five

Endurance swimming performance and physiology of juvenile sturgeon at different temperatures, 2022-2024

收藏
DataCite Commons2024-12-30 更新2025-04-15 收录
下载链接:
https://portal.edirepository.org/nis/mapbrowse?packageid=edi.1837.1
下载链接
链接失效反馈
资源简介:
Endurance swimming trials were conducted on both Green Sturgeon (Acipenser medirostris) and White Sturgeon (Acipenser transmontanus) across multiple size classes to assess the effects of temperature and velocity on swimming performance. Fish were exposed to various water temperatures for at least 14 days and swam at fixed-water velocities (cm/s) in controlled swim tunnels. Data were collected on parameters such as species, size class, trial temperature, velocity, recovery time, time-to-fatigue, swim type classifications, and whether the trials were completed. Additional metadata included fish morphometrics such as fork length, total length, weight, and trial dates, enabling comparisons across species, size, and treatment conditions. Physiological responses were measured post-swimming to evaluate the impacts of endurance trials on the smallest size class of Green Sturgeon (5cm fork length): - In 2022, whole-body cortisol, glucose, and lactate concentrations were measured immediately following endurance trials (0 min recovery). - In 2023, recovery dynamics were incorporated, with physiological responses assessed at multiple time points (0 min, 15 min, 30 min, and 60 min post-trial). - In 2022 and 2023 the baseline physiological metrics (whole-body cortisol, glucose, and lactate concentrations) of control fish (not subjected to swimming trials) were measured across all temperatures, years, species, and size classes. This dataset provides information on sturgeon swimming performance under varied temperature conditions, as well as the associated physiological stress responses, offering valuable insights into their endurance capabilities and recovery processes. The findings can inform conservation strategies, habitat management, and aquaculture practices for these ecologically and economically important species.
提供机构:
Environmental Data Initiative
创建时间:
2024-12-30
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

Figshare

Figshare是一个在线数据共享平台,允许研究人员上传和共享各种类型的研究成果,包括数据集、论文、图像、视频等。它旨在促进科学研究的开放性和可重复性。

figshare.com 收录

MMAUD

MMAUD是一个综合的多模态反无人机数据集,用于检测、分类、跟踪和轨迹估计紧凑型商用无人机威胁。数据集包含多种传感器数据,如3D激光雷达、同步相机、毫米波雷达和音频阵列节点。

github 收录

NIST Thermochemical Database

NIST Thermochemical Database(NIST热化学数据库)是一个包含大量热化学数据的数据集,涵盖了各种化学物质的热力学性质,如焓、熵、自由能等。该数据库由美国国家标准与技术研究院(NIST)维护,旨在为科学研究和工业应用提供准确的热化学数据。

webbook.nist.gov 收录

HIT-UAV

HIT-UAV数据集包含2898张红外热成像图像,这些图像从43,470帧无人机拍摄的画面中提取。数据集涵盖了多种场景,如学校、停车场、道路和游乐场,在不同的光照条件下,包括白天和夜晚。

github 收录

MLPerf Power

MLPerf Power数据集由MLCommons开发,旨在评估从微瓦到兆瓦级别机器学习系统的能效。该数据集包含1841条来自60个不同系统的测量数据,覆盖了从物联网设备到大型数据中心的广泛应用场景。数据集的创建过程涉及多个组织的协作,确保了测量方法的一致性和可比性。MLPerf Power数据集主要用于研究机器学习系统的能效优化,旨在为未来的可持续AI解决方案提供基准。

arXiv 收录