#scilit — Public Fediverse posts

NASA's #data collection has undergone massive shifts in lifecycle management, #FAIR_data, technological trends, and policy. Evolving from 1980s magnetic tapes to a network of over 30 online repositories, the tech trends are easiest to identify. Adoption of #DataPipeline and #DataStandards an ongoing focus. #DataGovernance and #DataRescue are emerging. NASA #DataStewardship navigates rapid technology and long-term science.

Bugbee, K., & Ramachandran, R. (2025) https://doi.org/10.1029/2025EA004413 #SciLit

New study: "Non-selective databases (#Dimensions, #OpenAlex, #Scilit, and #TheLens) index a greater amount of retracted literature than do databases that rely their indexation on venue selection (#PubMed, #Scopus, and #WoS)…The high coverage of OpenAlex and Scilit could be explained by the inaccurate labeling of retracted documents in #Scopus, Dimensions, and The Lens."
https://link.springer.com/article/10.1007/s11192-024-05034-y

#Retractions

Models are the bridge between theory and data. With new omics and other tools being increasing applied to soil carbon cycling, how well are our models making this connection? Schimel 2023 https://doi.org/10.1016/j.soilbio.2023.108948 concludes that microbial explicit models are still, very much, in the development phase and outlines why this is a hard problem. #SoilCarbonModel #MicrobialEcology #SoilBGC #SoilCarbonCycling #ReviewArticle #SciLit

Soil fractionation offers one way to try to tease out soil carbon dynamics beyond bulk. Using a linear-mixed effects model and large soil carbon database ( #ISRaD ) Heckman et al 2022 https://doi.org/10.1111/gcb.16023 found that depth was critical in explaining soil carbon stocks and persistence. Many traditional ClORPT variables were also explanatory, except for NPP, though their effects of different fractions differed. #SoilCarbon #DataCollection #Reanalysis #sciLit

Data patterns for community survey data integrated into a data harmonization workflow description, O'Brien etal 2021 tackles the issue of diverse data harmonization for ecological community surveys. https://www.sciencedirect.com/science/article/pii/S1574954121001655 #DataScience #DataPipeline #DataCuration #SciLit

The development of high value data products requires close community collaborations as needs are challenging to anticipate a priori. Baker etal 2015 describe the socio-science context for a set of sea ice data products that illustrate this winding road. https://ijdc.net/ijdc/article/view/10.2.110 #DataScience #CommunityScience #DataCuration #SciLit

Soil health is a useful metaphor that can help us think about our soils in new ways. But it is a metaphor, and quantitative metrics/indecies should be used with caution. Soil health encapsulating functionality, vitality, and sustainability of a soil within the context of it’s lands. Janzen et al 2021 https://doi.org/10.1016/j.soilbio.2021.108167 #SoilHealth #SocioEcosystem #SciLit

Coastal carbon data and tools to support blue carbon research and policy. Holmquist etal 2023 https://onlinelibrary.wiley.com/doi/10.1111/gcb.17098 #SoilBGC #BlueCarbon #SciLit #DataPaper 2/n

@𝗧𝗵𝗲𝗧𝗼𝗿𝗼𝗻𝘁𝗼𝗭𝗼𝗼
It's #ScienceLiteracyWeek and we're celebrating Energy 🔬🌱

At your Toronto Zoo, energy means different things to the different people that work here, as well as the animals under our care.

Hear from the many people who are making a difference 🎤 #SciLit #conservationscience https://t.co/v0to5f5ouc
∙ 𝚂𝚎𝚙 𝟷𝟾, 𝟸𝟶𝟸𝟹 𝟷𝟷:𝟹𝟷𝙰𝙼 ∙

https://nitter.net/TheTorontoZoo/status/1703793912605819152

#zoo #animals #TheTorontoZoo

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.

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

Simple models work to describe climate gradients of litter bag mass loss. Liski et al 2003 https://doi.org/10.1046/j.1365-2486.2003.00605.x #LandCarbon #Litter #SciLit #Parameterization

Simple models work to describe climate gradients of litter bag mass loss. Liski et al 2003 https://doi.org/10.1046/j.1365-2486.2003.00605.x #LandCarbon #Litter #SciLit #Parameterization

Simple models work to describe climate gradients of litter bag mass loss. Liski et al 2003 https://doi.org/10.1046/j.1365-2486.2003.00605.x #LandCarbon #Litter #SciLit #Parameterization

Simple models work to describe climate gradients of litter bag mass loss. Liski et al 2003 https://doi.org/10.1046/j.1365-2486.2003.00605.x #LandCarbon #Litter #SciLit #Parameterization