Research Dataset Catalog and ShareScore Ratings | ScienceDex

zenodo36/100

Energy Consumption Estimation of API-usage in Smartphone Apps via Static Analysis

OPEN CALL FOR COLLECTING ENERGY PROFILES @ <a href="https://github.com/AbdulAli/replication-kit-msr-2023">https://github.com/AbdulAli/replication-kit-msr-2023</a> Cite this work as: @inproceedings{bangash2023msr,     title={Energy Consumption Estimation of API-usage in Mobile Apps via Static Analysis},     author={Bangash, Abdul Ali and Jamal, Qasim and Eng, Kalvin and Ali, Karim and Hindle, Abram},     booktitle={2023 20th International Conference on Mining Software Repositories (MSR)},     pages={5721--5730},     year={2023},     organization={IEEE} } This is the replication-kit of the paper published at MSR 2023. It includes: <ul> <li>SQLite operations' benchmarks</li> <li>SQLite benchmarks' energy profiles</li> <li>The E-Factor Calculation program</li> </ul>

opencc-by-4.0Oct 2022View details →

zenodo36/100

Thermo-hydro-chemical simulation of mid-ocean ridge hydrothermal systems: Static 2D models and effects of paleo-seawater chemistry

DePaolo et al. Gcubed 2022 data files Thermo-hydro-chemical simulation of mid-ocean ridge hydrothermal systems:  Static 2D models and effects of paleo-seawater chemistry    In this folder are input and output files for v3.68 of TOUGHREACT that contain all of the files illustrated in the manuscript plus many more. Also included is v3 TOUGHREACT reference manual, which gives more information on all of the input and output files. In each folder there are a sequence of run folders, each containing input files (flow.inp, solute.inp, chemical.inp, MESH, GENER, plus a thermodynamic database with filename like “tkslth06acp3isi9.dat.” Also included are raw tecplot files (flowvector.tec, flowdata.tec, rct_sfarea.tec, rctn_rate.tec, min_SI.tec, minerals.tec, aqconc.tec) and other output files (all “.out” files).  In some cases the .tec files, which are combined files with output for both fractures and matrix, have been separated into separate fracture and matrix files with names like “flowvector_frc.tec,” “flowvector_mtx.tec,” aqconc_frc.tec,” “aqconc_mtx.tec” to allow plotting of fracture and matrix properties separately. Some folders also contain .tiff or .png files that are 2D color contour plots as shown in the manuscript.  All of these plots were made with Paraview (<a href="https://www.paraview.org/">https://www.paraview.org</a>) which is open-source. Each folder labeled like “Modern SW fastcpx Sr8…” contains several subfolders each labeled with the model year at which the run ends, like 2000, 2600, 2700, 2800, … which correspond to the warmup steps described in the manuscript: The typical procedure used to achieve the results reported here is (with some minor variations): <ol> <li>Run the simulation for 2000 model years with 50% of the final heating from below and minimal chemical reactions. RSA for primary minerals in both matrix and fractures are set to 10-6 cm2/g and 2 x 10-6cm2/g for secondary minerals, which yields chemical reaction rates about 500 times slower than for a more realistic system.</li> <li>Run for an additional 600 model years with the full heating from below and RSA’s at 10-6 cm2/g and 2 x 10-6 cm2/g. This step yields a steady state temperature and flow field with the full heating from below. Less time is needed than for the first phase because the fluid flow velocities are higher with higher heating rates.</li> <li>Run an additional 100 years; RSA’s increased to 10-5 cm2/g and 2 x 10-5 cm2/g</li> <li>Run 100 years; RSA’s at 10-4 cm2/g and 2 x 10-4 cm2/g*</li> <li>Run 100 years; RSA’s at 2 x 10-4 cm2/g and 4 x 10-4 cm2/g*</li> <li>Run 50 years; RSA’s at 3 x 10-4 cm2/g and 5 x 10-4 cm2/g*</li> <li>Run 50 years; RSA’s at 4 x 10-4 cm2/g and 8 x 10-4 cm2/g*</li> <li>Run 100 additional years*</li> </ol> After step 8 the system has been running for 3100 model years, but only 150 years with full reactions, which is long enough to get close to quasi-steady state fluid chemistry (there is no true steady state for chemistry because the rock mineralogy is changing with time). For each of the steps marked with an asterisk, an alternative procedure is to use high RSA’s for fracture minerals, up to 50 times higher.  In some folders there are additional subfolders extending in model time up to 3400 years.

opencc-by-4.0Nov 2022View details →

dryad36/100

EEG and eyetracking response to static and moving stimuli

This dataset contains processed EEG and eyetracking recordings from an experiment in which twelve participants viewed a black disk either flashed in one position or moving in a straight line in one of six directions. Static stimuli were presented at nodes on a hexagonal grid, while moving stimuli moved in straight lines along the axes of the grid.

opencc-zeroNov 2022View details →

zenodo36/100

Predictive Search Model of Flocking for Quadcopter Swarm in the Presence of Static and Dynamic Obstacles

The folder includes experimental data for the paper titled "Predictive Search Model of Flocking for Quadcopter Swarm in the Presence of Static and Dynamic Obstacles". In the paper, we present a Predictive Search Model (PSM) for flocking with Heading and Speed Shared (HSS) and Heading and Speed Unshared (HSU) prediction methods. We compare the performance of PSM with Potential Field Model (PFM) in the presence of static and dynamic obstacles in simulation. Also, we validate the performance of PSM with a quadcopter swarm indoors. The 'simulation experiments' folder includes simulation experiment data and MATLAB scripts that can simulate the experiments and provide plots for analysis. The 'quadcopter experiments' folder includes quadcopter experiment data and MATLAB scripts that can simulate the experiments and provide plots for analysis.

opencc-by-4.0Dec 2022View details →

dryad36/100

Dataset for: Buckling of lipidic ultrasound contrast agents under quasi-static load

Collapse of lipidic ultrasound contrast agents under high-frequency compressive load has been historically interpreted by the vanishing of surface tension. By contrast, buckling of elastic shells is known to occur when costly compressible stress is released through bending. Through quasi-static compression experiments on lipidic shells, we analyze the buckling events in the framework of classical elastic buckling theory and deduce the mechanical characteristics of these shells. They are then compared to that obtained through acoustic characterization.

opencc-zeroJan 2023View details →

dryad36/100

Data for: Static allometries do not reflect evolutionary allometry in exaggerated weaponry of male New Zealand sheetweb spiders (Cambridgea spp.)

Across the animal kingdom, exaggerated weaponry is frequently used by one sex to contest access for potential mates. Within species, if disproportionate investment in weaponry confers an advantage to larger individuals, this may result in positive static allometry. It is predicted that the same selective pressures may also lead to positive evolutionary allometry, where larger species bear disproportionately large weapons on average, compared with smaller species. However it is unclear whether the slopes of species-specific static allometries are steeper among larger species, or remain consistent. All adult males across the New Zealand sheet-web spider genus Cambridgea bear exaggerated chelicerae which are used to compete for control of females' webs. Here, we characterise the distribution of chelicera lengths within each sex of 12 Cambridgea species to show that chelicerae almost always exhibit positive static allometry in males while female chelicera lengths are consistently isometric. We use comparative phylogenetic methods to demonstrate that the slopes of static allometries steepen in males of larger species but that the ratio of average chelicera length to cephalothorax width is tightly conserved across taxa, leading to an isometric evolutionary allometry. While sexual selection may drive weapon exaggeration within species, resulting in steeper or shallower static allometries, this conservation of relative trait size suggests that chelicera length is subject to other stabilising selective pressures. Changes to species body plans might be constrained, while allowing for disproportionate investment in weapon traits at the extremes of body sizes within species.

opencc-zeroMar 2023View details →

zenodo36/100

Load and generation time series for German federal states: Static vs. dynamic regionalization factors (data)

This dataset contains regionalization factors for electricity generation and demand time series in Germany for the years 2019 - 2022. The factors can be used to distribute national generation and demand time series available from SMARD or ENTSO-E  to federal state level. The methods underlying the regionalization factors are described in [1], with a focus on the year 2021. However, an extended version of the dataset covering the years 2019-2022 is also included for comprehensive analysis. Moreover, the dataset comprises the corresponding regionalized generation and demand time series at the federal state level of Germany. This time series has been generated using the provided distribution factors for the years 2019-2022 and corresponding generation and demand time series from SMARD [2]. Addtionally, the regionalization methodology for the distributed generation and demand data for the year 2021 has been supplemented with validation data, as described in [1]. This data has been cross-checked against the available SMARD Transmission System Operator (TSO) data. A description of the preprocessing required to obtain the TSO data comparison is provided in a separate .txt file. A PDF document has been prepared, which includes scatter plots that illustrate a comparison between actual and allocated generation per production type or demand data for TSOs on an hourly basis for the year 2021. "static_regionalization_factors.2021[csv, xlsx]" Each column corresponds to one factor per federal state and per production type or demand. Regionalization factors are based on share of generation capacity in each state (generation) or population and GDP (demand). "dynamic_regionalization_factors_2021.[csv, xlsx]" “dynamic_regionalization_factors_all.[csv, xlsx]” Each column corresponds to one factor per federal state and per production type or demand. Each row corresponds to a specific hour of the years 2019 through 2022. Regionalization factors are based on a combination of per unit generation data and share of generation capacity in each state, simulated renewable generation data based on spatio-temporal weather data and distribution of wind and solar generation capacities, and a regionalized load dataset for 2015 [3]. “time_series_federal_states_all.[csv, xlsx]” Each column corresponds to the allocated electricity generation or demand per federal state per production type or demand in units of MWh. Each row corresponds to a specific hour of the years 2019 through 2022. The regionalized generation and demand time series has been created by utilizing the dynamic regionalization factors provided in the dataset, in conjunction with the national electricity generation and demand data of Germany as provided by SMARD [2]. “TSO_actual.[csv, xlsx]” “TSO_allocated.[csv, xlsx]” Each column corresponds to the spatially aggregated electricity generation per type or demand per TSO in units of GWh. Each row corresponds to one hour of the year 2021. The TSOs in Germany do not hold direct responsibility for individual federal states, but rather for specific regions. In order to assess the validity of the regionalization methodology employed, it was necessary to generate data at the NUTS3 level and subsequently aggregate it to correspond with the relevant TSOs. The data is pre-processed at NUTS3 level and then undergoes the same methodology as outlined in [1]. The preprocessing steps required to map the installed capacity to the TSO level are explained in the accompanying .txt file. The allocated generation and demand data are aggregated to correspond to the TSO level using a shapefile of mapped regions in Germany that correspond to the TSOs [4]. The actual TSO data is generation and demand as published by SMARD [2]. The accompanying PDF presents scatter plots that showcase the actual vs allocated hourly generation types or demand per TSO, expanding on the information provided in the article. [1] M. Sundblad, T. Fürmann, A. Weidlich and M. Schäfer, "<a href="https://arxiv.org/abs/2304.02951">Load and generation time series for German federal states: Static vs. dynamic regionalization factors</a>," 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES), Aachen, Germany, 2023, pp. 1-6, doi: 10.1109/OSMSES58477.2023.10089686. [2] Bundesnetzagentur | <a href="https://www.smard.de/home">SMARD.de</a> [3] Matthias Kühnbach, Anke Bekk, and Anke Weidlich (2021). <a href="https://www.forecast-model.eu/forecast-en/content/publications.php">Prepared for regional self-supply? On the regional fit of electricity demand and supply in Germany</a>. Energy Strategy Reviews, 34:100609, 20 [4] Frysztacki, Martha Maria. (2023). Mapping of districts to control zones of German Transmission System Operators (TSOs) (v0.1) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.7530196">https://doi.org/10.5281/zenodo.7530196</a>

opencc-by-4.0Jan 2023View details →

zenodo36/100

Artifact for "Total Recall? How Good are Static Call Graphs Really?"

The artifact is password protected to provide exclusive access to the reviewers. To decompress the archive, run `7z x artifact.7z` and enter the password when asked. The password is provided on HotCRP.

opencc-by-4.0Aug 2023View details →

zenodo36/100

OCS fluxes from a coastal Antarctic tundra and soils measured by in situ static chamber method and lab-based jar incubations

The Antarctic tundra, dominated by non-vascular photoautotrophs (NVP) like mosses and lichens, serves as a vital habitat for sea animals, which contribute organic matter and oceanic sulfur to the land, potentially influencing sulfur transformations. Here, we measured OCS fluxes from the Antarctic tundra and linked them to soil biochemical properties. This dataset therefore is collected from these experiments. It includes the figure source data associated with a peer-reviewed publication that is currently under review. Once the manuscript is published, the URL and DOI number will be provided here and this description will be updated accordingly. Results revealed that the NVP-dominated upland tundra acted as an OCS sink (-1.0 ± 0.6 pmol m-2 s-1), driven by NVP and OCS-metabolizing enzymes from soil microbes (e.g., Acidobacteria, Verrucomicrobia, and Chloroflexi). In contrast, tundra within sea animal colonies exhibited OCS emissions (1.4 ± 0.4 pmol m-2 s-1), resulting from the introduction of organosulfur compounds that stimulated concurrent OCS production. Furthermore, sea animal colonization likely influenced OCS-metabolizing microbial communities and further promoted OCS production. Overall, this study highlighted the role of sea animal activities in shaping soil-atmospheric exchange of OCS through interacting with soil chemical properties and microbial compositions.

opencc-by-4.0Jul 2023View details →

zenodo36/100

Characterisation of corrosion damage in T91/F91 steel exposed to static liquid lead-bismuth eutectic at 700-715 °C

ABSTRACT: T91 samples were exposed to static liquid lead-bismuth eutectic (LBE) at 700-715 °C for 250-500 h in either an oxidising or reducing environment. Corrosion damage was characterised using electron microscopy techniques, which identified networks of LBE intrusion beneath LBE-wetted surfaces. Under reducing conditions these networks are uniformly distributed, while they appear patchier and deeper under oxidising conditions. The individual intrusions preferentially follow microstructural features, initially along prior-austenite grain boundaries, followed by penetration down martensite lath boundaries. Local depletion of Cr was observed within 4 μm of LBE intrusions and along intersecting boundaries, suggesting local Cr dissolution as the main corrosion mechanism.

opencc-by-4.0Aug 2023View details →

zenodo36/100

Raman Database for static heating and high pressure deformation experiments

This database corresponds to all Raman analyses, as well as their processing, used in Moris-Muttoni et al. 2023 Tectonophysics.

opencc-by-4.0Sep 2023View details →

zenodo36/100

static water contact angle measurements of Ti40Zr10Cu36Pd14 bulk metallic glass and Ti6Al4V surfaces

static water contact angle measurements of Ti40Zr10Cu36Pd14 bulk metallic glass and Ti6Al4V surfaces: the measurments were first taken place on their etched surface and was repeated after they were incubated in orbital shaker in distilled water at 37˚C and 120 rpm for 48 hours.

opencc-by-4.0Sep 2023View details →

zenodo36/100

Where the Minor Things Are: additional interactive and static figures

Additional figures supporting the paper by Larue and Roy: Where the Minor Things Are: A Pan-Eukaryotic Survey Suggests Neutral Processes May Explain Much of Minor Intron Evolution (Nucleic Acids Research). Additional metadata for minor-intron-containing species is available at https://www.introns.info/WtMTA Note: files with the suffix "sig_mwu" are a subset of the data contained in the file without the suffix with significant Mann-Whitney U p-values when comparing minor and major-type introns or their parent genes. The following files are interactive plots comparing various features of minor and major introns across eukaryotes: - median_minor-major_intron_length.html | intron lengths - median_mig-non_mig_ipkbp.html | genic intron density (introns/gene) measured in introns/kbp coding sequence - median_mig-non_mig_gene_length.html | gene lengths of minor intron-containing genes (MIGs) vs other genes (non-MIGs) Finally, Larue_Roy_2023_full_tree_linear.pdf contains a linear (i.e., non-circular) phylogenetic tree with information about presence or absence of minor introns in the full dataset; this version of the tree is easier to use to search (e.g., via ctrl/cmd-f) for species of interest.

opencc-by-4.0Sep 2023View details →

zenodo36/100

Data for high-clay content submarine slope failure flume experiments. Experiment 25% clay, static 1, part 3.

These video and photographic data support the following manuscripts:Silver, M.M.W., Dugan, B., 2020, The influence of clay content on submarine slope failure: insights from laboratory experiments and numerical models, Geological Society of London, Special Publications, 500, 301-309, <a href="https://doi.org/10.1144/SP500-2019-186">https://doi.org/10.1144/SP500-2019-186</a>. Silver, M.M.W., Dugan, B., 2023, Cohesion, permeability, and slope failure dynamics: implications for failure morphology and tsunamigenesis from benchtop flume experiments, Marine Geology, 462, <a href="https://doi.org/10.1016/j.margeo.2023.107079">https://doi.org/10.1016/j.margeo.2023.107079</a>.Log sheets are included for each experiment file.