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Item Identification
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Data Set Info
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Spatial Info
Access Info
Distribution Info
URLs
Activity Log
Tech Environment
Data Quality
Lineage
Child Items
Catalog Details

Summary

ESI Browse Graphic

Short Citation
Office of Response and Restoration, 2024: Maine and New Hampshire 2016 BENTHIC Polygons, https://www.fisheries.noaa.gov/inport/item/40367.
Full Citation Examples

Abstract

This data set contains sensitive biological resource data for benthic species in Maine and New Hampshire. Vector polygons in this data set represent submerged aquatic vegetation (eelgrass) and marine worms. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for Maine and New Hampshire. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Distribution Information

Access Constraints:

None

Use Constraints:

DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES. Management boundaries are not to be considered legal boundaries. Edges may have been altered for cartographic processes. Note that the ESI database should not be used to the exclusion of other pertinent data or information held by state or federal agencies or other organizations. Likewise, information contained in the database cannot be used in place of consultations with environmental, natural resource, and cultural resource agencies, or in place of field surveys. Recognize that the information contained in the ESI database represents known concentration areas or occurrences of natural, cultural, and human-use resources, but does not necessarily represent the full distribution or range of each species or resource. This is particularly important to recognize when considering potential impacts to protected resources, such as endangered species, wetlands, etc. Besides the above warnings, there are no use constraints on these data. Acknowledgment of the originators, publishers, contributors, and sources listed would be appreciated in products derived from these data.

Controlled Theme Keywords

biota, environment, OIL SPILLS

Child Items

Type Title
Entity BENTHIC
Entity BIOFILE
Entity BREED_DT
Entity SOURCES

Contact Information

Point of Contact
ESI Program Manager
orr.esi@noaa.gov

Metadata Contact
ESI Program Manager
orr.esi@noaa.gov

Extents

Geographic Area 1

-71.0981° W, -66.8576° E, 45.1917° N, 42.8061° S

This reflects the extent of all land and water features included in the overall Maine and New Hampshire ESI study region. The bounding box for this particular feature class may vary depending on occurrences identified and mapped.

Time Frame 1
2014 - 2016

Time Frame Range starts with ESI Project Start Year, and ends with ESI Atlas Publication Year.

Item Identification

Title: Maine and New Hampshire 2016 BENTHIC Polygons
Short Name: Maine and New Hampshire 2016 BENTHIC Polygons
Status: Completed
Publication Date: 2016
Abstract:

This data set contains sensitive biological resource data for benthic species in Maine and New Hampshire. Vector polygons in this data set represent submerged aquatic vegetation (eelgrass) and marine worms. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for Maine and New Hampshire. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Purpose:

The ESI data are intended to provide baseline environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources. The ESI data may be appropriate for many other coastal management efforts, though the original intent should be kept in mind.

Notes:

1902

Other Citation Details:

Prepared by Woolpert, Inc., Dayton, Ohio for the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Emergency Response Division, Seattle, Washington.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > OIL SPILLS
ISO 19115 Topic Category
biota
ISO 19115 Topic Category
environment
UNCONTROLLED
None Benthic
None Coastal resources
None Coastal Zone Management
None Environmental Monitoring
None ESI
None Oil spill planning
None Sensitivity maps
None Wildlife

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW HAMPSHIRE

Physical Location

Organization: Office of Response and Restoration
City: Seattle
State/Province: WA
Country: USA

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: GIS Files
Maintenance Frequency: As Needed
Maintenance Note:

Data content is considered static once published. However, if issues with the Geodatabase linkages or table contents are identified, the Geodatabase and/or the associated Map Document may be updated. Assure most current data is being used by downloading from https://response.restoration.noaa.gov/esi_download and/or comparing modification dates provided at this site.

Data Presentation Form: Map (digital)
Entity Attribute Overview:

The primary attribute tables associated with the ESI biology data are BIOFILE, SOURCES, and BREED_DT. The geographic data layer containing biological resource information (in this case, BENTHIC) is linked to the BIOFILE using the RARNUM field. There is a many-to-many relationship from the data layer to the BIOFILE, as an RARNUM may be repeated in several geographic features. Likewise, in the BIOFILE, the same RARNUM may appear in multiple records, representing a unique combination of species found in that region. To be represented by the same RARNUM, these species groups must also share the same seasonality, concentration, mapping qualifier, and source information. The items in the BIOFILE are ELEMENT, SUBELEMENT, NAME, GEN_SPEC, S, F, STATE, S_DATE, F_DATE, GRANK, GRANKDATE, MAPPING_QUALIFIER, CONC, JAN, FEB, MAR, APR, MAY, JUN, JUL, AUG, SEP, OCT, NOV, DEC, BREED1, BREED2, BREED3, BREED4, BREED5, RARNUM, G_SOURCE, S_SOURCE, and BREED. The G_SOURCE and S_SOURCE fields provide links to the SOURCES table, where object level source information is available. The BREED field is the link to the BREED_DT table, where searchable breed information is provided. The links to both of these tables are also many-to-many. During the collection of the ESI data, six relational data tables are used to store the attribute data. These are the BIORES, BREED, SEASONAL, SOURCES, SPECIES, and STATUS tables. When we create new ESI data, we populate these tables to maintain the integrity of the data collected. Once completed, all information populating these tables is collapsed into the BIOFILE to ease data queries and general usability of the final product.

Entity Attribute Detail Citation:

A complete description of entity types, attributes, and attribute values for ESI atlases can be found in the NOAA ESI Guidelines. This includes documentation of the six relational tables (mentioned above) used during data collection.

Entity Attribute Detail URL: https://response.restoration.noaa.gov/esi_guidelines
Distribution Liability:

Although these data have been processed and used successfully on a computer system at the National Oceanic and Atmospheric Administration (NOAA), no warranty, expressed or implied, is made by NOAA regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. NOAA warrants the delivery of this product in computer-readable format. If problems are encountered in downloading the ESI data or with file corruption, contact NOAA (see Distributor). These data represent a snapshot in time and temporal changes may have occurred. The data are not intended to include all biological or human-use resources present in an area; they focus on species and resources particularly sensitive to oiling. In the event of a spill, they should be used for a first assessment only. The data providers are the experts with regard to individual resources. They should be contacted to confirm if more current data exist or if in-depth information is needed about a particular resource.

Data Set Credit: This project was supported by the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of Response and Restoration (OR&R), Emergency Response Division (ERD), Seattle, Washington.

Support Roles

Data Steward

CC ID: 508974
Date Effective From: 2016
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Distributor

CC ID: 508976
Date Effective From: 2016
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Metadata Contact

CC ID: 508977
Date Effective From: 2016
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Point of Contact

CC ID: 508975
Date Effective From: 2016
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Extents

Currentness Reference: Publication Date

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 508980
W° Bound: -71.0981
E° Bound: -66.8576
N° Bound: 45.1917
S° Bound: 42.8061
Description

This reflects the extent of all land and water features included in the overall Maine and New Hampshire ESI study region. The bounding box for this particular feature class may vary depending on occurrences identified and mapped.

Extent Group 1 / Time Frame 1

CC ID: 508979
Time Frame Type: Range
Start: 2014
End: 2016
Description:

Time Frame Range starts with ESI Project Start Year, and ends with ESI Atlas Publication Year.

Spatial Information

Spatial Resolution

Level of Detail Description:

In the "Vector Representation" section, Topology Level is considered "Geometry Only", and Polygons are considered as "Complex Objects".

Spatial Representation

Representations Used

Vector: Yes
Text / Table: Yes

Vector Representation 1

CC ID: 589570
Topology Level: Geometry Only
Complex Object Present?: Yes
Complex Object Count: 6097

Access Information

Security Class: Unclassified
Data Access Procedure:

Data can be accessed by downloading the zipped ArcGIS geodatabase from the Download URL (see Distribution Information). Questions can be directed to the ESI Program Manager (Point Of Contact).

Data Access Constraints:

None

Data Use Constraints:

DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES. Management boundaries are not to be considered legal boundaries. Edges may have been altered for cartographic processes. Note that the ESI database should not be used to the exclusion of other pertinent data or information held by state or federal agencies or other organizations. Likewise, information contained in the database cannot be used in place of consultations with environmental, natural resource, and cultural resource agencies, or in place of field surveys. Recognize that the information contained in the ESI database represents known concentration areas or occurrences of natural, cultural, and human-use resources, but does not necessarily represent the full distribution or range of each species or resource. This is particularly important to recognize when considering potential impacts to protected resources, such as endangered species, wetlands, etc. Besides the above warnings, there are no use constraints on these data. Acknowledgment of the originators, publishers, contributors, and sources listed would be appreciated in products derived from these data.

Distribution Information

Distribution 1

CC ID: 508981
Start Date: 2016
End Date: Present
Download URL: https://response.restoration.noaa.gov/esi_download
Distributor: ESI Program Manager (2016 - Present)
File Name: Maine_NewHampshire_2016_ESI.gdb
Description:

This feature class is part of the downloadable Esri Arc Geodatabase.

File Date/Time: 2018-01-09 00:00:00
File Type (Deprecated): Arc Geodatabase
Distribution Format: ESRI File Geodatabase
File Size: 247 MB
Compression: Zip

URLs

URL 1

CC ID: 508972
URL: https://response.restoration.noaa.gov/esi
Name: ESI Overview
URL Type:
Online Resource
File Resource Format: html
Description:

Overview of ESI data content and uses.

URL 2

CC ID: 748065
URL: https://response.restoration.noaa.gov/esi_guidelines
Name: ESI Guidelines
URL Type:
Online Resource
File Resource Format: pdf
Description:

Guidelines for developing ESI data content and overview of ESI data structure. Useful for data collectors and users requiring more in depth information on the ESI process.

URL 3

CC ID: 748066
URL: https://response.restoration.noaa.gov/sites/default/files/ESI-Browse-Graphic.pdf
Name: ESI Browse Graphic
URL Type:
Browse Graphic
File Resource Format: pdf
Description:

ESI Browse Graphic depicts the relationships between the spatial data layers and the attribute data tables for the Maine and New Hampshire ESI data.

Activity Log

Activity Log 1

CC ID: 508995
Activity Date/Time: 2017-04
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 508994
Activity Date/Time: 2017-04-05
Description:

Converted from Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 589568
Activity Date/Time: 2017-09-13
Description:

Partial upload of Spatial Info section only.

Activity Log 4

CC ID: 603831
Activity Date/Time: 2017-11-01
Description:

Replaced entire Lineage section to populate new Source Contribution field.

Activity Log 5

CC ID: 719189
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Technical Environment

Description:

The software packages used to develop the atlas are Environmental Systems Research Institute's ArcGIS for Desktop 10.2(R) . The hardware configuration is PCs with Windows Operating System 7.

Data Quality

Accuracy:

A multi-stage error checking process is used to verify both attribute accuracy and logical consistency throughout data production. The process includes a standardized data entry methodology, data review by in-house and external resource experts, a final Quality Assurance/Quality Control (QA/QC) process, and multiple automated logical consistency checks. Quantitative data (such as densities, counts, abundances, or concentrations) provided by resource experts for inclusion in the data set may vary widely in attribute accuracy, depending upon the methodology used to collect and compile such data. For a more detailed evaluation of source data attribute accuracy, contact the sources listed in the Lineage section.

Horizontal Positional Accuracy:

Spatial components for the biological data layers can come from expert interviews, hardcopy, or digital sources. Some of the spatial components of the biological data layers may have been developed using regional experts who estimate concentration areas. It is difficult to estimate the positional accuracy of such data, except to state that they are compiled on hardcopy base maps with a scale of 1:24,000. Some of the spatial components of the biological data sets are developed from pre-existing digital or hardcopy sources and reflect the positional accuracy of these original data. Note that biological resource data by their very nature are considered "fuzzy", and this should be understood when considering the positional accuracy of vector digital objects representing these resources. See the Lineage and Process_Description sections for more information on the original source data and how these data were integrated or manipulated to create the final data set.

Completeness Report:

These data represent a synthesis of expert knowledge and digital data on submerged aquatic vegetation (eelgrass) and marine worm bed habitats. These data do not necessarily represent all benthic occurrences in Maine and New Hampshire. The following species are included in this data set: X00001, Eelgrass, Zostera marina; X00013, Worm bed, n\a.

Conceptual Consistency:

A multi-stage error checking process, described in the above Attribute Accuracy Report, is used to verify both attribute accuracy and logical consistency throughout data production. This process includes multiple automated logical consistency checks that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies, and SQL SERVER(R) to ArcGIS(R) consistencies. A final review is made by the GIS manager, before the final Geodatabase and metadata are created. After the data are delivered to NOAA, they are again subjected to several consistency checks, and processed into the final delivery format.

Lineage

Sources

EELGRASS2010 (MAINE EELGRASS DISTRIBUTION, 2001-2010)

CC ID: 603834
Contact Name: MAINE DEPARTMENT OF MARINE RESOURCES (MEDMR)
Publish Date: 2010-01-01
Extent Type: Discrete
Extent Start Date/Time: 2010
Citation URL: http://megis.maine.gov/catalog/
Source Contribution:

BENTHIC information | Source Geospatial Form: vector digital data | Type of Source Media: online

EELGRASS2013 (CASCO BAY EELGRASS)

CC ID: 603833
Contact Name: CASCO BAY ESTUARY PARTNERSHIP
Publish Date: 2013-01-01
Extent Type: Discrete
Extent Start Date/Time: 2013
Citation URL: http://megis.maine.gov/catalog/
Source Contribution:

BENTHIC information | Source Geospatial Form: vector digital data | Type of Source Media: online

GREAT BAY ESTUARY EELGRASS, 2013

CC ID: 603835
Contact Name: DR. FREDERICK SHORT, UNIVERSITY OF NEW HAMPSHIRE, DURHAM NH
Publish Date: 2015-01-01
Extent Type: Discrete
Extent Start Date/Time: 2013
Citation URL: http://www.granit.unh.edu/data/search?dset=eelgrass/eelgrass2013
Source Contribution:

BENTHIC information | Source Geospatial Form: DIGITAL VECTOR DATA | Type of Source Media: online

MEDMR_WORMS2005 (MARINE WORM BAIT HARVEST LOCATIONS)

CC ID: 603832
Contact Name: MAINE DEPARTMENT OF MARINE RESOURCES (MEDMR)
Publish Date: 2007-01-01
Extent Type: Discrete
Extent Start Date/Time: 2005
Scale Denominator: 30000
Source Contribution:

BENTHIC information | Source Geospatial Form: vector digital data | Type of Source Media: UNKNOWN

Process Steps

Process Step 1

CC ID: 603836
Description:

Polygons depicting eelgrass (Zostera marina) in Maines coastal waters are based on the 2010 data set produced by MEDMR, Bureau of Resource Management, and a 2013 data set for Casco Bay produced by the Casco Bay Estuary Partnership. Polygons depicting eelgrass in NH coastal waters are based on the Great Bay Estuary Eelgrass 2013 data set developed by Dr. Frederick Short, UNH. Polygons depicting marine worm beds are based on the 2005 marine worm data set provided by MEDMR. All digital data received from NH and Maine for the Benthic Layer were edited as necessary to match NOAA ESI Shoreline layer included in this atlas.

Process Date/Time: 2016-01-01 00:00:00
Process Contact: ESI Program Manager
Email Address: orr.esi@noaa.gov
Source: EELGRASS2010 (MAINE EELGRASS DISTRIBUTION, 2001-2010)

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity BENTHIC
Entity BIOFILE
Entity BREED_DT
Entity SOURCES

Catalog Details

Catalog Item ID: 40367
GUID: gov.noaa.nmfs.inport:40367
Metadata Record Created By: Tyler Christensen
Metadata Record Created: 2017-04-05 14:51+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2018-09-28
Owner Org: ORR
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2018-09-28
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2019-09-28