We started Starrydata as a database of experimental thermoelectric properties. Therefore, many of the initial datasets are on thermoelectric materials. However, we would like to let Starrydata be used in many more research fields. Although we designed Starrydata to be useful for material scientists (especially for inorganic materials), it should be applicable for any research fields, in which plot data in papers take important roles.
When research fields are different, the papers to search from may be different. Therefore, we separated the entrance of the database, by research fields. Each database have different lists of papers. Users can generate different paper lists for each research field. (The paper lists are private, so they are not shared to other users.) If the user have one or more paper lists in the research field, the database is highlighted in the top page. If a paper belongs to multiple databases, the data associated to the paper are shared over the different databases. The ‘General’ database contain all the papers, across all the research field. If you don’t have a specific research field, this may be the best database to make your own paper list.
We are waiting for researchers of the other fields, to start data collection using our system. Material scientists (magnetic materials, strongly correlated electron systems, superconductors, ferroelectrics, catalysts, steels, light-emitting materials, solar cells, polymers etc.) are welcome. Other scientists (physics, chemistry, geology, biology etc.) are also welcome. We are ready to start a database of research fields, once we get contact from the contact page.
List of databases (research fields)
1. ThermoelectricMaterials
Thermoelectric materials can convert temperature difference and electricity. They can be used to cool something by flowing electric current, and for small-scale power generation from temperature difference.
Most of thermoelectric materials are inorganic compounds. There are also some organic thermoelectric materials. They are characterized as heavily-doped semiconductors with low thermal conductivity.
Thermoelectric properties have strong sample-dependence. They change drastically with changing carrier density. Good thermoelectric properties often evolve in dirty samples rather than in clean samples. These make the prediction of the good parent compound very difficult.
Starrydata 