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NSDF OpenVisus Tutorial - GEOtiled Terrain Parameters
The dataset includes terrain parameters of aspect, elevation, hillshade, and slope for Tennessee and a region covering Tennessee, North Carolina, and South Carolina generated at a 30m resolution by GEOtiled used for the NSDF OpenVisus Tutorial</a
Replication Data for: "Macroeconomic Effects of Dividend Taxation with Investment Credit Limits"
This is the replication package for "Macroeconomic Effects of Dividend Taxation with Investment Credit Limits," accepted in 2024 by the Journal of Political Economy Macroeconomics
An Eye-tracking Study
This is the study data for the manuscript An Eye-tracking Study on International Students Reading Chinese Scientific Texts with Different Types of Illustration
GenImage
You can find an easy to use download script here:
https://www.unbiased-genimage.org
This is an easy to use download of the GenImage dataset for AI-generated image detection. We provide this download, since the original GenImage download at Baidu is hard to use from countries outside of Asia.
GenImage:
https://genimage-dataset.github.io/
The dataset corresponds to our paper "Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets"
https://www.unbiased-genimage.org
We added a metadata CSV which contains additional information to the original GenImage download, such as JPEG quality factor or content class ID.
We removed 17 corrupted files from the original download, as listed in corrupted_files.txt
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Population Immunity to Pre-Omicron and Omicron Severe Acute Respiratory Syndrome Coronavirus 2 Variants in US States and Counties Through 1 December 2021
Archive with estimates used to produce results for 'Population Immunity to Pre-Omicron and Omicron Severe Acute Respiratory Syndrome Coronavirus 2 Variants in US States and Counties Through 1 December 2021
A systematic review and meta-analysis of the relationship between and the determinants and moderators of educational (in)equality and social learning behavior
The relationship between the educational (in)equality and social learning behavio
A numerical study of smoke concentration distribution near low-intensity fires: Sensitivity to vertical canopy structure and fire heat source strength
This is the companion dataset for the Journal of Applied Meteorology and Climatology manuscript "A numerical study of smoke concentration distribution near low-intensity fires: Sensitivity to vertical canopy structure and fire heat source strength" (see "Related Publication" in Metadata). The contents of the dataset are described in detail in the document "00_README_master" and in the metadata below. The manuscript abstract is as follows:
Broadly speaking, prediction of the negative impacts of prescribed fire on air quality is limited by gaps in our understanding of the underlying fire, fuels, and atmospheric processes. These knowledge gaps hinder our ability to accurately predict smoke concentration distributions, leading to unintended smoke intrusions into nearby communities and subsequent threats to public health and safety. In this study, numerical simulations are performed using the Flexible Particle Weather Research and Forecasting (FLEXPART-WRF) Model, a Lagrangian particle dispersion model, with particle motion driven by output from a full-physics atmospheric model with a forest canopy submodel and 10-m horizontal grid spacing [Advanced Regional Prediction System (ARPS)-CANOPY], to address two research questions. First, what is the relationship between near-fire (within ~50–150 m of fire) smoke concentration distribution and (i) vertical canopy structure and (ii) fire heat source strength? Second, what roles do mean transport (i.e., transport by the mean wind) and turbulent diffusion play in shaping the near-fire smoke concentration distribution? To address these questions, simulations are run with 25 combinations of plant area density profile and fire sensible heat flux magnitude, and smoke is represented by particles with diameters ≤ 2.5 µm (PM2.5). Results show that near-fire PM2.5 concentration distribution is primarily controlled by vertical canopy structure, with fire heat source strength primarily controlling the PM2.5 concentration magnitude. Analysis of the underlying ARPS-CANOPY variables driving the FLEXPART-WRF particle dispersion helps elucidate the roles of mean transport and turbulent diffusion. In total, the study findings suggest that the vertical distribution of canopy vegetation and fire heat source strength are important factors influencing PM2.5 dispersion and concentration distribution near low-intensity fires.
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Predictors and experiences of seeking abortion services from pharmacies in Nepal
Data used for the paper Predictors and experiences of seeking abortion services from pharmacies in Nepal
The Government Patent Register: Data and Documentation
This repository provides the Government Patent Register, a dataset of U.S. government interest patents sourced from administrative records, accompanying the following article: Gross, Daniel P. and Bhaven N. Sampat. 2025. “The Government Patent Register: A new resource for measuring U.S. government-funded patenting." Research Policy, 54(1), 105142
Replication Data for: Why do citizens support algorithmic government?
This dataset and accompanying code are provided to replicate all the figures and tables presented in the article 'Why do citizens support algorithmic government?' published in the Journal of Public Policy