checksum
(time)
float32
dask.array<chunksize=(11079,), meta=np.ndarray>
- comment :
- Data checksum.
- coordinates :
- time lat lon
- long_name :
- Data Checksum
- precision :
- 0
- units :
- 1
| Array | Chunk |
Bytes | 44.32 kB | 44.32 kB |
Shape | (11079,) | (11079,) |
Count | 2 Tasks | 1 Chunks |
Type | float32 | numpy.ndarray |
|
|
deployment
(time)
int32
dask.array<chunksize=(11079,), meta=np.ndarray>
- long_name :
- Deployment Number
- name :
- deployment
| Array | Chunk |
Bytes | 44.32 kB | 44.32 kB |
Shape | (11079,) | (11079,) |
Count | 2 Tasks | 1 Chunks |
Type | int32 | numpy.ndarray |
|
|
driver_timestamp
(time)
float64
dask.array<chunksize=(11079,), meta=np.ndarray>
- comment :
- Driver timestamp, UTC
- long_name :
- Driver Timestamp, UTC
- units :
- seconds since 1900-01-01
| Array | Chunk |
Bytes | 88.63 kB | 88.63 kB |
Shape | (11079,) | (11079,) |
Count | 2 Tasks | 1 Chunks |
Type | float64 | numpy.ndarray |
|
|
ingestion_timestamp
(time)
float64
dask.array<chunksize=(11079,), meta=np.ndarray>
- comment :
- The NTP Timestamp for when the granule was ingested
- long_name :
- Ingestion Timestamp, UTC
- units :
- seconds since 1900-01-01
| Array | Chunk |
Bytes | 88.63 kB | 88.63 kB |
Shape | (11079,) | (11079,) |
Count | 2 Tasks | 1 Chunks |
Type | float64 | numpy.ndarray |
|
|
internal_timestamp
(time)
float64
dask.array<chunksize=(11079,), meta=np.ndarray>
- comment :
- Internal timestamp, UTC
- long_name :
- Internal Timestamp, UTC
- units :
- seconds since 1900-01-01
| Array | Chunk |
Bytes | 88.63 kB | 88.63 kB |
Shape | (11079,) | (11079,) |
Count | 2 Tasks | 1 Chunks |
Type | float64 | numpy.ndarray |
|
|
port_timestamp
(time)
float64
dask.array<chunksize=(11079,), meta=np.ndarray>
- comment :
- Port timestamp, UTC
- long_name :
- Port Timestamp, UTC
- units :
- seconds since 1900-01-01
| Array | Chunk |
Bytes | 88.63 kB | 88.63 kB |
Shape | (11079,) | (11079,) |
Count | 2 Tasks | 1 Chunks |
Type | float64 | numpy.ndarray |
|
|
record_length
(time)
float32
dask.array<chunksize=(11079,), meta=np.ndarray>
- comment :
- A 1 byte value indicating the length of the record. Records can be up to 255 bytes long
- coordinates :
- time lat lon
- long_name :
- Record Length
- precision :
- 0
- units :
- 1
| Array | Chunk |
Bytes | 44.32 kB | 44.32 kB |
Shape | (11079,) | (11079,) |
Count | 2 Tasks | 1 Chunks |
Type | float32 | numpy.ndarray |
|
|
record_time
(time)
float64
dask.array<chunksize=(11079,), meta=np.ndarray>
- comment :
- Time of control record in seconds since January 1, 1904.
- coordinates :
- time lat lon
- long_name :
- Record Time, UTC
- precision :
- 0
- units :
- seconds since 1904-01-01
| Array | Chunk |
Bytes | 88.63 kB | 88.63 kB |
Shape | (11079,) | (11079,) |
Count | 2 Tasks | 1 Chunks |
Type | float64 | numpy.ndarray |
|
|
record_type
(time)
float32
dask.array<chunksize=(11079,), meta=np.ndarray>
- comment :
- Record type
- coordinates :
- time lat lon
- long_name :
- Record Type
- precision :
- 0
- units :
- 1
| Array | Chunk |
Bytes | 44.32 kB | 44.32 kB |
Shape | (11079,) | (11079,) |
Count | 2 Tasks | 1 Chunks |
Type | float32 | numpy.ndarray |
|
|
unique_id
(time)
float32
dask.array<chunksize=(11079,), meta=np.ndarray>
- comment :
- A 1 byte hash of the SAMI name and calibration.
- coordinates :
- time lat lon
- long_name :
- Instrument Unique ID
- precision :
- 0
- units :
- 1
| Array | Chunk |
Bytes | 44.32 kB | 44.32 kB |
Shape | (11079,) | (11079,) |
Count | 2 Tasks | 1 Chunks |
Type | float32 | numpy.ndarray |
|
|