BCO-DMO ERDDAP
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Dataset Title: | [18S rRNA gene tag sequences from DNA and RNA] - NCBI accession metadata for 18S rRNA gene tag sequences from DNA and RNA from samples collected in coastal California in 2013 and 2014 (Protistan, prokaryotic, and viral processes at the San Pedro Ocean Time-series) |
Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_745527) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph |
To view the map, check View : Map of All Related Data above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.
Distinct Data (Metadata) (Refine the data subset and/or download the data)
bioproject_accession | SRA_study_ID | SRA_title | library_strategy | library_selection | library_layout | platform | instrument_model | filetype | filetpe2 |
---|---|---|---|---|---|---|---|---|---|
unitless | unitless | unitless | unitless | unitless | unitless | unitless | unitless | unitless | unitless |
PRJNA311248 | SRP070577 | V4 tag sequencing of microbial eukaryotic community | AMPLICON | PCR | paired | ILLUMINA | Illumina MiSeq | fastq | fastq |
In total, there are 1 rows of distinct combinations of the variables listed above.
All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
Related Data (Metadata) (Refine the data subset and/or download the data)
To view the related data, change View : Related Data above.
WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.