This dataset's answers referes to 281 employees (fixed employees and public servants), both genders. We have information about marital status, level of education, income and also questions to better understand how populous the teleworking was, considering the second pandemic pick. It means that data was collected between May and July/2021. About the constructs, we publish in this database the follow constructs. - Work as Meaning Inventory WAMI: is a 10-item measure assessing search for Greater Good Motivation (3 items; e.g. My work helps me make sense of the world around me), positive meaning (4 items; e.g. I have found a meaningful career”) and contribution to meaning-making (3 items; e.g. I view my work as contributing to my personal growth”). The items of the inventory are rated from 1 (absolutely untrue) to 5 (absolutely true); - Emotions: Scale composed by positive emotions (N= 4 items) and reverse score of negative emotions (5 items) (item of positive emotion example "over the past six months my work made me feel happy"; item of negative emotion example "over the past six months my work made me feel upset". The response scale is a 5-point agreement scale. - Performance. Short Version of General Self-Assessment Scale of Job Performance has 10 items to measure Task and Context performance (e.g. I take initiatives to improve my results at work). Items are rated from 1 (absolutely false) to 5 (absolutely true). - I- deal. The HR flexibility and development i-deal is a measure with 6 items (HR i-deal e.g. I try to negotiate my job conditions with the company). We use the scale is a single factor just considering flexibility aspect. Items rated from 1 (Never) to 5 (Always). - Recovery Experience Questionnaire is composed of four types of recovery experience (psychological detachment, relaxation, mastery and control). We reduce 1 item of each scale based on the factor loading. Participants indicated on a 5-point scale (1 = never to 5 = always) the extent to which each recovery experience was de-scribing the psychological detachment (3-item), relaxation (3-item), mastery (3-item), and control (3-item).. We keep in this database all the factors about the constructs measured and also the clusters we found considering Belasos Model. All these information was collected in a first moment (T1 386_COVID-19 BR.csv)

SRM Resting-state EEG

Introduction

This EEG dataset contains resting-state EEG extracted from the experimental paradigm used in the Stimulus-Selective Response Modulation (SRM) project at the Dept. of Psychology, University of Oslo, Norway.

The data is recorded with a BioSemi ActiveTwo system, using 64 electrodes following the positional scheme of the extended 10-20 system (10-10). Each datafile comprises four minutes of uninterrupted EEG acquired while the subjects were resting with their eyes closed. The dataset includes EEG from 111 healthy control subjects (the "t1" session), of which a number underwent an additional EEG recording at a later date (the "t2" session). Thus, some subjects have one associated EEG file, whereas others have two.

Disclaimer

The dataset is provided "as is". Hereunder, the authors take no responsibility with regard to data quality. The user is solely responsible for ascertaining that the data used for publications or in other contexts fulfil the required quality criteria.

The data

Raw data files

The raw EEG data signals are rereferenced to the average reference. Other than that, no operations have been performed on the data. The files contain no events; the whole continuous segment is resting-state data. The data signals are unfiltered (recorded in Europe, the line noise frequency is 50 Hz). The time points for the subject's EEG recording(s), are listed in the *_scans.tsv file (particularly interesting for the subjects with two recordings).

Please note that the quality of the raw data has not been carefully assessed. While most data files are of high quality, a few might be of poorer quality. The data files are provided "as is", and it is the user's esponsibility to ascertain the quality of the individual data file.

/derivatives/cleaned_data

For convenience, a cleaned dataset is provided. The files in this derived dataset have been preprocessed with a basic, fully automated pipeline (see /code/s2_preprocess.m for details) directory for details. The derived files are stored as EEGLAB .set files in a directory structure identical to that of the raw files. Please note that the *_channels.tsv files associated with the derived files have been updated with status information about each channel ("good" or "bad"). The "bad" channels are – for the sake of consistency – interpolated, and thus still present in the data. It might be advisable to remove these channels in some analyses, as they (per definition) do not provide anything to the EEG data. The cleaned data signals are referenced to the average reference (including the interpolated channels).

Please mind the automatic nature of the employed pipeline. It might not perform optimally on all data files (e.g. over-/underestimating proportion of bad channels). For publications, we recommend implementing a more sensitive cleaning pipeline.

Demographic and cognitive test data

The participants.tsv file in the root folder contains the variables age, sex, and a range of cognitive test scores. See the sidecar participants.json for more information on the behavioural measures. Please note that these measures were collected in connection with the "t1" session recording.

How to cite

All use of this dataset in a publication context requires the following paper to be cited:

Hatlestad-Hall, C., Rygvold, T. W., & Andersson, S. (2022). BIDS-structured resting-state electroencephalography (EEG) data extracted from an experimental paradigm. Data in Brief, 45, 108647. https://doi.org/10.1016/j.dib.2022.108647

Contact

Questions regarding the EEG data may be addressed to Christoffer Hatlestad-Hall (chr.hh@pm.me).

Question regarding the project in general may be addressed to Stein Andersson (stein.andersson@psykologi.uio.no) or Trine W. Rygvold (t.w.rygvold@psykologi.uio.no).