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.
4,017
datasets available to search
ShareScore release 0.9.0
Dataset results
4,017 results for “reduction”
Sulfate reductions rates in alpine wetlands, 2021.
Alpine ecosystems serve as crucial water resources for many areas of the world, and biogeochemical cycling in these regions can influence the chemistry of water flowing into downslope watersheds. Alpine and subalpine wetlands are understudied systems of particular interest since lowland wetlands are known to have high rates of biogeochemical activity that can disproportionally affect carbon (C) and nutrient uptake, sequestration, and transformations within the landscape. Wetland processes play a central role in sulfur (S) transformations and have conditions that can support sulfate reduction. Sulfate reduction determines the sequestration of S in wetlands and interacts closely with a multitude of other element cycles, including iron, carbon, nitrogen, and mercury. As alpine systems warm due to climate change, it is important to characterize the biogeochemical processes at these sites to predict how they may shift in response. Sulfate reduction rates were measured in three wetlands at the Niwot Ridge Long Term Ecological Research site. A new radioactive tracer method was adapted and streamlined to suit alpine soils. This work trials and assesses various methodological approaches, as well as documents sulfate reduction rates from these sites, the first time this process has been measured at Niwot Ridge. Reduction rates at one site were measured three times, to track changes across the Summer 2021 field season.
Silver film response to sulfate reduction activity in alpine and subalpine wetlands, 2022.
Alpine ecosystems serve as crucial water resources for many areas of the world, and biogeochemical cycling in these regions can influence the chemistry of water flowing into downslope watersheds. Alpine and subalpine wetlands are understudied systems of particular interest since lowland wetlands are known to have high rates of biogeochemical activity that can disproportionally affect carbon (C) and nutrient uptake, sequestration, and transformations within the landscape. Wetland processes play a central role in sulfur (S) transformations and have conditions that can support sulfate reduction. Sulfate reduction determines the sequestration of S in wetlands and interacts closely with a multitude of other element cycles, including iron, carbon, nitrogen, and mercury. Previous work in Niwot alpine and subalpine wetlands noted large variability in sulfate reduction rates within wetland soils. Samples taken less than a meter away from each other sometimes showed almost 70x higher or lower rates (Rea, unpublished work). This work sought to adapt a silver film method to quantify sulfate reduction rates over small-scale spatial areas. The method proved valuable as a quick indicator of sulfate reduction activity and was able to visualize soil heterogeneity. However, the silver films were not sensitive enough to quantify sulfate reduction rates in situ.
A route to school informational intervention for air pollution exposure reduction
<p>iSCAPE Dataset Reference No. = DS_PD_020</p> <p>Following datasets are gathered during the implementation of route to school intervention study in Antwerp (Belgium)</p> <ol> <li>Introductory Questionnaire Responses</li> <li>Feedback Questionnaire Responses</li> </ol>
Supplementary files for "A comparison of single and double Co sites incorporated in N-doped graphene for the oxygen reduction reaction"
<p>DFT optimised structures used for the paper "A comparison of single and double Co sites incorporated in N-doped graphene for the oxygen reduction reaction". There is a separate database for structures on the Co-N4 single site, each of the Co double sites and the molecular references. Manual and NEB paths for the splitting of OOH and O2 are included as separate databases. The structures can be retrieved using the Atomic Simulation Environment (ASE, https://wiki.fysik.dtu.dk/ase/).</p>
Data for: Application Performance Monitoring: Trade-Off between Overhead Reduction and Maintainability
<p>Monitoring of a software system provides insights into its runtime behavior, improving system analysis and comprehension. System-level monitoring approaches focus, e.g., on network monitoring, providing information on externally visible system behavior. Application-level performance monitoring frameworks, such as Kieker or Dapper, allow to observe the internal application behavior, but introduce runtime overhead depending on the number of instrumentation probes.<br /> We report on how we were able to significantly reduce the runtime overhead of the Kieker monitoring framework. For achieving this optimization, we employed micro-benchmarks with a structured performance engineering approach. During optimization, we kept track of the impact on maintainability of the framework. In this paper, we discuss the emerged trade-off between performance and maintainability in this context.<br /> To the best of our knowledge, publications on monitoring frameworks provide none or only weak performance evaluations, making comparisons cumbersome. However, our micro-benchmark, presented in this paper, provides a basis for such comparisons. Our experiment code and data are available as open source software such that interested researchers may repeat or extend our experiments for comparison on other hardware platforms or with other monitoring frameworks.</p> <p>This dataset supplements the paper and contains the raw experimental data as well as several generated diagrams for each experiment.</p>
Dataset for publication "Importance of Substrate Pore Size and Wetting Behavior in Gas Diffusion Electrodes for CO2 Reduction"
<p>Dataset for the publication "Importance of Substrate Pore Size and Wetting Behavior in Gas Diffusion Electrodes for CO2 Reduction" containing war and processed data used to compose the various figures. </p> <p>DOI Publication: <a href="https://doi.org/10.1021/acsaem.2c03054">https://doi.org/10.1021/acsaem.2c03054</a> </p>
Choice of the right supporting electrolyte in electrochemical reductions: a principal component analysis
<h2>Introduction</h2> <p>This dataset contains the raw data as well as an HTML-based visualization of our dataset using Python Bokeh. We have also added a feature to highlight commercially available supporting electrolytes. The data is taken from the PubChem database. For each of the 6650 cations, the known neutral compounds in the PubChem dataset were identified with their corresponding anions. For each of these compounds, the vendor information stored in PubChem was queried.</p> <h2>Directory structure</h2> <ul> <li>Raw Data <ul> <li>[<a href="../records/10813969/files/raw_data.tar.xz?download=1" target="_blank" rel="noopener">raw_data.tar.xz</a>] Compressed directory with the output from the automated feature calculation.</li> <li>[<a href="../records/10813969/files/raw_data.csv?download=1" target="_blank" rel="noopener">raw_data.csv</a>] CSV file with the values of the calculated properties of all cations.</li> </ul> </li> <li>Visualization <ul> <li>[<a href="../records/10813969/files/pca_qac_tool_QC.html?download=1" target="_blank" rel="noopener">pca_qac_tool_QC.html</a>] HTML page with Javascript to display PC1 and PC2 for the quantum chemical PCA model.</li> <li>[<a href="../records/10813969/files/pca_qac_tool_RDKit.html?download=1" target="_blank" rel="noopener">pca_qac_tool_RDKit.html</a>] HTML page with Javascript to display PC1 and PC2 for the PCA model based on non empirical RDKit descriptors.</li> </ul> </li> <li>Tools <ul> <li>[<a href="../records/10813969/files/pca_qac_tool.py?download=1" target="_blank" rel="noopener">pca_qac_tool.py</a>] Python script to generate the HTML output using Bokeh. Depends on the data_pca_qac.csv and the data_commercial.json file.</li> <li>[<a href="../records/10813969/files/PubChem_get_Vendor_information.py?download=1" target="_blank" rel="noopener">PubChem_get_Vendor_information.py</a>] Crawler that checks a list of PubChem CIDs for net-neutral compounds and whether they are commercially available.</li> <li>[<a href="../records/10813969/files/RDKit_Descriptor-2D.py?download=1" target="_blank" rel="noopener">RDKit_Descriptor-2D.py</a>] Python script to calculate all available 2D RDkit descriptors based on a list of SMILES strings.</li> <li>[<a href="../records/10813969/files/RDKit_Descriptor-3D.py?download=1" target="_blank" rel="noopener">RDKit_Descriptor-3D.py</a>] Python script to calculate the RDKit 3D descriptors based on the CREST and ORCA GeoOpt geometries.</li> </ul> </li> </ul>
Comprehensive Impedance Spectroscopy Analysis on the Electrocatalytic Reduction of 5-Hydroxymethylfurfural
<p># Dataset of "Comprehensive Impedance Spectroscopy Analysis on the Electrocatalytic Reduction of 5-Hydroxymethylfurfural"</p> <p>---</p> <p>## GENERAL INFORMATION<br>----------------------</p> <p>1. Dataset title: "Comprehensive Impedance Spectroscopy Analysis on the Electrocatalytic Reduction of 5-Hydroxymethylfurfural"</p> <p>2. Authorship: <br> Name: Jose Solera-Rojas <br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> ORCID: 0000-0003-3513-7069</p> <p> Name: David Carvajal<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> ORCID: 0000-0002-8450-2563</p> <p> Name: Antonio Guerrero<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> ORCID: 0000-0001-8602-1248</p> <p> Name: Carmen Mejuto<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> ORCID: 0000-0002-4432-5697</p> <p> Name: Elena Más-Marzá<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> Email: <emas@fca.uji.es> <br> ORCID: 0000-0002-2308-0635</p> <p> Name: Francisco Fabregat-Santiago<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> Email: <fabresan@uji.es> <br> ORCID: 0000-0002-7503-1245</p> <p>## FILE DESCRIPTION<br>--------------<br>### Figure 2<br>- Fig2b.txt : Cyclic voltammetry (CV) for the reduction of HMF, BHMF, 5-MF and MFA. A 20 mM of each organic molecule in a solution of 0.5 M NaH2PO4 (pH = 4.1) was used.<br>- Fig2c.txt : Conversion of HMF and yields of BHMF, MFA, DMF and 5-MF. <br>- Fig2d.txt : Faradaic Efficiency (FE) for the electroreduction of 20 mM HMF at pH = 4.1.</p> <p>### Figure 3<br>- Fig3a.txt : Uncorrected J-V curve taken at the end of IS measurements without and with all the organic molecules in this study<br>- Fig3b.txt : Corrected J-V curve taken at the end of IS measurements without and with all the organic molecules in this study<br>- Fig3c.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 5 mA cm^-2.<br>- Fig3d.txt : Nyquist plots in the absence and presence of each organic molecule at -0.65 V vs. RHE.</p> <p>### Figure 4<br>- Fig4a.txt : Results obtained from fitting the IS data Cdl<br>- Fig4b.txt : Results obtained from fitting the IS data Rct<br>- Fig4c.txt : Results obtained from fitting the IS data Css<br>- Fig4d.txt : Results obtained from fitting the IS data Rss<br>- Fig4e.txt : Results obtained from fitting the IS data L<br>- Fig4f.txt : Results obtained from fitting the IS data tau</p> <p><br>### Figure S3<br>- FigS3a.txt : Cyclic voltammetry of 5-MF at different concentrations (20, 40 and 80 mM) in a solution of 0.5 M NaH2PO4 (pH = 4.1) at a 5 mV/s scan rate.<br>- FigS3a.txt : Cyclic voltammetry of HMF at different concentrations (20, 40 and 80 mM) in a solution of 0.5 M NaH2PO4 (pH = 4.1) at a 5 mV/s scan rate.<br>- FigS3a.txt : Cyclic voltammetry of BHMF at different concentrations (20, 40 and 80 mM) in a solution of 0.5 M NaH2PO4 (pH = 4.1) at a 5 mV/s scan rate.<br>- FigS3a.txt : Cyclic voltammetry of MFA at different concentrations (20, 40 and 80 mM) in a solution of 0.5 M NaH2PO4 (pH = 4.1) at a 5 mV/s scan rate.</p> <p>### Figure S4<br>- FigS4a.txt : HPLC chromatograms for HMF, BHMF, 5-MF, MFA and DMF from commercially available products at (a) 294 nm, (b) 285 nm and (c)-(d) 222 nm. The solution from DMF was prepared in cyclohexane and diluted in CH3CN.<br>- FigS4b.txt : HPLC chromatograms for HMF, BHMF, 5-MF, MFA and DMF from commercially available products at (a) 294 nm, (b) 285 nm and (c)-(d) 222 nm. The solution from DMF was prepared in cyclohexane and diluted in CH3CN.<br>- FigS4c.txt : HPLC chromatograms for HMF, BHMF, 5-MF, MFA and DMF from commercially available products at (a) 294 nm, (b) 285 nm and (c)-(d) 222 nm. The solution from DMF was prepared in cyclohexane and diluted in CH3CN.<br>- FigS4d.txt : HPLC chromatograms for HMF, BHMF, 5-MF, MFA and DMF from commercially available products at (a) 294 nm, (b) 285 nm and (c)-(d) 222 nm. The solution from DMF was prepared in cyclohexane and diluted in CH3CN.</p> <p>### Figure S5<br>- FigS5a.txt : Calibration curves for (a) HMF (285 nm), (b) BHMF (222 nm), (c) MFA (222 nm), (d) 5-MF (294 nm) and (e) DMF (222 nm).<br>- FigS5b.txt : Calibration curves for (a) HMF (285 nm), (b) BHMF (222 nm), (c) MFA (222 nm), (d) 5-MF (294 nm) and (e) DMF (222 nm).<br>- FigS5c.txt : Calibration curves for (a) HMF (285 nm), (b) BHMF (222 nm), (c) MFA (222 nm), (d) 5-MF (294 nm) and (e) DMF (222 nm).<br>- FigS5d.txt : Calibration curves for (a) HMF (285 nm), (b) BHMF (222 nm), (c) MFA (222 nm), (d) 5-MF (294 nm) and (e) DMF (222 nm).<br>- FigS5e.txt : Calibration curves for (a) HMF (285 nm), (b) BHMF (222 nm), (c) MFA (222 nm), (d) 5-MF (294 nm) and (e) DMF (222 nm).</p> <p>### Figure S6<br>- FigS6.txt : HPLC chromatogram for the chronoamperometry experiment at -0.55 V vs. RHE and 294 nm for the detection of 5-MF.</p> <p>### Figure S8<br>- FigS8.txt : HPLC chromatogram from the top organic phase from an experiment of 20 mM 5-MF at -0.65 V vs. RHE with a charge limit of 38.6 C. DMF shows a retention time of 21.57 min, while the signal at 12.80 min corresponds to 5-MF partially solubilize in the cyclohexane layer</p> <p>### Figure S9<br>- FigS9.txt : HPLC chromatogram at 222 nm from a chronocoulometric reaction of 20 mM HMF at -0.85 V vs. RHE </p> <p>### Figure S10<br>- FigS10.txt : Stability test of 20 mM standard solution of HMF, BHMF, MFA and 5-MF in a 0.5 M NaH2PO4 (pH = 4) solution for 12 h, quantified by HPLC</p> <p>### Figure S12<br>- FigS10a.txt : Bode plots of impedance spectra in Figure 3c for w/o organic molecule<br>- FigS10b.txt : Bode plots of impedance spectra in Figure 3c for 5-MF<br>- FigS10c.txt : Bode plots of impedance spectra in Figure 3c for HMF<br>- FigS10d.txt : Bode plots of impedance spectra in Figure 3c for BHMF<br>- FigS10e.txt : Bode plots of impedance spectra in Figure 3c for MFA</p> <p>### Figure S13<br>- FigS13.txt : Impedance spectra for HMF change with voltage and so it does the equivalent circuit used to fit the experimental data.</p> <p>### Figure S14<br>- FigS14a,b,c,d.txt : Chronoamperometries of Cu electrodes with the different electrolytes. Peaks observed in the transition between potentials (blue arrows) are associated to the charging of a large capacitor, in our case the surface state capacitor. In the case of MFA this peak is may not be clearly observed as the Css attains large values at voltages in which high current is crossing the electrochemical cell.</p> <p> </p>
Geosci. Model Dev. paper data for Flipo et al., "Regional coupled surface-subsurface hydrological model fitting based on a spatially distributed minimalist reduction of frequency-domain discharge data"
<p>Data and associated user guide, as part of the paper :</p> <p>Flipo N., Gallois N., Schuite J. Regional coupled surface-subsurface hydrological model fitting based on a spatially distributed minimalist reduction of frequency-domain discharge data, Geoscientific Model Development.</p> <p>In consistency with the “Code and data availability” sub-section of the paper, all data necessary for the reproduction of<br> Figs. 7, 8c, 8d, 9, 10 and 11 are here provided.</p>
iCE40 Bitstream Size Reduction - Bitstreams and Reconfiguration Time Measurements
<p>The HDF5 file contains data from an experiment concerning bitstream size reduction for Lattice iCE40 FPGAs.</p> <p>Five projects were synthesized with two different toolchains and afterwards compacted and compressed. Two compaction levels were applied to each of the ten original bistreams, resulting in a total of 30 bitstreams. The ten original bitstreams were also compressed with two different compression tools, resulting in 20 compressed versions.</p> <p>The reconfiguration time for each of the 30 bitstreams was measured 10.000 times.</p> <p>Toolchains:</p> <ul> <li>Lattice iCEcube2</li> <li>Open-source toolchain (Yosys, nextpnr, Project IceStorm)</li> </ul> <p>Projects:</p> <ul> <li>blinky: A simple example design that is included in the open-source toolchain.</li> <li>ehw: An evolved design.</li> <li>attosoc: A minimal RISC-V system on a chip, that is used for tests in the open-source toolchain.</li> <li>updater: A design that receives a new configuration, decrypts it (AES) and writes it to flash.</li> <li>picosoc: RISC-V system on a chip</li> </ul> <p>Compaction levels:</p> <ul> <li>original: Uncompacted bitstream</li> <li>builtin: Compacted with two methods also available in iCEcube2</li> <li>compact: Compacted with all five methods</li> </ul> <p>Compression tools:</p> <ul> <li>icecompr: Included in Project IceStorm</li> <li>gzip: Version 1.9, compression level --best</li> </ul> <p> </p> <p>File structure:</p> <p>The data is organzied hierarchical. It is first split between bitstreams, measurements and compressed versions. Bitstreams and measurements then are divided by toolchain, then by project and finally by compaction level. The compressed versions are divided by toolchain, then by project and finally by compression tool.</p>
Fluid Drag Reduction by Magnetic Confinement
<p>Drag reduction of viscous liquid (Honey) with ferrofluid APG314.</p> <p>Friction factors and Reynolds number.</p> <p>Numerical simulations</p> <p>Microfluidics drag reduction</p> <p> </p>
Raw data for the journal article "Cracks as efficient tools to mitigate flooding in gas diffusion electrodes used for the electrochemical reduction of carbon dioxide"
<p>This data set corresponds to the article by Kong et al. entitled "Cracks as efficient tools to mitigate flooding in gas diffusion electrodes used for the electrochemical reduction of carbon dioxide", published in Small Methods</p>
Data repository for the publication "Economic Interests Cloud Hazard Reductions in the European Regulation of Substances of Very High Concern"
<p>This repository contains the data and scripts associated with the article “Economic Interests Cloud Hazard Reductions in the European Regulation of Substances of Very High Concern“, written by Jessica Coria, Erik Kristiansson and Mikael Gustavsson.</p>
dataset: Responses of the structure and function of the understory plant communities to precipitation reduction across forest ecosystems in Germany
<p><strong>Context</strong>: Understory plant communities play a central role in forest biogeochemistry and the recruitment of trees making up the future forest. It is so far poorly understood how climate change will affect understory structure and functions in forest of different management intensity.</p> <p> </p><p><strong>Aims</strong>: We monitored understory functional traits including transpiration and carbon isotope discrimination, community structure and diversity during two growing seasons as affected by drought in forests subjected to different management intensities. We hypothesized that drought would affect ecophysiological traits such as transpiration but not species richness and diversity. Moreover, we assumed that stand-specific characteristics and forest management intensity modify the drought-resistance of the understory community.</p> <p></p> <p><strong>Methods</strong>: We set up roofs in beech and conifer stands with different management intensity in three different regions across Germany and a drought event close to the 2003 drought was imposed in two consecutive years.</p> <p><strong>Results</strong>: Precipitation reduction decreased soil water content by 2 to 8%, depending on stand and region, in comparison to the control subplots. In the first year, leaf level transpiration was reduced for different functional groups, which scaled to community transpiration modified by additional effects of drought on functional group specific leaf area. Acclimation effects in most functional groups were observed in the second year. We did not observe a significant reduction of plant diversity or a consistent management effect upon drought.</p> <p><strong>Conclusion</strong>: Our results indicate high plasticity and acclimation responses of the forest understory vegetation to changing climate conditions and recurrent drought events.</p> <p><strong>Abbreviations:</strong></p> <p>sp12 - campaign spring 2012; ls12 - campaign late summer 2012; es13 - campaign early summer 2013; ls13-campaign late summer 2013</p> <p>SEW16 - Schorfheide plot 16; SEW49 - Schorfheide plot 49; SEW48 - Schorfheide plot 48;HEW03 - Hainich plot 03; HEW12 - Hainich plot 12; HEW47- Hainich plot 47; AEW13 - Alb plot 13; AEW29 - Alb plot 29; AEW08 - Alb plot 08<br> explo - exploratory<br> SEW - Schorfheide; HEW - Hainich; AEW - Schwäbische Alb<br> in - conifer intensive managed; ma - beech managed; un - beech unmanaged<br> c- control; r - roof<br> LAIs - community leaf area index m<sup>2</sup>/m<sup>2</sup>; H - Shannon´s diversity index; Ts - community transpiration rate (weighted by LAI) mmol H<sub>2</sub>O m-<sup>2</sup> leaf area s-<sup>1</sup>; Ets - Evapotranspiration (mmol/m2/sec); E - Evaporation (mmol/m2/sec); C - leaf photosynthetic carbon isotope discrimination (∆<sup>13</sup>C) according to Farquhar et al. (1982); Cs - community photosynthetic carbon isotope discrimination (∆<sup>13</sup>C) according to Farquhar et al. (1982) (weighted by LAI)</p> <p> </p>
Dataset for publication "Parallel experiments in electrochemical CO2 reduction enabled by standardized analytics"
<p>Dataset for the publication: "<strong>Parallel experiments in electrochemical CO<sub>2</sub> reduction </strong><strong>enabled by standardized analytics</strong>", https://doi.org/10.1038/s41929-024-01172-x,<strong> </strong>divided by paper Figure. The dataset contains data that are both raw and processed using the open-source software available at http://dgbowl.github.io </p>
Data of publication Controlled size reduction of rare earth doped nanoparticles for optical quantum technologies
<p>Data corresponding to the figures of the publication " Controlled size reduction of rare earth doped nanoparticles for optical quantum technologies" by S. Liu et al. (https://pubs.rsc.org/en/content/articlelanding/2018/ra/c8ra07246a#!divAbstract). A text file describes data in each compressed folder, please refer to the publication for more details. </p>
Structure Sensitivity in the Electrocatalytic Reduction of CO2 with Gold Catalysts
<p>Dataset for the manuscript:</p> <p>Mezzavilla, Stefano, Sebastian Horch, Ifan E. L. Stephens, Brian Seger, and Ib Chorkendorff. “Structure Sensitivity in the Electrocatalytic Reduction of CO <sub>2</sub> with Gold Catalysts.” <em>Angewandte Chemie International Edition</em>, February 11, 2019. <a href="https://doi.org/10.1002/anie.201811422">https://doi.org/10.1002/anie.201811422</a>.</p> <p> </p> <p>The following files have been uploaded:</p> <p>1) "raw-data- figures and tables" - Excel file with all the data used in the figures and tables (both main text and SI)</p> <p>2) "Exerimental Methods" - Word file with the details of all the experimental methods used in the work</p> <p> </p>
Data and Code for: Multiscale habitat mediates pest reduction by birds in an intensive agricultural region
<p>Associated data and analyses code for<em> </em>the publication:</p> <p><strong>Heath, Sacha K. and R. F. Long. 2019. Multiscale habitat mediates pest reduction by birds in an intensive agricultural region. Ecosphere 10(10):ecs2.2884. DOI: 10.1002/ecs2.2884</strong></p> <p>The home directory folder <em>Heath_Long_2019_data_code</em> contains a metadata.txt file describing entire contents and an Rstudio Project (<em>Heath_Long_2019_data_code</em>)<em> </em>comprised of four Rstudio Notebooks. Each notebook refers to data and output files from its associated folder(s):<br> <em>./appendix_s1_tabs2_tabs4.Rmd<br> ./pca_data/ <br> ./bird_analyses.Rmd<br> ./bird_data/<br> ./predation_analyses.Rmd<br> ./predation_data/<br> ./predation_data/predation_models/<br> ./predation_analyses_nocage.Rmd <br> ./predation_data/<br> . /predation_data/uncaged_predation_models/</em></p> <p> </p>
Databases with structures used for "Improving the Activity of M-N4 Catalysts for the Oxygen Reduction Reaction by Electrolyte Adsorption"
<p>DFT optimised structures used for the paper "Improving the Activity of M-N<sub>4</sub> Catalysts for the Oxygen Reduction Reaction by Electrolyte Adsorption". There is a separate database for structures with Cr, Mn, Fe and Co as the central metal atom in the M-N4 motif, and one with the molecular references. The structures can be retrieved using the Atomic Simulation Environment (ASE).</p>
Dataset for the article "Influence of oxidative and consequential reductive annealing on the photoluminescence intensity, decay time and morphology of ZnO single-crystal faces".
<p>Dataset for the article "Influence of oxidative and consequential reductive annealing on the photoluminescence intensity, decay time and morphology of ZnO single-crystal facets".</p> <p>David John1,2, Zdeněk Remeš1, Radim Novák1, Štěpán Remeš1, Jakub Volf1,3,4, Oleg Babčenko1, Egor Ukraintsev5, Bohuslav Rezek5, and Maksym Buryi3</p> <p>1 Institute of Physics of the Czech Academy of Sciences, Cukrovarnická 10/112, 162 00, Prague, Czech Republic<br>2 Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Břehová 7, 115019, Prague, Czech Republic<br>3 Institute of Plasma Physics of the Czech Academy of Sciences, U Slovanky 2525/1a, 182 00, Prague, Czech Republic <br>4 Department of Inorganic Chemistry, University of Chemistry and Technology, Technická 5, Prague 6, 166 28, Czech Republic<br>5 Faculty of Electrical Engineering of the Czech Technical University, Technická 2, 160 00, Prague, Czech Republic</p> <p> </p> <p>Dataset description:</p> <p>08_08_2024_ZnO_41a_700C_O_CF4_Multi75_10x10um.0_00000 AFM data<br>08_08_2024_ZnO_41a_700C_O_CF4_Multi75_10x10um.0_00003 AFM data<br>16_08_2024_ZnO_700C_O_CF4Multi_10x10um.0_00001 AFM data<br>16_08_2024_ZnO_700C_O_CF4Multi_10x10um.0_00003 AFM data<br>afm zn AFM data<br>data phase shift fit phase shift data<br>grafy phase shift fit phase shift data<br>ZnO faces optical images</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.