five

Data for: Life in a changing environment: Dreissenids’ feeding response to different temperature

收藏
Mendeley Data2024-06-25 更新2024-06-29 收录
下载链接:
https://opendata.eawag.ch/dataset/quagga-filtration
下载链接
链接失效反馈
资源简介:
Invasive species have far-reaching consequences for whole ecosystems. In particular, filter feeders such as zebra and quagga mussels have a huge impact on lake ecosystems by filtering out resources that are otherwise used by native filter feeders. Quagga mussels can colonise deeper parts of a lake while zebra mussels prefer shallow areas. Both species show large variability in shell morphology, but only quagga mussels show a shallow and deep morphotype. The aim of this study is to investigate the depth adaptation of both dreissenid species. We hypothesize potential advantages of the quagga mussel over the zebra mussel with regard to feeding. We conducted common garden experiments, where we measured filtration rates at different temperatures (4, 12, and 20 °C) of quagga mussels collected from different water depths (1, 30, and 60 m) and compared them to zebra mussel from 1m depth. We found filtration rates to be strongly temperature dependent, and in particular, lower at 4 °C. Overall, zebra mussels fed less than quagga mussels taken from the same water depth. Quagga mussels collected from 1 m depth fed more at higher temperature than quaggas from 30 and 60 m depth. We hypothesize that deep-water mussels are less sensitive to lower temperature and have a higher temperature threshold to increase their filtration. Otherwise, filtration rates were independent of the depth of origin of the mussels. Our results indicate that zebra mussels are less competitive filter feeders compared to quagga mussels and quagga mussels are not locally adapted with regard to their feeding. Rather, quagga mussels are better accustomed to a wider range of temperatures in shallow water.
创建时间:
2023-11-03
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

COCA (Corpus of Contemporary American English)

COCA是一个包含超过5.2亿词的英语语料库,涵盖了从1990年至今的文本。它包括口语、小说、流行杂志、报纸和学术文章五种文体,旨在反映当代美国英语的使用情况。

www.english-corpora.org 收录

Nikkei 225

Nikkei 225,又称日经225指数,是日本东京证券交易所的一个重要股票市场指数,由225家日本大型上市公司组成。该指数是衡量日本股市表现的重要指标,涵盖了从制造业到服务业的多个行业。

indexes.nikkei.co.jp 收录

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

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

中国交通事故深度调查(CIDAS)数据集

交通事故深度调查数据通过采用科学系统方法现场调查中国道路上实际发生交通事故相关的道路环境、道路交通行为、车辆损坏、人员损伤信息,以探究碰撞事故中车损和人伤机理。目前已积累深度调查事故10000余例,单个案例信息包含人、车 、路和环境多维信息组成的3000多个字段。该数据集可作为深入分析中国道路交通事故工况特征,探索事故预防和损伤防护措施的关键数据源,为制定汽车安全法规和标准、完善汽车测评试验规程、

北方大数据交易中心 收录