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Non-corrected acceleration records from the COSMOS network

Center for Engineering Strong Motion Data

datasetViewer.description

The Consortium of Organizations for Strong Motion Observation Systems (COSMOS) owns and publishes a database, managed by CESMD, of acceleration records of seismic events captured by the instruments of the various members that compose it. In that database it is possible to find records from various stations for the 1985 San Antonio earthquake and several of its aftershocks. This collection contains the records available in the original database, allowing you to view and download each of the stations recorded by COSMOS. Collection records are available in *npz* format for Python and *mat* for Matlab. In the case of *npz* files, these can be read through the following example ```python import numpy as np with np.load(filename, allow_pickle=True) as f: data = {} for key, value in f.items(): data[key] = value.item() ```

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Fecha (UTC)LatitudLongitudProfundidad [km]Magnitud [*]Tipo magnitudEstacionesIdentificador
1985-03-03 22:47:07-33.135-71.87133.07.8MsCauquenes; Chillán Institute; Colbún; Constitución; Hualane; Illapel; Iloca; La Ligua; Llayllay; Llolleo; Los Vilos; Melipilla; Papudo; Pichilemu; Quintay; Rapel; San Felipe; San Fernando; San Isidro; Santiago (Endesa Bldg); Talca; Valparaíso El Almendral; Valparaíso; Ventanas; Viña del Mar; Zapallar151
1985-03-03 23:38:31-32.738-71.21533.06.3-Llolleo; Valparaíso; Viña del Mar152
1985-04-08 23:27:25-33.025-71.97433.05.0-Llolleo153
1985-04-09 01:56:59-34.131-71.61837.87.2MsCauquenes; Constitución; Iloca; Quintay; Rapel; San Fernando; Santiago (Endesa Bldg); Santiago; Ventanas154

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datasetViewer.download1 datasetViewer.here. datasetViewer.download3

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datasetViewer.programaticAccess1 itrend-ds:7c473f40d7862735

datasetViewer.programaticAccess2 Identificador

datasetViewer.programaticAccess3 datasetViewer.programaticAccess4 datasetViewer.programaticAccess5 datasetViewer.here

```python import pytrend import pandas as pd session = pytrend.itrend_developer_tools() session.set_credentials( access_key_id = '', # Type your access_key_id secret_access_key = '' # Type your secret_access_key ) # Dataset dataset_id = 'itrend-ds:7c473f40d7862735' collection_id = 'Identificador' # Get available formats dataset_formats = session.get_dataset_formats(dataset_id) fmt = dataset_formats[0] # Choose your preferred format: dataset_formats = [csv, xlsx, geojson, shp] # Download file response = session.download_file(dataset_id, fmt) # Download an element filename = response.get('filename') delimiter = response.get('delimiter') df = pd.read_csv(filename, delimiter) element_formats = session.get_element_formats(dataset_id) efmt = element_formats[0] # Choose your preferred format: element_formats = [npz, mat] for r, row in df.iterrows(): element_id = row[collection_id] element_response = session.download_file(dataset_id, efmt, element_id) break ```

datasetViewer.attribution

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datasetViewer.attribution1 Center for Engineering Strong Motion Data, «Non-corrected acceleration records from the COSMOS network». datasetViewer.attribution2

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datasetViewer.attribution3 Center for Engineering Strong Motion Data («Non-corrected acceleration records from the COSMOS network»), datasetViewer.attribution4

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https://www.plataformadedatos.cl/datasets/en/7c473f40d7862735

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