Find research datasets worth reusing

opencc-by-4.0Jul 2020View details →

Reproducible Validation and Replication Studies in Nanoscale Physics (repro results plots - Ellis et al., 2016)

This archive contains the Jupyter notebooks needed to reproduce the figures of the paper that are related to the  Validation results and replication of Ellis et al. 2016. For further information direct to the README.md file.

opencc-by-4.0Jul 2020View details →

Reproducible Validation and Replication Studies in Nanoscale Physics (problem datasets for Rockstuhl et al. 2005 replication)

Problem folders including all the input files necessary to reproduce the computations of the results related to Rockstuhl et al. 2005 on the paper: Reproducible Validation and Replication Studies in Nanoscale Physics

opencc-by-4.0Jul 2020View details →

Physics in Precision-Dependent Normal Neighborhoods

This dataset is associated with "Physics in Precision-Dependent Normal Neighborhoods", Bruno Hoegl, Stefan Hofmann, and Maximilian Koegler (2020) [https://arxiv.org/abs/2007.15717] It includes mathematica 11.0.1.0 notebooks to allow for the replication of figures 2 and 3 as well as equations (26), (29), and (31).

opencc-zeroJan 2020View details →

Data for: Evaluating the impact of physical frailty during ageing in wild chimpanzees (Pan troglodytes schweinfurthii)

While declining physical performance is an expected consequence of aging, human clinical research has placed increasing emphasis on physical frailty as a predictor of death and disability in the elderly. We examined non-invasive measures approximating frailty in a richly-sampled longitudinal dataset on wild chimpanzees. Using urinary creatinine to assess lean body mass, we demonstrated moderate but significant declines in physical condition with age in both sexes. While older chimpanzees spent less of their day in the trees and feeding, they did not alter activity budgets with respect to travel or resting. There was little evidence that declining lean body mass had negative consequences independent of age. Old chimpanzees with poor lean body mass rested more often but did not otherwise differ in activity. Males, but not females, in poor condition were more likely to exhibit respiratory illness. Poor muscle mass was associated acutely with death in males, but it did not predict future mortality in either sex. While there may be some reasons to suspect biological differences in the susceptibility to frailty in chimpanzees versus humans, our data are consistent with recent reports from humans that lean, physically active individuals can successfully combat frailty.

opencc-zeroAug 2020View details →

How butterflies keep their cool: physical and ecological traits influence thermoregulatory ability and population trends.

Understanding which factors influence the ability of individuals to respond to changing temperatures is fundamental to species conservation under climate change. We investigated how a community of butterflies responded to fine-scale changes in air temperature, and whether species-specific responses were predicted by ecological or morphological traits. Using data collected across a UK reserve network, we investigated the ability of 29 butterfly species to buffer thoracic temperature against changes in air temperature. First, we tested whether differences were attributable to taxonomic family, morphology or habitat association. We then investigated the relative importance of two buffering mechanisms: behavioural thermoregulation versus fine-scale microclimate selection. Finally, we tested whether species' responses to changing temperatures predicted their population trends from a UK-wide dataset. We found significant interspecific variation in buffering ability, which varied between families and increased with wing length. We also found interspecific differences in the relative importance of the two buffering mechanisms, with species relying on microclimate selection suffering larger population declines over the last 40 years than those that could alter their temperature behaviourally. Our results highlight the importance of understanding how different species respond to fine-scale temperature variation, and the value of taking microclimate into account in conservation management to ensure favourable conditions are maintained for temperature-sensitive species.

opencc-by-4.0Sep 2020View details →

Physics Based Broadband Simulations for EarthquakeEarly Warning

This data-set was generated for U.S. Geological Survey External Hazards Program award G19AP00010. It includes rupture models of the 2014 M8.1 Iquique, Chile earthquake as well as simulated ruptures on the Cascadia Subduction Zone. For each rupture there are also associated broadband (100Hz) waveforms. Details on how the ruptures and data were generated are available in the following publication: Goldberg, D. E., & Melgar, D. (2020). Generation and validation of broadband synthetic P waves in semistochastic models of large earthquakes. Bulletin of the Seismological Society of America, 110(4), 1982-1995

opencc-by-4.0Sep 2020View details →

Dataset: Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph, and image data

This dataset is the dataset used to train and test the object condensation particle flow approach described in <a href="https://arxiv.org/abs/2002.03605">arxiv:2002.03605</a>. The data can be read with DeepJetCore 3.1 (https://github.com/DL4Jets/DeepJetCore) The entries in the truth array are of dimension (batch, 200, N_truth). The truth inputs are: isElectron, isGamma, isPositron, true_energy, true_x, true_y The entries in the feature array are of dimension (batch, 200, N_features), with the features being: rechit_energy, rechit_x, rechit_y, rechit_z, rechit_layer, rechit_detid The "train.zip" file contains the training sample The "test.zip" file the test sample The main test sample is identical to the training sample in composition, but statistically independent. Other samples can be found in subfolders: test/flatNpart: sample with flat distribution of additional particles in the event w.r.t. each individual particle Test/hiNPart: sample with up to 15 particles per event

opencc-by-4.0Oct 2020View details →

Patient-reported physical functioning of critical illness survivors 1-year after ICU-admission

Dataset for manuscript: "Patient-reported physical functioning is limited in almost half of critical illness survivors 1-year after ICU-admission: a retrospective single-centre study"

Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts Data and Scripts

The repository contains the data corresponding to the Paper "Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts". Random30, Random50, Random100, Similiar10, Similar30 and Similar50.zip contain the data sets (obj Files). R30_physical_images.zip and sim50_physical_images.zip contain the photos made from the physical components which are used for the evaluation.

opencc-by-4.0Nov 2020View details →

Data associated to the manuscript "Computational Screening of the Physical Properties of Water-in-Salt Electrolytes"

Contains input files and data used to generate the figures of the article: Computational Screening of the Physical Properties of Water-in-Salt Electrolytes Trinidad Mendez-Morales, Zhujie Li and Mathieu Salanne, *ChemRxiv*, 13012646v2, 2020 [https://doi.org/10.26434/chemrxiv.13012646.v2](https://doi.org/10.26434/chemrxiv.13012646.v2) *WiS-inputs.zip* contains typical [LAMMPS](https://lammps.sandia.gov/) input files for all the systems. The folder *transport_coefficients* contains the computed viscosities, conductivities and diffusion coefficients for all the systems. The folder *radial_distribution_functions* contains all the partial radial distribution functions for all the systems. The nomenclature of the atoms of the anion is provided in the file *figureS1.pdf* and the atoms from the water molecules are labelled Ow and Hw.

opencc-by-4.0Dec 2020View details →

Toward a Physics based Model of Hypervelocity dust Impacts,

Data used in the preparations of certain figures of the manuscript

Data for manuscript # 2021JA029122 JGR-Space Physics

This is a collection of files that we have used to generate our figures for the manuscript 2021JA029122.

NPLM: Learning Multivariate New Physics

Archive of synthetic data used for the studies presented in <a href="https://arxiv.org/abs/1912.12155">arXiv:1912.12155</a>

Simulation data used in "An attempt to distinguish physical and socio-psychological influences on pedestrian bottleneck"

The dataset contains all simulated trajectory data used in the main text analysis of "Self-organisation phenomena in pedestrian bottleneck flow under varying corridor width". The data was simulated using JuPedSim. The source code used can be downloaded from: https://github.com/JonasRzez/jpsnewnoise.git

opencc-zeroDec 2017View details →

Data from: Three decades of annual growth, mortality, physical condition, and microsite for ten tropical rainforest tree species

In lowland tropical rainforest, hundreds of tree species typically occur within mesoscale landscapes (50-500 ha). There is no consensus ecological theory that accounts for the coexistence of so many species with similar morphologies and the same fundamental requirements of light, nutrients, water, and physical space. In part this is due to the limited understanding of post-establishment ecology for the vast majority of tropical tree species. Of even more concern is the lack of understanding of how these trees are responding to on-going atmospheric and climatic changes. Here we present long-term data on the post-establishment ecology of ten species of tropical rainforest trees that span a broad life-history spectrum. The study site was upland (non-swamp) old-growth tropical wet forest at the La Selva Biological Station (N.E. Costa Rica). Focal individuals from established seedlings to mature trees were assessed annually, with an emphasis on accuracy and long-term consistency of the observations. The annual time-step, rare for longterm studies in tropical rainforest, captures the typically abrupt changes in forest structure and light environments, the frequent instances of major physical damage, and the trees' responses to these events and to interannual and long-term climatic variation. With the completion of the study in 2016, the data for survivorship, growth, and microsite conditions span 4499 individuals and 34 years. The first ten years of these data were published as an Ecology/Ecological Archives data paper in 2000 (Clark and Clark 2000), with two subsequent update publications (Clark and Clark 2006, 2012). This final update adds the final six years of observations, digitized field comments, and histories of points of measurement on the trees. The metadata now include the scanned original field data-sheets for the entire study and a narrative detailing the annual qa/qc of the data. The data set is unique for its scope (years of continuous annual measurements, number of monitored individuals), the in-depth documentation, and the unrestricted data access. The data have been used to study life history patterns, tree ecology through ontogeny, and effects on tree performance from interannual and long-term climatic and atmospheric change. They have also contributed to numerous remote-sensing studies.

opencc-zeroDec 2018View details →

Data from: Physical, chemical, and functional properties of neuronal membranes vary between species of Antarctic notothenioids differing in thermal tolerance

Disruption of neuronal function is likely to influence limits to thermal tolerance. We hypothesized that with acute warming the structure and function of neuronal membranes in the Antarctic notothenioid fish Chaenocephalus aceratus are more vulnerable to perturbation than membranes in the more thermotolerant notothenioid Notothenia coriiceps. Fluidity was quantified in synaptic membranes, mitochondrial membranes, and myelin from brains of both species of Antarctic fishes. Polar lipid compositions and cholesterol contents were analyzed in myelin; cholesterol was measured in synaptic membranes. Thermal profiles were determined for activities of two membrane-associated proteins, acetylcholinesterase (AChE) and Na+/K+-ATPase (NKA), from brains of animals maintained at ambient temperature or exposed to their critical thermal maxima (CTMAX). Synaptic membranes of C. aceratus were consistently more fluid than those of N. coriiceps (P < 0.0001). Although the fluidities of both myelin and mitochondrial membranes were similar among species, sensitivity of myelin fluidity to in vitro warming was greater in N. coriiceps than in C. aceratus (P < 0.001), which can be explained by lower cholesterol contents in myelin of N. coriiceps (P < 0.05). Activities of both enzymes, AChE and NKA, declined upon CTMAX exposure in C. aceratus, but not in N. coriiceps. We suggest that hyper-fluidization of synaptic membranes with warming in C. aceratus may explain the greater stenothermy in this species, and that thermal limits in notothenioids are more likely to be influenced by perturbations in synaptic membranes than in other membranes of the nervous system.

opencc-by-nc-4.0Jan 2021View details →

Figure 4 in Effects of physical and chemical factors on Ephemeroptera (Insecta) assemblages in an urban river of the eastern Colombian Llanos

Figure 4. RDA classification diagram of the Ephemeroptera assemblage with respect to physical, chemical and bacteriological variables and sampling stations.

opencc-by-nc-4.0Jan 2021View details →

Figure 2 in Effects of physical and chemical factors on Ephemeroptera (Insecta) assemblages in an urban river of the eastern Colombian Llanos

Figure 2. Diversity of the Ephemeroptera assemblage at sampling stations in the Ocoa river. (A) Richness (0D, number of taxa); (B) Shannon diversity (1D, Hill numbers unit); C. Simpson dominance (2D, Hill numbers unit).

opencc-by-nc-4.0Jan 2021View details →

Figure 3 in Effects of physical and chemical factors on Ephemeroptera (Insecta) assemblages in an urban river of the eastern Colombian Llanos

Figure 3. Trends in the spatial variation of the diversity measures: Richness (0D), Shannon diversity (1D) and Simpson dominance (2D) in the primary axis and the ICOMO index in the axis secondary. Aquatic quality values: Optimum (0-0.2); Good (0.2-0.4); Doubtful (0.4-0.6); Inadequate (0.6-0.8); Awful (0.8-1). The GLM for Ephemeroptera's richness resulted in six models from lowest (best) AIC value. Coliform totals, ICOMO, nitrates, nitrites and temperature were significative variables in the models. The model six (6) had the best goodness of fit (R2 = 0,91); ICOMO and nitrates were the signiticative predictor variables with possitive effect in the model for the richness (0D) (Table 5).