A Virtual Library for Behavioral Performance in Standard Conditions – Experiment 04 Q28 Effect of an NMDA lesion of the OFC on the development 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 behaviorsimilar 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. <br>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 schemaone 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. <br>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.

除了特定实验本身的价值外，行为视频记录还具有未来价值；例如，可作为新实验的输入，或用于尚未可知的行为分析类型——类似于生命科学中的组织或血液样本库，其中临床来源或其他描述详尽的实验样本被储存起来，以备未来未知的潜在用途。<br>针对强迫症动物模型的研究采用了标准化范式：在每次测试中，录制大鼠在大型开阔场中的行为视频，时长55分钟。来自43项实验的19976次此类试验，累计超过2年的连续录制时长。除视频外，还有两类视频衍生的原始数据对象：XY运动坐标和动物轨迹图。为促进未来复用，这三类原始数据对象均采用通用模式（schema）——该模式将数据记录从具体实验中抽象出来，同时提供与行为表现相关的自变量详细列表。这些原始数据对象以43个数据集的形式存放，但在功能上构成一个包含大型数据集的库。<br>其规模与注释模式赋予该库较高的复用潜力，可应用于机器学习技术、细微因素的统计评估、新实验模拟，或作为教育资源。最终，该库可同时作为种子库与测试平台，用于构建一个可机器检索的虚拟库，其中包含针对特定条件下行为表现的关联开放数据集。