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Online trust in Information Society. Four representative database and questionnaire (Hungary, Romania, Poland, Czech Republic
<p>This data collection was conducted by the Institute of the Information Society of the University of Public Service - Ludovika, and covered four Central European countries: the Czech Republic, Hungary, Poland, and Romania, with the aim of examining the characteristics of the use of information technology by the adult population in the region, mainly for communication purposes. A telephone survey was conducted in October and November 2019, and the results are representative of the population over 18 years of age in the four countries, categorized by age, gender, education, type of settlement and region.</p> <p><br>The data set contains:</p> <ul> <li>Questionnaires in the original languages (Hungarian, Czech, Romanian and Polish), and all questionnaires in English language, too.</li> <li>The four databases with variables in English</li> <li>Merged database of four databases</li> <li>Code table about variables </li> </ul>
PV-gradient (PVG) tropopause: Time series 1980--2017 in four reanalyses
<h1>PV-gradient tropopause time series</h1> <h2>General description</h2> <p>These datasets contain time series of the PV-gradient tropopause (PVG tropopause) introduced by A. Kunz (2011, <a href="https://doi.org/10.1029/2010JD014343">doi:10.1029/2010JD014343</a>) and calculated by K. Turhal (2024, paper " Variability and Trends in the PVG Tropopause", preprint in EGUsphere: https://doi.org/10.5194/egusphere-2024-471).</p> <h2>Data and methods</h2> <p>The PVG tropopause has been computed by means of the Eddy Tracking Toolkit (developed by J. Clemens and K. Turhal, to be published):</p> <ul> <li>from four reanalyses: ERA5, ERA-Interim, MERRA-2 and JRA-55</li> <li>for the time range 1980/01/01 -- 2017/12/31 in time steps of the according reanalyses, i.e. four times daily at 00h, 06h, 12h and 18h</li> <li>on each isentropic level, with potential temperatures (theta) ranging from 320 K to 380 K, in steps of 5 K for ERA5 and 10 K for the other reanalyses.</li> </ul> <h2>Contents</h2> <p>Datasets are provided for each year and isentropic level in NetCDF4 format, every file consisting of two groups for the northern and southern hemisphere. Each group contains the following variables, with time as dimension:</p> <ul> <li>time in seconds since 2000/01/01 00:00 UTC</li> <li>u_lim: Zonal wind speed at the PVG tropopause</li> <li>vh_lim: Horizontal wind speed at the PVG tropopause</li> <li>q_lim: Maximum of Q = vh * Grad PV</li> <li>eqlat_lim: Location of the PVG tropopause in equivalent latitudes</li> <li>latmean_lim: Location of the PVG tropopause in latitudes</li> <li>pv_lim: PV value at the PVG tropopause</li> </ul> <p>In this upload, the PVG tropopause time series are included as *.zip files:</p> <ul> <li>ERA5 dataset: "pvg-tp_era5_ts.zip"</li> <li>ERA-Interim dataset: "pvg-tp_eraint_ts.zip"</li> <li>MERRA-2 dataset: "pvg-tp_merra2_ts.zip"</li> <li>JRA-55 dataset: "pvg-tp_jra55_ts.zip"</li> <li>Plots of time series for each reanalysis of the variables eqlat_lim, latmean_lim and pv_lim: "pvg_tropopause_timeseries_plots.zip".</li> </ul> <h2>How to use</h2> <p>The variables in these netCDF files are grouped by hemisphere. To read in the data, specify the group first ("NorthernHemisphere" or "SouthernHemisphere") and then the variable name (see list above). In Python, this can be done as follows:</p> <pre><code>import netCDF4 as nc file="<insert file path here>" d = nc.Dataset(file) # read in a variable. Syntax: d["group name"]["variable name"][:]. For example: latmean_lim = d["NorthernHemisphere"]["latmean_lim"][:] # test print print(f"First value of latmean_lim in NH: {latmean_lim[0]}")</code></pre> <p>If you would like to read in all variables in both hemispheres, you can loop e.g. as follows:</p> <pre><code>import netCDF4 as nc file = "<insert file path here>" d = nc.Dataset(file) # iterate through both hemispheres for hem in ["NorthernHemisphere", "SouthernHemisphere"]: # select the group to each hemisphere in the netCDF file g = d.groups[hem] # iterate through variables in each hemisphere. "v" is the name of each variable in the group. for v in g.variables: # read in the data for variable 'v' in hemisphere 'hem' as an array var = g[v][:] # just a test print, optional print(f"First value of {v} in {hem.replace('Hem', ' Hem')} is {var[0]}")</code></pre> <h2>Funding</h2> <p>This project has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – TRR 301 – Project-ID 428312742, TPChange: The Tropopause Region in a Changing Atmosphere (<a href="https://tpchange.de/">https://tpchange.de/</a>).</p>
Micro-CT data from the skeleton of the sea urchin Cidaris rugosa at four different resolutions
<p>The sponge-like biomineralised calcite materials found in echinoderm skeletons are of interest in terms of both structure formation and biological function. Despite their crystalline atomic structure, they exhibit curved interfaces that have been related to known triply-periodic minimal surfaces. Here, we investigate the endoskeleton of the sea urchin <em>Cidaris rugosa</em> that has long been known to form a microstructure related to the Primitive surface. Using X-ray tomography, we find that the endoskeleton is organised as a composite material consisting of domains of bicontinuous microstructures with different structural properties. We describe, for the first time, the co-occurrence of ordered Primitive and Diamond structures and of a disordered structure within a single skeletal plate. We show that these structures can be distinguished by structural properties including solid volume fraction, trabeculae width, and to a lesser extent, interface area and mean curvature. In doing so, we present a robust method that extracts interface areas and curvature integrals from voxelized datasets using the Steiner polynomial for parallel body volumes. We discuss these very large scale bicontinuous structures in the context of their function, formation, and evolution.</p>
Dynamical Parameters and Clustering Results for Four-hundred Very Metal-Poor Stars Studied with LAMOST and Subaru
<p>This is the data associated with the paper "Four-hundred Very Metal-Poor Stars Studied with LAMOST and Subaru. III. Dynamically Tagged Groups and Chemodynamical Properties" by Zhang, Matsuno, Li et al. 2024. Table "LSVMP_HRdata_dynamics.csv" contains the dynamical parameters and clustering results of the HR sample in this paper. File "readme.txt" describes the meaning of each column in the table and the notes for the flag of stars. </p> <p>This sample is obtained by the LAMOST/Subaru joint project. See our paper I (DOI: 10.3847/1538-4357/ac6515) for detailed descriptions of target selection and observations, paper II (DOI: 10.3847/1538-4357/ac6514) for the chemical abundance analysis, and paper III (DOI: 10.3847/1538-4357/ad31a6) for clustering and chemodynamical analysis.</p> <p>If you have any questions about this data, please contact lhn@nao.cas.cn or rz.richie.zhang@gmail.com for more information.</p>
Fig. 12 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 12. Dorylaimellus kasplateauensis sp. nov. A–C. Paratype 1, ♀ (slide 1). D, F. Paratype 2, ♀ (slide 1). E. Paratype 3, ♀ (slide 2). G–H. Paratype 5, ♀ (slide 4). A. Entire female. B. Anterior region. C. Anterior end showing amphid. D. Neck region. E. Female genital system. F. Vulva region. G–H. Female posterior region.
Fig. 13 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 13. Dorylaimellus kasplateauensis sp. nov. (LM photographs). A–C. Paratype 1, ♀ (slide 1). D–E, H–I. Paratype 2, ♀ (slide 1). F–G. Paratype 4, ♀ (slide 2). A–B. Anterior region. C. Anterior end showing amphid. D. Expanded part of pharynx. E. Vulva. F. Anterior genital branch. G. Posterior genital branch. H. Arrows indicating body pores. I. Female posterior end. Scale bars: A–I = 10 µm.
Fig. 9 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 9. Dorylaimellus cylindricaudatus sp. nov. (LM photographs), paratype 2, ♀ (Slide 3). A. Anterior region, arrow indicating basal flanges. B. Anterior end showing amphid. C. Expanded part of pharynx. D. Vulva region. E–F. Female genital branches. G. Lateral glandular bodies. H–I. Posterior end. Scale bars: 10 µm.
Fig. 6 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 6. Dorylaimellus attenuatus sp. nov. A–D, F–G. Paratype 6, ♀ (Slide 7). E. Paratype 11, ♀ (slide 12). A. Entire female. B. Anterior region. C. Anterior end showing amphid. D. Neck region. E. Female genital system. F. Vulva region. G. Posterior region.
Fig. 5 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 5. Dorylaimellus chakpilus Mohilal, Gambhir & Dhanachand, 2000 (LM photographs). A– B. Anterior region, arrow in A indicating basal flanges. C. Anterior end showing amphid. D. Arrows indicating body pores. E. Expanded part of pharynx. F. Vulva region. G. Female genital system. H. Posterior end. Scale bars: A–H = 10 µm.
Fig. 2. Dorylaimellus discocephalus Siddiqi, 1964. A. Entire female. B. Entire male. C. Anterior region. D. Anterior end showing amphid. E. Neck region. F. Female genital system. G. Vulva region. H. Male posterior region. I. Spicule. J in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 2. Dorylaimellus discocephalus Siddiqi, 1964. A. Entire female. B. Entire male. C. Anterior region. D. Anterior end showing amphid. E. Neck region. F. Female genital system. G. Vulva region. H. Male posterior region. I. Spicule. J. Female posterior end.
Fig. 1. Dorylaimellus andrassyi Heyns, 1963 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 1. Dorylaimellus andrassyi Heyns, 1963 (LM photographs). A–B. Anterior region, arrow indicating perioral disc. C. Anterior end showing amphid. D. Expanded part of pharynx, arrows indicating ventral body pores. E. Vulva. F–G. Female genital branches. H–I. Spicules. J. Arrows indicating ventromedian supplements. K–L. Male posterior end. M. Female posterior end. Scale bars: A–M = 10 µm.
Fig. 11 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 11. Dorylaimellus karnatakensis sp. nov. (KM photographs). A–C. Paratype 1,♀ (slide 2). D– G, J–K. Paratype 2, ♀ (slide 3). H–I. Paratype 4, ♂ (slide 4). A–B. Anterior region. C. Amphid. D. Expanded part of pharynx. E. Vulva. F–G. Female genital branches. H. Ventromedian supplements. I. Male posterior end. J–K. Female posterior end. Scale bars: 10 µm.
Fig. 15 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 15. Dorylaimellus tropicus sp. nov. (LM photographs). A, D–E, G, I. Paratype 1, ♀ (slide 2). B–C, F, H. Paratype 3, ♀ (slide 4). A. Anterior region, arrow indicating cuticularized pieces. B. Arrow indicating odontostyle. C. Anterior end showing amphid. D. Arrow indicating hemizonid. E. Expanded part of pharynx. F. Vulva. G. Female genital system. H. Tail. I. Hypodermal glandular bodies. Scale bars: A–I = 10 µm.
Fig. 8 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 8. Dorylaimellus cylindricaudatus sp. nov. A–G. Paratype 2, ♀ (Slide 3). H. Holotype, ♀ (slide 1). A. Entire female. B. Anterior region. C. Anterior end showing amphid. D. Neck region. E. Female genital system. F. Vulva region. G–H. Posterior regions showing prerectums and tails.
Fig. 4. Dorylaimellus belondirelloides Siddiqi, 1968 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 4. Dorylaimellus belondirelloides Siddiqi, 1968 (LM photographs). A. Anterior region, arrow indicating fusiform thickening. B. Arrow indicating basal flanges. C. Anterior end showing amphid. D. Expanded part of pharynx, arrows indicating small globules. E. Vulva region. F. Female genital system. G. Posterior region. Scale bars: A–G = 10 µm.
Fig. 10 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 10. Dorylaimellus karnatakensis sp. nov. A, C–D. Paratype 1,♀ (slide 2). E–G, J. Paratype 2, ♀ (slide 3). B, H–I. Paratype 4, ♂ (slide 4). A. Entire female. B. Entire male. C. Anterior region. D. Anterior end showing amphid. E. Neck region. F. Female genital system. G. Vulva region. H. Male posterior region showing ventromedian supplements. I. Male posterior end showing spicule. J. Female posterior end.
Fig. 14 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 14. Dorylaimellus tropicus sp. nov. A–B, F. Paratype 1, ♀ (slide 2). C, E, G–H. Paratype 3, ♀ (slide 4). D. Paratype 2, ♀ (slide 2). A. Entire. B. Anterior region. C. Anterior end showing amphid. D. Neck region. E. Vulva. F. Genital system. G. Posterior end showing prerectum. H. Female posterior end.
Fig. 7 in Description of five new and four known species of Dorylaimellus Cobb, 1913 with perioral disc (Nematoda: Belondiroidea) from the Western Ghats of India
Fig. 7. Dorylaimellus attenuatus sp. nov. (LM photographs). A–H. Paratype 6, ♀ (Slide 7). A. Anterior region, arrow indicating basal flanges. B. Arrow indicating odontostyle. C. Anterior end showing amphid. D. Expanded part of pharynx. E. Vulva. F. Female genital system. G. Arrows indicating ventral body pores. H. Female posterior end. Scale bars: A–H = 10 µm.
Dataset: Fano meets Stokes: Four-order-of-magnitude enhancement of asymmetric Brillouin light scattering spectra
<p>Dataset accompanying publication:</p> <p>Rafał Białek, Thomas Vasileiadis, Mikołaj Pochylski, Bartłomiej Graczykowski, Fano meets Stokes: Four-order-of-magnitude enhancement of asymmetric Brillouin light scattering spectra, Photoacoustics, Volume 30, 2023, 100478, ISSN 2213-5979, https://doi.org/10.1016/j.pacs.2023.100478.</p>
Figure 1 in Mitochondrial genomes of four pierid butterfly species (Lepidoptera: Pieridae) with assessments about Pieridae phylogeny upon multiple mitogenomic datasets
Figure 1. Circular map of Baltia butleri, Talbotia naganum, Pontia callidice, Pontia daplidice mitochondrial genome. COI, COII, and COIII refer to the cytochrome oxidase subunits; CytB refers to cytochrome B; ATP6 and ATP8 refer to subunits 6 and 8 of F0 ATPase; ND1-6 refers to the components of NADH dehydrogenase. The tRNAs locations are marked by the color blocks and labeled by the IUPAC-IUB single letter amino acid code. L1, L2, S1, and S2 denote tRNALeu (CUN), tRNALeu (UUR), tRNASer (AGN), and tRNASer (UCN), respectively. The non-underlined genes are transcribed on the majority strand whereas the underlined genes are transcribed on the minority strand.
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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.