Data compilation on the biological response to ocean acidification: environmental and experimental context of data sets and related literature

The exponential growth of studies on the biological response to ocean acidification over the last few decades has generated a large amount of data. To facilitate data comparison, a data compilation hosted at the data publisher PANGAEA was initiated in 2008 and is updated on a regular basis (doi:10.1594/PANGAEA.149999). By January 2015, a total of 581 data sets (over 4 000 000 data points) from 539 papers had been archived. Here we present the developments of this data compilation five years since its first description by Nisumaa et al. (2010). Most of study sites from which data archived are still in the Northern Hemisphere and the number of archived data from studies from the Southern Hemisphere and polar oceans are still relatively low. Data from 60 studies that investigated the response of a mix of organisms or natural communities were all added after 2010, indicating a welcomed shift from the study of individual organisms to communities and ecosystems. The initial imbalance of considerably more data archived on calcification and primary production than on other processes has improved. There is also a clear tendency towards more data archived from multifactorial studies after 2010. For easier and more effective access to ocean acidification data, the ocean acidification community is strongly encouraged to contribute to the data archiving effort, and help develop standard vocabularies describing the variables and define best practices for archiving ocean acidification data.

Trichogramma canariensis (Insecta: Hymenoptera: Trichogrammatidae) a parasitoid of eggs of the twinspot moth Chrysodeixis chalcites (Lepidoptera: Noctuidae) in the Canary Islands

A new species of Trichogramma Westwood (Hymenoptera: Trichogrammatidae) parasitizing eggs of the golden twin-spot moth (or tomato looper) Chrysodeixis chalcites (Esper) (Lepidoptera: Noctuidae) on banana crops in the Canary Islands, Spain, is described as Trichogramma canariensis del Pino & Polaszek, sp.n. The new species is closely related to T. brassicae Bezdenko. Limited aspects of morphology, coupled with ITS2 and COI sequences and reproductive data are presented to distinguish T. canariensis sp.n. from T. brassicae.

Texture for Script identification

The problem of determining the script and language of a document image has a number of important applications in the field of document analysis, such as indexing and sorting of large collections of such images, or as a precursor to optical character recognition (OCR). In this paper, we investigate the use of texture as a tool for determining the script of a document image, based on the observation that text has a distinct visual texture. An experimental evaluation of a number of commonly used texture features is conducted on a newly created script database, providing a qualitative measure of which features are most appropriate for this task. Strategies for improving classification results in situations with limited training data and multiple font types are also proposed.