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earthquake data, useful for croissant
from https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/UTY03A and https://www.kaggle.com/datasets/gustavobmgm/earthquakes-for-ml-prediction See also IQSS/dataverse#10341
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data/dataverses/earthquake/datasets/earthquakeml/earthquakeml.json
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{ | ||
"datasetVersion": { | ||
"id": 303243, | ||
"datasetId": 5790232, | ||
"datasetPersistentId": "doi:10.7910/DVN/UTY03A", | ||
"storageIdentifier": "s3://10.7910/DVN/UTY03A", | ||
"versionNumber": 1, | ||
"versionMinorNumber": 0, | ||
"versionState": "RELEASED", | ||
"lastUpdateTime": "2022-01-24T19:22:49Z", | ||
"releaseTime": "2022-01-24T19:22:49Z", | ||
"createTime": "2022-01-24T19:09:53Z", | ||
"license": { | ||
"name": "CC0 1.0", | ||
"uri": "http://creativecommons.org/publicdomain/zero/1.0" | ||
}, | ||
"fileAccessRequest": false, | ||
"metadataBlocks": { | ||
"citation": { | ||
"displayName": "Citation Metadata", | ||
"name": "citation", | ||
"fields": [ | ||
{ | ||
"typeName": "title", | ||
"multiple": false, | ||
"typeClass": "primitive", | ||
"value": "Replication Data for: initial study on predicting earthquakes using machine learning" | ||
}, | ||
{ | ||
"typeName": "author", | ||
"multiple": true, | ||
"typeClass": "compound", | ||
"value": [ | ||
{ | ||
"authorName": { | ||
"typeName": "authorName", | ||
"multiple": false, | ||
"typeClass": "primitive", | ||
"value": "Martins, Gustavo" | ||
} | ||
} | ||
] | ||
}, | ||
{ | ||
"typeName": "datasetContact", | ||
"multiple": true, | ||
"typeClass": "compound", | ||
"value": [ | ||
{ | ||
"datasetContactName": { | ||
"typeName": "datasetContactName", | ||
"multiple": false, | ||
"typeClass": "primitive", | ||
"value": "Martins, Gustavo" | ||
}, | ||
"datasetContactEmail": { | ||
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"typeClass": "primitive", | ||
"value": "[email protected]" | ||
} | ||
} | ||
] | ||
}, | ||
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"value": [ | ||
{ | ||
"dsDescriptionValue": { | ||
"typeName": "dsDescriptionValue", | ||
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"value": "<strong>Context</strong><br><br>\n\nAll earthquakes from 1930 until 2018.<br>\n\nI' using this data on a side/pet project, trying to predict when a quake will happen.<br><br>\n\n<strong>Content</strong><br><br>\n\nAll earthquakes from 1930 until 2018, worldwide. Contain basic information such as location, time and magnitude.<br><br>\n\n<strong>Acknowledgements</strong><br><br>\n\n<a href=\"https://www.usgs.gov/\">The United States Geological Survey (USGS)</a>" | ||
} | ||
} | ||
] | ||
}, | ||
{ | ||
"typeName": "subject", | ||
"multiple": true, | ||
"typeClass": "controlledVocabulary", | ||
"value": [ | ||
"Computer and Information Science", | ||
"Earth and Environmental Sciences", | ||
"Physics" | ||
] | ||
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"multiple": true, | ||
"typeClass": "compound", | ||
"value": [ | ||
{ | ||
"keywordVocabulary": { | ||
"typeName": "keywordVocabulary", | ||
"multiple": false, | ||
"typeClass": "primitive", | ||
"value": "earthquake" | ||
} | ||
}, | ||
{ | ||
"keywordVocabulary": { | ||
"typeName": "keywordVocabulary", | ||
"multiple": false, | ||
"typeClass": "primitive", | ||
"value": "machine learning" | ||
} | ||
}, | ||
{ | ||
"keywordVocabulary": { | ||
"typeName": "keywordVocabulary", | ||
"multiple": false, | ||
"typeClass": "primitive", | ||
"value": "artificial intelligence" | ||
} | ||
}, | ||
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"keywordVocabulary": { | ||
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"typeClass": "primitive", | ||
"value": "data science" | ||
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} | ||
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"value": [ | ||
{ | ||
"publicationCitation": { | ||
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"typeClass": "primitive", | ||
"value": "https://medium.com/marionete/predicting-earthquakes-using-machine-learning-21689435dc52" | ||
}, | ||
"publicationURL": { | ||
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"value": "https://medium.com/marionete/predicting-earthquakes-using-machine-learning-21689435dc52" | ||
} | ||
}, | ||
{ | ||
"publicationCitation": { | ||
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"value": "U.S. Geological Survey, “Earthquakes for ML prediction.” Kaggle, 2021, doi: 10.34740/KAGGLE/DSV/2795577." | ||
}, | ||
"publicationIDType": { | ||
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"multiple": false, | ||
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"value": "doi" | ||
}, | ||
"publicationIDNumber": { | ||
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"value": "10.34740/kaggle/dsv/2795577" | ||
}, | ||
"publicationURL": { | ||
"typeName": "publicationURL", | ||
"multiple": false, | ||
"typeClass": "primitive", | ||
"value": "https://www.kaggle.com/gustavobmgm/earthquakes-for-ml-prediction/metadata" | ||
} | ||
} | ||
] | ||
}, | ||
{ | ||
"typeName": "notesText", | ||
"multiple": false, | ||
"typeClass": "primitive", | ||
"value": "The United States Geological Survey (USGS) earthquake catalog https://earthquake.usgs.gov/earthquakes/search/\nShared following instructions from here https://www.usgs.gov/products/data-and-tools/data-management/publishshare" | ||
}, | ||
{ | ||
"typeName": "depositor", | ||
"multiple": false, | ||
"typeClass": "primitive", | ||
"value": "Martins, Gustavo" | ||
}, | ||
{ | ||
"typeName": "dateOfDeposit", | ||
"multiple": false, | ||
"typeClass": "primitive", | ||
"value": "2022-01-24" | ||
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{ | ||
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"https://www.usgs.gov/" | ||
] | ||
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} | ||
] | ||
} | ||
}, | ||
"citation": "Martins, Gustavo, 2022, \"Replication Data for: initial study on predicting earthquakes using machine learning\", https://doi.org/10.7910/DVN/UTY03A, Harvard Dataverse, V1" | ||
} | ||
} |
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