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172 results for “IDE”
Kuangetal-PPIG24-Designing-a-multimodal-IDE-with-developers
<p>This replication package includes:</p> <ol> <li>The conceptual design and personas.</li> <li>The co-design workshop output and the slides used in the workshop.</li> <li>The IDE prototype exported in PDF for a quick overview and in PNG for reuse on Figma.</li> <li>A demo of the IDE prototype on Figma, which is used for the user test.</li> </ol>
DroughtNet: Establishing the International Drought Experiment at Cedar Creek sIDE (savanna IDE) : Aboveground Biomass
Abstract: Droughts are forecast to become increasingly frequent and intense in many regions worldwide, likely impacting community structure, ecosystem functioning, and ecosystem services. The International Drought Experiment (IDE) is a coordinated, multi-site drought experiment requiring only a moderate investment of time and resources by investigators. This coordinated, distributed experiment will quantify the impacts of extreme drought across a wide range of terrestrial ecosystems based on a common experimental design and a comparable suite of measurements. We aim to establish two stand-alone experiments following the IDE design at Cedar Creek. Precipitation reduction shelters will be established during spring 2017 to simulate a 1 in 100 year dry event, which at our site corresponds to removing 43% of annual precipitation. The sIDE (savanna IDE) study will be established in Field D, an oak savanna, and will consist of 3 precipitation treatments (precipitation reduction shelter, inverted shelter as an infrastructure control, no shelter), fully crossed with two fertilization treatments (unamended control or NutNet NPK treatment), and with 5 replicate plots for each of the six treatment combinations, for a total of 30 plots, each 3 by 3 m (2 by 2 m inner area sampled), covered by 3 by 3 m shelters. The three precipitation treatments described above will be applied at the subplot level and fully crossed with the two current irrigation treatments (ambient or ambient plus ~2 cm per week of irrigation) and with two of the current fertilization treatments (unamended or 14 g N m-2), with six true replicate plots for each of the 12 treatment combinations, for a total of 72 subplots. Standard measurements across these two experiments and all other DroughtNet sites will include peak aboveground biomass clipping, soil carbon and nitrogen content, plant community composition from % cover, plant traits, and meteorological measurements (daily precipitation, air temperature). Many
DroughtNet: Establishing the International Drought Experiment at Cedar Creek sIDE (savanna IDE) : Percent Cover
Abstract: Droughts are forecast to become increasingly frequent and intense in many regions worldwide, likely impacting community structure, ecosystem functioning, and ecosystem services. The International Drought Experiment (IDE) is a coordinated, multi-site drought experiment requiring only a moderate investment of time and resources by investigators. This coordinated, distributed experiment will quantify the impacts of extreme drought across a wide range of terrestrial ecosystems based on a common experimental design and a comparable suite of measurements. We aim to establish two stand-alone experiments following the IDE design at Cedar Creek. Precipitation reduction shelters will be established during spring 2017 to simulate a 1 in 100 year dry event, which at our site corresponds to removing 43% of annual precipitation. The sIDE (savanna IDE) study will be established in Field D, an oak savanna, and will consist of 3 precipitation treatments (precipitation reduction shelter, inverted shelter as an infrastructure control, no shelter), fully crossed with two fertilization treatments (unamended control or NutNet NPK treatment), and with 5 replicate plots for each of the six treatment combinations, for a total of 30 plots, each 3 by 3 m (2 by 2 m inner area sampled), covered by 3 by 3 m shelters. The three precipitation treatments described above will be applied at the subplot level and fully crossed with the two current irrigation treatments (ambient or ambient plus ~2 cm per week of irrigation) and with two of the current fertilization treatments (unamended or 14 g N m-2), with six true replicate plots for each of the 12 treatment combinations, for a total of 72 subplots. Standard measurements across these two experiments and all other DroughtNet sites will include peak aboveground biomass clipping, soil carbon and nitrogen content, plant community composition from % cover, plant traits, and meteorological measurements (daily precipitation, air temperature). Many
DroughtNet: Establishing the International Drought Experiment at Cedar Creek tIDE (trait IDE): Aboveground Biomass
Droughts are forecast to become increasingly frequent and intense in many regions worldwide, likely impacting community structure, ecosystem functioning, and ecosystem services. The International Drought Experiment (IDE) is a coordinated, multi-site drought experiment requiring only a moderate investment of time and resources by investigators. This coordinated, distributed experiment will quantify the impacts of extreme drought across a wide range of terrestrial ecosystems based on a common experimental design and a comparable suite of measurements. We aim to establish two stand-alone experiments following the IDE design at Cedar Creek. Precipitation reduction shelters will be established during spring 2017 to simulate a 1 in 100 year dry event, which at our site corresponds to removing 43% of annual precipitation. The tIDE (trait IDE) study will be established in e248 plots in the Big Biodiversity experiment field. The three precipitation treatments described above will be applied at the subplot level and fully crossed with the two current irrigation treatments (ambient or ambient plus ~2 cm per week of irrigation) and with two of the current fertilization treatments (unamended or 14 g N m-2), with six true replicate plots for each of the 12 treatment combinations, for a total of 72 subplots. Standard measurements across these two experiments and all other DroughtNet sites will include peak aboveground biomass clipping, soil carbon and nitrogen content, plant community composition from % cover, plant traits, and meteorological measurements (daily precipitation, air temperature). Many sites will also measure light availability, root biomass, soil moisture, and decomposition rates of tea bags and tongue depressors. Pre-treatment data will be collected during 2016. The experiment is expected to have minimal impacts on Cedar Creek and on other projects.
DroughtNet: Establishing the International Drought Experiment at Cedar Creek tIDE (trait IDE): Percent Cover
Droughts are forecast to become increasingly frequent and intense in many regions worldwide, likely impacting community structure, ecosystem functioning, and ecosystem services. The International Drought Experiment (IDE) is a coordinated, multi-site drought experiment requiring only a moderate investment of time and resources by investigators. This coordinated, distributed experiment will quantify the impacts of extreme drought across a wide range of terrestrial ecosystems based on a common experimental design and a comparable suite of measurements. We aim to establish two stand-alone experiments following the IDE design at Cedar Creek. Precipitation reduction shelters will be established during spring 2017 to simulate a 1 in 100 year dry event, which at our site corresponds to removing 43% of annual precipitation. The tIDE (trait IDE) study will be established in e248 plots in the Big Biodiversity experiment field. The three precipitation treatments described above will be applied at the subplot level and fully crossed with the two current irrigation treatments (ambient or ambient plus ~2 cm per week of irrigation) and with two of the current fertilization treatments (unamended or 14 g N m-2), with six true replicate plots for each of the 12 treatment combinations, for a total of 72 subplots. Standard measurements across these two experiments and all other DroughtNet sites will include peak aboveground biomass clipping, soil carbon and nitrogen content, plant community composition from % cover, plant traits, and meteorological measurements (daily precipitation, air temperature). Many sites will also measure light availability, root biomass, soil moisture, and decomposition rates of tea bags and tongue depressors. Pre-treatment data will be collected during 2016. The experiment is expected to have minimal impacts on Cedar Creek and on other projects.
IDE Action Log Dataset from a CS1 MOOC
<p>This is a a dataset containing Integrated Development Environment (IDE) logs from an introductory programming MOOC. The dataset contains information on when actions in the IDE were performed in relation to deadlines over the different parts of the course. One exceptional aspect of the dataset is that part of the logs have been gathered at the keystroke level, allowing for fine-grained insight into the learning process. In addition to the IDE logs themselves, the dataset has information on whether students included in the data passed the course. This can facilitate further research that analyzes how time-related behavior relates to performance in introductory programming courses.</p>
Data for the paper "Optimizing Duplicate Size Thresholds in IDEs"
<p>Here you can find data for the paper "Optimizing Duplicate Size Thresholds in IDEs". </p> <p> </p> <ul> <li>In Archive_in.zip, one can find raw files that were used in the analysis. The archive is already structured to be used in the Lupa pipeline. For further instructions for replication, refer to <a href="https://github.com/nbirillo/clone-detector/tree/python-clone-analysis">our realisation of algorithm </a>and <a href="https://github.com/nbirillo/Lupa">Lupa</a> GitHub pages. </li> <li>In Archive_out.zip, one can find results of deduplication algorithm, which are used in the analysis. For each processed file there is a corresponding JSON, which contains meta-information about the file and a list of group of clones. </li> </ul> <p>Code and results can be find <a href="https://github.com/JetBrains-Research/jupyter-python-clones">here</a>.</p>
Call Graphs for Javascript IDEs
<p>The authors have run their algorithms on ten real-world subject programs and measured their performance. The programs include medium to large browser-based JavaScript applications covering a number of different domains, including games (beslimed,pacman,pong), visualizations (3dmodel,coolclock), editors (htmledit,mark-itup), a presentation library (flotr), a calendar app (fullcalen-dar), and a PDF viewer (pdfjs).</p>
GUI evaluation data for an IDE command recommender system
<p>This dataset contains results of the study conducted among the participants of the XP 2016 (a scientific conference with a strong participation of practitioners from the industry). The objective of the study was to evaluate the acceptance and usability of the proposed Graphical User Interface (GUI) for an Integrated Development Environment (IDE) command recommender system (RS). The data was collected by the questionnaire and the interviews. The data is anonymized.</p> <p>Content:</p> <ul> <li>README.txt</li> <li>./Survey answers.csv - the questionnaire answers</li> <li>./Interviews <ul> <li>./interviewXXX.txt - a file with a transcribed interview</li> <li>./mapping-codes-to-primary-documents.csv - a binary table summarizing interviews</li> </ul> </li> </ul>
IDE Interactions of Novices Transitioning Between Programming Environments
<p>Novices in introductory programming courses typically learn the fundamentals of programming using one of a wide of programming<br> environments. These vary greatly in terms of the mechanisms they employ to assist programmers, including their approaches to compilation and error message presentation. It is yet to be established which, if any, of these mechanisms are more beneficial for learning. In this study, we utilize Java programming process data to investigate the interaction between novices and two different versions of the BlueJ pedagogical IDE, which differ substantially in terms of compilation mechanism and error message presentation. Specifically, we compare novices that used both BlueJ 3 and BlueJ 4 with those who exclusively used either and the effects of the order in which they transition between BlueJ versions. We find substantial differences between different cohorts in terms of error messages and compilation which provides evidence that programming environments play an important part in influencing the programming<br> practices of novices. This work supports the hypothesis that the choice of programming environment significantly affects user behavior with respect to specific programming interactions and therefore it is reasonable to expect a difference in how these environments affect learning.</p>
Cross-Seal Closure Device IDE Trial - Study of the Cross-SealTM Suture-Mediated Vascular Closure Device System
ClinicalTrials.gov study NCT03756558. IPD Sharing: NO. Countries: 1. Publications: 1.
Ides in Highly Sensitized (HS) Patients Awaiting Kidney Transplantation
ClinicalTrials.gov study NCT02426684. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Phase II Study, Evaluation of Safety and Efficacy of IdeS in Chronic Kidney Disease
ClinicalTrials.gov study NCT02224820. IPD Sharing: NO. Countries: 1. Publications: 3.
A Study of JNJ-73763989, JNJ-56136379, Nucleos(t)Ide Analogs, and Pegylated Interferon Alpha-2a in Virologically Suppressed Participants With Chronic Hepatitis B Virus Infection
ClinicalTrials.gov study NCT04667104. IPD Sharing: YES. Countries: 4. Publications: 1.
Open-Label Phase II Study to Evaluate the Efficacy and Safety of IdeS in Anti-GBM Disease
ClinicalTrials.gov study NCT03157037. IPD Sharing: NO. Countries: 5. Publications: 3.
RexMedical- Option* Vena Cava Filter IDE Study
ClinicalTrials.gov study NCT00488865. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study of ABI-H0731 + Nucleos(t)Ide as Finite Treatment for Chronic Hepatitis B Patients
ClinicalTrials.gov study NCT03780543. IPD Sharing: NO. Countries: 5. Publications: 1.
Finite Versus Continuous Nucleos(t)Ide Analogues for Chronic Hepatitis B
ClinicalTrials.gov study NCT05793268. IPD Sharing: YES. Countries: 1. Publications: 6.
IdeS in Asymptomatic Antibody-Mediated Thrombotic Thrombocytopenic Purpura (TTP) Patients
ClinicalTrials.gov study NCT02854059. IPD Sharing: NO. Countries: 1. Publications: 1.
IN.PACT™ AV Access IDE Study
ClinicalTrials.gov study NCT03041467. IPD Sharing: NO. Countries: 3. Publications: 1.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.