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.
2,118
datasets available to search
ShareScore release 0.9.0
Dataset results
2,118 results for “Metal”
Quantum efficiency and vertical position of quantum emitters in hBN determined by Purcell effect in hybrid metal-dielectric planar photonic structures
<p>Data from the article "Quantum efficiency and vertical position of quantum emitters in hBN determined by Purcell effect in hybrid metal-dielectric planar photonic structures", <a href="https://pubs.acs.org/doi/10.1021/acsphotonics.4c01416">ACS Photonics, (2024)</a> - [arXiv:2407.20160]</p>
Data from the paper "Porphyrin central metal ion driven self-assembling in heterogeneous ZnTPP – CoTPP films grown on Fe(001)-p(1 × 1)O"
Open the record for dataset details and reuse information.
Reduction of supported metal nanoparticles via oxidation of organic molecules: a strategy for nanoparticle redispersion
Open the record for dataset details and reuse information.
Superconducting flip-chip devices using indium microspheres on Au-passivated Nb or NbN as under-bump metallization layer
<p>Data used for figures in "Superconducting flip-chip devices using indium microspheres on Au-passivated Nb or NbN as under bump metallization layer" by A. Paradkar et al. <a href="https://doi.org/10.1063/5.0235266">Appl. Phys. Lett. <strong>126</strong>, 022601 (2025)</a></p>
Dataset: Magic in transition metal dichalcogenide bilayers
<p>Dataset for the paper "Magic in transition metal dichalcogenide bilayers" (arXiv:2106.11954). </p>
Metal Carbides by flash Joule heating
<p>Source data for "Phase controlled synthesis of transition metal carbide nanocrystals by ultrafast flash Joule heating"</p>
Impact of synthesis routes of metal-oxide photoanodes on the oxygen evolution reaction kinetics
<p>Reducir las emisiones de CO2 es fundamental en la lucha contra el cambio climático y para ello, el uso y almacenamiento de energías renovables juega un papel importante. La fotosíntesis artificial, inspirados en la fotosíntesis natural, ha surgido como una de las soluciones más prometedoras para lograr este propósito. Tal y como lo hace una planta, esta tecnología apunta a almacenar energías alternativas, como la solar, eólica, geotérmica, etc., en forma de combustibles o enlaces químicos, como el hidrógeno verde, a través de la electrólisis de agua. Este proceso consiste en pasar una corriente eléctrica, proveniente de energías renovables, desde el cátodo hasta el ánodo a través del agua. Para que este proceso sea económicamente viable, es necesario que el cátodo, donde se produce el hidrógeno verde, y el ánodo, donde se produce oxígeno, estén fabricados de catalizadores económicos, abundantes y eficientes. Dentro de este grupo de catalizadores, aquellos basados en metales de transición tienen a ser los más estudiados por su abundancia y estabilidad. Sin embargo, las reacciones de evolución de hidrógeno y oxígeno presentan una cinética lenta, de manera que entender los mecanismos de reacción de dichos catalizadores es crucial para aumentar su eficiencia. En esta charla presentaré un resumen de las acciones que Colombia esta tomado frente al cambio climático, así como los avances más recientes en la producción de hidrógeno verde. Posteriormente, enfocaré la charla en los avances en investigación que he desarrollado en conjunto con mis colaboradores. En particular, explicaré los avances en el diseño e implementación de un sistema automatizado de ‘spray coating’ para producir materiales nanoestructurados de manera económica. Así mismo, explicaré con dos ejemplos los avances para producir nanomateriales y elucidar sus mecanismos de reacción para producir hidrógeno verde en un cátodo de Cu2S y oxígeno en un ánodo de α-Fe2O3.</p>
Data from: Hitting reset on sediment toxicity: Sediment homogenization alters the toxicity of metal‐amended sediments
<p>Laboratory testing of sediments frequently involves manipulation by amendment with contaminants and homogenization, which changes the physicochemical structure of sediments. These changes can influence the bioavailability of divalent metals, and field and mesocosm experiments have shown that laboratory-derived thresholds are often overly conservative. We assessed the mechanisms that lead to divergence between laboratory- and field-derived thresholds; specifically, we assessed the importance of slow equilibration to solid-phase ligands and vertical stratification. To mimic natural physicochemical conditions, we uniquely aged sediment with a flow-through exposure system. These sediments were then homogenized and compared, toxicologically, with freshly metal-amended sediments in a 28-d chronic toxicity bioassay with the amphipod <em>Hyalella azteca</em>. We assessed concentration–response relationships for 3 metals (copper, nickel, and zinc) and 5 geochemically distinct sediments. We observed minimal differences in growth and survival of <em>H. azteca</em> between aged and freshly spiked sediments across all sediments and metals. These trends suggest that a loss of toxicity observed during long-term sediment aging is reversed after sediment homogenization. By comparison with mesocosm experiments, we demonstrate that homogenizing sediment immediately before toxicity assays may produce artificially high toxicity thresholds. We suggest that toxicity assays with sediments that maintain vertical redox gradients are needed to generate field-relevant sediment metal toxicity thresholds.</p>
Supplemental Data; "Microbial biominers: sequential bioleaching and biouptake of metals from e-scraps"
<p>Acid mine drainage bacterial consortium OTUs reads</p> <p>Metals biouptake from e-scraps leachate normalized by extremotolerant microalgae biomass. </p> <p>For additional information see: García-Balboa C, Martínez-Alesón García P, López-Rodas V, Costas E, Baselga-Cervera B (2022). Microbial biominers: sequential bioleaching and biouptake of metals from electronic scraps. MicrobiologyOpen.</p>
A mechanism for the strange metal phase in rare-earth intermetallic compounds
<p>Codes and numerical data for each Figure created for the study in Jiangfan Wang, et al., <em>A mechanism for the strange metal phase in rare-earth inter-metallic compounds </em>and its supporting information.</p>
Measurements of heavy metals in the moss Orthotrichum lyellii collected using community science in the Duwamish Valley, Seattle, Washington, U.S.A.
<p>Heavy metals concentrations often vary at small spatial scales not captured by air monitoring networks, with implications for environmental justice in industrial-adjacent communities. Pollutants measured in moss tissues are commonly used as a screening tool to guide use of more expensive resources, like air monitors. We piloted a community science approach, engaging over 55 people from nine institutions, to map heavy metals using moss in two industrial-adjacent neighborhoods. Local youth led sampling of the moss <em>Orthotrichum lyellii</em> from trees across a 250×250-m sampling grid (n = 79). We compared their data with expert-collected samples (n = 19) using Principal Components Analysis and Procrustes Analysis. We mapped 21 chemical elements measured in moss, focusing on 6 toxic 'priority' metals: arsenic, cadmium, chromium, cobalt, lead, and nickel. We compared local data, using t-tests and boxplots, with two 'reference datasets' of <em>O. lyellii</em> collected in Portland, Oregon, and in Seattle City Parks. We also use Principal Components Analysis to describe major gradients in metals in the study area. Our data submission includes two R scripts and four datasets of heavy metals in moss, including the two reference datasets, which will enable replication of our analyses as well as novel analyses.</p>
Formation of Hematite Spherules from Metallic Spherules by Oxidative Hydrothermal Alteration: Implications for Hematite Spherules on Martian Surface
<p>Figures used in paper “Formation of Hematite Spherules from Metallic Spherules by Oxidative Hydrothermal Alteration: Implications for Hematite Spherules on Martian Surface”</p>
Modelling the origin, fate, and ecological and health impacts of heavy metals from an abandoned mercury mine in a paradise island in the Philippines
<p>This document contains supplementary tables for the article entitled "Modelling the origin, fate, and ecological and health impacts of heavy metals from an abandoned mercury mine in a paradise island in the Philippines"</p>
COMPAS v02.27.05 output at representative metallicities
<p>This dataset contains the output data of rapid binary population synthesis produced using COMPAS v02.27.05. The details of the initial conditions and setup are described in the "COMPAS_settings_table.pdf" file. We simulate 5 million binaries, at representative metallicities, and store them in HDF5 files, the default format for COMPAS simulations. Each HDF5 file contains the following groups:</p> <ul> <li> ‘/BSE_Common_Envelopes’</li> <li> ‘/BSE_Double_Compact_Objects’</li> <li> ‘/BSE_Supernovae’</li> <li> ‘/BSE_System_Parameters’</li> <li> ‘/Run_Details’</li> </ul> <p>For details about the data, such as variable names and attributes, visit the <a href="https://compas.readthedocs.io/en/latest/">compas.readthedocs.io</a>.<br> The metallicities chosen for the simulations are:</p> <ol> <li>Z=0.0001: the lowest metallicity accounted for in our stellar evolution tracks;</li> <li>Z=0.0002: a proxy metallicity for I Zwicky 18;</li> <li>Z=0.001;</li> <li>Z=0.0021: a proxy metallicity for the Small Magellanic Cloud;</li> <li>Z=0.0047: a proxy metallicity for the Large Magellanic Cloud;</li> <li>Z=0.01;</li> <li>Z=0.0142: a metallicity representative of the Sun;</li> <li>Z=0.02: a super-solar metallicity, aka "old Solar";</li> <li>Z=0.03: the highest metallicity accounted for in our stellar evolution tracks;</li> <li>U[log<sub>10</sub>(0.0001), log<sub>10</sub>(0.03)]: log-uniformly distributed metallicities from the COMPAS metallicities.</li> </ol> <p>This results in 50 million binaries in total.</p> <p>In addition to the Table in the "COMPAS_settings_table.pdf" file, we include a "Run Details" text file, which contains the setup as specified via COMPAS, for a particular batch of the Z=0.02 simulation. This file contains a representative description of the global properties of all the 10 simulations, but some details, e.g. Clock-Time, vary from batch to batch.</p> <p>For questions, comments, or suggestions, contact compas-user@googlegroups.com or visit <a href="https://compas.science/">compas.science/</a>.<br> Visit <a href="https://github.com/TeamCOMPAS/COMPAS">Team COMPAS Github page</a> to get access to the source code.<br> Finally, if you use any of these data, we kindly request that, in recognition of this team effort, the paper is cited as:</p> <p>Team COMPAS: J. Riley et al., “Rapid Stellar and Binary Population Synthesis with COMPAS”, <em>The Astrophysical Journal Supplement Series</em>, vol. 258, no. 2, 2022. <a href="https://iopscience.iop.org/article/10.3847/1538-4365/ac416c/meta">doi:10.3847/1538-4365/ac416c</a>.</p>
Data from: Do metal mines and their runoff affect plumage color? A regional scale study of streak-backed orioles in south-central Mexico
<p>Metal mining causes serious ecological disturbance, due partly to heavy metal (HM) pollution that can accumulate at mining sites themselves and be dispersed downstream as runoff. Plumage coloration is important in birds' social and ecological interactions and sensitive to environmental stressors, and several local-scale studies have found decreased carotenoid-based plumage and/or increased melanin-based plumage in wild birds exposed to HM pollution. We investigated regional-scale effects of proximity to mines and their downstream rivers as a proxy of exposure to HM-contaminated mining waste on plumage coloration in streak-backed orioles (<em>Icterus pustulatus</em>) in south-central Mexico. We measured the plumage color of museum skins using reflectance spectrometry and digital photography, then used geographic information systems to estimate each specimen's distance from the nearest mining concession and river and determine whether that river's watershed contained mines. Proximity to mines and their downstream rivers was related to ventral (but not dorsal) carotenoid-based coloration; birds collected farther from mines had more vivid yellow-orange breast plumage, and belly plumage was more vivid and redder with increasing distance from rivers with upstream mines. Breast background reflectance unexpectedly decreased with mine distance and was higher among birds whose nearest river had mines upstream. The area (but not reflectance) of melanin-based plumage was also related to mines. The area of dark back streaks decreased with mine distance, while the bib patch was smaller among birds presumably more exposed to mining waste. While some of these results are consistent with predicted effects of HM pollution on plumage, most were not straightforward, and effects differed among plumage patches and variables. Further investigation is needed to understand the direct (e.g., toxicity, oxidative stress) and/or indirect (e.g., decreased availability of carotenoid-rich food) mechanisms responsible and their individual, population, and community-level implications. </p>
Raw data files for "3D vs. turbostratic: controlling metal-organic framework dimensionality via N-heterocyclic carbene chemistry" manuscript
<p>Raw data files for a manuscript "3D vs. turbostratic: controlling metal-organic framework dimensionality via N-heterocyclic carbene chemistry" published in Chemical Science. <a href="https://doi.org/10.1039/D2SC01041K">https://doi.org/10.1039/D2SC01041K</a></p> <p>The files are organized by manuscript figure names and are in a simple text or CSV format. The headers contain the necessary information such as column designations, units, etc.</p> <p> </p> <p> </p> <p> </p>
Dataset for the published article "Retarded room temperature Hamaker coefficients between bulk elemental metals"
<p>The data contained in the zip files constitute the main research data of the publication entitled as "<a href="https://doi.org/10.1016/j.susc.2022.122123">Retarded room temperature Hamaker coefficients between bulk elemental metals</a>". They are provided in a txt file format.</p> <p>"Identical metals in vacuum.zip" contains the room temperature Hamaker coefficients between 26 identical elemental polycrystalline metals that are embedded in vacuum computed from the <strong>full Lifshitz theory</strong> as a function of the separation of the metallic semi-spaces within 0-200nm. The employed discretization scheme is the following: for l = 0 − 1 nm, <span class="math-tex">\(\Delta{l}=0.1\,nm\)</span> which corresponds to 11 data points, for l = 1−200 nm: <span class="math-tex">\(\Delta{l}=1\,nm\)</span> which corresponds to 200 data points. The computation of the imaginary argument dielectric function of metals is based on the full spectral method combined with a Drude model low frequency extrapolation technique which has been implemented with input from extended-in-frequency dielectric data that range from the far infra-red region to the soft X-ray region of the electromagnetic spectrum.</p> <p>"Identical metals in water (Fiedler et al).zip" contains the room temperature Hamaker coefficients between 26 identical elemental polycrystalline metals that are embedded in pure water computed from the <strong>full Lifshitz theory</strong> as a function of the separation of the metallic semi-spaces within 0-200nm. The employed discretization scheme is the following: for l = 0 − 1 nm, <span class="math-tex">\(\Delta{l}=0.1\,nm\)</span> which corresponds to 11 data points, for l = 1−200 nm: <span class="math-tex">\(\Delta{l}=1\,nm\)</span> which corresponds to 200 data points. The computation of the imaginary argument dielectric function of metals is based on the full spectral method combined with a Drude model low frequency extrapolation technique which has been implemented with input from extended-in-frequency dielectric data that range from the far infra-red region to the soft X-ray region of the electromagnetic spectrum. The computation of the imaginary argument dielectric function of pure water is based on the simple spectral method which has been implemented with input from the Fiedler <em>et al.</em> dielectric parameterization.</p> <p>"Identical metals in water (Parsegian-Weiss).zip" contains the room temperature Hamaker coefficients between 26 identical elemental polycrystalline metals that are embedded in pure water computed from the <strong>full Lifshitz theory</strong> as a function of the separation of the metallic semi-spaces within 0-200nm. The employed discretization scheme is the following: for l = 0 − 1 nm, <span class="math-tex">\(\Delta{l}=0.1\,nm\)</span> which corresponds to 11 data points, for l = 1−200 nm: <span class="math-tex">\(\Delta{l}=1\,nm\)</span> which corresponds to 200 data points. The computation of the imaginary argument dielectric function of metals is based on the full spectral method combined with a Drude model low frequency extrapolation technique which has been implemented with input from extended-in-frequency dielectric data that range from the far infra-red region to the soft X-ray region of the electromagnetic spectrum. The computation of the imaginary argument dielectric function of pure water is based on the simple spectral method which has been implemented with input from the Parsegian-Weiss dielectric parameterization.</p> <p>"Identical metals in water (Roth-Lenhoff).zip" contains the room temperature Hamaker coefficients between 26 identical elemental polycrystalline metals that are embedded in pure water computed from the <strong>full Lifshitz theory</strong> as a function of the separation of the metallic semi-spaces within 0-200nm. The employed discretization scheme is the following: for l = 0 − 1 nm, <span class="math-tex">\(\Delta{l}=0.1\,nm\)</span> which corresponds to 11 data points, for l = 1−200 nm: <span class="math-tex">\(\Delta{l}=1\,nm\)</span> which corresponds to 200 data points. The computation of the imaginary argument dielectric function of metals is based on the full spectral method combined with a Drude model low frequency extrapolation technique which has been implemented with input from extended-in-frequency dielectric data that range from the far infra-red region to the soft X-ray region of the electromagnetic spectrum. The computation of the imaginary argument dielectric function of pure water is based on the simple spectral method which has been implemented with input from the Roth-Lenhoff dielectric parameterization.</p> <p>All Hamaker coefficients are given in zJ and all separations are given in nm.</p>
Field Retrofit and Testing of a Corroded Metal Culvert Using GFRP
<table> <tbody> <tr> <td> <p>One of the current pressing problem for all DOTs is the corrosion-oriented deterioration of the existing metal culverts. These metal culverts typically are designed for a life of 50 years. However, corrosion is making them last no longer than 30years. Here we propose use of Glass Fiber Reinforced Polymers (GFRP) pipe section as a fit-in GFRP profile liner for complete repair and rehabilitation of the corroded metal culvert with an expected life of 75 years. This is mainly because of the corrosion free nature of the GFRP material. In the current study, the design method for using glass fiber-reinforced polymer (GFRP) slip liner to retrofit CMP culvert is presented. Furthermore, this report presents field implementation of retrofitting of a 24 in corroded corrugated metal pipe embedded that is 25 ft span and buried below 18 of soil. The corroded corrugated metal pipe was retrofitted with a 22 in diameter GFRP slip liner. Load testing before and after the retrofitting proves the efficiency of the proposed retrofitting system and its ability to extend the service life of the retrofitted pipe.</p> </td> </tr> </tbody> </table>
The formation of the stripped envelope type IIb Supernova progenitors: Rotation, Metallicity and Overshooting
<p>The inlist files for the paper "The formation of the stripped envelope type IIb Supernova progenitors: Rotation, Metallicity and Overshooting"; All models are calculated with the MESA(r10398) code .</p>
Type IIP Supernova Progenitors. III. Blue to Red Supergiant Ratio in Low-metallicity Models with Convective Overshoot (Dataset)
<p>MESA input and output files associated with the published journal article Wagle et al. (2020; doi:10.3847/1538-4357/ab8bd5). We used MESA version r-10398 and MESA SDK version 20180822 to run these models.</p> <p>The "MESA_inputs.tar.gz" file contains work directories for initial mass of 13 solar mass and several overshoot parameter (f) values as listed in Table 2 of the published article. The models can be run directly from each working directory ("f_*") by making (./mk) and then running MESA (./rn), after instantiating MESA SDK. The run-script ("rn") is modified to start a MESA run from the pre-main-sequence (preMS) stage through core-collapse (CC) stage, if the LOGS and photos directories are absent. Otherwise, it restarts MESA from the latest "photo" binary file saved in the photos directory (that is, it assumes that the previous run was interrupted and restarts the run. So, to start a fresh run delete the "LOGS" and "photos" directories.) Each working directory has "run_star_extras.f" file which is modified to save the compactness parameters, mu_4, M_4 as extra history columns, as well as, to implement additional temporal resolution constraints as explained in section 2.2 of the article. Any other combination of mass and f-value from Table 2 of the article can be run by changing initial_mass in "inlist_control" file, and overshoot values in "inlist_f*" file.</p> <p>Each "*M_z0.006_f_*.tar.xz" file has a "LOGS" directory that contains corresponding "history.data", "profile.data" at core-collapse (CC) stage and saved model ("*.mod") at CC stage for each mass and f-value combination from Table 2 of the paper. (Note: Please copy the tar.xz files for each mass in a separate folder before decompressing them, in order to avoid overwriting the folders with the same f-values.) The LOGS directory also contains a folder "png_plots" that has saved ".png" files generated by "inlist_pgstar". These files can be used to generate stellar evolution movies using the "images_to_movie.sh" script available in the MESA SDK.</p> <p> </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.