Population-based Cancer Registries (PBCRs) are tasked with collecting high-quality data, important for monitoring cancer burden and its trends, planning and evaluating cancer control activities, clinical and epidemiological research and development of health policies. The main indicators to measure data quality are validity, completeness, comparability and timeliness. The aim of this article is to evaluate the quality of PBCRs data collected in the first ENCR-JRC data call, dated 2015.MethodsAll malignant tumours, except skin non-melanoma, and in situ and uncertain behaviour of bladder were obtained from 130 European general PBCRs for patients older than 19 years. Proportion of cases with death certificate only (DCO%), proportion of cases with unknown primary site (PSU%), proportion of microscopically verified cases (MV%), mortality to incidence (M:I) ratio, proportion of cases with unspecified morphology (UM%) and the median of the difference between the registration date and the incidence date were computed by sex, age group, cancer site, period and PBCR.ResultsA total of 28,776,562 cases from 130 PBCRs, operating in 30 European countries were included in the analysis. The quality of incidence data reported by PBCRs has been improving across the study period. Data quality is worse for the oldest age groups and for cancer sites with poor survival. No differences were found between males and females. High variability in data quality was detected across European PBCRs.Conclusionthe results reported in this paper are to be interpreted as the baseline for monitoring PBCRs data quality indicators in Europe along time.

US B2B Contact Database | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON Elevate your sales and marketing efforts with America's most comprehensive B2B contact data, featuring over 200M+ verified records of decision-makers, from CEOs to managers, across all industries. Powered by AI and refreshed bi-weekly, this dataset ensures you have access to the freshest, most accurate contact details available for effective outreach and engagement.

Key Features & Stats:

200M+ Decision-Makers: Includes C-level executives, VPs, Directors, and Managers.

95% Accuracy: Email & Phone numbers verified for maximum deliverability.

Bi-Weekly Updates: Never waste time on outdated leads with our frequent data refreshes.

50+ Data Points: Comprehensive firmographic, technographic, and contact details.

Core Fields:

Direct Work Emails & Personal Emails for effective outreach.

Mobile Phone Numbers for cold calls and SMS campaigns.

Full Name, Job Title, Seniority for better personalization.

Company Insights: Size, Revenue, Funding data, Industry, and Tech Stack for a complete profile.

Location: HQ and regional offices to target local, national, or international markets.

Top Use Cases:

Cold Email & Calling Campaigns: Target the right people with accurate contact data.

CRM & Marketing Automation Enrichment: Enhance your CRM with enriched data for better lead management.

ABM & Sales Intelligence: Target the right decision-makers and personalize your approach.

Recruiting & Talent Mapping: Access CEO and senior leadership data for executive search.

Instant Delivery Options:

JSON – Bulk downloads via S3 for easy integration.

REST API – Real-time integration for seamless workflow automation.

CRM Sync – Direct integration with your CRM for streamlined lead management.

Enterprise-Grade Quality:

SOC 2 Compliant: Ensuring the highest standards of security and data privacy.

GDPR/CCPA Ready: Fully compliant with global data protection regulations.

Triple-Verification Process: Ensuring the accuracy and deliverability of every record.

Suppression List Management: Eliminate irrelevant or non-opt-in contacts from your outreach.

US Business Contacts | B2B Email Database | Sales Leads | CRM Enrichment | Verified Phone Numbers | ABM Data | CEO Contact Data | US B2B Leads | US prospects data

Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.

This dataset contains along track geo-referenced Sea Surface Height Anomalies (SSHA) from TOPEX/Poseidon, Jason-1 and OSTM/Jason-2 (depending on time period) merged onto a single mean reference orbit. All biases and cross-calibrations have been applied to the data so SSHA are consistent between satellites to form a single climate data record. Altimeter data from the multi-mission Geophysical Data Records (GDRs) are interpolated to a common reference orbit facilitating direct time series analysis of the geo-referenced SSH. The data are in netCDF format in an array based on 3-dimensions (rev#, index, cycle) that permits direct access of individual locations at specific times (i.e., temporal and spatial sub-sampling). The data start at September 1992 and is presently updated to January 2013. The newest data are appended to the file quarterly.

Completeness of birth registration (%) in World was reported at 72.31 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Completeness of birth registration - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Abstract: This data shows the daily mean discharge estimates for water monitoring stations in the Office of Public Works hydrometric network. Daily mean discharge estimates are the mean values of discharge as calculated for each day. Purpose: To support Flood Risk Management objectives through the collection of hydrometric data. .hidden { display: none }

An important requirement of model transformations is the preservation of the behavior of the original model. A model transformation is semantically correct if for each simulation run of the source system we find a corresponding simulation run in the target system. Analogously, we have semantical completeness, if for each simulation run of the target system we find a corresponding simulation run in the source system. In our framework of graph transformation, models are given by graphs, and graph transformation rules are used to define the operational behavior of visual models (called simulation rules). In order to compare the semantics of source and target models, we assume that in both cases operational behavior can be defined by simulation rules. The model transformation from source to target models is given by another set of graph transformation rules. These rules are also applied to the simulation rules of the source model. The result of this rule transformation is compared with the given simulation rules of the target language.The main result in this paper states the conditions for model and rule transformations to be semantically correct and complete. The result is applied to analyze the behavior of a model transformation from a domain-specific visual language for production systems to Petri nets.

Estimations of civil registration completeness within 12 months of birth or 12 months of death. These estimates are drawn from SPC Country profiles or from presentations made at the 2023 Pacific Civil Registrars Meeting.

Find more Pacific data on PDH.stat.

Completeness of birth registration (%) in Indonesia was reported at 77 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Indonesia - Completeness of birth registration - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Comparison of physician and CHT attributes affecting the completeness, accuracy and bias of data collected by each method for history-taking.

Every player available in FM 20,21,22 and 23

Player positions

Player attributes with statistics as Attacking, Skills, Defense, Mentality, GK Skills, etc.

Player personal data like Nationality, Club, DateOfBirth, Wage, Salary, etc.

Measuring the completeness of survey inventories created by citizen-science initiatives can identify the strengths and shortfalls in our knowledge of where species occur geographically. Here, we use occurrence information from eBird to measure the survey completeness of the world’s birds in this database at three temporal resolutions and four spatial resolutions across the annual cycle during the period 2002 to 2018. Approximately 84% of the earth’s terrestrial surface contained bird occurrence information with the greatest concentrations occurring in North America, Europe, India, Australia, and New Zealand. The largest regions with low levels of survey completeness were located in central South America, northern and central Africa, and northern Asia. Across spatial and temporal resolutions, survey completeness in regions with occurrence information was 55–74% on average, with the highest values occurring at coarser temporal and coarser spatial resolutions and during spring migration wi...

Supplementary Material 10: Supplementary Table 8

I am a new developer and I would greatly appreciate your support. If you find this dataset helpful, please consider giving it an upvote!

Key Features:

Complete 1m Data: Raw 1m historical data from multiple exchanges, covering the entire trading history of BNBUSD available through their API endpoints. This dataset is updated daily to ensure up-to-date coverage.

Combined Index Dataset: A unique feature of this dataset is the combined index, which is derived by averaging all other datasets into one, please see attached notebook. This creates the longest continuous, unbroken BNBUSD dataset available on Kaggle, with no gaps and no erroneous values. It gives a much more comprehensive view of the market i.e. total volume across multiple exchanges.

Superior Performance: The combined index dataset has demonstrated superior 'mean average error' (MAE) metric performance when training machine learning models, compared to single-source datasets by a whole order of MAE magnitude.

Unbroken History: The combined dataset's continuous history is a valuable asset for researchers and traders who require accurate and uninterrupted time series data for modeling or back-testing.

https://i.imgur.com/aqtuPay.png" alt="BNBUSD Dataset Summary">

https://i.imgur.com/mnzs2f4.png" alt="Combined Dataset Close Plot"> This plot illustrates the continuity of the dataset over time, with no gaps in data, making it ideal for time series analysis.

Included Resources:

Two Notebooks:

Dataset Usage and Diagnostics: This notebook demonstrates how to use the dataset and includes a powerful data diagnostics function, which is useful for all time series analyses.

Aggregating Multiple Data Sources: This notebook walks you through the process of combining multiple exchange datasets into a single, clean dataset. (Currently unavailable, will be added shortly)

This data release comprises the data files and code necessary to perform all analyses presented in the associated publication. The *.csv data files are aggregations of water extent on the basis of the European Commission's Joint Research Centre (JRC) Monthly Water History database (v1.0) and the Dynamic Surface Water Extent (DSWE) algorithm. The shapefile dataset contains the study area 8-digit hydrologic unit code (HUC) regions used as the basis for analysis. Html files provide an overview of the study workflow and integrated R notebooks (in .Rmd format) for recreating all project results and plots. The R notebook ingest the necessary data files from their online locations. These data support the following publication: Walker JJ, Soulard CE, Petrakis RE. In press. Integrating stream gage data and Landsat imagery to complete time-series of surface water extents in Central Valley, California. International Journal of Applied Earth Observation and Geoinformation, http://dx.doi.org/xx.xxxxx/

See Condit (1998).

Montenegro ME: Completeness of Infant Death Reporting data was reported at 80.328 % in 2009. This records a decrease from the previous number of 96.875 % for 2008. Montenegro ME: Completeness of Infant Death Reporting data is updated yearly, averaging 88.601 % from Dec 2008 (Median) to 2009, with 2 observations. The data reached an all-time high of 96.875 % in 2008 and a record low of 80.328 % in 2009. Montenegro ME: Completeness of Infant Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Montenegro – Table ME.World Bank.WDI: Health Statistics. Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; ;

The Discogs Data Dumps (February 2025) provide a comprehensive archive of the Discogs music database, offering detailed metadata on releases, artists, labels, and marketplace data. This dataset includes structured information on millions of vinyl records, CDs, digital releases, and more, making it an invaluable resource for music researchers, collectors, and developers.

The archive is available in JSON format and contains various data files, including release details, artist discographies, label catalogs, and user-generated contributions. It is regularly updated and serves as a foundation for building applications, analyzing music trends, and exploring Discogs’ extensive music catalog.

Additional File 2. Demonstration of Equivalent deaths method (GBD standard life table) in Brazilian states, 2015.

data from marble burying and open field testsdata from immunofluorescence of PL-PFCdata from ELISA and western blotting