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Publication Year: 2022

2,511 to 2,520 of 13,103 Results

Ixodes_trianguliceps_larvae.csv Apr 3, 2022 - Replication data for: Host in Reserve: the role of common shrews as a stable supplementary source of tick hosts in small mammal communitites influenced by rodent population cycles. Comma Separated Values - 3.2 KB - MD5: acda7fbe6a17c85a546dc9f783e3fb71 Ixodes_trianguliceps_larvae.csv
Ixodes_trianguliceps_nymphs.csv Apr 3, 2022 - Replication data for: Host in Reserve: the role of common shrews as a stable supplementary source of tick hosts in small mammal communitites influenced by rodent population cycles. Comma Separated Values - 3.2 KB - MD5: 29e8fab863fc223b1f3675da7a7d8cb8 Ixodes_trianguliceps_nymphs.csv
Benchmark dataset for graph classification Mar 30, 2022 - UiT The Arctic University of Norway 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. Therefore, an algorithm that relies only on the node features or on the grap...
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
Replication Data for: Photocorrosion of n- and p-Type Semiconducting Oxide Covered Metals: Case Studies of Anodized Titanium and Copper Mar 25, 2022 - NTNU – Norwegian University of Science and Technology Wilson, Håvard; Van Rooij, Arnoul; Jenewein, Ken; Knöppel, Julius; Kormányos, Attila; Cherevko, Serhiy; Sunde, Svein; Erbe, Andreas, 2022, "Replication Data for: Photocorrosion of n- and p-Type Semiconducting Oxide Covered Metals: Case Studies of Anodized Titanium and Copper", https://doi.org/10.18710/SOTK4W, DataverseNO, V1 Titanium with 10s of nm thick n-type anatase oxide films and copper with p-type cuprite oxide films have been prepared, and the photoelectrochemical contributions to the corrosion currents analysed and compared. Titanium samples were analysed in 0.5 M sulfuric acid, and copper samples in borate buffer (pH 9). This dataset contains different measure...
00_readme.txt Mar 25, 2022 - Replication Data for: Photocorrosion of n- and p-Type Semiconducting Oxide Covered Metals: Case Studies of Anodized Titanium and Copper Plain Text - 47.7 KB - MD5: ed577ac725254cc4a98866202470509f Readme file for the data package.

Ixodes_trianguliceps_larvae.csv

Apr 3, 2022 - Replication data for: Host in Reserve: the role of common shrews as a stable supplementary source of tick hosts in small mammal communitites influenced by rodent population cycles.

Comma Separated Values - 3.2 KB -

Ixodes_trianguliceps_larvae.csv

Ixodes_trianguliceps_nymphs.csv

Apr 3, 2022 - Replication data for: Host in Reserve: the role of common shrews as a stable supplementary source of tick hosts in small mammal communitites influenced by rodent population cycles.

Comma Separated Values - 3.2 KB -

Ixodes_trianguliceps_nymphs.csv

Benchmark dataset for graph classification

Mar 30, 2022 - UiT The Arctic University of Norway

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. Therefore, an algorithm that relies only on the node features or on the grap...

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 -

Replication Data for: Photocorrosion of n- and p-Type Semiconducting Oxide Covered Metals: Case Studies of Anodized Titanium and Copper

Mar 25, 2022 - NTNU – Norwegian University of Science and Technology

Wilson, Håvard; Van Rooij, Arnoul; Jenewein, Ken; Knöppel, Julius; Kormányos, Attila; Cherevko, Serhiy; Sunde, Svein; Erbe, Andreas, 2022, "Replication Data for: Photocorrosion of n- and p-Type Semiconducting Oxide Covered Metals: Case Studies of Anodized Titanium and Copper", https://doi.org/10.18710/SOTK4W, DataverseNO, V1

Titanium with 10s of nm thick n-type anatase oxide films and copper with p-type cuprite oxide films have been prepared, and the photoelectrochemical contributions to the corrosion currents analysed and compared. Titanium samples were analysed in 0.5 M sulfuric acid, and copper samples in borate buffer (pH 9). This dataset contains different measure...

00_readme.txt

Mar 25, 2022 - Replication Data for: Photocorrosion of n- and p-Type Semiconducting Oxide Covered Metals: Case Studies of Anodized Titanium and Copper

Plain Text - 47.7 KB -

Readme file for the data package.

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