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Dataset Title:  [Headwater Terrestrial Organic Matter] - Impacts of Terrestrial Organic Matter
on Methanogenic Archaea in Littoral and Pelagic Sediments of the Mississippi
River Headwaters from June to September 2020 (Cyanos Great Lakes
Project) (Collaborative Research: Cyanobacteria, Nitrogen Cycling, and Export
Production in the Laurentian Great Lakes)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_986580_v1)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 accession (unitless) ?          "SRR30809744"    "SRR30809763"
 study (unitless) ?          "SRP535058"    "SRP535058"
 object_status (unitless) ?          "new"    "new"
 bioproject_accession (unitless) ?          "PRJNA1164797"    "PRJNA1164797"
 biosample_accession (unitless) ?          "SAMN43908049"    "SAMN43908068"
 sample_name (unitless) ?          "A Pre Microcosm"    "EN Post Microcosm"
 library_ID (unitless) ?          "S202"    "S277"
 title (unitless) ?          "16S V3-V4 of Sedim..."    "16S V3-V4 of Sedim..."
 library_strategy (unitless) ?          "AMPLICON"    "AMPLICON"
 library_source (unitless) ?          "GENOMIC"    "GENOMIC"
 library_selection (unitless) ?          "PCR"    "PCR"
 library_layout (unitless) ?          "paired"    "paired"
 platform (unitless) ?          "ILLUMINA"    "ILLUMINA"
 instrument_model (unitless) ?          "Illumina MiSeq"    "Illumina MiSeq"
 design_description (unitless) ?          "targeted the V3-V4..."    "targeted the V3-V4..."
 filetype (unitless) ?          "fastq"    "fastq"
 fasta_file (unitless) ?          ""    ""
 assembly (unitless) ?          ""    ""
 filename (unitless) ?          "HMS20200602A15Post..."    "HMS20200602E_S206_..."
 filename2 (unitless) ?          "HMS20200602A15Post..."    "HMS20200602E_S206_..."
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more information)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  accession {
    String long_name "Accession";
    String units "unitless";
  }
  study {
    String long_name "Study";
    String units "unitless";
  }
  object_status {
    String long_name "Object_status";
    String units "unitless";
  }
  bioproject_accession {
    String long_name "Bioproject_accession";
    String units "unitless";
  }
  biosample_accession {
    String long_name "Biosample_accession";
    String units "unitless";
  }
  sample_name {
    String long_name "Sample_name";
    String units "unitless";
  }
  library_ID {
    String long_name "Library_id";
    String units "unitless";
  }
  title {
    String long_name "Title";
    String units "unitless";
  }
  library_strategy {
    String long_name "Library_strategy";
    String units "unitless";
  }
  library_source {
    String long_name "Library_source";
    String units "unitless";
  }
  library_selection {
    String long_name "Library_selection";
    String units "unitless";
  }
  library_layout {
    String long_name "Library_layout";
    String units "unitless";
  }
  platform {
    String long_name "Platform";
    String units "unitless";
  }
  instrument_model {
    String long_name "Instrument_model";
    String units "unitless";
  }
  design_description {
    String long_name "Design_description";
    String units "unitless";
  }
  filetype {
    String long_name "Filetype";
    String units "unitless";
  }
  fasta_file {
    String long_name "Fasta_file";
    String units "unitless";
  }
  assembly {
    String long_name "Assembly";
    String units "unitless";
  }
  filename {
    String long_name "Filename";
    String units "unitless";
  }
  filename2 {
    String long_name "Filename2";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.986580.1";
    String history 
"2026-02-13T13:53:03Z (local files)
2026-02-13T13:53:03Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986580_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/986580";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String sourceUrl "(local files)";
    String summary 
"Terrestrial organic matter (tOM) plays a key role in aquatic ecosystems, influencing carbon cycling and greenhouse gas emissions. Here, we investigate how tOM affects methane production in littoral and pelagic sediments from the Mississippi River headwaters using a controlled microcosm approach. Contrary to expectations, tOM additions consistently enhanced methane production across both sediment types, with no significant differences between littoral and pelagic zones. Methane generation was mediated by specific sediment microorganisms—primarily methanogens and lignocellulose-degrading bacteria—which exhibited similar responses across habitats. 

Sequencing data associated with this paper is available on NCBI through the project PRJNA1164797: Impacts of Terrestrial Organic Matter on Methanogenic Archaea in Littoral and Pelagic Sediments of the Mississippi River Headwater.

Our results highlight the contribution of cytochrome-containing methanogens and their syntrophic interactions with fermentative bacteria, underscoring the importance of microbial community composition in regulating sediment methane dynamics. These findings suggest that increasing tOM loads to freshwater systems could have broader implications for methane emissions, driven by specific microbial interactions.";
    String title "[Headwater Terrestrial Organic Matter] - Impacts of Terrestrial Organic Matter on Methanogenic Archaea in Littoral and Pelagic Sediments of the Mississippi River Headwaters from June to September 2020 (Cyanos Great Lakes Project) (Collaborative Research: Cyanobacteria, Nitrogen Cycling, and Export Production in the Laurentian Great Lakes)";
  }
}

 

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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