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  • my first dataset in 2020
    Data Types:
    • Dataset
    • Document
  • Supplemental Figure 1. Molecular features of the present patient Supplemental Figure 2. Sites of the mutations in the domain structure of AP1B1
    Data Types:
    • Image
    • Dataset
    • Document
  • Clinical pictures of seven cases of SJS/TEN-like AGEP with widespread desquamation
    Data Types:
    • Dataset
    • Document
  • Explosive volcanic eruptions are severe natural phenomena that produce pyroclastic materials, eruption columns, and volcanic ash clouds. During moist weather conditions, volcanic eruption products can be coated with water, resulting in wet ash and/or mixtures of ash and rain. Wet ash, which is heavier than dry ash increases the risk of towers and poles collapsing, and rain mixed with volcanic ash is a harmful natural phenomenon that threatens human life, infrastructures, economies, agriculture, etc. Optical measurements, which are made with ground-based instruments (ex, two-dimensional video disdrometer (2DVD), parsivel, etc.), cameras, and satellites, are limited in their ability to detect volcanic ash clouds and eruption columns in cloudy or precipitation conditions. Weather radar is one of the key instruments for studying and monitoring both precipitation and volcanic ash clouds, since it can observe both types of system and can provide valuable information that can discriminate between the two systems through the use of polarimetric parameters. In this paper, our goal is to find characteristic of polarimetric parameters for volcanic ash clouds and precipitation using observed radar data, and to make a classification algorithm for discriminating two systems.
    Data Types:
    • Dataset
    • Document
  • Explosive volcanic eruptions are severe natural phenomena that produce pyroclastic materials, eruption columns, and volcanic ash clouds. During moist weather conditions, volcanic eruption products can be coated with water, resulting in wet ash and/or mixtures of ash and rain. Wet ash, which is heavier than dry ash increases the risk of towers and poles collapsing, and rain mixed with volcanic ash is a harmful natural phenomenon that threatens human life, infrastructures, economies, agriculture, etc. Optical measurements, which are made with ground-based instruments (ex, two-dimensional video disdrometer (2DVD), parsivel, etc.), cameras, and satellites, are limited in their ability to detect volcanic ash clouds and eruption columns in cloudy or precipitation conditions. Weather radar is one of the key instruments for studying and monitoring both precipitation and volcanic ash clouds, since it can observe both types of system and can provide valuable information that can discriminate between the two systems through the use of polarimetric parameters. In this paper, our goal is to find characteristic of polarimetric parameters for volcanic ash clouds and precipitation using observed radar data, and to make a classification algorithm for discriminating two systems.
    Data Types:
    • Dataset
    • Document
  • Dataset for "A systematic review of neurogenesis in animals models of early brain damage: implications for cerebral palsy". The dataset includes the systematic review protocol (PROSPERO), the search strategy used in each database, the reference list of 2329 articles found in databases, the exclusion reasons of "title and abstract screening phase" and "full-text screening phase", the reference list of included studies and the piloted form used for data extraction in the included studies
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • This paper disserts a video on YouTube of a toy tractor and badly loaded trailer. It presents the existence of a "timebomb" zone where terminal and mostly irrecoverable fishtailing occurs.
    Data Types:
    • Dataset
    • Document
  • Supplemental methods and figures.
    Data Types:
    • Dataset
    • Document
  • Supplementary material A presents the trial design and interventions of the PSO-LONG trial. Supplementary material B provides an overview of adverse events adjudicated as related to long-term corticosteroid use. Supplementary material C details the list of Principal Investigators who supported with the study.
    Data Types:
    • Dataset
    • Document
  • hypothetical protein - conserved
    Data Types:
    • Dataset
    • Text