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.

7

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

7 results for “trophic specialisations”

Learn how ShareScore rates datasets ↗
dryad36/100

The non-dereliction in evolution: Trophic specialisation drives convergence in the radiation of red devil spiders (Araneae: Dysderidae) in the Canary Islands

<p>Natural selection plays a key role in deterministic evolution, as clearly illustrated by adaptive radiations. Unlike most spiders, <em>Dysdera</em> species display a high variability of cheliceral morphologies, which has been suggested to reflect different levels of specialisation to feed on isopods. In this study, we integrate geometric morphometrics and experimental trials with a fully resolved phylogeny of the highly diverse endemic species from the Canary Islands to (1) characterize cheliceral morphologies, (2) unravel their dietary function, (3) examine if they evolved multiple times independently (4) verify whether convergent evolution of morphotypes has occurred and (5) test if specialization could lead to evolutionary irreversibility. We show the existence of nine cheliceral morphotypes and uncovered their significance for trophic ecology. Further, we demonstrate that similar ecomorphs evolved multiple times in the archipelago, providing a novel study system to explain how convergent evolution and irreversibility due to specialization may be combined to shape phenotypic diversification in adaptive radiations.</p>

opencc-zeroApr 2022View details →
dryad36/100

The non-dereliction in evolution: Trophic specialisation drives convergence in the radiation of red devil spiders (Araneae: Dysderidae) in the Canary Islands

Open the record for dataset details and reuse information.

publicApr 2023View details →
zenodo32/100

Fig. 3 in Tracing the evolution of trophic specialisation and mode of attack behaviour in the ground spider family Gnaphosidae

Fig. 3 Relationship between the probability of using silk (rather than biting) for the immobilization of prey and the prey-to-predator body size ratio (ratio of total body size of prey to prosoma length of spider). Data were based on five species (Asemesthes ceresicola, Drassodes lapidosus, Gnaphosa lusifuga, Hemicloea sundevalli, and Pterotricha sp). The estimated logit model is shown with a 95% confidence band (grey area)

opennotspecifiedAug 2020View details →
zenodo32/100

Fig. 1 in Tracing the evolution of trophic specialisation and mode of attack behaviour in the ground spider family Gnaphosidae

Fig. 1 Comparison of the relative frequencies of the capture (i.e., killing) of ants, spiders, and flies among gnaphosid and several non-gnaphosid genera (see Tables 1 and 2 for species names) observed in this study (a) and extracted from the literature (b). Numbers after bars represent

opennotspecifiedAug 2020View details →
zenodo32/100

Fig. 5 in Tracing the evolution of trophic specialisation and mode of attack behaviour in the ground spider family Gnaphosidae

Fig. 5 Bayesian hypothesis for the phylogenetic relationships of the study species based on the combined dataset of 6056 characters (5808 bp + 248 morphological characters). Posterior probabilities are shown above nodes; bootstrap values (&gt; 50) are below nodes. Nongnaphosid species are displayed with their family names (in capitals).

opennotspecifiedAug 2020View details →
zenodo32/100

Fig. 2 in Tracing the evolution of trophic specialisation and mode of attack behaviour in the ground spider family Gnaphosidae

Fig. 2 Comparison of the relative frequencies of the use of immobilization strategies (by silk or biting) for flies, spiders, and ants among gnaphosid and several non-gnaphosid genera (see Tables 1

opennotspecifiedAug 2020View details →
dryad28/100

Data from: Trophic specialisation drives morphological evolution in sea snakes

Open the record for dataset details and reuse information.

publicFeb 2018View 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.