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.

9

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

9 results for “Reinforcing Steel”

Learn how ShareScore rates datasets ↗
zenodo44/100

GEOLAB-PEBSTER-Deltares: Small-scale experiments on Piled Embankments with Basal Steel Mesh Reinforcement - Measurements.

<p><strong>DOI: 10.5281/zenodo.12627309</strong></p> <h1><strong>Small-scale experiments on basal steel-mesh reinforced piled embankments (PEBSTER, a transnational access project of GEOLAB)</strong></h1> <p>Welcome to the GEOLAB-PEBSTER-Deltares project on Zenodo! This repository contains the measurement data from four small-scale experiments on Piled Embankments with Basal Steel Reinforcement (PEBSTER). Pile-supported (PS) embankments with basal geosynthetic reinforcement (GR) are commonly built in soft soil areas (van Eekelen and Han, 2020). Steel mesh reinforcement (SR) is particularly appealing for high embankments (Topolnicki et al., 2019). Its high axial stiffness, compared to geosynthetics, reduces horizontal deformation at the embankment base, minimizes bending moments in the piles, and ultimately enhances embankment stability.</p> <h2>PEBSTER</h2> <p>This dataset includes measurements from four small-scale tests on steel-reinforced piled embankments, conducted in the Deltares laboratory (van Eekelen et al., 2024a,b). These tests are part of a broader research initiative called Piled Embankments with Basal Steel Reinforcement (PEBSTER), which also includes a large-scale test (Schneider et al., 2024a,b). The small-scale tests were conducted at Deltares, Delft, Netherlands, while the large-scale test was conducted in Darmstadt, Germany, at the Institute of Geotechnics, Technical University of Darmstadt.</p> <h2>GEOLAB</h2> <p>GEOLAB is a project of the European Union&rsquo;s Horizon 2020 research and innovation program under Grant Agreement No. 101006512, addressing Europe's Critical Infrastructure (CI) challenges in the water, energy, urban, and transport sectors.</p> <p>The GEOLAB Research Infrastructure (RI) consists of 11 unique installations across Europe to study subsurface behavior and its interaction with structural CI elements and the environment. During the GEOLAB Transnational Access (TA), users outside the consortium gained access to the GEOLAB installations to perform research and innovation.</p> <h2>Dataset of four small-scale experiments</h2> <p>Here, we share the measurement data from the small-scale experiments that were part of one of the GEOLAB TA projects: PEBSTER. Four piles (diameter 0.1 m, centre to centre 0.55m) passed through a steel plate, that supported a foam cushion, that was sealed and soaked. A tap allowed for drainage of the foam cushion, simulating the consolidation of the subsoil between the piles. The 0.55 m high embankment consisted of medium coarse sand, and was reinforced at its base with a steel mesh reinforcement. A surcharge load up to 100 kPa was applied with a water cushion.<br><br><span>The load distribution is measured by pressure cells and load transducers. </span>Soil strains and displacements were monitored at five elevations within the fill, utilizing distributed fibre optic sensing (DFOS) technology from the Nerve-Sensors family, as depicted in Figure 2. Additionally, the steel mesh reinforcement was extensively instrumented with optic fibres.</p> <h2>PEBSTER Research group</h2> <p>The project was conducted by a research group that includes Deltares, Netherlands, the Institute of Geotechnics of the Technical University of Darmstadt, Germany, Keller (Germany, France, Poland), SHM System, Poland, and FOLAB, Germany.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2024View details →
zenodo40/100

Data publication: Virtual experiments for steel fiber reinforced high performance concrete (HPC)

<p>This data set contains all necessary inputs for the virtual experiments using an ellipsodal RVE for steel fiber reinforced high performance concrete (HPC), including discretization data, boundary conditions, material parameters and numerical results. The discretization is realized in terms of the finite element method.&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Monotonic Tensile Testing of Corroded Reinforcing Steel Bars Database

<p>The database presented here provides a collection of 1,387&nbsp;monotonic tensile tests performed on corroded reinforcing steel bars from 26 experimental programs available in the literature. The database includes 1,255 corroded reinforcing bars, 132 uncorroded control samples,&nbsp;19&nbsp;independent variables, and 17 dependent variables. Nine of the independent variables are categorical, and ten are numerical. 274 samples were naturally corroded, 271 were corroded under environmentally-induced conditions (typically salt-spray exposure), and 707 were corroded artificially under an impressed-current regime. All observations (individual bar tests) are statistically independent, as each data entry represents one independent test. Empty cells indicate non-reported variables.</p> <p>This database was compiled as part of the primary author's Ph.D. research for the purpose of predictive machine learning and empirical modeling. Published articles applying the database can be accessed at:</p> <ul> <li><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.conbuildmat.2024.137023" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.conbuildmat.2024.137023</a></li> <li><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.dibe.2024.100527" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.dibe.2024.100527</span></span></a></li> </ul> <p>Please see the accompanying User's Manual PDF for a complete description of the input and response variables, nomenclature, abbreviations, and formulations included in this database.&nbsp;</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Data publication: Simulation of macroscopic boundary value problems using phenomenological material model for steel fiber reinforced high performance concrete (HPC)

<p>This data set contains all necessary inputs for the Simulation of macroscopic boundary value problems using phenomenological material model, including boundary conditions, material parameters and numerical results. The discretization is realized in terms of the finite element method.&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

GEOLAB-PEBSTER-TU Darmstadt: Large-scale model test on Piled Embankments with Basal Steel Mesh Reinforcement - Measurements.

<h1><strong>Large-scale model test on basal steel-mesh reinforced piled embankments (PEBSTER, a transnational access project of GEOLAB)</strong></h1> <p>Welcome to the GEOLAB PEBSTER TU Darmstadt project on Zenodo! This repository contains the measurement data of the large-scale model test on Piled Embankments with a Basal Steel Reinforcement (PEBSTER). Pile-supported embankments with basal geosynthetic reinforcement are commonly built in soft soil areas. Steel mesh reinforcement is particularly appealing for high embankments (Topolnicki et al., 2019). Its high axial stiffness, compared to geosynthetics, reduces horizontal deformation at the embankment base, minimizes bending moments in the piles, and ultimately enhances embankment stability.</p> <h2>PEBSTER</h2> <p>This dataset includes measurements from a large-scale test on steel-reinforced piled embankments, conducted at the Institute of Geotechnics of the Technical University of Darmstadt (Schneider et al., 2024a,b,c). This test is part of a broader research initiative called Piled Embankments with Basal Steel Reinforcement (PEBSTER), which also includes four small-scale test (van Eekelen et al., 2024), conducted at Deltares, Delft, Netherlands.</p> <h2>GEOLAB</h2> <p>GEOLAB is a project of the European Union&rsquo;s Horizon 2020 research and innovation program under Grant Agreement No. 101006512, addressing Europe's Critical Infrastructure (CI) challenges in the water, energy, urban, and transport sectors.</p> <p>The GEOLAB Research Infrastructure (RI) consists of 11 unique installations across Europe to study subsurface behavior and its interaction with structural CI elements and the environment. During the GEOLAB Transnational Access (TA), users outside the consortium gained access to the GEOLAB installations to perform research and innovation.</p> <h2>PEBSTER Research group</h2> <p>The project was conducted by a research group that includes the Institute of Geotechnics of the Technical University of Darmstadt, Germany, Deltares, Netherlands, Keller (Germany, France, Poland), and SHM System, Poland.</p>

embargoedcc-by-4.0Sep 2024View details →
zenodo32/100

Data of "Experimental investigation on the bond behaviour of steel reinforcement in self-healing concrete"

<p>Dataset for the fresh and hardened properties of self-healing concrete, and the bond properties of steel reinforcement in self-healing concrete</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Data of "Optimization of concrete mix designs toward the bond properties of steel reinforcement in self-healing concrete by Taguchi method"

<p>Dataset for the hardened properties of self-healing concrete and the bond properties of steel reinforcement in self-healing concrete used for the optimization via Taguchi method</p>

opencc-by-4.0Jul 2023View details →
dryad28/100

Data from: Low reversed cyclic loading tests for integrated precast structure of lightweight wall with single-row reinforcement under a lightweight steel frame

Given the development of precast structures for low-rise residential buildings, this study explores a new structure—namely, an integrated precast structure of lightweight recycled-concrete wall with single-row reinforcement—under a lightweight steel frame filled with recycled concrete (integrated precast structure for short). The lightweight steel frame and lightweight wall cooperate to bear the forces. The applied concealed bracing, either a rebar bracing or a steel plate bracing, increases the shear resistance of the wall. The lightweight steel frame is designed to bear the vertical loading, whereas the seismic load in the horizontal direction is jointly borne by the frame and wall. This study presents the results of low reversed cyclic loading tests on nine specimens of integrated precast structures. An analysis is then carried out to investigate the mechanical properties of the specimens; based on these results, a formula for the force-bearing performance of the inclined section is developed. The results show satisfactory performance as an integrated piece; the proposed structure has two seismic lines of defence, with the lightweight wall restraint by the side frame being the first line and the steel frame being the second line. Because the failure of the wall can be categorised as shear failure, the restraint of the lightweight steel frame significantly reduces the potential damage of the wall. As the beams and columns of the steel frame tend to bend against failure, the wall filling helps resist sliding. Therefore, the reinforced joints of the connecting beams and columns show no visible signs of damage, indicating that the connection between the beams and columns is reliable. The narrow spacing of rebars and the setting of concealed bracing contribute to the increase in ductility and energy efficiency and the evident reduction in the failure process. Furthermore, the recycled concrete increases the seismic resistance of the structure.

opencc-zeroDec 2017View details →
dryad28/100

Data from: Low reversed cyclic loading tests for integrated precast structure of lightweight wall with single-row reinforcement under a lightweight steel frame

Open the record for dataset details and reuse information.

publicAug 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