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1,610 results for “ratio”
Advanced Redox Electrochemical Capacitor Diode (CAPode) based on Parkerite (Ni3Bi2S2) with High Rectification Ratio for Iontronic Applications
<p>Recently, CAPodes were introduced as a new type of capacitive diode analogues. This device realizes unidirectional charging of ultracapacitors based on ion sieving mechanisms. Here, we present a new redox CAPode system in which hydroxide ions react with nickel bismuth sulfide on nickel foam as a battery-like electrode. This redox reaction leads to a high capacitance in a specific polarization window. However, for reversed bias this Faradaic electrode becomes inactive as it does not react with potassium cations, resulting efficient blocking. By adapting counter electrode materials, mass loading, utilized substrates, and electrolyte concentrations a very high rectification ratio (<em>R<sub>I</sub></em> = 37 and <em>R<sub>II</sub></em> = 0.96 at 10 mV s<sup>-1</sup>) was achieved, significantly surpassing the performance of other reported redox-type CAPodes. Moreover, this system shows an outstanding long-term stability of a rectification retention of 90% for <em>R<sub>II</sub></em> over 5000 repolarization cycles. Additionally, operando electrochemical measurements provide deep insights into the charge/discharge mechanism leading to a rationalization of the proposed concept. The integrated device, tested in logic gate circuits such as AND and OR gates, shows prospective results in ionologic applications.</p>
Data and R script for 'Evaluating the cyclic ratio schedule as an assay of feeding behaviour in the European starling (Sturnus vulgaris)'
<p>Data files and R script for Dunn et al. "Evaluating the cyclic ratio schedule as an assay of feeding behaviour in the European starling (<em>Sturnus vulgaris</em>)"</p> <p>Includes a single R script that produces all the analyses in the paper. The script makes use of three different .csv data files.</p>
Dataset _ Influence of liquid-to-biogas ratio and alkalinity on the biogas upgrading performance in a demo scale algal-bacterial photobioreactor
<p>This is the dataset used for the publication of the journal article title<em> “</em><strong>Influence of liquid-to-biogas ratio and alkalinity on the biogas upgrading performance in a demo scale algal-bacterial photobioreactor</strong><strong>”. </strong>In this dataset there is all the information collected in the experimentation process.</p>
IAO Data: Turbulent Enhancement Ratio and Flux Ratio
<p>This dataset comprises measurements from the Innsbruck Atmospheric Observatory (IAO) spanning from mid-2018 to early 2022. It includes flux data for CO2 and NOx, QA/QC flags, Turbulent Enhancement Ratios (NOx/CO2), VMR for CO2 and NOx, as well as various meteorological parameters utilized in different publications.</p> <p>The dataset is processed in Matlab R2023a and is a structured mat-file containing the following fields:</p> <table> <tbody> <tr> <td> <p>> EC > CO2<br>> EC > NOx<br>> EC > flag<br>> MET > dd<br>> MET > ff<br>> MET > Tair<br>> MET > p<br>> TER > NOx_CO2<br>> TER > flag<br>> time</p> </td> <td> <p>CO2 flux [umol/m2s]<br>NOx flux [nmol/m2s]<br>QA/QC flag<br>wind direction [°]<br>wind speed [m/s]<br>air temperature [K]<br>pressure [mbar]<br>Turbulent Enhancement Ratio NOx over CO2 [nmol/umol]<br>QA/QC flag<br>time in matlab format (datenum) [UTC]</p> </td> </tr> </tbody> </table> <p>Additionally, the dataset includes fields for contact information, headers, and metadata. Each data point is calculated at a 30-minute interval.</p>
Truncated Marginal Neural Ratio Estimation - Data
<p>The dataset accompanying <em>Truncated Marginal Neural Ratio Estimation</em>. The software repository can be found <a href="https://github.com/bkmi/tmnre">here</a>. The arxiv article can be found <a href="https://arxiv.org/abs/2107.01214">here</a>.</p>
Contrastive Neural Ratio Estimation - Data
<p>The dataset generated by experimental results from <em><strong>Contrastive Neural Ratio Estimation</strong></em>. The code can be found <a href="https://github.com/bkmi/cnre">here</a>. The paper can be found <a href="https://arxiv.org/abs/2210.06170">here</a>.</p>
Leaf water and stem cellulose oxygen isotope ratios simulated with global dynamic vegetation model LPX-Bern
<p>Description of leaf water and stem cellulose oxygen isotope ratios simulated with LPX-Bern</p> <p>Citation of describing paper:</p> <p>Keel SG, Joos F, Spahni R, Saurer M, Weigt RB, Klesse S. 2016. Simulating oxygen isotope ratios in tree ring cellulose using a dynamic global vegetation model, Biogeosciences, 13, 3869–3886, 2016 doi:10.5194/bg-13-3869-2016</p> <p>download: www.biogeosciences.net/13/3869/2016/</p> <p>General Information: Format: NetCDF, gridded</p> <p>Model: Dynamic global vegetation model LPX-Bern Version 1.0 (Land surface Processes and eXchanges, Bern) (Spahni et al., 2013; Stocker et al., 2013)</p> <p>Resolution: 3.75° x 2.5° lat/lon global Time: Monthly from Jan 1960 to Dec 2012</p> <p>Variables:</p> <p>cellu18: monthly stem cellulose δ18O (per mil) lw18: monthly leaf water δ18O (per mil) -2 NPP: monthly net primary production (g C m ) FPC: monthly fractional plant cover</p> <p>Dimensions: i=longitude, j=latitude, l=time, k=plant functional type Codes for plant functional types (k):</p> <ol> <li> <p>1 tropical broad-leaved evergreen</p> </li> <li> <p>2 tropical broad-leaved deciduous (raingreen)</p> </li> <li> <p>3 temperate needle-leaved evergreen</p> </li> <li> <p>4 temperate broad-leaved evergreen</p> </li> <li> <p>5 temperate broad-leaved deciduous (summergreen)</p> </li> <li> <p>6 boreal needle-leaved evergreen</p> </li> <li> <p>7 boreal needle-leaved deciduous (summergreen)</p> </li> <li> <p>8 boreal broad-leaved deciduous (summergreen)</p> </li> <li> <p>9 temperate herbaceous</p> </li> <li> <p>10 tropical herbaceous</p> </li> </ol>
Representative sequences for colorectal cancer additive log ratios
<p>Representative sequences and corresponding feature rank tables calculated in Debelius et al, The local tumor microbiome is associated with survival in late-stage colorectal cancer patients (doi: https://doi.org/10.1101/2022.09.16.22279353)</p> <p> </p> <p>file_s1_tissue_alr_sequences.fasta goes with tissue_only_ranks.tsv and corresponds to Figure 1 in the manuscript.</p> <p>file_s2_interaction_dr_sequences.fasta corresponds to figure 2 and links to interaction_models_interaction_ranks.tsv and interaction_models_tissue_ranks.tsv</p> <p> </p> <p>file_s3_tumor_rPCA_alr_sequences.fasta corresponds to Figure 3 and links to tumor_survival_index_ranks_file3.tsv.</p> <p> </p> <p>The rank files provide the rank and rank group; the fasta files provide the reference sequences for the data. </p>
Data of the characterisation of conventional 87Sr/86Sr isotope ratios in cement, limestone and slate reference materials based on an interlaboratory comparison study
<p>This dataset represents the electronic supplementary material (ESM) of the publication entitled "Characterisation of conventional <sup>87</sup>Sr/<sup>86</sup>Sr isotope ratios in cement, limestone and slate reference materials based on an interlaboratory comparison study", which is published in Geostandards and Geoanalytical Research under the DOI: 10.1111/GGR.12517. It consists of four files. 'ESM_Data.xlsx' contains all reported data of the participants, a description of the applied analytical procedures, basic calculations, the consensus values, and part of the uncertainty assessment. 'ESM_Figure-S1' displays a schematic on how measurements, sequences and replicates are treated for the uncertainty calculation carried out by PTB. 'ESM_Technical-protocol.pdf' is the technical protocol of the interlaboratory comparison, which has been provided to all participants together with the samples and which contains bedside others the definition of the measurand and guidelines for data assessment and calculations. 'ESM_Reporting-template.xlsx' is the Excel template which has been submitted to all participants for reporting their results within the interlaboratory comparison. Excel files with names of the the structure 'GeoReM_Material_Sr8786_Date.xlsx' represent the <em>R</em><sub>con</sub>(<sup>87</sup>Sr/<sup>86</sup>Sr) data for a specific reference material downloaded from GeoReM at the specified date, e.g. 'GeoReM_IAPSO_Sr8786_20221115.xlsx' contains all <em>R</em><sub>con</sub>(<sup>87</sup>Sr/<sup>86</sup>Sr) data for the IAPSO seawater standard listed in GeoReM until 15 November 2022.</p>
Shear modulus reduction and damping ratio curves collected from multiple literature sources available in Italy
<p><em>Data</em> are 485 G/G<sub>0 </sub>(γ) and damping ratio, D(γ) curves collected from multiple literature sources available in Italy. Each curve was associated with the related engineering geological units considered in seismic microzonation studies. The data focus on providing reference information that can serve as key data for large-scale hazard assessments worldwide and to guide the translation of information from the laboratory scale to the scale of geological-engineering cross-sections.</p>
Dataset for: Improving the accuracy of δ18O and δ17O values of O2 measured by continuous-flow isotope-ratio mass spectrometry with a multi-point isotope-ratio calibration
<p>Dataset containing raw and treated isotope-ratio mass spectrometry and laser absorption spectroscopy data, accompanying the manuscript "Improving the accuracy of δ18O and δ17O values of O2 measured by continuous-flow isotope-ratio mass spectrometry with a multi-point isotope-ratio calibration". This dataset also contains O2 concentration and partial pressure data used for figures in the associated manuscript.</p>
Throughfall and Isotopic Ratios on WS1 at the Andrews Experimental Forest, 2010-2011
The data in this set describes the throughfall collection on WS1 during 2010 and 2011, as well as the isotopic data assessed from these samples. In the Fall of 2010 there were eleven collection periods and in the Spring of 2011 there were eight collection periods. Data is no longer being collected. Throughfall and rainfall were measured at point locations, measured for the quantity and isotopic composition (Oxygen-16/18 and Hydrogen/Deuterium). Stemflow was also collected off of two PSME trees, one on the north-facing and one on the south-facing slope. These are the "plots" for this study, although they have no defined radius. During the Fall 2010 collection period, thirteen collectors were used, near the stream channel, along the trail in WS1. During the Spring 2011, there were eighteen collectors at each of two plots. Rainfall was also measured in an opening at the WS1 landing for comparison.
Kelp canopy chlorophyll to carbon ratio derived from aerial hyperspectral imagery
This dataset represents a time series of giant kelp canopy chlorophyll to carbon ratio (Chl:C) derived from aerial hyperspectral imagery, along with associated environmental, canopy age determinations, and validation datasets. Additional data from a frond cohort experiment are also presented, representing empirical observations of the decline in chlorophyll pigment concentration with blade age. This dataset contains eight geotiff rasters showing canopy Chl:C at a 30-meter pixel resolution for giant kelp forests in the Santa Barbara Channel during the months of April, June, and August from 2013 – 2015.
Bowen Ratio Evapotranspiration Data at the Sevilleta National Wildlife Refuge, New Mexico, 1996-1999
This file contains data collected from 1996-1999 at a Bowen ratio tower adjacent to the Deep Well Meteorological Station at Deep Well (Station 40). The Bowen ratio method employs a method of measuring the temperature and vapor pressure gradient over a vegetation canopy to quantify evapotranspiration from that canopy.
Figs 1–7. Ratio b in The genus Trichorhina Budde-Lund in Brazil, with description of seven new species (Isopoda, Oniscidea, Platyarthridae)
Figs 1–7. Ratio b/c and d/c of noduli laterales on pereonites I–VII: 1, Trichorhina biumbonata sp. nov.; 2, Trichorhina crassisetae sp. nov.; 3, Trichorhina lenkoi sp. nov.; 4, Trichorhina myrmecophila sp. nov.; 5, Trichorhina orensis sp. nov.; 6, Trichorhina sexdens sp. nov.; 7, Trichorhina tropidocerata sp. nov.
Transport Ratios for Plasma Waves Observed by MAVEN at Mars
<p>Transport ratios calculated for coherent plasma waves observed upstream from Mars by the Mars Atmosphere and Volatile EvolutioN (MAVEN) mission. These values were calculated by sub-sampling the ion velocity distribution measurements made by the Solar Wind Ion Analyzer (SWIA) instrument and binning them by the wave phase as estimated from the vector magnetic field measured by the Magnetometer (MAG) instrument. </p>
The Set Increment with Limited Views Encoding Ratio (SILVER) Method for Optimizing Radial Sampling of Dynamic MRI: Supporting Data
<p>This data was created to perform the first experiments with the SILVER method of optimizing radial MRI acquisition. The files are mainly .mat files containing the numerical data used to assess the SILVER method using MATLAB (Version R2018b). Instructions on how to use the data and how to reproduce the experiments are available on https://github.com/SophieSchau/SILVER</p>
Trace gas mixing ratios measured over the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition.
<p><strong>Dataset abstract</strong></p> <p>The authors would highly appreciate to be contacted if the data is used for any purpose.</p> <p>We measured mixing ratios of CO, CO<sub>2</sub> and CH<sub>4</sub> with a PICARRO G2401 Gas Analyzer. Ozone (O<sub>3</sub>) mixing ratios were measured with a 2B Technology ozone monitor, model 205. We report five-minute averaged data cleaned from exhaust gas influence. Temporal coverage is from December 20, 2016 to April 10, 2017.</p> <p>The trace gas concentrations represent a large number of atmospheric processes that happen on different time scales. CO for example, has basically no sources other than combustion and can hence be used as tracer for air mass transport from regions with combustion activities (e.g., South Africa). CO has a lifetime of a few weeks. CO<sub>2</sub> and CH<sub>4</sub> are longer-lived trace gases which disperse globally. The data set shows that concentrations in the Northern Hemisphere are higher than in the Southern Hemisphere. Both trace gases are emitted by anthropogenic activities as well as natural sources. Over the cruise track, areas of the Southern Ocean were passed where these trace gases either outgas or are absorbed. Ozone is a secondary trace gas, meaning that it is formed in the atmosphere. It’s concentrations are relatively low.</p> <p>All trace gases data have been cleaned from exhaust gas influence.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ACESPACE_trace_gas_concentration.csv, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> <li>change_log.txt, metadata, text</li> </ul> <p>NaN values denote missing values because of e.g., ship exhaust contamination or instrument maintenance. For latitude and longitude, NaN values are noted in cases where position data was not available for the given time period.</p> <p><strong>Dataset license</strong></p> <p>This trace as mixing ratio dataset from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p> <p><strong>Change log</strong></p> <p>v1.1 - data file updated<br> - Ozone was corrected because a wrong calibration factor was applied in version 1.0<br> - CO2 and CH4 are now dry mixing ratios, the previous data were not corrected for water vapour<br> - README updated accordingly with details of changes to processing<br> - added change_log.txt file</p> <p>v1.0 - initial release of dataset</p>
Seismic release ratio of 2012 Emilia seismic source during the Earthquake sequances
<p>Seismology data of 2012 seismic sequence for calculate the seismir release ratio model along main seismic source. Data are download from INGV and DISS INGV catalogs. </p>
The Sonora Substellar Atmosphere Models. IV. Elf Owl: Atmospheric Mixing and Chemical Disequilibrium with Varying Metallicity and C/O Ratios (T- type Models)
<ul> <li><strong>Overview of V2: "The Sonora Substellar Atmosphere Models. V: A Correction to the Disequilibrium Abundance of CO2 for Sonora Elf Owl"</strong></li> </ul> <p> Version 2 of the Sonora Elf Owl Models updates the CO2 and PH3 abundances and spectra. As described in the Wogan et al. (2024) research note (URL OF NOTE GOES HERE), Version 1 of the models did not apply the CO2 quench approximation properly resulting in predicted CO2 abundances that were too small by several orders of magintude in some cases. Version 2 fixes this mistake, updating CO2 abundances and the emission spectra to reflect the new CO2 abundances. Version 2 also removes all spectra contributions of PH3 because Version 1 consistently contained too much PH3 absorption when compared to JWST data (Veiler et al. 2024, <a href="http://doi.org/10.3847/1538-4357/ad6759" target="_blank" rel="noopener noreferrer">http://doi.org/10.3847/1538-4357/ad6759</a>).</p> <p> </p> <ul> <li><strong>Overview of V1</strong></li> </ul> <p> The Sonora Elf Owl Models is a successor to the <a href="../records/5063476#:~:text=This%20particular%20set%20of%20model,g%20are%200.25%20or%200.5.">Sonora Bobcat</a> and <a href="../records/4450269">Sonora Cholla</a> models. The Sonora Elf Owl model grid includes cloud-free radiative-convective equilibrium model atmospheres with vertical mixing induced disequilibrium chemistry with sub-solar to super-solar atmospheric metallicities and Carbon-to-Oxygen ratio. The atmospheric models have been computed using the open-source radiative-convective equilibrium model <a href="https://natashabatalha.github.io/picaso/">PICASO</a>. The parameters included within this grid are effective temperature (<strong><em>Teff</em></strong>), gravity (<strong><em>log(g)</em></strong>), vertical eddy diffusion coefficient (<strong><em>log(Kzz)</em></strong>), atmospheric metallicity (<strong><em>[M/H]</em></strong>), and Carbon-to-Oxygen ratio (<strong><em>C/O</em></strong>).</p> <p>The ranges and increments of these parameters are described in the published paper.<br><br></p> <ul> <li><strong>Three grids available on three links</strong></li> </ul> <p><strong> The model grid has been presented using three Zenodo repositories. This repository has all the models between 575 to 1200 K (applicable for T- type objects). The models for Teff between 275 to 550 K (applicable for Y- type objects) are available in the Zenodo DOI :- <a href="../records/10381250">https://zenodo.org/records/10381250</a>. The models for Teff between 1300 to 2400 K (applicable for L- type objects) are available in the Zenodo DOI :- <a href="../records/10385987">https://zenodo.org/records/10385987</a>.</strong></p> <p> </p> <ul> <li><strong> File types and how to use them</strong></li> </ul> <p> The models have been presented in the Xarray format so that all the atmospheric properties including the T(P) profile, atmospheric chemistry, and thermal emission spectra can be accessed within the same files. A python based Jupyter notebook named "Reading and plotting Elf Owl Models.ipynb" has been also supplied which demonstrates how to open and use these files.</p> <ul> <li> <strong>Spectra</strong></li> </ul> <p> The emission spectra for each atmospheric model has been computed between 0.6 to 15 microns. The reported flux is in the units of erg/s/cm<sup>2</sup>/cm. Note that these fluxes need to be multiplied with R<sup>2</sup>/D<sup>2</sup> before comparing them with the typically observed flux of brown dwarfs/exoplanets. R is the radius of the object, and D is the distance here.</p> <div> </div> <div> <ul> <li><strong>Note on CH4</strong></li> </ul> </div> <p> As stated in <a href="https://ui.adsabs.harvard.edu/abs/2023ApJ...942...71M/abstract">Mukherjee et al. 2023 </a>our CH4 opacity is derived using the <a href="https://iopscience.iop.org/article/10.3847/1538-4365/ab7a1a">Hargreaves et al. 2020</a> HITEMP line list and computed using the HAPI code (<a href="https://www.sciencedirect.com/science/article/abs/pii/S0022407315302466">Kochanov et al. 2016</a>). HAPI automatically pre-weights the isotopologues according to earth abundances that are listed on the HITRAN website (<a href="https://hitran.org/lbl/2?6=on" target="_blank" rel="noopener noreferrer">see here for CH4</a>). Therefore, users should note that there will be minor features of CH3D included in the models. Given the general absence of deuterated molecules in brown dwarfs (Teff>~300) we will include a second posting of models which includes the Elf Owl grid with <strong>only</strong> the major CH4 isotopologue (12C-H4).</p> <div> <ul> <li><strong>Note on PH3</strong></li> </ul> </div> <p> PH3 abundance is treated separately from the general disequilibrium scheme. This is because of the current non-detection of PH3 in many brown dwarf atmospheres (see citations in paper). The current PH3 treatment uses the chemical equilibrium treatment described in Visscher et al. However, after publishing this grid and using the model for analysis of high precision JWST data, we noticed that even the simple chemical equilibrium treatment which reduces the abundance, introduces a noticeable PH3 feature. Therefore in our v2 of this model grid we will further diminish the abundance.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.