five

Data from: Surrounding pathogens shape maternal egg care but not egg production in the European earwig|生态学数据集|母性行为数据集

收藏
DataONE2017-09-21 更新2024-06-26 收录
生态学
母性行为
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
资源简介:
Pathogens are ubiquitous in nature and typically entail major fitness costs in their hosts. These costs can be particularly important when individuals exhibit poor immune defenses, as it is often the case during early developmental stages. Hence, selection should favor parental strategies limiting the risks of pathogen exposure and infection in their offspring. In this study, we investigated 1) whether females of the European earwig Forficula auricularia avoid areas contaminated with spores of the entomopathogenic fungus Metarhizium brunneum prior to and at egg laying, as well as 2) whether spore presence entails an increase in females’ investment into both pre-hatching forms of care and clutch quantity and quality. Our results first show that females did not avoid contaminated areas prior to and at egg laying. However, females returned to their eggs faster in presence of living spores compared to UV-killed or no spores. They were also more likely to construct a nest when in presence of both living and UV-killed spores (but only in one studied population). Finally, we found that spore presence did not influence maternal investment into egg grooming, egg gathering and egg defense, as well as into clutch quantity and quality. Overall, our results demonstrate that earwig females do not avoid contaminated environments, but could mitigate the associated costs of pathogen exposure by adjusting their level of egg care. These findings emphasize the importance of pathogens in the evolution of pre-hatching parental care and, more generally, in the emergence and maintenance of family life in nature.
创建时间:
2017-09-21
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  4098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

中国劳动力动态调查

“中国劳动力动态调查” (China Labor-force Dynamics Survey,简称 CLDS)是“985”三期“中山大学社会科学特色数据库建设”专项内容,CLDS的目的是通过对中国城乡以村/居为追踪范围的家庭、劳动力个体开展每两年一次的动态追踪调查,系统地监测村/居社区的社会结构和家庭、劳动力个体的变化与相互影响,建立劳动力、家庭和社区三个层次上的追踪数据库,从而为进行实证导向的高质量的理论研究和政策研究提供基础数据。

中国学术调查数据资料库 收录

Walmart Sales Data

该数据集包含了Walmart不同分店的销售交易数据,旨在分析销售趋势、顾客行为和产品表现,以优化销售策略。数据集来源于Kaggle的Walmart销售预测竞赛,涵盖了45家不同地区的Walmart商店的销售数据。

github 收录

OMIM (Online Mendelian Inheritance in Man)

OMIM是一个包含人类基因和遗传疾病信息的在线数据库。它提供了详细的遗传疾病描述、基因定位、相关文献和临床信息。数据集内容包括疾病名称、基因名称、基因定位、遗传模式、临床特征、相关文献引用等。

www.omim.org 收录

BBGRE

The Brain & Body Genetic Resource Exchange (BBGRE) provides a resource for investigating the genetic basis of neurodisability. It combines phenotype information from patients with neurodevelopmental and behavioural problems with clinical genetic data, and displays this information on the human genome map.

国家生物信息中心 收录

GLUCOBENCH

GLUCOBENCH是由德克萨斯A&M大学统计系和电气与计算机工程系共同创建的一个综合数据集,旨在为连续血糖监测(CGM)数据的预测模型提供标准化的评估平台。该数据集包含五个公开的CGM数据集,涵盖不同规模和人口特征,数据量从5个到超过200个患者不等。数据集的创建过程包括数据预处理、插值和分割,确保数据质量。GLUCOBENCH主要应用于糖尿病管理领域,旨在通过提高血糖轨迹预测的准确性和不确定性量化,改善糖尿病患者的治疗效果和自主管理能力。

arXiv 收录