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BCO-DMO ERDDAP
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| Dataset Title: | [Sediment Bacteria in MN Lakes] - Diversity and distribution of sediment bacteria across an ecological and trophic gradient from 2018 to 2019 (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_986587_v1) |
| Information: | Summary
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| FGDC
| ISO 19115
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Attributes {
s {
accession {
String long_name "Accession";
String units "unitless";
}
message {
String long_name "Message";
String units "unitless";
}
sample_name {
String long_name "Sample_name";
String units "unitless";
}
sample_title {
String long_name "Sample_title";
String units "unitless";
}
organism {
String long_name "Organism";
String units "unitless";
}
host {
String long_name "Host";
String units "unitless";
}
isolation_source {
String long_name "Isolation_source";
String units "unitless";
}
collection_date {
String long_name "Collection_date";
String units "unitless";
}
geo_loc_name {
String long_name "Geo_loc_name";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float32 actual_range 43.90347, 47.98746;
String axis "Y";
String ioos_category "Location";
String long_name "Latitude";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float32 actual_range 90.16812, 96.33931;
String axis "X";
String ioos_category "Location";
String long_name "Longitude";
String standard_name "longitude";
String units "degrees_east";
}
ref_biomaterial {
String long_name "Ref_biomaterial";
String units "unitless";
}
samp_collect_device {
String long_name "Samp_collect_device";
String units "units";
}
samp_size {
Float32 actual_range 0.249, 0.2564;
String long_name "Samp_size";
String units "mL";
}
country {
String long_name "Country";
String units "unitless";
}
state {
String long_name "State";
String units "unitless";
}
lake_name {
String long_name "Lake_name";
String units "unitless";
}
sample_depth_range_min {
Int32 actual_range 0, 4;
String long_name "Sample_depth_range_min";
String units "cm";
}
sample_depth_range_max {
Int32 actual_range 2, 6;
String long_name "Sample_depth_range_max";
String units "cm";
}
}
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.986587.1";
Float64 Easternmost_Easting 96.33931;
Float64 geospatial_lat_max 47.98746;
Float64 geospatial_lat_min 43.90347;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max 96.33931;
Float64 geospatial_lon_min 90.16812;
String geospatial_lon_units "degrees_east";
String history
"2026-02-13T15:08:50Z (local files)
2026-02-13T15:08:50Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986587_v1.html";
String infoUrl "https://osprey.bco-dmo.org/dataset/986587";
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.";
Float64 Northernmost_Northing 47.98746;
String sourceUrl "(local files)";
Float64 Southernmost_Northing 43.90347;
String summary
"The microbial communities of lake sediments have the potential to serve as valuable bioindicators and integrators of watershed land use and water quality; however, the relative sensitivity of these communities to physicochemical and geographical parameters must be demonstrated at taxonomic resolutions that are feasible with current sequencing and bioinformatic approaches. The geologically diverse and lake-rich state of Minnesota (USA) is uniquely suited to address this potential because of its variability in ecological region, lake type, and watershed land use. In this study, we selected twenty lakes with varying physicochemical properties across four ecological regions of Minnesota.
Our objectives were to (i) evaluate the diversity and composition of the bacterial community at the sediment–water interface and (ii) determine how lake location and watershed land use impact aqueous chemistry and influence bacterial community structure. Our 16S rRNA amplicon data from lake sediment cores at two depth intervals indicate that sediment communities are more likely to cluster by ecological region rather than by any individual lake properties (e.g., trophic status, total phosphorus concentration, lake depth).
However, composition is tied to a given lake, wherein samples from the same core were more alike than samples collected at similar depths across lakes. Our results illustrate the diversity within lake sediment microbial communities and provide insight into relationships between taxonomy, physicochemical, and geographic properties of north temperate lakes.
All relevant data are in Sauer et al., 2022. All 16S rRNA amplicon data are available from the SRA database at BioProject PRJNA763898.";
String title "[Sediment Bacteria in MN Lakes] - Diversity and distribution of sediment bacteria across an ecological and trophic gradient from 2018 to 2019 (Cyanos Great Lakes project) (Collaborative Research: Cyanobacteria, Nitrogen Cycling, and Export Production in the Laurentian Great Lakes)";
Float64 Westernmost_Easting 90.16812;
}
}
Data Access Protocol (DAP)
and its
selection constraints
.
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.