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402 results for “ABSOLUTE”
Testing absolute plate reference frames and the implications for the generation of geodynamic mantle heterogeneity structure
<div>Description of Resources - Shephard et al. (2012)</div> <div> </div> <div>This file provides a detailed description of all of the files that make up the data collection associated with the publication: Shephard, G. E., Bunge, H. P., Schuberth, B. S., Müller, R. D., Talsma, A. S., Moder, C., & Landgrebe, T. C. W. (2012). Testing absolute plate reference frames and the implications for the generation of geodynamic mantle heterogeneity structure. Earth and Planetary Science Letters, 317, 204-217. doi: <a href="https://doi.org/10.1016/j.epsl.2011.11.027" target="_blank" rel="noopener">10.1016/j.epsl.2011.11.027</a></div> <div> </div> <div>Note: For information on file formats and what programs to use to interact with various file formats, see "File Formats and Recommended Programs”.</div> <div> </div> <div>This data collection includes both the rotations and topologically closed polygons* for each of the 5 absolute reference frames that were tested in the publication. They are to be loaded in GPlates (<a href="http://www.gplates.org" target="_blank" rel="noopener">http://www.gplates.org</a>).</div> <div> </div> <div>*Topologically closed plate polygons are constructed from the intersection of ridges, transforms, subduction zones and other plate boundary geometries. These 'resolved topologies' are valid at 1 Myr intervals. The plate boundary geometries and plate polygons have been assigned plate reconstruction IDs to allow them to be reconstructed using the supplied rotation files. </div> <div> </div> <div>The files associated with this data collection include:</div> <div>• <strong>Hybrid hotspot model (Moving and Fixed hotspots) (HHS)</strong></div> <div>* Caltech_Global_20110311HHS.gpml (37 MB) - topologically closed plate polygons and plate boundary geometries</div> <div>* Caltech_Global_20110412HHS.rot (287 KB)- global rotation model</div> <div> </div> <div>• <strong>Fixed hotspot model (FHS)</strong></div> <div>* Caltech_Global_20110311FHS.gpml (36.8 MB) - topologically closed plate polygons and plate boundary geometries</div> <div>* Caltech_Global_20110412FHS.rot (291 KB) - global rotation model</div> <div> </div> <div>•<strong> Hybrid hotspot and palaeomagnetic model (PMG)</strong></div> <div>* Caltech_Global_20110311PMG.gpml (35.9 MB) - topologically closed plate polygons and plate boundary geometries</div> <div>* Caltech_Global_20110412PMG.rot (287 KB) - global rotation model</div> <div> </div> <div>• <strong>Subduction reference frame model (SUB)</strong></div> <div>* Caltech_Global_20110311SUB.gpml (36 MB) - topologically closed plate polygons and plate boundary geometries</div> <div>* Caltech_Global_20110412SUB.rot (287 KB) - global rotation model</div> <div> </div> <div>• <strong>Hybrid hotspot and TPW-corrected palaeomagnetic model (TPW)</strong></div> <div>* Caltech_Global_20110311TPW.gpml (36.8 MB) - topologically closed plate polygons and plate boundary geometries</div> <div>* Caltech_Global_20110412TPW.rot (287 KB)- global rotation model</div> <div> </div> <div>Project files (.gproj) are included for each .gpml/.rot pair.</div> <div> </div> <div>This article has additional supplementary data available with the online publication.</div> <div> </div> <div> </div> <div>Additional notes:</div> <div>*.rot contains the rotations for all plates and topological polygons.</div> <div>Each model is specific according to the African Plate (Plate ID 701) rotations. The rotations for all other plates are the same across each of the five models with the exception of cross-overs involving Pacific/Panthalassa plates for times earlier than 83.5Ma; these must be absolute reference frame specific and were re-calculated for each model. Programs used to calculate the new finite rotations include "adder" and "seaflow" </div> <div> </div> <div>*.gpml and .shp files contain continuously closing plate polygons i.e. from plate boundaries, from 140 Ma to present-day in 1 million year increments. </div> <div>These files differ slightly from those used in the paper, but are the most up-to-date version (as at May 2011) and are based on an updated model, Seton et al. (2012).</div> <div>They are specific to each of the five absolute reference frames. </div> <div> </div> <div>Note on velocity calculations in GPlates:</div> <div>GPlates calculates the velocity within each plate based on the stage rotation for that time period and averages for that respective period. For this reason, the velocities of a plate do not change incrementally within the time period and then abruptly change according to the next time period/stage rotation. </div> <div>This is also why there appears to be a "jump" in velocity magnitude and direction between 140 and 139 Ma.</div>
FRUC multiple sensor forest dataset including absolute, map-referenced localization
<p><strong>FRUC Datasets (Forest environment dataset)</strong></p> <p>This dataset was collected as part of the work conducted by the Forestry Robotics @ University of Coimbra team (<a href="https://www.youtube.com/@forestryroboticsuc">https://www.youtube.com/@forestryroboticsuc</a>; part of the Institute of Systems and Robotics, <a href="https://www.isr.uc.pt/">https://www.isr.uc.pt/</a>) within the scope of the Safety, Exploration and Maintenance of Forests with Ecological Robotics (SEMFIRE, ref. CENTRO-01-0247-FEDER-03269; <a href="http://semfire.ingeniarius.pt/">http://semfire.ingeniarius.pt/</a>) and the Semi-Autonomous Robotic System for Forest Cleaning and Fire Prevention (SafeForest, CENTRO-01-0247-FEDER-045931) research projects. Its purpose is to allow researchers in forestry robotics to have an in-depth analysis of a florests environment; obtain an a priori map for robot operations (e.g. path plannning, landscaping, etc…) and to train segmentation algorithms;</p> <p> </p> <p>The dataset in question includes data from multiple sensors and absolute, map-referenced localization which can be used to register the sensor data to a fixed coordinate system. It was collected at the <a href="https://www.google.com/maps/place/Mata+Nacional+do+Choupal/@40.2208522,-8.4429989,842m/data=!3m1!1e3!4m6!3m5!1s0xd22f91d7cec3b95:0xb02aedc4d8380d48!8m2!3d40.2222536!4d-8.4438944!16s%2Fm%2F026jw89?hl=pt-PT">Choupal National Woods, Coimbra, Portugal</a> (40<sup>◦</sup>13′13.3′′N;8<sup>◦</sup>26′38.1′′W). The dataset was collected during a partly clouded day in a forest environment by performing <strong>two circular loop</strong> laps amounting to a total distance of approximately <strong>800m,</strong> with a total duration of <strong>14 minutes and 22 seconds</strong>. The scenario is rich in features relevant to forestry robotics applications, including trees, bushes, tree trunks, etc. To better handle the multimodal nature of the acquired data, the dataset is bundled into <a href="http://wiki.ros.org/rosbag">rosbags</a>, a file format used by the <a href="http://wiki.ros.org/">ROS (Robot Operating System)</a> to record and play back data.</p> <p><strong>More specifically, the datasets include:</strong></p> <ul> <li><strong>RGB Images</strong> from an Intel Realsense D435i</li> <li>Aligned <strong>Depth Images</strong> from an Intel Realsense D435i</li> <li>Left and Right Mono Images from a Mynt Eye s1030</li> <li><strong>Point Clouds</strong> from a Livox Mid-70 LiDAR</li> <li>Unfiltered <strong>acceleration, gyroscopic and magnetic</strong> data from a Xsens MTi IMU</li> <li>Unfiltered <strong>acceleration, gyroscopic </strong>data from an Intel Realsense D435i</li> <li><strong>GNSS Fix data</strong> from a Xiaomi Mi Mix 3 device</li> </ul> <p><strong>Description of files:</strong></p> <ol> <li>The dataset is contain in <strong>choupal.bag</strong>.</li> <li>The <strong>rosbag_info.txt </strong>contains the information of each rosbag;</li> <li>The <strong>sensor_box.urdf </strong>contains all the required transforms;</li> <li>The <strong>sensor_box.stl</strong> contains the 3D model of the apparatus;</li> <li>The <strong>choupal.launch </strong>publishes the sensor transforms and plays the dataset;</li> <li>The <strong>localization.bag</strong> contains the final graph of poses extracted with Cartographer republished as nav_msgs/odom at 4.98Hz.</li> <li>The <strong>localization_15Hz.bag</strong> contains a map-referenced localization extracted with Cartographer at a higher frequency, but the poses are interpolated. If you don't require a high frame rate, please use the <strong>localization.bag</strong> instead.</li> </ol> <p><strong>Usage:</strong></p> <ol> <li>Extract the <em>fruc_dataset_choupal_launch.zip </em>into a catkin workspace</li> <li>Install the necessary dependencies of the package: <ol> <li> <pre><code class="language-bash">cd [/path/to/catkin_ws]</code></pre> <p> </p> </li> <li> <pre><code class="language-bash">rosdep install --from-paths src --ignore-src -y -r</code></pre> </li> </ol> </li> <li>Copy the <strong>rosbags </strong>into the <em>fruc_dataset_choupal_launch/rosbag/</em></li> <li>Edit the <em>fruc_dataset_choupal_launch/launch/choupal.launch </em>file to your use case: <ol> <li>Change the <em>file_path </em>argument if the rosbags are not in the default location;</li> <li>Set <em>localization_file</em> to <em> </em>the path of the desired localization bag, leave it empty to run the dataset without localization.</li> </ol> </li> <li>Compile the package and source the environment: <ol> <li> <pre><code class="language-bash">catkin_make [/your_catkin_workspace/]</code></pre> <p> </p> </li> <li> <pre><code class="language-bash">source [/your_catkin_workspace/devel/setup.bash]</code></pre> <p> </p> </li> </ol> </li> <li>Launch the files: <pre><code class="language-bash">roslaunch fruc_dataset_choupal_launch choupal.launch</code></pre> </li> </ol>
Absolute environmental sustainability assessment of renewable dimethyl ether fuelled heavy-duty trucks
<p>Dataset associated with the publication "Absolute environmental sustainability assessment of renewable dimethyl ether fuelled heavy-duty trucks" by Margarita A. Charalambous, Victor Tulus, Morten W. Ryberg, Javier Pérez-Ramírez, and Gonzalo Guillén-Gosálbez, available at <a href="https://doi.org/10.1039/D2SE01409B">https://doi.org/10.1039/D2SE01409B</a>. The dataset includes all the LCA inventories and numeric data required to plot all the figures embedded in the main manuscript.</p> <p>The dataset includes 4 Excel files. The content of each dataset is here elucidated:</p> <ul> <li><strong>LCA_data.xlsx:</strong> Inventory datasets used for life cycle assessment. Includes the inventory for the production of methanol from CO<sub>2</sub> and H<sub>2</sub> sources investigated in this work, carbon dioxide from direct air capture (DAC), and point source coal power plant and natural gas power plant, as well as, the production of hydrogen from biomass with CCS and polymer electrolyte water electrolysis powered with Wind power and BECCS. DME production from each methanol activity, and lastly, truck transport activities used in the study are also included. </li> <li><strong>LCA_relative_impact.xlsx</strong>: numerical values associated with the total share of safe operating space for all the assessed control variables of the seven planetary boundaries quantified in the study, for all the considered scenarios. These values represent the data used to create Figure 2 of the main manuscript.</li> <li><strong>LCA_breakdown.xlsx</strong>: numerical values associated with the breakdown of the environmental impacts for the studied scenarios, for all the control variables of the planetary boundaries. Each sheet includes data for one control variable. These values represent the data used to create Figure 3 in the main manuscript and Figures S4 and S5.</li> <li><strong>LCA_costs.xlsx: </strong>numerical values associated with the cost breakdown for each considered scenario. These values represent the data used to create Figure 4 of the main manuscript. </li> </ul>
Aldeghi et al. Files for absolute free energy calculations in gromacs.
<p>These are the files for performing absolute free energy calculations using gromacs as reported in "Accurate calculation of the absolute free energy of binding for drug molecules. Aldeghi M, Heifetz A, Bodkin MJ, Knapp S, Biggin PC.<br /> Chem Sci. 2016 Jan 14;7(1):207-218. DOI: 10.1039/C5SC02678D"</p> <p> </p> <p>The files should prove useful for anyone wishing to try out their own methodology for comparison purposes or even just to repeat the work on a known dataset. The data is presented as a zip archive that should unpack into a directory called "Aldeghi-et-al-chemical-science-2016". There are four sub-directories in there and a README.txt file which should explain the details of the data.</p> <p> </p>
MTAB3D: a 3-D velocity model for absolute hypocenter location in southern Iberia and westernmost Mediterranean.
<p>The Trans-Alboran Shear Zone is one of the most seismically active areas in the westernmost Mediterranean, where a wide variety of tectonic domains have developed within the context of oblique convergence between Eurasia and Africa plates. In this region, earthquakes occur close to seismogenic structures, some of them large enough to cause damaging events. In addition, the diversity of tectonic domains implies a lateral variation of seismic wave propagation, which could affect the hypocenter reliability if not addressed during the location procedure. In this work, we present mTAB3D, a new 3D P-wave velocity model that accounts for the lateral heterogeneity of our study area. The new catalogs computed with our model help us to infer possible genetic relations between seismicity and source faults within our study area and can be used as an additional tool when looking into prior seismic sequences.</p>
Damage Absolute Probability map
<p>Damage Absolute Probability map is a layer in support to Area of Interest (AOI) definition for an earthquake event. It provides the spatial distribution, in the examined area, of the absolute values of probability of damage derived considering the most severe damage classes provided by loss assessment data</p>
Supporting Information for "New 3D velocity model (mTAB3D) for absolute hypocenter location in southern Iberia and the westernmost Mediterranean"
<p>These files comprise supplementary information for the paper entitled "New 3D velocity model (mTAB3D) for absolute hypocenter location in southern Iberia and the westernmost Mediterranean" (Sánchez-Roldán et al., 2024a)</p> <p>These results were obtained after performing a relocation using the 3D P-wave velocity model mTAB3D (Sánchez-Roldán et al. 2024b).</p> <p>In "Files.zip", we provide the eight files with the absolute locations and the uncertainty parameters (extracted from the 68% confidence ellipse of the PDF’s) obtained after performing the relocation using mIGN1D and mTAB3D. The absolute location files follow this format:</p> <p>origin_time(YYYY-mm-ddTHH:MM:SS) longitude(º) latitude(º) depth(km) magnitude(mbLg)</p> <p>• origin_time: Hypocenter’s origin time after the relocation.</p> <p>• longitude: Hypocenter’s longitude in decimal degrees after the relocation.</p> <p>• latitude: Hypocenter’s latitude in decimal degrees after the relocation.</p> <p>• depth: Hypocenter’s depth in kilometers.</p> <p>• magnitude: Hypocenter’s magnitude (mbLg) computed by the Spanish Seismic Network.</p> <p>The files with the uncertainty values:</p> <p>horizontal_uncertainty(km) vertical_uncertainty(km) rms(s) no_arrivals</p> <p>• horizontal_uncertainty: Obtained after computing the geometrical mean between the horizontal semi-minor and semi-major axes of the 68% confidence ellipse in kilometers.</p> <p>• vertical_uncertainty: Vertical semi-axis of the 68% confidence ellipse.</p> <p>• rms: root-mean-square of residuals at maximum likelihood or expectation hypocenter.</p> <p>• no_arrivals: number of readings used for the absolute location.</p> <p><br>File S1. File_S1.dat: Eastern Betics Shear Zone catalog’s absolute locations with mIGN1D.</p> <p>File S2. File_S2.dat: Eastern Betics Shear Zone catalog’s statistics with mIGN1D.</p> <p>File S3. File_S3.dat: Eastern Betics Shear Zone catalog’s absolute locations with mTAB3D.</p> <p>File S4. File_S4.dat: Eastern Betics Shear Zone catalog’s statistics with mTAB3D.</p> <p>File S5. File_S5.dat: Al Hoceima 2016 catalog’s absolute locations with mIGN1D.</p> <p>File S6. File_S6.dat: Al Hoceima 2016 catalog’s statistics with mIGN1D.</p> <p>File S7. File_S7.dat: Al Hoceima 2016 catalog’s absolute locations with mTAB3D.</p> <p>File S8. File_S8.dat: Al Hoceima 2016 catalog’s statistics with mTAB3D.</p> <p>Additionally, we provide two figures showing the location of those hypocenters (alboran.jpg and ebsz.jpg), which are included as Figures 3 and 5, respectively, in Sánchez-Roldán et al. (2024a).</p> <p>References:</p> <p><span>Sánchez-Roldán, J. L.</span>, <span>Álvarez-Gómez, J. A.</span>, <span>Martínez-Díaz, J. J.</span>, <span>Herrero-Barbero, P.</span>, <span>Perea, H.</span>, <span>Cantavella, J. V.</span>, & <span>Lozano, L.</span> (<span>2024a</span>). <span>New 3D velocity model (mTAB3D) for absolute hypocenter location in southern Iberia and the westernmost mediterranean</span>. <em>Earth and Space Science</em>, <span>11</span>, e2023EA00299. <a href="https://doi.org/10.1029/2023EA002993">https://doi.org/10.1029/2023EA002993</a></p> <p>Sánchez-Roldán, J. L., Álvarez-Gómez, J. A., Martínez-Díaz, J. J., Herrero-Barbero, P., Perea, H., Lozano, L., & Cantavella, J. V. (2024b). MTAB3D: a 3-D velocity model for absolute hypocenter location in southern Iberia and westernmost Mediterranean. (v1.0) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.7766525" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.7766525</a></p> <div> </div> <p> </p> <p> </p>
Binding Affinity Prediction Workflow - Simulation Input Files and Absolute Binding Free Energies
<p>The Binding Affinity Prediction (BAP) workflow calculates absolute binding free energies for protein-ligand complexes by taking their crystal structures, converting them into input files for molecular dynamics (MD) simulations with GROMACS after they have passed extensive quality checks, and analysing the resulting trajectories with the Generalised Born model of implicit solvation as implemented in gmx_MMPBSA to obtain the free-energy estimates. The workflow was designed for soluble proteins without post-translational modifications, co-factors and non-standard amino acids, and it has limited support for coordinated ions.</p> <p>For the dataset published here, the BAP workflow was run on the PDBbind 2020 (http://www.pdbbind.org.cn/index.php) refined set. This entry contains the MD simulation input files (BAPSimulationInputFiles.tar.gz) and the ABFE estimates (BAPBindingFreeEnergyEstimates.csv) obtained from four 250 ns trajectories for each complex. The MD simulations for more than 4000 complexes were run on the Leonardo supercomputer while the implicit-solvent calculations were carried out on Galileo, both operated by Cineca (Italy). The MD trajectories will be stored at Cineca for approx. 1 year after publication of this entry; contact Cineca's user support if you are interested in the trajectories.</p> <p>The README file describes how to reproduce the MD trajectories and the subsequent implicit-solvent calculations yielding the free-energy estimates. The workflow scripts can be downloaded from GitHub (https://github.com/LigateProject/Binding-Affinity-Prediction-workflow). The MD simulations were run with GROMACS 2023.2 (https://manual.gromacs.org/2023.2/index.html), and the implicit-solvent calculations were carried out with gmx_MMPBSA 1.6.1 (https://valdes-tresanco-ms.github.io/gmx_MMPBSA/v1.6.1/).</p>
Regional HYCOM output: absolute and relative wind forcing experiments
<p>Hybrid Coordinate Ocean Model (HYCOM) output from 2 forced regional simulations of the Agulhas Current. The first experiment is forced by absolute winds, the second experiment is forced by relative winds (the wind speed relative to the current speed). Data uploaded here are the sea surface height and surface u and v velocities, for both experiments. This is weekly output from January 1993- December 2013 at 1/10°. Also uploaded is a vertical section of the HYCOM output along the ACT transect in the Agulhas Current (~33.4°S at the coast and extending 300km offshore) for both experiments from 2010- 2013.</p> <p>For more information on the data please refer to "L. Braby, Backeberg, B., Krug M. and Reason C. (in prep), Quantifying the impact of wind-current feedback on mesoscale variability in forced simulation experiments of the Agulhas Current using an eddy tracking algorithm."</p>
Absolute frequency measurement of the 1 S 0 – 3 P 0 transition of 171 Yb with a link to International Atomic Time
<p>Dataset of the INRIM Yb clock measured respect to TAI collected between October 2018 to February 2019.<br> </p> <p>YbvsSIm-viaEAL.dat: montly data with columns</p> <pre><code>MJDstart: start date in MJD MJDstop: stop date in MJD MJDmed: mid point date in MJD MJDbaro: baricenter date in MJD Ybduty: Yb clock duty time y0=Yb/HM3: ratio between Yb clock and H Maser 03 u0: statistical uncertainty of y0 uB0: systematic uncertainty of y0 y1=extrap.: extrapolation over HM3 udead1: uncertainty of y1 from dead times udrift1: uncertainty of y1 from HM3 drift HM3drift/d: HM3 drift per day udrift/d: uncertainty of HM3 drift y2=HM3/UTCit: ratio between HM3 and UTC(IT) u2: uncertainty of y2 y3=UTCit/TAI: ratio between UTC(IT) and TAI u3: uncertainty of y3 y4=EALext.: extrapolation over EAL udead4: uncertainty of y4 from dead times udrift4: uncertainty of y4 from EAL drift y5=-d: ratio between TAI and the SI second from Circular T u5: uncertainty of y5 uA5: statistical uncertainty of y5 uB5: systematic uncertainty of y5 y=Yb/SI: final ratio beween the Yb clock and the Si second uA: not used uB: not used u: uncertainty of y </code></pre> <p>YbvsTAId.dat: data every 5 days with columns:</p> <pre><code>MJDstart: start date in MJD MJDstop: stop date in MJD MJDmed: mid point date in MJD MJDbaro: baricenter date in MJD Ybduty: Yb clock duty time y0=Yb/HM3: ratio between Yb clock and H Maser 03 u0: statistical uncertainty of y0 uB0: systematic uncertainty of y0 y1=extrap.: extrapolation over HM3 udead1: uncertainty of y1 from dead times udrift1: uncertainty of y1 from HM3 drift HM3drift/d: HM3 drift per day udrift/d: uncertainty of HM3 drift y2=HM3/UTCit: ratio between HM3 and UTC(IT) u2: uncertainty of y2 y3=UTCit/TAI: ratio between UTC(IT) and TAI u3: uncertainty of y3 y=Yb/TAI: final ratio beween the Yb clock and TAI uA: not used uB: not used u: uncertainty of y </code></pre> <p> </p>
Absolute Binding Free Energies with OneOPES
<h1>Supporting Material: Absolute Binding Free Energies with OneOPES</h1> <p>Further information about the content of the directory can be found in the README file included</p> <p>The Plumed input files can also be found on Plumed-Nest https://www.plumed-nest.org/eggs/24/017/</p> <p> </p> <h3>Aknowledgements</h3> <p>The authors acknowledge PRACE and the Swiss National Supercomputing Centre (CSCS) for large supercomputer time allocations on Piz Daint, project IDs: pr126, s1107, s1169, s1228. FLG acknowledges the Swiss National Science Foundation and Bridge for financial support (projects number: 200021_204795, CRSII5_216587 and 40B2-0_203628). The authors are grateful to Nicola Piasentin for helping in devising the error-informed stopping strategy and for carefully reading the manuscript.</p> <p> </p> <h3>Reference</h3> <p>Absolute Binding Free Energies with OneOPES<br>Maurice Karrenbrock, Alberto Borsatto, Valerio Rizzi, Dominykas Lukauskis, Simone Aureli, and Francesco Luigi Gervasio<br>The Journal of Physical Chemistry Letters 0, <em> 15<br>DOI: 10.1021/acs.jpclett.4c02352 </em></p> <p> </p> <h3>Versions :</h3> <ul> <li>1.0.0 First version</li> <li>1.0.1 Bugfix: added the missing topology files (top.top)</li> <li>1.1.0 Bugfix: added missing index files (index.ndx) and missing Slurm files (run.slr). New: added a directory with what is needed to equilibrate the systems</li> </ul>
Log Decomposition Dynamics in Interior Alaska 5a - Preliminary Results (treatment down) - Absolute
The entire dataset (all 7 files) contains detailed information on a time series study of log decomposition in interior Alaska. The species studied include white and black spruce, aspen, birch, balsam poplar and aspen starting as green trees. In addition white and black spruce in recently burned sites are included. The study was designed to produce a time series of log decomposition measurements over the next 100 years. The information to be measured on the logs includes weight and density changes over specified time periods, changes in nutrient concentrations, and hemicellulose, cellouse, and lignin concentrations, and changes in the quantity of nutrients and hemicellulose, cellouse and lignin. (This file contains preliminary absolute results for treatment=down part of the study.)
Hydrodynamic and morphological information, and the absolute variations of the vulnerability indices for the period 2000-2015 of the Spanish Iberia Peninsula estuaries.
<p>The dataset included in this repository was obtained during the project entitled 'Sensibilidad física y biotic de los estuarios peninsulares al cambio global (SENSES)' funded by 'Fundación Biodiversidad', PRCV00487. The data were used in the research article 'Sensitivity of Iberian estuaries to changes in sea water temperature, salinity, river-flow, mean sea level, and tidal amplitudes' submitted to <em>Estuarine, Coastal and Shelf Science</em>.</p> <p>Brief description of dataset:</p> <p>For each estuary, the following parameters were calculated</p> <ul> <li>Fachade: the location of the estuary</li> <li>Area (km<sup>2</sup>) </li> <li>D (m): water depth at the mouth of the estuary in 2000 and 2015</li> <li>Tidal Prim (m<sup>3</sup>)</li> <li>Q<sub><em>f</em></sub> (m<sup>3</sup>/s): river flow in 2000 and 2015</li> <li><em>a </em>(m): tidal amplitude of the free surface elevation in 2000 and 2015</li> <li>∆<em>U</em> (m/s): absolute variation of the tidal current amplitude between 2000 and 2015</li> <li>∆<em>E</em> (W/m<sup>2</sup>): absolute variation of the tidal energy flux propagation index between 2000 and 2015</li> <li>∆<em>Ri </em>: absolute variation of the bulk Richardson number index between 2000 and 2015</li> <li>∆<em>SI</em>: absolute variation of the salinity intrusion index between 2000 and 2015</li> </ul> <p>A wide description of the parameters can be found in Serrano, M. A. et al (submitted to <em>Estuarine, Coastal and Shelf Science</em>)</p> <p>Contact person: mserranog@ugr.es</p>
Measurement of Absolute Retinal Blood Flow Using a Laser Doppler Velocimeter Combined with Adaptive Optics
<p><strong>Purpose</strong>: Development and validation of an absolute laser Doppler velocimeter (LDV) based on an adaptive optical fundus camera which provides simultaneously high definition images of the fundus vessels and absolute maximal red blood cells (RBCs) velocity in order to calculate the absolute retinal blood flow.\newline<br> <strong>Methods</strong>: This new absolute laser Doppler velocimeter is combined with the adaptive optics fundus camera (rtx1, Imagine Eyes$^\copyright$,Orsay, France) outside its optical wavefront correction path. A 4 seconds recording includes 40 images, each synchronized with two Doppler shift power spectra. Image analysis provides the vessel diameter close to the probing beam and the velocity of the RBCs in the vessels are extracted from the Doppler spectral analysis. Combination of those values gives an average of the absolute retinal blood flow. An in vitro experiment consisting of latex microspheres flowing in water through a glass-capillary to simulate a blood vessel and in vivo measurements on six healthy humans were done to assess the device.\newline<br> <strong>Results</strong>: In the in vitro experiment, the calculated flow varied between 1.75µl/min and 25.9µl/min and was highly correlated (r<sup>2</sup>= 0.995) with the imposed flow by a syringe pump.<br> In the in vivo experiment, the error between the flow in the parent vessel and the sum of the flow in the daughter vessels was between -11% and 36% (mean±sd 5.7±18.5%). Retinal blood flow in the main temporal retinal veins of healthy subjects varied between 0.9 µL/min and 13.2µL/min.</p> <p><strong>Conclusion</strong>: This adaptive optics LDV prototype (aoLDV) allows the measurement of absolute retinal blood flow derived from the retinal vessel diameter and the maximum RBCs velocity in that vessel.</p>
Monthly values of absolutely measured geomagnetic components (D, I, H, Z, F) of Coimbra observatory in the period1866-2015
<p>Monthly values of the absolutely measured geomagnetic components D, I, H, Z, F for the period 1866-2015 of Coimbra observatory. Different combinations of three magnetic elements were used to fully specify the geomagnetic field vector: the HDI components were measured in 1866-1951; HDZ in 1951-2006; and DIF in 2006-2015. It should also be noted that the monthly values of the first period (1866-1951) are based exclusively on the averages of absolute measurements (made on average 3 per month), while from 1951 onwards the monthly averages were calculated from the hourly averages obtained from the magnetograms after baseline calibration.</p>
KaKiOS-16: a probabilistic, non-linear, absolute location catalog of the 1981-2011 Southern California seismicity
<p>This is the KaKiOS-16 earthquake catalog for southern California. We locate the southern California seismicity using the state-of-the-art probabilistic and nonlinear method NonLinLoc. We use only the P wavepicks to avoid introducing the velocity-model and picking-time errors of the S phase, which is harder to detect and thus less constrained. Using a subset of the best locatable earthquakes, we conduct a joint inversion using the VELEST software to obtain a minimum 1D velocity model and station corrections. We use the NonLinLoc method with this 1D velocity model and the inferred model uncertainties to obtain realistic location distributions for each event.<br> </p>
Dispilio. Supplementary Information for Maczkowski et al., Absolute dating of the European Neolithic using the 5259 BC rapid 14C excursion
<p>Supplementary Material for the paper "Absolute dating of the European Neolithic using the 5259 BC rapid 14C excursion":</p> <p> </p> <p><strong>Supplementary Information</strong> includes OxCal code, wiggle-matching output, photographs of the Neolithic juniper wood samples analysed, photographs of the tree-ring sampling for annual radiocarbon, photographs of modern tree-ring analogues, supplementary text on the data presented in the article, as well as the tree-ring width measurements in Heidelberg format (.fh).</p> <p><strong>Supplementary Data 1-2 </strong>includes spreadsheets with all the new raw radiocarbon data presented in the article, the associated uncertainties and ring numbers.</p> <p><strong>Supplementary Data 3</strong> includes the R code and the source data used for the generation of Figures 3 and 5 in the main article text, as well as the OxCal code used for the wiggle-matching of annual 14C in OxCal as presented in Fiugre 5</p> <p>The latest version of the Supplementary Material is just an expanded version of the first, files have been renamed according to editorial guidlines, few extra figures, OxCal code, and extra information added after the review process. No changes were made to any of the data published online in the initial version of the Supplementary Material.</p> <p> </p> <p>File renaming from last version:</p> <p>Supplementary Material = Supplementary Information</p> <p>Supplementary Material S1 = Supplementary Note 1</p> <p>Supplementary Material S2 = Supplementary Figures</p> <p>Supplementary Material S3 = Supplementary Note 2</p> <p>Supplementary Table T1 = Supplementary Data 1-2</p> <p>Supplementary Material S4 = Supplementary Data 3</p> <p> </p>
РИС. 1. Схематичное иЗображение глаЗа наЗемного лёгочного моллюска. СокраЩениЯ: c – роговица; ec – глаЗнаЯ капсула; r – сетчатка; p – краЯ Зрачка; l – хрусталик, окруженный слоем стекловидного тела; L abs – абсолютное расстоЯние между Зрачком и наружной поверхностью хрусталика; D l – продольный диаметр хрусталика; А – абсолютный диаметр Зрачabs ка; D – поперечный диаметр глаЗа. FIG. 1. Schematic drawing of the eye of a terrestrial pulmonate mollusk. Abbreviation: c – cornea; ec – eye capsule; r – retina; p – edges of the pupil; l – lens, surrounded by a layer of the vitreous body; L abs – the absolute distance between the pupil and the outer surface of the lens; D l – the longitudinal diameter of the lens; А abs – the absolute diameter of the pupil; D e – the transverse diameter of the eye. in Зрачок камерных глаЗ наЗемных брюхоногих моллюсков (Heterobranchia, Stylommatophora)
РИС. 1. Схематичное иЗображение глаЗа наЗемного лёгочного моллюска. СокраЩениЯ: c – роговица; ec – глаЗнаЯ капсула; r – сетчатка; p – краЯ Зрачка; l – хрусталик, окруженный слоем стекловидного тела; L abs – абсолютное расстоЯние между Зрачком и наружной поверхностью хрусталика; D l – продольный диаметр хрусталика; А – абсолютный диаметр Зрачabs ка; D – поперечный диаметр глаЗа. FIG. 1. Schematic drawing of the eye of a terrestrial pulmonate mollusk. Abbreviation: c – cornea; ec – eye capsule; r – retina; p – edges of the pupil; l – lens, surrounded by a layer of the vitreous body; L abs – the absolute distance between the pupil and the outer surface of the lens; D l – the longitudinal diameter of the lens; А abs – the absolute diameter of the pupil; D e – the transverse diameter of the eye.
ABSOLUT input data for an example application on the districts of Germany
<p>These are data for running the ABSOLUT R programs published separately on Zenodo: <a href="https://doi.org/10.5281/zenodo.4468608">10.5281/zenodo.4468608</a>.</p> <p>The data published here consist of:</p> <p><strong>absolutcontrol.dat</strong> – text file (UTF-8) with case-specific settings for program execution, may be edited by the user</p> <p><strong>crop-areas.csv</strong> – CSV table of crop areas in hectares for different crops in German administrative areas. Modified from data originally provided by the statistical offices of Germany (© Statistische Ämter des Bundes und der Länder, Deutschland, 2020) and re-distributed here in this modified form also under the terms of the Data licence Germany – attribution – version 2.0, see https://www.govdata.de/dl-de/by-2-0</p> <p><strong>districtweather.zip</strong> – zipped directories DistrictWeather and DistrictFeatures. DistrictWeather contains 401 ASCII DAT files with monthly weather variables, one per district. These have been generated using rasterized weather data from the German meteorological service (Deutscher Wetterdienst, DWD), an official digital map of administrative boundaries provided by the German Federal Agency for Cartography and Geodesy, and CLC-2012 land use data provided by Copernicus. DistrictFeatures is an empty directory to be used by the corresponding program.</p> <p><strong>climatescenarios.zip</strong> - zipped directories ClimateScenarios and ClimateScenarioFeatures. ClimateScenarios contains three subdirectories with example climate scenario realisations in the same format as DistrictWeather. ClimateScenarioFeatures is an empty directory to be used by the corresponding program.</p> <p><strong>yield-indat.csv </strong>– CSV table of crop yields in dt/ha for different crops in German administrative areas, annual values for the years 1999–2020. Modified from data originally provided by the statistical offices of Germany (© Statistische Ämter des Bundes und der Länder, Deutschland, 2021) and re-distributed here in this modified form also under the terms of the Data licence Germany – attribution – version 2.0, see https://www.govdata.de/dl-de/by-2-0</p>
Absolute Ranking Videogame Simulation
<p>Simulación del dataset generado por el código <em>Web Scraping</em> para la <strong>Práctica 1: Web Scraping</strong> de la asignatura <strong>Tipología y ciclo de vida de los datos</strong> de la <strong>UOC</strong>.</p> <p>El set original se encuentra en una carpeta Google Drive y en una carpeta del repositorio GitHub que ha sido proporcionado por el profesorado de la asignatura mediante un enlace en el apartado de Evaluación y entrega.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.