气候变化领域集成服务门户(CCPortal): Meiofauna abundance and distribution predicted with random forest regression in the German exploration area for polymetallic nodule mining, Clarion Clipperton Fracture Zone, Pacific

CCPortal

DOI	https://doi.org/10.1594/PANGAEA.912217
	Meiofauna abundance and distribution predicted with random forest regression in the German exploration area for polymetallic nodule mining, Clarion Clipperton Fracture Zone, Pacific
	Uhlenkott; Katja; Vink; Annemiek; Kuhn; Thomas; Martínez Arbizu; Pedro
发布日期	2020-02-18
数据集类型	dataset
英文关键词	distribution model ; Habitat Mapping ; meiofauna ; random forest regression
英文简介	The dataset contains counts of meiofauna organisms on high taxonomic level and predicted distributions computed for overall meiofauna abundance, diversity (Simpson's Index D and Evenness E), richness (ntax) and individual taxa using random forest regressions. Furthermore, a habitatmap is provided, dividing the area based on k-means clustering of combined predicted distributions, bathymetry and backscatter. The spatial layers are saved as grid-files, being the standard format of the R-package "raster" (https://cran.r-project.org/web/packages/raster/index.html).
空间范围	Median Latitude: 11.887791 * Median Longitude: -117.620605 * South-bound Latitude: 11.194750 * West-bound Longitude: -119.307217 * North-bound Latitude: 13.187250 * East-bound Longitude: -116.162650
时间范围	2010-04-26T00:00:00 - 2016-05-11T00:00:00
语种	英语
国家	国际
学科大类	气候变化
学科子类	气候变化
文献类型	数据集
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/235744
推荐引用方式 GB/T 7714	Uhlenkott,Katja,Vink,et al. Meiofauna abundance and distribution predicted with random forest regression in the German exploration area for polymetallic nodule mining, Clarion Clipperton Fracture Zone, Pacific.2020-02-18.https://doi.org/10.1594/PANGAEA.912217.