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 “wall conditioning”
Development and analysis of entropy stable no-slip wall boundary conditions for the Eulerian model for viscous and heat conducting compressible flows
<p>The database used in the submission of "Development and analysis of entropy stable no-slip wall boundary conditions implementation of the Eulerian model for viscous and heat conducting compressible flows."</p> <p>Abstract: Nonlinear entropy stability analysis is used to derive entropy stable no-slip wall boundary conditions for the Eulerian model proposed by Svärd ( <em>Physica A: Statistical Mechanics and its Applications, 2018 </em>). and its spatial discretization based on entropy stable collocated discontinuous Galerkin operators with the summation-by-parts property for unstructured grids. A set of viscous test cases of increasing complexity are simulated using both the Eulerian and the classic compressible Navier–Stokes models. The numerical results obtained with the two models are compared, and differences and similarities are then highlighted.</p>
Cyclic test data of six unreinforced masonry walls with different boundary conditions
<p>Previous test data on unreinforced masonry walls focused on the global response of the wall. A new dataset on six wall tests, which is publically available, allows linking global to local deformations of masonry walls, which can be useful for advancing performance-based design and assessment methods for unreinforced masonry buildings. This data paper presents the<br> results of a test series on six identical unreinforced masonry walls that were constructed using hollow clay brick units and standard cement-based mortar.<br> The test units were subjected to quasi-static cycles of increasing drift demands and the tests differed with regard to the applied axial load and the moment restraint applied at the top of the walls. The walls were tested up to failure. Throughout the loading the deformations of the walls were recorded using a digital photogrammetric measurement system tracking the movement of 312 points per test unit.</p>
Experimental data: Single- and double-wythe brick masonry walls subjected to four-point bending tests under different support conditions: Simply supported, rigid, non-rigid
<p>This dataset contains the results of laboratory quasi-static monotonic four-point bending tests conducted at RISE Research Institutes of Sweden on eleven natural-scale unreinforced brick masonry walls. The walls were spanning vertically between two reinforced concrete slabs and were tested under three different support conditions defined according to the American manual UFC 3-340-02: simply supported, rigid, non-rigid. The influence of these support conditions on the out-of-plane behavior of the walls was studied on elements with varying thickness – single and double wythe – and subjected to different levels of axial compression (or overload). The walls were tested inside of a bi-axial test setup that allowed not only the lateral, out-of-plane force but also the axial, arching action to be measured throughout the tests. Optical full-field displacement measurements were also acquired by two systems of cameras making use of the 2D and 3D Digital Image Correlation (DIC) technique.</p> <p>The data generated from these tests are made here available to support further investigations on masonry structures subjected to extreme lateral, out-of-plane actions. The dataset includes 3 compressed folders, ordered from 01 to 03, along with an auxiliary document describing the content and organization of the dataset. </p> <p>The data presented here are described in the following research article:</p> <blockquote> <p><a href="https://www.sciencedirect.com/science/article/pii/S0950061823022602?via%3Dihub">Godio M, Flansbjer M, Williams Portal N (2023). Single- and double-wythe brick masonry walls subjected to four-point bending tests under different support conditions: simply supported, rigid, non-rigid, Construction and Building Materials</a></p> </blockquote> <p>To cite this dataset, please refer to the article.</p> <p>The Authors</p>
Nutrient conditions mediate mycorrhizal effects on biomass production and cell wall chemistry in poplar
<p> Large-scale biofuel production from lignocellulosic feedstock is limited by the financial and environmental costs associated with growing and processing lignocellulosic material and the resilience of these plants to environmental stress. Symbiotic associations with arbuscular (AM) and ectomycorrhizal (EM) fungi represent a potential strategy for expanding feedstock production while reducing nutrient inputs. Comparing AM and EM effects on wood production and chemical composition is a necessary step in developing biofuel feedstocks. Here, we assessed the productivity, biomass allocation and secondary cell wall (SCW) composition of greenhouse-grown Populus tremuloidesMichx. inoculated with either AM or EM fungi. Given the long-term goal of reducing nutrient inputs for biofuel production, we further tested the effects of nutrient availability and nitrogen: phosphorus stoichiometry on mycorrhizal responses. Associations with both AM and EM fungi increased plant biomass by 14–74% depending on the nutrient conditions but had minimal effects on SCW composition. Mycorrhizal plants, especially those inoculated with EM fungi, also allocated a greater portion of their biomass to roots, which could be beneficial in the field where plants are likely to experience both water and nutrient stress. Leaf nutrient content was weakly but positively correlated with wood production in mycorrhizal plants. Surprisingly, phosphorus played a larger role in EM plants compared with AM plants. Relative nitrogen and phosphorus availability were correlated with shifts in SCW composition. For AM associations, the benefit of increased wood biomass may be partially offset by increased lignin content, a trait that affects downstream processing of lignocellulosic tissue for biofuels. By comparing AM and EM effects on the productivity and chemical composition of lignocellulosic tissue, this work links broad functional diversity in mycorrhizal associations to key biofuel traits and highlights the importance of considering both biotic and abiotic factors when developing strategies for sustainable biofuel production.</p>
Effect of magnetic configuration on real-time wall conditioning in DIII-D
<p>Using EMC3-EIRENE modeling, the impact of parallel impurity forces on the edge transport of injected material and ionized impurities, including scrape-off layer (SOL) main ion flows, has been investigated. The study involved comparing impurity powder injections in different divertor configurations, namely DIII-D lower single null, upper single null, and double null configurations, with plasma edge transport and dust migration and ablation modeling. The injections, which were in powder and granular form, were conducted for real-time wall conditioning, ELM control, and divertor power exhaust at DIII-D [1]. Divertor configuration changes resulted in a redirection of SOL flows, which affected the conditioning of plasma-facing components on either the low field side or the high field side. Moreover, the injection location's poloidal shifts could modify the injected materials' penetration depths and trajectories in the plasma boundary. These changes had an impact on the local deposition of materials on plasma-facing components, which is essential for active conditioning and replenishment of functional coatings in future long-pulse scenarios.</p> <p>[1] F. Effenberg <em>et al</em> 2022 <em>Nucl. Fusion</em> <strong>62</strong> 106015 <strong>DOI</strong> 10.1088/1741-4326/ac899d</p>
Nutrient conditions mediate mycorrhizal effects on biomass production and cell wall chemistry in poplar
Open the record for dataset details and reuse information.
EMC3-EIRENE modeling of boron transport in DIII-D L-mode real-time wall conditioning experiments
<p>Observations from powder injection experiments in ASDEX-U and DIII-D showed improvements in the wall conditions in response to boron (B) or boron nitride (BN) injection in H-mode plasmas [1, 2]. Recent experiments have been performed in DIII-D to understand the physics of boron impurity transport during real-time wall conditioning via B powder injection. For this purpose, B powder was injected gravitationally in DIII-D at rates between 2-50 mg/s in 4 s flat top L-mode scenarios with the magnetic field in the unfavorable ∇B drift direction. Graphite and W-coated witness samples were introduced using the divertor material evaluation system (DiMES) for in-depth analysis of the deposited impurity layers.<br> Observations with a spectroscopically filtered camera showed evidence of striation patterns in the CII and BII emission on the divertor floor extending in the toroidal direction. Post-mortem analysis of the DiMES samples showed corresponding striation patterns alternating between strongly-coated and barely-coated regions. Secondary peaks in the divertor density and temperature obtained with Langmuir probes support the interpretation of a significant static magnetic perturbation affecting the scrape-off layer (SOL) background plasma and impurity transport during these experiments.<br> These effects visible in the SOL transport and plasma-surface interactions are investigated based on an analysis of potential error field effects and local source effects. First, the magnetic boundary and divertor footprints are analyzed based on equilibrium reconstruction, including static magnetic perturbations to account for known error fields. Then, the fully 3D plasma-fluid and kinetic edge neutral transport Monte-Carlo code EMC3-EIRENE is employed to resolve the effects of these error fields on SOL impurity transport and impurity fluxes onto the divertor. The structure and widths of the deposition patterns will be studied as a function of anomalous cross-field transport and impurity source location and compared with the experimental findings. This work will contribute to optimizing improvements in the wall conditions in response to B and BN powder injection recently observed on many confinement devices around the world [3, 4].</p> <p>[1] A. Bortolon et al., Nucl. Mater. and Energy, 384-389 (2019) 19</p> <p>[2] R. Lunsford et al., Nucl. Fusion 126034 (2019) 59</p> <p>[3] A. Nagy et al Rev. Sci. Instrum., 10K121 (2018) 89</p> <p>[4] R. Maingi et al., Nucl. Fusion, 024003 (2018) 58</p>
Differential gene expression in the body wall of the sea cucumber (Apostichopus japonicus) under strong lighting and dark conditions
GEO Series GSE87803. Apostichopus japonicus. 3 samples. Type: Expression profiling by high throughput sequencing.
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.