five

Anticipatory plasticity: frog embryos respond to environmental cues by producing an adaptive phenotype at hatching|发育可塑性数据集|生物适应性数据集

收藏
Mendeley Data2024-05-10 更新2024-06-27 收录
发育可塑性
生物适应性
下载链接:
https://zenodo.org/records/7622620
下载链接
链接失效反馈
资源简介:
Developmental plasticity can occur at any life stage, but a context in which it might be crucial is when individuals that produce specific phenotypes early in development gain a competitive advantage at a later life stage. Here we asked if pre-hatching (embryonic) exposure to a nutrient-rich resource can impact hatchling morphology in tadpoles of Mexican spadefoot toads, Spea multiplicata. Induction of a distinctive carnivore morph can occur when a tadpole eats live fairy shrimp. We investigated whether cues from fairy shrimp, detected as embryos, determine hatchling morphology in a manner allowing individuals to take advantage of this nutritious resource. We found that hatchlings with embryonic exposure to shrimp were larger and had larger jaw muscles––traits that increase their ability to compete for shrimp. Thus, embryos can assess and respond to environmental cues by producing preemptive resource-use phenotypes. Such anticipatory plasticity may be an important but understudied form of developmental plasticity.
创建时间:
2023-06-28
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1km分辨率逐月降水量数据集(1901-2024)

该数据集为中国逐月降水量数据,空间分辨率为0.0083333°(约1km),时间为1901.1-2024.12。数据格式为NETCDF,即.nc格式。该数据集是根据CRU发布的全球0.5°气候数据集以及WorldClim发布的全球高分辨率气候数据集,通过Delta空间降尺度方案在中国降尺度生成的。并且,使用496个独立气象观测点数据进行验证,验证结果可信。本数据集包含的地理空间范围是全国主要陆地(包含港澳台地区),不含南海岛礁等区域。为了便于存储,数据均为int16型存于nc文件中,降水单位为0.1mm。 nc数据可使用ArcMAP软件打开制图; 并可用Matlab软件进行提取处理,Matlab发布了读入与存储nc文件的函数,读取函数为ncread,切换到nc文件存储文件夹,语句表达为:ncread (‘XXX.nc’,‘var’, [i j t],[leni lenj lent]),其中XXX.nc为文件名,为字符串需要’’;var是从XXX.nc中读取的变量名,为字符串需要’’;i、j、t分别为读取数据的起始行、列、时间,leni、lenj、lent i分别为在行、列、时间维度上读取的长度。这样,研究区内任何地区、任何时间段均可用此函数读取。Matlab的help里面有很多关于nc数据的命令,可查看。数据坐标系统建议使用WGS84。

国家青藏高原科学数据中心 收录

LIDC-IDRI

LIDC-IDRI 数据集包含来自四位经验丰富的胸部放射科医师的病变注释。 LIDC-IDRI 包含来自 1010 名肺部患者的 1018 份低剂量肺部 CT。

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

EdNet

displayName: EdNet license: - CC BY-NC 4.0 paperUrl: https://arxiv.org/pdf/1912.03072v3.pdf publishDate: "2019" publishUrl: https://github.com/riiid/ednet publisher: - University of Michigan - Yale University - University of California, Berkeley - Riiid AI Research tags: - Student Activities taskTypes: - Knowledge Tracing --- # 数据集介绍 ## 简介 圣诞老人收集的各种学生活动的大规模分层数据集,一个配备人工智能辅导系统的多平台自学解决方案。 EdNet 包含 2 年多来收集的 784,309 名学生的 131,441,538 次互动,这是迄今为止向公众发布的 ITS 数据集中最大的。资料来源:EdNet:教育中的大规模分层数据集 ## 引文 ``` @inproceedings{choi2020ednet, title={Ednet: A large-scale hierarchical dataset in education}, author={Choi, Youngduck and Lee, Youngnam and Shin, Dongmin and Cho, Junghyun and Park, Seoyon and Lee, Seewoo and Baek, Jineon and Bae, Chan and Kim, Byungsoo and Heo, Jaewe}, booktitle={International Conference on Artificial Intelligence in Education}, pages={69--73}, year={2020}, organization={Springer} } ``` ## Download dataset :modelscope-code[]{type="git"}

魔搭社区 收录

DIPSEER: A Dataset for In-Person Student Emotion and Engagement Recognition in the Wild

DIPSEER是一个用于识别学生情绪和参与度的数据集,包含图像、标签和传感器数据。

github 收录