Find research datasets worth reusing

Fig. 2 Projected future changes for Dermacentor reticulatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus

Fig. 2 Projected future changes for Dermacentor reticulatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585. In dark blue: area projected as suitable under current climatic conditions but unsuitable under future climatic conditions (i.e., potential extinction). In light blue: area projected as unsuitable under current climatic conditions as well as under future climatic conditions (i.e., stable absence). In orange: area projected as suitable under current climatic conditions as well as under future climatic conditions (i.e., stable

Fig. 4 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus

Fig. 4 Area projected as suitable or unsutable under current and future (2081–2100) climatic conditions (km2) for the three tick species in comparison. a Ixodes ricinus. b Dermacentor reticulatus. c D. marginatus. The corresponding maps are shown in Figs. 1–3 in the main document. Future suitable conditions refers to the area (km2) projected as unsuitable under current climatic conditions but suitable under future climatic conditions (i.e., potential new range). Continuing suitable conditions refers to area (km2) projected as suitable under

Fig. 1 Projected future changes for Ixodes ricinus until 2081–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus

Fig. 1 Projected future changes for Ixodes ricinus until 2081–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585. In dark blue: area projected as suitable under current climatic conditions but unsuitable under future climatic conditions (i.e., potential extinction). In light blue: area projected as unsuitable under current climatic conditions as well as under future climatic conditions (i.e., stable absence). In orange: area projected as suitable under current climatic conditions as well as under future climatic conditions (i.e., stable range). In red:

Fig. 5 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus

Fig. 5 Potential co-occurrence under current and future climatic conditions. a Under near current climatic conditions (1970–2000). b Under projected future climatic conditions (exemplarily for SSP 245) for the period 2041–2060. c Under projected future climatic conditions (SSP 245) for the period 2081–2100. Colors indicate areas where climatic suitability is projected for the respective species; for non-mentioned species ("none of them"), the area is climatically unsuitable according to the modelling results. The thresholds to transform the logistic model output (10% omission rate threshold) are as follows: 0.3368 for Ixodes ricinus, 0.3816 for Dermacentor reticulatus, and 0.4298 for D. marginatus. Maps were built using ESRI Arc-GIS (Release 10.7, www.esri.com). Projection: Europe Albers Equal Area Conic. (A hatch-based version of this figure is additionally provided in the Supplementary Material: Figure S11.)

Fig. 3 Projected future changes for Dermacentor marginatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus

Fig. 3 Projected future changes for Dermacentor marginatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585. In dark blue: area projected as suitable under current climatic conditions but unsuitable under future climatic conditions (i.e., potential extinction). In light blue: area projected as unsuitable under current climatic conditions as well as under future climatic conditions (i.e., stable absence). In orange: area projected as suitable under current climatic conditions as well as under future climatic conditions (i.e., stable range). In red: area projected as unsuitable under current climatic conditions but suitable under future climatic conditions (i.e., potential new range). AUC = 0.8229 (average over 10 replicates using cross-validation, standard deviation = 0.001121953). Threshold to transform the logistic model output: 0.4298 (10% omission rate threshold). Maps were built using ESRI ArcGIS (Release 10.7, www.esri.com). Projection: Europe Albers Equal Area Conic

opencc-by-4.0Jul 2017View details →

BRAIN Journal-Swarm Robotics with Circular Formation Motion Including Obstacles Avoidance-Figure 14: Illustrate the Path of Move for robots on swarm robotics with the third obstacle type

The swarm movement and obstacle avoidance are shown in Figures 8, 9 and 10 for the first obstacle. Figures 11, 12 and 13 are to present the second obstacle and its avoidance. Figures 14, 15, 16 and 17 are to present the third obstacle and its avoidance. Figures 18, 19, 20 and 21 are to present the fourth obstacle and its avoidance. Figures 22, 23, 24 and 25 present the fifth obstacle and its avoidance

opencc-by-4.0Jul 2017View details →

BRAIN Journal-Swarm Robotics with Circular Formation Motion Including Obstacles Avoidance-Figure 6: Swarm Robotics Move Forward

The pseudo code description to calculate the Swarm robotics circular formation is given in Algorithm 3 and Figure 6.

opencc-by-4.0Sep 2019View details →

An evaluation of compression algorithms applied to moving object trajectories

This file contains the dataset, source code and results presented in the paper entitled "An evaluation of compression algorithms applied to moving object trajectories" published in the International Journal of Geographical Information Science in 2019. Abstract: The amount of spatiotemporal data collected by gadgets is rapidly growing, resulting in increasing costs to transfer, process and store it. In an attempt to minimize these costs several algorithms were proposed to reduce the trajectory size. However, to choose the right algorithm depends on a careful analysis of the application scenario. Therefore, this paper evaluates seven general purpose lossy compression algorithms in terms of structural aspects and performance characteristics, regarding four transportation modes: Bike, Bus, Car and Walk. The lossy compression algorithms evaluated are: Douglas-Peucker (DP), Opening-Window (OW), Dead-Reckoning (DR), Top-Down Time-Ratio (TS), Opening-Window Time-Ratio (OS), STTrace (ST) and SQUISH (SQ). Pareto Efficiency analysis pointed out that there is no best algorithm for all assessed characteristics, but rather DP applied less error and kept length better-preserved, OW kept speed better-preserved, ST kept acceleration better-preserved and DR spent less execution time. Another important finding is that algorithms that use metrics that do not keep time information have performed quite well even with characteristics time-dependent like speed and acceleration. Finally, it is possible to see that DR had the most suitable performance in general, being among the three best algorithms in four of the five assessed performance characteristics.

FIGURE 3 in Ichthyofauna on the move: fish colonization and spread through the São Francisco Interbasin Water Transfer Project

FIGURE 3 | Canonical analysis of principal coordinates (CAP) for the species and sites that contributed to the differences between basins and reservoirs (SF = São Francisco River basin, PB = Paraíba do Norte River basin, EAR = East Axis Reservoirs). Fitted site scores are colored and shaped according to the basin or EAR designation. A subset of species that explain at least 70% of the variation among sites is represented by species name abbreviation (two first letters of genus and the two first of the epithet). The only predictor significant for the linear model was richness.

FIGURE 2 in Ichthyofauna on the move: fish colonization and spread through the São Francisco Interbasin Water Transfer Project

FIGURE 2 | Seriated ordination of the species presence/ absence at the sampling sites of the East Axis of the São Francisco River Integration Project (SF-IWT). Black cells represent the presence of the species at a particular location. The species written in bold represents the new occurrence record in the receiving basin. In the upper right corner, Venn diagram showing species richness interactions between groups of sites. SF = São Francisco River basin, PB = Paraíba do Norte River basin, EAR = East Axis Reservoirs.

FIGURE 5 in Ichthyofauna on the move: fish colonization and spread through the São Francisco Interbasin Water Transfer Project

FIGURE 5 | Spatial distribution of Anchoviella vaillanti. The size of the circles represents juveniles/adults' abundance at each sampling site. The species went from the Sao Francisco donor basin through the SF-IWT East Axis artificial canals and reservoirs, reaching the receiving Paraíba do Norte basin sites, in the states of Pernambuco (PE) and Paraíba (PB), Brazil. DB = Donor basin, EAR = East Axis Reservoirs, RB = Receiving basin. Detailed location list of the sampling sites in Tab. S1.

FIGURE 1 in Ichthyofauna on the move: fish colonization and spread through the São Francisco Interbasin Water Transfer Project

FIGURE 1 | Schematic representation containing the monitored sites along the East Axis of the São Francisco River Integration Project (SFIWT) and the exact location of the new records of Anchoviella vaillanti in the Poções and Epitácio Pessoa Reservoirs. DB = Donor basin, EAR = East Axis Reservoirs, RB = Receiving basin. Detailed location list of the sampling sites in Tab. S1.

FIGURE 4 in Ichthyofauna on the move: fish colonization and spread through the São Francisco Interbasin Water Transfer Project

FIGURE 4 | Variation in the abundance of non-native species Anchoviella vaillanti and Moenkhausia costae in the Poções Reservoir (RB 1) in the campaigns conducted after the arrival of the SF-IWT waters.

opencc-by-4.0Oct 2024View details →

MoveD - Example of shared data with metadata

The example of Normdata contains a dataset of one person for spine movement while walking at four different walking speeds. Movement data are saved in json-files (fw: fast walking, nw: normal walking, sw: slow walking, xw: walking at self-selected speed). To convert the json files to mat files (for Matlab), a script (Normdata_Code_mat_to_json.m) is added.  The metadata (csv-files) are reported for the steps of the data life cycle:  <ul> <li>data collection, participant-specific information</li> <li>data collection, general information (valid for all subjects)</li> <li>data processing</li> <li>data analysis</li> <li>data sharing</li> </ul> A figure of the used marker set can be found in the publication by Rast et al, 2016, Between-day reliability of three-dimensional motion analysis of the trunk: A comparison of marker based protocols, <a href="http://dx.doi.org/10.1016/j.jbiomech.2016.02.030">http://dx.doi.org/10.1016/j.jbiomech.2016.02.030</a>.  The example of shared metadata of a project called ExerUP contains txt-files for metadata of each step of the data life cycle: <ul> <li>data collection (ExerUP_Metadata_Collect) and marker model (ExerUP_MarkerModel_Collect and ExerUP_Marker_Placement_anonymised.jpg)</li> <li>data processing (ExerUP_Metadata_Process)</li> <li>data analysis (ExerUP_Metadata_Analyze)</li> <li>data sharing (ExerUP_Metadata_Share)</li> </ul> The corresponding data is shared elsewhere. <a href="https://doi.org/10.7910/DVN/XBJXC4">https://doi.org/10.7910/DVN/XBJXC4</a> For more information on the project MoveD, see the <a href="https://zenodo.org/communities/moved/records?q=&l=list&p=1&s=10&sort=newest">Open Research Data Guidelines for Movement Laboratories</a>.

opencc-by-4.0Oct 2024View details →

Data set on corporate image of fast-moving consumer goods concerning cause-related marketing

The dataset consists of Corporate image of fast-moving consumer goods in connection with cause-related marketing.Dataset is based on questionnaire having thirteen five point scale likert scale statements along with the demographic variables.The questionnaire is drafted based on factors contributing to corporate image of fast-moving consumer goods concerning cause-related marketing such as consumer cause identification,Type of cause-related marketing campaigns,Guilt appeal and Inferred motive.The responses of likert scale statements were in the form of 'Strongly Agree', 'Agree', Neutral', 'Disagree', Strongly Disagree', and they were coded as 5,4,3,2,1 respectively for positive statements and 1,2,3,4,5 respectively for negative statements

opencc-by-4.0Feb 2024View details →

Weaving transnational spaces: Peruvian and Colombian suitcase traders moving across South American borders"

List of codes used to analyse the qualitative interviews as well as list of persons interviewed for this article

opencc-by-4.0Jul 2021View details →

Experimental sloshing pressure data from "Improving stability of moving particle semi-implicit method by source terms based on time-scale correction of particle-level impulses"

3D sloshing in a prismatic tank under translational coupled surge-sway (X and Y axis) motions. The main dimensions are height HT = 0.54m, width WT = 0.84m and length LT = 0.72m. The filling ratio of 50% (HF = 0.27m). The periods of surge and sway excitations are Ts = 1.25s with amplitude motions of Ax = 0.0144m (0.02 x length) and Ay = 0.0168m (0.02 x width). Files: experimental_slosh_h50_20cycles_p1_dt0p000100.txt: Experimental pressure data at sensor P1 slosh_3d_exp_timer: Experimental movie sloshing_tank_dimensions.pdf: Tank main dimensions   The experimental data was used in: Cheng, L.Y., Amaro Junior, R.A., Favero, E.H. (2021). Improving stability of moving particle semi-implicit method by source terms based on time-scale correction of particle-level impulses. Engineering Analysis with Boundary Elements, 131, 118-145. Available at. doi: <a href="https://doi.org/10.1016/j.enganabound.2021.06.018">https://doi.org/10.1016/j.enganabound.2021.06.018</a>

opencc-by-4.0Jul 2021View details →

How do King Cobras move across a major highway? Unintentional wildlife crossing structures may facilitate movement.

Data and code for Jones et al. (2021): How do King Cobras move across a major highway? Unintentional wildlife crossings may facilitate movement. Including: telemetry data, shapefiles, and R scripts to reproduce analysis.

opengpl-3.0Oct 2025View details →

moves-rwth/storm: v1.11.1

<ul> <li>Bug fixes in conditional probabilities computation with the (recent) bisection method.</li> <li>Sound value iteration diagnostics in debug mode are more robust.</li> <li>Improved support for ARM.</li> <li>Support for musl libc.</li> <li>Code quality fixes (reduced warnings)</li> </ul>