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  • This dataset comprehends data and and associated R code used to run the analysis for the paper. We also include an R Markdown Dynamic document. We tested whether the amount of melanomacrophages and hepatic cellular catabolism substances are influenced by land use changes in the Brazilian Cerrado. Data contains the Environmental matrix (Q) composed of the land use classes for each samplimg site, species trait (R) matrix with content of each pigment in cells, averaged from all individuals, and species composition matrix (L) with the species incidence in all sampling sites.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • File Set
  • A method for measuring snow adhesion has been developed and tested. The present dataset represent the resulting data from this testing. Testing was performed in a controlled environment and using synthetic snow, in order to make the results as reproducible as possible. The data is structured so as to be self-explanatory given a context is provided as above, and include time and date of each sample run. This allows for analysis of the temperature and humidity stability.
    Data Types:
    • Tabular Data
    • Dataset
  • Data and R-script corresponding to the article of Fayard et al. "Magnitude and direction of parasite-induced phenotypic alterations: a meta-analysis in acanthocephalans"
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • This database compiles five indicators regarding working conditions: fatal occupational injuries, non-fatal occupational injuries, forced labour, part-time employment and temporary employment. Each of the five indicators is provided for 44 regions according to WIOD Release 2016 regional structure and is disaggregated by economic activity according to the International Standard Industrial Classification of All Economic Activities (ISIC) Rev. 3. Therefore, this dataset is suitable to be introduced as a social satellite account in a multi-regional input-output model. Data has been compiled from official sources as ILOSTAT, EUROSTAT or OECD Data among others. Data coming from different databases have been homogenized, and in some cases estimation has been required. Main sources are specified in the dataset. For further information about the generation process of the dataset, please check García-Alaminos Á, Monsalve F, Zafrilla J, Cadarso MA (2020) Unmasking social distant damage of developed regions’ lifestyle: A decoupling analysis of the indecent labour footprint. PLOS ONE 15(4): e0228649. https://doi.org/10.1371/journal.pone.0228649. For any question, you can contact the author at angela.garcia@uclm.es.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • We included aggressive, negative emotional, and neutral words in attention and memory bias tasks. The data collected in the present study reveals the characteristics of attention and memory biases of individuals with fragile high self-esteem.
    Data Types:
    • Tabular Data
    • Dataset
  • 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.
    Data Types:
    • Image
    • Tabular Data
    • Dataset
  • The field work was conducted on the three consecutive days, during the P. sicula mating season (end of May/beginning of June 2018), between 10:00 and 15:00 hours, under sunny and low wind conditions. Antipredator behavior was tested on 38 mainland (ML) and 34 islet (ISL) adult males.
    Data Types:
    • Tabular Data
    • Dataset
  • 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
    Data Types:
    • Software/Code
    • Image
    • Dataset
    • Text
    • File Set
  • Data include: Sequences from parasites belong to two genera of Haemosporidia. Hematocrit and white blood cell counts from the host during the experiment. Band count and PCR score from the triplicate molecular diagnosis (before and after the MG infection)
    Data Types:
    • Sequencing Data
    • Tabular Data
    • Dataset
  • The three-dimensional (3-D) image-based TPS (RT-RSI, Beijing Atom and High Technique Industries Inc, Beijing, China) was applied to delineate the shape and calculate the maximum cross-section (axial section) and volume of preoperative tumor and postoperative ablation range (a medical physicist, designed and corrected the calculation). We used TPS to sketch the 3-D shape of the tumor and ablation range, as shown in Fig. 5. Preoperative maximum tumor area (PreMTA) and preoperative tumor volume (PreTV) were the largest cross-sectional area and the volume of CT image of the tumor before ablation, respectively. Postoperative maximum ablation area (PostMAA) and postoperative ablation volume (PostAV) were the largest cross-sectional area and the volume of CT image of ablation necrosis after the procedure, respectively. Two of the authors (Dr. Zhenkang Qiu and Dr. Guobao Wang) were in charge of delineating work, and the TPS calculated PreMTA, PreTV, PostMAA and PostAV automatically. Volume ratio was calculated as the volume in a cubic centimetre PostAV divided by PreTV. Area ratio was calculated as the area in square centimetre PostMAA divided by PreMTA. Contrast-enhanced CT or MR scans were performed in all patients one month after treatment for evaluating tumor response to thermal ablation. Based on the follow-up CT or MR results, the technique effectiveness was determined as described elsewhere. The ablation was considered a success when all of the following findings were observed at follow-up CT or MR scans. We were in charge of collecting follow-up data, including the level of tumor sizes, the existence of a residual tumor, tumor recurrence, progression of the primary tumor and the overall condition of each patient. The data were acquired using CT or MR scans, direct patient contact, or review of medical records stored in the Department of Medical Records of Sun Yat-sen University Cancer Center.
    Data Types:
    • Tabular Data
    • Dataset
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