Citation:

PANGAEA.931003

Name: brGDGT distributions and environmental parameters of lake sediments from the Eastern Canadian Arctic and Iceland, 2003-2019
Published: 2021-05-03
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Biomarker; brGDGTs; Lake sediment; Organic Geochemistry; paleoclimate proxy; Temperature

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Abstract:

This dataset contains fractional abundances of the 15 commonly-measured branched glycerol dialkyl glycerol tetraether (brGDGT) lipids in 43 lake surface sediments. It also contains 5 air temperature variables (mean annual temperature (MAT); mean air temperature of months above freezing (MAF); warmest month temperature (WMT); mean summer temperature (MST); summer warmth index (SWI)), mean lake water conductivity, pH, and dissolved oxygen, and minimum dissolved oxygen. Finally, it contains basic lake parameters, including coordinates, maximum lake water depth, and approximate surface area.

Keyword(s):

Biomarker; brGDGTs; Lake sediment; Organic Geochemistry; paleoclimate proxy; Temperature

Related to:

Raberg, Jonathan H; Harning, David J; Crump, Sarah E; de Wet, Gregory A; Blumm, Aria; Kopf, Sebastian; Geirsdóttir, Áslaug; Miller, Gifford H; Sepúlveda, Julio (2021): Revised fractional abundances and warm-season temperatures substantially improve brGDGT calibrations in lake sediments. Biogeosciences, 18(12), 3579-3603, https://doi.org/10.5194/bg-18-3579-2021

Source:

Cao, Jiantao; Rao, Z; Shi, Fuxi; Jia, Guodong (2020): Ice formation on lake surfaces in winter causes warm-season bias of lacustrine brGDGT temperature estimates. Biogeosciences, 17(9), 2521-2536, https://doi.org/10.5194/bg-17-2521-2020

Dang, Xinyue; Ding, Weihua; Yang, Huan; Pancost, Richard D; Naafs, Bernhard David A; Xue, Jiantao; Lin, X; Lu, Jiayi; Xie, Shucheng (2018): Different temperature dependence of the bacterial brGDGT isomers in 35 Chinese lake sediments compared to that in soils. Organic Geochemistry, 119, 72-79, https://doi.org/10.1016/j.orggeochem.2018.02.008

Ning, Dongliang; Zhang, Enlou; Shulmeister, James; Chang, Jie; Sun, Weiwei; Ni, Zhenyu (2019): Holocene mean annual air temperature (MAAT) reconstruction based on branched glycerol dialkyl glycerol tetraethers from Lake Ximenglongtan, southwestern China. Organic Geochemistry, 133, 65-76, https://doi.org/10.1016/j.orggeochem.2019.05.003

Qian, Shi; Yang, Huan; Dong, Caohui; Wang, Yongbo; Wu, J; Pei, Hongye; Dang, Xinyue; Lu, Jiayi; Zhao, Shijin; Xie, Shucheng (2019): Rapid response of fossil tetraether lipids in lake sediments to seasonal environmental variables in a shallow lake in central China: Implications for the use of tetraether-based proxies. Organic Geochemistry, 128, 108-121, https://doi.org/10.1016/j.orggeochem.2018.12.007

Russell, James M; Hopmans, Ellen C; Loomis, Shannon E; Liang, Jie; Sinninghe Damsté, Jaap S (2018): Distributions of 5- and 6-methyl branched glycerol dialkyl glycerol tetraethers (brGDGTs) in East African lake sediment: Effects of temperature, pH, and new lacustrine paleotemperature calibrations. Organic Geochemistry, 117, 56-69, https://doi.org/10.1016/j.orggeochem.2017.12.003

Weber, Yuki; Sinninghe Damsté, Jaap S; Zopfi, Jakob; De Jonge, Cindy; Gilli, Adrian; Schubert, Carsten J; Lepori, Fabio; Lehmann, Moritz F; Niemann, Helge (2018): Redox-dependent niche differentiation provides evidence for multiple bacterial sources of glycerol tetraether lipids in lakes. Proceedings of the National Academy of Sciences, 115(43), 10926-10931, https://doi.org/10.1073/pnas.1805186115

Coverage:

Median Latitude: 32.414065 * Median Longitude: 28.204931 * South-bound Latitude: -4.872000 * West-bound Longitude: -77.976430 * North-bound Latitude: 72.595930 * East-bound Longitude: 126.600000

Minimum DEPTH, water: 0.30 m * Maximum DEPTH, water: 286.00 m

Event(s):

3_Lakes_North * Latitude: 58.100620 * Longitude: -68.464370 * Lake water depth: 21.5 m * Location: Canada

Africa_Lake * Latitude: 72.419470 * Longitude: -77.444690 * Lake water depth: 11 m * Location: Canada

Albert * Latitude: 1.683000 * Longitude: 30.917000 * Lake water depth: 58 m * Location: Africa

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Event label	Event		Raberg, Jonathan H
2	Location of event	Location		Raberg, Jonathan H
3	Reference/source	Reference		Raberg, Jonathan H
4	Latitude of event	Latitude		Raberg, Jonathan H
5	Longitude of event	Longitude		Raberg, Jonathan H
6	DEPTH, water	Depth water	m	Raberg, Jonathan H		Geocode – Max Depth
7	Lake surface area	Lake area	km²	Raberg, Jonathan H
8	Temperature, annual mean	MAT	°C	Raberg, Jonathan H	Calculated
9	Temperature, air, mean of months, above freezing	MAF	°C	Raberg, Jonathan H	Calculated
10	Temperature, warmest month	WMT	°C	Raberg, Jonathan H	Calculated
11	Temperature, summer mean	MST	°C	Raberg, Jonathan H	Calculated
12	Summer warmth index	SWI	°C	Raberg, Jonathan H	Calculated
13	Temperature, air, monthly standard deviation	T air month std dev	°C	Raberg, Jonathan H	Calculated	seasonality
14	Conductivity, electrical	Cond electr	µS/cm	Raberg, Jonathan H	HydroLab HL4 (OTT HydroMet)
15	pH	pH		Raberg, Jonathan H	HydroLab HL4 (OTT HydroMet)
16	Oxygen, dissolved	DO	mg/l	Raberg, Jonathan H	HydroLab HL4 (OTT HydroMet)	mean
17	Oxygen, dissolved	DO	mg/l	Raberg, Jonathan H	HydroLab HL4 (OTT HydroMet)	min
18	Glycerol dialkyl glycerol tetraethers, fractional abundance Ia	GDGT f(Ia)		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
19	Glycerol dialkyl glycerol tetraethers, fractional abundance Ib	GDGT f(Ib)		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
20	Glycerol dialkyl glycerol tetraethers, fractional abundance Ic	GDGT f(Ic)		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
21	Glycerol dialkyl glycerol tetraethers, fractional abundance IIa	GDGT f(IIa)		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
22	Glycerol dialkyl glycerol tetraethers, fractional abundance IIa'	GDGT f(IIa')		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
23	Glycerol dialkyl glycerol tetraethers, fractional abundance IIb	GDGT f(IIb)		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
24	Glycerol dialkyl glycerol tetraethers, fractional abundance IIb'	GDGT f(IIb')		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
25	Glycerol dialkyl glycerol tetraethers, fractional abundance IIc	GDGT f(IIc)		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
26	Glycerol dialkyl glycerol tetraethers, fractional abundance IIc'	GDGT f(IIc')		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
27	Glycerol dialkyl glycerol tetraethers, fractional abundance IIIa	GDGT f(IIIa)		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
28	Glycerol dialkyl glycerol tetraethers, fractional abundance IIIa'	GDGT f(IIIa')		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
29	Glycerol dialkyl glycerol tetraethers, fractional abundance IIIb	GDGT f(IIIb)		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
30	Glycerol dialkyl glycerol tetraethers, fractional abundance IIIb'	GDGT f(IIIb')		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
31	Glycerol dialkyl glycerol tetraethers, fractional abundance IIIc	GDGT f(IIIc)		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set
32	Glycerol dialkyl glycerol tetraethers, fractional abundance IIIc'	GDGT f(IIIc')		Raberg, Jonathan H	Thermo Scientific UltiMate 3000 high-performance liquid chromatography instrument coupled to a Q Exactive Focus Orbitrap-Quadrupole high-resolution mass spectrometer (HPLC-MS)	Full Set

License:

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

Status:

Curation Level: Enhanced curation (CurationLevelC)

Size:

4711 data points

Data

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

1 Event	2 Location	3 Reference	4 Latitude	5 Longitude	6 Depth water [m] (Max Depth)	7 Lake area [km²]	8 MAT [°C] (Calculated)	9 MAF [°C] (Calculated)	10 WMT [°C] (Calculated)	11 MST [°C] (Calculated)	12 SWI [°C] (Calculated)	13 T air month std dev [°C] (seasonality, Calculated)	14 Cond electr [µS/cm] (HydroLab HL4 (OTT HydroMet))	15 pH (HydroLab HL4 (OTT HydroMet))	16 DO [mg/l] (mean, HydroLab HL4 (OTT Hydro...)	17 DO [mg/l] (min, HydroLab HL4 (OTT HydroMet))	18 GDGT f(Ia) (Full Set, Thermo Scientific U...)	19 GDGT f(Ib) (Full Set, Thermo Scientific U...)	20 GDGT f(Ic) (Full Set, Thermo Scientific U...)	21 GDGT f(IIa) (Full Set, Thermo Scientific U...)	22 GDGT f(IIa') (Full Set, Thermo Scientific U...)	23 GDGT f(IIb) (Full Set, Thermo Scientific U...)	24 GDGT f(IIb') (Full Set, Thermo Scientific U...)	25 GDGT f(IIc) (Full Set, Thermo Scientific U...)	26 GDGT f(IIc') (Full Set, Thermo Scientific U...)	27 GDGT f(IIIa) (Full Set, Thermo Scientific U...)	28 GDGT f(IIIa') (Full Set, Thermo Scientific U...)	29 GDGT f(IIIb) (Full Set, Thermo Scientific U...)	30 GDGT f(IIIb') (Full Set, Thermo Scientific U...)	31 GDGT f(IIIc) (Full Set, Thermo Scientific U...)	32 GDGT f(IIIc') (Full Set, Thermo Scientific U...)
Qaupat	Canada	This study (Raberg et al., 2021)	63.6777	-68.1977	9.60	0.082	-8.944	6.534	9.759	7.781	26.135	13.381	14.024	6.741	10.648		0.146023585	0.010871127	0.001801432	0.273292016	0.065203896	0.009588042	0.004107470	0.002090116	0.000049924	0.412554876	0.067560221	0.001768948	0.004660709	0.000396492	0.000031145
Brother_of_Fog	Canada	This study (Raberg et al., 2021)	67.1930	-63.1382	15.80	0.161	-10.708	5.043	8.155	5.043	15.129	12.248	12.454	5.261	9.380	0.550	0.147388016	0.011249216	0.002380224	0.229668469	0.098913043	0.018446557	0.008553870	0.006821685	0.000061772	0.367600079	0.088090736	0.007917608	0.009175017	0.003420746	0.000312963
Clyde_Forelands_8	Canada	This study (Raberg et al., 2021)	70.5582	-68.9497	9.40	0.045	-12.192	3.903	5.979	3.903	11.710	12.951	9.609	5.381	11.092	5.810	0.151563597	0.006510626	0.000755257	0.276332496	0.081968521	0.012271870	0.007245272	0.001095665	0.000034228	0.402476703	0.051946964	0.001813468	0.005578367	0.000403511	0.000003455
Clyde_Forelands_3	Canada	This study (Raberg et al., 2021)	70.5327	-68.3685	7.00	0.065	-12.875	3.433	5.500	3.433	10.300	13.488	57.125	6.189	11.266		0.131381686	0.004344944	0.000675264	0.227510825	0.072831447	0.009456148	0.001048196	0.001514652	0.000000000	0.488969956	0.055946575	0.002388485	0.003018291	0.000913531	0.000000000
Spot_Lake	Canada	This study (Raberg et al., 2021)	70.5614	-68.9626	12.50	0.014	-12.243	3.852	5.928	3.852	11.557	12.951	11.904	5.526	11.029	0.680	0.086799926	0.003822036	0.000099819	0.198042676	0.034282670	0.012701507	0.000470856	0.001017221	0.000000000	0.624495902	0.029313083	0.003380954	0.005573350	0.000000000	0.000000000
Africa_Lake	Canada	This study (Raberg et al., 2021)	72.4195	-77.4447	11.00	0.194	-18.083	0.600	0.600	-0.933	0.600	13.540	2.013	5.992	10.922		0.068574742	0.003901821	0.000007840	0.183706941	0.063890364	0.003961761	0.000259133	0.000437730	0.000000000	0.621964042	0.051843547	0.001170435	0.000117359	0.000164286	0.000000000
Birch	Canada	This study (Raberg et al., 2021)	66.8002	-63.9708	12.80	0.170	-10.163	6.222	11.370	7.823	24.890	14.122	272.775	3.830	10.820	7.400	0.191127594	0.007863136	0.001140291	0.393894130	0.020632996	0.011003346	0.001448107	0.002234795	0.000000000	0.343381702	0.022078965	0.001609391	0.002948081	0.000637466	0.000000000
Arnuiq	Canada	This study (Raberg et al., 2021)	66.8413	-63.8274	6.90	0.053	-10.198	6.188	11.335	7.788	24.752	14.122	69.143	5.451	7.137	4.600	0.133802620	0.005011970	0.000620645	0.296747000	0.091159464	0.008417458	0.002383471	0.001360174	0.000013367	0.394907365	0.060693544	0.002191693	0.002347963	0.000305170	0.000038097
Ataata	Canada	This study (Raberg et al., 2021)	70.5634	-68.9716	9.50	0.057	-12.278	3.817	5.892	3.817	11.451	12.951	10.027	5.149	9.192	0.080	0.126591619	0.006552907	0.000201763	0.226503353	0.029636489	0.005489939	0.000706368	0.001096350	0.000000000	0.575990689	0.020454852	0.001676090	0.004856795	0.000242785	0.000000000
3_Lakes_North	Canada	This study (Raberg et al., 2021)	58.1006	-68.4644	21.50	0.442	-5.350	7.240	11.900	10.033	36.200	13.237	47.692	6.825	7.883	4.690	0.145086196	0.016137281	0.004496639	0.206974536	0.110746833	0.020811164	0.016198727	0.004296149	0.001012102	0.347774370	0.113043352	0.006612089	0.004542511	0.001349933	0.000918119
Loon_Lake	Canada	This study (Raberg et al., 2021)	72.5959	-77.9764	9.50	0.162	-14.192	5.467	7.800	5.467	16.400	15.420					0.154766752	0.012284663	0.002748592	0.246553373	0.092060006	0.020775613	0.005210313	0.003673487	0.000066246	0.376772496	0.074275202	0.004930011	0.004389485	0.001394643	0.000099118
Middle_Lake	Canada	This study (Raberg et al., 2021)	64.3086	-69.8608	4.42	1.069	-9.608	5.025	8.800	6.100	20.100	13.008					0.100033668	0.020310186	0.003913623	0.115773671	0.098179529	0.042644684	0.025457944	0.006171240	0.003124101	0.306269642	0.198503094	0.037067784	0.021500782	0.008882111	0.012167941
Ledge_Lake	Canada	This study (Raberg et al., 2021)	64.6957	-70.0988	8.74	0.432	-9.742	5.025	9.000	6.233	20.100	13.035					0.262526999	0.008042882	0.000775831	0.277345678	0.095513216	0.009130690	0.002052133	0.001343069	0.000004067	0.308562359	0.024071370	0.002822962	0.007366437	0.000436064	0.000006244
Burton_Lake	Canada	This study (Raberg et al., 2021)	63.6688	-68.1657	9.00	0.118	-9.024	6.454	9.680	7.701	25.818	13.893					0.144180592	0.014396872	0.003626505	0.227582517	0.090650914	0.017842498	0.005325041	0.004595365	0.000103586	0.406697216	0.075627031	0.004650774	0.003501411	0.001162824	0.000056853
Kekerturnak_Lake	Canada	This study (Raberg et al., 2021)	67.8572	-64.8753	15.00	0.098	-10.058	3.425	7.000	4.300	13.700	11.924		5.820			0.271504718	0.010873939	0.001104132	0.320782740	0.068483040	0.008890562	0.003647937	0.001456933	0.000020334	0.266443548	0.038190435	0.002336981	0.005651746	0.000561486	0.000051470
South_America_Lake	Canada	This study (Raberg et al., 2021)	66.4365	-64.7283	71.00	3.950	-10.277	5.164	7.886	6.285	20.656	13.447					0.128796897	0.004287020	0.000478443	0.271276513	0.056483502	0.006105448	0.001467188	0.001168348	0.000005529	0.483701876	0.041826262	0.003011670	0.000917850	0.000473454	0.000000000
Kivitoo_Highlands_Lake	Canada	This study (Raberg et al., 2021)	68.0003	-64.9891	3.50	0.060	-10.058	3.425	7.000	4.300	13.700	11.924	31.200	6.225	12.713		0.086364706	0.001943921	0.000183314	0.198174459	0.043474103	0.004304450	0.003929166	0.000292824	0.000005031	0.619955336	0.037095856	0.001543187	0.002616804	0.000063654	0.000053187
Svinavatn	Iceland	This study (Raberg et al., 2021)	64.9400	-22.2341	11.20	0.230	2.500	5.457	9.000	8.333	38.200	4.386	31.883	6.749	10.506		0.117023934	0.021598903	0.007184755	0.222056915	0.102387355	0.028104189	0.014017736	0.006244851	0.000739731	0.343880385	0.125436843	0.006081615	0.003794371	0.000928495	0.000519923
Systravatn	Iceland	This study (Raberg et al., 2021)	63.7903	-18.0664	13.00	0.260	4.800	4.800	10.500	9.933	57.600	3.826	71.604	7.365	10.433		0.126761257	0.041379593	0.010329520	0.241766110	0.107434371	0.028381513	0.014163381	0.005420192	0.000891497	0.312306478	0.101477968	0.004214382	0.004129527	0.000755615	0.000588595
Stora_Vidarvatn	Iceland	This study (Raberg et al., 2021)	66.2356	-15.8331	48.00	2.510	0.700	4.333	6.900	6.200	26.000	4.170	52.974	7.484	11.424	10.620	0.061445798	0.008071422	0.003174738	0.119381985	0.091378105	0.018648175	0.012266401	0.002756790	0.001150085	0.444860396	0.221019936	0.006719513	0.006951089	0.000638247	0.001537322
Heidarvatn_Lake	Iceland	This study (Raberg et al., 2021)	64.9016	-14.5975	15.10	0.160	1.500	4.783	7.100	6.400	28.700	3.812	27.148	6.923	8.404	0.000	0.130565857	0.016151008	0.004486152	0.203113585	0.079822309	0.017974801	0.008832704	0.003996717	0.000479619	0.436464777	0.089248445	0.004356600	0.003532369	0.000696429	0.000278628
Litla_Vidarvatn	Iceland	This study (Raberg et al., 2021)	66.2402	-15.8036	2.50	0.210	1.700	5.300	7.700	7.100	31.800	4.105	68.672	6.672	9.982	4.630	0.144595211	0.025639318	0.007794020	0.240795862	0.109168234	0.028000748	0.020994475	0.005374379	0.002402624	0.300205297	0.103561209	0.005143605	0.004710934	0.000734829	0.000879256
Torfavatn	Iceland	This study (Raberg et al., 2021)	64.8207	-23.1631	3.40	0.480	4.300	4.736	10.400	9.700	52.100	4.072	46.813	6.729	11.390		0.154206421	0.033194928	0.008054161	0.260454789	0.093633787	0.047128417	0.015504730	0.006634867	0.000559661	0.272618553	0.097150765	0.006633932	0.003284872	0.000635557	0.000304560
Hognavatn	Iceland	This study (Raberg et al., 2021)	65.7467	-22.1645	1.70	0.340	0.900	4.900	7.800	7.033	29.400	4.602	22.700	5.935	11.940		0.148613981	0.014912819	0.003455697	0.224430246	0.091666046	0.024125867	0.004614509	0.006043423	0.000076695	0.367213451	0.107478090	0.004172963	0.002540307	0.000647179	0.000008728
Berufjardarvtn	Iceland	This study (Raberg et al., 2021)	65.5514	-22.1087	2.90	0.170	2.800	5.843	9.500	8.733	40.900	4.489	68.082	6.643	11.552		0.115721703	0.023330553	0.005047360	0.239529514	0.115238587	0.036553048	0.013919067	0.004077082	0.000836660	0.326006011	0.109970913	0.005638182	0.003000903	0.000593688	0.000536729
Margaretarvatn	Iceland	This study (Raberg et al., 2021)	65.7766	-22.1850	2.00	0.450	0.900	4.900	7.800	7.067	29.400	4.617	26.900	5.770	11.970		0.145995988	0.011771757	0.002209319	0.226817382	0.093378653	0.022094728	0.004632305	0.004306821	0.000245123	0.372136950	0.106600529	0.004934796	0.004084820	0.000693870	0.000096959
Leirvogsvatn	Iceland	This study (Raberg et al., 2021)	64.1961	-21.4536	15.10	1.200	3.700	5.800	10.000	9.267	46.400	4.216	44.019	6.948	10.766		0.133368823	0.023095479	0.007370192	0.236735772	0.092732684	0.027965664	0.011814476	0.005235653	0.000485765	0.349749569	0.101969016	0.005854729	0.002570596	0.000664143	0.000387439
Skjaldarvatn	Iceland	This study (Raberg et al., 2021)	65.0465	-22.7915	1.10	0.110	3.900	6.125	10.200	9.600	49.000	4.287	109.425	6.888	9.913		0.122004384	0.025876799	0.005348191	0.220107562	0.122678552	0.056111358	0.018129311	0.005599730	0.000980383	0.272615863	0.136073820	0.008492075	0.004679642	0.000726607	0.000575723
Masvatn	Iceland	This study (Raberg et al., 2021)	65.6405	-17.2485	17.00	3.770	2.000	4.971	8.500	7.833	34.800	4.353	59.206	7.542	10.416		0.076449212	0.017630946	0.006679567	0.154845927	0.100192034	0.054774564	0.018744678	0.004724228	0.000778074	0.356791920	0.189692966	0.010741358	0.006305137	0.000676869	0.000972519
Midheidarvatn_West	Iceland	This study (Raberg et al., 2021)	65.5528	-21.7926	3.40	0.130	1.200	5.200	8.100	7.333	31.200	4.602	22.900	6.266	11.256		0.089130386	0.014649172	0.004197785	0.215659152	0.064563263	0.035250602	0.004104267	0.004924447	0.000172577	0.468111025	0.088926829	0.006196185	0.002963325	0.000926722	0.000224262
Sauravatn	Iceland	This study (Raberg et al., 2021)	65.0140	-22.7187	10.50	0.220	3.800	6.075	10.200	9.533	48.600	4.296	57.838	6.701	11.251		0.127790724	0.022350946	0.007877506	0.207013688	0.125964772	0.043383637	0.018324090	0.007536791	0.000570026	0.300987909	0.126501065	0.006871963	0.003447777	0.001136112	0.000242992
Midheidarvatn_East	Iceland	This study (Raberg et al., 2021)	65.5538	-21.7805	14.30	0.190	1.000	4.933	7.700	7.033	29.600	4.593	28.667	6.356	11.200		0.153895236	0.023729706	0.011378187	0.204147201	0.064992897	0.041696390	0.006586795	0.016258723	0.000358140	0.359150839	0.098807501	0.009580838	0.003026877	0.005951313	0.000439359
Vestra_Gisholtsvatn	Iceland	This study (Raberg et al., 2021)	63.9433	-20.5241	15.00	1.350	4.700	4.700	10.300	9.700	56.400	3.735	80.867	7.108	10.557		0.102068365	0.026161179	0.007476091	0.174739801	0.128748061	0.034987184	0.035367610	0.004967682	0.003121930	0.267626683	0.194845288	0.007009063	0.010124201	0.000625003	0.002131860
Baejarvotn	Iceland	This study (Raberg et al., 2021)	65.7207	-21.4332	23.00	0.650	2.400	5.514	9.100	8.433	38.600	4.554	77.792	7.400			0.086030464	0.018430290	0.011575624	0.238211377	0.012338055	0.041487716	0.001974963	0.015883092	0.000185581	0.513044639	0.040839934	0.009300423	0.005845897	0.004421080	0.000430866
Haukadalsvatn	Iceland	This study (Raberg et al., 2021)	65.0511	-21.6305	42.00	2.950	3.600	5.913	10.200	9.433	47.300	4.386	71.276	7.700			0.195215296	0.027251873	0.010913560	0.398282603	0.116983078	0.017563900	0.006245880	0.005525796	0.000527867	0.178428437	0.037798737	0.002922384	0.001270429	0.000844515	0.000225646
Torfdalsvatn	Iceland	This study (Raberg et al., 2021)	66.0605	-20.3829	5.80	0.410	2.200	5.343	9.000	8.300	37.400	4.633	119.300	6.964	9.642	2.800	0.145165800	0.015586935	0.003414608	0.310392018	0.150101881	0.027679291	0.006552005	0.003836173	0.000467031	0.242984087	0.085722859	0.005294685	0.002049729	0.000567689	0.000185209
Svartargilsvatn	Iceland	This study (Raberg et al., 2021)	65.9071	-21.8215		0.600	1.100	5.150	8.000	7.300	30.900	4.685					0.092585521	0.007991493	0.002350589	0.231647572	0.098804380	0.013584048	0.004168402	0.002096486	0.000628996	0.456882215	0.083114712	0.003126294	0.002165692	0.000487782	0.000365818
Hvalarvatn	Iceland	This study (Raberg et al., 2021)	66.0607	-21.8673	14.50	0.670	1.100	5.200	8.000	7.333	31.200	4.704					0.114384571	0.011215310	0.008043688	0.306298145	0.094782201	0.006981167	0.014184895	0.002619990	0.006407609	0.378315025	0.050129267	0.001092851	0.003472851	0.000276827	0.001795603
Trollkonuvatn	Iceland	This study (Raberg et al., 2021)	66.1445	-22.0621	16.40	1.300	1.000	5.033	7.800	7.133	30.200	4.667					0.074257501	0.002426456	0.000587718	0.229480724	0.076554245	0.003348745	0.003643944	0.000601077	0.000558289	0.524973218	0.077865124	0.002840890	0.001791305	0.000556998	0.000513766
Skufnavotn	Iceland	This study (Raberg et al., 2021)	65.8926	-22.1166		0.880	0.500	4.550	7.400	6.700	27.300	4.666					0.148887529	0.013418787	0.001798688	0.307343988	0.082202770	0.015937954	0.002572081	0.002500097	0.000785019	0.376830707	0.040420481	0.003158804	0.003220703	0.000853950	0.000068443
Gedduvatn	Iceland	This study (Raberg et al., 2021)	65.7159	-22.1912		0.790	0.700	4.700	7.600	6.833	28.200	4.605	26.600	5.580	12.040		0.132194818	0.010652364	0.002530707	0.295224589	0.114662971	0.016079870	0.004075990	0.004512687	0.001029052	0.344125458	0.065072475	0.003388054	0.005310983	0.001063625	0.000076358
Gripdeild	Iceland	This study (Raberg et al., 2021)	65.2070	-15.4454	8.00	1.700	0.400	3.850	6.400	5.667	23.100	3.981	52.200	7.420	11.470		0.093817593	0.024468982	0.005181229	0.239499541	0.128319478	0.025677729	0.011670922	0.002882770	0.000780074	0.334859082	0.121017593	0.006504913	0.004067294	0.000539702	0.000713098
Skorarvatn	Iceland	This study (Raberg et al., 2021)	66.2557	-22.3253	25.00	0.200	1.400	5.467	8.200	7.533	32.800	4.647	48.185	7.197	10.463		0.170299675	0.012531418	0.004034985	0.368220004	0.044243669	0.018131215	0.001298858	0.005294715	0.000054017	0.331743136	0.038256886	0.002726491	0.002013840	0.000949826	0.000201265
Albert	Africa	Russell et al. (2018)	1.6830	30.9170	58.00	5660.000	26.800	26.800	26.800	26.800	321.600	0.674	770.000	9.000		3.000	0.332237289	0.052025378	0.012755548	0.040516513	0.399715504	0.009584086	0.033620046	0.001743100	0.002189701	0.008834939	0.106777896	0.000000000	0.000000000	0.000000000	0.000000000
Alice_Lake	Africa	Russell et al. (2018)	-0.0760	37.4650	26.50	0.186	9.600	9.600	9.600	9.600	115.200	0.754	25.000	7.400	2.400	2.300	0.159609319	0.019889672	0.004952349	0.303788430	0.130240633	0.028218108	0.017901624	0.000000000	0.000000000	0.241113013	0.094286852	0.000000000	0.000000000	0.000000000	0.000000000
Bandasa	Africa	Russell et al. (2018)	-0.1570	37.4490	0.30	0.005	12.800	12.800	12.800	12.800	153.600	0.801	21.000	8.100	2.500	2.500	0.359434485	0.046086839	0.012280089	0.318068347	0.105169285	0.021983455	0.007320277	0.006718518	0.000000000	0.101115233	0.019713493	0.000971259	0.001138720	0.000000000	0.000000000
Batoda	Africa	Russell et al. (2018)	0.3000	29.8830	14.50	0.095	4.200	4.200	4.200	4.200	50.400	0.434	13.000	5.350	6.600	6.000	0.158847090	0.005206426	0.000517349	0.265034634	0.114830198	0.010324558	0.000858803	0.002739873	0.000000000	0.361293261	0.078467479	0.001880329	0.000000000	0.000000000	0.000000000
Bigata	Africa	Russell et al. (2018)	0.3070	29.8830	18.00	0.014	4.200	4.200	4.200	4.200	50.400	0.432	8.000	5.800	3.750	0.200	0.189421020	0.003552544	0.001170968	0.366618018	0.031120698	0.009195568	0.000509670	0.005152747	0.000000000	0.368275208	0.023290919	0.000870853	0.000000000	0.000821789	0.000000000
Bugwagi	Africa	Russell et al. (2018)	-0.2000	30.1830	85.00	0.602	24.000	24.000	24.000	24.000	288.000	0.384	439.000	8.000	3.150	0.300	0.349424708	0.155974728	0.021222229	0.134697366	0.137710140	0.072923248	0.045890891	0.008139780	0.003310121	0.030388507	0.034562703	0.002438379	0.002592027	0.000000000	0.000725173
Bukurungu_East	Africa	Russell et al. (2018)	0.4000	29.9000	17.30	0.030	5.400	5.400	5.400	5.400	64.800	0.417	13.000	4.050	3.600	0.200	0.224314315	0.004984085	0.002759515	0.391680445	0.023385036	0.014073591	0.000387695	0.008177650	0.000000000	0.317840047	0.012397620	0.000000000	0.000000000	0.000000000	0.000000000
Chibwera	Africa	Russell et al. (2018)	-0.1500	30.1500	11.70	0.764	24.600	24.600	24.600	24.600	295.200	0.381	472.000	8.400	3.900	0.100	0.418181303	0.129904947	0.028129083	0.112244679	0.135841735	0.056369065	0.052297976	0.007246492	0.002473874	0.027785740	0.029525105	0.000000000	0.000000000	0.000000000	0.000000000
Edward_Lake		Russell et al. (2018)	-0.2460	29.7500	29.00	2330.000	25.100	25.100	25.100	25.100	301.200	0.215	840.000	8.500	4.250	2.000	0.266726813	0.109971929	0.023533430	0.159574421	0.157631102	0.094179279	0.030372009	0.019933289	0.002489245	0.065730279	0.063970753	0.002488742	0.002317832	0.000383569	0.000697306
Eldoret_Nakuru_2	Africa	Russell et al. (2018)	0.3610	35.3510	1.50	0.001	15.600	15.600	15.600	15.600	187.200	0.876	171.000	6.900	3.400	3.400	0.474736821	0.046071496	0.007908338	0.158778401	0.165741616	0.015909772	0.016194799	0.000000000	0.000000000	0.069061399	0.045597356	0.000000000	0.000000000	0.000000000	0.000000000
Enchanted	Africa	Russell et al. (2018)	-0.1720	37.3360	33.30	0.049	6.300	6.300	6.300	6.300	75.600	0.794	32.000	7.100	6.050	5.900	0.112044877	0.027302320	0.009805858	0.239213377	0.064948476	0.079480947	0.004498315	0.009585923	0.009585923	0.361049760	0.076251080	0.006233144	0.000000000	0.000000000	0.000000000
Gallery_Tarn	Africa	Russell et al. (2018)	-0.1640	37.3250	10.40	0.017	5.100	5.100	5.100	5.100	61.200	0.806	13.000	7.000	6.300	6.300	0.147218379	0.030584407	0.003033325	0.259787689	0.155010909	0.029382642	0.025161697	0.011090184	0.000000000	0.264142198	0.074588570	0.000000000	0.000000000	0.000000000	0.000000000
Hanging_Tarn	Africa	Russell et al. (2018)	-0.1560	37.3330	7.50	0.007	5.200	5.200	5.200	5.200	62.400	0.793	19.000	7.950	2.700	2.900	0.156794430	0.026855138	0.007685922	0.278405259	0.058281650	0.072274966	0.002187024	0.013508636	0.000000000	0.348824847	0.029540574	0.005641553	0.000000000	0.000000000	0.000000000
Harris_Tarn	Africa	Russell et al. (2018)	-0.1510	37.3190	7.10	0.002	3.700	3.700	3.700	3.700	44.400	0.795	26.000	8.050	3.250	3.500	0.112615426	0.003220080	0.000364642	0.320562234	0.066432192	0.001826636	0.003746823	0.000000000	0.000000000	0.387062469	0.102057405	0.001435546	0.000676550	0.000000000	0.000000000
Hausburg_Tarn	Africa	Russell et al. (2018)	-0.1450	37.3010	10.70	0.017	5.600	5.600	5.600	5.600	67.200	0.838	24.000	7.700	6.850	7.000	0.145408016	0.031618246	0.019965085	0.327100574	0.030733088	0.089535482	0.003332895	0.009566316	0.000000000	0.300597194	0.042143102	0.000000000	0.000000000	0.000000000	0.000000000
Hut_Tarn	Africa	Russell et al. (2018)	-0.1570	37.2990	7.90	0.020	4.900	4.900	4.900	4.900	58.800	0.854	20.000	7.050	6.900	6.900	0.165504369	0.016974291	0.005325578	0.312436995	0.078397269	0.056400934	0.002248911	0.011725384	0.000000000	0.295847585	0.055138685	0.000000000	0.000000000	0.000000000	0.000000000
Ibamba	Africa	Russell et al. (2018)	-0.2000	30.2000	1.20	0.020	23.800	23.800	23.800	23.800	285.600	0.378	104.000	6.600	2.100	0.900	0.579710294	0.061841712	0.014736693	0.191420148	0.084177970	0.015468512	0.006390733	0.002528049	0.000000000	0.034339795	0.009386093	0.000000000	0.000000000	0.000000000	0.000000000
Irene	Africa	Russell et al. (2018)	0.3830	29.8830	3.50	0.000	1.600	1.600	1.600	1.600	19.200	0.420	7.000	5.750	6.000	4.400	0.072562804	0.002134966	0.000039096	0.155358691	0.064842329	0.004693490	0.000967331	0.000000000	0.000000000	0.588691518	0.110709776	0.000000000	0.000000000	0.000000000	0.000000000
Kacuba	Africa	Russell et al. (2018)	-0.3330	30.0170	14.50	0.506	23.500	23.500	23.500	23.500	282.000	0.310	183.000	8.100			0.378457380	0.103915398	0.029439051	0.128825437	0.166990158	0.056783320	0.038020005	0.008799235	0.000000000	0.036676067	0.052093949	0.000000000	0.000000000	0.000000000	0.000000000
Kako	Africa	Russell et al. (2018)	-0.3000	30.1000	29.00	0.171	21.200	21.200	21.200	21.200	254.400	0.326	89.000	7.450	2.850	0.000	0.410308329	0.103424848	0.017562649	0.117448806	0.192099128	0.035438811	0.049327670	0.004000628	0.000000000	0.028129480	0.042259651	0.000000000	0.000000000	0.000000000	0.000000000
Kamweru	Africa	Russell et al. (2018)	-0.2500	30.1170	44.00	0.203	22.500	22.500	22.500	22.500	270.000	0.355	158.000	7.650	3.450	0.000	0.444803274	0.074660125	0.007600808	0.152314130	0.185489806	0.022341420	0.029420710	0.000000000	0.000000000	0.028859184	0.054510543	0.000000000	0.000000000	0.000000000	0.000000000
Kanyabutetere	Africa	Russell et al. (2018)	0.4170	30.2830	5.00	0.280	22.800	22.800	22.800	22.800	273.600	0.378	401.000	8.200	2.300	0.400	0.382216343	0.104654403	0.022112798	0.147930248	0.177310118	0.028205664	0.048639407	0.002268885	0.001791196	0.034349232	0.047459308	0.000000000	0.003062396	0.000000000	0.000000000
Kanyanchu	Africa	Russell et al. (2018)	0.4330	30.3170	4.80	0.007	22.500	22.500	22.500	22.500	270.000	0.386	635.000	8.050	3.500	0.400	0.337312605	0.085479618	0.017790049	0.098115591	0.227549424	0.041802965	0.061771860	0.004030891	0.002279683	0.030554842	0.085846058	0.002283721	0.005182693	0.000000000	0.000000000
Kasirya	Africa	Russell et al. (2018)	-0.2500	30.1330	43.00	0.087	22.300	22.300	22.300	22.300	267.600	0.355	302.000	7.650	2.450	0.000	0.401411915	0.106302523	0.015315335	0.120006205	0.189241806	0.036772191	0.045250166	0.003181143	0.003113818	0.023802900	0.052242335	0.000000000	0.003359662	0.000000000	0.000000000
Katanda	Africa	Russell et al. (2018)	0.4830	30.2670	146.00	0.367	21.600	21.600	21.600	21.600	259.200	0.406	426.000	7.750	3.650	0.000	0.288527220	0.128718592	0.021854722	0.084266103	0.206581599	0.051652383	0.105430238	0.005340796	0.011411011	0.022800446	0.064325498	0.002124209	0.005421780	0.000000000	0.001545400
Katunda	Africa	Russell et al. (2018)	0.2800	29.8950	10.50	0.038	5.500	5.500	5.500	5.500	66.000	0.448	14.000	5.250	6.400	6.400	0.179897606	0.010459177	0.002255105	0.307448299	0.042788968	0.017562580	0.000807788	0.004599610	0.000000000	0.356783582	0.075340530	0.002056756	0.000000000	0.000000000	0.000000000
Kifuruka	Africa	Russell et al. (2018)	0.4830	30.2830	4.20	0.130	21.100	21.100	21.100	21.100	253.200	0.387	359.000	7.600	3.100	1.100	0.319046355	0.080618015	0.010530179	0.123041362	0.216174517	0.036718367	0.069891710	0.000000000	0.002825848	0.041618299	0.094297079	0.000000000	0.005238268	0.000000000	0.000000000
Kisibendi	Africa	Russell et al. (2018)	0.3830	30.3000	4.50	0.048	23.300	23.300	23.300	23.300	279.600	0.365	277.000	7.750	2.850	0.000	0.414470543	0.048792609	0.005047610	0.102388023	0.297371988	0.011284255	0.030756921	0.000000000	0.000000000	0.034009598	0.055878456	0.000000000	0.000000000	0.000000000	0.000000000
Kitere	Africa	Russell et al. (2018)	0.4000	30.2500	51.00	0.098	23.100	23.100	23.100	23.100	277.200	0.396	711.000	8.050	2.000	0.000	0.353738263	0.108001041	0.008717330	0.066726959	0.252850205	0.031514152	0.091898954	0.002245294	0.002462862	0.018172288	0.059968917	0.000000000	0.003703736	0.000000000	0.000000000
Kopello	Africa	Russell et al. (2018)	0.3100	29.8920	14.10	0.030	4.000	4.000	4.000	4.000	48.000	0.436	9.000	5.200	5.700	3.100	0.161051227	0.002685249	0.000863121	0.346955531	0.035952487	0.007036786	0.000686613	0.004079292	0.000000000	0.414857939	0.023652003	0.000770685	0.000000000	0.000761556	0.000647511
Kyasunduka	Africa	Russell et al. (2018)	-0.2830	30.0420	2.00	0.503	24.300	24.300	24.300	24.300	291.600	0.336	260.000	8.800	2.450	0.800	0.388327667	0.134119527	0.010569649	0.063338922	0.203333820	0.045435617	0.077791157	0.002859121	0.000000000	0.018035883	0.052646129	0.000000000	0.003542507	0.000000000	0.000000000
Kyerbwato	Africa	Russell et al. (2018)	0.4330	30.3170	14.10	0.014	22.500	22.500	22.500	22.500	270.000	0.386	464.000	8.250	3.800	1.300	0.392929339	0.116951712	0.021809681	0.092246434	0.189445097	0.052498698	0.045880721	0.008182795	0.002240582	0.022648894	0.050170719	0.002009227	0.002986102	0.000000000	0.000000000
Kyogo	Africa	Russell et al. (2018)	-0.3330	30.0170	3.40	0.018	23.500	23.500	23.500	23.500	282.000	0.310	56.000	6.850	3.200	3.100	0.532591737	0.092507450	0.010943864	0.137923528	0.130345628	0.018310938	0.036890097	0.003008993	0.001321287	0.018642023	0.015719455	0.000511633	0.001283366	0.000000000	0.000000000
Ellis	Africa	Russell et al. (2018)	-0.1240	37.4010	15.50	0.108	10.100	10.100	10.100	10.100	121.200	0.773	41.000	7.350	5.150	4.200	0.222765228	0.083663442	0.022776445	0.234655930	0.073838653	0.123007440	0.031951497	0.016325598	0.002942365	0.144726774	0.034206505	0.006447550	0.002692571	0.000000000	0.000000000
Large_Hall_Tarn	Africa	Russell et al. (2018)	-0.1430	37.3460	8.20	0.009	6.000	6.000	6.000	6.000	72.000	0.764	10.000	7.050	6.450	6.700	0.230361126	0.024933079	0.007462691	0.294277975	0.113870328	0.030066506	0.002022514	0.008214329	0.000000000	0.233091009	0.055700443	0.000000000	0.000000000	0.000000000	0.000000000
Lewis_Tarn	Africa	Russell et al. (2018)	-0.1620	37.3110	16.30	0.016	4.500	4.500	4.500	4.500	54.000	0.817	23.000	6.350	6.150	5.200	0.159507627	0.026645241	0.003371976	0.299879710	0.053834964	0.033860348	0.001776483	0.004801417	0.000000000	0.336821344	0.074687809	0.002311458	0.002501622	0.000000000	0.000000000
Lower_Simba	Africa	Russell et al. (2018)	-0.1450	37.3190	3.00	0.001	5.400	5.400	5.400	5.400	64.800	0.820	33.000	7.650	7.600	7.600	0.152658804	0.019074943	0.004259214	0.324513776	0.041468084	0.105442088	0.004307821	0.000000000	0.000000000	0.272618471	0.075656798	0.000000000	0.000000000	0.000000000	0.000000000
MAHOMA	Africa	Russell et al. (2018)	0.3442	29.9672	13.20	0.048	10.000	10.000	10.000	10.000	120.000	0.434	13.000	5.750	3.250	0.300	0.338362567	0.008292007	0.003656584	0.372038256	0.032804086	0.008271091	0.000785371	0.003228656	0.000000000	0.223446140	0.009115241	0.000000000	0.000000000	0.000000000	0.000000000
Mahuhura	Africa	Russell et al. (2018)	0.4330	30.2670	70.00	0.186	20.500	20.500	20.500	20.500	246.000	0.392	603.000	8.500	1.800	0.000	0.153594239	0.090174069	0.006082511	0.274220651	0.117103682	0.066243849	0.001966069	0.002233338	0.000000000	0.186187632	0.099109554	0.003084407	0.000000000	0.000000000	0.000000000
Mbajo	Africa	Russell et al. (2018)	0.4500	30.2670	35.00	0.080	22.500	22.500	22.500	22.500	270.000	0.390	504.000	7.750	1.800	0.000	0.303162573	0.117533322	0.022587224	0.090357680	0.208330761	0.044978901	0.098664505	0.004577776	0.008576872	0.022504294	0.069248991	0.001709420	0.006200147	0.000000000	0.001567533
Mbugo	Africa	Russell et al. (2018)	-0.1670	30.1500	2.60		24.500	24.500	24.500	24.500	294.000	0.389	214.000	9.550	3.350	1.500	0.365590699	0.085656225	0.008783696	0.172661335	0.166513177	0.029089588	0.058919740	0.000000000	0.000000000	0.054675881	0.058109659	0.000000000	0.000000000	0.000000000	0.000000000
Middle_Kachope	Africa	Russell et al. (2018)	0.3330	29.8670	3.30	0.010	5.100	5.100	5.100	5.100	61.200	0.425	25.000	6.750	7.100	6.600	0.129300554	0.014521561	0.002803044	0.240797296	0.050354847	0.017872479	0.002658074	0.003192998	0.000000000	0.439734582	0.097123604	0.001640963	0.000000000	0.000000000	0.000000000
Mirambi	Africa	Russell et al. (2018)	-0.2170	30.1000	21.30	0.530	23.700	23.700	23.700	23.700	284.400	0.375	626.000	8.650	4.450	0.000	0.384324441	0.147671232	0.012397129	0.131992234	0.151035845	0.058789620	0.041607215	0.000000000	0.000000000	0.038741936	0.033440348	0.000000000	0.000000000	0.000000000	0.000000000
Murabio	Africa	Russell et al. (2018)	-0.3500	30.0330	15.00	0.160	23.600	23.600	23.600	23.600	283.200	0.315	718.000	7.600	2.000	0.000	0.442127213	0.105872849	0.022436076	0.071175842	0.195079563	0.029629209	0.057659322	0.004244311	0.001947215	0.019338461	0.046458377	0.001052492	0.002979070	0.000000000	0.000000000
Murusi	Africa	Russell et al. (2018)	0.4330	30.2830	60.00	0.214	22.500	22.500	22.500	22.500	270.000	0.378	374.000	7.550	3.550	0.100	0.405697064	0.120555873	0.017376974	0.131620479	0.161999200	0.050912136	0.039639729	0.004438845	0.002268527	0.029100842	0.033137906	0.001434393	0.001818031	0.000000000	0.000000000
Mwengenyi	Africa	Russell et al. (2018)	0.4830	30.2670	140.00	0.294	21.200	21.200	21.200	21.200	254.400	0.406	356.000	7.750	3.150	0.000	0.302455970	0.111293296	0.028094394	0.132060701	0.191703216	0.057462667	0.053450490	0.008963184	0.004276498	0.038907363	0.064213838	0.003061343	0.003361540	0.000000000	0.000695500
Nanyuki_Tarn	Africa	Russell et al. (2018)	-0.1550	37.2970	5.30	0.008	5.000	5.000	5.000	5.000	60.000	0.854	14.000	6.700	6.600	6.700	0.136242584	0.052586148	0.028326531	0.277040001	0.041036094	0.123737967	0.008519627	0.026372009	0.000000000	0.239169803	0.056447666	0.010521569	0.000000000	0.000000000	0.000000000
Njarayabana	Africa	Russell et al. (2018)	0.4330	30.2500	37.00	0.122	22.900	22.900	22.900	22.900	274.800	0.395	861.000	8.300	3.100	0.100	0.303519597	0.100274722	0.010289031	0.114095802	0.256769803	0.039229580	0.060734892	0.001588093	0.002919170	0.036784457	0.068515967	0.001817947	0.003460939	0.000000000	0.000000000
Nkugute	Africa	Russell et al. (2018)	-0.3170	30.1000	58.00	0.890	21.100	21.100	21.100	21.100	253.200	0.322	103.000	7.250	3.700	0.000	0.415300456	0.086162867	0.009901942	0.145723783	0.182734596	0.024517025	0.043152745	0.000000000	0.000000000	0.042442192	0.050064394	0.000000000	0.000000000	0.000000000	0.000000000
Nkuruba	Africa	Russell et al. (2018)	0.5170	30.3000	34.00	0.013	20.500	20.500	20.500	20.500	246.000	0.406	352.000	7.500	3.000	0.200	0.345701910	0.087488700	0.015881448	0.106739410	0.227794359	0.037506829	0.056801989	0.002784050	0.004496128	0.028257046	0.079442443	0.001970590	0.004125464	0.000000000	0.001009635
Nyamswiga	Africa	Russell et al. (2018)	0.5170	30.2830	39.50	0.029	20.700	20.700	20.700	20.700	248.400	0.388	320.000	7.800	1.900	0.000	0.330206571	0.097872308	0.017876950	0.130979526	0.211391779	0.043234884	0.050721657	0.000000000	0.000000000	0.039403023	0.078313303	0.000000000	0.000000000	0.000000000	0.000000000
Nyamugosani	Africa	Russell et al. (2018)	0.4170	30.2330	36.70	0.114	22.500	22.500	22.500	22.500	270.000	0.387	981.000	8.650	3.250	0.200	0.304960254	0.113608217	0.017219268	0.112042683	0.217929417	0.045950352	0.072475349	0.002631134	0.003848566	0.033950671	0.067791046	0.003183358	0.004409686	0.000000000	0.000000000
Nyamusingere	Africa	Russell et al. (2018)	-0.2830	30.0330	4.50	3.840	24.500	24.500	24.500	24.500	294.000	0.355	749.000	9.150	4.550	1.900	0.346530420	0.135792035	0.012443095	0.054792623	0.225791937	0.027162903	0.109933148	0.004307856	0.003639656	0.014630263	0.059458001	0.000000000	0.005518063	0.000000000	0.000000000
Nyantonde	Africa	Russell et al. (2018)	0.4830	30.2830	180.00	0.125	21.200	21.200	21.200	21.200	254.400	0.387	438.000	7.850	3.450	0.000	0.326597513	0.094894265	0.012237998	0.102197369	0.241829801	0.042728482	0.070551415	0.002952119	0.004773223	0.025473284	0.069037640	0.001993522	0.003761404	0.000000000	0.000971965
Oblong_Tarn	Africa	Russell et al. (2018)	-0.1440	37.3010	3.40	0.011	5.600	5.600	5.600	5.600	67.200	0.838	25.000	6.750	6.350	6.600	0.146148883	0.020839925	0.008702482	0.336501378	0.029946009	0.063377354	0.004134282	0.000000000	0.000000000	0.339089856	0.051259832	0.000000000	0.000000000	0.000000000	0.000000000
Ruhandika	Africa	Russell et al. (2018)	0.3830	29.8830	3.00	0.000	2.400	2.400	2.400	2.400	28.800	0.420	5.000	6.050	6.000	4.400	0.119395285	0.003851198	0.000375533	0.214133880	0.086332498	0.003791887	0.003501074	0.000000000	0.000000000	0.480635707	0.087982937	0.000000000	0.000000000	0.000000000	0.000000000
Rutundu	Africa	Russell et al. (2018)	-0.0420	37.4640	10.80	0.080	12.000	12.000	12.000	12.000	144.000	0.741	34.000	7.600	2.350	2.300	0.258275536	0.092889323	0.038861705	0.252643966	0.057799123	0.109263162	0.008574608	0.026814246	0.000000000	0.137857574	0.017020757	0.000000000	0.000000000	0.000000000	0.000000000
Small_Hall_Tarn	Africa	Russell et al. (2018)	-0.1440	37.3450	2.80	0.004	6.000	6.000	6.000	6.000	72.000	0.764	11.000	7.300	7.000	7.000	0.193170046	0.015534115	0.004261525	0.261620996	0.117606223	0.020947435	0.005989972	0.004453402	0.000000000	0.305967100	0.067432225	0.001363224	0.001653737	0.000000000	0.000000000
Square_Tarn	Africa	Russell et al. (2018)	-0.1540	37.3230	3.00	0.000	4.100	4.100	4.100	4.100	49.200	0.795	18.000	5.600	6.950	5.900	0.169358599	0.003287475	0.001069721	0.284166475	0.150019147	0.003984122	0.003007309	0.000000000	0.000000000	0.228355334	0.156751818	0.000000000	0.000000000	0.000000000	0.000000000
Tanganyika	Africa	Russell et al. (2018)	-4.8720	29.6170	110.00	32600.000	23.800	23.800	23.800	23.800	285.600	0.540	680.000	8.950	4.750	2.300	0.318785339	0.086413719	0.035062853	0.048531144	0.275330945	0.029503020	0.053154731	0.007697925	0.011831440	0.020187861	0.107654175	0.002013420	0.002471740	0.000000000	0.001361687
Teleki_Tarn	Africa	Russell et al. (2018)	-0.1690	37.3060	7.90	0.042	6.000	6.000	6.000	6.000	72.000	0.818	18.000	6.700	7.550	7.400	0.169544457	0.061387866	0.016391726	0.223785887	0.049631184	0.208528911	0.006492763	0.022346297	0.000000000	0.171909660	0.069981249	0.000000000	0.000000000	0.000000000	0.000000000
Thompson	Africa	Russell et al. (2018)	-0.1680	37.3200	4.80	0.006	5.800	5.800	5.800	5.800	69.600	0.815	36.000	7.200	6.700	6.900	0.131620537	0.020201596	0.006490724	0.231319257	0.068716008	0.054540770	0.004338727	0.000000000	0.000000000	0.377398407	0.105373973	0.000000000	0.000000000	0.000000000	0.000000000
Veggie_Tarn	Africa	Russell et al. (2018)	-0.1440	37.3440	1.50	0.004	6.000	6.000	6.000	6.000	72.000	0.764	13.000	7.250	7.000	7.000	0.115862882	0.013612368	0.003442939	0.229111197	0.099512075	0.021199919	0.002925228	0.002503570	0.000000000	0.442787564	0.067222650	0.001819608	0.000000000	0.000000000	0.000000000
Wandakara	Africa	Russell et al. (2018)	0.4170	30.2670	12.00	0.031	23.100	23.100	23.100	23.100	277.200	0.405	1225.000	8.350	2.750	0.000	0.359207996	0.088298588	0.009083151	0.075310751	0.252013183	0.029181691	0.080414111	0.000000000	0.004052060	0.020983258	0.076604255	0.000000000	0.004850956	0.000000000	0.000000000
Wankenzi	Africa	Russell et al. (2018)	0.4250	30.2670	90.00	0.165	23.100	23.100	23.100	23.100	277.200	0.405	394.000	7.650	4.200	0.200	0.361182266	0.089364508	0.009109237	0.073490865	0.252435748	0.028641154	0.081326915	0.001712577	0.003603692	0.020186977	0.071752420	0.001812217	0.004687472	0.000000000	0.000693953
Lago_Alzasca	Central Europe	Weber et al. (2018)	46.2660	8.5853	40.00	0.104	2.589	6.750	10.734	10.050	47.249	6.018					0.134932523	0.013167303	0.002984563	0.261585311	0.108019904	0.015287650	0.034318705	0.002873829	0.000305522	0.299806954	0.107683191	0.003835376	0.013686240	0.000727418	0.000785512
Baldeggersee	Central Europe	Weber et al. (2018)	47.2053	8.2565	66.00	5.200	9.470	9.441	18.681	17.801	113.293	6.758	387.598	7.885	8.037	5.175	0.106711976	0.060019265	0.011414684	0.149168864	0.124377546	0.099254371	0.047619240	0.004782668	0.004323111	0.262978037	0.105503248	0.012538296	0.008407521	0.001156052	0.001745120
Lago_Cadagno	Central Europe	Weber et al. (2018)	46.5497	8.7120	21.00	0.260	2.248	7.434	10.363	9.666	44.606	5.981	282.975	7.569	4.511	0.100	0.098784029	0.038691740	0.009642090	0.093603457	0.147942033	0.060015481	0.059595430	0.005682008	0.004636881	0.153656705	0.293745387	0.011298150	0.017506420	0.002137789	0.003062400
Lago_Cama	Central Europe	Weber et al. (2018)	46.2549	9.2271	16.00	0.131	5.508	7.986	14.158	13.339	71.876	6.332					0.253767074	0.029815295	0.005224317	0.323147658	0.053664462	0.022917411	0.006196369	0.004332217	0.000314362	0.256599648	0.039399858	0.002328224	0.001033227	0.000864162	0.000395717
Canovasee	Central Europe	Weber et al. (2018)	46.7463	9.4507	10.00	0.020	7.924	8.672	16.915	16.060	95.397	6.592					0.143398524	0.073164703	0.010657274	0.153990144	0.175276594	0.099191362	0.067489291	0.005755849	0.003260424	0.119648514	0.116300037	0.015971296	0.014180273	0.000688557	0.001027157
Lago_Dosso	Central Europe	Weber et al. (2018)	46.4494	9.2049	6.00	0.022	3.582	7.836	11.815	11.169	54.852	6.125					0.219564066	0.052011411	0.013985203	0.251851431	0.082429651	0.064061354	0.024335484	0.005976615	0.001267061	0.187803416	0.081180351	0.008742923	0.005451419	0.000821746	0.000517869
Lago_Endine	Central Europe	Weber et al. (2018)	45.7794	9.9398	9.40	2.100	10.107	10.079	19.408	18.519	120.951	6.826					0.166348242	0.092797012	0.024607730	0.159015154	0.156546863	0.110626636	0.051982344	0.013942110	0.002294782	0.095485482	0.102866428	0.010642405	0.009636916	0.002234131	0.000973764
Engstlensee	Central Europe	Weber et al. (2018)	46.7735	8.3567	45.00	0.440	2.614	6.777	10.761	10.078	47.439	6.021	161.833	8.232	8.367	7.800	0.103638378	0.035733789	0.007849545	0.100631349	0.109104817	0.045460717	0.053442681	0.004903608	0.005674329	0.255338164	0.227561085	0.017038346	0.020159536	0.004097972	0.009365683
Faelensee	Central Europe	Weber et al. (2018)	47.2511	9.4169	24.00	0.120	4.575	7.882	12.895	12.287	63.057	6.231					0.070345919	0.018130424	0.002975651	0.176713321	0.079645417	0.045385469	0.032825503	0.002382210	0.001411480	0.388549356	0.153698516	0.015560382	0.009913180	0.001120237	0.001342935
Garlate_Lake	Central Europe	Weber et al. (2018)	45.8188	9.4111	34.00	4.640	10.784	10.757	20.181	19.282	129.084	6.899					0.113227706	0.054708328	0.010845635	0.162348433	0.182636846	0.086482253	0.074305680	0.006964576	0.006018377	0.137781977	0.134614194	0.012431394	0.014867965	0.001128155	0.001638482
Gerzensee	Central Europe	Weber et al. (2018)	46.8304	7.5471	10.00	0.270	8.788	8.758	17.902	17.034	105.100	6.684	481.757	7.754	6.950	2.272	0.152688529	0.053887151	0.015538842	0.192558913	0.194236224	0.076431879	0.037649273	0.007181691	0.001731434	0.127372786	0.121606225	0.009756100	0.007597419	0.001101624	0.000661911
Greifensee_	Central Europe	Weber et al. (2018)	47.3525	8.6774	32.00	8.600	9.529	9.500	18.748	17.868	114.005	6.764	485.210	7.900	6.538	2.518	0.117922509	0.050288443	0.012198319	0.129030736	0.163159078	0.065991354	0.066770374	0.004988020	0.003799618	0.165532169	0.192993587	0.008101836	0.016760614	0.001049546	0.001413797
Lago-Ghirla	Central Europe	Weber et al. (2018)	45.9161	8.8224	14.00	0.280	9.573	9.545	18.799	17.918	114.539	6.769					0.188687501	0.054673724	0.013442120	0.212801676	0.130934706	0.056064397	0.049976979	0.007159697	0.002627609	0.166109547	0.098601559	0.006781910	0.009962904	0.001107981	0.001067689
Glattalpsee	Central Europe	Weber et al. (2018)	46.9197	8.9040	23.00	0.390	2.633	6.799	10.782	10.100	47.590	6.023					0.081111779	0.081111779	0.012205037	0.094376466	0.115541248	0.071283533	0.071041471	0.003600581	0.005068472	0.288954055	0.151719746	0.009711308	0.008271192	0.002147607	0.003855726
Grimselsee	Central Europe	Weber et al. (2018)	46.5662	8.3037	100.00	2.700	2.362	7.557	10.487	9.794	45.340	5.994					0.360588436	0.019729793	0.007912378	0.324504755	0.051348812	0.012996231	0.003398675	0.004913823	0.000000000	0.164686738	0.035326869	0.004327045	0.007040181	0.003226264	0.000000000
Hinterburgsee	Central Europe	Weber et al. (2018)	46.7180	8.0675	11.50	0.048	4.239	7.526	12.530	11.909	60.212	6.195	243.250	7.720	4.967	0.000	0.110648659	0.025545840	0.003560449	0.149354722	0.146201868	0.049591499	0.056493707	0.003852552	0.001850663	0.256699018	0.164152293	0.009848326	0.018426467	0.001566629	0.002207309
Hinterer_Schwendisee	Central Europe	Weber et al. (2018)	47.1872	9.3313	4.00	0.012	6.032	8.543	14.755	13.929	76.887	6.388					0.153042483	0.027005067	0.004962544	0.245507952	0.127315758	0.041338566	0.043187735	0.003072698	0.001739010	0.196660817	0.134769874	0.005813106	0.013579395	0.000558975	0.001446020
IFFIGSEE	Europe	Weber et al. (2018)	46.3868	7.4059	24.00	0.112	1.552	6.685	9.605	8.882	40.110	5.906	133.500	8.010	10.750		0.067089109	0.021675109	0.005902930	0.087159749	0.106142669	0.034279924	0.050364312	0.002845604	0.004049020	0.329021098	0.244499356	0.020396960	0.016881536	0.002654540	0.007038084
Kloentalersee	Central Europe	Weber et al. (2018)	47.0254	8.9780	46.00	3.290	7.578	8.319	16.521	15.670	91.506	6.554		7.919	8.643	6.350	0.114828814	0.058265577	0.014000988	0.138015442	0.121113151	0.073432208	0.060362411	0.007293989	0.006454206	0.159327742	0.199786633	0.016286508	0.020994571	0.004186281	0.005651479
Lago_Ledro	Central Europe	Weber et al. (2018)	45.8768	10.7519	47.00	2.187	8.531	8.501	17.609	16.744	102.013	6.657					0.086038855	0.038350510	0.006870541	0.105929791	0.177913337	0.060399617	0.068325819	0.003727339	0.004728839	0.200632063	0.215223548	0.009955233	0.017599559	0.001408590	0.002896357
Lungerensee	Central Europe	Weber et al. (2018)	46.8006	8.1612	68.00	2.010	8.339	8.308	17.389	16.527	99.698	6.636	262.750	8.225	8.517	7.300	0.112442093	0.064709089	0.016092816	0.141580487	0.124065708	0.084369004	0.067584201	0.007291529	0.007026331	0.161677334	0.167795351	0.013978508	0.022438292	0.004016261	0.004932997
Lago_Lugano	Central Europe	Weber et al. (2018)	45.9881	8.9728	286.00	48.700	10.423	10.396	19.769	18.875	124.750	6.860	250.685	8.022	5.006	0.063	0.075094921	0.028032399	0.005990296	0.083350582	0.112913681	0.043309268	0.045267203	0.003117159	0.003612297	0.177635960	0.396796841	0.011178215	0.010393487	0.001118454	0.002189237
Lauerzersee	Central Europe	Weber et al. (2018)	47.0330	8.6024	13.00	3.100	9.554	9.525	18.777	17.896	114.302	6.767	297.092	7.850	6.623	3.268	0.143052288	0.067823681	0.000000000	0.172833215	0.141232086	0.083954619	0.048858173	0.000000000	0.000000000	0.180908270	0.140949687	0.011045130	0.009342850	0.000000000	0.000000000
Lago_Mognola	Central Europe	Weber et al. (2018)	46.4304	8.6886	30.00		1.858	7.014	9.938	9.227	42.087	5.939					0.093928540	0.019901067	0.009343842	0.188490874	0.077431156	0.046633580	0.005276145	0.010471152	0.000000000	0.466441745	0.070091588	0.008138934	0.001854812	0.001996565	0.000000000
Neuenburgersee	Central Europe	Weber et al. (2018)	46.8959	6.8478	152.00	217.900	9.618	9.589	18.850	17.968	115.074	6.774	300.646	8.186	10.281	9.726	0.084986612	0.033575930	0.008291775	0.098806502	0.132318823	0.067773484	0.045929317	0.006362033	0.003779200	0.202532265	0.281003050	0.015068664	0.013482409	0.002600389	0.003489545
Oeschinensee	Central Europe	Weber et al. (2018)	46.4983	7.7264	56.00	1.100	3.957	8.247	12.223	11.591	57.726	6.165					0.074990055	0.056353224	0.011964435	0.087799029	0.141835940	0.078018911	0.098194102	0.005000566	0.009796844	0.170068285	0.211893061	0.015300732	0.026122060	0.004091644	0.008571111
Lago_Poschiavo	Central Europe	Weber et al. (2018)	46.2820	10.0907	85.00		7.005	9.578	15.866	15.025	86.201	6.493					0.154291889	0.026751015	0.007103258	0.197347448	0.080305837	0.035279894	0.024821178	0.004455235	0.001225473	0.300244302	0.147262806	0.009133701	0.008975357	0.001304917	0.001497691
Lago_Ritom	Central Europe	Weber et al. (2018)	46.5401	8.6890	69.00	1.490	2.599	6.761	10.745	10.061	47.325	6.019					0.267588861	0.035443129	0.009974987	0.280790899	0.081431246	0.027580727	0.018177600	0.005476095	0.001534909	0.157426487	0.096484020	0.005886834	0.006947017	0.002581260	0.002675929
Rotsee	Central Europe	Weber et al. (2018)	47.0703	8.3147	16.00	0.480	9.647	9.619	18.884	18.002	115.430	6.777	281.225	7.890	6.642	2.799	0.146600368	0.049224124	0.011273410	0.172467965	0.191427197	0.057346681	0.045326891	0.005228899	0.002227330	0.163173642	0.138241370	0.008041170	0.007816481	0.000754536	0.000849934
Silsersee	Central Europe	Weber et al. (2018)	46.4200	9.7327	29.00		2.871	7.058	11.040	10.367	49.405	6.048		7.170	9.800	9.800	0.095158335	0.020559212	0.010525874	0.114318758	0.091536519	0.034410827	0.016418349	0.010656846	0.001500418	0.406486692	0.171347075	0.008773462	0.013465983	0.003111082	0.001730569
Soppensee	Central Europe	Weber et al. (2018)	47.0902	8.0809	25.00	0.240	8.808	8.778	17.925	17.056	105.338	6.687	382.089	7.765	7.219	2.400	0.159829214	0.051346397	0.011164745	0.184531259	0.137377088	0.077719473	0.040510079	0.005938213	0.001621536	0.189424225	0.119107051	0.010182322	0.009469272	0.001088955	0.000690173
Lago_Silvaplana	Central Europe	Weber et al. (2018)	46.4491	9.7939	78.00	2.870	2.915	7.107	11.089	10.417	49.746	6.053					0.137275489	0.028802973	0.007978166	0.183334358	0.102196152	0.037756336	0.025497625	0.005377578	0.001909513	0.294214032	0.153717371	0.010242696	0.007878744	0.001756244	0.002062724
Thunersee	Central Europe	Weber et al. (2018)	46.6907	7.7226	215.00	47.690	9.000	8.971	18.145	17.273	107.653	6.707	276.142	8.033	9.408	8.334	0.117022763	0.074250036	0.017520964	0.131261245	0.128705055	0.095249275	0.078332260	0.008076398	0.007747552	0.132511997	0.161584203	0.013523939	0.024366622	0.004406159	0.005441530
Truebsee	Central Europe	Weber et al. (2018)	46.7940	8.3901	6.50	0.300	3.034	7.236	11.218	10.551	50.653	6.066	108.445	8.750	11.350	11.300	0.135969672	0.023942126	0.010737412	0.131583328	0.108897907	0.032112729	0.046991870	0.004854670	0.005423279	0.223773288	0.220970993	0.022437061	0.019125460	0.007155554	0.006024651
Vierwaldstaettersee	Central Europe	Weber et al. (2018)	47.0138	8.4329	111.50	113.720	8.803	8.773	17.919	17.050	105.278	6.686	218.977	7.959	9.006	6.957	0.076738026	0.024857523	0.005842987	0.085962848	0.111637969	0.038480532	0.031870888	0.003259775	0.002274649	0.262514132	0.324679426	0.015584936	0.011549632	0.002502364	0.002244314
Zuerichsee	Central Europe	Weber et al. (2018)	47.2263	8.7378	135.00	88.660	9.756	9.728	19.008	18.124	116.736	6.789	290.717	7.861	6.187	2.053	0.101613539	0.034399938	0.006823703	0.105031677	0.166217000	0.042265175	0.081729927	0.003189886	0.003142545	0.197087431	0.219884203	0.008008170	0.027323720	0.001380526	0.001902560
Namtso_avg	China	Dang et al. (2018)	30.7500	90.5500	94.50	2002.000	-0.200	6.340	9.620	8.973	38.042	7.798	1710.300	9.500	6.450		0.040000000	0.020000000	0.020000000	0.030000000	0.095000000	0.020000000	0.150000000	0.000000000	0.125000000	0.045000000	0.290000000	0.010000000	0.080000000	0.000000000	0.075000000
Lake_Hulun		Dang et al. (2018)	48.9700	117.3800		2036.000	1.000	12.671	21.600	20.000	88.700	15.965					0.151515152	0.070707071	0.010101010	0.090909091	0.282828283	0.040404040	0.101010101	0.000000000	0.010101010	0.060606061	0.171717172	0.000000000	0.010101010	0.000000000	0.000000000
Lake_Qinghai_avg	China	Dang et al. (2018)	36.7950	100.3100		4282.000	1.800	8.156	13.184	12.185	57.089	8.978		9.050			0.227722772	0.064356436	0.009900990	0.089108911	0.217821782	0.039603960	0.054455446	0.009900990	0.004950495	0.074257426	0.193069307	0.009900990	0.004950495	0.000000000	0.000000000
Longquanlongwan_a	China	Dang et al. (2018)	42.4200	126.6000		0.620	3.200	13.257	20.800	19.200	92.800	13.884		7.800			0.300000000	0.090000000	0.010000000	0.190000000	0.180000000	0.050000000	0.060000000	0.010000000	0.000000000	0.040000000	0.060000000	0.000000000	0.010000000	0.000000000	0.000000000
Nanlongwan_a	China	Dang et al. (2018)	42.4100	126.4800		0.230	3.200	13.257	20.800	19.200	92.800	13.884		8.000			0.193877551	0.102040816	0.020408163	0.204081633	0.173469388	0.061224490	0.071428571	0.010204082	0.000000000	0.081632653	0.071428571	0.000000000	0.010204082	0.000000000	0.000000000
Erlongwan_a	China	Dang et al. (2018)	42.3000	126.3800		0.270	4.200	14.236	21.650	20.133	99.650	13.838		7.800			0.343434343	0.070707071	0.010101010	0.252525253	0.151515152	0.030303030	0.030303030	0.010101010	0.000000000	0.050505051	0.050505051	0.000000000	0.000000000	0.000000000	0.000000000
Dalongwan_a	China	Dang et al. (2018)	42.3400	126.3900		0.830	4.200	14.236	21.650	20.133	99.650	13.838		8.000			0.212121212	0.080808081	0.010101010	0.262626263	0.161616162	0.060606061	0.040404040	0.000000000	0.000000000	0.080808081	0.080808081	0.000000000	0.010101010	0.000000000	0.000000000
Daihai_avg	China	Dang et al. (2018)	40.5800	112.6600	7.90	50.700	4.900	13.812	20.473	19.201	96.684	12.369	15646.700	9.000	7.500		0.130872483	0.164429530	0.057046980	0.090604027	0.177852349	0.080536913	0.093959732	0.013422819	0.000000000	0.053691275	0.114093960	0.010067114	0.010067114	0.003355705	0.000000000
Lake_Chagan	China	Dang et al. (2018)	45.2100	124.3300	5.60	253.000	5.300	16.000	23.644	22.223	111.999	14.682	484.700	8.300	9.100		0.140000000	0.080000000	0.010000000	0.110000000	0.280000000	0.050000000	0.090000000	0.010000000	0.000000000	0.070000000	0.140000000	0.010000000	0.010000000	0.000000000	0.000000000
Wuliangsuhai	China	Dang et al. (2018)	40.8700	108.7800	2.40	48.200	6.100	15.477	22.693	21.306	108.336	13.039	4273.300	8.700	10.800		0.151515152	0.060606061	0.000000000	0.060606061	0.292929293	0.040404040	0.121212121	0.000000000	0.000000000	0.060606061	0.181818182	0.010101010	0.020202020	0.000000000	0.000000000
Lake_Wolong	China	Dang et al. (2018)	42.7500	123.2900	1.90	18.700	6.700	16.657	23.742	22.408	116.600	13.698	1341.000	8.300	5.900		0.148514851	0.069306931	0.009900990	0.178217822	0.247524752	0.039603960	0.069306931	0.000000000	0.000000000	0.089108911	0.138613861	0.000000000	0.009900990	0.000000000	0.000000000
Cetian	China	Dang et al. (2018)	39.9700	113.7700	4.50	17.000	7.000	13.737	22.059	20.856	109.892	12.036	3145.000	9.300	6.700		0.150000000	0.070000000	0.010000000	0.120000000	0.260000000	0.060000000	0.080000000	0.010000000	0.010000000	0.100000000	0.110000000	0.010000000	0.010000000	0.000000000	0.000000000
Lake_zhenzhu	China	Dang et al. (2018)	41.7400	122.8600	1.40	5.110	8.300	13.787	24.353	23.112	124.079	12.867	494.000	9.200			0.190000000	0.100000000	0.020000000	0.170000000	0.250000000	0.060000000	0.040000000	0.010000000	0.000000000	0.080000000	0.080000000	0.000000000	0.000000000	0.000000000	0.000000000
Guanting	Yonding, China, Asia	Dang et al. (2018)	40.2300	115.6000	7.30	52.600	9.500	14.528	24.401	23.218	130.749	11.864	1465.500	8.500	7.600		0.130000000	0.080000000	0.010000000	0.140000000	0.230000000	0.090000000	0.070000000	0.010000000	0.000000000	0.100000000	0.120000000	0.010000000	0.010000000	0.000000000	0.000000000
Yuqiao	China	Dang et al. (2018)	40.0300	117.5200	5.50	60.800	10.900	15.961	25.576	24.493	143.646	11.852	511.700	9.500	16.900		0.180000000	0.100000000	0.010000000	0.150000000	0.210000000	0.080000000	0.060000000	0.010000000	0.000000000	0.080000000	0.100000000	0.010000000	0.010000000	0.000000000	0.000000000
Xidayang	China	Dang et al. (2018)	38.7500	114.7700	1.50	27.600	12.100	17.578	26.800	25.833	158.200	11.223	453.500	8.100	8.200		0.204081633	0.102040816	0.010204082	0.112244898	0.265306122	0.051020408	0.091836735	0.000000000	0.000000000	0.040816327	0.091836735	0.010204082	0.020408163	0.000000000	0.000000000
Baiyangdian	China	Dang et al. (2018)	38.9300	115.9900	2.20	0.110	12.600	17.889	27.200	26.050	161.000	11.667	899.000	8.200	8.900		0.220000000	0.120000000	0.020000000	0.160000000	0.180000000	0.080000000	0.060000000	0.010000000	0.000000000	0.050000000	0.080000000	0.010000000	0.010000000	0.000000000	0.000000000
Lake_Hengshui	China	Dang et al. (2018)	37.6300	115.6200	4.70	16.400	12.700	17.772	26.823	25.958	159.945	11.051	1184.000	8.600	9.200		0.202020202	0.101010101	0.010101010	0.151515152	0.191919192	0.070707071	0.070707071	0.000000000	0.000000000	0.070707071	0.101010101	0.010101010	0.020202020	0.000000000	0.000000000
Lake_Dongping	China	Dang et al. (2018)	35.9600	116.2000	3.20	117.000	13.200	17.322	26.172	25.340	155.897	10.597	744.000	8.800	9.400		0.181818182	0.131313131	0.020202020	0.171717172	0.161616162	0.121212121	0.050505051	0.010101010	0.000000000	0.060606061	0.070707071	0.010101010	0.010101010	0.000000000	0.000000000
Fenghe_b	China	Dang et al. (2018)	34.3300	108.7400			13.500	14.901	26.746	25.707	163.910	9.834		8.300			0.202020202	0.121212121	0.020202020	0.121212121	0.191919192	0.060606061	0.101010101	0.010101010	0.010101010	0.040404040	0.101010101	0.010101010	0.010101010	0.000000000	0.000000000
Lake_Dushan	China	Dang et al. (2018)	35.0800	116.7700	2.40	53.400	13.700	13.700				10.004	1324.000	8.600	7.800	7.800	0.200000000	0.110000000	0.020000000	0.150000000	0.190000000	0.090000000	0.060000000	0.010000000	0.000000000	0.060000000	0.090000000	0.010000000	0.010000000	0.000000000	0.000000000
Lake_Luoma	China	Dang et al. (2018)	34.0700	118.1600	3.20	222.000	13.800	13.800				9.569	481.000	8.500	9.300	9.300	0.198019802	0.099009901	0.009900990	0.128712871	0.227722772	0.079207921	0.079207921	0.009900990	0.000000000	0.049504950	0.099009901	0.009900990	0.009900990	0.000000000	0.000000000
Lake_Hongze	China	Dang et al. (2018)	33.3100	118.7500	2.50	1000.000	14.000	14.000	26.917	25.744	170.595	9.608	446.000	8.400	9.200	9.200	0.170000000	0.160000000	0.040000000	0.130000000	0.110000000	0.100000000	0.120000000	0.010000000	0.020000000	0.050000000	0.060000000	0.010000000	0.020000000	0.000000000	0.000000000
Lake_Weishan	China	Dang et al. (2018)	34.6100	117.2600	1.90	112.000	14.600	14.600	27.194	26.280	174.241	9.870	1256.000	8.200	9.000	9.000	0.202020202	0.121212121	0.020202020	0.181818182	0.151515152	0.111111111	0.050505051	0.010101010	0.000000000	0.060606061	0.070707071	0.010101010	0.010101010	0.000000000	0.000000000
Lake_Gaoyou	China	Dang et al. (2018)	32.8200	119.3500	2.00	380.000	14.900	14.900	27.457	26.135	178.438	9.390	441.000	8.700	9.700	9.700	0.191919192	0.151515152	0.030303030	0.151515152	0.121212121	0.101010101	0.101010101	0.010101010	0.010101010	0.050505051	0.060606061	0.010101010	0.010101010	0.000000000	0.000000000
Lake_Changdang	China	Dang et al. (2018)	31.6300	119.5700	1.40	73.000	15.700	15.700	28.314	26.759	187.350	9.171	459.000	8.300	10.000	10.000	0.212121212	0.151515152	0.030303030	0.191919192	0.121212121	0.121212121	0.040404040	0.010101010	0.000000000	0.050505051	0.050505051	0.010101010	0.010101010	0.000000000	0.000000000
Lake_Shijiu	China	Dang et al. (2018)	31.5000	118.9400	3.30	173.000	15.900	15.900	28.445	27.001	189.594	9.246	216.200	8.800	8.900	8.900	0.207920792	0.148514851	0.029702970	0.168316832	0.138613861	0.108910891	0.049504950	0.009900990	0.000000000	0.049504950	0.069306931	0.009900990	0.009900990	0.000000000	0.000000000
Lake_Yangcheng	China	Dang et al. (2018)	31.4300	120.8000	1.90	65.900	15.900	15.900	27.951	26.440	189.183	8.904	681.000	8.400	8.700	8.700	0.210000000	0.140000000	0.020000000	0.190000000	0.120000000	0.120000000	0.050000000	0.010000000	0.000000000	0.060000000	0.060000000	0.010000000	0.010000000	0.000000000	0.000000000
Lake_Chang	China	Dang et al. (2018)	30.4400	112.4500	3.50	112.000	16.000	16.000	28.076	27.003	197.808	8.721	393.000	8.600	9.300	9.300	0.180000000	0.140000000	0.030000000	0.140000000	0.180000000	0.110000000	0.080000000	0.010000000	0.000000000	0.050000000	0.060000000	0.010000000	0.010000000	0.000000000	0.000000000
Lake_Caizi	China	Dang et al. (2018)	30.7900	117.1000	3.30	96.000	16.100	16.100	27.713	26.325	192.414	8.713	166.500	8.600	8.900	8.900	0.262626263	0.151515152	0.020202020	0.191919192	0.131313131	0.090909091	0.040404040	0.010101010	0.000000000	0.050505051	0.040404040	0.010101010	0.000000000	0.000000000	0.000000000
Lake_Chao	China	Dang et al. (2018)	31.5700	117.6700	4.20	792.000	16.200	16.200	28.596	27.242	193.608	9.277	288.000	8.700	8.800	8.800	0.220000000	0.160000000	0.030000000	0.190000000	0.100000000	0.110000000	0.060000000	0.010000000	0.010000000	0.050000000	0.040000000	0.010000000	0.010000000	0.000000000	0.000000000
Lake_Hong	China	Dang et al. (2018)	29.9000	113.4000	2.80	234.000	16.600	16.600	30.728	29.514	227.378	8.822	330.000	8.700	8.900	8.900	0.212121212	0.131313131	0.020202020	0.141414141	0.161616162	0.111111111	0.060606061	0.010101010	0.000000000	0.050505051	0.080808081	0.010101010	0.010101010	0.000000000	0.000000000
Lake_Wuchang	China	Dang et al. (2018)	30.2700	116.6900	3.50	41.300	16.900	16.900	28.924	27.575	201.645	9.019	117.400	8.300	8.700	8.700	0.252525253	0.181818182	0.030303030	0.181818182	0.101010101	0.111111111	0.050505051	0.010101010	0.000000000	0.040404040	0.030303030	0.010101010	0.000000000	0.000000000	0.000000000
Lake_Liangzi	China	Dang et al. (2018)	30.2300	114.6000	3.00	229.000	17.000	17.000	29.081	27.795	202.594	9.079	201.500	8.700	8.800	8.800	0.220000000	0.160000000	0.030000000	0.180000000	0.120000000	0.110000000	0.050000000	0.010000000	0.000000000	0.060000000	0.040000000	0.010000000	0.010000000	0.000000000	0.000000000
Lake_Longgan	China	Dang et al. (2018)	29.9200	116.1100	3.20	260.000	17.200	17.200	29.388	27.959	204.963	9.034	252.000	8.600	8.700	8.700	0.260000000	0.160000000	0.030000000	0.170000000	0.110000000	0.090000000	0.060000000	0.010000000	0.010000000	0.040000000	0.040000000	0.010000000	0.010000000	0.000000000	0.000000000
GONGHAI	Asia	Cao et al. (2020)	38.9000	112.2333			4.300	12.100				10.690		8.440			0.083604359	0.046072316	0.008037548	0.132877591	0.186778840	0.081522584	0.063331109	0.005781240	0.003641157	0.182183978	0.172733127	0.017084765	0.013224966	0.001901388	0.001225031
Ximenglongtan	China	Ning et al. (2019)	22.6400	99.6000			15.600	15.600		17.800	187.200	3.646					0.435500000	0.077200000	0.013100000	0.173500000	0.129700000	0.043200000	0.037800000	0.005800000	0.002000000	0.050200000	0.023400000	0.004200000	0.002900000	0.001000000	0.000500000
Donghu	China	Qian et al. (2019)	30.9100	114.0700			16.000	16.000			192.000	9.002		8.500			0.210235116	0.149611538	0.025652127	0.168472686	0.124395116	0.114849343	0.059167288	0.014752736	0.003447309	0.058784250	0.051327845	0.009310804	0.007651136	0.001613006	0.000729699