Mendeley Data Showcase

While contemporary work has begun to appreciate the functional diversity of ventral pallidum (VP), the molecular heterogeneity underlying its functional diversity remains incompletely understood. Here, we used snRNA-seq to define the transcriptional taxonomy of distinct cell types in the VP in mice (Mus musculus), macaques (Macaca mulatta) and baboons (Papio anubis). The dataset contains the snRNA-seq data and analysis meta data that are required to reproduce the independent snRNA-seq analysis for each species and integrated analysis, related to Fig 1,3 and 4 of the manuscript.

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

This dataset is from a survey of pedestrian perceptions of crosswalk usage behavior in Dhaka city. The survey was conducted based on 8 attributes and demographic characteristics (Gender, Age, Crosswalk Usage frequency, and whether they truly prefer crosswalk usage or not). The responses were collected using a 5-point Likert scale, with 1 representing a strong disagreement, to 5 representing a strong agreement. The survey was carried out for three months from May 2020 to July 2020 at the selected locations of Dhaka, Bangladesh (Baridhara, Banani, Gulshan-2, Badda, Bijoy Sarani, Panthapath, Saarc Fowara, Mouchak, Shantinagar, Dhanmondi, Shahabag and Kakrail Circle). 700 responses were collected in the selected crosswalk location employing five persons under rigorous supervision. The initial sample size was reduced to 682 after data screening where unengaged respondents and outliers were eliminated.

Models including cashflow and profit and loss statements of fifteen different cacao production systems in Colombia, Ecuador and Perú (in spanish).

The present dataset is the combined details of hourly load variation along with the hourly varying weather parameters. The load dataset has been obtained from one of the substations (location Ahmedabad) and weather parameters dataset has been extracted from the NASA open-source website.

This data is the empirical data for the article. The title of the article is 'AI, environmental regulation, and energy performance'

The Sky3D code has been widely used to describe nuclear ground states, collective vibrational excitations, and heavy-ion collisions. The approach is based on Skyrme forces or related energy density functionals. The static and dynamic equations are solved on a three-dimensional grid, and pairing is been implemented in the BCS approximation. This updated version of the code aims to facilitate the calculation of nuclear strength functions in the regime of linear response theory, while retaining all existing functionality and use cases. The strength functions are benchmarked against available RPA codes, and the user has the freedom of choice when selecting the nature of external excitation (from monopole to hexadecapole and more). Some utility programs are also provided that calculate the strength function from the time-dependent output of the dynamic calculations of the Sky3D code.

These directories contain source images used for all microscopy shown in the main and supplemental figure panels in "Heterochromatic 3D genome organization is directed by HP1a- and H3K9-dependent and independent mechanisms."

The following data is a transcription of interviews involving 7 informants related to the mentoring of ex-terrorism convicts at the Surakarta Correctional Center. The interviews were conducted in the context of "Research on Cooperation in Mentoring Terrorist Clients" which was carried out in 2021.

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.