five

Impact of Small, Canadian Arctic River Flows (SCARFS) to the Freshwater Budget of the Canadian Archipelago, 2014 - 2016|北极研究数据集|水文研究数据集

收藏
DataONE2020-07-16 更新2024-06-08 收录
北极研究
水文研究
下载链接:
https://search.dataone.org/view/doi:10.18739/A2F18SG0C
下载链接
链接失效反馈
资源简介:
This three-year study proposes to characterize the geochemistry of the largely unstudied, remote rivers and estuaries in the Canadian Arctic Archipelago (CAA), with the ultimate aim of resolving the contribution of local freshwater inputs to CAA boundary currents. The investigators will target seven rivers for sampling. River sampling will occur during different flow regimes, but will emphasize sample collection during the spring freshet, the time of year when terrestrial runoff from local CAA rivers maximally impacts coastal waters. Estuarine sampling will include both horizontal and vertical profiles. The data will be synthesized and interpreted using mixing models and regression analyses, and compared with data for the Mackenzie and Yukon Rivers, which have historically been considered "typical" for North American runoff to the Arctic. Acceleration of glacial melt and the hydrologic cycle in a warmer world will likely increase local inputs of freshwater to the CAA. Because many such changes may already be underway, it is important to establish a baseline by which future changes can be compared. The proposed research has implications regarding the variability and magnitude of freshwater export from the Arctic and subarctic oceans to the North Atlantic, and the findings will help fill significant gaps in the knowledge of CAA river geochemistry and the Arctic freshwater cycle. The project will catalyze a new partnership among faculty, researchers, and students at the Applied Physics Laboratory and Northwestern University. Moreover, the research will include hands-on participation from local community members who will collect samples during various times of year to extend the temporal coverage of the study. Data will be made publicly available via websites and databases for maximum visibility, dispersion, and long-term archival. Additional activities include teaching and training of a postdoctoral student, incorporation of project findings into curricular materials, and outreach to K-12 students from traditionally underrepresented groups.
创建时间:
2020-07-16
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

中国气象数据

本数据集包含了中国2023年1月至11月的气象数据,包括日照时间、降雨量、温度、风速等关键数据。通过这些数据,可以深入了解气象现象对不同地区的影响,并通过可视化工具揭示中国的气温分布、降水情况、风速趋势等。

github 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

GME Data

关于2021年GameStop股票活动的数据,包括每日合并的GME短期成交量数据、每日失败交付数据、可借股数、期权链数据以及不同时间框架的开盘/最高/最低/收盘/成交量条形图。

github 收录

YOLO Drone Detection Dataset

为了促进无人机检测模型的开发和评估,我们引入了一个新颖且全面的数据集,专门为训练和测试无人机检测算法而设计。该数据集来源于Kaggle上的公开数据集,包含在各种环境和摄像机视角下捕获的多样化的带注释图像。数据集包括无人机实例以及其他常见对象,以实现强大的检测和分类。

github 收录

jpft/danbooru2023

Danbooru2023是一个大规模的动漫图像数据集,包含超过500万张由爱好者社区贡献并详细标注的图像。图像标签涵盖角色、场景、版权、艺术家等方面,平均每张图像有30个标签。该数据集可用于训练图像分类、多标签标注、角色检测、生成模型等多种计算机视觉任务。数据集基于danbooru2021构建,扩展至包含ID #6,857,737的图像,增加了超过180万张新图像,总大小约为8TB。图像以原始格式提供,分为1000个子目录,使用图像ID的模1000进行分桶,以避免文件系统性能问题。

hugging_face 收录