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| "author": "Azzola, J\u00e9r\u00f4me", | | "author": "Azzola, J\u00e9r\u00f4me", |
| "author_email": "", | | "author_email": "", |
n | | n | "citation": [], |
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| "doi": "10.35097/1430", | | "doi": "10.35097/1430", |
| "doi_date_published": "2023", | | "doi_date_published": "2023", |
| "doi_publisher": "", | | "doi_publisher": "", |
| "doi_status": "True", | | "doi_status": "True", |
n | | n | "extra_authors": [ |
| | | { |
| | | "extra_author": "Thiemann, Katja", |
| | | "familyName": "Thiemann", |
| | | "givenName": "Katja", |
| | | "orcid": "" |
| | | }, |
| | | { |
| | | "extra_author": "Gaucher, Emmanuel", |
| | | "familyName": "Gaucher", |
| | | "givenName": "Emmanuel", |
| | | "orcid": "" |
| | | } |
| | | ], |
| | | "familyName": "Azzola", |
| | | "givenName": "J\u00e9r\u00f4me", |
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| "license_id": "CC BY-NC-SA 4.0 | | "license_id": "CC BY-NC-SA 4.0 |
| Attribution-NonCommercial-ShareAlike", | | Attribution-NonCommercial-ShareAlike", |
| "license_title": "CC BY-NC-SA 4.0 | | "license_title": "CC BY-NC-SA 4.0 |
| Attribution-NonCommercial-ShareAlike", | | Attribution-NonCommercial-ShareAlike", |
| "metadata_created": "2023-08-04T08:51:04.991941", | | "metadata_created": "2023-08-04T08:51:04.991941", |
n | "metadata_modified": "2023-08-04T09:31:31.708364", | n | "metadata_modified": "2024-11-28T13:15:34.812172", |
| "name": "rdr-doi-10-35097-1430", | | "name": "rdr-doi-10-35097-1430", |
t | "notes": "TechnicalRemarks: Data associated with Azzola et al. 2022 | t | "notes": "TechnicalRemarks: Data associated with Azzola J, Thiemann |
| (submitted to Solid Earth)\r\n' Towards real-time seismic monitoring | | K, Gaucher E. Integration of Distributed Acoustic Sensing for |
| of a geothermal plant using Distributed Acoustic Sensing '\r\n\r\n- | | real-time seismic monitoring of a geothermal field. Geothermal Energy |
| | | \u2013 Science, Society and Technology. 2023.\r\n\r\n- mini-seed files |
| mini-seed files include data subsets for both events studied in the | | include data subsets for both events studied in the article: DAS |
| article: DAS strain-rate data are sampled at 500Hz and provided | | strain-rate data are sampled at 500Hz and provided unfiltered, with |
| unfiltered, with station names defined as the depth of the measuring | | station names defined as the depth of the measuring point in well TH3 |
| point in well TH3 (datum is ground level). \r\n- python codes | | (datum is ground level).\r\n\r\n- python codes associated with the |
| associated with the processing of the DAS strain-rate datasets on the | | processing of the DAS strain-rate datasets on the Azure cloud work |
| Azure cloud work stations. The codes manage, in particular, the | | stations. The codes aim in particular at reading HDF5 files generated |
| reading of the HDF5 files generated by the interrogator and | | by the interrogator and transferred to the Azure data |
| transferred to the data lake.\r\n\r\nCorresponding author: Jerome | | lake.\r\n\r\nCorresponding author: Jerome Azzola, |
| Azzola, jerome.azzola@kit.edu", | | jerome.azzola@kit.edu", |
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| "approval_status": "approved", | | "approval_status": "approved", |
| "created": "2023-01-12T13:30:23.238233", | | "created": "2023-01-12T13:30:23.238233", |
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| "production_year": "2022", | | "production_year": "2022", |
| "publication_year": "2023", | | "publication_year": "2023", |
| "publishers": [ | | "publishers": [ |
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| "publisher": "Karlsruhe Institute of Technology" | | "publisher": "Karlsruhe Institute of Technology" |
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| "tags": [], | | "tags": [], |
| "title": "Distributed acoustic sensing (das) data associated with a | | "title": "Distributed acoustic sensing (das) data associated with a |
| 6-month seismic monitoring of the sch\u00e4ftlarnstra\u00dfe | | 6-month seismic monitoring of the sch\u00e4ftlarnstra\u00dfe |
| geothermal site (munich, germany)", | | geothermal site (munich, germany)", |
| "type": "vdataset", | | "type": "vdataset", |
| "url": "https://doi.org/10.35097/1430" | | "url": "https://doi.org/10.35097/1430" |
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