Data from GlobalMass (02-2019) : supporting data and files for PNAS paper entitled Ice sheet contributions to future sea level rise from structured expert judgement.

This repository contains supporting documentation with background information about the structured expert judgement described in the paper entitled: Ice sheet contributions to future sea level rise from structured expert judgement.. It also includes the files containing the anonymous expert judgemen...

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Bibliographic Details
Main Author: Bamber, Jonathan
Format: Dataset
Language:English
Published: University of Bristol 2019
Subjects:
sea level rise
Ice Sheet
Online Access:https://dx.doi.org/10.5523/bris.23k1jbtan6sjv2huakf63cqgav
https://data.bris.ac.uk/data/dataset/23k1jbtan6sjv2huakf63cqgav/
id ftdatacite:10.5523/bris.23k1jbtan6sjv2huakf63cqgav
record_format openpolar
spelling ftdatacite:10.5523/bris.23k1jbtan6sjv2huakf63cqgav 2023-05-15T16:39:54+02:00 Data from GlobalMass (02-2019) : supporting data and files for PNAS paper entitled Ice sheet contributions to future sea level rise from structured expert judgement. Bamber, Jonathan 2019 application/vnd.ms-excel.sheet.macroenabled.12 application/zip text/plain; charset=windows-1252 application/pdf https://dx.doi.org/10.5523/bris.23k1jbtan6sjv2huakf63cqgav https://data.bris.ac.uk/data/dataset/23k1jbtan6sjv2huakf63cqgav/ en eng University of Bristol sea level rise dataset Dataset 2019 ftdatacite https://doi.org/10.5523/bris.23k1jbtan6sjv2huakf63cqgav 2021-11-05T12:55:41Z This repository contains supporting documentation with background information about the structured expert judgement described in the paper entitled: Ice sheet contributions to future sea level rise from structured expert judgement.. It also includes the files containing the anonymous expert judgements for the target questions elicited Dataset Ice Sheet DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic sea level rise
spellingShingle sea level rise
Bamber, Jonathan
Data from GlobalMass (02-2019) : supporting data and files for PNAS paper entitled Ice sheet contributions to future sea level rise from structured expert judgement.
topic_facet sea level rise
description This repository contains supporting documentation with background information about the structured expert judgement described in the paper entitled: Ice sheet contributions to future sea level rise from structured expert judgement.. It also includes the files containing the anonymous expert judgements for the target questions elicited
format Dataset
author Bamber, Jonathan
author_facet Bamber, Jonathan
author_sort Bamber, Jonathan
title Data from GlobalMass (02-2019) : supporting data and files for PNAS paper entitled Ice sheet contributions to future sea level rise from structured expert judgement.
title_short Data from GlobalMass (02-2019) : supporting data and files for PNAS paper entitled Ice sheet contributions to future sea level rise from structured expert judgement.
title_full Data from GlobalMass (02-2019) : supporting data and files for PNAS paper entitled Ice sheet contributions to future sea level rise from structured expert judgement.
title_fullStr Data from GlobalMass (02-2019) : supporting data and files for PNAS paper entitled Ice sheet contributions to future sea level rise from structured expert judgement.
title_full_unstemmed Data from GlobalMass (02-2019) : supporting data and files for PNAS paper entitled Ice sheet contributions to future sea level rise from structured expert judgement.
title_sort data from globalmass (02-2019) : supporting data and files for pnas paper entitled ice sheet contributions to future sea level rise from structured expert judgement.
publisher University of Bristol
publishDate 2019
url https://dx.doi.org/10.5523/bris.23k1jbtan6sjv2huakf63cqgav
https://data.bris.ac.uk/data/dataset/23k1jbtan6sjv2huakf63cqgav/
genre Ice Sheet
genre_facet Ice Sheet
op_doi https://doi.org/10.5523/bris.23k1jbtan6sjv2huakf63cqgav
_version_ 1766030255295823872

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