Find research datasets worth reusing

opencc-by-4.0Oct 2021View details →

Derivative products: "IBEX Ribbon Separation Using Spherical Harmonic Decomposition of the Globally Distributed Flux" by Swaczyna et al.

Derivative products from: Swaczyna et al. 2022, "IBEX Ribbon Separation Using Spherical Harmonic Decomposition of the Globally Distributed Flux", ApJS, 258:6

opencc-by-4.0Nov 2022View details →

Dataset for "Harmonic Structure of Lower Hybrid Waves Driven by Energetic Ions at 4000 km Altitude: PIC simulation"

To produce the figures shown in the paper, you can launch Gnuplot and execute the following command: gnuplot> load "(filename).gp" (e.g. load "fig1.gp") For Figs. 1 and 4, you can input the filename in the scripts to produce the figures. For Figs. 2 and 3, you can set a flag variable, flag, as flag=1 to produce the figure in case A or as flag=2 to produce the figure in case B. The label in the plotted figures is the same as in the paper. We prepare CSV files so you can produce the figures with other software.

opencc-by-4.0Nov 2022View details →

Metabolic Databases Harmonization Dataset

The dataset includes compound and reaction data from KEGG, MetaCyc and Human Metabolome Database.

opencc-by-4.0Mar 2022View details →

Dataset for the pubblication "Impact of DC Transient Disturbances on Harmonic Performance of Voltage Transformers for AC Railway Applications"

This is the dataset for the paper published: Letizia, P.S.; Signorino, D.; Crotti, G. Impact of DC Transient Disturbances on Harmonic Performance of Voltage Transformers for AC Railway Applications. Sensors 2022, 22, 2270. https://doi.org/10.3390/s22062270

opencc-by-4.0Jan 2023View details →

Harmonized analysis of microplastics: Insights from practical application within the FACTS project

The pollution of the environment with plastics is of emerging concern. While first initiatives aim to reduce the input of these materials, the already existing amounts pose a problem. Due to degradation and fragmentation the initially large items form micro- and nanoplastic particles. Yet the analysis of these contaminates is hampered due to increasing number of analytical pipelines and tools in the different laboratories. In the recent years, various projects aimed to provide information about these issues at different scales. Here, we present the harmonization procedures derived and applied within the "Fluxes and Fate of Microplastics in Northern European Waters" (FACTS) project. To achieve a project internal harmonization the available sampling techniques, sample extraction methods, quality assurance measures aand protocols as well as analytical techniques were collected, evaluated and finally transferred into commonly agreed harmonized procedures. These procedures were afterwards applied in the planning of a large scale sampling campaign along the Norwegian Coast and within the Bergen Fjord. This was achieved by defining the filter mesh sizes for filtration pumps and sampling nets as well as the amount of sediment sampled. In contrast to sampling, the extraction was more difficult to harmonize yet a common agreement was derived by using Fenton's reagent oxidation for the removal of organic matter and sodium bromide for density separation following the laboratory internal protocol. Finally, the for analysis FTIR microscopy shall be applied using a common database and software tool (siMPle) allowing a following pyrolysis gas chromatography-mass spectrometry (py-GC/MS) analysis. The experience during the application of these protocols within FACTS will be discussed and further contextualized with the results of the "EUROpean Quality Controlled Harmonisation Assuring Reproducible Monitoring and assessment of plastic pollution" (EUROqCHARM) project. Also see: https://micro2022.sciencesconf.org/427364/document

opencc-by-nc-4.0Dec 2022View details →

WorldCereal open global harmonized reference data repository (CC-BY-NC licensed data sets)

Within the ESA funded WorldCereal project we have built an open harmonized reference data repository at global extent for model training or product validation in support of land cover and crop type mapping. Data from 2017 onwards were collected from many different sources and then harmonized, annotated and evaluated. These steps are explained in the harmonization protocol (10.5281/zenodo.7584463). This protocol also clarifies the naming convention of the shape files and the WorldCereal attributes (LC, CT, IRR, valtime and sampleID) that were added to the original data sets. This publication includes those harmonized data sets of which the original data set was published under the CC-BY-NC license or a license similar to CC-BY-NC. See document "_In-situ-data-World-Cereal - license - CC-BY-NC.pdf" for an overview of the original data sets. Currently this publication only includes a few small data sets for Tanzania originating from a disease monitoring program of the International Maize and Wheat Improvement Center (CIMMYT). CIMMYT made more data available for countries like Kenya, Ethiopia, Rwanda and, Malawi. However due project contraints these data sets were not yet harmonized.

opencc-by-4.0Feb 2023View details →

Comparing zero-parameter theories for the WCA and harmonic-repulsive melting lines (data)

This dataset contains data related to the paper titled "Comparing zero-parameter theories for the WCA and harmonic-repulsive melting lines" by Jeppe C. Dyre and Ulf R. Pedersen, with the abstract: The melting line of the Weeks-Chandler-Andersen (WCA) system was recently determined accurately and compared to the predictions of four analytical hard-sphere approximations [Attia \textit{et al.}, J. Chem. Phys. \textbf{157}, 034502 (2022)]. Here, we study an alternative zero-parameter prediction based on the isomorph theory, the input of which relate to properties at a single reference state point on the melting line. The two central assumptions made are that the harmonic-repulsive potential approximates the WCA potential and that pair collisions are uncorrelated. The new approach gives excellent predictions at high temperatures, while the hard-sphere-theory based predictions are better at lower temperatures. Supplementing the WCA investigation, the face-centered-crystal to fluid coexistence line is determined for a system of harmonic-repulsive particles and compared to the zero-parameter theories. The results indicate that the excellent isomorph-theory predictions for the WCA potential at higher temperatures may be partly due to a cancellation of errors between the two above-mentioned assumptions.

opencc-by-4.0Feb 2023View details →

Spherical harmonic model of the gravitational potential of Ganymede from Gomez Casajus et al. (2022)

Ganymede2022 is a spherical harmonic model of the gravitational potential of Ganymede that makes use of data from Galileo and the JUNO extended mission. The data in the file Ganymede2022.sh.gz are identical to those in the submission <a href="../record/6949645">6949645</a> (Gomez Casajus et al. 2022) with the exception that they have been reformatted in a way that facilitates their reading by the python package pyshtools, and the GM has been included (personal communication from the original authors).

opencc-by-4.0Feb 2023View details →

Derivative products from "Spherical Harmonic Representation of Energetic Neutral Atom Flux Components Observed by IBEX" by Swaczyna, Dayeh, & Zirnstein

This dataset includes derivative data products obtained using the method described in: Swaczyna, Dayeh, & Zirnstein (2023), Spherical Harmonic Representation of Energetic Neutral Atom Flux Components Observed by IBEX The products have been derived from IBEX Data Release #16 (https://ibex.princeton.edu/DataRelease16).  <ul> <li>hvset_tabular_ram_cg.zip - results for ram-only Compton-Getting and survival probability corrected IBEX maps</li> <li>hvset_tabular_antiram_cg.zip - results for antiram-only Compton-Getting and survival probability corrected IBEX maps</li> </ul> Each archive includes the following files: <ul> <li>com_flux_yyyy_esa_e.txt - reconstructed flux map from spherical harmonic coefficients using the standard IBEX pixelization</li> <li>com_fvar_yyyy_esa_e.txt - reconstructed flux variance map from spherical harmonic coefficients using the standard IBEX pixelization</li> <li>com_ylm_coeff_yyyy_esa_e.txt - coefficients of the spherical harmonic representation</li> <li>com_ylm_mat_yyyy_esa_e.txt - covariance matrix providing uncertainties of the coefficients</li> <li>mask_ribbon_esa_e.txt - ribbon mask</li> <li>matrix_y.txt - matrix transforming the spherical harmonic coefficients into values in IBEX pixels</li> </ul> where: <ul> <li>com - indicate the included component of the ENA flux: <ul> <li>gdf - Globally DIstirbuted Flux</li> <li>rib - IBEX ribbon</li> <li>tot - both components (total maps)</li> </ul> </li> <li>e - enumerates IBEX energy steps (e = 2, 3, ... 6)</li> <li>yyyy - indicates map year (yyyy = 2009, 2010, ..., 2019 or 'single' for the time-combined map)</li> </ul>

openAug 2023View details →

Dataset of "A Metabolites Merging Strategy (MMS): Harmonization to enable studies intercomparison"

Metabolomics encounters challenges in cross-study comparisons due to diverse metabolite nomenclature and reporting practices. To bridge this gap, we introduce the Metabolites Merging Strategy (MMS), offering a systematic framework to harmonize multiple metabolite datasets for enhanced interstudy comparability. MMS has three steps. Step 1: Translation and merging of the different datasets by employing InChIKeys for data integration, encompassing the translation of metabolite names (if needed). Followed by Step 2: Attributes' retrieval from the InChIkey, including descriptors of name (title name from PubChem and RefMet name from Metabolomics Workbench), and chemical properties (molecular weight and molecular formula), both systematic (InChI, InChIKey, SMILES) and non-systematic identifiers (PubChem, CheBI, HMDB, KEGG, LipidMaps, DrugBank, Bin ID and CAS number), and their ontology. Finally, a meticulous three-step curation process is used to rectify disparities for conjugated base/acid compounds (optional step), missing attributes, and synonym checking (duplicated information). The MMS procedure is exemplified through a case study of urinary asthma metabolites, where MMS facilitated the identification of significant pathways hidden when no dataset merging strategy was followed. This study highlights the need for standardized and unified metabolite datasets to enhance the reproducibility and comparability of metabolomics studies.

Harmonic ACE®+7 Shears in Laparoscopic Colectomy

ClinicalTrials.gov study NCT02248246. IPD Sharing: Not stated. Countries: 3. Publications: 1.

Harmonic ACE®+7 Shears in Laparoscopic Hysterectomy

ClinicalTrials.gov study NCT02278640. IPD Sharing: Not stated. Countries: 3. Publications: 1.

Harmonizing Outcomes With Revascularization and Stents in Acute Myocardial Infarction

ClinicalTrials.gov study NCT00433966. IPD Sharing: Not stated. Countries: 1. Publications: 48.

HARMONEE - Japan-USA Harmonized Assessment by Randomized, Multi-Center Study of OrbusNEich's Combo StEnt

ClinicalTrials.gov study NCT02073565. IPD Sharing: Not stated. Countries: 2. Publications: 2.