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O bem-assessorado: o caso da cidade de Sucupira
<p>AMARAL, A. R.; SOUZA, A. J. I. de; OLIVEIRA, D. C. F.; ARAÚJO, H. T. O bem-assessorado: o caso da cidade de Sucupira. <strong>Revista Tecnológica de Administração</strong>, Rio de Janeiro, v. 1, n. 2, p. 185-195, 2024. https://doi.org/10.12660/reta.v1n2.2024.91570</p>
ChinaHighO₃: Hourly Seamless 1 km Ground-Level O₃ Dataset for China (2019)
<p>ChinaHighO<sub>3</sub> is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution.</p> <p>Here is the big data-derived seamless (spatial coverage = 100%) hourly 1 km (i.e., H1K) O<sub>3</sub> dataset for China for the year<strong> 2019</strong>. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R<sup>2</sup>) of 0.89, a root-mean-square error (RMSE) of 16.35 µg m<sup>-3</sup>, and a mean absolute error (MAE) of 11.53 µg m<sup>-3</sup> on a daily basis.</p> <p>If you use the ChinaHighO<sub>3</sub> dataset in your scientific research, please cite the following reference (Cheng et al., RSE, 2025):</p> <ul> <li> <p>Cheng, F., Li, Z., Yang, Z., Li, R., Wang, D., Jia, A., Li, K., Zhao, B., Wang, S., Yin, D., Li, S., Xue, W., Cribb, M., and Wei, J. <a href="https://weijing-rs.github.io/publications/Cheng_et_al-RSE-2025.pdf" target="_blank" rel="noopener">First retrieval of 24-hourly 1-km-resolution gapless surface ozone (O<sub>3</sub>) from space in China using artificial intelligence: diurnal variations and implications for air quality and phytotoxicity</a>. <em>Remote Sensing of Environment</em>, 2025, 316, 114482. https://doi.org/10.1016/j.rse.2024.114482</p> </li> </ul> <p><strong>More CHAP datasets for different air pollutants are available at: </strong><a href="https://weijing-rs.github.io/product.html"><strong>https://weijing-rs.github.io/product.html</strong></a></p>
O Canto da SereIA: inovação ou ilusão tecnológica?
<p>CAMPAGNOLLI, J. N. L.; CARVALHO, L. L. de; ATHAYDE, C. C. de O.; FARIAS, F. D. C. de. O canto da SereIA: inovação ou ilusão tecnológica?. <strong>Revista Tecnológica de Administração</strong>, Rio de Janeiro, v. 1, n. 3, p. 283-290, 2024. Disponível em: https://periodicos.fgv.br/reta/article/view/91840</p>
O País das Maravilhas
<p>RABELO, J. P.; OLIVEIRA, R. R. de; MONTEIRO, I. A.; FERREIRA, P; A; de A.; SOUZA, R. V. de. O país das maravilhas. <strong>Revista Tecnológica de Administração</strong>, Rio de Janeiro, v. 1, n. 3, 2024. Disponível em: https://periodicos.fgv.br/reta/article/view/91839.</p>
Calculated O K-edge XAS Spectra of Niobium Oxide Phases using Bethe-Salpeter equation
<p>X-ray absorption spectra (XAS) were calculated for the oxygen K-edge for 20 different phases of Niobium oxides (NbO<sub>x</sub>) using the Bethe-Salpeter equation as implemented within the OCEAN code. Fifteen of the NbO<sub>x</sub> phases are amorphous, in which nine are stoichiometric Nb<sub>2</sub>O<sub>5</sub>, and slightly off-stoichiometric containing a variety of different defects. The other five structures are different crystalline phases (with spacegroup): NbO (Pm3m), NbO<sub>2</sub> (P4<sub>2</sub>/mnm), N-Nb<sub>2</sub>O<sub>5</sub> (C<sub>2</sub>/m), M-Nb<sub>2</sub>O<sub>5</sub> (I4/mmm), and B-Nb<sub>2</sub>O<sub>5</sub> (C<sub>2</sub>/c). The data is given in terms of four different folders: (1) VASP POSCARs for amorphous structures (called amorph_POSCARs), (2) VASP POSCARs for crystalline structures (called crystalline_nboxide_structures), (3) OCEAN outputs for amorphous structures (called amorph_U4), and (4) OCEAN outputs for crystalline structures (called cryst_U4). The 'amorph_U4' folder contains subfolders for each structure, and within each subfolder is a 'Results' folder containing the OCEAN input and output files, including individual XAS spectra for each individual oxygen atom in the structure. The organization of the 'cryst_U4' folder structure is the same as the 'amorph_U4' folder.</p> <p>To calculate the XAS spectra within the OCEAN code, we first performed DFT (using Quantum Espresso) with an energy cut-off of 92 Ryd., and a simplified Hubbard U of 4 eV was applied to the Nb <em>d</em> orbitals. The `O-high' and `Nb-sp' pseudopotentials from PseudoDojo were used. For the BSE, the electron orbitals were down-sampled onto real space grids chosen to match 1 grid point per 1 a.u., the k-point meshes were chosen to exceed 1 grid point per 0.16 a.u.<sup>-1</sup>, and the number of conduction bands was set to 0.126 times the unit cell volume (in a.u.<sup>3</sup>). <br> For the screening, electron orbitals were calculated on k-point meshes exceeding 1 grid point per 0.56 a.u.<sup>-1</sup>, and the number of conduction bands was set to 0.437 times the unit cell volume (in a.u.<sup>3</sup>).<br> A Lorentzian core-hole broadening of 0.07 eV was included, and additional Gaussian broadening of 0.5 eV was applied.</p>
O perfil discente de ingressantes nas graduações de Biblioteconomia no Brasil entre 2017 e 2021
<p>Foram coletados dados no sítio do Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep), a partir dos registros do Censo da Educação Superior, sobre o perfil das pessoas ingressantes cursos de Biblioteconomia brasileira, no período de 2017 a 2021. Estes dados foram organizados em uma única tabela para melhor visualização, bem como alterada a nomenclatura dos campos para melhor compreensão, mantendo o formato CSV para serem utilizados e reutilizados por qualquer software estatístico, livre ou proprietário. Este conjunto de dados permanecerá disponível na plataforma Zenodo a qual possui controle de versão e backup na própria plataforma.</p> <p>Data were collected at the site of the National Institute for Educational Studies and Research Anísio Teixeira (Inep), from the records of the Higher Education Census, on the profile of people entering the Brazilian Library Sciences, from 2017 to 2021. These data were Organized in a single table for better view, as well as the field nomenclature for better understanding, maintaining the CSV format to be used and reused by any statistical, free or owner software. This data set will remain available on the Zenodo platform which has version and backup control on the platform itself</p>
Processed proteomic and phosphoproteomic timeseries from Ostreococcus tauri, with Gene Ontology enrichment, from "A phospho-dawn of protein modification anticipates light onset in the picoeukaryote O. tauri"
<p>Diel regulation of protein levels and protein modification had been less studied than transcript rhythms. These data tables in .XLSX format report partial proteome (Table_S1) and phosphoproteome data (Table_S2), assayed using shotgun mass-spectrometry, from cultures of the alga <em>Ostreococcus tauri </em>under light-dark cycles, sampled at Zeitgeber times (ZT, hours) 0, 4, 8, 12, 16 and 20. 10% of quantified proteins but two-thirds of phosphoproteins were rhythmic. Gene Ontology enrichment analysis was applied to infer the functional enrichment of the proteins or phosphoproteins, grouped by their loadings in PCA analysis (Table_S3), by hierarchical clustering (Table_S4) or by the peak time of their rhythmic profile (Table_S5).Prompted by night-peaking and apparently dark-stable proteins, we also tested the proteome of cultures transferred to prolonged darkness for 24, 48, 72 or 96h (Table_S6), where the proteome changed less than under the diel cycle. The raw data are available from ProteomeXchange, with identifiers PXD001734, PXD001735 and PXD002909.</p>
Three-component modelling of O-rich AGB star winds I. Effects of drift using forsterite – dataset
<p>The data provided here include all parameter files, log files, and a set of the<br> binary output files that are the basis for the publication in A&A.</p> <p>The file 'file_listing.txt' contains a complete list of files and directories<br> in all gzipped tar files. Each individual gzipped tar file is formatted as<br> follows:</p> <p> Mm.m_Ll.ll_Ttttt.tar.gz</p> <p>where<br> m.m :: the assumed mass of the model, in solar masses<br> l.ll :: The assumed luminosity, in log10(solar luminosities)<br> tttt :: The effective temperature of the star, in Kelvin.</p> <p><br> The contents of the tar files vary according to the model, but here is the<br> general directory structure:</p> <p> nodr/ :: non-drift / PC models<br> drift/ :: drift models</p> <p> nodr/init<br> drift/init :: Initial model files created using John Connor.</p> <p><br> File suffixes are the following:</p> <p> .par :: Plain-text parameter file that contains all parameters that are<br> different from the respective default value in the model.<br> Consequently, to see what parameters were actually used, it is<br> necessary to look in the log file (see below).</p> <p> .bin :: Binary file that contains output of converged models. Each model is<br> stored in two versions, first the previous time step and then the<br> current time step (having access to the model code T-800, data of both<br> time steps are needed to restart model calculations at that time<br> step).</p> <p> The initial model file only contains one model; where the previous<br> time step data are the same as the current time step data.</p> <p> We provide a tool to read this file, see below.</p> <p> Note! These files can get pretty large and are therefore only<br> available for a smaller number of the models in the Zenodo dataset.<br> Please ask the corresponding author for the missing files is the<br> need should appear.</p> <p> .log :: Plain-text log file that shows the used model parameters and a number<br> of key properties for each converged model.<br> The encoding of this file is UTF-8.</p> <p> .inf :: Plain-text secondary log file that contains the header of the<br> [primary] log file as well as timing information.<br> The encoding of this file is UTF-8.</p> <p> .tpb :: Secondary binary file that contains a number of properties specified<br> at the outer boundary, typically for each consecutive time step.</p> <p> We provide a tool to read this file, see below.</p> <p> .lis :: Plain-text file with the iteration history. Unavailable here.</p> <p> .liv :: Plain-text file with values specified for a number of properties at<br> each gridpoint. Unavailable here.</p> <p> .inp :: Plain-text file that is used to launch a model; some are present.<br> This file is automatically generated by the tool that launches T-800<br> and is typically removed when T-800 launches. Unavailable here.</p> <p> .eps :: Encapsulated PostScript file created by John Connor when calculating<br> the initial model.</p> <p><br> Model evolution structure - file endings before the suffix:</p> <p> _rlx :: Files related to relaxing the T-800 calculations on the initial model<br> created by John Connor.</p> <p> _exp :: Files related to expanding the initially compact model to using the<br> full radial domain.</p> <p> _fix :: Files related to the intermediate stage where calculations are changed<br> from expansion to outflow.<br> <br> _out :: Files related to the outflow stage of the calculations; this is what<br> you want to look at to see the wind evolution. Results in the paper<br> are calculated using these data.</p> <p> Note! Some outflow stage calculations continue the evolution of the previous<br> set of files. The underlying reason for continued calculations is typically<br> that the calculated time interval is too short. Such files are typically<br> given the extension '_cont.lin_out', '_cont2.lin_out', etc.</p> <p><br> Stored data in the binary files:</p> <p> The binary files (suffix '.bin') contain the full radial structure in the<br> following 10 (PC models) or 11 (drift models) primary variables:</p> <p> mr: radius<br> mm: integrated [gas] mass<br> md: gas density<br> mu: gas velocity<br> me: internal energy<br> mj: radiative energy<br> mh: radiative flux<br> n0: dust moment, forsterite (Fo)<br> nm: number density of magnesium atoms<br> ns: number density of silicon atoms<br> v0: dust velocity, forsterite (only drift models)</p> <p> Other properties are derived from these primary variables using auxiliary code<br> that isn't part of this dataset.</p> <p><br> Load files:</p> <p> Two tools are provided here that can load the binary data files using the<br> Interactive Data Language (IDL):</p> <p> sc_load_bin (for files with the suffix '.bin'):</p> <p> Loads the full content of a T-800 binary file and returns a structure<br> with the data.</p> <p><br> sc_load_tpb (for files with the suffix '.tpb'):</p> <p> Loads the full content of a T-800 'tpb' binary file and returns a<br> structure with the data.</p> <p> Note! Due to the way models run on clusters, this file is sometimes<br> incomplete; this happens when the model code T-800 is stopped as the<br> cluster-specific walltime is reached. If this is the case, it is<br> necessary to use the binary file instead, where data are saved<br> typically every 20:th time step.</p> <p> Alternative tools for use with Python and Julia could be considered for<br> writing, but where not yet available when this dataset was made public.<br> Please contact the corresponding author for a current status on this issue.</p> <p> </p>
Optimized stationary points on the potential energy surface of the reaction of atomic oxygen O(3P) with acrylonitrile
<p>This Zip file contains the cartesian coordinates of optimized stationary points of the O(<sup>3</sup>P) + acrylonitrile potential energy surface (PES).</p> <p>The PES has been published in our article “A Computational Analysis of the Reaction of Atomic Oxygen O(<sup>3</sup>P) with Acrylonitrile”</p> <p>(<em>Lecture Notes in Computer Science</em> <strong>2021</strong>, 12958, 339-350), that can be found in https://doi.org/10.1007/978-3-030-87016-4_25 .</p> <p>All calculations have been performed with Gaussian 09, Revision D.01.</p> <p>All structures have been optimized at B3LYP/aug-cc-pVTZ level of theory.</p>
Fig. 14 in Two new species of Odontostilbe historically hidden under O. microcephala (Characiformes: Cheirodontinae)
Fig. 14. Box-plot graphics of Odontostilbe avanhandava, O. microcephala and O. weitzmani: lateral line series of scales (top); and branched rays of the anal fin (bottom).
Fig. 15 in Two new species of Odontostilbe historically hidden under O. microcephala (Characiformes: Cheirodontinae)
Fig. 15. Morphometric comparison of Odontostilbe microcephala and O. weitzmani. (a) Density plot with the overlap of the variable M17 (horizontal orbit diameter), that best discriminates the two species. (b) Scatterplot of the polar coordinates obtained for both species using variables M17 and M6 (orbit to dorsal-fin origin); the arrows show the vector of variables. (c) Bivariate randomization test, showing the individual (red point) with a higher probability of belonging to O. weitzmani among all included individuals identified as O. microcephala. (d) Bivariate randomization test, showing the individual (red point) with a higher probability of belonging to O. microcephala among all individuals identified as O. weitzmani.
Fig. 13 in Two new species of Odontostilbe historically hidden under O. microcephala (Characiformes: Cheirodontinae)
Fig. 13. Principal Components Analysis (PCA) between the species Odontostilbe avanhandava (red) O. microcephala (light blue) and O. weitzmani (black).
Fig. 6 in Two new species of Odontostilbe historically hidden under O. microcephala (Characiformes: Cheirodontinae)
Fig. 6. Southern South America showing the distribution of Odontostilbe avanhandava (green diamonds), O. microcephala (yellow squares) and O. weitzmani (red circle). Type localities represented by star of respective colors.
Fig. 5 in Two new species of Odontostilbe historically hidden under O. microcephala (Characiformes: Cheirodontinae)
Fig. 5. First gill arch of Odontostilbe weitzmani: (a) left side, lateral view, showing gill gland (arrow) on anteriormost portion of lower branch of MCP 20337 male. In detail (b) gill rakers near the junction of ceratobranchial and epibranchial, and (c) gill rakers on lower branch of gill arch. Scanning electron micrographs (SEM).
Figure 4 in Chromosomal separation of difficult species of Copris Geoffroy, 1762 and Onthophagus Latreille, 1802 (Coleoptera, Scarabaeidae), with discussion of O. massai Baraud as a British Pleistocene fossil
Figure 4. Elytral sculpture of Onthophagus fracticornis (a, b) and O. massai (c, d), to show the prominent presetal granules of the interstices in O. fracticornis (white-bordered black arrow) and the prominent perisetal punctures in O. massai (white arrow). a, modern, Šar Planina, Macedonia; b, Bronze Age, Wilsford, Wiltshire, England, age about 4000 years; c, modern, Parco dei Nebrodi, Sicily; d, Last Interglacial, Trafalgar Square, London, age about 120,000 years.
Figure 3 in Chromosomal separation of difficult species of Copris Geoffroy, 1762 and Onthophagus Latreille, 1802 (Coleoptera, Scarabaeidae), with discussion of O. massai Baraud as a British Pleistocene fossil
Figure 3. Mitotic chromosomes of Onthophagus fracticornis (a – l) and O. massai (m, n), arranged as karyotypes. a, c, e, g, i, k, m, plain, b, d, f, h, j, l, n, the same nuclei C-banded. a, b, Spain; c, d, England; e, f, Macedonia, Šar Planina; g, h, Macedonia, Mavrovo National Park, with one B-chromosome and autosome 5 heterozygous for a pericentric inversion; i, j, Czech Republic; k, l, Italy; m, n, Sicily, Piano Zucchi.
Figure 2 in Chromosomal separation of difficult species of Copris Geoffroy, 1762 and Onthophagus Latreille, 1802 (Coleoptera, Scarabaeidae), with discussion of O. massai Baraud as a British Pleistocene fossil
Figure 2. Mitotic chromosomes of Copris hispanus hispanus (a, b) and C. h. cavolinii (c, d) arranged as karyotypes. a, c, plain, b, d, the same nuclei C-banded.
Figures 78-79. Theridion spinitarse O. P in Notes on Mediterranean Theridiidae (Araneae) – II
Figures 78-79. Theridion spinitarse O. P.-Cambridge. Epigynum/vulva, ventral (78), dorsal view (79), drawn at same scale. Scale line: 0.10 mm.
Figs 15-17. O in Oosagitta gen. nov. from tropical Africa, with revision of two species and description of four new species (Coleoptera: Chrysomelidae, Galerucinae)
Figs 15-17. O. anningae sp. nov. 15. Habitus, semi-schematic dorsal view. 16. Basal four antennomeres of 2 ♂♂ and 2 ♀♀. 17. Median lobe. A. Dorsal. B. Detail: apex of endophallus. C. Lateral. Scale bars: 1 mm.
Hilbert-P\'{o}lya conjecture and Riemann hypothesis
<p>Since Hilbert-P\'{o}lya conjecture has been solved by the G-dynamics ${{\widehat{w}}^{\left( cl \right)}}$ as a Hermitian frequency operator, the Riemann hypothesis as a corollary of Hilbert-P\'{o}lya theorem is proven as well, then we have explicitly asserted the physical essence of Riemann hypothesis expressed by $$\zeta \left( \rho \right)=\zeta \left( \varrho/\hbar \right)=0$$ where the non-trivial zeros $\rho =1/2+\sqrt{-1}{{w}^{\left( q \right)}}$. Furthermore, we have geometrically proven Einstein tensor such that ${{G}_{ij}}=\zeta \left( \rho\right)=0$, and ${w}^{\left( q \right)}=R$ is the scalar curvature.</p>
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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
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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.