Field
Value
Language
dc.contributor.author
Keshav, Kuljeet
datacite.creator.affiliationIdentifier
https://ror.org/01kh5gc44
en_US
datacite.creator.affiliation
Indian Institute of Technology BHU
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Haghnegahdar, Amin
datacite.creator.affiliationIdentifier
https://ror.org/05997db74;https://ror.org/010x8gc63
en_US
datacite.creator.affiliation
Global Institute for Water Security; University of Saskatchewan
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Elshamy, Mohamed
datacite.creator.affiliationIdentifier
https://ror.org/05997db74;https://ror.org/010x8gc63
en_US
datacite.creator.affiliation
Global Institute for Water Security; University of Saskatchewan
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Gharari, Shervan
datacite.creator.affiliationIdentifier
https://ror.org/05997db74;https://ror.org/010x8gc63
en_US
datacite.creator.affiliation
Global Institute for Water Security; University of Saskatchewan
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Razavi, Saman
datacite.creator.affiliationIdentifier
https://ror.org/05997db74;https://ror.org/010x8gc63
en_US
datacite.creator.affiliation
Global Institute for Water Security; University of Saskatchewan
en_US
datacite.creator.nameIdentifier
en_US
dc.date.accessioned
2019-04-30T11:47:29Z
dc.date.available
2019-04-30T11:47:29Z
dc.date.issued
2019-04-30
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/6c809d42-f665-7440-fdeb-f8d2e99c0402
dc.identifier.uri
https://doi.org/10.20383/101.0152
dc.description
The bedrock dataset created by Shangguan et al. (2017) is aggregated to a lower resolution (larger pixels) of 0.125 degree for Mackenzie and Nelson-Churchill River Basins for its applicability with Hydrology and Land Surface Models. This dataset is in particular generated for using with MESH (Modélisation Environnementale communautaire - Surface Hydrology), a distributed coupled hydrology-land surface model developed by Environment and Climate Change Canada, as applied to Mackenzie and Nelson-Churchill River Basins. The statistics calculated for each final larger pixel (0.125 degrees) include mean, median, maximum, minimum, and standard deviation of the original higher resolution pixels within it. Also, in order to provide an idea of the reliability of this transformation, a corresponding 0.125 degrees raster dataset is created containing the number of missing values (NA) from the Shangguan et al. (2017) dataset within each larger 0.125 degree pixels.
en_US
dc.publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
dc.rights
Creative Commons Attribution 4.0 International (CC BY 4.0)
en_US
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
en_US
dc.subject
Bedrock depth
en_US
dc.subject
Mackenzie River Basin
en_US
dc.subject
Nelson-Churchill River Basin
en_US
dc.subject
Environmental Modelling
en_US
dc.subject
Land Surface/Hydrology Modelling
en_US
dc.subject
MESH
en_US
dc.title
Aggregated gridded bedrock depth dataset for Mackenzie and Nelson-Churchill River Basin based on bedrock data by Shangguan et al. (2017)
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/6/published/publication_152/
frdr.preservation.status
AIP generation and transfer successful
frdr.preservation.datetime
2019-04-30 06:07:40
datacite.publicationyear
2019
datacite.resourcetype
Dataset
en_US
datacite.relatedidentifier.Cites
https://doi.org/10.1002/2016MS000686
datacite.geolocation.geolocationBox
51.0625 -140.4375 70.4375 -102.0625
datacite.geolocation.geolocationBox
45.1713 -117.64825 59.9477 -89.50825
datacite.geolocation.geolocationPlace
Mackenzie River Basin;-;-;Canada
datacite.geolocation.geolocationPlace
Nelson-Churchill River Basin;-;-;Canada
datacite.fundingReference
datacite.fundingReference.funderIdentifier
datacite.fundingReference.funderName
Mitacs
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Globalink Research Internship Award-2017
en_US
datacite.fundingReference.funderName
datacite.fundingReference.awardNumber
datacite.fundingReference.awardTitle
frdr.crdc.code
RDF1050703
frdr.crdc.group_en
Earth and related environmental sciences
en_US
frdr.crdc.class_en
Hydrology
en_US
frdr.crdc.field_en
Surface water hydrology
en_US
frdr.crdc.group_fr
Sciences de la Terre et sciences de l'environnement connexes
fr_CA
frdr.crdc.class_fr
Hydrologie
fr_CA
frdr.crdc.field_fr
Hydrologie de surface
fr_CA
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