UiT The Arctic University of Norway

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.

5,151 to 5,160 of 11,138 Results

plotdata.pdf Oct 8, 2024 - Data from Smoke Particle Impact Detector (SPID) rocket instrument Adobe PDF - 778.1 KB - MD5: 3c983dfc912f73d942729ec3087c47b7
SPID_data.mat Oct 8, 2024 - Data from Smoke Particle Impact Detector (SPID) rocket instrument MATLAB Data - 12.2 MB - MD5: 1125fc17fc350510d6a42080d86c31f2
SPID_data.txt Oct 8, 2024 - Data from Smoke Particle Impact Detector (SPID) rocket instrument Plain Text - 56.9 MB - MD5: b253b2f84360581bef52982273413492
Benchmark dataset for graph classification Mar 30, 2022 Bianchi, Filippo Maria, 2022, "Benchmark dataset for graph classification", https://doi.org/10.18710/TIZ9II, DataverseNO, V1 This repository contains datasets to quickly test graph classification algorithms, such as Graph Kernels and Graph Neural Networks. The purpose of this dataset is to make the features on the nodes and the adjacency matrix to be completely uninformative if considered alone. Theref...
00README.txt Mar 30, 2022 - Benchmark dataset for graph classification Plain Text - 10.7 KB - MD5: 38648d2160df71c52bdb28a70c9d193a Dataset description
easy.npz Mar 30, 2022 - Benchmark dataset for graph classification Unknown - 21.6 MB - MD5: 5746717f598a39097f7069863aa03846
easy_small.npz Mar 30, 2022 - Benchmark dataset for graph classification Unknown - 1.4 MB - MD5: 5997ea96eb62e41687f77af999fb5547
hard.npz Mar 30, 2022 - Benchmark dataset for graph classification Unknown - 16.1 MB - MD5: 641dd98f04cf4b4f5d4ba6f18a9ad189
hard_small.npz Mar 30, 2022 - Benchmark dataset for graph classification Unknown - 1.1 MB - MD5: ee8c5898da28515e6d65b39cf4f31172
Scenery photos without the frame (1981) Jan 24, 2018 - NMDC Node UiT UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (1981)", https://doi.org/10.18710/GWCLHD, DataverseNO, V1, UNF:6:uALl/QSTKQCfB4nlESJGSw== [fileUNF] Contains photographs documenting under-water scenery and fauna across Svalbard. The data base contains photographs documenting under-water scenery and fauna across Svalbard and mainland at depths from ca. 5 to 30 m at non-marked, non-revisited locations. These non-scaled photogra...

plotdata.pdf

Oct 8, 2024 - Data from Smoke Particle Impact Detector (SPID) rocket instrument

Adobe PDF - 778.1 KB -

SPID_data.mat

Oct 8, 2024 - Data from Smoke Particle Impact Detector (SPID) rocket instrument

MATLAB Data - 12.2 MB -

SPID_data.txt

Oct 8, 2024 - Data from Smoke Particle Impact Detector (SPID) rocket instrument

Plain Text - 56.9 MB -

Benchmark dataset for graph classification

Mar 30, 2022

Bianchi, Filippo Maria, 2022, "Benchmark dataset for graph classification", https://doi.org/10.18710/TIZ9II, DataverseNO, V1

This repository contains datasets to quickly test graph classification algorithms, such as Graph Kernels and Graph Neural Networks. The purpose of this dataset is to make the features on the nodes and the adjacency matrix to be completely uninformative if considered alone. Theref...

00README.txt

Mar 30, 2022 - Benchmark dataset for graph classification

Plain Text - 10.7 KB -

Dataset description

easy.npz

Mar 30, 2022 - Benchmark dataset for graph classification

Unknown - 21.6 MB -

easy_small.npz

Mar 30, 2022 - Benchmark dataset for graph classification

Unknown - 1.4 MB -

hard.npz

Mar 30, 2022 - Benchmark dataset for graph classification

Unknown - 16.1 MB -

hard_small.npz

Mar 30, 2022 - Benchmark dataset for graph classification

Unknown - 1.1 MB -

Scenery photos without the frame (1981)

Jan 24, 2018 - NMDC Node UiT

UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (1981)", https://doi.org/10.18710/GWCLHD, DataverseNO, V1, UNF:6:uALl/QSTKQCfB4nlESJGSw== [fileUNF]

Contains photographs documenting under-water scenery and fauna across Svalbard. The data base contains photographs documenting under-water scenery and fauna across Svalbard and mainland at depths from ca. 5 to 30 m at non-marked, non-revisited locations. These non-scaled photogra...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications