Ultrasonic Pulse Transmission Tests: Datasets - Test Series 4, Cement Paste at Early Stages

Technical description Ultrasonic Pulse Transmission Tests: Datasets — Test Series 4, Cement Paste at Early Stages Jakob Harden† †Graz University of Technology, Graz, Austria Corresponding author email: [email protected] 2023-07-14 Abstract The test series was created to receive information about the impact of the behaviour of the piezoelectric shear wave sensor on the measurement results of ultrasonic transmission tests performed on cement pastes at early stages. The approach for the test series was to vary the parameters water-cement-ratio and pulsewidth. This results in a two-dimensional test parameter grid (water-cement-ratio versus pulse-width). Tests were performed for each grid point in order to receive information needed to optimize the pulse width for the shear wave sensors, but also a possible dependency between material behaviour and pulse-width. The materials tested were blends from ordinary Portland cement and tap water. The test methods used were ultrasonic pulse transmission method with combined compressionand shear wave measurements, gravimetric density tests (fresh paste density, solid specimen density) and hydration temperature tests. All test data and metadata are summarized into datasets using GNU Octave’s open binary file format. 1 Introduction This document provides a technical description of the datasets of a series of ultrasonic pulse transmission tests (UPTT) performed in the course of the PhD thesis of the author of this document (see title page). The test series has been performed to receive information about the behaviour of cement pastes at early stages (within the first 24 hours). The design of this test series is based on the variation of two different parameters. The water-cement-ratio w/c = [0.40,0.45,0.50,0.55,0.60] and the pulse-width W= [2.5,7.5,10.0,12.5] µsec. This results in a two-dimensional test parameter grid. For each grid point (w/c, W), tests were carried out using a distance between actuator and sensor of D= 50 mm. For comparison reasons, additional tests (D= 25 mm, W= 10.0µsec, all water-cement-ratios mentioned before) were performed. The result is a collection of 29 datasets containing the measurement data of the UPTTs and additional subsidiary tests performed along with the UPTTs (fresh paste density, solid sample density, environment temperature, specimen temperature). The test device used for the UPTTs is the FreshCon[1] device (developed at the University of Stuttgart, Germany) equipped with the V101-RB sensor (resonance frequency fr= 500 kHz) for the compression wave measurements and the V1548-RB sensor (resonance frequency fr= 500 kHz) for the shear wave measurements. Both sensors manufactured by Olympus IMS[2]. The materials used for the cement paste blends are ordinary Portland cement[3] (CEM I 42.5 N) and tap water. Beside the measurement results, an elaborate description of devices, materials, mixtures and test operation procedures is available in the data set structure. This record is published to allow other researchers to make use of it. In particular, those not having access to the required laboratory facilities and test equipment. To allow others to make use of these datasets freely, an open license was chosen by the author (Creative Commons 4.0 Attribution, CC-BY-4.0). 2 Record content The repository record consists of the following three files: •ts4_techdescr.pdf contains the technical description (this file). •ts4_rawdata.tar.xz contains the raw measurement data. This compressed TAR archive consists of a set of ZIP archives enlisted in table 8 in section Appendix - Tables. The content of the ZIP archives is described in section 3. CC-BY-4.0 Jakob Harden 1 Technical description •ts4_datasets.tar.xz contains the datasets compiled from the raw measurement data. This compressed TAR archive consists of a set of binary files (*.oct, open GNU octave binary format) enlisted in table 9 in section Appendix - Tables. The structure of the content of each data set is described in section 4 in detail. Extracting data set files from compressed TAR archives: Under Linux the content of the compressed TAR archives can easily be extracted with the command line tool “tar”[4] on the “bash”[5] command prompt. On Microsoft Windows one may use “7zip”[6] instead. $ tar -xf <filename>.tar.xz Data integrity: To ensure the integrity of the files contained in the compressed TAR archives, the SHA256 checksum is also provided along with the files. See second column in tables 8 and 9 in section Appendix - Tables. Check the integrity of a file with “sha256sum”[7] at the “bash” command prompt. $ echo "<sha256_checksum> <filename>" > checkfile.txt $ sha256sum --check checkfile.txt File name convention, data set code: The variation of the parameters w/c-ratio and pulse-width but also the distance between actuator and sensor is reflected in the file names. The file names are a concatenation of the test series id <T>, the water-cement-ratio <W>, the distance between the actuator and sensor <D> in millimetres and the pulse-width <P> in µsec. Filename structure: <T>_wc<W>_d<D>_w<P>.oct. As example, a test performed on a cement paste with a water-cement ratio of 0.40, a distance between actuator and sensor of 50mm and a pulse-width of 10.0µsec is stored in ts4_wc040_d50_w100.oct. The name of the corresponding raw data archive is ts4_wc040_d50_w100.zip. Here it is to mention, that some test were carried out twice. That is denoted in the file names with the suffix _a. Licensing: The contents of the repository entry published under the DOI 10.3217/f62md-kep36 are made available under the open Creative Commons 4.0 Attribution license (CC-BY-4.0). This applies to the files ts4_rawdata.tar.xz,ts4_datasets.tar.xz,ts4_techdescr.pdf and their contents. A full description of the license terms is available at the following URL: https://creativecommons.org/licenses/by/4.0/. 3 Raw data archive structure Each data set in the raw data archive ts4_rawdata.tar.xz is represented by a ZIP archive. The directories and files contained in the archive files are enlisted in table 3. L C Path Type Description 0 1 <datasetcode> directory data set directory 1 1 projinfo.txt plain text file metadata and information about additional tests 1 1 Channel 1 directory compression wave measurement data 2 1 ../measurements.txt plain text file list of signal filenames and recording timestamp 2 1 ../settings.txt plain text file device and measurement settings 2 1 ../tst.tem plain text file temperature data (if exists) 2 N ../tst<num>.dat plain text files signal data of compression wave measurements 1 1 Channel 2 directory shear wave measurement data 2 1 ../measurements.txt plain text file list of signal filenames and recording timestamp 2 1 ../settings.txt plain text file device and measurement settings 2 1 ../tst.tem plain text file temperature data (if exists) 2 N ../tst<num>.dat plain text files signal data of shear wave measurements Table 1: Raw data directoryand file structure (ZIP archives). L . ..directory level; C .. . cardinality. 4 Data set binary file structure Each data set in the data set archive ts4_datasets.tar.xz is represented by a OCT file (<filename>.oct). They were generated from raw data consisting of plain text files (see also 3). Therefore, GNU Octave 6.2.0[8] CC-BY-4.0 Jakob Harden 2 Technical description command scripts were used. The result of the conversion process are datasets available in GNU Octave’s open binary file format. The data in the datasets is organized in a C-like hierarchical data structure. That structure consists of several structural levels. The top structural level serves to classify the data according to individual thematic areas. The metadata and data of the measurement results are stored in the lower structure levels. To be able to display the data and metadata as simply as possible, sub-structures are used, which are referred to here as “atomic elements” and represent the lowest structural level of the data. There are three defined types of atomic elements: the atomic reference element (ARE), the atomic attribute element (AAE) and the atomic data element (ADE). All atomic elements consist of simple structure fields that hold the data. 4.1 Atomic elements Atomic reference element (ARE): Atomic reference elements are used to link objects to each other. This is to avoid copies of recurring content (e.g. for a specimen used in several subsidiary tests). They consist of a set of fields enlisted in table 2. Field Description Data type obj object type (always "ARE") string ver version number [major, minor] uint16 t tag, a descriptive name string i referenced id uint, [uint] r referenced object name {string} d description string Table 2: Field list of atomic reference elements (ARE) Atomic attribute element (AAE): Atomic attribute elements are used to store text only (e.g. additional description of the parent data structure). They consist of a set of fields enlisted in table 3. Field Description Data type obj object type (always "AAE") string ver version number [Major, Minor] [uint16] t tag, a descriptive name string v value, text string, {string} d description string Table 3: Field list of atomic attribute elements (AAE) Atomic data element (AAE): Atomic data elements are used to store values in combination with value type and physical unit (e.g. measurement data). They consist of a set of fields enlisted in table 4. The value type enumerators stored in field “vt” are enlisted in table 6 in section Appendix - Tables. Field Description Data type obj object type (always "ADE") string ver version number [Major, Minor] [uint16] t tag, a descriptive name string vt value type enumerator string v value of given value type depends on value type u unit string d description string Table 4: Field list of atomic data elements (ADE) 4.2 Data set structure hierarchy The hierarchy of the data structure consists of top-level substructures containing various atomic elements or other lower-level substructures (e.g. ds.tst, test collection). A list of main substructures is shown in table 5. A more detailed description of the structure hierarchy is shown in table 7 in section Appendix - Tables. CC-BY-4.0 Jakob Harden 3 Technical description L C Path Description 0 1 ds structure root 1 1 ds.meta_ser test series metadata 1 1 ds.meta_set data set metadata 1 N ds.loc geo-location information, GPS coordinates 1 1 ds.lic license information 1 N ds.aut author information 1 N ds.dev test device information 1 N ds.mat test material information 1 1 ds.rec mixture/blend recipe definition 1 1 ds.mix mixture component information 1 N ds.spm test specimen information, specimen I and II 1 1 ds.tst test collection 2 1 ds.tst.s01 fresh paste density 2 1 ds.tst.s02 solid specimen density, specimen I 2 1 ds.tst.s03 solid specimen density, specimen II 2 1 ds.tst.s04 ultrasonic measurement distance, specimen I 2 1 ds.tst.s05 ultrasonic measurement distance, specimen II 2 1 ds.tst.s06 ultrasonic pulse transmission test (compression wave), specimen I 2 1 ds.tst.s07 ultrasonic pulse transmission test (shear wave), specimen II 2 1 ds.tst.s08 specimen temperature, specimen II 2 1 ds.tst.s09 environment temperature Table 5: Main substructures. L . ..hierarchy level; C . ..cardinality. 4.3 Accessing items of the hierarchical data structure To access the data and metadata in the hierarchical data structure, the file need to be loaded into memory first. Then, the structure handling commands of GNU Octave can be used to access single items. To illustrate the process, some typical application examples using the GNU Octave command line interface are given below. Load data set: Load data set and store the result in variable ds. octave: >>> ds = load(’/path/to/dataset/file.oct’, ’dataset’).dataset; Accessing items: The following commands store the signal data of all compression wave signals in variable s1 and all shear wave signals in variable s2. All other elements can be accessed in the same way. A detailed list of available structure elements is shown in table 7 in section Appendix - Tables. octave: >>> s1 = ds.tst.s06.d13.v; octave: >>> s2 = ds.tst.s07.d13.v; References [1] Smartmote. Smartmote - FreshCon. July 14, 2023. url:http : / / www . smartmote . de / joomla / de / produkte/~ultraschall/9-produkte/19-neptun-webservices-5. [2] Evident. Contact Transducers. July 14, 2023. url:https://www.olympusims.com/en/ultrasonictransducers/contact-transducers/#!cms[focus]=cmsContent10862. [3] Vereinigung der österreichischen Zemetindustrie | VÖZ. Zementtype. July 14, 2023. url:https://www. zement.at/der-baustoff/zement/zementtype. [4] die.net. tar(1) - Linux man page. July 14, 2023. url:https://linux.die.net/man/1/tar. [5] die.net. bash(1) - Linux man page. July 14, 2023. url:https://linux.die.net/man/1/bash. [6] www.7 zip.org. 7zip download. July 14, 2023. url:https://www.7-zip.org/download.html. [7] die.net. sha256sum(1) - Linux man page. July 14, 2023. url:https://linux.die.net/man/1/sha256sum. CC-BY-4.0 Jakob Harden 4 Technical description [8] John W. Eaton et.al. GNU Octave - Scientific Programming Language. July 14, 2023. url:https:// octave.org/. CC-BY-4.0 Jakob Harden 5 Technical description Appendix - Tables Data type Description string character array, character = 8 bit string_arr 1D cell array (vector) of strings string_mat 2D cell array (matrix) of string boolean unsigned integer, 8 bit boolean_arr 1D array (vector) of type boolean boolean_mat 2D array (matrix) of type boolean uint unsigned integer uint_arr 1D array (vector) of type uint uint_mat 2D array (matrix) of type uint int signed integer int_arr 1D array (vector) of type int int_mat 2D array (matrix) of type int single single precision floating point number, 32 bit single_arr 1D array (vector) of type single single_mat 2D array (matrix) of type single double double precision floating point value, 64 bit double_arr 1D array (vector) of type double double_mat 2D array (matrix) of type double Table 6: Value types for atomic data elements (ADE) CC-BY-4.0 Jakob Harden 6 Technical description Table 7: Detailed overview of the hierarchical structure of the datasets (*.oct files). Path Type Tag Description ds struct_dataset — structure root ds.meta_ser struct_metaser — substructure ds.meta_ser.r01 ARE author author reference ds.meta_ser.r02 ARE license license reference ds.meta_ser.d01 ADE series_id test series id ds.meta_ser.a01 AAE series_code test series code ds.meta_ser.a02 AAE series_name test series name ds.meta_ser.a03 AAE description test series description ds.meta_ser.a04 AAE abstract test series abstract ds.meta_ser.a05 AAE context test series context ds.meta_ser.a06 AAE date_start test series start date ds.meta_ser.a07 AAE date_end test series end date ds.meta_set struct_metaset — substructure ds.meta_set.r01 ARE author author reference ds.meta_set.r02 ARE series test series reference ds.meta_set.r03 ARE location location reference ds.meta_set.r04 ARE license license reference ds.meta_set.d01 ADE dataset_id data set id ds.meta_set.a01 AAE dataset_code data set code ds.meta_set.a02 AAE dataset_name data set name ds.meta_set.a03 AAE description description, general ds.meta_set.a04 AAE description_abstract description, abstract ds.meta_set.a05 AAE description_methods description, methods ds.meta_set.a06 AAE description_tableofcontents description, tableofcontents ds.meta_set.a07 AAE created_by data set creator name ds.meta_set.a08 AAE collected_by data set collector name ds.meta_set.a09 AAE copyrighted_by data set copyrighter name ds.meta_set.a10 AAE date_created date created Continued on next page CC-BY-4.0 Jakob Harden 7 Technical description Table7 – continued from previous page Path Type Tag Description ds.meta_set.a11 AAE date_collected date collected ds.meta_set.a12 AAE date_copyrighted date copyrighted ds.meta_set.a13 AAE size data set size, number of files ds.meta_set.a14 AAE format data set file format ds.meta_set.a15 AAE version data set version ds.meta_set.a16 AAE context data set context ds.meta_set.a17 AAE rawdata_directory data set rawdata directory ds.meta_set.a18 AAE rawdata_archive data set rawdata archive ds.loc struct_loc — substructure array ds.loc.d01 ADE location_id location id ds.loc.d02 ADE geolocation geo location, latitude, longitude ds.loc.a01 AAE country country ds.loc.a02 AAE state_province state or province ds.loc.a03 AAE city city ds.loc.a04 AAE zipcode zip code, postal code ds.loc.a05 AAE street street name ds.loc.a06 AAE housenumber house number ds.loc.a07 AAE description location description ds.lic struct_lic — substructure ds.lic.r01 ARE author author reference ds.lic.d01 ADE license_id license id ds.lic.a01 AAE license_code license code ds.lic.a02 AAE rightsholder rights holder ds.lic.a03 AAE rights rights description, e.g. Creative Commons Attribution 4.0 International ds.lic.a04 AAE rights_uri rights URI, e.g. https://spdx.org/licenses/CC-BY-4.0.html ds.lic.a05 AAE rights_identifier_scheme rights identifier scheme, e.g. SPDX ds.lic.a06 AAE rights_identifier_scheme_uri rights identifier scheme URI, e.g. https://spdx.org/licenses/ ds.lic.a07 AAE license_description license description ds.lic.a08 AAE spdx_icon license icon (spdx) ds.lic.a09 AAE spdx_id license id (spdx) Continued on next page CC-BY-4.0 Jakob Harden 8 Technical description Table7 – continued from previous page Path Type Tag Description ds.aut struct_aut — substructure ds.aut.d01 ADE author_id author id ds.aut.a01 AAE name full name ds.aut.a02 AAE givenname given name, first name ds.aut.a03 AAE familyname family name, surname ds.aut.a04 AAE initials initials ds.aut.a05 AAE title_pfx title before the name (prefix) ds.aut.a06 AAE title_sfx title behind the name (suffix) ds.aut.a07 AAE organization organization name ds.aut.a08 AAE department department name ds.aut.a09 AAE role role in organization/department ds.aut.a10 AAE country country ds.aut.a11 AAE state_province state or province ds.aut.a12 AAE city city name ds.aut.a13 AAE zipcode zip code, postal code ds.aut.a14 AAE street street name ds.aut.a15 AAE email email address ds.aut.a16 AAE name_identifier_type name identifier type, e.g. ORCID ds.aut.a17 AAE name_identifier_type_uri name identifier type uri, e.g. https://orcid.org/ ds.aut.a18 AAE name_identifier name identifier, e.g. ORCID id ds.aut.a19 AAE description author description ds.dev struct_dev — substructure array ds.dev.d01 ADE device_id device id ds.dev.a01 AAE name device name ds.dev.a02 AAE vendor vendor name ds.dev.a03 AAE product product name ds.dev.a04 AAE category device category ds.dev.a05 AAE usage device usage ds.dev.a06 AAE description device description ds.dev.s01 ADE data_array device properties Continued on next page CC-BY-4.0 Jakob Harden 9 Technical description Table7 – continued from previous page Path Type Tag Description ds.tst.s07.a09 AAE mm_filepath measurements file path, full qualified path ds.tst.s07.a10 AAE mm_filename measurements file name ds.tst.s07.a11 AAE mm_filehash measurements file hash, sha-256 ds.tst.s07.a12 AAE data_dirpath signal data directory path, full qualified path ds.tst.s07.a13 AAE data_filepath signal data file path list, full qualified paths num_signals x 1 ds.tst.s07.a14 AAE data_filename signal data file name list num_signals x 1 ds.tst.s07.a15 AAE data_filehash signal data file hash list, sha-256 num_signals x 1 ds.tst.s08 struct_test_tem — substructure ds.tst.s08.r01 ARE author author reference ds.tst.s08.r02 ARE specimen specimen reference ds.tst.s08.r03 ARE device device reference ds.tst.s08.r04 ARE location location reference ds.tst.s08.d01 ADE datetime date and time, seconds since epoch (UTC) ds.tst.s08.d02 ADE tem_maturity temperature measurement time array, specimen maturity [num_signals x 1] ds.tst.s08.d03 ADE tem_tcpl1 thermocouple-1, temperature magnitude array [num_signals x 1] ds.tst.s08.d04 ADE tem_tcpl2 thermocouple-2, temperature magnitude array [num_signals x 1] ds.tst.s08.d05 ADE tem_tcpl3 thermocouple-3, temperature magnitude array [num_signals x 1] ds.tst.s08.d06 ADE tem_tcpl4 thermocouple-4, temperature magnitude array [num_signals x 1] ds.tst.s08.a01 AAE testname test name ds.tst.s08.a02 AAE operator operator name ds.tst.s08.a03 AAE procedure procedure description ds.tst.s08.a04 AAE calculation calculation description, formula ds.tst.s08.a05 AAE description general description ds.tst.s08.a06 AAE placement_tcpl1 placement of thermocouple 1 ds.tst.s08.a07 AAE placement_tcpl2 placement of thermocouple 2 ds.tst.s08.a08 AAE placement_tcpl3 placement of thermocouple 3 ds.tst.s08.a09 AAE placement_tcpl4 placement of thermocouple 4 ds.tst.s08.a10 AAE data_dirpath temperature data directory path, full qualified path ds.tst.s08.a11 AAE data_filepath temperature data file path ds.tst.s08.a12 AAE data_filename temperature data file name Continued on next page CC-BY-4.0 Jakob Harden 16 Technical description Table7 – continued from previous page Path Type Tag Description ds.tst.s08.a13 AAE data_filehash temperature data file hash, sha-256 ds.tst.s09 struct_test_env1 — substructure ds.tst.s09.r01 ARE author author reference ds.tst.s09.r02 ARE device device reference ds.tst.s09.r03 ARE location location reference ds.tst.s09.d01 ADE datetime date and time, seconds since epoch (UTC) ds.tst.s09.d02 ADE temperature environment temperature at test start ds.tst.s09.a01 AAE testname test name ds.tst.s09.a02 AAE operator operator name ds.tst.s09.a03 AAE procedure procedure description ds.tst.s09.a04 AAE calculation calculation description, formula ds.tst.s09.a05 AAE description general description CC-BY-4.0 Jakob Harden 17 Technical description Table 8: Raw data archive listing (content of ts4_rawdata.tar.xz). File name SHA256 checksum ts4_wc040_d25_w100.zip a5a824f1b96ed6ae568778ee56e01209f2f5724481cfe6eba9236e90b2cf25c8 ts4_wc040_d50_w025.zip 49fa392db12cc632039b41229ffe1773a555bb36b280603e44d5f4ce99577023 ts4_wc040_d50_w075_a.zip e9c5c0591d52627ee0c43527b8dfc001e38f81ff647268acdec547507e1e356e ts4_wc040_d50_w075.zip f901285b8da33dbe491146c1ddc716cde35b4fcb6d0533c1773854c2d4bbb4cc ts4_wc040_d50_w100.zip d19956305c556fb110a27e675b7896044f69c6ed09d378e3d89689358d1c088f ts4_wc040_d50_w125.zip 34faddb2052fd23343e6a0b01c759c89bc14cbd5a7cc7d7f6ea50731aebbd1cf ts4_wc045_d25_w100.zip db8b705dc68b1b2618964c7b40198bf87b036ef8ce1152593a6aa77ab0310076 ts4_wc045_d50_w025.zip 76bdab225b4fcf8d1850a364f12cd788e165fdfacf6d421e5de532fe6b6eeb5f ts4_wc045_d50_w075_a.zip fce4447d6dd6bb54e145bf33c2fc900e30e0caf56ff4c228d7cbcae9d5cce380 ts4_wc045_d50_w075.zip 7f64eae5ab1a6ec3def0df9db5d568dad81c27a71d36fdee2556636493e8df99 ts4_wc045_d50_w100.zip 0f02e9f841154a0c9525cf1065a7f471eb7289982996ad978da3109831e7fde9 ts4_wc045_d50_w125.zip 8b80d22b19ec1bd45671d12d962cb9848ca1e6ed5854f8c5873b45e1b6908a08 ts4_wc050_d25_w100.zip ada13021e164257b3f0e6f5cd593a4811ae1ff26c9d5cec0939de0fbb11222c8 ts4_wc050_d50_w025.zip b2b0d5d9a370f469a04df06b85eb9264aff1088e939b79aae9d3c703342baca4 ts4_wc050_d50_w075.zip f7e38d8aa31c2869164633583cd88d8c8133fdb1a127e8b23d6e5ddc696793cc ts4_wc050_d50_w100.zip c3b181f85ea0860434b73a74940215142f58c316ba8837b5212e50b3d34b7d69 ts4_wc050_d50_w125_a.zip 54e8cad485aadf6d71ea4bf7069f91126f51ef13fafc194d758472369ec33a75 ts4_wc050_d50_w125.zip 3e2ff6930da50683e9c9d530ef7a9a9537c4a53467b1aa6fcd223e3f7afd6b5a ts4_wc055_d25_w100.zip 82520688e4ca0459c4b4cdd78c263de123683779b4bfd74772c413313560f3c1 ts4_wc055_d50_w025.zip b4fee2583a72be00330cfdde27304cbbcd563c96c59423144c6490e74cb04e39 ts4_wc055_d50_w075.zip 50878d2ee184e35d52c4dc940c8465c6339f09ce23e7962391b8af0945ba1389 ts4_wc055_d50_w100.zip b472a181991a2a9bef2bcde79feb92cc77b973b0a4d42eb50f5201c69c2c81ef ts4_wc055_d50_w125.zip ad3ffe81101987ab13df6c99be87b124563057e8900a5901666b5acb53b10b8c ts4_wc060_d25_w100.zip 46f8fec79851d09e7ffccc3f0a51bad4f35848eb4eee87d570f5a49b2d5ebdd5 ts4_wc060_d50_w025.zip 115f47486aed97e6b8e2977e13e6b54d28df00896462ec69f31b109c3b01265a ts4_wc060_d50_w075.zip 4d026b6f62b0c64cdd765eb8f333ea0c24309686c1f0e5273389484c4390c33d ts4_wc060_d50_w100.zip 9c30ba1004c39b56aef8f9b0d09fee45ebb7385dfaeeb79f1f9af01b806d69ec ts4_wc060_d50_w125_a.zip fa653523f54e60d95275ec99841820979034a443e7b50c251331a6cff98c1ba7 ts4_wc060_d50_w125.zip 79ccc82b011ad0c9dffd4275562f4cb7a7238f5664bb50df81e7d019c8f1eb69 Table 9: Data set file listing (content of ts4_datasets.tar.xz). File name SHA256 checksum ts4_wc040_d25_w100.oct 33d72b29a8389c7320ae422e544a908aa23da82a6b499457742c5c67aa13fcb8 ts4_wc040_d50_w025.oct cd0793625922a4f9cdcc93256ae7edad2cb40e61dc460c05e193ae09516a2f4d ts4_wc040_d50_w075_a.oct 711af5d054a0c05f0d73df2b441db144d21116039661d056f8ba374da9f11e12 ts4_wc040_d50_w075.oct 1241a77b8857b0b7eacac760be42d4718cda6552124e639e65b8d8291e2dfeb9 ts4_wc040_d50_w100.oct 35feb9fad98dbd1536e52336573637d7b645adbf4aaab862da1c14079cb8d718 ts4_wc040_d50_w125.oct 684a20e84041e14234a10c491a8ba1b5218700244dad950457e80b9346ee37a3 ts4_wc045_d25_w100.oct 8e45b12219d0618509cbbd26bb8ca1abc76eadd0f0515ce7426372dfff0cdda3 ts4_wc045_d50_w025.oct 4e6cdf278a5382b7f0ad67bd6fd0ffc48c6f7d3d202c39277f7c8f70dbb9d803 ts4_wc045_d50_w075_a.oct ecc945e95b1ef3addd96ce2a4df9aa50757595f357ba18b00df606975d0a5c6c ts4_wc045_d50_w075.oct 052e2cb6e1b2935762f86fe4fa2d069ae483b97065f99f95ee11404dbdb51117 ts4_wc045_d50_w100.oct 40cae854cec37ade2b24722b2bd0af9304c2b77356205e22cf704aa81a8d4e3d ts4_wc045_d50_w125.oct e0c6dd8f7b302d46a09b1abbceafc5cd043999e9139e3da6a4b9c11e668f9cdd ts4_wc050_d25_w100.oct 7bea3d3f55cdd6213b73f8a5fe059e170cb18456142ef8bdb903a00a06e0dce7 Continued on next page CC-BY-4.0 Jakob Harden 18 Technical description Table9 – continued from previous page File name SHA256 checksum ts4_wc050_d50_w025.oct 6b88a7da1f327868fc4c5528d909068a1636e9bc625b70e0d323ecba528c64af ts4_wc050_d50_w075.oct 0555e11b436db43c087145d37805df852e602f83400bdfd77f653abd59042ad0 ts4_wc050_d50_w100.oct 47a6afe600a87092a39a89d353a897a98e2c812379e2982d4ee1c5892714be46 ts4_wc050_d50_w125_a.oct d7feeacf6c4e7417e28f58f485b0cdf281e400f200bc9ca905f4460ea674b03d ts4_wc050_d50_w125.oct 9467eb7985811d6f9334f61cac54c628f1b1b76cd2951e89843245be1b07b0a7 ts4_wc055_d25_w100.oct ebeba9e053d4369bf9ce10d93603324730469fe35d1f7b9eef8b6e387b7a25e7 ts4_wc055_d50_w025.oct 5cf96de8116a8746d5a7b7b5a1341a989680590a942e0747ded49bef11776195 ts4_wc055_d50_w075.oct 3ecbcdd2b8b87a4ac9de5fedbf5b1df839ac51e029e04c2dd76d9eb77acf4527 ts4_wc055_d50_w100.oct e5d2a02cf175e7ee1a066b140568f5b2865c01bd57519e9c98946e7aec5c635e ts4_wc055_d50_w125.oct 4d50fe746f6c41a6b1adca46eeda8e57cdc1075017be1c8311d359e44a0b9072 ts4_wc060_d25_w100.oct 24b01dcf8ef26c3c850b37a7fb4659a7b4b35a5ba4db65bfd807ab73160baec6 ts4_wc060_d50_w025.oct 35a0c947d606101a524004b92f03ed0cbdf529670e88ad002d9c3f1c53a52aeb ts4_wc060_d50_w075.oct 88219461f87941e65ef7f59b3992ab86713f298378ca312441b31e9329feccf6 ts4_wc060_d50_w100.oct 4dde718766390ef162d182c586aaf013999f0b707cfc80a6b9a9b0a2946175b9 ts4_wc060_d50_w125_a.oct 7c1202e97010754f069ed309f78f1e18b7af5faaa6edc95c89b3006780783ec4 ts4_wc060_d50_w125.oct 2de8c5694068f6c9690a2dd69f1011bebd3debf3d6f3bc83f4cb11e72b77715a CC-BY-4.0 Jakob Harden 19