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                "en": "1. Introduction The file “gen_dd_channel.zip” is a package of a wideband multiple-input multiple-output (MIMO) stored radio channel model at 140 GHz in indoor hall, outdoor suburban, residential and urban scenarios. The package consists of 1) measured wideband double-directional multipath data sets estimated from radio channel sounding and processed through measurement-based ray-launching and 2) MATLAB code sets that allows users to generate wideband MIMO radio channels with various antenna array types, e.g., uniform planar and circular arrays at link ends. 2. What does this package do? Outputs of the channel model The MATLAB file “ChannelGeneratorDD_hexax.m” gives the following variables, among others. The .m file also gives optional figures illustrating antennas and radio channel responses. Variables Descriptions CIR MIMO channel impulse responses CFR MIMO channel frequency responses Inputs to the channel model In order for the MATLAB file “ChannelGeneratorDD_hexax.m” to run properly, the following inputs are required. Directory Descriptions data_030123_double_directional_paths Double-directional multipath data, measured and complemented by ray-launching tool, for various cellular sites. User’s parameters When using “ChannelGeneratorDD_hexax.m”, the following choices are available. Features Choices Channel model types for transfer function generation Antenna / beam shapes List of files in the dataset MATLAB codes that implement the channel model The MATLAB files consist of the following files. File and directory names Descriptions readme_100223.txt Readme file; please read it before using the files ChannelGeneratorDD_hexax.m Main code to run; a code to integrate antenna arrays and double-directional path data to derive MIMO radio channels. No need to see/edit other files. gen_pathDD.m, randl.m, randLoc.m Sub-routines used in ChannelGeneratorDD_hexax.m; no need of modifications. Hexa-X channel generator DD_presentation.pdf User manual of ChannelGeneratorDD_hexax.m. Measured multipath data The directory \"data_030123_double_directional_paths\" in the package contains the following files. Filenames Descriptions readme_100223.txt Readme file; please read it before using the files RTdata_[scenario]_[date].mat Containing double-directional multipath parameters at 140 GHz in the specified scenario, estimated from radio channel sounding and ray-tracing. description_of_data_dd_[scenario].pdf Explaining data formats, the measurement site and sample results. References Details of the data set are available in the following two documents: The stored channel models A. Nimr (ed.), \"Hexa-X Deliverable D2.3 Radio models and enabling techniques towards ultra-high data rate links and capacity in 6G,\" April 2023, available: https://hexa-x.eu/deliverables/ @misc{Hexa-XD23, author = {{A. Nimr (ed.)}}, title = {{Hexa-X Deliverable D2.3 Radio models and enabling techniques towards ultra-high data rate links and capacity in 6G}}, year = {2023}, month = {Apr.}, howpublished = {https://hexa-x.eu/deliverables/}, } Derivation of the data, i.e., radio channel sounding and measurement-based ray-launching M. F. de Guzman, P. Koivumäki and K. Haneda,\"Double-directional multipath data at 140 GHz derived from measurement-based ray-tracer,\" in Proc. 95th Veh. Tech. Conf. (VTC2022-Spring), Helsinki, Finland, June 2022. @INPROCEEDINGS{Deguzman22_VTC, author={De Guzman, Mar Francis and Koivumäki, Pasi and Haneda, Katsuyuki}, booktitle={2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)}, title={Double-directional Multipath Data at 140 GHz Derived from Measurement-based Ray-launcher}, year={2022}, volume={}, number={}, pages={1-6}, doi={10.1109/VTC2022-Spring54318.2022.9860818} } Finally, the code “randl.m” are from the following MATLAB Central File Exchange. Hristo Zhivomirov (2023). Generation of Random Numbers with Laplace Distribution (https://www.mathworks.com/matlabcentral/fileexchange/53397-generation-of-random-numbers-with-laplace-distribution) MATLAB Central File Exchange. Retrieved February 15, 2023. Data usage terms Any usage of the data must be upon consent on the following conditions: The file “ChannelGeneratorDD_hexax.m” is owned by OUL. Contact: Dr. Pekka Kyösti, Pekka.Kyosti@oulu.fi. The other files and those in the directories, except for “randl.m”, are owned by AAU. Contact: Mr. Mar Francis de Guzman, francis.deguzman@aalto.fi. When a scientific paper is published that exploits the data and code, please cite this data set; the citation can be downloaded from the zenodo page of this data set."
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                "en": "A series of simulated thickness profiles of atomic layer deposition (ALD) film grown in a wide lateral high-aspect-ratio (LHAR) microchannel is archived as an Excel file. This dataset has been published as Figure 4 in the publication \"Conformality of atomic layer deposition in microchannels: impact of process parameters on the simulated thickness profile\" (Yim and Verkama et al., Phys. Chem. Chem. Phys. 24 (2022) 8645-8660. https://doi.org/10.1039/D1CP04758B) A diffusion-reaction model by Ylilammi et al. (Ylilammi et al., J. Appl. Phys. 123 (2018) 205301. https://doi.org/10.1063/1.5028178) was re-implemented for the simulation. For this simulation, a channel height of 500 nm, which is a typical height for microscopic PillarHallTM LHAR test chips (Yim and Ylivaara et al., Phys. Chem. Chem. Phys., 22 (2020) 23107-23120. https://doi.org/10.1039/D0CP03358H) was used. The Excel file consists of 11 tabs in total: metadata, baseline thickness profile, and Fig4a to Fig4i. The baseline thickness profile and data of fig4a Fig4i are also available as a CSV file. The metadata page describes the data with its baseline conditions. The baseline conditions used in the simulation are: sticking coefficient = 0.01, temperature = 250 °C, initial partial pressure of Reactant A = 100 Pa, molar mass of Reactant A = 0.100 kg mol-1, hard-sphere diameter of Reactant A = 6 × 10-10 m, partial pressure of inert gas I = 500 Pa, molar mass of inert gas I = 0.028 kg mol-1, hard-sphere diameter of inert gas I = 3.74 × 10-10 m, mass density of deposited film = 3500 kg m-3, areal number density of metal M atoms in MyZx material = 4 nm-2, number of metal atoms in a Reactant A molecule = 1, number of metal atoms in a formula unit of growing film = 1, number of cycle = 250, desorption probability = 0.01 s-1, channel height = 500 nm, and channel width = 10 mm. The baseline thickness profile tab contains a thickness profile obtained in the baseline conditions as film thickness versus distance within a microchannel. The thickness profile stored from Fig4a to Fig4i tabs was obtained by varying individual parameters with other parameter values in baseline conditions: initial partial pressure of Reactant A (Fig4a), pulse time (Fig4b), molar mass of Reactant A (Fig4c), mass density of deposited film (Fig4d), adsorption density (Fig4e), desorption probability (Fig4f), sticking coefficient (Fig4g), temperature (Fig4h) and partial pressure of inert gas (Fig4i)."
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                "en": "This dataset includes probability distributions of projected mean sea level in Finland in 2030, 2040, ... 2100, as well as time series of projected mean sea level 2005-2100. Data is provided for 13 tide gauge locations and 3 emission scenarios: low (RCP2.6 / SSP1-2.6), medium (RCP4.5 / SSP2-4.5), and high (RCP8.5 / SSP5-8.5).\r\n\r\nThere are two data packages, distributions.zip and timeseries.zip. The data files included in these packages are tab- or space-delimited text files with the file extension .dat.\r\n\r\nAll filenames start with a three-character code xxx that determines the tide gauge (1-letter symbol) and the emission scenario (2 digits). For example:\r\n\r\nv26 means Vaasa, low emission scenario (RCP2.6 / SSP1-2.6)\r\ne45 means Helsinki, medium emission scenario (RCP4.5 / SSP2-4.5)\r\nt85 means Turku, high emission scenario (RCP8.5 / SSP5-8.5)\r\n\r\nThe letter symbols and locations of the tide gauges are, from north to south along the coast:\r\n\r\na - Kemi (65.67 N, 24.52 E)\r\no - Oulu (65.04 N, 25.42 E)\r\nb - Raahe (64.67 N, 24.41 E)\r\np - Pietarsaari (63.71 N, 22.69 E)\r\nv - Vaasa (63.08 N, 21.57 E)\r\ns - Kaskinen (62.34 N, 21.21 E)\r\nm - Mäntyluoto (61.59 N, 21.46 E)\r\nr - Rauma (61.13 N, 21.44 E)\r\nt - Turku (60.43 N, 22.1 E)\r\nd - Degerby (60.03 N, 20.38 E)\r\nh - Hanko (59.82 N, 22.98 E)\r\ne - Helsinki (60.15 N, 24.96 E)\r\nf - Hamina (60.56 N, 27.18 E)\r\n\r\n1) distributions.zip > xxx_fitdistr_yyyy.dat\r\nThese files include the probability distribution (probability density function) of projected mean sea level in year yyyy (2030, 2040, ... 2100). There are two columns: sea level and probability. Sea level values are millimetres in the Finnish N2000 height system.\r\n\r\n2) timeseries.zip > xxx_timeseries.dat\r\nThese files include the time series of projected mean sea level in 2005-2100. The files have 8 columns: year and 7 sea level values representing different percentiles of the probability distribution. The percentiles are 1%, 5%, 17%, 50% (median), 83%, 95%, 99%. Sea level values are centimetres in the Finnish N2000 height system.\r\n\r\nPlease note that all projections for years other than 2100 are indicative and based on a simple 2nd order fit made to the current rate of mean sea level change and the projected mean sea level in 2100. In other words, the projections for intermediate years are based on the 2100 projections assuming constant acceleration in mean sea level change rates.\r\n\r\nExample figures distributions.png and timeseries.png are included to illustrate the data. The Matlab script slrfinland_figures.m used to produce these figures is also included."
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                "en": "This is a database of Fe nanoparticles generated with a GAP interatomic potential for iron [1]. The files are provided in ASE's extended XYZ format. For each nanoparticle, convex_hull.xyz includes the energies as computed with: PAW-PBE DFT [1,2] our GAP [3] the GAP by Dragoni et al. [4] the EAM by Mendelevet al. [5] the EAM by Finnis and Sinclair et al. [6] The movie surface.mp4 shows the fractions of surface sites resembling surface motifs from pristine crystal surfaces more than the others, for each particle from convex_hull.xyz. Similarity is measured by comparing SOAP descriptors [7] of the surface environments with those from the reference structures. More details will follow in a scientific publication in due course (bibliographical data will be added as it becomes available)."
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