STYGOTOX: A quality assessed database of (eco)toxicological data on stygofauna and other aquatic subterranean organisms
This data compiles the toxicity data on stygofauna and other aquatic subterranean organisms in one (eco)toxicological database. A total of 46 studies were found, containing 472 toxic endpoints covering 43 different stressors. These compounds were tested on subterranean organisms from four phyla, 12 orders, 24 genera, and 55 species. The studies included were published between 1976 and July of 2023, in 13 different countries. The suitability of the studies was assessed in order to indicate the completeness of reporting and their suitability for use in hazard and risk assessment. This compilation provides a valuable source of data for future development of toxicity testing protocols for groundwater organisms, and to support decision-making, ecological risk assessments and the derivation of water quality criteria for the protection of groundwater ecosystems. The database will be updated regularly.
The database was founded on literature searches using Google Scholar, Web of Science and Scopus, reference lists of the scientific/peer reviewed literature, as well as generic internet searches. An example of the search criteria used in Scopus can be seen below.
· “Stygofauna” OR “Stygo” OR “Hypogean” OR “Groundwater organism” OR “Groundwater invertebrate” OR “Stygobite”
o AND
· “Toxicity” OR “Ecotoxicity” OR “Dose-response” OR “Sensitivity”
Searches were conducted in English and identified several studies written in German and French that had English abstracts or keywords. Studies in languages other than English were translated using Google translate. The current database (version 2023.12) includes papers published prior to December 2023. The criteria for the inclusion of data from a study into the database was the availability of one of the following toxicity endpoints: Lethal concentration (LC), Effect concentration (EC), Inhibition concentration (IC), Lethal temperature (Ltemp), Effect temperature (Etemp), Lethal time (Ltime), Effect time (Etime), No observable effect concentration (NOEC), and Lowest observed effect concentration” (LOEC). Where available, the effect of the EC is mentioned.
Funding
Predicting the impacts of groundwater drawdown on groundwater ecosystems
Australian Research Council
Find out more...History
Research Project URL
Research Project ID
279396865Q/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 -------- 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 formatFAIR Self Assessment Rating
- 4 Stars
Data Sensitivity
- General