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2,318 results for “Synthesis”
Coloration of a point source in Wave Field Synthesis -- data
<p>This database entry contains stimuli and results from the experiments described in [1]. In the experiment different Wave Field Synthesis (WFS) systems synthesising a point source were rated in terms of their perceived coloration compared to a real point source. This was done for different audio material, namely pink noise, speech, and music and different listener positions. The different WFS systems consisted always of a circular loudspeaker array with a radius of 3m, but different number of employed loudspeakers. To control for the exact listening position, allow instantaneous switching between listening positions, and allow for very high numbers of loudspeakers in the WFS systems the experiment was performed with binaural synthesis without head tracking.</p> <p>The corresponding binaural room scanning (BRS) files for the binaural simulation can be found in the file `brs.zip`, the employed noise and speech stimuli in `stimuli.zip` (note that we cannot release the employed music stimulus, which was a twelve second clip from the electronic song “Luv deluxe” by “Cinnamon Chasers”). The file `results.zip` contains the results of all 16 listeners and the file analysis.zip` calculated average values and a plotting script.</p> <p>[1] Wierstorf, H., Hohnerlein, C., Spors, S., Raake, A. (2014), “Coloration in wave field synthesis,” 55th International Aes Conference, Paper 5-3</p>
Hardware Synthesis of Weakly Consistent C Concurrency
<p>Hardware Synthesis of Weakly Consistency C Concurrency</p> <p>This webpage contains additional material for the paper Hardware Synthesis of Weakly Consistent C Concurrency (FPGA17paper.pdf). </p> <p>Contents</p> <ol> <li>Verifying that our scheduling constraints implement the C11 standard</li> <li>Verifying the lock-free circular buffer</li> <li>Motivating examples</li> <li>Experimental Data</li> </ol> <p>1. Verifying that our scheduling constraints implement the C11 standard</p> <p>As explained in Section 4.4, we have used the Alloy tool to verify that our scheduling constraints are sufficient to implement the memory consistency model defined by the C11 standard. In alloy.zip, we provide the Alloy model files that we used. The first four are taken from Wickerson et al.'s work on comparing memory consistency models; the fifth is new.</p> <ul> <li>relations.als contains helper functions.</li> <li>exec.als encodes general program executions.</li> <li>exec_C.als encodes C11 program executions.</li> <li>c11.als encodes the constraints imposed by the C11 memory consistency model.</li> <li>question.als encodes our scheduling constraints, and several queries for checking that these scheduling constraints are strong enough to enforce the constraints required by the C11 memory consistency model.</li> </ul> <p>To reproduce our result, save the five files above into the same directory, download Alloy, open question.als in Alloy, and run the queries contained within.</p> <p>2. Verifying the lock-free circular buffer</p> <p>As explained in Section 5.1, we have used the CppMem tool to verify that our case-study application, a lock-free circular buffer, is free from data races. In order to make the verification feasible, we removed the while-loop, replaced the array variable with a scalar, removed some unimportant local variables, and simplified the increment function. Below, we give the actual code that we verified.<br> <br> int main() {<br> atomic_int tail = 0;<br> atomic_int head = 0;<br> int arr = 0;<br> {{{ {<br> int chead = head.load(memory_order_acquire);<br> int ctail = tail.load(memory_order_relaxed);<br> if (ctail+1 != chead) {<br> arr = 42;<br> tail.store(ctail+1, memory_order_release);<br> }<br> } ||| {<br> int ctail = tail.load(memory_order_acquire);<br> int chead = head.load(memory_order_relaxed);<br> if (ctail != chead) {<br> arr;<br> head.store(chead+1, memory_order_release);<br> }<br> } }}}<br> return 0;<br> }</p> <p>To reproduce our result, paste the code above into CppMem's web interface and click Run. The tool should report (after a couple of minutes) that the code has 92 candidate executions, of which two are consistent, neither of which exhibit data races.</p> <p>3. Motivating Examples</p> <p>We provide the actual code that displays coherence and message-passing violation in motivating-examples.zip, as described in Section 2 of our paper. These examples have been tested and verified on LegUp's VM. For convenience, we have included the output logs of each experiment for viewing. We include a "transcript" of the execution and a schedule trace, which can be visualised using LegUp's scheduleviewer.</p> <p>4. Experimental Data</p> <p>We also provide the raw experiment data from Section 5 of our paper. We conduct two experiments, for which we provided raw data on all seven design points.</p> <ul> <li>chaining.csv contains the raw data for the chaining experiment.</li> <li>bursting.csv contains the raw data for the bursting experiment.</li> <li>The version number are from 1 to 7 for Unsound, SC, OMP criticals, SC atomics, Weak atomics, Mutexes and OMP atomics respectively.</li> </ul>
Research data supporting "Synthesis of hetero-bifunctional, end-capped oligo-EDOT derivatives"
<p>Raw research data supporting the paper "Synthesis of hetero-bifunctional, end-capped olido-EDOT derivatives", Chem, Volume 2, Issue 1, p125–138, 12 January 2017 by C. Spicer <em>et al</em>.</p>
XRD raw data for synthesis of Zr3Al1-xSixC2 MAX phases
<p>XRD raw data for synthesis of Zr3Al1-xSixC2 MAX phases as published in "Experimental synthesis and density functional theory investigation of radiation tolerance of Zr3(Al1-xSix)C2 MAX phases". Journal of the American Ceramic Society (2017). DOI: 10.1111/jace.14742</p>
Dataset supplementing Lichtenberg et al. (2017) A global synthesis of the effects of diversified farming systems on arthropod diversity within fields and across agricultural landscapes. Global Change Biology
<p>This dataset contains data and scripts that supplement the publication</p> <p>Lichtenberg et al. (2017) A global synthesis of the effects of diversified farming systems on arthropod diversity within fields and across agricultural landscapes. Global Change Biology. DOI: 10.1111/gcb.13714</p> <p> </p> <p>Please cite the above article if you use any of the included data or code.</p> <p> </p> <p>Files are described in README.md.</p>
Research data supporting "One-pot synthesis of multiple protein-encapsulated DNA flowers and their application in intracellular protein delivery"
<p>Research data supporting the publication:</p> <p>Eunjung Kim, Limor Zwi-Dantsis, Natalie Reznikov, Catherine S. Hansel, Shweta Agarwal, and Molly M. Stevens, <strong>One-Pot Synthesis of Multiple Protein-Encapsulated DNA Flowers and Their Application in Intracellular Protein Delivery, </strong>2017, Adv Mater,<strong> </strong>DOI:<strong> </strong>10.1002/adma.201701086.</p> <p> </p> <p> </p>
Research data supporting "Enzyme Prodrug Therapy Engineered into Electrospun Fibers with Embedded Liposomes for Controlled, Localized Synthesis of Therapeutics"
<p>Research data supporting the publication: Chandrawati R. et al., 2017, Enzyme Prodrug Therapy Engineered into Electrospun Fibers with Embedded Liposomes for Controlled, Localized Synthesis of Therapeutics, Advanced Healthcare Materials. DOI: 10.1002/adhm.201700385</p>
Data for H Wierstorf, Perceptual Assessment of Sound Field Synthesis, PhD thesis, TU Berlin, (2014)
<p>This publication contains data that was used to generate figures in the thesis:</p> <p>H. Wierstorf, Perceptual Assessment of Sound Field Synthesis, PhD thesis, TU Berlin, (2014), http://dx.doi.org/10.14279/depositonce-4310</p> <p>The code to generate all the figures is available at https://github.com/hagenw/phd-thesis excluding the data provided by this data set. The data contains no measured data, but the result of numerical simulations for which the actual code to generate it, is also part of the repository at github.</p>
ThermoScenes: Multimodal Neural Radiance Fields for Thermal Novel View Synthesis
<p>Thermal+RGB dataset for ThermoNeRF</p>
The chart of rapid population synthesis codes
<p>A simplified chart of the current state-of-the-art population synthesis codes. </p> <h3>Chart Interpretation</h3> <p><strong>The river</strong> of the maps indicates detailed stellar evolution codes and stellar evolution tracks:</p> <ul> <li>STARS (<a href="https://ui.adsabs.harvard.edu/abs/2011ascl.soft07008E/abstract">Eggleton et al., 2011, Astrophysics Source Code Library</a>)</li> <li>MESA (<a href="https://ui.adsabs.harvard.edu/abs/2011ApJS..192....3P/abstract">Paxton et al., 2011, ApJS, 192, 3</a>)</li> <li>PARSEC (<a href="https://ui.adsabs.harvard.edu/abs/2012MNRAS.427..127B/abstract">Bressan et al., 2012, MNRAS, 427, 127</a>)</li> <li>FRANEC (<a href="https://ui.adsabs.harvard.edu/abs/2008Ap%26SS.316...25D/abstract">Degl'Innocenti et al., 2008, Astrophys.Space Sci., 316, 25</a>)</li> <li>BASTI (<a href="https://ui.adsabs.harvard.edu/abs/2013A%26A...558A..46P/abstract">Pietrinferni et al., 2013, A&A, 558, 46</a>)</li> <li>GENEC (<a href="https://ui.adsabs.harvard.edu/abs/2008Ap%26SS.316...25D/abstracthttps://ui.adsabs.harvard.edu/abs/2008Ap%26SS.316...43E/abstract">Eggenberger et al., 2008, Astrophys.Space Sci., 316, 43</a>)</li> <li>BRUSSELS (<a href="https://ui.adsabs.harvard.edu/abs/2004NewAR..48..861D/abstract">De Donder & Vanbeveren, 2004, New Astron.Rev. 48, 861</a>)</li> <li>BEC (<a href="https://iopscience.iop.org/article/10.1086/308158">Heger et al., 2000, ApJ, 528, 368</a>)</li> </ul> <p><strong>The cities </strong>represent rapid population synthesis codes and their vicinity to a given (or multiple) rivers indicates that the stellar evolution recipes are taken from that stellar evolution code or track. </p> <p>In particular, the codes in the <strong>BSE island </strong>follow stellar evolution by fitting equations based on the <a href="https://ui.adsabs.harvard.edu/abs/1998MNRAS.298..525P/abstract">Pols+98 </a>stellar tracks made with the code STARS:</p> <ul> <li>BSE (<a href="https://ui.adsabs.harvard.edu/abs/2002MNRAS.329..897H/abstract">Hurley et al., 2002, MNRAS, 329, 897</a>)</li> <li>MOBSE (<a href="http://dx.doi.org/10.1093/mnras/sty1999">Giacobbo N. & Mapelli M., 2018, MNRAS, 480, 2011</a>)</li> <li>BSEEMPH (<a href="https://arxiv.org/pdf/2110.10846">Tanikawa, A., 2022, AJ, 926, 83</a>)</li> <li>STAR TRACK (<a href="https://ui.adsabs.harvard.edu/abs/2008ApJS..174..223B/abstract">Belczynski K., et al., 2008, ApJS, 174, 223</a>)</li> <li>COSMIC (<a href="http://dx.doi.org/10.3847/1538-4357/ab9d85">Breivik K. et al., 2020, ApJ, 898, 71</a>)</li> <li>BINARY_C (<a href="http://dx.doi.org/10.1051/0004-6361:20066129">Izzard R. G., 2006, A&A, 460, 565</a>)</li> <li>COMPAS (<a href="http://dx.doi.org/10.3847/1538-4365/ac416c">Riley J. et al., 2022, ApJS, 258, 34</a>)</li> <li>SEBA (<a href="https://ui.adsabs.harvard.edu/abs/1996A%26A...309..179P/abstract">Portegies Zwart S. F. & Verbunt F., 1996, A&A, 309, 179</a>)</li> <li>BSELEVELC (<a href="https://academic.oup.com/mnras/article/511/3/4060/6484809">Kamlah A. W. H. et al., 2022, MNRAS, 511, 4060</a>)</li> </ul> <p>Within the BSE island there are the <strong>Triple Peaks mountains</strong> referring to code implementing also formalisms for triple or multiple system evolutions. The one I am aware of all uses the BSE-like formalism for stellar and binary evolution and they are represtend by <strong>towers</strong> in the mountains:</p> <ul> <li>TSE (<a href="https://ui.adsabs.harvard.edu/abs/2022MNRAS.516.1406S/abstract">Stegmann et al., 2022, MNRAS, 516, 1406</a>)</li> <li>TRES (<a href="https://ui.adsabs.harvard.edu/abs/2022MNRAS.516.1406S/abstract">Toonen et al., 2017, AAS, 229, 326</a>)</li> <li>MSE (<a href="https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.4479H/abstract">Hamers et al., 2021, MNRAS, 502, 4479</a>)</li> <li>TRIPLE_C (<a href="https://ui.adsabs.harvard.edu/abs/2013MNRAS.430.2262H/abstract">Hamers et al., 2013, MNRAS, 430, 2262</a>)</li> </ul> <p>The cities on the <strong>Interpolator lakes </strong>are codes that include stellar evolution by interpolating a set of stellar tracks, so in principle, they are not connected to any specific stellar evolution codes. The cities are anyway arranged to reflect stellar evolution models that have been mostly used in connection with the code (e.g. PARSEC and MESA for SEVN, MESA for MIST, BRUSSELS for COMBINE):</p> <ul> <li>SEVN (<a href="https://ui.adsabs.harvard.edu/abs/2023MNRAS.524..426I/abstract">Iorio et al., 2023, MNRAS, 524, 426</a>)</li> <li>COMBINE (<a href="http://dx.doi.org/10.1093/mnras/sty2190">Kruckow M. et al., 2018, MNRAS, 481, 1908</a>)</li> <li>METISSE (<a href="http://dx.doi.org/10.1093/mnras/staa2264">Agrawal P. et al., 2020, MNRAS, 497, 4549</a>)</li> <li>MINT (<a href="https://doi.org/10.1093/mnras/stad2048">Mirouh et al., 2023, MNRAS, 524, 3978</a>)</li> <li>TRILEGAL (<a href="https://ui.adsabs.harvard.edu/abs/2005A%26A...436..895G/abstract">Girardi L., et al., 2005, 436, 895</a>)</li> </ul> <p>The other cities present on the map indicate the codes:</p> <ul> <li>STARBUST99 (<a href="https://ui.adsabs.harvard.edu/abs/1999ApJS..123....3L/abstract">Leitherer, C. et al., 1999, ApJS, 123, 3</a>)</li> <li>IBIS (<a href="http://dx.doi.org/10.1093/mnras/280.4.1035">Tutukov A. & Yungelson L., 1996, MNRAS, 280, 1035</a>)</li> <li>SCENARIO_MACHINE (<a href="https://ui.adsabs.harvard.edu/abs/1996A%26A...310..489L/abstract">Lipunov V. M. et al., 1996, A&A, 310, 489</a>)</li> </ul> <p>The STARBUST99 code focuses mostly on modelling the spectroscopic properties of galaxies and uses the Geneva stellar evolution models. For the the last two codes, I was not able to find a direct connection to any of the known stellar evolution codes, therefore I put them somewhere close to a Glacier and I put a Dragon to refer to the famous sentence "hic sunt dracones" to indicate my ignorance about the details of the two codes.</p> <p><strong>The three codes represented by ships</strong> are population synthesis codes that hybrid between detailed stellar and binary evolution models and population synthesis. They are located on the rivers related to the detailed codes they are based on:</p> <ul> <li>BRUSSELS pop synth (<a href="https://ui.adsabs.harvard.edu/abs/2004NewAR..48..861D/abstract">Donder & Vanbeveren, 2004, New Astron.Rev. 48, 861</a>)</li> <li>BPASS (<a href="http://dx.doi.org/10.1017/pasa.2017.51">Eldridge et al., 2017, PASA, 34, e058</a>)</li> <li>POSYDON (<a href="http://dx.doi.org/10.3847/1538-4365/ac90c1">Fragos T. et al., 2023, ApJS, 264, 45</a>)</li> </ul> <h3>Disclaimer</h3> <p>The map represents an oversimplification for the sake of visualisation. The order of names, their fontsizes and relative locations, and possible Typos and errors do not have any specific meaning and do not "hide" any personal opinion of the authors. </p> <p>If you want to suggest changes, additions or ask to remove a given code please send me an email at giuliano.iorio.astro@gmail.com</p>
Reproduction Package (VirtualBox Image) for the POPL 2024 Article `Enhanced Enumeration Techniques for Syntax-Guided Synthesis of Bit-Vector Manipulations`
<p>This is the artifact for the ACM PACMPL article <i>Enhanced Enumeration Techniques for Syntax-Guided Synthesis of Bit-Vector Manipulations</i>. We provide our artifact as an easy-to-use VirtualBox image, which contains the benchmarks, our tools for bit-vector synthesis, and the scripts for generating the results showcased in the paper.</p>
Synthesis of [Mim][OTf]-TiO2 catalyst - NCN project OPUS, grant no. 2020/37/B/ST8/00693.
<p>Dataset contains results obtained during the NCN project OPUS, grant no. 2020/37/B/ST8/00693. The file presents the synthetic procedure of [Mim][OTf]-TiO2 catalyst.</p>
Dataset for publication "Deposition of Sn-Zr-Se precursor by thermal evaporation and PLD for the synthesis of SnZrSe3 thin films"
<p>This dataset entails various structural material data that was used to provide additional evidence for arguments presented in publication "Deposition of Sn-Zr-Se precursor by thermal evaporation and PLD for the synthesis of SnZrSe3 thin films". </p><p>Mainly data consists of: SEM, XRD, Raman, Auger and TGA raw data.</p><p>Summary of results is provided in Extended_data.pdf file </p>
Chemoselective Lipase-Catalyzed Synthesis of Amido Derivatives from 5-Hydroxymethylfurfurylamine
<p>The acylations of furfurylamine and 5-hydroxymethylfurfurylamine (HMFA) have been studied finding immobilized <i>Candida antarctica</i> lipase B (CALB) as an ideal biocatalyst. CALB was used immobilized on two different supports (Novozyme 435 and EziG-CALB), with the polymer-coated controlled porosity glass carrier material from EnginZyme being an excellent carrier to yield an active and stable enzymatic preparation for the acylation of the primary amine group. The amount of the acyl donor in the reaction was a key factor to achieve the mono- and chemoselective N-protection of HMFA with large excess of ethyl acetate leading to the formation of the N,O-diacetylated product. Thus, a series of 16 nonactivated esters were used to selectively modify the amine group of HMFA, obtaining 9 hydroxy amides under mild reaction conditions and with quantitative yields through chromatography-free transformations. The influence of substrate concentration was studied, resulting in complete conversions in all cases after 22 h (100–1000 mM). Excellent results were observed at 100 and 200 mM of HMFA, while higher concentrations led to longer reaction times and, to some extent, the formation of the diacetylated product (up to 7% after 22 h at 1 M). After this optimization, a metric analysis was performed to confirm the high sustainability of the presented process (<i>E</i>-factor of 1.1 excluding solvents) upon intensification of the biotransformation to 1 g at 200 mM HMFA concentration. The possibility of obtaining orthogonally protected HMFA-derived amido esters has been achieved through a clean and sequential one-pot process using EziG-CALB, which involved the use of ethyl methoxy acetate as the nonactivated ester for N-acylation and the activated vinyl acetate for O-protection.</p>
Dataset of article: Synthesis of Dendritic ZSM‑5 Zeolite through Micellar Templating Controlled by the Amphiphilic Organosilane Chain Length
<p>Data used for preparation of the article : Synthesis of Dendritic ZSM‑5 Zeolite through Micellar Templating Controlled by the Amphiphilic Organosilane Chain Length</p> <p> Abstract of article: </p> <p>The synthesis of ZSM-5 zeolites by hydrothermal crystallization of protozeolitic nanounits functionalized with amphiphilic organosilanes of different chain length (Cn-N(CH3)2-(CH2)3-Si- (OCH3)3, n = 10, 14, 18 and 22) has been investigated. Well developed dendritic nanoarchitectures were achieved when using C14 and C18 organosilanes, exhibiting a radial and branched pattern of zeolitic nanounits aggregates. In contrast, although C10 and C22 organosilanes led to materials with hierarchical porosity, they lack of dendritic features. These differences have been linked to the formation of an amorphous mesophase at the gel preparation stage for the C14 and C18 samples, in which the surfactant micelles are covalently connected with the protozeolitic nanounits through siloxane bonds. The presence of the dendritic nanostructure positively impacts both the textural and catalytic properties of ZSM-5 zeolite. Thus, ZSM-5 (C14) and ZSM-5 (C18) samples exhibit the largest contribution of mesoporosity in terms of both surface area and pore volume. On the other hand, when tested as catalysts in the aldol condensation of furfural with cyclopentanone, which is an interesting reaction for the production of sustainable jet fuels, the highest catalytic activity is attained over the dendritic ZSM-5 materials due to their remarkable accessibility and balanced Brønsted/Lewis acidity.</p>
A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies V1.1
<p>A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies. GSHA covers 21,568 watersheds from 13 agencies for as long as 43 years based on the discharge observations scraped from the web. GSHA includes yearly streamflow characteristics derived from daily discharge observations, daily meteorological variables (including precipitation, 2-m air temperature, long- and shortwave radiation, wind speed, actual and potential evapotranspiration (AET and PET)), daily or weekly water storage terms (4 layers of soil moisture, groundwater, and snow depth water equivalence), daily vegetation index (leaf area index (LAI)), yearly LULC characteristics (urban, cropland, and forest fraction), and yearly reservoir information (degree of regulation (DOR) and reservoir capacity). For each meteorological variable, multiple independent data sources are incorporated to provide uncertainty estimates. Static attributes like land physiography, soils, and geology are not additionally extracted, as similar efforts have been made by other researchers, so we directly matched our gauge locations to the HydroATLAS dataset by providing the river ID match table.</p> <p>For more details of GSHA, please refer to a companion research article submitted to ESSD.</p> <p>Please access the variables in version 1.0. Monthly streamflow indices files do not include Chinese basins.</p> <p>Citation: <strong> </strong>Yin, Z., Lin, P., Riggs, R., Allen, G. H., Lei, X., Zheng, Z., and Cai, S.: A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-256, in review, 2023.</p> <p> </p>
Distance functions of carabids in crop fields depend on functional traits, crop type and adjacent habitat: a synthesis
<p>Natural pest and weed regulation are essential for agricultural production, but the spatial distribution of natural enemies within crop fields and its drivers are mostly unknown. Using 28 datasets comprising 1,204 study sites across eight Western and Central European countries, we performed a quantitative synthesis of carabid richness, activity densities and functional traits in relation to field edges (i.e. distance functions). We show for the first time that distance functions of carabids strongly depend on carabid functional traits, crop type and, to a lesser extent, adjacent non-crop habitats. Richness of both predators and granivores and activity densities of small and granivorous species decreased towards field interiors, whereas the densities of large species increased. We found strong distance decays in maize and vegetables whereas richness and densities remained more stable in cereals, oilseed crops and legumes. We conclude that carabid assemblages in agricultural landscapes are driven by the complex interplay of crop types, adjacent non-crop habitats and further landscape parameters with great potential for targeted agroecological management. In particular, our synthesis indicates that a higher edge-interior ratio can counter the distance decay of carabid richness per field and thus likely benefits natural pest and weed regulation, hence contributing to agricultural sustainability.</p>
Supporting material for von Fromm et al (2024) Global synthesis of SOC abundance and persistence profile data
<p>This file contains the supporting material for von Fromm et al (2024) Controls and relationships of soil organic carbon abundance and persistence vary across pedo-climatic regions published in Global Change Biology (https://doi.org/10.1111/gcb.17320). </p> <p>The data comes originally from the International Soil Radiocarbon Database (ISRaD; <a href="https://soilradiocarbon.org/">https://soilradiocarbon.org/</a>). We filtered the data and applied a mass-preserving spline function. For more details see the corresponding manuscript and the github repository (https://github.com/SophievF/Global_SOC_Abundance_Persistence).</p>
Data from: Revised evolutionary and taxonomic synthesis for parrots (order: Psittaciformes) guided by phylogenomic analysis
<p>Parrots (Order: Psittaciformes) are a diverse clade that are easily distinguishable from other birds. Despite the clear characters that define the Psittaciformes (hooked bills, zygodactylous feet, and plumage that is often predominantly green or red), relative morphological uniformity among parrots has made taxonomic classification a fraught endeavor for over a century. Parrot systematics were propelled forward when DNA sequencing data shed insights into higher- and species-level relationships. However, despite these significant advances, major gaps in taxon sampling and uncertainty in relationships remained due to inferring phylogenetic relationships with short fragments of DNA. Recent work using genome-wide molecular markers with nearly complete parrot species-level sampling has brought clarity to many of the remaining outstanding questions on taxonomic relationships. Here, we build on this work by including four additional species to present a taxonomic revision of Psittaciformes better aligned with its evolutionary tree. We infer maximum likelihood and time-calibrated phylogenies for parrots, present accounts for 106 genera, compare how our findings relate to previous work, and highlight future areas of research. The family-group nomenclature we propose reflects deep evolutionary divergences with diagnosable synapomorphies that are commensurate across comparable ranks in psittaciform clades. We erect three new family-group names at the rank of tribe (Brotogerini Smith, Thom and Joseph, 2024; Neophemini Schodde, Smith, Thom and Joseph, 2024; Bolbopsittacini Smith, Thom and Joseph, 2024). We elevate one tribe to subfamily rank for the cacatuid genus <em>Probosciger</em> and we restrict usage of the recently introduced tribe Touitini to its type-genus <em>Touit</em>. At shallower taxonomic scales, recognition of more rather than fewer genera addresses issues of paraphyly or high discordance in morphological and genomic characters at those levels. We support many reinstatements of older generic names advocated in recent decades and we further reinstate five valid, available generic names not widely used in recent literature if at all (<em>Licmetis</em>, <em>Gymnopsittacus</em>, <em>Clarkona</em>, <em>Suavipsitta</em>, <em>Cardeos</em>). We advocate the retention of <em>Vini</em> Lesson, 1833 over <em>Coriphilus</em> Wagler, 1832 based on preliminary examination showing substantially more frequent usage of the former. We redraw generic limits in some other cases (e.g., <em>Bolborhynchus</em> parrotlets and allies) and this includes recognizing fewer genera than recently proposed for the <em>Psittacula</em> <em>sensu lato</em> ringneck parakeets. Our revised classification of parrots addresses many longstanding taxonomic questions including those that have arisen through the acquisition of genetic data. It provides context for the temporal origins of psittaciform clades and the taxonomic and phenotypic diversification throughout their evolutionary history. We hope that it will be a benchmark guiding further taxonomic study as well as for downstream analyses in many other fields.</p>
Dataset for article "W18O49 Nanowhiskers Decorating SiO2 Nanofibers: Lessons from In Situ SEM/TEM Growth to Large Scale Synthesis and Fundamental Structural Understanding" in Crystal Growth & Design, Des. 2024, 24, 1, 378–390
<p>Supported dataset for publication "W18O49 Nanowhiskers Decorating SiO2 Nanofibers: Lessons from In Situ SEM/TEM Growth to Large Scale Synthesis and Fundamental Structural Understanding" in Crystal Growth & Design Des. 2024, 24, 1, 378–390, https://doi.org/10.1021/acs.cgd.3c01094.</p> <p>The directory Data contains the figures (png, jpg), and vido (AVI) source data files for the manuscript.</p>
ScienceDex guides
Understand access before you commit
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.