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4,611 to 4,620 of 11,652 Results

Replication data for: Do we choose differently after a discussion? Jun 7, 2019 Aanesen, Margrethe, 2019, "Replication data for: Do we choose differently after a discussion?", https://doi.org/10.18710/XG6CYW, DataverseNO, V2, UNF:6:as+Ai3+NsC9FHXaUL0sJ/Q== [fileUNF] The data is collected through 7 valuation workshops implemented in 7 Irish municipalities during autumn 2014. The workshops encompassed several steps; first the participants were informed about cold-water coral (CWC), next they individually filled in a survey including a quiz on CWC and 12 choice cards, then they were divided into small groups and...
01_ReadMe_Irish_CWC_survey.txt Jun 7, 2019 - Replication data for: Do we choose differently after a discussion? Plain Text - 6.1 KB - MD5: f86e5f539800450950eac4efe93adcff
02_Questionnaire_Irish_CWC_survey.pdf Apr 24, 2019 - Replication data for: Do we choose differently after a discussion? Adobe PDF - 1.0 MB - MD5: f5c905eafd158cb9b0373cc32b527ad8
Irish_Pooled_Data.tab Apr 24, 2019 - Replication data for: Do we choose differently after a discussion? Tabular Data - 295.9 KB - 1 Variables, 3336 Observations - UNF:6:as+Ai3+NsC9FHXaUL0sJ/Q==
Irish_Pooled_Data.txt Jun 7, 2019 - Replication data for: Do we choose differently after a discussion? Plain Text - 292.8 KB - MD5: 31ec0d3e80624db060d69650ad230a71
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. 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

Replication data for: Do we choose differently after a discussion?

Jun 7, 2019

Aanesen, Margrethe, 2019, "Replication data for: Do we choose differently after a discussion?", https://doi.org/10.18710/XG6CYW, DataverseNO, V2, UNF:6:as+Ai3+NsC9FHXaUL0sJ/Q== [fileUNF]

The data is collected through 7 valuation workshops implemented in 7 Irish municipalities during autumn 2014. The workshops encompassed several steps; first the participants were informed about cold-water coral (CWC), next they individually filled in a survey including a quiz on CWC and 12 choice cards, then they were divided into small groups and...

01_ReadMe_Irish_CWC_survey.txt

Jun 7, 2019 - Replication data for: Do we choose differently after a discussion?

Plain Text - 6.1 KB -

02_Questionnaire_Irish_CWC_survey.pdf

Apr 24, 2019 - Replication data for: Do we choose differently after a discussion?

Adobe PDF - 1.0 MB -

Irish_Pooled_Data.tab

Apr 24, 2019 - Replication data for: Do we choose differently after a discussion?

Tabular Data - 295.9 KB - 1 Variables, 3336 Observations -

Irish_Pooled_Data.txt

Jun 7, 2019 - Replication data for: Do we choose differently after a discussion?

Plain Text - 292.8 KB -

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. 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 -

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