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2,288 results for “Periodical”
FIG. 6. — Couverture d in 1802-2018: 220 ans d'histoire des périodiques au Muséum 1802-2018: a 220-year history of the Muséum periodicals
FIG. 6. — Couverture d'un article de Naturae (Rascle et al. 2017), revue numérique en flux continu lancée en 2017 et distribuée sur http://sciencepress.mnhn.fr. Les articles sont maintenant dotés d'une couverture individuelle, adaptée à leur contenu. Les articles qui ne comportent pas de figures auront une couverture générique, annuelle/Cover of an article by Naturae (Rascle et al. 2017), a digital journal launched in 2017 and published in a continuous stream on http://sciencepress.mnhn.fr. The cover of each issue is now adapted to its content. Issues that do not have figures are assigned a generic cover image that changes anually.
FIG. 1 in 1802-2018: 220 ans d'histoire des périodiques au Muséum 1802-2018: a 220-year history of the Muséum periodicals
FIG. 1. — Frise chronologique des journaux scientifiques édités par le Muséum national d'Histoire naturelle depuis 1802. Les revues actuelles apparaissent
FIG. 5 in 1802-2018: 220 ans d'histoire des périodiques au Muséum 1802-2018: a 220-year history of the Muséum periodicals
FIG. 5. — Couvertures de deux numéros d'EJT édités exceptionnellement en version papier/Covers of two issues of EJT published exceptionally in paper version.
FIG. 8 in 1802-2018: 220 ans d'histoire des périodiques au Muséum 1802-2018: a 220-year history of the Muséum periodicals
FIG. 8. — Avec la sortie de son nouveau site web (2015), les publications du Muséum se dotent d'outils de diffusion actuels: A, B, pages Twitter (A) et Facebook (B) des publications; C, flux RSS du périodique Geodiversitas, affiché sur l'écran d'un smartphone; chaque nouvelle parution donne lieu à une alerte/With the launch of its new website (2015), the Science Press is equipped with dissemination tools currently used: A, B, Twitter (A) and Facebook (B) pages; C, RSS feed of the periodic Geodiversitas, displayed on the screen of a smartphone; an alert is sent for every new issue published.
FIG. 4. — Capture d in 1802-2018: 220 ans d'histoire des périodiques au Muséum 1802-2018: a 220-year history of the Muséum periodicals
FIG. 4. — Capture d'écran de la page d'accueil de l'European Journal of Taxonomy, ou EJT, au 11 janvier 2018/Screen shot of the home page of the European Journal of Taxonomy, or EJT, as of January 11, 2018.
Fig. 3 in First investigation on the diet of the eastern grass owl during the nesting period in Thailand
Fig. 3. Cladogram showing phylogenetic relationships of the sequenced mitochondrial DNA of three rodent prey species of the eastern grass owl.
Fig. 2 in Reproductive period, fecundity and histology of gonads of two cheirodontines (Ostariophysi: Characidae) with different reproductive strategies - insemination and external fertilization
Fig. 2. Scanning Electron Micrography of an oocyte of Compsura heterura from an ovary critical-point dried and crushed with a needle on a stub, showing the spermatozoa observed over an oocyte (a), and an amplified image of these spermatozoa (b).
Fig. 6 in Reproductive period, fecundity and histology of gonads of two cheirodontines (Ostariophysi: Characidae) with different reproductive strategies - insemination and external fertilization
Fig. 6. Distribution of the absolute frequencies of the standard lengths of females of Odontostilbe pequira in the first (September/October) and second (January/February) reproductive periods.
Fig. 1 in Reproductive period, fecundity and histology of gonads of two cheirodontines (Ostariophysi: Characidae) with different reproductive strategies - insemination and external fertilization
Fig. 1. Histology of ovaries of Compsura heterura at different stages of maturation: maturing (a, b), mature (c, d) and semispent (e, f). Black arrow - follicular cells, EZ and white arrow - spermatozoa, FV - post-ovulatory follicles, M - micropile, N - nucleus, NU - nucleolus, OR - early primary growth oocytes, PV - Previtellogenic oocytes, V - vitellogenic oocyte, ZR - radiate zone. Magnification 10x (a, e), 20x (b, c), 100x (d, f).
Fig. 3 in Reproductive period, fecundity and histology of gonads of two cheirodontines (Ostariophysi: Characidae) with different reproductive strategies - insemination and external fertilization
Fig. 3. Histology of testis of Compsura heterura (a, c, d) and Odontostilbe pequira (b) at different stages of maturation: immature (a), maturing (b, c, d) mature (e, f). Arrow - cell division, C - spermatocytes, C1 - primary spermatogonia, C2 - secondary spermatogonia, ET - spermatids, EZ - spermatozoa, G - spermatogonia. Magnification 40x (a, c), 100x (b, d), 20x (e, f).
Fig. 7 in Reproductive period, fecundity and histology of gonads of two cheirodontines (Ostariophysi: Characidae) with different reproductive strategies - insemination and external fertilization
Fig. 7. Relation between absolute fecundity and standard length of females of Compsura heterura (a), from rio Ceará- Mirim, RN, and of Odontostilbe pequira (b) from rio Ibicuí- Mirim, RS.
Consequences of the Last Glacial Period on the Genetic Diversity of Southeast Asians
<p>********* Observed data *********<br> The file ObsData.arp contains the sequences of the mtDNA hypervariable I region from 720 individuals belonging to 25 Southeast Asian populations used as input file to compute the summary statistics with Arlequin. For further details on the format and available Summary statistics see the manual of Arlequin. </p> <p>********* Input files for simulations *********<br> For each evolutionary scenario (NONE, LGP, LDD and LGP&LDD) find a folder (named after the scenario) containing the input files to perform 100 simulations. To run the simulations one should access the command line and execute: <br> ./ABCsampler abc_sensitivity.input<br> Input files for SPLATCHE3, Arlequin and ABCtoolbox are included (for further details on them see the manual of these software).</p> <p>********* Selection of the best-fitting evolutionary scenario *********<br> The R script (ModelSelection.R) can be used to select the evolutionary scenario that better fits the observed data, using the multinomial logistic regression method and the neural networks based method.<br> Firstly, one will need the summary statistics obtained from observed data (the file entitled ObsSS.txt). Then, one will need the files containing the output files of the simulations under each scenario, i.e., the genetic parameters used under each simulation and the computed summary statistics. Please, note that the output of the ABCtoolbox is a single file containing all this information, but we prefer to use a file with the summary statistics and another with the parameters. Here, we provide example files obtained from 100 simulations of each scenario:<br> - ssNONE.txt, the summary statistics computed from 100 simulations under the scenario NONE<br> - parNONE.txt, the genetic and demographic parameters per simulation under the scenario NONE<br> - ssLGP.txt, the summary statistics computed from 100 simulations under the scenario LGP<br> - parLGP.txt, the genetic and demographic parameters per simulation under the scenario LGP<br> - ssLDD.txt, the summary statistics computed from 100 simulations under the scenario LDD<br> - parLDD.txt, the genetic and demographic parameters per simulation under the scenario LDD<br> - ssLGP_LDD.txt, the summary statistics computed from 100 simulations under the scenario LGP&LDD<br> - parLGP_LDD.txt, the genetic and demographic parameters per simulation under the scenario LGP&LDD<br> To run the script the directory containing these files has to be specified in the script.</p> <p>For details see Csilléry, et al. (2012): "Approximate Bayesian computation (ABC) in R: a Vignette."</p> <p>********* Parameters estimation *********<br> The folder named ParametersEstimation contains all the input files to estimate the genetic and demographic parameters under the selected evolutionary scenario (LGP&LDD). Within the folder, one will find the summary statistics obtained under the selected scenario and the corresponding parameters (completeEstimator_LGP-LDD.txt), the summary statists from observed data (obs11SS.txt) and all the remaining input files to run ABCestimator (for further detail on these files see the manual of ABCtoolbox).</p>
Wave Parameters - Azores - Period 1996-2005 - MODEL: Wavewatch III - Global Driver: HadGEM
<p><strong>Wave Model:</strong></p> <ul> <li>WAVEWATCH_III - version number 5.16</li> </ul> <p><strong>Global driver: </strong></p> <p>HadGEM (Hadley Centre Global Environmental Model)</p> <p><strong>Variables:</strong></p> <ul> <li>Significant Wave Height</li> <li>Mean period, peak frequency</li> <li>Mean wave direction</li> <li>0.05° x 0.05° horizontal resolution - 3h time resolution</li> </ul> <p><strong>Region: </strong></p> <ul> <li>southernmost latitude = 36.6°</li> <li>northernmost latitude = 39.5°</li> <li>westernmost longitude = 330.5°</li> <li>easternmost longitude = 335.8°</li> </ul> <p><strong>360-day calendar</strong></p> <p><strong>NetCDF format</strong></p>
Wave Parameters - Azores - Period 1995-2004 - MODEL: Wavewatch III - Global Driver: ACCESS
<p><strong>Wave Model:</strong></p> <ul> <li>WAVEWATCH_III - version number 5.16</li> </ul> <p><strong>Global driver: </strong></p> <p>ACCESS (Australian Community Climate and Earth System Simulator)</p> <p><strong>Variables:</strong></p> <ul> <li>Significant Wave Height</li> <li>Mean period, peak frequency</li> <li>Mean wave direction</li> <li>0.05° x 0.05° horizontal resolution - 3h time resolution</li> </ul> <p><strong>Region: </strong></p> <ul> <li>southernmost latitude = 36.5°</li> <li>northernmost latitude = 39.5°</li> <li>westernmost longitude = 330.5°</li> <li>easternmost longitude = 335.8°</li> </ul> <p><strong>360-day calendar</strong></p> <p><strong>NetCDF format</strong></p>
Wave Parameters - North Atlantic Ocean - Period 2036-2045 - RCP8.5 - MODEL: Wavewatch III - Global Driver: HadGEM
<p><strong>Wave Model:</strong></p> <ul> <li>WAVEWATCH_III - version number 5.16</li> </ul> <p><strong>Global driver: </strong></p> <ul> <li>HadGEM (Hadley Centre Global Environmental Model)</li> </ul> <p><strong>Variables:</strong></p> <ul> <li>Significant Wave Height</li> <li>Mean period, peak frequency</li> <li>Mean wave direction</li> <li>0.25° x 0.25° horizontal resolution - 3h time resolution</li> </ul> <p><strong>Region: </strong></p> <ul> <li>southernmost latitude = 10.</li> <li>northernmost latitude = 42.</li> <li>westernmost longitude = -70.</li> <li>easternmost longitude = -5.</li> </ul> <p><strong>360-day calendar</strong></p> <p><strong>NetCDF format</strong></p>
Wave Parameters - North Atlantic Ocean - Period 2081-2099 - RCP8.5 - MODEL: Wavewatch III - Global Driver: HadGEM
<p><strong>Wave Model:</strong></p> <ul> <li>WAVEWATCH_III - version number 5.16</li> </ul> <p><strong>Global driver: </strong></p> <ul> <li>HadGEM (Hadley Centre Global Environmental Model)</li> </ul> <p><strong>Variables:</strong></p> <ul> <li>Significant Wave Height</li> <li>Mean period, peak frequency</li> <li>Mean wave direction</li> <li>0.25° x 0.25° horizontal resolution - 3h time resolution</li> </ul> <p><strong>Region: </strong></p> <ul> <li>southernmost latitude = 10°</li> <li>northernmost latitude = 42°</li> <li>westernmost longitude = -70°</li> <li>easternmost longitude = -5°</li> </ul> <p><strong>360-day calendar</strong></p> <p><strong>NetCDF format</strong></p>
Haemosporidian parasites and incubation period influence plumage coloration in tanagers (Passeriformes: Thraupidae)
<p><span>Birds are visually oriented and use their plumage coloration as an important signaling trait in social communication. Males and females may have different patterns of plumage coloration, a phenomenon known as sexual dichromatism. Because males tend to have more complex plumages, sexual dichromatism is usually attributed to female choice. However, plumage coloration is partly condition-dependent, therefore other selective pressures affecting individuals' success may also drive the evolution of this trait. Here we used tanagers to study the relationships between dichromatism and plumage coloration complexity with parasitism by haemosporidians, investment in reproduction, and life-history traits. We screened blood samples from 2849 birds belonging to 52 tanager species for detecting haemosporidian parasites. We used publicly available data for plumage coloration, bird phylogeny, and life-history traits to run models with plumage dichromatism and complexity in males and females. We found that dichromatism was more pronounced in bird species with higher prevalence of haemosporidian parasites. Lastly, females with high plumage coloration complexity were associated with a longer incubation period. Our results indicate an association between haemosporidian parasites and plumage coloration suggesting that parasites impact mechanisms of both sexual selections, increasing differences between sexes, and social (non-sexual) selection, driving females to develop more complex colorations. </span></p>
Progeny Project DFT and NAMD data for periodic 2D surfactant
<p>Crystalline unit cell, band structure, and electron-hole recombination dynamics from non-adiabatic molecular dynamics for the periodic 2D surfactant of the Progeny.</p> <p>See Readme.txt for more details.</p>
The agrofood systems in France, Spain and Portugal at a NUT2 resolution for the 2014-2019 period (GRAFS Data set)
<p>The GRAFS approach (Generalized Representation of Agro-food systems) describes the agro-food system by considering four main components exchanging nutrient flows: cropland, grassland, livestock systems, and local population. The agro-food system is documented here for the period 2014–2019, at the territorial level of the EU administrative units NUTS2, in terms of N for (i) nutrient inputs to the soil (exogenous fertilization such as synthetic and/or organic fertilization and atmospheric deposition, as well as symbiotic fixation); (ii) the feed required for the existing livestock; (iii) the size of the human population, its dietary preferences, and its excreta; and (iv) food and feed imports/exports (Billen et al., 2018; 2021). These N flows link grassland and cropland productivity (from annual and perennial crops) to livestock feeding, and, finally, to human food. Detailed figures for these different components are presented in the joint Table.</p> <p>Using the GRAFS approach to our study area, we also expand upon the approach used by Le Noë et al. (2018), which established different typologies of the agro-food systems in France. This approach intends to describe the degree of coupling between crop and livestock farming, local production/consumption to shows regional differences (see Table 1SM for a detailed description of the different typologies defined). The GRAFS approach also allows to calculates, NH3 volatisization and N2O emission, as well as leaching concentration (the net soil surplus as a proxy).</p>
Solid-state-like high harmonic generation from cluster molecules with rotational periodicities
<p><span>High harmonic generation (HHG) from solid-state crystals in strong laser fields has been understood by the band structure of the solids, which is based on the periodic boundary condition (PBC) due to translational invariance. For the systems with PBC due to rotational invariance, an analogous Bloch theorem can be applied. Considering a ring-type cluster of cyclo[18]carbon as an example, we develop a quasi-band model and predict the solid state-like HHG in this system. Under the irradiation of linearly polarized laser field, cyclo[18]carbon exhibits solid-state-like HHG originated from intra-band oscillations and inter-band transitions, which in turn is promising to optically detect the symmetry and geometry of controversial structures. Our results based on the Liouville-von-Neumann equations are well reproduced by the time-dependent density functional theory calculations and are foundational in providing a connection linking the HHG physics of gases and solids.</span></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)
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.