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1,140 results for “TOPS”
TOP-100 DOCKING POSES OF FDA APPROVED AND DRUGS IN CLINICAL INVESTIGATION AT SARS-CoV2 SPIKE/ACE2 INTERFACE
<p>7922 compounds were downloaded from NPC database (https://tripod.nih.gov/npc/). In order<br> to eliminate the non-specific binders, some criteria including molecular weight, between 100 to<br> 1000 g/mol; number of rotatable bonds, <100; number of atoms, between 10 and 100; number<br> of aliphatic and aromatic rings, <10; number of hydrogen-bond acceptor and donors, <10 were<br> set and as a result the total number of compounds was decreased to 6654. These ligands were<br> prepared using LigPrep module of Maestro at neutral pH (LigPrep, Schrodinger v.2017). In<br> molecular docking, we used following protein structure: Spike Protein/ACE-2, (PDB, 6M0J). The protein<br> was prepared using Protein Preparation module of Maestro. PROPKA was used for<br> determination of protonation states of amino acid residues. Restrained minimization was<br> performed with OPLS3 force field for the protein using 0.3 Å heavy atom convergence.<br> Docking was performed with Glide/SP using default settings. Top-100 docking poses were provided.</p>
Sealing. Circular sealing in terracotta with a trident; one line inscription below; ridge at the top.
<p>Sealing. Circular sealing in terracotta with a trident; one line inscription below; ridge at the top. British Museum 2005,0814.21.</p>
Top-down and bottom-up vegetal and animal product metabolic profiles for 29 european countries (EU27 + United Kingdom + Norway).
<p>This repository contains the data needed to reproduce the results in:</p> <p>Cadillo-Benalcazar, J.; Renner, A. Giampietro, M. (2020). A multiscale integrated analysis of the factors characterizing the sustainability of food systems in Europe. Journal of Environmental Management. Volume 271, 1 October 2020, 110944. <a href="https://doi.org/10.1016/j.jenvman.2020.110944">https://doi.org/10.1016/j.jenvman.2020.110944</a></p> <p>Renner, A.; Cadillo-Benalcazar, J.; Benini, L., Giampietro, M. (2020). Environmental pressure of the European agricultural system: Anticipating the biophysical consequences of internalization. Ecosystem services. Special Issue: Agro-futures. Volume 46, December 2020, 101195. <a href="https://doi.org/10.1016/j.ecoser.2020.101195">https://doi.org/10.1016/j.ecoser.2020.101195</a></p>
Top topics from word2vec run of EFSA outputs
<p>List of neural word embeddings extracted from EFSAs outputs and their closest neighbours, which have a distance < 0.3 to the original word.</p> <p>These group of words form a congruent groups which for a human seems to represent a topic.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Sausage Instabilities on Top of Kinking Lengthening Current-Carrying Magnetic Flux Tubes - Data underlying figures 3 & 4
<p><strong>Background</strong></p> <p>This is the code used in the analysis and to generate all plots of the paper "Sausage Instabilities on Top of Kinking Lengthening Current-Carrying Magnetic Flux Tubes".</p> <p>Flux tube experiments can be classified by the flux tube’s evolution in a configuration space described by a normalized inverse aspect-ratio k̄ and current-to-magnetic flux ratio λ̄. A lengthening current-carrying magnetic flux tube traverses this k̄ - λ̄ space and crosses stability boundaries. We derive a single general criterion for the onset of the sausage and kink instabilities in idealized magnetic flux tubes with core and skin currents. The criterion indicates a dependence of the stability boundaries on current<br> profiles and shows overlapping kink and sausage unstable regions in the k̄ - λ̄ space with two free parameters. Numerical investigation of the stability criterion reduces the number of free parameters to a single one that describes the current profile, and confirms the overlapping sausage and kink unstable regions in k̄ - λ̄ space. A lengthening, ideal current-carrying magnetic flux tube can therefore become sausage unstable after it becomes kink unstable.</p> <p><strong>Accesing Data</strong></p> <p>This data set contains:</p> <ol> <li>SQL database: output.db</li> <li>Human readable database in JSON format: output.txt</li> <li>Data arrays: 3 dated .npz files</li> <li>Human readable data arrays: 8 .dat files.</li> </ol> <p>The database files list all parameters of a run of the analysis code. The date identifies the run. The SQL database can be inspected with e.g. Firefox's SQLite Manager extension. The contents of the human redable output.txt file are identical.</p> <p>The data arrays include the k̄ meshes and λ̄ meshes which define the coordiante system and arrays of normalized <span class="math-tex">\(\delta W\)</span> for kink and susage modes.</p> <p>Each .npz file contains arrays defining the k̄ - λ̄ space and the stability calculation results.</p> <p>Each .npz file is an array file generated with python numpy.savez(). It can be opened with:</p> <p><em>import numpy as np</em></p> <p><em>data = np.load('meshes.npz')</em></p> <p>The data is an python dictionary. The dictionary keys can be displayed with:</p> <p><em>print data.keys()</em></p> <p>The numpy arrays can be accessed by keyname:</p> <p><em>print data['keyname']</em></p> <p>The keys are:</p> <p><em>k_a_mesh</em>: 2D array of k̄ values.</p> <p><em>lambda_a_mesh</em>: 2D array of λ̄ values.</p> <p><em>d_w_raw_m_0</em>: 2D array of perturbed potential energy for m=0 sausage pertubations.</p> <p><em>d_w_raw_m_neg_1</em>: 2D array of perturbed potential energy for m=-1 kink pertubations.</p> <p><em>d_w_m_0</em>: 2D array of normalized perturbed potential energy for m=0 sausage pertubations.</p> <p><em>d_w_m_neg_1</em>: 2D array of normalized perturbed potential energy for m=-1 kink pertubations.</p> <p><em>delta_m_0</em>: 2D array of delta for m=0 sausage pertubations plugged into minimized perturbed potential energy equations to calculate dw values.</p> <p><em>delta_m_neg_1</em>: 2D array of delta for m=-1 kink pertubations plugged into minimized perturbed potential energy equations to calculate dw values.</p> <p><em>external_m_neg_1</em>: 2D bool array of stability against external m=-1 kink pertubations. X</p> <p><em>suydam_m_neg_1</em>: 2D bool array of stability against suydam instabilities. </p> <p><em>external_m_0</em>: 2D bool array of stability against external m=0 sausage pertubations. </p> <p><em>suydam_m_0</em>: 2D bool array of stability against suydam instabilities. Since m=0 has no singularties in the Euler-Lagrange equation this should be true everywhere. </p> <p> </p>
February 2017 Western Turkey Earthquake Swarm Sentinel-1 TOPS Differential Interferogram (20170131-20170212)
<p>In february 2017 a series of earthquakes affected the Biga Peninsula in Western Turkey. Over 350 buildings sustained extensive damage. The seismic events occurred at the intersection of the Kestanbol Fault and the Edremit Fault Zone. The Sentinel-1 TOPS co-seismic interferogram was generated with the ESA SNAP toolbox (http://step.esa.int/).</p> <p>S1A data were downloaded from the Sentinel-1 Scientific Data Hub: S1A_20170131-S1A_20170212 from ASCENDING orbit 131.</p> <p> </p>
A Collection of Novice Interactions with the OCaml Top-Level System
<p>See the included README.md for details on the file format.</p>
Data from: warming and top-down control of stage-structured prey: linking theory to patterns in natural systems
<p>Warming has broad and often nonlinear impacts on organismal physiology and traits, allowing it to impact species interactions like predation through a variety of pathways that may be difficult to predict. Predictions are commonly based on short-term experiments and models, and these studies often yield conflicting results depending on the environmental context, spatiotemporal scale, and the predator and prey species considered. Thus, the accuracy of predicted changes in interaction strength, and their importance to the broader ecosystems they take place in, remain unclear. Here, we attempted to link one such set of predictions generated using theory, modeling, and controlled experiments to patterns in the natural abundance of prey across a broad thermal gradient. To do so, we first predicted how warming will impact a stage-structured predator-prey interaction in riverine rock pools between Pantala spp. dragonfly nymph predators and Aedes atropalpus mosquito larval prey. We then described temperature variation across a set of hundreds of riverine rock pools (n = 775) and leveraged this natural gradient to look for evidence for or against our model's predictions. Our model's predictions suggested that warming should weaken predator control of mosquito larval prey by accelerating their development and shrinking the window of time that aquatic dragonfly nymphs could consume them in. This was consistent with data collected in rock pool ecosystems, where the negative effects of dragonfly nymph predators on mosquito larval abundance were weaker in warmer pools. Our findings provide additional evidence to substantiate our model-derived predictions, while emphasizing the importance of assessing similar predictions using natural gradients of temperature whenever possible.</p>
Behavior-relevant top-down cross-modal predictions in mouse neocortex
<p>Simultaneously recorded S1 and PPC neuronal population activity from awake mice during a texture discrimination task. Data acquired with two-photon calcium imaging.</p>
Top 10 most-played albums on Spotify for various European countries
<p>This dataset presents the Top 10 most listened-to albums on Spotify for five European countries: Spain, France, Italy, the United Kingdom, and Germany. The information has been compiled from data available on the website <a href="https://chartmasters.org/">https://chartmasters.org/</a>. The dataset, in CSV format, includes essential details such as the ranking position, album title, artist, and the total number of plays. Organized to provide an overview, the dataset offers insights into current musical preferences in various European regions, showcasing the most popular albums on the Spotify platform.</p>
Training and test data, plus saved models for the upcoming paper `Top-down perceptual inference shaping the activity of early visual cortex'
<p>Each .pkl file contains a training or test dataset in the form of a Python dictionary (generated with Python 3.8.5) with the following fields:</p><ul><li>'train_images': 640,000 float32 images used for model training. These are 40px images that contain 1600 pixel intensities each.</li><li>'train_labels': float32 labels for each image in 'train_images'. All natural images are labeled with 0.0. Texture images are labeled with 0.0, 1,0, 2.0, 3.0, or 4.0, according to their texture family.</li><li>'test_images': 64,000 float32 images used for model testing. These are 40px images that contain 1600 pixel intensities each.</li><li>'test_labels': float32 labels for each image in 'test_images'. All natural images are labeled with 0.0. Texture images are labeled with 0.0, 1,0, 2.0, 3.0, or 4.0, according to their texture family.</li></ul><p>The .zip file contains a saved model snapshot and various intermediate evaluative data. Details on these are coming soon.</p>
Going beyond Top EFT - Code and Data
<p>The file BeyondTopEFT.zip contains all the code and processed data for reproducing the results in the <a href="https://arxiv.org/abs/2312.00670">Beyond Top EFT paper</a>.</p><p>The raw data is provided as separate tarballs.</p><p>Additional instructions can be found in the README file contained in BeyondTopEFT.zip or in the <a href="https://github.com/andlessa/SMStoEFT">GitHub repository</a>.</p><p> </p>
Data from: Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches
<p> </p> <p> </p> <p><span>Acknowledgements.</span><span> </span><span>We would like to thank Martin Jung, Jakob A. Nelson, Sophia Walther, and the FLUXCOM team for their structural</span><br><span>support, feedback and discussion. The Authors would like to thank the producers of the Inversion data included in this study: Ingrid Luijkx</span><br><span>and Wouter Peters (CTE), Frederic Chevallier and the Copernicus Atmosphere Monitoring Service (CAMS), Christian Roedenbeck (Jena</span><br><span>Carboscope sEXTocNEET), Yosuke Niwa (NISMON-CO2), and Liang Feng and Paul Palmer (UoE). This research was funded by the</span><br><span>European Research Council (ERC) Synergy Grant ’Understanding and modeling the Earth System with Machine Learning (USMILE)’</span><br><span>under the Horizon 2020 research and innovation programme (Grant Agreement No. 855187)</span></p> <p><br><span>This work used eddy covariance data acquired by the FLUXNET community and in particular by the following networks: AmeriFlux</span><br><span>(U.S. Department of Energy, Biological and Environmental Research, Terrestrial Carbon Program (DE-FG02-04ER63917 and DE-FG02</span>-<br><span>04ER63911)), AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada (supported by CFCAS,</span><br><span>NSERC, BIOCAP, Environment Canada, and NRCan), GreenGrass, KoFlux, LBA, NECC, OzFlux, TCOS-Siberia, USCCC. We acknowl-</span><br><span>edge the financial support to the eddy covariance data harmonization provided by CarboEuropeIP, FAO-GTOS-TCO, iLEAPS, Max Planck</span><br><span>Institute for Biogeochemistry, National Science Foundation, University of Tuscia, Université Laval and Environment Canada and US Depart-</span><br><span>ment of Energy and the database development and technical support from Berkeley Water Center, Lawrence Berkeley National Laboratory,</span><br><span>Microsoft Research eScience, Oak Ridge National Laboratory, University of California - Berkeley, University of Virginia</span></p>
Data from: A new trophic specialization buffers a top predator against climate-driven resource instability
<p>Intraspecific phenotypic variability is key to respond to environmental changes and anomalies. However, documenting the emergence of behavioral diversification in natural populations has remained elusive due to the difficulty of observing such phenomenon at the right time and place. Here, we investigated how the emergence of a new trophic strategy in a population subjected to high fluctuations in the availability of its main trophic resource (migrating songbirds) affected the breeding performance, population structure, and population fitness of a specialized color polymorphic predator, the Eleonora's falcon from the Canary Islands. Using long-term data (2007-2022), we found that the exploitation of an alternative prey (a local petrel species) was associated with the growth of a previously residual falcon colony. Pairs in this colony laid earlier and raised more fledglings than in the other established colonies. The specialization on petreles increased over time, independently of annual fluctuations in prey availability. Importantly, however, the positive effect of petrel consumption on productivity was stronger in years with lower food availability. This trophic diversification was further associated with the genetically-determined color morph, with dark individuals preying more frequently on petreles than pale ones, which might promote the long-term maintenance of genotypic and phenotypic diversity. We empirically demonstrate how the emergence of an alternative trophic strategy can buffer populations against harsh environmental fluctuations by stabilizing their productivity.</p>
Data from: Seasonal diet partition among top predators of a small island, Iriomotejima island in the Ryukyu Archipelago, Japan
<p>In general, small islands lack predators because species at higher trophic levels often cannot survive. However, two predators—the Iriomote cat <em>Prionailurus bengalensis iriomotensis</em>, and the Crested Serpent Eagle<em> Spilornis cheela perplexus</em>—live on Iriomotejima Island in the Ryukyu Archipelago, which covers an area of approximately 284 square kilometers. To understand how these two top predators coexist on such a small island with limited resources, we focused on their seasonal feeding habits which are considered crucial for survival in such an island ecosystem. To compare the diets of the Iriomote cat and Crested Serpent Eagle, we used DNA metabarcoding analysis of their fecal samples. In the summer, we identified 16 prey items from Iriomote cat fecal samples, and 15 Crested Serpent Eagle fecal samples. In the winter, we identified 37 and 14 prey items, respectively. Using a non-metric multidimensional scaling (NMDS) and a permutational multivariate analysis of variance (PERMANOVA), our study reveals significant differences in the diet composition at the order level between the predators during both seasons. Furthermore, although some prey items at the species-to-order level overlapped between the two predators, the frequency of occurrence of most prey items differed between them in both seasons. These results suggest that this difference in diets was one of the reasons why the Iriomote cat and the Crested Serpent Eagle coexisted on such a small island.</p>
Text-fig. 10. Flowers and fruits. a: Pentamerous flower from top view, UAPC-ALTA S 67696. b, d: Part and counterpart of a flower with many stamens, type 1 UAPC-ALTA S 6560AB. c: Flower with many stamens, type 2, UAPC-ALTA S 26359. e: Small radially symmetric flower with pinnate venation in each sepal. UAPC-ALTA S 25356. f: Pteroheterochrosperma horseflyensis, UAPC-ALTA S 59494B. g, k: Fruit showing arched longitudinal ribs and and punctate surface, UAPC-ALTA S 26355A. h: Small flower UAPCALTA S 26360. i: Lagokarpos lacustris, UAPC-ALTA S 59498B. j: Lagokarpos lacustris, RBCM.EH2009.023.0003. Scale bars: a–d, g, h = 0.5 cm; e, f, k =0.2 cm; i, j = 1 cm. in The Early Eocene Flora Of Horsefly, British Columbia, Canada And Its Phytogeographic Significance
Text-fig. 10. Flowers and fruits. a: Pentamerous flower from top view, UAPC-ALTA S 67696. b, d: Part and counterpart of a flower with many stamens, type 1 UAPC-ALTA S 6560AB. c: Flower with many stamens, type 2, UAPC-ALTA S 26359. e: Small radially symmetric flower with pinnate venation in each sepal. UAPC-ALTA S 25356. f: Pteroheterochrosperma horseflyensis, UAPC-ALTA S 59494B. g, k: Fruit showing arched longitudinal ribs and and punctate surface, UAPC-ALTA S 26355A. h: Small flower UAPCALTA S 26360. i: Lagokarpos lacustris, UAPC-ALTA S 59498B. j: Lagokarpos lacustris, RBCM.EH2009.023.0003. Scale bars: a–d, g, h = 0.5 cm; e, f, k =0.2 cm; i, j = 1 cm.
Top view of DR1/DR2 double riffle, each section contains a spawning ground made up of eight gravel-filled trays, a rest area. The "double riffle" was designed to accommodate two groups from 25 to 50 specimens of broodstock in strictly identical conditions. The spawning grounds are equipped with waterproof, motion-sensing cameras with infrared night vision, connected to a 1000 Gb recorder. The diurnal and nocturnal activities of the two groups can therefore be simultaneously recorded over a long period. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Top view of DR1/DR2 double riffle, each section contains a spawning ground made up of eight gravel-filled trays, a rest area. The "double riffle" was designed to accommodate two groups from 25 to 50 specimens of broodstock in strictly identical conditions. The spawning grounds are equipped with waterproof, motion-sensing cameras with infrared night vision, connected to a 1000 Gb recorder. The diurnal and nocturnal activities of the two groups can therefore be simultaneously recorded over a long period.
Operating diagram of the incubator, two tiered modules contain six independent incubators. Three shallow hatching are (220 × 60 × 17 cm) stacked on top of each other to create a compact assembly in which each tier functions independently. Eighteen trays covered with eggs can be placed in each tier, allowing the simultaneous incubation of seven to nine lays. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Operating diagram of the incubator, two tiered modules contain six independent incubators. Three shallow hatching are (220 × 60 × 17 cm) stacked on top of each other to create a compact assembly in which each tier functions independently. Eighteen trays covered with eggs can be placed in each tier, allowing the simultaneous incubation of seven to nine lays.
Figure 1 in The nematode fauna from the top soil to the vadose zone in a forested groundwater recharge area
Figure 1. Population density of nematodes (ind./10 g DW soil ± SD) at Hintere Stellimatten (HST) and Verbindungsweg (VW). The decline in density was significant at both sites (Kruskall-Wallis rank sum test), but showed no significant differences after Dunn's post hoc test.
Opening minds, opening doors: measuring open access friendliness of the top five pharmacy institutes (NIRF- 2023)
Open the record for dataset details and reuse information.
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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)
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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.