Eucryptorrhynchus khasiensis Devi, Dey & Ray 2016

Eucryptorrhynchus khasiensis Devi, Dey & Ray, 2016 (Figs. 1E, F, 2E, F) Material examined. CHINA, Yunnan: 1 male (ex. 1; accession number: PP697491) (TARI), Bangda [fflṁ], Mang City, coll. Y-T Wang, 8 September 2015. Distribution. India (Khasi hills) (Devi et al., 2016). New record: China (Yunnan). Identification key. We provided a revised identification key that covers five of the six described Eucryptorrhynchus species. For the morphological comparisons of two species, E. papuanus and E. cenninii, we had to rely on the original descriptions due to the unavailability of specimens for examination. Additionally, we were unable to include E. intermedius in the key, due to the unavailability of specimens for examination and the limited information available in the original description of this species.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-20
DOI
https://doi.org/10.5281/zenodo.14683131
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
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article

Eucryptorrhynchus khasiensis Devi, Dey & Ray 2016

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Bioinformatics
article

Eucryptorrhynchus khasiensis Devi, Dey & Ray 2016

article en

Abstract

Eucryptorrhynchus khasiensis Devi, Dey & Ray, 2016 (Figs. 1E, F, 2E, F) Material examined. CHINA, Yunnan: 1 male (ex. 1; accession number: PP697491) (TARI), Bangda [fflṁ], Mang City, coll. Y-T Wang, 8 September 2015. Distribution. India (Khasi hills) (Devi et al., 2016). New record: China (Yunnan). Identification key. We provided a revised identification key that covers five of the six described Eucryptorrhynchus species. For the morphological comparisons of two species, E. papuanus and E. cenninii, we had to rely on the original descriptions due to the unavailability of specimens for examination. Additionally, we were unable to include E. intermedius in the key, due to the unavailability of specimens for examination and the limited information available in the original description of this species.

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
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Machine Learning in Bioinformatics
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