A Virtual Library for Behavioral Performance in Standard Conditions – Experiment 33 Q22 Effect of testing under infra-red illumination on the expression of sensitization and compulsive checking

Beyond their specific experiment, video records of behavior have future value; for example, as inputs for new experiments or for yet unknown types of analysis of behavior—similar to tissue or blood sample banks in life sciences where clinically-derived or otherwise well-described experimental samples are stored to be available for some unknown potential future purpose. Research using an animal model of obsessive-compulsive disorder employed a standardized paradigm where the behavior of rats in a large open field was video recorded for 55 min on each test. From 43 experiments, there are 19,976 such trials that amount to over 2 years of continuous recording. In addition to videos, there are two video-derived raw data objects: XY locomotion coordinates, and plots of animal trajectory. To motivate future use, the three raw data objects are annotated with a general schema—one that abstracts the data records from their particular experiment while providing, at the same time a detailed list of independent variables bearing on behavioral performance. The raw data objects are deposited as 43 datasets but constitute, functionally, a library containing one large dataset. Size and annotation schema give the library high re-use potential: in applications using machine learning techniques, statistical evaluation of subtle factors, simulation of new experiments, or as educational resource. Ultimately, the library can serve both as the seed and the test bed to create a machine searchable virtual library of linked open datasets for behavioral performance in defined conditions.

除服务于自身所属的特定实验外，行为视频记录具备长期复用价值：例如可作为新实验的输入数据，或用于未来未知类型的行为分析——这与生命科学领域的组织或血液样本库相仿：后者会存储临床来源或经过完整描述的实验样本，以供未来潜在的未知研究使用。本研究以强迫症（Obsessive-Compulsive Disorder, OCD）动物模型为对象，采用标准化实验范式：在每一次测试中，对大型开放场地中大鼠的行为进行55分钟的视频录制。本数据集源自43项实验，共计19976次测试，总连续录制时长超过2年。除视频文件外，本数据集还包含两类由视频提取得到的原始数据对象：大鼠的XY运动坐标，以及动物运动轨迹图。为提升后续复用便利性，三类原始数据对象均通过通用标注模式（Schema）进行标注：该模式可将数据记录脱离其所属的特定实验场景实现抽象，同时提供与行为表现相关的详细自变量清单。这些原始数据对象以43个独立数据集的形式存储，但从功能层面而言，它们共同构成了一个集成完整大型数据集的资源库。该资源库的规模与标注架构赋予其极高的复用潜力：可应用于机器学习（Machine Learning）技术相关场景、细微影响因素的统计评估、新实验模拟，或作为教学资源使用。最终，该资源库既可作为构建标准化条件下行为表现关联开放数据集机器可检索虚拟库的雏形，也可作为其测试载体。