1. How to download a datafile
There are several ways to download datafiles.
1.1. Get Data button
- Display a list of papers that you want to download data.
- Press ‘Get Data’ button.
- Select the type of the datafile. After pressing, please wait for several minutes until the system loads the all data. This action outputs the data of all papers in the list, including the papers in the next papers. It may look like you failed in clicking the button, but it is working if it is showing ‘Now loading’ in the background, so please just wait. When finished, a save-file-dialog automatically appears. Then save the datafile in your local computer.
1.2. Visualization button
When you want interpolated data at specific temperatures (300 K, 400 K, …), you can use the feature of the visualization button. Display the list of papers that you want to get data, and press ‘Visualization’. Then, a dialog appears, so input the interval of the temperatures, press ‘Visualize’, and wait for several minutes until the interpolation of all data finishes.
The fitting-type contains polynomial fits from 1st to 5th orders. The ‘bestfit’ takes the results of fitting of the maximum order that did not cause fitting problems. (Usually, when n data points are available, fitting at nth order fails. In such cases, we have to use fitting results of n-1th order, instead of nth order. )
We are sorry that we can use this feature only for the data with temperature in the x-axis. Also, when you have too many datasets in the paper list, you may face server timeout. In such cases, try getting the data from a smaller paper list.
2. Types of the datafiles
2.1. CSV (Simple style)
CSV (comma separated variables) is a two-dimensional table-like format, in which the fields are separated by commas. CSV files can be easily read in text editors, spreadsheet softwares such as Microsoft Excel, and in various chart-plotting softwares. One line corresponds to one data point, and each line contains all information such as titles of paper, author names and journal names. As a result, it sometimes becomes a very very long file, exceeding the upper limit of Excel (65535 lines).
2.2. JSON (Simple style)
This JSON file in the simple style is a direct conversion of above CSV file. JSON (JavaScript object notation) is a format that can be used to express both two-dimensional and tree-like data. This is difficult to read in Excel and many chart-plotting softwares, but can easily be read in recent script languages such as JavaScript and python.
2.3. JSON (RDB style)
RDB (relational database) format is the format that express information in a set of the tables, avoiding . This is the lightest format, and the most recommended format for the advanced users. The data is stored in tree format. The data is composed of five tables (sections): ‘paper’, ‘figure’, ‘sample’, ‘property’ and ‘rawdata’. The details of each table is explained in the next section.
Starrydata 