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881 results for “Master”
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 4. Table structure and relationships
<p>The structure of the tables, primary keys and foreign keys are shown in figure 4.The names of the fields in the database tables are relevant for their content. Only the SPRAS field in the translation-tables TABT and ARET must be explained: SPRAS is a system-field which stands for the language and is used in order to maintain the languages in which the tab/area is translated into.</p>
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 1. Popup layout for the Material Master Data Application
<p>The Material Master Data Application provides an update popup layout, including tabs, areas and fields (also customer-specific fields). Each tab consists of one or more areas and each area of one or more fields, similar to the example below (figure 1). The application is called flexible because the user must have the possibility to add, delete, reorder or rename tabs, areas and fields.</p>
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 3. The logical data model of tables and views
<p>The five tables, named TAB, TABT, AREA, ARET and FLD, are combined within three views (TABV, AREV and FLDV) which build a cluster view, TAFC (figure 3). </p>
Masters of Time: An Overview of the NTP Ecosystem - (Datasets)
<p>Datasets of the published paper: "Masters of Time: An Overview of the NTP Ecosystem".<br> The paper was published at IEEE Eu­ropean Sym­po­si­um on Se­cu­ri­ty and Pri­va­cy (Euro S&P), London, United Kingdom, April 2018.</p> <p>Abstract</p> <p>The Net­work Time Pro­to­col (NTP) is cur­rent­ly the most com­mon­ly used ap­proach to ke­eping the clocks of com­pu­ting de­vices ac­cu­ra­te. It ope­ra­tes in the back­ground of many sys­tems; howe­ver, it is often im­portant be­cau­se if NTP fails in pro­vi­ding the cor­rect time, mul­ti­ple ap­p­li­ca­ti­ons such as se­cu­ri­ty pro­to­cols like TLS can fail. De­s­pi­te its cru­ci­al prac­tical role, only a li­mi­ted num­ber of me­a­su­re­ment stu­dies have fo­cu­sed on the NTP eco­sys­tem.</p> <p>In this paper, we re­port the re­sults of an in-depth lon­gi­tudinal study of the ser­vices pro­vi­ded by the NTP Pool Pro­ject, which enables volun­te­ers to offer their NTP ser­vices to other In­ter­net users in a straight­for­ward man­ner. We sup­ple­ment these ob­ser­va­tions with an ana­ly­sis of other rea­di­ly avail­able NTP ser­vers, such as those of­fe­red by OS ven­dors or those that can be fre­e­ly found on the In­ter­net. The ana­ly­sis in­di­ca­tes a re­li­an­ce on a small set of ser­vers that are (at least in­di­rect­ly) re­s­pon­si­ble for pro­vi­ding the time for the In­ter­net. Fur­thermore, this paper con­s­i­ders the im­pact of se­ver­al in­ci­dents that the aut­hors ob­ser­ved bet­ween De­cem­ber 2016 and April 2017.</p> <p>To com­ple­ment this study, we also per­form an ana­ly­sis of mul­ti­ple geo­gra­phi­cal re­gi­ons from the ope­ra­tor’s per­spec­tive, span­ning a pe­ri­od of 5 months. A co­ar­se-grained ca­te­go­riza­t­i­on of cli­ent re­quests al­lows us to ca­te­go­ri­ze 95 per­cent of our in­co­ming traf­fic as NTP- and SNTP-li­ke traf­fic (the lat­ter being a sim­pler, but more er­ror-pro­ne, form of NTP); we ob­ser­ve that up to 75 per­cent of all re­quests ori­gi­na­ted from SNTP-like cli­ents. With this in mind, we con­s­i­der what kind of harm a rogue ser­ver ad­mi­nis­tra­tor could cause to users.</p>
Arrangement of J.S. Bach's Invention No. 13 in A minor (BWV784) for the DIMI-A synthesizer by Erkki Kurenniemi (1970): An annotated video of the master tape
<p>The video presents an annotated analysis of the master tape of the arrangement of J.S.Bach's invention in a minor (BWV784) for DIMI-A synthesizer (1970) by Erkki Kurenniemi. Upload also includes picture and excel files of analysis material.</p> <p>Analysis is partially published in Lassfolk, K., Suominen, J., & Ojanen, M. (2015). Interaction of Music and Technology: The Music and Musical Instruments of Erkki Kurenniemi. In J. Krysa, & J. Parikka (Eds.), <em>Writing and Unwriting (Media) Art History : Erkki Kurenniemi in 2048</em> (pp. 261-277). [19] (Leonardo Book Series). Cambridge, Mass.: MIT Press.</p> <p>The video is also available for streaming/embedding via https://vimeo.com/278832133</p> <p> </p>
Ruthwell Cross Master
<p>This is the master description of the Ruthwell Cross for the Visionary Cross project.</p> <p>This record contains:</p> <ul> <li>The master xml record: <a href="https://zenodo.org/record/1490863/RuthwellMasterMetadata.xml">RuthwellMasterMetadata.xml</a></li> <li> A 3D thumbnail: <a href="https://zenodo.org/record/1490863/cross_AmbientOcclusion_02M.ply">cross_AmbientOcclusion_02M.ply</a> </li> <li>A 2D thumbnail: <a href="https://zenodo.org/record/1490863/Ruthwell_Cross00.png">Ruthwell_Cross00.png</a></li> </ul> <p>The DOI for this version of the record is <a href="https://zenodo.org/record/1490863">10.5281/zenodo.1490863</a>. The DOI <a href="https://zenodo.org/record/1490862">10.5281/zenodo.1490862</a> always points to the latest version of this record. </p> <p><high res></p>
Flood Master Dataset
<p>Our Master Flood Dataset consists of flood images picked from different publicly available datasets. The origins of the images is specified in the "sources.csv" file.</p> <p>The dataset consists of 282 train, 87 validation and 1973 test frames. We provide the frames from the sourced videos and segmentation masks of the flooded areas.</p> <p>Details on acquiring the dataset can be found <strong><a href="https://aiia.csd.auth.gr/flood-master-database/" target="_blank" rel="noopener">here</a></strong>. </p>
Master's Thesis - Audio Files
<p><strong>Comparison of machine learning-based music source separation algorithms with respect to vocal timbre</strong></p> <p><strong>Master's Thesis - Audio Files</strong></p> <p>State-of-the-art music source separation algorithms are commonly evaluated using standard evaluation metrics. Spectral features such as the Spectral Centroid are used in this thesis to describe the quality of selected algorithms. Interesting statements about the quality of modern music source separation algorithms can be made based on vocal recordings especially produced for this thesis. It can be solidly argued that the gender of the singers and the song's language have almost no influence on the quality of the algorithms. In contrast, the genre and the associated instrumentation play a much more significant role. This thesis attempts to introduce the evaluation metric Mean Absolute Error of Spectral Centroids (MAESC) among others, which could be used in the development of future MSS algorithms. </p> <p>In the course of further investigation, vocal recordings were made, which will serve as additional data material. The recordings were made at the University of Music and Performing Arts Vienna (MDW) on the 3rd of July 2024.</p> <p>Two female and two male singers sang the same five pop songs under the same conditions in the same studio with the same microphone and the same vocal processing chain. The songs were selected in advance based on their musical genre and instrumentation in order to achieve variety. The musical accompaniment has been provided by the company “Tency Music”.</p> <p>The vocal quality and technique of the performers as well as the technical equipment is state-of-the-art. The recordings were made with an Apple MacBook Air M2, 2022 using the software Ableton Live 11. The 2-channel USB-C audio interface SSL 2 from “Solid State Logic” was connected to the MacBook Air. The microphone was a Neumann U87 Ai studio microphone. The recordings were made in a professional recording studio and the conditions were identical for all singers. The recording engineer processed all the files with the same effects chain (delay, reverb) so that a comparison can be drawn.</p> <p>The respective MIXES as well as the REFERENCES of the individual singers can be downloaded. The audio files provided may only be used for academic purposes and are protected by copyright.</p> <p>Vienna, 16/09/2024</p>
Collaborative Program Comprehension based on Augmented Reality (Evaluation Results of Master's Thesis)
<p>The dataset contains feedback generated through a survey for an augmented reality approach in the ExplorViz project.</p> <p>The dataset includes the results for a pilot study with two probands and the results for a case study with 20 probands.</p>
Abies recurvata Masters (BR0000024497114)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Abies recurvata Masters (BR0000009238725)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Abies recurvata Masters var. ernestii (Rehder) Rushforth (BR0000009463509)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Abies recurvata Masters var. ernestii (Rehder) Rushforth (BR0000009462595)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Abies recurvata Masters (BR0000009462588)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Master database for publication "Stakeholder engagement and knowledge co-production for better watershed management with the Freshwater Health Index"
<p> </p> <p>The spreadsheet is the master database used for the research with the title of "Stakeholder engagement and knowledge co-production for better watershed management with the Freshwater Health Index" to be published on <em>Current Research in Environmental Sustainability</em> in late 2022.</p> <p>The data include narratives for six principles on stakeholder engagement and knowledge co-production. These principles were derived by combining Talley et al’s five principles for effective stakeholder engagement (Talley et al. 2016) with Norström et al’s four principles for knowledge co-production (Norström et al. 2020). The six principles were aligned with the components of the freshwater health index (FHI) framework. Project leaders from nine FHI case studies completed a text table based on the description of the six principles and their FHI factors. This process generated the present master qualitative database with narrative responses. </p> <p>The socio-ecological context for each case study is provided for contextualization.</p>
Dynamical simulation of EBSD master pattern of nickel
<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of nickel (<em>Fm<span class="math-tex">\(\bar{3}\)</span>m</em>, <em>a</em> = 3.5236 Å). The master pattern was simulated with EMsoft v4.3. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV.</p> <p>The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python 3.7 or higher and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/ni_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: ni.xtal), EMMCOpenCL (input: ni.xtal, mcopencl.nml; output: ni_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, ni_mc_mp_20kv.h5; output: added to existing ni_mc_mp_20kv.h5).</p>
Dynamical simulation of EBSD master pattern of silicon
<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of silicon (<em>Fd<span class="math-tex">\(\bar{3}\)</span>m</em>, <em>a</em> = 5.4307 Å). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV.</p> <p>The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python 3.7 or higher and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/si_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: si.xtal), EMMCOpenCL (input: si.xtal, mcopencl.nml; output: si_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, si_mc_mp_20kv.h5; output: added to existing si_mc_mp_20kv.h5).</p>
Dynamical simulation of EBSD master pattern of chi-phase in steel
<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of a chi-phase (Fe<sub>36</sub>Cr<sub>15</sub>Mo<sub>7</sub>) in steel (<em>I<span class="math-tex">\(\bar{4}\)</span>3m</em>, <em>a</em> = 8.854 Å) (see Kasper [1954], doi:<a href="https://doi.org/10.1016/0001-6160(54)90066-8">10.1016/0001-6160(54)90066-8)</a>. The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 10 to 20 kV with an increment of 1 kV.</p> <p>The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/steel_chi_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG files show the stereographic projection of the upper and lower hemispheres of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: steel_chi.xtal), EMMCOpenCL (input: steel_chi.xtal, mcopencl.nml; output: steel_chi_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, steel_chi_mc_mp_20kv.h5; output: added to existing steel_chi_mc_mp_20kv.h5).</p>
Dynamical simulation of EBSD master pattern of aluminium
<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of aliminium (<em>Fm<span class="math-tex">\(\bar{3}\)</span>m</em>, <em>a</em> = 4.04 Å). The master pattern was simulated with EMsoft v4.1. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 10 to 20 kV with an increment of 1 kV.</p> <p>The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/am_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The al.xtal file was produced with the EMsoft program EMmkxtal, contains a complete description of the crystal structure, and is used as input to the EMsoft programs EMMCOpenCL and EMEBSDmaster. The latter two programs produced the al_mc_mp_20kv.h5 file.</p>
Dataset test: Master Data Science (LEB Oro)
<p>Archivo de prueba para la asignatura de ciclo de vida de los datos. El dataset contiene las estadísticas principales de los equipos de la LEB Oro (2022/2023) de las primeras 20 jornadas.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.