Citation:

PANGAEA.933157

Name: Diatom species and geochemical element concentration on sediments from San Juana Floodplain lake, Santander, Colombia
Published: 2021-06-29
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Climate change; diatoms; Flood plain; hydrological connectivity; Paleolimnology; Tropical Rivers

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Keyword(s):

Climate change; diatoms; Flood plain; hydrological connectivity; Paleolimnology; Tropical Rivers

Related to:

Lopera-Congote, Laura: Hydro-climatic variation drives the long-term ecological evolution of neotropical floodplain lakes: an example from the Magdalena River system, Colombia October 2020. Ecology and Evolution, https://doi.org/10.22541/au.160227947.79535649/v1

Coverage:

Latitude: 6.642222 * Longitude: -74.156667

Event(s):

San_Juana_floodplain_lake * Latitude: 6.642222 * Longitude: -74.156667 * Location: Santander, Colombia * Method/Device: Sediment corer (SEDCO)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Comment
1	Sample ID	Sample ID		Lopera-Congote, Laura	Sample number
2	AGE	Age	ka BP	Lopera-Congote, Laura	Geocode
3	Age	Age	a AD/CE	Lopera-Congote, Laura
4	Aulacoseira granulata	A. granulata	#	Lopera-Congote, Laura
5	Aulacoseira alpigena	A. alpigena	#	Lopera-Congote, Laura
6	Aulacoseira ambigua	A. ambigua	#	Lopera-Congote, Laura
7	Gomphoneis eriense	G. eriense	#	Lopera-Congote, Laura
8	Nitzschia	Nitzschia	#	Lopera-Congote, Laura
9	Craticula cuspidata	C. cuspidata	#	Lopera-Congote, Laura
10	Staurosirella pinnata	S. pinnata	#	Lopera-Congote, Laura
11	Diadesmis confervacea	D. confervacea	#	Lopera-Congote, Laura
12	Sellaphora alastos	S. alastos	#	Lopera-Congote, Laura
13	Sellaphora laevissima	S. laevissima	#	Lopera-Congote, Laura
14	Pinnularia	Piu	#	Lopera-Congote, Laura
15	Eunotia	Eunotia	#	Lopera-Congote, Laura
16	Stauroneis neohyalina	S. neohyalina	#	Lopera-Congote, Laura
17	Caloneis amphisbaena	C. amphisbaena	#	Lopera-Congote, Laura
18	Stauroneis supergracilis	S. supergracilis	#	Lopera-Congote, Laura
19	Encyonema minutum var. pseudogracilis	E. minutum var. pseudogr	#	Lopera-Congote, Laura
20	Gomphonema augur	G. augur	#	Lopera-Congote, Laura
21	Neidium sacoense	N. sacoense	#	Lopera-Congote, Laura
22	Capartogramma crucicula	C. crucicula	#	Lopera-Congote, Laura
23	Phosphorus	P	mg/kg	Lopera-Congote, Laura
24	Zirconium/Iron ratio	Zr/Fe	µmol/mol	Lopera-Congote, Laura
25	Titanium/Calcium ratio	Ti/Ca	µmol/mol	Lopera-Congote, Laura
26	Manganese/Iron ratio	Mn/Fe	µmol/mol	Lopera-Congote, Laura
27	Loss on ignition	LOI	%	Lopera-Congote, Laura
28	Sedimentation rate per year	SR	cm/a	Lopera-Congote, Laura
29	Standardised Precipitation-Evapotranspiration Index	SPEI		Lopera-Congote, Laura	Average
30	Standardised Precipitation-Evapotranspiration Index	SPEI		Lopera-Congote, Laura	Max
31	Standardised Precipitation-Evapotranspiration Index	SPEI		Lopera-Congote, Laura	Min

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Status:

Curation Level: Enhanced curation (CurationLevelC)

Size:

758 data points

Data

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

1 Sample ID (Sample number)	2 Age [ka BP]	3 Age [a AD/CE]	4 A. granulata [#]	5 A. alpigena [#]	6 A. ambigua [#]	7 G. eriense [#]	8 Nitzschia [#]	9 C. cuspidata [#]	10 S. pinnata [#]	11 D. confervacea [#]	12 S. alastos [#]	13 S. laevissima [#]	14 Piu [#]	15 Eunotia [#]	16 S. neohyalina [#]	17 C. amphisbaena [#]	18 S. supergracilis [#]	19 E. minutum var. pseudogr [#]	20 G. augur [#]	21 N. sacoense [#]	22 C. crucicula [#]	23 P [mg/kg]	24 Zr/Fe [µmol/mol]	25 Ti/Ca [µmol/mol]	26 Mn/Fe [µmol/mol]	27 LOI [%]	28 SR [cm/a]	29 SPEI (Average)	30 SPEI (Max)	31 SPEI (Min)
1	-0.0660	2016.0	220	0	0	8	5	4	2	37	0	1	135	14	14	0	9	5	0	0	0	0.2375	0.001886581	0.841518561	0.004017907	28.894269570		0.086167500	0.61731	-0.81392
2	-0.0620	2012.0	140	42	0	17	4	0	1	66	28	12	149	26	29	0	7	10	0	0	0	0.1014	0.001255887	0.826643397	0.005609628	24.336154070	0.429	0.205967500	1.02058	-0.99359
3	-0.0613	2011.3	93	52	0	5	3	5	0	57	24	9	150	34	37	3	4	6	0	0	0	0.1904	0.000935293	0.940327869	0.002498216	22.392974750		1.598244167	2.13976	0.93403
4	-0.0590	2009.0	95	40	0	9	3	0	0	202	33	0	140	65	25	0	6	17	0	0	0	0.1323	0.002706014	1.085222830	0.004680672	20.883661790	0.436	0.528920833	1.18083	-0.53052
5	-0.0557	2005.7	118	55	0	6	1	1	0	51	19	14	152	26	32	3	4	5	0	0	0	0.2302	0.002536982	1.087209302	0.004692462	21.472522810		0.171216667	0.87474	-0.61606
6	-0.0524	2002.4	97	19	0	14	0	2	0	60	18	8	150	49	35	0	8	11	1	0	0	0.2094	0.002537609	1.062747099	0.002783875	19.728765170		-0.390009167	0.11955	-0.91095
7	-0.0500	2000.0	55	39	0	10	4	7	0	67	28	14	163	40	38	2	1	9	2	0	0	0.1707	0.001320460	1.008976661	0.003811030	18.016094600	0.257	1.730785833	2.14944	1.43631
8	-0.0448	1994.8	82	38	0	5	3	1	0	68	35	10	155	39	20	0	2	8	1	0	0	0.1812	0.002413507	1.124410541	0.005145778	19.286892530		-0.229282500	0.07969	-0.86489
9	-0.0403	1990.3	96	40	0	13	8	4	2	54	49	15	157	17	32	0	0	6	4	0	0	0.1564	0.002509119	1.088355604	0.003903074	16.176975950	0.155	-0.593960833	-0.08564	-1.47029
10	-0.0354	1985.4	75	23	0	8	8	0	0	69	46	2	153	17	41	0	0	9	2	0	0	0.1560	0.002344258	1.130224190	0.002796862	16.251720260	0.239	-0.753590833	0.43805	-1.72442
11	-0.0299	1979.9	72	27	0	8	5	9	0	73	30	12	171	46	29	3	3	8	1	0	0	0.1726	0.002306357	1.129743453	0.005377695	15.450450450		0.636945833	0.94955	0.32163
12	-0.0220	1972.0	94	46	0	7	17	0	0	58	35	5	141	22	23	0	0	6	3	0	0	0.1488	0.002202054	1.247467223	0.004391941	16.323024050	0.168	0.493922500	1.01715	-0.16558
13	-0.0172	1967.2	60	30	0	13	8	5	0	45	17	12	179	68	15	1	0	7	4	0	0	0.1686	0.002730622	1.233401672	0.004430820	15.633232020	0.176	-0.150848333	0.69096	-1.30965
14	-0.0101	1960.1	87	63	0	11	2	7	7	67	16	7	140	82	7	3	1	16	1	0	0	0.1685	0.002309800	1.107623318	0.001472049	15.412979350		0.065938333	0.43775	-0.37922
15	-0.0010	1951.0	126	100	0	9	3	6	15	10	15	11	158	54	14	6	0	5	1	0	0	0.1500	0.002938934	1.287227316	0.001538781	17.555321390	0.125	-0.398883333	0.13318	-0.84718
16	0.0056	1944.4	87	46	0	8	0	0	0	70	22	13	147	79	9	0	0	9	0	0	0	0.1738	0.003062155	1.263981043	0.001353045	18.694781480	0.057
17	0.0142	1935.8	82	90	0	7	5	1	31	64	27	2	155	58	14	4	0	9	3	0	0	0.1774	0.002615225	1.286887836	0.003051095	16.804458890
18	0.0233	1926.7	239	170	0	0	1	0	86	29	13	4	140	22	8	0	0	2	0	0	0	0.1344	0.002660211	1.247478034	0.002111278	16.112138020	0.121
19	0.0328	1917.2	89	87	0	6	0	2	35	65	7	14	143	69	10	3	0	6	1	0	0	0.1481	0.002764529	1.313101161	0.004359450	13.604228160	0.048
20	0.0426	1907.4	126	150	0	6	0	1	38	24	12	11	152	25	7	1	0	5	3	0	0	0.1572	0.002787698	1.204730456	0.002916164	11.918696610
21	0.0917	1858.3	118	156	0	2	1	0	3	23	0	17	145	32	15	5	0	2	0	0	0	0.1326	0.002257065	1.522792845	0.002181829	11.172425500
22	0.1407	1809.3	141	120	6	0	5	0	2	13	1	7	149	31	16	13	0	0	0	34	0	0.1254	0.003092257	1.333712244	0.001305953	13.412903760
23	0.1702	1779.8	96	0	156	0	1	0	4	30	16	8	151	16	22	17	0	0	0	42	4	0.1558	0.002928170	1.375836562	0.001613482	11.289610730
24	0.2094	1740.6	37	12	281	0	1	0	4	14	7	1	175	6	28	11	0	0	0	0	4	0.1311	0.002960269	1.390448477	0.001154903	11.067877220
25	0.2487	1701.3	50	32	229	0	2	0	4	6	3	1	157	7	17	6	0	1	0	1	1	0.1536	0.003079738	1.355757470	0.001314365	14.478589420
26	0.2879	1662.1	57	50	296	1	0	0	10	10	11	3	154	7	16	19	0	0	0	0	5	0.1757	0.003075277	1.338906868	0.001243482	9.099509762
27	0.3272	1622.8	78	14	202	0	1	0	2	19	6	3	174	16	25	6	0	1	1	0	7	0.1399	0.002998158	1.371038347	0.001918313	8.888888889