Alabama ESI: INVERT (Invertebrate Polygons)
Office of Response and Restoration
Data Set
(DS)
| ID: 40204
| Published / External
Created: 2017-04-05
|
Last Modified: 2023-05-30
Project (PRJ) | ID: 46666
ID: 40204
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | Alabama ESI: INVERT (Invertebrate Polygons) |
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Short Name | Alabama_invert |
* Status | Completed |
Creation Date | |
Revision Date | |
• Publication Date | 2007-10 |
* » Abstract |
This data set contains sensitive biological resource data for marine and estuarine invertebrate species in Alabama. Vector polygons in this data set represent invertebrate distribution and concentration areas. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Alabama. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. |
* Purpose |
The ESI data were collected, mapped, and digitized to provide 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. |
Notes |
1572 |
Other Citation Details |
Prepared by Research Planning, Inc., Columbia, South Carolina for the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Emergency Response Division (formerly Hazardous Materials Response Division), Seattle, Washington and Assessment and Restoration Division, Silver Spring, Maryland; Department of Homeland Security, U.S. Coast Guard, Office of Incident Management and Preparedness, Washington, D.C.; and U.S. Environmental Protection Agency, Region 4, Nonpoint Source and Wetlands Planning Section, Atlanta, Georgia. |
• Supplemental Information |
Resource Description - ESI Atlas for Alabama |
DOI (Digital Object Identifier) | |
DOI Registration Authority | |
DOI Issue Date |
Keywords
Theme Keywords
Thesaurus | Keyword |
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ISO 19115 Topic Category | biota |
ISO 19115 Topic Category | environment |
NOS Data Explorer Topic Category | Environmental Monitoring |
None | Coastal resources |
None | Coastal Zone Management |
None | ESI |
None | Invertebrate |
None | Oil spill planning |
None | Sensitivity maps |
None | Wildlife |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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None | Alabama |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Platform Keywords
Thesaurus | Keyword |
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Physical Location
• » Organization | Office of Response and Restoration |
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• » City | Silver Spring |
• » State/Province | MD |
• Country | |
• » 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 | vector digital data |
• Entity Attribute Overview |
In addition to the geographic data layers, six relational attribute or data tables, BIORES, BREED, SEASONAL, SOURCES, SPECIES, and STATUS, are used to store the complex biological data in the ESI data structure. The geographic data layer containing biological resource information (in this case, INVERT) is linked to the Biological Resources table (BIORES) using the unique ID and the lookup table BIO_LUT, or it can be linked directly using RARNUM. The ID is a unique combination of the atlas number (for the Alabama atlas, the number is 231), an element/layer specific number (BIRDS are layer 1, FISH are layer 2, etc.), and a unique record number. The RARNUM represents a unique combination of species, seasonalities, concentrations, and source information. For each of these groupings, a number is generated. That number is concatenated with the atlas number to create a "resource at risk" number that is unique across atlases. BIORES and the other relational data tables are described below in detail. See the Browse_Graphic section for a link to the entity-relationship diagram, which describes the way these tables relate to the geographic data layers and other attribute tables in the ESI data structure.Due to the complexity of the relational database model, the data items are also post-processed into a flat file format. This table, called BIOFILE, may be used in place of the relational files described below to ease simple data queries. The items in the flat file are ELEMENT, SUBELEMENT, NAME, GEN_SPEC, S, F, NHP, DATE_PUB, 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. All of these items are the same as their counterparts in the individual data tables described below, except the BREED1-BREED5 and BREED items. BREED is a newly generated variable used to link to the BREED_DT data table, a modified, more compact version of the relational BREED data table. BREED1-BREED5 give a text summary of when each life stage occurs within the associated map object. The life stages referred to are the same as those listed in the Detailed_Description of the BREED data table. The link to the BIOFILE may be made through the BIO_LUT, using ID to link to RARNUM, or BIOFILE may be linked directly to the RARNUM in each of the geographic layer's attribute data tables. As mentioned, BREED_DT is an auxiliary support data table to the flat file structure, which allows the user to do searches based on month for seasonal breeding activities. The link from the flat file to BREED_DT is the BREED item.A second supporting data table is SOURCES. This is the same as the source file described above, and the link from the flat file is both G_SOURCE and S_SOURCE. It should be noted that although the flat file eases data query, it is not a normalized database structure, and actual updates performed by the states and other responsible agencies should be done using the relational data tables. The entity-relationship diagram, describing relationships between attribute tables in the ESI data structure, does NOT include the BIOFILE data table, and this data table is NOT described in detail below. |
Entity Attribute Detail Citation |
Unknown |
Entity Attribute Detail URL | |
Distribution Liability |
Although these data have been processed 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, and will offer a replacement copy of the product when the product is determined unreadable by computer-input peripherals, or when the physical medium is delivered in damaged condition. |
Data Set Credit | This project was supported by the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Emergency Response Division (formerly Hazardous Materials Response Division), Seattle, Washington and Assessment and Restoration Division, Silver Spring, Maryland; Department of Homeland Security, U.S. Coast Guard, Office of Incident Management and Preparedness, Washington, D.C.; and U.S. Environmental Protection Agency, Region 4, Nonpoint Source and Wetlands Planning Section, Atlanta, Georgia. |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2007-10 |
Date Effective To | |
Position | ESI Program Manager |
Address |
7600 Sand Point Way NE Seattle, WA 98115 |
Email Address | orr.esi@noaa.gov |
Phone | |
Fax | |
Mobile | |
URL | |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2007-10 |
Date Effective To | |
Position | ESI Program Manager |
Address |
7600 Sand Point Way NE Seattle, WA 98115 |
Email Address | orr.esi@noaa.gov |
Phone | |
Fax | |
Mobile | |
URL | |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2007-10 |
Date Effective To | |
Position | ESI Program Manager |
Address |
7600 Sand Point Way NE Seattle, WA 98115 |
Email Address | orr.esi@noaa.gov |
Phone | |
Fax | |
Mobile | |
URL | |
Business Hours | |
Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2007-10 |
Date Effective To | |
Position | ESI Program Manager |
Address |
7600 Sand Point Way NE Seattle, WA 98115 |
Email Address | orr.esi@noaa.gov |
Phone | |
Fax | |
Mobile | |
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Contact Instructions |
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* Contact Instructions |
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* » Contact | |
* Contact Instructions |
Extents
Currentness Reference | The biological data were compiled during 2006-2007. The currentness dates for the data range from 1996 to 2007 and are documented in the Lineage section. |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -88.5 |
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* » E° Bound | -87.375 |
* » N° Bound | 30.875 |
* » S° Bound | 30.125 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Vertical Minimum | |
Vertical Maximum |
Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 1996 |
End | 2007 |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Spatial Information
Spatial Resolution
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Vertical Distance | |
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Equivalent Scale Denominator | |
Level of Detail Description |
Spatial Representation
Grid Representation Used? | |
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Vector Representation Used? | Yes |
Text / Table Representation Used? | |
TIN Representation Used? | |
Stereo Model Representation Used? | |
Video Representation Used? |
Grid Representation
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Vector Representation
Topology Level | |
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Complex Object Present? | Yes |
Complex Object Count | 469 |
Composite Object Present? | |
Composite Object Count | |
Curve Object Present? | Yes |
Curve Object Count | 137596 |
Point Object Present? | Yes |
Point Object Count | 469 |
Solid Object Present? | |
Solid Object Count | |
Surface Object Present? | Yes |
Surface Object Count | 736 |
Vector Representation
Topology Level | |
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Complex Object Present? | |
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Surface Object Present? | |
Surface Object Count |
Reference Systems
Reference System
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Access Information
Data License | |
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Data License URL | |
Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» Data Access Procedure |
Contact NOAA for distribution options (see Distributor). ESI data are processed into multiple formats to make them useful to the widest community of GIS/mapping users. Distribution formats include Access Personal Geodatabase, ARC export files, Shape files, and MARPLOT map folders. An ArcMap .mxd file, an ArcView 3.x ESI project, and an ESI_Viewer product for use with the MARPLOT data are also included on the distribution DVDs for ease of use of the ESI data. The database files are distributed both in the NOAA standard relational database format (see NOAA Technical Memorandum NOS ORCA 115) and in a simplified desktop flat file format. This metadata document includes information on both of these database formats.; |
• » Data Access Constraints |
None |
• Data Use Constraints |
DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES.Besides the above warning, there are no use constraints on these data. 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. Acknowledgment of the originators, publishers, contributors, and sources listed would be appreciated in products derived from these data. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
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» Download URL | |
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Archive Information
Location | |
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URL | |
Description | |
DOI | |
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DOI | |
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URLs
URL | http://response.restoration.noaa.gov/esi |
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Name | |
URL Type | Online Resource |
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Description |
Activity Log
Activity Time | 2015-07-06 |
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Activity Type | |
Responsible Party | |
Description |
Date that the source FGDC record was last modified. |
Activity Time | 2017-04-05 |
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Activity Type | |
Responsible Party | |
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 Time | 2017-09-13 |
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Activity Type | |
Responsible Party | |
Description |
Partial upload of Spatial Info section only. |
Activity Time | 2017-11-01 |
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Activity Type | |
Responsible Party | |
Description |
Replaced entire Lineage section to populate new Source Contribution field. |
Activity Time | 2018-02-08 |
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Activity Type | |
Responsible Party | |
Description |
Partial upload of Positional Accuracy fields only. |
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Issues
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Author | |
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Author | |
Issue |
Technical Environment
Description |
The software packages used to develop the atlas are Environmental Systems Research Institute's ARC/INFO(r) (version 9.2) and SQL SERVER(r) (version 2000). The hardware configuration is PCs with Windows Operating System (2000/XP/2003).The Spatial_Data_Organization Information section refers only to the source files in the ARC export format. The following files are included in that data set: birds.e00, esi.e00, fish.e00, habitats.e00, hydro.e00, index.e00, invert.e00, m_mammal.e00, mgt.e00, reptiles.e00, socecon.e00, t_mammal.e00. Associated relational and desktop data tables provided in Arc export and text format are bio_lut, biofile, biores, breed, breed_dt, seasonal, soc_dat, soc_lut, sources, species, and status. |
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Data Quality
Representativeness | |
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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, hardcopy 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. |
Analytical Accuracy | |
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. See the Lineage and Process_Description sections for more information on the original data source and how these data were integrated or manipulated to create the final data set. 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. |
Vertical Positional Accuracy | |
Quantitation Limits | |
Bias | |
Comparability | |
Completeness Measure | |
Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
Detection Limit | |
Completeness Report |
These data represent a synthesis of expert knowledge, survey data, and digital data on invertebrate distribution and concentration areas. These data do not necessarily represent all invertebrate occurrences in Alabama. The following species are included in this data set: (Species_ID, Common Name, Scientific Name [n/a if not applicable]): 43, Eastern oyster, Crassostrea virginica; 49, Blue crab, Callinectes sapidus; 51, Brown shrimp, Penaeus aztecus; 97, Grass shrimp, Palaemonetes spp.; 119, Atlantic brief squid, Lolliguncula brevis; 169, White shrimp, Penaeus vannamei; 307, Lined sea star, Luidia clathrata; 325, Pink shrimp, Penaeus brevirostris; 397, Mantis shrimp, Gonadactylus falcatus; 436, Atlantic seabob shrimp, Xiphopenaeus kroyeri; 566, Thinstripe hermit, Clibanarius vittatus; 567, Hooked mussel, Ischadium recurvum; 568, Five-slotted sand dollar, Mellita quinquiesperforata; 569, Shark eye, Neverita duplicata; 570, Flatclaw hermit, Pagurus pollicaris; 576, Roughback shrimp, Rimapenaeus similis. |
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 (such as dangles, unnecessary nodes, etc.), and SQL SERVER(r) to ARC/INFO(r) consistencies. A final review is made by the GIS manager, where the data are written to CD-ROM and the metadata are written.After the data are delivered to NOAA, they are again subjected to a number of quality and consistency checks. In the process of checking for topological and database consistencies, new IDs and RARNUMs or HUNUMs are also generated. The new IDs are a combination of atlas number, element number, and record number. In addition, the value used to represent the element is modified to reflect the type of feature being mapped. In the case of an element that is normally represented by a point or polygon, a value of 20 is added to the standard element value for mapping of linear features. In the case where an element usually mapped as a polygon is represented by a point, a value of 30 is added to the regular element value. The RARNUMs are also modified to include the atlas number, so multiple atlases can be combined and RARNUMs remain unique. RARNUMs are redefined on an element basis, so "resource at risk" groupings will contain only a single element. HUNUMs are also modified to include the atlas number. |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | |
» 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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» Approximate Delay Between Data Collection and Archiving | |
» 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 | BIRD DISTRIBUTION AND SEASONALITY IN ALABAMA |
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Contact Role Type | |
Contact Type | |
Contact Name | VANHOOSE, MARK (ADCNR) |
Publish Date | 2006-01-01 |
Extent Type | Discrete |
Extent Start Date/Time | 2006 |
Extent End Date/Time | |
Scale Denominator | |
Citation URL | |
Citation URL Name | |
Citation URL Description | |
Source Contribution |
INVERT INFORMATION | Source Geospatial Form: EXPERT KNOWLEDGE | Type of Source Media: PERSONAL COMMUNICATION |
Citation Title | FISH AND INVERTEBRATE DISTRIBUTION AND SEASONALITY |
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Contact Role Type | |
Contact Type | |
Contact Name | HARTMAN, LESLIE; ALABAMA DEPARTMENT OF CONSERVATION AND NATURAL RESOURCES (ADCNR) |
Publish Date | 2007-01-01 |
Extent Type | Discrete |
Extent Start Date/Time | 2007 |
Extent End Date/Time | |
Scale Denominator | |
Citation URL | |
Citation URL Name | |
Citation URL Description | |
Source Contribution |
INVERT INFORMATION | Source Geospatial Form: spreadsheet | Type of Source Media: EMAIL |
Citation Title | SENSITIVITY OF COASTAL ENVIRONMENTS AND WILDLIFE TO SPILLED OIL ALABAMA ATLAS |
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Contact Role Type | |
Contact Type | |
Contact Name | NOAA |
Publish Date | 1996-01-01 |
Extent Type | Discrete |
Extent Start Date/Time | 1996 |
Extent End Date/Time | |
Scale Denominator | 24000 |
Citation URL | |
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Source Contribution |
INVERT INFORMATION | Source Geospatial Form: vector digital data | Type of Source Media: CD-ROM |
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Scale Denominator |
Process Steps
Process Step Number | 1 |
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» Description |
Two main sources of data were used to depict invert distribution and seasonality for this data layer: (1) personal interviews with resource experts from Alabama Department of Conservation and Natural Resources Marine Resources Division (ADCNR MRD) and U.S. Fish and Wildlife Service (USFWS), and (2) digital data from the previous ESI Atlas provided by NOAA.The above digital and/or hardcopy sources were compiled by the project biologist to create the INVERT data layer. Depending on the type of source data, three general approaches are used for compiling a biology data layer: (1) information gathered during initial interviews and from hardcopy sources are compiled onto U.S. Geological Survey 1:24,000 topographic quadrangles and digitized; (2) hardcopy maps are digitized at their source scale; and/or (3) digital data layers are evaluated and used "as is" or integrated with the hardcopy data sources. See the Lineage section for additional information on the type of source data for this data layer. The compiled ESI, biology, and human-use data are plotted onto hardcopy draft maps. Following the delivery of draft maps to the participating resource experts, a second set of interviews are conducted to review the maps. If necessary, edits to the INVERT data layer are made based on the recommendations of the resource experts, and final hardcopy maps and digital data are created. |
Process Date/Time | 2007-08-01 00:00:00 |
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Acquisition Information
Instruments
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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) | BIORES | |
Entity (ENT) | BIO_LUT | |
Entity (ENT) | BREED | |
Entity (ENT) | INVERT.PAT | |
Entity (ENT) | SEASONAL | |
Entity (ENT) | SOURCES | |
Entity (ENT) | SPECIES | |
Entity (ENT) | STATUS | |
Related Items
Item Type | Relationship Type | Title |
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Catalog Details
Catalog Item ID | 40204 |
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Metadata Record Created By | Tyler Christensen |
Metadata Record Created | 2017-04-05 14:50+0000 |
Metadata Record Last Modified By | SysAdmin InPortAdmin |
» Metadata Record Last Modified | 2023-05-30 18:09+0000 |
Metadata Record Published | 2018-02-08 |
Owner Org | ORR |
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 |
Tags |
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