Data for the analysis of interactive multibiomarker responses of a marine crustacean to long-term exposure to aquatic contaminants

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Abreu, IO (Author) Other; Monteiro, C (Author) Other; Rocha, ACS (Author) Other; Reis Henriques, MA (Author) Other; Teixeira, C (Author) Other; Pires Basto, MCP (Author) Other; Ferreira, M (Author) Other; Marisa M R Almeida (Author) FCUP; Luis Oliva Teles (Author) FCUP; Guimaraes, L (Author) Other

Journal

Title: Data in Brief

Vol. 21

Pages: 386-394

ISSN: 2352-3409

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 2 Citations

Other information

Authenticus ID: P-00Q-7VV

DOI: 10.1016/j.dib.2018.09.055

Abstract (EN): The data presented herein relates to the article entitled "Multibiomarker interactions to diagnose and follow-up chronic exposure of a marine crustacean to hazardous and noxious substances (HNS)" (Abreu et al., 2018). Multibiomarker approaches, including molecular, biochemical, physiological and behaviour parameters, are recognised as valuable and cost-effective to employ in integrated chemical and biological effects monitoring of aquatic contamination. Many biomarkers assessed in such programmes share common physiological pathways, showing concomitant or interdependent responses, which can reflect in increased energy costs related to physiological acclimation. Though, routine single biomarker data analysis, and exploratory principal component analysis, limit information obtained from the data collected and their functional interpretation. Ultimately, this influences the type of management actions taken to protect an affected ecosystem. This article presents data employed to develop an analytical approach accounting for multibiomarker interactions. The method was useful to diagnose and follow-up long-term exposure of the marine green crab (Carcinus maenas) to Hazardous and Noxious Substances (HNS). (C) 2018 The Authors. Published by Elsevier Inc.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9