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Alves de Moraes, Caio; Lima da Costa, Marcondes; Guida Navarro, Alexandre; Nunes da Silva Meneses, Maria Ecilene; Boiadeiro Ayres Negrão, Leonardo; Pöllmann, Herbert; Behling, Hermann (2021): LOI and mineralogical composition from Lago Formoso sediments in Maranhão State, northeastern Brazil [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.939907, In: Alves de Moraes, C et al. (2021): Holocene coastal environmental changes inferred by multi-proxy analysis from Lago Formoso sediments in Maranhão State, northeastern Brazil [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.938223

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Published: 2021 (exact date unknown)DOI registered: 2022-02-08

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Keyword(s):
climate dynamics; fire history; Holocene; human activity; mangrove; Multi-proxy; northeastern Brazil; Sea level oscillations; Vegetation dynamics
Related to:
Alves de Moraes, Caio; Lima da Costa, Marcondes; Guida Navarro, Alexandre; Nunes da Silva Meneses, Maria Ecilene; Boiadeiro Ayres Negrão, Leonardo; Pöllmann, Herbert; Behling, Hermann (2021): Holocene coastal environmental changes inferred by multi-proxy analysis from Lago Formoso sediments in Maranhão State, northeastern Brazil. Quaternary Science Reviews, 273, 107234, https://doi.org/10.1016/j.quascirev.2021.107234
Funding:
National Council for Scientific and Technological Development (CNPq), grant/award no. 290210/2017-8: CNPq scholarship: Edital DAAD/Doutorado Pleno (GDE)
National Council for Scientific and Technological Development (CNPq), grant/award no. 305015/2016-8: CNPq project 442871/2018-0
National Council for Scientific and Technological Development (CNPq), grant/award no. 308271/2018-1: CNPq project
Coverage:
Latitude: -3.253889 * Longitude: -45.386111
Minimum DEPTH, sediment/rock: 0.080 m * Maximum DEPTH, sediment/rock: 2.970 m
Event(s):
Lago_Formoso (LF) * Latitude: -3.253889 * Longitude: -45.386111 * Location: Brasil * Method/Device: Sediment corer (SEDCO)
Comment:
#999: phase was identified in the sample, but no quantification was possible.
Size:
136 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Sample label

Samp m [g]
(sampled)

RH tech [%]
(heating 40°C ~ days)

Samp m [g]
(avaiable samples, sample-humi...)

LOI [%]
(of dryed sample - 1000°C for 1 h)

Depth sed [m]
(average)

Qz [%]
(wt.%)

Mc [%]
(wt.%)

Ill [%]
(wt.%)
10 
Kln [%]
(wt.%)
11 
Py [%]
(wt.%)
12 
Vrm [%]
(wt.%)
13 
Fe3O4 [%]
(wt.%)
LF 6-102169.776.348326.330.0807011118
LF 20-262555.7811.055017.000.2306019157
LF 36-402857.6511.858015.430.3807112134
LF 66-702682.714.495426.170.680#999#999#999
LF 86-903746.9219.63966.920.8806321143
LF 110-1143736.6423.44325.761.1206813143
LF 128-1323586.994.553566.791.300#999#999
LF 142-1462483.783.892858.321.435#999#999
LF 164-1683665.6012.384028.071.660#999#999
LF 174-1783851.7718.327417.711.760#999#999
LF 206-2104441.1625.889611.742.0802141755#9993#999
LF 222-2264642.9026.266011.412.24027423433#999
LF 254-2583850.1918.927814.342.560144186111#999
LF 266-2704061.7215.312025.732.680#999#999#999
LF 295-2993446.1418.312413.042.970132275512#999