Find research datasets worth reusing

opencc-by-4.0Feb 2024View details →

Data and code for "Large-scale remote sensing analysis reveals an increasing coupling of grassland vitality to atmospheric water demand"

Data and code for  "Large-scale remote sensing analysis reveals an increasing coupling of grassland vitality to atmospheric water demand" All R code used for the analysis is provided in the folder code.  Data and intermediate results are provided or stored in the folders data and tmp_data. All results including figures will be stored in the folder results.  R version: 4.3.1 To carry out the entire analysis the code should be run in the provided order: 1) Code to run non-metric multidimensional scaling (NMDS) for habitat groups and  produce Fig. 1b (habitat map and legend for Fig 1a: data/eunis_gl_habitat_ger_990m.tif,eunis_gl_habitat_ger_990m_legend.clr)   2) Code to generate grassland vitality maps and time series from 1985 to 2021 (Fig. 3).  Grassland vitality maps on 30m for all grasslands in Germany provided in data/glv_1985-2021.zip. 3) Code to model relation of grassland vitality to five drought indices (VPD, temperature, CWB, soil moisture, precipitation), output are Fig. 4, Fig. S1, Tab. 1. 4) Code for trend analysis of drought sensitivity based on 5-, 10-, and 15-year moving windows, output are Fig. 5, Fig. S2.  5) Code to model drought sensitivity of grassland habitat groups and habitat types, output are Fig. 6 and table with sensitivity per habitat type.

opencc-by-4.0Sep 2023View details →

Hop Flower Supercritical Carbon Dioxide Extracts Coupled with Carriers with Solubilizing Properties—Antioxidant Activity and Neuroprotective Potential

Article, Dataset for article   <h1>Hop Flower Supercritical Carbon Dioxide Extracts Coupled with Carriers with Solubilizing Properties—Antioxidant Activity and Neuroprotective Potential</h1>   <h2>Abstract</h2> <div>Lupuli flos shows many biological activities like antioxidant potential, extended by a targeted effect on selected enzymes, the expression of which is characteristic for neurodegenerative changes within the nervous system. Lupuli flos extracts (LFE) were prepared by supercritical carbon dioxide (scCO2) extraction with various pressure and temperature parameters. The antioxidant, chelating activity, and inhibition of acetylcholinesterase (AChE), butyrylcholinesterase (BChE), and tyrosinase by extracts were studied. The extracts containing ethanol were used as references. The most beneficial neuroprotective effects were shown by the extract obtained under 5000 PSI and 50 °C. The neuroprotective effect of active compounds is limited by poor solubility; therefore, carriers with solubilizing properties were used for scCO2 extracts, combined with post-scCO2 ethanol extract. Hydroxypropyl-β-cyclodextrin (HP-β-CD) in combination with magnesium aluminometasilicate (Neusilin US2) in the ratio 1:0.5 improved dissolution profiles to the greatest extent, while the apparent permeability coefficients of these compounds determined using the parallel artificial membrane permeability assay in the gastrointestinal (PAMPA GIT) model were increased the most by only HP-β-CD.</div> <div> <div> <div>Keywords: </div> <a href="https://www.mdpi.com/search?q=neuroprotection">neuroprotection</a>; <a href="https://www.mdpi.com/search?q=hop+strobile">hop strobile</a>; <a href="https://www.mdpi.com/search?q=inhibition+of+enzymes">inhibition of enzymes</a>; <a href="https://www.mdpi.com/search?q=xanthohumol">xanthohumol</a></div> </div>

Pylake example: Active calibration bead-bead coupling data

A dataset acquired on a LUMICKS C-Trap used to demonstrate coupling between beads in active calibration. The dataset contains dual trap data with 2.1 micron beads captured in each trap. Files starting with bead1, bead2, bead3 are different bead pairs, while bead4, bead4b and bead4c contain technical replicates for a fourth bead.

Observations of a PT-like phase transition and limit cycle oscillations in non-reciprocally coupled optomechanical oscillators levitated in vacuum

Trajectories of optically levitated particles in vacuum. Trajectories are recorded using quadrant photodiode and ultra-fast CMOS camera. The readme file with more detailed description is added.

Data and scripts (2) for Storkey et al, "Resolution dependence of interlinked Southern Ocean biases in global coupled HadGEM3 models", GMD (2024)

================================================================  Data and scripts for producing plots from Storkey et al (2024):  "Resolution dependence of interlinked Southern Ocean biases in  global coupled HadGEM3 models"  ================================================================ The plots in the paper consist of 10-year mean fields from the third  decade of the spin up and timeseries of scalar quantities for the first 150 years of the spin up. The data to produce these plots are stored in the MEANS_YEARS_21-30 and TIMESERIES_DATA directories respectively. Note that due to the size limit on records on Zenodo, the 10-year mean  output from the N216-ORCA12 integration has been stored as a separate record. Scripts to produce the plots are in SCRIPT, with section definitions in SECTIONS. Bespoke plotting scripts are included in SCRIPT. They use python 3 including the Matplotlib, Iris and Cartopy packages. The  plotting of the timeseries data used the Marine_Val VALSO-VALTRANS  package which is available here:  https://github.com/JMMP-Group/MARINE_VAL/tree/main/VALSO-VALTRANS  Much of the processing of the model output data was performed with the CDFTools package, which is available here:  https://github.com/meom-group/CDFTOOLS and the NCO package:  https://web.mit.edu/course/13/13.715/nco-2.8.1/doc/

opencc-by-4.0Jan 2024View details →

Data from: Coupled vertical double quantum dots at single-hole occupancy

Figures and Data for the paper "Coupled vertical double quantum dots at single-hole occupancy" by A. Ivlev and H. Tidjani et al. See Readme file for details on replotting the figures.

Simulations of PKA RIα Homodimer Reveal cAMP-coupled Conformational Dynamics of Each Protomer and the Dimer Interface with Functional Implications

Protein kinase A (PKA) is a ubiquitous cAMP-dependent enzyme in mammalian tissues. The inactive PKA holoenzyme disassociates into a homodimer of regulatory (R) subunits and two active catalytic (C) subunits upon cAMP binding to two tandem domains (termed CBD-A and CBD-B) in R subunits. The release of cAMP facilitates reassociation of R and C subunits, resetting PKA to its basal state. The cAMP-mediated structural changes in the activation-termination cycle remain partially understood. The multimeric states of PKA complicate the issue and are particularly less studied. Therefore, we computationally investigate the conformational dynamics of PKA RIa homodimer in different cAMP-bound states. The absence of cAMP in two CBDs affect differently the conformational dynamics of protomers. Moreover, such disparate responses are extended to the dimer interface constituted by the N-terminal helical sub-domains termed N3A motifs. The removal of cAMP from CBD-A induces large-scale structure changes of individual R subunits towards the holoenzyme state, consist with previous simulations of a single R subunit. Meanwhile it keeps the structural heterogeneity of the N3A-N3A' dimer interface observed in the fully bound state. By contrast, the removal of cAMP from CBD-B does not affect individual R subunits but alters the conformational space of the N3A-N3A' dimer interface. The cAMP-coupled structural changes of each protomer and conserved conformational space of the N3A-N3A' dimer interface are essential for the transition between the fully cAMP-bound R2 homodimer and the R2C2 holoenzyme as suggested by their crystal structures. Our work provides structural insights into the regulatory mechanism of cAMP in PKA signaling.

Neurovascular coupling and CO2 interrogate distinct vascular regulations

This repository complements our publication entitled "<a href="https://www.nature.com/articles/s41467-024-49698-9" target="_blank" rel="noopener">Neurovascular coupling and CO2 interrogate distinct vascular regulations</a>" published in Nature Communications. It provides: <ul> <li>the Matlab scripts used to fit model functions on our data and determine the onsets of the responses,</li> <li>the data used to generate the main figures and the supplementary figures of the publication (Excel file).</li> </ul> Compatibility: These scripts have been tested with MATLAB 2018a and 2022b on Windows 10 & 11.

2D Array of Pulse Coupled Oscillators Driving Cilia to Demonstrate Metachronal Waves

The video demonstrates  metachornal waves from an 2D array of delay locked pulse coupled oscillators, each mapping to a cilia. Within the triangle structure, the oscillators are coupled to their nearest neighbors.

opencc-zeroJun 2024View details →

dryad36/100

Coupled PPE model output - land parameter impacts on the mean climate state

Terrestrial processes influence the atmosphere by controlling land-to-atmosphere fluxes of energy, water, and carbon. Prior research has demonstrated that parameter uncertainty drives uncertainty in land surface fluxes. However, the influence of land process uncertainty on the climate system remains underexplored. Here, we quantify how assumptions about land processes impact climate using a perturbed parameter ensemble for 18 land parameters in the Community Earth System Model (CESM2) under preindustrial conditions. We find that an observationally-informed range of land parameters generate biogeophysical feedbacks that significantly influence the mean climate state, largely by modifying evapotranspiration. Global mean land surface temperature ranges by 2.2°C across our ensemble (standard deviation = 0.5°C) and precipitation changes were significant and spatially variable. Our analysis demonstrates that the impacts of land parameter uncertainty on surface fluxes propagates to the entire Earth system, and provides insights into where and how land process uncertainty influences climate.

Fig. 2 in Microenergy harvester for remote ocean buoys using piezoelectric sensors coupled with superballs

Fig. 2 — Sketch of the Piezoelectric Energy Harvester (PEH)

Fig. 8 in Microenergy harvester for remote ocean buoys using piezoelectric sensors coupled with superballs

Fig. 8 — Generated voltage with respect to the changing wave period from 1.22 to 2.13 s

Fig. 1 in Microenergy harvester for remote ocean buoys using piezoelectric sensors coupled with superballs

Fig. 1 — Schematic representation of Piezoelectric Energy Harvester (PEH) system

Fig. 3 in Microenergy harvester for remote ocean buoys using piezoelectric sensors coupled with superballs

Fig. 3 — Sketch of flume (not to scale)

Supplementary data for "Seasonal emergence and circulation coupling of moist layers over the tropical Atlantic"

The data provided here contains the derived moist layer characteristics from ERA5 reanalysis, as presented in the associated publication. Data is given on a 0.25° latitude/longitude grid between 30°N/S on the native vertical levels of the ERA5 dataset, cut off at 50 hPa. When a moist layer is detected at a given location and altitude, as identified by the method described in Sect. 2.2 of the publication, the moist layer characteristics (strength, pressure level, upper bound pressure, lower bound pressure) are written in the associated files at the given location (lat/lon) and pressure level of the moist layer. Here, we provide the 15 year means and standard deviations for the months January and July, and the 3 hourly data along the equatorial and 15°N cross-sections of the Atlantic used for the Hovmoller diagrams in Fig. 4 and Supporting Figure S1 of the publication. Files containing "geographical_mean" indicate monthly means on the latitude/longitude grid. Files containing "moisture_space" indicate monthly means within moisture space over the tropical Atlantic, as defined in the paper.  Code used to generate the data and to conduct the analysis presented in the publication are provided in the github repository URL listed in the Software section.

A regional high-resolution (1/12 degree) coupled ocean-ecosystem model (INCOIS-BIO-ROMS) output for Indian Ocean

The dataset contains sea-surface temperature, sea-surface salinity, sea-surface dissolved inorganic carbon, sea-surface total alkalinity, sea-surface pH, and sea-surface partial pressure of CO2 for the Indian Ocean region. The data is available from 1980 to 2019 on a monthly time scale. Each of these data has a spatial resolution of 1/12º.

Investigating similarities and differences of the penultimate and last glacial terminations with a coupled ice sheet - climate model

This archive provides the iLOVECLIM-GRISLI outputs as part of the manuscript "Investigating similarities and differences of the penultimate and last glacial terminations with a coupled ice sheet - climate model". Contact: aurelien.quiquet@lsce.ipsl.fr

opencc-by-4.0Nov 2023View details →

Spectroscopic and Interferometric Sum-Frequency Imaging of Strongly Coupled Phonon Polaritons in SiC Metasurfaces - Experimental and Simulation Data

Data repository supporting the manuscript 'Spectroscopic and Interferometric Sum-Frequency Imaging of Strongly Coupled Phonon Polaritons in SiC Metasurfaces'.

MIROC6-AGCM dataset for "The Influence of Extratropical Ocean on the PNA Teleconnection: Role of Atmosphere-Ocean Coupling"

MIROC6-AGCM simulation dataset used in the paper “The Influence of Extratropical Ocean on the PNA Teleconnection:  Role of Atmosphere-Ocean Coupling" submitted to Geophysical Research Letters. This dataset includes two experimental datasets called "ACLM" and "AHIST". For "AHIST," it is complements data from another repository (<a href="https://doi.org/10.5281/zenodo.10565870" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10565870</a>).   <h2>Data Format</h2> All data are 4-byte binary files accompanied by GrADS control file (http://cola.gmu.edu/grads/) to access the data.   <h2>Variables</h2> The dataset uploaded includes a 50-member ensemble of winter-mean (December–January–February) fields for 1980–2020 (a year refers to that including January of each DJF season) over the Northern Hemisphere (0°–360°, 10°–90°N). A part of variables includes data in the tropics (0°–360°, 20S°–90°N). Variables include wind velocities (u, v), pressure velocity (omg), temperature (T), geopotential height (z), eddy momentum (UU, VV, UV), heat (UT, VT), and covariance of height (ZZ) fluxes by transient eddies, 10m wind velocity (u10, v10), 10m wind speed (uvabs), surface pressure (Ps), sensible and latent heat fluxes (sens, evap), precipitation (prcp), cumulus precipitation (prcpc), and precipitation by large-scale condensation (prcpl). The diabatic heating rate consists of only ten ensemble members from 1980-2014. The dtphy is the sum of the diabatic heating terms from different physical processes in the model, which include vertical diffusion (dtvdf), cumulus heating (dtcum), large-scale condensation heating (dtlsc), shallow convection heating (dtscn), cloud physics heating (dtcph), and radiative heating by long wave (dtradl) and short wave (dtrads).

Data for: Influence of Anomalous Ocean Heat Transport on the Extratropical Atmospheric Circulation in a High-Resolution Slab-Ocean Coupled Model

This dataset, provided in NetCDF format, supports the research presented in the paper titled "Influence of Anomalous Ocean Heat Transport on the Extratropical Atmospheric Circulation in a High-Resolution Slab-Ocean Coupled Model." Please contact Dr. Sun (ltsun@rams.colostate.edu) if you have any questions.