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Dataset Title:  Weekly survey of fish sold by the roadside in Moorea, French Polynesia in 2014
and 2015 (Coral reef fishery project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_709963)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 location_caught (unitless) ?          "Afareaitu"    "secret_spot"
 location_sold (unitless) ?          "Afareaitu"    "Teavaro"
 genus (unitless) ?          "Acan_Cten"    "Tylosurus"
 species (unitless) ?          "blochii"    "vlamingii"
 survey_event (unitless) ?          1000    1218
 date (unitless) ?          "2014/06/15"    "2015/11/22"
 length (centimeters) ?          4.4E-4    0.01262
 habitat_caught (unitless) ?          "Lagoon"    "reef"
 gear_1 (unitless) ?          "NaN"    "trolling"
 gear_2 (unitless) ?          "NaN"    "trolling"
 gear_3 (unitless) ?          "NaN"    "speargun"
 boat_type (unitless) ?          "NaN"    "vaa"
 motor (unitless) ?          "N"    "poti marara"
 crew (unitless) ?          0.0    7.0
 departure_time (unitless) ?          "02:00- 04:00"    "NaN"
 hours_fishing (hours) ?          "0:00"    "NaN"
 is_seller_the_fisher (unitless) ?          "M"    "Y"
 gender (unitless) ?          "1989"    "M"
 average_fishing_days_per_week (days) ?          "0.5"    "when feels like it"
 
Server-side Functions ?
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File type: (more info)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  location_caught {
    String bcodmo_name "region";
    String description "The location of the seller reports the fish were caught";
    String long_name "Location Caught";
    String units "unitless";
  }
  location_sold {
    String bcodmo_name "region";
    String description "The location of the seller (Community within the island of Morea)";
    String long_name "Location Sold";
    String units "unitless";
  }
  genus {
    String bcodmo_name "genus";
    String description "Genus of fish observed; Some fish were identified only to family. In such cases the family name was entered in the genus column with the suffix _fam. So Carangidae_fam indicates the fish was in the family Carangidae but the genus could not be identified from the photo. Some fish could only be identified as one of two or more genera. In these cases the following codes were used: Acan_Cten = either Acanthurus or Ctenochaetus; Calo_Scar = either Calotomus or Scarus; Chlor_Scar = either Chlorurus or Scarus";
    String long_name "Genus";
    String units "unitless";
  }
  species {
    String bcodmo_name "species";
    String description "Species of fish observed (or \"unidentified if species unknown\")";
    String long_name "Species";
    String units "unitless";
  }
  survey_event {
    Int16 _FillValue 32767;
    Int16 actual_range 1000, 1218;
    String bcodmo_name "event code";
    String description "Serial number identifying the survey event (a rack of fish being photographed on a particular day";
    String long_name "Survey Event";
    String units "unitless";
  }
  date {
    String bcodmo_name "date";
    String description "Date of sampling event; YYYY/MM/DD";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  length {
    Float32 _FillValue NaN;
    Float32 actual_range 4.4e-4, 0.01262;
    String bcodmo_name "length";
    String description "Length of fish (nose to tail) in cm. Blank cells indicate that length could not be obtained (typically because the fish was obscured)";
    String long_name "Length";
    String units "centimeters";
  }
  habitat_caught {
    String bcodmo_name "site_descrip";
    String description "The primary habitat in which the seller reports the fish were caught";
    String long_name "Habitat Caught";
    String units "unitless";
  }
  gear_1 {
    String bcodmo_name "sampling_method";
    String description "Primary gear used in fishing";
    String long_name "Gear 1";
    String units "unitless";
  }
  gear_2 {
    String bcodmo_name "sampling_method";
    String description "Additional gear used (if any)";
    String long_name "Gear 2";
    String units "unitless";
  }
  gear_3 {
    String bcodmo_name "sampling_method";
    String description "Additional gear used (if any)";
    String long_name "Gear 3";
    String units "unitless";
  }
  boat_type {
    String bcodmo_name "brief_desc";
    String description "Boat type";
    String long_name "Boat Type";
    String units "unitless";
  }
  motor {
    String bcodmo_name "unknown";
    String description "Does the boat have a motor? (Y/N)";
    String long_name "Motor";
    String units "unitless";
  }
  crew {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 7.0;
    String bcodmo_name "unknown";
    String description "Number of crew on the fishing trip";
    String long_name "Crew";
    String units "unitless";
  }
  departure_time {
    String bcodmo_name "time";
    String description "Time fishing started; HH:MM";
    String long_name "Departure Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  hours_fishing {
    String bcodmo_name "duration";
    String description "Duration of fishing";
    String long_name "Hours Fishing";
    String units "hours";
  }
  is_seller_the_fisher {
    String bcodmo_name "unknown";
    String description "Identifies whether the person being interviewed caught the fish (Y/N)";
    String long_name "Is Seller The Fisher";
    String units "unitless";
  }
  gender {
    String bcodmo_name "unknown";
    String description "Gender of seller";
    String long_name "Gender";
    String units "unitless";
  }
  average_fishing_days_per_week {
    String bcodmo_name "days";
    String description "Days the seller reports fishing per week on average";
    String long_name "Average Fishing Days Per Week";
    String units "days";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Each Sunday morning from June 2014 through November 2015, an observer surveyed
fish being sold along the roadside on the island of Moorea.\\u00a0 On each
survey date, the observer drove along the ring road which circles the islands
along the shoreline, stopping to interview anyone selling fish by the
road.\\u00a0 With the permission of the seller, the observer photographed the
fish for sale, which were typically presented on strings hanging from large
racks. The observer also asked a series of questions to the seller about how
the fish were caught.
 
Participation in this survey was voluntary, and so the catch reported here
does not represent a complete sample of fish being sold by the roadside. A
single observer performed all surveys, so a few Sundays in this period were
not sampled because of logistical constraints
 
Fish in each photograph were identified to the highest taxonomic resolution
possible, often to species but usually at least genus. The size of each fish
was estimated by drawing a line from nose to tail and then comparing the
length of that line to the length of a 0.5 m sizing bar that was included in
each photograph. Image analyses were performed in the computer program
\\u201cimageJ\\u201d (Rasband, NIH) and species identities and sizes have been
merged together with the survey responses of the fish sellers in the data set
provided.";
    String awards_0_award_nid "568845";
    String awards_0_award_number "OCE-1325652";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1325652";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Michael E. Sieracki";
    String awards_0_program_manager_nid "50446";
    String awards_1_award_nid "568852";
    String awards_1_award_number "OCE-1325554";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1325554";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Michael E. Sieracki";
    String awards_1_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"Roadside Surveys of Fish in Moorea, 2014-2015 
  S. Holbrook, A. Rassweiler, and M. Lauer, PIs 
  Version 5 August 2017";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2017-07-26T22:38:06Z";
    String date_modified "2019-03-20T19:07:02Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.709963.1";
    String history 
"2022-08-19T01:24:14Z (local files)
2022-08-19T01:24:14Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_709963.html";
    String infoUrl "https://www.bco-dmo.org/dataset/709963";
    String institution "BCO-DMO";
    String keywords "average, average_fishing_days_per_week, bco, bco-dmo, biological, boat, boat_type, caught, chemical, crew, data, dataset, date, days, departure, departure_time, dmo, erddap, event, fisher, fishing, gear, gear_1, gear_2, gear_3, gender, genus, habitat, habitat_caught, hours, hours_fishing, is_seller_the_fisher, length, location_caught, location_sold, management, motor, oceanography, office, per, preliminary, seller, sold, species, survey, survey_event, time, type, week";
    String license "https://www.bco-dmo.org/dataset/709963/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/709963";
    String param_mapping "{'709963': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/709963/parameters";
    String people_0_affiliation "University of California-Santa Barbara";
    String people_0_affiliation_acronym "UCSB";
    String people_0_person_name "Sally Holbrook";
    String people_0_person_nid "51537";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "San Diego State University";
    String people_1_affiliation_acronym "SDSU";
    String people_1_person_name "Dr Matthew Lauer";
    String people_1_person_nid "568854";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of California-Santa Barbara";
    String people_2_affiliation_acronym "UCSB";
    String people_2_person_name "Dr Andrew Rassweiler";
    String people_2_person_nid "568849";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "University of California-Santa Barbara";
    String people_3_affiliation_acronym "UCSB";
    String people_3_person_name "Dr Andrew Rassweiler";
    String people_3_person_nid "568849";
    String people_3_role "Contact";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Hannah Ake";
    String people_4_person_nid "650173";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "Coral reef fishery";
    String projects_0_acronym "Coral reef fishery";
    String projects_0_description 
"Description from NSF award abstract:
This project will assess resilience in a coral reef social-ecological system. Over the last several decades, reefs around the Pacific island of Mo'orea, French Polynesia, have consistently reassembled to coral dominance after being impacted by major perturbations. Resilience to disturbance is a key component of coastal sustainability, as it maintains the reefs in a state capable of providing critical ecosystem services. The resilience of reefs in Mo'orea is particularly striking, given that coral reefs in many regions have experienced abrupt and potentially irreversible shifts from a coral dominated state, with complex structure and a rich fish community, to a macroalgae dominated state with fewer fish. This project will contribute to more sustainable management of coral reefs by identifying pathways that confer resilience, highlighting emerging vulnerabilities, and suggesting policy initiatives in areas such as integrated coastal zone management and sustainable development planning. An integrative social and natural science approach will be employed that addresses place-based questions about resilience, sustainability and adaptive capacity of coastal systems. A framework will be developed for addressing more complex questions about the Moorea social-ecological system, and this will provide a model for the integration of ecology and social science in other coastal systems. Research results will be disseminated broadly through stakeholder workshops, and graduate students will be engaged in all aspects of the work.
While the dynamics of state shifts are fundamental to understanding the resilience and long-term sustainability of coral reef social-ecological systems, the interplay between anthropogenic and ecological feedbacks is poorly understood in these systems. Systems with high population densities, widespread coastal development and intense resource exploitation typically show declines in the critical adaptive capacities that underpin resilience to local environmental variability. However, Moorea has maintained its resilience despite rapid development. This project will explore how the complex feedbacks in the Mo'orea coral reef social-ecological system maintain its capacity to withstand large-scale ecological disturbances. The study will involve interdisciplinary collaboration between social and natural scientists. Anthropological fieldwork focusing on the human dimensions of coral reef use, traditional governance, and indigenous ecological knowledge, will document how local communities perceive, respond to, and manage changes in ecosystem state. Ecological models will describe the dynamics of coral, algal and fish communities, including the feedbacks that make these communities susceptible to abrupt shifts in ecosystem state. These components will be integrated in a systems modeling framework that includes feedbacks both within and between the human and natural communities, quantitatively modeling how humans change their behavior as a function of ecosystem state and how the ecosystem is affected in turn by human activities. A key objective is to bridge the gap between data collected by social scientists and the dynamic ecosystem models developed by ecologists, as this is crucial to understanding the resilience and long-term sustainability of coastal social-ecological systems worldwide.
This project is supported under NSF's Coastal SEES (Science, Engineering and Education for Sustainability) program.";
    String projects_0_end_date "2016-09";
    String projects_0_geolocation "Moorea, French Polynesia; 17S, 150W";
    String projects_0_name "Adaptive Capacity, Resilience, and Coral Reef State Shifts in Social-ecological Systems";
    String projects_0_project_nid "568846";
    String projects_0_project_website "http://lauer.sdsu.edu/sees/index.html";
    String projects_0_start_date "2013-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Weekly survey of fish sold by the roadside in Moorea, French Polynesia in 2014 and 2015 (Coral reef fishery project)";
    String title "Weekly survey of fish sold by the roadside in Moorea, French Polynesia in 2014 and 2015 (Coral reef fishery project)";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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