CVS_DATAERRORS_TBL:

The data errors table was where any validation errors or height recalculation utility errors were sent. (Errors in terms of deviations from the established rules of the data collection procedures or project-specific data limitations). Error records corrected were moved to the ErrorHistory table and any remaining records were removed, including warnings, leaving this table blank.

A complete list of live websites using the Fix Structured Data Errors technology, compiled through global website indexing conducted by WebTechSurvey.

CVS_ERRORHISTORY_TBL:

This table definition is identical similar to the DataErrors table. The difference is that the error history table contains a record of every known error found in the CVS data (errors in terms of deviations from the established rules of the data collection procedures or project-specific data limitations) for which measurements did not exist as required. The errors identified here no longer exist in the database tables, however. The missing or erroneous data have been corrected or replaced through a local imputation process.

Some records over time have been moved to other tables not described in this document. These tables have the same fields as the ErrorHistory table.

Hospital pharmacies, observing their operations, can be classified within the concepts of complex socio-technical systems, subject to errors that affect the entire organization of work and, ultimately, can negatively impact safety and the best clinical outcome for patients, subject to errors that affect the entire organization of work and, ultimately, can negatively impact safety and the best clinical outcome for patients. This empirical study sought to evaluate, through the application of Human Reliability Analysis (HRA) techniques, disorders associated with errors in manual drug dispensing processes in a hospital pharmacy. Among the errors identified from the Hierarchical Task Analysis (HTA) and Systematic Human Error Reduction and Prediction Approach (SHERPA), it is evident that 73% focus on action and acquisition errors, relating to cognitive and management aspects, which is descriptively compatible with other studies already carried out. The taxonomy derived from the SHERPA method can be useful as a tool for classifying errors in pharmaceutical dispensing processes.

Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the importance of short-term (hours ahead) renewable generation forecasting in power systems operation, it becomes crucial to address the potential inaccuracies in these forecasts. To systematically evaluate the performance of controllers in the presence of imperfect forecasts, we generate synthetic forecasts using actual renewable generation profiles (one from solar and one from wind). These synthetic forecasts incorporate different levels of statistical error, allowing us to control and manipulate the accuracy of the predictions. The primary objective is to employ synthetic forecasts with controlled yet realistic error levels to systematically investigate how controllers adapt to variations in forecast accuracy, providing valuable insights into their robustness and effectiveness under real-world conditions.

Net errors and omissions (BoP, current US$) in China was reported at 10099379559 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Net errors and omissions, adjusted (BoP, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Intermediate annotations from the FEVER dataset that describe original facts extracted from Wikipedia and the mutations that were applied, yielding the claims in FEVER.

Net errors and omissions (BoP, current US$) in Japan was reported at 19449238242 USD in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Net errors and omissions, adjusted (BoP, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Chile: Balance of payments, net errors and omissions: The latest value from 2023 is 1496.76 million USD, an increase from -1771.8 million USD in 2022. In comparison, the world average is -638.70 million USD, based on data from 148 countries. Historically, the average for Chile from 1975 to 2023 is 138.17 million USD. The minimum value, -2765.92 million USD, was reached in 2020 while the maximum of 3252.38 million USD was recorded in 2011.

Abstract (en): Using recent results in the measurement error literature, we show that the official US unemployment rate substantially underestimates the true level of unemployment, due to misclassification errors in the labor force status in the Current Population Survey. During the period from January 1996 to August 2011, the corrected monthly unemployment rates are between 1 and 4.4 percentage points (2.1 percentage points on average) higher than the official rates, and are more sensitive to changes in business cycles. The labor force participation rates, however, are not affected by this correction.

Datasets to evaluate the performance of point-based, rigid-body registration may be downloaded from this site. Registration is the process of transforming one coordinate frame to another coordinate frame. The datasets contain 3D position measurements obtained from three instruments: a laser tracker (LT), a motion capture system (System A), and a large-scale metrology system (System B). The positions are for points that are in a semi-regular, 5 x 5 x 5 grid. The grid covers a volume that is approximately (3 x 3 x 1.8) m [L x W x H]. The measurement uncertainties are ± 25e-03 mm for the laser tracker, ± 250e-03 mm for System B, while the accuracy of System A is only specified as sub-millimeter. The datasets for each instrument were collected in the instrument's local coordinate frame. The datasets contain measurements of 125 fiducials (points used for registration) and 16 test points. Test points are points that are not used for registration but to which a transformation is applied; these points are used to evaluate the performance of the registration.

Summaries of validation results are shown for 24 countries in the test data set. Coverage is defined as the percentage of time that the true value is captured with the 95% uncertainty intervals. The mean error is the average prediction error. RMSE is the Root Mean Squared Error.

The correction in Digital Elevation Models (DEMs) has always been a crucial aspect of remote sensing geoscience research. The burgeoning development of new machine learning methods in recent years has provided novel solutions for the correction of DEM elevation errors. Given the reliance of machine learning and other artificial intelligence methods on extensive training data, and considering the current lack of publicly available, unified, large-scale, and standardized multisource DEM elevation error prediction datasets for large areas, the multi-source DEM Elevation Error Prediction Dataset (DEEP-Dataset) is introduced in this paper. This dataset comprises four sub-datasets, based on the TerraSAR-X add-on for Digital Elevation Measurements (TanDEM-X) DEM and Advanced land observing satellite World 3D-30 m (AW3D30) DEM in the Guangdong Province study area of China, and the Shuttle Radar Topography Mission (SRTM) DEM and Advanced Spaceborne Thermal Emission and reflection Radiometer (ASTER) DEM in the Northern Territory study area of Australia. The Guangdong Province sample comprises approximately 40 000 instances, while the Northern Territory sample includes about 1 600 000 instances. Each sample in the dataset consists of ten features, encompassing geographic spatial information, land cover types, and topographic attributes. The effectiveness of the DEEP-Dataset in actual model training and DEM correction has been validated through a series of comparative experiments, including machine learning model testing, DEM correction, and feature importance assessment. These experiments demonstrate the dataset’s rationality, effectiveness, and comprehensiveness.Citation:YU Cuilin, WANG Qingsong, ZHONG Zixuan, ZHANG Junhao, LAI Tao, HUANG Haifeng. Elevation Error Prediction Dataset Using Global Open-source Digital Elevation Model[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3445-3455. doi: 10.11999/JEIT240062原文：https://jeit.ac.cn/cn/article/doi/10.11999/JEIT240062

A corpus of machine-annotated incident reports of medication errors

Our dataset contains 478,175 named entities related to medication errors and also differentiates between incident types by recognising discrepancies between what was intended and what actually occurred.

When using this dataset, one should also cite the following original data source: Medical Adverse Event Information Collection Project [Iryō jiko jōhō shūshū-tō jigyō]　 Japan Council for Quality Health Care; 2022 [Available from: https://www.med-safe.jp/index.html.]

Imbens, Guido W., and Kolesar, Michal, (2016) "Robust Standard Errors in Small Samples: Some Practical Advice." Review of Economics and Statistics 98:4, 701-712.

Saint Lucia: Balance of payments, net errors and omissions: The latest value from 2023 is -0.25 million USD, an increase from -3.76 million USD in 2022. In comparison, the world average is -638.70 million USD, based on data from 148 countries. Historically, the average for Saint Lucia from 1976 to 2023 is 5.15 million USD. The minimum value, -71.17 million USD, was reached in 2019 while the maximum of 62.14 million USD was recorded in 1993.

In this paper we derive both primal and dual-cost systems in which the stochastic specifications arise from the model (random environment or measurement errors and optimization errors)?not tacked on at the end after the deterministic system is worked out. Derivation of the error structures is based on cost-minimizing behavior on the firms. The primal systems constitute the production function and the first-order conditions of cost minimization. We consider two dual-cost systems. The first dual system is based on the cost function and cost share equations. The second dual system is based on a multiplicative general error production model that is an alternative to McElroy's additive general error production model. Our multiplicative general error model gives a clear and intuitive economic meaning to the error components. The resulting cost system is easy to estimate compared to the alternative cost systems. The error components in the multiplicative general error model can capture heterogeneity in the technology parameters even in a cross-sectional model. Panel data are not necessary to estimate either the primal or dual systems. The models are estimated using data on 72 fossil fuel-fired steam electric power generation plants (observed for the period 1986-1999) in the USA.

Peru PE: BOP: Net Errors and Omissions data was reported at 381.929 USD mn in 2017. This records an increase from the previous number of -953.781 USD mn for 2016. Peru PE: BOP: Net Errors and Omissions data is updated yearly, averaging 88.803 USD mn from Dec 1977 (Median) to 2017, with 41 observations. The data reached an all-time high of 1.838 USD bn in 2013 and a record low of -1.612 USD bn in 2011. Peru PE: BOP: Net Errors and Omissions data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Peru – Table PE.World Bank: Balance of Payments: Capital and Financial Account. Net errors and omissions constitute a residual category needed to ensure that accounts in the balance of payments statement sum to zero. Net errors and omissions are derived as the balance on the financial account minus the balances on the current and capital accounts. Data are in current U.S. dollars.; ; International Monetary Fund, Balance of Payments Statistics Yearbook and data files.; ; Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards.

This webpage provides reports for SNAP activity, error rates and quality control.