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Supporting Data for "Coupling trapped ions to a nanomechanical oscillator"

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ROM data and code for Dakar Niño variability under global warming investigated by a high-resolution regionally coupled model

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[data]Pollution source detection with low-cost low-accuracy sensors through coupling forward data assimilation and inverse optimization

The data used in the case study(Cases-S1,S2,S3)in manuscript "Pollution source detection with low-cost low-accuracy sensors through coupling forward data assimilation and inverse optimization"

Vibrational Probe at the Electrochemical Interface: Dependence on Plasmon Coupling and Potential on the Lineshape in Two-Dimensional Infrared Spectroscopy

These files contain the data presented in the research article:  Vibrational Probe at the Electrochemical Interface: Dependence on Plasmon Coupling and Potential on the Lineshape in Two-Dimensional Infrared Spectroscopy by Melissa Bodine, Vepa Rozyyev, Jeffrey W. Elam, Andrei Tokmakoff and Nicholas H. C. Lewis J. Phys. Chem. Lett., (2023)

Magnetoresistive-coupled transistor using the Weyl semimetal NbP

On-chip magnetic field-induced modulation of the resistance of a Weyl semimetal.

Dataset of 'Development of a total variation diminishing (TVD) Sea ice transport scheme and its application in in an ocean (SCHISM v5.11) and sea ice (Icepack v1.3.4) coupled model on unstructured grids'

As a dataset of the paper "Development of a total variation diminishing (TVD) Sea ice transport scheme and its application in in an ocean (SCHISM v5.11) and sea ice (Icepack v1.3.4) coupled model on unstructured grids" , this dataset includes all configuration files of the idealized case and realistic test on the Arctic Ocean and the source code.

Dataset for "Enhanced Regional Ocean Ensemble Data Assimilation Through Atmospheric Coupling in the SKRIPS Model"

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Coupling deep learning and physically-based hydrological models for monthly streamflow predictions

Revision in journal Water Resources Research, Manuscript number: 2023WR035618R Abstract: This study proposes a new hybrid model for monthly streamflow predictions by coupling a physically-based distributed hydrological model with a deep learning (DL) model. Specifically, a simplified hydrological model is first developed by optimally selecting grid cells from a distributed hydrological model according to their soil moisture characteristics. It is then driven by bias corrected general circulation model (GCM) predictions to generate soil moistures for the forecasting months. Finally, model-simulated soil moisture along with other predictors from multiple sources are used as inputs of the DL model to predict future monthly streamflows. The proposed hybrid model, using the simplified Variable Infiltration Capacity (VIC) as the hydrological model and the combination of Convolutional Neural Network and Gated Recurrent Unit (CNN-GRU) as the DL model, is applied to predict 1-, 3-, and 6-month ahead reservoir inflows for the Danjiangkou Reservoir in China. The results show that the hybrid model consistently performs better than VIC and CNN-GRU models with great improvement in Kling‐Gupta efficiency (KGE) values for lead times up to 6 months. Additional tests indicate that hybrid models based on CNN-GRU outperform those based on LASSO, XGBoost, CNN, and GRU models. Moreover, compared with the distributed hydrological model, the hybrid model greatly reduces the computation burden of rolling prediction. It also saves decision-makers the time and effort of trying different combinations of predictors, which is indispensable when building DL models. Overall, the new hybrid model demonstrates great potential for monthly streamflow prediction where training data are limited. Keywords: monthly streamflow prediction; deep learning; physically-based distributed hydrological model; VIC model; soil moisture; hybrid model

Data Analysis for: Coupling Cell Size Regulation and Proliferation Dynamics for C. glutamicum Reveals Cell Division Based on Surface Area

<div>Data and methods of Data Analysis of: Coupling Cell Size Regulation and Proliferation Dynamics of</div> <div>C. glutamicum Reveals Cell Division Based on Surface Area</div> <div> </div> <div>Authors: Cesar Nieto and Zahra Vahdat at University of Delaware (2023)</div> <div>Correspondence: cnieto@udel.edu.</div> <div> </div> <div> </div>

Coupled Thermosphere-Ionosphere Tongue-like Structure During the Recovery Phase of the Geomagnetic Storm on May 12, 2021

The file named 'Indices' includes Kp, F10.7p, By and Bz indices, AE and Dst indices, which are used to plot Figure 1. The file named 'GOLD_131',  'GOLD_132' and 'GOLD_133' include the parameters of O/N2 and temperature from GOLD observations, which are used to plot for Figures 2 and S1. The file named 'GPS_131',  'GPS_132' and 'GPS_133' include the parameters of TEC from GPS observations, which are used to plot for Figures 4 and S2. The file named 'TIEGCM_131' and 'TIEGCM_133' includes O/N2, Temperature, horizontal winds, TEC and diagnostic analysis terms of O+ density from the TIEGCM simulations on DOY 131 and 133 in 2021, which are used to plot for Figures 3 and 4, Movie S1 and S2.

opencc-by-4.0Jan 2024View details →

The evaluation data and source codes of a new conceptual coupled Earth system model and the MOC box model.

The dataset contains the results of a conceptual Atmosphere-Ocean-Ice-Land coupled Earth system model and a MOC box model and the evaluation data of their.

opencc-by-4.0Jan 2024View details →

Twist - torsion coupling in beating axonemes

The dataset published here was used to measure a high resolution 3D wavefom of isolated and reactivated axonemes from Chlamydomonas reinhardtii. <a href="https://doi.org/10.1101/2024.03.18.585533">doi: https://doi.org/10.1101/2024.03.18.585533 </a> It was further used to show twist-torsion coupling in these axonemes. The data is organized in six folders: 1) high resoluton 3D averaged waveform of isolated and reactivated axonemes from Chlamydomonas Reinhardtii. Data files (MATLAB and txt format) contain the 3D coordinates (along the 3D arc-length) of 32 axonemal shapes that comprise one beat cycle. A corresponding txt file describes the details of the dataset.  2) 3D waveforms of single isolated and reactivated axonemes from Chlamydomonas Reinhardtii. Data files (MATLAB and txt format) contain the 3D shapes of 17 individual axonemes obtained from defocused darkfield-microsopy images. A corresponding txt file describes the details of the dataset. 3) Image Raw Data of single isolated and reactivated axonemes used to reconstruct the 3D waveform Movie files (multi-layer tif) of reactivated axonemes imaged with defocused-darkfield-microscopy. A corresponding txt file describes the details of the dataset. 4) Calibration of defocused darkfield-microscopy.  Data file (MATLAB) contains the relationship between the z-position relative to the focal plane and the full-width-at-half-maximum (FWHM) of the axoneme signal, measured normal to the centerline as well as the z-stack of imges (multi-layer tif) used to extract this relation. A corresponding txt file describes the details of the dataset. 5) Distance between gold nano paricle (GNP) and the axonemal centerline as a function of the beat cycle Data file (MATLAB) contains 20 measurements of d_C (where d_C is the normal distance between the center position of the GNP and the axoneme centerline in 2D images) as a function of time. A corresponding txt file describes the details of the dataset. 6) Image Raw Data of single isolated and reactivated axonemes with attached GNPs used to measure d_C.  Movie files (multi-layer tif) of reactivated axonemes with attached gold nano particles (GNPs) imaged with darkfield-microscopy. A corresponding txt file describes the details of the dataset.

opencc-by-4.0Feb 2024View details →

Data for "Interplay of magnetic order and ferroelasticity in the spin-orbit coupled antiferromagnet K2ReCl6" published in PRB 109, 094409 (2024)

The manuscript of paper is also available on arXiv:2207.11101 The manuscript of this <a href="https://doi.org/10.1103/PhysRevB.109.094409">Phys. Rev. B paper</a> is also available on arxiv <a href="https://arxiv.org/abs/2207.11101">2401.03064</a>.

openMar 2024View details →

Acoustic feedback tendency in hearing aids for different types and couplings in relation to insertion gain

To make signals audible again for hearing impaired people, hearing aids pick up the sounds with a microphone amplify them and play them back in the ear canal. Parts of the amplified output signal return to the microphone by an acoustic pathway. Depending on the selected amplification, this can result in 'critical feedback', which limits the maximum possible amplification of hearing aids.  The Insertion-Gain-Related Feedback Path (IFP) was introduced to characterize the acoustic feedback path. It describes the frequency-dependent gain that a hearing aid can provide until a critical feedback condition becomes possible. In addition to the feedback signal, the IFP also takes the Real Ear Unaided Gain (REUG), the Microphone Location Effect (MLE) and the hearing aid transmission to the eardrum into account. Technical measurements were used in this work, including the use of hearing aid dummies and probe microphones. This was used to determine the IFPs in 28 test subjects' ears. This data is freely available.

opencc-by-4.0Mar 2024View details →

Data for A weak coupling mechanism for the early steps of the recovery stroke of myosin VI: a free energy simulation and string method analysis

Representative frames, topology for MD simulation with NAMD and GROMACS, data and notebook to reproduce analyses in the paper "A weak coupling mechanism for the early steps of the recovery stroke of myosin VI: a free energy simulation and string method analysis" (Blanc, Houdusse, Cecchini, PLOS Computational Biology 2024).

opencc-by-4.0Apr 2024View details →

Integrating the interconnections between groundwater and land surface processes through the coupled NASA Land Information System and ParFlow environment

This is a dataset used in the paper entitled "Integrating the interconnections between groundwater and land surface processes through the coupled NASA Land Information System and ParFlow environment" by Maina et al., 2024

Data for Observation of 1H-1H J-couplings in fast magic-angle-spinning solid-state NMR spectroscopy

Supporting data for Observation of 1H-1H J-couplings in fast magic-angle-spinning solid-state NMR spectroscopy. Raw and processed NMR data and fitting codes. See individual README.txt in each zip file for details.

Stability of algebraic spin liquids coupled to quantum phonons

Algebraic spin liquids are quantum disordered phases of insulating magnets which exhibit fractionalized gapless excitations and power-law correlations.  Quantum spin liquids in this category include the experimentally established 1D Luttinger liquid, as well as the U(1) Dirac spin liquid (DSL) which has been a focus of recent candidate materials searches. Most notably, several exchange-frustrated Heisenberg materials on the triangular lattice have shown evidence of the U(1) DSL. In this work, we measure the algebraic correlations of spin-singlet excitations in the $J_1$–$J_2$ antiferromagnetic Heisenberg model on the triangular lattice, prompting a detailed investigation of this model's stability under spin-phonon coupling using variational Monte Carlo. As seen before in 1D spin chains, we observe a low-temperature transition from a U(1) DSL to valence bond order and predict the parameter regime where the model realizes a stable DSL ground state. To achieve this, we employ a series of finite-size scaling Ansätze inspired by the low-energy DSL's conformal description in terms of quantum electrodynamics, and show that emergent monopole operators drive the instability. We compare the physics of this transition to the 1D Luttinger liquid throughout our analysis. We derive the regime of stability against spin-Peierls ordering and argue that the DSL ground state might still be achievable in candidate materials, despite its tendency to valence bond solid ordering.

Surface Kinetic energy from MITgcm-GEOS5 Coupled Ocean-Atmosphere Simulation

Annual mean of surface kinetic energy computed from MITgcm-GEOS5 coupled ocean-atmosphere simulation, with a spacing grid of 4 km. The temporal coverage for the annual mean spans from March 01, 2020, to March 01, 2021.

Global patterns and drivers of coupling between anammox and denitrification processes across inland aquatic ecosystems

Here, we reported a dataset regarding global anammox and denitrification rates from inland aquatic ecosystems.