Name	Label	Folder
alpha_intrusion_pct_3sepochs Alpha intrusion (% of 3-s epochs)	Alpha intrusion (% of 3-s epochs) Percent of 3-sec epochs with alpha power >30mV² Younes et al. 2021 (PubMed ID: 34156473) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
avg_normalized_eeg_power Average Normalized EEG Power	Average Normalized EEG Power In some PSGs the EEG is generally low in amplitude in all frequency ranges while in others it is high. The reasons for these differences could be technical (distance between active and reference electrode, electrode impedance), biological (e.g. age, skin or skull impedance) or some other reason Younes et al. 2021 (PubMed ID: 34156473). This index was recently found to be a risk factor for future development of dementia (Stone et al. 2018). In addition, it was found to be highly reproducible across 5 years of follow up. A high value also results in artifactually high spindle power and density and higher alpha intrusion. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
avg_org_trt Average ORP Over Total Recording Time	Average ORP Over Total Recording Time Average Odds Ratio Product (ORP) in all 30-s epochs during total recording time. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
avg_orp_last120m_nrem Avg ORP Last 120 min NREM	Avg ORP Last 120 min NREM Used (along with min_orp_firsthalf_nrem) to calculate diff_orp. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
avg_orp_n1 Average ORP During N1	Average ORP During N1 Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
avg_orp_n2 Average ORP During N2	Average ORP During N2 Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
avg_orp_n3 Average ORP During N3	Average ORP During N3 Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
avg_orp_nonrem Average ORP During non-REM	Average ORP During non-REM Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
avg_orp_rem Average ORP During REM	Average ORP During REM Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
avg_orp_wake Average ORP During Wake	Average ORP During Wake Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
baseline_hr Arousal Characteristics - Baseline HR	Arousal Characteristics - Baseline HR Heart rate in repsonse to arousals. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
change_in_hr_perh_trt Arousal Characteristics - Change in HR per hr of TRT	Arousal Characteristics - Change in HR per hr of TRT Heart rate in repsonse to arousals. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
clinical_category Clinical Category	Clinical Category Clinical Category as per Younes et al. 2021 (PubMed ID: 34156473) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
delta_hr Arousal Characteristics - Delta HR	Arousal Characteristics - Delta HR Heart rate in repsonse to arousals. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
dhr_intensity Arousal Characteristics - dHR/ Intensity	Arousal Characteristics - dHR/ Intensity Heart rate in repsonse to arousals. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
diff_orp Change in ORP across the night	Change in ORP across the night Change in Odds Ratio Product (ORP) across the night, a greater increase in ORP from the beginning of to end of the night suggests more restorative sleep. Younes et al. 2020 (PubMed ID: 32729619). Source: avg_orp_last120m_nrem and min_orp_firsthalf_nrem. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
icc_ms_cols Breakdown of ICC components - MS Columns	Breakdown of ICC components - MS Columns Component of intraclass correlation, see icc_rl_orp for more information. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
icc_ms_error Breakdown of ICC components - MS Error	Breakdown of ICC components - MS Error Component of intraclass correlation, see icc_rl_orp for more information. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
icc_ms_rows Breakdown of ICC components - MS Rows	Breakdown of ICC components - MS Rows Component of intraclass correlation, see icc_rl_orp for more information. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
icc_rl_orp Icc R/L Orp	Icc R/L Orp Intraclass correlation between right and left Odds Ratio Product (ORP) across all epochs in Total Recording Time (TRT). A high correlation indicates good agreement in sleep depth between right and left hemispheres. The reasons for a low correlation could be: a) reduced range of ORP across TRT (e.g., little stage wake or deep sleep) b) systematic difference between the two electrodes (e.g. noise in one electrode or unilateral brain pathology) c) true dissociation between right and left sleep (Dolphin sleep). icc_ms_rows, icc_ms_col and icc_ms_error distinguish between these three possibilities, respectively. Younes et al. 2021 (PubMed ID: 34156473) Dres et al. 2019 (PubMed ID: 30818966) Azarbarzin et al. 2021 (PubMed ID: 32441843) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
intensity_scale Arousal Characteristics - Intensity Scale	Arousal Characteristics - Intensity Scale Arousal intensity on a scale from 1 to 9 (Younes 2017). Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
min_orp_firsthalf_nrem Min ORP First Half NREM	Min ORP First Half NREM Used (along with avg_orp_last120m_nrem) to calculate diff_orp. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
orpto9 Orp-9	Orp-9 Rate of sleep recovery following arousals. A high value reflects slow recovery and suggests high central arousability (Hyperarousal state). Younes et al. 2021 (PubMed ID: 34156473) Younes and Hanley 2016 (PubMed ID: 26718786) Younes and Giannouli 2020 (PubMed ID: 31992415) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
orp_type ORP Type	ORP Type Nine Odds Ratio Product (ORP) types with different potential mechanisms and associations with demographics, clinical phenotypes and outcomes. Source: sum_deciles_1and2 Younes et al. 2022 (PubMed ID: 35272350) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
pct_epoch_0_25to0_5pct Distribution of epochs in 0.25-0.5% ORP decile	Distribution of epochs in 0.25-0.5% ORP decile Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (orp_type). Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
pct_epoch_0_5to0_75pct Distribution of epochs in 0.5-0.75% ORP decile	Distribution of epochs in 0.5-0.75% ORP decile Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (orp_type). Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
pct_epoch_0_75to1pct Distribution of epochs in 0.75-1.0% ORP decile	Distribution of epochs in 0.75-1.0% ORP decile Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (orp_type). Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
pct_epoch_0to_0_25pct Distribution of epochs in 0-0.25% ORP decile	Distribution of epochs in 0-0.25% ORP decile Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (orp_type). Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
pct_epoch_1_25to1_5pct Distribution of epochs in 1.25-1.5% ORP decile	Distribution of epochs in 1.25-1.5% ORP decile Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (orp_type). Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
pct_epoch_1_5to1_75pct Distribution of epochs in 1.5-1.75% ORP decile	Distribution of epochs in 1.5-1.75% ORP decile Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (orp_type). Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
pct_epoch_1_75to2pct Distribution of epochs in 1.75-2.0% ORP decile	Distribution of epochs in 1.75-2.0% ORP decile Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (orp_type). Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
pct_epoch_1to1_25pct Distribution of epochs in 1.0-1.25% ORP decile	Distribution of epochs in 1.0-1.25% ORP decile Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (orp_type). Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
pct_epoch_2_25to2_5pct Distribution of epochs in 2.25-2.5% ORP decile	Distribution of epochs in 2.25-2.5% ORP decile Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (orp_type). Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
pct_epoch_2to2_25pct Distribution of epochs in 2.0-2.25% ORP decile	Distribution of epochs in 2.0-2.25% ORP decile Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (orp_type). Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c3a2_alpha Powers C3/A2 (mV^2) - Alpha (7.33-12.0)	Powers C3/A2 (mV^2) - Alpha (7.33-12.0) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c3a2_beta1 Powers C3/A2 (mV^2) - Beta1 (14.3-20.0)	Powers C3/A2 (mV^2) - Beta1 (14.3-20.0) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c3a2_beta2 Powers C3/A2 (mV^2) - Beta2 (20.3-35)	Powers C3/A2 (mV^2) - Beta2 (20.3-35) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c3a2_delta Powers C3/A2 (mV^2) - Delta (0.33-2.33 Hz)	Powers C3/A2 (mV^2) - Delta (0.33-2.33 Hz) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c3a2_gammaomega Powers C3/A2 (mV^2) - Gamma Omega (35.3-60.0)	Powers C3/A2 (mV^2) - Gamma Omega (35.3-60.0) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c3a2_sigma Powers C3/A2 (mV^2) - Sigma (12.33-14.0)	Powers C3/A2 (mV^2) - Sigma (12.33-14.0) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c3a2_theta1 Powers C3/A2 (mV^2) - Theta1 (2.67-6.33)	Powers C3/A2 (mV^2) - Theta1 (2.67-6.33) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c4a1_alpha Powers C4/A1 (æV^2) - Alpha (7.33-12.0)	Powers C4/A1 (æV^2) - Alpha (7.33-12.0) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c4a1_beta1 Powers C4/A1 (æV^2) - Beta1 (14.3-20.0)	Powers C4/A1 (æV^2) - Beta1 (14.3-20.0) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c4a1_beta2 Powers C4/A1 (æV^2) - Beta2 (20.3-35.0)	Powers C4/A1 (æV^2) - Beta2 (20.3-35.0) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c4a1_delta Powers C4/A1 (æV^2) - Delta (0.33-2.33 Hz)	Powers C4/A1 (æV^2) - Delta (0.33-2.33 Hz) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c4a1_gammaomega Powers C4/A1 (æV^2) - Gamma Omega (35.3-60.0)	Powers C4/A1 (æV^2) - Gamma Omega (35.3-60.0) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c4a1_sigma Powers C4/A1 (æV^2) - Sigma (12.33-14.0)	Powers C4/A1 (æV^2) - Sigma (12.33-14.0) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
powers_c4a1_theta1 Powers C4/A1 (æV^2) - Theta1 (2.67-6.33)	Powers C4/A1 (æV^2) - Theta1 (2.67-6.33) Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
spindle_char_n2_density_c3 Spindle Characteristics (Stage N2) - Density (C3)	Spindle Characteristics (Stage N2) - Density (C3) Spindle characteristics in stage N2. For detection methods and validation see Method A10: Goldschmied et al. 2021 (PubMed ID: 33165618), and Guadagni et al. 2021 (PubMed ID:32281182) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
spindle_char_n2_density_c4 Spindle Characteristics (Stage N2) - Density (C4)	Spindle Characteristics (Stage N2) - Density (C4) Spindle characteristics in stage N2. For detection methods and validation see Method A10: Goldschmied et al. 2021 (PubMed ID: 33165618), and Guadagni et al. 2021 (PubMed ID:32281182) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
spindle_char_n2_freq_c3 Spindle Characteristics (Stage N2) - Frequency (C3)	Spindle Characteristics (Stage N2) - Frequency (C3) Spindle characteristics in stage N2. For detection methods and validation see Method A10: Goldschmied et al. 2021 (PubMed ID: 33165618), and Guadagni et al. 2021 (PubMed ID:32281182) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
spindle_char_n2_freq_c4 Spindle Characteristics (Stage N2) - Frequency (C4)	Spindle Characteristics (Stage N2) - Frequency (C4) Spindle characteristics in stage N2. For detection methods and validation see Method A10: Goldschmied et al. 2021 (PubMed ID: 33165618), and Guadagni et al. 2021 (PubMed ID:32281182) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
spindle_char_n2_pctfast_c3 Spindle Characteristics (Stage N2) - % Fast (C3)	Spindle Characteristics (Stage N2) - % Fast (C3) Spindle characteristics in stage N2. For detection methods and validation see Method A10: Goldschmied et al. 2021 (PubMed ID: 33165618), and Guadagni et al. 2021 (PubMed ID:32281182) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
spindle_char_n2_pctfast_c4 Spindle Characteristics (Stage N2) - % Fast (C4)	Spindle Characteristics (Stage N2) - % Fast (C4) Spindle characteristics in stage N2. For detection methods and validation see Method A10: Goldschmied et al. 2021 (PubMed ID: 33165618), and Guadagni et al. 2021 (PubMed ID:32281182) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
spindle_char_n2_power_c3 Spindle Characteristics (Stage N2) - Power (C3)	Spindle Characteristics (Stage N2) - Power (C3) Spindle characteristics in stage N2. For detection methods and validation see Method A10: Goldschmied et al. 2021 (PubMed ID: 33165618), and Guadagni et al. 2021 (PubMed ID:32281182) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
spindle_char_n2_power_c4 Spindle Characteristics (Stage N2) - Power (C4)	Spindle Characteristics (Stage N2) - Power (C4) Spindle characteristics in stage N2. For detection methods and validation see Method A10: Goldschmied et al. 2021 (PubMed ID: 33165618), and Guadagni et al. 2021 (PubMed ID:32281182) Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
sum_deciles_1and2 Sum Deciles 1 & 2	Sum Deciles 1 & 2 Used to determine Odds Ratio Product type, see orp_type Search for all EEG variables within this dataset	Sleep Monitoring/Polysomnography/Electroencephalogram
valid_delta_and_intensity_count Arousal Characteristics - Valid Delta & Intensity Count	Arousal Characteristics - Valid Delta & Intensity Count	Sleep Monitoring/Polysomnography/Electroencephalogram
valid_intensity_count Arousal Characteristics - Valid Intensity Count	Arousal Characteristics - Valid Intensity Count	Sleep Monitoring/Polysomnography/Electroencephalogram

Sleep Heart Health Study