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？
CCDB - catchment characteristics data base Germany|地理信息数据集|水文研究数据集
收藏DataONE2022-01-05 更新2024-06-08 收录
下载链接：
https://search.dataone.org/view/sha256:f4b8559f97b3b88f7743c42c36313a381918bf7496bddfd1b8a5de0a32a107f4
下载链接
链接失效反馈资源简介：
This data set provides geoinformation data, natural and anthropogenic characteristics of 1386 catchments across Germany as part of the QUADICA data set.
The attributes include information on topography, land cover, lithology, soils, climate, hydrology, population density and nutrient sources and heterogeneity.
The calculated catchment attributes base on various publicly available and published resources referenced in the metadata of this repository.
The data set from this repository combines the two existing CCDB repositories for the German catchments (Ebeling, 2021: https://doi.org/10.4211/hs.0fc1b5b1be4a475aacfd9545e72e6839; Ebeling & Dupas, 2021: https://doi.org/10.4211/hs.c7d4df3ba74647f0aa83ae92be2e294b).
A corresponding paper \"Water quality, discharge and catchment attributes for large-sample studies in Germany - QUADICA\" by Ebeling et al. describing the QUADICA data set in detail will be made available in the Journal Earth System Science Data (https://www.earth-system-science-data.net/).
This repository includes:
1.) Data table with catchment attributes
2.) Metadata with the description of each catchment attribute and references to original publications and data resources.
3.) Shapefile with delineated catchment polygons
4.) Shapefile with stations.
Water quality and quantity data, as well as meteorological and N surplus time series are available in the \"QUADICA - water quality, discharge and catchment attributes for large-sample studies in Germany\" repository (https://doi.org/10.4211/hs.26e8238f0be14fa1a49641cd8a455e29). All repositories use the same unique identifier OBJECTID for each water quality station.
Note: the stations do not always fall within the delineated catchments as the catchment outlets were adapted according the stream network and the topographic flow accumulation grid.
Conditions: Please, reference both the original data publisher and this repository/corresponding paper Ebeling et al. for credits, when using the provided data.
创建时间：
2023-12-30
数据主题
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
Google Scholar
Google Scholar是一个学术搜索引擎，旨在检索学术文献、论文、书籍、摘要和文章等。它涵盖了广泛的学科领域，包括自然科学、社会科学、艺术和人文学科。用户可以通过关键词搜索、作者姓名、出版物名称等方式查找相关学术资源。
scholar.google.com 收录
中国食物成分数据库
食物成分数据比较准确而详细地描述农作物、水产类、畜禽肉类等人类赖以生存的基本食物的品质和营养成分含量。它是一个重要的我国公共卫生数据和营养信息资源，是提供人类基本需求和基本社会保障的先决条件；也是一个国家制定相关法规标准、实施有关营养政策、开展食品贸易和进行营养健康教育的基础，兼具学术、经济、社会等多种价值。 本数据集收录了基于2002年食物成分表的1506条食物的31项营养成分（含胆固醇）数据，657条食物的18种氨基酸数据、441条食物的32种脂肪酸数据、130条食物的碘数据、114条食物的大豆异黄酮数据。
国家人口健康科学数据中心 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
Figshare
Figshare是一个在线数据共享平台，允许研究人员上传和共享各种类型的研究成果，包括数据集、论文、图像、视频等。它旨在促进科学研究的开放性和可重复性。
figshare.com 收录
全国 1∶200 000 数字地质图（公开版）空间数据库
As the only one of its kind, China National Digital Geological Map (Public Version at 1∶200 000 scale) Spatial Database (CNDGM-PVSD) is based on China' s former nationwide measured results of regional geological survey at 1∶200 000 scale, and is also one of the nationwide basic geosciences spatial databases jointly accomplished by multiple organizations of China. Spatially, it embraces 1 163 geological map-sheets (at scale 1: 200 000) in both formats of MapGIS and ArcGIS, covering 72% of China's whole territory with a total data volume of 90 GB. Its main sources is from 1∶200 000 regional geological survey reports, geological maps, and mineral resources maps with an original time span from mid-1950s to early 1990s. Approved by the State's related agencies, it meets all the related technical qualification requirements and standards issued by China Geological Survey in data integrity, logic consistency, location acc racy, attribution fineness, and collation precision, and is hence of excellent and reliable quality. The CNDGM-PVSD is an important component of China' s national spatial database categories, serving as a spatial digital platform for the information construction of the State's national economy, and providing informationbackbones to the national and provincial economic planning, geohazard monitoring, geological survey, mineral resources exploration as well as macro decision-making.
DataCite Commons 收录