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2,135 results for “stabling”
Data from: Stable isotope evidence for long-term stability of large-scale hydroclimate in the Neogene North American Great Plains
<p>The Great Plains of North America host a stark climatic gradient, separating the humid and well-watered eastern US from the semi-arid and arid western US, and this gradient shapes the region's water availability, its ecosystems, and its economies. This climatic boundary is largely set by the influence of two competing atmospheric circulation systems that meet over the Great Plains—the wintertime westerlies bring dominantly dry air that gives way to moist, southerly air transported by the Great Plains Low-Level Jet in the warmer months. Climate model simulations suggest that, as CO<sub>2</sub> rises, this low- level jet will strengthen, leading to greater precipitation in the spring, but less in the summer and, thus, no change in mean annual precipitation. Combined with rising temperatures that will increase potential evapotranspiration, semi-arid conditions will shift eastward, with potentially large consequences for the ecosystems and inhabitants of the Great Plains. We examine how hydroclimate in the Great Plains varied in the past in response to warmer global climate by studying the paleoclimate record within the Ogallala Formation, which underlies nearly the entire Great Plains and provides a spatially resolved record of hydroclimate during the globally warmer late Miocene. We use the stable isotopes of oxygen (δ<sup>18</sup>O) as preserved in authigenic carbonates hosted within the abundant paleosol and fluvial successions that comprise the Ogallala Formation as a record of past hydroclimate. Today, and coincident with the modern aridity gradient, there is a sharp meteoric water δ<sup>18</sup>O gradient with high (−6 to 0‰) δ<sup>18</sup>O in the southern Great Plains and low (−12 to −18‰) δ<sup>18</sup>O in the northern Plains. We find that the spatial pattern of reconstructed late Miocene precipitation δ<sup>18</sup>O is indistinguishable from the spatial pattern of modern meteoric water δ<sup>18</sup>O. We use a recently developed vapor transport model to demonstrate that this δ<sup>18</sup>O spatial pattern requires air mass mixing over the Great Plains between dry westerly and moist southerly air masses in the late Miocene—consistent with today. Our results suggest that the spatial extent of these two atmospheric circulation systems have been largely unchanged since the late Miocene and any strengthening of the Great Plains Low-Level Jet in response to warming has been isotopically masked by proportional increases in westerly moisture delivery. Our results hold implications for the sensitivity of Great Plains climate to changes in global temperature and CO<sub>2</sub> and also for our understanding of the processes that drove Ogallala Formation deposition in the late Miocene.</p>
Developmentally stable representations of naturalistic image structure in macaque visual cortex
<p>Data and analysis code used in <em>Developmentally stable representations of naturalistic image structure in macaque visual cortex</em></p> <div>Gerick M. Lee, C. L. Rodríguez-Deliz, Brittany N. Bushnell, Najib J. Majaj, J. Anthony Movshon, Lynne Kiorpes</div> <div>bioRxiv 2024.02.24.581889; doi: https://doi.org/10.1101/2024.02.24.581889</div> <p>The directory structure includes three .m files, each beginning with the word "repository" - these three files should work out of the box to generate all the figures from the manuscript. </p> <p>1) Download the zip file.</p> <p>2) Navigate to the repository directory in matlab.</p> <p>3) Run the repository of interest.</p>
Data from: Dietary partitioning among three cryptobentic reef fish mesopredators revealed by visual analysis, metabarcoding of gut content, and stable isotope analysis
<p>Understanding how mesopredators partition their diet and the identity of consumed prey can assist in understanding the ecological role predators and prey play in ecosystem trophodynamics. Here, we assessed the diet of three common coral reef mesopredators; <em>Pseudochromis flavivertex</em>, <em>Pseudochromis fridmani</em>, and <em>Pseudochromis olivaceus</em> from the family Pseudochromidae, commonly known as dottybacks, using a combination of i) visual stomach content analysis, ii) stomach content DNA metabarcoding (18S, COI), and iii) stable isotope analysis (δ<sup>15</sup>N, δ<sup>13</sup>C). In addition, <em>P. flavivertex</em> is found in two distinct color morphs in the Red Sea, providing an opportunity to analyze intra-morph differences. These techniques revealed partitioning in the dietary composition and resource use among species. Arthropods comprised the main dietary component of <em>P. flavivertex</em> (18S > 60%; COI > 10%), and <em>P. olivaceus</em> (18S = 57.2%) while <em>P. fridmani</em> ingested predominantly mollusks (18S = 51.3%, COI = 24.6%). Despite being small predators, microplastics were found in the gut content of some of these fishes. Stable isotope analysis showed differences in species' isotopic niche breadth and trophic position. <em>Pseudochromis olivaceus</em> presented the largest isotopic niche (SEA<sub>C</sub> = 1.61‰<sup>2</sup>), while <em>P. fridmani</em> showed the smallest isotopic niche (SEA<sub>C</sub> = 0.45‰<sup>2</sup>) among species. Although the two techniques used for stomach content analysis did not show differences in the diet within color morphs of <em>P. flavivertex</em>, they differed in the isotopic niche and resource use. Despite our limited sampling, our findings provide evidence of species-specific differences in the trophic ecology of dottybacks and demonstrate their important role as predators of cryptic invertebrates and small fishes. This study highlights the importance of combining several approaches (short-term: visual analysis and DNA metabarcoding; and long-term: isotope analysis) when assessing the feeding habits of coral reef fish, as they provide complementary information necessary to delimit their niches and understand the role that small mesopredators play in coral reef ecosystems.</p>
Project - Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
<p>Here are the datasets for our publication entitled "<a href="https://www.nature.com/articles/s41467-024-48779-z">Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis</a>" published in Nature Communications. </p> <p>The object of this experiment is the 18650 nickel-cobalt-manganese (NCM) lithium-ion battery manufactured by "LISHEN". The chemical composition is LiNi<sub>0.5</sub>Co<sub>0.2</sub>Mn<sub>0.3</sub>O<sub>2</sub>. The nominal capacity of the battery is 2000 mAh, and the nominal voltage is 3.6 V. The charging cut-off voltage and discharging cut-off voltage are 4.2 V and 2.5 V, respectively. The whole experiment was conducted at room temperature. A total of 55 batteries were included in this experiment, conducted under 6 different charging and discharging strategies. The charging and discharging platform is ACTS-5V10A-GGS-D, and the sampling frequency for all data is 1Hz.</p> <p>Other details can be found in "Data Introduction.pdf" file.</p> <p>The <strong>Python Code</strong> for reading and preprocessing this dataset is available at: <a href="https://github.com/wang-fujin/Battery-dataset-preprocessing-code-library">https://github.com/wang-fujin/Battery-dataset-preprocessing-code-library</a></p> <p>Summary of articles using the this dataset: <a href="https://github.com/wang-fujin/XJTU-Battery-Dataset-Papers-Summary">https://github.com/wang-fujin/XJTU-Battery-Dataset-Papers-Summary</a></p> <p> </p> <p>If you find this data helpful, please consider citing our paper:</p> <p>Wang, F., Zhai, Z., Zhao, Z. <em>et al.</em> Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis. <em>Nat Commun</em> <strong>15</strong>, 4332 (2024). https://doi.org/10.1038/s41467-024-48779-z</p>
Dataset: Testing for effects of growth rate on isotope trophic discrimination factors and evaluating the performance of Bayesian stable isotope mixing models experimentally: a moment of truth?
<p><span>Discerning assimilated diets of wild animals using stable isotopes is well established where potential dietary items in food webs are isotopically distinct. With the advent of mixing models, and Bayesian extensions of such models (Bayesian Stable Isotope Mixing Models, BSIMMs), statistical techniques available for these efforts have been rapidly increasing. The accuracy with which BSIMMs quantify diet, however, depends on several factors including uncertainty in tissue discrimination factors (TDFs; <em>Δ</em>) and identification of appropriate error structures. Whereas performance of BSIMMs has mostly been evaluated with simulations, here we test the efficacy of BSIMMs by raising domestic broiler chicks (<em>Gallus gallus domesticus</em>) on four isotopically distinct diets under controlled environmental conditions, ideal for evaluating factors that affect TDFs and testing how BSIMMs allocate individual birds to diets that vary in isotopic similarity. For both liver and feather tissues,<em> δ</em><sup>13</sup>C and <em>δ </em><sup>15</sup>N values differed among dietary groups. <em>Δ</em><sup>13</sup>C of liver, but not feather, was negatively related to the rate at which individuals gained body mass. For <em>Δ</em><sup>15</sup>N, we identified effects of dietary group, sex, and tissue type, as well as an interaction between sex and tissue type</span><span><span>, </span></span><span><span>with f</span></span><span>emales having higher liver <em>Δ</em><sup>15</sup>N relative to males. For both tissues, BSIMMs allocated most chicks to correct dietary groups, especially for models using combined TDFs rather than diet specific TDFs, and those applying a multiplicative error structure. These findings provide new information on how biological processes affect TDFs and confirm that adequately accounting for variability in consumer isotopes is necessary to optimize performance of BSIMMs. Moreover, they demonstrate experimentally that these types of models reliably characterize consumed diets when appropriately parameterized.<span> </span></span></p>
Simulations from a max-stable process on a 64 x 64 grid
<p>Simulations from a max-stable process to reproduce the results in Section 5.2 of "Spatial Bayesian Neural Networks", https://doi.org/10.1016/j.spasta.2024.100825. For details on the process, spatial locations, etc., please refer to the paper.</p>
Dataset for Sulfidation of air-stable iron nanoparticles: A novel strategy how to boost their reactivity demonstrated on Cr(VI) reduction
<p><strong>This repository contains data from the manuscript:</strong></p> <p>Víchová, V., Oborná, J. K., Petr, M., Soukupová, J., Pechancová, R., Pluháček, T., & Filip, J. (2024). Sulfidation of air-stable iron nanoparticles: A novel strategy how to boost their reactivity demonstrated on Cr (VI) reduction. <em>Journal of Water Process Engineering</em>, <em>67</em>, 106246. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jwpe.2024.106246" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jwpe.2024.106246</a></p> <p><strong>Abstract of the manuscript:</strong></p> <p>Sulfidated zero-valent iron nanoparticles (S-nZVI) have been extensively studied as environmentally promising<br>alternative material, which enables reduction of variety of extremely dangerous pollutants directly in the<br>environment. However, synthesis and manipulation with these extremely reactive/pyrophoric nZVI particles<br>represents a challenge and requires special precautions. In this study, we report a synthesis of S-nZVI from airstable<br>core-shell nZVI, which reactivity with contaminants and properties are comparable with the commonly<br>prepared S-nZVI particles (where the precursor was bare/pyrophoric nZVI particles). The undeniable novelty<br>dwells in the simplicity of the synthetic process, which ensures consequential safe and easy handling, manipulation,<br>and application of S-nZVI particles. This material, especially highly effective against halogenated organic<br>compounds and heavy metals, was characterized in detail and its advanced characteristics were evaluated in the<br>process of hexavalent chromium (Cr(VI)) reduction from model aqueous solutions and polluted groundwater.<br>The results offer valuable insights into the preparation of a novel nanomaterial with high application potential in<br>the effective degradation of heavy metals in polluted water. Overall, the novel way prepared S-nZVI particles,<br>designed for the potential large-scale production, eliminates the drawbacks of S-nZVI synthesized from bare nZVI<br>particles and offers the effective material suitable for any on-site application.</p>
E-scape: consumer-specific landscapes of energetic resources derived from stable isotope analysis and remote sensing
<p>Energetic resources and habitat distribution are inherently linked. Energetic resource availability is a major driver of the distribution of consumers, but estimating how much specific habitats contribute to the energetic resource needs of a consumer can be problematic.</p> <p>We present a new approach that combines remote sensing information and stable isotope ecology to produce maps of energetic resources (<i>E</i>-scapes). <i>E</i>-scapes project species-specific resource use information onto the landscape to classify areas based on energetic importance.</p> <p>Using our <i>E</i>-scapes, we investigated the relationship between energetic resource distribution and white shrimp distribution and how the scale used to generate the <i>E</i>-scape mediated this relationship.</p> <p><i>E</i>-scapes successfully predicted the size, abundance, biomass, and total energy of a consumer in salt marsh habitats in coastal Louisiana, USA at scales relevant to the movement of the consumer.</p> <p>Our <i>E</i>-scape maps can be used alone or in combination with existing models to improve habitat management and restoration practices and have potential to be used to test fundamental movement theory. </p>
Stable isotopes unravel the feeding mode-trophic position relationship in trematode parasites
<div class="WordSection1"> <p><span>1. Stable isotopes have been sporadically used over the last two decades to characterise host-parasite trophic relationships. The main reason for this scarcity is the lack of an obvious pattern in the ratio of nitrogen stable isotope values (<i>δ</i><sup>15</sup>N) of parasites in comparison to their host tissues, which would be key to understand any host-parasite system dynamics. </span></p> <p><span>2. To circumvent this, we focused on a single snail host, <i>Zeacumantus subcarinatus</i>, and three of its trematode parasites. </span></p> <p><span>3. We used stable isotopes to investigate each host-trematode trophic relationship and shed light on the mechanisms utilised by the parasite to reroute its hosts' biomass. </span></p> <p><span>4. All our trematodes were found to be <sup>15</sup>N-enriched compared to their host, with their <i>δ</i><sup>15</sup>N values strongly related to their feeding behaviours: passive vs active. It was possible to 'rank' these parasite species and assess their 'relative' trophic position using <i>δ</i><sup>15</sup>N values. We also demonstrated that including a broader range of samples (e.g. host food and faeces, multiple parasite life stages) helped understand the metabolic mechanisms used by the various participants, and that using carbon stable isotope values and C:N ratios allowed to identify an important lipid requirement of these trematode parasites. Finally, we show how critical it is to not ignore parasitic infections as they can have a great influence on their host's trophic position.</span></p> <p><span>5. We have shown that by focussing on a single host species and a single taxonomic group of parasites, we can remove a certain amount of variation recorded by broader isotope studies. We hope that these data will ultimately improve our ability to place parasites in food webs, and thus improve our understanding of the connections and interactions that dictate food web dynamics. </span></p> </div>
ZEO-1, A Stable Zeolite Catalyst with Intersecting Three-Dimensional extralarge Plus Large Pores
<p>ZEO-1 is an aluminosilicate zeolite with a multidimensional system of interconnected extra-large pores. This aluminosilicate has a high silica content and a zeolitic, non-interrupted framework, with high thermal and hydrothermal stability. The pore system of ZEO-1 contains both 3D 16MR and large 3D 12MR channels with high interconnectivity that results in three types of supercages with four windows of 16MR and/or 12MR. </p>
Year-round observations of stable carbon isotopic composition of diacids and related compounds in fine aerosols at Tianjin, North China – Data set
<p>To better understand the origins and photochemical processing of water-soluble organic aerosols in the Tianjin region, North China, we studied the stable isotopic composition (δ<sup>13</sup>C) of diacids, oxoacids, α-dicarbonyls, citric acid and fatty acids in fine aerosols (PM<sub>2.5</sub>) collected at an urban (Nankai District, ND; <em>n</em> = 121) and a suburban (Haihe Education Park, HEP; <em>n</em> = 40) sites in Tianjin from 5 July 2018 to 4 July 2019. The δ<sup>13</sup>C of diacids and related compounds were measured using a capillary gas chromatography (Agilent 7890B) coupled with isotope ratio mass spectrometry (GC-irMS) system. Based on seasonal variations in δ<sup>13</sup>C of selected species and linear relations with their concentrations and mass ratios, we found that the diacids and related compounds were mainly derived from fossil fuel including coal combustion and biomass burning and photochemical processing, preferably in gaseous- and aqueous-phases in warm (March-September) and cold (October-February) periods, respectively, in Tianjin, North China.</p>
Data for figures in "An ultra-stable microresonator-based electro-optic dual frequency comb"
<p>Data for figures in "An ultra-stable microresonator-based electro-optic dual frequency comb"</p> <p> </p> <p>"Contents.csv" summarises data files.</p>
Stable Water Isotopes in Fresh Snow Along 2 Slopes in the canton of Grisons/Graubünden, Switzerland: the "Chruez", Praettigau and Eastward ascent to the Vilan Peak
<p>This bachelor thesis concerned itself with the composition of <span class="math-tex">\(\delta\)</span>2H (or deuterium), <span class="math-tex">\(\delta\)</span>18O and <span class="math-tex">\(\delta\)</span>17O in fresh snow. Stable water isotopes have been proven to be useful tracers for hydrological processes, such as air mass sources of regional precipitation or the residence time of snowmelt in a catchment (Beria et al., 2018). Whereas different isotopic compositions of precipitation in the form of rain is well documented for different environments in networks such as the NISOT (The Swiss National Network for the Observation of Isotopes in the Water Cycle), the same knowledge about snow is more limited due to the influences of different isotope fractionation processes and lack of onsite snow accumulation and melt observation (Cooper, 1998; Michelon et al., 2018). The aim of this thesis was therefore to analyse and characterize the spatial variability of <span class="math-tex">\(\delta\)</span>2H, <span class="math-tex">\(\delta\)</span>18O and <span class="math-tex">\(\delta\)</span>17O in freshly fallen snow. This was done by sampling fresh snow on six different snowfall events in the month of March over an elevation gradient of 1000m along the southside slope of the mountain Chruez. 2H throughout four sampling days had <span class="math-tex">\(\delta\)</span>-values ranging from −50‰ to −70‰, with two days being more depleted in 2H, showing <span class="math-tex">\(\delta\)</span>-values from −80‰ down to −160‰. <span class="math-tex">\(\delta\)</span>18O showed the same pattern where of six, four days showed similar -values ranging from −8‰ to −12‰ and two days with a stronger depletion of the isotope with <span class="math-tex">\(\delta\)</span>-values ranging from −14‰ to −20‰. It is known that the enrichment of <span class="math-tex">\(\delta\)</span>17O in a water molecule is about half of <span class="math-tex">\(\delta\)</span>18O, which was also seen in the results of this thesis (Nyamgerel et.al, 2021).</p> <p>In this thesis, two out of six sampling days were examined with statistically significant positive altitude gradients of 0.19‰/100m and 0.64‰/100m for <span class="math-tex">\(\delta\)</span>18O. Additionally, on one of the six sampling days, a statistically significant negative altitude gradient of −0.15‰/100m was observed. The altitude gradients for <span class="math-tex">\(\delta\)</span>17O were about half of <span class="math-tex">\(\delta\)</span>18O. Two statistically significant positive and one negative altitude gradients for <span class="math-tex">\(\delta\)</span>2H were observed during the same days with lapse rates of 1.7‰/100m, 5.5‰/100m and −1.25‰/100m. Having both positive and negative altitude gradients was attributed to the varying amounts of solar radiation and wind direction during different sampling days. However, further research must be done in order to make a valid statement, since additional factors such as water vapor pressure, turbulent fluxes in the air and relative humidity strongly affect fractionation of stable water isotopes.</p> <p>The aim of this work is to characterize and analyze the elevation effect of water isotopologues in fresh snow at Vilan. By analyzing fresh snow, the influence of fractionation processes, after the precipitation event can be minimized and helps the understanding of snow-melt water transformation. For this purpose, a total of five fresh snow events in March and April 2021 were analyzed. Samples were taken from the eastern slope of Vilan between 1100 m a.s.l. and 2300 m a.s.l. and were collected at 100-meter elevation intervals. The altitude effect was determined with a linear regression. The analysis shows that the altitude has only a small effect on the d-values of the new snow, because for the <span class="math-tex">\(\delta\)</span>18O only one snow event shows a statistically significant altitude effect. For the <span class="math-tex">\(\delta\)</span>2H, it is their two. The statistically significant new snow events show an elevation gradient of + 0.155 ‰ <span class="math-tex">\(\delta\)</span>18O/100 m and + 1.211 ‰ <span class="math-tex">\(\delta\)</span>2H/100 m and + 0.677 ‰ <span class="math-tex">\(\delta\)</span>2H/100 m, respectively. The observed positive gradients can be explained by four effects. First, a lee effect is likely due to the prevailing weather conditions. Second, the top snow layer accumulates heavy isotopologues with increasing time (time effect). Third, an inverse height effect can be observed when water vapor of different origins mixes. Fourth, the amount of precipitation (quantity effect) can have an impact on isotopic composition. The work shows that further research in the analysis of water isotopes in fresh snow is necessary to better identify and quantify possible influencing parameters.</p> <p> </p> <p> </p>
Aircraft profiles of stable isotope ratios in atmospheric total and condensed water from the NASA ORACLES mission.
<p>Aircraft in-situ measurements of water concentration and heavy water isotope ratios D/H and 18O/16O of cloud water and total water (water vapor plus condensed water) were collected during the NASA ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) project. Aircraft sampling took place in the southeast Atlantic marine boundary layer and lower troposphere (equator to 22 degrees south) over the months of Sept. 2016, Aug. 2017, and Oct. 2018. Isotope measurements were made using cavity ring-down spectroscopic analyzers integrated into the Water Isotope System for Precipitation and Entrainment Research (WISPER). The WISPER data are processed into mean latitude-altitude curtains and individual vertical profiles for each sampling period.</p> <p> </p> <p>The WISPER data accompanied a suite of other variables including standard meteorological quantities (wind, temperature, moisture), trace gas and aerosol concentrations, radar, and lidar remote sensing, which can be accessed through the DOIs listed further down. The ORACLES campaigns are described by Redemann et al., (2021). The water isotope measurements are further described in Henze et al., (2021). The absolute error with respect to the SMOW-SLAP scale is explained in detail by Henze et al., (2021).</p> <p> </p> <p>Total water concentration and isotope ratios were binned and averaged onto latitude-altitude grids using a kernel estimation approach, with weighting designed to estimate the mean during the approximate month-long duration of each sampling period. Standard deviations for each bin are also computed using kernel density estimation.</p> <p> </p> <p>Time intervals during aircraft vertical profiling are isolated and averaged onto 50-meter vertical levels. The files include water concentration and isotope ratios for both total water and cloud water in addition to temperature, pressure, latitude, and longitude.</p> <p> </p> <p>See included file README.txt for additional details.</p> <p> </p> <p>References</p> <p>---------------</p> <p>Henze, D., Noone, D., and Toohey, D.: Aircraft measurements of water vapor heavy isotope ratios in the marine boundary layer and lower troposphere during ORACLES, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-238, in review, 2021.</p> <p> </p> <p>Redemann, J., Wood, R., Zuidema, P., Doherty, S. J., Luna, B., LeBlanc, S. E., Diamond, M. S., Shinozuka, Y., Chang, I. Y., Ueyama, R., Pfister, L., Ryoo, J.-M., Dobracki, A. N., da Silva, A. M., Longo, K. M., Kacenelenbogen, M. S., Flynn, C. J., Pistone, K., Knox, N. M., Piketh, S. J., Haywood, J. M., Formenti, P., Mallet, M., Stier, P., Ackerman, A. S., Bauer, S. E., Fridlind, A. M., Carmichael, G. R., Saide, P. E., Ferrada, G. A., Howell, S. G., Freitag, S., Cairns, B., Holben, B. N., Knobelspiesse, K. D., Tanelli, S., L'Ecuyer, T. S., Dzambo, A. M., Sy, O. O., McFarquhar, G. M., Poellot, M. R., Gupta, S., O'Brien, J. R., Nenes, A., Kacarab, M., Wong, J. P. S., Small-Griswold, J. D., Thornhill, K. L., Noone, D., Podolske, J. R., Schmidt, K. S., Pilewskie, P., Chen, H., Cochrane, S. P., Sedlacek, A. J., Lang, T. J., Stith, E., Segal-Rozenhaimer, M., Ferrare, R. A., Burton, S. P., Hostetler, C. A., Diner, D. J., Seidel, F. C., Platnick, S. E., Myers, J. S., Meyer, K. G., Spangenberg, D. A., Maring, H., and Gao, L.: An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol–cloud–radiation interactions in the southeast Atlantic basin, Atmos. Chem. Phys., 21, 1507–1563, https://doi.org/10.5194/acp-21-1507-2021, 2021.</p> <p> </p> <p>The complete archive of ORACLES data are accessible via the digital object identifiers (DOIs) provided under ORACLES Science Team references as follows:</p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2018, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/P3/2018_V3, 2020a. </p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2017, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/P3/2017_V3, 2020b. </p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2016, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/P3/2016_V3, 2020c. </p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard ER2 During ORACLES 2016, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/ER2/2016_V3, 2020d.</p>
Ensemble Refinement of Stable-5-LOX and AlphaFold2 predictions including variants
<p>Ensemble Refinement of Stable-5-LOX in "closed" (PDB code: 7TTK) and "open" (PDB code: 7TTJ) conformations. AlphaFold2 models of Stable-5-LOX and variants from the research article "Helical remodeling augments 5-lipoxygenase activity."</p>
Data accompanying the paper "Stable Numerical Implementation of a Turbulence Scheme with Two Prognostic Turbulence Energies".
<p>Data accompanying the paper <strong>"Stable Numerical Implementation of a Turbulence Scheme with Two Prognostic Turbulence Energies",</strong> submitted to Monthly Weather Review.</p> <p>This repository contains results from the idealized simulations of GABLS1 case,<br> obtained by the OpenIFS single column model version with the TOUCANS two-energy<br> turbulence scheme.</p> <p>Each simulation has its own folder, containing single NetCDF file 'progvar.nc'.<br> Experimental settings, explained in the paper, are following:</p> <pre><code>----------------------------------------------------------------- folder timestep delta beta beta_tau [s] [1] [1] [1] ----------------------------------------------------------------- GABLS1_2TE-R_dt001s_delta00_bt15/ 1 0.00 1.0 1.5 GABLS1_2TE-R_dt045s_delta00_bt15/ 45 0.00 1.0 1.5 GABLS1_2TE-R_dt090s_delta00_bt15/ 90 0.00 1.0 1.5 ----------------------------------------------------------------- GABLS1_2TE-R_dt090s_delta25_bt15/ 90 0.25 1.0 1.5 GABLS1_2TE-R_dt090s_delta25_bt10/ 90 0.25 1.0 1.0 GABLS1_2TE-R_dt180s_delta25_bt10/ 180 0.25 1.0 1.0 -----------------------------------------------------------------</code></pre> <p>Names of the NetCDF fields examined in the paper are:</p> <pre><code>tke - turbulence kinetic energy [J/kg] tte - turbulence total energy [J/kg] efb3 - turbulent heat flux [W/m^2] t - thermodynamic temperature [K] </code></pre> <p>They are all 2D fields, indexed by the timestep number and the model level.<br> Turbulent heat flux is given on the model half levels, remaining quantities<br> on the model full levels. Heights of the model levels are stored in the<br> NetCDF fields:</p> <pre><code>height_f - full level heights [m] height_h - half level heights [m] </code></pre> <p>Simulation time in seconds is stored in the NetCDF field 'time'.</p> <p><strong>CAUTION:</strong><br> Since the simulations were run with the prescribed forcings and only with<br> the turbulence scheme activated, some fields in NetCDF files are meaningless<br> (e.g. skin temperature).</p>
First-order visual interneurons distribute distinct contrast and luminance information across ON and OFF pathways to achieve stable behavior
<p>Source data of the paper Ketkar, Gür, Molina-Obando et al. 2022, eLife.<br> We analyzed the behavioral contribution and physiological response properties of first order interneurons L1, L2 and L3 in the <em>Drosophila melanogaster </em>visual system. Data are sorted by figures and comprise either behavioral measurements of flies walking on an air-cushioned ball while being shown visual stimuli, or <em>in vivo </em>two photon microscopy recordings of L1-L3 calcium responses. </p> <p>Please find all relevant information to use the data in the README file.<br> The code to analyze the data, either written in Matlab or Python, is found at <a href="https://github.com/silieslab/Ketkar-Gur-MolinaObando-etal2022">https://github.com/silieslab/Ketkar-Gur-MolinaObando-etal2022</a></p>
Data from: Condition-dependent immune function in a freshwater snail revealed by stable isotopes
<p>Data are saved as a tab-delimited text file (data.txt). Each row represents one snail individual.</p> <p> </p> <p>The file has the following columns:</p> <p>infection - trematode infection (0 = no, 1 = yes)</p> <p>PO_activity - PO-like activity of haemolymph</p> <p>antibacterial_activity - antibacterial activity of haemolymph</p> <p>shell_length - shell length (mm)</p> <p>faeces - amount of produced faeces (mg)</p> <p>d15N_faeces - δ<sup>15</sup>N value of faeces</p> <p>d13C_faeces - δ<sup>13</sup>C value of faeces</p> <p>C:N_faeces - C:N ration of faeces</p> <p>d15N_tissue - δ<sup>15</sup>N value of tissue</p> <p>d13C_tissue - δ<sup>13</sup>C value of tissue</p> <p>C:N_tissue - C:N ration of tissue</p>
Simulation for "Asymptotic Behavior for a Time-Inhomogeneous Stochastic Differential Equation Driven by an α-Stable Lévy Process"
<p>The code and the video are related to the article G.Mihai, and E. Luirard. « Asymptotic Behavior for a Time-Inhomogeneous Stochastic Differential Equation Driven by an α-Stable Lévy Process », available on http://arxiv.org/abs/2112.07287.</p>
Tree-ring stable isotopes suggest an increase in Asian monsoon rainfall at 4.2 ka BP
<p>A synthesis of stable oxygen isotope records from tree rings and speleothems does not support a significant hydroclimate transition in our study region around 4.2 ka, nor the notion that this rapid climate deterioration should be regarded as generalized climatic transition from the mid to late Holocene. </p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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