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.
17
datasets available to search
ShareScore release 0.9.0
Dataset results
17 results for “Steel corrosion”
Experiment to measure the thickness loss due to corrosion of a 5mm uncoated steel sample exposed close to the shore during 6 months
<p>This is the data obtained during a experiment conducted in Grand Canary Island close to the shore to collect data using CEIT's ultrasound sensor node attached to a 5mm uncoated steel sample. We collected during 6 months the measured thickness taking two measures per day. The sample was considerably degraded during that time. The estimated Corrosion Rate (134um/year) was in coherence with the typical corrosion rates in real environments (100-200um/year). </p>
A Multimodal Dataset on Stainless Steel for Electrochemical Corrosion Studies: Optical Microscopy and Linear Sweep Voltammetry
<p>The upload includes optical and electrochemical data for corrosion experiments.</p> <p>This dataset presents the results of an experimental study conducted to investigate the electrochemical behavior of electropolished Stainless Steel 316L (SS316L) samples immersed in NaCl solutions. The combination of Linear Sweep Voltammetry (LSV) and optical microscopy techniques was employed to gather comprehensive insights into the electrochemical processes occurring on the surface of the stainless steel samples.</p> <p>The samples used in the experiment were electropolished SS316L, chosen for its widely recognized corrosion resistance properties and frequent application in various industrial sectors. LSV was performed on the samples in a potential range of -0.5V to 1.35V, (vs 3.4M KCl Ag/AgCl). NaCl solutions with concentrations of 5mM, 10mM, and 50mM were prepared to simulate different electrolyte conditions.</p> <p>Two different scan rates, 50mV/s and 100mV/s, were applied during the LSV experiments to observe the effect of varying scan rates on the electrochemical behavior of the SS316L samples. The scan rates were chosen to cover a range commonly encountered in electrochemical studies.</p> <p>List of experiments:</p> <ul> <li> 5 mM solution, 100mV/s scan rate</li> <li> 10 mM solution, 50mV/s scan rate</li> <li> 10 mM solution, 100mV/s scan rate</li> <li> 50 mM solution, 50mV/s scan rate</li> <li> 50 mM solution, 100mV/s scan rate</li> </ul> <p>The dataset is accompanied by animated plots. The top left plot shows electrochemistry data, bottom left - average normalized intensity and derivative of intensity. Top right - original optical images, bottom right - normalized images.</p> <p>The scale for optical images: 1px = 480 nm. Axes on images are in pixels</p> <p>Jupyter notebook with the code, used to create videos included. We recommend opening the Jupyter notebook file in a Python 3 environment.<br> </p>
Data from: Effect of pH regulation by microbes on corrosion behaviour of duplex stainless steel 2205 in acidic artificial seawater environment
Sulphate reducing bacteria (SRB) can regulate environmental pH because of their metabolism. Since local acidification results in pitting corrosion, the potential capacity of pH regulation by SRB would have important consequences for electrochemical aspects of the bio-corrosion process. This study focussed on identifying the effect of pH on the corrosion of duplex stainless steel (DSS) 2205 in a nutrient rich artificial seawater medium containing SRB species, Desulfovibrio vulgaris. DSS samples were exposed to the medium for 13 days at 37 0C at pH ranging from 4.0 to 7.4. The open circuit potential value (OCP), sulphide level, pH and number of bacteria in the medium were recorded daily. Electrochemical impedance spectroscopy (EIS) and potential dynamic polarization were used to study the properties of the films and corrosion behaviour of the material. Inductively coupled plasma mass spectrometry (ICPMS) was used to measure the concentration of cations Cr, Fe, Ni, Mo, Mn in the experimental solution after 13 days. Scanning electron microscopy (SEM) and Energy Dispersive X-Ray Spectroscopy (EDX) were used for surface analysis. The results showed the pH changed from acidic values set at the beginning of the experiment to approximately pH 7.5 after 5 days due to bacterial metabolism. After 13 days, the highest iron concentration was in the solution that was initially at pH 4 accompanied by pitting on the stainless steel. Sulphide was present on all specimens but with more sulphide corrosion products at pH 4. The results of this study suggest that the corrosion process for the first few days exposure at low pH was driven by pH in solution rather than by bacteria. The increasing pH during the course of the experiment slowed down the corrosion process of materials originally at low pH. The nature and mechanism of SRB attack on duplex stainless steel at different acidic environments are discussed.
Assessing corrosion resistance of 2D nanomaterial-based coatings on stainless steel substrates
<p><span>Two dimensional (2D) materials have elicited considerable interest in the past decade due to a diverse array of novel properties ranging from high surface to mass ratios, a wide range of band gaps (insulating boron nitride to semiconducting transition metal dichalcogenides), high mechanical strength and chemical stability. Given the superior chemo-thermo-mechanical properties, 2D materials may provide transformative solution to a familiar yet persistent problem of significant socio-economic burden: the corrosion of stainless steel (SS). With this broader perspective, we investigate corrosion resistance properties of stainless steel coated with 2D nanomaterials; molybdenum disulfide (MoS<sub>2</sub>), boron nitride (BN), bulk graphite in 3.5 wt. % aqueous NaCl solution. The nanosheets were prepared by a novel liquid phase exfoliation technique and the coatings were made by a paint brush to achieve uniformity. Open circuit potential (OCP) and potentiodynamic plots indicate the best corrosion resistance is provided by the MoS<sub>2</sub> and the BN coatings. Superior performance of the coating is attributed low electronic conductivity, large flake size, and uniform coverage of SS substrate, which likely impeded the corrosive ions from the solution to diffuse through the coating. </span></p>
Study on corrosion behavior and corrosion scale characteristics of P110S steel in CO2-H2S saturated high-salt aqueous with pH buffer
<p>The corrosion behavior of P110S steel in CO<sub>2</sub>-H<sub>2</sub>S saturated high-salt aqueous with pH buffer was investigated using an autoclave. SEM, EDS, XRD, and Pourbaix diagrams were used to analyze the corrosion scale characteristics. P110S steel experienced severe localized corrosion in high-salt aqueous containing saturated with CO<sub>2</sub>-H<sub>2</sub>S despite the addition of pH buffer. The main component of the corrosion scale was mackinawite and FeCO<sub>3</sub>. The corrosion scale with mackinawite as the main component was dense and had a good protective effect. The corrosion was very light in the area covered by this corrosion scale. However, this corrosion scale was poorly bonded to the matrix and is prone to partial cracking and peeling, which was the cause of severe localized corrosion of P110S steel.</p>
Characterisation of corrosion damage in T91/F91 steel exposed to static liquid lead-bismuth eutectic at 700-715 °C
<p>ABSTRACT: T91 samples were exposed to static liquid lead-bismuth eutectic (LBE) at 700-715 °C for 250-500 h in either an oxidising or reducing environment. Corrosion damage was characterised using electron microscopy techniques, which identified networks of LBE intrusion beneath LBE-wetted surfaces. Under reducing conditions these networks are uniformly distributed, while they appear patchier and deeper under oxidising conditions. The individual intrusions preferentially follow microstructural features, initially along prior-austenite grain boundaries, followed by penetration down martensite lath boundaries. Local depletion of Cr was observed within 4 μm of LBE intrusions and along intersecting boundaries, suggesting local Cr dissolution as the main corrosion mechanism.</p>
Data from: Effect of pH regulation by microbes on corrosion behaviour of duplex stainless steel 2205 in acidic artificial seawater environment
Open the record for dataset details and reuse information.
Assessing corrosion resistance of 2D nanomaterial-based coatings on stainless steel substrates
Open the record for dataset details and reuse information.
Data from: A study of bacteria adhesion and microbial corrosion on different stainless steels in environment containing Desulfovibrio vulgaris manuscript
<p>Stainless steel is an important material used in many applications due to its mechanical strength and corrosion resistant properties. The high corrosion resistance of stainless steel is provided by the passive film. Different stainless steels have different alloy elements and surface properties which could have a significant influence on bacterial attachment to the surface and thus might result in different microbial corrosion behaviours. In this study, the effect of adhesion of sulphate reducing bacteria (SRB) and corrosion behaviour in artificial seawater on different stainless steels was investigated. Stainless steel materials used were SS 410, SS 420, SS 316 and DSS 2205 and pure chromium. The contact angle was measured to study the effect of surface properties of materials. Adhesion was measured by counting cells attached to the surface of materials. The corrosion behaviour of the materials was measured by electrochemical testing including measuring open circuit potential, electrochemical impedance spectroscopy and potentiodynamic behaviour. The long-term corrosion behaviour of each material was studied after six months exposure by measuring weight loss and surface analysis with SEM-EDX. The results show the high dependency on hydrophobicity of materials surfaces to bacterial attachment. However, bacterial attachment did not have a significant effect on the corrosion rate of the materials. Pure chromium had the best corrosion resistance to MIC with reduced bacterial attachment compared to the stainless steel samples. The nature of bacterial attachment and corrosion behaviour of the materials are discussed.</p>
Data for 'Nano-scale corrosion mechanism of T91 steel in static lead-bismuth eutectic: A combined APT, EBSD, and STEM investigation'
<p>The original data for the manuscript 'Nano-scale corrosion mechanism of T91 steel in static lead-bismuth eutectic: A combined APT, EBSD, and STEM investigation'.</p>
Data from: A study of bacteria adhesion and microbial corrosion on different stainless steels in environment containing Desulfovibrio vulgaris manuscript
Open the record for dataset details and reuse information.
Data from: Adsorption and corrosion inhibition behavior of new theophylline-triazole based derivatives for steel in acidic medium
The design and synthesis of a series of theophylline derivatives containing 1,2,3-triazole moieties is presented. The corrosion inhibition activities of these new triazole-theophylline compounds were evaluated by studying the corrosion of API 5L X52 steel in 1 M HCl media. The results showed that an increase in the concentration of the theophylline-triazole derivatives also increases the charge transference resistance (Rct) value, enhancing inhibition efficiency and decreasing the corrosion process. The electrochemical impedance spectroscopy under static conditions studies revealed that the best inhibition efficiencies (~90%) at 50 ppm are presented by the all- substituted compounds. According to the Langmuir isotherm, the compounds 4 and 5 analyzed exhibit physisorption-chemisorption process, with exception of the hydrogen 3, bromo 6 and iodo 7 substituted compound, which exhibit chemisorption process. The corrosion when submerging a steel bar in 1 M HCl was studied using SEM-EDS. This experiment showed that the corrosion process decreases considerably in the presence of 50 ppm of the organic inhibitors. Finally, theoretical study showed a correlation between EHOMO, hardness (η), electrophilicity (W), atomic charge and the inhibition efficiency in which the iodo 7 substituted compound presents the best inhibitor behavior.
Data from: Theoretical, thermodynamic and electrochemical analysis of Biotin drug as an impending corrosion inhibitor for mild steel in 15% HCl
The corrosion mitigation efficiency of Biotin drug for mild steel in 15% HCl was thoroughly investigated by weight loss and electrochemical methods. The surface morphology was studied by Contact angle, Scanning electrochemical microscopy (SECM), Atomic force microscope (AFM) and Scanning electron microscopy (SEM) methods. Quantum chemical calculation and Fukui analysis was done to correlate the experimental and theoretical data. The influence of concentration of inhibitor, immersion time, temperature, with activation energy, enthalpy and entropy has been reported. The mitigation efficiency of Biotin obtained by all methods was in good correlation with each other. Polarization studies revealed that Biotin acted as mixed inhibitor. The adsorption of Biotin was found to obey the Langmuir adsorption isotherm. Surface studies showed the hydrophobic nature of the steel with inhibitor and vindicated the formation of a film on the metal surface that reduced the corrosion rate.
Data for: "Insights into the various mechanisms by which Shewanella spp. induce and inhibit steel corrosion"
Open the record for dataset details and reuse information.
Data from: Theoretical, thermodynamic and electrochemical analysis of Biotin drug as an impending corrosion inhibitor for mild steel in 15% HCl
Open the record for dataset details and reuse information.
Data from: Adsorption and corrosion inhibition behavior of new theophylline-triazole based derivatives for steel in acidic medium
Open the record for dataset details and reuse information.
Change of Fatigue Properties of Steel-S460NL Damaged by Various Levels of Corrosion
<p><span>This study investigates the effect of corrosion on the fatigue performance of S460 NL high-strength steel, which is commonly used in offshore structures exposed to harsh conditions. We conducted fatigue tests and analyzed <em>S</em>-<em>N</em> curves over various exposure periods while simulating corrosion conditions in a laboratory setting. The findings show a direct correlation between prolonged corrosion exposure and increased fatigue damage. </span></p> <p><span>Our findings show that longer corrosion periods result in significant accumulation of corrosion products, thereby increasing the severity of metallic corrosion. Using damage theory, we quantified mechanical property degradation, providing important insights into fracture formation mechanisms. High stress levels were associated with fewer fatigue striations and more cumulative damage.</span></p> <p><span>These findings have significant implications for improving the durability and reliability of S460 NL steel in practical engineering applications.</span></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.