Input data for predicted mud content on the Norwegian continental margin
收藏NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/10057142
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资源简介:
Input data relating to R workflow for predicting mud content on the Norwegian continental margin (https://github.com/diesing-ngu/GSMgrids). The following files are included:
gsm_data.csv - Data on gravel, sand and mud of surface sediments
MGObsPkt_150_160_170.shp - Point shapefile of categorical samples
predictors_ngb.tif - Multi-band georeferenced TIFF-file of predictor variables
predictors_description.txt - Information on variables stored in predictor_ngb.tif including units, statistics, time period and sources.
GrainSizeReg_folk8_classes_2023-06-28.tif - Georeferenced TIFF-file of predicted substrate classes. Used to update the area of interest (exclude areas mapped as Rock and boulders).
GrainSizeReg_folk8_probabilities_2023-06-28.tif - Georeferenced TIFF-file of the prediction probabilities of the predicted substrate classes. Used as additional predctors.
创建时间:
2024-05-03



