Fowlerrodriguez0303

Synthesis of other compounds - parent 1,4-DHPs 1 and 2, and 4-Py-1,4-DHPs 3-5, their characterisation, estimation of cytotoxicity and self-assembling properties for all 4-Py-1,4-DHPs 3-6 are reported herein for the first time. Information provided in this data file can be used in medicinal chemistry by other scientists to estimate structure-activity relationships for the analysis and construction of various cationic 1,4-dihydropyridine derivatives and related heterocycles.Cadmium is one of the most hazardous heavy metal for aquatic environments and one of the most toxic contaminants for phytoplankton. This work provides the dataset associated with the research publication "Effect of cadmium in the microalga Chlorella sorokiniana a proteomic study" [1]. This dataset describes a proteomic approach, based on the sequential window acquisition of all theoretical fragment ion spectra mass spectrometry (SWATH-MS), derived from exposure of Chlorella sorokiniana to 250 µM Cd2+ for 40 h, showing the proteins that are up- or downregulated. The processing of data included the identification of the Chlamydomonas reinhardtii protein sequences equivalent to the corresponding of Chlorella sorokiniana sequences obtained, which made possible to use KEGG Database. MS and MS/MS information, and quantitative data were deposited PRIDE public repository under accession number PXD015932.This article describes data collected to analyze consumer behaviors in vulnerable populations by examining key access constraints to nutritious foods among households of differing socio-economic status in urban and peri‑urban areas of Nairobi, Kenya. The key variables studied include wealth status, food security, and dietary behavior indicators at individual and household level. Household food insecurity access scale (HFIAS), livelihood coping strategies (LCS), food expenditure share (FES), food consumption score (FCS), household dietary diversity score (HDDS), minimum dietary diversity-women(MDD-W), and child dietary diversity score (CDDS) indicators were used to measure food security. Household assets were used to develop an asset-based wealth index that grouped the study sample population into five wealth quantiles, while income levels were used to estimate FES. The hypothesis that guided the cross-sectional survey conducted to generate these data is that vulnerability to food insecurity and poverty are important drivers of food choice that influence household and individual dietary behavior. Data from this study was thus used to assess direction and strength of association between; household food insecurity, wealth status, women, children, and household dietary behavior in both urban and peri‑urban populations sampled.One of the objectives of groundwater numerical modeling is to accurately reproduce the flow velocity field and the flow and transport pathways. In this article the hydro-stratigraphic dataset, used in the co-submitted article "Modeling the interference of underground structures with groundwater flow and remedial solutions in Milan" (De Caro et al., 2020) [1], is presented. DS-8201a The work aims to reconstruct the spatial variability of the hydraulic parameters in the shallow aquifers of the Milan City area (northern Italy) and to integrate them in a groundwater flow 3D finite element method (FEM) numerical model. This objective is achieved by converting qualitative borehole logs stratigraphic information into hydrogeological parameters (e.g. hydraulic conductivity and porosity) and by interpolating these parameters over the finite element mesh nodes by means of 3D kriging techniques. The modeling domain and the mesh nodes, the boundary surfaces between the aquifers as well as some of the piezometric data used to calibrate the model are presented to make the numerical experiment reproducible.This article describes a dataset collected in a set of experiments that involves human participants and a robot. The set of experiments was conducted in the computing science robotics lab in Simon Fraser University, Burnaby, BC, Canada, and its aim is to gather data containing common gestures, movements, and other behaviours that may indicate humans' navigational intent relevant for autonomous robot navigation. The experiment simulates a shopping scenario where human participants come in to pick up items from his/her shopping list and interact with a Pepper robot that is programmed to help the human participant. We collected visual data and motion capture data from 108 human participants. The visual data contains live recordings of the experiments and the motion capture data contains the position and orientation of the human participants in world coordinates. This dataset could be valuable for researchers in the robotics, machine learning and computer vision community.The data presented in the article consist of petrographic types and grain shape parameters of beach gravels collected along the Pogorzelica-Dziwnów coast section (363.0 to 391.4 km of the coastline), southern Baltic Sea, Poland. Representative gravels with the diameter of 2-5 cm were sampled at 0.25 km intervals, in the middle part of the beach. The contribution of mechanically high resistant crystalline components (igneous and metamorphic rocks granites and gneisses) and low resistant (sedimentary rocks limestones, sandstones, and shales) has been presented. The Cailleaux and Zingg grain shape parameters were estimated taking laboratory measurements (3D-axis dimensions, flatness/roundness indices). The calculations have been provided based on the gravels weight and quantity. The obtained grain shape parameters depend on factors such as resistance to mechanical destruction or increased chemical weathering, being evidenced by several indices, such as the proportions between discoidal and ellipsoidal grains, or amount of spindle-shaped gravels. The calculated indices may serve as potential indicators of coastal lithodynamics, including intensity of sediment redeposition or mechanical reworking of the beach.The data presented in this brief paper aims to summarize the overall results of 82 consecutive patients surgically treated over 20 years for a giant intracranial aneurysm (GIA) in the context of the endovascular era. Data were retrospectively collected from the database of two different tertiary referral Italian hospitals. A retrospective analysis of the patients' cohort was performed. Data are presented as they relate to the demographic and clinical aspects, the prevalence of GIAs according to anterior and posterior circulation, aneurysm angioarchitectural features, surgical treatment options, complications, outcome, and main microneurosurgical techniques required explicitly for GIAs, namely temporary clipping, aneurysm remodeling, thrombectomy, fragmentation, and bypass. Furthermore, data about the effects of implementing the flow-diverter/flow-disruptor on the surgical case volume over the years are also reported. The data presented herein are related to our previously published research article titled "Surgical Management of Giant Intracranial Aneurysms Overall Results of a Large Series" (2020) [1].