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This dataset was used in the KDD Cup 2018 forecasting competition. It contains long hourly time series representing the air quality levels in 59 stations in 2 cities: Beijing (35 stations) and London (24 stations) from 01/01/2017 to 31/03/2018. The air quality level is represented in multiple measurements such as PM2.5, PM10, NO2, CO, O3 and SO2.
\n\nThe dataset uploaded here contains 270 hourly time series which have been categorized using city, station name and air quality measurement.
", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2020-06-14", "publisher": "Zenodo", "references": [ { "reference": "Kdd cup 2018. URL https://www.kdd.org/kdd2018/kdd-cup" } ], "related_identifiers": [ { "identifier": "https://www.kdd.org/kdd2018/kdd-cup", "relation_type": { "id": "cites", "title": { "de": "Zitiert", "en": "Cites" } }, "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "scheme": "url" } ], "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": "KDD Cup" }, { "subject": "forecasting" }, { "subject": "hourly series" } ], "title": "KDD Cup Dataset (with Missing Values)", "version": "4" }, "parent": { "access": { "owned_by": { "user": 106280 } }, "communities": { "default": "fd051f82-7fbf-46af-91a4-d2ba264463ed", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2020-06-08T00:11:07.720311+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "fd051f82-7fbf-46af-91a4-d2ba264463ed", "links": {}, "metadata": { "curation_policy": "", "page": "This repository contains a set of publicly available benchmark datasets used in the time series forecasting research space. The datasets are intended to use only for research purpose.
\r\n\r\nAll datasets are available in .tsf format which is a new format we introduce to store time series data pioneered by the sktime .ts format. The examples of loading the data into the R tsibble format and Python pandas dataframe format are available in our github repository. For more details, please refer to our website: https://forecastingdata.org/ and paper: https://openreview.net/pdf?id=wEc1mgAjU-.
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