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Building a “ Global Plankton Database ” : Eight years after Hamburg 1996

Building a “ Global Plankton Database ” : Eight years after Hamburg 1996. Todd D. O’Brien NMFS - Office of Science & Technology. Hamburg 1996. Hamburg 1996. PLANKTON METADATA How was it caught? How was it processed? How was it identified?. Hamburg 1996. PLANKTON METADATA

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Building a “ Global Plankton Database ” : Eight years after Hamburg 1996

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  1. Building a“Global Plankton Database”:Eight years after Hamburg 1996 Todd D. O’Brien NMFS - Office of Science & Technology

  2. Hamburg 1996

  3. Hamburg 1996 • PLANKTON METADATA • How was it caught? • How was it processed? • How was it identified?

  4. Hamburg 1996 • PLANKTON METADATA • How was it caught? • How was it processed? • How was it identified?

  5. Hamburg 1996 • PLANKTON METADATA • How was it caught? • How was it processed? • How was it identified?

  6. Hamburg 1996 • PLANKTON METADATA • How was it caught? • How was it processed? • How was it identified? • How to use the data?

  7. L. Stathoplos & T. O’Brien 1998 1996 - 1998 World Ocean Database Plankton (1998)

  8. … then I tried to use it …

  9. WOD98 Plankton • Followed the 1996 Metadata Guidelines

  10. WOD98 Plankton • Followed the 1996 Metadata Guidelines • RAW Plankton Observation Data • No QC (except for ITIS verification) • No Common Units • No Grouping or Supplemental Indexing

  11. WOD98 Plankton • Followed the 1996 Metadata Guidelines • RAW Plankton Observation Data • No QC (except for ITIS verification) • No Common Units • No Grouping or Supplemental Indexing • Horrible Data Access

  12. T. O’Brien et al., 2002 1999 - 2001 World Ocean Database Plankton (2001)

  13. Problem: “No Common Units”Solution: The CBV

  14. Problem: “No Common Units”Solution: The CBV • Common Base-unit Value • calculated from sampling metadata

  15. Problem: “No Common Units”Solution: The CBV • Common Base-unit Value • calculated from sampling metadata • Based on Plankton Type • #/m3for zooplankton • #/mlfor phytoplankton • #/ulfor bacterioplankton

  16. Problem: “No Common Units”Solution: The CBV • Common Base-unit Value • calculated from sampling metadata • Based on Plankton Type • #/m3for zooplankton • #/mlfor phytoplankton • #/ulfor bacterioplankton • Stored in addition to original value

  17. Problem: ”No grouping or Indexing”Solution: The BGC

  18. Problem: ”No grouping or Indexing”Solution: The BGC • BiologicalGroupingCode • groups all taxa into major taxonomic groupings

  19. Problem: ”No grouping or Indexing”Solution: The BGC • BiologicalGroupingCode • groups all taxa into major taxonomic groupings • “phytoplankton” • “zooplankton” • “crustacea” • “copepods” • “calanoid copepods”

  20. Problem: ”No grouping or Indexing”Solution: The BGC • BiologicalGroupingCode • groups all taxa into major taxonomic groupings • “phytoplankton” • “zooplankton” • “crustacea” • “copepods” • “calanoid copepods” • Stored in addition to the ITIS TSN

  21. QUALITY CONTROL • Can now use BGC and CBV to do loose “Group-based range checking”:

  22. QUALITY CONTROL • Can now use BGC and CBV to do loose “Group-based range checking”: • Is it a reasonable “zooplankton” count • Is it a reasonable “copepod” count

  23. QUALITY CONTROL • Can now use BGC and CBV to do loose “Group-based range checking”: • Is it a reasonable “zooplankton” count • Is it a reasonable “copepod” count • Very loose.Not considering mesh/depth/time

  24. … then I tried to use it …(creating the WOA01 plankton fields)

  25. Using the Data - The Best QC?

  26. Using the Data - The Best QC? Found Processing Errors • Key-entry errors • Loading / translation errors

  27. Using the Data - The Best QC? Found Processing Errors • Key-entry errors • Loading / translation errors Found Database Issues • Corrupted data • Disappearing data

  28. Using the Data - The Best QC? Found Processing Errors • Key-entry errors • Loading / translation errors Found Database Issues • Corrupted data • Disappearing data Found Insufficient Coverage

  29. All “Plankton” Data WODP “plankton” data

  30. Qualified Biomass Data WOA01 zooplankton biomass

  31. Qualified Biomass Data • Towing Depth ( 0 – 200 m ) • Net mesh size ( ~ 300 um ) • Comparable Values ( CBV ) • ( Day vs. Night )

  32. What about Composition & Abundance Data?

  33. What about Composition & Abundance Data? A whole other talk … • Taxonomic Resolution • Life Stages • “Totals” and “Sub-totals” • “Zero Values”

  34. What about Composition & Abundance Data? A whole other talk … • Taxonomic Resolution • Life Stages • “Totals” and “Sub-totals” • “Zero Values” Data Translation & Layout are KEY.

  35. LESSONS LEARNED”If I could do it all over again …”

  36. Re-Building a“Global Plankton Database”:Applying Eight Years of Experience Todd D. O’Brien NMFS - Office of Science & Technology

  37. Remodeling the “WODP Model”

  38. Remodeling the “WODP Model” A New Database … • designed specifically for “plankton” • reprocessing every plankton data set

  39. Remodeling the “WODP Model” A New Database … • designed specifically for “plankton” • reprocessing every plankton data set … focused on Access … • Better interfaces and data formats • New data releasedmonthly

  40. Remodeling the “WODP Model” A New Database … • designed specifically for “plankton” • reprocessing every plankton data set … focused on Access … • Better interfaces and data formats • New data releasedmonthly ... and supporting the Investigators!

  41. Can they find the data they needand the data they collected ?

  42. Can they find the data they needand the data they collected ? • Do you have any of [ investigator]’s data ? • Do you have the [ project] data ? • What data do you have in the [ region] area ? • What species and coverage do you have for [ taxa] ? • What data has been added in the last [ X] months?

  43. ... introducing …C.O.P.E.P.O.D.

  44. www.st.nmfs.noaa.gov/plankton

  45. Better spatial & temporal coverage

  46. Better spatial & temporal coverage • New and improved quality control

  47. Better spatial & temporal coverage • New and improved quality control • Timely and friendly data access

  48. … coming soon …COPEPOD Atlas2005 • Paper Atlas • & CD-ROM • color PDF • new data • new fields

  49. … and that’s just the beginning …

  50. Hamburg 2012 ?

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