We've created several ways to view the data resources that we curate. Each gives a slightly different way to explore our resources. More information about how we collect and organize these data resources is available on our About Us page.
We recommend this as a starting place for most researchers, especially those who are new to large-scale datasets. This view provides a table of all the high-level research areas with which we tag each data resource, like attention, categorization, or language acquisition. Clicking on each term will bring you to a list of all data resources tagged with that research area.
The direct views of data resources are an interesting way to explore the data resources in more depth. This view lists all data resources in a single table (available in a paginated or single-page view). We do our best to take a wide view of how each of our data resources could be used, but there are undoubtedly even more creative ways to use these data that we haven't yet considered. Directly browsing all data resources – or winnowing them down to one of the two narrower views below – can be a way to further mine our data resources.
This view presents only the data resources that we categorize as datasets. Essentially, this view includes only data resources about a single question or topic, although the data themselves can be quite varied. For example, datasets can include one or many different types of data, and they can be collected at a single time point or over decades.
This view presents data resources that we categorize as repositories or lists. These data resources all encompass multiple datasets, whether in a single interface or in a simple list. Many of these repositories and lists house a large number of individual datasets with a range of different uses.