McNicol-2019-NPCTR-SOC-map

This raster [.tif] is the predicted soil organic carbon for the North Pacific coastal temperate rainforest. Content is displayed in megagrams of carbon per hectare (Mg ha-1) to 1 m in mineral soil, plus overlying organic horizons. Map values are the output of a random forest machine learning algorit...

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Bibliographic Details
Main Authors: McNicol, Gavin, Bulmer, Chuck, D'Amore, David D., Sanborn, Paul, Saunders, Sari, Giesbrecht, Ian, Gonzalez Arriola, Santiago, Bidlack, Allison, Butman, David, Buma, Brian
Format: Dataset
Language:unknown
Published: Dryad Digital Repository 2018
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.5jf6j1r/1
https://datadryad.org/resource/doi:10.5061/dryad.5jf6j1r/1
id ftdatacite:10.5061/dryad.5jf6j1r/1
record_format openpolar
spelling ftdatacite:10.5061/dryad.5jf6j1r/1 2023-05-15T16:22:34+02:00 McNicol-2019-NPCTR-SOC-map McNicol, Gavin Bulmer, Chuck D'Amore, David D. Sanborn, Paul Saunders, Sari Giesbrecht, Ian Gonzalez Arriola, Santiago Bidlack, Allison Butman, David Buma, Brian 2018 https://dx.doi.org/10.5061/dryad.5jf6j1r/1 https://datadryad.org/resource/doi:10.5061/dryad.5jf6j1r/1 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.5jf6j1r http://creativecommons.org/publicdomain/zero/1.0 CC0 soil carbon random forest temperate rainforest pedology machine learning North Pacific coastal temperate rainforest British Columbia Southeast Alaska Alaska Holocene Anthropocene dataset Dataset DataFile 2018 ftdatacite https://doi.org/10.5061/dryad.5jf6j1r/1 https://doi.org/10.5061/dryad.5jf6j1r 2021-11-05T12:55:41Z This raster [.tif] is the predicted soil organic carbon for the North Pacific coastal temperate rainforest. Content is displayed in megagrams of carbon per hectare (Mg ha-1) to 1 m in mineral soil, plus overlying organic horizons. Map values are the output of a random forest machine learning algorithm trained on pedon data from within British Columbia and southeast Alaska only, therefore confidence is low for predictions south of the US-Canada border and predictions in that region have not been validated. Lakes, glaciers and ice-fields have also not been masked from the map. More information on the map can be found in the associated manuscript. Dataset glaciers Alaska DataCite Metadata Store (German National Library of Science and Technology) British Columbia ENVELOPE(-125.003,-125.003,54.000,54.000) Canada Pacific
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic soil carbon
random forest
temperate rainforest
pedology
machine learning
North Pacific coastal temperate rainforest
British Columbia
Southeast Alaska
Alaska
Holocene
Anthropocene
spellingShingle soil carbon
random forest
temperate rainforest
pedology
machine learning
North Pacific coastal temperate rainforest
British Columbia
Southeast Alaska
Alaska
Holocene
Anthropocene
McNicol, Gavin
Bulmer, Chuck
D'Amore, David D.
Sanborn, Paul
Saunders, Sari
Giesbrecht, Ian
Gonzalez Arriola, Santiago
Bidlack, Allison
Butman, David
Buma, Brian
McNicol-2019-NPCTR-SOC-map
topic_facet soil carbon
random forest
temperate rainforest
pedology
machine learning
North Pacific coastal temperate rainforest
British Columbia
Southeast Alaska
Alaska
Holocene
Anthropocene
description This raster [.tif] is the predicted soil organic carbon for the North Pacific coastal temperate rainforest. Content is displayed in megagrams of carbon per hectare (Mg ha-1) to 1 m in mineral soil, plus overlying organic horizons. Map values are the output of a random forest machine learning algorithm trained on pedon data from within British Columbia and southeast Alaska only, therefore confidence is low for predictions south of the US-Canada border and predictions in that region have not been validated. Lakes, glaciers and ice-fields have also not been masked from the map. More information on the map can be found in the associated manuscript.
format Dataset
author McNicol, Gavin
Bulmer, Chuck
D'Amore, David D.
Sanborn, Paul
Saunders, Sari
Giesbrecht, Ian
Gonzalez Arriola, Santiago
Bidlack, Allison
Butman, David
Buma, Brian
author_facet McNicol, Gavin
Bulmer, Chuck
D'Amore, David D.
Sanborn, Paul
Saunders, Sari
Giesbrecht, Ian
Gonzalez Arriola, Santiago
Bidlack, Allison
Butman, David
Buma, Brian
author_sort McNicol, Gavin
title McNicol-2019-NPCTR-SOC-map
title_short McNicol-2019-NPCTR-SOC-map
title_full McNicol-2019-NPCTR-SOC-map
title_fullStr McNicol-2019-NPCTR-SOC-map
title_full_unstemmed McNicol-2019-NPCTR-SOC-map
title_sort mcnicol-2019-npctr-soc-map
publisher Dryad Digital Repository
publishDate 2018
url https://dx.doi.org/10.5061/dryad.5jf6j1r/1
https://datadryad.org/resource/doi:10.5061/dryad.5jf6j1r/1
long_lat ENVELOPE(-125.003,-125.003,54.000,54.000)
geographic British Columbia
Canada
Pacific
geographic_facet British Columbia
Canada
Pacific
genre glaciers
Alaska
genre_facet glaciers
Alaska
op_relation https://dx.doi.org/10.5061/dryad.5jf6j1r
op_rights http://creativecommons.org/publicdomain/zero/1.0
op_rightsnorm CC0
op_doi https://doi.org/10.5061/dryad.5jf6j1r/1
https://doi.org/10.5061/dryad.5jf6j1r
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