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.
363
datasets available to search
ShareScore release 0.9.0
Dataset results
363 results for “harmonics”
Deep-Learning-Based Harmonization and Super-Resolution of Near-Surface Air Temperature from CMIP6 Models (1850-2100)
<p>A long-term (1850-2100) monthly air temperature (tas) product with a spatial resolution of 0.5 degree. This is a merged product from 31 CMIP6 models using the Deep-learning model which reduce bias, spatial downscaling and data merge at the same time,. To facilitate user-friendly access and download the dataset is stored individually for each year in a separate file. These files contain one historical data (1850-2014) , four future scenarios data during 2015-2100 (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) and four future scenarios data in Australia . The dataset is stored in NetCDF format, containing the variable tas, representing air temperature, produced in centigrade (℃) as a unit. There are three dimensions included in the dataset: longitude, latitude, and time, with the longitude ranging from -179.75E to 179.75E, the latitude from -89.75N to 89.75N. </p>
Query dan Perspektif Bloom untuk "Analisis Data Paradise Papers Indonesia Menggunakan Algoritma Strongly Connected Components dan Harmonic Centrality"
<p>Query dan Perspektif Bloom untuk "Analisis Data Paradise Papers Indonesia Menggunakan Algoritma Strongly Connected Components dan Harmonic Centrality"</p>
Statistical data for "Van Allen Probes Observations of Oxygen Ion Cyclotron Harmonic Waves: Statistical Study "
<p>This file contains parameters for the identified oxygen ion cyclotron harmonic (OCH) waves observed by Van Allen Probes. The meaning of each column is shown as follows.</p> <p>Column #1: the name of Van Allen Probe, A or B.</p> <p>Column #2: event start day</p> <p>Column #3: event end day</p> <p>Column #4: event start hour</p> <p>Column #5: event strat minute</p> <p>Column #6: event end hour</p> <p>Column #7: event end minute</p> <p>Column #8: MLT, columns(t, MLT)</p> <p>Column #9: MLAT, columns(t, MLAT)</p> <p>Column #10: L-shell, columns(t, L-shell)</p> <p>Column #11: lower frequency limit</p> <p>Column #12: upper frequency limit</p> <p>Column #13: distance to the plasmapause, the positive and negative values correspond to outside and inside the plasmapause, respectively.</p> <p>Column #14: wave normal angle, columns (t, WNA)</p> <p>Column #15: the ratio of the frequency spacing between two consecutive wave harmonics to the local oxygen ion gyrofrequency. </p> <p>Column #16: root-mean-square amplitude, columns(t, Bw)</p> <p>Column #17: AE*</p>
Database containing harmonized datasets - FAIRWAY Project Deliverable 3.3
<p>A database has been developed and delivered during the <a href="https://www.fairway-project.eu/">FAIRWAY project</a>. This database was developed as a response to the need to harmonize datasets and assessment methods related to pressure and state indicators for water quality in the EU member states, in order to compare and assess indicators using a harmonized approach.</p> <p>The dataset that is made available here provides two files:</p> <ul> <li>a <em>public version*</em> of the <strong>Excel database</strong>, which contains <strong>all "tabular" (non-GIS)</strong> data related to the 13 case studies that was gathered for the purposes of FAIRWAY's Monitoring & Indicators research theme. It is structured as one "data sheet" and one "summary sheet" per case study. The data sheets contain various parameters (ideally time-dependent data series i.e. time series) that were used, wherever possible, to compute relevant Agri-drinking water quality indicators (ADWIs) such as "nitrogen budget" (a compound Pressure indicator) or "lag time" (a statistically-inferred Link indicator).</li> <li>a <strong>ZIP folder</strong> containing <strong>all GIS data</strong> gathered for the FAIRWAY's Monitoring & Indicators research theme. The GIS files are grouped in subfolders, by case study, and then by keywords describing the nature of the spatial data.</li> </ul> <p>The Excel database contains near 385,000 rows of data from the 13 case study sites, with more than 65 parameters and more than 500 sub-parameters. The dataset also contains spatial information in a GIS-data zipped folder. The spatial mapping information can be made visible using basic <a href="https://www.qgis.org/en/site/">QGIS</a> project files (.qgz), so that GIS data from each case study can be explored.</p> <p>The indicators database can be used in several ways. It may be used to explore data or to calculate additional indicators. Depending of the case studies’ interests, the most commonly available State indicators are about nitrate and pesticides concentrations in water.</p> <p>From a practical point of view based on its actual content, the database may notably be used to explore statistical relations (or Links) between related Pressure and State indicators. This database can also be used as a spatial mapping portal for other usages.</p> <p>For more information on the database, follow <a href="https://fairway-is.eu/index.php/farm-management/workpackages/harmonised-indicator-database">this link</a>.</p> <p>* Note that this is a <em>public version</em> of the database, which means that all confidential data was removed from the data sheets.</p>
Transient analysis of power loss density with time-harmonic electromagnetic waves in Debye media
<p>Due to the complex permittivity, it is difficult to directly clarify the transient mechanism between electromagnetic waves and Debye media. To overcome above problem, the temporal relationship between the electromagnetic waves and permittivity is explicitly derived by applying the Fourier inversion and introducing the remnant displacement. With the help of the Poynting theorem and energy conservation equation, the transient power loss density is derived to describe the transient dissipation of electromagnetic field and the mechanism on phase displacement has been explicitly revealed. Besides, the unique solution can be obtained by applying the time-domain analysis method rather than involving the frequency-domain characteristics. The effectiveness of transient analysis is demonstrated by giving a comparison simulation on one-dimensional example.</p>
Harmonized remodeled energy system transformation strategies for Germany - additional data
<p>This dataset compares 10 different scenarios for the transformation of the German energy system by 2050. These scenarios were used in the <a href="https://www.innosys-projekt.de">InNOSys project</a> as a starting point for a multidimensional impact assessment and evaluation of different transformation strategies (see also <a href="https://www.mdpi.com/2071-1050/13/9/5217">https://www.mdpi.com/2071-1050/13/9/5217</a>).<br> As a source of inspiration for these scenarios, 10 different transformation strategies were used, as published for Germany in 2012-2018. However, for the present document, the original scenarios were re-modeled in a harmonized way.</p> <p>An additional documentation of the scenarios is also available on ZENODO. </p>
Dataset for publication "Measuring Harmonics With Inductive Voltage Transformers in Presence of Subharmonics"
<p>This is a dataset for paper published:</p> <p>G. Crotti, G. D’Avanzo, P. S. Letizia and M. Luiso, "Measuring Harmonics With Inductive Voltage Transformers in Presence of Subharmonics," in <em>IEEE Transactions on Instrumentation and Measurement</em>, vol. 70, pp. 1-13, 2021, Art no. 9005013, doi: 10.1109/TIM.2021.3111995.</p> <p> </p> <p>Excel file provides data for Figures from 9 to 16.</p>
Spherical harmonic model of the shape of Mars: MarsTopo719
<p><strong><em>THIS MODEL IS SUPERSEDED BY </em><a href="../records/10794059"><em>Spherical harmonic models of the shape of Mars</em></a></strong></p> <p> </p> <p><strong>MarsTopo719.shape</strong> is a spherical harmonic model of the shape of the planet Mars. This model makes use of 4-pi normalized spherical harmonic functions that exclude the Condon-Shortley phase factor of (-1)<sup>m</sup>. The description of how this spherical harmonic model was constructed can be found in Wieczorek (2015). <strong>MarsTopo719.shape</strong> is a truncated version of <strong>MarsTopo2600.shape</strong>.</p>
Spherical harmonic models of the gravitational field and shape of (101955) Bennu
<p>Provided are (i) three types of spherical harmonic models of the gravitational field of Bennu, (ii) reference gravitational data and (iii) a spherical harmonic model of Bennu's shape. The gravitational field models and the reference data were obtained by gravity forward modelling using a degree-15 spherical harmonic expansion of Bennu's shape and a constant mass density.</p> <p>The datasets have been published in Bucha, B., Sanso, F., 2021. <em>Gravitational field modelling near irregularly shaped bodies using spherical harmonics: a case study for the asteroid (101955) Bennu</em>. Journal of Geodesy, 95, 56, <a href="https://link.springer.com/article/10.1007/s00190-021-01493-w">https://link.springer.com/article/10.1007/s00190-021-01493-w</a></p>
Geo-Harmonized PM2.5 maps over Europe for the years 2018-2020
<p>A space-time extremely randomised trees model was used to estimate daily (between 10 a.m. and 2 p.m.) PM<sub>2.5</sub> concentrations with 1 km spatial resolution for a three-year period 2018–2020 over Europe.<br> Satellite remote sensing, meteorological data, and land variables were used as the independent variables, PM<sub>2.5 </sub>ground-observations were used as the dependent variable while building the model.</p> <p> </p> <p> </p>
Spherical harmonic models of the gravitational field implied by the Moon's topographic masses
<p>Provided are 12 spherical harmonic models of the gravitational field implied by the Moon's topographic masses. The models mitigate the divergence effect of spherical harmonics on the Moon's topography when compared with spectral gravity forward modelling methods. The topographic masses are expanded up to degrees 90, 180, 360 and 720, and the maximum degree of the gravitational models varies from 360 up to 2160. All models are available in the <a href="http://icgem.gfz-potsdam.de/ICGEM-Format-2011.pdf">gfc</a> format as defined by <a href="http://icgem.gfz-potsdam.de">ICGEM</a>. One of the models, <em>STU_Moon_topography_to720_gravity_to2160</em>, can also be accessed from <a href="http://icgem.gfz-potsdam.de/tom_celestial">ICGEM</a>, where it can be find under a shortened name <em>STU_MoonTopo720</em>.</p> <p>The models rely on the Runge-Krarup theorem and enable generally a more accurate evaluation of the gravitational field in the proximity to the lunar topography as compared to the models from spectral gravity forward modelling. This is because the latter ones may suffer from the divergence effect when evaluating the spherical harmonic series on or below the limit sphere encompassing all the gravitating masses (that is, also on the topography).</p> <p>The datasets have been published in Bucha, B., Hirt, C., Kuhn, M., 2019. <em>Divergence-free spherical harmonic gravity field modelling based on the Runge—Krarup theorem: a case study for the Moon</em>. Journal of Geodesy 93, 489-513, <a href="https://doi.org/10.1007/s00190-018-1177-4">https://doi.org/10.1007/s00190-018-1177-4</a></p>
Spherical harmonic models of planetary topography
<p>This archive contains spherical-harmonic shape models of the Moon, Venus, and Mars that were presented in <em>Wieczorek </em>(2015).</p> <p>The individual files can be downloaded separately here:</p> <ul> <li><a href="https://zenodo.org/record/3870922">MarsTopo2600.shape.gz</a></li> <li><a href="https://zenodo.org/record/3870924">MoonTopo2600p.shape.gz</a></li> <li><a href="https://zenodo.org/record/3870926">VenusTopo719.shape.gz</a></li> </ul>
Dataset: Third Harmonic Bio, Inc. (THRD) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Harmonic Inc. (HLIT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 2 in Effect of harmonic radar tagging on Lycorma delicatula (Hemiptera: Fulgoridae) nymphal mobility and survivorship
Fig. 2. The strength of the adhesive bond between the radar tag and the pronotum of Lycorma delicatula in relation to (A) body length and (B) pronotum.
Fig. 4 in Effect of harmonic radar tagging on Lycorma delicatula (Hemiptera: Fulgoridae) nymphal mobility and survivorship
Fig. 4. (A) Jumping distance and (B) time duration from release to jumping of radar-tagged and untagged Lycorma delicatula.
Fig. 1 in Effect of harmonic radar tagging on Lycorma delicatula (Hemiptera: Fulgoridae) nymphal mobility and survivorship
Fig. 1. (A) A 9 mm dipole harmonic radar tag. (B) An example of a 4th instar Lycorma delicatula nymph with a 9 mm dipole harmonic radar tag attached to the pronotum.
Fig. 3 in Effect of harmonic radar tagging on Lycorma delicatula (Hemiptera: Fulgoridae) nymphal mobility and survivorship
Fig. 3. (A) Horizontal distance moved by radar-tagged and untagged Lycorma delicatula in 15 min. (B) Vertical distance climbed by radar-tagged and untagged individuals in 5 min.
NLCD_INEGI: Harmonized US-Mexico Land Cover Change Dataset, 1992/2001/2011
<p>We have taken the Uso del Suelo y Vegetacion land cover classification products for Mexico (courtesy of Mexico's Instituto Nacional de Estadistica y Geografia, or INEGI) for years 1985, 1993, 2002, 2007, and 2011 (INEGI, 2015); harmonized their classes with the classes of the Multi-Resolution Land Characteristics Consortium (MRLC) National Land Cover Database (NLCD) (Homer et al., 2015), and merged the two datasets to form a single land cover product covering the continental US and Mexico, for years 1992/3, 2001/2, and 2011. Details of processing, along with the processing scripts, are archived in GitHub in the <a href="https://github.com/tbohn/NLCD_INEGI/tree/v1.5">NLCD_INEGI</a> project (Bohn, 2019).</p> <p>Output files are ESRI ascii-format raster files, geographic projection, 0.000350884 degree cellsize. Each file contains a 1x1 degree box or "tile", named nlcd_inegi.<em>lat0</em>_<em>lat1</em>n.<em>lon0</em>_<em>lon1</em>w.asc, where <em>lat0</em> and <em>lat1</em> are the south and north boundaries of the box and <em>lon0</em> and <em>lon1</em> are the west and east boundaries (west = positive).</p> <p>This project contains the following g-zipped tar files:</p> <ul> <li>1992.tgz - land cover from 1992 (NLCD) and 1993 (INEGI)</li> <li>2001.tgz - land cover from 2001 (NLCD) and 2002 (INEGI)</li> <li>2011.tgz - land cover from 2011 (both NLCD and INEGI)</li> <li>stable_2001-2011.tgz - land cover from those pixels that had the same class in 2001 and 2011 ("stable" pixels)</li> </ul> <p>On LINUX, the contents of these files can be extracted via "tar":</p> <p>tar -xvzf 1992.tgz >& log.tar.txt</p> <p>On Windows, applications such as "7-zip" can extract the contents.</p> <p>Each of these .tgz files contain a folder with the same name but without the ".tgz". Within each of these folders is a sub-folder called "asc.clip.1deg". This folder contains the 1x1 tiles.</p>
Harmonically-Related Musical Notes
<p>HARMONICALLY-RELATED MUSICAL NOTES.</p> <p>This dataset contains 15 groups of four harmonically-related musical notes extracted from the RWC Musical Instrument Sound Database [1]. The instruments selected are: viola, violin, cello, piano, soprano sax, bassoon, flute, recorder, oboe, horn, alto sax, pipe organ, harp, trumpet, and clarinet. This tracks were used for evaluation of a multipitch estimator proposed in my PhD thesis [2], in Chapter 4, Section 4.4.3, on page 107.</p> <p>[1] M. Goto, H. Hashiguchi, T. Nishimura, and R. Oka, "RWC music database: music genre database and musical instrument sound database," in Proceedings of the 4th International Conference on Music Information Retrieval, pp. 229-230, 2003.</p> <p>[2] Delgado Castro, A. "Iterative separation of note events from single-channel polyphonic recordings". Ph.D. University of York. 2019.</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.