Identification of Data 

 Management Support 



_^^^^__ Long Island Sound Data Characterization: Oxygen ^ 

 Depletion in Western Long Island Sound 



1. LIS Document Reference Number: 



2. Organization Contacted: 



3. Principal Investigator: 



4. Contact: 



5. Telephone Number: 



6. Address of Contact: 



7. Citation: 



a) Author(s) 



b) Year 



c) Title 



d) Journal/Rept. 



e) Volume: Number . 



f} Pages 



8. Sample, Survey Type: 



a) Station(s) 



b) Synoptic Survey 



c) Vertical Resolution 



9. Measurement: 



a) Dissolved Oxygen 



b) % Oxygen Saturation 



c) Temperature 



d) Salinity 



e) Phytoplankton Pigments 



f) Phytoplankton Counts 



g) Inorganic Nutrients (Ammonium, 

 Nitrate, Phosphate, Silicate} 



h) Organic Nutrients (DOC. TOC, DON 



TON. DOP, TOP) 

 i) BOD, COD 

 j) Biological Rates (Primary 



Productivity, Water Respiration, 



Sediment Respiration, etc.) 



10. Data, Study Area: 



11. Time Span of Data: 



12. Status of Data: 



a) Ran 



b) Reprint 



c) Computerized 



d) Database Name 



e) Data Products 



13. Comments: 



Figure 3.2 Example of a form used to identify priority data sets for 

 use in estuary characterization. 



While key data sets are being identified, collected, and reviewed, 

 each estuary program should find a data management system that 

 can store large amounts of historical and future information related 

 to the estuary's conditions. EPA's Ocean Data Evaluation System 

 (ODES), for example, may be used for storing and analyzing 

 marine environmental monitoring data. A data management sys- 

 tem must support two primary functions. First, it enhances the 

 characterization process by providing extensive data storage and 

 analytical capabilities. It is thus a free-standing data base access- 

 ible to the scientific community conducting characterization 

 studies. Second, it serves as a long-term archive that can be 

 continuously updated. The data base will be expanded with infor- 

 mation from sampling and monitoring efforts to determine whether 

 the abatement and control programs improve water quality and 

 living resources. 



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