Find research datasets worth reusing

opencc-by-4.0Oct 2020View details →

Data for "A Stepwise Clustered Hydrological Model for Addressing the Autocorrelation Structure of Streamflow in Irrigated Watersheds"

This data set contains hydrological input (goundwater depth, streamflow and irrigation) for the study of "A Stepwise Clustered Hydrological Model for Addressing the Autocorrelation Structure of Streamflow in Irrigated Watersheds" For more information please contact the author.

opencc-by-4.0Oct 2020View details →

Modeling plant roots spectral induced polarization signature - data

Data used for Figures

opencc-by-4.0Aug 2020View details →

Sea salt optical modeling - output data

Model data for optical calculations of dried sea salt aerosol This repository provides the raw output data used for plots in a manuscript submitted to the Journal of Geophysical Research: Atmospheres. The folders contain optical data from calculations performed with the discrete dipole approximation (DDA) code ADDA (version 1.3b4) and the T-matrix code Tsym (version 6.6α) for dried sea salt aerosol particles. The output of each code was saved in the folder with the respective name. For an interpretation of the raw output, please see documentations of the respective codes [1,2]. The subdirectory adda contains results for four main types of geometries (cubes, Gaussian random cubes, convex polyhedral, and non-cubical superellipsoids). In addition, the results for these geometries an additional subfolder for calculations performed to gauge the uncertainties stemming from dipole spacing and orientation averaging. Uncertainty estimated were performed for two superellipsoids with a roundness parameter of n=e=0.0 (i.e., a cube) and a roundness parameter of n=e=0.2 (i.e., a rounded cube) respectively. The subdirectory Tsym contains results for superellipsoids. For definitions of the shapes, please see the manuscript. The naming of the folders within the subdirectories reflects the changes of the parameters investigated. Version 2 of the data set contains the files contained in Version 1, as well as, the results from additionally performed calculations and additional README files. The additionally performed calculations include further calculations related to impact of dipole spacing and number of orientations considered (in case of ADDA calculations) and an additional refractive index (in case of Tsym calculations).     [1] ADDA (version 1.3b4): <a href="https://github.com/adda-team/adda/releases/tag/v1.3b4">https://github.com/adda-team/adda/releases/tag/v1.3b4</a> [2] Tsym (version 5.2): <a href="https://github.com/michaelkahnert/Tsym-5.2">https://github.com/michaelkahnert/Tsym-5.2</a> (The Tsym output files do not differ between versions 5.2 and 6.6α)

opencc-zeroSep 2020View details →

Data and code from: Growth strategies of a model picoplankter depend on social milieu and pCO2

Aquatic microbial primary producers exist in genetically diverse populations, but are often studied as single lineages, so that interpreting single lineage studies relies critically on understanding how microbial growth differs with social milieu. The properties of lineages grown alone often fail to predict the growth of these same lineages in the presence of conspecifics, and this discrepancy points towards an opportunity to improve our understanding of how multilineage assemblages of a species are shaped. We demonstrate that different lineages of a marine picoplankter modulate their lineage growth rate in response to the presence of non-self conspecifics, even when resource competition is effectively absent. This explains why growth rates of lineages in isolation do not reliably predict their growth rates in mixed culture, or the lineage composition of assemblages. The diversity of growth strategies observed are thus consistent with lineage-specific energy-allocation that depends on social milieu. Since lineage growth is only one of many traits determining fitness in natural assemblages, we propose that in all but the poorest quality environments where allocating maximum energy to growth is the only viable strategy, we should expect intraspecific variation in growth strategies, with more strategies possible in ameliorated environments, such as high CO2 for many marine picoplankton.

opencc-zeroNov 2020View details →

Constitutive model of erythrocyte membranes with distributions of spectrin orientations and lengths - pipette aspiration data and MatLab Code

The speadsheet contains the original micropipette aspiration measurement of red blood cell membrane. There are five days of experiment each on its own tab, the first three of which are reported in the manuscript. The MatLab code used to generate theoretical predictions based on our new microstructurebased constitutive model are also included. This is the code used to generate least squared regression values for the material coefficients.

opencc-by-4.0Nov 2020View details →

A 15-year full-coverage daily PM1 dataset across China based on a data-fusion model

The long-term (2004-2018) full-coverage daily PM1 dataset across China was developed based on a stacking decision tree model assimilating satellite data, meteorological variables, and other geographical covariates. The PM1 dataset captured a strong prediction capability with a high cross-validation (CV) R2 value (0.64), and the low root-mean-square error (RMSE: 18.60 μg/m3) and moderate absolute error (MAE: 11.96 μg/m3). The long-term PM1 dataset obtained here provide a key scientific basis and data support for epidemiological research and air pollution mitigation.

opencc-by-4.0Nov 2020View details →

Mapping the age of ice of Gauligletscher combining surface radionuclide contamination and ice flow modeling: Radionuclide data

The data corresponds to 239-Pu and 236-U concentrations of 220 samples of ice collected along 5 flowlines at the surface of Gauligletscher in July 2019. Details about the data sampling and analysis can be found in the paper "Mapping the age of ice of Gauligletscher combining surface radionuclide contamination and ice flow modeling", by G. Jouvet, S. Röllin, H. Sahli, J. Corcho, L. Gnägi, L. Compagno, D. Sidler, M. Schwikowski, A. Bauder, and M. Funk. The Cryosphere, 2020.

opencc-zeroNov 2020View details →

Data from: Ensemble modelling of the potential distribution of the whale shark in the Atlantic Ocean

This dataset reports observations of whale shark (Rhincodon typus) in the tropical and subtropical Atlantic Ocean. Data were obtained by the Spanish Institute of Oceanography (IEO) observers program, and were rescaled to the resolution of the Bio-ORACLE 2.0 variables, against which they were modelled along with presences from additional online sources. Our data include both presence and surveyed absence records – i.e., places where observers were active and did not detect whale sharks – within 5 arc-minute pixels spanning the surveyed area.

opencc-zeroNov 2020View details →

Data from: A predictive model for improving placement of wind turbines to minimise collision risk potential for a large soaring raptor

1. With the rapid growth of wind energy developments worldwide, it is critical that the negative impacts on wildlife are considered and mitigated. This includes minimising the numbers of large soaring raptors which are killed when they collide with wind turbines. 2. To reduce the likelihood of raptor collisions, turbines should be placed at locations which are least used by sensitive species. For resident or breeding species, this is often delineated crudely through the use of circular buffers centred on nest sites, which assume uniform habitat use around a nest site. 3. Using GPS tracking data together with a digital elevation model we build and cross-validate a simple generalizable model, to classify the spatial likelihood of wind turbine collisions for resident adult Verreaux's eagles in any landscape where there are known nests. We apply our methods to operational developments in South Africa to validate the model and demonstrate its ability in predicting actual collision mortalities. 4. Our Collision Risk Potential (CRP) model included the variables distance to nest, distance to conspecific nest, slope, distance to slope and elevation. Using our model, rather than a circular buffer, resulted in ca. 4–5% improvement in eagle protection while excluding development from the same amount (but not shape) of area. For an equal level of eagle protection, our model can make ca. 20–21% more area available for wind energy development compared to a circular buffer. 5. Exploring collisions at operational wind farms in South Africa we show that our CRP model correctly predicted 87% of known collisions, while circular buffers (5.2km radius) only captured 50% of collisions. 6. Synthesis and applications: We show that by using predictive models to account for habitat use, a greater area of land can be made available for wind energy development without increased mortality risk to raptors. Our predictive model can be used to provide robust guidance on wind turbine placement in South Africa in a way which minimizes the conflict between a vulnerable raptor species and the development of renewable energy.

Exp 2 Model Data Comparison

Model results for the base case of comparing with the MODEX flume data

Exp 7 Model Data Comparison

Model results specifically for comparison to MODEX observations

Exp 8 Model Data Comparison

Model results for the base case of comparing with the MODEX flume data

Exp 9 Model Data Comparison

Model output used to validate with Exp 9 data

The influence of dynamic topography, climate, and tectonics on the Nile River source-to-sink system – Model input data

Input data for Badlands models used in 2020 Honours thesis at the University of Sydney.

opencc-zeroDec 2020View details →

Data: Experimental evidence of warming-induced disease emergence and its prediction by a trait-based mechanistic model

Predicting the effects of seasonality and climate change on the emergence and spread of infectious disease remains difficult, in part because of poorly understood connections between warming and the mechanisms driving disease. Trait-based mechanistic models combined with thermal performance curves arising from the Metabolic Theory of Ecology (MTE) have been highlighted as a promising approach going forward; however, this framework has not been tested under controlled experimental conditions that isolate the role of gradual temporal warming on disease dynamics and emergence. Here, we provide experimental evidence that a slowly warming host – parasite system can be pushed through a critical transition into an epidemic state. We then show that a trait-based mechanistic model with MTE functional forms can predict the critical temperature for disease emergence, subsequent disease dynamics through time, and final infection prevalence in an experimentally warmed system of Daphnia and a microsporidian parasite. Our results serve as a proof of principle that trait-based mechanistic models using MTE sub-functions can predict warming-induced disease emergence in data-rich systems – a critical step towards generalizing the approach to other systems.

opencc-by-4.0Jan 2021View details →

Input and output model data for Horvath et al. 2020 (https://doi.org/10.5194/bg-2020-149)

Please see "readme" file.

opencc-zeroDec 2020View details →

Data from: Evaluating predictive performance of statistical models explaining wild bee abundance in a mass-flowering crop

Wild bee populations are threatened by current agricultural practices in many parts of the world, which may put pollination services and crop yields at risk. Loss of pollination services can potentially be predicted by models that link bee abundances with landscape-scale land-use, but there is little knowledge on the degree to which these statistical models are transferable across time and space. This study assesses the transferability of models for wild bee abundance in a mass-flowering crop across space (from one region to another) and across time (from one year to another). The models used existing data on bumblebee and solitary bee abundance in winter oilseed rape fields, together with high-resolution land-use crop-cover and semi-natural habitats data, from studies conducted in five different regions located in four countries (Sweden, Germany, Netherlands, and the UK), in three different years (2011, 2012, 2013). We developed a hierarchical model combining all studies and evaluated the transferability using cross-validation. We found that both the landscape-scale cover of mass-flowering crops and permanent semi-natural habitats, including grasslands and forests, are important drivers of wild bee abundance in all regions. However, while the negative effect of increasing mass-flowering crops on the density of the pollinators is consistent between studies, the direction of the effect of semi-natural habitat is variable between studies. The transferability of these statistical models is limited, especially across regions, but also across time. Our study demonstrates the limits of using statistical models in conjunction with widely available land-use crop-cover classes for extrapolating pollinator density across years and regions, likely in part because input variables such as cover of semi-natural habitats poorly capture variability in pollinator resources between regions and years.

opencc-by-4.0Jan 2021View details →

Data and model of the 2014 Mw 6.9 Yutian Earthquake

If your work results in an publication where you used our data, we kindly ask you to consider citing this article as Li, X., W. Xu, S. Jónsson, Y. Klinger, and G. Zhang (2020). Source Model of the 2014 Mw 6.9 Yutian Earthquake at the Southwestern End of the Altyn Tagh Fault in Tibet Estimated from Satellite Images, Seismol. Res. Lett. 91, 3161–3170,

opencc-zeroJan 2021View details →

Data from: A geology and geodesy based model of dynamic earthquake rupture on the Rodgers Creek-Hayward-Calaveras fault system, California

The Hayward fault in California's San Francisco Bay area produces large earthquakes, with the last occurring in 1868. We examine how physics-based dynamic rupture modeling can be used to numerically simulate large earthquakes on not only the Hayward fault, but also its connected companions to the north and south, the Rodgers Creek and Calaveras faults. Equipped with a wealth of images of this fault system, including those of its 3D geology and 3D geometry, in addition to inferences about its interseismic creep rate pattern and rock-friction behavior, we use a finite-element computer code to perform 3D dynamic earthquake rupture simulations. We find that the rock properties affect the locations and amount of slip produced in our simulated large earthquakes. Crucial factors that control rupture behavior in our modeling are the earthquake nucleation locations, the fault geometry, and the data that reveal where the fault system is creeping or locked. Our findings suggest that large Rodgers Creek-Hayward-Calaveras-Northern Calaveras (RC-H-C-NC) fault-system earthquakes may result from dynamic rupture that starts in a locked part of the fault system, but is then stopped by the creeping parts, leading to high magnitude-6 earthquakes; or, from dynamic rupture that starts in a locked part of the fault system, then cascades through some of the creeping parts, leading to magnitude-7 earthquakes.