Coimbra 2030

Check more informations about the project on https://linktr.ee/coimbra2030

About Dataset

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you are given dataset which contains information about automobiles. The dataset contains 399 rows of 9 features

DATA OVERVIEW:

The dataset consists of the following columns:

• Name: Unique identifier for each automobile.
• MPG: Fuel efficiency measured in miles per gallon.
• Cylinders: Number of cylinders in the engine.
• Displacement: Engine displacement, indicating its size or capacity.
• Horsepower: Power output of the engine.
• Weight: Weight of the automobile.
• Acceleration: Capability to increase speed, measured in seconds.
• Model Year: Year of manufacture for the automobile model.
• Origin: Country or region of origin for each automobile.

This dataset consists of papers of universities in the top 30 Scopus Ranking of Ukrainian Universities (May 2023). The data was obtained from Scopus using the search query "AF-ID (“university name”) AND PUBYEAR < 2023 AND PUBYEAR > 2002". Rank-citation curves were also generated for the publications of each university. In this analysis, the rank of publications was plotted along the horizontal axis, while the corresponding citation counts were depicted on the left axis. All types of documents were included in the dataset.

This is trimmed and subsampled data corresponding to a single trial from the subject xUD004. This can be used to examine the synchronization of vision and kinematics. Move the content of this file to the 'Visualizations' directory on the github repository- https://github.com/abs711/The-way-of-the-future , and run 'custom_humanoid.m' to generate the visualization

Collision of a droplet chain of a 50% water-glycerol solution colliding with a continuous jet of silicon oil M5, which is a combination of immiscible liquids. The collision process leads to the separation of compound droplets, i.e., the droplets are encapsulated by the jet's liquid. The Cartesian simulation grid originally had a size of 2048 x 1024 x 256 cells covering a domain of 0.704 cm x 0.352 cm x 0.088 cm. The dataset consists of 157 output time steps covering a time span of 1.872 ms. Only half of the jet and droplets were simulated with a mirror boundary condition at the z=0 plane. We reduced the size of the here published data by converting all double-precision floating-point values to single-precision and cropping the grid to regions containing fluid. This results in a grid size of 2048 x 768 x 128 cells. Finally, the data is stored in the VTK XML file format utilizing the built-in zlib compression. The dataset is stored as a rectilinear grid and contains the following fields: f3-function[-]: volume fractions of the f3-field ("droplets") vof-function[-]: volume fractions of the f-field ("jet") n_c_3ph[1]: PLIC normals for the f-field in three-phase cells velocity[cm/s]: velocity-field In addition, two spatially downsampled variants of the dataset are attached. The 'ds1' directory is a downsampled variant where every eight cells were averaged to a single cell. The 'ds2' directory is downsampled the same way using the 'ds1' data. This simulation is a variant of the simulation initially presented in [1] using a slightly larger domain and was run on the Hawk supercomputer specifically for our paper. The specific method used in the simulation is presented in [2] and is implemented in FS3D [3]. References: [1] Potyka et al.: Towards DNS of Droplet-Jet Collisions of Immiscible Liquids with FS3D, https://doi.org/10.1007/978-3-031-46870-4_14. [2] Potyka and Schulte: A volume of fluid method for three dimensional direct numerical simulations of immiscible droplet collisions, https://doi.org/10.1016/j.ijmultiphaseflow.2023.104654. [3] Eisenschmidt et al., Direct Numerical Simulations for Multiphase Flows: An Overview of the Multiphase Code FS3D, https://doi.org/10.1016/j.amc.2015.05.095.

This depository contains videos obtained through high-speed schlieren imaging of acoustic waves propagating through air.

For each video (.avi format), the start of the name corresponds to the frequency of the wave (if a sine wave) or the frequency of its fundamental harmonic (if a square wave). This ranges from 110 Hz to 40 kHz. The next part of the filename corresponds to the type of waveform sent from the function generator to drive the speaker, either a square wave (sq1) or a sine wave (sine1); it should be noted that the actual audio output was limited by the frequency response of the speaker (which falls off sharply around 40 kHz), so a 'square' wave at 20 kHz will in practice be very similar to a sine wave. The last part of the filename describes the parameter changed for each trial. For the majority of videos, this describes the SPL of the speaker output, which falls in the range of 75 dB (for a 40 kHz sine wave) to 120 dB (for frequencies between 220 Hz and 15 kHz). For other videos, this describes a parameter of imaging: either frame rate (in frames per second x1000, kfps), exposure (microseconds, us). Files ending with '31kfps' have been imaged using a different camera position, to optimise the spatial resolution of the image.

Each .avi video file is accompanied by a .cih file; this contains metadata from the high-speed camera. When read as a text file, imaging parameters can be inspected.

This dataset contains data from 29-Dec-2022 till 29-Dec-2023. It has a total of 15 columns, which include Symbol Series, Date, PrevClose, OpenPrice, HighPrice, LowPrice, LastPrice, ClosePrice, AveragePrice, TotalTradedQuantity, Turnover, No.of trades, Symbol and Turnover.

This dataset supports the paper: "Visualization and Quantification of Geometric Diversity in Metal-Organic Frameworks".

The coarse-grained scaled and unscaled structures are provided here in CIF format. The code introduced in this work is subject to continuing development (and can be found at: https://github.com/tcnicholas/coarse-graining), therefore we include here the version of the code used for this paper alongside the Python analysis scripts.

The original unprocessed CIFs were extracted from the Cambridge Structural Database (CSD).

Scholarly readers can find Bekker numbers in all contemporary editions and translations of Aristotle's works in addition to or instead of page numbers. The Bekker pagination method, similar to other conventional systems for numbering pages, exhibits a notable lack of visual representation. The existing data consists of handwritten annotations, unanalyzed tabular data, and visuals from published scholarly works. The objective of the present visualization was to emphasize the importance of academic traditions and to bring attention to the lack of research on classical pagination techniques.The corresponding page numbers were compiled using Perseus's online version of The Nicomechean Ethics.

fastq file name definitions : The first S and W of the fastq file refer to Stomach contents and Water, respectively, and in the case of S, the second name refers to the scientific name of each fish [ex) M: Micropterus salmoides, Z: Zacco platypus, C: Carassius carassius].The next number represents the year and the next name represents the month. SM20A: August 2020 Stomach contents of Micropterus salmoides SM20O: October 2020 Stomach contents of Micropterus salmoides SM21J: July 2021 Stomach contents of Micropterus salmoides SZ20A: August 2020 Stomach contents of Zacco platypus SC21J: July 2021 Stomach contents of Carassius carassius W20A: August 2020 Water eDNA W21J: July 2021 Water eDNA