This research aimed to observe how depth below ground influences biotic assemblages within alluvial aquifers.
See metadata (first tab of the data set) and Methods - Read Me.txt file for more information.
~40 samples were collected on two separate occasions (6 months apart) from three alluvial aquifers (the Macquarie, Namoi and Hunter River catchments).
Groundwater was pumped from wells and samples collected included water chemistry, eDNA (16S for prokaryotes, 18S for eukaryotes) and physical collection of stygofauna.
Funding
NSW Environmental Trust
History
Research Project ID
105151594
Q/A Log
FAIR assessment completed
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
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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
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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
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What (file) format(s) is the data available in?
In a structured, open standard, machine-readable 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
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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