Find research datasets worth reusing

opencc-by-4.0Oct 2013View details →

BRAIN Journal-Intelligent Continuous Double Auction method For Service Allocation in Cloud Computing-Figure 3. Sharing and merging effect on successful allocation

Fig (3) shows the effect of merging and sharing resources by auctioneer in term of success rate of allocation. As shown in it, these factors improve successful allocation rate especially in higher system load.

opencc-by-4.0Oct 2013View details →

BRAIN Journal-Intelligent Continuous Double Auction method For Service Allocation in Cloud Computing-Figure 4. Sharing and tradeoff factor effect on resource utilization

In Figure 4 we consider tradeoff and sharing factors in providers. The result illustrates that by using these factors providers improve resource utilization. Higher resource utilization motivates more providers to participate in the cloud and also enables the cloud market to handle more consumers which influences market efficiency.

opencc-by-4.0Dec 2014View details →

BRAIN Journal-Brain signal analysis using EEG and Entropy to study the effect of physical and mental tasks on cognitive performance-Figure 2. Energy-VAS subjective measures for the participants (n=12) under two conditions (control and exercise involved cognitive task).

As shown in Figure 2, it was found that there was a statistically significant interaction in the percentage of mental fatigue between the condition type and time-on-task factor times (F(6, 22) = 492.19, p < 0.001) as well as there was a significant main effect of time-on-task (time5 to time30) (F(5, 22) = 463.794, p < 0.001). In addition, there was also a significant main effect in the condition type (F (1, 22) = 713.133, p < 0.001) which represented a large effect size. For the physical fatigue subjective measure, there was a significant difference between the two experimental conditions (p < 0.001), and within the subject test times (p < 0.001). However, there was no significant difference between the means of the concentration visual analogue scale for these two experimental conditions (p = 0.057) despite a significant difference (p < 0.001) in the time-on-task repeated measures.

opencc-by-4.0Oct 2012View details →

Name Size Figure 4.2. Ratio of male to female participants-The Effects of CALL on Vocabulary Learning: A Case of Iranian Intermediate EFL Learners

opencc-by-4.0Oct 2012View details →

Figure 4.1. Distribution of scores for the Nelson test-The Effects of CALL on Vocabulary Learning: A Case of Iranian Intermediate EFL Learners

In the past, vocabulary teaching and learning were often given little priority in second language programs but recently there has been a renewed interest in the nature of vocabulary and its role in learning and teaching. Although most teachers might be aware of the importance of technology, say, computer, rarely teachers use it for teaching vocabulary. Thus, the current study aims at exploring the effects of CALL on vocabulary learning of Iranian EFL Learners. In this study, 40 intermediate EFL learners, both male and female aged from 16 to 18 studying New Interchange, book III, were chosen randomly from a language institute in Tehran. They were divided into two twenty-member groups. The experimental group was given the VTS.S (a computer program for teaching vocabularies), a computerized dictionary and provided with teacher efeedback. The control group received no special software and vocabularies were taught using the conventional ways with the help of a paper dictionary. A vocabulary pre-test based on the tests available in their teacher's guide was given to both groups. The aim of this test was to make sure that the students were not familiar with the words in advance. By pre-test/post-test comparison researchers found learners exposed to VTS.S teacher e-feedback plus the computerized dictionary scored higher than the control group. Both high-stake and low-stake holders can avail from the findings of the study.

opencc-by-4.0Dec 2014View details →

BRAIN Journal-Brain signal analysis using EEG and Entropy to study the effect of physical and mental tasks on cognitive performance-Figure 1. The 10-20 international system electrode placement showing the EEG electrode placement

For the EEG analysis, the average power in the theta band (4 – 8 Hz), and alpha band (8 – 12 Hz) were computed at the frontal and parietal electrodes Fz and Pz respectively. Next, the ratio of these two powers was determined, and named the ‘cognitive ratio’ as several researchers found that the fronto-parietal network play important roles in cognitive activities.

opencc-by-4.0Oct 2017View details →

Data and R scripts for the paper "New Evidence for a Directed Forgetting Effect in Source Memory and a Role of Source Feature Intrinsicality in the Item-Method"

Data and R scripts from Experiment 1 and 2 of the paper "New Evidence for a Directed Forgetting Effect in Source Memory and a Role of Source Feature Intrinsicality in the Item-Method".

opencc-by-4.0Feb 2018View details →

The effects of environmental history and thermal stress on coral physiology and immunity

This dataset has all data for the manuscript (Wall CB,  CA Ricci, GE Foulds, LD Mydlarz, RD Gates, HM Putnam (2018) The effects of environmental history and thermal stress on coral physiology and immunity. Marine Biology). Data included a zipped archive shape file for creating Kāne'ohe Bay map, physical data (light and temperature) from Kāne'ohe Bay and laboratory experiments, pCO2 data for Kāne'ohe Bay reef sites dowloaded from NOAA PMEL, and biological responses (PAM fluorometry, physiology, immune activity and oxidative profile).

Data - Effect of electrolytes as adjuvants in GFP and LPS partitioning on aqueous two-phase systems: 1. Polymer-polymer systems

Overview The production of recombinant biopharmaceuticals is highly dependent of a proper choice of the downstream processing stages. Particularly, the purification that must ensure that all the endotoxins (lipopolysaccharide - LPS) are efficiently removed from the final product. This dataset contains the raw data and statistical analysis for the research entitled - "Effect of electrolytes as adjuvants in GFP and LPS partitioning on aqueous two-phase systems: 1. Polymer-polymer systems".  Info ANOVA_Turkey_Sub.R <- code for ANOVA analysis in R statistic 3.3.3     glm.R <- code for GLM analysis in R statistic 3.3.3 K&REC_LPS_PEG_NaPA.xlsx <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) and recover (REC) for ANOVA analysis K&REC_LPS_PEG_NaPA_K.docx <- File with ANOVA result of partition coefficient (K) for GFP K&REC_LPS_PEG_NaPA_REC.docx <- File with ANOVA result of recover (REC) for GFP          K_GFP_Pol_005.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in 0.05M salt assays     K_GFP_Pol_005.doc <- File with GLM analysis of GFP partition coefficient (K) in 0.05M salt assays   K_GFP_Pol_005_QQ.png <- Residual quantile plot of GLM analysis for partition coefficient (K) in 0.05M salt assays   K_GFP_Pol_025.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in 0.25M salt assays   K_GFP_Pol_025.doc  <- File with GLM analysis of GFP partition coefficient (K) in 0.25M salt assays   K_GFP_Pol_025_QQ.png <- Residual quantile plot of GLM analysis for partition coefficient (K) in 0.25M salt assays          REC_GFP_Pol_005.csv <- File with raw values organized in a spreadsheet of GFP recover (REC) for GLM analysis in 0.05M salt assays          REC_GFP_Pol_005.doc  <- File with GLM analysis of GFP recover (REC) in 0.05M salt assays     REC_GFP_Pol_005_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in 0.05M salt assays    REC_GFP_Pol_025.csv <- File with raw values organized in a spreadsheet of GFP recover (REC) for GLM analysis in 0.25M salt assays           REC_GFP_Pol_025.doc  <- File with GLM analysis of GFP recover (REC) in 0.25M salt assays  REC_GFP_Pol_025_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in 0.25M salt assays         REM_LPS_PEG_NaPA.docx  <- File with ANOVA result of LPS removal           REM_LPS_PEG_NaPA.xlsx <- File with raw values organized in a spreadsheet of LPS removal for ANOVA analysis Stability_GFP_PEG_NaPA.docx <- File with ANOVA result of GFP stability Stability_GFP_PEG_NaPA.xlsx <- File with raw values organized in a spreadsheet of GFP stability results for ANOVA analysis REM_LPS_Pol_005.csv  <- File with raw values organized in a spreadsheet of LPS removal (REM) for GLM analysis in 0.05M salt assays          REM_LPS_Pol_005.doc  <- File with GLM analysis of LPS removal (REM) in 0.05M salt assays     REM_LPS_Pol_005_QQ.png <- Residual quantile plot of GLM analysis of LPS removal (REM) in 0.05M salt assays   REM_LPS_Pol_025.csv  <- File with raw values organized in a spreadsheet of LPS removal (REM) for GLM analysis in 0.25M salt assays          REM_LPS_Pol_025.doc   <- File with GLM analysis of LPS removal (REM) in 0.25M salt assays     REM_LPS_Pol_025_QQ.png <- Residual quantile plot of GLM analysis of LPS removal (REM) in 0.25M salt assays K_GFP_Pol_025_NaCl_Li2SO4.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in 0.25M salt assays comparing NaCl and Li2SO4 effect  K_GFP_Pol_025_NaCl_Li2SO4.doc  <- File with GLM analysis of GFP partition coefficient (K) in 0.25M salt assays comparing NaCl and Li2SO4 effect  K_GFP_Pol_025_NaCl_Li2SO4_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in 0.25M salt assays comparing NaCl and Li2SO4 effect    REM_LPS_Pol_KI_0.05_vs_0.25.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in KI assays comparing salt concentration effect   REM_LPS_Pol_KI_0.05_vs_0.25.doc <- File with GLM analysis of GFP partition coefficient (K) in KI assays comparing salt concentration effect REM_LPS_Pol_KI_0.05_vs_0.25_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in KI assays comparing salt concentration effect REM_LPS_Pol_KNO3_0.05_vs_0.25.csv  <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in KNO3 assays comparing salt concentration effect   REM_LPS_Pol_KNO3_0.05_vs_0.25.doc <- File with GLM analysis of GFP partition coefficient (K) in KNO3 assays comparing salt concentration effect REM_LPS_Pol_KNO3_0.05_vs_0.25_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in KNO3 assays comparing salt concentration effect REM_LPS_Pol_Li2SO4_0.05_vs_0.25.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in Li2SO4 assays comparing salt concentration effect   REM_LPS_Pol_Li2SO4_0.05_vs_0.25.doc <- File with GLM analysis of GFP partition coefficient (K) in Li2SO4 assays comparing salt concentration effect REM_LPS_Pol_Li2SO4_0.05_vs_0.25_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in Li2SO4 assays comparing salt concentration effect REM_LPS_Pol_NaCl_0.05_vs_0.25.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in NaCl assays comparing salt concentration effect   REM_LPS_Pol_NaCl_0.05_vs_0.25.doc <- File with GLM analysis of GFP partition coefficient (K) in NaCl assays comparing salt concentration effect  REM_LPS_Pol_NaCl_0.05_vs_0.25_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in NaCl assays comparing salt concentration effect   Annotation 12/12 - Concentration of 12% of each polymer PEG/NaPA 16/16 - Concentration of 16% of each polymer PEG/NaPA P/N -  PEG/NaPA 10e4, 10e5, 10e6 - Concentration of LPS in scientific notation - 10000, 100000, 100000 EU/mL poly - Polymer salt - Salt concentration in the assay tsalt - Type of salt in the assay (NaCl, KNO3, KI and Li2SO4) lps - lipopolysaccharide K - GFP partition coefficient REM - LPS removal REC - GFP recover wo_salt - Assay without salt addition Acknowledgements The authors are grateful for financial support from FAPESP (São Paulo Research Foundation, Brazil) through the following projects: 2005/60159-7; 2007/51978-0; 2014/16424-7; and 2014/19793-3. The authors also acknowledge the support from CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil) through the process #0366/09-9 and CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil). Consider citing our work.  1. Work in progress...

Quantifying biostabilisation effects of biofilm-secreted and extracted extracellular polymeric substances (EPS) on sandy substrate

This dataset provides the data underlying the manuscript Quantifying biostabilisation effects of biofilm-secreted and extracted extracellular polymeric substances (EPS) on sandy substrate published in Earth Surface Dynamics - an interactive open-access journal of the European Geosciences Union. The work was conducted in the Total Environment Simulator at the University of Hull as part of Task 9.3 of the Hydralab+ inititiative.  Microbial assemblages ('biofilms') preferentially develop at water-sediment interfaces and are known to have a considerable influence on sediment stability and erodibility. There is potential for significant impacts on sediment transport and morphodynamics and, hence, on the longer-term evolution of coastal and fluvial environments. However, the biostabilisation effects remain poorly understood and quantified due to the inherent complexity of biofilms and the large spatial and temporal (i.e. seasonality) variations involved. Here, we use controlled laboratory tests to systematically quantify the effects of natural biofilm colonisation as well as extracted extracellular polymeric substances (EPS) on sediment stability. Extracted EPS may be useful to simulate biofilm-mediated biostabilisation, and potentially provides a method of speeding up time scales of physical modelling experiments investigating biostabilisation effects. We find a mean biostabilisation effect due to natural biofilm colonisation and development of almost four times that of the uncolonised sand. The presented cumulative probability distribution of measured critical threshold for erosion of colonised sand reflects the large spatial and temporal variations generally seen in natural biostabilised environments. For identical sand, engineered sediment stability from the addition of extracted EPS compares well across the measured range of the critical threshold for erosion and behaves in a linear and predictable fashion. Yet, the effectiveness of extracted EPS to stabilise sediment is sensitive to the preparation procedure, time after application and environmental conditions such as salinity, pH and temperature. These findings are expected to improve bio-physical experimental models in fluvial and coastal environments and provide much-needed quantification of biostabilisation to improve predictions of sediment dynamics in aquatic ecosystems.

Data set for the paper "What are the Effects of History Length and Age on Mining Software Change Impact?"

Data set for the paper What are the Effects of History Length and Age on Mining Software Change Impact? by Leon Moonen, Thomas Rolfsnes, David Binkley and Stefano di Alesio. In Journal of Empirical Software Engineering (EMSE), 2018, Springer. https://doi.org/10.1007/s10664-017-9588-z Available from https://evolveit.bitbucket.io/publications/emse2018/ Please cite this work by referring to the corresponding journal publication (a preprint is included in this package). The goal of Software Change Impact Analysis is to identify artifacts (typically source-code files or individual methods therein) potentially affected by a change. Recently, there has been increased interest in mining software change impact based on evolutionary coupling. A particularly promising approach uses association rule mining to uncover potentially affected artifacts from patterns in the system’s change history. Two main considerations when using this approach are the history length, the number of transactions from the change history used to identify the impact of a change, and history age, the number of transactions that have occurred since patterns were last mined from the history. Although history length and age can significantly affect the quality of mining results, few guidelines exist on how to best select appropriate values for these two parameters. In this paper, we empirically investigate the effects of history length and age on the quality of change impact analysis using mined evolutionary coupling. Specifically, we report on a series of systematic experiments using three state-of-the-art mining algorithms that involve the change histories of two large industrial systems and 17 large open source systems. In these experiments, we vary the length and age of the history used to mine software change impact, and assess how this affects precision and applicability. Results from the study are used to derive practical guidelines for choosing history length and age when applying association rule mining to conduct software change impact analysis.

opencc-by-4.0Jan 2012View details →

Execution and data log: on the effectiveness of random and adaptive random test case prioritization

Execution and data logs automatically generated by the test driver during experimentation. These results are similar (but not identical) to the results summarized in Table 1 of the following paper: Z. Q. Zhou, A. Sinaga, and W. Susilo, "On the fault-detection capabilities of adaptive random test case prioritization: case studies with large test suites," in Proceedings of the 45th Annual Hawaii International Conference on System Sciences (HICSS-45). IEEE, 2012, pp. 5584-5593. https://doi.org/10.1109/HICSS.2012.454 Compared with the above paper, the current dataset was collected from a different but similar set of experiments and included faulty versions 13, 23, and 26 of the Replace program---although these three versions were excluded from the experiments reported in the above paper due to their instability. If you find these data useful, please cite the above paper.

STRATIFICATION EFFECTS ON FLOW HYDRODYNAMICS AND MIXING AT A CONFLUENCE WITH A HIGHLY DISCORDANT BED AND A RELATIVELY LOW VELOCITY RATIO

The effects of temperature induced stratification on flow hydrodynamics, thermal mixing and the capacity of the flow to entrain sediment at a medium-size stream confluence with a highly discordant bed are investigated. To isolate the effects due to differences in the temperature/density of the incoming streams, two simulations were conducted with identical flow conditions (mean velocity ratio VR=2.44, temperature difference between the two streams ΔT=4.70 C). In the first case the Richardson number was Ri=0 (no coupling between the temperature and the momentum equations via the Boussinesq approximation), while in the second simulation Ri=0.67. Even in the Ri=0 case the structure of the mixing interface (MI) was different from the one expected for concordant bed confluences with a similar confluence angle and VR. The MI contained only co-rotating eddies shed in the shear layer forming on the fast speed side of the confluence apex. In the Ri = 0.67 case no wake region was present but a large recirculation eddy formed not far from the confluence apex. In both cases, the flow near the upstream part of the MI was found to be highly 3D and to allow the passage of particles from one side of the confluence to the other. While in the Ri = 0 case mixing was driven by the MI eddies, in the Ri = 0.67 case mixing was controlled by large near-bed intrusions of heavier fluid from the tributary containing colder water and also by the fluid advected in and out of the recirculation eddy.

opencc-by-4.0Dec 2016View details →

Datasets of the paper "Retrieval-Mediated Directed Forgetting in the Item-Method Paradigm: The Effect of Semantic Cues"

Data sets and analyses scripts of the paper "Retrieval-Mediated Directed Forgetting in the Item-Method Paradigm: The Effect of Semantic Cues".

Intentional Forgetting in Organizations: The Positive Effects of Decision Support Systems on Mental Resources and Well-being

This dataset contains raw data collected in an experimental study at the University of Muenster, Germany. The study is part of a larger research project and examined “intentional forgetting” effects in a simulated sales planning scenario. Intentional forgetting was operationalized via computer-based decision support system that enabled users to forget decision-relevant background information. We assumed that such intentional forgetting not only enhances decision quality but also decreases strain of decision makers and releases memory capacities for additional tasks.

Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 9. Proportion of indicators used in the case studies

Figure 9 presents the indicators used for evaluating the effectiveness of mobile and ubiquitous learning practices. Learning achievements (64%) and perceived usefulness (56%) were the two most frequently used, followed by motivation (26%), ease of use (26%) and satisfaction (24%). cognitive load (12%), system usage (8%), self-efficacy (6%) and social engagement (2%). Those indicators were usually adopted in the studies using qualitative methods for data collection. The results suggest a possible relationship between the data collection methods and the indicators. The choices of indicators represent, in principle, how the effectiveness of mobile and ubiquitous learning practices can be most appropriately evaluated and presented using particular study methods.

Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 8. Functions of the mobile devices used in the practices (Note: Each case could involve the use of more than one function.)

Figure 8 captures the functions of mobile devices used in the practices. The results show that tailor-made applications for specific practices were most common (74%), followed by the use of a speaker (32%) and a camera (26%), where learners had to listen to audio materials using speakers or access online information by scanning QR-codes through cameras. In the various practices, other functions were also used, such as messaging (16%) for interacting with diverse parties and GPS (14%) for outdoor learning activities. For the practices using older models of mobile devices without cameras, tools such as an RFID reader (8%) were used for accessing information via communication tags.

Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 5. Level of intervention of the studies

Figure 5 illustrates the levels of intervention of the studies. Most studies concentrated on the course level (76.9%) and some on either the programme level (13.5%) or the institutional level (9.6%). Two studies were conducted at more than one level. These results supplement the above number of participants where most of the studies were conducted on a small scale.

opencc-by-4.0May 2018View details →

Effects of the 2015-2016 El Niño on Currents and Temperatures on the Northern Peruvian Coast

Temperatures and currents were measured using equipment moored on an oil platform (4°26.90' S, 81° 20.13' W) off Talara, Peru. The depth of the platform was 45 m at the center and approximately 50 m around the edge. A thermistor chain (RBRconcerto) with 3 m intervals was moored at the center of the platform to determine variations in the vertical thermal structure. An acoustic Doppler current profiler (ADCP, RDI WH300) was moored on the bottom about 80 m to the west of the platform. The sampling intervals were 10 minutes for the thermistor chain and 30 minutes for the ADCP. The equipment was deployed on 6 December 2014, and maintained until 27 May 2016, for one year and five months. As the mooring line of the thermistor chain was lost, however, the thermistor chain data were obtained until 30 December 2015. To obtain the daily data, a median filter was applied to the raw temperature and a two-day moving average to the raw current data. The data in MATLAB binary format and the explanation file were uploaded.

Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 6. Purposes of using mobile devices for learning

Figure 6 shows the purposes of mobile and ubiquitous learning in the studies. A majority of the cases were multi-purpose (54%). Those with a single specific purpose were focused on “practice or revision” (34%) and “knowledge acquisition” (10%). There was a case where the application was to help new students to become familiar with the campus and teach them about the use of the facilities.