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1,363 results for “relevance”
Data and code for: "Improving the relevance of paleontology to climate change policy"
<p>Data and code for the article: "Improving the relevance of paleontology to climate change policy". [Link here]</p>
Supplementary run files for the paper "Learning Effective Representations for Retrieval using Self-Distillation with Adaptive Relevance Margins"
<p>TREC-Format run files of all trained models as supplementary material for the paper "Learning Effective Representations for Retrieval using Self-Distillation with Adaptive Relevance Margins".</p> <p>File naming follows the schema: <code>{model}-{loss variant}-{in-batch usage}-{dataset}.txt.gz</code></p>
A set of typical relevant exposure scenarios for nanoparticles in semiconductor industry (dataset)
<p>This is an Excel database part of Deliverable 1.3 "A set of typical relevant exposure scenarios for NP’s in semiconductor industry"</p> <p>https://www.zenodo.org/record/2538388</p> <p> </p>
Dataset for article Photodissociation of aliphatic PAH derivatives under relevant astrophysical conditions
<p>The experimental data are provided in subfolders by species, which contain each three files:<br> (i) the normalized intensities (Eq. 1 in the article) for the mass peaks corresponding to the parent cation and its fragments as a function of the VUV irradiation time,<br> (ii) the experimental error bars associated with these intensities,<br> (iii) the curves corresponding to the fitting functions that were derived with the procedure described in Sect. 2.4.</p> <p>Each folder is named by the parents species:<br> Pyr+ for pyrene (C16H10+),<br> H6-Pyr+ for 1,2,3,6,7,8-hexahydro-pyrene (C16H16+),<br> MePyr+ for 1-methylpyrene (C17H12+),<br> EtPyr+ for 4-ethyl-pyrene (C18H14+),<br> Cor+ for coronene (C24H12+),<br> MeCor+ for methyl-coronene (C25H14+),<br> EtCor+ for ethyl-coronene (C26H16+).</p> <p>In addition, the VUV_source folder contains the measurements corresponding to the VUV source calibration (see Fig. A.1 in the article appendix).</p> <p>The folder for TD-DFT calculations gathers the calculated photoabsorption cross-sections for all species of interest (see Fig. D.1 in the article appendix).</p>
Document-to-document relevant assessment for TREC Genomics Track 2005
<p>Here we present a table with document-to-document relevance assessment judgements on a subset of the TREC Genomics Track 2005 which corresponds to document-to-topic relevance assessments. This data was produced by four annotators to make it possible to analyze inter-annotator agreements as part of our future work. The data was produced with and in-house annotation tool tailored to the initial TREC data and the task at hand. The "raw data document evaluation" contains six columns, first row consecutive id, second original TREC topic, third PubMed Id used as reference document, fourth PMID used to evaluate the relevance wrt the reference document, fifth the relevance score (2 definitely relevant, 1 partially relevant, 0 non-relevant), and sixth annotator id.</p> <p> </p> <p><strong>Acknowledgements</strong></p> <p>This work is part of the STELLA project funded by DFG (project no. 407518790). This work was supported by the BMBF-funded de.NBI Cloud within the German Network for Bioinformatics Infrastructure (de.NBI) (031A532B, 031A533A, 031A533B, 031A534A, 031A535A, 031A537A, 031A537B, 031A537C, 031A537D, 031A538A).</p>
Fleiss kappa for doc-2-doc relevance assessment
<p>Here we present a table summarizing the Fleiss’ kappa results. The Fleiss’ Kappa was calculated as a way to measure the degree of agreement between four annotators who evaluated the relevance of a set of documents (15 evaluation articles) regarding its corresponding “reference article”. The table contains 7 columns, the first one presents the topics, 8 in total. The second column shows the “reference articles”, represented by their PubMed-ID and organized by topic. The third column shows the Fleiss’ Kappa results. The fourth column shows the interpretation of the Fleiss' Kappa results being: i) “Poor” results <0.20, ii) “Fair” results within 0.21 - 0.40, and iii) “Moderate” results within 0.41 - 0.60. The fifth column shows the PubMed-IDs of evaluation articles rated by the four annotators as “Relevant” regarding its corresponding “reference article”. The sixth column shows the PubMed-IDs of evaluation articles rated by the four annotators as “Partially relevant” regarding its corresponding “reference article”. The seventh column shows the PubMed-IDs of evaluation articles rated by the four annotators as “Non-relevant” regarding its corresponding “reference article”.</p> <p> </p> <p><strong>Acknowledgements</strong> <br> This work is part of the STELLA project funded by DFG (project no. 407518790). This work was supported by the BMBF-funded de.NBI Cloud within the German Network for Bioinformatics Infrastructure (de.NBI) (031A532B, 031A533A, 031A533B, 031A534A, 031A535A, 031A537A, 031A537B, 031A537C, 031A537D, 031A538A).<br> </p>
Appendices of the work "On the perceived relevance of critical internal quality attributes when evolving software features"
<p>Several refactorings performed while evolving software features aim to improve internal quality attributes like cohesion and complexity. Studies show that non-assisted refactorings might worsen, not improve, internal attributes. Current knowledge is scarce on how developers perceive the relevance of critical internal attributes while evolving features. Internal attributes are critical if their measurement assumes anomalous values. This qualitative study investigates the developer's perception on the relevance of critical internal attributes when evolving features. We target six class-level critical attributes: low cohesion, high complexity, high coupling, large hierarchy depth, large hierarchy breadth, and large size. We performed two industry case studies based on online focus group sessions. Developers discussed how much (and why) critical attributes are relevant for adding or enhancing features. We assessed the relevance of critical attributes individually and relatively, reasons behind the relevance of each critical attribute, and interrelations of critical attributes. Low cohesion and high complexity were perceived as very relevant because they often make evolving features hard while tracking failures and adding features. The other critical attributes were perceived as less relevant when reusing code or adopting design patterns. An example of perceived interrelation is high complexity leading to high coupling.</p>
Appendices of the work "On the perceived relevance of critical internal quality attributes when evolving software features"
<p>Several refactorings performed while evolving software features aim to improve internal quality attributes like cohesion and complexity. Studies show that non-assisted refactorings might worsen, not improve, internal attributes. Current knowledge is scarce on how developers perceive the relevance of critical internal attributes while evolving features. Internal attributes are critical if their measurement assumes anomalous values. This qualitative study investigates the developer's perception on the relevance of critical internal attributes when evolving features. We target six class-level critical attributes: low cohesion, high complexity, high coupling, large hierarchy depth, large hierarchy breadth, and large size. We performed two industry case studies based on online focus group sessions. Developers discussed how much (and why) critical attributes are relevant for adding or enhancing features. We assessed the relevance of critical attributes individually and relatively, reasons behind the relevance of each critical attribute, and interrelations of critical attributes. Low cohesion and high complexity were perceived as very relevant because they often make evolving features hard while tracking failures and adding features. The other critical attributes were perceived as less relevant when reusing code or adopting design patterns. An example of perceived interrelation is high complexity leading to high coupling.</p>
Analytical expressions for thermophysical properties of solid and liquid aluminum relevant for fusion applications
<p>Aluminum is being actively employed by the fusion community as a non-toxic chemical proxy to beryllium, since both materials form covalent hydrides, high-melting oxides as well as alloys with tungsten [1]. Characteristic examples include studies of in situ cleaning of diagnostic first mirrors [2,3], investigations of hydrogen retention or deposited layer formation [4,5] and experiments dedicated to sputtered material transport in diagnostic ducts [6]. Aluminum has also served as a surrogate for beryllium in high heat flux tests, given its low melting point and low mass density. Characteristic examples concern experiments on the interaction of adhered Al dust with transient and stationary plasmas carried out in Magnum-PSI [7] and the controlled melting of Al blocks exposed in the DIII-D divertor under steady L-mode discharge conditions using the DiMES manipulator [8]. In order to reliably model the macroscopic metallic melt motion realized in the sloped geometry Al L-mode exposures in the DIII-D divertor, the material library of the MEMENTO melt dynamics code, that previously concerned tungsten [9], beryllium [10], niobium [11,12] and iridium [11,12], has to be extended to aluminum.</p> <p>Reliable experimental data have been analyzed for the specific isobaric heat capacity, electrical resistivity, thermal conductivity, mass density, vapor pressure, latent heat of fusion, enthalpy of vaporization, work function, total hemispherical emissivity and absolute thermoelectric power from the room temperature up to the normal boiling point of aluminum as well as for the surface tension and the dynamic viscosity across the liquid state. Analytical expressions are recommended for the temperature dependence of these thermophysical properties, which involve high temperature extrapolations given the absence of extended liquid aluminum measurements. The analytical expressions, the details of their construction and the main references are included in the accompanying pdf.</p> <p>[1] L. Marot, C. Linsmeier, B. Eren, L. Moser, R. Steiner and E. Meyer, "Can aluminium or magnesium be a surrogate for beryllium: A critical investigation of their chemistry", Fus. Eng. Des. 88 (2013) 1718.<br> [2] A. Maffini, L. Moser, L. Marot, R. Steiner, D. Dellasega, A. Uccello, E. Meyer and M. Passoni, "In situ cleaning of diagnostic first mirrors: an experimental comparison between plasma and laser cleaning in ITER-relevant conditions", Nucl. Fusion 57 (2017) 046014.<br> [3] A. Litnovsky, V. S. Voitsenya, R. Reichle et al., "Diagnostic mirrors for ITER: research in the frame of International Tokamak Physics Activity", Nucl. Fusion 59 (2019) 066029.<br> [4] A. Kreter, T. Dittmar, D. Nishijima, R. P. Doerner, M. J. Baldwin and K. Schmid, "Erosion, formation of deposited layers and fuel retention for beryllium under the influence of plasma impurities" Phys. Scr. T159 (2014) 014039.<br> [5] C. Quirós, J. Mougenot, G. Lombardi, M. Redolfi, O. Brinza, Y. Charles, A. Michau and K. Hassouni, "Blister formation and hydrogen retention in aluminium and beryllium: A modeling and experimental approach", Nucl. Mater. Energy 12 (2017) 1178.<br> [6] N. A. Babinov, A. G. Razdobarin, I. M. Bukreev et al, "Three-dimensional modeling of sputtered materials transport in diagnostic ducts of fusion devices", Nucl. Fusion 62 (2022) 126004.<br> [7] S. Ratynskaia, P. Tolias, M. De Angeli, D. Ripamonti, G. Riva, D. Aussems and T. W. Morgan, "Interaction of adhered beryllium proxy dust with transient and stationary plasmas", Nucl. Mater. Energy 17 (2018) 222.<br> [8] D. L. Rudakov, T. Abrams, I. Bykov et al., "Controlled low-Z metal melting in the DIII-D divertor", Abstract submitted for the 19th International Conference on Plasma-Facing Materials and Components for Fusion Applications, 22-26 May 2023, Bonn, Germany.<br> [9] P. Tolias, "Analytical expressions for thermophysical properties of solid and liquid tungsten relevant for fusion applications", Nucl. Mater. Energy 13 (2017) 42.<br> [10] P. Tolias, "Analytical expressions for thermophysical properties of solid and liquid beryllium relevant for fusion applications", Nucl. Mater. Energy 31 (2022) 101195.<br> [11] P. Tolias, S. Ratynskaia and K. Paschalidis, "Thermophysical properties for the published article - Experiments and modelling on ASDEX Upgrade and WEST in support of tool development for tokamak reactor armour melting assessments", Zenodo. https://doi.org/10.5281/zenodo.6778824.<br> [12] S. Ratynskaia, K. Paschalidis, P. Tolias et al., "Experiments and modelling on ASDEX Upgrade and WEST in support of tool development for tokamak reactor armour melting assessments", Nucl. Mater. Energy 33 (2022) 101303.<br> </p>
Social contact patterns relevant for infectious disease transmission in Cambodia
<p>Social contact data from a community-based survey conducted in Cambodia in 2012. </p>
Simulated Geomorphically Relevant Palaeoclimate Variables for the Late Cenozoic (from Mutz and Ehlers, 2019)
<p><strong>Contents Description: (see more details in file header)</strong><br> The files contains long term means of several variables derived from an ECHAM5 palaeoclimate simulation. Details about the type of means and simulations are given in the file name (see explanation below). For information about the simulation setup and boundary conditions, we refer the user to the Mutz et al. (2018) publication. For details about the construction of contained variables, we refer the reader to the Mutz and Ehlers (2019) publication. Data package <em>alterm</em> contains long term annual means, whereas package <em>mlterm</em> contains long term monthly means. The variables included in the data packages are:</p> <p>- csfd: consecutive freezing days (days)<br> - fthd: freeze thaw days (days)<br> - cswd: consecutive wet days (days)<br> - csdd: consecutive dry days (days)<br> - t2am: 2m air temperature amplitude (°C)<br> - tsam: surface temperature amplitude (°C)<br> - pamp: precipitation amplitude (mm/day)<br> - pmax: maximum daily precipitation (mm/day)</p> <p><strong>Publications:</strong><br> <em>Derived Variables (contained in these files):</em><br> Mutz S.G. and Ehlers T. A. (2019). Detection and Explanation of Spatiotemporal Patterns in Late Cenozoic Palaeoclimate Change Relevant to Earth Surface Processes. Earth Surface Dynamics. doi.org/10.5194/esurf-7-663-2019</p> <p><em>Original Simulations:</em><br> Mutz S.G., Ehlers T. A., Werner M., Lohmann G., Stepanek C., Li J., (2018). Estimates of Late Cenozoic climate change relevant to Earth surface processes in tectonically active orogens. Earth Surface Dynamics. doi.org/10.5194/esurf-6-271-2018</p> <p><strong>Authors:</strong><br> Mutz S.G., Ehlers T. A.</p> <p><strong>License:</strong><br> This work is distributed under the Creative Commons Attribution 4.0 International License</p> <p><strong>Format:</strong><br> netCDF (.nc)</p> <p><strong>File Names (nc):</strong><br> [publication]_[experiment ID]_[time period]_[horizontal resolution][vertical resolution]_[means].nc<br> </p> <table> <tbody> <tr> <td>experiment ID</td> <td>usually a letter followed by 3-5 digits, e007_2 (pre-industrial), e008 (Mid-Holocene), e009 (Last Glacial Maximum), e010 (Pliocene)</td> </tr> <tr> <td>time period</td> <td>PI (pre-industrial), MH (Mid-Holocene), LGM (Last Glacial Maximum), PLIO (Pliocene)</td> </tr> <tr> <td>horizontal resolution</td> <td>spectral resolution, t followed by a number, e.g. t159</td> </tr> <tr> <td>vertical resolution</td> <td>number of vertical levels, l followed by a number, e.g. l31</td> </tr> <tr> <td>means</td> <td>alterm (annual long term means) or mlterm (monthly long term means)</td> </tr> </tbody> </table> <p><br> <strong>Correspondence:</strong><br> Sebastian G. Mutz (sebastian@sebastianmutz.com)</p> <p> </p>
Unveiling metastable ensembles of GRB2 and the relevance of interdomain communication during folding - available data.
<p>The folding process of multidomain proteins is a highly intricate phenomenon involving the assembly of distinct domains into a functional three-dimensional structure. During this process, each domain may fold independently while interacting with other domains to form a functional protein. The folding of multidomain proteins can be influenced by various factors, including the composition and structure of each domain or the presence of disordered linker regions, as well as the surrounding environment. Misfolding of multidomain proteins can lead to the formation of non-functional structures associated with a range of diseases, including cancers and neurodegenerative disorders. Understanding this process is an essential step for many biophysical analyzes, such as stability, interaction, malfunctioning, and rational drug design. One such multidomain protein is the growth factor receptor-bound protein 2 (GRB2), an adaptor protein essential in regulating cell survival. GRB2 consists of one central Src Homology 2 (SH2) domain flanked by two Src Homology 3 (SH3) domains. The SH2 domain interacts with phosphotyrosine regions in other proteins, while the SH3 domains recognize proline-rich regions on protein partners during cell signaling. In this study, we combined computational and experimental techniques to investigate the folding process of GRB2. We sampled the conformational space through computational simulations and mapped the mechanisms involved by calculating free energy profiles, indicating possible intermediate states. From the molecular dynamics and trajectories, we used the Energy Landscape Visualization Method (ELViM), which allowed us to visualize a three-dimensional representation of the overall energy surface. We identified two possible parallel folding routes that cannot be seen in a one-dimensional analysis, with one occurring more frequently during folding. Supporting these results, we used DSC and fluorescence spectroscopy techniques to confirm these intermediate states in vitro. Finally, we analyzed the deletion of domains to compare our model outputs with previously published results, supporting the presence of interdomain modulation. Overall, our study highlights the significance of interdomain communication within the GRB2 protein and its impact on the formation, stability, and structural plasticity, which are crucial for its interaction with other proteins in key signaling pathways.</p> <p> </p>
Let's talk about COVID-19 vaccination: relevance of conversations about COVID-19 vaccination and information sources on vaccination intention in Switzerland
<p>Data to replicate the publication "Let's talk about COVID-19 vaccination: relevance of conversations about COVID-19 vaccination and information sources on vaccination intention in Switzerland?". This publication examines how public information sources and conversations about COVID-19 are associated with COVID-19 vaccination intention. Multivariable logistic regression and mediation analysis using generalized structural equation modeling were applied.</p>
Quantitative results of the analysis of relevant components of the human scapholunate interosseous ligament (SLIL)
<p>This dataset corresponds to the quantification results carried out for the human scapholunate interosseous ligament (SLIL) and several control tissues analyzed in the manuscript entitled "Histological characterization of the human scapholunate ligament". The SLIL plays a fundamental role in stabilizing the wrist bones, and its disruption is a frequent cause of wrist arthrosis and disfunction. Traditionally, this structure is considered to be a variety of fibrocartilaginous tissue and consists of three regions: dorsal, membranous and palmar. Despite its functional relevance, the exact composition of the human SLIL is not well understood. In the present work, we have analyzed the human SLIL and control tissues from the human hand using an array of histological, histochemical and immunohistochemical methods to characterize each region of this structure. Results reveal that the SLIL is heterogeneous, and each region can be subdivided in two zones that are histologically different to the other zones. Analysis of collagen and elastic fibers, and several proteoglycans, glycoproteins and glycosaminoglycans confirmed that the different regions can be subdivided in two zones that have their own structure and composition. In general, all parts of the SLIL resemble the histological structure of the control articular cartilage, especially the first part of the membranous region (zone M1). Cells showing a chondrocyte-like phenotype as determined by S100 were more abundant in M1, whereas the zone containing more CD73-positive stem cells was D2. These results confirm the heterogeneity of the human SLIL and could contribute to explain why certain zones of this structure are more prone to structural damage and why other zones have specific regeneration potential. The original data obtained for the quantitative analyses of each component are shown in this dataset.</p>
Post-fire Variability in Siberian Alder in Interior Alaska: Distribution Patterns, Nitrogen Fixation Rates, and Ecosystem Consequences V - Releve 2015
This data set was collected as a part of Brian Houseman's MS Thesis, Post-fire Variability in Siberian Alder in Interior Alaska: Distribution Patterns, Nitrogen Fixation Rates, and Ecosystem Consequences (December 2017). Data include releve plant cover estimates (2015). Data were collected on study plots established across two burn scars (2004 Boundary Fire and 1971 Wickersham Dome Fire) within the Yukon-Tanana Uplands ecoregion of interior Alaska.
Post-fire Variability in Siberian Alder in Interior Alaska: Distribution Patterns, Nitrogen Fixation Rates, and Ecosystem Consequences VI - Releve Plots 2014
This data set was collected as a part of Brian Houseman's MS Thesis, Post-fire Variability in Siberian Alder in Interior Alaska: Distribution Patterns, Nitrogen Fixation Rates, and Ecosystem Consequences (December 2017). Data include releve plant cover estimates (2014). Data were collected on study plots established across two burn scars (2004 Boundary Fire and 1971 Wickersham Dome Fire) within the Yukon-Tanana Uplands ecoregion of interior Alaska.
spanichella/RP_EMSE_MCR_2019 v.1.0.1 Second release of of the replication Package for the paper "An Empirical Investigation of Relevant Changes and Automation Needs in Modern Code Review".
<p>Replication Package for the paper "An Empirical Investigation of Relevant Changes and Automation Needs in Modern Code Review"</p> <p>Structure</p> <pre><code>project_raw_data/ gerrit_review_comments.csv gerrit_review_changes.csv survey_raw_data/ google_forms_survey.pdf google_forms_survey.csv RQ1_taxonomy_mcr/ RQ1_inception_phase/ initial_taxonomy.pdf intermediate_taxonomy.pdf RQ1_definition_phase/ Q1.2_evaluation_survey.csv cram_classified.csv cram.pdf RQ2_automation_needs/ Q2.1-Q2.5_evaluation_survey.xlsx Q2.6-Q2.7_evaluation_survey.xlsx Q2.1-Q2.7_question_index.csv Now "RQ3_automated_support/" contain the results concerning RQ2.1 in the paper. content explained in the README.md file located in "RQ3_automated_support/README.md" </code></pre> <p>Contents of the Replication Package</p> <p><strong>project-raw-data/</strong> contains the data used for the creation of our taxonomies, it includes information about the ten open-source projects.</p> <ul> <li><code>gerrit_review_comments.csv</code> - information about all in-line review comments used for this paper</li> <li><code>gerrit_review_changes.csv</code> - information about all patches analyzed that contain the in-line comments</li> </ul> <p><strong>survey_raw_data/</strong> contains information about the survey conducted for the paper.</p> <ul> <li><code>google_forms_survey.pdf</code> - the distributed <em>Google Forms</em> of our survey</li> <li><code>google_forms_survey.csv</code> - all survey answers obtained from 52 survey participants</li> </ul> <p><strong>RQ1_taxonomy_mcr/</strong> contains information and data about the elicited taxonomies in our paper (RQ1).</p> <ul> <li><strong>RQ1_inception_phase/</strong> <ul> <li><code>initial_taxonomy.pdf</code> - initial taxonomy obtained in the inception phase of our paper</li> <li><code>intermediate_taxonomy.pdf</code> - intermediate taxonomy after integrating and merging the initial taxonomy with the one by Beller <em>et al</em> [1]</li> </ul> </li> <li><strong>RQ1_definition_phase/</strong> <ul> <li><code>Q1.2_evaluation_survey.csv</code> - relevant survey feedback with additional taxonomy categories integrated into <em>CRAM</em></li> <li><code>cram_classified.csv</code> - classified review comments (<code>gerrit_review_comments.csv</code>) into <em>CRAM</em></li> <li><code>cram.pdf</code> - <em>CRAM</em> taxonomy</li> <li><code>cram_classified_with_frequency_information2020.xls</code> - it contain the information used to compute the frequency of CRAM changes, derived by the analysis of the 211 commits</li> </ul> </li> </ul> <p><strong>RQ2_automation_needs/</strong> contains the encoded evaluation of the survey question Q2.1-2.7 for RQ2</p> <ul> <li><code>Q2.1-Q2.5_evaluation_survey.xlsx</code> - the encoded evaluation of the survey questions Q2.1-Q2.5 (used for the <em>Automation Needs</em> Section in the paper) and contains the following sheets: <ul> <li><strong>all Findings</strong>: Very detailed findings matrix distilled from all answers concerning possible automated solutions or general possibilities to achieve automation in MCR. Every feedback was analyzed and decomposed into single findings. These findings are grouped, into categories of our Taxonomy of Code Changes in MCR (CRAM). Red represent in the feedback-text where the corresponding category was distilled from.</li> <li><strong>unique Findings</strong>: As one participant could mention the same categories/solutions in multiple feedbacks, the following matrix is cleaned of any duplication of participant answers. Multiple feedbacks containing the same information by one participant were removed, leaving only distinct occurances.</li> <li><strong>aggregated by Solution</strong>: Aggregated feeback clustered into abstracted solutions and the number of times participants mentioned the solution.</li> <li><strong>aggregated by Taxonomy</strong>: Aggregated feeback grouped by low-level categoried in CRAM.</li> </ul> </li> <li><code>Q2.6-Q2.7_evaluation_survey.xlsx</code> - the encoded evaluation of the survey questions Q2.6-Q2.7 (used for the <em>Automation Needs</em> Section in the paper) and contains the following sheets: <ul> <li><strong>all Findings</strong>: Very detailed findings matrix distilled from all answers concerning possible techniques, approaches and data to achieve automation in MCR. Every feedback was analyzed and decomposed into single findings. These findings are grouped, into categories of our Taxonomy of Code Changes in MCR (CRAM). Red represent in the feedback-text where the corresponding category was distilled from.</li> <li><strong>unique Findings</strong>: As one participant could mention the same categories/solutions in multiple feedbacks, the following matrix is cleaned of any duplication of participant answers. Multiple feedbacks containing the same information by one participant were removed, leaving only distinct occurances.</li> <li><strong>aggregated by low-level taxonomy</strong>: Aggregated mentionings of approaches/data by developers in the survey grouped by low-level taxonomy category.</li> <li><strong>aggregated by high-level taxonomy</strong>: Aggregated mentionings of approaches/data by developers in the survey grouped by high-level taxonomy category.</li> </ul> </li> <li><code>Q2.1-Q2.7_question_index.csv</code> - table of IDs given to each participant-question pair for Q2.1-Q2.7 in order to trace back the feeback.</li> <li><code>cram_survey-with_criticality_and_feasibility2020.xls</code> and <code>cram_survey-with_relevance_and_completeness_information2020.xls</code>: they contain we results of the survey, involving 14 additional participants (12 developers and 2 researchers), not involved in the aforementioned survey, and performed to qualitatively assess the relevance and completeness of the identified MCR change types as well as assess how critical and feasible to implement are some of the identified techniques to support MCR activities.</li> </ul> <p><strong>RQ2_1_automated_support/</strong> (or <strong>RQ3_automated_support/</strong> )- content explained in the README.md file located in "RP_EMSE_MCR_2019/tree/master/EMSE_MCR_2019/RQ3_automated_support/README.md"</p> <p>References</p> <p>[1] Moritz Beller, Alberto Bacchelli, Andy Zaidman, and Elmar Juergens. 2014. Modern code reviews in open-source projects: which problems do they fix?. In Proceedings of the 11th Working Conference on Mining Software Repositories (MSR 2014). ACM, New York, NY, USA, 202-211. DOI: <a href="http://dx.doi.org/10.1145/2597073.2597082">http://dx.doi.org/10.1145/2597073.2597082</a></p>
Protein codes for tetrameric and dimeric 6-phosphogluconate dehydrogenases and their signature sequence relevant to the cofactor specificity in the 6PGDH family.
<p>Here we present the Uniprot or Genbank code for tetrameric and dimeric 6-phosphogluconate dehydrogenases collected from different organisms. Besides, we include the sequence of the <span class="math-tex">\(\beta2-\alpha2\)</span> motif regarding the cofactor specificity in the 6PGDH family. </p> <p>The sequence data allows generating a phylogenetic tree of the 6PGDH family. The enzymes cluster first by their oligomerization state and then by their sequence in the <span class="math-tex">\(\beta2-\alpha2\)</span> motif, as is shown in the annexed figure. </p>
Figs 19–22 in Larval chaetotaxy and morphometry of Oosternum costatum (Coleoptera: Hydrophilidae) including a discussion of larval characters with phylogenetic relevance
Figs 19–22. Chaetotaxy of third instar larva of O. costatum (LeConte, 1855). 19 – left maxilla, dorsal view; 20 – right stipes, dorsal view; 21 – left maxilla, ventral view; 22 – labium, ventral view (hypopharyngeal lobe not included). Scale bars = 0.02 mm.
Figs 5–8 in Larval chaetotaxy and morphometry of Oosternum costatum (Coleoptera: Hydrophilidae) including a discussion of larval characters with phylogenetic relevance
Figs 5–8. Chaetotaxy of first instar larva of O. costatum (LeConte, 1855). 5 – detail of clypeolabrum; 6 – left antenna, dorsal view; 7 – left mandible, dorsal view; 8 – right mandible, dorsal view. Scale bars = 0.01 mm.
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.