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89 results for “K2”
The stellar parameters and the quantities of the residual emissions of the detected active stars in the LAMOST-K2 survey
<p>The full Table 1 in <em>Investigation of stellar magnetic activity using variational autoencoder based on low-resolution spectroscopic survey</em> (Xiang, Gu & Cao, 2022, MNRAS, 514, 4781; <a href="https://arxiv.org/abs/2206.07257">arXiv:2206.07257</a>). The columns are LAMOST obsid, K2 ID, Teff, logg, [Fe/H], EW_res_Halpha, EW_res_Ca II 8498, EW_res_Ca II 8542, EW_res_Ca II 8662, log F_Halpha, log F_Ca, log R'_Halpha, log R'_Ca. The chromospheric emissions were detected and measured with the spectral subtraction technique, which removes the inactive template spectra (photospheric contribution) from the observed stellar spectra. In this work, we used the variational autoencoder neural networks to efficiently generate the proper template spectra in a data-driven manner. More details can be found in the associated paper (<a href="https://arxiv.org/abs/2206.07257">https://arxiv.org/abs/2206.07257</a>). The demo code can be found on GitHub (<a href="https://github.com/xylib/vae-for-spectroscopic-survey">https://github.com/xylib/vae-for-spectroscopic-survey</a>).</p>
275 Candidates and 149 Validated Planets Orbiting Bright Stars in K2 Campaigns 0-10
<p>This dataset contains transit model posterior distributions and validation analyses for the 275 exoplanet candidates (in 233 systems) analyzed in Mayo et al. (2018), titled "275 Candidates and 149 Validated Planets Orbiting Bright Stars in K2 Campaigns 0-10".</p> <p>The dataset takes the form of 233 compressed directories each corresponding to an exoplanet system and titled after its EPIC ID. Within a given directory there are two numpy pickles named EPICXXXXXXXXX_chains.npy and EPICXXXXXXXXX_lnlikes.npy (where XXXXXXXXX is the 9 digit EPIC number) as well as n subdirectories, where n is the number of planet candidates in the system.</p> <p>The EPICXXXXXXXXX_chains.npy pickle is a representative sample of the posterior distribution of the transit model for a given exoplanet system. The pickle is a numpy array of size (j,k,l), where j is the number of walkers in the Markov chain Monte Carlo ensemble simulation that sampled the posterior distribution (note: we chose to fix j = 2*l), k is the number of walker steps reported in this dataset (the full posteriors were thinned down to between 750 and 10,000 steps), and l is the number of parameters in the transit model for the exoplanet system. The EPICXXXXXXXXX_lnlikes.npy pickle contains the associated ln(likelihood) values for each walker step in the previously described pickle. This pickle is a numpy array of size (j,k) where j and k are defined as above.</p> <p>The number of parameters will always be of the form 4 + 5*n, where n is again the number of planets in the systems. The first four parameters in the pickle are a baseline offset parameter for the normalized flux, a noise parameter to take the place of flux error bars, and two quadratic limb darkening parameters q<sub>1</sub> and q<sub>2</sub> based on Kipping et al. (2013). The next five parameters (and each subsequent set of five parameters in multi-candidate systems) refer to the reference epoch (a mid-transit time in BJD - 2454833), the period (in days), log<sub>10</sub>(R<sub>p</sub>/R<sub>*</sub>), the transit duration (T<sub>IV</sub>-T<sub>I</sub> in days), and the impact parameter. It should be noted that there is no consistent ordering of the planets in the posterior samples (for example, in a three planet system parameters 5-9 may refer to planet b, planet c, or planet d). Therefore, planetary periods should be used as reference to identify candidates. All parameters and the nature of the transit model are described in detail in Mayo et al. (2018).</p> <p>Each subdirectory contains the input and output of the validation analysis conducted via the VESPA validation package (Morton 2012, 2015). For additional details please refer to the relevant citations or the <a href="https://github.com/timothydmorton/VESPA">VESPA github repository</a>. Each subdirectory is named after the appropriate candidate listed in Mayo et al. (2018; specifically Tables 5 and 7).</p>
A multi-resolution, multi-epoch low Radio Frequency Survey of the Kepler K2 Mission Campaign 1 Field
<p>Data abstract:</p> <p>Contained within are the MWA images used as input data for this study. The production and analysis of these images are described in the linked paper. The final catalogues and light curves are available from VizieR (http://vizier.cfa.harvard.edu/viz-bin/VizieR?-source=J/AJ/152/82).</p> <p>Paper abstract:</p> <p>We present the first dedicated radio continuum survey of a Kepler K2 mission field, Field 1, covering the North Galactic Cap. The survey is wide field, contemporaneous, multi-epoch, and multi-resolution in nature and was conducted at low radio frequencies between 140 and 200 MHz. The multi-epoch and ultra wide field (but relatively low resolution) part of the survey was provided by 15 nights of observation using the Murchison Widefield Array (MWA) over a period of approximately a month, contemporaneous with K2 observations of the field. The multi-resolution aspect of the survey was provided by the low resolution (4‧) MWA imaging, complemented by non-contemporaneous but much higher resolution (20″) observations using the Giant Metrewave Radio Telescope (GMRT). The survey is, therefore, sensitive to the details of radio structures across a wide range of angular scales. Consistent with other recent low radio frequency surveys, no significant radio transients or variables were detected in the survey. The resulting source catalogs consist of 1085 and 1468 detections in the two MWA observation bands (centered at 154 and 185 MHz, respectively) and 7445 detections in the GMRT observation band (centered at 148 MHz), over 314 square degrees. The survey is presented as a significant resource for multi-wavelength investigations of the more than 21,000 target objects in the K2 field. We briefly examine our survey data against K2 target lists for dwarf star types (stellar types M and L) that have been known to produce radio flares.</p>
The APO-K2 Catalog. I. ~7,500 Red Giants with Fundamental Stellar Parameters from APOGEE DR17 Spectroscopy and K2-GAP Asteroseismology
<p><strong>Abstract: </strong>We present a catalog of fundamental stellar properties for ~7,500 evolved stars, including stellar radii and masses, determined from the combination of spectroscopic observations from the Apache Point Observatory Galactic Evolution Experiment (APOGEE), part of the Sloan Digital Sky Survey IV (SDSS), and asteroseismology from K2. The resulting APO-K2 catalog provides spectroscopically derived temperatures and metallicities, asteroseismic global parameters, evolutionary states, and asteroseismically-derived masses and radii. Additionally, we include kinematic information from <em>Gaia</em>. We investigate the multi-dimensional space of abundance, stellar mass, and velocity with an eye toward applications in Galactic archaeology. The APO-K2 sample has a large population of low metallicity stars (~288 at [M/H] ≤ -1), and their asteroseismic masses are larger than astrophysical estimates. We argue that this may reflect offsets in the adopted fundamental temperature scale for metal-poor stars rather than metallicity-dependent issues with interpreting asteroseismic data. We characterize the kinematic properties of the population as a function of α-enhancement and position in the disk and identify those stars in the sample that are candidate components of the <em>Gaia-Enceladus</em> merger. Importantly, we characterize the selection function for the APO-K2 sample as a function of metallicity, radius, mass, νmax, color, and magnitude referencing Galactic simulations and target selection criteria to enable robust statistical inferences with the catalog.</p> <p><strong>Included Files:</strong></p> <ul> <li>The publicly available APO-K2 catalog, the is provided in the publication.</li> <li>The APO-K2 catalog without truncation to any numbers. </li> <li>The selection function relative density tables for the mass-radius parameter space. </li> <li>The selection function relative density tables for the metallicity-mass parameter space. </li> <li>The selection function relative density tables for the magnitude-color parameter space. </li> <li>The selection function relative density tables for the ν<sub>max</sub>-mag parameter space. </li> </ul>
Text-fig. 6. Megamphicyon carnutense (ANTUNES et GINSBURG, 1977), from Tuchořice, the Czech Republic, lower teeth. a: NMPv 11708, left p4, a1 – occlusal view, a2 – buccal view, a3 – lingual view; b: NM-Pv 11709, left p4, b1 – occlusal view, b2 – buccal view, b3 – lingual view; c: NM-Pv 11710, left m1, c1 – lingual view, c2 – occlusal view, c3 – buccal view; d: NM-Pv 11711, left m1, d1 – lingual view, d2 – occlusal view, d3 – buccal view; e: NM-Pv 11747, left m1–m3, e1 – occlusal view, e2 – lingual view, e3 – buccal view; f: NM-Pv 11713, left m2, f1 – lingual view, f2 – occlusal view, f3 – buccal view; g: NM-Pv 11714, left m2, g1 – lingual view, g2 – occlusal view, g3 – buccal view; h: NM-Pv 11718, right m2, h1 – lingual view, h2 – occlusal view, h3 – buccal view, h4 – distal view; i: NM-Pv 11716, left m2 in occlusal view; j: NM-Pv 11717, left m2, j1 – occlusal view, j2 – buccal view; k: NMPv 11696, right m2–m3, k1 – lingual view, k2 – buccal view, k3 – occlusal view. in The Amphicyoninae (Amphicyonidae, Carnivora, Mammalia) Of The Early Miocene From Tuchořice, The Czech Republic
Text-fig. 6. Megamphicyon carnutense (ANTUNES et GINSBURG, 1977), from Tuchořice, the Czech Republic, lower teeth. a: NMPv 11708, left p4, a1 – occlusal view, a2 – buccal view, a3 – lingual view; b: NM-Pv 11709, left p4, b1 – occlusal view, b2 – buccal view, b3 – lingual view; c: NM-Pv 11710, left m1, c1 – lingual view, c2 – occlusal view, c3 – buccal view; d: NM-Pv 11711, left m1, d1 – lingual view, d2 – occlusal view, d3 – buccal view; e: NM-Pv 11747, left m1–m3, e1 – occlusal view, e2 – lingual view, e3 – buccal view; f: NM-Pv 11713, left m2, f1 – lingual view, f2 – occlusal view, f3 – buccal view; g: NM-Pv 11714, left m2, g1 – lingual view, g2 – occlusal view, g3 – buccal view; h: NM-Pv 11718, right m2, h1 – lingual view, h2 – occlusal view, h3 – buccal view, h4 – distal view; i: NM-Pv 11716, left m2 in occlusal view; j: NM-Pv 11717, left m2, j1 – occlusal view, j2 – buccal view; k: NMPv 11696, right m2–m3, k1 – lingual view, k2 – buccal view, k3 – occlusal view.
→ Fig. 9. Antiarchan fish Bothriolepis leptocheira jeremejevi (Rohon, 1900), Sosnogorsk locality, Sosnogorsk Formation, lowermost Famennian, anterior median dorsal (A–G) and posterior median dorsal (H–M) plates of the trunk armour. A. IG KSC 155/5 in dorsal (A1) and visceral (A2) views. B. IG KSC 155/108 in dorsal (B1) and visceral (B2) views. C. IG KSC 155/97 in dorsal view. D. IG KSC 155/113 in dorsal (D1) and visceral (D2) views. E. IG KSC 155/140 in dorsal (E1) and visceral (E2) views. F. Impression of the dorsal surface of IG KSC 155/42. G. IG KSC 155/44 in dorsal view. H. Fragment of IG KSC 155/7 in dorsal view. I. IG KSC 155/1 in dorsal (I1) and visceral (I2) views. J. IG KSC 155/71 in dorsal view. K. Slightly deformed IG KSC 155/70 in dorsal (K1) and visceral (K2) views. L. IG KSC 155/158 in dorsal view. M. IG KSC 155/157 in dorsal (M1) and visceral (M2) views. Abbreviations: ADL, anterior dorso-lateral plate; alr, postlevator thickening; AMD, anterior median dorsal plate; cf.ADL, cf.AMD, and cf.MxL, area overlapping ADL, AMD or MxL respectively; cr.tp, posterior transversal internal crest; dlg1 and dlg2, anterior and posterior oblique dorsal sensory line groove; dma, tergal angle; dmr, dorsal median ridge; f.retr, levator fossa; grm, ventral median groove; l, lateral corner; mvr, median ventral ridge; MxL, mixilateral plate; npn, postnuchal notch; oa.ADL, oa.MxL and oa.PMD, area overlapped by ADL, MxL or PMD respectively; pa, posterior corner; pma, posterior marginal area; PMD, posterior median dorsal plate; pr.p, posterior process of AMD; pr.pl, external postlevator process; prv2, posterior ventral process of dorsal wall of trunk armour; pt1 and pt2, anterior and posterior ventral pit; pua, posterior unornamented area of PMD; rf, "round fossula"; sna, supranuchal area; tb, ventral tuberosity. in A new assessment of the Late Devonian antiarchan fish Bothriolepis leptocheira from South Timan (Russia) and the biotic crisis near the Frasnian-Famennian boundary
→ Fig. 9. Antiarchan fish Bothriolepis leptocheira jeremejevi (Rohon, 1900), Sosnogorsk locality, Sosnogorsk Formation, lowermost Famennian, anterior median dorsal (A–G) and posterior median dorsal (H–M) plates of the trunk armour. A. IG KSC 155/5 in dorsal (A1) and visceral (A2) views. B. IG KSC 155/108 in dorsal (B1) and visceral (B2) views. C. IG KSC 155/97 in dorsal view. D. IG KSC 155/113 in dorsal (D1) and visceral (D2) views. E. IG KSC 155/140 in dorsal (E1) and visceral (E2) views. F. Impression of the dorsal surface of IG KSC 155/42. G. IG KSC 155/44 in dorsal view. H. Fragment of IG KSC 155/7 in dorsal view. I. IG KSC 155/1 in dorsal (I1) and visceral (I2) views. J. IG KSC 155/71 in dorsal view. K. Slightly deformed IG KSC 155/70 in dorsal (K1) and visceral (K2) views. L. IG KSC 155/158 in dorsal view. M. IG KSC 155/157 in dorsal (M1) and visceral (M2) views. Abbreviations: ADL, anterior dorso-lateral plate; alr, postlevator thickening; AMD, anterior median dorsal plate; cf.ADL, cf.AMD, and cf.MxL, area overlapping ADL, AMD or MxL respectively; cr.tp, posterior transversal internal crest; dlg1 and dlg2, anterior and posterior oblique dorsal sensory line groove; dma, tergal angle; dmr, dorsal median ridge; f.retr, levator fossa; grm, ventral median groove; l, lateral corner; mvr, median ventral ridge; MxL, mixilateral plate; npn, postnuchal notch; oa.ADL, oa.MxL and oa.PMD, area overlapped by ADL, MxL or PMD respectively; pa, posterior corner; pma, posterior marginal area; PMD, posterior median dorsal plate; pr.p, posterior process of AMD; pr.pl, external postlevator process; prv2, posterior ventral process of dorsal wall of trunk armour; pt1 and pt2, anterior and posterior ventral pit; pua, posterior unornamented area of PMD; rf, "round fossula"; sna, supranuchal area; tb, ventral tuberosity.
Light Curve and Target Data for "M-Dwarf Flare Candidates Simultaneously Observed by K2 and TESS"
<p>This repository contains light curves and data from the study conducted in the research note titled "M-Dwarf Flare Candidates Simultaneously Observed by K2 and TESS".</p> <p>Each file contains a light curve (produced outputs from PyVAN (<a href="https://ui.adsabs.harvard.edu/abs/2019AJ....158..119L/abstract" rel="nofollow">https://ui.adsabs.harvard.edu/abs/2019AJ....158..119L/abstract</a>, <a href="https://github.com/kdlawson/pyvan">https://github.com/kdlawson/pyvan</a>), modfied to easily distinguish between K2/TESS data) for each target flagged with a flaring event. Files titled #T indicate TESS data and #K indicates K2 data. </p> <p>Overlap plots are included (titled Shape#) for those which were clearly defined by TESS, but not seen by K2.</p> <p>See Table 1 for specific target identification and measurements.</p> <p>Targets 11, 20, 27, and 28 saw K2 detections that we believe to be false positives based on lack of structure and substanstial supporting evidence from TESS.</p> <p>Finally a .csv is included with the information for all targets observed in this study.</p>
Raw target pixel files for TRAPPIST-1 from K2 Campaign 19
<p>The Kepler spacecraft observed the TRAPPIST-1 system from Sep 7th through Sep 26th, 2018, as part of its K2 Campaign 19. To help scientists explore these data quickly, the Kepler/K2 Guest Observer Office at NASA Ames reformatted the raw data into a <em>pseudo</em> Target Pixel Files using the Kadenza tool (https://doi.org/10.5281/zenodo.344973).</p> <p>For more information about these data, visit https://keplerscience.arc.nasa.gov.</p>
Fig. 8. A–D. Cambrotubulus conicus Missarzhevsky, specimen SMNH X3411, sample K2 in The tube wall of Cambrian anabaritids
Fig. 8. A–D. Cambrotubulus conicus Missarzhevsky, specimen SMNH X3411, sample K2/25. A. Broken wall with fibres arranged in bundles (?) and covered with a diagenetic phosphatic crust. B, C. Apertural lip with fibres below phosphatic crust. D. General view of the tube with growth lines and aperture (the arrows correspond to close−ups in A–C). E. Polished section of sample K2/26; back−scattered electron image, where brighter areas indicate higher densities. F. Close−up of E. Indicated in E and Fare: 1, matrix consisting of micritic calcite with low phosphate and argillaceous admixture; 2, matrix of internal mould of a bigger tube similar to matrix in 1, but lighter because of a higher phosphorus content; 3, matrix of internal mould of a smaller tube identical to 2; 4, protuberances of celestite (with barite) representing remains of a larger tube; 5, wall of a smaller tube consisting of celestite (with barite); 6, zone with a higher calcite content, the brightness of which is similar to that of the outside matrix in 1.
[K2(bimpm)NiMe2]2
<p>This contains the dataset for [K2(bimpm)NiMe2]2</p>
Text-fig. 4. Small mammals from Middle Pleistocene site of Yenişarbademli (Central Turkey). a–e – Microtus ex gr. arvalis-socialis: a – m1 and fragmentary m2 sin., EUNHM PV-13210; b – fragmentary m3 sin., EUNHM PV-13211; c – M3 dex., EUNHM PV- 13212a; d, e – fragmentary M3 dex., EUNHM PV-13212b, EUNHM PV-13212c; f – cf. Chionomys nivalis, M3 dex., EUNHM PV-13213; g–j – Lagurus transiens: g, h – fragmentary m1 sin., EUNHM PV-13214-13215; i – m2 sin., EUNHM PV-13216; j – fragmentary M2 dex., EUNHM PV-13217; k – Clethrionomys cf. acrorhiza, fragmentary m3 sin., EUNHM PV-13218 in labial (k2) and lingual (k3) views; l – Ochotona sp., non-pussiloid form, p3 dex., EUNHM PV-13219; m–o – Microtus cf. guentheri: m – fragmentary m1 sin., EUNHM PV-13220; n – m3 sin., EUNHM PV-13221; o – M3 dex., EUNHM PV-13222. Scales for occlusal (larger), and lateral (smaller) views equal 1 mm. in Plio-Pleistocene Amphibians And Reptiles From Central Turkey: New Faunas And Faunal Records With Comments On Their Biochronological Position Based On Small Mammals
Text-fig. 4. Small mammals from Middle Pleistocene site of Yenişarbademli (Central Turkey). a–e – Microtus ex gr. arvalis-socialis: a – m1 and fragmentary m2 sin., EUNHM PV-13210; b – fragmentary m3 sin., EUNHM PV-13211; c – M3 dex., EUNHM PV- 13212a; d, e – fragmentary M3 dex., EUNHM PV-13212b, EUNHM PV-13212c; f – cf. Chionomys nivalis, M3 dex., EUNHM PV-13213; g–j – Lagurus transiens: g, h – fragmentary m1 sin., EUNHM PV-13214-13215; i – m2 sin., EUNHM PV-13216; j – fragmentary M2 dex., EUNHM PV-13217; k – Clethrionomys cf. acrorhiza, fragmentary m3 sin., EUNHM PV-13218 in labial (k2) and lingual (k3) views; l – Ochotona sp., non-pussiloid form, p3 dex., EUNHM PV-13219; m–o – Microtus cf. guentheri: m – fragmentary m1 sin., EUNHM PV-13220; n – m3 sin., EUNHM PV-13221; o – M3 dex., EUNHM PV-13222. Scales for occlusal (larger), and lateral (smaller) views equal 1 mm.
K2 Simulation Data Set
<p>Simulation results of rainfall-runoff events over the upper Arroyo Seco Basin using KINEROS2 described in the paper "The timing and magnitude of changes to Hortonian overland flow at the watershed scale during the post-fire recovery process" by <strong>Tao Liu</strong><strong>, Luke A. McGuire, Haiyan Wei, Francis K. Rengers, Hoshin Gupta, Lin Ji, David C. Goodrich </strong>submitted to Hydrological Processes.</p>
Pseudo Target Pixel Files for K2 TRAPPIST-1 raw data
<p>The Kepler/K2 mission observed the newfound planet system TRAPPIST-1 using a 11x11 short-cadence mask with EPIC ID 200164267 from Dec 15th, 2016, through Mar 4th, 2017. To help the community explore this target, the Kepler/K2 Guest Observer Office at NASA Ames reformatted the raw data into a <em>pseudo</em> Target Pixel Files using the Kadenza tool (https://doi.org/10.5281/zenodo.344973).</p> <p>Important information about the raw data caveats is provided on the Guest Observer Office blog (https://keplerscience.arc.nasa.gov/raw-data-for-k2-campaign-12-and-trappist-1-now-available.html).</p>
Ancestral allele estimates for cattle using est-sfs software with the K2 model
<h1>Overview</h1> <p>The assignment of bovine ancestral alleles was based on a model comparison of alleles from cattle with alleles from outgroup species: Water Buffalo, Sheep, and White-Tailed Deer. </p> <p>The frequency of cattle alleles are determined using 79 representative individuals from 1000 Bull Genomics Project. We utilized multiple sequence alignments of 110 species (78 ruminants and 32 mammalian outgroup species), available from http://animal.omics.pro/code/index.php/RGD/loadByGet?address[]=RGD/Download/comSynDownload.php, to determine the alleles in Water Buffalo, Sheep, and White-Tailed Deer at each locus.</p> <p>We employed the est-sfs software with the K2 model to infer the probability (Pancs) of the major allele in cattle being ancestral. Alleles were determined to be ancestral if they were the major allele at a site with Pancs > 0.8 or the minor allele at a site with Pancs < 0.2.</p> <p>Please email bft990914@163.com for any queries.</p> <p>The columns of this dataframe are</p> <p>chrome: chromosome index.</p> <p>pos: physical location of SNV.</p> <p>cattle_ref: reference allele of cattle.</p> <p>cattle_alt: alternative allele of cattle.</p> <p>cattle_maj: major allele of cattle.</p> <p>water_buffalo: the sequence of water_buffalo.</p> <p>sheep: the sequence of sheep.</p> <p>white_tailed_deer: the sequence of white_tailed_deer.</p> <p>p_maj_anc: the probability of the major allele of cattle being ancestral.</p> <p>ancestral_allele: the inferred ancestral allele.</p>
A Photometric, Spectroscopic, and Apsidal Motion Analysis of the F-type Eclipsing Binary BW Aquarii from K2 Campaign 3
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018AJ....156....8L/abstract">Lester & Gies (2018)</a>. MESA version 10108.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/1538-3881/aac2ea">10.3847/1538-3881/aac2ea</a> </p>
10. K2-3d [Milky way Planets]
<p>10. K2-3d [Milky way Planets]</p> <p>In this video, visualization of K2-3d is carried out; various positions of K2-3d in the space</p>
K2 Campaign 2 observations of EPIC 203354381
<p>K2 Campaign 2 observations of the rapid rotator EPIC 203354381, 23 August 2014 to 10 November 2014. We downloaded the detrended light curve from the <a href="https://luger.dev/everest/catalog.html">EVEREST catalog</a> (Luger et al. 2016, AJ, 152, 100). This version excludes NaNs and 3<span class="math-tex">\(\sigma\)</span> flux outliers. In our paper <em>Optimal frequency-domain analysis for spacecraft time series: Introducing the missing-data multitaper power spectrum estimator, </em>we trimmed the first 50 observations in this data file before estimating the power spectrum; these observations record a stellar flare.</p>
Vitamin K2 Supplementation and Arterial Stiffness in the Renal Transplant Population (The KING Trial)
ClinicalTrials.gov study NCT02517580. IPD Sharing: Not stated. Countries: 1. Publications: 1.
EPIC212521166: a transiting planet candidate discovered in Campaign 6 data from the K2 Mission
<p>In the process of visually inspecting a random selection of targets with Kepler magnitude Kp<12 from K2 campaign 6, we identified EPIC 212521166 as a transiting planet candidate. </p> <p>The figure shows the K2 light curve of this object. The top and bottom panels show the SAP and PDC versions of the light curve, respectively. Both have been normalised by dividing them by their median, and only observations with null quality flag are shown.</p> <p> </p>
A comparative study between Vitamin K1 and K2 on vascular calcification in hemodialysis patients: a randomized controlled trial
<p><span><span><strong>Background: </strong>Vascular calcification is a common complication of end stage renal disease patients, an important cause of cardiovascular disease and all-cause mortality. Vitamin K is essential for the activation of matrix Gla protein (MGP), a powerful inhibitor of tissue calcification. Different forms of vitamin K have been proposed to have a good impact on vascular calcification. However, clinical data are still limited on efficacy and safety of different forms of vitamin K.</span></span></p> <p><span><span><strong>Methods : </strong>A prospective, randomized, placebo-controlled study that included 120 eligible hemodialysis patients who were randomly assigned to either vitamin k1 group (10 mg phytomenadione thrice weekly) or vitamin k2 group (90 ug daily) or placebo group for 3 months. Serum MGP, calcium, phosphorus, their product, and intact parathyroid hormone (iPTH) levels, were all assessed at baseline and at the end of the study.</span></span></p> <p><span><span><b>Results:</b> There were significant increase in percentages of change in MGP levels in Vitamin k2 group (700%) compared to (78%) in Vitamin k1 & (40%) in placebo groups. No correlations observed between calcium, phosphorous and PTH and MGP levels at baseline or after treatment. None of the treatment group patients experienced any adverse effects.</span></span></p> <p><span><span><strong>Conclusion: </strong>Vitamin k supplementation was tolerable and effective with k2 form showing superiority over k1 in their impact on MGP levels among hemodialysis patients.</span></span></p> <p><span><span><b>ClinicalTrials.gov registration number:</b><b> NCT04477811</b><b>.</b></span></span></p> <p><span><span> </span></span></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.