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 2022, the IDB Group - composed of the IDB, IDB Lab (formerly the Multilateral Investment Fund) and IDB Invest - approved US$7.8 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. The IDB approved US$6.1 billion in climate finance (45.3% of total approvals). The IDB Group is composed of two separate legal entities: the IDB and the Inter-American Investment Corporation (IIC), which was rebranded as IDB Invest in 2017. The IDB Lab is a trust fund administered by the IDB and serves a unique function as the IDB Group s innovation laboratory. This dataset pertains to the IDB. Climate finance for the entire IDB Group (IDB, IDB Lab, and IDB Invest) in 2023 was US$8.3 billion.

Under the IDB Group Corporate Results Framework 2020-2023 (https://crf.iadb.org/en), the IDB committed to a climate finance target of 30% of total approved volume. “Climate finance” refers to the financial resources MDBs commit to development projects and the components that enable activities that mitigate and adapt to climate change in developing and emerging economies.

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

This dataset presents standardized climate finance data for IDB operations approved in 2024. It includes project-level climate finance shares tagged for mitigation, adaptation, and dual objectives, with breakdowns by instrument type and sector. The database supports transparency, comparability across years and divisions, and aligns with MDB climate finance tracking methodologies. Under the IDB Group Impact Framework 2024–2030, the IDB committed to a climate finance target of 45% of total approved volume. In 2024, the IDB met this target, approving US $5.6 billion in climate finance, representing 45% of total approvals. Climate finance refers to financial resources committed to development projects and components that enable activities mitigating or adapting to climate change in developing and emerging economies. This dataset pertains specifically to the IDB. Climate finance for the entire IDB Group—which includes the IDB, IDB Invest (formerly IIC), and IDB Lab—totaled US $8.2 billion in 2024.

Dataset

This dataset was created by voiceofchina

Released under Apache 2.0

Contents

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.

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, 1975–2015. 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 3000 studies have used this database so far as a source of institutional and political data in their empirical analysis.

Click here to access the data: https://mydata.iadb.org/idb/dataset/ngy5-9h9d/

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

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.

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. See methodologyhttps://www.census.gov/programs-surveys/international-programs/about/idb.html

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 Better Jobs Index is a tool for comparative analysis of labor markets in Latin America. This index evaluates the state of employment in the region through two dimensions: quantity and quality, each comprising two indicators. The quantity dimension measures how many people wish to work (labor force participation) and how many are actually employed (employment rate). The quality dimension assesses how much of the work generated is registered in social security systems (formality) and how many workers earn wages sufficient to lift them above the poverty line (sufficient wages). Through the Better Jobs Index, the Inter-American Development Bank aims to provide countries with a new instrument to more effectively monitor employment conditions, facilitate cross-country comparisons, and promote policies that lead to more favorable employment conditions.

📦 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:

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.

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.

This dataset is constructed to analyze the cross-country relationships of different types of public policies and support to the agrifood sector with the consumption patterns of different food commodities. It includes agricultural policy indicators and daily food consumption data spanning 49 Organisation for Economic Co-operation and Development (OECD) and Inter-American Development Bank (IDB) countries from 1986 to 2022. The dataset is compiled from three key sources: (i) the 2022 Global Dietary Database (GDD); (ii) the OECD Agricultural Policy Indicators database; and (iii) the Agrimonitor database from the IDB. Details on the dataset and the descriptions of the variables are provided in Appendices A-C of Reshaping the Agrifood Sector for Healthier Diets: Exploring the Links between Agrifood Public Support and Diet Quality (World Bank, 2024) and the included README file.

The Database of Labor Markets and Social Security Information System (SIMS) is the most important source of information about jobs and pensions in Latin America and the Caribbean. It encompasses harmonized statistics of 25 countries in the region, assuring the comparability of the indicators among them and also over time. The dataset includes data since 1990 and it presents 72 main indicators, which can be broken down by age group, gender, zone, level of education and other. The SIMS contains information in 6 broad categories: population, employment, unemployment, income, social security and poverty. This database seeks to contribute to public policies design based on evidence to strengthen the development of the region.

The zip file contains the benchmark data used for the TIPP3 simulation study. See the README file for more information.

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 2018, the IDB Group invested approximately US$5 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 27% of the IDB Group’s total approvals. Please note that only data from IDB and IDB Lab are available in this dataset.

The Consortium’s Nominal Rate of Assistance (NRA) dataset contains a set of measures of the incentives that affect producers’ decision making in agricultural sector. These measures are categorized by their potential economic impacts, with market price support distinguished from payments based on output; payments based on inputs; and payments based on other indicators, such as factors of production, current or past area or livestock numbers. The NRA dataset thus provides a more complete picture of the extent of producer support to the agricultural sector, compared to Nominal Rate of Protection (NRP) that includes only the Market Price Support (MPS) dimension. These measures are provided in detail for individual commodities, and as aggregates at regional and global level.

WITS is a trade software tool giving access to bilateral trade between countries based on various product classifications, product details, years, and trade flows. It also contains tariff and non-tariff measures data, as well as analysis tool to calculate effects of tariff reductions. In addition, users have access to many visualization tools.