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Dataset Title:  Experiment testing the temperature dependence of urchin grazing at the
Galapagos Science Center on San Cristobal Island from February to March 2018
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_775500)
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 {
  Mesocosm {
    Byte _FillValue 127;
    Byte actual_range 1, 8;
    String bcodmo_name "sample";
    String description "mesocosm identifier";
    String long_name "Mesocosm";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Species {
    String bcodmo_name "species";
    String description "Species of sea urchin";
    String long_name "Species";
    String units "unitless";
  }
  Temperature {
    Byte _FillValue 127;
    Byte actual_range 18, 32;
    String bcodmo_name "temperature";
    String description "water temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  Grazing {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.049411765;
    String bcodmo_name "unknown";
    String description "volume of Ulva app eater (g) divided by the urchin volume; I.e. size normalized grazing rate.";
    String long_name "Grazing";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"For each temperature run (i.e., each experimental level) eight urchins of each
species were collected from Cerro Tijieretas cove
(0\\u00b053\\u201916.78\\u201dS, 89\\u00b036\\u201929.18\\u201dW) at an average
depth of 4 m. Urchins were transported in plastic containers filled with sea
water to the UNC/USFQ Galapagos Science Center.\\u00a0
 
Each individual, whose volume has been calculated using a beaker (ie, via
water displacement), was randomly assigned to a numbered mesocosm: green and
pencil urchins were placed in 21x11x9 cm and 42x9 cm (circumference x depth),
respectively, with 5g (wet weight) of fresh Ulva sp. each taken from the Cerro
Tijieretas site. Ulva sp. was weighed after excess water was removed using a
salad spinner that was cycled twice for 20 repetitions. The 16 mesocosms were
then placed randomly within a large water bath of 130x60x35 dimensions at the
temperature to be tested randomly. A chiller and two heaters, paired with an
Apex aquarium thermostat, were used to control the water temperature inside
the water bath. Each mesocosm closed with a wire mesh top so that the water
temperature inside the mesocosm was the same as that in the aquarium and water
could be exchanged freely. Before the test, the individuals were left to fast
for 24 hours in basins with oxygenators. The water inside the basins was
changed approximately every 12 hours with new sea water at an ambient
temperature of ~23\\u00b0C. This procedure was repeated for every temperature
tested.";
    String awards_0_award_nid "739776";
    String awards_0_award_number "OCE-1737071";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1737071";
    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 cdm_data_type "Other";
    String comment 
"GSC experiment testing the temperature dependence of urchin grazing. 
  PI: John Bruno 
  Version: 2019-08-15";
    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 "2019-08-15T20:10:15Z";
    String date_modified "2019-08-20T13:19:00Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.775500.1";
    String history 
"2022-08-19T03:04:41Z (local files)
2022-08-19T03:04:41Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_775500.das";
    String infoUrl "https://www.bco-dmo.org/dataset/775500";
    String institution "BCO-DMO";
    String instruments_0_acronym "Aquarium";
    String instruments_0_dataset_instrument_description "Each mesocosm closed with a wire mesh top so that the water temperature inside the mesocosm was the same as that in the aquarium and water could be exchanged freely.";
    String instruments_0_dataset_instrument_nid "775514";
    String instruments_0_description "Aquarium - a vivarium consisting of at least one transparent side in which water-dwelling plants or animals are kept";
    String instruments_0_instrument_name "Aquarium";
    String instruments_0_instrument_nid "711";
    String instruments_0_supplied_name "aquarium";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, dmo, erddap, grazing, management, mesocosm, oceanography, office, preliminary, species, temperature";
    String license "https://www.bco-dmo.org/dataset/775500/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/775500";
    String param_mapping "{'775500': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/775500/parameters";
    String people_0_affiliation "University of North Carolina at Chapel Hill";
    String people_0_affiliation_acronym "UNC-Chapel Hill";
    String people_0_person_name "John Bruno";
    String people_0_person_nid "739779";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Mathew Biddle";
    String people_1_person_nid "708682";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Temperature and Herbivory";
    String projects_0_acronym "Temperature and Herbivory";
    String projects_0_description 
"NSF Award Abstract:
A well-known pattern in coastal marine systems is a positive association between the biomass of primary producers and the occurrence or intensity of upwelling. This is assumed to be caused by the increase in nutrient concentration associated with upwelling, enabling higher primary production and thus greater standing algal biomass. However, upwelling also causes large, rapid declines in water temperature. Because the metabolism of fish and invertebrate herbivores is temperature-dependent, cooler upwelled water could reduce consumer metabolism and grazing intensity. This could in turn lead to increased standing algal biomass. Thus upwelling could influence both bottom-up and top-down control of populations and communities of primary producers. The purpose of this study is to test the hypothesis that grazing intensity and algal biomass are, in part, regulated by temperature via the temperature-dependence of metabolic rates. Broader impacts include the training and retention of minority students through UNC's Course Based Undergraduate Research program, support of undergraduate research, teacher training, and various outreach activities.
The investigators will take advantage of the uniquely strong spatiotemporal variance in water temperature in the Galápagos Islands to compare grazing intensity and primary production across a natural temperature gradient. They will combine field monitoring, statistical modeling, grazing assays, populations-specific metabolic measurements, and in situ herbivore exclusion and nutrient addition to measure the effects of temperature on pattern and process in shallow subtidal communities. The researchers will also test the hypothesis that grazer populations at warmer sites and/or during warmer seasons are less thermally sensitive, potentially due to acclimatization or adaptation. Finally, the investigators will perform a series of mesocosm experiments to measure the effect of near-future temperatures on herbivores, algae, and herbivory. This work could change the way we view upwelling systems, particularly how primary production is regulated and the temperature-dependence of energy transfer across trophic levels.";
    String projects_0_end_date "2020-07";
    String projects_0_name "The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems";
    String projects_0_project_nid "739777";
    String projects_0_project_website "https://github.com/johnfbruno/Galapagos_NSF.git";
    String projects_0_start_date "2017-08";
    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 "This study was conducted from February to March 2018 at the Galapagos Science Center on San Cristobal Island. The rate of Ulva sp. consumption by the two sea urchins, Lytechinus semituberculatus and Eucidaris galapagensis was measured at 10 temperatures: 14\\u00b0, 16\\u00b0, 18\\u00b0, 20\\u00b0, 22\\u00b0, 24\\u00b0, 26\\u00b0, 28\\u00b0, 30\\u00b0, 32\\u00b0C. L. semituberculatus (green urchin), E. galapaguensis (pencil urchin) and T. depressus (white urchin) are the three most common species in the Galapagos Islands and together make up 91% of the sea urchin biomass.  Ulva sp. was used as the prey item because it is one of the most abundant macroalgal species, together with turf, encrusting coralline algae and Sargassum near the Galapagos and coast and because it is highly palatable for herbivores.";
    String title "Experiment testing the temperature dependence of urchin grazing at the Galapagos Science Center on San Cristobal Island from February to March 2018";
    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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