@cct_datascience

@calscct Data Science Team enabling data intensive science follow us @cct_datascience@fosstodon.org to keep in touch

 Tucson, AZ
datascience.cals.arizona.edu/
Joined November 2019
  • Tweets200
  • Following194
  • Followers164
21Media
The monsoon officially starts June 15 and ends Sept. 30. Have a prediction for this year's monsoon season? Join MONSOON FANTASY, submit your forecasts, earn points & compete with others for prizes. Learn more: news.arizona.edu/story/monso… Play the game: monsoonfantasy.arizona.edu/h…

Monsoon Madness: Professional and Amateur Forecasters Invited to Bet on Much-Needed Rain

Professional forecasters' predictions for this year's monsoon season are "basically a scientific shrug," according to UArizona climate researchers. Now, members of the public can put their own...

news.arizona.edu
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UArizona CCT Data Science Team retweeted
U of A College of Information Science@UofAInfoSci15 May 2023
Congratulations to our @uarizona @UAZiSchool Distinguished Graduate Scholars! #distinguishedscholars #RockStars #WildcatForLife #outstanding #UArizona #beardowngrad #beardown #beardownforlife #arizonaalumni #classof2023 #2023graduate #thefutureisbright #upandout
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UArizona CCT Data Science Team retweeted
Tucson Sentinel@TucsonSentinel8 May 2023
Climate change may spell disaster for Arizona’s saguaro bit.ly/3M5p9HL #Tucson #Arizona

Climate change may spell disaster for Arizona’s saguaro - Click pic for more:

Thriving through three distinct biomes and migrating north from Mexico over several million years, the prickly giants unique to Mexico and Arizona are perhaps the region’s most distinctive feature -...

tucsonsentinel.com
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UArizona CCT Data Science Team retweeted
Ondřej Mottl@OndrejMottl3 May 2023
🌟 Exciting news! I'm thrilled to announce the public release of #FOSSILPOL, an #opensource software and #RStats package, designed to compile large-scale fossil pollen datasets for multi-proxy analysis at various scales🌎 🔗bit.ly/FOSSILPOL_website A🧵👇
FOSSILPOL is an #R-based modular workflow to process multiple fossil pollen records to create a comprehensive, standardised dataset compilation, ready for multi-record and multi-proxy analyses at various spatial and temporal scales.

ALT FOSSILPOL is an #R-based modular workflow to process multiple fossil pollen records to create a comprehensive, standardised dataset compilation, ready for multi-record and multi-proxy analyses at various spatial and temporal scales.

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UArizona CCT Data Science Team retweeted
Chelsea Parlett@ChelseaParlett4 May 2023
May the 4th (standardized moment) be with you! Let's talk about KURTOSIS Moments of a distribution tell you about the shape/location of the distribution. You may be familiar with the 1st moment (mean), the 2nd central moment (variance) and the 3rd standardized moment (skewness)
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Abdeljalil El Habti@a_elhabti2 Apr 2023
Not an April Fool, this is now possible! Our rapid method for stomata phenotyping is published! It combines live imaging of leaves using a handheld microscope with automated image analysis, making stomata phenotyping fast and fun! @theGRDC @AgrifoodUoA @waiteresearch @TheAIML
Plant Methods@PlantMethods1 Apr 2023
Rapid non-destructive method to phenotype stomatal traits dlvr.it/SlprCj

Rapid non-destructive method to phenotype stomatal traits

Plant Methods - Stomata are tiny pores on the leaf surface that are central to gas exchange. Stomatal number, size and aperture are key determinants of plant transpiration and photosynthesis, and...

link.springer.com
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UArizona CCT Data Science Team retweeted
Chelsea Parlett@ChelseaParlett3 Apr 2023
This needs a LOT MORE polishing before it could be a stand-alone blog post, but here's the website I'm using today (made with #Quarto!) to walk undergrads through building their first ✨Shiny for Python App✨ 🔗cmparlettpelleriti.github.io…
A screenshot of the linked page that shows the title (Building a Shiny for Python App", the author ("Dr. Chelsea Parlett-Pelleriti") and the first title ("Shiny")

ALT A screenshot of the linked page that shows the title (Building a Shiny for Python App", the author ("Dr. Chelsea Parlett-Pelleriti") and the first title ("Shiny")

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Quarto@quarto_pub13 Mar 2023
Quarto 1.3 is coming! We'll be blogging about some of the new features we are most excited about. First up: Code Annotation! quarto.org/docs/blog/posts/2… You don't have to wait for the official release to try it out. You can download the pre-release at quarto.org/docs/download/pre…
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👀 Don't miss this @uarizona #postdocjobs in Climate Change & Human Resiliency. APPLY by 3/17: 👇arizona.csod.com/ux/ats/care… #postdoc #conservation #environment #research #resilience #ClimateJustice #OneHealth @uazenvironment @UASNRE @uazresearch @UAZScience @UAZPublicHealth
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UArizona CCT Data Science Team retweeted
😷Tucson Python 💉@PythonTucson20 Feb 2023
Happy birthday Python! It was released on this day 32 years ago on February 20, 1991 by @gvanrossum 🐍👩‍💻🎂🎈🐍🎉💻🎊 🐍 #Python #Programming
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UArizona CCT Data Science Team retweeted
rOpenSci@rOpenSci31 Jan 2023
[technote] Dynamite for Causal Inference from Panel Data using Dynamic Multivariate Panel Models @jouni_helske explains the fascinating world of synthetic controls and interventions with clear examples exploring the power of dynamite. ropensci.org/blog/2023/01/31… #RStats (1/2)

Dynamite for Causal Inference from Panel Data using Dynamic Multivariate Panel Models

Dynamite is a new R package for Bayesian modelling of complex panel data using dynamic multivariate panel models.

ropensci.org
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Kateri Salk@KateriSalk9 Jan 2023
Interested in consulting? My Ecological Data Science team at Tetra Tech is hiring and environmental data scientist! We are looking for someone with a solid disciplinary background with skills in coding and GIS. Happy to answer any questions! tetratech.referrals.selectmi…

Environmental Data Scientist in Research Triangle Park, North Carolina, United States

Are you looking for a chance to build your career with a company who is Leading with Science®? Are you interested in working with a group of...

tetratech.referrals.selectminds.com
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Mara Averick@dataandme4 Jan 2023
Lots of cool new stuffs in {purrr} 1.0.0, including progress bars! Check out @hadleywickham's release post: tidyverse.org/blog/2022/12/p… #rstats
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posit::glimpse()@posit_glimpse21 Dec 2022
purrr 1.0.0 is now on CRAN 🐈 Highlights include progress bars, better errors, and a new map_vec(). We've also refined the core purrrpose of the package and purrrfected tools for flattening and simplifying. Learn more at tidyverse.org/blog/2022/12/p…! #rstats
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Richard McElreath 🐈‍⬛@rlmcelreath7 Dec 2022
Open registration begins for the 2023 session of my annual anti-statistics course focusing on causal inference & Bayesian data analsysis & fully coded examples. Lectures will be free online, so no need to register unless you want to join discussions. github.com/rmcelreath/stat_r…
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SORTEE@sortecoevo1 Dec 2022
📢📢📢 Less than 4 days before the 4th workshop from the "SORTEE Workshops & Webinars Series" "Open Educational Resources as a Tool for More Inclusive Teaching in E&E" by @TashaGownaris (5th Dec) There are still slots available. Register at: eventbrite.com/e/open-educat… #SORTEEtools

Open Educational Resources as a Tool for More Inclusive Teaching in E&E

Open Educational Resources as a Tool for More Inclusive Teaching in Ecology & Evolution

eventbrite.com
SORTEE@sortecoevo14 Nov 2022
Replying to @sortecoevo @afredston @Elliot_Gould_ @EcoFilazzola @SophieBreitbart
Registration open for our 4th workshop (5th Dec): "Open Educational Resources as a Tool for More Inclusive Teaching in E&E" Organizer: Natasha Gownaris (@TashaGownaris; more about the organizer at: natashagownaris.com/labmembe…) More in our Mastodon account: ecoevo.social/web/@sortee
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UArizona CCT Data Science Team retweeted
US-RSE | @us_rse@fosstodon@us_rse31 Oct 2022
New #RSEng Job! 😸️ Name: Research Software Developer Location: Lawrence Berkeley National Lab, Berkeley, CA (Remote Friendly) lbl.referrals.selectminds.co…
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UArizona CCT Data Science Team retweeted
Marc J. Lajeunesse@LajeunesseLab26 Oct 2022
Meta-analysis is formal & explicit -- don’t get fooled by incomplete applications for synthesizing research But how do you separate the wheat from chaff? Here’s a 10min YouTube video of the 3 defining features of a high-quality meta-analysis 💪 youtu.be/3XkC_jetn-U
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UArizona CCT Data Science Team retweeted
UF Information Technology@UF_InfoTech19 Oct 2022
Thrilled to have our very own lead of @UF's research computing training team, scientist Matt Gitzendanner, showing the innards of the 70,000+ core HiPerGator supercomputer. Interested in taking training with Matt? Here's the schedule: rc.ufl.edu/calendar/
FLORIDA
@UF19 Oct 2022
Take a look at the groundbreaking technology inside the most powerful university-owned #AI supercomputer in the nation with @GoGatorsUFIT Research Computing scientist, @m_gitz.
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UArizona CCT Data Science Team retweeted
NormConf 🚿@normconf19 Oct 2022
Out ⚡️Lightning Talk Lineup⚡️ is now up on our website! Check out these great submitted talks! All ⚡Lightning Talks⚡ will be ~5 minutes long and posted to YouTube before the main NormConf event for your on-demand viewing pleasure. normconf.com

Normconf

Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn't get the spotlight

normconf.com
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