2019 OLC Lidar: Portland Metro, OR
OCM Partners
Data Set
(DS)
| ID: 71982
| Published / External
Created: 2024-01-31
|
Last Modified: 2024-01-31
Project (PRJ) | ID: 49401
ID: 71982
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2019 OLC Lidar: Portland Metro, OR |
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Short Name | |
* Status | Completed |
Creation Date | |
Revision Date | |
• Publication Date | 2020-07-15 |
* » Abstract |
Lidar-derived elevation data for the 2019 Oregon Lidar Consortium (OLC) West Metro 3DEP project area. The project area (PA) encompasses 486,551 acres. Data are within Multnomah County, Oregon. The nominal pulse density is eight pulses per square meter. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set. The hydro-flattened bare earth (BE) digital elevation model (DEM) raster grid cell size is 1 meter. The native projection is Albers Equal Area Conic, units are in meters. 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). Quantum Spatial Inc. collected the lidar and created this dataset in partnership with the Oregon Department of Geology and Mineral Industries (DOGAMI). Data were subsequently reprocessed to Entwine Point Tile (EPT) format in web mercator projection with vertical meters. The EPT form of the data is used by the NOAA Digital Coast Data Access Viewer, which this metadata record is supporting. Additional processing steps may have been done by the Data Access Viewer and will be recorded in the lineage section. |
* 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: Quantum Spatial, Inc. All ground survey data, Lidar data acquisition, calibration, and follow-on processing were completed by the prime contractor, Quantum Spatial, Inc. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "Exhibit A of Amendment 7 to Price Agreement 7525", "ldrsens" : "Riegl 1560i", "ldrmaxnr" : "unlimited", "ldrnps" : "0.29 m", "ldrdens" : "12 PPSM", "ldranps" : "0.29 m", "ldradens" : "12 PPSM", "ldrfltht" : "1200 m", "ldrfltsp" : "105 kts", "ldrscana" : "58.5 degrees", "ldrscanr" : "344", "ldrpulsr" : "2000 kHz", "ldrpulsd" : "3 ns", "ldrpulsw" : "0.25 m", "ldrwavel" : "1064 nm", "ldrmpia" : "1", "ldrbmdiv" : "0.25 mrad", "ldrswatw" : "1348 m", "ldrswato" : "60%", "ldrgeoid" : "Geoid 12B" }, "ldraccur" : {
"ldrchacc" : "0.24", "rawnva" : "0.077 m", "rawnvan" : "73" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Not applicable", "lasolap" : "Not applicable", "lasintr" : "16", "lasclass" : {
"clascode" : "1", "clasitem" : "Processed, but Unclassified" }, "lasclass" : {
"clascode" : "2", "clasitem" : "Bare-Earth Ground" }, "lasclass" : {
"clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : {
"clascode" : "9", "clasitem" : "In-land Water" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High Noise" }, "lasclass" : {
"clascode" : "20", "clasitem" : "Ignored Grounds Near Breakline" } }} |
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 > OCEANS > COASTAL PROCESSES > COASTAL 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 | 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 | USGS, Oregon Lidar Consortium, Quantum Spatial, Inc. |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2024 |
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 | 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 | Metadata Contact |
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* » Date Effective From | 2024 |
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 | 2024 |
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 |
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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 | -123.31 |
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* » E° Bound | -122.45 |
* » N° Bound | 45.7 |
* » S° Bound | 45.238 |
* » 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 | 2019-05-08 |
End | 2019-08-31 |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Spatial Information
Spatial Resolution
Angular Distance | |
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Angular Distance Units | |
Horizontal Distance | 0.35 |
Horizontal Distance Units | Meter |
Vertical Distance | |
Vertical Distance Units | |
Equivalent Scale Denominator | |
Level of Detail Description |
Spatial Representation
Grid Representation Used? | No |
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Vector Representation Used? | Yes |
Text / Table Representation Used? | No |
TIN Representation Used? | No |
Stereo Model Representation Used? | No |
Video Representation Used? | No |
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Point Object Present? | Yes |
Point Object Count | 32359310582 |
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Reference Systems
Reference System
EPSG Code | EPSG:3857 | ||||||||||||||||||||||||||||
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EPSG Code | EPSG:5703 | ||||||||||||||||||||||||||||
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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 |
Data is available online for bulk or 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 | 2024-01-31 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10044/details/10044 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2024 - Present) |
File Name | Customized Download |
Description |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. |
File Date/Time | |
File Type (Deprecated) | |
Distribution Format | Not Applicable |
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Compression | Zip |
Review Status |
Start Date | 2024-01-31 |
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End Date | Present |
» Download URL | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_OLCMetro_2019/ept.json |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2024 - Present) |
File Name | Entwine Point Tile (USGS) |
Description |
JSON file describing an entwine point tiles repository of the dataset. |
File Date/Time | |
File Type (Deprecated) | |
Distribution Format | LAS/LAZ - LASer |
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Compression | LAZ |
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URLs
URL | https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_OLCMetro_2019%22 |
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Name | 3D data browser |
URL Type | Online Resource |
File Resource Format | Browser app |
Description |
Online 3D browser allowing viewing and interrogation of the point cloud. |
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://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/OR_OLCMetro_2019_A19/OR_OLCMetro_2019/ |
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Name | Bulk Download |
URL Type | Online Resource |
File Resource Format | LAZ |
Description |
USGS rockyweb link to original LAZ files. |
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Issues
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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 |
Contractor Provided: The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm 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). The Raw Swath NVA was tested with 73 checkpoints located in bare earth and urban (non-vegetated) areas. These checkpoints were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been 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.
The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 73 independent checkpoints located in Bare Earth and Urban land cover classes. Tested 0.081 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). USGS Determined Lidar Point Cloud: NVA RMSEz (cm) = 3.73 NVA at 95% confidence level (cm) = 7.31 VVA at 95th percentile (cm) = 18.43 |
Quantitation Limits | |
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Field Precision | |
Sensitivity | |
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 entire 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 |
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Sources
Citation Title | Entwine Point Tiles |
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Contact Role Type | Publisher |
Contact Type | Organization |
Contact Name | USGS |
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Scale Denominator | |
Citation URL | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_OLCMetro_2019/ept.json |
Citation URL Name | Entwine Point Tiles JSON |
Citation URL Description | |
Source Contribution |
Data referenced by the Digital Coast Data Access Viewer. |
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Process Steps
Process Step Number | 1 |
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» Description |
Lidar data acquisition occurred between May 8, 2019 and August 31, 2019. The survey utilized the Riegl 1560i laser systems mounted in a Cessna Caravan. 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 | 2019-12-10 00:00:00 |
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Source |
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. Proprietary software was used to thin this dataset from a pulse density of approximately 60 ppsm to the target 8 ppsm. The software randomly selects pulses to remove, including all returns associated, and keeps a user specified percentage of pulses to obtain desired point density. 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 | 2019-12-10 00:00:00 |
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Process Step Number | 3 |
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» Description |
Hydro-Flattened Raster DEM Processing: Class 2 (Ground) LiDAR points in conjunction with the hydro-breaklines were used to create a 1-meter hydro-flattened raster DEM. Using automated scripting routines within LasTools, an 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 | 2019-12-10 00:00:00 |
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Source |
Process Step Number | 4 |
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» Description |
Data were converted to Entwine Point Tiles (EPT) in Web Mercator projection and units of meters by USGS. NOAA is leveraging the EPT files for use in the Digital Coast Data Access Viewer and created this metadata to support that usage. |
Process Date/Time | 2024-01-31 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Source | Entwine Point Tiles |
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Acquisition Information
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Catalog Details
Catalog Item ID | 71982 |
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Metadata Record Created By | Blake Waring |
Metadata Record Created | 2024-01-31 14:05+0000 |
Metadata Record Last Modified By | Blake Waring |
» Metadata Record Last Modified | 2024-01-31 15:12+0000 |
Metadata Record Published | 2024-01-31 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2024-01-31 |
Metadata Review Frequency | 3 Years |
Metadata Next Review Date | 2027-01-31 |
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