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”
Research Data for the Journal Article: Metal-free catalytic systems based on imidazolium chloride and strong bases for selective oxidative esterification of furfural to methyl furoate
Open the record for dataset details and reuse information.
Research Data for the Journal Article: Efficient DMF-assisted synthesis of formamides from amines using CO2 catalyzed by heterogeneous metal-free imidazolium-hypercrosslinked polymers
Open the record for dataset details and reuse information.
Dataset for the publication: Metallic Impurities in Electrolysis: Catalytic Effect of Pb Traces in Reductive Amination and Acetone Reduction
<p>This dataset contains the experimental data of the publication "Metallic Impurities in Electrolysis: Catalytic Effect of Pb Traces in Reductive Amination and Acetone Reduction" that is published in Angewandte Chemie International Edition. </p>
Trace metals (Cd, Cu, Pb and Zn) concentrations in tissues of Pipistrellus kuhlii lepidus with identified age from unpolluted area - Karlovka village NE Ukraine
<div> <p>The dataset contains information on level of cadmium (Cd), copper (Cu), lead (Pd) and zinc (Zn) in internal and external tissues of <em>Pipistrellus kuhlii lepidus </em>from agricultural area (Karlovka village). Bats were taken for analysis from Ukrainian Bat Rehabilitation Centre (Kharkiv, Ukraine) in 2021-2022. In addition, age of each individual was identified using osteochronological technique. </p> <p> </p> </div>
Thermodynamic rarity of metals 2020-2050
<p>Thermodinamic Rarity of metals 2020-2050 of the technologies for the energy and digital transition in Spain. </p> <p>Bulk Metals: Al, Cu, Ni, Mn</p> <p>Technological Metals: Ag, Au, Co, Li, Nd, Dy, Pd, Pt</p>
Intra-specific variation in metal tolerance modulate competition between two marine diatoms
<p><span><span><span><span><span><span><span><span><span><span><span>This project contains data for the manuscript<i> </i><em>Intra-specific variation in metal tolerance modulate competition between two marine diatoms</em>. The experiments tests how different toxic concentrations of heavy metals modulates competition between an artificially assembled community of Baltic Sea diatoms (four clonal strains each of the two diatom species <i>Skeletonema marinoi</i> (SM) and <i>Thalassiosira baltica</i> (TB). Briefly we use toxic Dose Response curves (DRC) to model how inter and intra specific selection between strains is expected to be modulated under Cadmium, Copper and Silver stress. The stress level was set at the average 50% inhibition concentration (EC50) between all eight strains. Strains were mixed at even biomass based on Relative Chl a Fluorescence Units (RFU) and cultivated semi-continuously to maintain exponential growth. The growth of individual species was measured through microscopy observations and the photosynthetic capacity was monitored using Pulse Amplitude Modulation (PAM) fluorometry. A experimental design flow figure is included as a supplement.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>The complete functional set of scripts, statistical analysis, and graphical illustrations in R can be found on github: https://github.com/Bearstar85/Selection_Competition_2021 </span></span></span></span></span></span></span></span></span></span></span></p>
Expedición Seaflower - Radio y Televisión De Colombia - Metales Pesados
<p>Entrevista de la Radio y Televisión de Colombia durante el desarrollo de la expedicipon Seaflower 2018, publicada en 2019</p>
Sabatier principle of metal–support interaction for design of ultrastable metal nanocatalysts
<p>Data for the figures of the publication "Sabatier principle of metal–support interaction for design of ultrastable metal nanocatalysts".</p>
Dataset for "Fine-Tuning A Robust Metal–Organic Framework Towards Enhanced Clean Energy Gas Storage"
<p>Dataset covering the DFT simulations performed for the journal article "Fine-Tuning A Robust Metal–Organic Framework Towards Enhanced Clean Energy Gas Storage"</p>
Engineering the Radiative Dynamics of Thermalized Excitons with Metal Interfaces
<p>Here we analyze the emission properties of excitons in two metal structures: placed near a single metal (silver) interface and placed symmetrically at the center of a Fabry-Perot microcavity. The exciton is modeled as a point dipole and as an extended 2D dipole. With the momentum dependent emission rates for the extended exciton, we can also examine its temperature dependent behavior by applying a momentum distribution. We investigate the cases of a Maxwell-Boltzmann statistical distribution and a Bose-Einstein statistical distribution (since excitons form composite bosons). </p> <p>The dataset provided are the Mathematica codes used to generate the plots in our paper. The point dipole results are contained in the notebook files: Emission Rate 2, Multiple Interfaces, Multiple Interfaces_Par (1), and Multiple Interfaces_Perp. The extended exciton results are contained in the notebook files: Extended Exciton 2-3 and BE stats. </p>
Imaging Spin-Wave Damping Underneath Metals Using Electron Spins in Diamond
<p>Data corresponding to the figures in the main text of "Imaging Spin-Wave Damping Underneath Metals Using<br> Electron Spins in Diamond"</p>
Electronic correlations and universal long-range scaling in kagome metals
<p>Dataset for the constrained Random Phase Approximation calculations shown in the manuscript. The VASP OUTCAR (ascii plain texy file) contains the whole cRPA U_iijj, U_ijij and U_ijji tensors, from which the numbers in the table of the paper (Supplementary Material) are extracted. Input files necessary to reproduce the results are also in the repository.</p>
Heavy metal removal from coal fly ash for low carbon footprint cement
<p>Source data for the publication "Heavy metal removal from coal fly ash for low carbon footprint cement"</p>
Raw data files for the manuscript entitled "Hybridization of Synthetic Humins with a Metal–Organic Framework for Precious Metal Recovery and Reuse"
<p>Datasets for the data presented in the manuscript entitled "Hybridization of Synthetic Humins with a Metal–Organic Framework for Precious Metal Recovery and Reuse" published in ACS Applied Materials and Interfaces.</p>
Supporting information for First-row transition metalloporphenes, metallic conductors or not?
<p>Supporting information for First-row transition metalloporphenes, metallic conductors or not?</p> <p> </p> <p>POSCAR, vasprun.xml, and INCAR files</p>
Dissolved trace metal depth profile concentrations from the North Pacific Ocean Gradients 3 (KM1906) spring 2019 cruise
<p>This dataset contains dissolved trace metal depth profiles collected in the North Pacific Ocean in spring of 2019 on the KM1906 Gradients 3 cruise (Chief Scientist E. Virginia Armbrust). The project was funded by the Simons Collaboration on Ocean Processes and Ecology Gradients program (SCOPE award 426570SP to SGJ). The samples were collected by trace metal clean rosette. Data were produced at the University of Southern California Marine Trace Elements Lab run by Prof. Seth G. John. Briefly, the metals were preconcentrated using an Elemental Scientific Inc. SeaFast automated robot, detected by Element 2 ICP-MS and quantified using isotope dilution as described in Hawco et al. 2020. <em>GCA</em> <a href="https://doi.org/10.1016/j.gca.2020.05.005">https://doi.org/10.1016/j.gca.2020.05.005</a>. All concentrations are dissolved (<0.2um SUPOR filter) and reported as nmol/L. </p>
Excess Entropy Scaling in Supercooled Ternary Metallic Mixtures
<p>The folder contains the results from the simulations;<br> for some of the mixtures the python start file is included.</p> <p>The Jupyter notebook files were used to make the plots in our report.</p> <p>The csv files in the main folder contain the most important results.</p> <p>The files "binary_results.csv" and "single_results.csv" were taken from the research paper:<br> "Excess-entropy scaling in supercooled binary mixtures" I. H. Bell, J. C. Dyre, and T. S. Ingebrigtsen <br> (Nature communications)</p> <p>The dataset includes the results organized the following way:<br> Mixture -> density -> "simfiles" -> temperature -> run-number -> results of the simulation</p> <p>In order to use the Jupyter notebooks, the file paths may have to be updated.</p> <p>Let us know if you find the results useful or have suggestions for us.</p>
Data for: Heavy metal pollution impacts soil bacterial community structure and antimicrobial resistance at the Birmingham 35th Avenue Superfund Site
<p>The data in this archive are the results of a study on the impact of heavy metals (HMs) on the soil microbiota of an urban Superfund site in Alabama. HMs are known to modify bacterial communities both in the laboratory and in situ. Consequently, soils in HM-contaminated sites such as the U.S. Environmental Protection Agency (EPA) Superfund sites are predicted to have altered ecosystem functioning, with potential ramifications for the health of organisms, including humans, that live nearby. Further, several studies have shown that heavy metal-resistant (HMR) bacteria often also display antimicrobial resistance (AMR), and therefore HM-contaminated soils could potentially act as reservoirs that could disseminate AMR genes into human-associated pathogenic bacteria. To explore this possibility, topsoil samples were collected from six public locations in the zip code 35207 (the home of the North Birmingham 35th Avenue Superfund Site) and in six public areas in the neighboring zip code, 35214. 35027 soils had significantly elevated levels of the HMs As, Mn, Pb, and Zn, and sequencing of the V4 region of the bacterial 16S rRNA gene revealed that elevated HM concentrations correlated with reduced microbial diversity and altered community structure. While there was no difference between zip codes in the proportion of total culturable HMR bacteria, bacterial isolates with HMR almost always also exhibited AMR. Metagenomes inferred using PICRUSt2 also predicted significantly higher mean relative frequencies in 35207 for several AMR genes related to both specific and broad-spectrum AMR phenotypes. Together, these results support the hypothesis that chronic HM pollution alters the soil bacterial community structure in ecologically meaningful ways and may also select for bacteria with increased potential to contribute to AMR in human disease.</p>
Research data supporting: "Innate dynamics and identity crisis of a metal surface unveiled by machine learning of atomic environments"
<p>This repository contains the set of data shown in the paper <strong>"Innate dynamics and identity crisis of a metal surface unveiled by machine learning of atomic environments"</strong>, published on The Journal of Chemical Physics (DOI:10.1063/5.0139010)</p>
Dataset for "Single-Step Selective Oxidation of Methane by Iron-Oxo Species in the Metal-Organic Framework MFU-4l"
<p>Dataset belonging to publication "Single-Step Selective Oxidation of Methane by Iron-Oxo Species in the Metal-Organic Framework MFU-4l"</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.