Harvestmen of the BOS Arthropod Collection of the University of Oviedo (Spain) (Arachnida, Opiliones)

• Published in: ZooKeys Vol. 341; no. 341; pp. 21 - 36
• Main Authors: Merino-Sáinz, Izaskun, Anadón, Araceli, Torralba-Burrial, Antonio
• Format: Journal Article
• Language: English
• Published: Bulgaria Pensoft Publishers 01.01.2013
• Subjects: Arachnida; Arthropods; Biodiversity; Datasets; Information management; Opiliones; Quality control; Universities and colleges; Zoology; Iberian Peninsula; Spain; Iberian Peninsula; entomological collections; Opiliones; Arthropoda; biodiversity collections; datasets; distribution; Portugal; Spain
• ISSN: 1313-2989; 1313-2970
• DOI: 10.3897/zookeys.341.6130

There are significant gaps in accessible knowledge about the distribution and phenology of Iberian harvestmen (Arachnida: Opiliones). Harvestmen accessible datasets in Iberian Peninsula are unknown, an only two other datasets available in GBIF are composed exclusively of harvestmen records. Moreover, only a few harvestmen data from Iberian Peninsula are available in GBIF network (or in any network that allows public retrieval or use these data). This paper describes the data associated with the Opiliones kept in the BOS Arthropod Collection of the University of Oviedo, Spain (hosted in the Department of Biología de Organismos y Sistemas), filling some of those gaps. The specimens were mainly collected from the northern third of the Iberian Peninsula. The earliest specimen deposited in the collection, dating back to the early 20(th) century, belongs to the P. Franganillo Collection. The dataset documents the collection of 16,455 specimens, preserved in 3,772 vials. Approximately 38% of the specimens belong to the family Sclerosomatidae, and 26% to Phalangidae; six other families with fewer specimens are also included. Data quality control was incorporated at several steps of digitisation process to facilitate reuse and improve accuracy. The complete dataset is also provided in Darwin Core Archive format, allowing public retrieval, use and combination with other biological, biodiversity of geographical variables datasets.