Happy to have collaborated on this with Miguel! A new time-calibrated molecular phylogeny of radiolarians with insights on their hidden diversity 🧪
Radiolaria are known for their elaborate and gorgeous skeletons, found all over our oceans. But what if I tell you that half of their diversity might be naked!? www.biorxiv.org/content/10.1...
Hi! I'd like to be added to the feed if possible. Thanks! orcid.org/0000-0002-91...
New article from our student Gabrielle, on Late Eocene paleoproductivity in the Southern Ocean! 🧪 cp.copernicus.org/articles/20/...
Abstract. The Eocene–Oligocene transition (EOT, ca. 40–33 Ma) marks a transformation from a largely ice-free to an icehouse climate mode that is well recorded by oxygen-stable isotopes and sea surface...
The result seems more congruent with model expectations (i.e. instead of a sharp increase, a mostly stable history, with a slightly decreasing trend).
Our latest study using the Neptune database is out as a preprint. Long story short: we tried to replicate past estimates of global sedimentation rates during the Cenozoic and noticed biases that went previously ignored and tried to correct them. egusphere.copernicus.org/preprints/20...
Abstract. Global weathering is a primary control of the earth's climate over geologic time scales: converting atmospheric pCO2 into dissolved bicarbonate; with carbon sequestration by marine plankton ...
The first finely resolved CO2-curve for the last 66 million years. Almost identical to the temperature curve. Little room for other drivers than greenhouse gasses to control Earth's climate. www.science.org/doi/10.1126/...
then `getNeptuneData(nsb, fossil_group="R", age_range=c(0,1), ocean="ANT",resolve_syn=TRUE)` to download all antarctic radiolarians from the last Myr for instance or `findAge(nsb, "113_689B", depth_mbsf=c(0,10,100))` to get sample ages (4/4)
chronosphere works well with our package NSBcompanion too. Once both packages are installed and loaded, just: `nsb <- chronosphere::fetch("neptune")` to open a connection that can be used by NSBcompanion (3/4)
The raw backup, a sqlite version (easier to work with without a server), and occurrences and age models tables are available for each version. Additionally, thanks to Adam Kocsis and @mauritiantales chronosphere package, one can access those backup directly from R! (2/4)