https://bbmaps.itu.int/geonetwork/srv/api/records
type: PagedCollection
type: PartialCollectionView
last page: https://bbmaps.itu.int/geonetwork/srv/api/records
total items: 15
next page: https://bbmaps.itu.int/geonetwork/srv/api/records
items per page: 10

BDT GeoCatalogue
type: Catalog
label: BDT GeoCatalogue (ITU-BDT-DNS-FNS)
open search description: eng/portal.opensearch
uri lookup endpoint: eng/rdf.search?any=
publisher: ITU-BDT-DNS-FNS
themes: Continents, countries, sea regions of the world.
language: eng
dataset: https://data.apps.fao.org/map/catalog/srv/resources034c13b9-26f7-484c-98a4-be6e5370ebbd
dataset: ITU-BDT-DNS-FNS
dataset: Continents, countries, sea regions of the world.
dataset: Mobile Coverage Collins Bartholomew
dataset: GSMA - Network Coverage Maps
dataset: range_10km
dataset: BroadbandTransmissionCapacityIndicators_ITU.pdf
dataset: WWW:DOWNLOAD-1.0-http--download-L07 GDPpercapita.zip
dataset: Scenarios of major production systems in Africa
dataset: CLIMAFRICA – Climate change predictions in Sub-Saharan Africa: impacts and adaptations
dataset: 5G acellerator
dataset: f_1_Donnés_simplifiées_antennes_relais_10062022.xlsx
dataset: f_2_Dictionnaire_données_couverture_mobile.xlsx
dataset: f_3_Dictionnaire_données_noeuds.xlsx
dataset: f_4_Dictionnaire_données_liaison_trx_08092023.xlsx
dataset: f_5_Dictionnaire_données_infrastructure_propice.xlsx
dataset: f_6_Dictionnaire_données_microéconomie_14062022.xlsx
dataset: br_1_torre_celular_dados_simplification_10062022.xlsx
dataset: br_2_Cobertura_Movel_dicionario_dados.xlsx
dataset: br_3_Nodos_dicionario_dados.xlsx
dataset: br_4_enlace_transmissao_dicionario_dados_20230908.xlsx
dataset: br_5_infrastructura_de_base_dicionario_dados%20(1).xlsx
dataset: br_6_Microeconomicos_dicionario_dados_14062022.xlsx
dataset: s_1_Datos_torre_celular_simplificados_10062022.xlsx
dataset: s_2_Diccionario_datos_cobertura_m%C3%B3vil.xlsx
dataset: s_3_Diccionario_datos_nodos.xlsx
dataset: s_4_Diccionario_datos_enlace_transmisi%C3%B3n_20230908.xlsx
dataset: s_5_Diccionario_datos_infraestructura_habilitadora(1).xlsx
dataset: s_6_Diccionario_datos_microecon%C3%B3micos_14062022.xlsx
dataset: ITU Data Hub
dataset: The World Bank Data Catalog
dataset: FAO
dataset: Collins Bartholomew
dataset: ITU
dataset: FAO-UN
dataset: ITU/BDT/FNS
dataset: The World Bank
dataset: The administrator of the service

ITU-BDT-DNS-FNS
type: Organization

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: https://bbmaps.itu.int/geonetwork/srv/eng/thesaurus.download

https://bbmaps.itu.int/geonetwork/records/2741dffc-4c7f-4261-9c02-eb54f01f5165
type: CatalogRecord
primary topic: https://data.apps.fao.org/map/catalog/srv/resources034c13b9-26f7-484c-98a4-be6e5370ebbd
conforms to: 32557.html
issued: 2023-06-12
modified: 2023-06-12

Mobile Coverage Explorer 2021 - Operator submission (MCE) 4G Network Coverage (Global, National - 260m)
type: Dataset
abstract: Published by Collins Bartholomew in partnership with Global System for Mobile Communications (GSMA), the Mobile Coverage Explorer is a raster data representation of the area covered by mobile cellular networks around the world. Data_MCE global coverage has been sourced from the network operators and created from submissions made directly to Collins Bartholomew or to GSMA, from operators who provide roaming detail for inclusion in the GSMA’s Network Coverage Maps web application (https://www.gsma.com/coverage). The dataset is provided at Global and National level. Global datasets contain the merged global coverages with the following file naming convention. MCE_Global<Technology>_<DataRelease>, where technology is ‘4G’. At country level the rasters depict the network coverage in each country for each technology. Therefore a country is not defined by its border extent but rather by the coverage supplied by network operators with licences in that country. In the file naming convention, countries are identified using their ISO 3166-1 code as follows: MCE_<ISO2Code><Technology>_<DataRelease>. The cell value in the MCE rasters are as follows: 1 - strong signal 2 - variable signal strength This data is supplemented with coverage created from OpenCellID (please see link in the associated resources of this metadata).
keyword: Mobile
keyword: Coverage
keyword: Cellular
keyword: World
theme: utilitiesCommunication
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-180.00 -74.7538, -180.00 76.8827, 180.00 76.8827, 180.00 -74.7538, -180.00 -74.7538))
temporal: 2010-01-01 / 2020-12-31
publisher: Collins Bartholomew
accrual periodicity: annually
license: copyright
license: license
license: Copyright in the Coverage Data belongs to Collins Bartholomew and the GSMA only. All screen images derived or generated from the Coverage Data should incorporate the following acknowledgement: Coverage Data © Collins Bartholomew and GSMA 2021. The Coverage Data is for research use only, and may not be used for commercial purposes; for clarification, the use of the data to support research that is partially funded by a corporate source does not constitute a commercial purpose. The Coverage Data may be represented in research results as static images, tables or text as necessary to convey research findings, and all screen images derived or generated from the Coverage Data should incorporate the following acknowledgement: Coverage Data © Collins Bartholomew and GSMA 2020. The data may not be redistributed in its raw form.
distribution: Mobile Coverage Collins Bartholomew
distribution: GSMA - Network Coverage Maps
data quality: Data_MCE data is provided directly by operators to GSMA or Collins Bartholomew. However, not every operator has submitted data and so there are inevitable gaps in coverage. The following table shows the percentage number of operators in the latest release that have submitted their coverage data compared to the total number of operators who are members of the GSMA with licenses for each technology. Technology -- % Operator Submissions 4G -- 29% In 2020, 55 operators submitted new data for inclusion in the MCE datasets. Operators are asked to submit strong and variable signal strengths as defined below: Network Type -- Strong/Indoor -- Variable/Outdoor 4G (LTE) -- Greater than -- -105 dBm -105 to -120 dBm However, the data received from operators often does not include signal strength information or does not follow the above guidelines. Therefore, whilst the rasters retain the strong and variable distinctions, this inconsistency must be understood by the user. The cell values in the MCE rasters are as follows: 1 – strong signal strength 2 – variable signal strength Information on the individual networks included in the MCE and OCI data folders is provided as an Excel spreadsheet called Mobile Coverage Explorer Metadata.xlsx. The columns in the spreadsheet are as follows: OPERATOR_ID – a unique numerical identifier assigned to each network operator; NAME – the name of the network operator; CNTRY_ISO2 - the ISO 3166-1 country code used to describe the territory that the mobile network covers; COUNTRY - country name, in English, according to Collins Bartholomew’s naming policy; MCE_<Technology> - A date indicates that this network is included in the MCE coverage data. The date is when the operator’s coverage data was last updated. The format is DD/MM/YYYY. OCI_<Technology> - A ‘Y’ indicates that this network is included in the OCI coverage data. If an operator is not listed in the spreadsheet then they have not submitted coverage data to Collins Bartholomew and are not i…

https://bbmaps.itu.int/geonetwork/records/669d75ba-a164-4407-978c-e3972c184784
type: CatalogRecord
conforms to: 32557.html
issued: 2025-10-15
modified: 2025-10-15

ITU Transmission Networks (BBmaps) - Range to Fibre Node
abstract: Range to a Fibre Notes (Access Points) layers from the ITU Broadband Mapping programme (BBmaps) and research The layer displays 10, 25 and 50 km of distance to a Fibre Node. This is used to calculate the Broadband Capacity Indicator 7 (Percentage of population within reach of transmission networks) The population living within reach of transmission networks is calculated from network nodes (points) rather than routes (lines), because nodes are access points to the network. This is the equivalent of a motorway: a motorway may pass through areas of high and low population density, but the only means of accessing the motorway are at junctions
keyword: WMS
publisher: ITU
distribution: range_10km

https://bbmaps.itu.int/geonetwork/records/40cdfd41-0712-4ff9-9fa2-fbac5d28a577
type: CatalogRecord
conforms to: 32557.html
issued: 2023-07-05
modified: 2023-07-05

ITU Broadband Capacity Indicators Definitions
type: Dataset
distribution: BroadbandTransmissionCapacityIndicators_ITU.pdf

https://bbmaps.itu.int/geonetwork/records/e6c167cf-fd37-4384-8a02-1006e403f529
type: CatalogRecord
conforms to: 32557.html
issued: 2023-01-24
modified: 2023-01-24

GDP per capita (2010) - ClimAfrica WP4
type: Dataset
abstract: The Gross Domestic Product per capita (gross domestic product divided by mid-year population converted to international dollars, using purchasing power parity rates) has been identified as an important determinant of susceptibility and vulnerability by different authors and used in the Disaster Risk Index 2004 (Peduzzi et al. 2009, Schneiderbauer 2007, UNDP 2004) and is commonly used as an indicator for a country’s economic development (e.g. Human Development Index). Despite some criticisms (Brooks et al. 2005) it is still considered useful to estimate a population’s susceptibility to harm, as limited monetary resources are seen as an important factor of vulnerability. However, collection of data on economic variables, especially sub-national income levels, is problematic, due to various shortcomings in the data collection process. Additionally, the informal economy is often excluded from official statistics. Night time lights satellite imagery of NOAA grid provides an alternative means for measuring economic activity. NOAA scientists developed a model for creating a world map of estimated total (formal plus informal) economic activity. Regression models were developed to calibrate the sum of lights to official measures of economic activity at the sub-national level for some target Country and at the national level for other countries of the world, and subsequently regression coefficients were derived. Multiplying the regression coefficients with the sum of lights provided estimates of total economic activity, which were spatially distributed to generate a 30 arc-second map of total economic activity (see Ghosh, T., Powell, R., Elvidge, C. D., Baugh, K. E., Sutton, P. C., & Anderson, S. (2010).Shedding light on the global distribution of economic activity. The Open Geography Journal (3), 148-161). We adjusted the GDP to the total national GDPppp amount as recorded by IMF (International Monetary Fund) for 2010 and we divided it by the population layer from Worldp…
keyword: infrastructures
keyword: night light
keyword: poverty
keyword: GDP
keyword: Gross Domestic Product
keyword: purchasing power parity
keyword: WP4
keyword: ClimAfrica
keyword: Tag_climafrica
keyword: Africa
theme: society
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-17.30 -34.60, -17.30 38.20, 51.10 38.20, 51.10 -34.60, -17.30 -34.60))
issued: 2014-06-01T00:00:00
publisher: FAO-UN
accrual periodicity: asNeeded
language: eng
license: copyright
distribution: WWW:DOWNLOAD-1.0-http--download-L07 GDPpercapita.zip
distribution: Scenarios of major production systems in Africa
distribution: CLIMAFRICA – Climate change predictions in Sub-Saharan Africa: impacts and adaptations

https://bbmaps.itu.int/geonetwork/records/648bab80-bd88-443c-aacb-4bb4a3b57729
type: CatalogRecord
conforms to: 32557.html
issued: 2024-03-25
modified: 2024-03-25

G5 Accelerator
abstract: The G5 Accelerator brings together high-value tools and resources offering practical, step-by-step support for countries already embarked or planning to embark on their digital transformation journey. Discover the gold standard for collaborative digital policy and regulation.
keyword: ITU Data Hub
updated: 2016-02-29T12:00:00
publisher: ITU
distribution: 5G acellerator

https://bbmaps.itu.int/geonetwork/records/220cf68b-984e-48af-b24c-7712f1c495ba
type: CatalogRecord
conforms to: 32557.html
issued: 2023-09-22
modified: 2023-09-22

Dictionnarie Données - Infrastructure TICs
type: Dataset
keyword: data schema
theme: utilitiesCommunication
publisher: ITU/BDT/FNS
distribution: f_1_Donnés_simplifiées_antennes_relais_10062022.xlsx
distribution: f_2_Dictionnaire_données_couverture_mobile.xlsx
distribution: f_3_Dictionnaire_données_noeuds.xlsx
distribution: f_4_Dictionnaire_données_liaison_trx_08092023.xlsx
distribution: f_5_Dictionnaire_données_infrastructure_propice.xlsx
distribution: f_6_Dictionnaire_données_microéconomie_14062022.xlsx

https://bbmaps.itu.int/geonetwork/records/fe4d798b-3e67-4227-adae-87353ff99f64
type: CatalogRecord
conforms to: 32557.html
issued: 2023-09-21
modified: 2023-09-21

Dicionário de Dados de Infraestructura TIC
type: Dataset
keyword: data schema
theme: utilitiesCommunication
publisher: ITU/BDT/FNS
distribution: br_1_torre_celular_dados_simplification_10062022.xlsx
distribution: br_2_Cobertura_Movel_dicionario_dados.xlsx
distribution: br_3_Nodos_dicionario_dados.xlsx
distribution: br_4_enlace_transmissao_dicionario_dados_20230908.xlsx
distribution: br_5_infrastructura_de_base_dicionario_dados%20(1).xlsx
distribution: br_6_Microeconomicos_dicionario_dados_14062022.xlsx

https://bbmaps.itu.int/geonetwork/records/e8823628-a5f0-4bda-ba2c-298c1b81b596
type: CatalogRecord
conforms to: 32557.html
issued: 2024-10-15
modified: 2024-10-15

Diccionario de Datos Infraestructura TIC
type: Dataset
keyword: data schema
theme: utilitiesCommunication
publisher: ITU/BDT/FNS
distribution: s_1_Datos_torre_celular_simplificados_10062022.xlsx
distribution: s_2_Diccionario_datos_cobertura_m%C3%B3vil.xlsx
distribution: s_3_Diccionario_datos_nodos.xlsx
distribution: s_4_Diccionario_datos_enlace_transmisi%C3%B3n_20230908.xlsx
distribution: s_5_Diccionario_datos_infraestructura_habilitadora(1).xlsx
distribution: s_6_Diccionario_datos_microecon%C3%B3micos_14062022.xlsx

https://bbmaps.itu.int/geonetwork/records/4407cef4-1de9-4edf-bbdc-f75702d16452
type: CatalogRecord
conforms to: 32557.html
issued: 2024-03-25
modified: 2024-03-25

ITU Data Hub
abstract: The world’s richest source of ICT statistics and regulatory information. Track the digital transformation with the ITU DataHub, featuring hundreds of ICT indicators on connectivity, markets, affordability, trust governance, and sustainability. Find, compare, and download data for nearly 200 economies.
keyword: ITU Data Hub
updated: 2016-02-29T12:00:00
publisher: ITU
distribution: ITU Data Hub

https://bbmaps.itu.int/geonetwork/records/677b031b-3991-42ce-9e76-9c20b6d1f1c2
type: CatalogRecord
conforms to: 32557.html
issued: 2024-03-26
modified: 2024-03-26

The World Bank Data Catalog
abstract: Getting Started: The Data Catalog is designed to make World Bank's development data easy to find, download, use, and share. It includes data from the World Bank's microdata, finances and energy data platforms, as well as datasets from the open data catalog. There are different ways to access and download datasets. What is Data Catalog? The Data Catalog is a project to provide a more effective means for capture, acquisition, curation, access and use of development-Data Catalog data throughout the World Bank Group. The goal is to maximize the value and investment in data by increasing the potential for the data to be shared and reused, to minimize transaction costs in finding relevant data and data methodologies, and to prevent duplication. The project builds on existing expertise and resources such as the Microdata Library,Open Data Catalog and GFDRR. The Data Catalog provides a “One-Stop Shop” for development data produced, acquired or used by the World Bank in accordance with the Bank Procedure for Development Dataset Acquisition, Archiving and Dissemination, and the Guidance on Data Acquisition and Archiving. This includes metadata for datasets from other catalogs such as the Microdata Library, EnergyData.Info, Finances and World Bank Open Data API. Where needed, the Data Catalog also serves as a data storage repository, providing long-term storage for World Bank development data.
keyword: data catalog
updated: 2016-02-29T12:00:00
publisher: The World Bank
distribution: The World Bank Data Catalog

Mobile Coverage Collins Bartholomew
type: Distribution
access URL: https://www.collinsbartholomew.com/mobile-coverage-maps/
format: WWW:LINK-1.0-http--link

GSMA - Network Coverage Maps
type: Distribution
access URL: https://www.gsma.com/coverage/
format: WWW:LINK-1.0-http--link

range_10km
type: Distribution
access URL: https://bbmaps.itu.int/geoserver/itu-geocatalogue/wms
format: OGC:WMS-1.1.1-http-get-capabilities

BroadbandTransmissionCapacityIndicators_ITU.pdf
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/40cdfd41-0712-4ff9-9fa2-fbac5d28a577/attachments/BroadbandTransmissionCapacityIndicators_ITU.pdf
format: WWW:DOWNLOAD-1.0-http--download

WWW:DOWNLOAD-1.0-http--download-L07 GDPpercapita.zip
type: Distribution
access URL: https://storage.googleapis.com/fao-maps-catalog-data/uuid/e6c167cf-fd37-4384-8a02-1006e403f529/resources/L07_GDPpercapita.zip
format: WWW:DOWNLOAD-1.0-http--download

Scenarios of major production systems in Africa
type: Distribution
access URL: https://www.fao.org/3/i7040e/i7040e.pdf
format: WWW:LINK-1.0-http--link

CLIMAFRICA – Climate change predictions in Sub-Saharan Africa: impacts and adaptations
type: Distribution
access URL: https://www.cmcc.it/projects/climafrica-climate-change-predictions-in-sub-saharian-africa-impacts-and-adaptations
format: WWW:LINK-1.0-http--link

5G acellerator
type: Distribution
access URL: https://gen5.digital/
format: WWW:LINK-1.0-http--link

f_1_Donnés_simplifiées_antennes_relais_10062022.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/220cf68b-984e-48af-b24c-7712f1c495ba/attachments/f_1_Donn%C3%A9es_simplifi%C3%A9es_antennes_relais_10062022.xlsx
format: WWW:DOWNLOAD-1.0-http--download

f_2_Dictionnaire_données_couverture_mobile.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/220cf68b-984e-48af-b24c-7712f1c495ba/attachments/f_2_Dictionnaire_donn%C3%A9es_couverture_mobile.xlsx
format: WWW:DOWNLOAD-1.0-http--download

f_3_Dictionnaire_données_noeuds.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/220cf68b-984e-48af-b24c-7712f1c495ba/attachments/f_3_Dictionnaire_donn%C3%A9es_noeuds.xlsx
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f_4_Dictionnaire_données_liaison_trx_08092023.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/220cf68b-984e-48af-b24c-7712f1c495ba/attachments/f_4_Dictionnaire_donn%C3%A9es_liaison_trx_08092023.xlsx
format: WWW:DOWNLOAD-1.0-http--download

f_5_Dictionnaire_données_infrastructure_propice.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/220cf68b-984e-48af-b24c-7712f1c495ba/attachments/f_5_Dictionnaire_donn%C3%A9es_infrastructure_propice.xlsx
format: WWW:DOWNLOAD-1.0-http--download

f_6_Dictionnaire_données_microéconomie_14062022.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/220cf68b-984e-48af-b24c-7712f1c495ba/attachments/f_6_Dictionnaire_donn%C3%A9es_micro%C3%A9conomie_14062022.xlsx
format: WWW:DOWNLOAD-1.0-http--download

br_1_torre_celular_dados_simplification_10062022.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/fe4d798b-3e67-4227-adae-87353ff99f64/attachments/br_1_torre_celular_dados_simplification_10062022.xlsx
format: WWW:DOWNLOAD-1.0-http--download

br_2_Cobertura_Movel_dicionario_dados.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/fe4d798b-3e67-4227-adae-87353ff99f64/attachments/br_2_Cobertura_Movel_dicionario_dados.xlsx
format: WWW:DOWNLOAD-1.0-http--download

br_3_Nodos_dicionario_dados.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/fe4d798b-3e67-4227-adae-87353ff99f64/attachments/br_3_Nodos_dicionario_dados.xlsx
format: WWW:DOWNLOAD-1.0-http--download

br_4_enlace_transmissao_dicionario_dados_20230908.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/fe4d798b-3e67-4227-adae-87353ff99f64/attachments/br_4_enlace_transmissao_dicionario_dados_20230908.xlsx
format: WWW:DOWNLOAD-1.0-http--download

br_5_infrastructura_de_base_dicionario_dados%20(1).xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/fe4d798b-3e67-4227-adae-87353ff99f64/attachments/br_5_infrastructura_de_base_dicionario_dados%20(1).xlsx
format: WWW:DOWNLOAD-1.0-http--download

br_6_Microeconomicos_dicionario_dados_14062022.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/fe4d798b-3e67-4227-adae-87353ff99f64/attachments/br_6_Microeconomicos_dicionario_dados_14062022.xlsx
format: WWW:DOWNLOAD-1.0-http--download

s_1_Datos_torre_celular_simplificados_10062022.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/e8823628-a5f0-4bda-ba2c-298c1b81b596/attachments/s_1_Datos_torre_celular_simplificados_10062022.xlsx
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s_2_Diccionario_datos_cobertura_m%C3%B3vil.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/e8823628-a5f0-4bda-ba2c-298c1b81b596/attachments/s_2_Diccionario_datos_cobertura_m%C3%B3vil.xlsx
format: WWW:DOWNLOAD-1.0-http--download

s_3_Diccionario_datos_nodos.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/e8823628-a5f0-4bda-ba2c-298c1b81b596/attachments/s_3_Diccionario_datos_nodos.xlsx
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s_4_Diccionario_datos_enlace_transmisi%C3%B3n_20230908.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/e8823628-a5f0-4bda-ba2c-298c1b81b596/attachments/s_4_Diccionario_datos_enlace_transmisi%C3%B3n_20230908.xlsx
format: WWW:DOWNLOAD-1.0-http--download

s_5_Diccionario_datos_infraestructura_habilitadora(1).xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/e8823628-a5f0-4bda-ba2c-298c1b81b596/attachments/s_5_Diccionario_datos_infraestructura_habilitadora(1).xlsx
format: WWW:DOWNLOAD-1.0-http--download

s_6_Diccionario_datos_microecon%C3%B3micos_14062022.xlsx
type: Distribution
access URL: https://bbmaps.itu.int/geonetwork/srv/api/records/e8823628-a5f0-4bda-ba2c-298c1b81b596/attachments/s_6_Diccionario_datos_microecon%C3%B3micos_14062022.xlsx
format: WWW:DOWNLOAD-1.0-http--download

ITU Data Hub
type: Distribution
access URL: https://datahub.itu.int/
format: WWW:LINK-1.0-http--link

The World Bank Data Catalog
type: Distribution
access URL: https://datacatalog.worldbank.org/home
format: WWW:LINK-1.0-http--link

FAO
type: Organization

Collins Bartholomew
type: Organization

ITU
type: Organization

FAO-UN
type: Organization

ITU/BDT/FNS
type: Organization

The World Bank
type: Organization
member: http://localhost:8080/geonetwork/srv/resources/persons/d27108e4290

FAO-DATA
type: Agent

John Allen
type: Agent

The administrator of the service
type: Agent

The administrator of the service
type: Agent

FAO-Data
type: Agent

Selvaraju Ramasamy
type: Agent

STATs and RME division
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Future Networks and Spectrum Management Division
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f_3_Dictionnaire_données_noeuds.xlsx
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f_4_Dictionnaire_données_liaison_trx_08092023.xlsx
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f_5_Dictionnaire_données_infrastructure_propice.xlsx
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f_6_Dictionnaire_données_microéconomie_14062022.xlsx
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br_1_torre_celular_dados_simplification_10062022.xlsx
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br_2_Cobertura_Movel_dicionario_dados.xlsx
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br_3_Nodos_dicionario_dados.xlsx
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br_4_enlace_transmissao_dicionario_dados_20230908.xlsx
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br_5_infrastructura_de_base_dicionario_dados%20(1).xlsx
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br_6_Microeconomicos_dicionario_dados_14062022.xlsx
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s_1_Datos_torre_celular_simplificados_10062022.xlsx
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s_2_Diccionario_datos_cobertura_m%C3%B3vil.xlsx
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s_3_Diccionario_datos_nodos.xlsx
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s_4_Diccionario_datos_enlace_transmisi%C3%B3n_20230908.xlsx
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s_5_Diccionario_datos_infraestructura_habilitadora(1).xlsx
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s_6_Diccionario_datos_microecon%C3%B3micos_14062022.xlsx
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ITU Data Hub
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The World Bank Data Catalog
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