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10,553 results for “measurements”
Electron transport measurements in liquid xenon with Xenoscope, a large-scale DARWIN demonstrator
<p>Drift velocity and longitudinal diffusion for the manuscript:</p> <p>Electron transport measurements in liquid xenon with Xenoscope, a large-scale DARWIN demonstrator</p> <p>https://arxiv.org/abs/2303.13963</p> <p> </p>
Observations of trace gases in the lowermost stratosphere and upper troposphere from the SPURT aircraft measurement program
<p><strong>Introduction</strong></p> <p>SPURT (Spurenstofftransport in der Tropopausenregion, trace gas transport in the tropopause region) was an aircraft measurement program funded by the AFO 2000 programme of the German Ministry for Education and Research (BMBF). Eight campaigns (36 flights in total) were conducted between November 2001 and July 2003 to investigate trace gas transport in the extratropical upper troposphere and lowermost stratosphere in all seasons. A wide range of trace gases with different lifetimes and sink/source characteristics were measured in-situ from a Learjet 35A aircraft flying at altitudes up to 13.7 km. The data set is well suited for studies of atmospheric transport, for model validation, and for investigations of seasonal changes in the upper troposphere and lowermost stratosphere as demonstrated in numerous accompanying studies.</p> <p><strong>Dataset content</strong></p> <ol> <li>In-situ measurements of N<sub>2</sub>O, CH<sub>4</sub>, CO, CO<sub>2</sub>, CFC12, H<sub>2</sub>, SF<sub>6</sub>, NO, NO<sub>y</sub>, O<sub>3</sub> and H<sub>2</sub>O along all flight tracks.</li> <li>Position and meteorological quantities recorded by the aircraft along all flight tracks.</li> <li>Meteorological data from ECMWF analysis fields and derived products such as potential vorticity and equivalent latitude interpolated to all flight tracks.</li> <li>Merge files (extension .mrg) of all observations, aircraft positions and other data merged into one single file per flight at 5 sec temporal resolution. Due to different instrument response times or computer clocks, the individual measurements were typically shifted by several seconds relative to each other. These time shifts are corrected for in the merge files.</li> <li>Ten day backward trajectories started every 12 minutes along the flight tracks computed with <em>Lagranto</em> (<a href="https://dx.doi.org/10.5194/gmd-8-2569-2015">doi:10.5194/gmd-8-2569-2015</a>) based on 3-hourly ECMWF IFS analysis/forecast fields.</li> <li>Further information such as flight quicklooks, flight protocols, meteorological reports, etc.</li> </ol> <p>All measurement data are provided in NASA/Ames format (<a href="https://espo.nasa.gov/content/Ames_Format_Specification_v20">https://espo.nasa.gov/content/Ames_Format_Specification_v20</a>), which is a self-explaining ASCII format that can conveniently be read by many software packages, e.g. the nappy library for python.</p> <p><strong>Quick start guide</strong></p> <ol> <li>Download and unpack the gzip compressed tar file (unpacking generates the two directories <em>images </em>and <em>data</em>)</li> <li>Change to the directory <em>data </em>and open the file index.html with a web browser. This will open a web page providing an overview of the eight campaigns and associated data.</li> <li>For most purposes it will be sufficient to work with the merge files: Change to the <em>data</em> directory and list all merge files by typing "ls */*/*.mrg" (Linux) or "dir *\*\*.mrg" (Windows).</li> </ol> <p> </p> <p><strong>References:</strong></p> <p>The reference journal article for the SPURT project is</p> <p><em>Engel, A., Bönisch, H., Brunner, D., Fischer, H., Franke, H., Günther, G., Gurk, C., Hegglin, M., Hoor, P., Königstedt, R., Krebsbach, M., Maser, R., Parchatka, U., Peter, T., Schell, D., Schiller, C., Schmidt, U., Spelten, N., Szabo, T., Weers, U., Wernli, H., Wetter, T., and Wirth, V.: Highly resolved observations of trace gases in the lowermost stratosphere and upper troposphere from the Spurt project: an overview, Atmos. Chem. Phys., 6, 283–301, https://doi.org/10.5194/acp-6-283-2006, 2006. </em></p> <p>Many more scientific publications emerged from the project (see reference list and object identifiers).</p>
Data for "Challenges of variational quantum optimization with measurement shot noise"
<p>In this repository, we save all the data used in the article <em>"Challenges of variational quantum optimization with measurement shot noise"</em> <a href="https://doi.org/10.1103/PhysRevA.109.032408" target="_blank" rel="noopener">Phys. Rev. A 109, 032408</a>.</p> <p>For reproducing the same figure as in the article, we provide an interactive notebook 'paper-figure.ipynb' and its HTML version. </p> <p><strong>Data</strong></p> <p>Unzip with</p> <pre><code>tar -xvf data.tar.gz</code></pre> <p>You will find ten data files:</p> <ul> <li> `dataferro.csv` Ferromagnetic model both for VQE and QAOA with random parameters initialization;</li> <li>`datanoise.csv`Ferromagnetic model for VQE with random parameters initialization and circuit noise;</li> <li>`data_spinglass.csv` Disordered model both for VQE and QAOA with random parameters initialization;</li> <li>`data_linopt.csv` Ferromagnetic model for QAOA with annealing-like parameters initialization;</li> <li>`data_lininit_rand.csv` Disordered model for QAOA with annealing-like parameters initialization;</li> <li>`data_spinglass_iter1.csv` Disordered model for QAOA, no optimization and random parameters initialization;</li> <li>`data_opt16shots.csv` Ferromagnetic model for QAOA, no optimization and annealing-like parameters initialization;</li> <li>`datagrad.csv` Ferromagnetic model for VQE with gradient-based optimization;</li> <li>`datagrad_eps05.csv` Ferromagnetic model for QAOA with gradient-based optimization;</li> <li>`grad_epsilon.npz` Ferromagnetic model for QAOA with gradient-based optimization, varying \(\varepsilon\) in the finite differences formula.</li> </ul> <p>Most of the data are CSV sheets, where you can find the aggregate results of the simulations described in our article. </p> <p><strong>Abstract</strong></p> <p>Quantum enhanced optimization of classical cost functions is a central theme of quantum computing due to its high potential value in science and technology.<br>The variational quantum eigensolver (VQE) and the quantum approximate optimization algorithm (QAOA) are popular variational approaches that are considered the most viable solutions in the noisy-intermediate scale quantum (NISQ) era.<br>Here, we study the scaling of the quantum resources, defined as the required number of circuit repetitions, to reach a fixed success probability as the problem size increases, focusing on the role played by measurement shot noise, which is unavoidable in realistic implementations.<br>Simple and reproducible problem instances are addressed, namely, the ferromagnetic and disordered Ising chains. <br>Our results show that: </p> <ol> <li>VQE with the standard heuristic ansatz scales comparably to direct brute-force search when energy-based optimizers are employed. The performance improves at most quadratically using a gradient-based optimizer;</li> <li>When the parameters are optimized from random guesses, also the scaling of QAOA implies problematically long absolute runtimes for large problem sizes;</li> <li>QAOA becomes practical when supplemented with a physically-inspired initialization of the parameters.</li> </ol> <p>Our results suggest that hybrid quantum-classical algorithms should possibly avoid a brute force classical outer loop, but focus on smart parameters initialization.</p>
Dataset for: Improving the accuracy of δ18O and δ17O values of O2 measured by continuous-flow isotope-ratio mass spectrometry with a multi-point isotope-ratio calibration
<p>Dataset containing raw and treated isotope-ratio mass spectrometry and laser absorption spectroscopy data, accompanying the manuscript "Improving the accuracy of δ18O and δ17O values of O2 measured by continuous-flow isotope-ratio mass spectrometry with a multi-point isotope-ratio calibration". This dataset also contains O2 concentration and partial pressure data used for figures in the associated manuscript.</p>
Datasets supporting the publication "Technical Note: in-situ measurements and modelling of the oxidation kinetics in films of a cooking aerosol proxy using a Quartz Crystal Microbalance with Dissipation monitoring (QCM-D)" by Milsom et al.
<p>Supporting experimental and modelling data for the manuscript entitled "Technical Note: Modelling and in-situ measurements of the oxidation kinetics in films of a cooking aerosol proxy using a Quartz Crystal Microbalance with Dissipation monitoring (QCM-D)" by Adam Milsom et al. 2023. </p> <p>Includes raw QCM-D data with the numbers at the beginning of the files corresponding to the experiment numbers in the manuscript. </p> <p>Normalised Raman peak area data for modelling and model ensemble outputs, including uptake coefficients. </p>
Numerical simulations and experimental measurements of the ULB semi-industrial furnace for the development of a Digital Twin
<p>This dataset contains the numerical and experimental data used to build the Digital Twin in Aversano et al. (https://doi.org/10.1016/j.proci.2020.06.045) and the adaptive Digital Twin in Procacci et al. (https://doi.org/10.1016/j.proci.2022.07.029).</p> <p>The directory "Numerical_data" includes 45 text files containing the data coming from the CFD simulations of the ULB furnace. <br> In each file, for each computational cell the features reported are: <br> - the cell's position in x, y, z coordinates and in meters.<br> - the cell's temperature in K. <br> - the cell's species mass fraction of NO (mf-pollut-pollutant-0), CO, OH, H2, H2O, CO2, O2, CH4.<br> The details of the setup of the numerical simulations are reported in Aversano et al.</p> <p>The numerical simulations have been computed for different values of the equivalence ratio (phi), blend of H2-CH4 (H2) and <br> inlet diameter (D).<br> The simulations for different inlet diameter where computed using different meshes, with slightly different numbers of cells.<br> In the file 'cases_parameters.csv', the value of the parameters is reported for of each simulation. There is a <br> discrepancy between the naming of the simulations in Aversano et al. and the one used in naming the files, so both are reported.</p> <p>The experimental measurements used to validate the numerical simulations can be found in the directory "Experimental_data". Each<br> file contains the value of the measured temperature along with the position in x and z in meters (y being 0). The temperature is<br> in K. The experimental uncertainty is estimated at 10 K.</p> <p>The file 'grid.vtu' contains the computational grid used to solve the CFD simulations. It can be opened using VTK-based software <br> such as Paraview or Pyvista.</p> <p>Changelog:</p> <p>- In version V1, some simulations were corrupted during data export.<br> - Added the grid file in V3</p>
Phenotypic differences between interfertile Chlamydomonas species- focus-filtered timelapse data and measurements
<p>This repository contains focus-filtered timelapse microscopy data of two interfertile <i>Chlamydomonas</i> algal species. The protocol to generate this data is described in the associated publication, <a href="https://doi.org/10.57844/arcadia-35f0-3e16">"Phenotypic differences between interfertile <i>Chlamydomonas</i> species"</a>, and summarized here. Cells were collected from agar plates and suspended in water, then left to sit overnight to encourage gamete formation. During this time, non-motile cells settled, allowing for the enrichment of motile cells in the supernatant. These enriched cells were then loaded onto agar microchambers (100 micron diameter and 40 micron depth) for imaging. We collected videos on a Nikon Ti2-E microscope equipped with a Photometrics Kinetix digital scMos camera. We performed differential interference contrast (DIC) imaging using a Plan Apo 10× 0.45 Air objective. We collected videos with a 5.1 ms exposure with acquisition every 50 ms for three minutes. We placed a red light filter [IR longpass, 610 nm (ThorLabs)] in the light path to maintain swimming behavior of cells. The procedure was standardized and repeated four times to ensure consistency. Focus-filtered timelapse data of <i>C. reinhardtii </i>or C<i>. smithii </i>cells in agar microchamber wells are shared here. The code for focus-filtering and collection of measurements can be found in the <a href="https://github.com/Arcadia-Science/chlamy-comparison">associated Github repository</a>.</p><h4>Reference</h4><p><a href="https://doi.org/10.57844/arcadia-35f0-3e16">Essock-Burns T, Garcia III G, MacQuarrie CD, Mets DG, York R. (2023). Phenotypic differences between interfertile <i>Chlamydomonas </i>species</a></p><h4>Notes</h4><p>In addition to the raw data, the dataset includes sample images that are intermediates in the image processing pipeline, as well as 2D morphology measurements of the cells in a csv file.</p><p>"Cr" indicates <i>Chlamydomonas reinhardtii</i></p><p>"Cs" indicates <i>Chlamydomonas smithii</i></p><p>Frame rate: 20 frames per second (fps)</p><p>Pixel size: 0.6398 microns/pixel</p>
Data from air, englacial and permafrost temperature measurements on Mt. Ortles (Eastern European Alps)
<p>The *.csv files report the temperature data recorded between 2010 and 2016 and presented in the paper “Modern air, englacial and permafrost temperatures at high altitude on Mt. Ortles, (3905 m a.s.l.) in the Eastern European Alps” (Carturan et al., 2023, submitted). The data were used to display the time series reported in the paper, which details variable names, data quality flags, maintenance logs of field operations, and characteristics of measurement sites.</p> <p>The data files contain measurements of air temperature, englacial temperature, soil surface temperature and rockwall temperature.</p> <p>The file named ‘Ortles_Temperature_Metadata.pdf’ contains information regarding variable names, structure of data files, quality codes, geolocation, and topographic and geomorphological characteristics of sites instrumented for temperature measurements.</p> <p>Reference:</p> <p>Carturan, L., De Blasi, F., Dinale, R., Dragà, G., Gabrielli, P., Mair, V., Seppi, R., Tonidandel, D., Zanoner, T., Zendrini, T. L., and Dalla Fontana, G.: Modern air, englacial and permafrost temperatures at high altitude on Mt. Ortles, (3905 m a.s.l.) in the Eastern European Alps, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-164, in review, 2023.</p>
Datasets from the paper "Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community"
<p>Datasets from the paper "Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community", presented at the 24th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL).</p> <p>The dataset consists in 2 files:</p> <ul> <li>tweets.csv: This file contains the ids of the tweets and the user that published the tweet.</li> <li>df_users_seeds.csv: This file contains a table were the first field is the user id; the other columns indicate the seed number and if the user follows that seed (1) or not (0)</li> </ul>
Phantom measurement data for 'Configuration-based electrical properties tomography', Iyyakkunnel et al. (2021)
<p>This dataset contains the phantom bSSFP measurement data used in the published article Iyyakkunnel et al., 'Configuration-based electrical properties tomography', Magn Reson Med. 2021;85:1855–1864 (doi: 10.1002/mrm.28542). The acquisitions were made with a 3 T MRI system (Magnetom Prisma; Siemens Healthcare, Erlangen, Germany) using a dual-tuned 1H/23Na quadrature head coil for transmission and reception (Rapid Biomedical, Rimpar, Germany).<br> The data includes the magnitude and phase measurements for eight phase-cycled scans (in dicom (.dcm) format). The RF phase increment for the phase cycled scans corresponds to 0°, 45°, 90°, 135°, 180°, 225°, 270° and 315°. For further measurement details, please refer to the mentioned original article.</p>
dynamic water contact angle measurements of metallic glass coatings
<p>dynamic water contact angle measurements of Zr-Cu-Ag metallic glass coatings. The file named PBT is the non-coated sample. The other three samples were metallic glass coatings.</p>
Dataset for "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos"
<p>Raw datasets used in the paper "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos". Use with the GitHub repository to reproduce results and figures from the referenced paper (https://github.com/clema12/CliffordBernoulli)</p>
Phantom measurement data for 'Complex B1+ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography', Iyyakkunnel et al. (2022)
<p>This dataset contains the phantom measurement data used in the published article Iyyakkunnel et al., 'Complex B1+ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography', Magn Reson Med. 2022;87:1250–1260 (doi: 10.1002/mrm.29020). The acquisitions were made with a 3 T MRI system (Magnetom Prisma; Siemens Healthcare, Erlangen, Germany) using the body coil for transmission and the a 20-channel head and neck coil for reception. Phase images from multichannel coil data were reconstructed using the manufacturer’s “adaptive coil combine” method. Magnitude measurements for B1 reconstruction using actucal flip angle imaging (AFI) is also included. Phantom scans were also performed with a 1H/23Na transmit/receive birdcage coil (RAPID Biomedical, Rimpar, Germany) for the Supporting Information Figure S1. The data includes the magnitude and phase measurements for the suggested Carr Purcell spin echo sequence with 10 echoes (in dicom (.dcm) format). For further measurement details, please refer to the mentioned original article.</p>
Wind spacecraft floating potential measurements
<p><strong>Quick Summary:</strong></p> <p>The ASCII files herein are a dataset of spacecraft electric potential for the <em>Wind</em> spacecraft between January 1, 2005 and January 1, 2022. The data is thoroughly described in the publication "Spacecraft floating potential measurements for the <em>Wind</em> spacecraft," <em>The Astrophysical Journal Supplement Series</em>.</p> <p><strong><em>Wind</em> Spacecraft:</strong></p> <p>The <em>Wind</em> spacecraft (<a href="https://wind.nasa.gov">https://wind.nasa.gov </a>and <a href="https://doi.org/10.1029/2020RG000714">https://doi.org/10.1029/2020RG000714</a>) was launched on November 1, 1994 and currently is in a halo orbit about the first Sun-Earth Lagrange point. It holds a suite of instruments from gamma ray detectors to quasi-static magnetic field instruments, Bo. The instruments used in this study and these datasets are the fluxgate magnetometer (MFI), the radio receivers (WAVES), ion Faraday cups (SWE), and the electron and ion electrostatic analyzers (3DP). The MFI measures 3-vector <strong>B</strong><sub>o</sub> at ~11 samples per second (sps); the SWE measures reduced velocity distribution functions (VDFs) of the thermal proton and alpha-particle populations from which velocity moments are derived and used herein; WAVES observes electromagnetic radiation from ~4 kHz to >12 MHz which provides an observation of the upper hybrid line (also called the plasma line) used to define the total electron density; and 3DP observes full 4π steradian VDFs of electrons and ions from a few eV to ~30 keV which provide both ion velocity moments and the electron VDFs modeled herein.</p> <p><strong>Brief Method Description:</strong></p> <p>The spacecraft potential, <span class="math-tex">\(\phi_{sc}\)</span>, was found using four methods. Three of these methods return a range of values while the fourth returns a single value. The methods rely on examining the shape of the electron energy distribution function (EDF), f(E) versus energy, E, for three different pitch-angles (parallel, perpendicular, and anti-parallel with respect to the quasi-static magnetic field, <strong>B</strong><sub>o</sub>). The instrument has a physical lower energy threshold, E<sub>min</sub>, below which no data are measured. We impose an upper energy threshold, E<sub>max</sub>, allowed when searching for <span class="math-tex">\(\phi_{sc}\)</span> based on empirical evidence. The methods are as follows:</p> <p>Method 1: find the range of energies where d<sup>2</sup>f/dE<sup>2</sup> > 0, also referred to as the positive curvature region;<br> Method 2: find the range of energies where df/dE transitions from negative to positive, i.e., the local minimum point of f(E);<br> Method 3: find the range of energies bounding the minimum and maximum values of d<sup>2</sup>f/dE<sup>2</sup>, i.e., region of minimum to maximum curvature; and<br> Method 4: find the local minimum between E<sub>min</sub> and E<sub>max</sub></p> <p>There are some additional constraints imposed in the software, available at <a href="https://github.com/lynnbwilsoniii/wind_3dp_pros">https://github.com/lynnbwilsoniii/wind_3dp_pros</a> (<a href="https://doi.org/10.5281/zenodo.6141586">https://doi.org/10.5281/zenodo.6141586</a>). We found four basic shapes for the EDFs (see paper for example figures), two (i.e., Types A and B) of which satisfy E<sub>min</sub> < <span class="math-tex">\(\phi_{sc}\)</span> and thus are good. The other two shapes (i.e., Types C1 and C2) satisfy E<sub>min</sub> > <span class="math-tex">\(\phi_{sc}\)</span>, and thus we cannot determine <span class="math-tex">\(\phi_{sc}\)</span> from the EDF. We can only know that it has an upper bound of E<sub>min</sub>. All Type A EDFs are given a quality flag (QF) of 4 (i.e., the best), all Type Bs are given a QF of 2 (i.e., still okay and useable), and all Type Cs are given a QF of 0 (i.e., do not use these).</p> <p><strong>ASCII File Description:</strong></p> <p>Each ASCII file contains one year of data. There is summary information contained in the header of each file. The first two columns are the start and end times (UTC) of the EDF (format 'YYYY-MM-DD/hh:mm:ss.xxx'). After the times, Methods 1-3 have six columns and Method 4 has three columns. The first(second) three columns for Methods 1-3 correspond to the lower(upper) bound on the range of <span class="math-tex">\(\phi_{sc}\)</span> [eV] solutions. Method 4 only has one set of three-column solutions. Each three-column set corresponds to the parallel, perpendicular, and anti-parallel pitch-angle solutions. All of these in total comprise 21 columns. The <span class="math-tex">\(\phi_{sc}\)</span> solutions are followed by a column for E<sub>min</sub> [eV] and E<sub>max</sub> [eV]. The last two columns are the EDF label or type (i.e., A, B, C1, or C2) and the quality flag (i.e., 4, 2, or 0).</p> <p>Note that NaNs have been replaced with -10<sup>30</sup> fill values</p>
The COSMOS2020 Galaxy Stellar Mass Function -- Key Measurements
<p>Here we describe the release of the measurements of the galaxy Stellar Mass Function and quiescent mass fractions based on the COSMOS2020 Farmer Catalogue and LePhare estimates of redshifts, masses, and rest-frame colours as described in Weaver et al. 2023 (ApJS, in press).</p> <p>Measurements can be found in "SMF_Farmer_Weaver+23.tar.gz"<br> Markov chains are contained in the remaining '.dat.gz' files</p> <p>When using these data products please cite both this SMF paper (Weaver et al. 2023) and the COSMOS2020 Catalogue (Weaver et al. 2022). Links to ADS export citations:</p> <p> SMF | https://ui.adsabs.harvard.edu/abs/2022arXiv221202512W<br> COSMOS2020 | https://ui.adsabs.harvard.edu/abs/2022ApJS..258...11W</p> <p>Please reach out if you have any questions or concerns.</p>
DMS measurements dataset for manuscript "Classification of Volatile Organic Compounds by Differential Mobility Spectrometry Based on Continuity of Alpha Curves"
<p>Differential mobility spectrometry dispersion plots collected for the manuscrit "Classification of Volatile Organic Compounds by Differential Mobility Spectrometry Based on Continuity of Alpha Curves". The measurement files are located in the folders that represent certain week and day of measurement. The folders containing measurements are named with the following pattern: [chemical abbreviation]_[dilution rate]. For example "2PEtOH_1o10k" means that the folder contains measurement of 2-phenylethanol diluted with propylene glycol in volumetric proportion 1/10 000. Another example is "nBuOH_1o100" - n-Butanol diluted with propylene glycol in volumetric proportion 1/100. Please find the abbreviations in the article referred.</p> <p>For the first five weeks only 1/100 dilutions were measured. The last two weeks (weeks 6 and 7) 1/10 000 dilutions were measured. However, Carvone 1/100 was measured again on week 6 due to suspicion of faulty measurements during the previous weeks. The faulty measurements were not confirmed, and thus there 25 more samples of Carvone with dilution rate 1/100.</p>
INP Teflon filter measurements and OPC data from the WesCon campaign
<p>Ice Nucleating Particle (INP) measurements taken during the Met Office's Wessex Convection Experiment (WesCon) in Jun-Aug 2023. The samples were collected on Sartorius 47 mm 1.2 um PTFE filters onboard the FAAM aircraft and at the Netheravon field site (51.24 deg N, 1.78 deg W). Aircraft filters are in the "FAAM Subtracted Samples" folder and start with a "C". Ground measurements are in the "Digitel Subtracted Samples" folder and start with "S". Information about each measurement can be found in the respective info csv file. Handling blanks were taken throughout the campaign and the data has been background subtracted.</p> <p> </p> <p>The filters were analysed through the drop-on method, which is used in Price et al., 2014 and Raif et al., 2024 (Preprint).</p>
Video example for copter current measurements over Elbe river.
<p>Video example for copter current measurements over Elbe river, using the code available in the following repository:</p> <p><a href="https://github.com/RubenCarrascoAlvarez/CopterCurrents">https://github.com/RubenCarrascoAlvarez/CopterCurrents</a></p> <p>The methodology is described in the following publication:</p> <p>M. Streßer, R. Carrasco and J. Horstmann, "Video-Based Estimation of Surface Currents Using a Low-Cost Quadcopter," in IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 11, pp. 2027-2031, Nov. 2017. doi: 10.1109/LGRS.2017.2749120 URL: <a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8049342&isnumber=8082817">http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8049342&isnumber=8082817</a></p> <p> </p> <p> </p>
Dissolved N2O measurements from the Connecticut River Watershed
This dataset supports the paper accepted to Limnology and Oceanography: An intense precipitation event causes a temperate forested drainage network to shift from N2O source to sink Authored by Kelly S. Aho, Jennifer H. Fair, Jacob D. Hosen, Ethan D. Kyzivat, Laura A. Logozzo, Lisa C. Weber, Bryan Yoon, Jay P. Zarnetske, and Peter A. Raymond
Tree-ring width measurements and isotope data for riparian Populus species, Santa Clara River, 2019
This data set comprises tree-ring data collected from 114 cottonwood trees (Populus trichocarpa and Populus fremontii) within the floodplain of the Santa Clara River, CA. Tree-ring data include annual ring width measurements for all rings of each individual as well as semi-annual (earlywood and latewood) measurements of stable carbon and oxygen isotopes for pure alpha cellulose extracted from annual growth rings corresponding to calendar years 2010-2019 for a subset of 48 individuals. This data set is completed. Carbon and oxygen isotope ratios are reported using “delta” notation (i.e. δ13C and δ18O) calculated by the equation: δ13C (or δ18O) = (Rsample/Rstandard - 1) x1000 where R is the molar ratio of 13C/12C (or 18O/16O), with Rsample being that of tree ring cellulose and Rstandard that of Vienna Pee Dee Belemite (VPDB) for δ13C and Vienna Standard Mean Ocean Water (VSMOW) for δ18O. These data were used for the following publication: Williams, J., J.C. Stella, S.L. Voelker, A.M. Lambert, L. Pelletier, J.E. Drake, J.M. Friedman, D.A. Roberts, M.B. Singer. (2022). Local groundwater decline exacerbates response of dryland riparian woodlands to climatic drought. Global Change Biology.
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.