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Mikkonen, A. Wright, E. Moliner and V. Välimäki, “Neural Modeling Of Magnetic Tape Recorders,”\r\nin Proceedings of the International Conference on Digital Audio Effects (DAFx),\r\nCopenhagen, Denmark, 4-7 September 2023.\r\n\r\n# Overview\r\n\r\nThe data is divided into various subsets, stored in separate directories. The data contains both toy data generated using a software emulation of a reel-to-reel tape recorder, as well as real data collected from a physical device. The various subsets can be used for training, validating, and testing neural network behavior, similarly as was done in the research article.\r\n\r\n# Toy and Real Data\r\n\r\nThe toy data was generated using CHOWTape, a physically modeled reel-to-reel tape recorder (https://github.com/jatinchowdhury18/AnalogTapeModel/). The subsets generated with the software emulation are denoted with the string `CHOWTAPE`. Two variants of the toy data was produced: in the first variant, the fluctuating delay produced by the simulated tape transport was disabled, and in the second kind, the delay was enabled. The latter variants are denoted with the string `WOWFLUTTER`.\r\n\r\nThe real data is collected using an Akai 4000D reel-to-reel tape recorder. The corresponding subsets are denoted with the string `AKAI`. Two tape speeds were used during the recording: 3 3/4 IPS (inches per second) and 7 1/2 IPS, with the corresponding subsets denoted with '3.75IPS' and '7.5IPS' respectively. On top of this, two different brands of magnetic tape were used for capturing the datasets with different tape speeds: Maxell and Scotch, with the corresponding subsets denoted with 'MAXELL' and 'SCOTCH' respectively.\r\n\r\n# Directories\r\n\r\nFor training the models, a fraction of the inputs from SignalTrain LA2A Dataset was used (https://zenodo.org/record/3824876). The training, validation, and testing can be replicated using the subsets:\r\n- ReelToReel_Dataset_MiniPulse100_AKAI_*/                 (hysteretic nonlinearity, real data)\r\n- ReelToReel_Dataset_Mini192kHzPulse100_AKAI_*/     (delay generator, real data)\r\n- Silence_AKAI_*/                                                           (noise generator, real data)\r\n- ReelToReel_Dataset_MiniPulse100_CHOWTAPE*/        (hysteretic nonlinearity, toy data)\r\n- ReelToReel_Dataset_MiniPulse100_CHOWTAPE_F[0.6]_SL[60]_TRAJECTORIES/ (delay generator, toy data)\r\n\r\nFor visualizing the model behavior, the following subsets can be used:\r\n- LogSweepsContinuousPulse100_*/                              (nonlinear magnitude responses)\r\n- SinesFadedShortContinuousPulse100*/                       (magnetic hysteresis curves)\r\n\r\n# Directory structure\r\n\r\nEach directory/subset is made of up of further subdirectories that are most often used to separate the training, validation and test sets from each other. Thus, a typical directory will look like the following:\r\n```\r\n[DIRECTORY_NAME]\r\n├── Train\r\n│   ├── input_x_.wav\r\n│   ...\r\n│   ├── target_x_.wav\r\n│   ...\r\n└── Val\r\n│   ├── input_y_.wav\r\n│   ...\r\n│   ├── target_y_.wav\r\n│   ...\r\n├── Test\r\n│   ├── input_z_.wav\r\n│   ...\r\n│   ├── target_z_.wav\r\n│   ...\r\n```\r\n\r\nWhile not all of the audio is used for training purposes, all of the subsets share part of this structure to make the corresponding datasets compatible with the dataloader that was used.\r\n\r\nThe input and target files denoted with the same number `x`, e.g. `input_100_.wav` and `target_100_.wav` make up a pair, such that the target audio is the input audio processed with one of the used effects. In some of the cases, a third file named `trajectory_x_.npy` can be found, which consists of the corresponding pre-extracted delay trajectory in the `NumPy` binary file format."},"field_of_science":[{"id":"fd80ad86-b461-4ffb-abbd-888bc2ffd653","url":"http://www.yso.fi/onto/okm-tieteenala/ta213","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Electronic, automation and communications engineering, electronics","fi":"Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka","sv":"El-, automations- och telekommunikationsteknik, 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Environment","und":"Department of Built Environment"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10076-T213","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization","parent":{"id":"2f9f9011-4061-4a93-96af-768471abada7","pref_label":{"en":"Aalto University","fi":"Aalto-yliopisto","sv":"Aalto-universitetet","und":"Aalto-yliopisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10076","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}}},{"id":"aad504e3-8a52-4e38-b443-0e88eeb60257","roles":["publisher"],"organization":{"id":"c9ad3fef-2fd1-43e2-93f6-665a902ac92e","pref_label":{"en":"Mendeley Data","fi":"Mendeley Data","sv":"Mendeley Data"}}}],"cumulative_state":0,"data_catalog":"urn:nbn:fi:att:data-catalog-acris","description":{"en":"Collection of the Sphagnum moss samples and measurements of their reflectance spectra are described in detail in Salko, S.-S., Juola, J., Burdun, I., Vasander, H., Rautiainen, M. (2023). Intra- and interspecific variation in spectral properties of dominant Sphagnum moss species in boreal peatlands. Ecology and Evolution. DOI: 10.1002/ece3.10197.\r\n\r\nThe dataset consists of biconical reflectance factors of nine Sphagnum moss species collected from southern Finland. The samples were collected in May 2022, and the nadir-view reflectance factors were measured in a dark laboratory using an ASD FieldSpec 4 spectroradiometer (serial number 18641). The spectral range of measurements was 350-2500 nm, and spectral resolution was 3 nm at 700 nm and 10 nm at 1400 and 2100 nm. During the measurement, the sample was illuminated with a 12 V 50 W Quartz Tungsten Halogen lamp, with an illumination angle of 40º. The spectra of nine species are reported, with 10 samples for each species. The size of each sample was 21,7 * 21,5 cm, and they were measured four times: as fresh (0h, within four to six hours after initial collection), after one day (24h), after two days (48h) and after one week (1w) of the sample collection. Between the spectral measurements, the samples were stored in open containers in a semi-dark room with no direct sunlight and standard temperature (average 20.5 ºC) and air humidity (average 29 %). Example photographs of the fresh sampled species can be found from the file Data_description.pdf.\r\n\r\nThe spectra are reported in two versions: as raw data (“_raw”) and as smoothed with Savitzky-Golay filter with 25 nm window (”_smoothed”). The first three rows in the data contain information for citing and reading the data. After that, the first column indicates the species and ID number of the sample, as well as the time of measurement (0h, 24h, 48h or 1w). The second column indicates simply the species of the sample, the third column indicates the within-species sample ID, the fourth column indicates the time of measurement and the fifth indicates the location of the sampling site (peatland name_municipality). The subsequent columns (wl350-wl2500) indicate the measured reflectance value at that wavelength. The encoding of the csv file is UTF-8.\r\n\r\nList of Sphagnum species measured:\r\nSphagnum angustifolium\r\nSphagnum capillifolium\r\nSphagnum centrale\r\nSphagnum cuspidatum\r\nSphagnum fallax \r\nSphagnum fuscum\r\nSphagnum girgensohnii\r\nSphagnum riparium\r\nSphagnum rubellum\r\n\r\nIf you use this dataset, please cite:\r\n1) Salko, S.-S., Juola, J., Burdun, I., Vasander, H., Rautiainen, M. (2023). Intra- and interspecific variation in spectral properties of dominant Sphagnum moss species in boreal peatlands. Ecology and Evolution, DOI: 10.1002/ece3.10197.\r\n2) Salko, S.-S., Juola, J., Burdun, I., Vasander, H., Hovi, A., Rautiainen, M. (2023). Reflectance spectra of nine boreal Sphagnum moss species. 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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."},"field_of_science":[{"id":"fd80ad86-b461-4ffb-abbd-888bc2ffd653","url":"http://www.yso.fi/onto/okm-tieteenala/ta213","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Electronic, automation and communications engineering, electronics","fi":"Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka","sv":"El-, automations- och telekommunikationsteknik, elektronik"}}],"infrastructure":[],"issued":"2023-02-14","keyword":[],"language":[],"metadata_owner":{"id":"829302c3-f5d4-4d20-9ec3-5148bcf385cc","organization":"aalto.fi","admin_organization":"aalto.fi"},"other_identifiers":[],"persistent_identifier":"doi:10.5281/zenodo.7640352","pid_generated_by_fairdata":false,"projects":[],"provenance":[],"relation":[],"remote_resources":[{"title":{"en":"Data in remote location","fi":"Aineisto ulkoisessa palvelussa","sv":"Material i en extern tjänst","und":"Data in remote location"},"use_category":{"id":"1ad1b146-d147-45db-a2fd-1096abc94984","url":"http://uri.suomi.fi/codelist/fairdata/use_category/code/source","in_scheme":"http://uri.suomi.fi/codelist/fairdata/use_category","pref_label":{"en":"Source material","fi":"Lähdeaineisto"}},"download_url":"https://zenodo.org/record/7640353"}],"spatial":[],"state":"published","temporal":[],"theme":[],"title":{"en":"Measurement-based MIMO channel model at 140GHz"},"created":"2025-12-04T08:03:26Z","modified":"2026-03-26T06:46:50Z","dataset_versions":[{"id":"0a453fd7-078b-4371-a7e8-c98b2e7bc7fc","title":{"en":"Measurement-based MIMO channel model at 140GHz"},"persistent_identifier":"doi:10.5281/zenodo.7640352","state":"published","created":"2025-12-04T08:03:26Z","version":1}],"published_revision":2,"version":1,"api_version":3,"metadata_repository":"Fairdata"}]}