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16S rDNA amplicon sequence data - Maules Creek

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posted on 07.03.2022, 22:12 by Grant HoseGrant Hose, Kathryn KorbelKathryn Korbel
16S rDNA amplicon sequence data for samples from groundwater, hyporheic zone and surface waters at Maules Creek, 2015-2016.

Data sequenced at Ramaciotti Centre NSW using Illumina MiSeq 250 bp reads, demultiplexed

See Korbel et al (in review) for full details of sample collection and processing

History

Research Project ID

64190824

Q/A Log

  • Institutional review completed

FAIR Self Assessment Summary

This text has been generated from a tool that has been adapted from the ARDC FAIR Assessment Tool Findable -------- Does the dataset have any identifiers assigned? Global Is the dataset identifier included in all metadata records/files describing the data? Yes How is the data described with metadata? Brief title and description What type of repository or registry is the metadata record in? Generalist public repository Accessible ---------- How accessible is the data? Publicly accessible Is the data available online without requiring specialised protocols or tools once access has been approved? File download from online location Will the metadata record be available even if the data is no longer available? Yes Interoperable ------------- What (file) format(s) is the data available in? In a structured, open standard, non-machine-readable format What best describes the types of vocabularies/ontologies/tagging schemas used to define the data elements? No standards have been applied in the description of data elements How is the metadata linked to other data and metadata (to enhance context and clearly indicate relationships)? The metadata record includes URI links to related metadata, data and definitions Reusable -------- Which of the following best describes the license/usage rights attached to the data? Standard machine-readable license (e.g. Creative Commons) How much provenance information has been captured to facilitate data reuse? Partially recorded

FAIR Self Assessment Rating

3 Stars

Data Sensitivity

General