Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Notice The data format has been updated for 2019 to align with a tidy data style (http://vita.had.co.nz/papers/tidy-data.html).
This data was collected from the Australian Public Holidays page on australia.gov.au. It is being republished in a machine-readable format on data.gov.au. The dataset is a single CSV covering all states and territories for 2019. This data is correct at the time of publishing but is subject to change.
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Data files include psychophysical measurements of perceived speed of moving surfaces that participants felt with their fingers. Judgements were made following adaptation to motion across the skin under various conditions (speed and texture were varied). Data files also include measures of contact force applied to the surfaces by the participants during the experiment. The data come from two experiments, both of which used a repeated measures design. Further description can be found in the associated publication, and in the readme file. The data files are tab delimited plain text, and are organised in the tidy data format (see http://vita.had.co.nz/papers/tidy-data.pdf) such that each variable forms a column, and each observation forms a row.
Included in this deposit are the scripts and data collected on the coverage of metadata by the CrossRef members. Collection date is March 27, 2018. The data is available in long, tidy, format. Each row depicts the coverage of one specific aspect, indicating which member and how many DOIs that member deposited. This allows for easy parsing in for example ggplot2 or dplyr.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Notice The data format has been updated for 2019 to align with a tidy data style (http://vita.had.co.nz/papers/tidy-data.html).
This data was collected from the Australian Public Holidays page on australia.gov.au. It is being republished in a machine-readable format on data.gov.au. The dataset is a single CSV covering all states and territories for 2019. This data is correct at the time of publishing but is subject to change.