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12,346 results for “derivatives”
COVID-19 case-fatality–derived age-adjusted risk of death
<p><strong>This is a version of the plot without split into gender-adjusted risks. For the newer version with gender-adjusted curves, please visit </strong><a href="https://zenodo.org/record/3829175">https://zenodo.org/record/3829175</a><br> doi:10.5281/zenodo.3787931</p> <p>This is a plot of the risk of death in COVID-19, which was adjusted by the age and derived from the case fatality data kindly collected by the team of data scientists and data engineers participating in the Kaggle project Data Science for COVID-19 in South Korea (DS4C), which is hosted at https://www.kaggle.com/kimjihoo/coronavirusdataset.</p> <p>The model for the plot was created with the release 2.1 of the Python & C library initially published on April 3, 2020 on GitHub at https://github.com/yuryatin/covid19_age_adjusted_mortality.</p> <p>Please, visit https://github.com/yuryatin/covid19_age_adjusted_mortality for more detailed description of the model and the source code.</p>
Spherical harmonic model of the Moon's magnetic field derived from gridded data in Tsunakawa et al. (2015)
<p><strong>T2015_449</strong> is a 449 degree and order spherical harmonic model of the magnetic potential of the Moon. This model was used in Wieczorek (2018) and is a spherical harmonic expansion of the global magnetic field model of Tsunakawa et al. (2015). The original gridded data are from the file "globalSVM20150511/LunarSVM_000_02_v01.dat" and the spherical harmonic coefficients use the standard Schmidt semi-normalization, excluding the Condon-Shortley phase factor of (-1)<sup>m</sup>. The coefficients are in units of Teslas.</p>
Data from: Cu-Al mixed oxide-catalysed multicomponent synthesis of gluco- and allofuranose-linked 1,2,3-triazole derivatives
<p><span>A series of carbohydrate linked-1,2,3-triazole derivatives were synthetized in good yields from glucofuranose and allofuranose diacetonides using as key step a three-component 1,3-dipolar azide-alkyne cycloaddition catalyzed by a Cu-Al mixed oxide. In this multicomponent reaction, Cu-Al mixed oxide/sodium ascorbate system serves as highly reactive, recyclable and efficient heterogeneous catalyst for regioselective synthesis of 1,4-disubstituted 1,2,3-triazoles. The reported protocol has significant advantages over classical CuI/DIPEA or CuSO<sub>4</sub>/sodium ascorbate conditions in terms of efficiency and reduced synthetic complexity. In addition, the selective deprotection of synthesized di-<i>O</i>-isopropylidene derivatives was also carried out leading to the corresponding mono-<i>O</i>-isopropylidene products in moderate yields. Some of the synthesized triazole glycoconjugates were tested for their <em>in vitro</em> antimicrobial activity using the disk diffusion method against Gram-positive bacteria (<i>Staphylococcus aureus</i> and <i>Bacillus subtilis</i>), Gram-negative bacteria (<i>Escherichia coli</i> and <i>Pseudomonas aeruginosa</i>), as well as fungus (<i>Aspergillus niger</i>) and yeast (<i>Candida utilis</i>). The results revealed that these compounds exhibit moderate to good antimicrobial activity mainly against Gram-negative bacteria. </span></p>
The global critical frequency foEs data derived from the FORMOSAT-3/COSMIC S4max for the period 2006 to 2014
<p>The ionospheric sporadic E (Es) layer has a significant impact on the Global Positioning System (GPS)/Global Navigation Satellite System (GNSS) signals. These influences on the GPS/GNSS signals can also be used to study the occurrence and characteristics of the Es layer on a global scale. In this paper, 5.8 million radio occultation (RO) profiles from the FORMOSAT-3/COSMIC satellite mission and ground-based observations of Es layers recorded by 25 ionospheric monitoring stations and held at the UK Solar System Data Centre at the Rutherford Appleton Laboratory and the Chinese Meridian Project were used to derive the hourly Es critical frequency (f<sub>o</sub>Es) data. The global distribution of f<sub>o</sub>Es with a high spatial resolution shows a strong seasonal variation in f<sub>o</sub>Es with a summer maximum exceeding 4.0 MHz and a winter minimum between 2.0–2.5 MHz. The GPS/GNSS RO technique is an important tool that can provide global estimates of Es layers, augmenting the limited coverage and low frequency detection threshold of ground-based instruments. Attention should be paid to small f<sub>o</sub>Es values from ionosondes near the instrumental detection limits corresponding to minimum frequencies in the range 1.28–1.60 MHz.</p>
Data from: Chemical structure predicts the effect of plant-derived low-molecular weight compounds on soil microbiome structure and pathogen suppression
<p>1. Plant-derived low molecular weight compounds play a crucial role in shaping soil microbiome functionality. While various compounds have been demonstrated to affect soil microbes, most data are case-specific and do not provide generalizable predictions on their effects. Here we show that the chemical structural affiliation of low molecular weight compounds typically secreted by plant roots – sugars, amino acids, organic acids and phenolic acids – can predictably affect microbiome diversity, composition and functioning in terms of plant disease suppression.</p> <p>2. We amended soil with single or mixtures of representative compounds, mimicking carbon deposition by plants. We then assessed how different classes of compounds, or their combinations, affected microbiome composition and the protection of tomato plants from the soil-borne Ralstonia solanacearum bacterial pathogen.</p> <p>3. We found that chemical class predicted well the changes in microbiome composition and diversity. Organic and amino acids generally decreased the microbiome diversity compared to sugars and phenolic acids. These changes were also linked to disease incidence, with amino acids and nitrogen-containing compound mixtures inducing more severe disease symptoms connected with a reduction in bacterial community diversity.</p> <p>4. Together, our results demonstrate that low molecular weight compounds can predictably steer rhizosphere microbiome functioning providing guidelines to engineer microbiomes based on root exudation patterns by specific plant cultivars or crop regimes.</p>
Estimating leaf nitrogen concentration based on the combination with fluorescence spectrum and first-derivative
Leaf nitrogen concentration (LNC) is a major indicator in the estimation of the crop growth status which has been diffusely applied in remote sensing. Thus, it is important to accurately obtain LNC by using passive or active technology. Laser-induced fluorescence (LIF) can be applied to monitor LNC in crops through analyzing the changing of fluorescence spectral information. Thus, the performance of fluorescence spectrum (FS) and first-derivative fluorescence spectrum (FDFS) for paddy rice (Yangliangyou 6 and Manly Indica) LNC estimation was discussed, and then the proposed FS+FDFS was used to monitor LNC by multivariate analysis. The results showed that the difference between FS (R2=0.781, SD=0.078) and FDFS R2=0.779, SD=0.097) for LNC estimation by using the artificial neural network (ANN) is not obvious. The proposed FS+FDFS can improved the accuracy of LNC estimation to some extent (R2=0.813, SD=0.051). Then, principal component analysis was used in FS and FDFS, and extracted the main fluorescence characteristics. The results indicated that the proposed FS+FDFS exhibited higher robustness and stability for LNC estimation (R2=0.851, SD=0.032) than that only using FS (R2=0.815, SD=0.059) or FDFS (R2=0.801, SD=0.065).
Data from: Spatiotemporal variation in disturbance impacts derived from simultaneous tracking of aircraft and shorebirds
<p>1. Assessing impacts of disturbance over large areas and long time periods is crucial for nature management, but also challenging since impacts depend on both wildlife responses to disturbance and on the spatiotemporal distribution of disturbance sources. Combined tracking of animals and disturbance sources enables quantification of wildlife responses as a function of the distance to a disturbance source. We provide a framework to derive such distance-response curves and combine those with disturbance source presence data to quantify energetic costs of disturbance at a landscape scale. 2. We tracked 90 Eurasian Oystercatchers Haematopus ostralegus and all aircraft in a military training area in the Dutch Wadden Sea. We quantified distance-response curves estimating flight probability and additional displacement for five types of aircraft activities, by comparing bird movement prior to aircraft presence with movement during aircraft presence. We then used the distance-response curves to map mean and variation in additional daily energy expenditure due to cumulative aircraft disturbance across the landscape for a 700-day period. 3. Flight probability and displacement responses differed strongly among aircraft activities and decreased from transport airplanes, through bombing jets, helicopters, jets to small civil airplanes. Since the most disturbing aircraft activities were also the rarest ones, mean additional daily energy expenditure did not exceed 0.25%. However, days with substantial (>1%) additional expenditure occurred between 0.1% and 3.7% of all days across high tide roosts in the tidal basin. Notably, expenditure particularly spiked on days with transport airplane activity (up to 8.5%). 4. Synthesis and applications. Cumulative energetic flight costs due to aircraft disturbance are low and unlikely to impact survival of oystercatchers in our study area. Our results provide evidence that the legal minimum flight height of 450m for small civil airplanes effectively limits disturbance of oystercatchers. Mitigation should focus on limiting the number of days when disturbance has a high impact by reducing rare but highly disturbing activities, especially transport airplanes. Our approach can be applied to other species and disturbance sources that are automatically tracked, e.g. boats and walkers, ultimately to quantify the entire anthropogenic disturbance landscape.</p>
CLDF dataset derived from Gauchat et al.'s "Tableaux phonétiques des patois suisses romands" from 1925
<p>Cite the source of the dataset as:</p> <blockquote> <p>Gauchat, L.; Jeanjaquet, J. & Tappolet, E. (1925): Tableaux phonétiques des patois suisses romands Attinger: Neuchâtel.</p> </blockquote>
Comparing the effect of TGF-β receptor inhibition on human mesenchymal stem/stromal cells derived from endometrium, bone marrow and adipose tissues
<p><strong>Figure S1: Differences between bmMSC donors. A)</strong> Graph showing two groups of bmMSCs with and without effect of A83-01 treatment on % SUSD2<sup>+</sup> cells. <strong>B)</strong> Graph showing no difference in the number of cells following A83-01 treatment in the two groups of donor cells from <strong>A</strong>. Plots are median for n=3 biological samples per treatment group.</p>
Data for the paper "An Inversion Algorithm for Deriving Shallow Structure using Co-located Wind, Pressure, and Seismic Data"
<p>Wind, pressure, and seismic data used in the paper "An Inversion Algorithm for Deriving Shallow Structure using Co-located Wind, Pressure, and Seismic Data"</p>
Database of the paper: "Pressure-to-depth conversion models for metamorphic rocks: derivation and applications"
<p>Dataset associated with the paper entitled "Pressure-to-depth conversion models for metamorphic rocks: derivation and applications" by Bauville A. and Yamato P. (Geochemistry, Geophysics, Geosystems)</p> <p>These links allow to download:</p> <p>- The database with Pp, Tp, Pr and Tr in .xlsx format</p> <p>- The database with Pp, Tp, Pr and Tr in .txt format</p> <p>- The associated references list</p> <p>Please, contact P. Yamato for additional information.</p>
Indirect parental effects on offspring fitness by egg-derived fluids in an external fertiliser
<p>The capacity for parents to influence offspring phenotypes via nongenetic inheritance is currently a major area of focus in evolutionary biology. Intriguing recent evidence suggests that sexual interactions among males and females, both before and during mating, are important mediators of such effects. Sexual interactions typically extend beyond gamete release, involving both sperm and eggs, and their associated fluids. However, the potential for gamete-level interactions to induce transgenerational parental effects remains under-investigated. Here, we test for such effects using an emerging model system for studying gamete interactions, the external fertiliser Mytilus galloprovincialis. We employed a split-ejaculate design to test whether exposing sperm to egg-derived chemicals (ECs) from one female would affect fertilisation rate and offspring survival when those sperm were used to fertilise a different female's eggs. We found significant and separate effects of ECs from non-fertilising females on both fertilisation rate and offspring survival. The offspring survival effect indicates that EC-driven interactions can have transgenerational implications for offspring fitness independent of the genotypes inherited by those offspring. These findings provide a rare test of indirect parental effects driven exclusively by gamete-level interactions, and to our knowledge the first evidence that such effects occur via the gametic fluids of females.</p>
Model Age Derivation of Large Martian Impact Craters, using automatic crater counting methods / Dataset
<ul> <li>"counting_area" folder: shapefiles of the mapped ejecta layers considered in this study</li> <li>"scc" folder: .scc files readable on CraterStats listing the size and location of craters detected by our CDA and recognized as primaries by the ASCI. The counting area considered for each crater slightly vary from the area indicated in the shapefile due to the removal of Thiessen polygons associated to secondary craters by the ASCI.</li> </ul> <p>The ASCI code and toolbox implementable to ESRI ArcGIS (10.6) is discoverable here: https://github.com/curtin-crater-detection/secondary-crater-removal<br> </p>
Dataset for "Analytic High-order Geometric Derivatives with Polarizable Embedding in a Response Function Framework"
<p>This dataset contains data for the article "Analytic High-order Geometric Derivatives with Polarizable Embedding in a Response Function Framework"</p>
Data from: Predatory lizards perceive plant-derived volatile odorants
Many lizards are olfactory foragers and prey upon herbivorous arthropods, yet their responses to common herbivore‐associated plant volatiles remain unknown. As such, their role in mediating plant indirect defenses also remains largely obscured. In this paper, we use a cotton‐swab odor presentation assay to ask whether lizards respond to two arthropod‐associated plant‐derived volatile compounds: 2‐(E)‐hexenal and hexanoic acid. We studied the response of two lizard species, Sceloporus virgatusand Aspidoscelis exsanguis, because they differ substantially in their foraging behavior. We found that the actively foraging A. exsanguisresponded strongly to hexanoic acid, whereas the ambush foraging S. virgatus responded to 2‐(E)‐hexenal—an herbivore‐associated plant volatile involved in indirect defense against herbivores. These findings indicate that S. virgatus may contribute to plant indirect defense and that a species' response to specific odorants is linked with foraging mode. Future studies can elucidate how lizards use various compounds to locate prey and how these responses impact plant‐herbivore interactions.
Data from: Preparation and structure of SiOCN fibers derived from cyclic silazane/PAA hybrid precursor
Ceramic matrix composite (CMC) materials have been considered a desired solution for lightweight and high temperature applications. Simultaneously, among all different CMC reinforcements, Polymer-Derived Ceramic (PDC) fibers have gained attention for the intrinsic thermal stability and mechanical strength with simple and cost-effective synthesis techniques. Here, carbon-rich silicon oxycarbide (SiOC) fibers were synthesized via hand-drawing and polymer pyrolysis of a hybrid precursor of 1,3,5,7-tetramethyl-1,3,5,7-tetravinyl-cyclotetrasilazane (TTCSZ) and polyacrylic acid (PAA). The type of silazane reported in this work is considered as a major precursor for SiCN, however it is unspinnable, due to its unfavorable physical properties (low viscosity) and chemical structure (cyclic rather than linear structure). The introduction of PAA to TTCSZ to create a hybrid precursor remarkably improved spinnability of the silazane and should be widely applicable to other unspinnable PDC preceramic polymers. Investigations on structural and compositional development of the fibers were mainly conducted via Raman spectroscopy, Fourier-Transform InfraRed spectroscopy (FTIR), Scanning Electron Microscopy (SEM), X-ray Photoelectron Spectroscopy (XPS), Nuclear Magnetic Resonance (NMR) and ThermoGravimetric Analysis (TGA) to determine spinnability, free carbon content, cross-linking and pyrolysis behavior of the fibers, respectively.
Follow-up: Prospective compound design using the ‘SAR Matrix’ method and matrix-derived conditional probabilities of activity
<p>Details of the conditional probability calculations on exemplary the matrix provided in Figure 3 of the publication (see Gupta-Ostermann, Hirose, Odagami & Bajorath, Follow-up: Prospective compound design using the ‘SAR Matrix’ method and matrix-derived conditional probabilities of activity, F1000Research 2015, 4:75 , DOI: 10.12688/f1000research.6271.1 ) is provided in an excel sheet. </p> <p>Informative SARMs from the PRISM library are included. Due to proprietary issues the structural information of compounds is not included. Key and value fragments of SARMs are provided with an identifier.</p>
Molecular dynamics derived side chain order parameters for Asp, Glu, Asn, and Gln residues in ribonucleases H, and molecular dynamics trajectories for E. coli ribonuclease H
<p>This dataset contains tab-delimited text files reporting the complete calculated S2 side chain order parameters for carboxyl- and carbonyl-containing residues (Asp, Glu, Asn, Gln) in all RNase H homologs studied, as well as complete simulation trajectory data for the E. coli apo, site A, and site B simulations described in the text. We hope that easy access to the complete trajectory data for the experimentally best-characterized homolog will facilitate future comparison between simulation and experiments.</p> <p>order_parameters_magnesium.dat contains the calculated S2 side chain order parameters for carboxyl- and carbonyl-containing residues in each of the three E. coli trajectories supplied in this dataset. These data are sufficient to reproduce Figure 6.</p> <p>2RN2.apo.pdb, 2RN2.MG.siteA.pdb, and 2RN2.MG.siteB.pdb define the equilibrated structure from which the E. coli apo, site A, and site B trajectories were initiated. All protein atoms, including hydrogens, are included, as well as Mg ions. Explicit waters and chloride counterions have been removed.</p> <p>2RN2.apo.dcd, 2RN2.MG.siteA.dcd, and 2RN2.MG.siteB.dcd contain 100ns trajectories initiated from the starting structures in the corresponding pdb files. Frames were written every 4.5ps. Trajectories have been aligned to the initial structure of the apo trajectory to facilitate visualization.</p> <p>The remaining *.S2.CO.dat files contain the calculated S2 side chain order parameters for all apo RNases H simulated in this study. Each file is named for the PDB ID of its corresponding structure (see Table 1). These data are sufficient to reproduce Figure 8 (which reports on only the conserved active-site residues).</p>
X-ray diffraction images for DPF3 tandem PHD fingers co-crystallized with an acetylated histone-derived peptide
<p>This submission includes a tar archive of bzipped diffraction images recorded with the ADSC Q315r detector at the Advanced Photon Source of Argonne National Laboratory, Structural Biology Center beam line 19-ID. Relevant meta data can be found in the headers of those diffraction images.</p> <p>Please find below the content of an input file XDS.INP for the program XDS (Kabsch, 2010), which may be used for data reduction. The "NAME_TEMPLATE_OF_DATA_FRAMES=" item inside XDS.INP may need to be edited to point to the location of the downloaded and untarred images.</p> <p>!!! Paste lines below in to a file named XDS.INP</p> <p>DETECTOR=ADSC MINIMUM_VALID_PIXEL_VALUE=1 OVERLOAD= 65000<br /> DIRECTION_OF_DETECTOR_X-AXIS= 1.0 0.0 0.0<br /> DIRECTION_OF_DETECTOR_Y-AXIS= 0.0 1.0 0.0<br /> TRUSTED_REGION=0.0 1.05<br /> MAXIMUM_NUMBER_OF_JOBS=10<br /> ORGX= 1582.82 ORGY= 1485.54<br /> DETECTOR_DISTANCE= 150<br /> ROTATION_AXIS= -1.0 0.0 0.0<br /> OSCILLATION_RANGE=1<br /> X-RAY_WAVELENGTH= 1.2821511<br /> INCIDENT_BEAM_DIRECTION=0.0 0.0 1.0<br /> FRACTION_OF_POLARIZATION=0.90<br /> POLARIZATION_PLANE_NORMAL= 0.0 1.0 0.0<br /> SPACE_GROUP_NUMBER=20<br /> UNIT_CELL_CONSTANTS= 100.030 121.697 56.554 90.000 90.000 90.000<br /> DATA_RANGE=1 180<br /> BACKGROUND_RANGE=1 6<br /> SPOT_RANGE=1 3<br /> SPOT_RANGE=31 33<br /> MAX_CELL_AXIS_ERROR=0.03<br /> MAX_CELL_ANGLE_ERROR=2.0<br /> TEST_RESOLUTION_RANGE=8.0 3.8<br /> MIN_RFL_Rmeas= 50<br /> MAX_FAC_Rmeas=2.0<br /> VALUE_RANGE_FOR_TRUSTED_DETECTOR_PIXELS= 6000 30000<br /> INCLUDE_RESOLUTION_RANGE=50.0 1.7<br /> FRIEDEL'S_LAW= FALSE<br /> STARTING_ANGLE= -100 STARTING_FRAME=1<br /> NAME_TEMPLATE_OF_DATA_FRAMES= ../x247398/t1.0???.img</p> <p>!!! End of XDS.INP</p> <p> </p> <p> </p>
Comparing distribution of harbour porpoises (Phocoena phocoena) derived from satellite telemetry and passive acoustic monitoring
<p>Data used for publication in Plos One. Two excel files. The satellite_filtered_data is the filtered satellite positions used for MaxEnt modelling in R. The CPOD_data_PPH is the raw C-POD data expressed here as porpoises positive hours (PPH) and can easily be converted to porpoise positive days (PPD).</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.