bcodmo_dataset_986587_v1 eng UTF8 dataset service Adam Shepherd BCO-DMO 508-289-2772 266 Woods Hole Rd. MS#36 Woods Hole MA 02543 USA erddap@bco-dmo.org pointOfContact 2026-04-18 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 2 column row [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) 2026-04-18 creation erddap.bco-dmo.org bcodmo_dataset_986587_v1 BCO-DMO info@bco-dmo.org https://osprey.bco-dmo.org/dataset/986587 information web browser Background Information Background information from the source information originator 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. BCO-DMO info@bco-dmo.org https://osprey.bco-dmo.org/dataset/986587 information web browser Background Information Background information from the source information pointOfContact earth science atmosphere ocean biosphere biology environment theme BCO-DMO project latitude longitude theme CF 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. BCO-DMO largerWorkCitation project eng geoscientificInformation 1 90.16812 96.33931 43.90347 47.98746 [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) 2026-04-18 creation BCO-DMO info@bco-dmo.org https://osprey.bco-dmo.org/dataset/986587 information web browser Background Information Background information from the source information originator 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. ERDDAP tabledap 1 90.16812 96.33931 43.90347 47.98746 tight ERDDAPtabledapDatasetQueryAndAccess https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986587_v1 ERDDAP:tabledap ERDDAP-tabledap ERDDAP's tabledap service (a flavor of OPeNDAP) for tabular (sequence) data. Add different extensions (e.g., .html, .graph, .das, .dds) to the base URL for different purposes. download [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) 2026-04-18 creation BCO-DMO info@bco-dmo.org https://osprey.bco-dmo.org/dataset/986587 information web browser Background Information Background information from the source information originator 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. OPeNDAP 1 90.16812 96.33931 43.90347 47.98746 tight OPeNDAPDatasetQueryAndAccess https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986587_v1 OPeNDAP:OPeNDAP OPeNDAP An OPeNDAP service for tabular (sequence) data. Add different extensions (e.g., .html, .das, .dds) to the base URL for different purposes. download physicalMeasurement accession String Accession message String Message sample_name String Sample_name sample_title String Sample_title organism String Organism host String Host isolation_source String Isolation_source collection_date String Collection_date geo_loc_name String Geo_loc_name ref_biomaterial String Ref_biomaterial samp_collect_device String Samp_collect_device samp_size float Samp_size country String Country state String State lake_name String Lake_name sample_depth_range_min int Sample_depth_range_min sample_depth_range_max int Sample_depth_range_max Adam Shepherd BCO-DMO 508-289-2772 266 Woods Hole Rd. MS#36 Woods Hole MA 02543 USA erddap@bco-dmo.org distributor OPeNDAP DAP/2.0 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986587_v1.html order Data Subset Form ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types. download https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986587_v1.graph order Make-A-Graph Form ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data. mapDigital This record was created from dataset metadata by ERDDAP Version 2.22