Automated Author Profile

Oertel, Catharine

Current S-Index

4.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

9

Total datasets for this author

Average FAIR Score

66.2%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Dataset: A Music Recommender System for Constructed Music Evoked Episodic Memories (CMEEMs)- non-personal data (Version: 1)

This dataset contains data collected during an experiment at Delft University of Technology, as part of Paul Raingeard de la Bletiere PhD Thesis project.It is being made public both to act as supplementary data for publications and the PhD thesis of Paul Raingeard de la Bletiere and in order for other researchers to use this data in their own work.The data in this dataset was collected through a website accessed by participants between August 2024 and December 2024.This research project was made possible by a grant from the Dutch Research Council (NWO) (Grant Number KICH1.GZ02.20.008). Additional support from Alzheimer Nederland is gratefully acknowledged.The purpose of this experiment was to test a music recommender system linking music with specific episodic memories chosen by participants, through a discussion with a virtual agent. This specific part of the data relates to the ratings of recommendations by participants.

Authors

  • Raingeard de la Blétière, Paul ;
  • Neerincx, M.A. (Mark) ;
  • Schaefer, Rebecca ;
  • Oertel, Catharine
0 Citations0 Mentions73% FAIR0.4 Dataset Index
10.4121/39b8137d-301e-4fa2-817f-bbd4b791ea30.v12025

Dataset: A Music Recommender System for Constructed Music Evoked Episodic Memories (CMEEMs)- personal data (Version: 1)

This dataset contains data collected during an experiment at Delft University of Technology, as part of Paul Raingeard de la Bletiere PhD Thesis project.It is being made public both to act as supplementary data for publications and the PhD thesis of Paul Raingeard de la Bletiere and in order for other researchers to use this data in their own work.The data in this dataset was collected through a website accessed by participants between August 2024 and December 2024.This research project was made possible by a grant from the Dutch Research Council (NWO) (Grant Number KICH1.GZ02.20.008). Additional support from Alzheimer Nederland is gratefully acknowledged.The purpose of this experiment was to test a music recommender system linking music with specific episodic memories chosen by participants, through a discussion with a virtual agent. This specific part of the data relates to the discussion logs with this agent, the chosen memories, as well as the demographic data filled by participants.

Authors

  • Raingeard de la Blétière, Paul ;
  • Neerincx, M.A. (Mark) ;
  • Schaefer, Rebecca ;
  • Oertel, Catharine
0 Citations0 Mentions58% FAIR0.3 Dataset Index
10.4121/6d820fc9-efcf-4bc8-9fa1-b575e0264f3f2025

Dataset: A Music Recommender System for Constructed Music Evoked Episodic Memories (CMEEMs)- non-personal data (Version: 1)

This dataset contains data collected during an experiment at Delft University of Technology, as part of Paul Raingeard de la Bletiere PhD Thesis project.It is being made public both to act as supplementary data for publications and the PhD thesis of Paul Raingeard de la Bletiere and in order for other researchers to use this data in their own work.The data in this dataset was collected through a website accessed by participants between August 2024 and December 2024.This research project was made possible by a grant from the Dutch Research Council (NWO) (Grant Number KICH1.GZ02.20.008). Additional support from Alzheimer Nederland is gratefully acknowledged.The purpose of this experiment was to test a music recommender system linking music with specific episodic memories chosen by participants, through a discussion with a virtual agent. This specific part of the data relates to the ratings of recommendations by participants.

Authors

  • Raingeard de la Blétière, Paul ;
  • Neerincx, M.A. (Mark) ;
  • Schaefer, Rebecca ;
  • Oertel, Catharine
0 Citations0 Mentions73% FAIR0.4 Dataset Index
10.4121/39b8137d-301e-4fa2-817f-bbd4b791ea302025

Dataset: A Music Recommender System for Constructed Music Evoked Episodic Memories (CMEEMs)- personal data (Version: 1)

This dataset contains data collected during an experiment at Delft University of Technology, as part of Paul Raingeard de la Bletiere PhD Thesis project.It is being made public both to act as supplementary data for publications and the PhD thesis of Paul Raingeard de la Bletiere and in order for other researchers to use this data in their own work.The data in this dataset was collected through a website accessed by participants between August 2024 and December 2024.This research project was made possible by a grant from the Dutch Research Council (NWO) (Grant Number KICH1.GZ02.20.008). Additional support from Alzheimer Nederland is gratefully acknowledged.The purpose of this experiment was to test a music recommender system linking music with specific episodic memories chosen by participants, through a discussion with a virtual agent. This specific part of the data relates to the discussion logs with this agent, the chosen memories, as well as the demographic data filled by participants.

Authors

  • Raingeard de la Blétière, Paul ;
  • Neerincx, M.A. (Mark) ;
  • Schaefer, Rebecca ;
  • Oertel, Catharine
0 Citations0 Mentions58% FAIR0.3 Dataset Index
10.4121/6d820fc9-efcf-4bc8-9fa1-b575e0264f3f.v12025

Coded Dataset of a Literature Review on Learning Sequence Analysis (Version: 2)

Coded dataset of a literature review on the use of sequential analysis in learning analytics and educational data mining research. The analysis was performed on 74 publications from 2010 to 2023, obtained from queries on SCOPUS and Web of Science. The literature review contains detailed information about the search terms, inclusion rules, and coding categories (to be published in late March during the LAK24 conference, pre-print available upon request).
The worksheet named 'ArticlesByCategoty' contains the data that coded from the articles, and then used in the analysis and interpretation of the literature review. The 'QueryResults' worksheet contains the articles that resulted from the database queries.

Authors

  • Valle Torre, Manuel ;
  • Specht, Marcus ;
  • Oertel, Catharine
0 Citations0 Mentions73% FAIR0.6 Dataset Index
10.4121/10fc3a10-37aa-4292-818d-468b940b2bb7.v22023

Coded Dataset of a Literature Review on Learning Sequence Analysis (Version: 2)

Coded dataset of a literature review on the use of sequential analysis in learning analytics and educational data mining research. The analysis was performed on 74 publications from 2010 to 2023, obtained from queries on SCOPUS and Web of Science. The literature review contains detailed information about the search terms, inclusion rules, and coding categories (to be published in late March during the LAK24 conference, pre-print available upon request).
The worksheet named 'ArticlesByCategoty' contains the data that coded from the articles, and then used in the analysis and interpretation of the literature review. The 'QueryResults' worksheet contains the articles that resulted from the database queries.

Authors

  • Valle Torre, Manuel ;
  • Specht, Marcus ;
  • Oertel, Catharine
1 Citation0 Mentions73% FAIR1.0 Dataset Index
10.4121/10fc3a10-37aa-4292-818d-468b940b2bb72023

Memorable moments and eye gaze state during cHRI, audio recordings and transcriptions of post-interaction interviews (Version: 1)

The dataset contains children's eye gaze behaviour during child-robot interactions with a NAO robot, in the form of text files describing the gaze state per video frame, as well as audio recordings and transcriptions to text of post-child-robot-interaction interviews between researcher and child. Information gained from the post-interaction interviews is used to partition and label the gaze states into a (final) machine-readable dataset.

Authors

  • Nikkels, Lucile ;
  • Oertel, Catharine ;
  • Neerincx, Mark A. ;
  • Burger, Franziska
0 Citations0 Mentions58% FAIR0.3 Dataset Index
10.4121/583cece5-be22-4348-9c33-7149e6007bed.v12023

Memorable moments and eye gaze state during cHRI, audio recordings and transcriptions of post-interaction interviews (Version: 1)

The dataset contains children's eye gaze behaviour during child-robot interactions with a NAO robot, in the form of text files describing the gaze state per video frame, as well as audio recordings and transcriptions to text of post-child-robot-interaction interviews between researcher and child. Information gained from the post-interaction interviews is used to partition and label the gaze states into a (final) machine-readable dataset.

Authors

  • Nikkels, Lucile ;
  • Oertel, Catharine ;
  • Neerincx, Mark A. ;
  • Burger, Franziska
0 Citations0 Mentions58% FAIR0.3 Dataset Index
10.4121/583cece5-be22-4348-9c33-7149e6007bed2023

Coded Dataset of a Literature Review on Learning Sequence Analysis (Version: 1)

Coded dataset of a literature review on the use of sequential analysis in learning analytics and educational data mining research. The analysis was performed on 44 publications from 2006 to 2022, obtained from queries on SCOPUS and Web of Science. Visit the literature review for detailed information about the search terms, inclusion rules, and coding categories.
The worksheet named 'Finished' contains the data that resulted in the analysis and interpretation of the literature review, while the 'Raw' worksheet contains the information as it was extracted from Atlas.ti, where it was originally coded.

Authors

  • Valle Torre, Manuel ;
  • Specht, Marcus ;
  • Oertel, Catharine
0 Citations0 Mentions73% FAIR0.6 Dataset Index
10.4121/10fc3a10-37aa-4292-818d-468b940b2bb7.v12023