The HBN-EEG Dataset

This is Release 6 of HBN-EEG, the EEG and (soon-released) Eye-Tracking Section of the Child Mind Network Healthy Brain Network (HBN) Project, curated into the Brain Imaging Data Structure (BIDS) format. This dataset is part of a larger initiative to advance the understanding of child and adolescent mental health through collecting and analyzing neuroimaging, behavioral, and genetic data (Alexander et al., Sci Data 2017).

Data Description

This dataset comprises electroencephalogram (EEG) data and behavioral responses collected during EEG experiments from >3000 participants (5-21 yo) involved in the HBN project. The data has been released in 11 separate Releases, each containing data from a different set of participants.

Tasks

The HBN-EEG dataset includes EEG recordings from participants performing six distinct tasks, which are categorized into passive and active tasks based on the presence of user input and interaction in the experiment.

Passive Tasks

1. Resting State: Participants rested with their heads on a chin rest, following instructions to open or close their eyes and fixate on a central cross.

2. Surround Suppression: Participants viewed flashing peripheral disks with contrasting backgrounds, while event markers and conditions were recorded.

3. Movie Watching: Participants watched four short movies with different themes, with event markers recording the start and stop times of presentations.

Active Tasks

1. Contrast Change Detection: Participants identified flickering disks with dominant contrast changes and received feedback based on their responses.

2. Sequence Learning: Participants memorized and repeated sequences of flashed circles on the screen, designed for different age groups.

3. Symbol Search: Participants performed a computerized symbol search task, identifying target symbols from rows of search symbols.

Contents

• EEG Data: High-resolution EEG recordings capture a wide range of neural activity during various tasks.
• Behavioral Responses: Participant responses during EEG tasks, including reaction times and accuracy. This data was originally recorded within the behavior directory of the HBN data. The data is now included with the EEG data within the events.tsv files.

Special Features

• Hierarchical Event Descriptors (HED): Events, including the original EEG events and the included behavioral events, have clear explanations, including proper HED annotation suitable for systematic meta and mega analysis of the data.
• P-Factor, Attention, Internalization and Externalization: Derived from the CBCL questionnaire, these factors provide valuable insights into the psychopathology of the participants, adding a rich layer of interpretation to the EEG and behavioral data.
• Data quality and availability: We performed minimal quality control to ensure that the data was not corrupted, each task had its necessary events, and was ready for preprocessing. The results of this quality control are available in the participants.tsv file.
• Future Releases: We are committed to enhancing this dataset with additional, valuable features in its next stages, including:
  • Personalized EEG Electrode Locations: To offer more detailed insights into individual neural activity patterns.
  • Personalized Lead Field Matrix: Enabling better understanding and interpretation of EEG data.
  • Eye-Tracking Data: Providing a window into the visual attention and processing mechanisms during EEG experiments.

Other HBN-EEG Datasets

For access all releases of the HBN-EEG dataset, follow this link on NEMAR.org. The links to the individual releases are below:

Release 1 | DS005505

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R1
• Total subjects: 136

Release 2 | DS005506

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R2
• Total subjects: 152

Release 3 | DS005507

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R3
• Total subjects: 183

Release 4 | DS005508

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R4
• Total subjects: 324

Release 5 | DS005509

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R5
• Total subjects: 330

Release 6 | DS05510

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R6
• Total subjects: 134

Release 7 | DS005511

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R7
• Total subjects: 381

Release 8 | DS005512

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R8
• Total subjects: 257

Release 9 | DS005514

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R9
• Total subjects: 295

Release 10 | DS005515

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R10
• Total subjects: 533

Release 11 | DS005516

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R11
• Total subjects: 430

Release NC | --NOT FOR COMMERCIAL USE-- This dataset is intended for research purposes only under the CC-BY-NC-SA-4.0 License and is not currently hosted on OpenNeuro/NEMAR. Any commercial use is prohibited.

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_NC
• Total subjects: 458

Copyright and License

The HBN-EEG dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY SA 4.0), except for the Not-for-Commercial-Use dataset. Please cite the dataset paper (https://doi.org/10.1101/2024.10.03.615261) as well as the original HBN publication (https://dx.doi.org/10.1038/sdata.2017.181).

Acknowledgments

We would like to express our gratitude to all participants and their families, whose contributions have made this project possible. We also thank our dedicated team of researchers and clinicians for their efforts in collecting, processing, and curating this data.

The HBN-EEG Dataset

This is Release 10 of HBN-EEG, the EEG and (soon-released) Eye-Tracking Section of the Child Mind Network Healthy Brain Network (HBN) Project, curated into the Brain Imaging Data Structure (BIDS) format. This dataset is part of a larger initiative to advance the understanding of child and adolescent mental health through collecting and analyzing neuroimaging, behavioral, and genetic data (Alexander et al., Sci Data 2017).

Data Description

This dataset comprises electroencephalogram (EEG) data and behavioral responses collected during EEG experiments from >3000 participants (5-21 yo) involved in the HBN project. The data has been released in 11 separate Releases, each containing data from a different set of participants.

Tasks

The HBN-EEG dataset includes EEG recordings from participants performing six distinct tasks, which are categorized into passive and active tasks based on the presence of user input and interaction in the experiment.

Passive Tasks

1. Resting State: Participants rested with their heads on a chin rest, following instructions to open or close their eyes and fixate on a central cross.

2. Surround Suppression: Participants viewed flashing peripheral disks with contrasting backgrounds, while event markers and conditions were recorded.

3. Movie Watching: Participants watched four short movies with different themes, with event markers recording the start and stop times of presentations.

Active Tasks

1. Contrast Change Detection: Participants identified flickering disks with dominant contrast changes and received feedback based on their responses.

2. Sequence Learning: Participants memorized and repeated sequences of flashed circles on the screen, designed for different age groups.

3. Symbol Search: Participants performed a computerized symbol search task, identifying target symbols from rows of search symbols.

Contents

• EEG Data: High-resolution EEG recordings capture a wide range of neural activity during various tasks.
• Behavioral Responses: Participant responses during EEG tasks, including reaction times and accuracy. This data was originally recorded within the behavior directory of the HBN data. The data is now included with the EEG data within the events.tsv files.

Special Features

• Hierarchical Event Descriptors (HED): Events, including the original EEG events and the included behavioral events, have clear explanations, including proper HED annotation suitable for systematic meta and mega analysis of the data.
• P-Factor, Attention, Internalization and Externalization: Derived from the CBCL questionnaire, these factors provide valuable insights into the psychopathology of the participants, adding a rich layer of interpretation to the EEG and behavioral data.
• Data quality and availability: We performed minimal quality control to ensure that the data was not corrupted, each task had its necessary events, and was ready for preprocessing. The results of this quality control are available in the participants.tsv file.
• Future Releases: We are committed to enhancing this dataset with additional, valuable features in its next stages, including:
  • Personalized EEG Electrode Locations: To offer more detailed insights into individual neural activity patterns.
  • Personalized Lead Field Matrix: Enabling better understanding and interpretation of EEG data.
  • Eye-Tracking Data: Providing a window into the visual attention and processing mechanisms during EEG experiments.

Other HBN-EEG Datasets

For access all releases of the HBN-EEG dataset, follow this link on NEMAR.org. The links to the individual releases are below:

Release 1 | DS005505

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R1
• Total subjects: 136

Release 2 | DS005506

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R2
• Total subjects: 152

Release 3 | DS005507

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R3
• Total subjects: 183

Release 4 | DS005508

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R4
• Total subjects: 324

Release 5 | DS005509

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R5
• Total subjects: 330

Release 6 | DS05510

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R6
• Total subjects: 134

Release 7 | DS005511

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R7
• Total subjects: 381

Release 8 | DS005512

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R8
• Total subjects: 257

Release 9 | DS005514

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R9
• Total subjects: 295

Release 10 | DS005515

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R10
• Total subjects: 533

Release 11 | DS005516

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R11
• Total subjects: 430

Release NC | --NOT FOR COMMERCIAL USE-- This dataset is intended for research purposes only under the CC-BY-NC-SA-4.0 License and is not currently hosted on OpenNeuro/NEMAR. Any commercial use is prohibited.

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_NC
• Total subjects: 458

Copyright and License

The HBN-EEG dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY SA 4.0), except for the Not-for-Commercial-Use dataset. Please cite the dataset paper (https://doi.org/10.1101/2024.10.03.615261) as well as the original HBN publication (https://dx.doi.org/10.1038/sdata.2017.181).

Acknowledgments

We would like to express our gratitude to all participants and their families, whose contributions have made this project possible. We also thank our dedicated team of researchers and clinicians for their efforts in collecting, processing, and curating this data.

The HBN-EEG Dataset

This is Release 11 of HBN-EEG, the EEG and (soon-released) Eye-Tracking Section of the Child Mind Network Healthy Brain Network (HBN) Project, curated into the Brain Imaging Data Structure (BIDS) format. This dataset is part of a larger initiative to advance the understanding of child and adolescent mental health through collecting and analyzing neuroimaging, behavioral, and genetic data (Alexander et al., Sci Data 2017).

Data Description

This dataset comprises electroencephalogram (EEG) data and behavioral responses collected during EEG experiments from >3000 participants (5-21 yo) involved in the HBN project. The data has been released in 11 separate Releases, each containing data from a different set of participants.

Tasks

The HBN-EEG dataset includes EEG recordings from participants performing six distinct tasks, which are categorized into passive and active tasks based on the presence of user input and interaction in the experiment.

Passive Tasks

1. Resting State: Participants rested with their heads on a chin rest, following instructions to open or close their eyes and fixate on a central cross.

2. Surround Suppression: Participants viewed flashing peripheral disks with contrasting backgrounds, while event markers and conditions were recorded.

3. Movie Watching: Participants watched four short movies with different themes, with event markers recording the start and stop times of presentations.

Active Tasks

1. Contrast Change Detection: Participants identified flickering disks with dominant contrast changes and received feedback based on their responses.

2. Sequence Learning: Participants memorized and repeated sequences of flashed circles on the screen, designed for different age groups.

3. Symbol Search: Participants performed a computerized symbol search task, identifying target symbols from rows of search symbols.

Contents

• EEG Data: High-resolution EEG recordings capture a wide range of neural activity during various tasks.
• Behavioral Responses: Participant responses during EEG tasks, including reaction times and accuracy. This data was originally recorded within the behavior directory of the HBN data. The data is now included with the EEG data within the events.tsv files.

Special Features

• Hierarchical Event Descriptors (HED): Events, including the original EEG events and the included behavioral events, have clear explanations, including proper HED annotation suitable for systematic meta and mega analysis of the data.
• P-Factor, Attention, Internalization and Externalization: Derived from the CBCL questionnaire, these factors provide valuable insights into the psychopathology of the participants, adding a rich layer of interpretation to the EEG and behavioral data.
• Data quality and availability: We performed minimal quality control to ensure that the data was not corrupted, each task had its necessary events, and was ready for preprocessing. The results of this quality control are available in the participants.tsv file.
• Future Releases: We are committed to enhancing this dataset with additional, valuable features in its next stages, including:
  • Personalized EEG Electrode Locations: To offer more detailed insights into individual neural activity patterns.
  • Personalized Lead Field Matrix: Enabling better understanding and interpretation of EEG data.
  • Eye-Tracking Data: Providing a window into the visual attention and processing mechanisms during EEG experiments.

Other HBN-EEG Datasets

For access all releases of the HBN-EEG dataset, follow this link on NEMAR.org. The links to the individual releases are below:

Release 1 | DS005505

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R1
• Total subjects: 136

Release 2 | DS005506

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R2
• Total subjects: 152

Release 3 | DS005507

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R3
• Total subjects: 183

Release 4 | DS005508

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R4
• Total subjects: 324

Release 5 | DS005509

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R5
• Total subjects: 330

Release 6 | DS05510

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R6
• Total subjects: 134

Release 7 | DS005511

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R7
• Total subjects: 381

Release 8 | DS005512

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R8
• Total subjects: 257

Release 9 | DS005514

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R9
• Total subjects: 295

Release 10 | DS005515

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R10
• Total subjects: 533

Release 11 | DS005516

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R11
• Total subjects: 430

Release NC | --NOT FOR COMMERCIAL USE-- This dataset is intended for research purposes only under the CC-BY-NC-SA-4.0 License and is not currently hosted on OpenNeuro/NEMAR. Any commercial use is prohibited.

• S3 URI: s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_NC
• Total subjects: 458

Copyright and License

The HBN-EEG dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY SA 4.0), except for the Not-for-Commercial-Use dataset. Please cite the dataset paper (https://doi.org/10.1101/2024.10.03.615261) as well as the original HBN publication (https://dx.doi.org/10.1038/sdata.2017.181).

Acknowledgments

We would like to express our gratitude to all participants and their families, whose contributions have made this project possible. We also thank our dedicated team of researchers and clinicians for their efforts in collecting, processing, and curating this data.

Embark on a captivating exploration of Neymar, the revered Brazilian football sensation, with this meticulously curated dataset. Derived from a diverse array of dialogues between users and an interactive chatbot, this dataset provides an immersive journey into Neymar's multifaceted world, sourced directly from the wealth of information available on Wikipedia (https://en.wikipedia.org/wiki/Neymar) .

Delve into the intricacies of Neymar's illustrious career, from his groundbreaking exploits on the football field to his profound impact beyond it. Each conversation within this dataset offers a nuanced glimpse into Neymar's professional milestones, statistical feats, and personal anecdotes, carefully selected and distilled from the extensive discourse surrounding his life and legacy.

This dataset is well-suited for Natural Language Processing (NLP) tasks and deep learning applications. With its rich collection of conversational data, it provides an ideal resource for training NLP models, exploring sentiment analysis, question answering systems, and other advanced deep learning techniques.

Whether you're a passionate football aficionado, a data enthusiast, or simply curious about Neymar's remarkable journey, this dataset promises to ignite your imagination and deepen your appreciation for one of football's most iconic figures.

License: Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)

The aim of this study is to draw up a tool to identify the needs detected by the Mixed Ability Rugby environment for its promotion as a means of inclusion of people with disabilities in sport and in the community. The Delphi method is used for the development and validation of the tool. A coordinating group is formed, made up of 5 people (2 linked to the university and 3 specialists in Mixed Ability Rugby), and a group of experts in which 17 professionals in processes of inclusion, sport and disability from Spain, Chile and Ecuador participated. The coordinating group drafts the questionnaire and identifies the groups within the agents involved in the Mixed Ability Rugby environment to whom the questionnaire is addressed: players with and without disabilities, family members/personal assistants/support persons or legal representatives of players, coaching and support staff of clubs, and referees. Three consultation rounds with experts are carried out to determine the final structure and content of the questionnaire. As a result, the Q-NeMAR questionnaire is obtained, which will show the needs detected by these agents to promote Mixed Ability Rugby. This will enable the development of strategies and policies to improve its visibility in order to create opportunities for inclusion of all people in sport.

Modified Sternberg Working Memory Experiment

Project name: EEG and working memory

Years the project ran: 2004-05

Brief overview of experiment task: The purpose of this Modified Sternberg task study was to explore source-resolved EEG brain dynamics associated with selectively committing a series of letters to memory, then after a brief maintenance period responding by button press either yes or no to the question of whether a presented query letter had been in the just-presented set of to-be-memorized letters.

The task is a modified version of the classic Sternberg working memory task, with two added features: (1) interspersing the sequence of presented (black) letters to be memorized with (green) letters to be ignored, and (2) delivering auditory feedback on each trial as to the correctness of the participant response (beep = correct, buzz = incorrect).

Data collection: Scalp EEG data were collected from 71 scalp electrode channels, each referred to a right mastoid electrode, at a sampling rate of 250 Hz/channel within an analog passband of 0.1 to 100 Hz.

**Contact person: Julie Onton julieonton@gmail.com, ORCID#:0000-0002-5602-3557.

Access information: Contributed to OpenNeuro.org and NEMAR.org in BIDS format following annotation using HED 8.0.0 in April, 2022.

Independent variables: Letter category (to_memorize, to_ignore); numbers of presented letters to_memorize/to_ignore (3/5, 5/3, 7/1); probe letter category (in/not in the presented set). Note, only letters to be memorized appear as in set probe letters.

Dependent variables: EEG; button press response latency; participant response (correct/incorrect).

Participant pool: The dataset includes data collected from 23 healthy young adult subjects (7 male, 6 female, 11 unidentified) between the ages of 19 and 40 years of age.

Apparatus: A Neurobehavioral Systems, Inc. EEG system running under Window98 acquired the data. The experiment control program was Presentation (Neurobehavioral Systems, Inc.).

Initial setup: EEG data were collected from 71 channels (69 scalp and two periocular electrodes, all referred to right mastoid) with an analog pass band of 0.01 to 100 Hz (SA Instrumentation, San Diego). Input impedances were brought under 5 kOhms by careful scalp preparation.

Data for subjects 1-12 was acquired at a sampling rate of 250Hz. The data for subject 14 was acquired at 1000 Hz and the data for subjects 15-24 was a acquired using a 500 Hz sampling rate.

Task organization: Data was organized into runs of 25 trials each followed by a rest. Each block was a separate run in the BIDS dataset.

Task details: Each trial consisted of the following sequence of events:

[Trial initiation]. After a self-selected, variable delay, the subject initiated the next trial by pressing either response button, triggering the reappearance of the fixation cross.

[Letter sequence presentation]. In these experiments, following a 5s presentation of a central fixation cross cue, a series of 8 visual letters (~2 deg of visual angle) were presented at screen center for 1.2s followed by a 0.2s ISI:

• Either 3, 5, or 7 of these were colored black.
• The participant was to memorize as letters in this set.
• The other 5, 3, or 1 letters in the sequence were colored green and participants were to ignore these.
• The letters were drawn without substitution from the English alphabet (omitting only A, E, I, O, and U).
• The presentation order of black and green letters was pseudo-random.

[Memory maintenance]. In place of a ninth letter, a dash appeared on the screen to signal the beginning of a Memory Maintenance period lasting between 2 to 4 s. During this period subjects were to silently rehearse the identities of the memorized letters.

[Memory probe]. A (red) probe letter then appeared, prompting the subject to respond by pressing one of two buttons (with the thumb or index finger of their dominant hand) to indicate whether or not the probe letter had been in the trial?s to-be-memorized letter set.

[Response feedback]. An auditory feedback signal (a confirmatory beep or cautionary buzz), then presented beginning at 400 ms after the button press, informed the subject whether their response was correct or incorrect. Note: responses in the task were largely correct.

[Session time structure]. Each task session comprised of 3 or 4 task blocks of 25 trials each separated into individual run files.

Experiment location: Swartz Center for Neural Computation (SCCN), University of California San Diego, La Jolla CA (USA).

Note 1: Results presented in Onton, J., Delorme, A. and Makeig, S., 2005. Frontal midline EEG dynamics during working memory. Neuroimage, 27(2), pp.341-356.

Note 2: This paradigm is one of 20 event-related EEG task paradigms selected for replication by the EEGManyLabs project. For details, see https://psyarxiv.com/528nr/. Contact: Yuri Pavlov pavlovug@gmail.com.

Note 3: Participant 5 did not have feedback events in the trials.

Note 4: The code subdirectory has several auxilliary files that were produced during the curation process. The curation was done using a series of Jupyter notebooks that are available as run in the code/curation_notebooks subdirectory.

During the running of these curation notebooks information about the status was logged using the HEDLogger. The output of the logging process is in code/curation_logs.

Updated versions of the curation notebooks can be found at: https://github.com/hed-standard/hed-examples/tree/main/hedcode/jupyter_notebooks/dataset_specific_processing/sternberg

Context

This dataset contains all the club goals records of Messi, Neymar, Ronaldo and Lewndowski from the beginning to date. It can be used for exploratory data analysis, data visualization etc.

This dataset will be updated weekly⏰

Content

There are four datafiles here.

lewandowski.csv

• Tournament : Name of the tournament
• Matchday : Day number of the tournament or knockout stage
• Date : Date of the match
• Venue : Home venue / Away venue
• Club : Played for the club
• Opponent : Opponent club
• Result : Final scorecard of the game. If home match scorecard is in Playing club : Opponent club format, If away match scorecard is in Opponent club : Playing club format
• Position : Playing position
• Minute : Match time when the goal was scored
• When Scored : Scorecard when the goal was scored. If home match scorecard is in Playing club : Opponent club format, If away match scorecard is in Opponent club : Playing club format
• Goal Type : Type of the goal
• Assist : Who assisted the goal

messi.csv

• Tournament : Name of the tournament
• Matchday : Day number of the tournament or knockout stage
• Date : Date of the match
• Venue : Home venue / Away venue
• Club : Played for the club
• Opponent : Opponent club
• Result : Final scorecard of the game. If home match scorecard is in Playing club : Opponent club format, If away match scorecard is in Opponent club : Playing club format
• Position : Playing position
• Minute : Match time when the goal was scored
• When Scored : Scorecard when the goal was scored. If home match scorecard is in Playing club : Opponent club format, If away match scorecard is in Opponent club : Playing club format
• Goal Type : Type of the goal
• Assist : Who assisted the goal

neymar.csv

• Tournament : Name of the tournament
• Matchday : Day number of the tournament or knockout stage
• Date : Date of the match
• Venue : Home venue / Away venue
• Club : Played for the club
• Opponent : Opponent club
• Result : Final scorecard of the game. If home match scorecard is in Playing club : Opponent club format, If away match scorecard is in Opponent club : Playing club format
• Position : Playing position
• Minute : Match time when the goal was scored
• When Scored : Scorecard when the goal was scored. If home match scorecard is in Playing club : Opponent club format, If away match scorecard is in Opponent club : Playing club format
• Goal Type : Type of the goal
• Assist : Who assisted the goal

ronaldo.csv

• Tournament : Name of the tournament
• Matchday : Day number of the tournament or knockout stage
• Date : Date of the match
• Venue : Home venue / Away venue
• Club : Played for the club
• Opponent : Opponent club
• Result : Final scorecard of the game. If home match scorecard is in Playing club : Opponent club format, If away match scorecard is in Opponent club : Playing club format
• Position : Playing position
• Minute : Match time when the goal was scored
• When Scored : Scorecard when the goal was scored. If home match scorecard is in Playing club : Opponent club format, If away match scorecard is in Opponent club : Playing club format
• Goal Type : Type of the goal
• Assist : Who assisted the goal

Acknowledgement

All the stats are collected from transfermarkt using web scraping. They were slightly preprocessed before publishing.

Comprehensive YouTube channel statistics for Neymar Jr, featuring 5,400,000 subscribers and 189,919,616 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Sports category. Track 453 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

RickGrimes001/neymar dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset

This dataset was created by Bryan Villegas

Contents