Macquarie University
2 files

Korbel et al 16S + 18S rDNA sequence and OTU data

posted on 2024-05-05, 23:12 authored by Grant HoseGrant Hose

The first set of data are processed sequence data from samples of DNA collected over space and time in an artificial aquifer system in Munich Germany. The data demonstrate the mobility of DNA through an experimental sand aquifer.

The second set of Data are processed sequence data from laboratory microcosm experiment examining the fate of stygofauna DNA in closed aquatic ecosystems.

GrantDemux contains demultiplexed sequence (fasta) files


Research Project ID

Pure RMS Project ID : 279396865

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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? Comprehensively (see suggestion) using a recognised formal machine-readable metadata schema What type of repository or registry is the metadata record in? Data is in one place but discoverable through several registries Accessible ---------- How accessible is the data? Publicly accessible Is the data available online without requiring specialised protocols or tools once access has been approved? Standard web service API (e.g. OGC) 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? Mostly in a proprietary format What best describes the types of vocabularies/ontologies/tagging schemas used to define the data elements? Standardised vocabularies/ontologies/schema without global identifiers 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? Fully recorded in a machine-readable format

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