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91,407 results for “Effects With / Effects Of”
Effect of sticky rice germ oil droplet spraying on chrysanthemum thrips resistance and metabolome
<p>This dataset contains experimental results from full plant assays with Chrysamthemum plants that were conducted to test the effectiveness of sprayng solutions containing sticky rice oil droplets for trapping of small arthropods on plants. The experiments were conducted at the Institute of Biology Leiden, Leiden University the Netherlands.</p> <p>The first dataset contains the results of the full plant assays with thrips.</p> <p>The second dataset contains the results of 1H NMR and GC-MS signals of leaf samples of sprayed chrysanthemum plants.</p> <p> </p> <p>Version history:</p> <p>Version 2: Included the RAW data on % coverage of plants for the two plant assays that had been left out during earlier submission</p> <p>Updated the metadatasheets within the excel files to be more complete.</p> <p>Version 3: Included a new excel sheet in the GC-MS and NMR data file in which a subset of the RAW HS-GC-MS and 1H NMR data, namely those peaks and delta signals that were identified and matchedd to compound id after untargeted analysis, are presented together with the name of the compounds or classes of compounds as mentioned in the manuscript.</p> <p>No changes were made to the plant assay data file</p> <p> </p> <p>In the "Dataset_TBierman_RGO_thrips_1HNMR_GC-MS_V3" excel file:</p> <p>Sheets: "Processed 1H NMR data" and "Processed HS-GC-MS data"</p> <p>contain processed 1H NMR and GC-MS data of chrysanthemum leaves, harvested after 10 or 25 days, of plants that were sprayed with water or vegetable-oil derived adhesives and infested with thrips or not.</p> <p>Sheet: "Quantitative data selected comp" contains a subset of the data where signals were found significant in the untargeted analysis have been annotated to their compound identity.</p> <p>In the "Dataset_TBierman_RGO_thrips_plantassay1_and_2_V3" excel file:</p> <p>Sheets "Plant_assay_1_RGO_thrips_d10_25" and "Plant_assay_2_RGO_thrips_d25" contain the raw plant assay data</p> <p>Sheets "Plant_assay_1_RGO_coverage" and "Plant_assay_2_RGO_coverage" contain the summary values of the estimated coverage with adhesive oil droplets of each respective experiment on the left side while on the right side the raw data is presented </p> <p> </p>
Effects of Periodic Normal Stress Oscillations on Frictional Properties of Simulated Natural Fault Gouges under In Situ P-T Conditions
<p>Files named by in a format of "Uxxx_xx_xxMPa_xxC" refer to the original mechanical data recorded during experiment.</p> <p>The compressed package includes the files to perform numerical modeling, modeling results and the experimental data for comparison. To replicate the numerical modeling, readers can open the COMSOL project file (".mph" file) using COMSOL software (version >5.4) then input the parameters for the boundary conditions, such as the temperature, load-point velocity, oscillation amplitude and frequency. </p>
Dataset on Physics-Based Indicators for Optimizing Phase Change Material Effectiveness in Building Design
<p>This research dataset includes the results as well as the EnrgyPlus models developed to investigate and validate newly proposed indicators to quantify the effectiveness of phase change materials in buildings.</p>
Long term effects of payment for performance on maternal and child health outcomes– evidence from Tanzania
<p>These are the datasets underpinning the paper entitled: <strong>Long term effects of payment for performance on maternal and child health outcomes– evidence from Tanzania.</strong></p> <p><strong>The datasets are provided in csv and Stata 16 format along with variable descriptions, and the Stata do file used for analysis.</strong></p>
Effects of intolerance of uncertainty on subjective and psychophysiological measures during threat acquisition and delayed threat extinction
<p>This dataset includes measurements of intolerance of uncertainty (Intolerance of Uncertainty Scale [Freeston et al., 1994]), trait anxiety (State-Trait Anxiety Inventory [Spielberger et al., 1983]), skin conductance response (SCR), fear potentiated startle (FPS) and fear ratings (RAT) acquired in a differential fear conditioning paradigm with habituation and threat acquisition training on one day and extinction training, mood induction (by presenting negative vs. neutral slides), re-extinction training, reinstatement and reinstatement-test 24h later. Overall, 66 participants (female = 44, aged between 18 and 40 years, M = 25.76, SD = 5.82) took part in the study. Several participants had to be excluded due to technical issues (n = 3), non-responding (SCR: n = 2; auditory startle blink: n = 1) and no SCRs to the CSs (n = 1). Visual CSs were two shapes resembling snowflakes. The US consisted of a train of three 2 ms electrotactile square-waves (inter stimulus interval, ISI: 50 ms) and was delivered 7.9 s after each CS+ onset (100% reinforcement rate) during threat acquisition training and three times during reinstatement. The duration of the ITIs ranged from 10 to 13 s (M = 11.5). For SCR measurements, a 1 Hz lowpass filter and a gain of 5 or 10 μΩ were applied. SCR data were scored by using the semi-automatic scoring system Autonomate (Green et al., 2014), down sampled to 10 Hz and scored as the first response within 0.9 to 4 s after CS onset as SCR from trough to peak with a maximum rise time of 5 s. SCRs were square root transformed to reduce skew and z-scored within individuals across trials for day 1 and day 2 separately. To elicit the auditory startle blink, a 95 dB white noise burst was presented simultaneously on both ears. Startle probes were administered 6 or 8 s after the ITI-onset and 6 or 7 s after CS-onset. A gain of 5000 at 1000 Hz and a band-pass filter (28–500 Hz) were applied. Data were rectified and integrated online (averaged over 20 samples) and scored semi-automatically by using a custom-made computer program (EDA View, developed by Prof. Dr. Matthias Gamer, University of Würzburg) as trough to peak 20–120 ms after startle probe onset. For analyses, FPS data was z-scored within individuals across trials for day 1 and day 2 separately. To acquire fear ratings, participants rated throughout the experiment, how much stress, fear, and tension they experienced, when they last saw the CSs. Answers had to be logged in via button press within 7 s on a visual analog scale (VAS) ranging from zero (answer = none) to 100 (answer = maximum). Unlogged ratings were considered as missing values.</p>
A High-Performance Data Processing Workflow to Incorporate Effect-Directed Analysis in Suspect and Nontarget Screening [Feature Tables]
<p>This repository is supplementary to the manuscript "High-Performance Data Processing Workflow Incorporating Effect-Directed Analysis for Feature Prioritization in Suspect and Nontarget Screening" (DOI: 10.1021/acs.est.1c04168) and includes an overview of all measured chemical features and annotations in a waste water treatment plant (WWTP) effluent, dust standard reference material (SRM) 2585 and fetal calf serum (FCS) sample.</p> <p>Samples were measured using liquid chromatography - high resolution mass spectrometry (LC-HRMS) and fractionated into 80 micro-fractions encompassing a couple of seconds from the chromatographic run. The fractions were tested for their bioactivity in the antibiotics and the TTR-binding assay. The samples were processed separately using one, two, and three technical replicates in positive and negative ion mode. The first excel sheet includes all measured chemical features, suspect screening annotation, and corresponding bioassay responses. The second sheet includes all possible isomer annotations from the CECscreen database (DOI: <a href="https://doi.org/10.5281/zenodo.3956586">10.5281/zenodo.3956586</a>) for the annotated features. </p>
Disentangling the effects of jasmonate and tissue loss on the sex allocation of an annual plant
<p>In this study, we explored norms of reaction in sex expression and sex allocation to herbivory in an experiment designed to uncouple its direct (through tissue loss) and indirect effects (due to defensive jasmonate signalling) in hermaphroditic XX females of the wind-pollinated Mercurialis annua. To uncouple the direct and indirect effects of herbivory on the sex expression and to test the role of jasmonate on conditional sex allocation, we conducted a two-factorial experiment manipulating tissue loss (25% chronic defoliation) and plant anti-herbivore defences via the jasmonate pathway (external application of jasmonate), and measured sexual expression in plants with both a male and a female function. The herbivory treatment applied were:</p> <p>For the control treatment (C), leaves were sprayed with a sham solution containing only water and polysorbate until all leaves were wet (see Supplementary Materials for detailed solution formulae). The herbivory treatment (H) consisted of cutting off half of every second leaf on the plant with scissors and spraying plants with a sham solution until all leaves were wet (defoliation resulted in a 25% reduction of total leaf area over the course of the whole plant’s lifetime). In the jasmonate treatment (JA) plants were sprayed with a solution of methyl-jasmonate and polysorbate until all leaves were wet (polysorbate 20 was used to fix the methyl-jasmonate on the sprayed leaves). Finally, the jasmonate and herbivory treatment (JAH) consisted of cutting off half of every other leaf on the plant with scissors and spraying plants with the methyl-jasmonate solution until all leaves were wet. These treatments were applied repeatedly as plants continued to grow, i.e., they represent chronic stress or manipulation. The first round of treatment was applied one week after repotting the plants (25th of November 2019) and then every two weeks over the next 12 weeks (the last treatment was applied on the 2<sup>nd</sup> of February 2020). On the first round of treatment, when most plants had fewer than six leaves each, we cut off only half a leaf (~10% of the leaf area removed) for plants under the herbivory treatments to avoid seedlings death.</p> <p>Plant sampling consisted of cutting all above-ground plant material of 34 plants per enclosure (<em>N</em> = 272) and recording total height. Plants were then cut in half, lengthwise, creating two distinct segments: top and bottom. The top segment was carefully examined and we counted the number of fruits (immature and mature) and harvested all male flowers using tweezers. Male flowers were stored in paper envelopes, dried and weighed. After phenotyping, plant segments were dried and weighed to obtain plant dry biomass (top + bottom). To estimate seed production, the seeds were isolated from the dried plant materials, stored in paper envelopes and weighed. All materials were dried in an oven at 50°C for at least 14 days and weighed using a digital scale.</p> <p>Variables names and meaning:</p> <p>PlantID: Individual identifier for each plant<br> nb_seeds_estimate.TOP: Number of seeds form the top section of the plant <br> Biomass.BOTTOM: Dry biomass of the bottom plant section (grams) <br> Total_biomass: Dry biomass of the whole aboveground plant materials, except for the male flowers <br> Biomass.TOP: Dry biomass of the bottom plant section (grams) <br> seed_mass_total: Dry biomass of the seeds of the whole plant (top+bottom sections) (grams)<br> seed_mass.BOTTOM: Dry biomass of the seeds from the bottom section (grams)<br> seed_nb_total: Number of seeds from the whole plant (top+bottom sections) <br> Lenght_section.TOP: Length of the top section (cm) <br> Fruit_number.TOP: Number of fruits present on the top sectioon at the time of harvest<br> nb_seeds_estimate.BOTTOM: Number of seeds from the bottom section<br> Height: Plant height (top+bottom sections) (cm) at the time of harvest<br> Fruit_number.BOTTOM: Number of fruits present on the bottom section at the time of harvest <br> DPT: Days-post-treatment = the period elapsed between the last treatment application and the plant sampling date. For logistical reasons, our sampling was spread over 14 days by a team of six assistants.<br> Lenght_section.BOTTOM: Length of the bottom section (cm)<br> Treatment: Herbivory treatments: C=Control; H= 25% chronic tissue loss, JA=exogenous jasmonate application; JAH=tissue loss + jasmonate.<br> Box: Enclosure in which plants were kept. This was a blocking factor with 2 boxes per treatment, each one with 30-32 plants. <br> Date: sampling date <br> seed_mass.TOP: Dry biomass of the seeds on the bottom plant sections (grams)<br> Observer: Identifier for each of the six researchers who sampled plants. We recorder observer identity and included it in our statistical analyses to account for possible biases among assistants.<br> male_fl_mass.TOP: Dry biomass of the male flowers sampled from the top plant section (grams). <br> nb_fl_estimate.TOP: Number of male flowers present on the top plant section at the time of harvest <br> male_fl_mass.BOTTOM: Dry biomass of the male flowers sampled from the bottom plant section (grams). <br> nb_fl_estimate.BOTTOM: Number of male flowers present on the bottom plant section at the time of harvest </p> <p> </p>
Animation to visualize the effects of laser ablation on unhydrated cement clinker
<p>This animation illustrates the effect of the damage on the surface of unhydrated cement clinker caused by a pulsed laser for a LA-ICP-MS mapping. The dataset contains the raw data and the final animations.</p> <p>The images were acquired using a Thermofischer Scientific Helios G4 UX microscope at 2 kV/0.1 nA. The surface was tilted in two orientations by a few degree and an image was acquired after every tilt. The ablated area has a size of approx. 367 x 300 µm.</p> <p>A detailed description of the specimen and the parameters used for the analysis can be found in the <a href="https://doi.org/10.1016/j.cemconres.2022.106875">corresponding paper</a>.</p> <p><strong>Funding</strong></p> <p>The research was supported by the Deutsche Forschungsgemeinschaft (DFG), grant number <a href="https://gepris.dfg.de/gepris/projekt/344069666">344069666</a>.</p>
Dataset: Environment effects on X-ray absorption spectra with quantum embedded real-time Time-dependent density functional theory approaches
<p>This dataset collects the outputs from real-time TDDFT simulation of X-ray absorption of halides in model systems, using the frozen density embedding (FDE) and block-orthogonalized Manby-Miller embedding (BOMME), as well as processing tools and scripts used to carry out the calculations.</p>
Data and code for the publication "The effect of rainfall changes on economic production"
<p>The zipped file of this repository contains code and data to reproduce the results of the publication:</p> <p>Kotz et al, Nature, The effect of rainfall changes on economic production. (2021). <a href="http://doi.org/10.1038/s41586-021-04283-8">https://doi.org/10.1038/s41586-021-04283-8</a></p> <p> </p> <p>Economic data are derived from the DoSE database: <a href="http://doi.org/10.5281/zenodo.4681305">https://doi.org/10.5281/zenodo.4681305</a></p> <p>Climate data are derived from the ERA-5 reanalysis: <a href="https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5 ">https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5 </a></p> <p> </p> <p>Please see the README document for detailed:</p> <p>- Descriptions of the code and data provided</p> <p>- Lists of the required dependencies</p> <p>- Naming conventions for variables</p> <p> </p>
ASVspoof2019LA-Sim: Augmented Dataset for An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems
<p>This is the dataset we augmented to study the channel effects for anti-spoofing. For more details, please refer to our Interspeech 2021 paper: "An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems".</p> <p>Proceeding: <a href="https://www.isca-speech.org/archive/interspeech_2021/zhang21ea_interspeech.html">https://www.isca-speech.org/archive/interspeech_2021/zhang21ea_interspeech.html</a></p> <p>Arxiv: <a href="https://arxiv.org/pdf/2104.01320.pdf">https://arxiv.org/pdf/2104.01320.pdf</a></p> <p>Code: <a href="https://github.com/yzyouzhang/Empirical-Channel-CM">https://github.com/yzyouzhang/Empirical-Channel-CM</a></p> <p>Contact: you.zhang@rochester.edu</p> <p><strong>Version 1.0</strong> contains the <strong>training</strong> and the <strong>development</strong> set. We have added the <strong>evaluation</strong> set in <strong>version 1.1 </strong>but deleted the training set due to the size limitation, but you can still access the training set in version 1.0.</p> <p>Please check it out.</p> <p>To extract the files, please use the following commands:</p> <pre><code class="language-bash">cat eval.tar.gz-part* > eval.tar.gz tar -xvzf *.tar.gz</code></pre> <p>After concatenation, to make sure the download is complete, you can check with the following:</p> <pre><code>md5sum *.tar.gz 15dea7d28b126994bb6b159778f706af dev.tar.gz 0615052b34ca6c7f58505eaa8647844f eval.tar.gz 3058dd9d407f3c9ae697acca8c34a6c3 train.tar.gz</code></pre> <p>Thanks.</p>
Supplementary data for "Effect of Human Disturbance on Bird Telomere Length: An Experimental Approach"
<p><strong>Abstract</strong></p> <p>Human recreational activities increase worldwide in space and frequency leading to higher rates of encounter between humans and wild animals. Because wildlife often perceive humans as predators, this increase in human disturbance may have negative consequences for the individuals and also for the viability of populations. Up to now, experiments on the effects of human disturbance on wildlife have mainly focused on individual behavioral and stress-physiological reactions, on breeding success, and on survival. However, the effects on other physiological parameters and trans-generational effects remain poorly understood. We used a low-intensity experimental disturbance in the field to explore the impacts of human disturbance on telomere length in great tit (<em>Parus major</em>) populations and found a clear effect of disturbance on telomere length. Adult males, but not females, in disturbed plots showed shorter telomere lengths when compared to control plot. Moreover, variation in telomere length of adult great tits was reflected in the next generation, as we found a positive correlation between telomere length of the chicks and of their fathers. Given that telomere length has been linked to animal lifespan, our study highlights that activities considered to be of little concern (i.e., low levels of disturbance) can have a long-lasting impact on the physiology and survival of wild animals and their next generation.</p>
Subgrid-scale effects in cloud-like atmospheric flows: Colliding thermals - volume 2
<p>Datasets to perform surrogate modeling of subgrid-scale effects in cloud-like atmospheric flows. Please see README.md file for detailed description and metadata.</p>
The contribution of genetic and environmental effects to Bergmann's rule and Allen's rule in house mice
<p>Data associated with the manuscript, "The contribution of genetic and environmental effects to Bergmann's rule and Allen's rule in house mice".</p> <p><strong>Abstract</strong>: Distinguishing between genetic, environmental, and genotype-by-environment effects is central to understanding geographic variation in phenotypic clines. Two of the best-documented phenotypic clines are Bergmann's rule and Allen's rule, which describe larger body sizes and shortened extremities in colder climates, respectively. Although numerous studies have found inter- and intraspecific evidence for both ecogeographic patterns, we still have a poor understanding of the extent to which these patterns are driven by genetics, environment, or both. Here, we measured the genetic and environmental contributions to Bergmann's rule and Allen's rule across introduced populations of house mice (<em>Mus musculus domesticus</em>) in the Americas. First, we documented clines for body mass, tail length, and ear length in natural populations, and found that these conform to both Bergmann's rule and Allen's rule. We then raised descendants of wild-caught mice in the lab and showed that these differences persisted in a common environment and are heritable, indicating that they have a genetic basis. Finally, using a full-sib design, we reared mice under warm and cold conditions. We found very little plasticity associated with body size, suggesting that Bergmann's rule has been shaped by strong directional selection in house mice. However, extremities showed considerable plasticity, as both tails and ears grew shorter in cold environments. These results indicate that adaptive phenotypic plasticity as well as genetic changes underlie major patterns of clinal variation in house mice and likely facilitated their rapid expansion into new environments across the Americas.</p> <p>Supplemental data files are provided below.</p> <p>Code associated with the analysis of these data can be found on GitHub at <a href="https://github.com/malballinger/Ballinger_allenbergmann_AmNat_2021">https://github.com/malballinger/Ballinger_allenbergmann_AmNat_2021</a>.</p>
Raw and analyzed data for manuscript "The synergistic effect of microwave drying and plasma surface treatments on the wettability of green wood"
<p><strong>Abstract:</strong></p> <p>In spite of being a one-step solution to several problems associated with woodworking and being energy efficient, the application of microwave (MW) modification in wood research remained very limited and the promising method has practically no use in wood industries across the globe. Research done so far in this field primarily sheds light on its potential in enhancing wood permeability, treatability and uniform wood drying. While MW treatments are mostly used on wet or green wood, another modification technique, plasma, has potential benefits to synergistically enhance effects of MW treatment, but has not been applied on wet or green wood specimens, so far. This study takes a first step to investigate effects of plasma treatments (PT) on green wood specimens as well as combinations of MW and plasma treatments. As a preliminary study, the methodology focuses on water contact angle measurements, since these are most commonly used as indicators for surface modifications in industrial applications. On the investigated samples of Norway spruce (<em>Picea abies</em> Karst.), an exponential time dependence was found for the contact angle. Initial contact angle after droplet deposition increased due to drying and migration of organic molecules during treatments. In comparison to the literature, the effect of plasma was significantly less pronounced on wet wood specimens. The initial contact angle showed lowest statistical variations after MW treatment, whereas plasma increased inhomogeneities. The final contact angle on treated specimens was lowest for PT-only specimens as well as specimens treated with plasma after MW. In contrast to the initial contact angle, the final contact angle showed lowest variations after PT. Wetting rates were insignificantly improved by plasma, with reduced statistical variations after all treatments.</p>
Automotive Lidar and Vibration: Resonance, Inertial Measurement Unit and Effects on the Point Cloud
<p>This data repository contains vibration tests of an Ouster OS1-64 lidar including a docker based python environment and documentation.</p> <p>It consists of movement data, Fotos, IMU data, pointclouds and a ground truth measurements with an Riegl VZ6000 laser scaner.</p> <p>For further details see the linked publication and the example.ipynb notebook.</p> <p><strong>Quick start</strong></p> <ul> <li> <p>download the repo</p> </li> <li> <p>unzip the archive</p> </li> <li> <p>install VS code with the remote development extension</p> </li> <li> <p>install docker desktop</p> </li> <li> <p>open the folder in a new VS code window</p> </li> <li> <p>Say "yes" to open the folder inside a docker container</p> </li> <li> <p>wait for the container to start</p> </li> <li> <p>open the example jupyter notebook</p> </li> </ul> <p><strong>Structure</strong></p> <blockquote> <pre>├── .devcontainer .... VS code devcontainer (arm64 and amd64)</pre> <pre>├── Acceleromenter_A_z_deflection .... Accelerometer data</pre> <pre>├── Foto .... Fotos of the setup</pre> <pre>│ ├── VZ6000 .... Fotos of the ground truth measurements</pre> <pre>│ └── test_setup .... Fotos of the test setup</pre> <pre>├── Notebook .... A jupyter notebook with examples</pre> <pre>├── OS1_64_IMU .... Ouster IMU data</pre> <pre>├── OS1_64_pointcloud .... point cloud data</pre> <pre>├── VZ6000_groundtruth .... Ground truth data from Riegl VZ6000</pre> <pre> └── targets .... contains 2 different sets of reference</pre> <pre>│ ├── scene_aligned_by_reflectors</pre> <pre>│ └── targets_aligned</pre> <pre>└── files.csv .... an overview of the files and meta data</pre> </blockquote>
Effects of the type of lunch meal and teaching-learning methods on CRI student engagement in afternoon classes.
<p><br> The post-lunch slump is a natural dip in energy caused not only by our circadian cycles but also as a result of digestive processes in our body after consuming lunch meals. It being a widely known concept, there are ample studies that focus on its effects on academic performance of students. While this dip in energy does affect student engagement to a large extent, there are also studies on how the teaching-learning methods are a factor affecting academic performance. However, there are no relevant studies that aim to look at both these factors in tandem, i.e. the effect of lunch along with the teaching-learning methods in the afternoon classrooms as factors influencing academic performance and student engagement. This paper aims to study this area of topic hypothesising that having a more balanced lunch along with engaging in more interactive classes would positively correlate with student engagement in afternoon classes. The study was conducted with bachelors and masters students at the CRI, University of Paris through surveys that were sent to students at the end of their class day. </p> <p>Due to lack of adequate data, the study was not able to produce significant correlations. However smaller nuances of the relationship between lunch, teaching-learning methods and student engagement were found. While engagement in classrooms did seem to be maximum when it was interactive and only 50% of students' lunch was formed of carbohydrates, no significant correlations were found to confirm the hypotheses.</p>
MeV SIMS analysis of irradiation effects on molecular signatures
<p>Characterizing the effect of MeV ion beam irradiation on biological tissues is important for proton beam therapy, which is routinely used as a form of cancer treatment. It is also important for optimizing protocols for multimodal elemental and molecular imaging. Elemental mapping of trace elements in tissues has been carried out for a long time using nuclear microprobe analysis. However, the effect of MeV ion beams on biological samples is largely unexplored. These effects have been explored in Surrey using two mass spectrometry imaging (MSI) techniques – matrix-assisted laser desorption electrospray (MALDI) and desorption electrospray ionization (DESI). The combination of these techniques with ion beam analysis (IBA) presents a few challenges, namely substrate compatibility and de-localization of elemental markers during measurements. As such, MeV-secondary ion mass spectrometry (SIMS) is being explored as an alternative technique for molecular imaging of biological tissues. MeV SIMS, unlike conventional keV SIMS, allows the detection of intact molecules, making it a prime candidate for the molecular analysis of biological samples. This presents an opportunity to benchmark the capabilities of MeV SIMS against established and widely used techniques such as DESI and MALDI. Experiments carried out at Surrey (reported at the ICNMTA 2020) observed that proton beam-induced damage could be mitigated through the application of a MALDI matrix (employed in MALDI as an ionization aid and sample protection). Thus, the role of this matrix is explored in MeV SIMS experiments.</p>
Effect of MgO sintering additive on mullite structures manufactured by fused deposition modeling (FDM) technology
<p>An optimized recipe for 3D printing of Mullite-based structures was used to investigate the effect of MgO sintering additive on the processing stages and final ceramic properties. To achieve dense 3:2 mullite, ceramic filaments were prepared based on an alumina powder, a methyl silicone resin, EVA elastomeric binder and MgO powder. Using 1 wt% MgO and a dwell time of 5 h at 1600 °C, a dense mullite structure could be obtained from filaments with a diameter of 1.75 mm. Ceramic structures with and without sintering additive were printed in vertical and horizontal direction, to investigate the effect of printing direction on mechanical strength after sintering. Using four-point bending test, it was demonstrated that by using MgO, the printing orientation did not affect the mechanical strength significantly anymore. The low Weibull modulus could be explained by the closed porosity that emerge during the degassing of the preceramic polymer due to cross-linking.</p>
Investigating the effects of COVID‑19 lockdown on Italian children and adolescents with and without neurodevelopmental disorders: a cross‑sectional study - DATASET
<p>Dataset to support the findings in the journal paper titled "Investigating the effects of COVID‑19 lockdown on Italian children and adolescents with and without neurodevelopmental disorders: a cross‑sectional study".</p> <p>Each row is a different subject.</p> <p>Each column represents an answer to the questionnaire. For single choice questions, the answer was reported as-is (Italian). For multiple choice questions, the alternatives where splitted in several columns and the answer was coded as 0/1 (one hot encoding). For the "school" column, 2=primary school, 3=middle school, 4=high school. For the "school.class" column, classes from 4 to 8 belong to primary school, from first to fifth grade; classes from 9 to 11 belong to middle school, from first to third grade; classes from 12 to 16 belong to high school, from first to fifth grade.</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.