Alldata:DBSEABED: Difference between revisions

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{{Data description
{{Data description
|One-line data description=dbSEABED is a comprehensive database/GIS describing the seabed materials of the global ocean.
|One-line data description=dbSEABED Gridded Data Release: Gulf of Mexico
|Extended data description=dbSEABED is a comprehensive database/GIS describing the seabed materials of the global ocean. It holds data describing about 2 million seafloor sites, and integrates that pointwise data using an Information Processing System that has diverse 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 a data system that describes the material properties of the seabed. It holds data describing over 6 million seafloor sites for the world ocean seafloor. It deals with the sediment textures, strengths and porosities, organic carbon and carbonate compositions, color, mesoscale features, and grain components of the seafloor. dbSEABED extends from shoreline and continental shelf to the abyssal floor, and addresses terrigenous, volcanic and biogenic materials in their rock and sediment forms. By using diverse forms of data, collection and study biases are minimized.


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 one 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 project supplies gridded outputs suitable for use in numerical models. The basic set of gridded parameters is: gravel, sand, mud (%), rock exposure (%), average grainsize and sorting (phi), carbonate and organic carbon (%), color red/green ratio. A specification of the parameters is given at  [https://instaar.colorado.edu/~jenkinsc/dbseabed/index.html],  
|Upload image dataset=Adr mudT.jpg
[http://walrus.wr.usgs.gov/usseabed/content.html usSEABED], and other web pages and in publications.
|Caption dataset image=Example of bdSEABED data<br> % mud map of the Adriatic Sea
 
At this web site, example gridded outputs are served for the Gulf of Mexico. Serving is done either using [https://github.com/gantian127/bmi_dbseabed BMI dbSEABED] or the zipFile (below).
 
The cell resolution is 0.05 degrees in latitude/longitude projection, using the WGS84 spheroid.  Computed griddings of the Standard Uncertainties accompany all the parameter value griddings. Other grid details: ncols 360; nrows 260; cell-centre values; NODATA_value -99. In the file names: 'proj' signifies the project map extent; 'selvg' the map area plus border; 'wiPnts' with point data distribution; 'idw3d' interpolation using the dbSEABED 3D Inverse Distance Weighted method (see dbSEABED documentation). The method uses water depths as well as spatial distances as the interpolation distance metric. Additional steps in the process ensure adequate coastal/inshore data representation and directionally balanced data inputs at each cell. Griddings of the Standard Uncertainty (SU) accompany each value gridding and are available on request.
 
Data products at higher resolution, for different map bases, and for other parameters are available from ''chris.jenkins@colorado.edu the author.''
 
'''Gulf of Mexico dbSEABED Data (Version: August2024)''':
 
<table {{Prettytable}} class = "sortable" cellspacing="0" cellpadding="0" style="margin:0em 0em 0;">
<tr><th {{H13}}>Parameter</th><th {{H13}}>Data example</th></tr>
 
<tr><td>Gravel Fraction (%) - Surficial Seafloor, computed with Compositional Data (CODA) methods</td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_codaGVL_idw3d.tif Gridded coverage of values]</td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_codaGVL_idw3d_wiPnts_Selvg.png Spatial distribution of supporting data]</td></tr>
 
<tr><td>Sand Fraction (%) - Surficial Seafloor, computed with Compositional Data (CODA) methods</td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_codaSND_idw3d.tif Gridded coverage of values]</td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_codaSND_idw3d_wiPnts_Selvg.png Spatial distribution of supporting data]</td></tr>
 
<tr><td>Mud Fraction (%) - Surficial Seafloor, computed with Compositional Data (CODA) methods</td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_codaMUD_idw3d.tif Gridded coverage of values]</td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_codaMUD_idw3d_wiPnts_Selvg.png Spatial distribution of supporting data]</td></tr>
 
<tr><td>Carbonate Content (%) - Surficial Seafloor</td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_crb_idw3d.tif Gridded coverage of values]</td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_crb_idw3d_wiPnts_Selvg.png Spatial distribution of supporting data]</td></tr>
 
<tr><td>Organic Carbon Content (%) - Surficial Seafloor </td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_ocbn_idw3d.tif Gridded coverage of values]</td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_ocbn_idw3d_wiPnts_Selvg.png Spatial distribution of supporting data]</td></tr>
 
<tr><td>Sediment Grainsize (phi) - Surficial Seafloor </td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_grz_idw3d.tif Gridded coverage of values]</td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_grz_idw3d_wiPnts_Selvg.png Spatial distribution of supporting data]</td></tr>
 
<tr><td>Exposed Rock Presence (%) - Surficial Seafloor </td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_rck_idw3d.tif Gridded coverage of values]</td>
<td>[https://csdms.colorado.edu/pub/data/dbSEABED/gomex_rck_idw3d_wiPnts_Selvg.png Spatial distribution of supporting data]</td></tr>
 
</table>
|Upload image dataset=Gomex dbSBD CSDMS Aug2024.zip
|Caption dataset image=dbSEABED Griddings for Gulf of Mexico Jun2024
}}
}}
{{Data format
{{Data format
|Data type=Substrates
|Data type=Substrates
|Data origin=Modeled
|Data origin=Measured
|Data format=ArcExport, ASCII
|Data format=GeoTIFF
|Other data format=github/bmi_dbseabed
|Data resolution=0.05 deg
|Data projection=WGS84
}}
}}
{{Dataset coverage
{{Dataset coverage
|Data spatial coverage=Global point source measurements
|Data spatial coverage=Gulf of Mexico
|Data temporal coverage=Time snap shot
|Data temporal coverage=Time averaged
|Data time period covered=1960 - 2024
}}
}}
{{Dataset availability
{{Dataset availability
|Data download link=http://csdms.colorado.edu/wiki/DBSEABED
|Data download link=https://github.com/gantian127/bmi_dbseabed
|Data source link=http://csdms.colorado.edu/wiki/DBSEABED
|Data source link=http://instaar.colorado.edu/~jenkinsc/dbseabed/
}}
}}
{{Data references
{{Data references
|Key references dataset=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)  
|Key references dataset=Cite as: Jenkins, C.J. & Gan, T. 2024. Gulf of Mexico Seafloor Substrates. INSTAAR, University of Colorado, Boulder CO USA. (URL: "https://csdms.colorado.edu/wiki/Alldata:DBSEABED"; Last edit 27 June 2024)
}}
}}

Latest revision as of 15:34, 11 March 2025

DBSEABED dataset information page



Short Description

File:Gomex dbSBD CSDMS Aug2024.zip
dbSEABED Griddings for Gulf of Mexico Jun2024

Statement: dbSEABED Gridded Data Release: Gulf of Mexico

Abstract: [[Extended data description::dbSEABED is a data system that describes the material properties of the seabed. It holds data describing over 6 million seafloor sites for the world ocean seafloor. It deals with the sediment textures, strengths and porosities, organic carbon and carbonate compositions, color, mesoscale features, and grain components of the seafloor. dbSEABED extends from shoreline and continental shelf to the abyssal floor, and addresses terrigenous, volcanic and biogenic materials in their rock and sediment forms. By using diverse forms of data, collection and study biases are minimized.

The project supplies gridded outputs suitable for use in numerical models. The basic set of gridded parameters is: gravel, sand, mud (%), rock exposure (%), average grainsize and sorting (phi), carbonate and organic carbon (%), color red/green ratio. A specification of the parameters is given at [1], usSEABED, and other web pages and in publications.

At this web site, example gridded outputs are served for the Gulf of Mexico. Serving is done either using BMI dbSEABED or the zipFile (below).

The cell resolution is 0.05 degrees in latitude/longitude projection, using the WGS84 spheroid. Computed griddings of the Standard Uncertainties accompany all the parameter value griddings. Other grid details: ncols 360; nrows 260; cell-centre values; NODATA_value -99. In the file names: 'proj' signifies the project map extent; 'selvg' the map area plus border; 'wiPnts' with point data distribution; 'idw3d' interpolation using the dbSEABED 3D Inverse Distance Weighted method (see dbSEABED documentation). The method uses water depths as well as spatial distances as the interpolation distance metric. Additional steps in the process ensure adequate coastal/inshore data representation and directionally balanced data inputs at each cell. Griddings of the Standard Uncertainty (SU) accompany each value gridding and are available on request.

Data products at higher resolution, for different map bases, and for other parameters are available from chris.jenkins@colorado.edu the author.

Gulf of Mexico dbSEABED Data (Version: August2024):

ParameterData example
Gravel Fraction (%) - Surficial Seafloor, computed with Compositional Data (CODA) methods Gridded coverage of values Spatial distribution of supporting data
Sand Fraction (%) - Surficial Seafloor, computed with Compositional Data (CODA) methods Gridded coverage of values Spatial distribution of supporting data
Mud Fraction (%) - Surficial Seafloor, computed with Compositional Data (CODA) methods Gridded coverage of values Spatial distribution of supporting data
Carbonate Content (%) - Surficial Seafloor Gridded coverage of values Spatial distribution of supporting data
Organic Carbon Content (%) - Surficial Seafloor Gridded coverage of values Spatial distribution of supporting data
Sediment Grainsize (phi) - Surficial Seafloor Gridded coverage of values Spatial distribution of supporting data
Exposed Rock Presence (%) - Surficial Seafloor Gridded coverage of values Spatial distribution of supporting data

]]

Data format

Data type: Substrates
Data origin: Measured
Data format: GeoTIFF
Other format: github/bmi_dbseabed
Data resolution: 0.05 deg
Datum: WGS84

Data Coverage

Spatial data coverage: Gulf of Mexico
Temporal data coverage: Time averaged
Time period covered: 1960 - 2024

Availability

Download data: https://github.com/gantian127/bmi dbseabed
Data source: http://instaar.colorado.edu/~jenkinsc/dbseabed/

References