five

Data from: Variation of anal fin egg-spots along an environmental gradient in a haplochromine cichlid fish

收藏
DataONE2016-12-27 更新2024-06-26 收录
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
资源简介:
Male secondary sexual traits are targets of inter- and/or intrasexual selection, but can vary due to a correlation with life-history traits or as by-product of adaptation to distinct environments. Trade-offs contributing to this variation may comprise conspicuousness toward conspecifics versus inconspicuousness toward predators, or between allocating resources into coloration versus the immune system. Here, we examine variation in expression of a carotenoid-based visual signal, anal-fin egg-spots, along a replicate environmental gradient in the haplochromine cichlid fish Astatotilapia burtoni. We quantified egg-spot number, area, and coloration; applied visual models to estimate the trait's conspicuousness when perceived against the surrounding tissue under natural conditions; and used the lymphocyte ratio as a measure for immune activity. We find that (1) males possess larger and more conspicuous egg-spots than females, which is likely explained by their function in sexual selection; (2) riverine fish generally feature fewer but larger and/or more intensely colored egg-spots, which is probably to maintain signal efficiency in intraspecific interactions in long wavelength shifted riverine light conditions; and (3) egg-spot number and relative area correlate with immune defense, suggesting a trade-off in the allocation of carotenoids. Taken together, haplochromine egg-spots feature the potential to adapt to the respective underwater light environment, and are traded off with investment into the immune system.
创建时间:
2016-12-27
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

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

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

Simulation of rear wheel steering in a vehicle towing a single axle trailer with variable load distribution

This is the dataset for a publication on the stability of automotive vehicles when towing single axle trailers. The loading of the trailer is critical for stability, if the load distribution is too far back, then the trailer will begin to sway uncontrollably, dictating the track of the vehicle.In this research, small proportional control of the rear wheel steering of a larger towing vehicle is shown to be able to further stabilize the system easily, thus improving the safety margin. This is based on control measurements of the yaw angle, either directly measured or inferred from rear camera / parking sensor measurements.The simulation environment is Simulink and all scripts are included to initialise and plot the results. The work is based on the built in example "Two axle vehicle towing one axle trailer" with modifications to enable control algorithms for rear wheel steering control and variable load distribution. Reference for the original model is available at:T. M. Inc., Vehicle dynamics blockset version: 2.0 (r2023a) (2022). https://www.mathworks.comT. M. Inc., Trailer body 3dof documentation (2020). https://uk.mathworks.com/help/vdynblks/ref/trailerbody3dof.html<br>

DataCite Commons 收录

VisDrone2019

VisDrone2019数据集由AISKYEYE团队在天津大学机器学习和数据挖掘实验室收集,包含288个视频片段共261,908帧和10,209张静态图像。数据集覆盖了中国14个不同城市的城市和乡村环境,包括行人、车辆、自行车等多种目标,以及稀疏和拥挤场景。数据集使用不同型号的无人机在各种天气和光照条件下收集,手动标注了超过260万个目标边界框,并提供了场景可见性、对象类别和遮挡等重要属性。

github 收录

ShapeNet

ShapeNet 是由斯坦福大学、普林斯顿大学和美国芝加哥丰田技术研究所的研究人员开发的大型 3D CAD 模型存储库。该存储库包含超过 3 亿个模型,其中 220,000 个模型被分类为使用 WordNet 上位词-下位词关系排列的 3,135 个类。 ShapeNet Parts 子集包含 31,693 个网格,分为 16 个常见对象类(即桌子、椅子、平面等)。每个形状基本事实包含 2-5 个部分(总共 50 个部分类)。

OpenDataLab 收录