pysmo
Pysmo protocol classes and their minimal implementations.
The pysmo base namespace provides protocol classes used as type hints
and a minimal reference implementation ("Mini class") for each protocol.
The protocols define common seismological data structures such as locations,
seismic events, stations, and seismograms.
Each Mini class is a concrete attrs class that implements exactly the
attributes required by its protocol. Mini classes are named by prefixing
"Mini" to the protocol name (e.g. MiniSeismogram
implements the Seismogram protocol).
Classes, functions, and other tools that operate on pysmo types are provided
by the pysmo.classes, pysmo.functions, and pysmo.tools
subpackages.
Modules:
| Name | Description |
|---|---|
classes |
Concrete classes compatible with pysmo types. |
functions |
Building-block functions for pysmo types. |
lib |
Internal utilities, converters, validators, defaults, and I/O used by pysmo. |
tools |
Topic-specific tools that operate on pysmo types. |
typing |
Annotated type aliases that document value constraints. |
Classes:
| Name | Description |
|---|---|
Event |
Protocol class to define the |
Location |
Protocol class to define the |
LocationWithDepth |
Protocol class to define the |
MiniEvent |
Minimal implementation of the |
MiniLocation |
Minimal implementation of the |
MiniLocationWithDepth |
Minimal implementation of the |
MiniResponse |
Minimal implementation of the |
MiniResponseStage |
Minimal implementation of the |
MiniSeismogram |
Minimal implementation of the |
MiniStagedResponse |
Minimal implementation of the |
MiniStation |
Minimal implementation of the |
MiniStationCode |
Minimal implementation of the |
Response |
Protocol class to define the |
ResponseStage |
Protocol class to define one digital (FIR/IIR) decimation stage. |
Seismogram |
Protocol class to define the |
StagedResponse |
Protocol class to define a |
Station |
Protocol class to define the |
StationCode |
Protocol class to define the |
Event
Bases: LocationWithDepth, Protocol
Protocol class to define the Event type.
A seismic event: a hypocentre from
LocationWithDepth together with an origin
time.
Attributes:
| Name | Type | Description |
|---|---|---|
latitude |
float
|
Latitude in degrees. |
longitude |
float
|
Longitude in degrees. |
depth |
float
|
Location depth in metres, positive downwards. |
time |
Timestamp
|
Event origin time. |
Source code in src/pysmo/_types/event.py
Location
LocationWithDepth
Protocol class to define the LocationWithDepth type.
A Location that also carries a depth, such as an
earthquake hypocentre.
Attributes:
| Name | Type | Description |
|---|---|---|
latitude |
float
|
Latitude in degrees. |
longitude |
float
|
Longitude in degrees. |
depth |
float
|
Location depth in metres, positive downwards. |
Source code in src/pysmo/_types/location_with_depth.py
MiniEvent
Minimal implementation of the Event type.
See Event.
Examples:
>>> from pysmo import MiniEvent
>>> import pandas as pd
>>> from datetime import timezone
>>> now = pd.Timestamp.now(timezone.utc)
>>> event = MiniEvent(latitude=-24.68, longitude=-26.73, depth=15234.0, time=now)
>>>
Attributes:
| Name | Type | Description |
|---|---|---|
time |
UtcTimestamp
|
Event origin time. |
latitude |
float
|
Event latitude from -90 to 90 degrees. |
longitude |
float
|
Event longitude from -180 to 180 degrees (-180 is stored as +180). |
depth |
float
|
Event depth in metres, positive downwards. |
Source code in src/pysmo/_types/event.py
time
class-attribute
instance-attribute
time: UtcTimestamp = field(
converter=to_utc_timestamp,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Event origin time.
latitude
class-attribute
instance-attribute
latitude: float = field(
converter=float,
validator=is_latitude,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Event latitude from -90 to 90 degrees.
longitude
class-attribute
instance-attribute
longitude: float = field(
converter=to_longitude,
validator=is_longitude,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Event longitude from -180 to 180 degrees (-180 is stored as +180).
MiniLocation
Minimal implementation of the Location type.
See Location.
Examples:
>>> from pysmo import MiniLocation
>>> location = MiniLocation(latitude=41.8781, longitude=-87.6298)
>>>
Attributes:
| Name | Type | Description |
|---|---|---|
latitude |
float
|
Latitude from -90 to 90 degrees. |
longitude |
float
|
Longitude from -180 to 180 degrees (-180 is stored as +180). |
Source code in src/pysmo/_types/location.py
latitude
class-attribute
instance-attribute
latitude: float = field(
converter=float,
validator=is_latitude,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Latitude from -90 to 90 degrees.
longitude
class-attribute
instance-attribute
longitude: float = field(
converter=to_longitude,
validator=is_longitude,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Longitude from -180 to 180 degrees (-180 is stored as +180).
MiniLocationWithDepth
Minimal implementation of the LocationWithDepth type.
See LocationWithDepth.
Examples:
>>> from pysmo import MiniLocationWithDepth
>>> hypo = MiniLocationWithDepth(latitude=-24.68, longitude=-26.73, depth=15234.0)
>>>
Attributes:
| Name | Type | Description |
|---|---|---|
latitude |
float
|
Location latitude from -90 to 90 degrees. |
longitude |
float
|
Location longitude from -180 to 180 degrees (-180 is stored as +180). |
depth |
float
|
Location depth in metres, positive downwards. |
Source code in src/pysmo/_types/location_with_depth.py
latitude
class-attribute
instance-attribute
latitude: float = field(
converter=float,
validator=is_latitude,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Location latitude from -90 to 90 degrees.
longitude
class-attribute
instance-attribute
longitude: float = field(
converter=to_longitude,
validator=is_longitude,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Location longitude from -180 to 180 degrees (-180 is stored as +180).
MiniResponse
Minimal implementation of the Response type.
See Response.
Examples:
>>> from pysmo import MiniResponse
>>> response = MiniResponse(
... poles=[-0.037 + 0.037j, -0.037 - 0.037j],
... zeros=[0j, 0j],
... overall_sensitivity=3.4e9,
... input_units="M/S",
... )
>>>
Attributes:
| Name | Type | Description |
|---|---|---|
poles |
list[complex]
|
Response poles. |
zeros |
list[complex]
|
Response zeros. |
overall_sensitivity |
NonZeroNumber
|
Scale factor combined with |
reference_sensitivity |
NonZeroNumber | None
|
Total system sensitivity at the reference frequency, |
input_units |
str
|
Physical units produced by removing this response. |
Source code in src/pysmo/_types/response.py
poles
class-attribute
instance-attribute
zeros
class-attribute
instance-attribute
overall_sensitivity
class-attribute
instance-attribute
overall_sensitivity: NonZeroNumber = field(
converter=float,
validator=is_nonzero,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Scale factor combined with poles/zeros to reconstruct H(f).
See Response.overall_sensitivity
for more details.
reference_sensitivity
class-attribute
instance-attribute
reference_sensitivity: NonZeroNumber | None = field(
default=None,
converter=converters.optional(float),
validator=validators.optional(is_nonzero),
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Total system sensitivity at the reference frequency, A0 excluded.
See
Response.reference_sensitivity
for more details.
MiniResponseStage
Minimal implementation of the ResponseStage type.
See ResponseStage.
Examples:
>>> from pysmo import MiniResponseStage
>>> stage = MiniResponseStage(
... input_sample_rate=40.0,
... decimation_factor=1,
... numerator=[0.5, 0.5],
... )
>>> stage.denominator
[1.0]
>>>
Attributes:
| Name | Type | Description |
|---|---|---|
input_sample_rate |
PositiveNumber
|
Sample rate this stage's filter coefficients operate at. |
decimation_factor |
int
|
Integer decimation factor applied by this stage. |
numerator |
list[float]
|
Feedforward ("b") filter coefficients. |
denominator |
list[float]
|
Feedback ("a") filter coefficients. |
correction |
float
|
Time correction (seconds) already applied to cancel this stage's own |
Source code in src/pysmo/_types/response.py
input_sample_rate
class-attribute
instance-attribute
input_sample_rate: PositiveNumber = field(
converter=float,
validator=validators.gt(0),
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Sample rate this stage's filter coefficients operate at.
See ResponseStage.input_sample_rate
for more details.
decimation_factor
class-attribute
instance-attribute
decimation_factor: int = field(
converter=to_strict_int,
validator=validators.gt(0),
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Integer decimation factor applied by this stage.
See ResponseStage.decimation_factor
for more details.
numerator
class-attribute
instance-attribute
MiniSeismogram
Bases: SeismogramEndtimeMixin
Minimal implementation of the Seismogram type.
See Seismogram.
Examples:
>>> from pysmo import MiniSeismogram
>>> import pandas as pd
>>> from datetime import timezone
>>> import numpy as np
>>> now = pd.Timestamp.now(timezone.utc)
>>> delta = pd.Timedelta(seconds=0.1)
>>> seismogram = MiniSeismogram(
... begin_time=now, delta=delta, data=np.random.rand(100)
... )
>>>
Attributes:
| Name | Type | Description |
|---|---|---|
end_time |
Timestamp
|
Seismogram end time. |
begin_time |
UtcTimestamp
|
Seismogram begin time. |
delta |
PositiveTimedelta
|
Seismogram sampling interval. |
data |
NDArray[floating]
|
Seismogram data. |
Source code in src/pysmo/_types/seismogram.py
begin_time
class-attribute
instance-attribute
begin_time: UtcTimestamp = field(
default=SeismogramDefaults.begin_time,
converter=to_utc_timestamp,
on_setattr=setters.convert,
)
Seismogram begin time.
delta
class-attribute
instance-attribute
delta: PositiveTimedelta = field(
default=SeismogramDefaults.delta,
converter=to_timedelta,
validator=is_positive_timedelta,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Seismogram sampling interval.
data
class-attribute
instance-attribute
data: NDArray[floating] = field(
factory=lambda: np.array([]),
converter=to_ndarray,
validator=validators.instance_of(np.ndarray),
on_setattr=setters.pipe(
setters.convert, setters.validate
),
eq=cmp_using(eq=np.array_equal),
)
Seismogram data.
MiniStagedResponse
Bases: MiniResponse
Minimal implementation of the StagedResponse type.
See StagedResponse.
Examples:
>>> from pysmo import MiniStagedResponse
>>> response = MiniStagedResponse(
... poles=[-0.037 + 0.037j, -0.037 - 0.037j],
... zeros=[0j, 0j],
... overall_sensitivity=3.4e9,
... input_units="M/S",
... )
>>>
Attributes:
| Name | Type | Description |
|---|---|---|
poles |
list[complex]
|
Response poles. |
zeros |
list[complex]
|
Response zeros. |
overall_sensitivity |
NonZeroNumber
|
Scale factor combined with |
reference_sensitivity |
NonZeroNumber | None
|
Total system sensitivity at the reference frequency, |
input_units |
str
|
Physical units produced by removing this response. |
stages |
list[ResponseStage]
|
Digital decimation stages, in signal order. |
Source code in src/pysmo/_types/response.py
poles
class-attribute
instance-attribute
zeros
class-attribute
instance-attribute
overall_sensitivity
class-attribute
instance-attribute
overall_sensitivity: NonZeroNumber = field(
converter=float,
validator=is_nonzero,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Scale factor combined with poles/zeros to reconstruct H(f).
See Response.overall_sensitivity
for more details.
reference_sensitivity
class-attribute
instance-attribute
reference_sensitivity: NonZeroNumber | None = field(
default=None,
converter=converters.optional(float),
validator=validators.optional(is_nonzero),
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Total system sensitivity at the reference frequency, A0 excluded.
See
Response.reference_sensitivity
for more details.
input_units
class-attribute
instance-attribute
stages
class-attribute
instance-attribute
stages: list[ResponseStage] = field(
factory=list,
validator=validators.deep_iterable(
member_validator=satisfies_protocol(ResponseStage),
iterable_validator=validators.instance_of(list),
),
on_setattr=setters.validate,
)
MiniStation
Minimal implementation of the Station type.
See Station.
Examples:
>>> from pysmo import MiniStation
>>> station = MiniStation(
... latitude=-21.680301,
... longitude=-46.732601,
... name="CACB",
... network="BL",
... channel="BHZ",
... location="00",
... )
>>>
Attributes:
| Name | Type | Description |
|---|---|---|
name |
str
|
Station name. |
network |
str
|
Network name. |
location |
str
|
Location ID. |
channel |
str
|
Channel code. |
latitude |
float
|
Station latitude from -90 to 90 degrees. |
longitude |
float
|
Station longitude from -180 to 180 degrees (-180 is stored as +180). |
elevation |
float | None
|
Station elevation. |
Source code in src/pysmo/_types/station.py
142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 | |
name
class-attribute
instance-attribute
network
class-attribute
instance-attribute
location
class-attribute
instance-attribute
channel
class-attribute
instance-attribute
latitude
class-attribute
instance-attribute
latitude: float = field(
converter=float,
validator=is_latitude,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Station latitude from -90 to 90 degrees.
longitude
class-attribute
instance-attribute
longitude: float = field(
converter=to_longitude,
validator=is_longitude,
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Station longitude from -180 to 180 degrees (-180 is stored as +180).
elevation
class-attribute
instance-attribute
elevation: float | None = field(
default=None,
converter=converters.optional(float),
validator=validators.optional(
validators.instance_of(float)
),
on_setattr=setters.pipe(
setters.convert, setters.validate
),
)
Station elevation.
MiniStationCode
Minimal implementation of the StationCode type.
See StationCode.
Examples:
>>> from pysmo import MiniStationCode
>>> code = MiniStationCode(
... name="CACB", network="BL", channel="BHZ", location="00"
... )
>>>
Attributes:
| Name | Type | Description |
|---|---|---|
name |
str
|
Station name. |
network |
str
|
Network name. |
location |
str
|
Location ID. |
channel |
str
|
Channel code. |
Source code in src/pysmo/_types/station.py
name
class-attribute
instance-attribute
network
class-attribute
instance-attribute
location
class-attribute
instance-attribute
channel
class-attribute
instance-attribute
Response
Bases: Protocol
Protocol class to define the Response type.
Represents an analog instrument response (Laplace domain), equivalent to a SAC PZ file: poles/zeros plus the total system sensitivity.
Attributes:
| Name | Type | Description |
|---|---|---|
poles |
list[complex]
|
Response poles, in radians/second. |
zeros |
list[complex]
|
Response zeros, in radians/second. |
overall_sensitivity |
NonZeroNumber
|
Scale factor combined with |
reference_sensitivity |
NonZeroNumber | None
|
Total system sensitivity (counts per physical unit) at the response's |
input_units |
str
|
Physical units produced by removing this response (e.g. |
Source code in src/pysmo/_types/response.py
poles
instance-attribute
Response poles, in radians/second.
SAC PZ / LAPLACE (RADIANS/SECOND) convention.
overall_sensitivity
instance-attribute
overall_sensitivity: NonZeroNumber
Scale factor combined with poles/zeros to reconstruct the full,
frequency-dependent transfer function H(f).
Equivalent to CONSTANT in a SAC PZ file (A0 * sensitivity, the
analog stage's normalisation factor times the reference-frequency
sensitivity), or FDSN StationXML's NormalizationFactor *
InstrumentSensitivity. This is not the instrument's plain flat-band
gain (see reference_sensitivity
for that), so dividing raw data by overall_sensitivity directly
(rather than combining it with poles/zeros, or using
reference_sensitivity instead) mis-scales the result by the A0
factor, often several orders of magnitude.
Negative values are permitted (but not zero): a negative CONSTANT/
NormalizationFactor is how a reversed-polarity channel is recorded in
the wild, not an error.
reference_sensitivity
instance-attribute
reference_sensitivity: NonZeroNumber | None
Total system sensitivity (counts per physical unit) at the response's
own reference/normalisation frequency, with no A0 normalisation folded
in.
Equivalent to SAC PZ's SENSITIVITY header value, or FDSN StationXML's
InstrumentSensitivity/Value. This (not overall_sensitivity, which
has A0 folded in) is the correct divisor for a flat, zero-phase
approximation of the response (e.g.
remove_response's
sensitivity-only path). None if unavailable (e.g. a SAC PZ file
without a SENSITIVITY header): callers needing it should raise rather
than silently substituting overall_sensitivity. As with
overall_sensitivity, a negative value indicates reversed polarity
rather than an error; zero is not permitted.
input_units
instance-attribute
input_units: str
Physical units produced by removing this response (e.g. "M/S", "M/S**2").
Informational only: not validated against a fixed set of units, and not
read by remove_response or
integrate/
differentiate; callers are
responsible for interpreting it themselves.
ResponseStage
Bases: Protocol
Protocol class to define one digital (FIR/IIR) decimation stage.
Attributes:
| Name | Type | Description |
|---|---|---|
input_sample_rate |
PositiveNumber
|
Sample rate (Hz) this stage's filter coefficients operate at. |
decimation_factor |
int
|
Integer decimation factor applied by this stage. |
numerator |
list[float]
|
Feedforward ("b") filter coefficients. |
denominator |
list[float]
|
Feedback ("a") filter coefficients. |
correction |
float
|
Time correction (seconds) already applied to the recorded data to |
Source code in src/pysmo/_types/response.py
input_sample_rate
instance-attribute
input_sample_rate: PositiveNumber
Sample rate (Hz) this stage's filter coefficients operate at.
decimation_factor
instance-attribute
decimation_factor: int
numerator
instance-attribute
denominator
instance-attribute
Feedback ("a") filter coefficients. [1.0] for a pure FIR stage.
correction
instance-attribute
correction: float
Time correction (seconds) already applied to the recorded data to cancel this stage's own filter delay.
Equivalent to FDSN StationXML's Decimation/Correction (SEED Blockette
57 field 8). Real digitisers timestamp their output as if this stage
had zero delay, by shifting the data earlier by this amount; evaluating
numerator/denominator alone (e.g. via scipy.signal.freqz) instead
reproduces the filter's own, uncorrected delay. 0.0 (the default,
correct for a stage with no such correction, e.g. a symmetric FIR
stage where the coefficients themselves carry no net delay) leaves the
coefficient-derived transfer function unchanged.
Seismogram
Bases: Protocol
Protocol class to define the Seismogram type.
Examples:
A function annotated with Seismogram accepts any compatible class.
This one returns the begin time in ISO format:
>>> from pysmo import Seismogram
>>> from pysmo.classes import SAC # SAC implements the Seismogram protocol
>>>
>>> def example_function(seis_in: Seismogram) -> str:
... return seis_in.begin_time.isoformat()
...
>>> sac = SAC.from_file("example.sac")
>>> seismogram = sac.seismogram
>>> example_function(seismogram)
'2010-02-27T06:44:06.069538+00:00'
>>>
Attributes:
| Name | Type | Description |
|---|---|---|
begin_time |
Timestamp
|
Seismogram begin time. |
data |
NDArray[floating]
|
Seismogram data. |
delta |
Timedelta
|
Seismogram sampling interval. |
end_time |
Timestamp
|
Seismogram end time. |
Source code in src/pysmo/_types/seismogram.py
delta
instance-attribute
delta: Timedelta
Seismogram sampling interval.
Must be a positive pd.Timedelta.
StagedResponse
Protocol class to define a Response with digital decimation stages.
Extends Response with the digital FIR/IIR stages of the instrument's
full signal chain, in stage (signal) order.
Attributes:
| Name | Type | Description |
|---|---|---|
poles |
list[complex]
|
Response poles, in radians/second. |
zeros |
list[complex]
|
Response zeros, in radians/second. |
overall_sensitivity |
NonZeroNumber
|
Scale factor combined with |
reference_sensitivity |
NonZeroNumber | None
|
Total system sensitivity (counts per physical unit) at the response's |
input_units |
str
|
Physical units produced by removing this response (e.g. |
stages |
list[ResponseStage]
|
Digital decimation stages, in signal order (stage 1 = closest to the |
Source code in src/pysmo/_types/response.py
poles
instance-attribute
Response poles, in radians/second.
SAC PZ / LAPLACE (RADIANS/SECOND) convention.
overall_sensitivity
instance-attribute
overall_sensitivity: NonZeroNumber
Scale factor combined with poles/zeros to reconstruct the full,
frequency-dependent transfer function H(f).
Equivalent to CONSTANT in a SAC PZ file (A0 * sensitivity, the
analog stage's normalisation factor times the reference-frequency
sensitivity), or FDSN StationXML's NormalizationFactor *
InstrumentSensitivity. This is not the instrument's plain flat-band
gain (see reference_sensitivity
for that), so dividing raw data by overall_sensitivity directly
(rather than combining it with poles/zeros, or using
reference_sensitivity instead) mis-scales the result by the A0
factor, often several orders of magnitude.
Negative values are permitted (but not zero): a negative CONSTANT/
NormalizationFactor is how a reversed-polarity channel is recorded in
the wild, not an error.
reference_sensitivity
instance-attribute
reference_sensitivity: NonZeroNumber | None
Total system sensitivity (counts per physical unit) at the response's
own reference/normalisation frequency, with no A0 normalisation folded
in.
Equivalent to SAC PZ's SENSITIVITY header value, or FDSN StationXML's
InstrumentSensitivity/Value. This (not overall_sensitivity, which
has A0 folded in) is the correct divisor for a flat, zero-phase
approximation of the response (e.g.
remove_response's
sensitivity-only path). None if unavailable (e.g. a SAC PZ file
without a SENSITIVITY header): callers needing it should raise rather
than silently substituting overall_sensitivity. As with
overall_sensitivity, a negative value indicates reversed polarity
rather than an error; zero is not permitted.
input_units
instance-attribute
input_units: str
Physical units produced by removing this response (e.g. "M/S", "M/S**2").
Informational only: not validated against a fixed set of units, and not
read by remove_response or
integrate/
differentiate; callers are
responsible for interpreting it themselves.
stages
instance-attribute
stages: list[ResponseStage]
Digital decimation stages, in signal order (stage 1 = closest to the analog sensor).
Station
Bases: Location, StationCode, Protocol
Protocol class to define the Station type.
A seismic station: NSLC identity from
StationCode, position from
Location, and an optional elevation.
Attributes:
| Name | Type | Description |
|---|---|---|
name |
str
|
Station name or identifier. |
network |
str
|
Network name or identifier. |
location |
str
|
Location ID. |
channel |
str
|
Channel code. |
latitude |
float
|
Latitude in degrees. |
longitude |
float
|
Longitude in degrees. |
elevation |
int | float | None
|
Station elevation in metres. |
Source code in src/pysmo/_types/station.py
name
instance-attribute
name: str
Station name or identifier.
A 1- to 5-character identifier for the station recording the data.
network
instance-attribute
network: str
Network name or identifier.
A 1- or 2-character code identifying the network that owns the data.
location
instance-attribute
location: str
Location ID.
A 2-character code used to identify different data streams at a single station.
channel
instance-attribute
channel: str
Channel code.
A 3-character combination that identifies:
- Band and general sample rate.
- Instrument type.
- Orientation of the sensor.
StationCode
Bases: Protocol
Protocol class to define the StationCode type.
Network/station/location/channel (NSLC) identity for a data stream,
independent of geographic location; the subset of Station a format
like miniSEED can provide without coordinates.
Attributes:
| Name | Type | Description |
|---|---|---|
name |
str
|
Station name or identifier. |
network |
str
|
Network name or identifier. |
location |
str
|
Location ID. |
channel |
str
|
Channel code. |
Source code in src/pysmo/_types/station.py
name
instance-attribute
name: str
Station name or identifier.
A 1- to 5-character identifier for the station recording the data.
network
instance-attribute
network: str
Network name or identifier.
A 1- or 2-character code identifying the network that owns the data.
location
instance-attribute
location: str
Location ID.
A 2-character code used to identify different data streams at a single station.
channel
instance-attribute
channel: str
Channel code.
A 3-character combination that identifies:
- Band and general sample rate.
- Instrument type.
- Orientation of the sensor.