Steffensenjohnsen5432

A survey about orientations, boot camps, and pre-matriculation programs in schools/colleges of pharmacy was approved by the South College Institutional Review Board (IRB). The survey was sent electronically to Assistant/Associate Deans of Academic Affairs or administrators in similar positions at schools/colleges of pharmacy in October 2016. The survey was closed two months later, in December, with 50 responses. The data that was collected from the survey included characteristics and components of orientations, boot camps, and pre-matriculation programs, such as session content and the frequency sessions appeared. The survey also collected descriptive information from respondents regarding certain demographics related to their schools/colleges of pharmacy (e.g., public or private institutions, a 4-year program or a 3-year program). The data can be used by schools/colleges of pharmacy and other healthcare professions that wish to revise or establish orientations, boot camps, and pre-matriculation programs.The three datasets described in this paper were collected from online experiments distributed via Prolific.co participant system. Together, the three datasets comprise 9720 text responses of unexpected events participants predicted for everyday scenarios such as going shopping or preparing breakfast. Each event was labelled by at least two independent, human raters on their topic or category (relative to their initial scenario), the valence or sentiment of the event, and whether or not the event mentions words related to the goal stated in the initial scenario. We also include summary data from a pre- and post-test conducted in the course of these experiments, as well as the analysis code in the form of Jupyter Notebooks. We provide this data and relevant code for transparency and reproducibility alongside our Cognition paper. The dataset could be useful in training machine learning models on valence/sentiment of everyday unexpected events.This dataset presents data collected from three surveys, each among researchers, research administrators and policymakers across the six geopolitical zones in Nigeria. The data were collected from 513 researchers, 118 research administrators and 60 policymakers drawn from randomly selected organizations that are implicated in Social Science Research (SSR) in Nigeria, which include 53 universities; 5 research institutes; 17 government Ministries, Departments and Agencies (MDAs) and donors; 9 private consultancies; 26 civil society organisations, private consultancies; and 7 Houses of Assembly. The surveys assessed several factors that impart the production, dissemination and uptake of social science research (SSR) in Nigeria, including research personnel, funding, infrastructure, mentoring, communication practices and products, policy-friendliness, among many others. The data are important in understanding the status of SSR and its potential to influence sustainable development in a typical developing country like Nigeria. The usefulness of the data is many folds as every stakeholder in the research-policy-development nexus is implicated. Ultimately, the data is useful in characterizing SSR system and formulating policies to boost its status and potential.We describe here a multiproxy dataset (grain size, environmental magnetism, stable carbon isotope, total nitrogen, and total organic carbon) generated on a ~116 cm long trench profile from the high altitude alpine Badnikund lake in the Central Himalaya. The dataset also includes environmental magnetic and organic geochemistry data on catchment soils of the Bednikund lake. The presented data is related to the research article "Middle Holocene Indian summer monsoon variability and its impact on cultural changes in the Indian subcontinent" [1]. The chronology of the Bednikund lake trench (BBK) profile is well established with seven AMS 14C dates. The multiproxy data is provided in tabular format in an excel file along with ages in Mendeley Data Repository. The multiproxy data can be significantly utilized for regional correlation of Indian summer monsoon (ISM) variability during the middle Holocene as well as for correlation of global climatic events. The data can also be reutilized in paleoclimate modelling for precipitation change over the past ~6000 years.This data article describes a dataset of data breaches in US listed firms over a ten-year period. Data breaches represent major events that pose serious challenges to organisations. The number of incidents has been on the increase over the last decade and this has attracted the interest of the media, consumers and regulators. While there is a well-established literature on cybersecurity in Computer Science and Information Systems journals, studies exploring the economic and business impacts of data breaches represent a relatively recent phenomenon. There is a nascent but fast-growing literature in accounting, finance and economics that focuses on the financial impacts of data breaches and this dataset provides a useful resource for future studies in this space. By providing data on the company identifier, the type of breach, the dates of breach disclosure, and relates these dates to the company's fiscal year, the dataset can be merged quickly with existing accounting and finance datasets. The dataset includes data on 506 incidents over a ten-year period thereby enabling cross-sectional and longitudinal analyses.Moricandia is a genus belonging to the family Brassicaceae. read more C3 and C3-C4 photosynthesis Moricandia species exist in a close phylogenetic proximity, as well as to Brassica crops. Here, we performed PacBio genome sequencing on M. moricandioides and M. arvensis. The genomes were assembled using Flye assembler, then polished with Illumina reads and reduced duplication with Purge Haplotigs. The total length of genome assemblies of M. moricandioides and M. arvensis was 498 Mbp and 759 Mbp, respectively. These data will be useful for studies of the genetic control of C3-C4 characteristics, therefore gaining new insights into the early evolutionary steps of C4 photosynthesis. Further, it can be integrated into Brassica crop breeding. The data can be accessed at ENA under the project number PRJEB39764.