51 to 60 of 112 Results
May 3, 2023 -
Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 2.4 KB - 105 Variables, 5 Observations - UNF:6:8WdiyM1jPCMTuZdwSTB5Jg==
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May 3, 2023 -
Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 47.8 KB - 724 Variables, 30 Observations - UNF:6:J7OqeVyWGDSzK16MsJWdCg==
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May 3, 2023 -
Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 12.4 KB - 238 Variables, 20 Observations - UNF:6:7jhlAYCwiMtReOPgLmGjwQ==
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May 3, 2023 -
Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 381.6 KB - 1720 Variables, 148 Observations - UNF:6:PrsnZkP8yRLcZp/X5O9LEw==
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May 3, 2023 -
Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 152.9 KB - 707 Variables, 142 Observations - UNF:6:8m5dPz2Rvp/KiUOdlm85MQ==
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May 3, 2023 -
Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 747.1 KB - 1720 Variables, 290 Observations - UNF:6:zBSGZ47RkwoGoWOh3hb7lw==
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May 3, 2023 -
Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 257.9 KB - 708 Variables, 240 Observations - UNF:6:0XwxRWPj08myY9MmF2+Cig==
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May 3, 2023 -
Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 889.6 KB - 1720 Variables, 345 Observations - UNF:6:La4xZV5prebORjcCh/l2zA==
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May 3, 2023 -
Virtual water level stations in the Amazon floodplains measured by radar echoes classification
Tabular Data - 355.6 KB - 708 Variables, 331 Observations - UNF:6:4pKYmjG29SI49lsmIbVlqg==
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Feb 14, 2023
Bonnet, Marie-Paule; Garnier, Jérémie; Da Motta Marques, David; Seyler, Patrick; Dias-Roque, Derlayne Flávia; Nunes Kraus, Cleber, 2023, "Surface water quality (2013-2017) - Curuai floodplain, Brazil, Pará", https://doi.org/10.23708/SNGQHV, DataSuds, V1, UNF:6:ANjAoi1b+71R2DZt5Euwew== [fileUNF]
This dataset was acquired within the framework of several successive French-Brazilian projects with the objective of characterizing the spatio-temporal variations of water quality in the Curuai floodplain. It includes data that were acquired between March 2013 and September 2017... |