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opencc-by-4.0Sep 2024View details →

Development and survival of tadpoles and metamorphs of Rana temporaria in six boreal lakes in southern Finland

<p>We assessed the effect of water colour on the development of larval amphibian. Tadpoles of Rana temporaria were raised in experimental cages in 6 boreal lakes representing a gradient of water colour.</p> <p>The dataset includes the recording of the environmental variables in the lake during the experiment, morphometric variables for tadpoles and metamorphs, as well as tabulated data for survival analysis during the tadpole stage and to metamorphosis. The experiment took place from May to July 2023 in Evo Natural 2000 site in Finland.</p>

Geomorphological Patterns in a Megaripple Field in China's Qaidam Basin and Their Implications for Megaripple Development

<p>The morphological parameters and grain-size distribution data of megaripples are presented, along with the R code utilized for data processing and visualization.</p>

opennotspecifiedFeb 2022View details →

TABLE 1 in Description of the complete larval development of Lysmata amboinensis (De Man) (Decapoda: Lysmatidae) reared under laboratory conditions

<p><b>TABLE 1.</b> Comparison of selected morphological zoeal stages characters of <i>Lysmata</i> sp. Z—Zoea. Decap.—Decapodite. ZI, ZII, etc.—First zoea, second zoea, etc. Pl—Plumose seta. Si—Simple setae. NA —Not Available. a In ZV it wasn’t yet; b In ZIV it had almost reached it.</p><table><tbody><tr><th>Morphological feature</th><th><i>L. amboinensis</i></th><th><i>L. amboinensis</i></th><th><i>L. ensirostris</i></th><th><i>L. vittata</i></th><th><i>L. galapagensis</i></th></tr></tbody><tbody><tr><th></th><td>Present study</td><td>Wunsch 1996</td><td>Bensam&Kartha 1967; Pillai 1974</td><td>Yang&Kim 1999</td><td>Bartilotti <i>et al.</i> 2012</td></tr><tr><th></th><td>10 Z +1 decap.</td><td>11 Z</td><td>9 Z+1 decap.</td><td>9 Z</td><td>7 Z</td></tr><tr><th></th><td>Indian Ocean, Indo-Pacific, South Pacific Ocean, Mozambique Channel</td><td>Indo-Pacific, Red Sea, Atlantic Ocean</td><td>Indo-Pacific</td><td>Indo-Pacific</td><td>E Pacific</td></tr><tr><th>ZI, Total length, mm</th><td>2.8–2.98</td><td>2.70–2.80</td><td>1.89–2.23</td><td>NA</td><td>2.46–2.89</td></tr><tr><th>ZI, carapace length, mm</th><td>0.9–1</td><td>NA</td><td>NA</td><td>0.33–0.37</td><td>0.92–1.00</td></tr><tr><th>ZIV, carapace length, mm</th><td>0.64–1</td><td>NA</td><td>1.01</td><td>0.44</td><td>1.61–2.15</td></tr><tr><th>ZVII, carapace length, mm</th><td>0.84–1.42</td><td>NA</td><td>1.40–1.41</td><td>0.62–0.68</td><td>4.08–4.32</td></tr><tr><th>Last Z, carapace length, mm</th><td>ZX: 2.81–4.35</td><td>ZXI: NA</td><td>ZIX: 3.5</td><td>ZIX: 0.784–0.832</td><td>-</td></tr><tr><th>First Zoea:</th><td></td><td></td><td></td><td></td><td></td></tr><tr><th>Carapace: Pterigostomian spine</th><td>Present</td><td>Present</td><td>Present</td><td>Present</td><td>Present</td></tr><tr><th>Number of marginal denticles</th><td>3–5</td><td>3–4</td><td>3</td><td>3</td><td>4</td></tr><tr><th>Eyes sessile</th><td>Present</td><td>Present</td><td>Present</td><td>Present</td><td>Present</td></tr><tr><th>Antennule: peduncle and exopod</th><td>Entire</td><td>Entire</td><td>Entire</td><td>Entire</td><td>Entire</td></tr><tr><th>Antennal exopod: 5–6 articles</th><td>11Pl + 1Si</td><td>12Pl + 1Si</td><td>9Pl</td><td>10Pl + 1Si</td><td>11Pl + 1Si</td></tr><tr><th>Pair of dorsal spines on 5th pleomere</th><td>Present</td><td>Present</td><td>Present</td><td>Present</td><td>Present</td></tr><tr><th>Pleopods</th><td>Absent</td><td>Absent</td><td>Absent</td><td>Absent</td><td>Absent</td></tr><tr><th>Uropods</th><td>Absent</td><td>Absent</td><td>Absent</td><td>Absent</td><td>Absent</td></tr><tr><th>Older Zoeas:</th><td></td><td></td><td></td><td></td><td></td></tr><tr><th>Eyes stalked and pedunculate</th><td>ZII</td><td>ZII</td><td>ZII</td><td>ZII</td><td>ZII</td></tr><tr><th>Carapace without marginal denticles</th><td>ZVII</td><td>ZVII</td><td>ZV</td><td>ZIX</td><td>ZV</td></tr><tr><th>Carapace with cervical carinae</th><td>Absent</td><td>Absent</td><td>Absent</td><td>Absent</td><td>Absent</td></tr><tr><th>Rostrum first dorsal spine</th><td>ZVII</td><td>ZVI</td><td>ZIV</td><td>ZIII</td><td>ZII</td></tr><tr><th>Antennal exopod entire</th><td>ZIV</td><td>ZIV</td><td>ZV</td><td>ZIV</td><td>ZIV</td></tr><tr><th>First pereiopod:</th><td></td><td></td><td></td><td></td><td></td></tr><tr><th>Biramous bud</th><td>ZII (small bud: ZI)</td><td>ZII</td><td>ZII</td><td>ZII</td><td>ZI</td></tr><tr><th></th><td>Present study</td><td>Wunsch 1996</td><td>Bensam&Kartha 1967; Pillai 1974</td><td>Yang&Kim 1999</td><td>Bartilotti <i>et al.</i> 2012</td></tr><tr><th></th><td>10 Z +1 decap.</td><td>11 Z</td><td>9 Z+1 decap.</td><td>9 Z</td><td>7 Z</td></tr><tr><th></th><td>Indian Ocean, Indo-Pacific, South Pacific Ocean, Mozambique Channel</td><td>Indo-Pacific, Red Sea, Atlantic Ocean</td><td>Indo-Pacific</td><td>Indo-Pacific</td><td>E Pacific</td></tr><tr><th>Functional</th><td>ZIII</td><td>ZIII</td><td>ZIII</td><td>ZIII</td><td>ZII</td></tr><tr><th>Second pereiopod:</th><td></td><td></td><td></td><td></td><td></td></tr><tr><th>Biramous bud</th><td>ZIV</td><td>ZIV</td><td>ZIII</td><td>ZIII</td><td>ZIII</td></tr><tr><th>Functional</th><td>ZV</td><td>ZV</td><td>ZIV</td><td>ZV</td><td>ZIV</td></tr><tr><th>Third pereiopod:</th><td></td><td></td><td></td><td></td><td></td></tr><tr><th>Biramous bud</th><td>ZV</td><td>ZV</td><td>ZIV</td><td>ZIV (unir. rud)</td><td>ZV</td></tr><tr><th>Functional</th><td>ZVI</td><td>ZVI</td><td>ZV</td><td>ZVII</td><td>ZVI</td></tr><tr><th>Fourth pereiopod:</th><td></td><td></td><td></td><td></td><td></td></tr><tr><th>Biramous bud</th><td>ZVI</td><td>ZVI</td><td>ZV</td><td>ZIV (unir. rud)</td><td>ZV</td></tr><tr><th>Functional</th><td>ZVII</td><td>ZVII</td><td>ZVI</td><td>ZVIII</td><td>ZVI</td></tr><tr><th>Fifth pereiopod:</th><td></td><td></td><td></td><td></td><td></td></tr><tr><th>Uniramous bud</th><td>ZIII (small bud: ZII)</td><td>ZIII</td><td>ZIII</td><td>ZIII</td><td>ZI</td></tr><tr><th>Functional</th><td>ZIV</td><td>ZIV</td><td>ZIV</td><td>ZV</td><td>ZII</td></tr><tr><th>Pereiopods with paddled-like propodus</th><td><b>3</b> <b>rd</b><b>, 4</b> <b>th</b> <b>and 5</b> <b>th</b></td><td><b>3</b> <b>rd</b><b>, 4</b> <b>th</b> <b>and 5</b> <b>th</b></td><td>5th</td><td>5th</td><td>5th</td></tr><tr><th>5th pleomere without dorso-lat spines</th><td>ZVIII</td><td>ZIII</td><td>NA</td><td>ZV</td><td>NA</td></tr><tr><th>3rd pleomere with curved spine</th><td>Absent</td><td>Absent</td><td>Absent</td><td>Absent</td><td><b>Present</b></td></tr><tr><th>Pleopods:</th><td></td><td></td><td></td><td></td><td></td></tr><tr><th>Small buds</th><td>ZVIII</td><td>NA</td><td>-</td><td>ZV</td><td>ZVI</td></tr><tr><th>Biramous buds</th><td>ZIX</td><td>ZIX (day 40)</td><td>ZVII</td><td>ZVII</td><td>-</td></tr><tr><th>Differentiated protopod</th><td>ZX</td><td>ZX (day 80)</td><td>ZVIII</td><td>ZIX</td><td>ZVII</td></tr><tr><th>With <i>appendix interna</i></th><td>-</td><td>ZXI (day 120)</td><td>ZIX</td><td>-</td><td>NA</td></tr><tr><th>Telson margins laterally parallel</th><td>ZV</td><td>ZV</td><td>ZV</td><td>ZVII</td><td>ZV</td></tr></tbody></table><p>......continued on the next page</p><p>TABLE 1. (Continued)</p><p>......continued on the next page</p>

opencc-by-4.0May 2024View details →

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>

opencc-by-4.0Jun 2024View details →

Heat waves during egg development alter maternal care and offspring quality in the European earwig

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opencc-by-4.0May 2024View details →

The primitive endoderm supports lineage plasticity to enable regulative development

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Dataset for "Insect frass from upcycling vegetable by-products with cereals: effects on the soil properties, plant development and soil invertebrate fitness"

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opencc-by-4.0Aug 2024View details →

Soil Moisture Dominates the Land Surface Feedback in the Development of Compound Drought-Heat Extremes in Tropical South America (Part 3)

<p>This dataset is for a <em>JHM</em> (<em>Journal of Hydrometeorology</em>) paper, titled "<strong>Soil Moisture Dominates the Land Surface Feedback in the Development of Compound Drought-Heat Extremes in Tropical South America</strong>".</p>

opencc-by-4.0Aug 2024View details →

Soil Moisture Dominates the Land Surface Feedback in the Development of Compound Drought-Heat Extremes in Tropical South America (Part 2)

opencc-by-4.0Aug 2024View details →

Soil Moisture Dominates the Land Surface Feedback in the Development of Compound Drought-Heat Extremes in Tropical South America (Part 1)

A Cross-Continental Analysis of How Regional Cues Shape Developers' Stack Overflow Contributions – Replication Package

<p>Stack Overflow provides a wide range of knowledge for the software development community. Despite the importance of these platforms, several studies have shown that digital information tends to cluster geographically, which limits knowledge access that is otherwise necessary for innovation.</p> <p>The proposed study highlights the dynamics of users from different geographical backgrounds within Stack Overflow, which entails intra-country interactions, predominant topics of discourse, as well as their communication patterns. Finally, the study highlights that regional behavioural variations stem beyond cultural factors, encompassing technological advancement, entrepreneurial ventures, and workforce composition. </p> <p>This replication package is provided for those interested in further examining our research methodology.</p>

Exploring Developer Experience Factors in Software Ecosystems

<p><strong>Context: </strong>Developer experience (DX) plays a key role in developers' performance and their continued involvement in a software ecosystem (SECO) platform. While researchers and practitioners have recognized several factors affecting DX in SECO platforms, a clear roadmap of the most influential factors is still missing. This is particularly important given the direct impact on developers’ interest in SECO and their ongoing engagement with the common technological platform.<strong> </strong><strong>Goal:</strong> This work aims to identify key DX factors and understand how they influence software developers' decisions to adopt and keep contributing to a SECO. <strong>Methods: </strong>We conducted a systematic mapping study (SMS), analyzing 29 studies to assess the state-of-the-art of DX in SECO. Additionally, we conducted a Delphi study to evaluate the influence of 27 DX factors (identified in our SMS) from the perspective of 21 software developers to adopt and keep contributing to a SECO. <strong>Results:</strong> The factors that most strongly influence developers' adoption and ongoing contributions to a SECO are: "financial costs for using the platform", "desired technical resources for development", 'low barriers to entry into the applications market", and "more financial gains".<strong> Conclusion: </strong>DX is essential for the success and sustainability of SECO. Our set of DX factors provides valuable insights and recommendations for researchers and practitioners to address key DX concerns from the perspective of software developers.</p>

DeepCellMap: a Deep Learning Approach Coupled to Spatial Statistics to unravel Microglial Spatial Organization in the Developing Human Brain

<p>DeepCellMap is a deep-learning-assisted tool that integrates multi-scale image processing with advanced spatial and clustering statistics. This pipeline is designed to map microglial organization during normal and pathological brain development but can be adapted to any cell type.} Using DeepCellMap, we can capture the morphological diversity of microglia,  identify strong coupling between proliferative and phagocytic phenotypes, and show that distinct spatial clusters rarely overlap as human brain development progresses. Additionally, we uncover a novel association between microglia and blood vessels in fetal brains exposed to maternal SARS-CoV-2. These findings offer insights into whether various microglial phenotypes form networks in the developing brain to occupy space, and in conditions involving haemorrhages, whether microglia respond to, or influence changes in blood vessel integrity. DeepCellMap is available as open-source software and is a powerful tool for extracting spatial statistics and analyzing cellular organization in large tissue sections, accommodating various imaging modalities. </p>

NETTUNO Experiment 1 – Wake Development in Floating Wind Turbines

<p>This dataset, collected as part of the NETTUNO research project, includes measurements from wind tunnel tests on a 1:75 scale model wind turbine. The primary focus of the experiment was to analyze how platform motion in different directions affects the aerodynamics of the wind turbine rotor and the development of its wake. The dataset consists of two components:<br>•    Measurements of the aerodynamic forces and moments experienced by the rotor under various platform motion conditions.<br>•    Wind speed measurements collected at multiple downstream distances from the rotor, capturing the velocity profiles and turbulence characteristics within the turbine's wake.<br>The dataset is designed to serve as a comprehensive benchmark for researchers and engineers working on floating wind turbine aerodynamics, offering valuable insights for optimizing wind farm layouts and for developing simulation tools.</p>

Platynereis dumerilii germ cell development diagrams

<p>These are cartoons depicting Platynereis dumerilii germ cell development. </p>

Acceptance and Development of Quantum Computing in the Netherlands and Germany: Barriers and Remedies from a Multi-stakeholder Perspective}

<p>The repository contains the email sent to the candidates, the interview guide, the complete list of interview transcripts, the qualitative analysis performed with QDA Miner Lite,  the code books of the initial and final data analysis, and the excerpts from the interviews.</p>

Fig. 6 in Nutritional restriction triggers callose accumulation on the sieve plates of the funiculus of developing bean seeds

Fig. 6. Immunolocalization of callose in the sieve tube plates of the funiculus. The presence of callose in the sieve plates was evaluated in funiculus of normally developed seeds (N) of 23 and 25 DAA.Callose deposition was also evaluated in funicles of seeds that continued (L), or stopped their development (S) after three and five days after fruits of 20 DAA were detached from the plant. Panels A–C and G–I correspond to callose immunolocalization fluorescence (red), while panels D–F, and J–L show the bright field merged with callose immunolocalization fluorescence. Bar = 5 μm.

Fig. 2 in Nutritional restriction triggers callose accumulation on the sieve plates of the funiculus of developing bean seeds

Fig. 2. Effect of nutrient restriction on the quality of the mature seeds. Protein (A) and starch (B) content, protein characteristics (C) and germination (D) of mature seeds developed under normal conditions (full bars and NC) or in fruits removed from the plant at 20 DAA (gray bars and R). For protein and starch, bars are the average ± SD, n = 5 independent determination. For germination, n = 3.

Fig. 8 in Nutritional restriction triggers callose accumulation on the sieve plates of the funiculus of developing bean seeds

Fig. 8. Scanning electron microscopy images of the funiculus sieve plates. Sieve plates in the funiculus of normally (N) developed seeds of 23 (A) and 25 DAA (D), seeds that continued (L, panels B and E), and seeds that stopped their development (S, panels C and F) after the fruits had been detached from the plant for 3 and 5 days, respectively. Arrows indicate the progressive reduction in the pore size in the funiculus of seed that no longer developed in detached fruits. Bar = 0.5 μm.

Fig. 1 in Nutritional restriction triggers callose accumulation on the sieve plates of the funiculus of developing bean seeds

Fig. 1. Effect of nutrient restriction on bean seed development. Pod dry weight (A), number (B) and dry weight (C) of seeds produced by fruit, and dry weight of individual seeds (D). Dotted bar correspond to fruits at 20 DAA, full and gray bar indicate fruits that reached physiological maturity attached to the plant, or removed from the plant at 20 DAA and incubated in the dark at 25 ̊C for 30 days, respectively. Bars are the average ± SD, n = 100. *** and ** indicate significant difference at P <.001 and 0.01, respectively as calculated by ANOVA statistical analysis for A, Mann–Whitney test for B, and t test for C and D.