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FIGURE 2. Rosa maximowicziana. A. Flowers. B in Is Rosa × archipelagica (Rosaceae, Rosoideae) really a spontaneous intersectional hybrid between R. rugosa and R. maximowicziana? Molecular data confirmation and evidence of paternal leakage
FIGURE 2. Rosa maximowicziana. A. Flowers. B. Fruits. Rosa × archipelagica. C. Flowering plants. Rosa rugosa. D. Flowers. E. Fruits. Scale bar: A–B, D–E = 5 cm; C = 10 cm. A, B, E: photo by Ivan Schanzer; C, D: photo by Elena Chubar.
FIGURE 1 in Is Rosa × archipelagica (Rosaceae, Rosoideae) really a spontaneous intersectional hybrid between R. rugosa and R. maximowicziana? Molecular data confirmation and evidence of paternal leakage
FIGURE 1. Sample locations: 1–Russkiy Island (max1, max2); 2–Popova Island (max5, rug3); 3–Poima River (max13); 4–Stenina Island (arc1, arc2, arc3, arc4, max10, max11, rug9, rug10); 5–Bolshoy Pelis Island (max8, max9, rug6, rug7, rug8); 6–Cape Astafyeva (rug11, rug12); 7–Posyet (max3, max4, rug2); 8–Krabbe Peninsula (max12); 9–Very Island (max7, rug5); 10–Kievka village, sea shore (rug4); 11–Kievka village, meadow (max6).
FIGURE 3 in Molecular characterization of hybrids in Carex (Cyperaceae) by cloning: Carex paniculata × remota (= C. × boenninghausiana)
FIGURE 3. Majority-rule consensus tree inferred under Bayesian inference using, concatenated matK-rps16 cpDNA regions. Numbers above and below the branches indicate clade support values: Bayesian posterior probability (if>0.90) and maximum parsimony bootstrap (if>70%), respectively. Asterisks represent nonsignificant support for clades in a given analysis.
FIGURE 1 in Molecular characterization of hybrids in Carex (Cyperaceae) by cloning: Carex paniculata × remota (= C. × boenninghausiana)
FIGURE 1. Studied specimens of the parent species Carex paniculata (Cyperaceae; UPOS-5055 (A)) and C. remota (UPOS-5057 (B)), and two out of the three individuals of C. × boenninghausiana included in this study (UPOS-5056 (C) and UPOS-5059 (D)). Scale bars (black lines) indicate 5 cm length.
FIGURE 1 in On the Romanian endemic species of Salvia (Lamiaceae) and its natural hybrids: nomenclatural and taxonomic aspects
FIGURE 1. Lectotype of Salvia pratensis var. transsylvanica, the basionym of Salvia transsylvanica (GOET038101).
FIGURE 1. A in Kalanchoe ×estrelae (Crassulaceae subfam. Kalanchooideae): a new nothospecies for the hybrid between K. luciae and K. sexangularis
FIGURE 1. A. Kalanchoe luciae, near Pretoria, Gauteng province, South Africa. B. Kalanchoe sexangularis var. sexangularis, near Mbombela, Mpumalanga, South Africa. C. Kalanchoe ×estrelae in cultivation in Pretoria. D. Inflorescence of K. ×estrelae. E. Comparison of the flowers of K. luciae (left), K. ×estrelae (center), and K. sexangularis var. sexangularis (right). Scale bar = 10 mm. F. Prof. Estrela Figueiredo for whom K. ×estrelae is named framed by spent inflorescences of K. sexangularis var. sexangularis. Photograph taken on 19 November 2017. All photographs taken by Gideon F. Smith.
FIGURE 6 in Laelia × meavei: A new natural hybrid between L. dawsonii fo. dawsonii and L. rubescens fo. peduncularis (Orchidaceae: Laeliinae) from Oaxaca, Mexico
FIGURE 6. Laelia rubescens fo. rubescens. A. Flower. B. Labellum, front view. C. Labellum, back view. D. Sepals and petals, front view. E. Ovary-pedicel, labellum and column, front view. F. Ovary-pedicel, labellum and column, back view. G. Ovary-pedicel, and column, front view. H. Column, front view. I. Column, back view (based on W. Cetzal 376, CICY).
FIGURE 4 in Laelia × meavei: A new natural hybrid between L. dawsonii fo. dawsonii and L. rubescens fo. peduncularis (Orchidaceae: Laeliinae) from Oaxaca, Mexico
FIGURE 4. Laelia dawsonii fo. dawsonii. A. Flower. B. Labellum, front view. C. Labellum, back view. D. Sepals and petals, front view. E. Ovary-pedicel, labellum and column, front view. F. Ovary-pedicel, labellum and column, back view. G. Column, front view. H. Column, lateral view. I. Anther cap and pollinarium (based on E.A. Pérez-García 308, AMO).
FIGURE 3 in Laelia × meavei: A new natural hybrid between L. dawsonii fo. dawsonii and L. rubescens fo. peduncularis (Orchidaceae: Laeliinae) from Oaxaca, Mexico
FIGURE 3. Plants of the natural hybrid and putative parents. A. Laelia dawsonii. B. Laelia × meavei. C. Laelia rubescens fo. peduncularis
FIGURE 1 in Laelia × meavei: A new natural hybrid between L. dawsonii fo. dawsonii and L. rubescens fo. peduncularis (Orchidaceae: Laeliinae) from Oaxaca, Mexico
FIGURE 1. Laelia × meavei Cetzal & E.A. Pérez-García. A. Flower. B. Labellum, front view. C. Labellum, back view. D. Sepals and petals, front view. E. Ovary-pedicel, labellum and column, front view. F. Ovary-pedicel, labellum and column, back view. G. Ovarypedicel, and column, front view. H. Column, front view. I. Column, back view. J. Anther cap and pollinarium (based on J.J. Pérez-Meza sub. G. Carnevali 7953, CICY).
FIGURE 5 in Laelia × meavei: A new natural hybrid between L. dawsonii fo. dawsonii and L. rubescens fo. peduncularis (Orchidaceae: Laeliinae) from Oaxaca, Mexico
FIGURE 5. Laelia rubescens fo. penducularis. A. Plant with flowers in habitat (Oaxaca, Mexico), B. Flowers, close up (Puerto Escondido, Oaxaca, Mexico) (based on G. Carnevali s.n., CICY).
Online Appendix of the Paper "The Power of Words in Agile vs. Waterfall Development: Written Communication in Hybrid Software Teams"
<h2>GENERAL INFORMATION</h2> <div>In our publication “<em><strong><a href="https://doi.org/10.1016/j.jss.2024.112243">The Power of Words in Agile vs. Waterfall Development: Written Communication in Hybrid Software Teams</a>,”</strong></em> in the Journal of Systems and Software, we present an exploratory case study conducted in a large software organization, AFAS Software. Our study investigates the influence of the development paradigm and the formality of communication channels on written communication within hybrid development teams. Our main research question is: <em>“<strong>How do the employed development paradigm and the formality of the communication channel impact the written communication content within hybrid software development teams?”</strong> </em>To address the main research question, we operationalize communication content through a coding scheme comprising codes derived from the Project Management Life Cycle (PMLC), the Software Development Life Cycle (SDLC), and speech acts types, which leads to the following sub-research questions:</div> <ul> <li><em>How do the employed development paradigm and the formality of the communication channel impact </em><em>the content of written communication pertaining to the Project Management Life Cycle phases? </em><em>(RQ1A & RQ1B)</em></li> <li><em>How do the employed development paradigm and the formality of the communication channel impact </em><em>the content of written communication pertaining to the Software Development Life Cycle phases? </em><em>(RQ2A & RQ2B)</em></li> <li><em>How do the employed development paradigm and the formality of the communication channel impact </em><em>the use of speech acts types in written communication? (RQ3A & RQ3B)</em></li> </ul> <div>To answer these research questions, we test the following hypotheses regarding the PMLC, the SDLC, and speech acts types:</div> <div> </div> <div><em><strong>The content of written communication within a development team</strong></em></div> <div> <ul> <li><strong>H1</strong>: is affected by the development paradigm. <ul> <li><strong>H1.1</strong>: in formal communication channels is affected by the development paradigm.</li> <li><strong>H1.2:</strong> in informal communication channels is affected by the development paradigm.</li> </ul> </li> </ul> </div> <div><em><strong>The content of written communication within</strong></em></div> <div> <ul> <li><strong>H2:</strong> a development team is affected by the formality of the communication channel. <ul> <li><strong>H2.1:</strong> a non-agile development team is affected by the formality of the communication channel.</li> <li><strong>H2.2:</strong> an agile development team is affected by the formality of the communication channel.</li> </ul> </li> </ul> </div> <div>This online appendix contains supplementary material to uphold transparency and facilitate the reproduction of the statistical analysis. For more information, refer to the publication:</div> <ul> <li>Section 2.5 for the projects sampling</li> <li>Section 2.6 for data extraction and preparation</li> <li>Section 2.7 for the coding scheme and data analysis</li> </ul> <p><strong>Software Dependencies: </strong></p> <ul> <li>PDF Viewer (e.g. Acrobat Reader)</li> <li>IBM SPSS</li> <li>Microsoft Excel</li> <li>Python</li> </ul> <h2>FILES OVERVIEW</h2> <h3>JSS Online Appendix</h3> <div>The root folder includes the <strong>“Project Teams Composition.pdf</strong><em><strong>”</strong></em> file, which contains the anonymized compositions of 20 project teams: 11 agile (PrAG) projects and 9 waterfall (PrWF) projects. This file lists the project team members involved in communication within the Microsoft Teams and Insite channels. </div> <h3>Subfolder “SPSS Files”</h3> <div>This subfolder includes the SPSS files, which contain the normality test and Mann-Whitney U Tests. </div> <div> <ul> <li><strong>Normality Test.spv</strong>: This file contains the results of the normality test.</li> </ul> </div> <div>We performed the normality test. In most cases, the significance of Shapiro-Wilk is below 0.05; thus, the data is not normally distributed and fails to meet the assumption for the t-test. We, therefore, opted for the Mann-Whitney U test, the non-parametric alternative of the t-test.</div> <div> </div> <div>The files below contain the results of Mann-Whitney U Tests, which are presented in Appendix A - Tables A.7 (a), A.8 (a), A.9 (a):</div> <ul> <li><strong>H1 - PrAG vs PrWF Product.spv</strong>: This file contains the results for hypothesis 1. </li> <li><strong>H1.1 - PrAG vs PrWF Formal.spv</strong>: This file contains the results for hypothesis 1.1.</li> <li><strong>H1.2 - PrAG vs PrWF Informal.spv</strong>: This file contains the results for hypothesis 1.2.</li> </ul> <div>The files below contain the results of Mann-Whitney U Tests, which are presented in Appendix A - Tables A.7 (b), A.8 (b), A.9 (b):</div> <ul> <li><strong>H2 - PrAG vs PrWF Formality.spv</strong>: This file contains the results for hypothesis 2.</li> <li><strong>H2.1 - PrWF Formal vs Informal.spv</strong>: This file contains the results for hypothesis 2.1.</li> <li><strong>H2.2 - PrAG Formal vs Informal.spv</strong>: This file contains the results for hypothesis 2.2.</li> </ul> <h3>Subfolder “Excel Files”</h3> <div>This subfolder includes the necessary files to perform calculations and the results of these calculations.</div> <ul> <li><strong>JSS Paper.xlsx</strong>: This file contains the absolute numbers, which are used as input for the calculations.</li> <li><strong>JSS-Statistics.py</strong>: This Python script uses the <strong>“</strong><strong>JSS Paper. xlsx<em>”</em></strong><em><strong> </strong></em>file to perform calculations based on the hypotheses for Project Life Cycle Management (PMLC), Software Development Life Cycle (SDLC), and Speech Acts.</li> </ul> <div>The files below contain the results of the calculations:</div> <ul> <li><strong>PMLC (RQ1A & RQ1B)_v1.xlsx:</strong> This file contains the results for the PMLC phases. The results are presented in Appendix A.1.</li> <li><strong>SDLC (RQ2A & RQ2B)_v1.xlsx:</strong> This file contains the results for the SDLC phases. The results are presented in Appendix A.2.</li> <li><strong>Speech Acts (RQ3A & RQ3B)_v1.xlsx:</strong> This file contains the results for the speech act types. The results are presented in Appendix A.3.</li> </ul> <h2>DATA ACCESS AND SHARING</h2> <div><strong>Recommended citation for this dataset:</strong> Ly, D., Overeem, M., Brinkkemper, S., Dalpiaz, F., 2024. Online Appendix of the Paper “The Power of Words in Agile vs. Waterfall Development: Written Communication in Hybrid Software Teams”. [Data set]. In The Journal of Systems and Software. Zenodo. doi: 10.5281/zenodo.13894086.</div> <div> </div> <div><strong>License information:</strong><em><strong> </strong></em>Creative Commons Attribution 4.0 International</div>
Fore-arc metasomatism by hybrid slab fluids during subduction initiation: Sr–Mg–Ca isotopes of rodingite, western Yarlung Zangbo suture zone
<p> Subduction zone metasomatism is critical for Earth’s material exchanges, yet understanding slab dehydration, particularly deserpentinization beneath fore-arcs, remains challenging. Here, we present Sr–Mg–Ca isotopic data for the Purang rodingites in the western Yarlung-Zangbo suture zone (YZSZ). These rodingites, dominated by amphibolite- to greenschist-facies minerals like tremolite, magnesiohornblende, and chlorite, exhibit cumulate textures and rare earth element patterns resembling troctolites or gabbronorites, presumably formed beneath a seafloor spreading center. The rodingites are enriched in large ion lithophile elements and depleted in high field strength elements. They show higher initial <sup>87</sup>Sr/<sup>86</sup>Sr ratios (0.7067–0.7075) and elevated δ<sup>26</sup>Mg values (–0.22 ± 0.07‰ to –0.13 ± 0.02‰) compared to pristine oceanic basalts, while their δ<sup>44/40</sup>Ca values (0.72 ± 0.02‰ to 0.87 ± 0.03‰) correspond to mid-ocean ridge basalts (MORB). These features imply fore-arc mantle metasomatism of an original MOR-derived protolith at <40 km slab depth, driven by Sr- and Mg-rich fluids from clay-rich sediments and serpentinitized mantle, respectively. The measured Sr and Mg isotope compositions can be reproduced by mixing a MORB-like protolith with hybrid fluids derived from 70–30% clays and 30–70% serpentinites, with a fluid-to-rock ratio of approximately 1:3–1:5. Combined with studies on YZSZ metamorphic soles, we propose this metasomatism occurred during incipient subduction of the Neo-Tethys oceanic rocks. Our studies highlight the significance of deserpentinization at shallow fore-arc mantle settings during subduction initiation and suggest that subducting slabs exhibit more varied dehydration characteristics than previously recognized.</p>
Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture
<p>Soil moisture is a key variable in the water, energy, and carbon cycles. Mapping sub-surface soil moisture with fine spatial resolution requires integrating downscaling approaches and process-based models. However, the effectiveness of hybrid methods, such as regression kriging (RK), in enhancing soil moisture estimates through process-based parameter predictions remains inconclusive. This study aims to integrate infiltration processes into downscaling models to predict 1-km multi-layer soil moisture, while comparing performance of nonlinear and linear models, and evaluating RK improvements. Random forests (RF) and generalized linear model (GLM) were used to downscale surface soil moisture (0–5 cm) from 36-km Soil Moisture Active Passive satellite products to 1 km across the Qinghai-Tibet Plateau. Next, the soil moisture analytical relationship (SMAR) model was applied to simulate infiltration processes and obtain site-scale parameters. RK variants (RFRK and GLMRK) were applied to jointly predict the spatial distribution of multiple infiltration parameters, which were used in SMAR at 1-km grids to estimate sub-surface soil moisture (5–40 cm). The results showed that parameter calibration significantly enhanced sub-surface soil moisture simulation, reducing root mean square error (RMSE) by 61.2% to 69.8%, from 0.09 to 0.03. RF outperformed GLM across all depth intervals, providing higher prediction accuracy (average RMSE, RF: 0.07; GLM: 0.09). Moreover, RK enhanced the Nash-Sutcliffe efficiency coefficient (RFRK: 0.34; GLMRK: 0.28) and coefficient of determination (RFRK: 0.5; GLMRK: 0.38) by 7.7%–13.3% and 2.2%–2.4%. This study provides a reference for mapping multi-layer soil moisture through the integration of data-driven and knowledge-driven approaches in regional-scale study areas.</p>
Dataset for "Fiber-Seismometer Hybrid Sensing for Seismic Imaging and Monitoring"
<p>The ambient noise dataset was collected on May 8, 2023, from a fiber-seismometer hybrid sensing deployment positioned along the Qiantang River in Hangzhou. The DAS data, Z-component and R-component data of seismometers are all stored in MAT format. Please refer to our study for detailed information on the dataset.</p> <p>Abstract about this study:</p> <p>Extreme climate events and geological disasters have intensified the urgency for advancing seismic imaging and monitoring. Despite developments in seismic instrumentation, particularly with seismometers and Distributed Acoustic Sensing (DAS), fine-scale observations remain challenging due to their inherent limitations and deployment configurations. This study introduces a novel hybrid sensing interferometry method that enhances multi-component signal extraction—especially poor horizontal components—through a two-step cross-correlation of DAS and seismometers. A field application near the Qiantang River in Hangzhou illustrates how our proposed framework retrieves high-quality multi-component empirical Green’s functions and advances ultra-short duration ambient noise seismic imaging techniques, including surface wave dispersion measurements and horizontal-to-vertical spectral ratio assessments. Our approach also facilitates monitoring of near-surface seismic velocity changes, dv/v, with an unprecedented 10-minute resolution, shedding light on shallow dynamic hydraulic responses. This innovative hybrid sensing framework offers new perspectives and methodologies for transforming future research in seismological observation, imaging, and monitoring. </p>
Hybrid Model Sample Data
<p>Sample data to illustrate the format in which the hybrid model expects the input and output data for training and inference. <a href="https://zenodo.org/api/records/14043079/draft/files/era5_y2003.tar.gz/content" target="_blank" rel="noopener noreferrer">era5_y2003.tar.gz</a> contains ERA5 data for atmospheric variables for the year 2003. <a href="https://zenodo.org/api/records/14043079/draft/files/era5_sst_y2003.tar.gz/content" target="_blank" rel="noopener noreferrer">era5_sst_y2003.tar.gz</a> contains ERA5 sea surface temperature data from 2003. <a href="https://zenodo.org/api/records/14043079/draft/files/era5_precip_y2003.tar.gz/content" target="_blank" rel="noopener noreferrer">era5_precip_y2003.tar.gz</a> contains ERA5 precipitation data for 2003. <a href="https://zenodo.org/api/records/14043079/draft/files/toa_isr_y2003.tar.gz/content" target="_blank" rel="noopener noreferrer">toa_isr_y2003.tar.gz</a> contains the top of the atmosphere incident solar radiation data. <a href="https://zenodo.org/api/records/14043079/draft/files/ohtc300.tar.gz/content" target="_blank" rel="noopener noreferrer">ohtc300.tar.gz</a> contains the ORAS5 heat content of the upper 300 m deep ocean. All data sets are regridded to the SPEEDY model grid.</p>
Novel formulations for developing fresh hybrid cheese analogues utilizing fungal-fermented brewery side-stream flours
<p>Datasets corresponding to the main and supplementary material of the research article "<span>Novel formulations for developing fresh hybrid cheese analogues utilizing fungal-fermented brewery side-stream flours</span> ". This research paper was a result of a scientific project which was part of the European Union's HORIZON 2020 with the acronym SMARTPROTEIN. </p>
Angle and Polarization Insensitive RCS Reduction Metasurface Based on Hybrid Mechanism of Polarization Conversion and Absorption
Open the record for dataset details and reuse information.
Transfemoral hybrid socket brim shapes
<p>This dataset was used to develop a standardized hybrid transfemoral socket brim set. The dataset was analysed by measuring the dimensions of the brims, to seek for correlations. The latter was identified using statistical analysis. </p> <p>The brims are manufactured by Papenburg Orthopaedics, Ravenstein, The Netherlands.</p>
Raw data for Tunable bioinspired microstructures with functional hybrid materials for self-disinfecting printable surface
<p>Set of data obtained using UV-VIS, SEM, XRD and FT-IR characterization techniques, as well as material in STL format developed for 3D printing design projection to meet the specific demands of the study.</p>
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International Brain Laboratory public data
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OpenNeuro
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