NOAA ESRI Grid - predictions of relative uncertainty for sediment size in the New York offshore planning area by NOAA Biogeography Branch
National Centers for Coastal Ocean Science
Data Set
(DS)
| ID: 38954
| Published / External
Created: 2017-04-05
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Last Modified: 2023-08-15
Project (PRJ) | ID: 37192
ID: 38954
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | NOAA ESRI Grid - predictions of relative uncertainty for sediment size in the New York offshore planning area by NOAA Biogeography Branch |
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Short Name | New_York_Mean_Grain_Size_Error |
* Status | Completed |
Creation Date | |
Revision Date | |
• Publication Date | 2012-05 |
* » Abstract |
This dataset represents sediment size prediction uncertainty from a sediment spatial model developed for the New York offshore spatial planning area. The model also includes spatially-explicit mean grain size estimates represented in another raster dataset. The predictive model of mean grain size was developed building upon the data compilation and analytical framework laid out by Goff et al. (2008). |
* Purpose |
Mapping seafloor features, including sediment characteristics and distribution, provides crucial information for a number of coastal and marine spatial planning applications. Seafloor maps can be used to help identify critical habitat areas for benthic organisms (e.g., clams, corals, demersal fish), select appropriate offshore construction sites, and plan sand/gravel mining operations. |
Notes |
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• Supplemental Information | |
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Keywords
Theme Keywords
Thesaurus | Keyword |
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ISO 19115 Topic Category | environment |
ISO 19115 Topic Category | oceans |
Geospatial Platform | OceanCommunity |
NOS Data Explorer Topic Category | Bathymetry/Topography |
None | bathymetry/topography |
None | environment |
None | grain size |
None | New York |
None | prediction |
None | Seafloor |
None | sediment |
None | spatial planning |
None | uncertainty |
Temporal Keywords
Thesaurus | Keyword |
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None | Long-term average determined by input data |
* Spatial Keywords
Thesaurus | Keyword |
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None | Long Island |
None | Mid-Atlantic |
None | New York Bight |
None | New York Offshore Planing Area |
None | Northwest Atlantic Ocean |
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Physical Location
• » Organization | National Centers for Coastal Ocean Science |
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• » City | Silver Spring |
• » State/Province | MD |
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• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | |
• Maintenance Frequency | None Planned |
Maintenance Note | |
» Data Presentation Form | raster digital data |
• Entity Attribute Overview |
Raster values correspond to estimates of mean grain size uncertainty on the seafloor. Estimates are based on a sediment geostatistical model developed using seafloor sediment samples. Uncertainty is equal to the standard error of the model at a specific point. Mean grain size is reported in phi units, where phi = -log2(mean grain diameter in mm) (Krumbein and Sloss 1963). In this scale, gravel corresponds to -6 to -1 phi, sand corresponds to -1 to 4 phi , and mud corresponds to 4 to 12 phi . |
Entity Attribute Detail Citation |
For more information see Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp. |
Entity Attribute Detail URL | |
Distribution Liability |
These data were prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Although all data have been used by NOAA, no warranty, expressed or implied, is made by NOAA as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by NOAA in the use of these data or related materials. |
Data Set Credit | CCMA credits these people for deriving this dataset: M. Poti, B.P. Kinlan and C. Menza |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2012-05 |
Date Effective To | |
Position | NCCOS Scientific Data Coordinator |
Email Address | NCCOS.data@noaa.gov |
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* » Support Role | Distributor |
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* » Date Effective From | 2012-05 |
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Position | NCCOS Scientific Data Coordinator |
Email Address | NCCOS.data@noaa.gov |
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* » Support Role | Metadata Contact |
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* » Date Effective From | 2012-05 |
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Position | NCCOS Scientific Data Coordinator |
Email Address | NCCOS.data@noaa.gov |
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* » Support Role | Point of Contact |
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* » Date Effective From | 2012-05 |
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Position | NCCOS Scientific Data Coordinator |
Email Address | NCCOS.data@noaa.gov |
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* » Support Role | Principal Investigator |
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* » Date Effective From | 2012-05 |
Date Effective To | |
Person | Menza, Charles |
Address |
1305 East-West Hwy Silver Spring, MD 20910 |
Email Address | Charles.menza@noaa.gov |
Phone | 240-533-0372 |
Fax | 301-713-4388 |
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Extents
Currentness Reference | 201205 |
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Extent Group 1
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Extent Group 1 / Geographic Area 1
* » W° Bound | -75 |
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* » E° Bound | -69 |
* » N° Bound | 42 |
* » S° Bound | 37 |
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* » Time Frame Type | Discrete |
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* » Start | 2012-05 |
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Spatial Information
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Spatial Representation
Grid Representation Used? | Yes |
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Access Information
Data License | |
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Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» Data Access Procedure |
Contact Distributor for instructions on how to acquire dataset.; |
• » Data Access Constraints |
Data not yet available online. |
• Data Use Constraints |
Please reference NOAA/NOS/NCCOS/CCMA/Biogeography Branch when utilizing these data in a report or peer reviewed publication. Additionally, knowledge of how this dataset has been of use and which organizations are utilizing it is of great benefit for ensuring this information continues to meet the needs of the management and research communities. Therefore, it is requested but not mandatory, that any user of this data supply this information to the Project Manager: Charles Menza (charles.menza@noaa.gov) |
Metadata Access Constraints | |
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Distribution Information
Start Date | |
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» Download URL | http://coastalscience.noaa.gov/projects/download.aspx?fpath=D%3a%5cWebsites%5cNCCOS%5cprojects-attachments%5c80%5cNY_assessment_data_package.zip |
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File Type (Deprecated) | zip file |
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Compression | Zip |
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URLs
URL | http://coastalscience.noaa.gov/projects/detail?key=80 |
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URL Type | Online Resource |
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Activity Log
Activity Time | 2015-05-27 |
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Date that the source FGDC record was last modified. |
Activity Time | 2017-04-05 |
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Description |
Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. |
Activity Time | 2017-09-13 |
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Partial upload of Spatial Info section only. |
Activity Time | 2017-11-01 |
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Replaced entire Lineage section to populate new Source Contribution field. |
Activity Time | 2018-02-08 |
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Partial upload of Positional Accuracy fields only. |
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Issues
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Technical Environment
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Data Quality
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy |
The accuracy of this raster depends on the source and resolution of the data samples. See the following report for more information on the horizontal accuracy: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp. |
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Completeness Report |
The following reference provides information on omissions, selection criteria, generalization, definitions used, and other rules used to derive the data set: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp. |
Conceptual Consistency |
All users should independently analyze the dataset according to their own needs and standards to determine data usability. |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | |
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» Do these Data Comply with the Data Access Directive? | |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed |
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» Actual or Planned Long-Term Data Archive Location | |
» If World Data Center or Other, Specify | |
» If To Be Determined, Unable to Archive, or No Archiving Intended, Explain |
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» How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive? |
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Lineage
» Lineage Statement |
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Sources
Citation Title | Parsed and extracted database of mean sediment grain size |
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Contact Role Type | |
Contact Type | |
Contact Name | Dr. John Goff, University of Texas at Austin |
Publish Date | 2011-04-21 |
Extent Type | Discrete |
Extent Start Date/Time | 2011-04-21 |
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Source Contribution |
Sediment size data was used as input to a geostatistical model. | Source Geospatial Form: vector digital data | Type of Source Media: online |
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Process Steps
Process Step Number | 1 |
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» Description |
A geostatistical modeling approach was used to predict a continuous, gridded sediment size prediction surface from scattered sediment smaple points and to generate corresponding spatially-explicit uncertainty estimates. Geostatistical methods are based on the premise that neighboring samples are more similar than samples farther away (Tobler, 1970), a phenomenon known as spatial autocorrelation. Spatial autocorrelation was detected, quantified and modeled by semivariogram analysis, and used to make predictions at locations that have not been measured. See the following report for more information on this layer's lineage. Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp. |
Process Date/Time | 2012-05-01 00:00:00 |
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Source | Parsed and extracted database of mean sediment grain size |
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Acquisition Information
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FAQs
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Child Items
Rubric scores updated every 15m
Score | Type | Title |
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Entity (ENT) | Estimated mean grain size uncertainty | |
Related Items
Item Type | Relationship Type | Title |
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Catalog Details
Catalog Item ID | 38954 |
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Metadata Record Created By | Tyler Christensen |
Metadata Record Created | 2017-04-05 12:50+0000 |
Metadata Record Last Modified By | SysAdmin InPortAdmin |
» Metadata Record Last Modified | 2023-08-15 17:09+0000 |
Metadata Record Published | 2018-02-08 |
Owner Org | NCCOS |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2018-02-08 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2019-02-08 |
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