Filter Results
2636480 results
Selected World Ocean Datasets of the CTD profiles with vertical resolution greater than 1 meter.
Data Types:
  • Dataset
  • File Set
This data set contains properties of the chromatin fiber sampled from molecular biosystems simulations and is created to support a manuscript "Submolecular-resolution 3D Simulations of the Oct4 Promoter Region Predict Structural Mechanism of Heterochromatin Formation". The included properties are radius of gyration (Rg_Mean), number of HP1-mediated inter-nucleosome bridges (nBridges_Mean), average size of HP1-mediated loops (mBRIDGE_loop_Mean). Each value is a mean over 100 simulation snapshots.
Data Types:
  • Dataset
  • File Set
This dataset contains the time series of axial peak tibial acceleration. We recruited 10 runners with high axial peak tibial acceleration. The participants performed a gait retraining session whilst running overground at 3.2 ± 0.2 m/s in self-selected footwear. Real-time auditory biofeedback on axial peak tibial acceleration was provided. The axial peak tibial acceleration was detected before and during the biofeedback-based intervention using a backpack system connected to a very lightweight accelerometer. We refer to the full paper for details on how the data were collected and processed. Data are from an experimental protocol approved by the Ethics Committee of Ghent University (bimetra identification number 2015/0864). The present dataset has been used to determine when runners change their level of peak tibial acceleration during over-ground running using an auditory biofeedback system. The folder 'Change-Point" contains the .cpa-files to be opened in the Change-Point Analyzer v2.3 software. The values of axial peak tibial acceleration are also stored in an Excel-compatible file 'change point analysis_data' . The spreadsheet comprising of 10 columns. Each column represents a participant. A column contains the values of axial peak tibial acceleration of the no-biofeedback condition (1.5 min. of baseline), followed by the biofeedback condition (2x10 min.). The total number of trials detected per participant equals 1853 ± 88 (mean ± SD).
Data Types:
  • Other
  • Tabular Data
  • Dataset
Presented data includes output files corresponding to structure optimisation of the systems dealt in the article. Refer the articles to understand the nomenclature and configuration.
Data Types:
  • Other
  • Dataset
The raw data and the experimentally obtained images captured in this study. The raw data can be opened by Origin software.
Data Types:
  • Dataset
  • File Set
Data: pseudonymised full data of the two cases analysed in "Math in the time of social media: a conceptualization of the Internet phenomenon of mathematical memes" Authors: Giulia Bini1, Ornella Robutti1, Angelika Bikner-Ahsbahs2 Affiliations: 1University of Turin, Italy, 2Universität Bremen, Germany Ambit: mathematics education Research: ethnographic research on the Internet phenomenon of the mathematical memes from an educational point of view. Period: February 2018 - current
Data Types:
  • Other
  • Dataset
  • Document
Termites are present in different environments, they perform the functions of cycling organic compounds in the soil and decomposing organic matter. Through this behavior, some species can generate great economic losses in the agricultural environment for some cultures. Such insects can communicate through semi-chemical and vibroacystic signals. These signals transmit different types of messages. The vibroacoustic signals occur when there is interaction between the generated vibrating waves, which can, consequently, generate understandable optical interference phenomena when light is applied, one of these phenomena that can be understood is the dynamic biospeckle. It is proposed in this research, to evaluate the bioactivity of the termite Nasutitermes corniger (Insecta: Isoptera) during the walk using the optical phenomenon of interference Biospeckle. Termites were collected in colonies present on the University campus of the Federal University of Sergipe-UFS. 25 individuals were randomly selected, distributed in 5 groups. Such individuals will be submitted to the simulation activity of walking in arenas created using Petri dishes (14 x 1.5 cm) which were exposed to laser light, during the movement of the insect videos were captured which were later processed using the Generalized Differences Method and the Moment of Inertia. It was possible to detect the areas of walking and of greater activities caused naturally by the groups of Nasutitermes corniger present in the arenas, as well as the method of MI showed to be significantly different when analyzed before and during the walking. Thus, it is possible to analyze the walking activity of Nasutitermes corniger by means of dynamic biospeckle in different types of light, which can be applied as a possible tool to evaluate the termite's bioactivity.
Data Types:
  • Image
  • Dataset
  • Text
These data correspond to that presented in the manuscript "Local evaporation controlled by regional atmospheric circulation in the Altiplano of the Atacama Desert" by Lobos et al. These data were collected in the E-DATA field campaign, performed in the Salar del Huasco, Chile, on November 2018.
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
  • Document
  • File Set
The research was conducted on the premise that natural forest contributes to the provision of ecosystem services, but they are dwindling at an alarming rate. Periodic monitoring is needed to provide information on the status of the forest to assist in management planning. This research, therefore, presents a spatiotemporal change detection analysis of the Nkandla Forest reserve in South Africa. The research looks into the decadal changes that took place between 1989 and 2019. Four forest cover types which are closed canopy, open canopy, grasslands and bare sites were mapped and assessed. There were consistent gains and losses among each of the cover types at each decade with the prominent changes occurring between the closed and open canopy forest. These changes were as a result of ecological and chronic anthropogenic factors. The prediction of the future forest cover distribution was done for 2029 and 2039. The prediction shows a decline in the closed-canopy forest, a moderate increase in the grassland and a marginal increse in the open canopy forest.
Data Types:
  • Dataset
  • File Set
This is a novel multi-fidelity data assimilation method that provides an alternative to EnKF.
Data Types:
  • Dataset
  • File Set
4