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
2019-05-02T17:48:07Z
dc.date.available
2019-05-02T17:48:07Z
dc.date.issued
2019-05-02
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/6948df43-ed93-f107-5e91-4e1005f39a4a
dc.identifier.uri
https://doi.org/10.20383/101.0154
dc.description
The dataset contains 0.125 resolution gridded soil texture data for Mackenzie and Nelson-Churchill River Basins. The data has been aggregated from two source datasets, namely Soil Landscapes of Canada 2.2 dataset and STATSGO2 dataset for USA. The final texture data has the minimum, maximum and average percent for sand, clay and organic components of soil per grid cell of the two basins. This data set is particularly created for the use 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. It can be used for similar applications of land surface, hydrology, or environmental models as appropriate.
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
Mackenzie River Basin
en_US
dc.subject
Nelson-Churchill River Basin
en_US
dc.subject
Soil Texture
en_US
dc.subject
SLC 2.2
en_US
dc.subject
STATSGO2
en_US
dc.subject
Land Surface/Hydrology Modelling
en_US
dc.subject
MESH
en_US
dc.title
Aggregated gridded soil texture dataset for Mackenzie and Nelson-Churchill River Basins.
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/6/published/publication_154/
frdr.preservation.status
AIP generation and transfer successful
frdr.preservation.datetime
2019-05-02 11:58:54
datacite.publicationyear
2019
datacite.resourcetype
Dataset
en_US
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.funderName
Mitacs
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Globalink Research Internship Award-2017
en_US
frdr.crdc.code
RDF1050704
frdr.crdc.group_en
Earth and related environmental sciences
en_US
frdr.crdc.class_en
Hydrology
en_US
frdr.crdc.field_en
Soil 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 du sol
fr_CA
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