five

Diving Related Changes in the Blood Oxygen Stores of Rehabilitating Harbor Seal Pups|海洋生物学数据集|动物康复数据集

收藏
Mendeley Data2024-01-31 更新2024-06-28 收录
海洋生物学
动物康复
下载链接:
https://figshare.com/articles/dataset/Diving_Related_Changes_in_the_Blood_Oxygen_Stores_of_Rehabilitating_Harbor_Seal_Pups/1309301
下载链接
链接失效反馈
资源简介:
This dataset was collected from maternally dependent harbor seal (Phoca vitulina) pups that were admitted to the Marine Animal Rehabilitation and Conservation (MARC) program in Biddeford, Maine, USA in the spring/summer of 2012. All hematological data were collected for husbandry or veterinary purposes and used opportunistically for this study. The dive data available in this dataset were collected using several ReefNet Sensus Ultra units which were each attached just posterior to the scapula of rehabilitating harbor seal pups. These units recorded time, pressure and temperature and collected all of this information every 3 seconds when the pups were below the water's surface. This information could thus be used to determine the amount of time animals spent submerged during their stay in rehabilitation. The Sensus Ultra units were removed by MARC staff during periods of animal discomfort or illness, and the units were occasionally removed by the animals during times of play, so the data are discontinuous. These data were used to study the simultaneous development of blood oxygen stores and diving behaviors during rehabiltiation in harbor seal pups. Please refer to the ReadMe.txt file for more information on the files within this fileset. The data in the "12-0xx Total Dives" files were analyzed using the diveMove package in R. The script written specifically to analyze data from these ReefNet Sensus Ultra tags in diveMove is available at the following location https://zenodo.org/record/15416
创建时间:
2024-01-31
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4099个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

中国区域交通网络数据集

该数据集包含中国各区域的交通网络信息,包括道路、铁路、航空和水路等多种交通方式的网络结构和连接关系。数据集详细记录了各交通节点的位置、交通线路的类型、长度、容量以及相关的交通流量信息。

data.stats.gov.cn 收录

PASCAL VOC 2007

这个挑战的目标是从现实场景中的许多视觉对象类别中识别对象(即不是预先分割的对象)。它基本上是一个监督学习问题,因为它提供了一组标记图像的训练集。已选择的 20 个对象类别是: 人:人 动物:鸟、猫、牛、狗、马、羊 交通工具:飞机、自行车、船、公共汽车、汽车、摩托车、火车 室内:瓶子、椅子、餐桌、盆栽、沙发、电视/显示器 将有两个主要比赛和两个较小规模的“品酒师”比赛。内容:提供的训练数据由一组图像组成;每个图像都有一个注释文件,为图像中存在的 20 个类别之一中的每个对象提供一个边界框和对象类别标签。请注意,来自多个类的多个对象可能出现在同一图像中。

OpenDataLab 收录

UAVDT Dataset

The authors constructed a new UAVDT Dataset focused on complex scenarios with new level challenges. Selected from 10 hours raw videos, about 80, 000 representative frames are fully annotated with bounding boxes as well as up to 14 kinds of attributes (e.g., weather condition, flying altitude, camera view, vehicle category, and occlusion) for three fundamental computer vision tasks: object detection, single object tracking, and multiple object tracking.

datasetninja.com 收录

Institutional and news media tweet dataset for COVID-19 social science research

本数据集名为‘Institutional and news media tweet dataset for COVID-19 social science research’,由巴塞罗那自治大学社会心理学系创建。该数据集收集了69个机构和新闻媒体的Twitter数据,涵盖政府、国际组织及北美、欧洲和亚洲的新闻媒体。数据集通过Twitter REST API从2020年3月12日开始收集,每周更新,旨在为危机沟通、公共关系等社会科学研究提供有价值的数据。数据集的创建过程涉及从不同类别的新闻媒体账户中提取和整理信息,确保数据的多样性和时效性。

arXiv 收录

SuMeyYao/ysmpubmedclt

该数据集的许可证为apache-2.0,主要用于表格问答任务,数据集语言为英语,大小介于1亿到10亿之间。

hugging_face 收录