A dataset is a modular construction that provides flexible and standardized descriptions of various aspects of experiments. The dataset has a number of direct fields, but is primarily described by the module below. There are dedicated tabs with further details on the modules: Behaviors, Experiment data, and Manipulations.
The submission form consists of two parts. First, you fill in the required fields. Once you click "Create and continue," the project entry is created, and you can continue editing it on the second part of the form, which contains all the fields. The second part of the form automatically keeps track of your changes and saves as you fill out the form.
The dataset inherits permissions from projects associated with it. Data storage is shared through the project's groups, and you can only add a data storage associated with the same groups as the selected projects. The relationships in modules also depend on the selected projects. For more information on permissions, please visit the permissions page.
The API allows for programmable access to datasets. For detailed information about the datasets' fields and data structure, please refer to the API documentation on the Dataset API endpoint.
The behavior model is a module in datasets that is used to describe the behavior occuring in a dataset. The behavior is described by the involved subjects, the experimental setup, and a behavioral paradigm. Both the experimental setup and the behavioral paradigm are private attributes and must be defined separately. You must create both before filling in the behavior form. The private attributes belong to group(s) that must be shared with one of a dataset's associated projects.
A behavior inherits permissions from the dataset associated with it. For more information on permissions, please visit the permissions page.
The API allows for programmable access to behaviors, enabling you to read, edit, and delete behaviors through the API. For details about the behavior's fields and data structure, refer to the API documentation of the Behavior API endpoint.
Experiment data encompasses the diverse range of data types acquired during scientific experiments. These data types are crucial for understanding the complex workings of the brain and nervous system, offering insights into neural function, structure, behavior, and the effects of various interventions. Experiment data types share relationships, but fields are tailored to the various data-types.
Experiment data inherits permissions from projects via the dataset associate with the entry. For more information on permissions, please visit the permissions page.
The API allows for programmable access to Experiment data, enabling you to read, edit, and delete entries through the API. For details about the Experiment data fields and data structure, refer to the API documentation of the Experiment data API endpoint.
Manipulations refers to various methods and techniques used to alter, control, or influence neural activity, brain functions, or behaviors in experimental settings. These manipulations are crucial for understanding the mechanisms underlying neural processes, the effects of various stimuli or interventions on the brain, and the development of potential therapies for neurological conditions. Manipulations are tied to a dataset and to a subject through procedures.
Manipulations inherit permissions from projects via the dataset associate with the entry. For more information on permissions, please visit the permissions page.
The API allows for programmable access to manipulations, enabling you to read, edit, and delete manipulations through the API. For details about the manipulation's fields and data structure, refer to the API documentation on the Manipulation API endpoint.