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20,299 results for “Systematic”
Fig. 8 in Integrative taxonomy helps to revise systematics and questions the purported cosmopolitan nature of the type species within the genus Diaforobiotus (Eutardigrada: Richtersiusidae)
Fig. 8 Diaforobiotus svalbardicus sp. nov.: bucco-pharyngeal apparatus seen in PCM: A dorsal projection of the entire bucco-pharyngeal apparatus; B, C dorsal (B) and ventral (C) views of the oral cavity armature; D, E dorsal (D) and ventral (E) view of macroplacoids. Empty arrows indicate dorsal spikes, filled flat arrowheads indicate the first band of teeth, empty flat arrowheads indicate the second band of teeth, filled indented arrowheads indicate the third band of teeth, empty indented arrowhead indicates the medial tooth in dorsal portion of the third band of teeth whereas filled arrows indicate constrictions in macroplacoids. Scale bars in μm
Fig. 4 in Integrative taxonomy helps to revise systematics and questions the purported cosmopolitan nature of the type species within the genus Diaforobiotus (Eutardigrada: Richtersiusidae)
Fig. 4 Diaforobiotus islandicus (Richters, 1904): eggs seen in PCM: A, C, E focus on egg processes; B, D, F focus on egg surface between processes. Pairs A–B, C–D, E–F represent three different eggs photographed with different focus. Filled flat arrowheads indicate rings of pores surrounding egg processes. Scale bars in μm
Fig. 6 in Integrative taxonomy helps to revise systematics and questions the purported cosmopolitan nature of the type species within the genus Diaforobiotus (Eutardigrada: Richtersiusidae)
Fig. 6 Diaforobiotus svalbardicus sp. nov.: habitus and cuticular pores seen in PCM: A adult habitus, dorso-ventral projection (holotype); B, C cuticular pores on dorsal and ventral side of the body, respectively (holotype). Filled flat arrowheads indicate cuticular bars above the claws in legs I–III. Scale bars in μm
Fig. 1 in Global systematic diversity, range distributions, conservation and taxonomic assessments of graylings (Teleostei: Salmonidae; Thymallus spp.)
Fig. 1 Map showing the global distribution range of Thymallus species. Information on sampling sites and species is given in Table S1. Numbers in the map refer to known contact zones of the following species: 1 = T. arcticus s.l. and T. baicalensis in the lower Enisei River; 2 = T. arcticus s.l. and T. baicalolenensis in the lower Lena River; 3 = T. nikolskyi and T. baicalensis in tributaries of the upper Ob River; 4 = T. baicalolenensis and T. baicalensis in tributaries of Lake Baikal; 5 = T. grubii, T. tugarinae
Supplementary material for "Business Process Simulation: A Systematic Literature Review"
<p>This material containing a list of the bibliographical data of the final sample and the sample of 300 publications before excluding publications outside of our focus supplements the following literature review:</p> <p>Rosenthal, Kristina; Ternes, Benjamin; Strecker, Stefan, (2018). “Business Process Simulation: A Systematic Literature Review”. In: Proceedings of the 26th European Conference on Information Systems (ECIS), Portsmouth, UK, June 23–28, 2018.</p>
Data for: A systematic review and meta-analysis of Drosophila short-term-memory genetics: robust reproducibility, but little independent replication
<p>All the data, code, analyses, and figures used in the study entitled: "A systematic review and meta-analysis of Drosophila short-term-memory genetics: robust reproducibility, but little independent replication" <em>(doi: https://doi.org/<a href="http://bb2sz3ek3z.search.serialssolutions.com/?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&__char_set=utf8&rft_id=info:doi/10.1101/247650&rfr_id=info:sid/libx&rft.genre=article">10.1101/247650</a>)</em></p> <p><strong>Abstract</strong></p> <p>Geneticists have long used olfactory conditioning techniques in <em>Drosophila</em> to identify the neurons and genes that mediate learning. While this method has characterized an abundance of memory-related genes, little is known about how these genes induce short-term memory (STM) via signaling pathways; characterizing these networks will be essential to developing mechanistic models of memory formation. Here, we investigated why elucidating the STM pathways has been relatively slow. One possibility is that the STM evidence base is weak due to publication of poorly reproducible results, as has been observed in other fields. We examined this hypothesis by performing a systematic review and subsequent meta-analysis of the STM genetics field. Using several metrics to quantify the variation between discovery articles and follow-up studies, we found that seven genes were highly replicated, showed no publication bias, and had generally high reproducibility. However, the remaining ~80% memory genes have not been replicated since their initial discovery. Although we observed only a few studies that investigated gene interactions, the reviewed genes could together account for >1000% memory. This large summed effect size indicates either that some of the gene findings are not reproducible, that many memory genes participate in shared pathways, or that current protocols lack the specificity needed to identify core plasticity memory genes. Mechanistic theories of memory and cognition will require the convergence of evidence from system, circuit, cellular, molecular, and genetic experiments. As this study demonstrates, systematic data synthesis is an essential tool for this integrated brain science.</p>
The development and evaluation of an online application to assist in the extraction of data from graphs for use in systematic reviews (data repository)
<p>These are the data we generated in our evaluation of the graphical user interface.</p> <p>Please see our publication on Wellcome Open Research for information about the evaluations.</p>
Dataset for "Overall Survival after Treatment for Metastatic Uveal Melanoma: A Systematic Review and Meta-Analysis"
<p>Raw data corresponding to the paper entitled: "<strong>Overall Survival after Treatment for Metastatic Uveal Melanoma: A Systematic Review and Meta-Analysis" </strong>published in <em>Melanoma Research</em> (2019) by Rantala <em>et al. </em></p>
Evolution of the number of articles published in the area of business dedicated to systematic reviews or narrative reviews (2003-2018)
<p>This figure shows the evolution of systematic reviews in business management (2003-2018). It is part of the Editorial for Journal of Contemporary Administration (Revista de Administração Contemporânea), Volume 23, Number 2, 2019. There this figure is presented.</p>
Evidence-based orthodontics: Too many systematic reviews, too few trials
<p>Dataset for the figure of the paper, constructed with Stata using the code:</p> <p>twoway (line p_rct year, sort)(line p_sr year, sort),ylabel(0(1)7) xlabel(2007(1)2017)</p>
Quality and Success in Open Source Software: A Systematic Mapping
<p>Reference_List.pdf includes all of the articles that is related with the study, "Quality and Success in Open Source Software: A Systematic Mapping".</p> <p>Reference_List2.pdf includes one part of Reference_List (37 articles) and all of the articles that included in the study, "A Review on the Relation of Quality and Success in Open Source Software".</p>
Systematic assessment of burst impurity in confocal-based single-molecule fluorescence detection using Brownian motion simulations - photon timetag simulation files
<p>Attached are the photon timestamp and channels simulated for different 3D diffusing molecules simulations at different conditions (simulation was performed by PyBroMo).</p> <p>Each of the files has, in its name, a code. The meaning of the codes are as following:</p> <pre>f32445 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a numerical PSF model </pre> <pre>a01f8f - 15 molecules at a concentration of 31 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a numerical PSF model</pre> <pre>9ff667 - 15 molecules at a concentration of 15.5 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a numerical PSF model</pre> <pre>71154a - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 22.5 micron^2/s - 60 second simulation using a numerical PSF model</pre> <pre>ad926d - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 5.625 micron^2/s - 60 second simulation using a numerical PSF model</pre> <pre>1ab235 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s - 180 second simulation using a numerical PSF model</pre> <pre>d00978 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 5.625 micron^2/s - 180 second simulation using a numerical PSF model</pre> <p> </p> <pre>2469bb - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a Gaussian PSF model </pre> <pre>4be121 - 15 molecules at a concentration of 31 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a Gaussian PSF model</pre> <pre>a7088f - 15 molecules at a concentration of 15.5 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a Gaussian PSF model</pre> <pre>023983 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 22.5 micron^2/s - 60 second simulation using a Gaussian PSF model</pre> <pre>653f61 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 5.625 micron^2/s - 60 second simulation using a Gaussian PSF model</pre> <pre>4f06ee - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s - 180 second simulation using a Gaussian PSF model</pre> <pre>dec32c - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 5.625 micron^2/s - 180 second simulation using a Gaussian PSF model</pre> <p> </p> <pre>85b0a1 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s , 10 of which belong to a sub-population with a mean FRET efficiency of 0.75, and the leftover 5 belong to another sub-populations with a mean FRET efficiency of 0.50 - 60 second simulation using a Numerical PSF model</pre> <pre>964ef3 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s , 10 of which belong to a sub-population with a mean FRET efficiency of 0.75, and the leftover 5 belong to another sub-populations with a mean FRET efficiency of 0.50 - 180 second simulation using a Numerical PSF model</pre> <p> </p> <pre>f28f6e - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s , 10 of which belong to a sub-population with a mean FRET efficiency of 0.75, and the leftover 5 belong to another sub-populations with a mean FRET efficiency of 0.50 - 60 second simulation using a Gaussian PSF model</pre> <pre>c311dd - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s , 10 of which belong to a sub-population with a mean FRET efficiency of 0.75, and the leftover 5 belong to another sub-populations with a mean FRET efficiency of 0.50 - 180 second simulation using a Gaussian PSF model</pre>
Data for the "Systematic mapping of protein-metabolite interactions in central metabolism of Escherichia coli"
<p>This dataset contains raw and processed NMR data used in the publication.</p>
Systematic screening of DMOF-1 with NH2, NO2, Br and azobenzene functionalities for elucidation of carbon dioxide and nitrogen separation properties
<p><strong>Publication:</strong> M. Xie. N. Prasetya and B. P. Ladewig, Systematic screening of DMOF-1 with NH2, NO2, Br and azobenzene functionalities for elucidation of carbon dioxide and nitrogen separation properties, Inorganic Chemistry Communications (2019).</p> <p><strong>Preprint:</strong> M. Xie. N. Prasetya and B. P. Ladewig, Systematic screening of DMOF-1 with NH2, NO2, Br and azobenzene functionalities for elucidation of carbon dioxide and nitrogen separation properties, Inorganic Chemistry Communications (2019), <a href="https://doi.org/10.26434/chemrxiv.8862239.v1">https://doi.org/10.26434/chemrxiv.8862239.v1</a></p> <p>Dataset supporting publication, including SEM images, optical microscope images, NMR spectra, data used in Figures, and full resolution figures as included in the manuscript.</p> <p><strong>Abstract:</strong> In this study, dabco MOF-1 (DMOF-1) with four different functional groups (NH<sub>2</sub>, NO<sub>2</sub>, Br and azobenzene) has been successfully synthesized through systematic control of the synthesis condition of their parent framework. The functionalised DMOF-1 is characterized using various analytical techniques including PXRD, TGA and N<sub>2</sub> sorption. The effect of the various functional groups on the performance of the MOFs for post-combustion CO<sub>2</sub> capture is evaluated. DMOF-1s with polar functional groups are found to have better affinity with CO<sub>2</sub> compared with the parent framework as indicated by higher CO<sub>2</sub> heat of adsorption. However, imparting steric hindrance to the framework as in Azo-DMOF-1 enhances CO<sub>2</sub>/N<sub>2</sub> selectivity, potentially as a result of lower N2 affinity for the framework. </p>
Systematic mapping data for translation-enabling technologies for sign languages
<p>These data correspond to the papers selected for a systematic mapping of that translation-enabling technologies for sign languages.</p>
Software Variability Tools: Industrial Survey and Systematic Mapping Study
<p>Software Variability Tools: Industrial Survey and Systematic Mapping Study</p>
Dataset: What Are Cybersecurity Education Papers About? A Systematic Literature Review of SIGCSE and ITiCSE Conferences
<p>This repository contains supplementary materials for the following conference paper:</p> <p>Valdemar Švábenský, Jan Vykopal, Pavel Čeleda.<br> <em>What Are Cybersecurity Education Papers About? A Systematic Literature Review of SIGCSE and ITiCSE Conferences.</em><br> In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE 2020).<br> <a href="https://doi.org/10.1145/3328778.3366816">https://doi.org/10.1145/3328778.3366816</a></p> <p>Preprint available at: <a href="https://arxiv.org/abs/1911.11675">https://arxiv.org/abs/1911.11675</a></p> <p><strong>How to cite</strong></p> <p>If you use or build upon the materials, please use the BibTeX entry below to cite the original paper (not only this web link).</p> <pre><code class="language-json">@inproceedings{Svabensky2020what, author = {\v{S}v\'{a}bensk\'{y}, Valdemar and Vykopal, Jan and \v{C}eleda, Pavel}, title = {{What Are Cybersecurity Education Papers About? A Systematic Literature Review of SIGCSE and ITiCSE Conferences}}, booktitle = {Proceedings of the 51st ACM Technical Symposium on Computer Science Education}, series = {SIGCSE '20}, location = {Portland, OR, USA}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, month = {03}, year = {2020}, pages = {2--8}, numpages = {7}, isbn = {978-1-4503-6793-6}, url = {https://doi.org/10.1145/3328778.3366816}, doi = {10.1145/3328778.3366816}, }</code></pre> <p><strong>Attached content</strong></p> <p>The file "SIGCSE 2020 Literature Review.xlsx" is an Excel spreadsheet with three sheets corresponding to 1) all papers found by automated search, 2) manually excluded papers, and 3) papers included in the literature review. There are also three CSV files that correspond to the three individual sheets.</p>
Fig. 8. Mastigograptus aff. tenuiramosus. A in The ultrastructure, development, and systematic position of the graptolite genus Mastigograptus
Fig. 8. Mastigograptus aff. tenuiramosus. A. Thecal base of Fig. 6B. Scale bar 50 µm. B, C. Fractured thecal bases, and occluded autotheca (arrowed) (ZPAL G.30/17). Scale bars: B, 100 µm, C, 50 µm. D. Thecal base on main stem, with occluded autotheca (arrowed), a needle preparation from ZPAL G.30/18. Scale bar 20 µm. E. Stem, looking obliquely proximally, with two thecal bases (ZPALG.30/15). Scale bar 200 µm. F, G, H. Successively more distal cross−sections of thecal bases. Scale bars 10 µm, 50 µm, 100 µm. I. Thecal base with occluded autotheca (ZPALG.30/17). Scale bar 50 µm. J. Diaphragm of stolonal triad in thecal base, looking proximally (ZPALG.30/15). Scale bar 10 µm. K. Stolotheca looking proximally with adjacent thecal base displaying astolothecaltriad,seeH(ZPALG.30/11).Scalebar200µm. L.Crassal,fusellarandcorticaltissuesinthecalbase(ZPALG.30/17).Scalebar5µm. M."E.T. head" of thecal base, with central occluded autotheca (ZPAL G.30/4). Scale bar 50 µm.
Fig. 4. Mastigograptus aff. tenuiramosus. A in The ultrastructure, development, and systematic position of the graptolite genus Mastigograptus
Fig. 4. Mastigograptus aff. tenuiramosus. A. Fractured wall of stolotheca. The head of a fusellus is arrowed (ZPALG.30/9). Scale bar 10 µm B, C. External ornament on stolothecae (ZPAL G.30/10). Scale bars 100 µm, 50 µm. D. Sectional view of stolonal triad on main stem, looking distally (ZPAL G.30/11). Scale bar 50 µm. E. Stolonal triad on main stem, looking proximally; diaphragm at base of occluded autotheca (arrowed) (ZPALG.30/12). Scale bar 50 µm. F. Base of diaphragm on main stem, looking distally, and showing two pores (ZPALG.30/13). Scale bar 10 µm. G. Portion of stem with monopodial branch to right. a, occluded first thecal base on branch, with short stolotheca. b, borings on main stem (ZPAL G.30/14). Scale bar 500 µm.
Fig.3. Mastigograptus aff. tenuiramosus. A in The ultrastructure, development, and systematic position of the graptolite genus Mastigograptus
Fig.3. Mastigograptus aff. tenuiramosus. A.Stipewiththickcortexandfracturedthecalbase.(ZPALG.30/4).Scalebar100µm. B.Occludedthecalbaseon proximal portion of stem (ZPALG.30/3). Scale bar 10 µm. C. Proximal portion of stem, with occluded sicula and first thecal base. (ZPALG.30/2). Scale bar 200 µm. D. Portion of stem with monopodial branch (ZPALG.30/5). Scale bar 2 µm. E. Fractured stolotheca; distal to left (ZPALG.30/6). Scale bar 50 µm. F. Fractured stem with thick cortex and borings (ZPALG.30/7). Scale bar 50 µm. G. Amphorate stolothecae, and broken thecal bases (ZPALG.30/4) Scale bar 1 mm. H. Amphorate stolotheca, looking proximally. (ZPAL G.30/8). Scale bar 100 µm. I. Stereopair view of thecal base (ZPAL G.30/4). Scale bar 100 µm.
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.