2020 DOGAMI Lidar DEM: South Coast, OR
OCM Partners
Data Set
(DS)
| ID: 74853
| Published / External
Created: 2025-02-06
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Last Modified: 2025-02-10
Project (PRJ) | ID: 49404
ID: 74853
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2020 DOGAMI Lidar DEM: South Coast, OR |
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Short Name | or2020_south_cst_dem_m10261 |
* Status | Completed |
Creation Date | 2020 |
Revision Date | |
• Publication Date | 2024 |
* » Abstract |
Original Dataset Product: This GIS dataset contains Bare Earth (BE) raster grids depicting lidar-derived elevation data for 2020 Oregon Lidar Consortium South Coast 3DEP project area. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set. The nominal pulse density is eight pulses per square meter. The bare earth (BE) digital elevation model (DEM) raster grid cell size is 3 feet. The native projection is Lambert Conic Conformal, units are in International feet. The native horizontal datum is North American Datum of 1983 (NAD83(2011)); the native vertical datum is North American Vertical Datum of 1988 (NAVD88); (Geoid 12B). NV5 Geospatial collected the lidar and created this dataset in partnership with the Oregon Department of Geology and Mineral Industries (DOGAMI). Ocean water was not classed as water or hydroflattened to preserve offshore terrain. Original Dataset Geographic Extent: Coos County, Curry County, Josephine County, and Douglas County, Oregon, covering approximately 1,729,680 acres. This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services. |
* Purpose |
This dataset provides high resolution elevation data that is used to produce three-dimensional models of the earth surface for the purpose of managing natural resources and mapping natural hazards. |
Notes | |
Other Citation Details | |
• Supplemental Information |
CONTRACTOR: NV5 Geospatial All ground survey data, Lidar data acquisition, calibration, and follow-on processing were completed by the prime contractor, NV5 Geospatial |
DOI (Digital Object Identifier) | |
DOI Registration Authority | |
DOI Issue Date |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION |
ISO 19115 Topic Category | elevation |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA |
Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > LAND SURFACE |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | LIDAR > Light Detection and Ranging |
Platform Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Platform Keywords | Airplane > Airplane |
Physical Location
• » Organization | Office for Coastal Management |
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• » City | Charleston |
• » State/Province | SC |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | Elevation |
• Maintenance Frequency | None Planned |
Maintenance Note | |
» Data Presentation Form | Model (digital) |
• Entity Attribute Overview | |
Entity Attribute Detail Citation | |
Entity Attribute Detail URL | |
Distribution Liability |
Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, surveying, or site specific purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. Acknowledgment of Oregon Department of Geology and Industries (DOGAMI) would be appreciated for products derived from these data. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. |
Data Set Credit | NV5 Geospatial, Oregon Dept. of Geology and Mineral Industries (DOGAMI), USGS |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2025 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2025 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2024 |
Date Effective To | |
Organization | U.S. Geological Survey |
Address |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
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URL | https://usgs.gov |
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Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2025 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
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Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2025 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
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Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -124.60174 |
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* » E° Bound | -123.583002 |
* » N° Bound | 43.384681 |
* » S° Bound | 41.964943 |
* » Description |
Extent Group 1 / Vertical Extent
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2020-10-14 |
End | 2020-10-26 |
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Description |
Spatial Information
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Spatial Representation
Grid Representation Used? | Yes |
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Vector Representation Used? | No |
Text / Table Representation Used? | No |
TIN Representation Used? | No |
Stereo Model Representation Used? | No |
Video Representation Used? | No |
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Reference Systems
Reference System
EPSG Code | EPSG:6557 | ||||||||||||||||||||||||||||
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EPSG Code | EPSG:8228 | ||||||||||||||||||||||||||||
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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 |
Data is available online for bulk and custom downloads. |
• » Data Access Constraints |
None |
• Data Use Constraints |
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2025-02-06 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10261/details/10261 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2025 - Present) |
File Name | Customized Download |
Description |
Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. |
File Date/Time | |
File Type (Deprecated) | |
Distribution Format | Not Applicable |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
Start Date | 2024 |
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End Date | Present |
» Download URL | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/OR_SouthCoast_2019_A19/OR_SoCoast_1_2019/TIFF/ |
Distributor | U.S. Geological Survey (2024 - Present) |
File Name | Bulk Download |
Description |
Bulk download of data files in GeoTIFF format, Oregon Lambert NAD83(2011), international feet coordinates and elevations in NAVD88 (Geoid12B) feet. |
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Distribution Format | GeoTIFF |
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URLs
URL | https://coast.noaa.gov/dataviewer/ |
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Name | NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) |
URL Type | Online Resource |
File Resource Format | HTML |
Description |
The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. |
URL | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_SouthCoast_2019_A19/OR_SoCoast_1_2019/reports/OLC_South_Coast_Data_Report_Updated_20240215_Signed.pdf |
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Name | Lidar Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the lidar report. |
URL | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/OR_SouthCoast_2019_A19/ |
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Name | USGS Additional Info |
URL Type | Online Resource |
File Resource Format | |
Description |
This link is to the reports, breaklines, metadata, spatial metadata, and shapefiles. |
URL | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_SouthCoast_2019_A19/USGS_OR_SouthCoast_2019_A19_Project_Report.pdf |
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Name | USGS Project Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. |
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Technical Environment
Description |
LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation Connect, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 19, ESRI ArcGIS 10.3.1, Windows 10 Operating System |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy | |
Vertical Positional Accuracy |
For this delivery, the Raw Swath NVA was tested with checkpoints located in bare earth and urban (non-vegetated) areas within the delivery area. These checkpoints are not used in the calibration or post processing of the lidar point cloud data. The checkpoints are distributed throughout the project area and surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface are measured for the x,y location of each check point. Elevations interpolated from the lidar surface are then compared to the elevation values of the surveyed control points. AccuracyZ is tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. Cumulative NVA and VVA are reported for the entire DPA. The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA is: 19.6 cm or better at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the "bare earth" and "urban" land cover classes. This is a required accuracy. The Bare Earth DEM NVA is tested with checkpoints located in bare earth and urban (non-vegetated) areas; the 2. Vegetated Vertical Accuracy (VVA): VVA is reported for "forested", "shrub", and "tall grass" land cover classes within delivery area. The target VVA is: 29.4 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA is tested with checkpoints located in vegetated areas. The checkpoints are distributed throughout the project area and are surveyed using GPS techniques. See survey report for additional survey methodologies. USGS DEM Determined Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 5.04 cm RMSE Vegetated Vertical Accuracy (VVA) = 17.58 cm at 95th Percentile |
Quantitation Limits | |
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Field Precision | |
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Detection Limit | |
Completeness Report |
A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. |
Conceptual Consistency |
Data covers the area specified for this project. |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | Yes |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | Unknown |
» Do these Data Comply with the Data Access Directive? | Yes |
» 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 | |
» Actual or Planned Long-Term Data Archive Location | NCEI-NC |
» 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? |
Data is backed up to cloud storage. |
Lineage
» Lineage Statement |
The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS. |
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Sources
Citation Title | USGS GeoTIFF Files |
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Contact Role Type | Publisher |
Contact Type | Organization |
Contact Name | USGS |
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Citation URL | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/OR_SouthCoast_2019_A19/OR_SoCoast_1_2019/TIFF/ |
Citation URL Name | USGS GeoTIFF Files |
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Process Steps
Process Step Number | 1 |
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» Description |
Lidar data acquisition began on October 14 and was completed October 26, 2020. The survey utilized the Riegl 1560i laser systems mounted in a Cessna Stationair. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight. Processing.1. Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each flight line. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using ALS Post Processor software and IPAS Pro GPS/INS software, based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency. 6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies. 9. Points were output as laser points, TINed and GRIDed surfaces. |
Process Date/Time | 2020-10-29 00:00:00 |
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Process Step Number | 2 |
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» Description |
Lidar Post-Processing: The calibrated and controlled lidar swaths were processed using automatic point classification routines in proprietary software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags were stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project were calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified lidar swath files were delivered to the client. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set. |
Process Date/Time | 2020-10-29 00:00:00 |
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Process Step Number | 3 |
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» Description |
Raster DEM Processing: Class 2 (Ground) LiDAR points were used to create a 1-meter raster DEM. Using automated scripting routines within LasTools a GeoTIFF file was created for each tile. Each surface is reviewed using ArcMap to check for any surface anomalies or incorrect elevations found within the surface. |
Process Date/Time | 2021-10-15 00:00:00 |
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Process Step Number | 4 |
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» Description |
The NOAA Office for Coastal Management (OCM) created references to the USGS GeoTIFF files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS). These are the GeoTIFF files that are being accessed: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/OR_SouthCoast_2019_A19/OR_SoCoast_1_2019/TIFF/ |
Process Date/Time | 2025-02-07 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Acquisition Information
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Catalog Details
Catalog Item ID | 74853 |
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Metadata Record Created By | Rebecca Mataosky |
Metadata Record Created | 2025-02-06 21:16+0000 |
Metadata Record Last Modified By | Rebecca Mataosky |
» Metadata Record Last Modified | 2025-02-10 15:15+0000 |
Metadata Record Published | 2025-02-10 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2025-02-10 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2026-02-10 |
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