Metrics
1,769,449 Downloads
Contact Share
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

2,241 to 2,250 of 12,889 Results
09_Raw_CWD_volumes.csv
May 23, 2024 - Replication Data for: Long term effects of forest management on forest structure and dead wood in mature boreal forests
Comma Separated Values - 378.6 KB - MD5: 5a31d2e76c97dc61ff0cbc8e57e8def2
Data on dead wood volume per dead wood unit
10_Connectivity_spruce.csv
May 23, 2024 - Replication Data for: Long term effects of forest management on forest structure and dead wood in mature boreal forests
Comma Separated Values - 29.2 KB - MD5: 22f4669b38c27fcc6c1eae089c173972
Connectivity of living spruce volume within a 25 km radius from each Site_ID
UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset
May 15, 2024 - UiT The Arctic University of Norway
Shvetsov, Nikita; Kilvær, Thomas Karsten; Dalen, Stig Manfred, 2024, "UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset", https://doi.org/10.18710/ZZASBA, DataverseNO, V1
The UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset is a collection of image patches designed for computational prognostic evaluation of lung cancer. Compiled from a subset of 194 whole-slide images (WSIs) from the University Hospital of North Norway, this dataset provides a comprehensive representation of various lung tissue con...
00_README.txt
May 15, 2024 - UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset
Plain Text - 8.3 KB - MD5: 067d3506d80c4739c956c34a8ca91613
test_datasheet.csv
May 15, 2024 - UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset
Comma Separated Values - 112.5 KB - MD5: 8fdb95abd963945681e1638c998bbfe6
Comma separated table with "slide_id", "label", "img_name", and "split" columns for test subset
test_subset.zip
May 15, 2024 - UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset
ZIP Archive - 7.7 GB - MD5: b8c0a5a2b060130b52280382fa820aba
train_datasheet.csv
May 15, 2024 - UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset
Comma Separated Values - 184.4 KB - MD5: cd24266009e320e01cbcc46d1f1dbaab
Comma separated table with "slide_id", "label", "img_name", and "split" columns for train subset
train_subset.zip
May 15, 2024 - UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset
ZIP Archive - 8.4 GB - MD5: ca740a62dd31247550d2d37e4a3d6bee
Replication Data for: Learning to predict - second language perception of reduced multi-word sequences
May 14, 2024 - TROLLing
Lorenz, David; Tizón-Couto, David, 2024, "Replication Data for: Learning to predict - second language perception of reduced multi-word sequences", https://doi.org/10.18710/TE5ZOG, DataverseNO, V1
DATASET ABSTRACT This is the data and code from a word-monitoring task, in which advanced learners of English responded to the word 'to' in verb + to-infinitive structures (V-to-Vinf) in English, where 'to' could occur in a full or reduced pronunciation (e.g. "prefer to" [tʊ] or "preferda" [ɾə]). The design of this experiment is replicated from our...
00_ReadMe_LearningToPredict.txt
May 14, 2024 - Replication Data for: Learning to predict - second language perception of reduced multi-word sequences
Plain Text - 19.1 KB - MD5: d54dafbab184344886c00e8c75530546
Description of the project and the data
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.