Data and code associated with "Dynamics of bistable Neel domain walls under spin-orbit torque"

Data and code associated with "Dynamics of bistable Neel domain walls under spin-orbit torque

Dataset associated with the paper "Exploring the effects of mineral depletion on renewable energy technologies net energy returns"

This dataset provides the input data and R code needed to fully reproduce the analysis conducted in the paper "Exploring the effects of mineral depletion on renewable energy technologies net energy returns." To do so, the code reads the material intensities of each renewable energy technology and the energy intensities of mining each material, and estimates the variation in net energy returns for each renewable energy technology. The methodology is described in-depth in the associated paper

A Practical Guide to Characterising Data and Investigating Data Quality

This guide is designed for data scientists to use in their day-to-day work, and describes a comprehensive list of tasks to perform when investigating data quality and profiling data, and a six-step recommended workflow. Each of the 62 tasks is articulated as a question (and sometimes several questions) to answer about your data. The guide also provides pointers to a Python package (vizdataquality) that implements the workflow, a film about visualizing data quality and other useful resources

Dataset for 'Single-cell nanobiopsy enables multigenerational longitudinal transcriptomics of cancer cells'

The dataset contains the following: 1) Main: contains the data used to generate the images, graphs and plots of the figures in the main manuscript. This folder contains the raw data. To learn about the methods, please refer to the main manuscript and supporting information file, where methods used for the experiments and data analysis are comprehensively described. 2) SI: contains the data used to generate the images, graphs, and plots of the figures in the Supporting Information file. This folder contains the raw data. To learn about the methods, please refer to the main manuscript and supporting information file, where methods used for the experiments and data analysis are comprehensively described. 3) DATA-Bioinformatics: contains the Sequencing Data, scripts and pipelines used to generate the graphs and plots for the nanobiopsy and the whole-cell datasets. These data are also freely accessible on the GitHub repository at the following link link: https://github.com/GliomaGenomics/GBM_N

Estimates of hydro-climatic suitability for malaria transmission in Africa

Hydrologically-based estimates of malaria season length across Africa. Estimates are made with water availability estimated using standard rainfall thresholds and more hydrologically-based estimates (including discharge and potential evaporation processes). Estimates of both malaria transmission season length and the number of months hydrologically-suitable for transmission (i.e. without temperature considerations) are provided separately

Data for 'Porous polymeric nanofilms for recreating the basement membrane in an endothelial barrier-on-chip'

The dataset contains all relevant pictures, AFM scans, Young Modulus related data, z-stacks confocal images, flurescence data releted to permeability experiments and Trans Endothelial Electrical Resistance measurments for the associated paper entitled "Porous polymeric nanofilms for recreating the basement membrane in an endothelial barrier-on-chip". All graphs originated from images or AFM scans can be reproduced following the relevant method section in the associated pubblication. The dataset is aimed at allowing users to re-analyze the data and reproduce the observations made in the associated publication

Dataset associated with "Functional performance of a bi-layered chitosan-nano-hydroxyapatite osteochondral scaffold: a pre-clinical in vitro tribological study"

The dataset contains material to supplement the experimental wear simulation study "Functional performance of a bi-layered chitosan-nano-hydroxyapatite osteochondral scaffold: a pre-clinical in vitro tribological study" including, additional details relating to methodology and raw scoring data

Dataset for 'The potential utilisation of contaminated biomass following phytoremediation'

The data preseneted here is the raw data from a PhD project, entitled "the potential utilisation of contaminated biomass following phytoremediation". The data presented contains biomass characterisation data of water hyacinth from India (Pune and Goyal Para); Uganda (three sites in Murchison Bay, Lake Victoria); and cultivated biomass from Aberystwyth University and Defiant Renewables Ltd. Also presented is data from alkali acid protein extraction trials are presented, containing data on variying feedstocks and conditions

Dataset for Airborne observations of ice-nucleating particles during the 2022 DCMEX campaign, New Mexico

Deep convective clouds play crucial roles in atmospheric processes, generating lightning, severe weather, and significant rainfall, while their extensive anvils reflect solar radiation. However, models face limitations due to a lack of understanding of microphysical processes in these clouds. Ice-nucleating particles (INP), essential for initiating primary ice production, have only rarely been measured in air directly relevant for convective clouds. This makes separating the roles of primary and secondary ice difficult to resolve. Here we report the abundance and likely composition of INP during the Deep Convective Microphysics Experiment (DCMEX) campaign in New Mexico, USA, using measurements made from the FAAM BAe 146 aircraft during flights over and around the Magdalena Mountains. INP were collected on filters during sampling circuits around the mountain range at varying altitudes and then analysed offline for immersion mode ice-nucleating activity using droplet freezing assays and composition using scanning electron microscopy

Total RNA sequencing of Ewing sarcoma cell lines and 3D spheroids

Total RNA seqeuncing FASTQ.gzip file