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10,735 results for “dependability”
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 2. Content of the single database table in the previous implementation
<p>In the previous implementation there has been used a single database table which did not provide a consistent overview of existing tabs, areas and fields, as well as of the languages, in which a specific field of an area or tab was translated. So, it was difficult to maintain this database table by the customizing end-users in different languages, because every update of a tab, area or field required a number of actions in this table which had to be done manually and very carefully, requiring much time and attention. The number of rows of this table was very large and the content looked like the one shown in figure 2. </p>
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>
Research data supporting "Raman spectroscopic imaging for quantification of depth-dependent and local heterogeneities in native and engineered cartilage"
<p>Research data supporting the publication: Albro M. et al., 2018, npj Regenerative Medicine, DOI: https://doi.org/10.1038/s41536-018-0042-7.</p>
Biased RNG Bit Sequences, Dependent RNG Bit Sequences
<p>Matlab PRNG generated biased bit sequences without correlations and unbiased bit sequences with bit correlations; used for validation of the tests in Publication: https://doi.org/10.5281/zenodo.1286723</p>
Data from: Rhizosphere bacterial community composition depends on plant species identity and soil legacy effects
<p>This record contains supplementary information for the article "Rhizosphere bacterial community composition depends on plant diversity legacy in soil and plant species identity".</p> <p><strong>Supplemental Table S1.</strong> The table contains the annotation for all the samples sequenced and analyzed.</p> <p><strong>Supplemental Table S2. </strong>The table contains all primer sequences used in the study.</p> <p><strong>Supplemental Table S3.</strong> The zip-file contains a table with the taxonomic annotation of the operational taxonomic units (OTUs) identified in the study.</p> <p><strong>Supplemental Table S4. </strong> The zip-file contains a table with sequence counts of the operational taxonomic units (OTUs) identified in the study.</p> <p><strong>Supplemental Table S5. </strong>The workbook contains a sheet with the number of operational taxonomic units (OTUs) exhibiting differential abundance in any of the contrasts tested in this study. Note that “down/up” indicates whether the OTU was less (“down”) or more (“up”) abundant in the first group of the contrast. For example, given the contrast “PH_mix_vs_mon_”, “down” corresponds to higher abundance in the pots from the monoculture plant history. Conversely, “up” refers to higher abundance in the pots from the mixed culture plant history. In addition, the workbook contains one sheet per contrast with the logBaseMean (log2 of the average normalized abundance across all samples), the logFC (log2 of the fold-change), the <em>P</em>-value, and the adjusted <em>P</em>-value (FDR). Only OTUs with a <em>P</em>-value <= 0.05 or an adjusted <em>P</em>-value (FDR) <= 0.1 are given.</p> <p><strong>Supplemental Table S6. </strong>The table contains the number of bacterial OTUs annotated with a given bacterial phylum.</p> <p><strong>Supplemental Table S7. </strong>The table contains all phyla tested for enrichment/depletion in the set of OTUs with an increased abundance in monoculture and mixed culture soils respectively. “Total counts (all OTUs)” corresponds to the total number of all OTUs annotated with a given phyla (reference set). “Observed” corresponds to the number of OTUs annotated with a given phyla in the set OTUs with increased abundance in monoculture/mixed culture soils (test set). "Expected" gives the number of OTUs which would be expected to be annotated with a given phyla if the test set were randomly sampled from the reference set.</p> <p><strong>Supplemental File S1.</strong> The zip-file contains a fasta file with the 10'205 OTU sequences identified in the study.</p> <p> </p> <p> </p>
Earthquake Nucleation Size: Evidence of Loading Rate Dependence in Laboratory Faults
<p>The data presented here is complementary to the manuscript 'Earthquake Nucleation Size: Evidence of Loading Rate Dependence in Laboratory Faults'.</p> <p>It comprises selected movies of rupture propagation at different loading rates as well as strain gages time signals filtered at 500 kHz and 30 kHz.</p> <p>Useful information about the processed data can be found in excel spreadsheets and text files given in the folders. Some python scripts are also available to plot the data.</p>
Common marmosets are sensitive to simple dependencies at variable distances in an artificial grammar
<p>Video data of each trial in a study with common marmoset monkeys.</p> <p>Its current title is "Common marmosets are sensitive to simple dependencies at variable distances in an artificial grammar".</p> <p>Abstract of the publication is as below.</p> <p>Recognizing that two elements within a sequence of variable length depend on each other is a key ability in understanding the structure of language and music. Perception of such interdependencies has previously been documented in chimpanzees in the visual domain and in human infants and common squirrel monkeys with auditory playback experiments, but it remains unclear whether it typifies primates in general. Here, we investigated the ability of common marmosets (<em>Callithrix jacchus</em>) to recognize and respond to such dependencies. We tested subjects in a familiarization-discrimination playback experiment using stimuli composed of pure tones that either conformed or did not conform to a grammatical rule. After familiarization to sequences with dependencies, marmosets spontaneously discriminated between sequences containing (‘consistent’) and lacking dependencies (‘inconsistent’), independent of stimulus length. Marmosets looked more often to the sound source when hearing sequences consistent with the familiarization stimuli, as previously found in human infants. Crucially, looks were coded automatically by computer software, avoiding risk of human bias. Our results support the hypothesis that the ability to perceive dependencies at variable distances was already present in the common ancestor of all anthropoid primates (<em>Simiiformes</em>).</p>
Tomographic X-ray data of time-dependent 3D cross phantom
<p>This is the documentation of the tomographic X-ray data of a dynamic cross phantom made available at http://www.fips.fi/dataset.php. The data can be freely used for scientific purposes with appropriate references to the data and to this document in http://arxiv.org/. The data set consists of (1) the X-ray sinogram with 16 or 30 time frames (depending on resolution) of 2D slices of the cross phantom, made by crossing aluminum and graphite sticks in melted candle wax and (2) the corresponding static and dynamic measurement matrices modeling the linear operation of the X-ray transform. Each of these sinograms was obtained from a measured 360-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.</p> <p>This new version contains added file <a href="https://zenodo.org/api/files/5c00de09-bb57-4c9e-9beb-00c63358de3c/DataStatic_560x60.mat?versionId=1e53d43d-d999-435e-bb1c-8297cf32c984">DataStatic_560x60.mat </a> with 80 time frames and <a href="https://zenodo.org/api/files/5c00de09-bb57-4c9e-9beb-00c63358de3c/DataStatic_1120x60.mat?versionId=afded407-6c88-4880-b427-fe7fd09306f4">DataStatic_1120x60.mat </a> with 230 time frames. You can run these files with the code example 2, which computes a Tikhonov regularized reconstruction using conjugate gradient algorithm.</p>
Results from "Binary Reduction of Dependency Graphs"
<p>The raw data of the reduction of the 238 bugs as extracted from the runs of the four algorithms ddmin, verify, closure, binary. An extra column also exists that describes the run of Binary Reduction on the list of classes directly.</p> <p>The columns in `deliverable.csv` are predicate (the name of the decompiler), name (the name of the project we ran on), size (number of classes), scc (number of strongly connected components). Then for each tool we have size, scc (final size and scc), iters (iterations to last success), total-iters (iterations before finishing), time (time to last success (s)), total-time (time before finishing), timeout (did the predicate timeout, or succeed), check (did the bug still exist after reduction)</p> <p>The `benchmarks.csv` covers basic statistics about the programs used in the results. Lib is the number of library classes, LOC is lines of source code in the program, classes are the number of classes, edges are the edges in the dependency graph, degree is the average in and out degree in the graph, scc is the number of strongly connected components, out_degree and in_degree is the median in and out degree in the graph.</p>
Quantitative phase microscopy timelapse dataset of PNT1A, DU-145 and LNCaP cells with annotated caspase 3,7-dependent and independent cell death
<p>Time-lapse dataset of prostatic cell lines (DU-145, PNT1A, LNCaP) exposed to cell death-inducing compounds (staurosporine, doxorubicin) and black phosphorus. The time-lapse dataset is annotated as follows: (1) cell masks and cell numbers, (2) by cell death type and timepoint of death in the attached xlsx file. This dataset is supplementary to the article:</p> <p>Vicar, T., Raudenska, M., Gumulec, J. <em>et al.</em> The Quantitative-Phase Dynamics of Apoptosis and Lytic Cell Death. <em>Sci Rep</em> <strong>10, </strong>1566 (2020). <a href="https://doi.org/10.1038/s41598-020-58474-w">https://doi.org/10.1038/s41598-020-58474-w</a></p> <p>Correlative fluorescence microscopy is in a separate dataset <a href="https://doi.org/10.5281/zenodo.4531900">10.5281/zenodo.4531900</a></p> <p>Code is available at <a href="https://github.com/tomasvicar/CellDeathDetect">https://github.com/tomasvicar/CellDeathDetect</a></p> <p><strong>Methods</strong></p> <p><em>Cell culture and cultured cell conditions</em><br> LNCaP cell line was established from a lymph node metastase of the hormone-refractory patient and contains a mutation in the AR gene. This mutation creates a promiscuous AR that can bind to different types of steroids. LNCaP cells are AR-positive, PSA-positive, PTEN-negative and harbor wild-type p53 {Skjoth, 2006 #150; Mitchell, 2000 #149}. PNT1A is immortalized non-tumorigenic epithelial cell line. PNT1A cells harbour wild-type p53. However, SV40 induced T-antigen expression inhibits the activity of p53. This cell line had lost the expression of androgen receptor (AR) and prostate-specific antigen (PSA) (Raudenska, 2019). DU-145 cell line is derived from the metastatic site in the brain and contains P223L and V274F mutations in p53. This cell line is PSA and AR-negative and androgen independent (Chappell, 2012). All cell lines used in this study were purchased from HPA Culture Collections (Salisbury, UK). and were cultured in RPMI-1640 medium with 10 % FBS. The medium was supplemented with antibiotics (penicillin 100 U/ml and streptomycin 0.1 mg/ml). Cells were maintained at 37°C in a humidified (60%) incubator with 5% CO2 (Sanyo, Japan).</p> <p><em>Correlative time-lapse quantitative phase-fluorescence imaging</em></p> <p>QPI and fluorescence imaging were performed by using multimodal holographic microscope Q-PHASE (TESCAN, Brno, Czech Republic). To determine the amount of caspase-3/7 product accumulation, cells were loaded with 2 µM CellEventTM Caspase-3/7 Green Detection Reagent (Life Technologies, Carlsbad, CA, USA) according to the manufacturer’s protocol and visualized using FITC 488 nm filter. To detect the cells with a loss of plasma membrane integrity, cells were stained with 1 ug/ml propidium iodide (Sigma Aldrich Co., St. Louis, MO, USA) and visualized using TRITC 542 nm filter. Nuclear morphology and chromatin condensation were analyzed using Hoechst 33342 nuclear staining (ENZO, Lausen, Switzerland) and visualized using DAPI 461 nm filter. Cells were cultivated in Flow chambers μ-Slide I Lauer Family (Ibidi, Martinsried, Germany). To maintain standard cultivation conditions (37°C, humidified air (60%) with 5% CO2) during time-lapse experiments, cells were placed in the gas chamber H201 - for Mad City Labs Z100/Z500 piezo Z-stages (Okolab, Ottaviano NA, Italy). To image enough cells in one field of view, lens Nikon Plan 10/0.30 were chosen. For each cell line and each treatment, seven fields of view were observed with the frame rate 3 mins/frame for 24 or 48 h respectively. Holograms were captured by CCD camera (XIMEA MR4021 MC-VELETA), fluorescence images were captured using ANDOR Zyla 5.5 sCMOS camera. Complete quantitative phase image reconstruction and image processing were performed in Q-PHASE control software. Cell dry mass values were derived according to {Prescher, 2005 #177} and {Park, 2018 #178} from the phase (eq. (1)), where m is cell dry mass density (in pg/μm2), φ is detected phase (in rad), λ is wavelength in μm (0.65 μm in Q-PHASE), and α is specific refraction increment (≈0.18 μm3/pg). All values in the formula except the Phi are constant. Phi (Phase) is the value measured directly by the microscope. Integrated phase shift through a cell is proportional to its dry mass, which enables studying changes in cell mass distribution (Park et al., 2018).</p> <p><strong>File description</strong></p> <p>There are three archives included for particular cell lines:</p> <ul> <li>QPI_annotated_timelapse_DU145.zip for DU-145 cells</li> <li>QPI_annotated_timelapse_PNT1A.zip for PNT1A cells</li> <li>QPI_annotated_timelapse_LNCaP.zip for LNCaP cells</li> </ul> <p>The archive includes of following files:</p> <ul> <li><strong>Tiff with time-lapse</strong> quantitative phase image (32-bit files 600x600px with values in pg/um2 with framerate 1 frame/3minutes with 1.59 px/um), named <em>QPI_cellline_treatment_FOV.tiff</em></li> <li><strong>Tiff file with segmentation</strong> mask for particular cells named <em>mask_cellline_treatment_FOV.tiff</em></li> <li><strong>xlsx table</strong> with cell death type (1 for apoptosis, 2 for necrosis, 3 for ambiguous/surviving) and time of death for representative cell number from mask, named <em>labels_cellline_treatment_FOV.xlsx</em></li> </ul> <p>file naming has following conventions:</p> <ul> <li>cell names: DU145, PNT1A, LNCaP for particular cell line</li> <li>treatments: st, bp, do for staurosporine, black phosphorus and doxorubicin</li> <li>fields of view: 1 to 7</li> </ul> <p>e.g. QPI_DU145_st_4.tif, mask_DU145_st_4.tif, labels_DU145_st_4.xlsx</p> <p>Note that correlative fluorescence images are available at <a href="https://doi.org/10.5281/zenodo.4531900">10.5281/zenodo.4531900</a></p>
An Analysis of Dependency Network Evolution in PyPI
<p>Retrieved from Libraries.io.</p>
Sex-dependent discrimination learning in lizards: a meta-analysis
<p>Raw data and R code used for analysis and to create plots</p>
Pedalion Ancient Greek Dependency Treebank - Euripides: Medea
<p>xml treebank</p> <p>Annotated by Toon Van Hal, with student contributions by Mathieu Cuijpers; Sanderijn Gijbels; Yoran Joosten; Yordi Lenaerts; Eva Uffing; Chiara Van der Hasselt; Lisa Vanhee and Jolien Volders (KU Leuven Bachelor 3, 2018-2019). Based on a preparsed text by Alek Keersmaekers. Controlled by Toon Van Hal, Sanderijn Gijbels and Yoran Joosten.</p>
Dataset: Climate experts' views on geoengineering depend on their beliefs about climate change impacts
<p>This is the dataset and corresponding do-files to reproduce the main results from the Paper "Climate experts’ views on geoengineering depend on their beliefs about climate change impacts" and from the Supplemenatary Information.</p> <p>This fith versions incorporates additional work done after journal review.</p>
Anomaly-free, flavour-dependent U(1) charge assignments for Standard Model/Standard Model plus three right-handed neutrino fermionic content
<p>We present lists of anomaly-free charge combinations up to a maximum magnitude charge Qmax given by the number at the end of the filename. Filenames beginning "SMcharges" are for the Standard Model fermion content, whereas "SMnuRcharges" are for Standard Model plus three right-handed neutrino fermion content. Use the bunzip2 program to unpack the larger files with a bz2 suffix.</p> <p>The files searchU1.cpp and searchU1.h contain C++ files (in the 2014 standard) to produce the solutions. runme.sh is a bash script that compiles the programs and then runs it several times, once to produce each file.</p> <p>filterNeut.cpp contains an example program that reads in one of the solution lists, applies a filter to it, and only prints out solutions that satisfy the filter.</p> <p>These data and programs are based on this paper: https://arxiv.org/abs/1812.04602</p> <p> </p>
Signal frequency dependence of ionospheric scintillations: An indicator of irregularity spectrum characteristics
<p>The files contain the following data for 11 days in March 2015:</p> <p>1) L-band S4 for the L1 signal from geostationary satellite GSAT-10 recorded at two stations: MUM and TRV.</p> <p> The data columns represent: Indian Standard Time (IST), signal path ELEVATION and AZIMUTH, S4 , S4_corrected , IPP_LATITUDE and IPP_LONGITUDE. The file name contains the day information.</p> <p>2) VHF S4 for the 251 MHz signal from geostationary satellite UFO10 recorded at two stations: MUM and TIR.</p> <p>The data columns represent: Year Month Day IST S4.</p>
The wavelength-dependent complex refractive index of hygroscopic aerosol particles and other aqueous media: an effective oscillator model
<p>Using cavity-enhanced Raman spectroscopy of single, optically trapped droplets, we measure both the real and imaginary parts of the refractive index of NaCl, NaNO<sub>3</sub>, (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>, MgSO<sub>4</sub>, citric acid and a 1:1 molar ratio NaCl:NaNO<sub>3</sub> aqueous solutions at a range of water activities. </p>
РИС. 3. Графики Зависимости: А – Ширины (D) и В – фронтальной кривиЗны (D/L) раковины Corbicula fluminea от длины (L). В качестве Зависимых переменных (y) в формулах укаЗаны Ширина (D) и фронтальнаЯ кривиЗна раковины (D/L). FIG. 3. Graphs of correlations between (A) width (D), (B) frontal curvature (H/L) and the shell length (L) of Corbicula fluminea. The formulas include shell width (D) and frontal curvature (D/L) as dependent variables (y). in Особенности аллометрического роста двустворчатого моллюска-вселенца Corbicula fluminea (Bivalvia: Cyrenidae) иЗ бассейна реки Дон
РИС. 3. Графики Зависимости: А – Ширины (D) и В – фронтальной кривиЗны (D/L) раковины Corbicula fluminea от длины (L). В качестве Зависимых переменных (y) в формулах укаЗаны Ширина (D) и фронтальнаЯ кривиЗна раковины (D/L). FIG. 3. Graphs of correlations between (A) width (D), (B) frontal curvature (H/L) and the shell length (L) of Corbicula fluminea. The formulas include shell width (D) and frontal curvature (D/L) as dependent variables (y).
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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.