Woods Hole Oceanographic Institution is the world's leading, independent non-profit organization dedicated to ocean research, exploration, and education. Our scientists and engineers push the boundaries of knowledge about the ocean to reveal its impacts on our planet and our lives
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

481 to 490 of 5,563 Results
mobile_g02_his_00062.nc
Jun 25, 2026 - Circulation model data for Mobile Bay
Network Common Data Form - 20.9 GB - MD5: f90036fccbb1720509014b738d78edac
mobile_g02_his_00063.nc
Jun 25, 2026 - Circulation model data for Mobile Bay
Network Common Data Form - 20.9 GB - MD5: a79e43151c686d84e60e72e9eaed1c25
mobile_g02_his_00064.nc
Jun 25, 2026 - Circulation model data for Mobile Bay
Network Common Data Form - 20.9 GB - MD5: a79c469e2360d46cae48d667fc4031e7
ocean_mobile.in
Jun 25, 2026 - Circulation model data for Mobile Bay
Unknown - 127.3 KB - MD5: edb60ae58482d2129e61391c9292c536
Skan Bay Storm Reconstruction Data
Skan Bay Storm Reconstruction Data
Jun 3, 2026 - Geology & Geophysics
McKeon, Kelly; Donnelly, Jeffrey P.; Piecuch, Christopher G.; Maio, Christopher V.; Hawkes, Andrea; Barnett, Laura; Bigelow, Nancy; Blanco, Christopher L.; Bogardus, Reyce; Hatfield, Virginia; LaClair, Christopher L.; McDonald, Kala; Nissen, Grace; Oleyer, Piama; Patterson, Amina; Sanborn, Lily; Starr, Mitchell; Winkler, Tyler, 2026, "Skan Bay Storm Reconstruction Data", https://doi.org/10.26027/DATAHRVBCG, MBLWHOI Library Dataverse, V1, UNF:6:yOUd/NoX+Zh8Nhthulm9Qg== [fileUNF]
This deposit contains all core images, logs, radiographs, codes, and data needed to run analysis and produce figures from McKeon et al. (2026), North Pacific extreme storms reconstructed with a novel approach to estimating storm frequency and uncertainty. Raw and processed XRF, grain size, Pb-210, radiocarbon, and meteorological data are provided h...
age_CE.csv
Jun 3, 2026 - Skan Bay Storm Reconstruction Data
Tabular Data - 43.7 KB - 1 Variables, 8157 Observations - UNF:6:0K1Mot3plRt2Df+VxpbL2Q==
all_years.csv
Jun 3, 2026 - Skan Bay Storm Reconstruction Data
Tabular Data - 199.2 KB - 1 Variables, 8156 Observations - UNF:6:8MTzkhwvgJxbz6S095oKQQ==
ASOS_Airport_Data.csv.zip
Jun 3, 2026 - Skan Bay Storm Reconstruction Data
ZIP Archive - 6.3 MB - MD5: 2c59450a883745036fce962c13fd2fab
ASOS_Airport_Data.csv
Jun 3, 2026 - Skan Bay Storm Reconstruction Data
Tabular Data - 49.2 MB - 13 Variables, 642101 Observations - UNF:6:ex3/V8Cz6TCHByfS33OQVw==
cope7.jpg
cope7.jpg
Jun 3, 2026 - Skan Bay Storm Reconstruction Data
JPEG Image - 386.9 KB - MD5: 70edf3140f861a8dd2ef3c4652a247a7
Add Data

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

Sign Up Log In
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.