Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

11

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

11 results for “Trithemis”

Learn how ShareScore rates datasets ↗
zenodo40/100

Fig. 1 in Primera cita de Trithemis kirbyi Sélys, 1891 (Odonata: Libellulidae) en la provincia de Toledo (Castilla-La Mancha, España).

Fig. 1 - Hembra de Trithemis kirbyi, Villacañas (Toledo), 16/09/2016. Fotografía de Alfonso Álvarez.

opencc-by-4.0Dec 2017View details →
zenodo40/100

Fig. 2 in Primera cita de Trithemis kirbyi Sélys, 1891 (Odonata: Libellulidae) en la provincia de Toledo (Castilla-La Mancha, España).

Fig. 2 - Hembra de Trithemis kirbyi, Villacañas (Toledo), 19/09/2016. Fotografía de Alfonso Álvarez.

opencc-by-4.0Dec 2017View details →
zenodo40/100

Fig. 3 in First records of Trithemis kirbyi Selys, 1891 in the Maltese Islands (Odonata: Libellulidae)

Fig. 3 – Male Trithemis kirbyi photographed at Chadwick Lakes, Malta. 13 Aug 2020. Second record for the Maltese Islands.

opencc-by-4.0Nov 2021View details →
zenodo40/100

Fig. 1 in First records of Trithemis kirbyi Selys, 1891 in the Maltese Islands (Odonata: Libellulidae)

Fig. 1 – Male Trithemis kirbyi photographed at Imselliet Valley, Malta. 17 May 2020. First record for the Maltese Islands.

opencc-by-4.0Nov 2021View details →
zenodo40/100

Fig. 2 in Nuevas citas de Brachythemis impartita (Karsch, 1890) y Trithemis kirbyi Sélys, 1891 en la provincia de Salamanca (centro-oeste Península Ibérica) (Odonata: Libellulidae).

Fig. 2.- Macho imago de Brachythemis impartita en el azud de Riolobos (UTM 30TUL04, Villar de Gallimazo). Ọ Miguel Rodríguez-Esteban.

opencc-by-4.0Apr 2020View details →
dryad40/100

What you sample is what you get: ecomorphological variation in Trithemis (Odonata, Libellulidae) dragonfly wings reconsidered

Abstract Background The phylogenetic ecology of the Afro-Asian dragonfly genus Trithemis has been investigated previously by Damm et al. (in Mol Phylogenet Evol 54:870–882, 2010) and wing ecomorphology by Outomuro et al. (in J Evol Biol 26:1866–1874, 2013). However, the latter investigation employed a somewhat coarse sampling of forewing and hindwing outlines and reported results that were at odds in some ways with expectations given the mapping of landscape and water-body preference over the Trithemis cladogram produced by Damm et al. (in Mol Phylogenet Evol 54:870–882, 2010). To further explore the link between species-specific wing shape variation and habitat we studied a new sample of 27 Trithemis species employing a more robust statistical test for phylogenetic covariation, more comprehensive representations of Trithemis wing morphology and a wider range of morphometric data-analysis procedures. Results Contrary to the Outomuro et al. (in J Evol Biol 26:1866–1874, 2013) report, our results indicate that no statistically significant pattern of phylogenetic covariation exists in our Trithemis forewing and hindwing data and that both male and female wing datasets exhibit substantial shape differences between species that inhabit open and forested landscapes and species that hunt over temporary/standing or running water bodies. Among the morphometric analyses performed, landmark data and geometric morphometric data-analysis methods yielded the worst performance in identifying ecomorphometric shape distinctions between Trithemis habitat guilds. Direct analysis of wing images using an embedded convolution (deep learning) neural network delivered the best performance. Bootstrap and jackknife tests of group separations and discriminant-function stability confirm that our results are not artifacts of overtrained discriminant systems or the "curse of dimensionality" despite the modest size of our sample. Conclusion Our results suggest that Trithemis wing morphology reflects the environment's "push" to a much greater extent than phylogeny's "pull". In addition, they indicate that close attention should be paid to the manner in which morphologies are sampled for morphometric analysis and, if no prior information is available to guide sampling strategy, the sample that most comprehensively represents the morphologies of interest should be obtained. In many cases this will be digital images (2D) or scans (3D) of the entire morphology or morphological feature rather than sparse sets of landmark/semilandmark point locations.

opencc-zeroSep 2021View details →
dryad40/100

What you sample is what you get: ecomorphological variation in Trithemis (Odonata, Libellulidae) dragonfly wings reconsidered

Open the record for dataset details and reuse information.

publicJun 2022View details →
zenodo36/100

Fig. 2 in First records of Trithemis kirbyi Selys, 1891 in the Maltese Islands (Odonata: Libellulidae)

Fig. 2 – The reservoir at Imselliet Valley where the first Trithemis kirbyi in Malta was sighted.

opencc-by-4.0Nov 2021View details →
zenodo32/100

Photo 2. Sandy forest stream near Moyabi, Gabon. Habitat of Umma gumma, Paragomphus dispar and Trithemis legrandi. Photo: JK (24-ix-2013). In: Sixty new dragonfly and damselfly species from Africa (Odonata)

<p>uploaded for Odonatologica by Plazi</p>

opencc-zeroNov 2015View details →
zenodo32/100

Fig. 3 in A dragonfly in the desert: genetic pathways of the widespread Trithemis arteriosa (Odonata: Libellulidae) suggest male-biased dispersal

Fig. 3 Bayesian analysis of the nuclear genetic structure of T. arteriosa populations based on eight microsatellite loci. Each vertical bar represents an individual and is partitioned into one to three coloured segments indicating the individual membership in the three genetic

opennotspecifiedMar 2012View details →
zenodo20/100

Fig. 1 in A dragonfly in the desert: genetic pathways of the widespread Trithemis arteriosa (Odonata: Libellulidae) suggest male-biased dispersal

Fig. 1 Sampling localities in Namibia and Kenya (left) with a detailed map of Namibia (right) illustrating the ephemeral river catchments and the geological relief. N Numbers of individuals for each population.

opennotspecifiedMar 2012View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.