Down core fits for a microbial and mineral-sorption with transport of #soilOrganicCarbon explains old soils without the need for traditional passive pools. Ahrens etal 2015 https://doi.org/10.1016/j.soilbio.2015.06.008 #ProcessModel #LandCarbon #SciLit

One of those papers where I'm a little ashamed at how long it took me to find/read.

Barries to big team science includes misaligned professional incentives, lack of Global South inclusion, and lack of funding. Yet big grassroots efforts exist, it’s unclear what makes these succeed. Coles et al 2022 https://doi.org/10.1038/d41586-022-00150-2 #TeamScience #HowToScience #SciLit

I suspect that these successful groups were able to build community around a shared mission. Yes funding, rewards, and diversity makes this hard. And solving these would not be sufficient to create successful collaborations.

Phylogenetic relatedness over time greater then chance with some habitat sorting. Lindh etal 2016 https://www.frontiersin.org/articles/10.3389/fmicb.2016.02078/full #MarineMicrobialEcology #Metagenetics #SciLit

Thinking deeply about how to name things often means going back to the basics. Scientific Variable Ontology (SVO) and connection to variable naming in data frames using a Process_of_Phenomenon (example temperature_of_air). Stoica and Peckham 2019 http://mint-project.info/assets/publications/stoica-peckham-cwm19.pdf #DataScience #NamingOfThings #SciLit

Ok @academicchatter folks, I sometimes micro-blog recaps of journal articles (#SciLit) is there a group that I should be including in this posts? Coming over from Twitter hash tags did this but that is a bit harder. Thoughts?

SCILIT academic search engine not only retrieves citations but also displays several sentences from the article that show how the article matched your search query:

https://scilit.vercel.app

Video showing how to use it;
https://www.youtube.com/watch?v=PKvNaY5Og1Y

New arxiv paper describing it:
https://arxiv.org/pdf/2306.03535.pdf

#search #scilit

Excellent book on how data has been used in good and bad ways to inform policy. Notable cases studies include air quality in the Beijing olympics, NYC incarceration rates, and mathematics of lotto in poor communities.

Data Action Using Data for Public Good (2022), by Sarah Williams https://mitpress.mit.edu/9780262545310/data-action/ #SciLit #MiniBookReview #DataScience