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Dataset Title:  Organic matter composition of the dominant plants in and around three marsh
ponds in PIE-LTER (Rowley, MA) from 2014.
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_738188)
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 {
  Plant {
    String bcodmo_name "species";
    String description 
"Plant species; Alterniflora = Spartina alterniflora
Ruppia = Ruppia maritima
Patens = Spartina patens
Pond BMA = pond benthic microalgae";
    String long_name "Plant";
    String units "unitless";
  }
  Pond {
    Byte _FillValue 127;
    Byte actual_range 1, 3;
    String bcodmo_name "Site_ID";
    String description "Site number";
    String long_name "Pond";
    String units "unitless";
  }
  TOC {
    Float64 _FillValue NaN;
    Float64 actual_range 0.611626823723675, 41.592685364454;
    String bcodmo_name "TOC";
    String description "Percent total organic carbon";
    String long_name "TOC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCOTX/";
    String units "percent";
  }
  d13C {
    Float64 _FillValue NaN;
    Float64 actual_range -17.7112210919869, -9.82443864538069;
    String bcodmo_name "d13C";
    String description "d13C in units of per mil";
    String long_name "D13 C";
    String units "per mil";
  }
  TN {
    Float64 _FillValue NaN;
    Float64 actual_range 0.08675979485693, 2.8814704374062;
    String bcodmo_name "N";
    String description "Percent total nitrogen";
    String long_name "TN";
    String units "percent";
  }
  d15N {
    Float64 _FillValue NaN;
    Float64 actual_range -1.22439559773684, 4.21377390810107;
    String bcodmo_name "d15N";
    String description "d15N in units of per mil";
    String long_name "D15 N";
    String units "per mil";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"The three ponds are located in the high marsh (1.43-1.46 m above North
American Vertical Datum of 1988) of the Plum Island Ecosystems \\u2013 Long
Term Ecological Research (PIE-LTER) site. Leaves from S. alterniflora, S.
patens, R. maritima, and Ulva were collected in August 2014 from across the
marsh platform and all three ponds; tissues were combined in combusted (450
\\u2103) glass jars to form species-specific composite samples. Benthic
microalgae (BMA) were collected from ponds 1 and 2, as part of a separate
study (July 2016), by placing combusted glass slides on surface sediments for
one week and scraping attached material onto combusted glass fiber filters.
All samples were frozen (-20 \\u2103) until analysis for TOC, TN, \\u03b413C,
and \\u03b415N. Samples were prepared for elemental and isotopic analyses by
drying to constant mass (60 \\u00b0C) and fuming with hydrochloric (HCl) acid
to remove carbonates (Hedges and Stern 1984). Analyses were performed by the
Stable Isotope Laboratory at the Marine Biological Laboratory (Woods Hole,
MA). Isotopic data are reported in the conventional \\u03b4-notation in units
of per mil (\\u2030).";
    String awards_0_award_nid "529582";
    String awards_0_award_number "OCE-1233678";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1233678";
    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 
"Organic matter composition of dominant plants in marsh ponds 
  A. Spivak, PI 
  Version 5 June 2018";
    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 "2018-06-05T20:14:33Z";
    String date_modified "2018-07-17T18:35:22Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.738188.1";
    String history 
"2020-08-11T12:51:51Z (local files)
2020-08-11T12:51:51Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_738188.das";
    String infoUrl "https://www.bco-dmo.org/dataset/738188";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, d13, d13C, d15, d15N, data, dataset, dmo, erddap, management, oceanography, office, plant, pond, preliminary, toc";
    String license "https://www.bco-dmo.org/dataset/738188/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/738188";
    String param_mapping "{'738188': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/738188/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Amanda Spivak";
    String people_0_person_nid "529580";
    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 "Hannah Ake";
    String people_1_person_nid "650173";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "benthic_PP_at_TIDE";
    String projects_0_acronym "benthic_PP_at_TIDE";
    String projects_0_description 
"Extracted from the NSF award abstract:
This project will address how rates of benthic microalgal production respond to eutrophication and geomorphological changes in human-impacted tidal creeks. Excess nutrient loading increases benthic algal biomass and likely stimulates production rates but the magnitude of nutrient and geomorphological effects on rates of production is unknown. Will changes in benthic algal productivity affect algal-bacterial coupling? Furthermore, how is algal-bacterial coupling affected by geomorphological changes, which may be exacerbated by excess nutrient loading but can also occur in pristine marshes?
This project will take advantage of the infrastructure of the TIDE project, a long-term saltmarsh eutrophication experiment at the Plum Island Ecosystem - Long Term Ecological Research site in Northeastern Massachusetts. Specifically, the PIs will measure benthic metabolism and examine algal- bacterial coupling in fertilized and ambient nutrient tidal creeks in the first field season. The following field season, they will compare sediment metabolism and carbon dynamics on slumped tidal creek walls (i.e. areas where low marsh has collapsed into the tidal creek) to that on the bottom of tidal creeks. In both years, gross and net production will be determined using an innovative triple oxygen isotope technique and traditional dissolved oxygen and inorganic carbon flux measurements. Comparisons between these methods will be useful in informing studies of sediment metabolism. Lipid biomarkers will be used to characterize the sources of organic matter to creek sediments, and stable isotope analysis of bacterial specific biomarkers to identify the sources of organic carbon utilized by sediment bacteria. The biomarkers will reveal whether sediment bacteria use organic matter substrates, such as benthic microalgal carbon, selectively or in proportion to availability. Overall, results from the proposed study will provide important information about how sediment carbon dynamics in shallow tidal creeks respond to long term eutrophication. Furthermore, findings will enhance understanding of the role of tidal creeks in coastal biogeochemistry.";
    String projects_0_end_date "2015-08";
    String projects_0_geolocation "Plum Island Estuary, Rowley Massachusetts";
    String projects_0_name "Eutrophication Effects on Sediment Metabolism and Benthic Algal-bacterial Coupling: An Application of Novel Techniques in a LTER Estuary";
    String projects_0_project_nid "529583";
    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 "Organic matter composition of the dominant plant communities in and around three high marsh ponds within PIE-LTER. Data were collected in the summer of 2014.";
    String title "Organic matter composition of the dominant plants in and around three marsh ponds in PIE-LTER (Rowley, MA) from 2014.";
    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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