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1,150 results for “NA”
Ooh Na Na
<p>This is a gzipped three-column TSV file that has 138,749,325 prefixes, identifiers, and names for lots of biomedical entities, drawing from the OBO Foundry, ontologies in the Ontology Lookup Service, and many other nomenclature consortia that just haven't made it to the prime-time of standardized goodness. Ultimately, this dataset helps answer the question: what's my name?</p> <p>It's really a lot of work to get this stuff, so I tried to make it easy. It was generated with the following code in the shell:</p> <pre>pip install pyobo obo database names</pre> <p>More information on how and why this resource was made is available at <a href="https://cthoyt.com/2020/04/18/ooh-na-na.html">https://cthoyt.com/2020/04/18/ooh-na-na.html</a>.</p>
Na 'alalhi na maku
<p><strong>Los animales de la casa en el idioma Xinka (Gua), elaborado por el Consejo Coordinador del pueblo Xinka junto con Cooperativa el Recuerdo.</strong></p>
Na 'alalhi na maku
<p><strong>Los animales de la casa en el idioma Xinka (Gua), elaborado por el Consejo Coordinador del pueblo Xinka junto con Cooperativa el Recuerdo.</strong></p>
Molecular dynamics simulation trajectory of an anionic lipid bilayer: 100 mol% DOPS with Na+ counterions using ff99 Ions
<p><strong>System: </strong>Symmetric bilayer of anionic DOPS (1,2-Dioleoyl-<em>sn</em>-glycero-3-phosphoserine 100 mol-%) lipids with sodium (Na<sup>+</sup>) counter ions.</p> <p><strong>Number of DOPS:</strong> 128.<br> <strong>Number of Na<sup>+</sup>-ions:</strong> 128.<br> <strong>Number of waters:</strong> 4480.</p> <p><strong>Lipid model:</strong> Amber Lipid 17 [IR Gould, AA Skjevik, CJ Dickson, BD Madej, RC Walker: "Lipid17: A Comprehensive AMBER Force Field for the Simulation of Zwitterionic and Anionic Lipids" in prep. (2018)].</p> <p><strong>Ion models: </strong> Amber ff99 [J Åqvist <em>J. Phys. Chem.</em> <strong>94</strong> 8021 (1990)].</p> <p><strong>Water model:</strong> TIP3P [WL Jorgensen, J Chandrasekhar, JD Madura, RW Impey, ML Klein <em>J. Chem. Phys.</em> <strong>79</strong> 926 (1983)].</p> <p><strong>Simulation engine:</strong> Amber16 [DA Case et al. <em>AMBER 2017</em> UCSF (2017)].</p> <p><strong>Number of independent repeats per setup: </strong>2.<br> <strong>Trajectory lengths per repeat:</strong> 400 ns + 100 ns.<br> <strong>Previously equilibrated for:</strong> 100 ns.<br> <strong>Sampling rate:</strong> every 10 ps.</p> <p><strong>Time integration step:</strong> 2 fs.</p> <p><strong>Thermodynamic ensemble:</strong> NpT. <br> <strong>Temperature coupling:</strong> 'Langevin' at T = 303 K.<br> <strong>Pressure coupling: '</strong>Berendsen' [<em>J. Chem. Phys.</em> <strong>81</strong> 3684 (1984); <em>J. Chem. Phys.</em> <strong>103</strong> 10252 (1995)] with xy and z coupled separately at p = 1.0 bar with no surface tension.</p> <p><strong>Electrostatics: </strong>PME [<em>J. Chem. Phys.</em> <strong>98</strong> 10089 (1993);<em> J. Chem. Theory Comput.</em> <strong>9</strong> 3878 (2013)].<br> <strong>Van der Waals:</strong> Turned off between 1.0 nm and 1.5 nm.</p> <p><strong>Constraints: </strong>Lengths of covalent bonds involving Hydrogens in lipids using SHAKE [<em>J. Comput. Phys.</em> <strong>23</strong> 327 (1977)], in water using SETTLE [<em>J. Comput. Chem. </em><strong>13</strong> 952 (1992)].</p> <p><strong>Used in publications: </strong>OHS Ollila et al. "NMRlipids IV: Headgroup & glycerol backbone structures, and cation binding in bilayers with PS lipids" in prep (2018).</p>
Molecular dynamics simulation trajectory of an anionic lipid bilayer: 100 mol% POPS with Na+ counterions using Joung-Cheatham Ions
<p><strong>System:</strong> Symmetric bilayer of anionic POPS (palmitoyl-oleoyl-phosphatidylserine 100 mol-%) lipids with sodium (Na<sup>+</sup>) counter ions.</p> <p><strong>Number of POPS:</strong> 128.<br> <strong>Number of Na<sup>+</sup>-ions:</strong> 128.<br> <strong>Number of waters:</strong> 4480.</p> <p><strong>Lipid model:</strong> Amber Lipid 17 [IR Gould, AA Skjevik, CJ Dickson, BD Madej, RC Walker: "Lipid17: A Comprehensive AMBER Force Field for the Simulation of Zwitterionic and Anionic Lipids" in prep. (2018)].</p> <p><strong>Ion model:</strong> Joung–Cheatham [IS Joung, TE Cheatham III <em>J. Phys. Chem. B</em> <strong>112</strong> 9020 (2008)].</p> <p><strong>Water model:</strong> TIP3P [WL Jorgensen, J Chandrasekhar, JD Madura, RW Impey, ML Klein <em>J. Chem. Phys.</em> <strong>79</strong> 926 (1983)].</p> <p><strong>Simulation engine:</strong> Amber16 [DA Case et al. <em>AMBER 2017</em> UCSF (2017)].</p> <p><strong>Number of independent repeats per setup:</strong> 2.<br> <strong>Trajectory lengths per repeat:</strong> 400 ns + 100 ns.<br> <strong>Previously equilibrated for:</strong> 100 ns.<br> <strong>Sampling rate:</strong> every 10 ps.</p> <p><strong>Time integration step:</strong> 2 fs.</p> <p><strong>Thermodynamic ensemble:</strong> NpT. <br> <strong>Temperature coupling:</strong> 'Langevin' at T = 298 K.<br> <strong>Pressure coupling:</strong> 'Berendsen' [<em>J. Chem. Phys.</em> <strong>81</strong> 3684 (1984); <em>J. Chem. Phys</em>. <strong>103</strong> 10252 (1995)] with <em>xy</em> and <em>z</em> coupled separately at p = 1.0 bar with no surface tension.</p> <p><strong>Electrostatics:</strong> PME [<em>J. Chem. Phys.</em> <strong>98</strong> 10089 (1993); <em>J. Chem. Theory Comput. </em><strong>9</strong> 3878 (2013)].<br> <strong>Van der Waals:</strong> Turned off between 1.0 nm and 1.5 nm.</p> <p><strong>Constraints:</strong> Lengths of covalent bonds involving Hydrogens in lipids using SHAKE [<em>J. Comput. Phys.</em> <strong>23</strong> 327 (1977)], in water using SETTLE [<em>J. Comput. Chem.</em> <strong>13</strong> 952 (1992)].</p> <p><strong>Used in publications:</strong> OHS Ollila et al. "NMRlipids IV: Headgroup & glycerol backbone structures, and cation binding in bilayers with PS lipids" in prep (2018).</p>
Práticas de Ciência Aberta em Periódicos Científicos Eletrônicos: Análise da Produção Científica Indexada na LENS, REDALYC e LISTA
<p><em>Dataset </em>relacionado com o artigo "Práticas de Ciência Aberta em Periódicos Científicos Eletrônicos: Análise da Produção Científica Indexada na LENS, REDALYC e LISTA". A pesquisa teve como o bjetivo analisar a produção científica indexada nas bases de dados científicos LENS, REDALYC e <em>Library, Information Science and Technology Abstracts</em> (LISTA), sobre práticas de ciência aberta em periódicos científicos. Trata-se de um estudo descritivo e documental, realizado em três fases: (1) a coleta da produção científica indexada nas referidas bases de dados científicas, seguindo a estratégia de busca com operadores booleanos, mediante a combinação dos termos "<em>open science practices</em>" AND <em>journals</em>; (2) formação do <em>corpus</em>, utilizando critérios específicos de inclusão e exclusão; (3) análise do <em>corpus</em>, quanto ao objetivo do artigo, método utilizado, resultados, práticas de ciência aberta mencionadas e revista científica em que foi publicado o artigo. Como resultado, observou-se que a maior parte dos artigos analisados apresentou pesquisa com foco na ciência aberta, acesso aberto e dados abertos. A prática de ciência aberta mais mencionada é o acesso aberto e a <em>Scientometrics</em> foi a revista que mais publicou sobre o assunto. Concluiu-se que mais estudos devem ser feitos, no sentido de se compreender a adoção de práticas de ciência aberta por periódicos científicos.</p> <p>O <em>Dataset</em> corresponde ao <em>corpus</em> formado na segunda fase e analisado na terceira fase dessa pesquisa.</p>
Molecular dynamics simulation trajectory of an anionic lipid bilayer: 100 mol% POPS with Na+ counterions using ff99 ions
<p><strong>System: </strong>Symmetric bilayer of anionic POPS (palmitoyl-oleoyl-phosphatidylserine 100 mol-%) lipids with sodium (Na<sup>+</sup>) counter ions.</p> <p><strong>Number of POPS:</strong> 128.<br> <strong>Number of Na<sup>+</sup>-ions:</strong> 128.<br> <strong>Number of waters:</strong> 4480.</p> <p><strong>Lipid model:</strong> Amber Lipid 17 [IR Gould, AA Skjevik, CJ Dickson, BD Madej, RC Walker: "Lipid17: A Comprehensive AMBER Force Field for the Simulation of Zwitterionic and Anionic Lipids" in prep. (2018)].</p> <p><strong>Ion model:</strong> Amber ff99 [J Åqvist <em>J. Phys. Chem.</em> <strong>94</strong> 8021 (1990)].</p> <p><strong>Water model:</strong> TIP3P [WL Jorgensen, J Chandrasekhar, JD Madura, RW Impey, ML Klein <em>J. Chem. Phys.</em> <strong>79</strong> 926 (1983)].</p> <p><strong>Simulation engine:</strong> Amber16 [DA Case et al. <em>AMBER 2017</em> UCSF (2017)].</p> <p><strong>Number of independent repeats per setup: </strong>2.<br> <strong>Trajectory lengths per repeat:</strong> 400 ns + 100 ns.<br> <strong>Previously equilibrated for:</strong> 100 ns.<br> <strong>Sampling rate:</strong> every 10 ps.</p> <p><strong>Time integration step:</strong> 2 fs.</p> <p><strong>Thermodynamic ensemble:</strong> NpT. <br> <strong>Temperature coupling:</strong> 'Langevin' at T = 298 K.<br> <strong>Pressure coupling: '</strong>Berendsen' [<em>J. Chem. Phys.</em> <strong>81</strong> 3684 (1984); <em>J. Chem. Phys.</em> <strong>103</strong> 10252 (1995)] with xy and z coupled separately at p = 1.0 bar with no surface tension.</p> <p><strong>Electrostatics: </strong>PME [<em>J. Chem. Phys.</em> <strong>98</strong> 10089 (1993);<em> J. Chem. Theory Comput.</em> <strong>9</strong> 3878 (2013)].<br> <strong>Van der Waals:</strong> Turned off between 1.0 nm and 1.5 nm.</p> <p><strong>Constraints: </strong>Lengths of covalent bonds involving Hydrogens in lipids using SHAKE [<em>J. Comput. Phys.</em> <strong>23</strong> 327 (1977)], in water using SETTLE [<em>J. Comput. Chem. </em><strong>13</strong> 952 (1992)].</p> <p><strong>Used in publications: </strong>OHS Ollila et al. "NMRlipids IV: Headgroup & glycerol backbone structures, and cation binding in bilayers with PS lipids" in prep (2018).</p>
Molecular dynamics simulation trajectory of an anionic lipid bilayer: 100 mol% DOPS with Na+ counterions using Joung-Cheetham Ions
<p><strong>System: </strong>Symmetric bilayer of anionic DOPS (1,2-Dioleoyl-<em>sn</em>-glycero-3-phosphoserine 100 mol-%) lipids with sodium (Na<sup>+</sup>) counter ions.</p> <p><strong>Number of DOPS:</strong> 128.<br> <strong>Number of Na<sup>+</sup>-ions:</strong> 128.<br> <strong>Number of waters:</strong> 4480.</p> <p><strong>Lipid model:</strong> Amber Lipid 17 [IR Gould, AA Skjevik, CJ Dickson, BD Madej, RC Walker: "Lipid17: A Comprehensive AMBER Force Field for the Simulation of Zwitterionic and Anionic Lipids" in prep. (2018)].</p> <p><strong>Ion models: </strong>Joung–Cheatham [IS Joung, TE Cheatham III <em>J. Phys. Chem. B </em><strong>112</strong> 9020 (2008)].</p> <p><strong>Water model:</strong> TIP3P [WL Jorgensen, J Chandrasekhar, JD Madura, RW Impey, ML Klein <em>J. Chem. Phys.</em> <strong>79</strong> 926 (1983)].</p> <p><strong>Simulation engine:</strong> Amber16 [DA Case et al. <em>AMBER 2017</em> UCSF (2017)].</p> <p><strong>Number of independent repeats per setup: </strong>2.<br> <strong>Trajectory lengths per repeat:</strong> 400 ns + 100 ns.<br> <strong>Previously equilibrated for:</strong> 100 ns.<br> <strong>Sampling rate:</strong> every 10 ps.</p> <p><strong>Time integration step:</strong> 2 fs.</p> <p><strong>Thermodynamic ensemble:</strong> NpT. <br> <strong>Temperature coupling:</strong> 'Langevin' at T = 303 K.<br> <strong>Pressure coupling: '</strong>Berendsen' [<em>J. Chem. Phys.</em> <strong>81</strong> 3684 (1984); <em>J. Chem. Phys.</em> <strong>103</strong> 10252 (1995)] with xy and z coupled separately at p = 1.0 bar with no surface tension.</p> <p><strong>Electrostatics: </strong>PME [<em>J. Chem. Phys.</em> <strong>98</strong> 10089 (1993);<em> J. Chem. Theory Comput.</em> <strong>9</strong> 3878 (2013)].<br> <strong>Van der Waals:</strong> Turned off between 1.0 nm and 1.5 nm.</p> <p><strong>Constraints: </strong>Lengths of covalent bonds involving Hydrogens in lipids using SHAKE [<em>J. Comput. Phys.</em> <strong>23</strong> 327 (1977)], in water using SETTLE [<em>J. Comput. Chem. </em><strong>13</strong> 952 (1992)].</p> <p><strong>Used in publications: </strong>OHS Ollila et al. "NMRlipids IV: Headgroup & glycerol backbone structures, and cation binding in bilayers with PS lipids" in prep (2018).</p>
CLDF dataset derived from Hsiu's "Classification of Na-Meo" from 2015
<p>Cite the source of the dataset as:</p> <blockquote> <p>Hsiu, Andrew (2015): The classification of Na Meo, a Hmong-Mien language of Vietnam. Handout prepared for SEALS 25 (Chiang Mai, 2015/05/27-29).</p> </blockquote>
O "viaduto da controvérsia" em Tucupi: uma reflexão sobre responsabilidade e transparência na administração pública
<p>NUMAO, F. H.; SOUZA, J. V. L. O.; OLIVEIRA, L. S.; MENDES, L. H. P.; RIBEIRO, M. A. de J. O Viaduto da Controvérsia em Tucupi: Uma Reflexão sobre Responsabilidade e Transparência na Administração Pública. <strong>Revista Tecnológica de Administração</strong>, Rio de Janeiro, v. 1, n. 2, p. 209-220, 2024. https://doi.org/10.12660/reta.v1n2.2024.91569</p>
CINECA synthetic cohort NA Canada CHILD [CC-BY-NC-SA]
<p>The "CINECA synthetic cohort NA Canada CHILD" dataset is a synthetic dataset developed to provide insight into how data is structured for select common attributes in the <a href="https://childstudy.ca/">CHILD Cohort Study</a>, but not reveal any personal or identifiable information associated with cohort participants. Such synthetic datasets are valuable for software developers to be able to see specific examples of data for common attributes (i.e. a minimal metadata model of a selection of common variables usually present in cohorts). This dataset comprises 100 variables for 150 synthetic participants which have faked phenotypic data that reflects CHILD cohort data. In addition, there is genetic data based on the <a href="https://www.nature.com/articles/nature15393">1000 Genomes</a> project. This dataset was created within the context of the <a href="https://www.cineca-project.eu/">CINECA</a> project. More information about the creation of this dataset can be found in the included documentation. </p> <p><br> <em>Please note this preamble must be included with any distribution of this dataset: </em>This synthetic dataset (with cohort “participants” / ”subjects” marked with FAKE) has no identifiable data and cannot be used to make any inference about CHILD cohort data or results. The purpose of this dataset is to aid development of technical implementations for cohort data discovery, harmonization, access, and federated analysis. In support of FAIRness in data sharing, this dataset is made freely available under the Creative Commons Licence (CC-BY; <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">https://creativecommons.org/licenses/by-nc-sa/4.0/</a>). Please ensure this preamble is included with this dataset and that the CHILD project and the CINECA project (funding: EC H2020 grant 825775 and CIHR grant 404896) are acknowledged. If you have any questions about this dataset contact Fiona Brinkman at brinkman@sfu.ca or Erin Gill at egill@sfu.ca.</p> <p> </p> <p><strong>CINECA synthetic cohorts</strong></p> <ul> <li><a href="https://zenodo.org/record/4955933">CINECA synthetic cohort Africa H3ABioNet</a></li> <li><a href="https://zenodo.org/record/5082689">CINECA synthetic cohort Europe CH SIB</a></li> <li><a href="https://ega-archive.org/datasets/EGAD00001006673">CINECA synthetic cohort Europe UK1</a></li> </ul> <p> </p>
Dataset for publication "Cell design strategies for sodium-zinc chloride (Na-ZnCl2) batteries, and first demonstration of tubular cells with 38 Ah capacity"
<p><span lang="EN-US">stationary energy storage; ZEBRA battery; high-temperature metal chloride battery; molten-salt battery; molten sodium anode.</span></p> <p>Measured data to recreate Figures 1-8 in the above manuscript.</p>
Distribuição da fauna na Mata Atlântica
<p>Imagem com a distribuição provavél da fauna no bioma da Mata Atlântica </p>
Formation and cycling data for Na-ion batteries from high-throughput synthesis, coating, and assembly
<p>Formation and cycling data from a combinatorial/high-throughput upscaling process for the production and characterization of sodium-ion batteries. The process involves batch synthesis, screen printing of electrodes, robotic cell assembly, and battery cycling. The goal of this study was to test how fast a new chemistry (to the group) could be introduced into the workflow and if we are able to enhance efficiency, accuracy, and reproducibility. The cathode material, Na0.9[Cu0.22Fe0.30Mn0.48]O2, was synthesized through a solid-state reaction (Na2CO3 (purity 99.5 %), CuO (purity 99.7 %), Fe2O3 (purity 99.9 %) and Mn2O3 (purity 98 %) at 850°C for 15h) in a pressed pellet (10 MPa) that was ground up again to make a slurry. The electrodes were prepared using screen printing, which offers simplicity, low cost, and quick coating of large areas in a reproducible manner. The binder was sodium carboxymethyl cellulose to make the electrodes water processable in air. The assembled batteries utilized the synthesized cathode material and hard carbon as the anode, with a glass fiber separator and a 1M NaPF6 EC:EMC 3:7 with 2 wt% FEC electrolyte.</p>
WERpapers Transparência na Gestão de Processos de Requisitos
<p>Artigos do WERpapers selecionados pela proximidade com o tema "transparência na gestão de processos de requisitos" O arquivo contém o título e o comentário sobre a proximidade (sim, sim talvez, não talvez, não).</p>
Dataset for publication "Influence of precursor morphology and cathode processing on performance and cycle life of sodium-zinc chloride (Na-ZnCl2) battery cells"
<p>High-temperature sodium-metal battery; sodium-metal halide battery (ZEBRA); molten-salt battery; zinc battery for stationary energy storage; alkali metal anode.</p> <p>Datasets used in the above manuscript. </p>
Dados brutos: "Competência em informação: padrões do tempo de aceite de artigos indexados na BRAPCI"
<p>Esse conjunto de dados sustenta os resultados e as conclusões do estudo: LIMA, Luis Fernando Maia; DE LUCCA, Djuli Machado; LEITE, Cassiane Macedo. Competência em informação: padrões do tempo de aceite de artigos indexados na BRAPCI. Encontros Bibli, Florianópolis, v. 28, e. 94373, 2023. Disponível em: https://doi.org/10.5007/1518-2924.2023.e94373. Acesso em: 03 out. 2023. </p> <p>Resumo do artigo: Objetiva analisar aspectos relacionados ao tempo de aceite dos artigos brasileiros que contemplam a competência em informação indexados na base BRAPCI, indicando evolução temporal, padrões medianos de tempo de aceite, periódicos e a relação entre tempos de aceite e qualidade dos periódicos. Trata-se de análise estatística relacionada ao período entre a submissão e aprovação de artigos científicos originais brasileiros indexados na base BRAPCI entre os anos de 2000 a 2019, a partir de estratégia de busca que contempla os termos ‘competência em informação’ e seus sinônimos na literatura científica em Ciência da Informação. Foram úteis para a investigação um conjunto de 177 artigos publicados entre 2004 e 2019, sendo a maioria deles com tempo de aceite aceitável e esperado, conforme parâmetros levantados na literatura. Há, ainda, uniformidade da distribuição anual dos tempos de aceite entre os anos de 2014 e 2018. Os resultados evidenciam que não há relação entre a qualidade do periódico e tempos mais curtos de aceite. É possível observar, pelo menos a partir dos resultados levantados nesta investigação, que o tempo de aceite é um elemento favorável no processo de comunicação científica da temática de competência em informação no Brasil e pode, como consequência, constituir-se como um fator contribuidor para o desenvolvimento da temática em âmbito social, na ocasião em que os resultados das investigações são celeremente divulgados à sociedade. <strong>PALAVRAS-CHAVE:</strong> Tempo de aceite; Comunicação Científica; Competência em informação; Produção científica.</p>
Supplementary files for "Effect of Alkali and Trivalent Metal Ions on the High-Pressure Phase Transition of [C2H5NH3]MI0.5MIII0.5(HCOO)3 (MI=Na, K and MIII=Cr, Al) Heterometallic Perovskites"
<p>DFT optimised structures and phonon data of [C<sub>2</sub>H<sub>5</sub>NH<sub>3</sub>] (ethylamonium, EtA) based formate perovskites EtANaCr, EtANaAl and EtAKCr. The zip-files Phonons-XXX contain the calculated force constants, the frequencies at the gamma point, the calculated density of states and the thermal properties.</p>
Vidas perdidas na estrada: sobre o atropelamento de fauna no Brasil
<p>O curta-metragem trata do atropelamento de fauna no Brasil e suas implicações. Produto vinculado ao Projeto de Extensão Fauna Brasil - UFF / MCV /Faculdade de Veterinária / Universidade Federal Fluminense. </p>
Vertical Wind and Temperature Gravity Wave Perturbations Derived from Na Lidar Observations
<p>The gravity wave perturbations associated with vertical wind and temperature in the mesopause region for heat flux calculations. </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.