The GRIIDC site may be unavailable for maintenance today from 3:00 pm - 5:00 pm CDT.
The GRIIDC site may be unavailable for maintenance today from 3:00 pm - 5:00 pm CDT.
Full View Normal View

data

Shadowed Image Particle Profiling Evaluation Recorder (SIPPER) Plankton Abundance Data from Northern Gulf of Mexico, 2012

Baseline for Impact Assessment of Zooplankton and Imaging Oil Droplet Detection on the West Florida Shelf

DOI:
10.7266/N78P5XFP
 
UDI:
Y1.x030.000:0009
Last Update:
Jul 29 2016 18:59 UTC
 
Dataset Author(s):
Daly, Kendra
Point of Contact:
Daly, Kendra
University of South Florida / College of Marine Science
140 7th Ave South
St. Petersburg, FL  33701
USA
kdaly@mail.usf.edu
Funding Source:
Florida Institute of Oceanography (FIO)
Data Collection Period:
2012-04-01 to 2012-06-30

Identified Submitted Metadata Available
3 3 3 3

Abstract:

Phytoplankton, zooplankton, and larval fish abundance and distributions were collected from the Northern Gulf of Mexico using the SIPPER (Shadowed Image Particle Profiling Evaluation Recorder) camera imaging system on 2 cruises in Spring 2012. This dataset also includes water quality and chemistry data collected during cruises. This data was collected to assess changes in plankton distribution and abundance.

Purpose:

To assess the seasonal and interannual changes in zooplankton abundance and distribution after the Deepwater Horizon oil spill.

Theme Keywords:

zooplankton, phytoplankton, plankton, suspended particles, detritus, marine snow, larval fish, abundance, density, distribution, lower trophic food web

File Format:

excel

Shadowed Image Particle Profiling Evaluation Recorder (SIPPER) Plankton Abundance Data from Northern Gulf of Mexico, 2012



Identification Information
Distribution Information
Metadata Maintenance Information

Metadata: 
  File identifier: 
      Y1.x030.000-0009-metadata.xml
  Language: 
      eng; USA
  Character set: 
    Character set code: 
      utf8
  Hierarchy level: 
    Scope code: 
      dataset
  Metadata author: 
    Responsible party: 
      Individual name: 
          Kendra Daly
      Organisation name: 
          University of South Florida
      Position name: 
          Professor
      Contact info: 
        Contact: 
          Phone: 
            Telephone: 
              Voice: 
                  727-553-1041
              Facsimile: 
                  727-553-1189
          Address: 
            Address: 
              Delivery point: 
                  University of South Florida
                  College of Marine Science
                  140 7th Ave S
              City: 
                  St. Petersburg
              Administrative area: 
                  FL
              Postal code: 
                  33701
              Country: 
                  USA
              Electronic mail address: 
                  kdaly@mail.usf.edu
      Role: 
        Role code: 
          principalInvestigator
  Date stamp: 
      2015-11-18T16:03:38-06:00
  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)
  Dataset URI: 
      https://data.gulfresearchinitiative.org/metadata/Y1.x030.000:0009
Return To Index

Identification info: Data identification: Citation: Citation: Title: Shadowed Image Particle Profiling Evaluation Recorder (SIPPER) Plankton Abundance Data from Northern Gulf of Mexico, 2012 Alternate title: Date: Date: Date: 2015-10-15 Date type: Date type code: creation Abstract: Phytoplankton, zooplankton, and larval fish abundance and distributions were collected from the Northern Gulf of Mexico using the SIPPER (Shadowed Image Particle Profiling Evaluation Recorder) camera imaging system on 2 cruises in Spring 2012. This dataset also includes water quality and chemistry data collected during cruises. This data was collected to assess changes in plankton distribution and abundance. Purpose: To assess the seasonal and interannual changes in zooplankton abundance and distribution after the Deepwater Horizon oil spill. Status: Progress code: completed Point of contact: Responsible party: Individual name: Kendra Daly Organisation name: University of South Florida Position name: Professor Contact info: Contact: Phone: Telephone: Voice: 727-553-1041 Facsimile: 727-553-1189 Address: Address: Delivery point: University of South Florida College of Marine Science 140 7th Ave S City: St. Petersburg Administrative area: FL Postal code: 33701 Country: USA Electronic mail address: kdaly@mail.usf.edu Role: Role code: principalInvestigator Descriptive keywords: Keywords: Keyword: zooplankton Keyword: phytoplankton Keyword: plankton Keyword: suspended particles Keyword: detritus Keyword: marine snow Keyword: larval fish Keyword: abundance Keyword: density Keyword: distribution Keyword: lower trophic food web Type: Keyword type code: theme Descriptive keywords: Keywords: Keyword: Northeastern Gulf of Mexico Type: Keyword type code: place Language: eng;USA Topic category: Topic category code: biota Topic category: Topic category code: oceans Extent: Extent: Geographic element: Geographic bounding box: West bound longitude: -88.405267 East bound longitude: -85.80455 South bound latitude: 28.533133 North bound latitude: 30.5643 Geographic element: BoundingPolygon: Polygon: gml:MultiCurve: gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.628433 -87.672683 28.598167 -87.7161 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.832583 -86.114433 29.923167 -86.114767 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.760083 -86.346617 29.852017 -86.288833 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.5894 -86.56095 29.695283 -86.462133 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.451467 -86.770867 29.596217 -86.637583 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.114783 -87.244333 29.190797 -87.4265 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.667567 -87.97925 28.79255 -88.181417 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.8057 -88.319133 28.91345 -88.039583 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 30.065733 -85.80965 30.0484 -85.860317 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.8671 -86.1581 29.864917 -86.2145 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.749433 -86.378567 29.731233 -86.416917 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.544283 -86.61225 29.564583 -86.6366 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.37195 -86.802533 29.294067 -86.820033 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.91695 -87.061583 28.889717 -87.139483 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.8439 -87.339683 28.911783 -87.2666 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.664767 -87.878567 28.9071 -87.901633 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.002617 -87.875717 29.15795 -87.858933 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.693333 -86.35 29.62 -86.468333 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.616417 -86.805517 29.498333 -86.799167 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.998483 -85.905083 30.5643 -86.622967 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.7733 -86.257783 29.733167 -86.3484 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.713333 -87.9124 28.862617 -87.87775 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.893767 -85.80455 30.031183 -85.822967 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.811367 -86.32605 29.823017 -86.214767 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.7332 -86.337683 29.751017 -86.379883 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.5791 -86.570567 29.67085 -86.792017 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.6464 -86.599733 29.627333 -86.625233 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.51265 -86.75055 29.32195 -86.608333 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.095132 -87.268967 29.022867 -87.366483 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.275817 -87.69545 29.381067 -87.35945 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.567933 -87.553467 28.533133 -87.79715 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.979933 -87.860367 29.145233 -87.951117 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.78005 -88.405267 28.933717 -88.082917 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.890417 -87.293383 29.053817 -87.27465 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.21665 -87.632983 29.022117 -87.4138 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 29.11575 -87.8714 28.964067 -87.86755 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.584583 -87.558083 28.646933 -87.7227 gml:curveMember: gml:Curve: gml:segments: gml:LineStringSegment: gml:posList: 28.741283 -88.37955 28.634467 -88.134133 Temporal element: Temporal extent: Extent: Time period: Description: ground condition Begin date: 2012-04-01 End date: 2012-06-30 Supplemental Information: Date (local and GMT), time (local and GMT), Latitude (degrees minutes), Longitude (degrees minutes), station, depth of tow (m), volume filtered (m3), marine snow, phytoplankton, and zooplankton abundance of species and taxa (number/m3) (major taxa include: cladoceran, copepod, eumalacostracan, ostracod, echnioderm, mollusc, diatoms, polychaete, protist), temperature (degrees Celsius), salinity, density (kg/m3), fluorescence (mg/m3), fluorescence sensor (volts), oxygen (ml/L), oxygen (umol/kg), transmisivity (% light), turbidity (NTU), CDOM fluorescence ppb QSD |The SIPPER camera imaging system was developed by the University of South Florida, Center for Ocean Technology and described in Samson et al. (2001) and Remsen et al. (2004). The towed platform carried several environmental sensors (CTD, oxygen, chlorophyll fluorescence, transmissometer: see Supplemental Information- Instruments). SIPPER used a high speed Dalsa Piranha-2 line-scan camera and a pseudo-collimated LED generated light sheet to image the shadows and outlines of resolvable particles that passed through a 100 cm2 field of view. The operational optical resolution of the system is ~65 m. SIPPER was towed at speeds between 2-3 knots in an oblique profile through the water column, spending approximately equal amounts of time at each meter of depth between the surface and 300 m. At stations with a bottom depth shallower than 300 m, SIPPER was towed within approximately 5 m from the seafloor. Imaging and environmental data were stored internally on a Firewire hard drive and processed upon retrieval of the SIPPER instrument from a deployment using a customized software package called the Plankton Image Classification and Extraction Software (PICES). PICES was used to extract images of interest, classify them using user-specified training libraries and to manage the SIPPER images and environmental data collected. Currently, the PICES manages information for over 137 million SIPPER images. SIPPER and environmental data are reported by cruise in excel files. Each deployment is reported in a separate tab in cruise files. Every SIPPER deployment data sheet shows the same set of classes in order to evaluate the spatial and temporal variability of image classes. Zero abundances in any class means that no images were observed for those classes. The SIPPER data are from the downcast, unless otherwise noted. Environmental data are reported to the far right of the SIPPER abundance data in the excel spreadsheet.There are several types of images classes: (1) dual classifier classes, (2) rare or uncommon classes, and (3) other image classes resulting from the dual classification. Examples of images for these classes are available on http://www.marine.usf.edu/zooplankton/. (1) Dual Classifier Classes. The following training library classes were used in at least one of the final dual classifications. These 25 classes had numerous images in at least one or more deployments. These were the more common classes that made up about 90% of the images. (2) Rare or uncommon classes. The following classes were rare or uncommon classes used in the comprehensive MFS classifier run (Step 3). These classes were all manually validated. This process was done to identify and label true positive examples of rare and uncommon image classes before running the final dual classification, which only identified common classes. (3) Other Image Classes. There are several image classes that only result from running the dual classifier using a hierarchical naming schema. The image classes below are populated by images that result from a disagreement between the two classifiers in the dual classifier where the two guesses share part of the class name in common. These images are then classified to the level of agreement within the naming structure. An example might be when a classifier could not agree between crustacean_ostracod and crustacean_cladoceran_evadne. Both guesses share the 1st order root crustacean in common, so the dual classifier would classify such an image as crustacean. |SIPPER Environmental Sensors: Environmental data were collected simultaneously with the SIPPER imaging system during each deployment. Sensors included a Seabird 19Plus CTD, Seabird SBE43 oxygen sensor, and WET Labs FLNTURTD chlorophyll fluorescence and turbidity, and a transmissometer. AWET Labs CDOM sensor also was used on a few cruises. Sensors were calibrated at Seabird and WET Labs and then integrated into the SIPPER towed platform. |||
Return To Index

Distribution info: Distribution: Distributor: Distributor: Distributor contact: Responsible party: Organisation name: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) Contact info: Contact: Phone: Telephone: Voice: +1-361-825-3604 Facsimile: +1-361-825-2050 Address: Address: Delivery point: 6300 Ocean Drive Unit 5869 City: Corpus Christi Administrative area: Texas Postal code: 78412-5869 Country: USA Electronic mail address: griidc@gomri.org Online Resource: Online Resource: Linkage: URL: http://data.gulfresearchinitiative.org Protocol: Role: Role code: distributor Distributor format: Format: Name: excel Version: inapplicable File decompression technique: zip Distributor transfer options: Digital transfer options: Transfer size: 4 Online: Online Resource: Linkage: URL: http://data.gulfresearchinitiative.org/data/Y1.x030.000:0009 Protocol:
Return To Index

Metadata maintenance: Maintenance information: Maintenance and update frequency: unknown Maintenance note: This ISO metadata record was created using the 'Check and Save to File' (with form validation) function of the GRIIDC ISO 19115-2 Metadata Editor on 2015-10-15T19:10:16+00:00 Maintenance note: This ISO metadata record was created using the 'Save to File' (no form validation) function of the GRIIDC ISO 19115-2 Metadata Editor on 2015-10-15T19:15:27+00:00
Return To Index