1. U.S. Integrated Ocean Observing System (IOOS ® ) IOOS ® Biological Observations Data Project A Multi-Agency Effort to Enable Access to Biological Observations data -A Demo Presentation- Dr. Hassan Moustahfid Project Lead U.S. IOOS Program

2. 2 US Integrated Ocean Observing System (IOOS) initiated project focused on data services for “biological data” Collaboration between many groups: NOAA. Fisheries, NOAA/NOS/ PMNM, USGS (OBIS-USA); NPS; University of Hawaii Pilot Project in Regional Association for Pacific Islands (PacIOOS) Provide biological data in common services to support customers (e.g. Fish Population Assessments) Introduction

3. IOOS ® Core Variables 1.Temperature 2.Salinity 3.Water level 4.Currents 5.Surface Waves 6.Surface Winds 7.Ocean color 8.Dissolved oxygen 9.pH 10.pCO 2 11.Heat flux 12.Bottom character 13.Pathogens list could be expanded based on identified needs... 14.Bathymetry 15.Ice distribution 16.Contaminants 17.Stream flow 18.Dissolved nutrients 19.Optical properties 20.Total suspended matter 21.Colored dissolved organic matter 22.Fish species 23.Fish abundance 24.Zooplankton species 25.Phytoplankton species 26.Zooplankton abundance 3

4. 4 Establish a) a community standard for the representation of marine biological observations (e.g. species presence/absence and abundance). b) a standard approach for exposing these observations via web services both of which would be based on a customer-based set of specific requirements. Objectives of IOOS BDP

5. 1. Infrastructure Provide scalable data integration technology and procedures that facilitate participation by many diverse data sources and regions and preserve the meaning and quality of the integrated data. 2. Extensibility Standards for Species Presence/Absence/Abundance observations must be extensible to other geographic regions and to other marine biological. 5 Requirements

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7. 7 Where we are? IOOS BDP Pilot project  Implementation of IOOS BDP in PacIOOS Region completed  Data integration from Three Agencies (NOAA. Fisheries, NOS/PMNM and NPS completed)  System was tested/evaluated by the end users “Customers”  Feedbacks received from Data providers/Data users  Refine/ improve is now a routine process for PacIOOS

8. 8 PacIOOS Region

9. 9 http://www.ioos.gov/ecosystem_observations/welcome.html

10. 10 http://pacioos-mapserver2.ancl.hawaii.edu/erddap/info/index.html

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13. Access ERDDAP service using Preferred user Applications (E.g. MatLab, ArcGIS, R, etc)

14. http://coastwatch.pfeg.noaa.gov/erddap/tabledap/erdCinpKfmFT.mat? longitude,latitude,station,Oxyjulis_californica_Adult http://coastwatch.pfeg.noaa.gov/erddap/griddap/erdPPbfp1mday.mat?productivity[(2007-12- 16T12:00:00Z):1:(2007-12-16T12:00:00Z)][(0.0):1:(0.0)][(31.8):1:(35.05)][(238.6):1:(242.6)] Matlab - The two URLS below were used to read the Fish species (Oxyjulis) data and productivity data from satellites directly into Matlab Courtesy :Roy Mendelssohn

15. Google Earth - Same URL with one change reads Oxyjulis data into Google Earth http://coastwatch.pfeg.noaa.gov/erddap/tabledap/erdCinpKfmFT.kml? longitude,latitude,station,Oxyjulis_californica_Adult

16. Google Earth - With both transect and satellite data

17. R - Erik Franklin from (University of Hawaii) used the same URLs to read both datasets directly into R and then into ArcGIS

18. R - Erik Franklin used the same technique to read some of the Hawaii transect data directly into R and then into ArcGIS. Courtesy Erik Franklin (UH/HIMB)

19. Eoin Howlett, Kelly Knee ASA Roy Mendelssohn, Cara Wilson NOAA/NMFS http://www.pfeg.noaa.gov/products/EDC/ or http://www.asascience.com/software/arcgistools/edc.shtml

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21. EDC THREDDS ERDDAP SOS Java App NetCDF XML ArcGIS Extension Rasters Features Time-varying – non- uniform time steps also

22. Environmental Data Access Courtesy: Kelly Knee and Roy Mendelssohn

23. IOOS Biological Data Project What Did We Solve? and How Did We Solve It? IOOS Biological Data Quantification Towed-Diver Survey General, Abstract More specific but still general (!?) Very specific What did we solve? 1.Biogeography 2.Web Service Access 3.Taxonomic Resolution 4.Spatial-temporal resolution 5.Data Documentation, Quality & Richness 6.Interoperability How did we solve it? 1.Technical Web Service Standards 2.Global Standards for Data and Metadata 3.Scientists’ Requirements 4.IOOS-Specific Requirements What did we solve? 1.Serve TDS Sampling Details How did we solve it? (same as above) What did we solve? 1.Serve TDS Sampling Details How did we solve it? (same as above) Credit to Philip Goldstein (OBIS-USA)

24. IOOS Biological Data Project What Did We Solve? (Agency View) Implemented Biological Standards Showed originators how to expose data Made data use easier and more reliable SourcesApps Credit to Philip Goldstein (OBIS)

25. What’s next? 25 Refine/improve data services at http://pacioos.org National Implementation of IOOS DMAC for Biological data services through the U.S. IOOS Regional Associations with collaboration with OBIS FY12 - Potential CalCOFI Data in CenCOOS and SCCOOS- priority region for IEA

26. Thank You Dr. Hassan Moustahfid Hassan. Moustahfid@noaa.gov 301/427-2447 ioos.gov