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Hauptverfasser: Uhlenkott, Katja, Simon-Lledó, Erik, Vink, Annemiek, Martínez Arbizu, Pedro
Format: Dataset Open Access
Sprache:en
Veröffentlicht: PANGAEA 2022
Schlagworte:
Online-Zugang:https://doi.org/10.1594/PANGAEA.946804
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author Uhlenkott, Katja
Simon-Lledó, Erik
Vink, Annemiek
Martínez Arbizu, Pedro
author_facet Uhlenkott, Katja
Simon-Lledó, Erik
Vink, Annemiek
Martínez Arbizu, Pedro
collection Datos científicos de ciencias marinas y ambientales
contents The dataset contains grid-files of the predicted probability of occurrence, respectively non-occurrence, predicted for the 68 morphotypes across the German contract area allocated to the German Federal Institute for Geosciences and Natural Resources (BGR) for the exploration of polymetallic nodules in the Clarion Clipperton Facture Zone, Pacific with random forest classification. All grid-files are saved in the standard format of the R-package "raster" (https://cran.r-project.org/web/packages/raster/index.html) and contain 2 bands, the first being the predicted probability for absence and the second layer for presence of the specific morphotype.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_946804
institution PANGAEA
language en
publishDate 2022
publisher PANGAEA
record_format pangaea
spellingShingle Megafauna distribution predicted with random forest classification in the German contract area for polymetallic nodule mining, Clarion Clipperton Fracture Zone, Pacific
Uhlenkott, Katja
Simon-Lledó, Erik
Vink, Annemiek
Martínez Arbizu, Pedro
CCZ_GER; Clarion-Clipperton Fraction Zone, North East Pacific Ocean; distribution modelling; image annotation; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; megafauna; Random forest classification; Seabed Mining And Resilience To Experimental impact; SMARTEX
The dataset contains grid-files of the predicted probability of occurrence, respectively non-occurrence, predicted for the 68 morphotypes across the German contract area allocated to the German Federal Institute for Geosciences and Natural Resources (BGR) for the exploration of polymetallic nodules in the Clarion Clipperton Facture Zone, Pacific with random forest classification. All grid-files are saved in the standard format of the R-package "raster" (https://cran.r-project.org/web/packages/raster/index.html) and contain 2 bands, the first being the predicted probability for absence and the second layer for presence of the specific morphotype.
title Megafauna distribution predicted with random forest classification in the German contract area for polymetallic nodule mining, Clarion Clipperton Fracture Zone, Pacific
topic CCZ_GER; Clarion-Clipperton Fraction Zone, North East Pacific Ocean; distribution modelling; image annotation; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; megafauna; Random forest classification; Seabed Mining And Resilience To Experimental impact; SMARTEX
url https://doi.org/10.1594/PANGAEA.946804