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Dataset Title:  [Acanthaster movement distance and direction] - Movement distance and
direction data of tagged Acanthaster in Viti Levu, Fiji from 2010-2012. (Killer
Seaweeds: Allelopathy against Fijian Corals)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_706039)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  village {
    String bcodmo_name "site";
    String description "The village site where the data were collected on the Coral Coast of Viti Levu Fiji";
    String long_name "Village";
    String units "unitless";
  }
  border {
    String bcodmo_name "site_descrip";
    String description "The MPA border where individual sea stars were released and monitored.";
    String long_name "Border";
    String units "unitless";
  }
  acanthaster_origin {
    String bcodmo_name "unknown";
    String description "The location each sea star was collected from at each village site.";
    String long_name "Acanthaster Origin";
    String units "unitless";
  }
  acanthaster_ID {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 40;
    String bcodmo_name "sample";
    String description "The identification number for individual sea stars released at each MPA border";
    String long_name "Acanthaster ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  consecutive_days {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 5;
    String bcodmo_name "days";
    String description "The number of consecutive days an individual was successfully relocated.";
    String long_name "Consecutive Days";
    String units "days";
  }
  total_displacement {
    Float64 _FillValue NaN;
    Float64 actual_range 1.837913714, 213.2557222;
    String bcodmo_name "unknown";
    String description "An individuals total displacement (meters) between consecutive days that the individual was succesfully relocated.";
    String long_name "Total Displacement";
    String units "meters";
  }
  mean_displacement {
    Float64 _FillValue NaN;
    Float64 actual_range 0.918956857, 42.65114444;
    String bcodmo_name "unknown";
    String description "An individuals mean displacement (meters) between consecutive days that the individual was succesfully relocated.";
    String long_name "Mean Displacement";
    String units "meters";
  }
  initial_movement_angle {
    Float64 _FillValue NaN;
    Float64 actual_range 4.753716353, 356.2807002;
    String bcodmo_name "unknown";
    String description "The angular direction (degrees) of an individuals initial movement (from release to first relocation) relative to the MPA border where they were released.";
    String long_name "Initial Movement Angle";
    String units "degrees";
  }
  initial_movement_direction {
    String bcodmo_name "unknown";
    String description "The direction (i.e. into the MPA or fished area) of an individuals initial movement (from release to first relocation) relative to the MPA border where they were released.";
    String long_name "Initial Movement Direction";
    String units "unitless";
  }
  final_movement_angle {
    Float64 _FillValue NaN;
    Float64 actual_range 1.180383048, 356.8383578;
    String bcodmo_name "unknown";
    String description "The angular direction (degrees) of an individual's final movement (from release to final relocation) relative to the MPA border where they were released.";
    String long_name "Final Movement Angle";
    String units "degrees";
  }
  final_movement_direction {
    String bcodmo_name "unknown";
    String description "The direction (i.e. into the MPA or fished area) of an individuals final movement (from release to final relocation) relative to the MPA border where they were released.";
    String long_name "Final Movement Direction";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"To test whether\\u00a0Acanthaster\\u00a0selectively migrated into the MPAs
versus the fished areas, 120 adults of 36 \\u00b1 2 cm diameter (from the tips
of opposite arms) were collected from the MPAs and adjacent fished areas of
reefs flats near\\u00a0Votua, Vatu-o-lalai, and\\u00a0Namada\\u00a0villages, with
20 individuals collected from within and 20 from outside the MPAs at each
village site (40 individuals village-1\\u00a0site-1). Each individual was
tagged with five plastic tag fasteners between the base of
individual\\u00a0arms,\\u00a0and labeled flagging tape was attached to the end
of each tag fastener to aid in location and identification. Individuals were
then enclosed within cages located along the MPA border perpendicular to the
coastline at each site (20 individuals border-1\\u00a0location-1) for 48 h to
allow for tag acclimation. Upon release, individuals\\u2019\\u00a0movements were
monitored at 24 h intervals for four to eight days by physically locating each
individual and recording its location via GPS (Garmin GPS 76CSX). GPS
coordinates of individual\\u00a0Acanthaster\\u00a0positions were imported
into\\u00a0ArcMAP\\u00a0(Version 10.3.1), and the Geospatial Modeling
Environment extension (Version 0.7.4.0) was used to calculate
individuals\\u2019 initial and final directions of movement relative to their
release point along their respective MPA border, as well as each
individual\\u2019s net displacement between consecutive days.\\u00a0";
    String awards_0_award_nid "480718";
    String awards_0_award_number "OCE-0929119";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0929119";
    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 "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String awards_1_award_nid "674109";
    String awards_1_award_number "U01-TW007401";
    String awards_1_data_url "https://projectreporter.nih.gov/project_info_description.cfm?icde=0&aid=7741942";
    String awards_1_funder_name "National Institutes of Health";
    String awards_1_funding_acronym "NIH";
    String awards_1_funding_source_nid "636502";
    String awards_1_program_manager "Flora Katz";
    String awards_1_program_manager_nid "674108";
    String cdm_data_type "Other";
    String comment 
"Acanthaster Tagging 
  M. Hay and C. Clements, PIs 
  Version 23 Version 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 "2017-06-26T15:55:50Z";
    String date_modified "2019-03-27T18:17:11Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.706039.1";
    String history 
"2024-11-08T05:57:43Z (local files)
2024-11-08T05:57:43Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_706039.das";
    String infoUrl "https://www.bco-dmo.org/dataset/706039";
    String institution "BCO-DMO";
    String instruments_0_dataset_instrument_description "Used to monitor individuals' movements";
    String instruments_0_dataset_instrument_nid "706048";
    String instruments_0_description "Acquires satellite signals and tracks your location.";
    String instruments_0_instrument_name "GPS receiver";
    String instruments_0_instrument_nid "706037";
    String instruments_0_supplied_name "Garmin GPS 76CSX";
    String keywords "acanthaster, acanthaster_ID, acanthaster_origin, angle, bco, bco-dmo, biological, border, chemical, consecutive, consecutive_days, data, dataset, days, direction, displacement, dmo, erddap, final, final_movement_angle, final_movement_direction, initial, initial_movement_angle, initial_movement_direction, management, mean, mean_displacement, movement, oceanography, office, origin, preliminary, total, total_displacement, village";
    String license "https://www.bco-dmo.org/dataset/706039/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/706039";
    String param_mapping "{'706039': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/706039/parameters";
    String people_0_affiliation "Georgia Institute of Technology";
    String people_0_affiliation_acronym "Georgia Tech";
    String people_0_person_name "Mark Hay";
    String people_0_person_nid "480720";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Georgia Institute of Technology";
    String people_1_affiliation_acronym "Georgia Tech";
    String people_1_person_name "Cody Clements";
    String people_1_person_nid "705877";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Georgia Institute of Technology";
    String people_2_affiliation_acronym "Georgia Tech";
    String people_2_person_name "Mark Hay";
    String people_2_person_nid "480720";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Hannah Ake";
    String people_3_person_nid "650173";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Killer Seaweeds";
    String projects_0_acronym "Killer Seaweeds";
    String projects_0_description 
"Extracted from the NSF award abstract:
Coral reefs are in dramatic global decline, with reefs commonly converting from species-rich and topographically-complex communities dominated by corals to species- poor and topographically-simplified communities dominated by seaweeds. These phase-shifts result in fundamental loss of ecosystem function. Despite debate about whether coral-to-algal transitions are commonly a primary cause, or simply a consequence, of coral mortality, rigorous field investigation of seaweed-coral competition has received limited attention. There is limited information on how the outcome of seaweed-coral competition varies among species or the relative importance of different competitive mechanisms in facilitating seaweed dominance. In an effort to address this topic, the PI will conduct field experiments in the tropical South Pacific (Fiji) to determine the effects of seaweeds on corals when in direct contact, which seaweeds are most damaging to corals, the role allelopathic lipids that are transferred via contact in producing these effects, the identity and surface concentrations of these metabolites, and the dynamic nature of seaweed metabolite production and coral response following contact. The herbivorous fishes most responsible for controlling allelopathic seaweeds will be identified, the roles of seaweed metabolites in allelopathy vs herbivore deterrence will be studied, and the potential for better managing and conserving critical reef herbivores so as to slow or reverse conversion of coral reef to seaweed meadows will be examined.
Preliminary results indicate that seaweeds may commonly damage corals via lipid- soluble allelochemicals. Such chemically-mediated interactions could kill or damage adult corals and produce the suppression of coral fecundity and recruitment noted by previous investigators and could precipitate positive feedback mechanisms making reef recovery increasingly unlikely as seaweed abundance increases. Chemically-mediated seaweed-coral competition may play a critical role in the degradation of present-day coral reefs. Increasing information on which seaweeds are most aggressive to corals and which herbivores best limit these seaweeds may prove useful in better managing reefs to facilitate resilience and possible recovery despite threats of global-scale stresses. Fiji is well positioned to rapidly use findings from this project for better management of reef resources because it has already erected >260 MPAs, Fijian villagers have already bought-in to the value of MPAs, and the Fiji Locally-Managed Marine Area (FLMMA) Network is well organized to get information to villagers in a culturally sensitive and useful manner.
The broader impacts of this project are far reaching. The project provides training opportunities for 2-2.5 Ph.D students and 1 undergraduate student each year in the interdisciplinary areas of marine ecology, marine conservation, and marine chemical ecology. Findings from this project will be immediately integrated into classes at Ga Tech and made available throughout Fiji via a foundation and web site that have already set-up to support marine conservation efforts in Fiji and marine education efforts both within Fiji and internationally. Business and community leaders from Atlanta (via Rotary International Service efforts) have been recruited to help organize and fund community service and outreach projects in Fiji -- several of which are likely to involve marine conservation and education based in part on these efforts there. Media outlets (National Geographic, NPR, Animal Planet, Audubon Magazine, etc.) and local Rotary clubs will be used to better disseminate these discoveries to the public.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
Rasher DB, Stout EP, Engel S, Kubanek J, and ME Hay. \"Macroalgal terpenes function as allelopathic agents against reef corals\", Proceedings of the National Academy of Sciences, v. 108, 2011, p. 17726.
Beattie AJ, ME Hay, B Magnusson, R de Nys, J Smeathers, JFV Vincent. \"Ecology and bioprospecting,\" Austral Ecology, v.36, 2011, p. 341.
Rasher DB and ME Hay. \"Seaweed allelopathy degrades the resilience and function of coral reefs,\" Communicative and Integrative Biology, v.3, 2010.
Hay ME, Rasher DB. \"Corals in crisis,\" The Scientist, v.24, 2010, p. 42.
Hay ME and DB Rasher. \"Coral reefs in crisis: reversing the biotic death spiral,\" Faculty 1000 Biology Reports 2010, v.2, 2010.
Rasher DB and ME Hay. \"Chemically rich seaweeds poison corals when not controlled by herbivores\", Proceedings of the National Academy of Sciences, v.107, 2010, p. 9683.";
    String projects_0_end_date "2014-08";
    String projects_0_geolocation "Viti Levu, Fiji (18º13.049’S, 177º42.968’E)";
    String projects_0_name "Killer Seaweeds: Allelopathy against Fijian Corals";
    String projects_0_project_nid "480717";
    String projects_0_start_date "2009-09";
    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 "Movement distance and direction data of tagged Acanthaster in Viti Levu, Fiji from 2010-2012.";
    String title "[Acanthaster movement distance and direction] - Movement distance and direction data of tagged Acanthaster in Viti Levu, Fiji from 2010-2012. (Killer Seaweeds: Allelopathy against Fijian Corals)";
    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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