Find research datasets worth reusing

opencc-by-4.0Aug 2023View details →

Data and model code: Assessing the Implications of Hydrogen Blending on the European Energy System towards 2050

Dataset for Assessing the Implications of Hydrogen Blending on the European Energy System towards 2050

Neutral model data from "Fragmentation mitigates biodiversity loss immediately after habitat destruction"

Raw community data from the manuscript "Fragmentation mitigates biodiversity loss immediately after habitat destruction." The folder contains text files of raw community data from the neutral model. Filenames contain the parameter values used in the simulation of that community. In the text files, each number is a different species and its position in the vector indicates its x, y coordinate in the 2D map. See <a href="https://github.com/cmsmith91/fragmentation/blob/main/python_code/neutral_mod-amarel15june2021.py">code</a> in the manuscript github repository.

Data points for "Modelling the thermodynamic properties of the mixture of water and polyethylene glycol (PEG) with the SAFT-γ Mie group-contribution approach

A variety of thermodynamic calculations (LLE, enthalpy of mixing, etc.) performed with the SAFT-γ Mie equation of state on polyethylene glycol (PEG) + water mixtures. Please refer to the original article (published in Fluid Phase Equilibria) for the bibliography and more details.

A new method for runoff forecasting in ungauged areas based on the Xinanjiang model incorporating multiple spatial geographical distribution data

This dataset includes two parts: (1) The SHP format layer data of 256 watersheds in North America and 2 watersheds in ChinaThe SHP format layer data of 256 watersheds in North America and 2 watersheds in China. (2) A reference meta-watershed database of spatial data was established, covering a spatial database of 256 watersheds. This provides a data foundation for runoff forecasting in other ungauged watersheds.

The code and data for paper "Reassessing Java Code Readability Models with a Human-Centered Approach"

The code and data for paper "Reassessing Java Code Readability Models with a Human-Centered Approach". Please refer to README.md for detailed instructions.

opencc-by-4.0Jun 2023View details →

Experimental House of Building Energetics Model Predictive Control experiment data

This repository hosts data from the Experimental House of Building Energetics (EHBE) of Hydro-Québec in Shawinigan.

Model outputs and species-level data for "Functional traits and climate drive interspecific differences in disturbance-induced tree mortality".V2

A minor coding error was found in the pre-formatted data of <a href="https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.16630">Barrere et al. (2023)</a>. This error did not affect the main results of the paper, but led to minor change in the value of the posterior estimates, stored in data/sensitivity/jags_dominance.Rdata. This repository contains the new version of the parameters.

Data Set for Sandanbata & Saito (submitted to JGR: Solid Earth) entitled "Quantifying magma overpressure beneath a submarine caldera: A mechanical modeling approach to tsunamigenic trapdoor faulting near Kita-Ioto Island, Japan"

Descriptions This dataset contains supplementary materials for the manuscript submitted to Journal of Geophysical Research: Solid Earth; the preprint has been uploaded to ESS Open Archive: <ul> <li>Osamu Sandanbata, and Tatsuhiko Saito, Quantifying magma overpressure beneath a submarine caldera: A mechanical modeling approach to tsunamigenic trapdoor faulting near Kita-Ioto Island, Japan.</li> </ul> We present a mechanical source model for the 2008 Kita-Ioto caldera earthquake.

opencc-by-4.0Aug 2023View details →

Data of: Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing

This dataset contains the data and models used in the research journal publication: "Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing " which was funded from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 101001567).

EOT modeling time series data

EOT modeling time series outputs (NorESM-L)

opencc-zeroSep 2023View details →

dryad32/100

Data for: The kinetic Ising model encapsulates essential dynamics of land pattern change

A land pattern change represents a globally significant trend with implications for the environment, climate, and societal well-being. While various methods have been developed to predict land change, our understanding of the underlying change processes remains inadequate. To address this issue, we investigate the suitability of the 2D kinetic Ising model (IM), an idealized model from statistical mechanics, for simulating land change dynamics. We test the IM on a variety of patterns, each with different focus land type. Specifically, we investigate four sites characterized by distinct patterns, presumably driven by different physical processes. Each site is observed on eight occasions between 2001 and 2019. Given the observed pattern at the time $t_i$ we find two parameters of the IM such that the model-evolved land pattern at $t_{i+1}$ resembles the observed land pattern at that time. The data supports simulating seven such transitions per site. Our findings indicate that the IM produces approximate matches to the observed patterns in terms of layout, composition, texture, and patch size distributions. Notably, the IM simulations even achieve a high degree of cell-scale pattern accuracy in two of the sites. Nevertheless, the IM has certain limitations, including its inability to model linear features, account for the formation of new large patches, and handle pattern shifts.

Data-based modeling of the magnetosheath magnetic field

The zip-archive 2023JA031665.zip contains two data files used in the generation and validation of the magnetosheath magnetic field model, a corresponding format description file, and a file with a fortran subroutine that can be used to reconstruct the magnetosheath magnetic field, as presented in the JGRA article 2023JA031665 by N. A. Tsyganenko, V. S. Semenov, and N. V. Erkaev "Data-based modeling of the magnetosheath magnetic field ". Below is a list of files with a brief explanation of their content and purpose. 1. The ascii files Grand_training_set.dat and Grand_validation_set.dat contain data used in the generation of the magnetosheath magnetic field model and its validation, respectively. Data formats are provided in a separate text file Data_format.txt. 2. The file MS_field_model.for contains a fortran subroutine for calculating the model magnetosheath magnetic field components.

Spectral data and model

Spectral data used for characterization. This plots contains the blue spectra of 45 stars obtained at Pico dos Dias Observatory (black line). Main spectral lines are signaled. Red line represent the spectral model from sme with the parameters showen in Table 2.In some cases the normalization procedure distorted Hδ region. For these cases, the region was masked out of the model and denoted by a dotted line.

UKESM1 data for "G6-1.5: a new Geoengineering Model Intercomparison Project (GeoMIP) experiment integrating recent advances in sunlight reflection methods studies".

UKESM1 data for "G6-1.5: a new Geoengineering Model Intercomparison Project (GeoMIP) experiment integrating recent advances in sunlight reflection methods studies". Processed UKESM data used for figure 4 in "G6-1.5: a new Geoengineering Model Intercomparison Project (GeoMIP) experiment integrating recent advances in sunlight reflection methods studies" by Visioni et al.

Models and data for: State estimation of a physical system without governing equations

Contains the accompanying data and models for the paper State estimation of a physical system with unknown governing equations. Accompanying code can be found here: https://github.com/coursekevin/svise

Data for "Impact of time-dependent data assimilation on ice flow model initialization and projections: a case study of Kjer Glacier, Greenland"

Data for the main figures for "Impact of time-dependent data assimilation on ice flow model initialization: A case study of Kjer Glacier, Greenland"

Investigation of the summer 2018 European ozone air pollution episodes using novel satellite data and modelling - Dataset

Open the record for dataset details and reuse information.

openOct 2023View details →

A model-data comparison of the hydrological response to Miocene warmth: leveraging the MioMIP1 opportunistic multi-model ensemble

Supporting information for manuscript titled "A model-data comparison of the hydrological response to Miocene warmth: leveraging the MioMIP1 opportunistic multi-model ensemble"Datasets S1. Early to Middle Miocene NetCDF files: E2MMIO280.nc, E2MMIO400.nc, E2MMIO560.nc, E2MMIO850.nc contains MioMIP1 climate variables used to make manuscript figures. Datasets S2 Middle to Late Miocene NetCDF files: M2LMIO280.nc, M2LMIO400.nc, M2LMIO560.nc contains MioMIP1 climate variables used to make manuscript figures. Datasets S3 Preindustrial NetCDF files: PI contains MioMIP1 climate variables used to make manuscript figures.Dataset S4 CSV file MioMIP_MAP_compilation contains newly revised miocene reconstructed mean annual precipitation from proxies.

opencc-by-4.0May 2022View details →

Benchmark data for "Model-X knockoffs reveal data-dependent limits on regulatory network identification"

This collection of data was used in our manuscript tentatively entitled "Model-X knockoffs reveal data-dependent limits on regulatory network identification". It is entirely from public sources, but to enable easy repetition of our analyses, we collect it all here in the exact format we used. Links to related papers and code can be found at the <a href="https://github.com/ekernf01/knockoffs_paper">knockoffs paper</a> homepage.