Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,891
datasets available to search
ShareScore release 0.9.0
Dataset results
1,891 results for “Field data”
Data and plotting code for "Energetic electron scattering by kinetic Alfvén waves at strong magnetic field gradients of dipolarization front"
<p>This publication includes the dataset and plotting code for reproducing results and figures of the manuscript "Energetic electron scattering by kinetic Alfvén waves at strong magnetic field gradients of dipolarization front", which was submitted to Physics of Plasma for potential publication. In this paper, we use test particle simulations to study energetic electron pitch angle and momentum scattering driven by kinetic Alfvén waves, at the magnetic field gradients associated with the dipolarization front, current sheet and plasma sheet fields in the magnetotail. </p> <p>The simulation data contains time history of 1000 test particle trajectories, momentum, energy, and KAW wave phases recorded every 0.001 second. Each simulation for different electron energies and pitch angles has a size of over 1 GB, so here we have only included one example of test particle simulation run associated with Figure 3. Only the final results of pitch angle diffusion coefficients are provided associated with Figure 4. A full set of time history results of all test particle simulation runs for Figure 4 will be available upon reasonable request (yshen@epss.ucla.edu). </p> <p>Detailed descriptions:</p> <p> PoP_figure_1.m --- Matlab plotting code for reproducing magnetic field model and geometry for Figure 1.</p> <p> PoP_figure_2.m --- Matlab plotting code for reproducing resonant energy as a function of wave normal angle, electron pitch angle, and field model parameters in Figure 2.</p> <p> PoP_figure_3.m --- Reading test particle simulation data and plotting code for reproducing Figure 3. Please ensure proper directory setting to read test particle data files. </p> <p> PoP_figure_4_5.m --- Reading saved bounce-averaged diffusion coefficient data and plotting Figure 4 and Figure 5.</p> <p> Daa_Energy_alpha_ad3xp15_e1.csv --- Electron diffusion coefficients driven by KAW scattering as a function of energy and pitch angle obtained from test particle simulations. KAW wave amplitude is set to 1 mV/m. Electrons are initiated from a position of x=150 km within the dipolarization front.</p> <p> Tau_Energy_alpha_xp15.csv --- Electron bounce periods as a function of energy and pitch angle based on numerical test particle simulations without KAW input.</p> <p> pKAW_1000p_dify_E100keV_PA5_Daa_E4_pop.zip --- Data files containing 1000 test particle trajectories, momentum and adiabatic invariant. This one single run is for electrons with an energy of 100 keV and a pitch angle of 5 degree, under influence of KAW wave electric field of 4 mV/m. This dataset is used to plot Figure 3. </p> <p> pKAW_1000p_dify_init_Ppara_mue_E100_PA4_Daa_E4_pop.dat --- initial parallel momentum and first adiabatic invariant of 1000 test particles. Read this file for plotting Figure 3. </p> <p> Bxyz.m --- calculate model magnetic field for given positions in x, y, and z</p> <p> FAC.m --- convert local x, y, z coordinates to field-aligned coordinates</p> <p> gradB.m --- calculate the gradient of magnetic field for given positions in x, y, and z</p> <p> E_to_pnorm_hsr.m --- calculate normalized momentum based on relativistic electron energy</p> <p> mysubplot.m --- plotting function to replace subplot routine of Matlab</p> <p> </p> <p> </p>
Data files for 'Tan et al., (2023). Tomographic evidences for hydraulic fracturing induced seismicity in the Changning shale gas field, southern Sichuan Basin, China'
<p>station.dat : the station coordinates of the local seismic network (including the station ID, longitude, latitude, elevation(negative)/depth(positive), X, Y)</p> <p>catalog.dat : the seismic phase catalog used in double-difference (DD) seismic tomography</p> <p>relocation.dat : the earthquake relocations obtained by DD tomography</p> <p>1-D Vp&Vs.xlsx : the 1-D Vp and Vs models of the shale gas field</p> <p>3-D Vp.dat: the 3-D Vp model obtained by DD tomography</p> <p>3-D Vs.dat: the 3-D Vs model obtained by DD tomography</p> <p>3-D VpVs.dat: the 3-D Vp/Vs model obtained by DD tomography</p> <p>FMS&pore pressure.xlsx: the focal mechanism solutions and excessive fluid pressures of the selected earthquakes</p> <p>waveforms.rar: the waveforms of the earthquakes recorded by our local sparse array</p>
Field data synthesis accompanying "Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)"
<p>Synthesis of fuel load and fuel consumption field measurements accompanying the publication:</p><p>"Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)"</p><p>Dave van Wees1, Guido R. van der Werf1, James T. Randerson2, Brendan M. Rogers3, Yang Chen2, Sander Veraverbeke1, Louis Giglio4, and Douglas C. Morton5</p><p>1Department of Earth Sciences, Vrije Universiteit, Amsterdam, 1081 HV, The Netherlands<br>2Department of Earth System Science, University of California, Irvine, CA 92697, USA<br>3Woodwell Climate Research Center, Falmouth, MA 02540, USA<br>4Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA<br>5Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA</p><p>DOI: https://doi.org/10.5194/gmd-15-8411-2022</p><p> </p><p>Units are g C / m2</p>
Data to accompany from: Effects of neonicotinoid seed treatments on wildbee populations and soybean and corn fields in eastern Ontario
<p><span>Neonicotinoid-coated corn and soybean seeds are a common crop in Canada and the US. A growing body of research is demonstrating that, through various exposure routes, neonicotinoids can impact a suite of non-target organisms including beneficial insects such as bees. However, to date, only a few studies have examined the effects of neonicotinoids in field settings. We assessed the relationship between agricultural crop soil neonicotinoid levels and wild bee abundance and diversity at 16 agricultural sites representing different soil neonicotinoid levels. We detected clothianidin at 11 sites, thiamethoxam at three sites; imidacloprid was not detected. Hedgerow and crop soils were consistent in terms of where clothianidin was detected; thiamethoxan was not detected in hedgerow soils. Based on model outcomes, fields with higher levels of soil neonicotinoids exhibited significantly lower wild bee abundance and diversity than those with low or no neonicotinoids detected. Crop soil neonicotinoid level, hedgerow floral resource abundance and crop type were consistent predictors of bee abundance across models; only neonicotinoid level and crop type were significant predictors of diversity. Our results are consistent with recent findings in the midwestern US, and underscore the potential risk of soil neonicotinoids to wild bee populations across regions and crop systems.</span></p>
Raw Data to 'Experimental verification of the area law of mutual information in quantum field theory', arXiv:2206.10563
<p><strong>Absorption images representing the raw data for arXiv:2206.10563</strong></p> <p>'scan5722.zip' contains the raw data for figures 2 and 3.</p> <p>'scan5831.zip' and 'scan9617.zip' contain the raw data for figure 5, right and left, respectively.</p> <p>All three datasets, 9617, 5722, and 5831, are used to obtain the data points in figure 4, from low to high temperatures.</p> <p> </p> <p><strong>Scans 5722 & 5831</strong></p> <p>The absorption images are numbered consecutively.</p> <p>The first image for scans 5722 and 5831 is taken along the axial (longitudinal) direction with our 'longitudinal' imaging system after 10 ms time of flight (TOF) to measure the atom number balance between the two wells. The measurement is performed before ramping up the DW barrier. Two images are taken in each cycle: One shot with atoms ('1-atomcloud.tif') and a second image to record the intensity of the imaging beam without atoms ('1-withoutatoms.tif'). These two pictures are used to extract the atomic density (see the Matlab script).</p> <p>The second image for scans 5722 and 5831 is taken in the direction of the double-well (DW) separation with our 'transverse' imaging system. The measurement is performed before ramping up the DW barrier. The image is taken after 11.2 ms TOF.</p> <p>The subsequent images record the interference fringes for the different evolution times (again, always pairs '-atomcloud.tif' and '-withoutatoms.tif'). They are taken with our 'vertical' imaging system after 15.6 ms TOF. The imaging direction is perpendicular to the weakly confined direction of the clouds and the DW separation.</p> <p>The recorded evolution times for scan 5722 are -1.9 ms (right before ramping up the DW barrier), 0 ms (right after the DW barrier is ramped up), and then in steps of 2.5 ms until 65 ms. This means that '3-atomcloud.tif' corresponds to -1.9 ms, and '30-atomcloud.tif' corresponds to 65 ms. This completes the 'first repeat'. The next two shots, '31-atomcloud.tif' and '32-atomcloud.tif', belong to the 'second repeat' and are again taken with the 'longitudinal' & 'transverse' imaging systems, respectively. The picture '33-atomcloud.tif' is again taken with the 'vertical' imaging and corresponds to -1.9 ms. And so forth.</p> <p>In the same way, the pictures scan 5831 are ordered. The evolution times (in ms) for these two scans are:</p> <p>scan 5722: -1.9 from 0 to 65 (in steps of 2.5)</p> <p>scan 5831: -1.8, from 0 to 65 (in steps of 2.5)</p> <p>The first time always corresponds to the instant right before the DW barrier is ramped up. 0 is always right after the barrier was ramped up.</p> <p> </p> <p><strong>Scan 9617</strong></p> <p>This scan only contains images with the 'vertical' imaging system with 15.6 ms TOF. The evolution times (in ms) are as follows:</p> <p>scan 9617: -2.8, from 0 to 15 (in steps of 1.5), 22, 25, 28</p> <p>The first time always corresponds to the instant right before the DW barrier is ramped up. 0 is always right after the barrier was ramped up.</p> <p>This means, that '1-atomcloud.tif', '16-atomcloud.tif', '31-atomcloud.tif' and so on correspond to -2.8 ms, and '15-atomcloud.tif', '30-atomcloud.tif', '45-atomcloud.tif' and so on correspond to 28 ms.</p> <p> </p> <p><strong>Matlab script</strong></p> <p>In addition to the data, a Matlab script (calc_atomic_density.m) illustrates how to extract the two-dimensional atomic density from the absorption images. It contains all relevant parameters of the imaging systems.</p>
DATA - Modern manufacturing enables magnetic field cycling experiments and parahydrogen induced hyperpolarization with a benchtop NMR
<p>Datasets and software for the publication "Modern manufacturing enables magnetic field cycling experiments and parahydrogen induced hyperpolarization with a benchtop NMR"</p>
Simulation data : Triggering of whistler-mode rising and falling tone emissions in a homogeneous magnetic field
<p>This dataset is obtained from <a href="http://space.rish.kyoto-u.ac.jp/software/">KEMPO1</a> code with minor modifications. This dataset contains simulation data and Python3 code examples. For more details, please refer to README.md.</p>
Data from: A Method for Measuring B0 Field Inhomogeneity using Quantitative DESS (qDESS)
<p><strong>Purpose</strong>: To develop and validate a method for B0 mapping for knee imaging using the quantitative Double-Echo in Steady-State (qDESS) exploiting the phase difference (∆θ) between the two echoes acquired. Contrary to a standard two-gradient echo (2-GRE) method, the phase accumulation in qDESS depends only on the first echo time.</p> <p><strong>Methods:</strong> Bloch simulations were applied to investigate the robustness to noise of the proposed methodology and all imaging studies were validated with phantoms and in vivo simultaneous bilateral knee acquisitions. Two phantoms and 5 healthy subjects were scanned using qDESS, water saturation shift referencing (WASSR), and multi GRE sequences. ∆B0 maps were calculated with the qDESS and the 2-GRE methods and compared against those obtained with WASSR. The comparison was quantitatively assessed by exploiting pixel-wise difference maps, Bland-Altman (BA) analysis, and Lin’s concordance coefficient (ρc). For in-vivo subjects, the comparison was assessed in cartilage using average values in 6 sub-regions.</p> <p><strong>Results:</strong> The proposed method for measuring B0 inhomogeneities in phantom and in-vivo scans from a qDESS acquisition provided ∆B0 maps that were in good agreement with those obtained using WASSR. ∆B0 Lin’s coefficients were greater than or equal to 0.98 and 0.90 in phantoms and in vivo, respectively. The agreement between qDESS and WASSR was comparable to that of a standard 2-GRE method. Conclusion: The proposed method may allow B0 correction for qDESS T2 mapping using an inherently co-registered ∆B0 map without requiring an additional B0 measurement sequence. More generally, the method may help shorten knee imaging protocols that require an auxiliary ∆B0 map by exploiting a qDESS acquisition that also provides T2 measurements and high-quality morphological imaging.</p> <p><strong>Conclusion:</strong> The proposed method may allow B0 correction for qDESS T2 mapping using an inherently co-registered ∆B0 map without requiring an additional B0 measurement sequence. More generally, the method may help shorten knee imaging protocols that require an auxiliary ∆B0 map by exploiting a qDESS acquisition that also provides T2 measurements and high-quality morphological imaging.</p> <p><strong>This repository contains the data for reproducing the results reported in the paper. For the in-vivo data, python scripts are provided to perform the data analysis described in the paper. The data are provided in NIFTI format. </strong></p> <p><strong>Please cite the original paper (10.1002/mrm.29465) and this repository if you use any of the data or code contained here.</strong></p> <p> </p>
Data set for "1/f Noise Characterization of Bilayer MoS2 Field-Effect Transistors on Paper with Inkjet-Printed Contacts and hBN Dielectrics"
<p>Data set of the experimental results presented in the article "1/f Noise Characterization of Bilayer MoS2 Field-Effect Transistors on Paper with Inkjet-Printed Contacts and hBN Dielectrics" published in Advanced Electronics Materials.</p>
Data: set for "Low-voltage 2D materials-based printed field-effect transistors for integrated digital and analog electronics on paper"
<p>The file reports the raw data of Figure 2, Figure 3 and Figure 4 of the manuscript. Data shown in Figure 2 represent the electrical characterization of the MoS<sub>2</sub> FETs with inkjet-printed silver contacts. Figure 2a is a typical transfer characteristic measured as a function of the gate voltage for a drain voltage of 2.0 V; Figure 2b is a typical output characteristic measured at different gate voltages (from V<sub>GS</sub> = 0.0 V to V<sub>GS</sub> = 1.75 V, steps of 0.25 V). Figure 3 represents the electrical characterization of the MoS<sub>2</sub> FETs with inkjet-printed graphene contacts. In particular, a typical transfer characteristic curve measured as a function of the gate voltage for a drain voltage of 2.5 V is shown and a typical output characteristic curves measured at increasing gate voltages (from V<sub>GS</sub> = 0.0 V to V<sub>GS</sub> = 1.75 V, steps of 0.25 V) are reported in Figure 3b and Figure 3c, respectively. Logic gates and current mirror based on MoS2 FETs with inkjet-printed silver contact are presented in Figure 4. Figure 4c shows the output voltage (left axis) and the voltage gain (right axis) of the inverter gate as a function of the input voltage; Figure 4f the output voltage of the NAND gate as a function of the input states (V<sub>IN1</sub>, V<sub>IN2</sub>). Voltage bias is 5 V for both the inverter and the NAND gate; and Figure 4i g the output current of the current mirror as a function of the output voltage for two different values of the reference current.The file reports the raw data of Figure 2, Figure 3 and Figure 4 of the manuscript. Data shown in Figure 2 represent the electrical characterization of the MoS<sub>2</sub> FETs with inkjet-printed silver contacts. Figure 2a is a typical transfer characteristic measured as a function of the gate voltage for a drain voltage of 2.0 V; Figure 2b is a typical output characteristic measured at different gate voltages (from V<sub>GS</sub> = 0.0 V to V<sub>GS</sub> = 1.75 V, steps of 0.25 V). Figure 3 represents the electrical characterization of the MoS<sub>2</sub> FETs with inkjet-printed graphene contacts. In particular, a typical transfer characteristic curve measured as a function of the gate voltage for a drain voltage of 2.5 V is shown and a typical output characteristic curves measured at increasing gate voltages (from V<sub>GS</sub> = 0.0 V to V<sub>GS</sub> = 1.75 V, steps of 0.25 V) are reported in Figure 3b and Figure 3c, respectively. Logic gates and current mirror based on MoS2 FETs with inkjet-printed silver contact are presented in Figure 4. Figure 4c shows the output voltage (left axis) and the voltage gain (right axis) of the inverter gate as a function of the input voltage; Figure 4f the output voltage of the NAND gate as a function of the input states (V<sub>IN1</sub>, V<sub>IN2</sub>). Voltage bias is 5 V for both the inverter and the NAND gate; and Figure 4i g the output current of the current mirror as a function of the output voltage for two different values of the reference current.</p>
Data: Detecting preservation and reintroduction sites for endangered plant species using a two-step modelling and field approach
<p><span>To withstand the surge of species loss worldwide, (re)introduction of endangered plant species has become an increasingly common technique in conservation biology. Successful (re)introduction plans, however, require identifying sites that provide the optimal ecological conditions for the target species to thrive. In this study, we propose a two-step approach to identify appropriate (re)introduction sites. The first step involves modelling the niche and distribution of the species with bioclimatic and topographical predictors, both at continental and at national scales. The second step consists of refining these bioclimatic predictions by analysing stationary ecological parameters, such as soil conditions, and relating them to population-level fitness values. We demonstrate this methodology using Swiss populations of the lady's slipper orchid (<em>Cypripedium calceolus</em> L., Orchidaceae), for which conservation plans have existed for years but have generally been unfruitful. Our workflow identified sites for future (re)introductions based on the species requirements for mid-to-sunny light conditions and specific soil physico-chemical properties, such as basic to neutral pH and low soil organic matter content. Our findings show that by combining wide-scale bioclimatic modelling with fine scale field measurements it is possible to carefully identify the ecological requirements of a target species for successful (re)introductions.</span></p>
Data from: A field experiment exploring disturbance-and-recovery, and restoration methodology of Zostera capensis to support its role as a coastal protector
<p>This DRYAD data set covers statistical analysis for the study, "Seagrass restoration experiment to support coastal protection." </p> <p>Dataset attached covers row data regarding field experiments carried out to demonstrate the time needed for the seagrass to recover after disturbance (imitation of anthropogenic impact). The data is centered on showing the evolution (increase) of seagrass shoot density after a quantified period (time series over a year) where the pressure to seagrass is halted. Halting of pressure would resemble a total ban or reduction of anthropogenic impact of digging and revolving of seagrass; action carried out by communities, aiming to collect clams and other shellfish. This data covers also variation in sediments and epiphytes. </p> <p>Additional data is provided on the seagrass restoration methodology that was added to the above-mentioned experiment. The IUCN Red listed Vulnerable seagrass species, <em>Zostera capensis</em> was tested using the plug method (a sediment-based methodology). Two size plugs, made of PVC tube, were tested: 4.5 cm and 7.5 cm diameter size, over a 12-month period (measurements carried out on four occasions). The 7.5 PVC tube experiment revealed a higher survival rate and is therefore a more suitable method for future <em>Z. capensis </em>restoration in impacted areas.</p> <p>These data can be re-used as long as it cites the original data (this paper). To comply with best practices, we recommend mentioning the source of the data.</p>
Extended-field synchrotron microtomography for non-destructive analysis of incremental lines in human teeth cementum: example data
<h3>Abstract</h3> <p>Tooth cementum annulation (TCA) is used for determining age-at-death and stress periods based on yearly<br>deposited layers in the root cementum of human teeth. Traditionally, TCA analysis employs optical microscopy,<br>which requires cutting sections of the root and provides only sparse sampling in the third dimension. Ancient<br>teeth are often unique specimens that should not be damaged. In this imaging study, we show that extended-field<br>synchrotron radiation-based microtomography can be used to provide true micrometer resolution and full<br>coverage of the tooth for non-destructively surveying ancient teeth for incremental layers. To rapidly review the<br>root cementum layer of four teeth from an early 19th century cemetery with historical records of life events, we<br>developed a method for automatically enhancing incremental lines on virtual slices and for detecting regions with<br>strong incremental line appearances. Surveying large regions of the root cementum avoids missing high-contrast<br>incremental lines and hence improves TCA analysis as an alternative to irreversible slicing of the unique teeth.</p> <h3>Data</h3> <p>The repository contains the microtomography data from four teeth to enable reproducing Figures 6a,c,e,f in the associated publication, Tanner et al., "Extended-field synchrotron microtomography for non-destructive analysis of incremental lines in archeological human teeth cementum". Proceedings of SPIE 11840 (2021) 1184019. DOI: <a href="https://doi.org/10.1117/12.2595180" target="_blank" rel="noopener">10.1117/12.2595180</a>. Each dataset contains 57 tif slices around the selected slice selZ, i.e. selZ-28:selZ+28, as stated below.</p> <table> <tbody> <tr> <td><strong>Fig.</strong></td> <td><strong>Dataset</strong></td> <td><strong>Tooth</strong></td> <td><strong>selZ</strong></td> <td><strong>Slices</strong></td> <td><strong>sampleIdx</strong></td> <td><strong>hs</strong></td> <td><strong>Directory</strong></td> </tr> <tr> <td>6a</td> <td>tooth4_hs04_reco_selZ715.tar.gz</td> <td>T1</td> <td>715</td> <td>687:743</td> <td>2</td> <td>4</td> <td>dataDir1</td> </tr> <tr> <td>6c</td> <td>zahn_OKreC_probe1_hs02_reco_selZ1730.tar.gz</td> <td>T2</td> <td>1730</td> <td>1702:1758</td> <td>5</td> <td>2</td> <td>dataDir2</td> </tr> <tr> <td>6e</td> <td>zahn_probe1_hs04_reco_selZ275.tar.gz</td> <td>T3</td> <td>275</td> <td>247:303</td> <td>4</td> <td>4</td> <td>DataDir2</td> </tr> <tr> <td>6f</td> <td>zahn35_probe2_hs02_reco_selZ275.tar.gz</td> <td>T4</td> <td>275</td> <td>247:303</td> <td>3</td> <td>2</td> <td>dataDir1</td> </tr> </tbody> </table> <h3>Processing</h3> <p>Incremental teeth lines can be enhanced via the MATLAB programs available in the github repository <a href="https://github.com/unibas-bmc/enhanceIncrementalTeethLines">unibas-bmc/enhanceIncrementalTeethLines</a>.</p> <p>Please extract the data from <em>name</em>.tar.gz via unix command "tar -xzvf <em>name</em>.tar.gz" . Place the .tif files called reco_????.tif in directory "dataDir1" or "dataDir2" (see last column in table) using subdirectories based on the tooth name and heightstep, e.g. "tooth4_hs04/reco/" for dataset "tooth4_hs04_reco_selZ715.tar.gz". Then set the "sampleIdx" and "hs" parameter in "dataParameterDefinitionTeeth.m" as stated in the table above. Finally run "extractCementumPatchesEnhanceIL.m" to process the data.</p> <h3>Note</h3> <p>We are grateful for beamtime access at the Synchrotron SOLEIL, ANATOMIX beamline (experiment no. 20200712). ANATOMIX is an Equipment of Excellence (EQUIPEX) funded by the Investments for the Future program of the French National Research Agency (ANR), project NanoimagesX, grant no. ANR-11-EQPX-0031. </p> <p>We also thank the Citizen Science Project BBS “Bürgerforschungsprojekt Basel-Spitalfriedhof” for their time-consuming voluntary research regarding the historical sources of the samples.</p>
Raw data for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor" (Part. 1)
<p>Raw data for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor" (Part. 1). For usage, please refer to https://github.com/freemercury/Widefield_wavefront_sensor.</p>
Enhancing Full Waveform Inversion of Field GPR Data: A Source-Independent Approach with Dynamic Reference Selection via SE-Wave-U-Net
<p>Data presented in the manuscript titled 'Enhancing Full Waveform Inversion of Field GPR Data: A Source-Independent Approach with Dynamic Reference Selection via SE-Wave-U-Net'</p>
Raw data for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor" (Part. 2)
<p>Raw data for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor" (Part. 2). For usage, please refer to https://github.com/freemercury/Widefield_wavefront_sensor.</p>
Data for: Bounds on the mass of superradiantly unstable scalar fields around Kerr black holes
<p>Datasets associated with the article <strong>Bounds on the mass of superradiantly unstable scalar fields around Kerr black holes</strong>, arXiv:2405.01003 [gr-qc]. The file datasets.zip contains four subfolders. Each subfolder includes a readme file that provides a description of the datasets. A brief description of each subfolder is given below:</p> <p>1) Folder "notebooks" contains minimal Mathematica notebooks that compute scalar clouds and superradiant instabilites of a Kerr black hole</p> <p>2) Folder "clouds" contains data for the mass of the scalar cloud as a function of the spin of the black hole</p> <p>3) Folder "max_instability" contains data for the peak of superradiant instabilities as a function of the spin of the black hole</p> <p>4) Folder "parameters" contains parameters for an analytical function that fits the numerical values of the mass of the scalar clouds of a Kerr black hole </p>
Additional raw video and pose estimation data of top view open field mouse behavior recordings after diazepam injections
<p>This repository contains raw data for 32 different open field recordings of mice. These include top view raw video .mp4 files (Videos.zip and Videos_2.zip) and the corresponding .csv pose estimation data (data.zip) obtained with DeepLabCut. The data is from a single diazepam injection experiment at Roche, where animals were injected with saline, 1 mg/kg, 2 mg/kg or 3 mg/kg of diazepam. The METADATA_ROCHE.csv or METADATA_ROCHE.xlsx files contain all grouping variables and help linking the pose estimation files (located in data/) to the video files. Visit https://github.com/ETHZ-INS/BehaviorFlow to find out more about how we have used this data.</p>
DFT torsiondrive data for: MACE-OFF23: Transferable Machine Learning Force Fields for Organic Molecules
<p>MACE-OFF23: Transferable Machine Learning Force Fields for Organic Molecules</p> <div><a href="https://arxiv.org/search/physics?searchtype=author&query=Kov%C3%A1cs,+D+P">Dávid Péter Kovács</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Moore,+J+H">J. Harry Moore</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Browning,+N+J">Nicholas J. Browning</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Batatia,+I">Ilyes Batatia</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Horton,+J+T">Joshua T. Horton</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Kapil,+V">Venkat Kapil</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Witt,+W+C">William C. Witt</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Magd%C4%83u,+I">Ioan-Bogdan Magdău</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Cole,+D+J">Daniel J. Cole</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Cs%C3%A1nyi,+G">Gábor Csányi </a><a href="https://doi.org/10.48550/arXiv.2312.15211">https://doi.org/10.48550/arXiv.2312.15211</a></div> <p> </p> <p>Supporting data including raw outputs from SPICE consistent torsion drives on the TorsionNet500 and OpenFF Biaryl datasets and HDF5 versions formated to be consistent with the rest of the SPICE dataset. See the <a href="../records/10975225">SPICE release</a> for more details. </p>
Supplementary data to "Quantum-critical properties of the one- and two-dimensional random transverse-field Ising model from large-scale quantum Monte Carlo simulations"
<p>This dataset contains the data used to generate the results in the work "Quantum-critical properties of the one- and two-dimensional random transverse-field Ising model from large-scale quantum Monte Carlo simulations" [1].</p> <p>processed_data.zip contains the data used for the figures shown in [1], while raw_data.zip contains the original simulation results without further processing.</p> <p>To get an overview of the organization of the directories and a description of the data we recommend the README files in the top- and subdirectories.</p> <p>[1] C. Krämer et al., Quantum-critical properties of the one- and two-dimensional random transverse-field Ising model from large-scale quantum Monte Carlo simulations, <a href="https://doi.org/10.48550/arXiv.2403.05223">10.48550/arXiv.2403.05223</a>, 2024</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.