29 datasets found
  1. I

    Curated Open Citations Dataset

    • databank.illinois.edu
    Updated Jan 22, 2025
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    Dmitriy Korobskiy; George Chacko (2025). Curated Open Citations Dataset [Dataset]. http://doi.org/10.13012/B2IDB-6389862_V1
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    Dataset updated
    Jan 22, 2025
    Authors
    Dmitriy Korobskiy; George Chacko
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is derived from the COCI, the OpenCitations Index of Crossref open DOI-to-DOI references (opencitations.net). Silvio Peroni, David Shotton (2020). OpenCitations, an infrastructure organization for open scholarship. Quantitative Science Studies, 1(1): 428-444. https://doi.org/10.1162/qss_a_00023 We have curated it to remove duplicates, self-loops, and parallel edges. These data were copied from the Open Citations website on May 6, 2023 and subsequently processed to produce a node list and an edge-list. Integer_ids have been assigned to the DOIs to reduce memory and storage needs when working with these data. As noted on the Open Citation website, each record is a citing-cited pair that uses DOIs as persistent identifiers.

  2. Corredores Mesoamericanos

    • idb-hit-open-data-idb-gis.hub.arcgis.com
    Updated Oct 21, 2022
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    CPENARUA@iadb.org_IDB_GIS (2022). Corredores Mesoamericanos [Dataset]. https://idb-hit-open-data-idb-gis.hub.arcgis.com/datasets/corredores-mesoamericanos
    Explore at:
    Dataset updated
    Oct 21, 2022
    Dataset provided by
    Inter-American Development Bankhttp://www.iadb.org/
    Authors
    CPENARUA@iadb.org_IDB_GIS
    Area covered
    Description

    Incorpora la representación geográfica de los principales Corredores Centroamericanos.

  3. O

    Industrial Development Bonds (IDB)

    • data.oregon.gov
    • datasets.ai
    • +2more
    csv, xlsx, xml
    Updated Sep 26, 2024
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    Business Oregon (2024). Industrial Development Bonds (IDB) [Dataset]. https://data.oregon.gov/Revenue-Expense/Industrial-Development-Bonds-IDB-/cju3-hian
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Sep 26, 2024
    Dataset authored and provided by
    Business Oregon
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Industrial Development Bonds (IDB) are available to manufacturing projects, exempt facilities and nonprofit organizations to provide access to capital primarily for value-added manufacturing. For more information visit https://www.oregon.gov/biz/programs/idb/pages/default.aspx

  4. Nodos de Exportación

    • idb-hit-open-data-idb-gis.hub.arcgis.com
    Updated Jul 5, 2022
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    CPENARUA@iadb.org_IDB_GIS (2022). Nodos de Exportación [Dataset]. https://idb-hit-open-data-idb-gis.hub.arcgis.com/items/a7d6b78e3b7540349238f3b0966f3314
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    Dataset updated
    Jul 5, 2022
    Dataset provided by
    Inter-American Development Bankhttp://www.iadb.org/
    Authors
    CPENARUA@iadb.org_IDB_GIS
    Area covered
    Description

    Capa de información que contiene las centralidades de producción de los principales productos de exportación de cadenas de valor

  5. I

    Cline Center Historical Phoenix Event Data. Cline Center for Advanced Social...

    • databank.illinois.edu
    + more versions
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    Scott Althaus; Joseph Bajjalieh; John Carter; Buddy Peyton; Dan Shalmon, Cline Center Historical Phoenix Event Data. Cline Center for Advanced Social Research. v1.1.0. August 30 [Dataset]. http://doi.org/10.13012/B2IDB-0647142_V1
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    Authors
    Scott Althaus; Joseph Bajjalieh; John Carter; Buddy Peyton; Dan Shalmon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Cline Center Historical Phoenix Event Data covers the period 1945-2018 and includes several million events extracted from 17.5 million news stories. This data was produced using the state-of-the-art PETRARCH-2 software to analyze content from the New York Times (1945-2019), the BBC Monitoring's Summary of World Broadcasts (1979-2015) and the Central Intelligence Agency’s Foreign Broadcast Information Service (1995-2004). It documents the agents, locations, and issues at stake in a wide variety of conflict, cooperation and communicative events in the CAMEO ontology. The Cline Center produced this data with the generous support of Linowes Fellow and Faculty Affiliate Prof. Dov Cohen and help from our academic and private sector collaborators in the Open Event Data Alliance (OEDA).

  6. Inter-American Development Bank Sanctions

    • opensanctions.org
    Updated Sep 3, 2025
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    Inter-American Development Bank (2025). Inter-American Development Bank Sanctions [Dataset]. https://www.opensanctions.org/datasets/iadb_sanctions/
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    txt, application/json+ftm, json, application/json+senzing, xlsx, csvAvailable download formats
    Dataset updated
    Sep 3, 2025
    Dataset authored and provided by
    Inter-American Development Bankhttp://www.iadb.org/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    The firms and individuals listed have been sanctioned for having engaged in fraudulent, corrupt, collusive, coercive or obstructive practices, in violation of the IDB Group’s Sanctions Procedures and anti-corruption policies.

  7. 2017 Climate Investment Funds SREP results data

    • kaggle.com
    Updated Jan 1, 2021
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    World Bank (2021). 2017 Climate Investment Funds SREP results data [Dataset]. https://www.kaggle.com/theworldbank/2017-climate-investment-funds-srep-results-data/metadata
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 1, 2021
    Dataset provided by
    Kaggle
    Authors
    World Bank
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Content

    The results data presented below is based on the portfolio of SREP projects and has been compiled on behalf of the following multilateral development banks: ADB, AFDB, IDB, IFC and IBRD. It follows the principles outlined under the Revised SREP Results Framework and includes the indicators that help determine whether and to what extent the SREP interventions achieve the proposed project outcome objectives involving: (a) Annual electricity output; (b) Improved energy access to people, businesses and community services; (c) GHG emissions reduced/avoided (tons of CO2 equivalent); (d) increased public and private investments in targeted subsectors (co-financing) You can learn more and get further analysis at the 2017 SREP Operational and Results Report: https://www.climateinvestmentfunds.org/sites/default/files/meeting-documents/srep_18_3_orr_1.pdf

    Context

    This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore World Bank's Financial Data using Kaggle and all of the data sources available through the World Bank organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

    This dataset is distributed under Creative Commons Attribution 3.0 IGO

  8. Development Effectiveness Review of the Inter-American Development Bank -...

    • open.canada.ca
    html
    Updated Jun 14, 2025
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    Global Affairs Canada (2025). Development Effectiveness Review of the Inter-American Development Bank - 2008-2013 - Final Report [Dataset]. https://open.canada.ca/data/info/eaf8c375-8eb3-4153-998c-f6fa08448c4c
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    htmlAvailable download formats
    Dataset updated
    Jun 14, 2025
    Dataset provided by
    Global Affairs Canadahttp://www.international.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Evaluation reports The department periodically conducts evaluations of Global Affairs Canada priorities, programs and projects. Evaluation serves as a practical management tool for reviewing performance of programs and activities. The information gathered through an evaluation helps improve the design as well as the implementation of upcoming programs and initiatives. A report is generated for each evaluation conducted.

  9. Proyección Climática RCP 6 y 8 (año 2040 y 2070)-Precipitación (% sobre...

    • idb-hit-open-data-idb-gis.hub.arcgis.com
    Updated Jul 25, 2022
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    CPENARUA@iadb.org_IDB_GIS (2022). Proyección Climática RCP 6 y 8 (año 2040 y 2070)-Precipitación (% sobre línea base) [Dataset]. https://idb-hit-open-data-idb-gis.hub.arcgis.com/items/1b0f12eddb1145f1af9914d2b9d0afff
    Explore at:
    Dataset updated
    Jul 25, 2022
    Dataset provided by
    Inter-American Development Bankhttp://www.iadb.org/
    Authors
    CPENARUA@iadb.org_IDB_GIS
    Area covered
    Description

    Capa que contiene la proyección de Intensidad de Precipitación Extrema bajo el modelo RCP 6 al año 2040 y 2070 medida en porcentaje sobre la línea de base para Belice, Guatemala, Honduras, El Salvador, Nicaragua, Costa Rica, Panamá y República Dominicana.

  10. Estado de Infraestructura

    • idb-hit-open-data-idb-gis.hub.arcgis.com
    Updated Aug 18, 2022
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    CPENARUA@iadb.org_IDB_GIS (2022). Estado de Infraestructura [Dataset]. https://idb-hit-open-data-idb-gis.hub.arcgis.com/items/79dc92165b8f47dca53a4edf23e84d16
    Explore at:
    Dataset updated
    Aug 18, 2022
    Dataset provided by
    Banco Interamericano de Desarrollohttp://www.iadb.org/
    Authors
    CPENARUA@iadb.org_IDB_GIS
    Area covered
    Description

    Incorpora la representación geográfica del estado de la calzada de 5.000 kms de Corredores Troncales Centroamericanos para 2018 y 2021.

  11. WTO IDB

    • wits.worldbank.org
    Updated Sep 17, 2010
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    WTO (2010). WTO IDB [Dataset]. https://wits.worldbank.org/about_wits.html
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    Dataset updated
    Sep 17, 2010
    Dataset provided by
    World Trade Organizationhttp://www.wto.int/
    License

    https://wits.worldbank.org/faqs.html#Databaseshttps://wits.worldbank.org/faqs.html#Databases

    Description

    The WTO's Integrated Data Base (IDB) contains imports by commodity and partner countries and Most Favored Nation (MFN) applied and, where available, data on preferential tariffs at the most detailed commodity level of the national tariffs.

  12. The Database of Political Institutions (DPI): 2020

    • data.iadb.org
    csv, docx, dta, pdf +1
    Updated Apr 10, 2025
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    IDB Datasets (2025). The Database of Political Institutions (DPI): 2020 [Dataset]. http://doi.org/10.60966/gn3s-at31
    Explore at:
    csv(4028245), xlsx(18385), dta(5316023), csv(6116), csv(4020044), pdf(848883), xlsx(4334054), dta(5316784), dta(5375373), xlsx(47953), docx(77857)Available download formats
    Dataset updated
    Apr 10, 2025
    Dataset provided by
    Inter-American Development Bankhttp://www.iadb.org/
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1975 - Jan 1, 2020
    Description

    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. The current version of the database expands its coverage to about 180 countries for 45 years, 1975-2020. It has become one of the most cited databases in comparative political economy and comparative political institutions, with more than 4,500 article citations on Google Scholar as of December 2020.

  13. Proyectos de Infraestructura (Ubicación extendida)

    • idb-hit-open-data-idb-gis.hub.arcgis.com
    Updated Aug 12, 2022
    + more versions
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    CPENARUA@iadb.org_IDB_GIS (2022). Proyectos de Infraestructura (Ubicación extendida) [Dataset]. https://idb-hit-open-data-idb-gis.hub.arcgis.com/datasets/78fc2857ae5b4b14af3d10fae5a0ea74
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    Dataset updated
    Aug 12, 2022
    Dataset provided by
    Banco Interamericano de Desarrollohttp://www.iadb.org/
    Authors
    CPENARUA@iadb.org_IDB_GIS
    Area covered
    Description

    La capa cuenta con el portafolios de proyectos regionales para la integración física de los diez países mesoamericanos –México, Belice, Guatemala, Honduras, El Salvador, Nicaragua, Costa Rica, Panamá, Colombia y República Dominicana–. La capa incluye información de los proyectos por país, tipo de proyecto y tipo de financiamiento.

  14. Rethinking Productive Development: Sound Policies and Institutions for...

    • mydata.iadb.org
    • splitgraph.com
    application/rdfxml +5
    Updated Feb 23, 2015
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    Inter-American Development Bank (2015). Rethinking Productive Development: Sound Policies and Institutions for Economic Transformation - DIA 2014 [Dataset]. https://mydata.iadb.org/es/Industry/Rethinking-Productive-Development-Sound-Policies-a/6gku-ip59?defaultRender=page
    Explore at:
    csv, application/rdfxml, application/rssxml, json, tsv, xmlAvailable download formats
    Dataset updated
    Feb 23, 2015
    Dataset provided by
    Banco Interamericano de Desarrollohttp://www.iadb.org/
    Authors
    Inter-American Development Bank
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Description

    This dataset was created to support 2014 DIA - Rethinking Productive Development: Sound Policies and Institutions for Economic Transformation.

    Click here to access the data: https://mydata.iadb.org/d/6gku-ip59

  15. Rutas Aéreas

    • idb-hit-open-data-idb-gis.hub.arcgis.com
    Updated Aug 15, 2022
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    CPENARUA@iadb.org_IDB_GIS (2022). Rutas Aéreas [Dataset]. https://idb-hit-open-data-idb-gis.hub.arcgis.com/datasets/172529dc2f54446f8984ea92cbc98e58
    Explore at:
    Dataset updated
    Aug 15, 2022
    Dataset provided by
    Banco Interamericano de Desarrollohttp://www.iadb.org/
    Authors
    CPENARUA@iadb.org_IDB_GIS
    Area covered
    Description

    Capa de información derivada del Observatorio Logístico Mesoamericano y del Estudio para el Mejoramiento de la Logística de Cargas y el Comercio en Mesoamérica de 2014 con las rutas aéreas de México, Belice, Guatemala, Honduras, El Salvador, Nicaragua, Costa Rica, Panamá, Colombia y República Dominicana.

  16. Puertos

    • idb-hit-open-data-idb-gis.hub.arcgis.com
    Updated Aug 15, 2022
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    CPENARUA@iadb.org_IDB_GIS (2022). Puertos [Dataset]. https://idb-hit-open-data-idb-gis.hub.arcgis.com/items/38b18aa49b6f45c28c428ed1f7696db7
    Explore at:
    Dataset updated
    Aug 15, 2022
    Dataset provided by
    Banco Interamericano de Desarrollohttp://www.iadb.org/
    Authors
    CPENARUA@iadb.org_IDB_GIS
    Area covered
    Description

    Capa de información derivada del Observatorio Logístico Mesoamericano y del Estudio para el Mejoramiento de la Logística de Cargas y el Comercio en Mesoamérica de 2014 con los puertos de México, Belice, Guatemala, Honduras, El Salvador, Nicaragua, Costa Rica, Panamá, Colombia y República Dominicana.

  17. I

    WikiCSSH - Computer Science Subject Headings from Wikipedia

    • databank.illinois.edu
    Updated Sep 13, 2020
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    Kanyao Han; Pingjing Yang; Shubhanshu Mishra; Jana Diesner (2020). WikiCSSH - Computer Science Subject Headings from Wikipedia [Dataset]. http://doi.org/10.13012/B2IDB-0424970_V1
    Explore at:
    Dataset updated
    Sep 13, 2020
    Authors
    Kanyao Han; Pingjing Yang; Shubhanshu Mishra; Jana Diesner
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    WikiCSSH If you are using WikiCSSH please cite the following: > Han, Kanyao; Yang, Pingjing; Mishra, Shubhanshu; Diesner, Jana. 2020. “WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia.” In Workshop on Scientific Knowledge Graphs (SKG 2020). https://skg.kmi.open.ac.uk/SKG2020/papers/HAN_et_al_SKG_2020.pdf > Han, Kanyao; Yang, Pingjing; Mishra, Shubhanshu; Diesner, Jana. 2020. "WikiCSSH - Computer Science Subject Headings from Wikipedia". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0424970_V1 Download the WikiCSSH files from: https://doi.org/10.13012/B2IDB-0424970_V1 More details about the WikiCSSH project can be found at: https://github.com/uiuc-ischool-scanr/WikiCSSH This folder contains the following files: WikiCSSH_categories.csv - Categories in WikiCSSH WikiCSSH_category_links.csv - Links between categories in WikiCSSH Wikicssh_core_categories.csv - Core categories as mentioned in the paper WikiCSSH_category_links_all.csv - Links between categories in WikiCSSH (includes a dummy category called

  18. I

    Data from: Plume-exit modeling to determine cloud condensation nuclei...

    • databank.illinois.edu
    • aws-databank-alb.library.illinois.edu
    Updated Feb 9, 2018
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    Tami Bond (2018). Data from: Plume-exit modeling to determine cloud condensation nuclei activity of aerosols from residential biofuel combustion [Dataset]. http://doi.org/10.13012/B2IDB-6485436_V1
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    Dataset updated
    Feb 9, 2018
    Authors
    Tami Bond
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset contains the PartMC-MOSAIC simulations used in the article “Plume-exit modeling to determine cloud condensation nuclei activity of aerosols from residential biofuel combustion”. The data is organized as a set of folders, each folder representing a different scenario modeled. Each folder contains a series of NetCDF files, which are the output of the PartMC-MOSAIC simulation. They contain information on particle and gas properties, both of the biofuel burning plume and background. Input files for PartMC-MOSAIC are also included. This dataset was used during the open review process at Atmospheric Chemistry and Physics (ACP) and supports both the discussion paper and final article.

  19. Association of Drainage Authorities: Administrative Boundaries - Internal...

    • environment.data.gov.uk
    • data.europa.eu
    Updated Sep 22, 2020
    + more versions
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    Environment Agency (2020). Association of Drainage Authorities: Administrative Boundaries - Internal Drainage Districts in England [Dataset]. https://environment.data.gov.uk/dataset/84ccfa1b-df6b-42d3-b6bc-03c98e8c207c
    Explore at:
    Dataset updated
    Sep 22, 2020
    Dataset authored and provided by
    Environment Agencyhttps://www.gov.uk/ea
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England
    Description

    PLEASE NOTE: This data has been published by the Environment Agency on behalf of the Association of Drainage Authorities. © Association of Drainage Authorities copyright and/or database right 2020. All rights reserved.

    Under the Land Drainage Act 1991, internal drainage districts are areas defined as deriving benefit or avoiding danger as a result of drainage operations. Each internal drainage board (IDB) is a local independent public body that manages water levels in the corresponding internal drainage district. IDBs undertake works to reducing flood risk to people and property, and manage water levels for agricultural needs and for the protection and enhancement of the environment within their district. IDBs are defined as a type of Risk Management Authority under the Flood & Water Management Act 2010. Whilst indicative, the data is the most comprehensive and consistent national dataset of internal drainage district boundaries in England.

    This is licensed under the Open Government Licence 3.0.

    For further information please contact Association of Drainage Authorities: admin@ada.org.uk Association of Drainage Authorities website: www.ada.org.uk

  20. C

    Dataset of Universities in Bolivia: Supply of technical and professional...

    • data.iadb.org
    csv
    Updated Apr 10, 2025
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    IDB Datasets (2025). Dataset of Universities in Bolivia: Supply of technical and professional training careers: 2001-2016 [Dataset]. http://doi.org/10.60966/2l5jasw4
    Explore at:
    csv(948286)Available download formats
    Dataset updated
    Apr 10, 2025
    Dataset provided by
    IDB Datasets
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2001 - Jan 1, 2016
    Area covered
    Bolivia
    Description

    El conjunto de datos se contextualiza en el marco regulatorio vigente de la educación superior en Bolivia. Se tiene información de la evolución del número de estudiantes de universidades públicas como privadas: nuevos, matriculados y titulados por área de conocimiento y carrera profesional, en los nueve departamentos del país a lo largo del periodo 2001-2016. La fuente de información es el Ministerio de Educación y el Comité Ejecutivo de la Universidad Boliviana (CEUB).

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Dmitriy Korobskiy; George Chacko (2025). Curated Open Citations Dataset [Dataset]. http://doi.org/10.13012/B2IDB-6389862_V1

Curated Open Citations Dataset

Explore at:
Dataset updated
Jan 22, 2025
Authors
Dmitriy Korobskiy; George Chacko
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This dataset is derived from the COCI, the OpenCitations Index of Crossref open DOI-to-DOI references (opencitations.net). Silvio Peroni, David Shotton (2020). OpenCitations, an infrastructure organization for open scholarship. Quantitative Science Studies, 1(1): 428-444. https://doi.org/10.1162/qss_a_00023 We have curated it to remove duplicates, self-loops, and parallel edges. These data were copied from the Open Citations website on May 6, 2023 and subsequently processed to produce a node list and an edge-list. Integer_ids have been assigned to the DOIs to reduce memory and storage needs when working with these data. As noted on the Open Citation website, each record is a citing-cited pair that uses DOIs as persistent identifiers.

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