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18,621 results for “development;”
Рис. 3. Система Животных Ламарка [по: Ламарк, 1955]. in Contribution of Georges Cuvier and Jean-Baptiste de Lamarck to development of the system of Mollusca
Рис. 3. Система Животных Ламарка [по: Ламарк, 1955].
Replication data for "Learning When to Quit: An Empirical Model of Experimentation in Standards Development"
<p>This is the replication data for the article "Learning When To Quit: An Empirical Model of Experimentation in Standards Development," published in the <em>American Economic Journal: Microeconomics</em>. </p> <p>A detailed description of the data construction can be found in the Data Appendix (Section E in the Online Appendix published with the article's supplementary material).</p> <p>The file _readme-LWTQ-data.xls contains a description of the variables.</p> <p>If you use the data, cite the paper!</p> <p><strong>Ganglmair, Bernhard, Timothy Simcoe, and Emanuele Taranntino (2024): "Learning When To Quit: An Empirical Model of Experimentation in Standards Development," <em>American Economic Journal: Microeconomics</em>, forthcoming<em>.</em></strong></p>
Datasets Energy Citizenship Scale Development and Validation (Task 2.4, D2.2, D2.3)
<p>The datasets are part of the Reports on the development (D2.2) and validation (D2.3) of the energy citizenship scale. They are also part of the publication "Energy citizenship as people's perceived (collective) rights and responsibilities in a just and sustainable energy transition - scale development and validation" (https://doi.org/10.1016/j.jenvp.2024.102310). </p>
Applying short text topic models to instant messaging communication of software developers
<p>Content related to paper "Applying short text topic models to instant messaging communication of software developers" published in the Journal of Systems and Software.</p> <p><strong>Data available:</strong></p> <ul> <li>Data sets used: JSONs with messages from Gitter chat rooms (downloaded with previous Gitter API - <a href="https://developer.gitter.im/docs/welcome" rel="nofollow">https://developer.gitter.im/docs/welcome</a>): <ul> <li>"Android.json"</li> <li>"ConsenSys.json"</li> <li>"WebpackDocs.json"</li> <li>"Jenkinsci.json"</li> <li>"Locomotive.json"</li> <li>"SpringSecurity.json"</li> <li>"Flutter.rar" - json file was compressed due to its size</li> <li>"GitterHQ.rar" - json file was compressed due to its size</li> <li>"Laravel.rar" - json file was compressed due to its size</li> </ul> </li> <li>"stopwords_list": Customized list of stop words</li> <li>"topics_sttm_results.csv": Topics obtained with each combination of model and corpus (both lemmatized and stemmed corpora)</li> <li>"intrusion_tasks.csv": Results of the survey for the Intrusion Tasks and its participants' background</li> <li>"topicnaming_tasks.csv": Results of the survey for the Topic Naming Tasks and its participants' background</li> <li>"intrinsic_metrics.csv": Scores of topic coherence metrics at topic level ('average' represents the score at model level)</li> <li>"topics_themes_chatrooms.csv": Results of the exercise described in Section 5.2 with the topics and themes identified in each of the 87 Gitter chat rooms.</li> <li>"sensitivity_analysis": Results of a smaller-scale sensitivity analysis to check the impact of the number of topics on the main findings of the paper.</li> </ul>
Replication Package: The Past, Present, and Future of Research on the Continuous Development of AI
<p>Replication package for the publication regarding the <strong>The Past, Present, and Future of Research on the Continuous Development of AI.</strong></p> <p> </p> <p> </p>
Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines
<p>Modern artificial intelligence and machine learning workflows rely on efficient tensor libraries. However, tuning tensor libraries without considering the actual problems they are meant to execute can lead to a mismatch between expected performance and the actual performance. Einsum libraries are tuned to efficiently execute tensor expressions with only a few, relatively large, dense, floating-point tensors. But, practical applications of einsum cover a much broader range of tensor expressions than those that can currently be executed efficiently. For this reason, we have created a benchmark dataset that encompasses this broad range of tensor expressions, allowing future implementations of einsum to build upon and be evaluated against. In addition, we also provide generators for einsum expression and converters to einsum expressions in our repository, so that additional data can be generated as needed. The benchmark dataset, the generators and converters are released openly and are publicly available at <a href="https://benchmark.einsum.org" target="_blank" rel="noopener">https://benchmark.einsum.org</a>.</p> <p>The broader data collection process included contributions from individuals whose data was transformed. We duly acknowledge the following for making their data publicly available:</p> <ul> <li><strong>Fichte, Johannes; Hecher, Markus; Florim Hamiti</strong>: <a href="../records/10031810" rel="nofollow">Model Counting Competition 2020</a></li> <li><strong>Fichte, Johannes; Hecher, Markus</strong>: Model Counting Competition <a href="../records/10006441" rel="nofollow">2021</a> <a href="../records/10014715" rel="nofollow">2022</a> <a href="../records/10012822" rel="nofollow">2023</a></li> <li><strong>Fichte, Johannes; Hecher, Markus; Woltran, Stefan; Zisser, Markus</strong>: <a href="../records/1299752" rel="nofollow">A Benchmark Collection of #SAT Instances and Tree Decompositions</a></li> <li><strong>Meel, Kuldeep S.</strong>: <a href="../records/3793090" rel="nofollow">Model Counting and Uniform Sampling Instances</a></li> <li><strong>Automated Reasoning Group at the University of California, Irvine</strong>: <a href="https://github.com/dechterlab/uai-competitions">UAI Competitions</a></li> <li><strong>Martinis, John M. et al.</strong>: <a href="https://datadryad.org/stash/dataset/doi:10.5061/dryad.k6t1rj8" rel="nofollow">Quantum supremacy using a programmable superconducting processor Dataset. Dryad.</a></li> </ul> <p>Moreover, we thank the following authors of open source software used to generated instances:</p> <ul> <li><strong>Gray, Johnnie</strong>: <a href="https://quimb.readthedocs.io/en/latest/index.html" rel="nofollow">quimb</a>, <a href="https://cotengra.readthedocs.io/en/latest/" rel="nofollow">cotengra</a></li> <li><strong>Soos, Mate, Meel, Kuldeep S</strong>: <a href="https://github.com/meelgroup/arjun">Arjun</a></li> <li><strong>Stoian, Mihail</strong>: <a href="https://github.com/stoianmihail/Netzwerk">Netzwerk</a></li> <li><strong>Liu, Jinguo; Lua, Xiuzhe; Wang, Lei</strong>: <a href="https://github.com/QuantumBFS/Yao.jl">Yao.jl</a></li> <li><strong>Liu, Jinguo</strong>: <a href="https://github.com/QuantumBFS/YaoToEinsum.jl">YaoToEinsum.jl</a></li> </ul> <p> </p>
Habitat attributes mediate herbivory and influence community development in algal metacommunities
<p>Data in support of accepted Article in Ecology. Information regarding data collection can be found in linked publication. Code performed on data can be found in the attached Github (<a href="http://github.com/gsrednick/herbivory_assembly">github.com/gsrednick/herbivory_assembly</a>).</p> <p>Metadata</p> <ul> <li>biomass_change_data.csv — algal biomass data per settlement tile over time</li> <li>block_data.csv — block and settlement tile metadata</li> <li>experiment_data_V2.csv — raw algal community structure data per settlement tile over time</li> <li>meta_table.csv — complete tile and treatment metadata</li> </ul>
Fig. 1 in Contribution of Georges Cuvier and Jean-Baptiste de Lamarck to development of the system of Mollusca
Fig. 1. Georges Cuvier, an official portrait (http:// www.napoleon-empire.com/pictures/cuvier.php).
Phenotyping data from: Genetics of phenological development and implications for seed yield in lentil
<p>Using a historic collection of Australian lentil varieties released between 1988 and 2019, we show that genetic gain in yield (29 kg ha<sup>-1</sup> yr<sup>-1</sup>) associates with faster reproductive development. A focus on five loci related to reproductive development, the lentil <em>ELF3</em> ortholog <em>Sn</em>, two loci linked to clusters of lentil <em>FT</em> orthologs and two loci without proposed candidates in chromosomes 2 and 5, revealed the potential for introducing novel early flowering alleles into current breeding material for further phenological diversity with potential implications for yield.</p>
Data from: The genomics of mimicry: Gene expression throughout development provides insights into convergent and divergent phenotypes in a Müllerian mimicry system
<p>A common goal in evolutionary biology is to discern the mechanisms that produce the astounding diversity of morphologies seen across the tree of life. Aposematic species, those with a conspicuous phenotype coupled with some form of defense, are excellent models to understand the link between vivid color pattern variations, the natural selection shaping it, and the underlying genetic mechanisms underpinning this variation. Mimicry systems in which species share a conspicuous phenotype can provide an even better model for understanding the mechanisms of color production in aposematic species, especially if comimics have divergent evolutionary histories. Here we investigate the genetic mechanisms by which mimicry is produced in poison frogs. We assembled a 6.02 Gbp genome with a contig N50 of 310 Kbp, a scaffold N50 of 390 Kbp, and 85% of expected tetrapod genes. We leveraged this genome to conduct gene expression analyses throughout development of four color morphs of <em>R. imitator </em>and two color morphs from both <em>R. fantastica </em>and <em>R. variabilis </em>which <em>R. imitator</em> mimics. We identified a large number of pigmentation and patterning genes differentially expressed throughout development, many of them related to melanophores/melanin, iridophore development, and guanine synthesis. We also identify the pteridine synthesis pathway (including genes such as <em>qdpr </em>and <em>xdh</em>) as a key driver of the variation in color between morphs of these species, and identify several plausible candidates for coloration in vertebrates (e.g., <em>cd36, ep-cadherin, perlwapin</em>). Finally, we hypothesize that keratin genes (e.g., <em>krt8</em>) are important for producing different structural colors within these frogs.</p>
Map 1 in Fisheries at the heart of a development issue in Mauritania: Small coastal pelagics between market logic and nutritional rationality
Map 1: Geographical areas of small pelagics fishing and landings
Fig 3 in Fisheries at the heart of a development issue in Mauritania: Small coastal pelagics between market logic and nutritional rationality
Fig 3: Contribution of small coastal pelagics to public finances
Fig 2 in Fisheries at the heart of a development issue in Mauritania: Small coastal pelagics between market logic and nutritional rationality
Fig 2: Evolution of the quantities of fish distributed by the SNDP
Fig 1 in Fisheries at the heart of a development issue in Mauritania: Small coastal pelagics between market logic and nutritional rationality
Fig 1: Evolution of fishmeal and fish oil production in Mauritania
Figure 3 in Developing an advanced information system to support ballast water management
Figure 3. An overall view of all modules of the Ballast Water Information System.
Current state of vulnerability handling from the perspective of software operators and developers: semi-structured interviews
<p>This archive contains the transcripts of semi-structured interviews, conducted as part of the study "Leveraging Fine-grained Telemetry Data for the Detection and Prevention of Vulnerability Exploits" by Konrad Ponichtera and Sebastian Proksch. The goal of the interviews was to collect insights about the current state of vulnerability handling in the software engineering industry and identify improvement possibilities from the perspective of the system operator.</p> <p>The interviews have been conducted with ten software engineers with system administration/operation backgrounds, meaning that either they perform system administration/operation as part of their responsibilities, or used to do so in the past. Each participant has been assigned an identifier from P1 to P10. Their roles and industry experience have been disclosed in the attached CSV file with the questionnaire responses.</p> <h1>Interview structure</h1> <p>The interviews were conducted online, and transcribed to the text file, which was then reviewed and pseudonymized. Each interview took approximately one hour. During each interview, the participants were asked to look into a problem of system vulnerabilities from the perspective of a system operator, who can configure and monitor the infrastructure, as well as deploy the applications. The participants were also informed that the operator cannot modify the applications' source code and artifacts. Then the participants were asked seven open questions about the status quo of vulnerability handling in software engineering and its three aspects of awareness, impact, and mitigation. The interviewees responded in accordance with their knowledge and experience.</p> <p>Afterwards, the researcher guiding the session introduced the proposed system to the interviewees, by describing its goal and functionality. To avoid the moderator acceptance bias, we explained that the system was designed within the Software Engineering Research Group of Delft University of Technology. The mitigation of social desirability bias has been achieved by describing the actions taken by an imaginary operator named Albert.</p> <p>After going through the wireframes of the operator's dashboard interface and describing the content of each screen, the participants were asked to follow a supervised walkthrough, where they played the role of an operator. They were presented with a hypothetical situation, where a critical vulnerability, similar to the <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=cve-2021-44228" target="_blank" rel="noopener">Log4Shell</a> appears on the dashboard. During this part, the guiding researcher was streaming the window of a wireframe editor. The interviewees were then asked to follow a think-aloud protocol, and indicate their actions as they "use" the system. Meanwhile, the researcher made changes to the wireframes to simulate the effect of the participants' actions.</p> <p>After the walkthrough, participants filled out a System Usability Scale (SUS) questionnaire and were asked additional questions about the impact the proposed system would have on their vulnerability awareness, impact analysis, and mitigation capability.</p> <h1>Files</h1> <p>The archive contains three types of artifacts from the interview: pseudonymized transcripts, the questionnaire and the wireframes.</p> <h2>Transcripts</h2> <p>The <em>transcripts</em> directory contains ten text files with pseudonymized interview transcripts. In each file, the parts spoken by the interviewing researcher have been prepended with "R:", while the parts spoken by the interviewee have been prepended by the interviewee's identifier.</p> <h2>Questionnaire</h2> <p>The CSV file contains the answers participants gave at the start of the interview. <br>Each participant was asked to provide their current job title and how many years they worked in the software engineering industry. They were also asked to specify which DevOps tools and technologies they used, and what system operator tasks they had a chance to do during their career. The goal of these questions was to estabilsh the interviewee's system operation background. Finally, after the prototype walkthrough, participants filled out SUS questionnaires, the results of which are included in the PDF.</p> <h2>Wireframes</h2> <p>The <em>wireframes</em> directory contains diagrams in DrawIO format (also exported to PDF), used during the interview.<br>The vision GUI wireframes were used to introduce participants to what the envisioned system would look like.<br>The walkthrough wireframes were used during the semi-supervised walkthrough scenario, where the interviewing researcher modified them following the participants' actions.</p>
Does Democracy Flourish in the Dark? Regional Development and Democracy Building
<p>The dataset contains only variables (see list below) that the authors are able to share. The rest of variables used in the empirical analysis must be requested or purchased from the Czech Statistical Office (see the paper: https://repec.econ.muni.cz/mub/wpaper/wp/econ/WP_MUNI_ECON_2024-04.pdf).</p> <div> <div>#"MunicipalityID"...Municipality ID</div> <div>#"year"...Year/Election ID</div> <div>#"NoOfVoters"...Number of eligible voters</div> <div>#"ValidVotes"...Number of (valid) cast votes</div> <div>#"ComParty"...Electoral support of the Communist Party</div> <div>#"system"...Electoral support of pro-system parties</div> <div>#"turnout"...Electoral turnout</div> <div>#"incumbent_count"...Votes casted for incumbent(s)</div> <div>#"KSCM_count"...Votes cast for the Communist Party</div> <div>#"system_count"...Votes casted for pro-system parties</div> <div>#"incumbent_L1"...Electoral support of incumbent in previous election</div> <div>#"incumbent_L1_count"...Votes cast for incumbent in the previous election</div> <div>#"MP_k"...MPs from the winning coalition living in the municipality</div> <div>#"MP_o"...MPs from the parliamentary opposition living in the municipality</div> <div>#"NL_mean"...Night-light intensity (mean)</div> <div>#"NL_mean_t1"...Night-light instensity in a previous year</div> <div>#"dist_AT"...distance to the Austrian border</div> <div>#"dist_DEw"...distance to the border of West Germany</div> </div>
Process data for development of a digital material shadow for the press hardening route of medium manganese steel
<p>Press-hardened ultra-high strength steel parts are widely used in the automotive sector for their lightweight and safety advantages. Medium-Manganese Steels (MMnS) are being explored as an alternative to boron-manganese steels due to their high strength and ductility after quenching, achieved at lower annealing temperatures thus reducing energy usage and carbon emissions. However, industrial adoption of MMnS is hindered by challenging processing requirements, e.g. in cold-rolling and press hardening. To expedite and improve the process development, data-driven decisions based on process parameters hold promise. Establishing a link between process data and the final produced part necessitates the development of a framework for a Digital Material Shadow (DMS). This paper investigates the development of a DMS framework for the cold rolling and press hardening process chain. In conjunction with conventional data acquisition methods employed for cold rolling, novel data acquisition techniques are introduced specifically tailored for press hardening, ensuring the comprehensive availability of relevant data. Moreover, a data pipeline is implemented to enable automatic processing, visualization, and analysis of process data. To facilitate seamless data linkage across processes in the DMS, an ID-system is introduced. Finally, the developed framework’s validity is demonstrated by creating a DMS for press-hardened MMnS parts, showcasing its potential for practical applications.</p>
Development of human pancreatic cancer avatars as a model for dynamic immune landscape profiling and personalised therapy
<div> <div> <div> <p>Pancreatic ductal adenocarcinoma (PDAC) is the most common form of pancreatic cancer, a disease with dismal overall survival. Advances in treatment are hindered by a lack of preclinical models. Here we show how a personalised organotypic 'avatar' created from resected tissue, allows spatial and temporal reporting on a complete in situ tumour microenvironment, and mirrors clinical responses. Our perfusion culture method extends tumour slice viability, maintaining stable tumour content, metabolism, stromal composition, and immune cell populations for 12 days. Using multiplexed immunofluorescence and spatial transcriptomics, we identify immune neighbourhoods and potential for immunotherapy. We employed avatars to assess the impact of a pre-clinically validated metabolic therapy and show recovery of stromal and immune phenotypes and tumour re-differentiation. To determine clinical relevance, we monitored avatar response to gemcitabine treatment and identified a patient avatar-predicable response from clinical follow-up. Thus, avatars provide valuable information for the syngeneic testing of novel therapeutics and a truly personalised therapeutic assessment platform for patients.</p> </div> </div> </div>
Fig. 10 in Development And Morphology Of Unduloribates Undulatus (Berlese, 1914) (Acari: Oribatida) And Some Remarks On The Unduloribatidae
Fig. 10. Unduloribates undulatus, larva: anal region with vestigial seta h3 (arrow)
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.