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.
8
datasets available to search
ShareScore release 0.9.0
Dataset results
8 results for “semi-aquatic bugs”
Fig. 1 in Evolution of the semi-aquatic bugs (Hemiptera: Heteroptera: Gerromorpha) with a re-interpretation of the fossil record
Fig. 1. Phylogenetic tree for the families of Gerromorpha and subfamilies of Hydrometridae, Veliidae and Gerridae summarized from DAMGAARD (in press). Temporal distribution of fossils indicated by heavy branches; unbroken branches denote range extensions inferred from fossils; broken branches denote range extension inferred from sister group relationships.
Data set and analytic codes supporting "Length-biomass equations to allow rapid assessment of semi-aquatic bug biomass in tropical streams"
<p>Body size and biomass data of semi-aquatic bugs (Gerromorpha, Hemiptera) collected in a range of habitat types (oil palm, oil palm with buffer, logged forest, and old-growth forest) in the SAFE Project (Stability of Altered Forest Ecosystems) experimental area, Maliau Basin, and Danum Valley. The sites are located in Sabah, Malaysia. In this study, we developed length-biomass equations to estimate the biomass of semi-aquatic bugs.</p>
Data set and analytic codes supporting "The effects of land-use change on semi-aquatic bugs (Gerromorpha, Hemiptera) in rainforest streams in Sabah, Malaysia"
<p>This deposit contains data set and analytic codes** (accompanied with a meta data) supporting "The effects of land-use change on semi-aquatic bugs (Gerromorpha, Hemiptera) in rainforest streams in Sabah, Malaysia". We investigated the impacts of land-use change on semi-aquatic bug (Gerromorpha, Hemiptera) communities in Sabah, Malaysia.</p> <p>Semi-aquatic bugs were collected from streams in old-growth forest, logged forest, and oil palm with and without riparian buffer strips. A range of environmental parameters were also collected to represent environmental conditions (associated with land-use change). Environmental data were collected at catchment, riparian, and stream scales, and were used separately for the assessments of their effects on the bugs. We looked at the effects on the abundance, biomass, species richness, and community composition of semi-aquatic bugs. We also assessed the effects on the proportion of juveniles, winged individuals, and female <em>Ptilomera</em> sp. (a morphospecies with clear sexual dimorphism in this study).</p> <p>This research was funded by the Jardine Foundation, the Cambridge Trust, the Natural Environment Research Council (NERC) (studentship 1122589), Proforest, the Varley Gradwell Travelling Fellowship, the Tim Whitmore Fund, the Panton Trust, the Cambridge University Commonwealth Fund, the Hanne and Torkel Weis-Fogh Fund, and the S.T. Lee Fund.</p> <p> </p> <p>** For reproducibility of outputs of the Canonical Correspondence Analysis (CCA), do insert the following function in the R Markdown before the line of "anova.cca(CCAEnvInsect, by = 'terms', first = TRUE)":</p> <p>set.seed(42) # About set.seed: <a href="https://stackoverflow.com/questions/13605271/reasons-for-using-the-set-seed-function">r - Reasons for using the set.seed function - Stack Overflow</a></p>
Data from: Molecular data and ecological niche modeling reveal the Pleistocene history of a semi-aquatic bug (Microvelia douglasi douglasi) in East Asia
Open the record for dataset details and reuse information.
Data from: Diversity in morphology and locomotory behavior is associated with niche expansion in the semi-aquatic bugs
Acquisition of new ecological opportunities is a major driver of adaptation and species diversification [ 1–4 ]. However, how groups of organisms expand their habitat range is often unclear [ 3 ]. We study the Gerromorpha, a monophyletic group of heteropteran insects that occupy a large variety of water surface-associated niches, from small puddles to open oceans [ 5, 6 ]. Due to constraints related to fluid dynamics [ 7–9 ] and exposure to predation [ 5, 10 ], we hypothesize that selection will favor high speed of locomotion in the Gerromorpha that occupy water-air interface niches relative to the ancestral terrestrial life style. Through biomechanical assays and phylogenetic reconstruction, we show that only species that occupy water surface niches can generate high maximum speeds. Basally branching lineages with ancestral mode of locomotion, consisting of tripod gait, achieved increased speed on the water through increasing midleg length, stroke amplitude, and stroke frequency. Derived lineages evolved rowing as a novel mode of locomotion through simultaneous sculling motion almost exclusively of the midlegs. We demonstrate that this change in locomotory behavior significantly reduced the requirement for high stroke frequency and energy expenditure. Furthermore, we show how the evolution of rowing, by reducing stroke frequency, may have eliminated the constraint on body size, which may explain the evolution of larger Gerromorpha. This correlation between the diversity in locomotion behaviors and niche specialization suggests that changes in morphology and behavior may facilitate the invasion and diversification in novel environments.
Data set and analytic codes supporting "The impacts of within-stream physical structure and riparian buffer strips on semi-aquatic bugs in Southeast Asian oil palm"
<p>This deposit contains data set and analytic codes (accompanied with a meta data) supporting "The impacts of within-stream physical structure and riparian buffer strips on semi-aquatic bugs in Southeast Asian oil palm". We assessed the impacts of within-stream physical structure and riparian buffer strips on semi-aquatic bug (Gerromorpha, Hemiptera) communities in oil palm streams in Sabah, Malaysia. Collections of semi-aquatic bugs were conducted from oil palm with and without riparian buffer strips.</p> <p>Several environmental parameters were collected to represent within-stream physical structure. We investigated the impacts on the abundance, biomass, species richness, and community composition of semi-aquatic bugs. Additionally, we studied the effects on the proportion of juveniles as well as female <em>Ptilomera</em> sp. (a morphospecies with clear sexual dimorphism in this study).</p> <p>This research was funded by the Jardine Foundation, the Cambridge Trust, the Natural Environment Research Council (NERC) (studentship 1122589), Proforest, the Varley Gradwell Travelling Fellowship, the Tim Whitmore Fund, the Panton Trust, the Cambridge University Commonwealth Fund, the Hanne and Torkel Weis-Fogh Fund, and the S.T. Lee Fund.</p>
Data from: Diversity in morphology and locomotory behavior is associated with niche expansion in the semi-aquatic bugs
Open the record for dataset details and reuse information.
Data from: The achaete-scute complex contains a single gene that controls bristle development in the semi-aquatic bugs
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.