<xarray.Dataset> Size: 108MB
Dimensions: (cml_id: 126, sublink_id: 6, time: 2964)
Coordinates:
* cml_id (cml_id) <U19 10kB '3.984686N-9.789517E' ... '4.095631N-9.74...
* sublink_id (sublink_id) <U3 72B '0_0' '0_1' '1_0' '1_1' '2_0' '2_1'
* time (time) datetime64[ns] 24kB 2019-07-01T00:05:00 ... 2019-07-3...
frequency (cml_id, sublink_id) float64 6kB 1.505e+04 1.456e+04 ... nan
site_0_lat (cml_id) float64 1kB 3.993 3.993 3.997 ... 4.087 4.092 4.094
site_0_lon (cml_id) float64 1kB 9.787 9.787 9.764 ... 9.766 9.729 9.742
site_1_lat (cml_id) float64 1kB 3.977 3.979 3.997 ... 4.095 4.091 4.097
site_1_lon (cml_id) float64 1kB 9.792 9.816 9.759 ... 9.764 9.736 9.743
transmitter (cml_id, sublink_id) float64 6kB 0.0 1.0 nan ... nan nan nan
length (cml_id) float64 1kB 1.852e+03 3.573e+03 556.0 ... 736.0 419.0
Data variables:
rsl_avg (cml_id, sublink_id, time) float64 18MB -48.0 -48.0 ... nan nan
tsl_avg (cml_id, sublink_id, time) float64 18MB 10.0 10.0 ... nan nan
rsl_min (cml_id, sublink_id, time) float64 18MB -48.8 -48.3 ... nan nan
tsl_min (cml_id, sublink_id, time) float64 18MB 10.0 10.0 ... nan nan
rsl_max (cml_id, sublink_id, time) float64 18MB -47.6 -47.8 ... nan nan
tsl_max (cml_id, sublink_id, time) float64 18MB 10.0 10.0 ... nan nan
Attributes:
title: East side Douala CML links sample data
file author(s): Orange Cameroun and IRD Rainsmore Group
institution: Orange Cameroun and IRD Rainsmore Group
date: 2025-11-07
source: Modified Orange Cameroun CML data for example purp...
naming convention: COST ACTION OPENSENSE V2
license restrictions: CC BY-NC-ND 4.0array(['3.984686N-9.789517E', '3.985691N-9.801648E', '3.996996N-9.761328E',
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[nan, nan, nan, ..., nan, nan, nan]]], shape=(126, 6, 2964))array([[[-48.8, -48.3, -48.3, ..., -48.3, -48.3, -48.3],
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[nan, nan, nan, ..., nan, nan, nan],
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...
[[ 8., 8., 8., ..., 8., 8., 8.],
[ 8., 8., 8., ..., 8., 8., 8.],
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[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan]],
[[ 1., 1., 1., ..., 1., 1., 1.],
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[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan]]], shape=(126, 6, 2964))array([[[-47.6, -47.8, -47.9, ..., -48. , -47.9, -48. ],
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[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan]],
...
[-41.5, -41.5, -41.5, ..., -41.5, -41.5, -41.5],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan]],
[[-52.8, -52.8, -52.8, ..., -53.1, -53.1, -53.2],
[-52.7, -52.7, -52.7, ..., -52.9, -52.9, -53. ],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan]],
[[-45.8, -45.8, -45.8, ..., -46.2, -46.1, -46.1],
[-45.4, -45.4, -45.4, ..., -46. , -46. , -45.9],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan]]],
shape=(126, 6, 2964))array([[[10., 10., 10., ..., 10., 10., 10.],
[10., 10., 10., ..., 10., 10., 10.],
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[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan]],
[[19., 19., 19., ..., 19., 19., 19.],
[19., 19., 19., ..., 19., 19., 19.],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan]],
[[ 8., 8., 8., ..., 8., 8., 8.],
[ 8., 8., 8., ..., 8., 8., 8.],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan]],
...
[[ 8., 8., 8., ..., 8., 8., 8.],
[ 8., 8., 8., ..., 8., 8., 8.],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan]],
[[ 1., 1., 1., ..., 1., 1., 1.],
[ 1., 1., 1., ..., 1., 1., 1.],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan]],
[[ 1., 1., 1., ..., 1., 1., 1.],
[ 1., 1., 1., ..., 1., 1., 1.],
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[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ..., nan, nan, nan]]], shape=(126, 6, 2964))<xarray.Dataset> Size: 393kB
Dimensions: (gauge_name: 8, time: 2881)
Coordinates:
* gauge_name (gauge_name) <U25 800B 'Campus_2_Universite' ......
* time (time) datetime64[ns] 23kB 2019-07-01T00:05:00 ....
gauge_code (gauge_name) int64 64B 1059095008 ... 1059095001
gauge_lat (gauge_name) float64 64B 4.057 4.057 ... 4.047
gauge_lon (gauge_name) float64 64B 9.742 9.782 ... 9.746
gauge_installation_type (gauge_name) <U10 320B 'Dalle_sol' ... 'equerre'
Data variables:
tp (gauge_name, time) float64 184kB 0.0 0.0 ... 0.0
tprate (gauge_name, time) float64 184kB 0.0 0.0 ... 0.0
Attributes:
title: East side Douala Gauges sample data
file author(s): IUT de Douala and IRD Rainsmore Group
license restrictions: CC BY-NC-ND 4.0array(['Campus_2_Universite', 'Ecole_Saint_Andre_PK11', 'Eglise_Pie_X_PK14',
'Hopital_des_Soeurs_Logpom', 'Lycee_NYALLA', 'Meteo_IUT',
'Piscine_CITE_SIC', 'SOCATUR'], dtype='<U25')array(['2019-07-01T00:05:00.000000000', '2019-07-01T00:20:00.000000000',
'2019-07-01T00:35:00.000000000', ..., '2019-07-30T23:35:00.000000000',
'2019-07-30T23:50:00.000000000', '2019-07-31T00:05:00.000000000'],
shape=(2881,), dtype='datetime64[ns]')array([1059095008, 1059095004, 1059095007, 1059095005, 1059095002,
1059095006, 1059095003, 1059095001])array([4.05663859, 4.05686995, 4.079149 , 4.078547 , 4.031468 ,
4.056894 , 4.051833 , 4.047314 ])array([9.74233361, 9.7816409 , 9.794725 , 9.767835 , 9.769916 ,
9.745173 , 9.730603 , 9.745514 ])array(['Dalle_sol', 'equerre', 'equerre', 'Dalle_sol', 'Dalle_sol',
'Dalle_sol', 'Dalle_toit', 'equerre'], dtype='<U10')array([[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
...,
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.]], shape=(8, 2881))array([[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
...,
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.],
[0., 0., 0., ..., 0., 0., 0.]], shape=(8, 2881))