A computerized data set of demographic, economic and social data for 227 countries of the world. Information presented includes population, health, nutrition, mortality, fertility, family planning and contraceptive use, literacy, housing, and economic activity data. Tabular data are broken down by such variables as age, sex, and urban/rural residence. Data are organized as a series of statistical tables identified by country and table number. Each record consists of the data values associated with a single row of a given table. There are 105 tables with data for 208 countries. The second file is a note file, containing text of notes associated with various tables. These notes provide information such as definitions of categories (i.e. urban/rural) and how various values were calculated. The IDB was created in the U.S. Census Bureau''s International Programs Center (IPC) to help IPC staff meet the needs of organizations that sponsor IPC research. The IDB provides quick access to specialized information, with emphasis on demographic measures, for individual countries or groups of countries. The IDB combines data from country sources (typically censuses and surveys) with IPC estimates and projections to provide information dating back as far as 1950 and as far ahead as 2050. Because the IDB is maintained as a research tool for IPC sponsor requirements, the amount of information available may vary by country. As funding and research activity permit, the IPC updates and expands the data base content. Types of data include: * Population by age and sex * Vital rates, infant mortality, and life tables * Fertility and child survivorship * Migration * Marital status * Family planning Data characteristics: * Temporal: Selected years, 1950present, projected demographic data to 2050. * Spatial: 227 countries and areas. * Resolution: National population, selected data by urban/rural * residence, selected data by age and sex. Sources of data include: * U.S. Census Bureau * International projects (e.g., the Demographic and Health Survey) * United Nations agencies Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08490

Under the current IDBG Corporate Results Framework (CRF) 2020-2023 (https://crf.iadb.org/en), the IDB committed to reach 30% of the total amount approved (including all lending operations) of climate finance during this period. In 2020, the IDB Group - composed of the IDB, IDB Lab (formerly the Multilateral Investment Fund) and IDB Invest - approved US$3.9 billion in climate finance as per the MDB climate finance tracking methodology. This resource is aimed at development activities carried out by the public and private sectors that reduce greenhouse gas (GHG) emissions and thus mitigate climate change, and/or that reduce vulnerability to climate change and contribute to an adaptation process. This amount represented 19.5% of the IDB Groups total approved amount for 2020. The IDB only climate finance in 2020 was 15%, equivalent to US$ 2 billion. If the COVID-19 related investments are excluded, the IDB climate finance reached 30%. Changes in demand from countries to respond to the pandemic affected the overall climate finance results by shifting the priority to social and fiscal sectors and to projects that could provide faster liquidity.

ALL-IDB (Acute Lymphoblastic Leukemia) Image Database for Image ProcessingALL-IDB dataset comprises of two subsets among them one subset has 260 segmented lymphocytes of them 130 belongs to the leukaemia and the remaining 130 belongs to the non leukaemuia class it requires only classification. second subset has around 108 non segmented blood images that belongs to the leukaemia and non leukaemia groups thus requires segmentation and classification.

Midyear population estimates and projections for all countries and areas of the world with a population of 5,000 or more // Source: U.S. Census Bureau, Population Division, International Programs Center// Note: Total population available from 1950 to 2100 for 227 countries and areas. Other demographic variables available from base year to 2100. Base year varies by country and therefore data are not available for all years for all countries. For the United States, total population available from 1950-2060, and other demographic variables available from 1980-2060. See methodology at https://www.census.gov/programs-surveys/international-programs/about/idb.html

CR-IDB: Cheese Ripeness Image Data BaseCR-IDB is the public image dataset described in the following article: TBDAuthors: Alessandra Perniciano, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, and Barbara PesDataset acquisitionThe dataset was obtained through the collaboration between Biosabbey s.r.l. and the Department of Mathematics and Computer Science (DMI) of the University of Cagliari under an agreement facilitated by DMI.Massimiliano Sicilia of Laore Sardegna oversaw the acquisition process as part of his collaboration with Biosabbey s.r.l.Subsequently, Andrea Loddo, affiliated with DMI at the University of Cagliari, curated and organized the dataset, which he currently maintains.NOTE: please indicate the following in case of using this dataset in your own work:TBD---------------------------------------------------------------------------------------------------------------Description:CR-IDB comprises three subsets sourced from each dairy: Podda-Granarolo, Gennargentu-Conad, and Lattebusche-Conad. All images were captured with a single light source, centered on cardboard, and have an initial resolution of 6016 x 4,016 pixels, further resized at 1800 x 1800 pixels. Image acquisition was performed using a Nikon D750 camera with a CMOS 35.9 x 24.0 mm sensor at 24 megapixels resolution.Copyright (c) 2024 andrealoddo

At the IDBG Annual Meeting in 2016, the Board of Governors resolved to endorse the goal of increasing the financing of climate change related projects in LAC to 30% of the IDB’s and IIC’s combined total approvals operations by 2020, subject to demand from borrowing countries and clients and access to external sources of concessional financing. During 2017, the IDB Group invested approximately US$4.3 billion in climate finance; that is, in development activities carried out by the public and private sectors that reduce greenhouse gas (GHG) emissions and thus mitigate climate change, and/or that reduce vulnerability to climate change and contribute to an adaptation process. This amount represented 28.5% of the IDB Group’s total approvals. Please note that only data from IDB and IDB Lab are available in this dataset.

MP IDB The Malaria Parasite Image Database For Image Processing And Analysis Master

## Overview

MP IDB The Malaria Parasite Image Database For Image Processing And Analysis Master is a dataset for object detection tasks - it contains Parasita annotations for 210 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.

This database compiles information on contract awards related to IDB financed, sovereign-guaranteed operations in Latin America and the Caribbean. This database spans information since 2010. Data can also be viewed at https://projectprocurement.iadb.org/en/awarded-contracts.

This aggregate data collection is an extract of the International Data Base (IDB), a computerized central repository of demographic, economic, and social data for all countries of the world. Data available in this collection include total midyear population estimates and projections (1950-1985), percent urban population, estimates and projections of crude birth rate, crude death rate, net migration rate, rate of natural increase, and annual growth rate, infant mortality rate and life expectancy at birth by sex, percent literate by sex, and percent of the labor force in agriculture.

📦 MP-IDB-YOLO – Ultralytics YOLO-Formatted Malaria Parasite Image Dataset for Instance Segmentation and Object Detection

This dataset is a repackaged version of the original MP-IDB (The Malaria Parasite Image Database for Image Processing and Analysis), formatted for Ultralytics YOLO (You Only Look Once) instance segmentation annotation. The goal of this release is to make it easier for researchers and practitioners to apply state-of-the-art instance segmentation or object detection techniques to malaria cell detection and classification tasks.

⚠️ This dataset is a derivative work. All original images and annotations belong to the original MP-IDB authors. This version only converts them into Ultralytics YOLO-compatible format.

📚 About the Original Dataset

The original MP-IDB dataset was created and released by Andrea Loddo, Cecilia Di Ruberto, Michel Kocher, and Guy Prod’Hom, and is described in the following publication:

MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis
In Processing and Analysis of Biomedical Information, Springer, 2019.
DOI: 10.1007/978-3-030-13835-6_7

The dataset includes annotated microscopic blood smear images of four malaria species:

• Plasmodium falciparum
• Plasmodium malariae
• Plasmodium ovale
• Plasmodium vivax

Each image contains cells in one or more of the following parasite life stages, indicated in filenames:

• R: Ring
• T: Trophozoite
• S: Schizont
• G: Gametocyte

Expert pathologists provided the ground truth for each image.

🛠️ What’s Included in This YOLO Version

This version of the dataset includes:

• ✅ Original images from MP-IDB
• ✅ Instance Segmentation annotations in Ultralytics YOLO format (.txt files)
• ✅ Class definitions matching parasite species and life stages
• ✅ A YAML file ready for training using the Ultralytics Package

This reformatting is designed to save time for those building instance segmentation or object detection models for medical imaging and accelerate prototyping using YOLO and the Ultralytics Package.

📜 License and Attribution

The original MP-IDB dataset is released under the MIT License by Andrea Loddo and contributors. Please make sure to cite the original work if you use this dataset in your own research or application:

Qualitative Data collected from the websites of undergraduate research journals between October, 2014 and May, 2015. Two CSV files. The first file, "Sample", includes the sample of journals with secondary data collected. The second file, "Population", includes the remainder of the population for which secondary data was not collected. Note: That does not add up to 800 as indicated in article, rows were deleted for journals that had broken links or defunct websites during random sampling process.

The TIMSS Advanced 2008 International Database is available to all individuals interested in the data collected and analyzed as part of TIMSS Advanced 2008. The aim is to support and promote the use of the data by researchers, analysts, and others interested in improving education. The database is available for download. The database includes the student achievement data as well as the student, teacher, school, and curricular background data for the 10 participating countries. The student teacher, and school data files are in SAS and SPSS formats with programs and macros. The database site also contains an updated version of the 1995 database that includes the rescaled achievement scores for advanced mathematics and physics produced using the current TIMSS scaling methods. The database is accompanied by the TIMSS Advanced 2008 User Guide, Foy, P., & Arora, A. (Eds.), containing four chapters accompanied by four supplements. There also is a link for obtaining the IEA IDB Analyzer. TIMSS Advanced 2008 assesses student achievement in advanced mathematics and physics in the final year of secondary school—the twelfth grade in many countries. TIMSS Advanced is part of IEA’s series of TIMSS international assessments designed to provide comparative information about educational achievement across countries. Because TIMSS Advanced assesses students in their last year of secondary school who have studied advanced mathematics or physics to prepare them for further study of mathematics and science at the tertiary level, the results are of particular importance for educational decision making.

The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature, among others. The current version of the database, which is now hosted at the IDB, expands its coverage to about 180 countries for 40 years. Researchers at the World Bank Development Research Group first compiled the database in 2000 (see citation information below). It has become one of the most cited databases in comparative political economy and comparative political institutions. Almost 3,000 studies have used this database so far as a source of institutional and political data in their empirical analysis.

This data set shows how density effects have an important influence on mixing at a small river confluence. The data consist of results of simulations using a detached eddy simulation model.

At the IDBG Annual Meeting in 2016, the Board of Governors resolved to endorse the goal of increasing the financing of climate change related projects in LAC to 30% of the IDB’s and IIC’s combined total approvals operations by 2020, subject to demand from borrowing countries and clients and access to external sources of concessional financing. During 2016, the IDB Group invested approximately US$2.7 billion in climate finance; that is, in development activities carried out by the public and private sectors that reduce greenhouse gas (GHG) emissions and thus mitigate climate change, and/or that reduce vulnerability to climate change and contribute to an adaptation process. This amount represented 22% of the IDB Group’s total approvals. Please note that only data from IDB and IDB Lab are available in this dataset.

CM-IDB: The Cheese Making Image Database for Image Processing and AnalysisCM-IDB is the public image dataset described in the following article: Detecting coagulation time in cheese making by means of computer vision and machine learning techniques (Doi: 10.1016/j.compind.2024.104173).Authors: Andrea Loddo, Cecilia Di Ruberto, Giuliano Armano, Andrea ManconiDataset acquisitionThe dataset was obtained through the collaboration between Biosabbey s.r.l. and the Department of Mathematics and Computer Science (DMI) ofthe University of Cagliari under an agreement facilitated by DMI.The acquisition process was overseen by Massimiliano Sicilia of Laore Sardegna as part of his collaboration with Biosabbey s.r.l.Subsequently, Andrea Loddo, affiliated with DMI at the University of Cagliari, curated and organized the dataset, which is currently maintained by him.# NOTE: please cite the following manuscript in case of using this dataset in your own work:@article{loddo2025detecting, title={Detecting coagulation time in cheese making by means of computer vision and machine learning techniques}, author={Loddo, Andrea and Di Ruberto, Cecilia and Armano, Giuliano and Manconi, Andrea}, journal={Computers in Industry}, volume={164}, pages={104173}, year={2025}, publisher={Elsevier}}---------------------------------------------------------------------------------------------------------------Description:The dataset for this study was assembled by collecting a series of 8 image sets from a Sardinian (Italy) dairy company (Podda Formaggi).Each set illustrates the coagulation process of milk, showing the transition from a liquid state to a gelatinous form known as curd.An image at different positions within the sequence for each set identifies the precise moment when this transformation begins, referred to as the curd-firming time.The images were taken using a camera with a CMOS sensor of size 35.9x24.0 mm and a resolution of 24 Mpixel, specifically a Nikon D750.All images are in RGB format, with a resolution of 6016x4016 pixels, and were taken at approximately 10-second intervals.Within each set, the images are organized chronologically and labeled based on the stage of maturation: pre-CF-time (negative class) or CF-time (positive class).The time interval between consecutive images varies, with negative examples taken every 10 seconds and positive examples taken every 2 seconds.Copyright (c) 2024 andrealoddo

The International Registry of Reproductive Pathology Database is part of pioneering work done by Dr. Kenneth McEntee to comprehensively document thousands of disease cases studies. His large and comprehensive collection of case reports and physical samples was complimented by development of the International Registry of Reproductive Pathology Database in the 1980s. The original FoxPro Database files and a migrated access version were completed by the College of Veterinary Medicine in 2016. Access CSV files were completed by the University of Illinois Library in 2017.

To support and promote secondary analyses aimed at improving mathematics and science education at the fourth and eighth grades, the TIMSS 2007 International Database makes available to researchers, analysts, and other users the data and datasets collected and processed by the TIMSS project. This database comprises student achievement data as well as student, teacher, school, and curricular background data for 59 countries and 8 benchmarking participants. The User Guide describes the content and format of the data in the TIMSS 2007 international database. It contains four chapters and is accompanied by four supplements. The TIMSS 2007 International Database, its User Guide and supplements, and support materials are available for download on this page (listed below). They also are available on the DVD, entitled TIMSS 2007 International Database and User Guide: Featuring the IEA IDB Analyzer.

Investigator(s): Federal Judicial Center The purpose of this data collection is to provide an official public record of the business of the federal courts. The data originate from 100 court offices throughout the United States. Information was obtained at two points in the life of a case: filing and termination. The termination data contain information on both filing and terminations, while the pending data contain only filing information. For the appellate and civil data, the unit of analysis is a single case. The unit of analysis for the criminal data is a single defendant.Years Produced: Updated bi-annually with annual data.

United Kingdom UK: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 1.960 % in 2016. This records an increase from the previous number of 1.890 % for 2015. United Kingdom UK: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 2.270 % from Dec 1988 (Median) to 2016, with 29 observations. The data reached an all-time high of 6.280 % in 1995 and a record low of 1.310 % in 2012. United Kingdom UK: Tariff Rate: Applied: Weighted Mean: All Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;