Daphnia magna nanotoxicity database
"KIT Daphnia data on nano particles" dataset is based on "Meta-analysis of Daphnia magna nanotoxicity experiments in accordance with test guidelines", Shin, Hyun Kil & Seo, Myungwon & Shin, Seong & Kim, Kwang-Yon & Park, June-Woo & No, Kyoung Tai (2018) study and contains the raw “original_daphnia” data file and its eight derived processed files. The "original_daphnia" data is compiled from research articles in which nanotoxicity toward Daphnia Magna was measured according to the test guidelines from OECD and US EPA. Toxic response caused by nanomaterials have been assayed; however, the assay outcomes were varied between research articles. Therefore, this data set was compiled for meta-analysis to figure out what may be the cause of data heterogeneity between diverse assay outcomes. This data contains physicochemical properties of nanomaterials, experimental conditions for assays and toxic response measurement. Most of physicochemical properties of nanomaterials were taken from the research articles without considering measurement details for them since measurement details were often absent in the articles. Therefore, further details could only be found in reference research article. Since nanomaterials were easily aggregated in media, dispersion methods were applied to make nanomaterials being nano-sized particle. Centrifuge, stir, sonication, and filter were four dispersion methods used among research articles.
Database / data source
OpenAPI, REST, REST under OAS3 specification
Toxicology, chemical properties and bioassay databases
Computational modelling, Toxicology, Predictive toxicology
Bioassay, Nano safety, Risk assessment
Regulators, Risk assessors, Researchers, Students
Relevant OpenRiskNet case study:
DataCure - Data curation and creation of pre-reasoned datasets and searching
Korea Institute of Toxicology
Attribution 4.0 International (CC BY 4.0)
Application programming interface available, Graphical user interface available, OAS v3, Available as web service
Technology readiness level:
TRL 8 – system complete and qualified
Service integration operations completed:
Utilises the OpenRiskNet APIs to ensure that each service is accessible to our proposed interoperability layer.
Is annotated according to the semantic interoperability layer concept using defined ontologies.
Is containerised for easy deployment in virtual environments of OpenRiskNet instances.
Has documented scientific and technical background.
Is deployed into the OpenRiskNet reference environment.
Is listed in the OpenRiskNet discovery services.
Is listed in other central repositories like eInfraCentral, bio.tools and TeSS (ELIXIR).
Provides legal and ethical statements on how the service can be used.