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174 results for “Rail”
Mail Rail Greenbat Engine
A greenbat engine in the Mail Rail exhibition (Post Museum), London. Photos taken January 2019 with a Sony a6000 and processed in Agisoft Photoscan. https://www.postalmuseum.org/discover/attractions/mail-rail-ride/ Source: Objaverse 1.0 / Sketchfab
Transport Rail cart
this is the remaining chassie of the transportation rail cart used in the moving of excavated stone or debris. this cart was used in the minimg insdustry or the creation of tunnels in mountain scapes Photogrammetry by **[Imad Farhat](https://instagram.com/imad.farhat)** Source: Objaverse 1.0 / Sketchfab
Rail crossing at Medemblik
One of the rail crossings at the old trainstation in Medemblik, Noord Holland. Beautiful steam locomotives still use the old station giving rides to tourists. Camera: Canon EOS M100 Photos: 64 Resolution: 6000x4000 Photogammetry processing was done on our custom Meshroom cluster. Hardware used was a Phenom II X6 1100T, R5 3600 (2x), R7 1700, R7 3700X, i3 4340, i5-8300H, GTX650, GTX660Ti BOOST, GTX1070, GTX1050Ti, GTX1650, RTX2070S, RTX2060. Source: Objaverse 1.0 / Sketchfab
Rail curved
The Curved Counterpart to Railway straight. The final piece to my asset pack assignment all of these are free to use Source: Objaverse 1.0 / Sketchfab
Datasets for "A superconducting dual-rail cavity qubit with erasure-detected logical measurements"
<p>Title of Dataset: Demonstrating a superconducting dual-rail cavity qubit with erasure-detected logical measurements<br>---</p> <p>Included are data shown in Figures 1-4 of the main text and Extended Data Figures 2 and 3 in the Methods.<br>Data was collected by running quantum programs on hardware deployed at Quantum Circuits, Inc. The results of these experiments are decoded and assigned an appropriate label (discussed below and in the manuscript). We provide various levels of processing: number of counts, fraction of counts, and the logical assignment. Full labeled shot-by-shot outcomes can be provided upon request.</p> <p>## Description of the data and file structure</p> <p>Description of column labels<br>- xs: sweep variable (if applicable)<br>- Counts:<br> - 00_counts, 01_counts, 10_counts, 11_counts: Number of runs with outcome labeled "00", "01", "10", "11", respectively<br> - A_counts: Number of runs with outcome labeled as ambiguous outcome<br> - FSP_counts: Number of runs with outcome labeled as a failed state preparation<br> - all_shots: Total number of runs<br> - total_counts: Number of runs with a successful state preparation (e.g. all_shots - B_counts)<br>- Outcome fraction<br> - 00, 01, 10, 11, A, FSP: Fraction of counts normalized by total_counts<br> - 00_err, 01_err, 10_err, 11_err, A_err, FSP_err: Standard error for all above<br>- Logical outcomes<br> - 0L, 1L, erasures, Z_L: Computed logical dual-rail outcome for "0_L", "1_L", erasures, and expectation value of logical sigma_z <Z>, respectively<br> - 0L_err, 1L_err, erasures_err, Z_L_err: Standard error for all above</p> <p>State assignment datasets:<br>- Fig2_state_assignment_1msmts.csv: Data for Figure 2<br>- ExtendedDataFig2_state_assignment_2msmts.csv: Data for Extended Data Figure 2</p> <p>Bit-flip datasets: <br>- Each row corresponds to a different delay specified in the xs column in units of microseconds<br>- Counts and Outcome fraction are plotted in Figure 3A<br>- Logical outcomes are plotted in Figure 3B<br>- Detail on datasets:<br> - Fig3_bit_flip_0L_1ms.csv: Data for Figure 3, left panel<br> - Fig3_bit_flip_0L_20us.csv: Data for Figure 3, left panel inset<br> - Fig3_bit_flip_1L_1ms.csv: Data for Figure 3, right panel<br> - Fig3_bit_flip_1L_20us.csv: Data for Figure 3, right panel inset</p> <p>Phase error datasets: <br>- Each row corresponds to a different delay specified in the xs column in units of microseconds<br>- Counts and Outcome fraction are plotted in the top panels for Figure 4A and 4B<br>- Logical outcomes are plotted in the bottom panel for Figure 4A and 4B<br>- Short time data are shown in the inset of bottom panel for Figure 4A and 4B. <br>- We provide additional detail for the short time data in Extended Data Figure 3 for short-time Ramsey<br>- Detail on ramsey_short_time.csv: Data includes an additional dimension where the Ramsey phase angle is swept<br> - values in radians are enumerated in ExtendedDataFig3_ramsey_short_time_phases.csv<br>- Detail on datasets:<br> - Fig4_ramsey_long_time.csv: Data for Figure 4A<br> - ExtendedDataFig3_ramsey_short_time.csv, ExtendedDataFig3_ramsey_short_time_phases.csv: Data for Figure 4A, inset (bottom panel); Data for Extended Data Figure 3<br> - Fig4_echo_long_time.csv: Data for Figure 4B<br> - Fig4_echo_short_time.csv: Data for Figure 4B, inset (bottom panel)</p>
Hyperloop CAES Rail Car Concept
<p>Why not make Hyperloop Pods that use railroad infrastructure, and a Compressed Air Energy Storage mechanism?</p>
Fig. 4 in A New Feather Mite Species of the Genus Metanalges (Acariformes: Analgidae) from the Okinawa Rail, Hypotaenidia okinawae (Gruiformes: Rallidae), in Okinawa Island, Japan
Fig. 4. Metanalges agachi sp. n., female, MPM Coll. No. 25252. A, Ventral view; B, dorsal view.
Fig. 5 in A New Feather Mite Species of the Genus Metanalges (Acariformes: Analgidae) from the Okinawa Rail, Hypotaenidia okinawae (Gruiformes: Rallidae), in Okinawa Island, Japan
Fig. 5. Metanalges agachi sp. n., female, MPM Coll. No. 25253. A–D, Legs I–IV.
Fig. 2 in A New Feather Mite Species of the Genus Metanalges (Acariformes: Analgidae) from the Okinawa Rail, Hypotaenidia okinawae (Gruiformes: Rallidae), in Okinawa Island, Japan
Fig. 2. Metanalges agachi sp. n., male, MPM Coll. No. 25250. A, Ventral view; B, dorsal view.
Amarāvatī, Andhra Pradesh. Railing fragment.
<p>Amarāvatī, Andhra Pradesh, India. Railing fragment. Government Museum, Chennai.</p>
PAN EUROPEAN RAIL NETWORK - Rail Baltica
<p>Rail Baltica demonstrator focus on deployment of autonomous drone flight command and controlled exclusively through cellular network. A drone as a service concept will be elaborated and demonstrated to be further incorporated in routine monitoring of Pan European railway infrastructure construction and exploitation stages.</p>
A secure future? Human urban and agricultural land use benefits a flightless island-endemic rail despite climate change
<p class="MsoNormal"><span>Identifying environmental characteristics that limit species' distributions is important for contemporary conservation and inferring responses to future environmental change. The Tasmanian native hen is an island-endemic flightless rail and a survivor of a prehistoric extirpation event. Little is known about the regional-scale environmental characteristics influencing the distribution of native hens, or how their future distribution might be impacted by environmental shifts (e.g., climate change). </span><span>Using a combination of local fieldwork and species distribution modelling, we assess environmental factors shaping the contemporary distribution of the native hen, and project future distribution changes under predicted climate change. We find 37.2% of Tasmania is currently suitable for the native hens, owing to low summer precipitation, low elevation, human-modified vegetation, and urban areas. <span>Moreover</span>, in unsuitable regions, </span><span>urban areas can create 'oases' of habitat, able to support populations with high breeding activity by providing resources and buffering against environmental constraints. Under climate change predictions, </span><span>native hens were predicted to lose only 5% of their occupied range by 2055. We conclude that the species is resilient to climate change and benefits overall from anthropogenic landscape modifications. As such, this constitutes a rare example of a flightless rail to have adapted to human activity.</span></p>
GEOLAB - Transnational Access project HSRTSUB - Resilient behaviour of stabilized and conventional high-speed's rail track subgrades under different drainage conditions and seat loads
<p>In this study, the shear strength of track ballast material is evaluated by testing different types of track ballast specimens, which was conducted in a Large-scale Triaxial Apparatus at ZAG ) that has a shear area of 40 cm x 40 cm and can accommodate specimens up to 80 cm high. It enable loading of specimens in simple shear mode.</p> <p>The tests, which were conducted within HSRTSUB project, include two different types of ballast, the fouled ballast samples and the clean ballast samples, and two different specimen preparation techniques (with and without compaction). The normal stresses used cover a wide range from 50 to 400 kPa.</p> <p>The European standard EN13450 "Aggregates for railway ballast" was used. This standard specifies the properties of aggregates obtained by processing natural, manufactured or recycled crushed unbound aggregates for use in the construction of the upper layer of railway track. For the purposes of this standard, the aggregate is referred to as track ballast.</p> <p>Tests were conducted under unsaturated conditions with two types of lightweight materials:</p> <p>- fouled ballast aggregates and</p> <p>- clean ballast aggregates</p>
Whitby Stone Co rail
The Whitby Stone Company was formed in 1832, by the same Whitby based businessmen who were involved in the horse-drawn Whitby and Pickering Railway. The aim of the Stone Company was to transport sandstone, ironstone and whinstone from the Grosmont area to a stone quay at Boghall, Whitby for export to such places as London, Margate, Ramsgate and Tangier.. G. W. Waddington was a founder member and is now buried in Grosmont churchyard. The unusual thing about this rail, from the earliest productive mine into the Cleveland ironstone in Grosmont, is that is it plateway rather than the usual bridge rail. The company name is cast on the underside. Source: Objaverse 1.0 / Sketchfab
Data from: Inferring the timing of long-distance dispersal between Rail metapopulations using genetic and isotopic assignments
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A secure future? Human urban and agricultural land use benefits a flightless island-endemic rail despite climate change
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King Rail and Common Moorhen egg pattern matching data
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Data from: Convergent morphological responses to loss of flight in rails (Aves: Rallidae)
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Data and code from: The impact of light-rail stations on income sorting in US urban areas
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Data from: A nocturnal rail with a simple territorial call eavesdrops on interactions between rivals
The behaviour of most animals has evolved in a communication network environment, in which signals produced by senders are perceived by many intended and unintended receivers. In this study, we tested whether the corncrake (Crex crex), a nocturnal rail species with innate (non-learned) calls, is able to eavesdrop on the interactions of conspecific males and how this eavesdropping affects subsequent responses by the eavesdropper to territorial intrusion. In the first step, simulated aggressive or neutral interactions between male dyads were presented to a focal male. In the second step, the calls of winning, losing or neutral males from the first step were played within the territory of the focal male. We measured behavioural and vocal responses of focal males. We found that corncrakes eavesdropped on signal exchange between rivals. Males often began responding to distant aggressive interactions during the eavesdropping phase, and they responded strongly during the intrusion phase of the experiments. The response was significantly weaker to playback of males from neutral interactions than to those involved in aggressive interactions, and we found no differences between the responses to Winners and Losers entering a focal male territory.
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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.