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33,754 results for “Enhancers”
Data for: Brown juice assisted ensiling of straw and press cake for enhanced biogas production and nutrient availability in digestates
<p>Data for: <span>Brown juice assisted ensiling of straw and press cake for enhanced biogas production and nutrient availability in digestates (https://doi.org/10.1016/j.eti.2023.103248)</span></p>
Dataset: Mesoporous Electrodes Enhance the Electrocatalytic Performance of [FeFe]-Hydrogenase
<p>Dataset for: <a href="https://doi.org/10.1002/anie.202416658">https://doi.org/10.1002/anie.202416658</a> </p> <p> </p>
Pleiotropic Expression Quantitative Trait Loci Are Enriched in Enhancers and Transcription Factor Binding Sites and Impact More Genes
<p>This dataset comprises two files that accompany the article (link to be added upon publication).</p> <h2>1. gwas2eqtl_colocalization_full.tar.gz</h2> <p>This file contains the complete colocalization dataset generated using the code from the following GitHub repository: gwas2eqtl. This dataset is used as input for the pleiotropic eQTL analysis available at gwas2eqtl_pleiotropy, which produces the figures in the article.</p> <p><strong>File structure:</strong></p> <blockquote> <p>.<br>└── gwas417<br> └── coloc<br> ├── ebi-a-GCST000998<br> │ └── pval_5e-08<br> │ └── r2_0.1<br> │ └── kb_1000<br> │ └── window_1000000<br> │ ├── Alasoo_2018_ge_macrophage_IFNg+Salmonella.tsv<br> │ ├── Alasoo_2018_ge_macrophage_IFNg.tsv<br>...</p> </blockquote> <p>Each TSV file contains the following columns:</p> <blockquote> <p>chrom pos rsid ref alt eqtl_gene_id gwas_beta gwas_pval gwas_id eqtl_beta eqtl_pval eqtl_id PP.H4.abf SNP.PP.H4 nsnps PP.H3.abf PP.H2.abf PP.H1.abf PP.H0.abf coloc_variant_id coloc_region<br>1 109272258 rs4970834 C T ENSG00000168765 -0.12874.25001047052626e-09 ebi-a-GCST000998 -0.250697 0.0893351 Alasoo_2018_ge_macrophage_IFNg+Salmonella 0.108283426725895 0.0520205502224409 6 0.000552728832012655 2.09397277427793e-07 0.890881419183881 0.000282215860934432 1_109279544_G_A 1:108779544-109779543<br>1 109274968 rs12740374 G T ENSG00000168765 -0.103341 1.63998546891446e-09 ebi-a-GCST000998 -0.197397 0.172673Alasoo_2018_ge_macrophage_IFNg+Salmonella 0.108283426725895 0.0857585178966856 6 0.000552728832012655 2.09397277427793e-07 0.890881419183881 0.000282215860934432 1_109279544_G_A 1:108779544-109779543<br>1 109275216 rs660240 T C ENSG00000168765 0.1044492.78997299740827e-09 ebi-a-GCST000998 0.214165 0.139318 Alasoo_2018_ge_macrophage_IFNg+Salmonella 0.108283426725895 0.0557749486050279 6 0.000552728832012655 2.09397277427793e-07 0.890881419183881 0.000282215860934432 1_109279544_G_A 1:108779544-109779543<br>1 109275684 rs629301 G T ENSG00000168765 0.1054716.129993302249e-10 ebi-a-GCST000998 0.197397 0.172673 Alasoo_2018_ge_macrophage_IFNg+Salmonella 0.108283426725895 0.22229240584331 6 0.000552728832012655 2.09397277427793e-07 0.890881419183881 0.000282215860934432 1_109279544_G_A 1:108779544-109779543<br>1 109278889 rs602633 T G ENSG00000168765 0.1034352.15998134341707e-09 ebi-a-GCST000998 0.226329 0.102673 Alasoo_2018_ge_macrophage_IFNg+Salmonella 0.108283426725895 0.0782482718431504 6 0.000552728832012655 2.09397277427793e-07 0.890881419183881 0.000282215860934432 1_109279544_G_A 1:108779544-109779543<br>...</p> </blockquote> <p> </p> <p>The dataset provides colocalization statistics for GWAS-eQTL pairs, including posterior probabilities and variant annotations.</p> <h2>2. gwas2eqtl0.1.3.tsv.gz</h2> <p>This file is a filtered version of the colocalization dataset, refined based on cutoffs of PP.H4.abf ≥ 0.75 and SNP.PP.H4 ≥ 0. This subset is utilized in the gwas2eqtl web application for data visualization.</p> <p>Sample Columns:</p> <blockquote> <p>chrom pos19 pos38 cytoband rsid ref alt gwas_trait gwas_class gwas_beta eqtl_gene_symbol eqtl_beta eqtl_id eqtl_gene_id gwas_id gwas_pval eqtl_pval pp_h4_abf snp_pp_h4 tophits_variant_id nsnps<br>1 1163804 1228424 1p36.33 rs7515488 C T Inflammatory bowel disease Autoimmune dis. 0.0874308 ANKRD65 -0.175816 BrainSeq_ge_brain ENSG00000235098 ebi-a-GCST003043 2.85292266979231e-10 0.000841046 0.978425254116226 6.18454060493069e-12 1_1312114_T_C 3<br>1 1163804 1228424 1p36.33 rs7515488 C T Inflammatory bowel disease Autoimmune dis. 0.0874308 ANKRD65 -0.175816 BrainSeq_ge_brain ENSG00000235098 ieu-a-294 2.85292266979231e-10 0.000841046 0.974019788384412 7.52286530905187e-12 1_1312114_T_C 4<br>1 1163804 1228424 1p36.33 rs7515488 C T Inflammatory bowel disease Autoimmune dis. 0.0874308 ANKRD65 -0.293529 CommonMind_ge_DLPFC_naive ENSG00000235098 ebi-a-GCST003043 2.85292266979231e-10 2.30452e-06 0.953333690803618 6.9758581004380506e-15 1_1312114_T_C 6<br>1 1163804 1228424 1p36.33 rs7515488 C T Inflammatory bowel disease Autoimmune dis. 0.0874308 ANKRD65 -0.293529 CommonMind_ge_DLPFC_naive ENSG00000235098 ieu-a-294 2.85292266979231e-10 2.30452e-06 0.951092499048109 7.0876793540547e-15 1_1312114_T_C 7<br>1 1163804 1228424 1p36.33 rs7515488 C T Inflammatory bowel disease Autoimmune dis. 0.0874308 ANKRD65 -0.510549 FUSION_ge_adipose_naive ENSG00000235098 ebi-a-GCST003043 2.85292266979231e-10 1.2212e-06 0.974412793352836 1.70246427912903e-11 1_1312114_T_C 6</p> </blockquote> <p> </p> <p>This filtered dataset focuses on high-confidence colocalization events for functional exploration of genetic associations and regulatory mechanisms.</p>
Automatic Generation of Explanations in Autonomous Systems: Enhancing Human Interaction in Smart Home Environments
<p>The file named “Dataset” is the generation of scenarios and explanations used for the proposal.<br>The file named “Questionnaire answers & data analysis” corresponds to the application of a questionnaire addressed to 118 people.</p>
Operando evidence on the chirality-enhanced oxygen evolution reaction in intrinsically chiral electrocatalysts
<p><span>Additional raw data files for manuscript </span>"Operando evidence on the chirality-enhanced oxygen evolution reaction in intrinsically chiral electrocatalysts"</p> <p>Felipe A. García-Pineda, a Jiahao Yu,a Camilo A. Mesa,b Sergi Plana-Ruiz,c Daniel Ruano,c<br>Yunchang Liang,d Magalí Lingenfelder,d;e Sixto Giménez,b and J. R. Galan-Mascaros, a; f</p> <p>Abstract:<br>Electrolytic hydrogen is identified as a crucial component in the desired decarbonisation of the chemical<br>industry, utilizing renewable energy to split water into hydrogen and oxygen. Water electrolysis<br>still requires important scientific advances to improve its performance and lower its costs. One of the<br>bottlenecks in this direction relates to the sluggish anodic oxygen evolution reaction (OER). Producing<br>anodes with competitive performance remains challenging due to the high energy loses and the<br>harsh working conditions typically imposed by this complex oxidation process. Recent advancements<br>point to spin polarization as an opportunity to enhance the kinetics of this spin-restricted reaction,<br>yielding the paramagnetic O2 molecule. One powerful strategy deals with the generation of chiral<br>catalytic surfaces, typically by surface functionalisation with chiral organic molecules, to promote<br>chiral-induced spin selectivity (CISS) effect during electron transfer. However, the relationship between<br>chirality and enhanced electrocatalysis has been established only from indirect experimental<br>evidences. In this work, we have exploited operando electrochemical and spectroscopic tools to confirm<br>the direct relationship between the faster OER kinetics and the optical activity of enantiopure<br>Fe-Ni metal oxides when compared with their achiral catalysts in alkaline conditions. Our results<br>show the participation of chiral species as reactive intermediates during the electrocatalytic reaction,<br>supporting the appearance of a mechanistic CISS enhancement. Furthermore, these intrinsically chiral<br>transition-metal oxides maintain their enhanced activity in full cell electrolyser architectures at<br>industrially relevant current densities.</p> <p>of Science and Technology (BIST), Av. Paisos Catalans 16, Tarragona, 43007, Spain<br>E-mail: fgarces@iciq.es; jrgalan@iciq.es<br>b Institute of Advanced Materials (INAM), Castelló, Spain, Universitat Jaume I, Av. de<br>Vicente Sos Baynat, Castelló 12006, Spain<br>c SRCIT-Universitat Rovira i Virgili, Avinguda Pa¨õsos Catalans 26, Tarragona, 43007,<br>Spain<br>d Max Planck-EPFL Laboratory for Molecular Nanoscience and Technology, École Polytechnique<br>Fédérale de Lausanne (EPFL), Lausanne, 1015, Switzerland<br>e Helvetia Institute for Science and Innovation, Wollerau, 8832, Switzerland<br>f ICREA, Passeig Lluis Companys, 23, Barcelona, 08010, Spain<br><br></p>
Dataset for "Performance Enhancement of EAD Thrusters with Non-Uniform Emitters Array"
<p>Dataset to reproduce figures of "Performance Enhancement of EAD Thrusters with Non-Uniform Emitters Array"</p>
Wastewater alkalinity addition enhancement for carbon emission reduction and marine CO2 removal
<p>The ROMS_RCA model settings of 2010 runs. The reference date of the 'TIME' variable is 1983-01-01.</p> <p>The files with 'Y2010_' in their names contain the boundary data and initial fileds for the model run. The file "ROMSeutro_1strun.inp" lists all the model parameters, while the files with 'CPB_WWTP_ps' in the names are the settings of the discharges from each WWTP outlet. </p> <p>The data used to generate the figures are provided in the MAT file.</p>
3D-Printed Pulsator to Enhance Mass Transfer in Electrochemical Reactors HardwareX submission
<p>This repository contains CAD drawing, data, Python codes, and Arduino sketch files for submission to HardwareX journal titled "3D-Printed Pulsator to Enhance Mass Transfer in Electrochemical Reactors". The CAD file can be open with FreeCAD 1.1.0dev or newer. Python codes were used to analyzed and generate figures from electrochemical data for the publication. Arduino sketch files were use for controlling the electrical motor used in the experimental setup for the publication.<br><br>The abstract of the publication is provided below.<br><br>This study presents a cost-effective diaphragm pulsator, constructed for approximately €500, designed to enhance mass transport in laboratory electrochemical reactors. The pulsator allows accurate control of pulsation frequency between 1 Hz and 6 Hz and displacement volume, with simple programmability using an Arduino microcontroller. The design features multiple chambers that effectively isolate corrosive liquids from the mechanical components, ensuring durability and extended operational life. The pulsator's 3D-printed components can be customized with different materials to suit various applications. Engineered to generate a pulsating flow profile that closely resembles a sinusoidal wave, video tracking analysis confirmed the sinusoidal nature of the flow, demonstrating consistent flow profile generation with adjustable frequency and amplitude. The maximum volume displacement achieved was 11.9 mL, which was reduced to 2.0 mL when the electrochemical cell was connected. Limiting current experiments with a ferri/ferrocyanide electrolyte showed that the mass transport coefficient of a typical cell increased from 2.3 × 10⁻³ cm/s under constant flow to 4.5 × 10⁻³ cm/s under pulsating conditions. These findings validate that the adjustable, Arduino-programmable sinusoidal pulsation generated by the diaphragm pulsator offers a practical and customizable method for enhancing mass transport in small-scale electrochemical reactors. </p>
Thesis data: Enhancing Vulnerability Detection: A Comparative Study of Change Identification Methods Across Granularity Levels
<p>Starting dataset used within the thesis; Enhancing Vulnerability Detection: A Comparative Study of Change Identification Methods Across Granularity Levels.</p> <p>Results of manual annotation of and extract of nonPatchTaggedCommitLinks within the NVD CVE dataset.</p>
Data for publication: A food system transformation can enhance global health, environmental conditions and social inclusion
<p>Data related to the publication "A food system transformation can enhance global health, environmental conditions and social inclusion"</p>
Plasmon-enhanced fluorescence (bio)sensors and other bioanalytical technologies
<pre>DATASET DESCRIPTION This Dataset contains the raw data from the following publication: ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Plasmon-enhanced fluorescence (bio)sensors and other bioanalytical technologies Dario Cattozzo Mor, Gizem Aktug, Katharina Schmidt, Prasanth Asokan, Naoto Asai, Chun Jen Huang, Jakub Dostalek* *corresponding author: dostalek@fzu.cz (J. Dostalek) Trends in Analytical Chemistry </pre>
Image Enhancement with Fractional Calculus
<p>The video included in this repository shows some examples of image enhancement by exploiting fractioal calculus. The input images (showed on the left part of the video) are those of the dataset BSIMAGE downloadable from https://zenodo.org/records/13903974. The output image (on the right part of the video) are obtained by an algorithm exploiting both integer- and fractional-order image gradients, described in the paper cited below.</p>
An enhanced single Gaussian point continuum finite element formulation using automatic differentiation: Source code and data
<p>This dataset contains the source code and the data with an example of uniaxial strain of an enhanced single Gaussian point continuum finite elemnet formulation using automatic differentiation.</p> <p> </p> <p>This contribution presents a low-order 3D finite element formulation with hourglass stabilization using automatic differentiation. Here, the former Q1STc element formulation is enhanced by an approximation-free computation of the inverse of the Jacobian. The improved version is termed "Q1STc+."</p> <p> </p> <p>The corresponding publication is:</p> <p><br>Pacolli, N., Awad, A., Kehls, J., Sauren, B., Klinkel, S., Reese, S., Holthusen, H.<br><em>An enhanced single Gaussian point continuum finite elemnet formulation using automatic differentiation.</em></p> <p>Standalone_Elementroutine: <em>Q1STc+_Codes</em> contains:</p> <ul> <li><strong>main.f90</strong>: Standalone routine for local uniaxial strain test</li> <li><strong>Makefile</strong>: Makefile to create executable "Q1STc+"</li> <li><strong>elem40.f90</strong>: Element routine "Q1STc+" with elem_sub.f90 as the subroutine written in AceGen</li> <li><strong>mat52.f90</strong>: Elasto-plastic material routine with all subroutines written in AceGen</li> <li><strong>elem_mat_select.f90</strong>: The selected material routine (Here: mat52)</li> <li><strong>elem_subs.f90</strong>: Subroutines for elem40.f90</li> <li><strong>mat_subs.f90</strong>: Subroutines for mat52.f90</li> </ul>
Root-knot nematode infection of Brassica rapa enhances the performance of a specialist root herbivore via systemically induced responses
<p>Herbivores sharing host plants are often temporally and spatially separated, limiting direct interactions between them. Nevertheless, they can reciprocally influence each other via systemically induced plant responses, as observed in numerous study systems. In contrast, examples of such plant-mediated interactions between belowground herbivores are scarce, but we postulated that they similarly occur given the large diversity of root-interacting soil organisms. To test this hypothesis, we analyzed the performance of <em>Delia radicum</em> larvae feeding on main roots of <em>Brassica rapa </em>plants whose fine roots were infected by the root-knot nematode <em>Meloidogyne incognita</em>. Simultaneously, we studied the effects of <em>M. incognita</em> on <em>D. radicum</em>-induced defense responses and the accumulation of primary metabolites in the main root. We observed that almost 1.5 times as many <em>D. radicum</em> adults emerged from nematode-infected plants, indicating a facilitation effect of <em>M. incognita</em> infection.<em> </em>Although we observed increases in the accumulation of proteins and two essential amino-acids, the strongest effect of nematode-infection was visible in the defense response to <em>D. radicum</em>. We observed a 1.5 times higher accumulation of the defense-related phytohormone JA-Ile in response to <em>D. radicum</em> on nematode-infected plants, coinciding with a 75% increase in indole glucosinolate concentrations. Contrastingly, concentrations of aliphatic glucosinolates, secondary metabolites negatively affecting <em>D. radicum</em>, were 10-25% lower in nematode<em>-</em>infected plants. We hypothesize that the attenuated aliphatic glucosinolate concentrations result from antagonistic interactions between biosynthetic pathways of both glucosinolate classes, which was reflected in the expression of key biosynthesis genes. Our results provide explicit evidence of plant-mediated interactions between belowground organisms via systemically induced responses in roots.</p>
Data set for the study "Interplay between climate and carbon cycle feedbacks could substantially enhance future warming"
<p>This repository contains the data necessary to reproduce the results of the paper: <br>"Interplay between climate and carbon cycle feedbacks could substantially enhance future warming" <br><a href="https://iopscience.iop.org/article/10.1088/1748-9326/adb6be" target="_blank" rel="noopener">https://iopscience.iop.org/article/10.1088/1748-9326/adb6be</a></p> <h3><strong>Data organization:</strong></h3> <p>The Zenodo repository is organized as follows inside of <code>results.zip</code>:</p> <ul> <li>Figure generation are given by "*.pynb" and "*.m" files<br><br></li> <li>Data files as NetCDF output are organized with the following structure inside of <code>data</code>:<br><br> <ul> <li><strong>Experiment/emission scenario</strong>: <code>hist-aer</code>, <code>ssp126</code>, <code>ssp434</code>, and <code>ssp245</code><br><br> <ul> <li><strong>Equilibrium climate sensitivity</strong>: <code>ecs_2.0K</code>, <code>ecs_2.5K</code>, <code>ecs_3.0K</code>, <code>ecs_3.5K</code>, <code>ecs_4.0K</code>, <code>ecs_4.5K</code>, and <code>ecs_5.0K</code><br><br> <ul> <li><strong>Experiment: </strong><code>comp</code>, <code>comp_fix_ch4</code>, <code>comp_fix_co2_ch4</code>, <code>comp_ssp_co2_ch4</code><br><br> <ul> <li><strong>Component</strong>: atmosphere (<code>atm</code>), ocean (<code>ocn</code>), land (<code>lnd</code>), sea ice (<code>sic</code>), carbon dioxide (<code>co2</code>), methane (<code>ch4</code>)<br><br></li> <li><strong>File type</strong>: for some experiments, files are divided into timeseries (<code>*_ts.nc</code>) or 2D data (<code>*.nc</code>)<br><br></li> <li>Note: <code>comp_ssp_co2_ch4</code> are the CLIMBER-X runs which used prescribed concentrations (rather than emissions) and is only available for ECS 3°C<br><br></li> <li>Note: <code>comp_fix_ch4</code> and <code>comp_fix_co2_ch4</code> is only available for ECS 2°C, 3°C, and 5°C (as shown in Fig. 4 in the manuscript)</li> </ul> </li> </ul> </li> </ul> </li> </ul> </li> </ul>
Enhanced Convective Microphysics Scheme and Its Impacts on Mean Climate Simulation in E3SM
<ol> <li>Simulation data of E3SM with an enhanced convective microphysics scheme.</li> <li>Source code of E3SM with an enhanced convective microphysics scheme.</li> </ol>
Enhanced Majorana stability in a three-site Kitaev chain
<p>This repository contains all the raw data and the code used to generate the figures of the article "Enhanced Majorana stability in a three-site Kitaev chain".<br><br>A "kitaev3_simulations.ipynb" notebook generates all the theory simulations and a "kitaev3_figures.ipynb" notebook generates all the figures. To be able to run them you can install anaconda, create a fresh environment and install the proplot, jupyterlab, xarray, netcdf4, tqdm python packages as in the following example:</p> <pre><code>conda create -n kitaev3 python=3.10 conda activate kitaev3 conda install proplot conda install jupyterlab conda install xarray netcdf4 conda install tqdm</code></pre> <p>Alternatively, you can install the environment from the env.yml file we provide and run the notebooks as follows:</p> <pre><code>conda env create -f env.yml conda activate kitaev3 jupyter lab</code></pre> <p>In addition, in "raw_data > databases-and-notebooks" we share the entire QCoDeS databases from which the measurements shown in the manuscript are extracted. They contain the tuning of our device's quantum dots, the optimization of the tunneling barriers and much more. We include our measurement logs in PDF form for easy browsing.</p>
Data and code from: Healthy young adults use distinct gait strategies to enhance stability when walking on mild slopes and when altering arm swing
<p>This repository contains the Julia code, Jupyter notebook, and data used in the study “Healthy young adults use distinct gait strategies to enhance stability when walking on mild slopes and when altering arm swing” by MacDonald et al.</p> <p><strong>Instructions</strong></p> <p>To run this analysis on your computer, both Julia and Jupyter Notebook must be installed. A version of Julia appropriate for your OS can be downloaded from the <a href="https://julialang.org/downloads/">Julia website</a>, and Jupyter can be installed from within Julia (in the REPL) with</p> <pre><code>] add IJulia</code></pre> <p>Alternate instructions for installing Jupyter can be found on the <a href="https://github.com/JuliaLang/IJulia.jl">IJulia github</a> or the <a href="https://jupyter.org/install">Jupyter homepage</a> (not recommended).</p> <p>From within the main repository directory, start Julia and then start Jupyter in the Julia REPL</p> <pre><code>using IJulia notebook(;dir=pwd())</code></pre> <p>or if using a system Jupyter installation, start Jupyter from your favorite available shell (e.g. Powershell on Windows, bash on any *nix variant, etc.). In Jupyter, open the <code>notebooks/analysis.ipynb</code> notebook. Running all cells will reproduce the results for this paper.</p> <p><strong>Description of data</strong></p> <p>The <code>data</code> directory contains all the data used in the production of the results which were statistically tested.</p> <p>Each <code>.mat</code> file contains events and data generated in Visual3D:</p> <ul> <li>Events <ul> <li><code>LTO</code>/<code>RTO</code> (Left/right toe-off)</li> <li><code>LHS</code>/<code>RHS</code> (Left/right heel-strike)</li> <li><code>HIST</code>/<code>HIEN</code> (Hilly start/end)</li> <li><code>ROST</code>/<code>ROEN</code> (Rocky start/end)</li> <li><code>MLST</code>/<code>MLEN</code> (ML translation start/end)</li> </ul> </li> <li>Data <ul> <li><code>LFootPos</code>/<code>RFootPos</code> (Left/right foot COM position)</li> <li><code>TrunkPos/TrunkVel</code>/<code>TrunkAcc</code> (Trunk COM position, velocity, and acceleration)</li> <li><code>HeadPos/HeadVel</code>/<code>HeadAcc</code> (Head COM position, velocity, and acceleration)</li> <li><code>COG</code> (Whole-body COM/COG)</li> </ul> </li> </ul> <p>The <code>.csv</code> files contain system state of the CAREN system produced by D-Flow software, which includes various system and software settings, most pertinent of which is the treadmill speed.</p> <p>The <code>.c3d</code> files contain the raw motion capture data from Vicon Nexus.</p> <ul> </ul> <p>The results of the <code>notebooks/analysis.ipynb</code> notebook are found in the <code>results</code> folder. Please see the paper for a list of the dependent variables and statistical analyses.</p>
Developing the System of Radiological Protection to Enhance Its Contribution to the UN Sustainable Development Goals
<p>The system of radiological protection has evolved since the publication of the ICRP’s first set of recommendations in 1959. It has enabled the beneficial uses of radiation and radioactive substances while protecting humans from their harmful tissue reactions and carcinogenic (and other stochastic) effects. The system has arguably been world leading in the protection of humans from carcinogens.</p> <p>Since the publication of the most recent ICRP recommendations in 2007 the pace of change in global socio-economic challenges and environmental degradation has accelerated. We face climate, biodiversity and pollution emergencies as well as global health crises such as Covid-19 and increases in non-communicable diseases such as cancer.</p> <p>In addressing the global issues we face it is therefore more important than ever to take an integrated approach to balancing social, environmental and economic risks and impacts. In the context of radiological protection it is vital that our efforts to reduce or control radiation risks consider the wider consequences of those efforts if we are to avoid causing more harm than good.</p> <p>The United Nations Sustainable Development Goals (SDGs) are an ideal framework for facilitating a balanced approach to socio-economic development and environmental protection and enhancement. They recognise that ending poverty and other deprivations must go hand-in-hand with improving health and education, reducing inequality, and spurring economic growth – all while tackling climate change and preserving our environment.</p> <p>The ICRP system of radiological protection is based on three fundamental principles: justification, optimisation and the limitation of radiation exposure. The principle of justification requires that any decision that changes the amount of radiation exposure should do more good than harm. Optimisation requires that radiation exposure should be kept as low as reasonably achievable, taking into account economic and societal factors. Optimisation is not the minimisation of radiation exposure rather the maximising of the net benefit relative to the radiation exposure.</p> <p>This paper explores how the system of radiological protection contributes to the delivery of sustainable development and considers how the SDGs might be taken into account in its further development and application to ensure that the system is fit for the 21st century.</p>
Enhancing understanding of the hydrological cycle via pairing of process‐oriented and isotope ratio tracers
<p>This dataset contains monthly average output files from the iCAM6 simulations used in the manuscript "Enhancing understanding of the hydrological cycle via pairing of process-oriented and isotope ratio tracers," in review at the Journal of Advances in Modeling Earth Systems. A file corresponding to each of the tagged and isotopic variables used in this manuscript is included. Files are at 0.9° latitude x 1.25° longitude, and are in NetCDF format. Data from two simulations are included: 1) a simulation where the atmospheric model was "nudged" to ERA5 wind and surface pressure fields, by adding an additional tendency (see section 3.1 of associated manuscript), and 2) a simulation where the atmospheric state was allowed to freely evolve, using only boundary conditions imposed at the surface and top of atmosphere.</p> <p>Specific information about each of the variables provided is located in the "usage notes" section below.</p> <p>Associated article abstract:</p> <p>The hydrologic cycle couples the Earth's energy and carbon budgets through evaporation, moisture transport, and precipitation. Despite a wealth of observations and models, fundamental limitations remain in our capacity to deduce even the most basic properties of the hydrological cycle, including the spatial pattern of the residence time (RT) of water in the atmosphere and the mean distance traveled from evaporation sources to precipitation sinks. Meanwhile, geochemical tracers such as stable water isotope ratios provide a tool to probe hydrological processes, yet their interpretation remains equivocal despite several decades of use. As a result, there is a need for new mechanistic tools that link variations in water isotope ratios to underlying hydrological processes. Here we present a new suite of "process-oriented tags," which we use to explicitly trace hydrological processes within the isotopically enabled Community Atmosphere Model, version 6 (iCAM6). Using these tags, we test the hypotheses that precipitation isotope ratios respond to parcel rainout, variations in atmospheric RT, and preserve information regarding meteorological conditions during evaporation. We present results for a historical simulation from 1980 to 2004, forced with winds from the ERA5 reanalysis. We find strong evidence that precipitation isotope ratios record information about atmospheric rainout and meteorological conditions during evaporation, but little evidence that precipitation isotope ratios vary with water vapor RT. These new tracer methods will enable more robust linkages between observations of isotope ratios in the modern hydrologic cycle or proxies of past terrestrial environments and the environmental processes underlying these observations.<br> </p>
ScienceDex guides
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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.