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10,553 results for “measurements”
Odonata Dataset: Odonata Other Measurements
Various Odonata measurements that were gathered from various locations.<p></p>
Field measurements of moisture content of dead leaves of Pinus pinaster (2014-2023)
<p>The Association for the Development of Industrial Aerodynamics - Forest Fire Research Centre (ADAI-CEIF) has developed a daily measurement program for the moisture content of a set of representative fine fuels in forests of Central Portugal since 1987. The sampling site is located is in Lousã, and samples are collected daily during the main fire season (15<sup>th</sup> of May - 15<sup>th</sup> of October) and twice a week for the rest of the year. These samples are then analyzed at the Laboratory for Forest Fire Studies (LEIF), located less than 1km from the sampling plot.</p> <p>As part of a study named "The role of field measurements of fine dead fuels moisture content in the Canadian Fire Weather Index System – a case study in the Central Region of Portugal" (https://doi.org/10.3390/f15081429) we present the field measurements of surface litter (<em>Pinus pinaster</em>) carried out from 2014 to 2023. Based on this dataset, the study proposes a correction for the moisture factor (<em>m<sub>f</sub></em>) in the Fine Fuel Moisture Code (FFMC) of the Canadian Fire Weather Index System (CFWIS). This moisture correction was used to directly determine the Initial Spread Index (ISI) and, subsequently, the Fire Weather Index (FWI).</p> <p>Acknowledgments:</p> <p>We gratefully acknowledge the researchers and laboratory technicians of the ADAI-CEIF team, who dedicated part of their time to the field collection of samples to determine the moisture content of forest fuels in Lousã (Coimbra, Portugal). In particular, we would like to thank the MCFIRE project (PCIF/MPG/0108/2017, https://mcfire.adai.pt/) for coordinating and supporting these measurements from 2019 to 2023. We also gratefully acknowledge the ongoing efforts of Nuno Luís and João Carvalho in ensuring the collection and processing of samples in the laboratory.</p>
Supplementary data for "Collision-induced absorptions by pure CO2 in the infrared: New measurements in the 1150–4500 cm−1 spectral range and empirical modeling for applications" published in Icarus. https://doi.org/10.1016/j.icarus.2024.116265
<p>Supplementary data for the paper entitled ""Collision-induced absorptions by pure CO2 in the infrared: New measurements in the 1150–4500 cm−1 spectral range and empirical modeling for applications" published in <em>Icarus</em>. https://doi.org/10.1016/j.icarus.2024.116265</p> <p>These data files contain the coefficients needed to compute the shape of a pure CO2 CIA band at a given temperature (see Eq. (3)) of the paper https://doi.org/10.1016/j.icarus.2024.116265</p> <p>"CIA_shape_coeff.dat" involves a CIA band shape without dimer signatures </p> <p>"CIA_dimer_shape_coeff.dat" involves a CIA band shape with dimer signatures </p> <p>"CIA_Fermi_doublet_shape_coeff.dat" involves the Fermi doublet band shape</p> <p>First column is wavenumber in cm-1, the rest of the columns contain the coefficients.</p>
The Impact of the 8-10 March 2012 Geomagnetic Storm on Inner Zone Protons as Measured by Van Allen Probes
<p>Dataset for manuscript</p> <p>ctr.mat: test-particle count, Fig4</p> <p>psdgoes.mat, psdob0.mat: PSD from RD, Fig5, 6, 8</p> <p>mar2012-ts05-flux-777001.txt, mar2012-ts05-flux-777003.txt: test-particle trajectories, Fig7</p> <p> </p>
FIGURE 1. Analyzed measurements and a in Three new species of the genus Tanidromites (Decapoda: Brachyura: Tanidromitidae) from the Late Jurassic (Oxfordian) of Poland
FIGURE 1. Analyzed measurements and a groundplan of the morphological structures in the species of Tanidromites on the example of T. alexandrae (after Starzyk, 2015a, figure 1). Further explanation in text (ag – anterior groove, hp – hepatic pit, ht – hepatic tubercle, cp – cervical pit). Abbreviations for the measurements are in the Material and Methods.
Dataset related to the publication "Measurement and assignment of J = 5 to 9 rotational energy levels in the 9070-9370 cm-1 range of methane using optical frequency comb double-resonance spectroscopy"
<p>The files contain the normalized interleaved double-resonance spectra recorded with four different pump transitions, indicated in the file name. The first column is the wavenumber, the second column is the transmission intensity.</p>
Associations between Perceived Cancer Impact and Measures of Health Behavior in Survivors of Childhood Cancer
<p>This dataset corresponds to a manuscript titled "Associations between Perceived Cancer Impact and Measures of Health Behavior in Survivors of Childhood Cancer" which can be found in the Journal of Cancer Survivorship. https://doi.org/10.1007/s11764-024-01667-3</p>
Enzymes, PLFA, NLFA and soil properties measured in Juniperus thurifera forest expansion gradient
<table> <tbody> <tr> <td>Columns<span> </span></td> <td>Description</td> <td>Unit</td> <td>Comments</td> </tr> <tr> <td>Site</td> <td>Huertahernando, Ribarredonda, Maranchón</td> <td> </td> <td>3 levels</td> </tr> <tr> <td>Stage</td> <td>Stage of forest expansion gradient (Mature forest, transition zone and expanding front)</td> <td> </td> <td>3 levels</td> </tr> <tr> <td>Microhabitat</td> <td>Under canopy/Open areas</td> <td> </td> <td>2 levels</td> </tr> <tr> <td>Sample code</td> <td>Sample code corresponding to sampling point</td> <td> </td> <td> </td> </tr> <tr> <td>Plot</td> <td>18 plots</td> <td> </td> <td> </td> </tr> <tr> <td>From F to AG<span> </span></td> <td>PLFAs peaks</td> <td>nmol g-1 soil</td> <td> </td> </tr> <tr> <td>Column AF</td> <td>NLFA peak</td> <td>nmol g-1 soil</td> <td> </td> </tr> <tr> <td>OM<span> </span></td> <td>organic matter</td> <td>%</td> <td> </td> </tr> <tr> <td>pH</td> <td>pH</td> <td> </td> <td> </td> </tr> <tr> <td>From AK to AQ</td> <td>Enzimes</td> <td>pmol mg-1 min-1</td> <td> </td> </tr> </tbody> </table>
Flow velocity measurement data for the two desanding chambers of HPP Susasca before and after modification of tranquilizing racks in 2019 and 2021
<p>This dataset includes the flow velocity measurements in the sand trap of HPP Susasca before and after the modification of the tranquilizing racks, respectively. The study was conducted by the Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich.</p>
Positronium Lifetime Validation Measurements with PET/CT
<p>Processed data from the publication W. Steinberger et al. EJNMMI Physics <strong>11</strong>, 76 (2024) available at https://doi.org/10.1186/s40658-024-00678-4</p> <p>The evaluated singles data (the .l files) is in binary format. Its made of 64 bit floating point numbers and the data is organized as x,y,z,t. The three coordinates are in mm and the time difference between the prompt and coincidence photon is in ns for each detected three-photon event. It can be read with the following Python function, which returns a large table with four columns. </p> <blockquote> <p>def read_singles_binary(file):<br> a = np.fromfile(file, dtype=np.float64).reshape((-1,4))<br> a = a[:,[1,2,0,3]] # convert to zyx<br> a[:,0] *= -1 # flip z<br> a[:,1] *= -1 # flip y<br> return a</p> </blockquote> <p> </p> <p>The text files are time difference distributions with two columns: time difference in ns and number of counts. </p> <p> </p> <p> </p>
Figure 14. - Relationship between measurements M1 and M2 in Guide for the identification of archaeological sea sturgeon (Acipenser sturio and A. oxyrinchus) remains
Figure 14. - Relationship between measurements M1 and M2 on palatopterygoid from modern sturgeons of known length (adapt- ed from Desse-Berset, 1994). ● Data for modern A. sturio from Desse-Berset, 1994; O RBINS 24792, A. oxyrinchus; Θ BAI 1884, morphologically identified A. sturio.
Figure 16. - Relationship between measurements M1 and M2 in Guide for the identification of archaeological sea sturgeon (Acipenser sturio and A. oxyrinchus) remains
Figure 16. - Relationship between measurements M1 and M2 on dermopalatines from modern sturgeons of known length (adapted from Desse-Berset, 1994). ● Data of modern A. sturio from DesseBerset, 1994; O RBINS 24792, A. oxyrinchus; Θ BAI 1884, morphologically identified A. sturio.
Figure 18. - Relationship between measurements M1 and M2 in Guide for the identification of archaeological sea sturgeon (Acipenser sturio and A. oxyrinchus) remains
Figure 18. - Relationship between measurements M1 and M2 on the dentary from modern sturgeons of known length (adapted from Desse-Berset, 1994). ● Data of modern A. sturio from Desse-Berset, 1994; O RBINS 24792, A. oxyrinchus; Θ BAI 1884, morphologically identified A. sturio.
Fig. 1 in Automated size measurements of Halyomorpha halys (Stål) (Heteroptera: Pentatomidae) with simple imagebased methodology
Fig. 1. Illustration of the image-based measurement method. (A) Image of brown marmorated stink bug used for automated size estimation, shown afer CAmera aS Scanner processing. (B) Image of segmented insect, whereby the body is coded as white and the antennae and legs are shown as gray. Gray sec- tions are excluded from analysis. The red line represents the pronotal width measurement, the purple line denotes the ventral length measurement.
Mechanical Measurements of IntI1 Synaptic Complex Stability
<p>These data sets are associated with the publication "<em>The recombination efficiency of the bacterial integron depends on the mechanical stability of the synaptic complex</em>" Preprint available here: https://doi.org/10.1101/2024.04.09.588808</p> <p>Single-molecule force spectroscopy data of various IntI1 variants forming complexes with different attC-stite variants.</p> <p>ZIP files contain h5 data recoreded on a LUMICKS C-Trap device.</p> <ul> <li>IntI1wt.zip contains force spectroscopy data (indivdual h5 traces) of IntI1wt with aadA7bs attC sites</li> <li>IntI1Y312F-Alanine.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F-double Alanine mutant with aadA7bs attC sites</li> <li>IntI1Y312F-mEGFP.zip contains correlative force spectroscopy and confocal imaging data (h5 files) of IntI1Y312F-mEGFP binding and moving on single-stranded DNA</li> <li>IntI1Y312F-Truncated.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F-C-terminal truncation with aadA7bs attC sites</li> <li>IntI1Y312F_aadA7-bs.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with aadA7bs attC sites</li> <li>IntI1Y312F_aadA7-ts.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with aadA7ts attC sites</li> <li>IntI1Y312F_aadA7bs-L2.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with aadA7bs-L2 hybrid attC sites</li> <li>IntI1Y312F_aadA7bs-VCRwt.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with aadA7bs-VCRwt hybrid attC sites</li> <li>IntI1Y312F_L2.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with L2 attC sites</li> <li>IntI1Y312F_VCRwt.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with VCRwt attC sites</li> <li>IntI1Y312F_VCRinv.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with VCRinv attC sites</li> </ul> <p>README.txt contains information about how to read the individual h5 files with e.g. a Python script.</p>
Rock thermal conductivity and thermal inertia measurements under martian atmospheric pressures - Data
<p>Dataset accompanying the paper "Rock thermal conductivity and thermal inertia measurements under martian atmospheric pressures" published in Icarus in September 2024. </p> <p>Files included: </p> <p>Individual photos of the rocks in this study's sample suite; photos of laboratory equipment and setup; raw emissivity spectral data, emissivity specta plotted; thermal inertia data collected with the MTPS sensor; thermal conductivity data collected with the TPS sensor; itemized calculations of thermophysical data error; sample mineral abundance data; sample major/trace element measurement data; and detailed sample porosity data. </p> <p> </p>
Velocity and concentration measurements of passive tracer above gravelly seabeds under the wave influence
<p><strong>General description:</strong><br>This dataset was compiled and generated by Helena Stirnweiß as part of a series of Particle Image Velocimetry (PIV) and Laser-Induced Fluorescence (LIF) experiments conducted at the Institute of Fluid Mechanics at the University of Rostock. All data included herein is original and was acquired under controlled laboratory conditions. </p> <p>The experiments were conducted for 21 individual configurations of 3 different wave scenarios (description can be found in 'overview_wavescenarios.csv') and 7 seabed models (description can be found in 'overview_seabedmodels.csv'). The folders where the data is stored are named accordingly '[name of seabed model]_[name of wave scenario]'.</p> <p>Horizontal (u [m/s]) and vertical (w [m/s]) velocities were measured simultaneously to the concentration (c [l/l]) of a tracer fluid released from the seabed. The collected data was analyzed and phase averages and phase-resolved covariances were derived and are given for the field of view of each configuration as .npy-files in the respective folder. <br>Time-averaged and horizontally averaged profiles were determined for the concentration and all covariances in dependence on the bottom distance. The profiles are stored as .npy-files in the respective Folders. </p> <p>Mass mixing length (l_c) and Eddy diffusivity (D_t) profiles were derived for each configuration from the measured data as described in the corresponding article. The variables are given in dependence on the bottom distance as .npy-files in the respective folder. Slopes of the vertical mass mixing length profiles and Eddy diffusivity profiles from linear regression are given in 'slopes_turbmodels.csv'. </p> <p>TIME-RESOLVED DATA IS NOT PROVIDED IN THIS DATASET DUE TO EXTENSIVE DATA SIZE but will be shared upon request. Please contact the creators.</p> <p> </p> <p><strong>Description of .npy files in .zip-folders:</strong></p> <p>The time-averaged, horizontally averaged profiles (named '[c/RS/TF/TKE]_[optional: names of covariates]_time_averaged_[name of seabed model]_[name of wave scenario].npy') are given in each folder.<br>All time-averaged data is stored in the following format.</p> <p>import numpy as np</p> <p>data = np.load(filename.npy, allow_pickle=True)<br>#data[0] -> z-dimensions in mm<br>##data[0][z]</p> <p>#data[1] -> respective quantity (c, Reynolds stresses (RS), turbulent fluxes (TF), turbulent kinetic energy (TKE))<br>##data[1][z]</p> <p> </p> <p>The phase-averages (named '[u/w/c]_phase_averaged_[name of seabed model]_[name of wave scenario].npy'), phase-resolved covariances of the fluctuations (named '[RS/TF]_[names of the covariates]_[name of seabed model]_[name of wave scenario].npy', note: RS stands for Reynolds stresses, TF stands for turbulent fluxes), and the turbulent kinetic energy (named 'TKE_[name of seabed model]_[name of wave scenario].npy') are given in each folder.<br>All phase-resolved data is stored in the following format.</p> <p>import numpy as np</p> <p>data = np.load(filename.npy, allow_pickle=True)<br>#data[0] -> x-dimensions in mm<br>##data[0][z, x]</p> <p>#data[1] -> z-dimensions in mm<br>##data[1][z, x]</p> <p>#data[2] -> respective quantity (c, u, w, Reynolds stresses (RS), turbulent fluxes (TF), turbulent kinetic energy (TKE))<br>##data[2][phi_idx, z, x]</p> <p>#(phase-averaging is performed with 100 phase bins -> phi_idx ranges from 0 to 99)</p> <p> </p> <p>Mass mixing length (lc) and eddy diffusivity (Dt) profiles were derived as described in the corresponding article and are given in each folder under '[lc/Dt]_prof_[name of seabed model]_[name of wave scenario].npy' in the following format:<br>data = np.load(filename.npy, allow_pickle=True)<br>#data[0] -> z-dimensions in mm<br>##data[0][z]</p> <p>#data[1] -> respective quantity (l_c in mm, D_t in m^2/s)<br>##data[1][z]</p>
New advance in land controlled-source audio-frenquency magnetotellurics exploration: measurement at a shortened transmitter-receiver offset and three-dimensional inversion
<p><span>Ambient noise significantly affects the quality of land controlled-source audio-frequency magnetotellurics (CSAMT) data. Shortening the transmitter–receiver offset can enhance the raw data signal-to-noise ratios (S/N). However, most of CSAMT explorations still collect field data using a large separation. To enhance the S/N of the raw electric and magnetic field and the corresponding Cagniard apparent resistivity, we propose shortening offset to 2–4 km during CSAMT fieldwork and inverting apparent resistivity rather than only electric field. We tested this approach with three experimental models with varying offsets, simulating 3D responses. Result showed that longer offsets predominantly produce data anomalies in the far-field zone, whereas shorter offsets shift these anomalies toward the transition zone with some in the far-field or near-field zones. Shortened-offset responses exhibit stronger electric and magnetic fields. Synthetic datasets with different noise levels were generated for inversion analysis. The results indicate that shortening the offset, particularly in noisy environments, improves data S/N. Inversion results reveal that a shortened CSAMT transmitter–receiver offset allows for data collection with most anomalies in the transition-field zone, facilitating accurate prediction of the true model in the 3D inversion. In low-noise environments, inversion results from data with a shortened offset are comparable to those with a long offset. However, in high-noise environments, the shortened-offset approach yields more accurate results due to improved data S/N. Field data inversion from Yanqing, China, further confirms the effectiveness of our scheme. The shortened-offset approach achieves higher S/N datasets and inversion results that align with actual geological structures.</span></p> <p> </p>
Dataset of Cellular Network Measurements
<p>This dataset contains 326,157 measurements in cellular networks, collected from August 2021 until Juni 2023 in Germany. The measurement focus on a high density in rural areas and were performed by car, bicycle and by foot. The measurements cover primary the Telefonica/o2 network.</p>
Measurement of solubility product reveals the interplay of oligomerization and self-association for defining condensate formation
<p>This data set includes the raw confocal microscopy images, DLS, and SEC-MALS data used for Chattaraj, Baltaci, et al. <em>Mol. Biol. Cell.</em> 2024. </p>
ScienceDex guides
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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.