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  • This is the final result data of the paper 'Where Marine Protected Areas would best represent 30% of ocean biodiversity'. The side length of each cell is 100 km along lat and lon. In the tif file the priority value in each cell from low to high is from '0' to '1'. The cells in the first row & column and last row & column are no data cells (having the value '-1' as the same as the land cells) due to the necessity of Zonation algorithm. The top 30% prioritized cells were selected as the 'the Prioritized Area' in the paper.
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  • Kaplan-Meier survival curves for acral lentiginous melanoma (ALM) and non acral lentiginous melanoma (non-ALM).
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  • The topographic data were used in the paper about paleoearthqakes of the Xiaojiang fault zone.
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  • This data was collected from households with experience of flood hazards and disaster in northern Ghana using interviews and focus group discussions. It comprises both quantitative and qualitative responses from householders, seeking to measure the relationship between early warning communications and local responses to flood risk prevention. There are questions on households' knowledge of early warning communication systems, strategies and channels, households prior exposure to floods, the types of local actions adopted to mitigate flood risk and the nature of post-reconstructions interventions they have been part of. We set out to test the relationship between flood experience and households risk response behaviour using multivariate logistic regressions and bi-variate analysis such as chi-square. We found that flood experience significantly impacted the risk response adopted by householders. Similarly, the emotional state of households significantly influenced the local actions to prevent flood risk. Among the early warning communication channels adopted by disaster authorities, local FM radio proved to be more effective on the decisions of households relative to the adoption of risk mitigation measure. Despite this, based on data from 68 households and 6 separate focus groups, we found that, Early Warning information did not lead to effective local actions in disaster hot spot communities. Households were concerned about loss of properties and lives during flood disasters; nonetheless they were less likely to move away from disaster prone areas, citing factors such as inter-generational belief systems, cost of relocation, soil fertility around the riverbanks and fear of losing ancestral lands.
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  • Many qualitative and quantitative metrics have been developed to analyze the output of limited-channel EEG recordings in neonates. A significant roadblock in the widespread dissemination of these techniques is the device-specific, “black-box” nature of the analytic algorithms, preventing comparison between studies and the obsolescence of old recordings as software is abandoned. We have developed NEAT (Neonatal EEG Analysis Toolbox) as an open-source software platform to overcome these challenges. NEAT runs within MATLAB and is designed to work with any single-channel EEG input, regardless of source or sampling rate. This package includes MATLAB source code and a sample recording file for testing purposes. System Requirements: MATLAB r2016a or later Signal Processing Toolbox Current Version Features (r1 - 06/21/2017) -Includes two command-line MATLAB functions to generate aEEG signal and calculate spectral edge frequency -Includes experimental GUI, allowing for linked navigation of raw/aEEG signals
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  • In vivo replicas were obtained in the mid buccal premolars using polyvinylsiloxane impression material. Positive replicas were then collected using a polyether impression material. All replicas were inspected by a scanning electron microscope (SEM). In vitro, each tooth was prepared for fluid flow measurement during which the pulp chamber was filled with Ringer’s solution and the pressure in the pulp cavity was set at 0, 20, 100 and 200 mmHg above atmospheric. All replicas were obtained with each of the different pressures exactly the same procedure as that of in vivo.
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  • This program, originally released with Sipkens et al. (2020a), is designed to invert tandem measurements of aerosol size distributions. This includes the inversion of particle mass analyzer-differential mobility analyzer (PMA-DMA) data to find the two-dimensional mass-mobility distribution. Earlier versions of this software are archived with Zenodo (cf. 10.5281/zenodo.3692122). This repository is hosted on GitHub at https://github.com/tsipkens/mat-2d-aerosol-inversion. This version corresponds to v2.1 of this code.
    Data Types:
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  • This data set contains 37 experimental data on dehydration kinetics of Xiuyan Jade (antigorite). The experimental condition of each sample is marked afte each sample name in each file name.
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  • This dataset was produced to investigate shadows detection in terrestrial images and light-sources interpolation methods. Source code for reproducing the results described in the published articles is also included.
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  • This dataset consists of 348 non-zero onset Vietnamese speeches (with their transcripts and the labelled start and end times of each speech) extracted from approximately 30-hour of FPT Open Speech Data (released publicly in 2018 by FPT Corporation). The extraction process was done automatically by a Python program written by the contributor. The speeches are in *.mp3 format and *.wav format (Mono, 48 kHz, 32-bit float) while the transcript file is in *.txt format with utf-8 encoding scheme. The dataset is useful for any onset detection research and development since the start and end times of each speech are already labelled. Copyright 2018 FPT Corporation Permission is hereby granted, free of charge, non-exclusive, worldwide, irrevocable, to any person obtaining a copy of this data or software and associated documentation files (the “Data or Software”), to deal in the Data or Software without restriction, including without limitation the rights to use, copy, modify, remix, transform, merge, build upon, publish, distribute and redistribute, sublicense, and/or sell copies of the Data or Software, for any purpose, even commercially, and to permit persons to whom the Data or Software is furnished to do so, subject to the following conditions: The above copyright notice, and this permission notice, and indication of any modification to the Data or Software, shall be included in all copies or substantial portions of the Data or Software. THE DATA OR SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DATA OR SOFTWARE OR THE USE OR OTHER DEALINGS IN THE DATA OR SOFTWARE. Patent and trademark rights are not licensed under this FPT Public License.
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    • Text
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