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4,781 to 4,790 of 11,652 Results

03_Tredje_Fase_1651_1662.pdf Jun 5, 2019 - Rettsforfulgte trollfolk i Finnmark, 1593-1692 Adobe PDF - 549.1 KB - MD5: fb6856d67bdb58dc55785152511e125f
04_Fjerde_Fase_1662_1663.pdf Jun 5, 2019 - Rettsforfulgte trollfolk i Finnmark, 1593-1692 Adobe PDF - 572.7 KB - MD5: 8ac68445b73a9e163b572d4e84f6f4cc
05_Femte_Fase_1670_1692_Avslutningsfasen.pdf Jun 5, 2019 - Rettsforfulgte trollfolk i Finnmark, 1593-1692 Adobe PDF - 433.4 KB - MD5: f6e8f361acdd35182af4763fc648c638
Replication data for: User expectations and willingsness to share self-collected health Apr 3, 2020 Henriksen, André; Woldaregay, Ashenafi Zebene; Issom, David-Zacharie; Pfuhl, Gerit; Richard, Aude; Årsand, Eirik; Sato, Keiichi; Hartvigsen, Gunnar; Rochat, Jessica, 2019, "Replication data for: User expectations and willingsness to share self-collected health", https://doi.org/10.18710/28SRMJ, DataverseNO, V2, UNF:6:n0cjZA3X6VyQdVUJnYXoDg== [fileUNF] This is a questionnaire used in a project where the aim was to understand what motivates people to share self-collected health data, collected by mobile wearables and sensors.
00_ReadMe.txt Apr 3, 2020 - Replication data for: User expectations and willingsness to share self-collected health Plain Text - 496 B - MD5: 75cb4e51b257981de7ed49f9f729b842
questionnaire-1.pdf Apr 3, 2020 - Replication data for: User expectations and willingsness to share self-collected health Adobe PDF - 179.6 KB - MD5: ae5a78534f43f29ac76409df596544a4 Questionnaire
questionnaire.pdf Sep 25, 2019 - Replication data for: User expectations and willingsness to share self-collected health Adobe PDF - 701.4 KB - MD5: 472577030453892dcdf187ff43524e1d Questionnaire
Responses-1.tab Apr 3, 2020 - Replication data for: User expectations and willingsness to share self-collected health Tabular Data - 51.3 KB - 31 Variables, 446 Observations - UNF:6:ChVIuTGMhUp1+QwFhBGo2w== SPSS
Responses.tab Apr 3, 2020 - Replication data for: User expectations and willingsness to share self-collected health Tabular Data - 66.0 KB - 31 Variables, 446 Observations - UNF:6:ChVIuTGMhUp1+QwFhBGo2w== Excel
Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis Jul 23, 2020 Khaleghian, Salman; Lohse, Johannes Philipp; Kræmer, Thomas, 2020, "Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis", https://doi.org/10.18710/QAYI4O, DataverseNO, V1 This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, call...

03_Tredje_Fase_1651_1662.pdf

Jun 5, 2019 - Rettsforfulgte trollfolk i Finnmark, 1593-1692

Adobe PDF - 549.1 KB -

04_Fjerde_Fase_1662_1663.pdf

Jun 5, 2019 - Rettsforfulgte trollfolk i Finnmark, 1593-1692

Adobe PDF - 572.7 KB -

05_Femte_Fase_1670_1692_Avslutningsfasen.pdf

Jun 5, 2019 - Rettsforfulgte trollfolk i Finnmark, 1593-1692

Adobe PDF - 433.4 KB -

Replication data for: User expectations and willingsness to share self-collected health

Apr 3, 2020

Henriksen, André; Woldaregay, Ashenafi Zebene; Issom, David-Zacharie; Pfuhl, Gerit; Richard, Aude; Årsand, Eirik; Sato, Keiichi; Hartvigsen, Gunnar; Rochat, Jessica, 2019, "Replication data for: User expectations and willingsness to share self-collected health", https://doi.org/10.18710/28SRMJ, DataverseNO, V2, UNF:6:n0cjZA3X6VyQdVUJnYXoDg== [fileUNF]

This is a questionnaire used in a project where the aim was to understand what motivates people to share self-collected health data, collected by mobile wearables and sensors.

00_ReadMe.txt

Apr 3, 2020 - Replication data for: User expectations and willingsness to share self-collected health

Plain Text - 496 B -

questionnaire-1.pdf

Apr 3, 2020 - Replication data for: User expectations and willingsness to share self-collected health

Adobe PDF - 179.6 KB -

Questionnaire

questionnaire.pdf

Sep 25, 2019 - Replication data for: User expectations and willingsness to share self-collected health

Adobe PDF - 701.4 KB -

Questionnaire

Responses-1.tab

Apr 3, 2020 - Replication data for: User expectations and willingsness to share self-collected health

Tabular Data - 51.3 KB - 31 Variables, 446 Observations -

SPSS

Responses.tab

Apr 3, 2020 - Replication data for: User expectations and willingsness to share self-collected health

Tabular Data - 66.0 KB - 31 Variables, 446 Observations -

Excel

Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis

Jul 23, 2020

Khaleghian, Salman; Lohse, Johannes Philipp; Kræmer, Thomas, 2020, "Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis", https://doi.org/10.18710/QAYI4O, DataverseNO, V1

This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, call...

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