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993 results for “T Dwarfs”
Dwarf's costume from a historical engraving
The 3D model presents a digital look of a historical costume from a Russian lubok print "A dwarf and a dwarfess" dating to the 18th century. The costume was made for a theatrical performance «Indecent is decent» (Ivanovo State Museum of Local History named after D.G. Burylin, October 30, 2019 – March 1, 2020). The 3D reconstruction was made by using historical block patterns, 2D scans of textile materials and 3d scans of contemporary actors. Anthroscan, Clo3D, SubstancePainter and Unreal Engine 4 software programs were used. The authors of the 3D model are: Victor Kuzmichev https://www.researchgate.net/profile/Viktor-Kuzmichev Aleksei Moskvin https://sketchfab.com/alekseimoskvin1 https://independent.academia.edu/AlekseiMoskvin Mariia Moskvina https://sketchfab.com/mariia89 https://independent.academia.edu/MariiaMoskvina The authors thank Tatiana Ponomareva and Anastasia Kornilovich for their important contribution to the project. Source: Objaverse 1.0 / Sketchfab
Dwarf Tapir jaw. Gray Fossil Site, TN.
Dwarf Tapir (*Tapirus polkensis*) mandible from Gray Fossil Site, TN. Pliocene. On exhibit at the McClung Museum, University of Tennessee, Knoxville. Source: Objaverse 1.0 / Sketchfab
SPMP dwarf gallery
Realized within the project of the sourced-based reconstruction of the New Synagogue in Wroclaw/Breslau (Poland). Link to the 3D model documentation: http://www.vfu-oppler.hs-mainz.de/en/wisski/navigate/5747/view. Supported by »The German Federal Government Commissioner for Culture and the Media « (02/2018-11/2019) and »The Foundation for Polish-German Cooperation« (05/2018). Magnified by https://architekturinstitut.hs-mainz.de/. Published under CC-BY-NC-SA 4.0. Source: Objaverse 1.0 / Sketchfab
Figure 3. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176
Figure 3. - TW18: T.lobata, female, Isle of Wight
Spectroscopic data set for an unusual white dwarf
<p>The tar file includes fits-formatted count (d*) and flux (ca*) spectra of an unusual white dwarf obtained at the MDM observatory. The spectra are wavelength calibrated. Users should exercise caution when quoting absolute flux. Heliocentric velocity corrections are not applied. The count spectra list the wavelength (angstrom) and the total count, and the flux spectra list the wavelength (angstrom) and the flux in units of erg/cm^2/s/angstrom.</p>
Reproduction package for the paper "A LOFAR sample of luminous compact sources coincident with nearby dwarf galaxies"
<p>Scripts to reproduce analyses from Vohl et al. 2023, A&A.</p>
Dynamically coupled kinetic chemistry in brown dwarf atmospheres - II. Cloud and chemistry connections in directly imaged sub-Jupiter exoplanets
<p>Gifs of GCM output from the paper, model is Teff = 1000 K, log g = 3, M/H = 1. </p><p>The atmos_daily_2980.nc file contains the GCM NETCDF output at 2080 days.</p>
Dwarf Tapir Skull (Pliocene), Gray Fossil Site
Dwarf Tapir skull (ETMNH3519) from Gray Fossil Site, TN. Scanned with an Artec Space Spider scanner. Source: Objaverse 1.0 / Sketchfab
Dwarf Tapir radius. Gray Fossil Site, TN.
Dwarf tapir (*Tapirus polkensis*) radius from Gray Fossil Site, TN. Pliocene. On exhibit at the McClung Museum, University of Tennessee, Knoxville. Source: Objaverse 1.0 / Sketchfab
The conservation genetics of Iris lacustris (Dwarf Lake Iris), a Great Lakes endemic
<p><em>Iris lacustris</em>, a northern Great Lakes endemic, is a rare species known from 165 occurrences across Lake Michigan and Huron in the United States and Canada. Due to multiple factors, including habitat loss, lack of seed dispersal, patterns of reproduction, and forest succession, the species is threatened. Early population genetic studies using isozymes and allozymes recovered no to limited genetic variation within the species. To better explore genetic variation across the geographic range of <em>I. lacustris </em>and to identify units for conservation, we used tunable Genotyping-by-Sequencing (tGBS) with 171 individuals across 24 populations from Michigan and Wisconsin, and because the species is polyploid, we filtered the single nucleotide polymorphism (SNP) matrices using polyRAD to recognize diploid and tetraploid loci. Based on multiple population genetic approaches, we resolved three to four population clusters that are geographically structured across the two ranges of the species. The species migrated from west to east across its geographic range, and minimal genetic exchange has occurred among populations. Four units for conservation are recognized, but nine adaptive units were identified, providing evidence for local adaptation across the geographic range of the species. Population genetic analyses with all, diploid, and tetraploid loci recovered similar results, which suggests that methods may be robust to variation in ploidy level. </p>
Neutron Star - White Dwarf Binaries: Probing Formation Pathways and Natal Kicks with LISA
<p>We present supplementary datasets accompanying our publication<em> </em><a href="https://arxiv.org/abs/2310.06559">Neutron Star - White Dwarf Binaries: Probing Formation Pathways and Natal Kicks with LISA</a>.<em> </em>These catalogues reperesent the Galactic population of double white dwarf (DWD) and neutron star - white dwarf (NSWD) binaries emitting gravitational waves (GWs) in the <em>Laser Interferometer Space Antenna</em> (LISA) frequency band (0.1 mHz - 1 Hz). The catalogues have been constructed based on binary evolution models <a href="https://arxiv.org/abs/1208.6446">Toonen et al. 2012</a> for DWDs and <a href="https://arxiv.org/abs/1804.01538">Toonen et al. 2018</a> for NSWD binaries, obtained using SeBa binary population synthesis code.</p> <p><strong>Data contents</strong></p> <p>The dataset consists of <strong>12 catalogues </strong>representing Galactic populations of NSWD and/or DWD binaries, which are expected to be the most numerous types of binaries amongt LISA's Galactic sources. Each catalogue is distinguished by its model ID, which specifies the presence of NSWD and/or DWD binaries, the CE model used, CE efficiency values, and the NS natal kick prescription applied (see table below).</p> <p>Each catalogue is structured to describe a binary systems with the following attributes:</p> <ul> <li><strong>Name*</strong>: binary identifier; this consist of a prefix indicating the binary type (<code>'MW_DWD'</code> for a DWD binary, <code>'MW_NSWD_ecc0'</code> for a circular NSWD bianry, or <code>'MW_NSWD_ecc1'</code> for an eccentric NSWD binary) followed by a unique ID number. For example, <code>'MW_DWD 28713637'</code>.</li> <li><strong>Frequency</strong>: present-day GW frequency (Hz).</li> <li><strong>Frequency Derivative</strong>: rate of change of GW frequency over time (Hz^2).</li> <li><strong>Ecliptic Latitude</strong>: in radians (rad).</li> <li><strong>Ecliptic Longitude</strong>: in radians (rad).</li> <li><strong>Amplitude</strong>: GW amplitude (dimensionless).</li> <li><strong>Inclination</strong>: angle between the binary's orbital plane and our line of sight, in radians (rad).</li> <li><strong>Polarization</strong>: Orientation of the GW's polarization, in radians (rad).</li> <li><strong>Initial Phase</strong>: initial phase (rad).</li> <li><strong>Eccentricity</strong>: orbital eccentricity (dimensionless).</li> </ul> <p><strong>*</strong>Note that the <strong>Name </strong>field for eccentric NS+WD binaries (staring with <code>'MW_NSWD_ecc1'</code>) is not unique because these binaries are represented by multiple harmonics sharing the same name ID. The number of harmonics included varies for each binary to ensure that at least 99% of the binary's total GW power is represented. Thus, for each binary, we added harmonics incrementally until this threshold is reached.</p> <table> <tbody> <tr> <td>Model ID</td> <td>WD+WD</td> <td>NS+WD</td> <td>CE model</td> <td>CE efficiency</td> <td>NS natal kick</td> </tr> <tr> <td>1_0</td> <td>Yes</td> <td>No</td> <td>αα</td> <td>αλ=2.00</td> <td>N/A</td> </tr> <tr> <td>1_1</td> <td>Yes</td> <td>Yes</td> <td>αα</td> <td>αλ=2.00</td> <td>Verbunt</td> </tr> <tr> <td>1_2</td> <td>Yes</td> <td>Yes</td> <td>αα</td> <td>αλ=2.00</td> <td>Arzoumanian</td> </tr> <tr> <td>1_3</td> <td>Yes</td> <td>Yes</td> <td>αα</td> <td>αλ=2.00</td> <td>Hobbs</td> </tr> <tr> <td>1_4</td> <td>Yes</td> <td>Yes</td> <td>αα</td> <td>αλ=2.00</td> <td>Blaauw</td> </tr> <tr> <td>2_0</td> <td>Yes</td> <td>No</td> <td>αα2</td> <td>αλ=0.25</td> <td>N/A</td> </tr> <tr> <td>2_1</td> <td>Yes</td> <td>Yes</td> <td>αα2</td> <td>αλ=0.25</td> <td>Verbunt</td> </tr> <tr> <td>2_2</td> <td>Yes</td> <td>Yes</td> <td>αα2</td> <td>αλ=0.25</td> <td>Arzoumanian</td> </tr> <tr> <td>2_3</td> <td>Yes</td> <td>Yes</td> <td>αα2</td> <td>αλ=0.25</td> <td>Hobbs</td> </tr> <tr> <td>2_4</td> <td>Yes</td> <td>Yes</td> <td>αα2</td> <td>αλ=0.25</td> <td>Blaauw</td> </tr> <tr> <td>3_0</td> <td>Yes</td> <td>No</td> <td>αγ</td> <td>αλ=2.00, γ=1.75</td> <td>N/A</td> </tr> <tr> <td>3_1</td> <td>Yes</td> <td>Yes</td> <td>αγ</td> <td>αλ=2.00, γ=1.75</td> <td>Verbunt</td> </tr> </tbody> </table> <p> </p> <h4><strong>Citing the Dataset</strong></h4> <p>When utilising these catalogues in your research, please cite <a href="https://arxiv.org/abs/2310.06559">Korol et al. 2024.</a> We also note our companion data-analysis-focused paper <a href="https://arxiv.org/abs/2310.06568">Moore et al. 2024</a>.</p>
Datasets for article "Transient behavior of three SU UMa-type dwarf novae; AR Pic, QW Ser and V521 Peg"
<p>Datasets for the article "Transient behavior of three SU UMa-type dwarf novae; AR Pic, QW Ser and V521 Peg"</p> <p> </p>
Ericaceous dwarf shrubs contribute a significant but drought-sensitive fraction of soil respiration in a boreal pine forest
<p><span>Boreal forests often have a dense understory of ericaceous dwarf shrubs with ecological adaptations that contrast those of the canopy-forming trees. It is therefore important to quantify contributions by understory shrubs to ecosystem processes and disentangle shrub- and tree-driven responses, and their interactions, to climatic factors. </span><span>We quantified soil respiration driven by the pine canopy and the ericaceous shrub understory over three years, using a factorial pine root-exclusion and shrub-removal experiment in a mature <em>Pinus sylvestris</em> forest. Soil temperature and moisture-related responses of respiration attributed to autotrophic (shrubs, pine roots) and heterotrophs were compared. Additionally, we assessed effects of interactions between these functional groups on soil nitrogen availability and respiration. </span><span>Understory shrubs accounted for </span><span>22 ± 10% of total autotrophic respiration, reflecting the ericaceous proportion of fine root production in the ecosystem. Heterotrophic respiration constituted about half of total soil respiration. Shrub-driven respiration was more susceptible to drought than heterotrophic- and pine-driven autotrophic respiration. While the respiration attributed to canopy and understory remained additive, indicating no competitive release, </span><span>the plant guilds competed for inorganic N. </span><span>Ericaceous understory shrubs accounted for a small, yet significant, share of total growing season soil respiration. Overlooking understory respiration may lead to erroneous partitioning and modelling of soil respiration mediated by functional guilds with contrasting responses to soil temperature and moisture. A higher share of activity of both heterotrophs and pine roots, under drought conditions, could have important implications for soil organic matter accumulation and decomposition as the climate changes.</span></p>
On Trapped Modes In Variable White Dwarfs As Probes Of The 12C(α, γ)16O Reaction Rate
<p>The files in this dataset should have everything to re-produce figure 10, the summary plot in the manuscript.</p>
Additional Figures for winning models for sample in A Comparative L-dwarf Sample Exploring the Interplay Between Atmospheric Assumptions and Data Properties
<p>Additional Figures for winning models for sample in <em>A Comparative L-dwarf Sample Exploring the Interplay Between Atmospheric Assumptions and Data Properties (<a href="https://arxiv.org/pdf/2209.02754.pdf">https://arxiv.org/pdf/2209.02754.pdf</a>).</em></p> <p>Model naming key: NC = cloud-free, d2_89 = power-law deck cloud</p> <p>SDSS J1416+1348A: Winning model: power-law deck cloud</p> <p>Spectral Type Comparison J1526+2043 Winning model: Cloud-free</p> <p>Temperature Comparisons</p> <p>J1539-0520 Winning model: Power-law deck cloud and cloud-free tied.</p> <p>J0539-0059 Winning model: Power-law deck cloud and cloud-free tied. </p> <p><br> </p>
Applying the metallicity-dependent binary fraction to double white dwarf formation: Implications for LISA -- COSMIC + Ananke data
<p>This dataset contains all data required to run the pipeline which produces the results and figures in Thiele+2022 including:</p> <p>- results of all COSMIC simulations for the fiducial, alpha25, alpha5, and q3 models for each double white dwarf type and binary fraction assumption</p> <p>- metallicities, ages, positions and star particle kernel lengths from the Ananke framework of galaxy m12i in the Latte suite of the FIRE-2 simulations.</p>
Data from: Declining temperature and increasing moisture sensitivity of shrub growth in the Low-Arctic erect dwarf-shrub tundra of western Greenland
<p>Evergreen dwarf shrubs respond swiftly to warming in the cool and dry High Arctic, but their response in the warmer Low Arctic, where they are expected to be outcompeted by taller species under future warming, remains to be clarified.</p> <p>Here, 12,528 annual growth increments, covering 122 years (1893-2014), were measured of 764 branches from 25 individuals of the evergreen dwarf shrub <em>Cassiope tetragona </em>from a Low-Arctic erect dwarf-shrub tundra site in western Greenland. In addition, branch initiation and mortality frequency time series were developed. The influence of seasonal climate and correspondence with fluctuations in regional normalized difference vegetation index (NDVI), a satellite proxy for vegetation productivity, were studied.</p> <p>Summer temperatures were the main driver of growth, while winter temperatures were the main non-summer-climate driver. During past and recent warm episodes, shrub growth diverged from summer temperatures. In recent decades, early summer precipitation has become the main growth-limiting factor for some individuals, likely through micro-topography-determined soil moisture availability, and more than half of the shrubs studied became irresponsive to summer temperatures. There was correspondence between climatic drivers, <em>C. tetragona</em> growth and branch initiation frequency, and satellite-observed vegetation productivity, suggesting the area's shrub-dominated tundra vegetation is limited by similar climatic factors. Winter warming events were likely the predominant cause of branch mortality, while branching increased after years of poor growth and cooler-than-average summers.</p> <p><strong>Synthesis</strong>: These findings show that the erect dwarf-shrub tundra in the Low Arctic has already and will likely become decreasingly temperature- and increasingly moisture-limited and that winter warming supports shrub growth, but increased extreme winter warming event frequency may increase branch mortality and vegetation damage. Such counter-acting mechanisms could offer an explanation for the vegetation stability observed over large parts of the Arctic.</p>
FUMES III: Ultraviolet and Optical Variability of M Dwarf Chromospheres
<p>We obtained ultraviolet and optical spectra for 9 M dwarfs across a range of rotation periods to determine whether they showed stochastic intrinsic variability distinguishable from flares. The ultraviolet spectra were observed during the Far Ultraviolet M Dwarf Evolution Survey <em>Hubble Space Telescope</em> program using the Space Telescope Imaging Spectrograph. The optical observations were taken from the Apache Point Observatory 3.5-meter telescope using the Dual Imaging Spectrograph and from the Gemini South Observatory using the Gemini Multi-Object Spectrograph. We used the optical spectra to measure multiple chromospheric lines: the Balmer series from H$\alpha$ to H$10$ and the Ca II H and K lines. We find that after excising flares, these lines vary on the order of $1-20\%$ at minute-cadence over the course of an hour. The absolute amplitude of variability was greater for the faster rotating M dwarfs in our sample. Among the 5 stars for which measured the weaker Balmer lines, we note a tentative trend that the fractional amplitude of the variability increases for higher order Balmer lines. We measured the integrated flux of multiple ultraviolet emission features formed in the transition region: the N V, Si IV, and C IV resonance line doublets, and the C II and He II multiplets. The signal-to-noise (S/N) ratio of the UV data was too low for us to detect non-flare variability at the same scale and time cadence as the optical. We consider multiple mechanisms for the observed stochastic variability and propose both observational and theoretical avenues of investigation to determine the physical causes of intrinsic variability in the chromospheres of M dwarfs.</p> <p>All code associated with the analysis and plots for this paper are included in .py scripts. All raw data for the optical spectra are its files compressed into a tar.gzip archive while all reduced spectra are in fits files. All tables are provided in the astropy ASCII text ecsv file format.</p> <ul> <li><strong>Optical Reduction Code</strong>: The reduction code is divided into two folders, one labelled "pydis" and another labelled "pygemini".</li> <li><strong>Equivalent Width Measurements:</strong> The equivalent widths are measured using a combination of two tables for each exposure: one ending with the suffix "ew_windows.ecsv" that lists the boundaries of the blue and red continua windows and the continuum flux density value, and another ending with the suffix "ew_lines.ecsv" that lists the boundaries of the wavelength window, the integrated line flux with its error, and the equivalent width with its error. These tables are in a subdirectory named "fit_tables".</li> <li><strong>spectralPhoton:</strong> The version of spectralPhoton code and the scripts we use to split the <em>Hubble</em> x1d spectra are in a directory named "uv".</li> <li><strong>Line-fitting Tables:</strong> The parameter values and associated errors are recorded in tables structured similarly to the equivalent width tables, ending with suffixes "windows.ecsv" and "lines.ecsv".</li> <li><strong>Time Series Tables:</strong> The equivalent widths and integrated line fluxes are collated into time series tables in the subdirectory "time_series". Entries with cosmic ray hits in the middle of the line or other spectral defects have been commented out using a # symbol.</li> <li><strong>Posterior Distributions:</strong> All posterior samples and their log-likelihood values are recorded in numpy binary .npy files that can be read using the numpy.load() function. These files are divided into two subdirectories named ``abs" and ``frac" for the absolute and fractional flux fits respectively.</li> </ul>
Dwarf Tapir ulna. Gray Fossil Site, TN.
Dwarf tapir (*Tapirus polkensis*) ulna from Gray Fossil Site, TN. Pliocene. On exhibit at the McClung Museum, University of Tennessee, Knoxville. Source: Objaverse 1.0 / Sketchfab
Solidarnosc Dwarf
Dwarf located near Depot History Centre in Wrocław. Model exported straight from Agisoft Metashape. Source: Objaverse 1.0 / Sketchfab
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.