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  Hierarchy_Level: 
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  Hierarchy_Level: 
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  Metadata_Author: 
    Responsible_Party: 
      Individual_Name: 
        Carrie V. Kappel
      Organisation_Name: 
        National Center for Ecological Analysis and Synthesis (NCEAS)
      Contact_Information: 
        Contact: 
          Address: 
            Address: 
              Electronic_Mail_Address: 
                kappel@nceas.ucsb.edu
          Online_Resource: 
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  Date_Stamp: 
    Date: 
      2024-10-09
  Metadata_Standard_Name: 
    ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for 
    imagery and gridded data
  Metadata_Standard_Version: 
    ISO 19115-2:2009(E)
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  Identification_Information: 
    Data_Identification: 
      Citation: 
        Citation: 
          Title: 
            Sea Surface Temperature (SST) Long-term Mean, 2000-2013 - Hawaii
          Date: 
            Date: 
              Date: 
                Date: 
                  2017-03-14
              Date_Type: 
                Date_Type_Code: 
                  creation
          Date: 
            Date: 
              Date: 
                Date: 
                  2017-03-14
              Date_Type: 
                Date_Type_Code: 
                  issued
          Date: 
            Date: 
              Date: 
                Date: 
                  2017-03-14
              Date_Type: 
                Date_Type_Code: 
                  revision
          Identifier: 
            Identifier: 
              Authority: 
                Citation: 
                  Title: 
                    org.pacioos
                  Date: 
              Code: 
                hi_otp_all_sst_avg
          Cited_Responsible_Party: 
            Responsible_Party: 
              Individual_Name: 
                Carrie V. Kappel
              Organisation_Name: 
                National Center for Ecological Analysis and Synthesis (NCEAS)
              Contact_Information: 
                Contact: 
                  Address: 
                    Address: 
                      Electronic_Mail_Address: 
                        kappel@nceas.ucsb.edu
                  Online_Resource: 
                    Online_Resource: 
                      Linkage: 
                        URL: 
                          http://oceantippingpoints.org/about-us/people#Carrie
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                        http
                      Application_Profile: 
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                      Name: 
                      Description: 
                      Function: 
                        OnLine_Function_Code: 
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              Role: 
                Role_Code: 
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          Cited_Responsible_Party: 
            Responsible_Party: 
              Individual_Name: 
                Kimberly A. Selkoe
              Organisation_Name: 
                National Center for Ecological Analysis and Synthesis (NCEAS)
              Contact_Information: 
                Contact: 
                  Address: 
                    Address: 
                      Electronic_Mail_Address: 
                        selkoe@nceas.ucsb.edu
                  Online_Resource: 
                    Online_Resource: 
                      Linkage: 
                        URL: 
                          http://oceantippingpoints.org/about-us/people#Kim
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          Cited_Responsible_Party: 
            Responsible_Party: 
              Organisation_Name: 
                Ocean Tipping Points (OTP)
              Contact_Information: 
                Contact: 
                  Address: 
                    Address: 
                      Electronic_Mail_Address: 
                        info@oceantippingpoints.org
                  Online_Resource: 
                    Online_Resource: 
                      Linkage: 
                        URL: 
                          http://oceantippingpoints.org
                      Protocol: 
                        http
                      Application_Profile: 
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          Cited_Responsible_Party: 
            Responsible_Party: 
              Organisation_Name: 
                Pacific Islands Ocean Observing System (PacIOOS)
              Contact_Information: 
                Contact: 
                  Address: 
                    Address: 
                      Electronic_Mail_Address: 
                        info@pacioos.org
                  Online_Resource: 
                    Online_Resource: 
                      Linkage: 
                        URL: 
                          http://pacioos.org
                      Protocol: 
                        http
                      Application_Profile: 
                        web browser
                      Name: 
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                      Function: 
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          Other_Citation_Details: 
            Related publications: Wedding LM, Lecky J, Gove JM, Walecka HR, 
            Donovan MK, et al. (2018) Advancing the integration of spatial 
            data to map human and natural drivers on coral reefs. PLOS ONE 
            13(3): e0189792. https://doi.org/10.1371/journal.pone.0189792; 
            Heron SF, Willis BL, Skirving WJ, Eakin CM, Page CA, et al. (2010) 
            Summer hot snaps and winter conditions: modelling white syndrome 
            outbreaks on Great Barrier Reef corals. PLOS ONE 5(8): e12210. 
            https://doi.org/10.1371/journal.pone.0012210.
      Abstract: 
        Sea surface temperature (SST) plays an important role in a number of 
        ecological processes and can vary over a wide range of time scales, 
        from daily to decadal changes. SST influences primary production, 
        species migration patterns, and coral health. If temperatures are 
        anomalously warm for extended periods of time, drastic changes in the 
        surrounding ecosystem can result, including harmful effects such as 
        coral bleaching. This layer represents the mean SST (degrees Celsius) 
        of the weekly time series from 2000-2013.
        
        Three SST datasets were combined to provide continuous coverage from 
        1985-2013. The concatenation applies bias adjustment derived from 
        linear regression to the overlap periods of datasets, with the final 
        representation matching the 0.05-degree (~5-km) near real-time SST 
        product. First, a weekly composite, gap-filled SST dataset from the 
        NOAA Pathfinder v5.2 SST 1/24-degree (~4-km), daily dataset (a NOAA 
        Climate Data Record) for each location was produced following Heron et 
        al. (2010) for January 1985 to December 2012. Next, weekly composite 
        SST data from the NOAA/NESDIS/STAR Blended SST 0.1-degree (~11-km), 
        daily dataset was produced for February 2009 to October 2013. Finally, 
        a weekly composite SST dataset from the NOAA/NESDIS/STAR Blended SST 
        0.05-degree (~5-km), daily dataset was produced for March 2012 to 
        December 2013.
        
        The SST long-term mean was calculated by taking the average of all 
        weekly data from 2000-2013 for each pixel.
      Purpose: 
        This layer was developed as part of a geospatial database of key 
        anthropogenic pressures to coastal waters of the Main Hawaiian Islands 
        for the Ocean Tipping Points (OTP) project 
        (http://oceantippingpoints.org). Ocean tipping points occur when 
        shifts in human use or environmental conditions result in large, and 
        sometimes abrupt, impacts to marine ecosystems. The ability to predict 
        and understand ocean tipping points can enhance ecosystem management, 
        including critical coral reef management and policies to protect 
        ecosystem services produced by coral reefs. The goal of the Ocean 
        Tipping Points Hawaii case study was to gather, process, and map 
        spatial information on environmental and human-based drivers of coral 
        reef ecosystem conditions.
      Credit: 
        The Ocean Tipping Points project, 2016. Please acknowledge the Ocean 
        Tipping Points project as a source when these data are used in the 
        preparation of reports, papers, publications, maps, and other 
        products. When applying these data for publication, please reference 
        and cite the following journal article: Wedding LM, Lecky J, Gove JM, 
        Walecka HR, Donovan MK, et al. (2018) Advancing the integration of 
        spatial data to map human and natural drivers on coral reefs. PLOS ONE 
        13(3): e0189792. https://doi.org/10.1371/journal.pone.0189792.
      Point_Of_Contact: 
        Responsible_Party: 
          Individual_Name: 
            Carrie V. Kappel
          Organisation_Name: 
            National Center for Ecological Analysis and Synthesis (NCEAS)
          Contact_Information: 
            Contact: 
              Address: 
                Address: 
                  Electronic_Mail_Address: 
                    kappel@nceas.ucsb.edu
              Online_Resource: 
                Online_Resource: 
                  Linkage: 
                    URL: 
                      http://oceantippingpoints.org/about-us/people#Carrie
                  Protocol: 
                    http
                  Application_Profile: 
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                  Function: 
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      Graphic_Overview: 
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          File_Name: 
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          File_Description: 
            Sample image.
      Descriptive_Keywords: 
        Keywords: 
          Keyword: 
            Earth Science > Biosphere > Aquatic Ecosystems > Reef Habitat
          Keyword: 
            Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Reef 
            > Coral Reef
          Keyword: 
            Earth Science > Human Dimensions > Human Settlements > Coastal Areas
          Keyword: 
            Earth Science > Oceans > Coastal Processes > Coral Reefs
          Keyword: 
            Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature
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              Date: 
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        Keywords: 
          Keyword: 
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          Keyword: 
            Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands
          Type: 
            Keyword_Type_Code: 
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          Thesaurus_Name: 
            Citation: 
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              Date: 
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          Keyword: 
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          Type: 
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          Type: 
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          Thesaurus_Name: 
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              Date: 
      Resource_Constraints: 
        Legal_Constraints: 
          Use_Limitation: 
            Please contact the Ocean Tipping Points (OTP) project in advance 
            of applying these data to project work so that the principal 
            investigator, Carrie Kappel (kappel@nceas.ucsb.edu), can track and 
            communicate data uses and ensure no duplicate efforts are 
            underway. The data may be used and redistributed for free but is 
            not intended for legal use, since it may contain inaccuracies. 
            Neither the data Contributor, University of Hawaii, PacIOOS, NOAA, 
            State of Hawaii nor the United States Government, nor any of their 
            employees or contractors, makes any warranty, express or implied, 
            including warranties of merchantability and fitness for a 
            particular purpose, or assumes any legal liability for the 
            accuracy, completeness, or usefulness, of this information.
      Aggregation_Information: 
        Aggregate_Information: 
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            Citation: 
              Title: 
                Pacific Islands Ocean Observing System (PacIOOS)
              Date: 
          Association_Type: 
            Association_Type_Code: 
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          Initiative_Type: 
            Initiative_Type_Code: 
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      Language: 
        eng
      Topic_Category: 
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      Citation: 
        Citation: 
          Title: 
            Sea Surface Temperature (SST) Long-term Mean, 2000-2013 - Hawaii
          Date: 
            Date: 
              Date: 
                Date: 
                  2017-03-14
              Date_Type: 
                Date_Type_Code: 
                  creation
          Date: 
            Date: 
              Date: 
                Date: 
                  2017-03-14
              Date_Type: 
                Date_Type_Code: 
                  issued
          Date: 
            Date: 
              Date: 
                Date: 
                  2017-03-14
              Date_Type: 
                Date_Type_Code: 
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            Responsible_Party: 
              Individual_Name: 
                Carrie V. Kappel
              Organisation_Name: 
                National Center for Ecological Analysis and Synthesis (NCEAS)
              Contact_Information: 
                Contact: 
                  Address: 
                    Address: 
                      Electronic_Mail_Address: 
                        kappel@nceas.ucsb.edu
                  Online_Resource: 
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                        URL: 
                          http://oceantippingpoints.org/about-us/people#Carrie
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                    Address: 
                      Electronic_Mail_Address: 
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      Abstract: 
        Sea surface temperature (SST) plays an important role in a number of 
        ecological processes and can vary over a wide range of time scales, 
        from daily to decadal changes. SST influences primary production, 
        species migration patterns, and coral health. If temperatures are 
        anomalously warm for extended periods of time, drastic changes in the 
        surrounding ecosystem can result, including harmful effects such as 
        coral bleaching. This layer represents the mean SST (degrees Celsius) 
        of the weekly time series from 2000-2013.
        
        Three SST datasets were combined to provide continuous coverage from 
        1985-2013. The concatenation applies bias adjustment derived from 
        linear regression to the overlap periods of datasets, with the final 
        representation matching the 0.05-degree (~5-km) near real-time SST 
        product. First, a weekly composite, gap-filled SST dataset from the 
        NOAA Pathfinder v5.2 SST 1/24-degree (~4-km), daily dataset (a NOAA 
        Climate Data Record) for each location was produced following Heron et 
        al. (2010) for January 1985 to December 2012. Next, weekly composite 
        SST data from the NOAA/NESDIS/STAR Blended SST 0.1-degree (~11-km), 
        daily dataset was produced for February 2009 to October 2013. Finally, 
        a weekly composite SST dataset from the NOAA/NESDIS/STAR Blended SST 
        0.05-degree (~5-km), daily dataset was produced for March 2012 to 
        December 2013.
        
        The SST long-term mean was calculated by taking the average of all 
        weekly data from 2000-2013 for each pixel.
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      Citation: 
        Citation: 
          Title: 
            Sea Surface Temperature (SST) Long-term Mean, 2000-2013 - Hawaii
          Date: 
            Date: 
              Date: 
                Date: 
                  2017-03-14
              Date_Type: 
                Date_Type_Code: 
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          Date: 
            Date: 
              Date: 
                Date: 
                  2017-03-14
              Date_Type: 
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              Date: 
                Date: 
                  2017-03-14
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                Carrie V. Kappel
              Organisation_Name: 
                National Center for Ecological Analysis and Synthesis (NCEAS)
              Contact_Information: 
                Contact: 
                  Address: 
                    Address: 
                      Electronic_Mail_Address: 
                        kappel@nceas.ucsb.edu
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                  Address: 
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                      Electronic_Mail_Address: 
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      Abstract: 
        Sea surface temperature (SST) plays an important role in a number of 
        ecological processes and can vary over a wide range of time scales, 
        from daily to decadal changes. SST influences primary production, 
        species migration patterns, and coral health. If temperatures are 
        anomalously warm for extended periods of time, drastic changes in the 
        surrounding ecosystem can result, including harmful effects such as 
        coral bleaching. This layer represents the mean SST (degrees Celsius) 
        of the weekly time series from 2000-2013.
        
        Three SST datasets were combined to provide continuous coverage from 
        1985-2013. The concatenation applies bias adjustment derived from 
        linear regression to the overlap periods of datasets, with the final 
        representation matching the 0.05-degree (~5-km) near real-time SST 
        product. First, a weekly composite, gap-filled SST dataset from the 
        NOAA Pathfinder v5.2 SST 1/24-degree (~4-km), daily dataset (a NOAA 
        Climate Data Record) for each location was produced following Heron et 
        al. (2010) for January 1985 to December 2012. Next, weekly composite 
        SST data from the NOAA/NESDIS/STAR Blended SST 0.1-degree (~11-km), 
        daily dataset was produced for February 2009 to October 2013. Finally, 
        a weekly composite SST dataset from the NOAA/NESDIS/STAR Blended SST 
        0.05-degree (~5-km), daily dataset was produced for March 2012 to 
        December 2013.
        
        The SST long-term mean was calculated by taking the average of all 
        weekly data from 2000-2013 for each pixel.
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              North_Bound_Latitude: 
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  Metadata_Maintenance: 
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      Maintenance_And_Update_Frequency: 
      Maintenance_Note: 
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