ATLANTIC_CH10_Product_2 / Digital bathymetry uncertainty covering the North Atlantic, and a representative sample area within the North Atlantic. ...

This product is a map of the uncertainty of available digital bathymetry measurements for the North Atlantic Ocean. This is done for a spatial resolution feasible for this large area (25km x 25km). It is designed to assess the quality of the bathymetry readings with a view to supporting assessments...

Full description

Bibliographic Details
Main Author: HR Wallingford
Format: Dataset
Language:unknown
Published: EMODnet Atlantic Checkpoint 2017
Subjects:
Online Access:https://dx.doi.org/10.12770/7f70cff5-87a2-4402-b548-84d9ed2f74e2
http://sextant.ifremer.fr/record/7f70cff5-87a2-4402-b548-84d9ed2f74e2/
id ftdatacite:10.12770/7f70cff5-87a2-4402-b548-84d9ed2f74e2
record_format openpolar
spelling ftdatacite:10.12770/7f70cff5-87a2-4402-b548-84d9ed2f74e2 2023-10-01T03:57:43+02:00 ATLANTIC_CH10_Product_2 / Digital bathymetry uncertainty covering the North Atlantic, and a representative sample area within the North Atlantic. ... HR Wallingford 2017 https://dx.doi.org/10.12770/7f70cff5-87a2-4402-b548-84d9ed2f74e2 http://sextant.ifremer.fr/record/7f70cff5-87a2-4402-b548-84d9ed2f74e2/ unknown EMODnet Atlantic Checkpoint This EMODnet Atlantic Checkpoint data product (the “Product”) is the result of a “challenge” stress test specified by the call for tenders No MARE/2012/11. HR Wallingford Ltd (the “Producer”) was commissioned to perform a number of tests to evaluate marine data according to set user requirements. This product and any resultant data produced is a consequence of these tests and provided for interest only. The Product is provided on an “as is” basis, and the producer disclaims any and all warranties, conditions, or representations (express, implied, oral or written), relating to the Product or any part thereof, including, without limitation, any and all implied warranties of quality, performance, suitability or fitness for a particular purpose to the full extent permitted by law. The Producer accepts no liability for loss suffered or incurred as a result of reliance on the Product or any output of its use. The Producer shall not be liable for any economic loss, loss of profit, loss of business or contract, depletion of goodwill or otherwise, in each case whether direct, or indirect or any indirect loss whatsoever (howsoever caused) including loss or damage suffered as a result of an action brought by any person which arise out of or in connection with the use of the Product or inability to use the Product It is possible to build a coarse uncertainty grid for the entire North Atlantic Ocean. However, the value produced is relative and does not indicate a quantitative error. Data offered in standard formats. Limitations with downloading large quantities. Metadata is also missing and had to be approximated. Metadata was varied and complex, sometimes even within individual data products. Much metadata was missing and incomplete. On the whole, metadata was non-standard and variable leading to difficulties producing data products with multiple sources. It was also necessary to infer certain attributes (such as method) from the data values themselves by looking at the dens Atlantic - CH10 - Bathymetry High level analyzed Delayed Elevation Draft Dataset dataset 2017 ftdatacite https://doi.org/10.12770/7f70cff5-87a2-4402-b548-84d9ed2f74e2 2023-09-04T13:07:23Z This product is a map of the uncertainty of available digital bathymetry measurements for the North Atlantic Ocean. This is done for a spatial resolution feasible for this large area (25km x 25km). It is designed to assess the quality of the bathymetry readings with a view to supporting assessments of future need. The product is formulated through a number of characteristics of the data including age of measurement and slope. ... Dataset North Atlantic 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 unknown
topic Atlantic - CH10 - Bathymetry
High level analyzed
Delayed
Elevation
Draft
spellingShingle Atlantic - CH10 - Bathymetry
High level analyzed
Delayed
Elevation
Draft
HR Wallingford
ATLANTIC_CH10_Product_2 / Digital bathymetry uncertainty covering the North Atlantic, and a representative sample area within the North Atlantic. ...
topic_facet Atlantic - CH10 - Bathymetry
High level analyzed
Delayed
Elevation
Draft
description This product is a map of the uncertainty of available digital bathymetry measurements for the North Atlantic Ocean. This is done for a spatial resolution feasible for this large area (25km x 25km). It is designed to assess the quality of the bathymetry readings with a view to supporting assessments of future need. The product is formulated through a number of characteristics of the data including age of measurement and slope. ...
format Dataset
author HR Wallingford
author_facet HR Wallingford
author_sort HR Wallingford
title ATLANTIC_CH10_Product_2 / Digital bathymetry uncertainty covering the North Atlantic, and a representative sample area within the North Atlantic. ...
title_short ATLANTIC_CH10_Product_2 / Digital bathymetry uncertainty covering the North Atlantic, and a representative sample area within the North Atlantic. ...
title_full ATLANTIC_CH10_Product_2 / Digital bathymetry uncertainty covering the North Atlantic, and a representative sample area within the North Atlantic. ...
title_fullStr ATLANTIC_CH10_Product_2 / Digital bathymetry uncertainty covering the North Atlantic, and a representative sample area within the North Atlantic. ...
title_full_unstemmed ATLANTIC_CH10_Product_2 / Digital bathymetry uncertainty covering the North Atlantic, and a representative sample area within the North Atlantic. ...
title_sort atlantic_ch10_product_2 / digital bathymetry uncertainty covering the north atlantic, and a representative sample area within the north atlantic. ...
publisher EMODnet Atlantic Checkpoint
publishDate 2017
url https://dx.doi.org/10.12770/7f70cff5-87a2-4402-b548-84d9ed2f74e2
http://sextant.ifremer.fr/record/7f70cff5-87a2-4402-b548-84d9ed2f74e2/
genre North Atlantic
genre_facet North Atlantic
op_rights This EMODnet Atlantic Checkpoint data product (the “Product”) is the result of a “challenge” stress test specified by the call for tenders No MARE/2012/11. HR Wallingford Ltd (the “Producer”) was commissioned to perform a number of tests to evaluate marine data according to set user requirements. This product and any resultant data produced is a consequence of these tests and provided for interest only. The Product is provided on an “as is” basis, and the producer disclaims any and all warranties, conditions, or representations (express, implied, oral or written), relating to the Product or any part thereof, including, without limitation, any and all implied warranties of quality, performance, suitability or fitness for a particular purpose to the full extent permitted by law. The Producer accepts no liability for loss suffered or incurred as a result of reliance on the Product or any output of its use. The Producer shall not be liable for any economic loss, loss of profit, loss of business or contract, depletion of goodwill or otherwise, in each case whether direct, or indirect or any indirect loss whatsoever (howsoever caused) including loss or damage suffered as a result of an action brought by any person which arise out of or in connection with the use of the Product or inability to use the Product
It is possible to build a coarse uncertainty grid for the entire North Atlantic Ocean. However, the value produced is relative and does not indicate a quantitative error. Data offered in standard formats. Limitations with downloading large quantities. Metadata is also missing and had to be approximated. Metadata was varied and complex, sometimes even within individual data products. Much metadata was missing and incomplete. On the whole, metadata was non-standard and variable leading to difficulties producing data products with multiple sources. It was also necessary to infer certain attributes (such as method) from the data values themselves by looking at the dens
op_doi https://doi.org/10.12770/7f70cff5-87a2-4402-b548-84d9ed2f74e2
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