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564 results for “ABS”
FIGURE 12. Abs. chinensis fifth instar larva SEM. A, B, C in Studies on South-east Asian fireflies: Abscondita, a new genus with details of life history, flashing patterns and behaviour of Abs. chinensis (L.) and Abs. terminalis (Olivier) (Coleoptera: Lampyridae: Luciolinae)
FIGURE 12. Abs. chinensis fifth instar larva SEM. A, B, C head; D antenna; E apex apical maxillary palpomere; F apex galea and apex maxillary palpomere (to right). (A dorsal, anterior half of head only; B, anterior dorsal surface uppermost; C, D, E, F ventral; C anterior half of head only).
FIGURE 15 in Studies on South-east Asian fireflies: Abscondita, a new genus with details of life history, flashing patterns and behaviour of Abs. chinensis (L.) and Abs. terminalis (Olivier) (Coleoptera: Lampyridae: Luciolinae)
FIGURE 15. Abs. chinensis male produced various single flashes. Males controlled their flashes by manipulating relative intensity as increased-held-increased-held or decreased-held-decreased-held ways. D the most complex-manipulated flash with 10 times fluctuated intensity; C the least manipulated flash with only 1 time fluctuated intensity.
FIGURE 14 in Studies on South-east Asian fireflies: Abscondita, a new genus with details of life history, flashing patterns and behaviour of Abs. chinensis (L.) and Abs. terminalis (Olivier) (Coleoptera: Lampyridae: Luciolinae)
FIGURE 14. Luminescence of pupae and adults of Abs. chinensis (Scale bar = 5mm). A, B, C pupae, D adult. A three day old male ventral (F 4.5, exposure time 526 seconds, ISO 200); B three day old male lateral (F 4.5, exposure time 369.9 seconds, ISO 200); C three day old female ventral (F 7.1, exposure time 423 seconds, ISO 800); D Newly eclosed female within 3 hours (F 5.6, exposure time 92.1 seconds, ISO 1250).
Spin-split collinear antiferromagnets: a large-scale ab-initio study
<p>Data set associated with our work "Spin-split collinear antiferromagnets: a large-scale ab-initio study".</p> <p>It contains input files for ab-initio calculations for over sixty compounds, resulting band structures, as well as tools used to generate two-band models.</p>
Supplementary material 5 from: Reshetnikov AN, Zibrova MG, Ayaz D, Bhattarai S, Borodin OV, Borzée A, Brejcha J, Çiçek K, Dimaki M, Doronin IV, Drobenkov SM, Gichikhanova UA, Gladkova AY, Gordeev DA, Ioannidis Y, Ilyukh MP, Interesova EA, Jadhav TD, Karabanov DP, Khabibullin VF, Khabilov TK, Khan MMH, Kidov AA, Klimov AS, Kochetkov DN, Kolbintsev VG, Kuzmin SL, Lotiev KY, Louppova NE, Lvov VD, Lyapkov SM, Martynenko IM, Maslova IV, Masroor R, Mazanaeva LF, Milko DA, Milto KD, Mozaffari O, Nguyen TQ, Novitsky RV, Petrovskiy AB, Prelovskiy VA, Serbin VV, Shi H-t, Skalon NV, Struijk RPJH, Taniguchi M, Tarkhnishvili D, Tsurkan VF, Tyutenkov OY, Ushakov MV, Vekhov DA, Xiao F, Yakimov AV, Yakovleva TI, Yang P, Zeleev DF, Petrosyan VG (2023) Rarely naturalized, but widespread and even invasive: the paradox of a popular pet terrapin expansion in Eurasia. NeoBiota 81: 91-127. https://doi.org/10.3897/neobiota.81.90473
Correlation matrix for ecological and other parameters of the red-eared slider Trachemys scripta elegans in water bodies of Europe (a), West Asia (b) and East Asia (c)
Supplementary material 10 from: Reshetnikov AN, Zibrova MG, Ayaz D, Bhattarai S, Borodin OV, Borzée A, Brejcha J, Çiçek K, Dimaki M, Doronin IV, Drobenkov SM, Gichikhanova UA, Gladkova AY, Gordeev DA, Ioannidis Y, Ilyukh MP, Interesova EA, Jadhav TD, Karabanov DP, Khabibullin VF, Khabilov TK, Khan MMH, Kidov AA, Klimov AS, Kochetkov DN, Kolbintsev VG, Kuzmin SL, Lotiev KY, Louppova NE, Lvov VD, Lyapkov SM, Martynenko IM, Maslova IV, Masroor R, Mazanaeva LF, Milko DA, Milto KD, Mozaffari O, Nguyen TQ, Novitsky RV, Petrovskiy AB, Prelovskiy VA, Serbin VV, Shi H-t, Skalon NV, Struijk RPJH, Taniguchi M, Tarkhnishvili D, Tsurkan VF, Tyutenkov OY, Ushakov MV, Vekhov DA, Xiao F, Yakimov AV, Yakovleva TI, Yang P, Zeleev DF, Petrosyan VG (2023) Rarely naturalized, but widespread and even invasive: the paradox of a popular pet terrapin expansion in Eurasia. NeoBiota 81: 91-127. https://doi.org/10.3897/neobiota.81.90473
Additional list of 52 persons who kindly provided their observations of red-eared sliders in open water bodies of Eurasia
Supplementary material 7 from: Reshetnikov AN, Zibrova MG, Ayaz D, Bhattarai S, Borodin OV, Borzée A, Brejcha J, Çiçek K, Dimaki M, Doronin IV, Drobenkov SM, Gichikhanova UA, Gladkova AY, Gordeev DA, Ioannidis Y, Ilyukh MP, Interesova EA, Jadhav TD, Karabanov DP, Khabibullin VF, Khabilov TK, Khan MMH, Kidov AA, Klimov AS, Kochetkov DN, Kolbintsev VG, Kuzmin SL, Lotiev KY, Louppova NE, Lvov VD, Lyapkov SM, Martynenko IM, Maslova IV, Masroor R, Mazanaeva LF, Milko DA, Milto KD, Mozaffari O, Nguyen TQ, Novitsky RV, Petrovskiy AB, Prelovskiy VA, Serbin VV, Shi H-t, Skalon NV, Struijk RPJH, Taniguchi M, Tarkhnishvili D, Tsurkan VF, Tyutenkov OY, Ushakov MV, Vekhov DA, Xiao F, Yakimov AV, Yakovleva TI, Yang P, Zeleev DF, Petrosyan VG (2023) Rarely naturalized, but widespread and even invasive: the paradox of a popular pet terrapin expansion in Eurasia. NeoBiota 81: 91-127. https://doi.org/10.3897/neobiota.81.90473
Evaluation metrics for MaxEnt models made across a range of feature-class combinations and regularization multipliers
ABS spin
<p>Data and code for "Spin-filtered measurements of Andreev Bound States"</p> <p>van Driel, David; Wang, Guanzhong; Dvir, Tom</p> <p>This folder contains the raw data and code used to generate the plots for the paper <em>Spin-filtered measurements of Andreev Bound States</em> (arXiv: ??).</p> <p>To run the Jupyter notebook, install Anaconda and execute:</p> <pre><code>conda env create -f environment.yml</code></pre> <p>followed by:</p> <pre><code>conda activate spinABS</code></pre> <p>Finally,</p> <pre><code>jupyter notebook</code></pre> <p>to launch the notebook called 'zenodo_notebook.ipynb'.</p> <p>Raw data are stored in netCDF (.nc) format. The files are exported by the data acquisition package QCoDeS and can be read as an xarray Dataset.</p>
Ab initio Quantum Simulation of Strongly Correlated Materials with Quantum Embedding
<p>Raw data of paper "<em>Ab initio</em> Quantum Simulation of Strongly Correlated Materials with Quantum Embedding".</p>
Ab initio multiple spawning simulations for "Rehybridization dynamics into the pericyclic minimum of an electrocyclic reaction imaged in real-time"
<p>60 ICs a(0.82)-2SA-cas(6,4)-SCF/6-31G* using AIMS/uPBE0-D3 for 1st ps of alpha-terpinene photochemistry. 20 for each<br> conformer upon rotation around the isopropyl group. Each initial condition (IC) is saved in a<br> separate folder labeled after conformers m, p, t, and with the index number of the initial condition.<br> The folder contains the positions and amplitudes of all trajectory basis functions (TBF) arising from<br> the initial condition as well as information about their coupling. The TBF index 1 always refers to<br> the TBF launched in the Franck-Condon region of the excited state based on an initial condition<br> sampled from a ground state Wigner distribution. </p> <p>Description of the folders and subsequent files in each IC folder:</p> <p>Simulation_data <br> X-YYYY : X is the isomer and YYYY is the initial condition number<br> "Positions.x.xyz" : Files containing the geometries of each TBF in cartesian coordinates in Angstroms<br> at each time step. The "x" in the filename corresponds to the index of the TBF.<br> "Amp.x" : Files containing the TBF amplitudes for each timestep.<br> "Spawn.log" : File containing timing information about the spawning events.<br> "S.dat" : File containing coupling matrices between the TBFs for every time step.<br> "ext_x" : Folders containing extensions of TBFs on DFT level. Each folder contains a file<br> "coors.xyz" with cartesian coordinates in Angstroms at each time step. The<br> timestep size of the DFT trajectories is uniformly 0.5 femtoseconds. Only TBFs in<br> the groundstate are extended on DFT level. Therefore, there is no folder "ext_1".</p> <p>Simulation_Parameters : Parameters for FMS and TeraChem nonadiabatic dynamics <br> X-rotamer : x is isomer containing parameter files for all X rotamers<br> "c0.casscf" : Binary file with the alpha(0.82)-SA2-CAS(6,4)-SCF/6-31G* orbitals<br> "Geometry.dat" : Initial condition (position and momentum) to start the FMS/TeraChem nonadiabatic dynamics<br> "Control.dat" : Parameter file for running FMS<br> "misc_options" : Parameter file for running TeraChem <br> "DFT-tc.in" : TeraChem adiabatic dynamics on ground electronic state (ext_x)<br> </p>
Data and code for "Efficient calculation of the lattice thermal conductivity by atomistic simulations with ab-initio accuracy"
<p>This data set contains data and code related to the publication "Efficient calculation of the lattice thermal conductivity by atomistic simulations with ab-initio accuracy".</p>
plas abs dataset
<p>abs pla dataert</p>
Zr–O Ab Initio Training Data Created by Molecular Dynamics, Contour Exploration, and Dimer Searches
<p> These density functional theory calculations span a diverse set of structures in the Zr–O system which was used as machine-learned interatomic potential (MLIP) training data. This data set was used to benchmark different structural evolution methods (molecular dynamics, contour exploration, and dimer searches) for the quality and accuracy of MLIPs trained on them. The data is provided in the .traj format from ASE. Along with data set used in our publication, we provide a large set of extra unused data and a small Python script example for parsing the data set. The set contains 120,068 structures which contain a total of 3,154,158 atoms.</p> <p>For more details, please see our paper:<br> Michael J Waters and James M Rondinelli, <em>J. Phys.: Condens. Matter</em> <strong>34</strong> 385901(2022) (<a href="https://dx.doi.org/10.1088/1361-648X/ac7f73">https://dx.doi.org/10.1088/1361-648X/ac7f73</a>)</p>
Intervention to Preserve Beta-Cell Function in GAD Ab-Positive Diabetes
ClinicalTrials.gov study NCT00232375. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Equine-assisted Therapy for Therapy-resistant Adolescents With Autism Spectrum Disorders, a Replicated AB-design
ClinicalTrials.gov study NCT05200351. IPD Sharing: NO. Countries: 1. Publications: 2.
Randomized Study of ABC-14 Regimen Compared With "3+7" Standard Induction Therapy or AB-14 for ND AML
ClinicalTrials.gov study NCT06451861. IPD Sharing: NO. Countries: 1. Publications: 1.
Efficacy of Anti-CD20 Ab Associated With Anti-CD38 in the Childhood Multidrug Dependent and Resistant Nephrotic Syndrome
ClinicalTrials.gov study NCT05704400. IPD Sharing: YES. Countries: 1. Publications: 1.
Effect of eHealth on AB Use of Children With Acute, Uncomplicated URTIs
ClinicalTrials.gov study NCT06140446. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Digital Antimicrobial Stewardship Smartphone Application to Combat AMR: the AB-assistant
ClinicalTrials.gov study NCT03793946. IPD Sharing: YES. Countries: 4. Publications: 2.
This is a Multicentre International Study Evaluating CT-based IGABT With / Without Either TRUS During BT/Pre BT MR as Per IBS-GECESTRO-ABS Recommendations for Target contouring-as an Alternative to MR
ClinicalTrials.gov study NCT07249021. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
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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.