GOOD is a systematic graph OOD benchmark, which provides carefully designed data environments for distribution shifts.

Figures in scientific publications are critically important because they often show the data supporting key findings. Our systematic review of research articles published in top physiology journals (n = 703) suggests that, as scientists, we urgently need to change our practices for presenting continuous data in small sample size studies. Papers rarely included scatterplots, box plots, and histograms that allow readers to critically evaluate continuous data. Most papers presented continuous data in bar and line graphs. This is problematic, as many different data distributions can lead to the same bar or line graph. The full data may suggest different conclusions from the summary statistics. We recommend training investigators in data presentation, encouraging a more complete presentation of data, and changing journal editorial policies. Investigators can quickly make univariate scatterplots for small sample size studies using our Excel templates.

The graph shows the number of publications with a given number of citations of ^. The data are presented on a logarithmic scale for the sake of clarity.

We list the distribution of the 15 main hub gene degrees in the two graph prototypes. Here, is the number of genes with neighbors.

Graph and download economic data for Industrial Production: Utilities: Electric Power Generation, Transmission, and Distribution (NAICS = 2211) (IPG2211SQ) from Q1 1972 to Q2 2025 about power transmission, distributive, electricity, IP, production, industry, indexes, and USA.

The graph shows the number of publications with a given number of citations of ^. The data are presented on a logarithmic scale for the sake of clarity.

Exponents for the degree probability distribution, where γHVG is the exponent for an exponential fit of the HVG distribution and γVG for a power-law fit of the VG distribution.

The graph shows the number of publications with a given number of citations of ^. The data are presented on a logarithmic scale for the sake of clarity.

The file presenting a pore file distribution on a SiC ceramic structure made by mercury intrusion porosimetry method.

This graph shows the age distribution in the ***** U.S. Congress in 2009. ** Senators are of 70 years of age and older.

Germany - Distribution of population by household types: Two adults younger than 65 years was 16.00% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Distribution of population by household types: Two adults younger than 65 years - last updated from the EUROSTAT on December of 2025. Historically, Germany - Distribution of population by household types: Two adults younger than 65 years reached a record high of 17.10% in December of 2020 and a record low of 15.90% in December of 2009.

Dataset 4k processed for ML task for graph-based models. The Dataset is divided into training, validation, in-distribution and out-of-distribution testing subsets. Certain subsets are split using ZIP utility due to uploading restrictions.

All Employees: Transportation and Utilities: Natural Gas Distribution in California was 38.60000 Thous. of Persons in March of 2025, according to the United States Federal Reserve. Historically, All Employees: Transportation and Utilities: Natural Gas Distribution in California reached a record high of 41.30000 in July of 1991 and a record low of 29.80000 in October of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Transportation and Utilities: Natural Gas Distribution in California - last updated from the United States Federal Reserve on December of 2025.

The graph shows the distribution of Hispanic immigrants in the United States in 2018, by industry and region of birth. In 2018, about 17.24 percent of Mexican immigrants were working in construction.

All Employees: Utilities: Natural Gas Distribution in New Jersey was 4.70000 Thous. of Persons in December of 2018, according to the United States Federal Reserve. Historically, All Employees: Utilities: Natural Gas Distribution in New Jersey reached a record high of 4.70000 in July of 2017 and a record low of 3.30000 in December of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Utilities: Natural Gas Distribution in New Jersey - last updated from the United States Federal Reserve on November of 2025.

Czech Republic - Distribution of population by household types: Single person was 13.90% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Czech Republic - Distribution of population by household types: Single person - last updated from the EUROSTAT on December of 2025. Historically, Czech Republic - Distribution of population by household types: Single person reached a record high of 14.00% in December of 2022 and a record low of 9.40% in December of 2010.

Abstract

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on the known details at the time of acquisition.

This dataset was downloaded from the Department of Environment, Land, Water and Planning water monitoring website at: http://data.water.vic.gov.au/monitoring.htm?ppbm=websw&rs&3&rskr_org. An Explanatory document is included with the dataset.

Dataset History

This dataset was downloaded from http://data.water.vic.gov.au/monitoring.htm?ppbm=websw&rs&3&rskr_org.

Dataset Citation

Victorian Department of Environment, Land, Water and Planning (2015) Stream gauge data for GIP 1.1 flow distribution graphs. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/6014c882-d1e2-4470-aaa5-12d897f27bee.

This graph displays the age distributions of male veterans. In 2009, 1.2 percent of the male veterans were between 17 and 24 years old.

The graph shows the number of publications with a given number of citations of ^. The data are presented on a logarithmic scale for the sake of clarity.

This graph depicts the distribution of vending machines in Italy in 2018, by location. According to data, ** percent of vending machines were placed in manufacturing locations, while ** percent were in offices of companies. Overall, **** percent of vending machines were located in hospitals.