Metrics
1,682,092 Downloads
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 11,089 Results
Jul 1, 2025
Vallet, Marine, 2025, "Mass spectrometry imaging of Antarctic Ulva and its native microbiome with AP-SMALDI-HRMS", https://doi.org/10.17617/3.HJPDTU, Edmond, V1
The algal holobiont, which consists of algae and the bacteria living on it, has developed strategies to handle environmental stresses, such as changes in temperature. The green alga Ulva (Chlorophyta) hosts bacteria that promote algal growth and development, from germlings to mature plants. These associated bacteria produce bioactive compounds, inc...
Jun 27, 2025
Salinas, Mariana, 2025, "Code for "Mesoscale eddies heterogeneously modulate CO₂ fluxes in eddy-rich regions of the Southern Ocean"", https://doi.org/10.17617/3.LQT15X, Edmond, V1
This dataset provides the Python scripts used for the analysis in the manuscript titled "Mesoscale eddies heterogeneously modulate CO₂ fluxes in eddy-rich regions of the Southern Ocean," submitted to Biogeosciences (BG), a Copernicus journal.
Python Source Code - 4.9 KB - MD5: c0322642b80e285fead078159a186311
This script reconstructs the air-sea CO₂ flux using physical drivers (wind speed, SST, SSS, pCO₂ gradients) following parameterizations from Weiss (1974) and common Schmidt number formulations. It isolates the contributions from solubility, gas transfer velocity, and the ocean-atmosphere pCO₂ gradient.
Python Source Code - 4.3 KB - MD5: dbf8ebd1b59f540422cfd60d3b733a3f
This script performs eddy detection using previously computed Okubo-Weiss criterion and vorticity fields. It identifies closed contours where vorticity dominates over shear (i.e., negative values of the Okubo-Weiss criterion) and classifies them as cyclonic or anticyclonic structures based on the mean vorticity within each contour.
Python Source Code - 4.5 KB - MD5: 0832d83a4637cd9f51f549c2945effd1
Script to filter signals in oceanographic data using Dask and FFT. It separates frequency components for variables such as co2flux, pco2, etc. Requires a SLURM environment to run on an HPC cluster.
Python Source Code - 6.7 KB - MD5: 9e0bdadc4ffbda98c1f088e130dcf41e
This script masks four defined flow regimes—anticyclones, cyclones, periphery, and background based on Okubo-Weiss criteria. It computes the spatial integration of CO2 flux within each regime, considering the spatial area to produce area-weighted averages.
Python Source Code - 5.2 KB - MD5: b753701f5b6114d1001c6f4c7e21b725
This script performs the Takahashi decomposition to analyze the contributions of different oceanic variables (DIC, alkalinity, salinity, temperature) to changes in surface pCO₂ .
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.