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Background and Study Aims: In sports, coronavirus disease 2019 (COVID-19) affected variables such as training, recovery or athletes’ sleep quality, uncertainty about the future generating distress and anxiety in athletes. There are two cognitive purpose of the current study: knowledge about the subjectively experienced stress in martial arts athletes from selected Europe Union countries during the 4th wave of the pandemic; and knowledge of the likely of using coping strategies, and if so, with what frequency. Materials and Methods: Three hundred and forty-one competitive martial arts athletes from Hungary, Italy, Latvia, Lithuania Poland, Romania, Slovakia, and Spain were investigated (female n = 129, male n = 212). The athletes represented (according to division of the combat sports under forms of the direct confrontation): workings of weapons (fencing); hits (boxing, karate, kickboxing, Muay Thai, taekwondo); throws and grips of immobilisation of opponent’s body (Brazilian jiu-jitsu, freestyle wrestling, judo) were investigated. In this paper we analyse workings of weapons and hits as conventional “striking combat sports” SCS (in consequence FSCS or MSCS – for female and male respectively), while throws and grips of immobilization of opponent’s body as “grappling combat sports” GCS (FGCS and MGCS respectively). The Perception of Stress Questionnaire was used to measure intrapsychic stress, external stress and emotional tension in athletes, while through the Brief COPE questionnaire the frequency of use of 14 coping strategies was examined. Results: The highest intrapsychic stress levels, during the 4th wave of the pandemic, were registered by Slovak athletes, external stress was the highest among Italian martial arts athletes, while the highest emotional tension levels were reported by Latvian athletes. The lowest values were observed in Lithuanian martial arts athletes, in all three stress dimensions. Also, martial arts athletes who have tested positive for COVID-19 reported significantly higher levels of stress and used (during the 4th wave) more frequent denial, behavioural disengagement and less frequent positive reframing (as coping strategies). Gender and type of sport-dependent strategies to deal with stress were discussed: FSCS group used less frequently emotion-focused coping strategies than male athletes from both MSCS and MGCS (apparently a surprising result), and with a higher frequency dysfunctional coping strategies. No important differences were found between the four investigated groups of athletes MGCS, MSCS, FGCS and FSCS) with respect to the problem-focused coping strategies. Conclusions: Martial arts (combat sports) athletes who have tested positive for COVID-19 reported significantly higher levels of intrapsychic stress, emotional tension and external stress, compared to athletes which reported that they have not suffered from COVID-19. Denial and behavioural disengagement (as dysfunctional coping strategies) were more frequent among athletes which reported that they were sick with COVID-19, while positive reframing was significantly less used. The research can be of interest for martial arts athletes, coaches, parents and sports psychologists seeking to promote the most effective strategies to deal with negative stress, if the pandemic will have long-term consequences for athletes’ mental health and well-being.

The data were collected to understand how individual differences in personality (e.g. neuroticism), general imagery, and situational sports anxiety are linked to arousal measuring with skin conductance level (SCL) in situational imagery (as scripted for sport-related scenes). Thirty persons participated in the study, aged between 14 and 42 years, with sports experience ranging between 2 and 20 years, representing different sports disciplines and levels: international level, national level, regional and local level. In the study three questionnaires were used: the Imagination in Sport Questionnaire (ISQ), the Sport Anxiety Scale (SAS), and the Big Five Inventory-Short (BFI-S). The research was based on SCL data, collected at a frequency of 40 Hz and expressed in units of microsiemens (μS). Subjects listened to a pre-recorded script and were then asked to imagine the scene they listened to for around one minute. The study used scripts for 6 sport-related scenes: "A slow start", "Fitness activity", "Start in the high-level championship", "Successful competition", "Training session", and "Your 'home' venue". All collected data were properly inspected and preprocessed. The predictive regression model, based on artificial intelligence methods was constructed by relying on the theoretical premises.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The study's main aim was to examine the cortical correlations of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure high alpha brainwaves. Finally, the power of the high alpha brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The study's main aim was to examine the cortical correlations of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure SMR brainwaves. Finally, the power of the SMR brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The main aim of the study was to examine the cortical correlates of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure high alpha brainwaves. Finally, the power of the high alpha brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The study's main aim was to examine the cortical correlations of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure high alpha brainwaves. Finally, the power of the high alpha brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The main aim of the study was to examine the cortical correlates of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure low alpha brainwaves. Finally, the power of the low alpha brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The study's main aim was to examine the cortical correlations of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure low alpha brainwaves. Finally, the power of the low alpha brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The main aim of the study was to examine the cortical correlates of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure SMR brainwaves. Finally, the power of the SMR brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The main aim of the study was to examine the cortical correlates of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure low alpha brainwaves. Finally, the power of the low alpha brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The study's main aim was to examine the cortical correlations of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure high alpha brainwaves. Finally, the power of the high alpha brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The main aim of the study was to examine the cortical correlates of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure SMR brainwaves. Finally, the power of the SMR brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The main aim of the study was to examine the cortical correlates of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure high alpha brainwaves. Finally, the power of the high alpha brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The study's main aim was to examine the cortical correlations of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure low alpha brainwaves. Finally, the power of the low alpha brainwaves was calculated.

The data were collected to perform research on the neural oscillation during mental imagery in sport. The study's main aim was to examine the cortical correlations of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure SMR brainwaves. Finally, the power of the SMR brainwaves was calculated.