Looking for TROLLing? Click here: https://trolling.uit.no/
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

321 to 330 of 10,511 Results
Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts
Dec 2, 2024
Martinsen, Iver; Sørensen, Steffen Aagaard; Ortega, Samuel; Godtliebsen, Fred; Tejedor, Miguel; Myrvoll-Nilsen, Eirik, 2024, "Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts", https://doi.org/10.18710/QGBZZK, DataverseNO, V1
This dataset contains PNG images of individual foraminifera and sediment grains. The dataset contains a set of training images, and a set of test images. Each of the sets contains four subfolders for each of the four classes in the dataset. The four classes are: A (Benthic Agglut...
00_README.txt
Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts
Plain Text - 4.7 KB - MD5: 9192c827b76e670047c63b1239ef640e
test_images.zip
Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts
ZIP Archive - 26.1 MB - MD5: ec1d0be919dc567eb61e31742d366f58
train_images.zip
Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts
ZIP Archive - 102.3 MB - MD5: f7f426770785272364dde3c6e03a801f
Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea
Nov 19, 2024
Serov, Pavel; Andreassen, Karin; Winsborrow, Monica; Mattingsdal, Rune; Patton, Henry, 2024, "Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea", https://doi.org/10.18710/7PE8Q9, DataverseNO, V1
The dataset contains replication data for scientific article "Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea". Specifically, it contains multibeam echosounder data in .gwc (generic water column) format acquired in CAGE 1...
00_README_V3.txt
Nov 19, 2024 - Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea
Plain Text - 11.7 KB - MD5: b26e1453888c7ae0535342e5a3dba66b
CAGE_18-1_0000-0009_HH.zip
Nov 19, 2024 - Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea
ZIP Archive - 733.8 MB - MD5: f611e5759dea1ea46256493e9759e5ee
CAGE_18-1_0010-0019_HH.zip
Nov 19, 2024 - Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea
ZIP Archive - 856.0 MB - MD5: cec9d302ed32be7b422d2ba4162eb7a0
CAGE_18-1_0020-0029_HH.zip
Nov 19, 2024 - Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea
ZIP Archive - 614.2 MB - MD5: e1643228d344fde26073724d0699ee4a
CAGE_18-1_0030-0039_HH.zip
Nov 19, 2024 - Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea
ZIP Archive - 664.2 MB - MD5: e090e936d6ae13b3df0f33ecb3b3bc93
Add Data

Log in to create a dataverse or add a dataset.

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.