Behavior inventory used to code the model dog subtest videos.

NIAID Data Ecosystem2026-05-10 收录

动物行为编码

犬行为分析

数据链接：

https://figshare.com/articles/dataset/Behavior_inventory_used_to_code_the_model_dog_subtest_videos_/30658236 数据链接链接失效反馈

官方服务：

资源简介：

Behavior inventory used to code the model dog subtest videos.

创建时间：

2025-11-19

Weekly data cats for home trial

犬行为分析

机器学习

Dataset accompanying the paper "How lazy are pet cats really? Using machine learning and accelerometry to get a glimpse into the behaviour of privately owned cats in different households"

DataCite Commons2025-06-01 更新140

Data and code for: A standardised approach to quantifying activity in domestic dogs

犬行为分析

健康监测

Objective assessment of activity via accelerometry can provide valuable insights into dog health and welfare. Common activity metrics involve using acceleration cut-points to group data into intensi

DataCite Commons2025-05-01 更新50

Data_Sheet_1_Multivariate Analysis of Open Field Exploration Identifies Latent Spatial and Social Behavioral Axes in Domestic Dogs.PDF

犬行为分析

运动模式识别

Recent methodological advances in studying large scale animal movements have let researchers gather rich datasets from behaving animals. Often collected in small sample sizes due to logistical constra

NIAID Data Ecosystem30

Barking Dogs

噪音管理

犬行为分析

Polygon data for each suburb counting barking dog kits in Geelong. Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Greate

www.geelongdataexchange.com.au2015-05-20 更新110

How lazy are pet cats really? Using machine learning and accelerometry to get a glimpse into the behaviour of privately owned cats in different households

犬行为分析

动物活动监测

Surprisingly little is known about how the home environment influences the behaviour of pet cats. This study aimed to determine how factors in the home environment (e.g., with or without outdoor acces

Figshare2023-12-18 更新40

Behavior inventory used to code the model dog subtest videos.

资源简介：

相关数据集