University of Agder

SFI Offshore Mechatronics

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11 to 20 of 22 Results

UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm Jan 7, 2022 Klausen, Andreas, 2020, "UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm", https://doi.org/10.18710/BG1QNG, DataverseNO, V2 Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see "00_ReadMe.pdf" file for more details. Update - 3 January 2022: This dataset is now updated to use floating point va...
Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening Jun 23, 2021 - SFI Offshore Mechatronics Dybedal, Joacim, 2021, "Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening", https://doi.org/10.18710/HMJVFM, DataverseNO, V2 Dataset used to train and test a human classifier in the article "CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening". The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.
UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm Mar 18, 2021 Klausen, Andreas, 2021, "UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm", https://doi.org/10.18710/NZJOIS, DataverseNO, V1 Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see "00_ReadMe.pdf" file for more details.
SFI Offshore Mechatronics(University of Agder) Sep 4, 2020 Next generation of advanced offshore mechatronic systems for autonomous operation and condition monitoring of offshore equipment and systems under the control of land-based operation centers, to ensure safe and efficient operation in deeper water and in harsh environments. The project is funded via The Centres for Research-based Innovation scheme b...
40m sprint mechanics dataset male and female athletes UiA/Olympiatoppen May 19, 2020 Haugen, Thomas; Seiler, Stephen; Felix, Breitschadel, 2020, "40m sprint mechanics dataset male and female athletes UiA/Olympiatoppen", https://doi.org/10.18710/PJONBM, DataverseNO, V1, UNF:6:oQ6Ow9Vn5v38C7gQgFhNuw== [fileUNF] This data is collected on over 600 Norwegian athletes from different sports performing 40m sprint tests under highly controlled conditions. The data was collected as part of training monitoring. The data forms the background for several published studies.
Alma implementation in Norwegian Academic libraries May 9, 2020 Johannessen, Hilde Terese Drivenes, 2017, "Alma implementation in Norwegian Academic libraries", https://doi.org/10.18710/EBH77W, DataverseNO, V2 This survey was issued anonymously to all members of staff in Norwegian academic libraries. The main target of the survey was to investigate how the implementation of the new library system Alma was experienced. The survey was issued in Norwegian. Staff in Norwegian academic libraries count for 1637 full-time equivalent. The answer rate was 499 res...
Replication Data for: Cartobike transcripts focus group interviews May 9, 2020 Bjørnarå, Helga Birgit Torgeirsdotter, 2020, "Replication Data for: Cartobike transcripts focus group interviews", https://doi.org/10.18710/D4TLO3, DataverseNO, V1 This dataset contains replication data for our journal article "Cumbersome but desirable – breaking the code of everyday cycling". The dataset includes the transcripts (one file for each transcript) from the nine focus group interviews conducted as the qualitative part of the project From cars to bikes (Cartobike). The interviews were conducted aft...
Replication Data for: Examining the effects of an eHealth intervention from infant age 6 to 12 months on child eating behaviors and maternal feeding practices one year after cessation: The Norwegian randomized controlled trial Early Food for Future Health Aug 7, 2019 Helle, Christine; Hillesund, Elisabet R.; Wills, Andrew K.; Øverby, Nina C., 2019, "Replication Data for: Examining the effects of an eHealth intervention from infant age 6 to 12 months on child eating behaviors and maternal feeding practices one year after cessation: The Norwegian randomized controlled trial Early Food for Future Health", https://doi.org/10.18710/R2KJHK, DataverseNO, V1, UNF:6:WQPClzM2xoG6B0eP7aGkBA== [fileUNF] This SPSS-dataset presents data from the Norwegian randomized controlled trial Early Food for Future Health. This project started in 2015, with the objective of developing an eHealth intervention providing guidance on protective feeding practices at child age 6-12 months aiming to promote healthy food habits from infancy. Previously, we have presen...
Replication Data for: Evaluation of an eHealth intervention aiming to promote healthy food habits from infancy - the Norwegian randomized controlled trial Early Food for Future Health Jun 25, 2019 Helle, Christine; Hillesund, Elisabet R.; Wills, Andrew K.; Øverby, Nina C., 2018, "Replication Data for: Evaluation of an eHealth intervention aiming to promote healthy food habits from infancy - the Norwegian randomized controlled trial Early Food for Future Health", https://doi.org/10.18710/LDMHDX, DataverseNO, V2, UNF:6:K1nUkjvam4fQqiZhb8tsmA== [fileUNF] This data file contains anonymous maternal and child data at child age 12 months from the Norwegian RCT Early Food for Future Health
GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters Feb 28, 2019 Baharmand, Hossein, 2019, "GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters", https://doi.org/10.18710/5DGE7C, DataverseNO, V1 These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.

UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm

Jan 7, 2022

Klausen, Andreas, 2020, "UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm", https://doi.org/10.18710/BG1QNG, DataverseNO, V2

Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see "00_ReadMe.pdf" file for more details. Update - 3 January 2022: This dataset is now updated to use floating point va...

Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening

Jun 23, 2021 - SFI Offshore Mechatronics

Dybedal, Joacim, 2021, "Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening", https://doi.org/10.18710/HMJVFM, DataverseNO, V2

Dataset used to train and test a human classifier in the article "CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening". The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.

UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm

Mar 18, 2021

Klausen, Andreas, 2021, "UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm", https://doi.org/10.18710/NZJOIS, DataverseNO, V1

Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see "00_ReadMe.pdf" file for more details.

SFI Offshore Mechatronics(University of Agder)

Sep 4, 2020

Next generation of advanced offshore mechatronic systems for autonomous operation and condition monitoring of offshore equipment and systems under the control of land-based operation centers, to ensure safe and efficient operation in deeper water and in harsh environments. The project is funded via The Centres for Research-based Innovation scheme b...

40m sprint mechanics dataset male and female athletes UiA/Olympiatoppen

May 19, 2020

Haugen, Thomas; Seiler, Stephen; Felix, Breitschadel, 2020, "40m sprint mechanics dataset male and female athletes UiA/Olympiatoppen", https://doi.org/10.18710/PJONBM, DataverseNO, V1, UNF:6:oQ6Ow9Vn5v38C7gQgFhNuw== [fileUNF]

This data is collected on over 600 Norwegian athletes from different sports performing 40m sprint tests under highly controlled conditions. The data was collected as part of training monitoring. The data forms the background for several published studies.

Alma implementation in Norwegian Academic libraries

May 9, 2020

Johannessen, Hilde Terese Drivenes, 2017, "Alma implementation in Norwegian Academic libraries", https://doi.org/10.18710/EBH77W, DataverseNO, V2

This survey was issued anonymously to all members of staff in Norwegian academic libraries. The main target of the survey was to investigate how the implementation of the new library system Alma was experienced. The survey was issued in Norwegian. Staff in Norwegian academic libraries count for 1637 full-time equivalent. The answer rate was 499 res...

Replication Data for: Cartobike transcripts focus group interviews

May 9, 2020

Bjørnarå, Helga Birgit Torgeirsdotter, 2020, "Replication Data for: Cartobike transcripts focus group interviews", https://doi.org/10.18710/D4TLO3, DataverseNO, V1

This dataset contains replication data for our journal article "Cumbersome but desirable – breaking the code of everyday cycling". The dataset includes the transcripts (one file for each transcript) from the nine focus group interviews conducted as the qualitative part of the project From cars to bikes (Cartobike). The interviews were conducted aft...

Replication Data for: Examining the effects of an eHealth intervention from infant age 6 to 12 months on child eating behaviors and maternal feeding practices one year after cessation: The Norwegian randomized controlled trial Early Food for Future Health

Aug 7, 2019

Helle, Christine; Hillesund, Elisabet R.; Wills, Andrew K.; Øverby, Nina C., 2019, "Replication Data for: Examining the effects of an eHealth intervention from infant age 6 to 12 months on child eating behaviors and maternal feeding practices one year after cessation: The Norwegian randomized controlled trial Early Food for Future Health", https://doi.org/10.18710/R2KJHK, DataverseNO, V1, UNF:6:WQPClzM2xoG6B0eP7aGkBA== [fileUNF]

This SPSS-dataset presents data from the Norwegian randomized controlled trial Early Food for Future Health. This project started in 2015, with the objective of developing an eHealth intervention providing guidance on protective feeding practices at child age 6-12 months aiming to promote healthy food habits from infancy. Previously, we have presen...

Replication Data for: Evaluation of an eHealth intervention aiming to promote healthy food habits from infancy - the Norwegian randomized controlled trial Early Food for Future Health

Jun 25, 2019

Helle, Christine; Hillesund, Elisabet R.; Wills, Andrew K.; Øverby, Nina C., 2018, "Replication Data for: Evaluation of an eHealth intervention aiming to promote healthy food habits from infancy - the Norwegian randomized controlled trial Early Food for Future Health", https://doi.org/10.18710/LDMHDX, DataverseNO, V2, UNF:6:K1nUkjvam4fQqiZhb8tsmA== [fileUNF]

This data file contains anonymous maternal and child data at child age 12 months from the Norwegian RCT Early Food for Future Health

GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters

Feb 28, 2019

Baharmand, Hossein, 2019, "GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters", https://doi.org/10.18710/5DGE7C, DataverseNO, V1

These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.

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