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Dataset model

Table of contents

  1. Introduction
  2. Dataset fields
  3. Types of environment type
  4. Permissions
  5. Dataset API access

Introduction

Experimental setups describe where experiments, procedures, or manipulations takes place. It also describes the environment of a recorded subject. Experimental setups has physical dimensions and installations associate with it.

Dataset fields

FieldDescription
NameName of the experimental setup (required)
Environment typeThe type of environment the setup is of (required)
Authenticated groupsGroups that have change permissions for this experimental setup (required)
DescriptionText description of the experimental setup
ImageImage of the setup
Public accessDetermines if the setup is public or private
Physical dimensionsAny physical dimensions used to describe the setup. Each dimension is a name value pair with any associated units or description.

Types of environment type

  • Barnes maze
  • Circular track
  • Elevated plus maze
  • Elevated zero maze
  • Figure eight maze
  • Forced swim test
  • Head-fixed disc
  • Homecage
  • Linear Track
  • Morris water maze
  • Open field environment
  • Radial arm maze
  • Running wheel
  • Sleepbox
  • Square cage
  • Theta maze
  • T-maze
  • Y-maze
  • Other

Permissions

Experimental setups define the overall permissions level for installations. You manage permissions through the management tab, where you can assign individual users and groups access levels to a Experimental setup. Experimental setup have four permission levels: membership (read access), change permissions, managers, and owners.

Visit the [permissions page] to learn more.

Dataset API access

The API allows for programmable access to Experimental setups, enabling you to read, edit, and delete Experimental setups through the API. Learn more about the datasets’ fields and data structure on the Dataset API page.