{ "data_id": "503", "name": "wind", "exact_name": "wind", "version": 1, "version_label": null, "description": "**Author**: \n**Source**: Unknown - Date unknown \n**Please cite**: \n\nwind daily average wind speeds for 1961-1978 at 12 synoptic meteorological\nstations in the Republic of Ireland (Haslett and raftery 1989).\n\nThese data were analyzed in detail in the following article:\nHaslett, J. and Raftery, A. E. (1989). Space-time Modelling with\nLong-memory Dependence: Assessing Ireland's Wind Power Resource\n(with Discussion). Applied Statistics 38, 1-50.\n\nEach line corresponds to one day of data in the following format:\nyear, month, day, average wind speed at each of the stations in the order given\nin Fig.4 of Haslett and Raftery :\nRPT, VAL, ROS, KIL, SHA, BIR, DUB, CLA, MUL, CLO, BEL, MAL\n\nFortan format : ( i2, 2i3, 12f6.2)\n\nThe data are in knots, not in m\/s.\n\nPermission granted for unlimited distribution.\n\nPlease report all anomalies to fraley@stat.washington.edu\n\nBe aware that the dataset is 532494 bytes long (thats over half a\nMegabyte). Please be sure you want the data before you request it.\n\n\nInformation about the dataset\nCLASSTYPE: numeric\nCLASSINDEX: none specific", "format": "ARFF", "uploader": "Joaquin Vanschoren", "uploader_id": 2, "visibility": "public", "creator": "Haslett, J. and Raftery, A. E.", "contributor": null, "date": "2014-09-29 00:07:06", "update_comment": "set target feature", "last_update": "2014-10-06 17:57:54", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/52615\/wind.arff", "default_target_attribute": "MAL", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "wind", "wind daily average wind speeds for 1961-1978 at 12 synoptic meteorological stations in the Republic of Ireland (Haslett and raftery 1989). These data were analyzed in detail in the following article: Haslett, J. and Raftery, A. E. (1989). Space-time Modelling with Long-memory Dependence: Assessing Ireland's Wind Power Resource (with Discussion). Applied Statistics 38, 1-50. 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