Find research datasets worth reusing

Dataset associated with "Assessment of the effects of the 2021 Caldor megafire on soil physical properties, eastern Sierra Nevadas, USA"

This dataset includes both raw and processed data associated with the publication entitled "Assessment of the effects of the 2021 Caldor megafire on soil physical properties, eastern Sierra Nevadas, USA", published in MDPI Fire (doi: <a href="https://doi.org/10.3390/fire6020066">10.3390/fire6020066</a>). Raw files include exported .xlsx files from Meter Group HYPROP analyses, .csv files from 10 replicate measurements of saturated hydraulic conductivity for each analyzed sample using the Meter Group KSAT device, and raw .dat files from measurement of bulk thermal properties. A single additional file also documents the laboratory results from particle size and loss on ignition analyses. Processed data includes curve fitting parameters associated with fitting the soil water retention curves (SWRC) and thermal conductivity functions (TCFs) for each sample, as described in Sion et al. (2023). Additional requests associated with data from Sion et al. (2023) should be directed to the lead author.

MInTe2 (M=Ag, Cu) thermal and electronic transport properties

HiPhive, ShengBTE and AMSET files that contain thermal and electronic transport properties of MInTe2 (M=Ag, Cu)

opencc-by-4.0Feb 2023View details →

Frequency-dependent mechanical properties of the Greenland upper mantle calculated using the Very Broadband Rheology calculator

Frequency-dependent mechanical properties of the Greenland upper mantle calculated using the VBRc Frequency-dependent mechanical properties of the upper mantle beneath Greenland inferred using three-dimensional Bayesian inference of mantle thermodynamic state using the Very Broadband Rheology calculator (VBRc). Mechanical properties include the complex modulus, apparent viscosity, maxwell time, and apparent lithosphere thickness. They have been calculated for two constitutive models of anelastic behaviour - master curve fit with pre-melting scaling and extended Burgers with pseudoperiod scaling. These results are described in: Paxman, G.J.G., Lau, H.C.P., Austermann, J., Holtzman, B.K., Havlin. C., (2023), Inference of the Timescale‐Dependent Apparent Viscosity Structure in the Upper Mantle Beneath Greenland, AGU Advances 4(2), doi: 10.1029/2022AV000751. All variables are contained within a single NetCDF file.

Formal properties collected from practical model-checking projects

Since 2008, VTT has been applying model checking in practical customer projects in the Finnish nuclear and railway industries. We have collected 3923 formal properties specified and verified by VTT analysts in the those projects between the years 2014 and 2022. To mask confidential data, we have removed the references to the original model variables, and only preserved the temporal structure of each property. Please cite: Pakonen A., Buzhinsky, I., Vyatkin, V. Evaluation of visual property specification languages based on practical model-checking experience. Journal of Systems and Software, vol. 216, October 2024, 112153. https://doi.org/10.1016/j.jss.2024.112153

openother-ncSep 2022View details →

polyOne Data Set - 100 million hypothetical polymers including 29 properties

polyOne Data Set The data set contains 100 million hypothetical polymers each with 29 predicted properties using machine learning models. We use PSMILES strings to represent polymer structures, see <a href="https://www.polymergenome.org/guide/index.php?m=3">here</a> and <a href="https://github.com/Ramprasad-Group/psmiles">here</a>. The polymers are generated by decomposing previously synthesized polymers into unique chemical fragments. Random and enumerative compositions of these fragments yield 100 million hypothetical PSMILES strings. All PSMILES strings are chemically valid polymers but, mostly, have never been synthesized before. More information can be found in the paper. Please note the license agreement in the LICENSE file. Full data set including the properties The data files are in Apache Parquet format. The files start with `polyOne_*.parquet`. I recommend using dask (`pip install dask`) to load and process the data set.  Pandas also works but is slower. Load sharded data set with dask ```python import dask.dataframe as dd ddf = dd.read_parquet("*.parquet", engine="pyarrow") ``` For example, compute the description of data set ```python df_describe = ddf.describe().compute() df_describe ``` PSMILES strings only <ul> <li>generated_polymer_smiles_train.txt - 80 million PSMILES strings for training polyBERT. One string per line.</li> <li>generated_polymer_smiles_dev.txt - 20 million PSMILES strings for testing polyBERT. One string per line.</li> </ul>

Data files for "Ground state and spectral properties of the doped one-dimensional optical Hubbard-Su-Schrieffer-Heeger model"

This repo contains the relevant data files for the paper D. Banerjee et al., "Ground state and spectral properties of the doped one-dimensional optical Hubbard-Su-Schrieffer-Heeger model". (2023) Preprint: arXiv:2303.10193

opencc-zeroMar 2023View details →

dryad36/100

Tree growth, wood properties and saccharification traits in SwAsp Populus tremula trees grown in Ekebo Sweden

Background Wood represents the majority of the biomass on land and constitutes a renewable source of biofuels and other bioproducts. However, wood is recalcitrant to bioconversion, raising a need for feedstock improvement in production of, for instance, biofuels. We investigated the properties of wood that affect bioconversion, as well as the underlying genetics, to help identify superior tree feedstocks for biorefining. Results We recorded 65 wood-related and growth traits in a population of 113 natural aspen genotypes from Sweden. These traits included three growth and field performance traits, 20 traits for wood chemical composition, 17 traits for wood anatomy and structure, and 25 wood saccharification traits as indicators of bioconversion potential. Glucose release after saccharification with acidic pretreatment correlated positively with tree stem height and diameter and the carbohydrate content of the wood, and negatively with the content of lignin and the hemicellulose sugar units. Most of these traits displayed extensive natural variation within the aspen population and high broad-sense heritability, supporting their potential in genetic improvement of feedstocks towards improved bioconversion. Finally, a genome wide association study (GWAS) revealed 13 genetic loci for saccharification yield (on a whole tree biomass basis), with six of them intersecting with associations for either height or stem diameter of the trees. Conclusions The simple growth traits of stem height and diameter were identified as good predictors of wood saccharification yield in aspen trees. GWAS elucidated the underlying genetics, revealing putative genetic markers for bioconversion of bioenergy tree feedstocks.

Frictional Properties and Healing Behavior of Tectonic Mélanges: Implications for the Evolution of Subduction Fault Zones

Here, we report data from velocity-step experiments using rocks collected from ancient subduction fault zones, the Lower Mugi and Makimine mélanges of the Cretaceous Shimanto belt. The two mélanges preserve paleotemperature records corresponding to the updip and downdip limits of the seismogenic zone and deformation recording a lower versus higher degree of pressure solution. The compostions of the mélanges analyzed with X-ray diffraction (XRD) are also included in the datasets. Our data show that the Lower Mugi mélange sample exhibits velocity-weakening to velocity-neutral behavior under low normal stress, and the Makimine mélange sample shows velocity-strengthening behavior under high normal stress. This is consistent with the slip behavior observed at the depths they have been subducted to along the plate interface. We also perform a series of slide-hold-slide experiments under different hydrothermal conditions using the Lower Mugi mélange sample to evaluate the role of pressure solution in fault healing and its dependency on temperature. The results show that healing rates increase in tests operated at higher temperatures, which suggests the importance of pressure solution healing along plate interfaces.

Spatial soil properties maps for Switzerland at 30 m resolution

The Swiss Soil Property Map (SSPM) was developed using the quantile random forest machine learning algorithm and remotely sensed surrogate information such as terrain, climate, vegetation, and soil covariates. The SSPM dataset provides maps at 30 m resolution for different soil depths (0, 30, 60, and 100 cm) in GeoTIFF format. The mean and respective uncertainty information is provided for each map. Please note that the phosphorus spatial map is only available for the topsoil (0-20 cm) due to the unavailability of the dataset at deeper depths. <table> <caption>Description of soil properties (SP) and their units</caption> <tbody> <tr> <td>SP</td> <td>Description</td> <td>units</td> </tr> <tr> <td>Sand      </td> <td>Sand content</td> <td>%</td> </tr> <tr> <td>Clay</td> <td>Clay content</td> <td>%</td> </tr> <tr> <td>OC</td> <td>Organic carbon content               </td> <td>%</td> </tr> <tr> <td>N</td> <td>Nitrogen content</td> <td>%              </td> </tr> <tr> <td>P</td> <td>Phosphorus content</td> <td>mg/kg</td> </tr> </tbody> </table> For more details / to cite this dataset please use: <ul> <li>Gupta, S. , Hasler, K. J.,  Alewell, C.: Mapping soil properties of Switzerland using remote sensing datasets and machine learning approach. Manuscript submitted, Geoderma Regional, 2023</li> </ul>

The heterogeneous rheological properties of rock mass caused the formation of deep tension fractures

Date for the paper —The heterogeneous rheological properties of rock mass caused the formation of deep tension fractures.

Computational Data for "Synthesis, Structures and Photophysical Properties of Tetra- and Hexanuclear Zinc Complexes Supported by Tridentate Schiff Base Ligands"

Computational data used for the article "Synthesis, Structures and Photophysical Properties of Tetra- and Hexanuclear Zinc Complexes Supported by Tridentate Schiff Base Ligands". This Includes the geometries, optimizations, and the TD-DFT calculations of all mentioned structures and simulated UV-Vis spectra.

Dataset: Scatter of mechanical properties of 2D biaxial and triaxial braided reinforced composites and their correlation with visual features

The data represents tensile tests of 2D braided biaxial and triaxial composite laminates. Braids were produced on a Herzog radial braiding machine RF 1-176-100 with carbon fiber yarns (Toho Tenax F13 HTS40 12K 800 tex). Test laminates are infused with a VARI process with the 2-component epoxy resin system Hexion RIM235/RIMH237. The infusion is performed at vacuum pressure leves of 20-30 mbar and the resin is cured at room temperature for 24 hours at a pressure level of 250 mbar. A subsequent post-cure step maximizes matrix properties at 70°C for 10 hours. The braid setups have been chosen to achieve four different braids with a fiber angle of 45° on braid mandrels with a diameter of 120 mm, two biaxial ones and two triaxial ones. By using different sizes of braiding ring diameters and yarn forces, homogeneous and inhomogeneous fiber architectures are generated. Braiding setups 1 (biaxial) and 2 (triaxial)  with 130 mm braiding ring diameter and 350 g yarn force result in braids with homogeneous fiber architecture. 3 (biaxial, 400 mm braiding ring, 600 g yarn force) and 4 (triaxial, 250 mm braiding ring, 600 g yarn force) in braids with inhomogeneous scattering of visual characteristics. Single layers are braided on mandrels with a length of 1500 mm and laminates with 6 layers of biaxial and 4 layers of triaxial braids are subsequently infused. Tensile tests are performed on a Schenck-Trebel RM250 universal testing machine according to AITM 1-0007. For each specimen, the individual fiber orientation in each layer is measured prior to infusion by image analysis performed on scans of the braided layers. The results show a strong dependence of the individual fiber orientation of single test specimens on their mechanical properties in case of the presented tensile tests

opencc-zeroApr 2023View details →

dryad36/100

Supporting data for: Optical properties of electrochemically gated La1-xSrxCoO3-δ as a topotactic phase-change material

The data included here contain the information necessary to recreate the figures in a manuscript titled "Optical Properties of Electrochemically Gated La1-xSrxCoO3-δ as a Topotactic Phase-Change Material". The data files include scanning transmission electron microscopy (STEM) images of electrochemically gated La1-xSrxCoO3-δ (LSCO) films, finite-difference time-domain (FDTD)-simulated electric field and reflectance data for LSCO-based metasurfaces, transfer-matrix model reflectance data for LSCO films on gold substrates, complex refractive index data for LSCO films before and after electrochemical gating, electronic resistivity data for LSCO films before and after electrochemical gating, source-drain current measurements of LSCO films during electrochemical gating, and X-ray diffraction data for LSCO films before and after electrochemical gating.

opencc-by-4.0Jan 2023View details →

Properties of binary systems in a one-dimensional approximation

We present numerically obtained tables of properties of stars in a binary system as a function of the effective potential:  volume-equivalent radii of the equipotential surfaces, effective accelerations averaged over the same equipotential surfaces and the properties of the L1 plane cross-sections. The tables are obtained for binaries where the ratios of the primary star mass to the companion star mass are from 10-6 to 105 and include equipotential surfaces up to the star's outer Lagrangian point. We supply a sample code showing how to use our tables to get the average effective accelerations in one-dimensional stellar codes. Updates will be available at <a href="https://github.com/AliPourmand/1D_binary_star_properties">https://github.com/AliPourmand/1D_binary_star_properties</a>. Paper describing the tables can be found on ApJ, DOI 10.3847/1538-4357/acd4c1, https://iopscience.iop.org/article/10.3847/1538-4357/acd4c1 If you make use of the provided tables or the code, we ask you to cite the paper (and zenodo deposit if such reference is allowed).

Dataset for "Generalizing property prediction of ionic liquids from limited labeled data: a one-stop framework empowered by transfer learning"

Dataset for "Generalizing property prediction of ionic liquids from limited labeled data:  a one-stop framework empowered by transfer learning", codes can be found <a href="https://github.com/GuzhongChen/ILTransR">here</a>.

DIB _Dataset for the psychometric properties of the construction of a verbal aptitude test instrument to assess prospective high school students' majors

The dataset consists of raw data from the response to the construct resulting from the development of a verbal aptitude test instrument and the results of data analysis using the Rasch model analysis approach.

Data & scripts - The effect of temperature-dependent material properties on simple thermal models of subduction zones

Data and scripts used in Van Zelst et al. (2023, Solid Earth): 'The effect of temperature-dependent material properties on simple thermal models of subduction zones'. Includes the data and figures for the benchmark of Van Keken et al. (2008) plus the results from our code xFieldstone; processing and visualisation scripts; raw and final figures; and all results for all model runs used in the publication (as listed in Table 1 in the paper).

Data from: Moderate recreational oyster harvest has variable impacts on biophysical properties of reefs and reef-associated fauna

Data associated with the paper "Moderate recreational oyster harvest has variable impacts on biophysical properties of reefs and reef-associated fauna", published in Ecosphere, 2023.

opencc-zeroJun 2023View details →

dryad36/100

Effects of plant traits and ecosystem properties on wave attenuation and soil carbon content

Understanding the relationships among the environment, species traits and ecosystem properties is important for developing management measures that optimize the delivery of ecosystem services (ESs). Here, we identify the most important relationships responsible for the delivery of two key ESs provided by tidal marshes: (1) nature-based shoreline protection through wave attenuation and (2) mitigation of climate change through soil carbon storage. In two tidal zones below and above the mean high water (MHW, Elbe Estuary, Germany) level, we measured environmental parameters, such as soil salinity and inundation, as well as plant traits representing adaptations to hydrodynamic stress and strongly influencing decomposition rates. Multiple linear regression results showed that wave attenuation rates were positively related to aboveground community biomass and stem bending resistance, and soil organic carbon was positively related to stem-specific density (below the MHW level). In the tidal zone above the MHW level, soil carbon density was governed by inundation duration and decomposition rates. Our study highlights that (1) ES delivery is not equally spread across tidal marshes and (2) ecosystem management should stimulate the development and persistence of habitat diversity (here, low and high marsh zones) to maximize ES delivery potential. Securing the delivery of the two studied ESs under climate change will depend on providing suitable (landward) space to sustain the functioning of the two marsh zones. In the studied marshes, these services are highly dependent on a few species (i.e., wave attenuation on Schoenoplectus tabernaemontani and Bolboschoenus maritimus and carbon storage on Phragmites australis), and as such, current and future ESs strongly depend on specific species' responses to changing environmental conditions.