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"name": "Universidad Polit\u00e9cnica de Cartagena" } ], "person_or_org": { "family_name": "Maria Dolores Cano-Ba\u00f1os", "name": "Maria Dolores Cano-Ba\u00f1os", "type": "personal" }, "role": { "id": "datamanager", "title": { "de": "DatenmanagerIn", "en": "Data manager" } } }, { "affiliations": [ { "id": "02k5kx966", "identifiers": [ { "identifier": "02k5kx966", "scheme": "ror" }, { "identifier": "grid.218430.c", "scheme": "grid" }, { "identifier": "0000 0001 2153 2602", "scheme": "isni" } ], "name": "Universidad Polit\u00e9cnica de Cartagena" } ], "person_or_org": { "family_name": "Pilar Manzanares-L\u00f3pez", "name": "Pilar Manzanares-L\u00f3pez", "type": "personal" } }, { "affiliations": [ { "name": "Libelium Labs." } ], "person_or_org": { "family_name": "Antonio J. Jara", "name": "Antonio J. Jara", "type": "personal" } }, { "affiliations": [ { "id": "02k5kx966", "identifiers": [ { "identifier": "02k5kx966", "scheme": "ror" }, { "identifier": "grid.218430.c", "scheme": "grid" }, { "identifier": "0000 0001 2153 2602", "scheme": "isni" } ], "name": "Universidad Polit\u00e9cnica de Cartagena" } ], "person_or_org": { "family_name": "Alejandro Santos", "given_name": "Mart\u00ednez-Sala", "name": "Alejandro Santos, Mart\u00ednez-Sala", "type": "personal" }, "role": { "id": "datacurator", "title": { "de": "DatenkuratorIn", "en": "Data curator" } } } ], "dates": [ { "date": "2024-07-19/2024-07-24", "type": { "id": "collected", "title": { "de": "Gesammelt", "en": "Collected" } } } ], "description": "
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This dataset contains real-world latency measurements in internet collected from a distributed network of probing nodes in Europe, designed to enhance IP geolocation accuracy through machine learning techniques. It includes two separate datasets: a Learning Dataset for model training and a Validation Dataset for performance evaluation. 

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Scenario Description 

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The dataset comprises Round-Trip Time (RTT) latency internet measurements in Europe from different geographically distributed probing nodes (Monitors) to target IP addresses. The geolocation information (latitude/longitude) is provided as ground truth for both the Landmarks (training targets) and the Target Nodes (validation targets) to evaluate model accuracy. As a proof-of-concept, it is used the well-known Ripe Atlas anchor nodes inside Europe to act both as landmarks and target nodes (https://atlas.ripe.net/anchors/). 

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Dataset Structure 

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Each dataset contains multiple rows, where each row represents a RTT fingerprint vector consisting of latency measurements from multiple Monitors to a given target. 

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1) Learning Dataset (LearningDataset_RTT_RipeAtlasEU.csv) 

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2) Validation Dataset (ValidationDataset_RTT_RipeAtlasEU.csv) 

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", "publication_date": "2025-02-17", "publisher": "Zenodo", "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "Cybersecurity, IP geolocation, Latency, Machine Learning, RIPE Atlas" } ], "title": "Dataset of RTT latency internet measurements using Ripe Atlas anchor nodes in Europe." }, "parent": { "access": { "owned_by": { "user": "223574" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": { "default": "c2248af2-90c2-4646-91d6-5b7442eb415e", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2022-12-12T12:11:04.820489+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "c2248af2-90c2-4646-91d6-5b7442eb415e", "links": {}, "metadata": { "curation_policy": "

Puedes enviar datos de investigaci\u00f3n y planes de gesti\u00f3n de datos de investigaci\u00f3n en esta comunidad si eres un investigador de la Universidad Polit\u00e9cnica de Cartagena.

Recuerda que para poner las publicaciones de investigaci\u00f3n en acceso abierto, la Universidad Polit\u00e9cnica de Cartagena cuenta con su repositorio institucional Repositorio Digital UPCT. Repositorio Digital UPCT.
 


You can submit datasets and research data management plan in this community if you are a researcher of Universidad Polit\u00e9cnica de Cartagena. 

Remember that in order to put research publications in open access the Universidad Polit\u00e9cnica de Cartagena has its institutional repository Repositorio Digital UPCT.

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Esta comunidad est\u00e1 disponible para los investigadores de la Universidad Polit\u00e9cnica de Cartagena que deseen poner sus datos de investigaci\u00f3n a disposici\u00f3n del p\u00fablico o necesiten cumplir con requisitos de editoriales, instituciones o mandatos de financiadores, como el Horizonte Europa.

Esta comunidad est\u00e1 gestionada la biblioteca universitaria.


Data repository service available for Universidad Polit\u00e9cnica de Cartagena researchers that want to make their research data openly available or need to comply with requeriments from publishers, institutions or funder mandates, as the Horizon Europe.

This community is managed and curated by university library.

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