cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/fy6v-rj30
title: Power of the SMR brainwaves in the mental imagery experiment in sport: the "Training Session" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 37 seconds (i.e. 9250 samples) of the SMR brainwaves' power are related to the guided imagery part of the "Training Session" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Training Session" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.34808/2e2q-1121
title: Power of the high alpha brainwaves in the mental imagery experiment in sport: the "Training Session" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 37 seconds (i.e. 9250 samples) of the high alpha brainwaves' power are related to the guided imagery part of the "Training Session" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Training Session" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.34808/vh4g-0779
title: Power of the low alpha brainwaves in the mental imagery experiment in sport: the "Training Session" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 37 seconds (i.e. 9250 samples) of the low alpha brainwaves' power are related to the guided imagery part of the "Training Session" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Training Session" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.34808/0krd-py42
title: Power of the SMR brainwaves in the mental imagery experiment in sport: the "Successful Competition" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 38 seconds (i.e. 9500 samples) of the SMR brainwaves' power are related to the guided imagery part of the "Successful Competition" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Successful Competition" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.25392/leicester.data.14473401
title: InVEST Habitat Quality Index without forest loss

description: The InVEST HQI was produced using environmental threats or threats for biodiversuity such as urban settlement, and infrastructure such as rail roads and roads. THe land cover input was taken from GLC2000.<br>
DOI: 10.25392/leicester.data.14473374
title: Sentinel_2_forest_loss_2017_2018

description: This data was derived using a time-series of Sentienl-2 images and machine learning model called Random FOest was trained and then applied to the data to detect land cover changes based on changes in pixel based spectral signatures. <br>
DOI: 10.34808/sapq-n170
title: Power of the high alpha brainwaves in the mental imagery experiment in sport: the "Successful Competition" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 38 seconds (i.e. 9500 samples) of the high alpha brainwaves' power are related to the guided imagery part of the "Successful Competition" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Successful Competition" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.25392/leicester.data.14473374.v1
title: Sentinel_2_forest_loss_2017_2018

description: This data was derived using a time-series of Sentienl-2 images and machine learning model called Random FOest was trained and then applied to the data to detect land cover changes based on changes in pixel based spectral signatures. <br>
DOI: 10.34808/f3pm-0022
title: Power of the SMR brainwaves in the mental imagery experiment in sport: the "Start in High Level Championship" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 33 seconds (i.e. 8250 samples) of the power of the SMR brainwaves are related to the guided imagery part of the "Start in High Level Championship" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Start in High Level Championship" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.34808/s6mp-r784
title: Power of the high alpha brainwaves in the mental imagery experiment in sport: the "Start in High Level Championship" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 33 seconds (i.e. 8250 samples) of the power of the high alpha brainwaves are related to the guided imagery part of the "Start in High Level Championship" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Start in High Level Championship" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.34808/zyzx-d322
title: Power of the low alpha brainwaves in the mental imagery experiment in sport: the "Start in High Level Championship" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 33 seconds (i.e. 8250 samples) of the power of the low alpha brainwaves are related to the guided imagery part of the "Start in High Level Championship" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Start in High Level Championship" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.34808/cs0d-ys91
title: Power of the SMR brainwaves in the mental imagery experiment in sport: the "Slow Start" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 47 seconds (i.e. 11750 samples) of the power of the SMR brainwaves are related to the guided imagery part of the "Slow Start" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Slow Start" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.34808/sbff-8378
title: Power of the high alpha brainwaves in the mental imagery experiment in sport: the "Slow Start" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 47 seconds (i.e. 11750 samples) of the power of the high alpha brainwaves are related to the guided imagery part of the "Slow Start" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Slow Start" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.34808/2qf3-aj73
title: Power of the low alpha brainwaves in the mental imagery experiment in sport: the "Slow Start" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 47 seconds (i.e. 11750 samples) of the power of the low alpha brainwaves are related to the guided imagery part of the "Slow Start" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Slow Start" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.34808/2awh-tf27
title: Power of the SMR brainwaves in the mental imagery experiment in sport: the "Fitness Activity" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 37 seconds (i.e. 9250 samples) of the power of the SMR brainwaves are related to the guided imagery part of the "Fitness Activity" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Fitness Activity" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.34808/6g25-kb03
title: Power of the high alpha brainwaves in the mental imagery experiment in sport: the "Fitness Activity" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 37 seconds (i.e. 9250 samples) of the power of the high alpha brainwaves are related to the guided imagery part of the "Fitness Activity" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Fitness Activity" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.34808/0tfa-1y89
title: Power of the low alpha brainwaves in the mental imagery experiment in sport: the "Fitness Activity" scenario.

description: 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 dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 37 seconds (i.e. 9250 samples) of the power of the low alpha brainwaves are related to the guided imagery part of the "Fitness Activity" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Fitness Activity" situation is presented with a duration of 60 seconds (i.e. 15000 samples).
DOI: 10.5281/zenodo.4725149
title: Dataset for article entitled "Gold Nanopeanuts as Prospective Support for Cisplatin in Glioblastoma Nano-Chemo-Radiotherapy"

description: The dataset show data obtained from X-ray diffraction (XRD), thermogravimetric analysis (TGA.xlsx, Figure 2b), differential scanning calorimetry (DSC.xlsx, Figure 2b) and MTT (MTT data Int. J Mol Sci. 2020.xlsx, Figure 3) analyses, which were performed to obtain information about structure (XRD.xlsx) of nanoparticles (Figure 1e), stabity of nanosystem consisting of nanoparticles and anticancer cisplatin drugs (TGA, DSC) and viability of cells after nanoparticles, nanosystem or X-ray irradiation treatment.
DOI: 10.5281/zenodo.4725148
title: Dataset for article entitled "Gold Nanopeanuts as Prospective Support for Cisplatin in Glioblastoma Nano-Chemo-Radiotherapy"

description: The dataset show data obtained from X-ray diffraction (XRD), thermogravimetric analysis (TGA.xlsx, Figure 2b), differential scanning calorimetry (DSC.xlsx, Figure 2b) and MTT (MTT data Int. J Mol Sci. 2020.xlsx, Figure 3) analyses, which were performed to obtain information about structure (XRD.xlsx) of nanoparticles (Figure 1e), stabity of nanosystem consisting of nanoparticles and anticancer cisplatin drugs (TGA, DSC) and viability of cells after nanoparticles, nanosystem or X-ray irradiation treatment.
DOI: 10.6084/m9.figshare.14501205
title: TCGA.zip

description: Gene expression data set, originally acquired in the scope of the TCGA-BRCA program.We downloaded raw expression counts of primary tumor tissue and corresponding metadata information from the NCI Genomic Data Commons public database.From the downloaded data, we removed all samples without PAM50 subtype assignment in the metadata.We further filtered genes that had less than 60 read counts in more than 30 percent of a class' samples and applied TMM normalization with subsequent log2-transformation.The final data set contains 1,090 samples and 20,950 genes.