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.
44
datasets available to search
ShareScore release 0.9.0
Dataset results
44 results for “morphology control”
Controlling the Dewetting Morphologies of Thin Liquid Films by Switchable Substrates
<p>Data and scripts for the creation of the data used in the publication: "Controlling the dewetting morphologies of thin liquid films by switchable substrates" in Phys. Rev. Fluids.</p>
On the Role of Physical Processes in Controlling Equatorial Plasma Bubble Morphology
<p>Dataset for the paper entitled "On the Role of Physical Processes in Controlling Equatorial Plasma Bubble Morphology" submitted to the Journal of Geophysical Research: Space Physics.</p>
Fig. 7 in Morphology of the female reproductive system and physiological age-grading of Megamelus scutellaris (Hemiptera: Delphacidae), a biological control agent of water hyacinth
Fig. 7. Number of eggs ovulated by adult females of Megamelus scutellaris correlated by a) age (days) and b) collar length (mm). The solid line represents the linear relationship between variables and the dashed lines is the 95% confidence interval (n = 15; P = 0.001 and r = 0.778).
Fig. 6. The 3 in Morphology of the female reproductive system and physiological age-grading of Megamelus scutellaris (Hemiptera: Delphacidae), a biological control agent of water hyacinth
Fig. 6. The 3 parous classes of Megamelus scutellaris. The P1 class (a and b) is characterized by the presence of follicular relics, which may not be present in some or all ovarioles, may be light in coloration and may or may not encircle the base of the ovariole. The follicular relics do not occur at high enough densities to cause an expansion or bulging. The collar may or may not be visible and does not extend past the follicular relic accumulation area. In the P2 class (c and d) follicular relics are present in all ovarioles and at high enough densities to cause bulging. They are distinctly yellow in coloration and relatively darker in comparison to those found in the P1 class. The collar is easily seen and typically extends past the follicular accumulation area. In the P3 class (e and f) follicular relics are variable, may or may not be in high enough densities to cause bulging, and typically completely encircle the base. The collar length easily surpasses the follicular relic accumulation area.
Fig. 4 in Morphology of the female reproductive system and physiological age-grading of Megamelus scutellaris (Hemiptera: Delphacidae), a biological control agent of water hyacinth
Fig. 4. Follicular relic formation and appearance in the distal area of an ovariole and anterior lateral oviduct (loa) with the germinal vesicle (gv), oocyte with yolk (oy), follicular epithelium (fe) beginning to slough off into the ovariole base (as shown by the arrow), follicular relics (fr), and collar in Megamelus scutellaris. Note the granular appearance of follicular relics having a high enough density to begin to expand or bulge the sides of the lateral oviduct.
Fig. 2 in Morphology of the female reproductive system and physiological age-grading of Megamelus scutellaris (Hemiptera: Delphacidae), a biological control agent of water hyacinth
Fig. 2. Photomicrographs of the female reproductive system of Megamelus scutellaris showing a) distal portion of the ovary showing the distal lateral oviduct (lop), common oviduct (co), bursa copulatrix (b), and spermatheca/spermathecal gland (spt and sptg, respectively), and b) close-up of ovariole morphology (b) showing the anterior lateral oviduct (loa), germarium (g), vitellarium (v), and terminal filament (tf).
Fig. 1 in Morphology of the female reproductive system and physiological age-grading of Megamelus scutellaris (Hemiptera: Delphacidae), a biological control agent of water hyacinth
Fig. 1. Photomicrograph of the female reproductive system of Megamelus scutellaris showing ovaries (ov), common oviduct (c), anterior and posterior portions of the lateral oviduct (loa and lop, respectively), and overall structure of a follicle including the germinal vesicle (gv) and oocyte with yolk (oy).
Fig. 3 in Morphology of the female reproductive system and physiological age-grading of Megamelus scutellaris (Hemiptera: Delphacidae), a biological control agent of water hyacinth
Fig. 3. Photomicrographs of the female reproductive system of Megamelus scutellaris showing a) close-up of the distal portion of an ovariole showing the anterior lateral oviduct (loa), follicular epithelium (fe), ovariole sheath (os), germinal vesicle (gv), oocyte with yolk (oy), and collar (c), and b) distal portion of an ovariole showing a newly ovulated egg (e) into the anterior lateral oviduct (loa), ovary (ov), ovariole (lov), and the collar (c).
Fig. 5. The 3 in Morphology of the female reproductive system and physiological age-grading of Megamelus scutellaris (Hemiptera: Delphacidae), a biological control agent of water hyacinth
Fig. 5. The 3 nulliparous stages of Megamelus scutellaris. a) N1—Note the lack of differentiation in the vitellarium (v) and large size of the germarium (g) in comparison to the vitellarium. b) N2—In this stage the ovarioles are fully differentiated, no fully mature follicles, and no follicular relics. c and d) N3—In this stage the ovarioles are fully differentiated, no follicular relics are present, and at least 2 follicles are mature and ready to be ovulated as indicated by darkening of the interior of the oocyte by yolk deposition.
Evolutionary stasis, ecophenotypy, and environmental controls on ammonite morphology in the Late Cretaceous (Maastrichtian) Western Interior Seaway, USA
<p class="Abstract">We test for the presence of evolutionary stasis in a species of Late Cretaceous ammonoid cephalopod, <i>Hoploscaphites nicolletii</i>, from the North American Western Interior Seaway. A comprehensive dataset of morphological traits was compiled across the entire spatial and temporal range of this species. These were analyzed in conjunction with sedimentologically and geochemically derived palaeoenvironmental conditions hypothesized to apply selective pressures. All changes in shell shape were observed to be ephemeral and reversable, that is, no unidirectional trend could be observed in any of the morphological traits analyzed. Correlations between palaeoenvironmental conditions and morphological traits suggests ecophenotypic processes were at play, however, either environmental changes were too minor and/or provided no isolating mechanism to drive speciation. These data support mechanisms of stasis such as homogenizing gene flow or stabilising selection under a fluctuating optimum (likely reflecting spatiotemporally heterogeneous palaeoenvironmental conditions). Finally, changes in shell size were not significantly associated with changes in shell-specific δ<sup>18</sup>O, despite a correlation between shell size and δ<sup>18</sup>O averaged across horizons. This suggests a mismatch in scales of geochemical sampling that supports caution when making broad interpretations based on averaged geochemical data.</p>
Repository of "How Stress Biaxiality Controls Crack Morphology and Apparent Fracture Energy of Dikes and Sills"
<p>This repository contains the dataset of the future publication "How Stress Biaxiality Controls Crack Morphology and Apparent Fracture Energy of Dikes and Sills". It contains:</p> <ul> <li>1 file recapitulating sample dimensions and informations on the tests.</li> <li>12 “raw” mechanical results of experiments on Carrara marble (6 WST — 3 dry/3 saturated tests, 6 MRT — 3 dry/3 saturated tests) with minimal filtering.</li> <li>12 “computed” mechanical results of experiments on Carrara marble (6 WST — 3 dry/3 saturated tests, 6 MRT — 3 dry/3 saturated tests) with the use of the compliance method.</li> <li>2 compressed and stitched back-scattered SEM scans imaging the crack tip in xz direction after crack arrest on WST and MRT.</li> <li>5 stitched back-scattered SEM scans imaging the crack in yz direction on WST at 20, 40, 60 mm MRT at 10, 25 mm of crack propagation.</li> </ul> <p>For more details and information about the dataset, do not hesitate to contact me at antoine.guggisberg@epfl.ch</p> <p> </p>
Data and model output for "Evidence of subsurface control on the coevolution of hillslope morphology and runoff generation"
<p>Data, model output, and scripts supporting the manuscript:</p> <p>Litwin, D. G., & Harman, C. J. (2024) Evidence of subsurface control on the coevolution of hillslope morphology and runoff generation. <em>Water Resources Research</em>, 60, e2024WR037301. https://doi.org/10.1029/2024WR037301</p>
Extreme Flood Sediment Production and Export Controlled by Reach-scale Morphology
<p>Output data resulting from the analysis of the morphological impact of the 30<sup>th</sup> July 2019 flood event on the catchments of Slei Gill, Grinton Beck and Barney Beck, located in Upper Swaledale, North Yorkshire, UK. The data comprise processed DEMs of Difference (DoDs) calculated from pre- and post-event topography, simulations of maximum water depth for each catchment derived from modelling within HEC-RAS v2.6.1, and point clouds of the post-event topography.</p>
Data for the manuscript 'Cover crop root morphology rather than quality controls the fate of root and rhizodeposition C into distinct soil C pools'
<p><strong>Data for manuscript</strong></p> <p>The data provided in the present document corresponds to the manuscript:</p> <p>Engedal, T., Magid, J., Hansen, V., Rasmussen, J., Sørensen, H., Jensen, L. S. (2023): Cover crop root morphology rather than quality controls the fate of root and rhizodeposition C into distinct soil C pools. <em>Global Change Biology, in press</em>.</p> <p> </p> <p><strong>Short abstract</strong></p> <p>In order to investigate the fate of cover crop-derived belowground C as rhizodeposition and, over time, into the distinct soil organic carbon pools of particulate- and mineral-associated organic carbon (POC and MAOC), a column trial was esblished with 0.25 m top soil and 0.25 m sub soil. Four cover crops were grown for 3 months and 14CO2-labelled twice a week. Four out of eight replicate columns were destructively harvested to quantify root C and the carbon lost via rhizodeposition in absolute (qClvR) and relative terms (%ClvR) in bulk soil and rhizosphere soil from top- and subsoil (t1). The other four replicate columns were harvested for undisturbed incubation for one year, before final sampling (t2). Bulk soil from both sampling times were subject to a simple fractionation protocol by size, where particles larger from 50 microns were assigned to POC and smaller than 50 microns assigned to MAOC after dispersion in NaHMP. All fractions were dried, weighed and analyzed for 14C activity as disintegrations per minute (DPM).</p> <p> </p> <p><strong>Further details</strong></p> <p>Column ID 1-16 refer to columns sampled at t1, while column ID 17-32 refer to columns sampled at t2. Underlying assumptions and detailed descriptions of the different fractions are to be found in the manuscript.</p>
Evolutionary stasis, ecophenotypy, and environmental controls on ammonite morphology in the Late Cretaceous (Maastrichtian) Western Interior Seaway, USA
Open the record for dataset details and reuse information.
Data from: Different phylogenetic and environmental controls of first-order root morphological and nutrient traits: evidence of multidimensional root traits
Open the record for dataset details and reuse information.
Supplementary videos for "Interplay Between Convective and Viscoelastic Forces Controls the Morphology of in vitro Paclitaxel- Stabilized Microtubules"
<p>Supplementary videos for MDPI Crystals manuscript "Interplay Between Convective and Viscoelastic Forces Controls the Morphology of in <em>vitro</em> Paclitaxel- Stabilized Microtubules "</p>
Data from: Cushion plant morphology controls biogenic capability and facilitation effects of Silene acaulis along an elevation gradient
The stress-gradient hypothesis (SGH) predicts that the balance of plant–plant interactions shifts along abiotic environmental gradients, with facilitation becoming more frequent under stressful conditions. However, recent studies have challenged this perspective, reporting that positive interactions are, in some cases, more common at the intermediate level of environmental severity gradients. Here, we test whether and how neighbour effects by Silene acaulis cushions vary along a 700 m wide altitudinal transect, in relation to cushion morphological traits and environmental severity. Field measurements along the gradient, within and outside cushions, included (i) species richness and cover of coexisting vascular plants; (ii) cushion morphology; (iii) above- and below-ground microclimate; and (iv) soil quality. We used the relative interaction index to decouple neighbour trait effects and environmental severity effects on plant diversity at different elevations. The ability of the cushion plant to facilitate heterospecifics shifts considerably along the elevation gradient, being greatest at the intermediate level. On the other hand, Silene morphological traits steadily change along the gradient, from lax, soft and flat-shaped cushion habits at low elevation to tightly knit and dome-shaped habits at high elevation. Cushion morphological changes are associated with mitigating effects on microclimate, indicating that cushions effectively act as a heat-trap at medium and high elevations, while at low elevations the soft and flat cushions avoid excessive heat accumulation by tight coupling with the surrounding atmosphere. At the upper end of the gradient, cushion cespitose–pulvinate compactness and high stem density appear to be critical traits in modulating the net effect of plant–plant interaction, since the space available for hosting other vascular species is considerably reduced. In conclusion, this work provides a mechanistic link between plant morphological traits, associated biogenic microclimate changes and variation in net plant–plant interactions along the explored severity gradient. Our findings support an alternative conceptual model to SGH, with plant facilitation collapsing at the upper extreme of the abiotic stress gradient.
Scalable Co-Optimization of Morphology and control in Embodied Machines
<p>Raw Data for: Scalable Co-Optimization of Morphology and control in Embodied Machines</p> <p>Trials from Nov 2, 2015 represent phase offset controllers for resolution 1000 (10^3), trails from Nov 9, 2015 represent phase offset controllers of resolution 125 (5^3), and trails from 2016 represent neural network controllers with resolutions 1000 (10^3). </p> <p>This data was produced by the code found at: https://github.com/ncheney/morphological-innovation-protection</p>
Controls of Grain Breakage on Shear Band Morphology and Permeability Evolution in Fault Gouges
<p>The simulations are designed and run within the software platform PFC (https://www.itascacg.com/software/PFC). The data set is composed of results of two-dimensional (2D) Discrete Element Method (DEM) modeling performed by Li et al., with the licensed commercial <em>Particle Flow Code </em>2D version 6.0 (PFC2D 6.0) from Itasca Consulting Group, Ltd. </p>
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.