Data:DBSEABED: Difference between revisions
(dbSEABED introduction) |
No edit summary |
||
Line 3: | Line 3: | ||
|Extended data description=dbSEABED is an integration of all the datasets that deal with the materials and features of the seabed. It holds data describing about 2 million seafloor sites, and integrates that pointwise data using an Information Processing System that has a number of processing steps and options. A unique and advantageous feature is that word-based descriptive data about seafloor bottom type is parsed and brought into conformance with the analytical numeric data type, so that they become co-mappable. This gives the best possible geographic coverage and information richness from the available data. | |Extended data description=dbSEABED is an integration of all the datasets that deal with the materials and features of the seabed. It holds data describing about 2 million seafloor sites, and integrates that pointwise data using an Information Processing System that has a number of processing steps and options. A unique and advantageous feature is that word-based descriptive data about seafloor bottom type is parsed and brought into conformance with the analytical numeric data type, so that they become co-mappable. This gives the best possible geographic coverage and information richness from the available data. | ||
dbSEABED deals with the grain size textures, strengths and porosities, carbon and carbonate compositions, colors, structural features, and grain components of the seafloor. The diverse inputs on these properties from thousands of individual datasets are harmonized into | dbSEABED deals with the grain size textures, strengths and porosities, carbon and carbonate compositions, colors, structural features, and grain components of the seafloor. The diverse inputs on these properties from thousands of individual datasets are harmonized into a standardized and calibrated set of outputs, which initially is pointwise but then is computed into grids and other visualizations. For quality assurance reasons, a significant amount (about 20%) of the original data from the diverse input datasets is not accepted to outputs. | ||
The scope of dbSEABED is worldwide, from estuaries across the continental shelves to the very deepest ocean, dealing with rock and sediment, and the terrigenous, volcanic and biogenic sourced materials. The data are sourced from public domain and collaborative datasets, from all the fields of science, survey, engineering and commerce. | |||
|Upload image dataset=Adr mudT.jpg | |Upload image dataset=Adr mudT.jpg | ||
|Caption dataset image=Example of dbSEABED data<br> | |Caption dataset image=Example of dbSEABED data<br> Map of the distribution of mud areas in the Adriatic Sea (as %mud). | ||
}} | }} | ||
{{Data format | {{Data format | ||
|Data type=Substrates | |Data type=Substrates | ||
|Data origin= | |Data origin=Database/GIS; integration of numerous input datasets | ||
|Data format= | |Data format=ESRI ASCII grid | ||
}} | }} | ||
{{Dataset coverage | {{Dataset coverage | ||
|Data spatial coverage=Global point source measurements | |Data spatial coverage=Global point source measurements | ||
|Data temporal coverage=Time | |Data temporal coverage=(At present) Time averaged | ||
}} | }} | ||
{{Dataset availability | {{Dataset availability |
Revision as of 09:57, 1 March 2010
DBSEABED dataset information page
Short Description
Example of dbSEABED data Map of the distribution of mud areas in the Adriatic Sea (as %mud). |
Statement: dbSEABED describes the materials and features of the global seafloor.
Abstract: dbSEABED is an integration of all the datasets that deal with the materials and features of the seabed. It holds data describing about 2 million seafloor sites, and integrates that pointwise data using an Information Processing System that has a number of processing steps and options. A unique and advantageous feature is that word-based descriptive data about seafloor bottom type is parsed and brought into conformance with the analytical numeric data type, so that they become co-mappable. This gives the best possible geographic coverage and information richness from the available data.
dbSEABED deals with the grain size textures, strengths and porosities, carbon and carbonate compositions, colors, structural features, and grain components of the seafloor. The diverse inputs on these properties from thousands of individual datasets are harmonized into a standardized and calibrated set of outputs, which initially is pointwise but then is computed into grids and other visualizations. For quality assurance reasons, a significant amount (about 20%) of the original data from the diverse input datasets is not accepted to outputs.
The scope of dbSEABED is worldwide, from estuaries across the continental shelves to the very deepest ocean, dealing with rock and sediment, and the terrigenous, volcanic and biogenic sourced materials. The data are sourced from public domain and collaborative datasets, from all the fields of science, survey, engineering and commerce.
Data format
Data type: | Substrates |
Data origin: | Database/GIS; integration of numerous input datasets"Database/GIS; integration of numerous input datasets" is not in the list (Measured, Modeled) of allowed values for the "Data origin" property. |
Data format: | ESRI ASCII grid"ESRI ASCII grid" is not in the list (GeoTIFF, BIL, MrSID, ArcExport, Shapefile, DXF, KML, KMZ, NetCDF, GRD98, ...) of allowed values for the "Data format" property. |
Other format: | |
Data resolution: | |
Datum: |
Data Coverage
Spatial data coverage: Global point source measurements
Temporal data coverage: (At present) Time averaged"(At present) Time averaged" is not in the list (Time series, Time snap shot, Time averaged) of allowed values for the "Data temporal coverage" property.
Time period covered:
Availability
Download data: http://csdms.colorado.edu/wiki/DBSEABED
Data source: http://instaar.colorado.edu/~jenkinsc/dbseabed/
References
- Jenkins, C.J. 2010. Seafloor Substrates. INSTAAR, University of Colorado, Boulder CO USA. (URL: "http://csdms.colorado.edu/wiki/DBSEABED"; Last edit 18 Feb 2010)