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363 results for “travel”
BRAIN Journal-An Efficient Combined Meta-Heuristic Algorithm for Solving the Traveling Salesman Problem-Figure 1. The Initial Empires
<p>The ICA is a novel global search strategy which uses imperialism and imperialistic competition process as a source of inspiration. This algorithm is based on the fact that in a real world, countries try to extend their power over other countries in order to use their resources and bolster their own government. The first step in ICA is to generate an initial population like other evolutionary algorithms. The population set includes a number of feasible solutions called a ‘country’, which corresponds to the term ‘chromosome’ in the GA method. These countries are of two types: colonies and imperialists that altogether form some empires. As it is shown in Figure 1 (Atashpaz Gargari & Lucas, 2007), bigger and stronger empires have more colonies than smaller and weaker ones.</p>
BRAIN Journal-An Efficient Combined Meta-Heuristic Algorithm for Solving the Traveling Salesman Problem-Figure 2. Eliminate the weakest colony of the weakest empire
<p>After initial empires are formed, their colonies start moving toward their relevant imperialist country. This movement is a simple model of assimilation policy which was pursued by some of the imperialist states. If one of the colonies possesses more power than its relevant imperialist after this movement, they will exchange their positions. To begin the competition between empires, the total objective function of each empire should be calculated. It depends on the objective function of both an imperialist and its colonies. Imperialistic competition among these empires forms the basis of the proposed evolutionary algorithm. During this competition, weak empires collapse and powerful ones take the possession of their colonies - Figure 2 (Atashpaz Gargari & Lucas, 2007). The empire, which has lost all its colonies, will collapse. </p>
Instances for the Traveling Salesman Drone Station Location Problem (TSDSLP)
<p>This dataset contains some TSDSLP instances. More precisely, each instance specifies the location of the depot, the drone stations, and the customers as coordiantes in the Euclidean space.</p>
Approximate map of Sulemaana Kantè's post-1941 travels and history of residence in West Africa
<p>Approximate map of Kantè’s post-1941 travels and history of residence in West Africa. Originally appeared in the following:</p> <p>Donaldson, Coleman. 2017. “Clear Language: Script, Register and the N’ko Movement of Manding-Speaking West Africa.” Doctoral Dissertation, Philadelphia, PA: University of Pennsylvania. Philadelphia, PA. <a href="https://repository.upenn.edu/dissertations/AAI10681364/">https://repository.upenn.edu/dissertations/AAI10681364/</a>.</p> <p>Created with data from the following sources:</p> <p>Amselle, Jean-Loup. 2003. “Peut-on être musulman sans être arabe? : A propos du N’ko malinké d’Afrique de l’Ouest.” In <em>Islam et villes en Afrique au sud du Sahara: entre soufisme et fondamentalisme</em>, edited by Adriana Piga and Costanza Ventura, 257–69. Paris: Karthala.</p> <p>Kántɛ, Sùlemáana. 1968. <em>Ɲìninkalibá’ 5 n’à jáabi’</em> ߢߌ߬ߣߌ߲߬ߞߊ߬ߟߌ߬ߓߊ ߅ ߣߴߊ߬ ߖߊ߯ߓߌ [Five Big Questions and Their Answer]. Edited by Bàbá Màmádi Jàanɛ.</p> <p>Oyler, Dianne White. 2005. <em>The History of the N’ko Alphabet and Its Role in Mandé Transnational Identity: Words as Weapons</em>. Cherry Hill, NJ: Africana Homestead Legacy Publishers.</p> <p>Sangaré, Mahmoud. 2011. <em>Jón yé Sòlomána Kántɛ́ dí?</em> ߖߐ߲߫ ߧߋ߫ ߛߟߏ߬ߡߣߊ߫ ߞߊ߲ߕߍ߫ ߘߌ߫؟ [Who Is Sulemaana Kantè?]. Bamako, Mali.</p> <p>--</p> <p>Blog: <a href="https://ajami.hypotheses.org/">https://ajami.hypotheses.org/</a><br> Project: <a href="https://www.manuscript-cultures.uni-hamburg.de/ajami/index_e.html">https://www.manuscript-cultures.uni-hamburg.de/ajami/index_e.html</a></p>
Supporting Datasets for 'The longest documented distance traveled by a West Indian manatee'
<p>This dataset contains multiple sources of geospatial and environmental data used for the analysis of Tico's journey. This is a West-Indian manatee that was rescued, rehabilitated and tracked after release. Tico traveled approximately 4,017 km over 62 days through deep oceanic waters. Correlating Tico's trajectory and velocity with surface currents revealed the influence of the North Brazil Current (NBC) and its vortices on his trajectory. The data integrates satellite remote sensing, ocean reanalysis, .</p> <p>The dataset include:</p> <ol> <li> <p><strong>Geographic locations of Tico (Delemetry Data)</strong></p> </li> <li> <p><strong>General Bathymetric Chart of the Oceans (GEBCO)<br></strong></p> </li> <li> <p><strong>NEMO - Global Ocean Physics Analysis and Forecast data: </strong>Surface current data from the NEMO model provided by CMEMS (GLORYS reanalysis).<strong><br></strong></p> </li> <li> <p><strong>HYCOM Global Ocean Forecasting System (GOFS) 3.1 Analysis:<br></strong></p> </li> <li> <p><strong>OSCAR - Ocean Surface Current Analyses Real-time<br></strong></p> </li> <li> <p><strong>Soil Moisture Active Passive (SMAP)<br></strong></p> </li> <li> <p><strong>Integrated Multi-satellite Retrievals for Global Precipitation Measurements (IMERG)</strong></p> </li> </ol> <p><strong>Disclaimer:</strong></p> <p>This dataset is a compilation of various data sources, each of which may be subject to its own specific licensing terms and conditions. Users of this dataset are strongly advised to review the license associated with each individual sub-dataset before using, modifying, or redistributing the data. While we have provided the dataset under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, certain sub-datasets may have additional restrictions or requirements, such as attribution, non-commercial use, or limitations on derivative works. It is the responsibility of the user to ensure compliance with all applicable licenses. Please refer to the original data sources and their respective licenses for detailed information.</p>
Files for the numerical results shown in "Far-from-equilibrium travelling pulses in sloped semi-arid environments driven by autotoxicity effects" by Gabriele Grifò, Annalisa Iuorio, and Frits Veerman
<p>This folder contains the code used to produce Fig. 1 and Fig. 8-10 in the paper: "Far-from-equilibrium travelling pulses in sloped semi-arid environments driven by autotoxicity effects" by Gabriele Grifò, Annalisa Iuorio, and Frits Veerman. The preprint version of this paper is available at <a href="https://arxiv.org/abs/2405.1560">https://arxiv.org/abs/2405.1560</a>.</p> <p>In the subfolder "Direct_simulations", the code (to obtain Fig. 1) is based on a MATLAB routine which uses finite differences for spatial discretization with periodic boundary conditions together with MATLAB’s ode15s routine for time integration.</p> <p>The continuation procedure (to obtain Fig. 8-10) is shown in the subfolder "Continuation" based on the software AUTO to analyse the dependence of the constructed travelling pulse solutions of Eq. (3.2) with respect to three system parameters, i.e. A, D, and H. Correspondingly, in each folder 'Continuation_X' where X=A, D, H, the results can be obtained by running the file 'AUTO_script_cont_X', based on the two files 'parab_X.f90' and 'c.parab_X'.</p> <p>Selected solutions for each continuation are stored in the corresponding subfolders 'solutions_X', whereas the tables resulting from the continuation procedure in the scripts are shown in the files 'bifdiag_X.dat'. In each script file further details are provided in order to clarify how to extract the solutions used for the plots.</p>
Wikidata and DBpedia Space Travel Data Comparison with ABECTO
<p>This is an <a href="https://github.com/fusion-jena/abecto">ABECTO</a> execution plan to compare space travel data from <a href="https://www.wikidata.org">Wikidata</a> and <a href="https://www.dbpedia.org">DBpedia</a> and the according results.</p> <p>The generated result data are derived from the compared knowledge graphs, which are licensed as follows:</p> <ul> <li><a href="https://www.dbpedia.org">DBpedia</a> by DBpedia Association (<a href="http://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License">CC BY-SA 3.0</a>)</li> <li><a href="https://wikidata.org">Wikidata</a> (<a href="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0</a>)</li> </ul>
TEI/XML Files of Travel Diaries of Moravian See Voyages
Open the record for dataset details and reuse information.
Fig. 6 in Activity budget, travel distance, sleeping time, height of activity and travel order of wild East Bornean Grey gibbons (Hylobates funereus) in Danum Valley Conservation Area
Fig. 6. Average daily travel distance and average sleeping time of the JACUZZI male for May–June (dry season) and December (wet season) from 2011 to 2013. Travel distance was counted for 13 days in August and for 13 days in December. Sleeping time was counted for 14 days in August and for 15 days in December. Solid line: travel distance. Dotted line: sleeping time.
Fig. 3 in Activity budget, travel distance, sleeping time, height of activity and travel order of wild East Bornean Grey gibbons (Hylobates funereus) in Danum Valley Conservation Area
Fig. 3. Activity budget of the SAPA male in both wet season (December) and dry season (August) from 2005 to 2008.
Fig. 2 in Activity budget, travel distance, sleeping time, height of activity and travel order of wild East Bornean Grey gibbons (Hylobates funereus) in Danum Valley Conservation Area
Fig. 2. Location of the BRL, the territory of the SAPA group and the territory of the JACUZZI group. The grey area represents the territory.
Fig. 1 in Activity budget, travel distance, sleeping time, height of activity and travel order of wild East Bornean Grey gibbons (Hylobates funereus) in Danum Valley Conservation Area
Fig. 1. Location of the Borneo Rainforest Lodge (BRL) in the Danum Valley Conservation Area (DVCA; arrow), Sabah, Malaysia.
Fig. 5 in Activity budget, travel distance, sleeping time, height of activity and travel order of wild East Bornean Grey gibbons (Hylobates funereus) in Danum Valley Conservation Area
Fig. 5. Average daily travel distance and average sleeping time of the SAPA male for August (dry season) and December (wet season) from 2003 to 2008. Travel distance was counted for 38 days in August and for 35 days in December. Sleeping time was counted for 39 days in August and for 37 days in December. Solid line: travel distance. Dotted line: sleeping time.
Fig. 4 in Activity budget, travel distance, sleeping time, height of activity and travel order of wild East Bornean Grey gibbons (Hylobates funereus) in Danum Valley Conservation Area
Fig. 4. Activity budget of the JACUZZI male and the JACUZZI female in both wet season (December) and dry season (May–June) from 2011 to 2013.
Fig. 8 in Activity budget, travel distance, sleeping time, height of activity and travel order of wild East Bornean Grey gibbons (Hylobates funereus) in Danum Valley Conservation Area
Fig. 8. Heights of diurnal activity of three gibbons (two males and one female) from 0530–1600 hours.
PAsCAL WP6 Pilot 5 Vulnerable Travellers in Connected Transport Environments Video
<p>A summary video documenting and introducing the activities of pilot 5 of the PAsCAL real-world pilots. The part of the pilot which is documented in the video took place within the wider Madrid transport network between May and November 2021. The participants tested the Apertum mobile application (https://apertum.world/) and three groups of potential users were recruited:</p> <ol> <li>Elderly citizens (65+ years), via the non-for-profit organisation Nadiesolo;</li> <li>Paraplegic citizens with permanent mobility constraints and in many cases reduced hand mobility, via the medical centre FLM (Fundación Lesionado Medular);</li> <li>Citizens who were confronted with temporary mobility constraints (e.g., carrying heavy luggage, baby strollers, using crutches or wheelchairs to simulate temporary injuries).</li> </ol>
PAsCAL WP6 Pilot 5 Experience of Vulnerable Travellers in Connected Transport Environments
<p>These three datasets were collected within the context of the PAsCAL research project between May and November 2021. Each survey included a different user group and all activities were conducted in different places:</p> <ol> <li>Apertum Testing: 165 individual testers used the Apertum (https://apertum.world/) mobile application for step-free public transport information. These participants consisted of elderly persons (65+ years old), paraplegic users and persons with temporary mobility constraints (like injuries or persons who use baby strollers or heavy luggage). The testing took place in 3 different locations and followed 3 different scenarios to ensure that the routing or departure point of the user does not influence their acceptance of the CAV solution;</li> <li>UI-UX Testing: The same application was tested by 20 additional persons (half of them digital natives and half of them digital nomads) in Madrid, Spain. For the UI-UX testing, a few standard tasks were defined and the participants were able to familiarise themselves with the application for 30 minutes before the testing started. The WAMMI methodology was applied, consisting of a survey that is to the point.</li> <li>Focus Discussion Groups: The FDGs took place across 4 cities in Italy (Rome, Bologna, Milan and Naples) and included a diverse range of 51 blind and partially sighted persons. The participants attended a short briefing about autonomous and connected mobility and shared their experiences, opinions and attitudes freely before completing a survey to report on their freedom of travel, their needs and attitudes towards CAVs.</li> </ol> <p>In order to analyse the answers given to the questions, it is recommended to consult also the "PAsCAL WP6 Pilots Surveys" dataset, which contains all questions and possible answers.</p>
datasat literatur review online business AND air travel
<p>DATA INI DIGUNAKAN UNTUK MEMBUAT PENELITIAN BERDASARKAN TINJAUAN LITERATUR DENGAN KATA KUNCI "ONLINE BUSINESS" dan "air travel"</p>
Figure 4 in Pathway Analysis: Likelihood of Coffee Berry Borer (Hypothenemus hampei Ferrari) Introduction into the Hawaiian Islands by Air Passenger Travel
Figure 4. Probability for the estimated annual passenger entries with CBB-infested materials: (a) to Hawaii from CBB-occurring countries; (b) between Hawaii island and Oahu; (c) between Oahu and Maui; (d) between Oahu and Kauai; (e) between Hawaii island and Maui; (f) between Maui and Kauai; (g) between Hawaii island and Kauai; (h) between Oahu and Lanai.
Figure 1 in Pathway Analysis: Likelihood of Coffee Berry Borer (Hypothenemus hampei Ferrari) Introduction into the Hawaiian Islands by Air Passenger Travel
Figure 1. World coffee production with CBB world distribution: a) 2019 coffee produc- tion (FAO 2020); b) CBB distribution by introduction year (Vega et al. 2015).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.