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91,407 results for “Effects With / Effects Of”
Simultaneously Enhanced Tenacity, Rupture Work, and Thermal Conductivity of Carbon Nanotubes Fibers by Raising Effective Tube Portion
<p>Although individual carbon nanotubes (CNTs) are superior as constituents to polymer chains, the mechanical and thermal properties of CNT fibers (CNTFs) remain inferior to synthetic fibers due to the failure of embedding CNTs effectively in superstructures. Conventional techniques resulted in a mild improvement of target properties while achieving parity at best on others. Here, a Double-Drawing technique is developed to rearrange the constituent CNTs in both mesoscale and nanoscale morphology. Consequently, the mechanical and thermal properties of the resulting CNTFs can simultaneously reach their highest performances with specific strength ~3.30 N/tex, work of rupture ~70 J/g, and thermal conductivity ~354 W/m/K, despite starting from low-crystallinity materials (<em>I</em><sub>G</sub>:<em>I</em><sub>D</sub>~5). The processed CNTFs are more versatile than comparable carbon fiber, Zylon and Dyneema. Based on evidence of load transfer efficiency on individual CNTs measured with In-Situ-Stretching-Raman, we find the main contributors to property enhancements are the increasing of the effective tube contribution, in addition to the known optimization on CNTs alignment and stacking.</p>
Survey on the Effects of COVID-19 on the Wellbeing of Mexico City Households (ENCOVID-19 CDMX – JULY 2021)
<p>Amid the COVID-19 outbreak, the ENCOVID-19 CDMX provides information on the well-being of Mexico City households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a cross-sectional telephone survey that, in addition to the four main domains and a set of COVID19-related questions, includes key indicators to capture the impact of the pandemic on issues like education, social programs, and crime. This is the third dataset of the project, corresponding to July 2021, collected 15 months after the lockdown began in Mexico. Data collection was performed from July 19 to 31, 2021.</p>
An External Replication on the Effects of Test-driven Development Using a Multi-site Blind Analysis Approach
<p>This dataset contains the <strong>unblinded </strong>version of the data collected and analyzed for the experiment reported in the paper. </p> <p>The semantics of the data can be found in the spreadsheet. For the formulas on how to obtain this data from the raw data, please see the paper. </p>
Data from: Effects of plastic fragments on plant performance are mediated by soil properties and drought
<p>In recent years, the effects of plastic contamination on soil and plants have received growing attention. Plastic can affect soil water content and thus may interact with the effects of drought on soil and plants. However, the effects of plastic on soil are highly context-dependent, and interactions with drought have been hardly tested. We conducted two greenhouse experiments to test the combined effects of plastic fragments (of varying size and concentration), water availability and soil texture, on soil water content and performance of the plant <em>Arabidopsis thaliana</em>. Plastic fragments had stronger negative effects on soil water content in low water availability, and the shape of this response (linear <em>vs.</em> unimodal) was mediated by soil texture. Conversely, increasing concentration of plastic had positive effects on plant growth. We suggest that plastic fragments introduce fracture points within soil aggregates. This increases number and size of soil pores favoring water loss but also facilitating root growth. Our results suggest complex interactive effects of plastic and drought, that may lead to a decoupling of plant and soil response. These processes should be taken into account in ecological studies and agricultural practices.</p>
Dataset accompanying the article: Exploring the Effects of Additional Vibration on the Perceived Quality of an Electric Cello
<p>Dataset accompanying the article: Exploring the Effects of Additional Vibration on the Perceived Quality of an Electric Cello. </p>
Perhydrobenzyltoluene dehydrogenation using monometallic M/Al2O3 and bimetallic Pt-M/Al2O3 catalysts (M = Co, Ni): Effect of metal content.
<p>Hydrogen production from renewable sources emerges as a key strategy for decarbonizing the energy system. However, the advancement of the hydrogen-based energy economy is delayed by limitations in storage and transportation systems. Over the past decade, H<sub>2 </sub>chemical storage, particularly systems based on liquid organic hydrogen carriers (LOHCs), have emerged as a promising solution, employing reversible catalytic reactions for hydrogen storage within organic compounds [1-3].</p> <p>Platinum-Group-Metal (PGM)-based catalysts have been identified as optimal for LOHC technology [4-7]. However, their high cost and environmental impact set significant barriers for large scale applications. To mitigate this challenge, we investigated the perhydrobenzyltoluene dehydrogenation process to benzyltoluene, focusing on minimizing PGM usage.</p> <p>In this work, we synthesized bimetallic catalysts (Pt-M/Al<sub>2</sub>O<sub>3</sub>) with low Pt-content (0.5 wt.%) and varying second metal loads (M = Co, Ni). Catalysts were prepared using the incipient wetness impregnation method, wincorporating Co and Ni first, followed by a second impregnation of Pt, as described elsewhere [6]. Additionally, monometallic Co/Al<sub>2</sub>O<sub>3</sub> and Ni/Al<sub>2</sub>O<sub>3</sub> catalysts were prepared for comparison. Dehydrogenation tests were conducted in a laboratory-scale batch reactor, with hydrogen release quantified using a flow indicator (Brooks SLA5800).</p> <p>The activity results, summarized in the following figure and attached as a dataset, reveal that monometallic Co/Al<sub>2</sub>O<sub>3</sub> and Ni/Al<sub>2</sub>O<sub>3</sub> exhibited poor dehydrogenation performance, with a Degree of Dehydrogenation (DoD) lower than 10%. Conversely, bimetallic catalysts, particularly those with reduced Ni and Co contents, demonstrated enhanced dehydrogenation activity, achieving optimal rates with a 0.5 wt.% metal load. Upon comparing the activity results, it was observed that Co exhibited greater activity than Ni when considering the same metal content. These findings highlight the superior dehydrogenation promotion capability of Co.</p> <p>In summary, this study underscores the potential of low-metal content and sustainable catalysts as initial steps toward optimizing metal content for LOHC technology. These findings offer promising possibilities for enhancing the efficiency and sustainability of hydrogen storage and release systems, crucial for realizing the full potential of hydrogen as a clean energy carrier.</p>
Data and script for "On the emergence of ecosystem decay: a critical assessment of patch area effects across spatial scales"
<p>Data and R script necessary to replicate the results of Riva et al. 2024 ("On the emergence of ecosystem decay: a critical assessment of patch area effects across spatial scales"; minor revisions, Biological Conservation).</p>
Catching the audience in a job interview: Effects of emotion regulation strategies on subjective, physiological, and behavioural responses
<p>Dataset used in the publication: Santos, A. C., Arriaga, P., & Simões, C. (2021). Catching the audience in a job interview: Effects of emotion regulation strategies on subjective, physiological, and behavioural responses. Biological Psychology, 162, 108089. <a href="https://doi.org/10.1016/j.biopsycho.2021.108089" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.biopsycho.2021.108089</a></p> <p>Includes: data in SPSS and CSV and codebook. </p> <p>In the emotion regulation process more than one strategy is often used, though studies continue to rely on the manipulation of one strategy alone. This study compares the effects of Combined Cognitive Reappraisal (CCR: acceptance and reappraise via perspective-taking) and suppression using the Trier Social Stress Test (TSST). One hundred participants were randomly assigned to one of the two groups and subjective, physiological, and behavioural data were recorded. Continuous electrocardiography was recorded to measure heart rate variability (HRV) and stress levels. Affective ratings were provided before and after the TSST. Behavioural expressions were videotaped and analysed independently. Trait social anxiety/fear, age and gender entered as covariates. Although no group differences were found on affective ratings, the CCR group presented less physiological stress, higher HRV, their speech was better perceived, displayed more affiliative smile and hand gestures. Results suggested that CCR is more appropriate than suppression for managing social stress situations.</p>
Data for "Effects of External Water on Volcanic Column Height and Collapse"
<p>Generate data for the publication "Effects of External Water on Volcanic Column Height and Collapse" (in prep). Please cite Carrillo, E.L. (2024) if any data in this repository is used.</p>
Past and future effects of climate on the metapopulation dynamics of a NorthEast Atlantic seabird across two centuries
<p>Datasets required to run code for contribution:</p> <p>Past and future effects of climate on the metapopulation dynamics of a NorthEast Atlantic seabird across two centuries</p> <p>Jana WE Jeglinski, Holly I Niven, Sarah Wanless, Robert T. Barrett, Mike P. Harris, Jochen Dierschke and Jason Matthiopoulos</p> <p>Extension of a Bayesian metapopulation model fit to colony census data for all Northeast Atlantic colonies of the Northern gannet (<em>Morus bassanus</em>) described in Jeglinski et al. (2023) to investigate mechanistic relationships with climate and forecast metapopulation dynamics under two climate scenarios. </p>
Data and analysis script for "The (non)effect of personalization in climate texts on credibility of climate scientists: A case study on sustainable travel"
<p>Dataset and analysis script for the article "<strong>The (non)effect of personalization in climate texts on credibility of climate scientists</strong><strong>: A case study on sustainable travel</strong>", under review at Geoscience Communication (https://doi.org/10.5194/egusphere-2024-543)</p>
Classification of New Caledonian Forests According to Edge and Elevation Effects
<h1>Description</h1> <p>This map represents a classification of forest types based on the influence of the edge effect (distance to the forest edge) and elevation effect (temperature and area) on tree community richness.</p> <ul> <li>The edge effect influences tree diversity through an environmental aridity filter. In New Caledonia, the maximum temperature recorded at the forest edge is 41°C in February, while it never exceeds 24°C beyond 100 meters from the edge. This temperature difference induces a selection for species that tolerate the most arid conditions, leading to a reduction in the biological richness of tree communities (<a href="https://doi.org/10.1007/s10980-017-0534-7" target="_blank" rel="noopener">Ibanez et al., 2017</a>; <a href="https://cnrt.nc/wp-content/uploads/2022/12/CNRT-rappsc-RELIQUES_Tome-ENV-Edition-2022-cp.pdf" target="_blank" rel="noopener">Birnbaum et al., 2022</a>; <a href="https://doi.org/10.1111/1365-2745.14105" target="_blank" rel="noopener">Blanchard et al., 2023</a>).</li> <li>Altitude also affects tree diversity due to temperature variation and available area (<a href="https://doi.org/10.1111/avsc.12070" target="_blank" rel="noopener">Ibanez et al., 2014</a>; <a href="https://doi.org/10.1093/aobpla/plv075" target="_blank" rel="noopener">Birnbaum et al., 2015</a>; <a href="https://doi.org/10.1111/ddi.12374" target="_blank" rel="noopener">Pouteau et al., 2015</a>; <a href="https://doi.org/10.1111/jvs.12396" target="_blank" rel="noopener">Ibanez et al., 2016</a>; <a href="https://doi.org/10.1093/aob/mcx107" target="_blank" rel="noopener">Ibanez et al., 2018</a>). In New Caledonia, observed tree community richness ranges from 35 to 121 species per hectare within the NC-PIPPN network, peaking at mid-altitude ranges (refer to figure '<a title="1ha Plot Tree Richness Distribution Along Elevation" href="../records/12739730/files/amap_elevation_richness.png?download=1&preview=1" target="_blank" rel="noopener">amap_elevation_richness.png</a>'). Potential richness was assessed using the S-SDM model, with the 80th percentile used as a threshold to distinguish low and high potential richness across three elevation classes: [0 - 400m[, [400 - 900m[, and [900 - 1628m[.</li> </ul> <p>The classification of forest types combines distance from the forest edge and potential richness by elevation into three major categories, as illustrated in the figure '<a title="Illustration of the three forest types" href="../records/12739730/files/amap_forest_types_nc.png?download=1&preview=1" target="_blank" rel="noopener">amap_forest_types_nc.png</a>':</p> <ol> <li><strong>Edge Forest:</strong> Parts of the forest located less than 100 meters from the forest edge.</li> <li><strong>Mature Forest:</strong> Parts of the forest located beyond 100 meters from the edge with a lower potential richness of tree communities.</li> <li><strong>Core Forest:</strong> Parts of the forest located more than 300 meters from the edge with a higher potential richness of tree communities.</li> </ol> <h1>Content</h1> <p>The map is computed from the Forest Map of New Caledonia (v2024) and the Potential Tree Species Richness in the Forests of New Caledonia (v2024). This dataset was produced, analyzed, and verified using a combination of open-source software, including QGIS, PostgreSQL, PostGIS, Python, R, and the GDAL library, all running on Linux. </p> <ul> <li>amap_forest_types_nc.png is a picture illustrating the forest type classification </li> <li>amap_forest_types_nc.zip is a compressed file contains the six essential files for an ESRI-format GIS system, using the WGS84 international coordinate system, and can be uploaded to a spatial database such as PostgreSQL/PostGIS. Each row of the attribute table represents a forest type (a multi-polygon) with associated fields :</li> </ul> <table> <tbody> <tr> <td><strong>Field</strong></td> <td><strong>Type</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td><strong>type</strong></td> <td>TEXT</td> <td>One of the three forest types ("Edge Forest", "Mature Forest", "Core forest")</td> </tr> <tr> <td><strong>area_ha</strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Area of the multi-polygon in hectares</td> </tr> <tr> <td><strong>description<br></strong></td> <td>TEXT</td> <td>Description of the three forest types</td> </tr> <tr> <td><strong>geom</strong></td> <td>GEOMETRY (MULTIPOLYGON, 4326))</td> <td>Geometry with datum EPSG: 4326 (WGS 84 – World Geodetic System 1984)</td> </tr> </tbody> </table> <h1>Limitations</h1> <p>We caution users that the distinction between the three classes is based on an ecological interpretation and does not reflect directly perceptible breaks in the forest. The ecological transition from the edge to the core of the forest follows multiple gradient modulated by environmental conditions.</p> <p>Moreover, this classification is based on local observations and measurements, which are complex to generalize and extrapolate across a territory as environmentally diverse as New Caledonia. Nevertheless, it allows us to address the impact of fragmentation at the scale of New Caledonia.</p>
Supplementary Report for the paper "A Preliminary Analysis on the Effect of Randomness in a CEGAR Framework"
<p> A supplementary report for the paper "A Preliminary Analysis on the Effect of Randomness in a CEGAR Framework" by Ákos Hajdu and Zoltán Micskei, presented at the 25th PhD Mini-Symposium (2018), organized by the Department of Measurement and Information Systems at the Budapest University of Technology and Economics.</p>
Biophysical effects of vegetation cover change from satellite and models
<p>Vegetation cover changes associated with land use and land cover change (LULCC) can perturb the local surface energy balance, which in turn can affect the local climate. Land surface models (LSMs) can be used to simulate such land-climate interactions, but their capacity to model these biophysical effects accurately across the globe remain unclear due to the complexity of the phenomena. This dataset provides idealized simulations from four LSMs (JULES, ORCHIDEE, JSBACH and CLM) that are harmonized with estimations obtained from satellite observations, enabling the inter-comparison and benchmarking of LSM performances and which can serve to identify model limitations and prioritize efforts in model development. The dataset provides the change in latent heat flux, in combined sensible and ground heat flux and in net radiation caused by 15 specific vegetation cover transitions on a 1° by 1° grid at monthly time scale for a synthetic year based on data from 2008 until 2012. The dataset was generated from a collaborative effort lead by JRC within the FP7 LUC4C project (luc4c.eu).</p>
Dataset Effect of hypnotic suggestion on knee extensor neuromuscular properties in resting and fatigued states
<p>The .xlsx file contains individual data from all figures / tables of the associated manuscript and each .csv file contains information from one figure / table.</p> <p> </p> <p><strong>Dataset Fig 2</strong></p> <p>Table 1. Maximal voluntary contraction force (Newton) from the knee extensor muscles measured before (pre) and after (post) control / hypnosis suggestion</p> <p>Table 2. Maximal voluntary activation level (%) from the knee extensor muscles measured before (pre) and after (post) control / hypnosis suggestion</p> <p>Table 3. Peak doublet force (Newton) evoked from 100 Hz paired stimuli at the knee extensor level measured before (pre) and after (post) control / hypnosis suggestion</p> <p> </p> <p><strong>Dataset Fig 4</strong></p> <p>Table 1. Time to task failure (s) of a submaximal isometric contraction performed at 20% maximal voluntary contraction force with the knee extensors for the control session and the hypnosis session</p> <p> </p> <p><strong>Dataset Fig 5</strong></p> <p>Table 1. Maximal voluntary contraction force (Newton) from the knee extensor muscles measured before (pre exercise) and after (post exercise) exercise during the control session and the hypnosis session</p> <p>Table 2. Maximal voluntary activation level (%) from the knee extensor muscles measured before (pre exercise) and after (post exercise) exercise during the control session and the hypnosis session</p> <p>Table 3. Peak doublet force (Newton) evoked from 100 Hz paired stimuli at the knee extensor level measured before (pre exercise) and after (post exercise) exercise during the control session and the hypnosis session</p> <p> </p> <p><strong>Dataset Fig 6</strong></p> <p>Table 1. Electromyographic activity (in %, expressed as root mean square values normalized to maximal electromyographic activity measured during the maximal voluntary contraction performed before exercise) of the vastus lateralis muscle measured during the sustained isometric contraction at every 25% of time to task failure for the control session and the hypnosis session</p> <p>Table 2. Electromyographic activity (in %, expressed as root mean square values normalized to maximal electromyographic activity measured during the maximal voluntary contraction performed before exercise) of the vastus medialis muscle measured during the sustained isometric contraction at every 25% of time to task failure for the control session and the hypnosis session</p> <p>Table 3. Electromyographic activity (in %, expressed as root mean square values normalized to maximal electromyographic activity measured during the maximal voluntary contraction performed before exercise) of the rectus femoris muscle measured during the sustained isometric contraction at every 25% of time to task failure for the control session and the hypnosis session</p> <p> </p> <p><strong>Dataset Fig 7</strong></p> <p>Table 1. Motor evoked potential peak to peak amplitude from the vastus lateralis muscle measured during the sustained isometric contraction at every 50% of time to task failure for the control session and the hypnosis session. Values are expressed in %, i.e. expressed as a ratio between the motor evoked potential peak-to-peak amplitude expressed in mV (Table 2) and the peak-to-peak M-wave amplitude expressed in mV (Table 3).</p> <p>Table 4. Motor evoked potential peak to peak amplitude from the vastus medialis muscle measured during the sustained isometric contraction at every 50% of time to task failure for the control session and the hypnosis session. Values are expressed in %, i.e. expressed as a ratio between the motor evoked potential peak-to-peak amplitude expressed in mV (Table 5) and the peak-to-peak M-wave amplitude expressed in mV (Table 6).</p> <p>Table 7. Motor evoked potential peak to peak amplitude from the rectus femoris muscle measured during the sustained isometric contraction at every 50% of time to task failure for the control session and the hypnosis session. Values are expressed in %, i.e. expressed as a ratio between the motor evoked potential peak-to-peak amplitude expressed in mV (Table 8) and the peak-to-peak M-wave amplitude expressed in mV (Table 9).</p> <p>Table 10. Short intracortical inhibition peak to peak amplitude from the vastus lateralis muscle measured during the sustained isometric contraction at every 50% of time to task failure for the control session and the hypnosis session. Values are expressed in %, i.e. expressed as a ratio between the short intracortical inhibition peak-to-peak amplitude expressed in mV (Table 11) and the motor evoked potential peak-to-peak amplitude expressed in mV (Table 12).</p> <p>Table 13. Short intracortical inhibition peak to peak amplitude from the vastus medialis muscle measured during the sustained isometric contraction at every 50% of time to task failure for the control session and the hypnosis session. Values are expressed in %, i.e. expressed as a ratio between the short intracortical inhibition peak-to-peak amplitude expressed in mV (Table 14) and the motor evoked potential peak-to-peak amplitude expressed in mV (Table 15).</p> <p>Table 16. Short intracortical inhibition peak to peak amplitude from the rectus femoris muscle measured during the sustained isometric contraction at every 50% of time to task failure for the control session and the hypnosis session. Values are expressed in %, i.e. expressed as a ratio between the short intracortical inhibition peak-to-peak amplitude expressed in mV (Table 17) and the motor evoked potential peak-to-peak amplitude expressed in mV (Table 18).</p> <p><br> <strong>Dataset Fig 8</strong></p> <p>Table 1. Rate of perceived exertion (6-20 Borg scale) measured during the sustained isometric contraction at every 25% of time to task failure for the control session and the hypnosis session</p> <p> </p> <p><strong>Dataset Table 1</strong></p> <p>Table 1. Motor evoked potential peak to peak amplitude from the vastus lateralis muscle measured before (pre) and after (post) control / hypnosis suggestion. Values are expressed in %, i.e. expressed as a ratio between the motor evoked potential peak-to-peak amplitude expressed in mV (Table 2) and the peak-to-peak M-wave amplitude expressed in mV (Table 3).</p> <p>Table 4. Motor evoked potential peak to peak amplitude from the vastus medialis muscle measured before (pre) and after (post) control / hypnosis suggestion. Values are expressed in %, i.e. expressed as a ratio between the motor evoked potential peak-to-peak amplitude expressed in mV (Table 5) and the peak-to-peak M-wave amplitude expressed in mV (Table 6).</p> <p>Table 7. Motor evoked potential peak to peak amplitude from the rectus femoris muscle measured before (pre) and after (post) control / hypnosis suggestion. Values are expressed in %, i.e. expressed as a ratio between the motor evoked potential peak-to-peak amplitude expressed in mV (Table 8) and the peak-to-peak M-wave amplitude expressed in mV (Table 9).</p> <p>Table 10. Short intracortical inhibition peak to peak amplitude from the vastus lateralis muscle measured before (pre) and after (post) control / hypnosis suggestion. Values are expressed in %, i.e. expressed as a ratio between the short intracortical inhibition peak-to-peak amplitude expressed in mV (Table 11) and the motor evoked potential peak-to-peak amplitude expressed in mV (Table 12).</p> <p>Table 13. Short intracortical inhibition peak to peak amplitude from the vastus medialis muscle measured before (pre) and after (post) control / hypnosis suggestion. Values are expressed in %, i.e. expressed as a ratio between the short intracortical inhibition peak-to-peak amplitude expressed in mV (Table 14) and the motor evoked potential peak-to-peak amplitude expressed in mV (Table 15).</p> <p>Table 16. Short intracortical inhibition peak to peak amplitude from the rectus femoris muscle measured before (pre) and after (post) control / hypnosis suggestion. Values are expressed in %, i.e. expressed as a ratio between the short intracortical inhibition peak-to-peak amplitude expressed in mV (Table 17) and the motor evoked potential peak-to-peak amplitude expressed in mV (Table 18).</p> <p> </p> <p><strong>Dataset table 2</strong></p> <p>Table 1. M-wave peak to peak amplitude (mV) from the vastus lateralis muscle measured before (pre) and after (post) control / hypnosis suggestion</p> <p>Table 2. M-wave peak to peak amplitude (mV) from the vastus medialis muscle measured before (pre) and after (post) control / hypnosis suggestion</p> <p>Table 3. M-wave peak to peak amplitude (mV) from the rectus femoris muscle measured before (pre) and after (post) control / hypnosis suggestion</p>
Quantitative comparison of camera technologies for cost-effective Super-resolution Optical Fluctuation Imaging (SOFI) [raw datasets]
<p>Raw datasets accompanying the analysis in "Quantitative comparison of camera technologies for cost-effective Super-resolution Optical Fluctuation Imaging (SOFI)"</p> <p>The datasets contain raw fluorescence microscopy images aimed to be processed in a SOFI analysis. They are acquired with different camera technologies, allowing for direct comparison of an industry-grade CMOS detector with both a scientific-grade sCMOS and emCCD detector.</p>
The Immunomodulatory Effect of Silver Nanoparticles in a Retinal Inflammatory Environment
<p>Activation of immune response plays an important role in the development of retinal diseases. One of the main populations of immune cells contributing to the retinal homeostasis are microglia, which represent a population of residential macrophages. However, under pathological conditions, microglia become activated and rather support a harmful inflammatory reaction and retinal angiogenesis. Therefore, targeting these cells could provide protection against retinal neuroinflammation and neovascularization. In the recent study, we analyzed effects of silver nanoparticles (AgNPs) on microglia in vitro and in vivo. We showed that the AgNPs interact in vitro with stimulated mouse CD45/CD11b positive cells (microglia/macrophages), decrease their secretion of nitric oxide and vascular endothelial growth factor, and regulate the expression of genes for Iba-1 and interleukin-1β (IL-1β). In our in vivo experimental mouse model, the intravitreal application of a mixture of proinflammatory cytokines tumor necrosis factor-α, IL-1β and interferon-γ induced local inflammation and increased local expression of genes for inducible nitric oxide synthase, IL-α, IL-1β and galectin-3 in the retina. This stimulation of local inflammatory reaction was significantly inhibited by intravitreal administration of AgNPs. The application of AgNPs also decreased the presence of CD11b/Galectin-3 positive cells in neuroinflammatory retina, but did not influence viability of cells and expression of gene for rhodopsin in the retinal tissue. These data indicate that AgNPs regulate reactivity of activated microglia in the diseased retina and thus could provide a beneficial effect for the treatment of several retinal diseases.</p>
Priority effects can be explained by competitive traits
<p>Code (updated after review)</p> <p>Traits - Trait values that were measurent and calculated from the individuals grown alone (updated after review).</p> <p>See version 2 for other files </p>
Unclean but affordable solid fuels effectively sustained household energy equity
<p>This dataset contains the data used in preparation for the paper "Unclean but affordable solid fuels effectively sustained household energy equity" by Ke Jiang et al, describing the inequity of household energy consumption, cost and burden in mainland China in 2017.</p>
Effect of Textural Properties and Presence of Co-cation on NH3-SCR Activity of Cu-Exchanged ZSM-5
<p><strong>Description of the dataset: </strong></p> <ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements, computer simulation and analysis</li> <li>Files are with filename extensions: <strong>DSC</strong>, <strong>DAT</strong>, <strong>m</strong>, <strong>txt</strong></li> <li>Information on <strong>origin of the data</strong>:</li> </ul> <ul> <li>EPR spectroscopic measurements with filename extensions <strong>DSC</strong>, <strong>DTA.</strong></li> <li>EPR spectroscopic simulation and analyses with filename extension <strong>m</strong>.</li> <li>EPR spectra are exported as <strong>txt</strong> files in ASCII format.</li> </ul> <ul> <li>X-band CW-EPR spectroscopic measurements were generated by EMX spectrometer equipped with SHQ cavity produced by Bruker.</li> <li><strong>If t</strong> <ul> <li>Files in <strong>PARACAT_WP3_20210721_01_CW_Experimental</strong> folder includes X-band CW-EPR spectroscopic measurements; original data are in DTA/DSC and txt. formats.</li> <li>Files in <strong>PARACAT_WP3_20210721_02_CW_Simulations</strong> folder includes computer simulations/analyses of the EPR measurements; data are in m and txt formats.</li> </ul> </li> <li><strong>Information on</strong>: <ul> <li>specialized abbreviations: <strong>EPR</strong> – Electron Paramagnetic Resonance, <strong>CW</strong> – Continuous Wave EPR, <strong>exp </strong>– experimental data, <strong>hyd </strong>– cw-EPR spectra related to hydrated state, <strong>dehyd </strong>– cw-EPR spectra related to the dehydrated state, <strong>sim </strong>– simulation data. <strong>Sys </strong>– copper species used for constructing the spin-Hamiltonian in EPR simulations.</li> <li>definitions of variables: <strong>Magnetic field, Temperature.</strong></li> <li>units of measurement: <strong>Gauss (G), K, degree (°), milliTesla (mT)</strong>.</li> </ul> </li> </ul>
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.