GROWdb US River Systems¶

PI: Kelly Wrighton¶

ID: growdb:01

Please cite this project and all data from these samples as:

Borton, et al. (2022) GROWdb US River Systems - Samples. [Data set]. DOE Systems Biology Knowledgebase. doi:10.25982/109073.30/1895615.

GROW Overview¶

Genome Resolved Open Watersheds (GROW) is a community effort to increase genomic representation of the world river microbiome with an emphasis on creating an ecosystem-specific publicly available genome database (GROWdb) that will be a resource for microbiologists, geochemists, hydrologists, and modelers and enable new fundamental understandings of watershed microbiology.

DATA AVAILABILITY - requires a KBase login to access:

1. GROW Metagenome Assembled Genomes (MAGs)
2. GROW Metabolic Models

Authorship Agreement¶

These data were acquired using a large scale sequencing proposal generated by multiple PIs using samples collected by multiple labs. To protect early career researchers, sample collectors, and data generators, we are asking data users to review and commit to the authorship agreement here: authorship documents

It is our hope that this will 1) protect early career researchers pursuing stories with this dataset 2) maintain attribution for data collectors and generators 3) promote collaboration among research scientists in river corridor microbiomes.

Dataset Acknowledgement¶

GROWdb contains data from various research campaigns, please acknowledge the following data generators, as appropriate:

1. WHONDRS derived genomes or samples - include this statement in your acknowledgements: “This study used data from the Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS) under the River Corridor Science Focus Area (SFA) at the Pacific Northwest National Laboratory (PNNL) that was generated at the U.S. Department of Energy (DOE) Joint Genome Institute User Facility. PNNL is operated by Battelle Memorial Institute for the U.S. DOE under Contract No. DE-AC05-76RL01830. The SFA is supported by the U.S. DOE, Office of Biological and Environmental Research (BER), Environmental System Science (ESS) Program.”

Total Samples loaded onto this Narrative: 178

Note: Not all GROW samples may be loaded into KBase

Metagenome & Metatranscriptome sampling locations across USA¶

Data that is linked to the samples in this Narrative¶

Samples Upload demonstration - an example file can be access here¶