five

Data from: The greatest hits of all time: the histories of dominant genera in the fossil record|古生物学数据集|化石记录数据集

收藏
DataONE2018-03-28 更新2024-06-25 收录
古生物学
化石记录
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
资源简介:
Certain taxa are noticeably common within collections, widely distributed, and frequently long-lived. We have examined these dominant genera as compared to rarer genera, with a focus on their temporal histories. Using occurrence data from the Paleobiology Database, we determined which genera belonging to six target groups ranked among the most common within each of 49 temporal bins based on occurrences. The turnover among these dominant taxa from bin-to-bin was then determined for each of these groups and all six groups pooled. Although dominant genera are only a small fraction of all genera, the patterns of turnover mimic those seen in much larger compilations of total biodiversity. We also found that differences in patterns of turnover at the top ranks among the higher taxa reflect previously documented comparison of overall turnover among these classes. Both dominant and non-dominant genera exhibit on average symmetrical patterns of rise and fall between first and last appearances. Dominant genera rarely begin at high ranks, but nevertheless tend to be more common when they first appear than non-dominant genera. Moreover, dominant genera rarely are in the Top 20 when they last appear, but still typically occupy more localities than non-dominant genera occupy in their last interval. The mechanism(s) that produce dominant genera remain unclear. Nearly half of dominant genera are the type genus of a family or subfamily. This is consistent with a simple model of morphological and phylogenetic diversification and sampling.
创建时间:
2018-03-28
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  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

WideIRSTD Dataset

WideIRSTD数据集包含七个公开数据集:SIRST-V2、IRSTD-1K、IRDST、NUDT-SIRST、NUDT-SIRST-Sea、NUDT-MIRSDT、Anti-UAV,以及由国防科技大学团队开发的数据集,包括模拟陆基和太空基数据,以及真实手动标注的太空基数据。数据集包含具有各种目标形状(如点目标、斑点目标、扩展目标)、波长(如近红外、短波红外和热红外)、图像分辨率(如256、512、1024、3200等)的图像,以及不同的成像系统(如陆基、空基和太空基成像系统)。

github 收录

Ansh007/Jellyfish-Image-Dataset

该数据集包含900张水母图像,分为六个不同的类别和物种:紫水母、月亮水母、桶水母、蓝水母、罗盘水母和狮鬃水母。这些图像可用于机器学习技术,以获得水母分类、物种识别和颜色分析的洞察。每个物种都有详细的描述,包括其特征和食物来源。此外,数据集还提供了使用案例,如水母分类、物种识别和颜色分析。

hugging_face 收录

CliMedBench

CliMedBench是一个大规模的中文医疗大语言模型评估基准,由华东师范大学等机构创建。该数据集包含33,735个问题,涵盖14个核心临床场景,主要来源于顶级三级医院的真实电子健康记录和考试练习。数据集的创建过程包括专家指导的数据选择和多轮质量控制,确保数据的真实性和可靠性。CliMedBench旨在评估和提升医疗大语言模型在临床决策支持、诊断和治疗建议等方面的能力,解决医疗领域中模型性能评估的不足问题。

arXiv 收录

中国农村金融统计数据

该数据集包含了中国农村金融的统计信息,涵盖了农村金融机构的数量、贷款余额、存款余额、金融服务覆盖率等关键指标。数据按年度和地区分类,提供了详细的农村金融发展状况。

www.pbc.gov.cn 收录

YOLO-dataset

该数据集用于训练YOLO模型,包括分类、检测和姿态识别模型。目前支持v8版本,未来计划支持更多版本。

github 收录