The UE4W dataset was recorded over a period of approximately two weeks by a singe adult male. We found that keeping accurate records and labeling were impractical so it was archived. However, recent advances in representation and unsupervised learning have led us to look at it again. The dataset contains over 250 hours of recordings using an Empatica E4 wristband. In general the longer files are daytime recordings, the shorter ones are nighttime. The tags indicate the beginning and end of an event change (E.g., getting up to go for walk) however the lack of a tag is not a meaningful indicator. A Jupyter notebook is provided which processes each file into a Pandas dataframe and generates a windowed plot of the total acceleration. Additional and updated code may be found on our IMICS lab github. Several reference screenshots from the Empatica Connect Website are also included.