Contributors:AA A, Elsevier Mahesh, Live Natsci, cosar emre
Version1: NatSciLive Natra, Mahesh Live
Version2: Mahesh Live, NatSciLive Natra
Version3: Rehan Ahmad, NatSciLive Natra, Mahesh Live
Version4: Mahesh Live, Rehan Ahmad
Version5: A AA, Rehan Ahmad, Mahesh Elsevier
Version6: A AA, Mahesh Elsevier, Rehan Ahmad, Natscie Live
Version7: A AA, Mahesh Elsevier, Natscie Live
Version8: Mahesh Elsevier, Natscie Live, A AA
Version9: , Natsci Live, Mahesh Elsevier, A AA
Version10: , Emre Cosar, A AA, Mahesh Elsevier, Natsci Live
Contributors:Alakus Talha Burak, Gonen Murat, Turkoglu Ibrahim
This dataset includes computer games-based EEG signals. They are collected from 28 different subjects with wearable and portable EEG device called 14 channel Emotiv Epoc+. Subjects played emotionally 4 different computer games (boring, calm, horror and funny) for 5 minutes and totally 20 minutes long EEG data available for each subject. Subjects rated each computer game based on the scale of arousal and valence by applying SAM form. We provided both raw and preprocessed EEG data with .csv and. mat format in our data repository. Each subject's rating score and SAM form are also available. The aim of this dataset is to provide an alternative data for emotion recognition process and show the performance of wearable EEG devices against traditional ones. In the main folder (GAMEEMO) researches will find 29 different folders (28 for subjects and 1 for gameplay). S01, S02, ... represents the subjects who participated in the experiment. Gameplay folder shows the gameplay of each game. In each subjects folder, researchers will find preprocessed EEG data, raw EEG data csv and .mat format. Also SAM ratings are available with .pdf format. Games are represented as G1, G2, G3, and G4. G1 refers Game 1, G2 refers G2, and so on.
Raw data utilised to plot the graphs presented in the article. A combination of potentiostatic and potentiodynamic polarisation tests was carried out in order to investigate metastable pitting behaviour for 316L stainless steel. In-situ imaging was performed simultaneously to the potentiostatic polarisation of specimens. The compressed version of the videos obtained from the described in-situ imaging (also described in the manuscript) was added to this data set for readers reference.
Those additional supplemental data includes figures, raw image galleries, quantification tables and movie, which are complementary to the main-text figures 1-4 and supplemental figure S1-S4.
Validation of the E14TG2a mESC line used in this study. (A) Representative images of the mESC morphology and alkaline phosphatase (AP) staining when cultured in complete medium (CM) with LIF+2i. (B) Cells cultured in N2B27 medium with bFGF/ActivinA for five days show EpiSCs cell morphology and decreased AP staining. (C) Growth curve of mESCs and mEpiSCs, with cell doubling time indicated in the plot. Scale bar in (A) and (B): 100 um.
Expression of histone-Dendra2 fusion proteins have no apparent effect on the cell cycle progression of mESCs. (A) Western blot analysis of non-transgenic wild-type (WT) mESCs and transgenic mESCs expressing H3-Dendra2, H4-Dendra2, H2A-Dendra2, H2B-Dendra2 and H3.3-Dendra2, respectively. The sizes of histone proteins are ~15 KD, the sizes for Histone-Dendra2 fusion proteins are ~40 KD, as indicated in the panel. (B) The cell cycle profiles obtained using DNA content analysis (PI staining) with FACS (Fluorescence Activated Cell Sorting). (C) Growth curves of non-transgenic WT-mESCs and each histone-Dendra2 transgenic mESC lines, with cell doubling times indicated in the panel. (D) The percentage of EdU-positive cells with 30-minute EdU pulse labeling in H3-Dendra2, H4-Dendra2, H2A-Dendra2, H2B-Dendra2 and H3.3-Dendra2 transgenic mESCs. (E) The “stemness” identity of the mESC line carrying the H3-Dendra2 transgene, confirmed by immunofluorescent signals for ESC markers, including Nanog, Rex1, Oct4, Sox2 and SSEA-1. Scale bar in (E): 20 um.
Schematic depiction of a model for different histone distribution patterns with Wnt3a-induced ACD of mESCs. (A) With Wnt3a bead, non-overlapping histone H3 and H4 regions could be explained by regional conservative mode of nucleosome reassembly during DNA replication, shown as [Model (1) in (E)]. (B) The separable signals are lost in symmetrically dividing mESCs, which could be due to dispersive mode of nucleosome reassembly during DNA replication, shown as [Model (2) in (E)]. (C) The symmetric histone distribution patterns of H2A and H2B during ACD of mESCs. (D) DNA replication-independent model, which applies to H3.3. (E) Distinct nucleosome reassembly modes [(1) conservative versus (2) dispersive] during DNA replication could have regional specificities: the conservative model could occur at gene regions that need to be differentially expressed in the two daughter cells derived from Wnt3a-induced asymmetrically dividing mESCs, such as stemness genes, differentiation genes, or Wnt signaling pathway target genes. On the other hand, for those genes whose expression is similar between the two daughter cells, such as housekeeping genes and genes silenced in mESCs, the dispersive model could be applied to make sure the sister chromatids inherit the identical epigenetic information.
Contributors:Freire de Carvalho Espírito Santo Yuri
The Marfan’s syndrome is an autosomal dominant genetic disease that affects connective tissue, with an incidence of approximately one case for every 5000 individuals. Cardiovascular involvement often occurs in adulthood. As the most common manifestation of the syndrome, ascending aortic aneurysm frequently leads individuals to conditions of clinical emergencies, the emergency room and intensive care unit are a common sites for diagnosing cardiac disorders in patients with Marfan. In this article we find the case report of a 41-year-old patient with a history of chest pain, signs and symptoms of heart failure, admitted to the ICU, with phenotypic manifestations of the disease, whose aortic aneurysm was diagnosed during the initial examination of POCUS. As it is a relatively rare diagnosis, in a rural patient who until now was unaware of the diagnosis itself, the result of which was identified in a routine examination in the ICU, performed with a portable device, the ability to change the outcome of a disease with high morbidity and mortality with a simple exam, easy to access and with low training requirements in a highly complex unit, even in distant care units in a population with low socioeconomic status. This article aims to show how a simple examination, POCUS, performed with a handheld device, is able to identify complex, high-impact diseases.
The dataset contains two folders.
1. In the "virtual_microscopy" folder, you can find a short screen recording showing how PetroScan works. PetroScan is the built-in toolbox of Virtual Petrography (ViP) platform used for displaying digital thin section images under different modes. The video records the extinction behavior and the change of inference color of quartz and mica in a mylonite sample under cross-polarized when moving the angle selection wheel.
2. "Superpixel_evaluation_example" contains boundary maps and raw images of a subarea of Bentheimer Sandstone. The superpixel segmentation results using different superpixel algorithms can be found in the subfolder "qualitative_evaluation".
Contributors:Spielhofer Reto, Thrash Tyler, Wissen Hayek Ulrike, Grêt-Regamey Adrienne, Salak Boris, Grübel Jascha, Schinazi Victor R.
This dataset contains physiological (skin conductance) and behavioral (choice) data for 14 audio-visual stimuli. Each stimuli is composed of the variable landscape type (LANDSCAPE) with seven levels, and the variable amount of renewable energy infrastructure (SCENARIO) with two levels. The audio-visual stimuli are provided as high resolution videos. In addition, the statistical analysis is also published here as R-code.
The first dataset is the geographical coordinates, host species identity and Echinococcus mutilocularis data of carnivore faeces collected in a rural town and its surroundings in the Eastern part of France (006°26’46”E, 46°56’53”N). Data were collected every two months between March 2017 and November 2018.
The figures represent Kulldorff statistics on the spatial distribution of Echinococcus multilocularis via carnivore faeces.
The last dataset is a video of microscopic observation and sampling of taeniid eggs one by one with a Leica DMI3000-B micromanipulator.