sbd-data-book

Data

The landscape found the following datasets and databases.

Databases

SPARQL sparql/allDatabases.rq (run)

PREFIX sbd:     <https://www.sbd4nano.eu/rdf/#>
PREFIX foaf:   <http://xmlns.com/foaf/0.1/> 
PREFIX rdfs:   <http://www.w3.org/2000/01/rdf-schema#> 
SELECT ?title ?url WHERE {
  ?database a sbd:Database ;
            rdfs:label ?title .
  OPTIONAL { ?database foaf:page ?url }
} ORDER BY ?url

This gives us a list of databases, here showing the first 10:

title url
The Blood Exposome Database http://bloodexposome.org/
Comparative Toxicogenomics Database http://ctdbase.org/
Chromium Epigenomics Toxicology http://eh4.uc.edu/chromium/
Exposome Explorer http://exposome-explorer.iarc.fr/
Tox Biology Checklist http://mibbi.sf.net/projects/TBC.shtml
Danish (Q)SAR Database http://qsar.food.dtu.dk/
Toxicology Data Markup Language http://toxml.org
International Harmonization of Nomenclature and Diagnostic criteria http://www.goreni.org/
This table is truncated. See the full table at sparql/allDatabases.rq

Datasets

SPARQL sparql/allDatasets.rq (run)

PREFIX sbd:     <https://www.sbd4nano.eu/rdf/#>
PREFIX foaf:   <http://xmlns.com/foaf/0.1/> 
PREFIX rdfs:   <http://www.w3.org/2000/01/rdf-schema#> 
SELECT ?dataset ?datasetLabel WHERE {
  ?dataset_ a sbd:Dataset ;
           rdfs:label ?datasetLabel .
  OPTIONAL { ?dataset_ foaf:page ?dataset }
} ORDER BY ?dataset

This gives us a list of datasets, here showing the first 10:

dataset
All NanoPUZZLES ISA-TAB-Nano datasets
Quasi-QSAR for predicting the cell viability of human lung and skin cells exposed to different metal oxide nanomaterials
A unified in silico model based on perturbation theory for assessing the genotoxicity of metal oxide nanoparticles
Ecotoxicological read-across models for predicting acute toxicity of freshly dispersed versus medium-aged NMs to Daphnia magna
Computational ecotoxicology: Simultaneous prediction of ecotoxic effects of nanoparticles under different experimental conditions
Modelling the toxicity of a large set of metal and metal oxide nanoparticles using the OCHEM platform
Use of size-dependent electron configuration fingerprint to develop general prediction models for nanomaterials
Computational enrichment of physicochemical data for the development of a ΞΆ-potential read-across predictive model with Isalos Analytics Platform
This table is truncated. See the full table at sparql/allDatasets.rq