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10,554 results for “measurements”
Low-Frequency Measurements of the Effective-Stress Coefficient for Elastic Moduli of Mungaroo Sandstone
<p><span>The measurements were performed on <span>n-decane saturated sandstone </span>using a forced-oscillation laboratory apparatus utilizing stress-strain relationship. The dynamic elastic moduli have been measured in two sets of experiments: at constant pore pressures of 0, 1 and 5 MPa and differential pressure (defined as a difference between confining and pore pressures) varied from 3 to 19 MPa; and at </span><span>а</span><span> </span><span>constant confining pressure of 20 MPa and pore pressure varied from 1 to 17 MP. It was shown that the elastic moduli obtained in the measurements are in good agreement with the Gassmann moduli calculated for the range of differential pressures used in our experiments, which corresponds to the effective-stress coefficient equal to unity.</span></p>
MATLAB scripts and raw experimental data for the paper "Optimizing measurements of linear changes of NMR signal parameters" by Javier Agustin Romero, Krzysztof Kazimierczuk and Paweł Kasprzak
<p>Classical_fit.m - Comparison of simulation results and theoretical predictions for the linear fit of the resonance frequencies. </p> <p>Radon_transform - the same, but using Radon transform to determine linear coefficients.</p> <p>Amplitude.m - Comparison of errors of the linear coefficients for varying amplitude fit in simulations and theory.</p> <p>process_measurements.m - script to process experimental data (caffeine peak at 7.90 ppm). The data are stored in real.mat and imag.mat</p> <p>For the details of theoretical formulas, see the paper "Optimizing measurements of linear changes of NMR signal parameters" by Javier Agustin Romero, Krzysztof Kazimierczuk, and Paweł Kasprzak. The scripts were used to generate Figures in the paper.</p>
Data for: A novel and enhanced calibration of the tilting weir as a flow measurement structure
<p>To achieve reliable and equitable water distribution it is necessary to accurately estimate the volumetric discharge of water flow through rivers and canals. One such method of accomplishing this is by using hydraulic structures, such as the tilting weir. This structure not only can be used to measure the discharge of water on a continuous basis, but also allows for regulating the water level upstream of the structure. Presently, tilting weirs are often used to control water levels, but the literature on their utilization as flow measurement structures has remained sparse. This study presents a thorough analysis of laboratory experiments on scaled models of tilting weirs, where the flow depth upstream of the structure (i.e., head) and the inclination angle are used to calibrate an equation to estimate the discharge to a high degree of accuracy. Operational guidelines to ensure minimum uncertainty in measurement are also given.</p> <p>The data published here include head and discharge measurements for all experiments conducted, including information on the experimental location, date, and model dimensions. Publication of this data is intended to allow other researchers to verify the calibration procedure laid out in the primary article, and as a comparative dataset for future calibrations.</p>
Abingdon Town Square- 360 Measurements (E,C)
Abingdon Museum & St. Nicolas Church, Abingdon, UK "The County Hall has dominated the market place of Abingdon, south of Oxford, since the late 17th century. Designed by a protégé of Sir Christopher Wren, this splendid Baroque building was erected between 1678 and 1682. It housed a courtroom on the first floor, raised on arches above a market space. It is now home to the Abingdon County Hall Museum, and there are fine views from the rooftop overlooking the market square." "Another remaining part of the Abbey complex is St Nicolas' Church, once known as "The Little Church by the Gate". It was built for the lay servants of the Abbey to use for their prayers and services and probably also as a contact point between townsfolk and Benedictine monastery." 360 Measurements - Preview (External, Coloured) SIAD REF : OX127 Source: Objaverse 1.0 / Sketchfab
Camden Lock - 360 Measurements (E,B)
Camden Lock, London, UK "Camden Lock is a small part of Camden Town, London Borough of Camden, England, which was formerly a wharf with stables on the Regent's Canal." 360 Measurements - Preview (External, Black&White) SIAD REF : OX116 Source: Objaverse 1.0 / Sketchfab
Data for: Direct measurement of dynamic attractant gradients reveals breakdown of the Patlak-Keller-Segel chemotaxis model
<p>Chemotactic bacteria not only navigate chemical gradients but also shape their environments by consuming and secreting attractants. Investigating how these processes influence the dynamics of bacterial populations has been challenging because of a lack of experimental methods for measuring spatial profiles of chemoattractants in real-time. Here, we use a fluorescent sensor for aspartate to directly measure bacterially generated chemoattractant gradients during collective migration. Our measurements show that the standard Patlak-Keller-Segel model for collective chemotactic bacterial migration breaks down at high cell densities. To address this, we propose modifications to the model that consider the impact of cell density on bacterial chemotaxis and attractant consumption. With these changes, the model explains our experimental data across all cell densities, offering new insight into chemotactic dynamics. Our findings highlight the significance of considering cell density effects on bacterial behavior and the potential for fluorescent metabolite sensors to shed light on the complex emergent dynamics of bacterial communities.</p>
High sexual display trait diversity without measured genetic divergence in a montane hybrid zone involving young species (Habronattus americanus subgroup, Araneae, Salticidae)
<p>Genetic introgression, allele exchange across species boundaries, is a commonly recognized feature of animal evolution. Under such a paradigm contemporary contact zones provide first-hand and complementary insight into the geographic, phenotypic, and genetic details of introgression. Also, when mate choice phenotypes are conspicuous and variable in hybrids, contact zones provide potential insight into how sexual selection interacts with species boundary maintenance, particularly when postzygotic reproductive isolation is weak. The <em>Habronattus</em> <em>americanus</em> subgroup includes several recently evolved jumping spider species, with an estimated age of about 200,000 years, and substantial evidence for hybridization and introgression. We explored a contact zone involving <em>H. americanus</em> (Keyserling, 1885) and <em>H. kubai</em> (Griswold, 1979) on Mount Shasta, California, in alpine habitats that would have been unavailable (under ice) at the Last Glacial Maximum. We characterized morphological diversity within the contact zone, including the fine-scale geographic distribution of hybrid and parental individuals, and assessed genetic variation using ddRADseq data. Combined results indicate a lack of measured genomic differentiation between specimens with distinct morphologies, including individuals with phenotypes of the parental species. We identified a diverse array of hybrid morphologies, with phenotypic evidence for backcrossing, essentially forming a phenotypic bridge between parental taxa. The study area is characterized by more hybrid than parental individuals, with a significantly larger number of red-palped morphologies than white and/or yellow-palped morphologies; the novel, white-palped phenotype is perhaps transgressive. Overall, these results contribute to a better understanding of the expected ebb and flow of lineage interactions during the early stages of speciation.</p>
The Dynamic Assimilation Technique measures photosynthetic CO2 response curves with similar fidelity as steady-state approaches in half the time
<p>The net CO<sub>2</sub> assimilation (A) response to intercellular CO<sub>2</sub> concentration (C<sub>i</sub>) is a fundamental measurement in photosynthesis and plant physiology research. The conventional A/Ci protocols rely on steady-state measurements and take 15-40 minute per measurement, limiting data resolution or biological replication. Additionally, there are several CO<sub>2</sub> protocols employed across the literature, without clear consensus as to the optimal protocol or systematic biases in their estimations. We compared the non-steady state Dynamic Assimilation Technique (DAT) protocol and the three most used CO<sub>2</sub> protocols in steady-state measurements, and tested whether different CO<sub>2</sub> protocols lead to systematic differences in estimations of the biochemical limitations to photosynthesis. The DAT protocol reduced the measurement time by almost half without compromising estimations accuracy or precision. The monotonic protocol was the fastest steady-state method. Estimations of biochemical limitations to photosynthesis were very consistent across all CO<sub>2</sub> protocols, with slight differences in ribulose 1·5- bisphosphate carboxylase/oxygenase carboxylation limitation. The A/Ci curves were not affected by the direction of the change of CO<sub>2</sub> concentration but rather the time spent under TPU-limited conditions. Our results suggest that maximum rate of ribulose 1·5- bisphosphate carboxylase/oxygenase carboxylation (V<sub>cmax</sub>), linear electron flow for NADPH supply (J) and triose phosphate utilization (TPU) measured using different protocols within the literature are comparable, or at least not systematically different based on the measurement protocol used.</p>
Stimuli from: AwarePrompt: Using Diffusion Models to Create Methods for Measuring Value-Aware AI Architectures
<p>Stimuli generated using a Diffusion Model from the paper "AwarePrompt: Using Diffusion Models to Create Methods for Measuring Value-Aware AI Architectures".</p> <p>Please cite as:<br><span>Ciupinska, K.; Marchesi, S.; Abbo, G. A.; Belpaeme, T. and Wykowska, A. (2024). <strong>AwarePrompt: Using Diffusion Models to Create Methods for Measuring Value-Aware AI Architectures</strong>. In <em>Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: AWAI</em>; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 1436-1443. DOI: 10.5220/0012596400003636</span></p>
collected PTR-ToF-MS data, optical-based data, food frequency questionairre results, adipose tissue measurements, and anthroprometrics
<p><span>This file contains the collected PTR-ToF-MS data, optical-based data, food frequency questionairre results, adipose tissue measurements, and anthroprometrics. These data were used in the Periodic Technical Report Part B covering M37-M54. Graph generated from these data are Figure 16 and Figure 17 under Taks 7.5.</span></p> <p><span> </span></p> <p><span>Abbreviation<span> </span>Explanation</span></p> <p><span>BMI<span> </span>Body Mass Index</span></p> <p><span>SAT<span> </span>Subcutaneous adipose tissue</span></p> <p><span>VAT<span> </span>Visceral adipose tissue</span></p> <p><span>DHD1<span> </span>Vegetable intake</span></p> <p><span>DHD2<span> </span>Fruit intake</span></p> <p><span>DHD3<span> </span>Whole wheat products</span></p> <p><span>DHD4<span> </span>Legumes</span></p> <p><span>DHD5<span> </span>Nuts/seeds</span></p> <p><span>DHD6<span> </span>Dairy</span></p> <p><span>DHD7<span> </span>Fish</span></p> <p><span>DHD8<span> </span>Fat/oils</span></p> <p><span>DHD9<span> </span>High-fat and processed meat</span></p> <p><span>DHD10<span> </span>Sugar-containing beverages</span></p> <p><span>DHD11<span> </span>Unhealthy choices</span></p>
Progress Measures and Tangle Learning algorithm implementation and benchmarks
<p>The <code>pmtl.cpp</code> and <code>pmtl.hpp</code> files implement the PMTL solver in the <a href="https://github.com/trolando/oink">Oink framework</a>. The <code>benchmarks</code> folder contains the <code>run_benchmarks.sh</code> shell script which performs all the benchmarks automatically using <a href="https://github.com/sharkdp/hyperfine">hyperfine</a>. The games in the <code>benchmarks/real_world_games</code> folder are a selection from the <a href="https://github.com/SYNTCOMP/benchmarks/releases/tag/v2023.4">SYNTCOMP 2023 HOA files</a> which were converted to parity games using <a href="https://github.com/trolando/knor">Knor</a>. The games in the folders <code>benchmarks/rngames{25,50,100,200,2000}</code> are sparse games generated using Oink with 25, 50, 100, 200, and 2000 vertices respectively. These games can also be regenerated with a random seed using the <code>benchmarks/prepare_games.sh</code>.</p>
Measures of equatorial and polar lengths of pollen grains in Sorbus, Aria and Hedlundia from Norway
<p>The genus <em>Sorbus </em>s.l.<em> </em>consists of small to medium-sized trees primarily found in coastal areas, with three European hotspots of diversification: Fennoscandia, South-East Europe, and the British Isles. Taxonomic classification of <em>Sorbus </em>s.l. in Europe is still unresolved, and this study aims to address this issue by examining the pollen morphology of various <em>Sorbus</em> hybrids. Pollen morphology of 16 specimens from 13 species of <em>Sorbus</em> s.str., <em>Aria</em> and <em>Hedlundia</em>, some of them common, others are endemic and listed as threatened species, were studied. Measurements of the polar and equatorial axis of all pollen grains show that there are variations in pollen size and shape among different hybrids, with a correlation between ploidy levels and the equatorial diameter of the pollen. Surface structures of the pollen were observed using SEM. Principal Component Analysis (PCA) was performed to analyze the pollen characters, and the results show that it is possible to separate <em>Aria</em> from <em>Sorbus</em> and <em>Hedlundia</em> based on the length of the polar axis of the pollen grain, while the number of perforations is important for classification within <em>Hedlundia</em>. The study concludes that pollen morphology can be a useful tool for distinguishing between different <em>Sorbus </em>hybrids and can thus aid in understanding their past distributions.</p>
Precision and bias in dynamic light scattering optical coherence tomography measurements of diffusion and flow
<p>This repository contains raw data and analysis routines of the publication <strong>“<em>Precision and bias in dynamic light scattering optical coherence tomography measurements of diffusion and flow</em>”</strong> in Biomedical Optics Express (doi.org/10.1364/BOE.505847<em>). </em>The reader is free to use the scripts and data in this depository if the manuscript is correctly cited in their work. For further questions, feel free to contact the corresponding author. Python 3.7 was used for programming. Kindly note that simulating autocorrelation functions from extensive time series data, especially with a high repetition rate, can be time-consuming, often requiring more than 5-10 minutes. Despite parallelized processing routines for the measurement data, the full analysis may still take up to an hour. Please restart the kernel and run the code again if the parallelization fails.</p> <p>For the diffusion measurement under static conditions, there is only one file. However, for experiments involving both flowing and diffusing particles, the dataset comprises diffusion calibration, focus (beam shape) calibration, and flow measurement files. Due to the upload size limitations of the Zenodo repository, only the flow measurements corresponding to one discharge rate have been uploaded. Furthermore, only the non-dilute flow dataset has been uploaded for the same reason. However, for the dilute flow, the analysis logic remains the same, but users will need to utilize the complete g2 formula outlined in Section 2.2 of our article. All file names are sufficiently descriptive, showing whether it is diffusion, focus (waist) calibration or flow measurement. To conduct the analysis, it's essential to have information regarding the time series length (number of A-scans), the number of repeats (B-scans), and the acquisition rate.</p> <p>The results are plotted at the end of our analysis routines. The parameters are displayed as a function of depth. Users can readily compute the Signal-to-Noise Ratio (SNR) at each depth by utilizing the fitted autocorrelation amplitudes. Occasionally, the fitted amplitudes may surpass unity. In such instances, users can assume an extremely high (even infinite) SNR.</p> <div> <table> <tbody> <tr> <td> <p><strong>Name</strong></p> </td> <td> <p><strong>Description</strong></p> </td> <td> <p><strong>Parameters</strong></p> </td> </tr> <tr> <td> <p>Diffusion_03032023.oct</p> </td> <td> <p>Diffusion measurement file.</p> </td> <td> <p>Na=4096, Nb=1100, 5.5 kHz</p> </td> </tr> <tr> <td> <p>Diffusion_07032023.oct</p> </td> <td> <p>Diffusion calibration file for flow measurement.</p> </td> <td> <p>Na=4096, Nb=10, 36 kHz</p> </td> </tr> <tr> <td> <p>Waist_07032023.oct</p> </td> <td> <p>Beam waist calibration file for flow measurement.</p> </td> <td> <p>Na=4096, Nb=40, 36 kHz</p> </td> </tr> <tr> <td> <p>Q=2_07032023.oct</p> </td> <td> <p>Flow measurement file for a discharge rate of 2 ml/min.</p> </td> <td> <p>Na=4096, Nb=1000, 36 kHz</p> </td> </tr> <tr> <td> <p>Chirp.data</p> </td> <td> <p>File containing k-interpolation data.</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>ReadOCTFile.py</p> </td> <td> <p>Written by Jos de Wit, this module reads and imports spectra from raw OCT files.</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Data_processing.py</p> </td> <td> <p>This module contains all analysis, simulation and processing routines.</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Simulation_diffusion.py</p> </td> <td> <p>This script is for simulating and fitting g1 and g2 from diffusive particles.</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Simulation_flow.py</p> </td> <td> <p>This script is for simulating and fitting g1 and g2 from flowing and diffusive particles.</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Diffusion_parallel.py</p> </td> <td> <p>This script is for analyzing static diffusion measurements performed using Thorlabs Ganymede OCT system.</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Flow_parallel.py</p> </td> <td> <p>This script is for analyzing flow measurements performed using Thorlabs Ganymede OCT system.</p> </td> <td> <p> </p> </td> </tr> </tbody> </table> </div> <p> </p>
MC particle transport simulations for the 2022 LET-measurements at DCPT: v1.0.0
Open the record for dataset details and reuse information.
Measurements of Silurian brachiopod specimens from the Pentland Hills, Scotland
<p>The abundant and diverse brachiopod fauna from the Silurian (upper Llandovery-lower Wenlock) rocks of the Pentland Hills is described within its geographical stratigraphical context. The majority of species are described in detail, discussed and illustrated. A total of 53 species attributable to the following superfamilies are present (numbers of species, including those in open nomenclature, in parentheses): Linguloidea (7), Craniopsoidea (1), Discinoidea (4), Strophomenoidea (9), Plectambonitoidea (2), Chonetoidea (1), Childiopsoidea (2), Skenidioidea (1), Dalmanelloidea (3), Pentameroidea (2), Rhynchonelloidea (4), Atrypoidea (4), Athyridoidea (5), Cyrtioidea (5) and Delthyridoidea (3). Five new species, <em>Leptaena eska</em>, <em>Isorthis</em> (<em>Ovalella</em>) <em>clarksoni</em>, <em>Dicoelosia</em> <em>paratenua, Oglupes scotia </em>and <em>Lissatrypa scotica</em>, are erected. Nevertheless in terms of abundance the fauna is dominated by individuals belonging to the Strophomenoidea, Plectambonitoidea and Dalmanelloidea. The composition of the fauna, its deeper-water setting associated with finer-grained siliciclastic substrates characterizes this Pentlandian biota.</p>
A robust method for measuring aminoacylation through tRNA-Seq
<p>Raw data and code for processing and recreating plots shown in the associated article.</p> <p>The gzipped tar ball was split into 512 mb packs to enable easy upload/download.</p> <p>To download with <code>zenodo_get</code> run the command:</p> <p><code>pip3 install zenodo_get</code></p> <p><code>zenodo_get -r 10778311</code></p> <p>To merge and unzip run the command:</p> <p><code>cat tRNA-charge-seq.tar.gz.part-* | gunzip -c > tRNA-charge-seq.tar</code></p> <p><code>tar -xvf tRNA-charge-seq.tar</code></p>
Flat thin films forward simulations (Complex fresnel rs and rp). Rough thin film of sio2, sweeped in thickness about 1micron (Intensity and raw rs and rp.) Both as measured with 0 to NA = 0.9 angles.
<p>This dataset is part of a project under the ATMOC consortium, involving case studies of various simple one-material layers and their optical properties, particularly focusing on their interaction with light in terms of reflectivity. It encompasses samples , studied by institutions like UT Twente, IMEC, and CEA. These samples include flat surfaces coated with materials like Si, Mo, Ru, Al, Ru, Ni, Mo, Nb, Pt, Ta, Cr, TiN, and and rough thermal SiO2 on Si wafers, with thicknesses ranging from a few nanometers to several micrometers, applied through processes like PVD deposition and thermal oxidation at high temperatures.</p> <p>The dataset leverages refractive index data from the online resource "refractiveindex.info" to simulate the optical properties of these layers. The reflection of light is primarily determined by the Fresnel reflection coefficient, with additional simulations for rough surfaces using JCMWave's Finite Element Method (FEM) to understand the effects of surface roughness on light reflection. Primary setup it represents is prototype of Coherent Fourier Scatterometry (typically used for critical parameters of grating reconstruction|).</p> <p>Data are stored in .mat and .csv formats, with MATLAB scripts for generating visualizations of the model results, such as pcolor plots of intensity reflections based on variables like cover thickness and k-axis normalization. Python examples are also provided for loading and visualizing the data. The datasets aim to offer a comprehensive understanding of the optical properties of these materials and structures, supporting the development of standards and models for optical measurements and applications. Additionally, the dataset includes references to further studies and methodologies, such as the T-matrix approach and the Fabry-Perot formula extension, indicating a scholarly foundation in optical physics and engineering research.</p>
Ejecta Thickness Measurements at Small Lunar Craters
Open the record for dataset details and reuse information.
Data and Codes for "Non-local transport measurements in hybrid quantum Hall - superconducting devices"
<p>Datasets and processing code for reproduction of "Non-local transport measurements in hybrid quantum Hall - superconducting devices".</p>
The accuracy of length measurements made using imaging SONAR is inversely proportional to the beam width
<p>Multibeam imaging SONARs have been used for a range of measurement applications, such as measurements of fish lengths. This study aimed to quantify the accuracy of imaging SONAR systems, that varied in frequency and beam geometry, to measure the length of synthetic targets positioned perpendicularly. Blueprint Oculus imaging SONAR systems, with four different (centre) frequencies (750 kHz, 1.2 MHz, 2.1 MHz, and 3 MHz), were used to measure the length of three targets of nominal lengths: 10 cm, 20 cm, and at ranges between 1 m and 15.5 m. The effect of beam geometry on measurement error was then examined using regression analysis. This study found that there was an overestimation of the actual length of the target for all measurements that was inversely proportional to the horizontal beam width. The measurement error can be reduced by normalising for beam width. However, the variation of measurements (i.e. the precision), was found to also increase with range, which was attributed to the increasing beam separation. It is important that the effect of beam width on the accuracy of target length measurements, by imaging SONARs is acknowledged in future studies. One approach to mitigating this problem, is to limit the range at which length measurements are made to a beam width that produces an estimated level of error that is acceptable for that study. Keywords: acoustic camera, imaging SONAR, underwater acoustics, underwater measurements.</p>
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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.