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:Leger Tancrède , Hein Andrew, Bingham Robert, Martini Mateo, Rodrigo León Soteres García, Sagredo Esteban, Martínez Oscar
This open-access data comprises the twenty-six shapefiles necessary to visualise and analyse our glacial geomorphological map on a geographical information system (such as ArcGIS) (folder 01). All shapefiles are georeferenced in the WGS84 geographic reference coordinate system. Each of the 25 data folders comprise 7 file formats: .shp , .cpg , .dbf , .prj , .sbn , .shx , and Adobe Illustrator Tsume File (.sbx). To enable an easier download process, if required, we also provide the 26 shapefiles in .shp format only, together in folder 02. We further provide a table with recommended RGB colours per shapefile to enable optimum visualisation (folder 03). Please cite original publication when using and/or referring to these data.
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.
Contributors:Pecci Filippo, Stoianov Ivan, Ostfeld Avi
EPANET models and corresponding information needed to formulate the problem of optimal placement and control of valves and chlorine boosters in water networks for case studies used in "Tightened Polyhedral Relaxations of a Non-Convex Mixed Integer Program for Optimal Placement and Control of Valves and Chlorine Boosters in Water Networks" by Filippo Pecci, Ivan Stoianov and Avi Ostfeld (2020).
Filippo Pecci and Ivan Stoianov are supported by EPSRC (EP/P004229/1, Dynamically Adaptive and Resilient Water Supply Networks for a Sustainable Future). Avi Ostfeld is supported by the Israel Science Foundation (grant No. 555/18).
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.
Hydrological data (flow rates and piezometric levels), and physical-chemical (major ions and trace elements) and isotopic (δ18O, δ2H; and d-excess) analyses from rainwater, surface water and groundwater samples of a large sub-humid plain are presented. In total, 57 rainwater samples were collected on monthly basis using passive collectors installed at different altitudes (upper - 221 masl, middle - 145 masl and lower - 72 masl basin). Twelve surface water samples were obtained from three sampling sites located along the Del Azul Creek (upper basin - Site 1, middle basin - Site 2 and lower basin - Site 3) and from six wetlands which are located following the regional groundwater flow. Groundwater samples were sampled from 17 shallow boreholes (3 – 10 m, screened in their last meter) and 12 deep boreholes (30 m depth, screened between 25 and 30 m). In both surface water and groundwater sampling, superficial flow rates and piezometric levels were measured, and water samples for chemical and isotopic analyses were collected. Our data may improve the understanding of key hydrological processes controlling the water movement, and the chemical composition and chemical quality of water (i.e. arsenic, fluoride, nitrate, sulphate, alkalinity contents) in a large sub-humid agricultural plain.
Please do not hesitate to contact María Emilia Zabala (firstname.lastname@example.org) (Intituto de Hidrología de Llanuras “Dr. Eduardo J. Usunoff”, Argentina) and Ricardo Sánchez-Murillo (email@example.com) (Universidad Nacional, Heredia, Costa Rica) for further information regarding this data collection.
Background. Downs syndrome (DS) is the commonest of the congenital genetic defects. Its incidence has been rising in recent years for unknown reasons. Objective. Investigate the relationship of DS to substance- and cannabinoid- exposure; and causality.
Methods. Observational ecological population-based epidemiological study 1986-2016. Analysis performed January 2020. Geotemporospatial and causal inference analysis. Participants: Patients were diagnosed with DS and reported to state based registries; collated nationally. Data source: annual reports of National Birth Defects Prevention Network of Centres for Disease Control. Exposures: Drug exposure was taken from the National Survey of Drug Use and Health (NSDUH) conducted annually by Substance Abuse and Mental Health Services Administration. Nationally representative sample 67,000 participants annually. Drug exposures: cigarette consumption, alcohol abuse, analgesic/opioid abuse, cocaine use and last month cannabis use. Ethnicity and median household income: US Census Bureau. Maternal age of childbearing: CDC births registries. Cannabinoid concentrations: Drug Enforcement Agency seizures.
Results. NSDUH report 74.1% mean annual response rate. All other data was population-wide. DS rate (DSR) was noted to be rising over time, cannabis use, and cannabis-use quintile. In the optimal geospatial model lagged to four years terms including Δ9-tetrahydrocannabinol and cannabigerol were significant (from β-est.=4189.96 (95%C.I. 1924.74, 6455.17), P=2.9x10-4). Ethnicity, income, and maternal age covariates were not significant. DSR in states where cannabis was not illegal was higher than elsewhere (β-est.=2.160 (1.5, 2.82), R.R.=1.81 (1.51, 2.16), P=4.7x10-10). In inverse probability-weighted mixed models terms including cannabinoids were significant (from β-estimate=18.82 (16.82, 20.82), P<0.0001). EValues in geospatial models ranged up to infinity.
Conclusions. Our data show that the association between DSR and substance- and cannabinoid- exposure is robust to multivariable geotemporospatial adjustment, implicate particularly cannabigerol and Δ9-tetrahydrocannabinol, and fulfil causal crietria. Cannabis legalization was associated with elevated DSR’s. These findings are consistent with those from Hawaii, Colorado, Canada and Australia and concordant with several cellular mechanisms. Given that the cannabis industry is presently in a rapid growth-commercialization phase the present findings linking cannabis use with megabase scale genotoxicity suggest unrecognized DS risk factors, are of public health importance and suggest that re-focussing the cannabis debate on multigenerational and intergenerational health concerns is prudent.
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.