Replication code and sample data used for above mentioned publication in Political Analysis.

Sraghvi/subset-0-fixed-nested-data dataset hosted on Hugging Face and contributed by the HF Datasets community

Raw runtimes for the program performance for burden based analyses, driver gene analysis, and clinical exploratory programs.

Nested Object Detection

## Overview

Nested Object Detection is a dataset for object detection tasks - it contains Motorcycle Pedestrian annotations for 373 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Raw runtimes for the program performance for burden based analyses, driver gene analysis, and clinical exploratory programs. Also includes runtimes for skew and scalability experiments.

R scripts to replicate the experiments in the paper.

Data integration plays a crucial role in the era of big data. The nested data are a combined set of observations from multiple sources and exhibit heterogeneity both at the source level and at the observational level. The complex nature makes it challenging to reasonably visualize and jointly analyze the nested data. In this article, we present a nonparametric Bayesian model to implement the tree-structured two-level clustering for nested data analysis. The two-level clustering is used to tease out the heterogeneity existing in the sources and observations, while a tree-structured prior is employed to model the latent hierarchy for clusters at the observational level. The proposed Bayesian model is flexible as it does not require an exact specification of cluster numbers or tree width/depth, and it can automatically learn the underlying tree structures among clusters of observations, thus, offering an insightful visualization of the nested data. We further provide a rigorous posterior sampling scheme via the partially collapsed Gibbs sampler and show the performance of the proposed method using simulation studies. Finally, the applications to two different types of nested data (multi-source image data and multi-subject single-cell expression data) demonstrate the advantages of the proposed Bayesian method. Supplementary materials for this article are available online.

Impervious surfaces such as paved roads, parking lots, and building roofs can affect the natural streamflow patterns and ecosystems of nearby streams. This data set summarizes the percent of impervious surface for subbasins in Massachusetts using a newly available statewide 1-m binary raster dataset of impervious surface for 2005. Subbasin boundaries include the entire upstream drainage area and are nested such that polygons for headwater basins and tributary streams will overlap with basin polygons delineated further downstream. This is one of three data layers in this data series publication.

Seasonal (May-Sep) daily surveys are conducted on Virginia Key, FL to document marine turtle nesting activity.

This data set contains sensitive biological resource data for seabird nesting colonies in coastal Hawaii. Vector points in this data set represent locations of seabird colonies. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set...

This is the raw data for tables 1 and 2 in Nested sampling cross-checks using order statistics. The file names for the MultiNest results in table 1 are:

MN_{PROBLEM}_{number of dimensions}d_efr_{MultiNest efr parameter}.txt

The file names for the PolyChord results in table 2 are:

PC_{PROBLEM}_{number of dimensions}d_nr_{PolyChord number of repeats}.txt

where PROBLEM specifies one of four test functions described in Appendix C

gaussian = Gaussian

mixture = Gaussian-log-gamma mixture

rosenbrock = Rosenbrock function

shells = Gaussian shells

Each file contains 100 rows (corresponding to 100 runs) and 8 columns

log evidence

error log evidence

KS statistic from test on all iterations

number of iterations

p-value from all iterations

Greatest KS statistic from tests on chunks of iterations

Iteration of start of chunk at which greatest KS statistic occurred

Bonferroni corrected p-value from greatest KS statistic from tests on chunks of iterations

Code for BCS Model for Multi-Way Nested Data. Research objective: evaluation of the BCS model on multi-way nested interval censored survival data using parameter recovery studies and a real-life data analysis on BIO-RESORT data, type of research: computational analysis of Bayesian model, method of data collection: simulation, type of data: R code

Mixed-methods designs, especially those where cases selected for small-N analysis (SNA) are nested within a large-N analysis (LNA), have become increasingly popular. Yet, since the LNA in this approach assumes that units are independently distributed, such designs are unable to account for spatial dependence, and dependence becomes a threat to inference, rather than an issue for empirical or theoretical investigation. This is unfortunate, since research in political science has recently drawn attention to diffusion and interconnectedness more broadly. In this paper we develop a framework for mixed-methods research with spatially dependent data—a framework we label “geo-nested analysis”—where insights gleaned at each step of the research process set the agenda for the next phase and where case selection for SNA is based on diagnostics of a spatial-econometric analysis. We illustrate our framework using data from a seminal study of homicides in the United States.

This data set contains sensitive biological resource data for raptors in Maryland. Vector points in this data set represent bird nesting sites. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Enviro...

This dataset includes daily nest attendance (proportion of time females spent at the nest), incubation constancy (proportion of time females maintained their nests at nest-specific incubation temperatures), nest temperature variation, and the duration of individual incubation bouts for three species of dabbling ducks (mallard, gadwall, and cinnamon teal) nesting in Suisun Marsh, California during 2015-2019.

Local confluence is an important property in many rewriting systems. The notion of critical pairs is central for being able to verify local confluence of rewriting systems in a static way. Critical pairs are defined already in the framework of graphs and adhesive rewriting systems. These systems may hold rules with or without negative application conditions. In this paper however, we consider rules with more general application conditions - also called nested application conditions - that are known to be equivalent to finite first-order graph conditions. The classical critical pair notion denotes conflicting transformations in a minimal context satisfying the application conditions. This is no longer true for combinations of positive and negative application conditions - an important special case of nested ones - where we allow that critical pairs do not satisfy the application conditions. This leads to a new notion of critical pairs which allows to formulate and prove a Local Confluence Theorem for rules with nested application conditions in the framework of adhesive rewriting systems based on the DPO-approach. It builds on a new Embedding Theorem and Completeness Theorem for critical pairs based on rules with nested application conditions. We demonstrate this new theory on the modeling of an elevator control by a typed graph transformation system with positive and negative application conditions.

FSL5.0

Collection description

This collection contains the factors derived from our analysis in Bolt et al. (2017) published in Journal of Neuroscience.

These factors were derived from a kind of exploratory factor analysis, known as bi-factor analysis. In the factor solution, there is a single general factor and several sub-factors within this general factor. The analysis was conducted on a set of 108 activation maps (i.e. activation from baseline) collected from both the Neurovault database (> 80) and the Human Connectome Project task data. For full details on each of the activation maps, please see Bolt et al. (2017).

Subject species

homo sapiens

Modality

fMRI-BOLD

Cognitive paradigm (task)

None / Other

Map type

Other

Blockchain data query: [DATA-583] Nested Safes - count + activity

170 Global export shipment records of Nested Boxes with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This data package contains one table with nest initiation and end dates and clutch sizes from Black Brant (Branta bernicla nigricans) at two breeding colonies in Alaska. Data include nesting period determined by either nest visits or light-level data recorded by geolocators attached tarsal bands.