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Dataset Title:  Data from reciprocal transplant experiments conducted on Porites coral
collected on Palau in December 2012
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_705851)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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Things You Can Do With Your Graphs

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  coral_id {
    String bcodmo_name "sample";
    String description "Unique identification number for each transplanted coral";
    String long_name "Coral Id";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  transplant_duration {
    Byte _FillValue 127;
    Byte actual_range 2, 17;
    String bcodmo_name "duration";
    String description "Length of transplant experiment (2 or 17 months)";
    String long_name "Transplant Duration";
    String units "months";
  }
  original_omegaAR {
    Float32 _FillValue NaN;
    Float32 actual_range 2.3, 3.7;
    String bcodmo_name "OM_ar";
    String description "Aragonite saturation state of reef where coral was collected";
    String long_name "Original Omega AR";
    String units "unitless";
  }
  transplant_omegaAR {
    Float32 _FillValue NaN;
    Float32 actual_range 2.3, 3.7;
    String bcodmo_name "OM_ar";
    String description "Aragonite saturation state of reef where coral was transplanted";
    String long_name "Transplant Omega AR";
    String units "unitless";
  }
  treatment_code {
    String bcodmo_name "treatment";
    String description "Indicates return to reef of origin (O) or transplanted to opposite reef (T)";
    String long_name "Treatment Code";
    String units "unitless";
  }
  calc_rate {
    Float32 _FillValue NaN;
    Float32 actual_range -24.82, 47.67;
    String bcodmo_name "calcification";
    String description "Calcification rate of corals measured by buoyant weight";
    String long_name "Calc Rate";
    String units "milligrams per square centimeter per month (mg/cm2/month)";
  }
  status {
    String bcodmo_name "sample_descrip";
    String description "Health status of corals at end of transplant experiment (live, partially dead, or dead)";
    String long_name "Status";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Methods reprinted from Barkley et al. 2017:  
Coral collection:\\u00a0Coral plugs were collected in December 2012 from
massive Porites colonies at a naturally low-\\u03a9ar reef site (7.324 N,
134.493 E; mean \\u03a9ar = 2.3; n = 78) and a naturally high-\\u03a9ar reef
site (7.268 N, 134.522 E; mean \\u03a9ar = 3.7; n = 75). At each reef site,
small skeletal cores (diameter = 3.5 cm) were removed from massive colonies
(one core per colony) at 2-3m depth using underwater pneumatic drills, and
cores were cut with a lapidary table saw to approximately 1 cm below the
tissue layer. The plugs were affixed to nylon square base screws with marine
epoxy, secured to egg crate racks, and returned to their original reefs to
allow the corals to recover from the coring procedure. All corals survived two
months of recovery on the reef and on all corals living tissue had fully
overgrown the sides of the plugs so that no underlying skeleton was exposed.
Corals were recovered in February 2013.
 
Reciprocal transplant experiment:\\u00a0The reciprocal transplant experiment
was conducted concurrently with the CO2 manipulation experiment. Initial
buoyant weight measurements were obtained for all corals prior to
transplantation. Of the corals collected from the low-\\u03a9ar reef and from
the high-\\u03a9ar reef (n = 44 for each reef), approximately half of the
corals in each group was returned to their reef of origin (low-\\u03a9ar to
low-\\u03a9ar: n = 23, high-\\u03a9ar to high-\\u03a9ar: n = 21), while the
remaining corals were transplanted to the opposite reef (low-\\u03a9ar to
high-\\u03a9ar: n = 21, high-\\u03a9ar to low-\\u03a9ar: n = 23). All corals were
transplanted to the same depth (5m). In May 2013, after eight weeks in the
field (and at the end of the CO2 manipulation experiment), approximately half
of the corals from each reef (n = 10-12 per transplant group) were recovered
and weighed. The remaining corals were left out on the two reefs for 17 months
(n = 10-11 per group). In August 2014, these corals were recovered from the
reef.\\u00a0Corals were evaluated for partial or total mortality, and were
judged to be alive (no visible tissue death observed), partially dead (visible
tissue death and/or tissue recession but some living tissue remaining), or
dead (no living tissue remaining). Buoyant weights were collected for all
corals to determine overall calcification rates during the reciprocal
transplant period. Because coral tissue is assumed to be neutrally buoyant
(i.e. it does not contribute to buoyant weight measurements) and the timing of
tissue death during the 17-month transplant was unknown, the overall change in
skeletal mass was calculated and reported for all corals regardless of
mortality status.";
    String awards_0_award_nid "520400";
    String awards_0_award_number "OCE-1220529";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1220529";
    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 
"Reciprocal transplant experiments on Palau Porites coral 
 PI: Anne Cohen (WHOI) 
 Contact: Hannah Barkley (WHOI) 
 Version: 23 June 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 "2017-06-23T18:48:39Z";
    String date_modified "2019-08-02T18:45:30Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.705851.1";
    String history 
"2021-10-21T12:24:57Z (local files)
2021-10-21T12:24:57Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_705851.das";
    String infoUrl "https://www.bco-dmo.org/dataset/705851";
    String institution "BCO-DMO";
    String instruments_0_acronym "Manual Biota Sampler";
    String instruments_0_dataset_instrument_description "At each reef site, small skeletal cores (diameter = 3.5 cm) were removed from massive colonies (one core per colony) at 2–3mdepth using underwater pneumatic drills.";
    String instruments_0_dataset_instrument_nid "705855";
    String instruments_0_description "Manual Biota Sampler indicates that a sample was collected in situ by a person, possibly using a hand-held collection device such as a jar, a net or their hands.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/90/";
    String instruments_0_instrument_name "Manual Biota Sampler";
    String instruments_0_instrument_nid "565";
    String instruments_0_supplied_name "pneumatic drill";
    String keywords "bco, bco-dmo, biological, calc, calc_rate, chemical, code, coral, coral_id, data, dataset, dmo, duration, erddap, management, oceanography, office, omega, original, original_omegaAR, preliminary, rate, status, transplant, transplant_duration, transplant_omegaAR, treatment, treatment_code";
    String license "https://www.bco-dmo.org/dataset/705851/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/705851";
    String param_mapping "{'705851': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/705851/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Anne L Cohen";
    String people_0_person_nid "51428";
    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";
    String people_1_person_name "Hannah Barkley";
    String people_1_person_nid "560803";
    String people_1_role "Contact";
    String people_1_role_type "related";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Shannon Rauch";
    String people_2_person_nid "51498";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Coral Reef Ecosystem OA Impact";
    String projects_0_acronym "Coral Reef Ecosystem OA Impact";
    String projects_0_description 
"text copied from the NSF award abstract: 
Much of our understanding of the impact of ocean acidification on coral reef calcification comes from laboratory manipulation experiments in which reef organisms are removed from their natural habitat and reared under conditions of calcium carbonate saturation (Omega) predicted for the tropical oceans at the end of this century. By comparison, there is a paucity of in situ data describing the sensitivity of coral reef ecosystems to changes in calcium carbonate saturation. Yet emerging evidence suggests there may be critical differences between the calcification response of organisms in culture and the net calcification response of a coral reef ecosystem, to the same degree of change in calcium carbonate saturation. In the majority of cases, the sensitivity of net reef calcification to changing calcium carbonate saturation is more severe than laboratory manipulation experiments predict. Clearly, accurate predictions of the response of coral reef ecosystems to 21st century ocean acidification will depend on a robust characterization of ecosystem-scale responses and an understanding of the fundamental processes that shape them. Using existing data, the investigators show that the sensitivity of coral reef ecosystem calcification to Delta calcium carbonate saturation conforms to the empirical rate equation R=k(Aragonite saturation state -1)n, which also describes the relationship between the rate of net abiogenic CaCO3 precipitation (R) and the degree of Aragonite supersaturation (Aragonite saturation state-1). By implication, the net ecosystem calcification (NEC) response to ocean acidification is governed by fundamental laws of physical chemistry and is potentially predictable across space and time. When viewed this way, the existing, albeit sparse, dataset of NEC reveals distinct patterns that, if verified, have important implications for how different coral reef ecosystems will respond to 21st century ocean acidification. The investigators have outlined a research program designed to build on this proposition. The project expands the currently sparse dataset of ecosystem-scale observations at four strategically placed reef sites: 2 sites in the Republic of Palau, Caroline Islands, Micronesia, western Pacific Ocean; a third at Dongsha Atoll, Pratas Islands, South China Sea; and the fourth at Kingman Reef, US Northern Line Islands, 6 deg. 23 N, 162 deg. 25 W.  The four selected sites will allow investigators to test the following hypotheses: (1) The sensitivity (\"n\" in the rate equation) of coral reef ecosystem calcification to Delta Aragonite saturation state decreases with decreasing Aragonite saturation state. By implication, the rate at which reef calcification declines will slow as ocean acidification progresses over the course of this century. (2) The energetic status of the calcifying community is a key determinant of absolute rates of net ecosystem calcification (\"k\" in the rate equation), which, combined with n, defines the Aragonite saturation state value at which NEC approaches zero. By implication, the shift from net calcification to net dissolution will be delayed in healthy, energetically replete coral reef ecosystems and accelerated in perturbed, energetically depleted ecosystems. and (3) The calcification response of individual colonies of dominant reef calcifiers (corals and algae) is weaker than the measured ecosystem-scale response to the same change in Aragonite saturation state. By implication, processes not adequately captured in laboratory experiments, such as bioerosion and dissolution, will play an important role in the coral reef response to ocean acidification.
Broader Impacts: Ocean acidification threatens the livelihoods of 500 million people worldwide who depend on coral reefs to provide habitable and agricultural land, food, building materials, coastal protection and income from tourism. Yet data emerging from ocean acidification (OA) studies point to critical gaps in our knowledge of reef ecosystem-scale responses to OA that currently limit our ability to predict the timing and severity of its impact on different reefs in different parts of the world. Using existing data generated by the investigators and others, this project will address a series of related hypotheses, which, if verified by the research, will have an immediate, direct impact on predictions of coral reef resilience in a high CO2 world. This project brings together expertise in coral reef biogeochemistry, chemical oceanography and physical oceanography to focus on a problem that has enormous societal, economic and conservation relevance. In addition to sharing the resultant data via BCO-DMO, project data will also be contributed to the Ocean Acidification International Coordination Centre (OA-ICC) data collection hosted at the PANGAEA Open Access library (http://www.pangaea.de).";
    String projects_0_end_date "2015-08";
    String projects_0_geolocation "Republic of Palau, Caroline Islands, Micronesia, western Pacific Ocean; Dongsha Atoll, Pratas Islands, South China Sea; Kingman Reef, US Northern Line Islands, 6 deg. 23 N, 162 deg. 25 W";
    String projects_0_name "Toward Predicting the Impact of Ocean Acidification on Net Calcification by a Broad Range of Coral Reef Ecosystems: Identifying Patterns and Underlying Causes";
    String projects_0_project_nid "520413";
    String projects_0_start_date "2012-09";
    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 "Data from reciprocal transplant experiments conducted on Porites coral collected on Palau in December 2012.";
    String title "Data from reciprocal transplant experiments conducted on Porites coral collected on Palau in December 2012";
    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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