des données bibliographiques et de constitution d’indicateurs bibliométriques à l’échelle d’un laboratoire, avec LODEX. Il est à noter que ce projet n’avait vocation (i) ni à analyser le taux de couverture d’OpenAlex par rapport à d’autres bases bibliographiques, (ii) ni à faire une étude comparative entre une étude réalisée à partir d’OpenAlex avec des études existantes réalisées à partir d’autres bases bibliographiques.

**NLnet Labs** @nlnetlabs@fosstodon.org · Mar 24

Mar 24

NLnet Labs @nlnetlabs@fosstodon.org

And with that, Prometheus #metrics are now merged in NSD, our authoritative #DNS server. Next up, Unbound… https://github.com/NLnetLabs/nsd/pull/429

GitHubAdd prometheus metrics by mozzieongit · Pull Request #429 · NLnetLabs/nsdBy mozzieongit

**Greg Cocks** @GregCocks@techhub.social · Mar 13

Mar 13

Greg Cocks @GregCocks@techhub.social

Glacial Lake Mapping Using Remote Sensing Geo-Foundation Model
--
https://doi.org/10.1016/j.jag.2025.104371 <-- shared paper
--
HIGHLIGHTS:
• Proposed U-ViT model based on Prithvi GFM for multi-sensor glacial lake mapping.
• Achieved an F1 score of 0.894 on Sentinel-1&2, surpassing CNNs scoring below 0.8.
• Maintains strong performance with 50% less training data, proving efficiency.
• Excels in detecting small lakes (<0.01km²) and handling clouds and complex terrains..."
#GIS #spatial #mapping #glaciallake #GeospatialFoundationModel #satellite #Sentinel #GaoFen #remotesensing #earthobservation #model #modeling #climatechange #glacial #glacier #melt #melting #UViT #deepleanring #AI #framework #performance #metrics #opensource

phot - glacier with glacial lake, Karakoram mountain range

**Greg Cocks** @GregCocks@techhub.social · Feb 19 *

Feb 19 *

Greg Cocks @GregCocks@techhub.social

Among the World’s Top Researchers 10% Publish At Unrealistic Levels, Analysis Finds
--
https://www.chemistryworld.com/news/among-worlds-top-researchers-10-publish-at-unrealistic-levels-analysis-finds/4020962.article <-- shared article
--
https://doi.org/10.1080/08989621.2024.2445280 <-- shared paper
--
[again, not my usual fare but interesting… the cartoon was added as a bit of facetious fun...]
#papers #publishing #research #publishorperish #metrics #fraud #retractions #academic #researchers #implausible #author #coauthor #newcomers #anomalous #metrics #inflation #career #quality #academia #unrealistic

cartoon - cynical approach to data observations --> papers

charts - Recent high rates of publications and new co-authors. PDFs of publication rates (a,b), new co-author rates (d,e) and co-authors per publication (g,h). The evolution of PDFs with career length for T2 data is shown in c, f and i.

charts - Anomalous numbers in the metrics. normalized PDFs of: (a) publication rate versus new co-authorship rate. (b) Career length of T2 and NL. (c) Number of co-authors versus career length. (d) Number of publications versus career length. (e) h-index per publication versus co-author rate. (f) Citations per publication versus co-author rate. (g) h-index per publication versus publication rate. (h) Citations per publication versus publication rate.

photo - laptop in front of a stack of paper

**George Ellenburg (he/him/his)** @gme@bofh.social · Feb 19

Feb 19

George Ellenburg (he/him/his) @gme@bofh.social

Glad to see I'm not the only one that lost all metrics when migrating from #Firefish to #Sharkey. This is quite sad actually. One of my instances has close to 2000 active users and none of them are represented anywhere on any #Fedi #metrics or #statistics because metrics are completely hosed and b0rked on Sharkey.

**LabPlot** @LabPlot@floss.social · Feb 18 *

Feb 18 *

LabPlot @LabPlot@floss.social

How to visualize #server #metrics in #RealTime via #TCP in @LabPlot ?

@labplot@lemmy.kde.social @sysadmin@lemmy.world @sysadmin@lemmy.ml @cybersecurity

The purpose of this simple tutorial is not to position LabPlot against dedicated applications, but rather to show how its "Live Data" functionality can be used.

https://docs.labplot.org/en/tutorials/live_data/tutorials_live_data_server_monitoring_via_tcp.html

#DevOps #SysAdmin #LiveData

**Henning Deters** @DetersHenning@eupolicy.social · Feb 16 *

Feb 16 *

Henning Deters @DetersHenning@eupolicy.social

A little bit of plagiarism is fine.
#AcademicChatter #Metrics #PaperMills #Spam

Email Screenshot:

Dear Professor | Scientist | Scholar,
Greetings!
I hope that you are healthy and doing well.
You are invited to submit original research article (s) based on your research expertise. Article (s) can be submitted from the journal website by using the “Article Submission System” throughout the year if:

The plagiarism of the article is less than 15%, including references.
The article is within the scope of the journal.
The article is original and result-oriented.
For more detailed information, please visit ‘Journal Consortium’.

**Greg Cocks** @GregCocks@techhub.social · Feb 14

Feb 14

Greg Cocks @GregCocks@techhub.social

PyForestScan - A Python Library For Calculating Forest Structural Metrics From LiDAR Point Cloud Data
--
https://doi.org/10.21105/joss.07314 <-- shared paper
--
https://github.com/iosefa/PyForestScan <-- GitHub repository
--
[disclaimer: I have not tried this library]
#GIS #spatial #mapping #JOSS #remotesensing #LiDAR #pointcloud #forest #structural #metrics #spatialanalysis #geostatistics #ecology #ecological #FHD #PAD #PyForestScan #model #modeling #opensource #Python #library #density #canopyheight #areaindex #DTM #output #PDAL #forest #forestry #monitoring #carbonaccounting

image - point cloud example - side of a forest

graphic - PyForestScan - example - Y vs Height Above Ground Coloured By Height Above Ground

graphic - PyForestScan - example - Y vs Z Coloured By Height Above Ground

graphic - PyForestScan - example - Foliage Height Diversity (FHD)

Continued thread

**petersuber** @petersuber@fediscience.org · Feb 7 *

Feb 7 *

petersuber @petersuber@fediscience.org

Update. Confirming the study above, a new study finds that when new #species are added to the endangered species list, the research documenting the danger comes much more often from low-JIF journals than from high-JIF journals. The authors call for new impact metrics to take this into account.
https://www.nature.com/articles/d41586-025-00144-w
(#paywalled)

PS: There are two related conclusions here. Academic incentives for high-JIF publications lead scientists away from research that might help save endangered species. Helping save endangered species is an important kind of impact that fails to register on prevailing impact metrics.

www.nature.comWant to get a species protected? Publish in a small, niche journalStudies are more likely to influence conservation law if they are published in specialist journals — but researchers worry that their true impact is being ignored in hiring and promotion decisions.

#Animals #Assessment #Extinction

**Greg Cocks** @GregCocks@techhub.social · Feb 5

Feb 5

Greg Cocks @GregCocks@techhub.social

Segment Anything Model Can Not Segment Anything - Assessing AI Foundation Model’s Generalizability In Permafrost Mapping
--
https://doi.org/10.3390/rs16050797 <-- shared paper
--
#GIS #spatial #mapping #remotesensing #foundationmodel #AI #artificialintelligence #zeroshot #segmentation #GeoAI #spatialanalysis #LargeLanguageModel #LLM #SAM #performance #metrics #permafrost #visionmodel #icewedge #Arctic #warming #climatechange #thawslumps #landform #terrainmapping #EuroCrops #agriculture

photo - permafrost on a steep slope, with an ice wedge, Arctic Alaska

schematic / work flow - Architecture of SAM (left of the dashed line) and CLIP (right of the dashed line) and their combined workflow for instance segmentation

maps/images - Results from knowledge-embedded learning with SAM. The results are those after fine-tuning. The images are the same as those in [other figure.]

maps/images - Results of zero-shot learning with the integrated SAM+CLIP model. Mask colors in red and blue represent ground-truth labels and model prediction respectively. The last column displays the final result, and the second-to-last column presents the intermediate results from SAM, which are used as input for CLIP.

**Data Bene** @data_bene@fosstodon.org · Feb 4

Feb 4

Data Bene @data_bene@fosstodon.org

Have you heard about StatsMgr? A recent release from our team here at Data Bene, it's an #OpenSource #PostgreSQL extension that enables support for advanced statistics querying & management.

Pull, watch, fork, or contribute to the extension on #Codeberg: https://codeberg.org/Data-Bene/StatsMgr

Or find more details on our blog: https://www.data-bene.io/en/blog/postgres-cafe-expand-monitoring-capabilities-with-statsmgr/

StatsMgr: PostgreSQL Statistics Management Extension

StatsMgr is a PostgreSQL extension designed for efficient and organized management of statistics. It leverages background workers and shared memory to snapshot, manage, and query various statistics kinds, including WAL, SLRU, checkpointing, and others. The extension supports dynamic initialization, shared memory utilization, and SQL interfaces for querying and managing statistics data.

Main Features:
- snapshot PostgreSQL cumulative statistics at fixed intervals
- keep history of the N last snapshots
- C and SQL API

#Postgres #FOSS #OSS

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