Which datasets are used in the documentation and where are they used?
The FieldTrip website and download server include a variety of datasets. some of these are used in the tutorials, while others are used in example MATLAB scripts. All of these datasets were recorded from humans, unless otherwise specified.
In this frequently asked question you can find links to other open access datasets.
MEG-language
- Dutch sentences presented auditory. Investigated the effects of semantic (in)congruency on sentence processing.
- 151-channel CTF MEG system
- The head shape and the anatomical MRI is included for Subject01 and used for the headmodel tutorials.
- There are some additional single-subject raw datasets from this study, which were in the past used to show the effect of the planar gradient transform but which are not used at the moment. These are available from our download server as Subject02.zip, Subject03.zip and Subject04.zip. These additional subjects are also used to explain batch processing and distributed computing.
- Group results of this study (comprising 10 subjects) are used in the statistics tutorials.
- Details MEG-language
- Link to the publication by Wang et al.(2011)
- Download the dataset Subject01.zip from our download server.
Documentation referring to this dataset:
- Localizing oscillatory sources using beamformer techniques
- Cluster-based permutation tests on time-frequency data
- Cluster-based permutation tests on event-related fields
- Preprocessing - Reading continuous EEG and MEG data
- Which datasets are used in the documentation and where are they used?
- Speeding up your analysis using distributed computing with parfor
- Speeding up your analysis using distributed computing with qsub
- Computing and reporting the effect size
- Event-related averaging and MEG planar gradient
- Parametric and non-parametric statistics on event-related fields
- Creating a BEM volume conduction model of the head for source reconstruction of EEG data
- Creating a FEM volume conduction model of the head for source reconstruction of EEG data
- Creating a volume conduction model of the head for source reconstruction of MEG data
- Details of the MEG language dataset
- Source reconstruction of event-related fields using minimum-norm estimation
- Preprocessing - Segmenting and reading trial-based EEG and MEG data
- Creating a sourcemodel for source reconstruction of MEG or EEG data
- Time-frequency analysis using Hanning window, multitapers and wavelets
- Visual or manual artifact rejection
MEG-artifact
- Dataset specifically generated by FieldTrip team members to demonstrate certain types of MEG artifacts.
- 151-channel CTF MEG system
- The continuous data is composed of 10s segments with no gaps between segments.
- Download the dataset ArtifactMEG.zip from our download server.
Documentation referring to this dataset:
- Automatic artifact rejection
- Which datasets are used in the documentation and where are they used?
- Cleaning artifacts using ICA
- Independent component analysis (ICA) to remove EOG artifacts
MEG-removal
- Dataset recorded by Arjen Stolk in March 2011
- 275-channel CTF MEG system
- The continuous data is composed of 10s segments with no gaps between segments.
- Download the dataset ArtifactRemoval.zip from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Independent component analysis (ICA) to remove ECG artifacts
- Use denoising source separation (DSS) to remove ECG artifacts
MEG-visuomotor151
- Both wrists in isometric extensions to exert a constant force against a lever. Indicate detected change (speed) of visual stimulus by further extending cued hand. Analyzed the gamma-band coherence as an indicator of communication between sensorimotor regions and and motorneurons in the forearm.
- 151-channel CTF MEG system + Electromyography (EMG) recording
- Link to the publication by Schoffelen et al. (2011).
- Download the dataset SubjectCMC.zip from our download server.
Documentation referring to this dataset:
- Analysis of corticomuscular coherence
- Extended analysis of sensor- and source-level connectivity
- Which datasets are used in the documentation and where are they used?
MEG-visuomotor151-k
- Right wrist is maintained in isometric extension against a lever until visual stimulus changes speed. Modulation of the hazard rate of the stimulus’ speed change: UP-schedule (likelihood of stimulus change increases as the duration of the constant stimulus increases) and DOWN-schedule (likelihood of stimulus to change decreases a duration of the constant stimulus increases). Analysed change in coherence between oscillations in motor cortex and spinal cord neurons as an indicator of corticospinal interaction.
- 151-channel CTF MEG system + Electromyography (EMG) recording
- Link to the publication by Schoffelen et al. (2005)
- Download the dataset subjectK.mat from our download server.
Documentation referring to this dataset:
- Localizing visual gamma and cortico-muscular coherence using DICS
- Which datasets are used in the documentation and where are they used?
- Sensor-level ERF, TFR and connectivity analyses
- Reading in data and performing sensor-level ERF and TFR analyses
MEG-attention
- Covertly attend to a cued square that is presented either in the left or right hemifield. This elicits a lateralized effect in the alpha oscillations, which can be distinguished using a classifier (left vs. right) in brain computer interface.
- 275-channel CTF MEG system
- Link to the publication by van Gerven et al. (2009).
- Download the dataset covatt.mat from our download server.
Documentation referring to this dataset:
MEG-tactile
- Dataset specifically generated by FieldTrip team members to explain dipole fitting.
- Different forms of mechanical tactile stimulation are applied to right index finger.
- Download the dataset SubjectBraille.zip from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Fit a dipole to the tactile ERF after mechanical stimulation
MEG-audodd
- Combined MEG/EEG dataset recorded at the NatMEG in Stockholm
- 306-channel Neuromag/Elekta/Megin Triux MEG system
- Auditory stimulus presentation with a standard and an oddball, motor responses on the oddball, visual cue for the response hand (left or right) at the start of each block.
- Experimental and dataset details
- Download the dataset here from our download server.
Documentation referring to this dataset:
- FieldTrip workshop in Aarhus
- Beamforming oscillatory responses in combined MEG/EEG data
- Beamforming oscillatory responses in MEG data
- Beamforming evoked fields and potentials in combined MEG/EEG data
- Which datasets are used in the documentation and where are they used?
- Dipole fitting of combined MEG/EEG data
- Details of the auditory oddball MEG+EEG dataset
- FieldTrip course at the NatMEG in Stockholm
- Preprocessing and event-related activity in combined MEG/EEG data
- Statistical analysis and multiple comparison correction for combined MEG/EEG data
- Time-frequency analysis of combined MEG/EEG data
MEG-epilepsy
- This dataset contains MEG data from two patients. The data was recorded at Aston Brain Centre (ABC) using a 275-channel CTF system and using a Neuromag/Elekta/Megin 306-channel system, i.e. for both patients there are the recordings with the two MEG systems. This clinical data was kindly provided by Professor Stefano Seri.
- Download the dataset here from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Virtual channel analysis of epilepsy MEG data
HCP-motort
- Motor task dataset from Human Connectome Project (HCP)
- Recorded at 2000Hz with 248-channel 4D/BTi MEG scanner in St. Louis, USA.
- Subjects do a movement with either left hand, right hand, left foot or right foot.
- Details HCP-motort
- Download the dataset from the HCP website.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Details of the tMEG Motor task dataset
- MEG virtual channels and seed-based connectivity
- MEG whole-brain connectivity
OPM-mediannerve
- MEG recordings using a FieldLine v2 system comprised of 8 radial OPM sensors
- Measurement over the left-somatosensory area while the right median nerve was electrically stimulated
- Three recordings were done with median nerve stimulation, with the OPM sensors over different positions to cover the whole ROI
- Two additional resting state recordings were done with eyes open and closed, with the sensors over the 3rd position
- Download the dataset here from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Getting started with FieldLine OPM data
- Preprocessing of Optically Pumped Magnetometer (OPM) data
mmfaces
- EEG, MEG, structural MRI and fMRI data from 16 subjects, also used in SPM8 and SPM12 documentation
- Recorded by Daniel Wakeman and Rik Henson in Cambridge, using 306-channel Neuromag/Elekta/MEGIN system
- Subjects watch familiar, unfamiliar and scrambled faces
- Link to publication by Wakeman and Henson (2015).
- Download the dataset from OpenNeuro
- Details mmfaces
Documentation referring to this dataset:
- Multimodal faces dataset
- Multimodal faces dataset
- Multimodal faces dataset
- Which datasets are used in the documentation and where are they used?
- FieldTrip beamformer demo
- FieldTrip connectivity demo
- FieldTrip stats demo
- Creation of headmodels and sourcemodels for source reconstruction
- Creation of headmodels and sourcemodels for source reconstruction
- Dealing with artifacts
- Group analysis
- Group-level statistics with parametric and non-parametric methods
- From raw data to ERP
- Preprocessing raw data and computing ERPs/ERFs
- Time-frequency analysis using Hanning window, multitapers and wavelets
- Time-frequency analysis using Hanning window, multitapers and wavelets
- Reconstructing source activity using beamformers
- Reconstructing source activity using beamformers
- MEG-UK 2015 meeting
- Details on the multimodal faces dataset
EEG-audodd
- Combined MEG/EEG dataset recorded at the NatMEG in Stockholm
- Experimental details
- This is the same dataset as MEG-audodd, but only with the EEG channels and reformatted as BrainVision file
- Download the dataset here from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Forward modeling for EEG source reconstruction
- Preprocessing and event-related potentials in EEG data
- FieldTrip workshop in Oslo
- Statistical analysis and multiple comparison correction for EEG data
- Time-frequency analysis of EEG data
EEG-language
- Dutch words presented in visual form, auditory form, and picture form. Multivariate pattern analysis used to decode conceptual representations from event-related data
- 64-channel ActiCap system (Brain Products GmbH)
- Link to publication by Simanova et al. (2010).
- Download the dataset SubjectEEG.zip from our download server
Documentation referring to this dataset:
- Convert the EEG language dataset for sharing in BIDS
- Preprocessing - Reading continuous EEG and MEG data
- Which datasets are used in the documentation and where are they used?
- Details on the EEG language dataset
- Using General Linear Modeling on time series data
- Using General Linear Modeling over trials
- FieldTrip workshop in Madrid
- Getting started with EEG data, quality checks and ERPs
- Time-frequency analysis on short and long timescales
- Time-frequency and spectral analysis
EEG-affective
- Dutch words presented in visual form, subjects made positive/negative or animal/human judgments on the nouns.
- 64-channel ActiCap system (Brain Products GmbH)
- Download the dataset here from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Preprocessing of EEG data and computing ERPs
EEG-sedation
- Participants had their eyes closed, while high-density resting-state EEG was recorded during propofol sedation. Approximately 7 minutes of data is available at four different sedation levels: baseline, mild and moderate sedation & recovery.
- 128-channel HydroCel Geodesic Sensor Net (GSN) (of which 91 channels available) with a NetAmps 300 Amplifier, sampled at 250 Hz and rereferenced to the average of all channels.
- The data has already been filtered between 0.5 - 45 Hz, segmented into 10s epochs, cleaned and preprocessed to remove artefacts.
- Link to publication by Chennu et al. (2016).
- Download the dataset here here from our download server.
Documentation referring to this dataset:
- Convert the EEG sedation dataset for sharing in BIDS
- Which datasets are used in the documentation and where are they used?
- Details on the resting-state EEG dataset recorded with different sedation levels
- FieldTrip workshop in Madrid
- Cleaning and processing resting-state EEG
- Time-frequency and spectral analysis
- Cluster-based permutation tests on resting-state EEG power spectra
EEG-TMS
- Data specifically generated by FieldTrip team members for teaching TMS/EEG data analysis.
- 64-channel BrainAmp-MR with TMS-compatible EEG cap (EasyCap)
- Transcranial magnetic stimulation applied to primary motor cortex (M1) while subject contracts or relaxes contralateral hand.
- C-B60 butterfly coil connected to a MagPro X100 (Magventure) stimulator
- Download the dataset sp_motor.zip from our download server.
Documentation referring to this dataset:
ECoG-visual
- ECoG data recorded at the Comprehensive Epilepsy Center of the New York University School of Medicine and processed in collaboration with members of the Multisensory Integration Research Group (Charité - University Medicine Berlin).
- The data was recorded from an epilepsy patient implanted with a subdural grid for pre-surgical evaluation and includes a visual localizer task. different types of visual stimuli were presented.
- Download the dataset SubjectNY394.zip from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Analysis of high-gamma band signals in human ECoG
ECoG-protocol
- Intracranial EEG data (ECoG and Stereo EEG) obtained at the UC Irvine Medical Center. Includes a pre-implantation MR and a post-implantation CT, the latter showing the recording electrodes.
- Download the dataset SubjectUCI29.zip from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Analysis of human ECoG and sEEG recordings
NIRS single channel
- Single-channel fNIRS recording over motor cortex during finger tapping task.
- Artinis Oxymon MK III system
- Download the dataset here from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Preprocessing and averaging of single-channel NIRS data
NIRS multi channel
- Multi-channel fNIRS data recorded during an event-related auditory oddball paradigm.
- Data was sampled at 250 Hz using 4 connected Artinis Oxymon systems to enable a 48 channel recording.
- Download the dataset here from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Preprocessing and averaging of multi-channel NIRS data
Spike-attention
- Monkeys attended to relevant the stimulus while ignoring distracters. Activity is recorded in V4 and analyzed as a function of whether neurons were activated by stimulus or distractors.
- Link to the publication by Fries et al.(2001).
- Download the dataset p029_sort_final_01.nex from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Preprocessing and analysis of spike-train data
- Preprocessing and analysis of spike and local field potential data
Spike-placefield
- Rat CA1 hippocampal activity measured during exploration of maze.
- Download the dataset tt6_7.t from our download server.
Documentation referring to this dataset:
- Which datasets are used in the documentation and where are they used?
- Preprocessing and analysis of spike-train data
NeuroTycho
- The NeuroTycho project shares ECoG and sEEG data recorded in monkeys while performing various tasks, plus behavioral data. The datasets were recorded in the Laboratory for Adaptive Intelligence, BSI, RIKEN and have been made publicly available.
Documentation referring to this dataset: