datasetViewer.description

Set of multi-parametric seismological stations located in the national territory, a communications system to transport the signals to the central servers and a center for the acquisition, archiving, analysis and distribution of data and seismic information. A station is called multi-parametric because it is made up of sensors and ground motion acquisition systems in velocity (broadband seismographs), acceleration (accelerographs) and position (GNSS, Global Positioning Satellite System).

datasetViewer.preview

datasetViewer.previewCollectionInfo

Estación	Nombre estación	Red	Nombre red	Canales	Instrumentos	Región	Provincia	Comuna	Inicio registros	Término registros	Latitud	Longitud	Datum	Elevación
DSPA	Despedida Farm-Tierra del Fuego	AI	Antarctic Seismographic Argentinean Italian Networ	BHE; BHN; BHZ; MHE; MHN; MHZ	CMG-3T, 100 s 1500 V/m/s - DM24 MkII Differential; CMG-3T, 100 s, 1500 V/m/s-DM-24 Mk2 Differential,	No aplica	No aplica	No aplica	2003-01-01	2599-12-31	-53.9536	-68.2668	WGS84	151.0
ANTU	Antumapu	C	Chilean National Seismic Network	HNE; HNN; HNZ	Episensor, DC to >200 Hz, 5V differential full sc	Metropolitana de Santiago	Santiago	La Pintana	2002-09-09	2014-04-01	-33.5691	-70.6335	WGS84	640.0
BI04	Isla Mocha	C	Chilean National Seismic Network	BHE; BHN; BHZ; HHE; HHN; HHZ; HNE; HNN; HNZ; LCE; LCQ; LHE; LHN; LHZ; VCO; VEA; VEC; VEP; VKI; VMU; VMV; VMW; VPB	Quanterra 330 Linear Phase Composite; Guralp CMG5T Sensor/Quanterra 330 Linear Phase Com; Nanometrics Trillium 120 Sec Response/Quanterra 33	Biobío	Arauco	Lebu	2013-08-25	2015-05-11	-38.412	-73.8853	WGS84	61.0
CCH2	Chillan	C	Chilean National Seismic Network	ACE; BHE; BHN; BHZ; HHE; HHN; HHZ; HNE; HNN; HNZ; LCE; LCQ; LHE; LHN; LHZ; LNE; LNN; LNZ; LOG; OCF; UHE; UHN; UHZ; VCO; VEA; VEC; VEP; VHE; VHN; VHZ; VKI; VM0; VM1; VM2; VM3; VM4; VM5; VM6; VPB	Quanterra 330 Linear Phase Composite; Episensor 200 Hz 2.5 Volt per g/Quanterra 330 Line; Nanometrics Trillium 40 Sec Response/Quanterra 330	Ñuble	Diguillín	Chillán	2011-01-01	2014-03-20	-36.603	-72.0778	WGS84	123.0
CCSP	Concepcion San Pedro	C	Chilean National Seismic Network	HNE; HNN; HNZ	Episensor 200 Hz 5 Volt per g/KMI Rock Acausal w 5	Biobío	Concepción	San Pedro de la Paz	2013-06-19	2599-12-31	-36.8442	-73.109	WGS84	84.0
···	···	···	···	···	···	···	···	···	···	···	···	···	···	···
USPA	Uspallante	VC	Sernageomin	HHE; HHN; HHZ	RT151, 30 s, 2000 V/m/s-RT130, gain 1, 100 sps	No aplica	No aplica	No aplica	2010-01-01	2599-12-31	-44.95245	-73.103314	WGS84	15.0
VENTQ	Ventisquero	VC	Sernageomin	HHE; HHN; HHZ	RT151, 30 s, 2000 V/m/s-RT130, gain 1, 100 sps	Los Lagos	Palena	Chaitén	2010-01-01	2599-12-31	-42.88144	-72.45512	WGS84	458.0
VNTQ	Ventisquero	VC	Sernageomin	HHE; HHN; HHZ	RT151, 30 s, 2000 V/m/s-RT130, gain 1, 100 sps	Los Lagos	Palena	Chaitén	2010-01-01	2599-12-31	-42.88144	-72.45512	WGS84	458.0
YLTN	Yulton	VC	Sernageomin	HHE; HHN; HHZ	RT151B, 30 s, 2000 V/m/s-RT130, gain 1, 100 sps	Aysén del General Carlos Ibáñez del Campo	Aisén	Cisnes	2018-02-28	2599-12-31	-45.05831	-73.10867	WGS84	1019.0
YLTN	Yulton	VC	Sernageomin	HHE; HHN; HHZ	RT151B, 30 s, 2000 V/m/s-RT130, gain 1, 100 sps	Aysén del General Carlos Ibáñez del Campo	Aisén	Cisnes	2018-02-28	2599-12-31	-45.05831	-73.10867	WGS84	1019.0

datasetViewer.spatialCoverage

datasetViewer.spatialCoverageInfo datasetViewer.mapView

datasetViewer.download

datasetViewer.download1 datasetViewer.here. datasetViewer.download3

datasetViewer.programaticAccess

datasetViewer.programaticAccess1 itrend-ds:M3K0OI578I3JAB1

datasetViewer.programaticAccess2 Estación

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:M3K0OI578I3JAB1' collection_id = 'Estación' # Get available formats dataset_formats = session.get_dataset_formats(dataset_id) fmt = dataset_formats[0] # Choose your preferred format: dataset_formats = [csv, shp, geojson] # 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 = [] for r, row in df.iterrows(): element_id = row[collection_id] element_response = session.download_file(dataset_id, efmt, element_id) break ```

datasetViewer.attribution

datasetViewer.attributionMessage1

datasetViewer.attribution1 National Seismological Center, «National seismological network». datasetViewer.attribution2

datasetViewer.attributionMessage2

datasetViewer.attribution3 National Seismological Center («National seismological network»), datasetViewer.attribution4

datasetViewer.permanentLink

datasetViewer.permanentLinkDescription

https://www.plataformadedatos.cl/datasets/en/M3K0OI578I3JAB1

datasetViewer.metadata

datasetViewer.noMetadata

National seismological network

National Seismological Center open_in_new

play_arrowdatasetViewer.description

play_arrowdatasetViewer.preview

play_arrowdatasetViewer.spatialCoverage

play_arrowdatasetViewer.download

play_arrowdatasetViewer.programaticAccess

play_arrowdatasetViewer.attribution

play_arrowdatasetViewer.permanentLink

play_arrowdatasetViewer.metadata

National Seismological Center