Find research datasets worth reusing

opencc-by-4.0Jun 2011View details →

Figure 4. The multi-agent overall environment for integrated management-Design and Development a Control and Monitoring System for Greenhouse Conditions Based-On Multi Agent System

The value of the final product incorporates not only quantity issues but also quality issues, which are difficult to be measured or even estimated. The environment of each agent is defined by the same parameters that define the physical environment in addition to internal states reported by each agent.

Fig. 15. D. latissimus larva, Fig. 16. Dead D in Methodologicalaspects Of Study On Biologyand Development Cycles Of Dytiscus Latissimus (Coleoptera: Dytiscidae) In Laboratory Environment. Spring-Summer Period

Fig. 15. D. latissimus larva, Fig. 16. Dead D.latissimus (male) died during pupation couple of hours after metamorphosis

Fig. 9. Young D in Methodologicalaspects Of Study On Biologyand Development Cycles Of Dytiscus Latissimus (Coleoptera: Dytiscidae) In Laboratory Environment. Spring-Summer Period

Fig. 9. Young D.latissimus imago. Female couple of hours after metamorphosis.: A – immediately after metamorphosis, B – in 6 hours, C – in 24 hours (integuments gained their normal colour).

Fig.6. Instar II larva attacking a in Methodologicalaspects Of Study On Biologyand Development Cycles Of Dytiscus Latissimus (Coleoptera: Dytiscidae) In Laboratory Environment. Spring-Summer Period

Fig.6. Instar II larva attacking a caddis larva (with Fig.7. D. latissimus instar III larva exuvium on its left)

Fig.5. D in Methodologicalaspects Of Study On Biologyand Development Cycles Of Dytiscus Latissimus (Coleoptera: Dytiscidae) In Laboratory Environment. Spring-Summer Period

Fig.5. D. latissimus egg While keeping the larvae one has to also laying inside the stem of consider the fact, that these larvae have an Caltha palustris

BRAIN Journal-Developing Distance Learning Environments in the Context of Cross-Border Cooperation-Figure 5. Weekly session stats for 2016

On following figures, statistic usage is given as Monthly and Weekly statistic for individual users and sessions. The number of the individual users and of the sessions is far better for the 2015 period, especially for the extent of time until the end of June. This is reasonable because it was during the project and the site is frequently put forward in promotional conferences, in press, in direct contacts with schools, and companies. After that period the site was not promoted additionally, and the only pointer to the site is a number of links found on our institutional websites as one of the services we are offering to the students. Considering all that, the figures for 2015 and even 2016, seems to be quite satisfactory. (Figure 1, Figure 4, and Figure 5).

BRAIN Journal-Developing Distance Learning Environments in the Context of Cross-Border Cooperation-Figure 3. Monthly user/session stats for 2016

It is also interesting to observe that in Figure 3, where the usage for 2016 is presented, that in the non-promotional period, the site is mostly used in January (before January exam term), in April, May, and June (before the June exam session and during colloquial exams) or in July and August (before the September exam session).

BRAIN Journal-Developing Distance Learning Environments in the Context of Cross-Border Cooperation-Figure 2. Monthly user/session stats for 2015

BRAIN Journal-Developing Distance Learning Environments in the Context of Cross-Border Cooperation-Figure 1. Components of EduWebCast System

The aim of this partnership would be to implement an infrastructure for live and on-demand video streaming of learning material for the targeted groups and, to this purpose, to establish a long and fruitful cooperation between teachers, pupils, and students on both sides of the border. The joint creation and administration of the webcast project is the ground stone of the partnership between the two universities and will result in more common projects based on the materials obtained through the project, contests between pupils and students, possible periodic educational exchanges.

opencc-by-4.0Jun 2019View details →

Dataset: SiNGA Simulation of cAMP sink development in restricted and unrestriced environments.

The setup files for the simulation of cAMP sink development in restricted and unrestricted environments. The results of the simulations were first presented on the 4th Central German Meeting on Bioinforatics 2019. To run a simulation the desired simulation setup file must be located in the same directory as the "singa-run.jar" and must be named "simulation_setup.json". Afterwards the simulation can be run using the "java -jar singa-run.jar" command on any system with at least Java 8 installed. Simulation parameters may be altered by changing the simulation setup file. The "singa-run" jar in this depository automatically runs all simulations resulting from all combinations of the "alternative values" annotated to concentrations or features. Results are saved in an "observations" folder that is created in the same directory. Each simulation creates one folder containing the variations used and the trajectory of the simulation. More information are available on the <a href="https://github.com/singa-bio/singa">SiNGA github</a>.

opencc-by-4.0Jul 2019View details →

Dataset: SiNGA Simulation of cAMP sink development in different environments.

The setup files for the simulation of cAMP sink development in different environments. The results of the simulations were presented on the ISMB Sysmod Meeting 2019. To run a simulation the desired simulation setup file must be located in the same directory as the "singa-run.jar" and must be named "simulation_setup.json". Afterwards the simulation can be run using the "java -jar singa-run.jar" command on any system with Java 8 installed. Simulation parameters may be altered by changing the simulation setup file. The "singa-run" jar in this depository automatically runs all simulations resulting from all combinations of the "alternative values" annotated to concentrations or features. Results are saved in an "observations" folder that is created in the same directory. Each simulation creates one folder containing the variations used and the trajectory of the simulation. More information are available on the <a href="https://github.com/singa-bio/singa">SiNGA github</a>.

opencc-by-4.0Sep 2024View details →

Assessment of Simulations in Faust and Tascar for the Development of Audio Algorithms in Acoustic Environments - Code and Data

Developing and testing audio algorithms with hard real-time constraints can be a complex task, requiring certain programming skills and/or specialized equipment. However, many things can be tested in simulations on an ordinary computer, using <a href="https://tascar.org/" target="_blank" rel="noopener">TASCAR</a> for acoustic scene creation and <a href="https://faust.grame.fr/" target="_blank" rel="noopener">FAUST</a> for signal processing. Their capability are evaluated and compared to measurements using an FxLMS algorithm for active noise control as example. This repository contains code and measured data of the publication “Assessment of simulations in FAUST and TASCAR for the development of audio algorithms in acoustic environments”, presented at the International Faust Conference 2024 in Turin, Italy.

opencc-by-4.0Oct 2024View details →

An Online Integrated Development Environment for Automated Programming Assessment Systems Open Source Data

This dataset accompanies the paper "An Online Integrated Development Environment for Automated Programming Assessment Systems". It contains data from the usability evaluation of a feature-rich online IDE designed for integration into Automated Programming Assessment Systems (APASs). The dataset includes survey responses from 27 participants based on the Technology Acceptance Model (TAM), performance metrics such as memory usage, and qualitative user feedback. The study highlights challenges in integrating online IDEs with APASs, such as memory efficiency, load balancing, and user experience. The dataset supports further research in developing scalable, effective, and user-friendly programming education tools. Here you can find the code changes required for the online IDE in Artemis: <a href="https://github.com/ls1intum/Artemis/pull/6706/files" target="_blank" rel="noopener">Github</a>

opencc-by-4.0Apr 2021View details →

Dataset for "Radiation environment at the surface and subsurface of the Moon: Model development and validation" publication in Journal of Geophysical Research: Planets

data set used for plots in manuscript "Radiation environment at the surface and subsurface of the Moon: Model development and validation" submitted to GRL

Fig. 2 in Larval Development And Habitat Usage Of Stream-Breeding Fire Salamanders In An Urban Environment

Fig. 2. Changes in the number of salamander larvae and rainfall. The bold black continuous line shows the mean number of salamander larvae detected during the surveys in the three 10 day intervals of months in Hűvös-ér stream, 2011–2014. The bar graph shows the mean amount (and SD) of precipitation (mm) during the three 10-day intervals of months

Fig. 3 in Larval Development And Habitat Usage Of Stream-Breeding Fire Salamanders In An Urban Environment

Fig. 3. Mean density of salamander larvae (number of larvae/m2) detected in the 16 segments during surveys every 10 days in "Hűvös-ér" stream, 2011–2014 (2011: thin line, 2012:

Fig. 5 in Larval Development And Habitat Usage Of Stream-Breeding Fire Salamanders In An Urban Environment

Fig. 5. Mean number of salamander larvae detected per a year in the "releasing" 2–6 upper segments (continuous bold line), in the "strong collector" middle segments: 7–9 (dashed line) and the "weak collector" lower segments: 10–13 (dotted line) during surveys every 10 days in "Hűvös-ér" stream between 2011–2014. Data from segment 1 have not been plotted because larvae were present at only one time point

Fig. 1 in Larval Development And Habitat Usage Of Stream-Breeding Fire Salamanders In An Urban Environment

Fig. 1. Segments of "Hűvös-ér" stream, where Salamandra salamandra larvae were surveyed. (Numbers indicate individual stream segments, bold meandering line = main branch of the stream, thin branch- ing line = tributaries of the stream, straight lines = segment boundaries, four-pointed stars at segment boundaries and in the stream bed = water steps, double line = main road between Budapest and Solymár, P = "Paprikás"-stream)