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24 results for “Taxis”
Example dataset for taxi simulatoin
<p>This is an example dataset, containing pre-processed taxi trips from Manhattan, New York City, to be used with the simulation code available at <a href="https://github.com/dkondor/taxi_simulation">https://github.com/dkondor/taxi_simulation</a></p> <p>Trip data originally comes from the NYC Taxi and Limousine Commission:<br> <a href="https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page">https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page</a></p> <p>Road network data comes from <a href="https://openstreetmap.org">OpenStreetMap</a>, available under the <a href="https://opendatacommons.org/licenses/odbl/">Open Data Commons Open Database License</a></p> <p>The following files are included in this dataset:</p> <p>1. Road network data:<br> NYC_nodes.csv includes a list nodes with a node ID, longitude and latitude. Node IDs range between 1 and 4091 (inclusive).<br> NYC_segments.csv includes a list of directed edges between the above nodes, with distances along the edges given in meters.</p> <p>2. Trip data:<br> The files nytrips_{day}.bz2 (with {day} ranging from 14975 to 15339) contain trips happening in each day in 2011. These are CSV files compressed with bzip2, without header. The columns include the taxi ID (arbitrary numeric ID), trip start and end timestamp (UNIX timestamp without time zone), trip start and end node ID (corresponding to one of the nodes in the above network files).</p> <p>3. Trip start distribution:<br> trip_start_dist.dat is an example distribution of trip start locations, i.e. node IDs along with the number of trips starting there in a one week period.</p> <p>4. Travel times and indexes:<br> nyc_travel_times.zip contains a set of binary matrices containing travel times and an index for these that is used by the simulations; these were generated from the trips according to the methodology described in the following paper:<br> Santi, P., Resta, G., Szell, M., Sobolevsky, S., Strogatz, S. H., & Ratti, C. (2014). Quantifying the benefits of vehicle pooling with shareability networks. <em>PNAS</em>, <em>111</em>(37), 13290–13294. https://doi.org/10.1073/pnas.1403657111<br> </p> <p> </p> <p> </p>
Cost of Taxis in Bamako (2018)
<p>This dataset is a list of 60 taxi rides taken by me (Coleman Donaldson) in Bamako during research fieldwork in Bamako in April-May 2018 and November 2018.</p> <p>Each datapoint is for the negotiated cost of taxi rides that I took throughout Bamako. The estimated distance was calculated by doing a Google Maps search for directions between the start and end destination. In cases in which multiple routes were suggested, I selected the distance that most closely mirrored the route that I recall us taking.</p> <p>The shareable version of the dataset is "taxis.csv". In this version, I have stripped out identifying information related to exact start and end destination as well as the exact date of the trips.</p>
"I am a journalist myself, working for a public radio and television in the Netherlands. As a radio reporter Ivisited Bangladesh just after the cyclone Sidr hit the coastal area in November 1997 (…) Itravelled to the islands on a boat. On that boat were two boatmen and one of them started singing while we were sailing. As Igeotagged this song you can see exactly where it was. Iwas staying at that time in Pirojpur, took a taxi to the river and got a boat. Along tall typical motorboat. It was a journey of three-quarters of an hour during which he sang two songs." [Jeroen/zeshoog]12 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"I am a journalist myself, working for a public radio and television in the Netherlands. As a radio reporter Ivisited Bangladesh just after the cyclone Sidr hit the coastal area in November 1997 (…) Itravelled to the islands on a boat. On that boat were two boatmen and one of them started singing while we were sailing. As Igeotagged this song you can see exactly where it was. Iwas staying at that time in Pirojpur, took a taxi to the river and got a boat. Along tall typical motorboat. It was a journey of three-quarters of an hour during which he sang two songs." [Jeroen/zeshoog]12
New York Taxi Usage 2014
<p>Data sourced from https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page by https://arxiv.org/pdf/1510.03336.pdf</p> <p>Data for Zenodo backup taken from https://github.com/stanford-futuredata/ASAP/blob/master/Taxi.csv .</p> <p>Stored on Zenodo as backup for Stumpy bAsics tutorial on https://stumpy.readthedocs.io/en/latest/Tutorial_STUMPY_Basics.html .</p>
RAF Taxi Van low-poly
Passenger taxi van, based mostly on RAF-2203 van made in Riga Bus Factory from, like, 196something to 1997. The only proper light motor vehicle to ever be made in my home country of Latvia. Since i am still learning Maya, it is probably not as low poly as it could be, but i'm trying. Source: Objaverse 1.0 / Sketchfab
Terra sigillata dish - Tour & Taxis, Brussels
Terra sigillata dish/shallow bowl (type Curle 15) dated to the 2nd century AD. Discovered during excavations in 2015 on the site of Tour & Taxis, Brussels. Ecuelle en terre sigillée de type Curle 15, daté du 2e siècle. Découvert lors des fouilles archéologiques en 2015 sur le site de Tour & Taxis à Bruxelles. Een terra sigillata schotel van het type Curle 15, te dateren uit de 2de eeuw. Ontdekt tijdens de archaeologische opgravingen in 2015 op de site van Thurn & Taxis in Brussel. Source: Objaverse 1.0 / Sketchfab
Kerala taxi
<p>Kerala taxi cabs are getting more celebrated in Kerala. There is numerous dynamic taxi administrations are in Kerala. So how might we locate the best taxicab administrations? The prime essential factor is to what extent they had the involvement in this field. Accomplished taxicab administrations know how to deal with different circumstances with clients. They will know all administrations courses. Another approach to locate the best travel organization is to check what al highlights are they giving. Other than transportation office some can administrations gives tourism offices like backwater tourism, special first night trips and furthermore other holyday trips. They should know about all traveller puts in that place. A decent keralataxi cab administrations should ready to meet their client necessities. They ought to know about best inns , eateries , site seeing spots, easy route courses, on the grounds that the client are new individual in that place they didn't know about much things so the administration organization should deal with them. Another imperative thing is the taxicab administration ought to contain al sort vehicles like, autos, suv autos, beat voyager, small transports and furthermore air transport administrations. They ought to likewise give high need business trip bundles. </p>
Motorbike taxi and passengers at risk in Douala
<p>A motorbike modified (illegally) by local garage owners to enable motorbike taxi drivers to carry up to seven passengers.</p>
Initial results in dimensionality reduction of taxi DropOut-PickUp regions
<p>Initial results with respect to dimensionality reduction of taxi PickUp-DropOut regions from New York City, Manhattan region, YellowCab company (2018 year, first 7 months). The dimensionality reduction is done separately for all working days and weekends using t-SNE, an SVD, and a simple deep autoencoder. The clustering quality assessment in two-dimensional space in which dimensionality reduction is done is conducted by using Silhouette, Calinski-Harabasz, and Davies-Bouldin metrics. Furthermore, the 15-minute taxi data aggregation is used.</p>
Raw Taxi Data for the d+Au direct photon analysis
<p>Raw Taxi Data for the d+Au direct photon analysis. This files are primarily intended for building software images.</p>
Actuated Taxi location data.
<p>This is a dataset of location data used for actuated taxi data related to paper:</p> <p>Chen, X., Xu, S., Fu, H., Joe-Wong, C., Zhang, L., Noh, H. Y., & Zhang, P. (2019, April). ASC: actuation system for city-wide crowdsensing with ride-sharing vehicular platform. In <em>Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering</em> (pp. 19-24). ACM.</p>
Donaustauf Thurn-u. Taxis Apotheke
<p>Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a <br>German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. <br>gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): <br>https://kalliope-verbund.info/DE-611-BF-70963<br>[Funktion: Im Findbuch anzeigen]<br>Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot <br>be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf <br>Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht <br>veröffentlicht werden dürfen).</p>
Motorbike taxis drivers pass under a lorry during a traffic jam in Douala
<p>Motorbike taxis drivers pass under a lorry during a traffic jam in Douala</p>
Randomized Controlled Trial Examining Health Care Access Interventions for Taxi Drivers
ClinicalTrials.gov study NCT02508363. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Tailored Axillary Surgery With or Without Axillary Lymph Node Dissection Followed by Radiotherapy in Patients With Clinically Node-positive Breast Cancer (TAXIS)
ClinicalTrials.gov study NCT03513614. IPD Sharing: Not stated. Countries: 13. Publications: 4.
Exposure of Taxi Drivers to Ultrafine Particles and Black Carbon Within Their Vehicles
ClinicalTrials.gov study NCT03839537. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Yellow Taxi Rides Manhattan Divided By Day
Open the record for dataset details and reuse information.
Taxi ROADmAP (Realizing Optimization Around Diet And Physical Activity)
ClinicalTrials.gov study NCT05770570. IPD Sharing: YES. Countries: 1. Publications: 0.
SLR Self Driving Taxi
<p><span>The development of technology in cars is very rapid because it’s assisted by extraordinary technological developments. Artificial Intelligence is a sophisticated system that really helps our lives, including the development of car technology. With AI, many things that previously had to be done manually can now be automated. Including vehicles for public transportation like taxis. Usually, a taxi must have a driver who picks us up and takes us. However, technological developments starts to take us towards full-autonomous taxis or driver-less taxis. For this reason, this research paper conduct a Systematic Literature Review (SLR) which discusses the implementation of a full-autonomous driving system in taxis. In this SLR, we will answer three research questions. Those are, What kind of AI algorithms that are most widely used in full-autonomous driving systems; What is the impact of autonomous taxis on the security and safety of other road users; and What is the impact of the use of autonomous taxis on urban transportation. These research questions will be answered using the PRISMA method. As a result, we found that the AI algorithms most frequently used in full-autonomous driving systems are Machine Learning and Deep Neural Networks. Meanwhile for autonomous taxis with the safety of other road users, safety features, prevention, and cooperation of the system with sensors have produced good results by maintaining the safety of pedestrians and other road users. For conclusion in this paper, we conclude that the use of autonomous taxis could bring efficiency in the public transportation sector</span></p>
Improving Motorcycle Taxi Driver Visibility in Tanzania
ClinicalTrials.gov study NCT01733537. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.