Updating "Characteristics of respirable dust in eight Appalachian coal mines: A dataset including particle size and mineralogy distributions, and metal and trace element mass concentrations" with expanded data to cover a total of 25 US mines.

A total of 171 sets respirable dust samples were collected from 25 underground coal mines in several regions of the United States. One sample from each set was analyzed by scanning electron microscopy with energy dispersive X-ray spectroscopy (SEM-EDX) to determine particle size and mineralogy distributions. Results from the first eight mines were presented in the original dataset (Sarver et al., 2019). Here, the dataset is updated to include results from all 25 mines and to further subclassify particle mineralogy using improved SEM-EDX routines. The current article presents particle mineralogy binned by size between about 100-10,000 nm on a per sample basis, and data is also available on a per particle basis. Discussion of the SEM-EDX data is included in a parallel research article "Particle size and mineralogy distributions in respirable dust samples from 25 US underground coal mines" (Sarver et al., 2021). Moreover, sequential digestions and analysis of the digestates by inductively coupled plasma-mass spectroscopy (ICP-MS) were used to estimate mass concentrations of potentially bioaccessible and total-acid soluble metals and trace elements in the respirable dust samples. Results are included here for a total of 76 samples representing 15 mines; results from first eight mines were presented in the original dataset (Sarver et al., 2019) and discussed in an earlier research article (Sarver et al., 2019).

Specifications Table

Value of the Data

This dataset builds upon a previous effort to comprehensively analyze respirable coal mine dust [1]. It substantially increases the number of operations represented (i.e., 25 mines versus eight in the original data set), and expands the range of characteristics reported (i.e., particle mineralogy has now been further subclassified, presence of diesel particulates has been evaluated, and data are provided on a per particle basis). To our knowledge, there is no other available dataset that enables direct comparison between dust characteristics across numerous sampling locations, mine regions and conditions.

The data may inform a range of stakeholders interested in respirable dust, including mine and environmental engineers; operations managers; labor representatives; government representatives; and researchers and clinicians in the health sciences. It may also inform future efforts to establish characterization methods for respirable particulates in occupational or other sensitive environments.

Data Description

The original dataset [1] included analysis of respirable coal mine dust samples collected in eight Appalachian coal mines (Mines 1–8). This updated dataset has been expanded to cover a total of 25 mines in the United States (including the original eight), from which 171 sets of respirable coal mine dust samples were collected. Each set represents a unique sampling event (i.e., specific sampling location in a specific mine), and included at least two replicate samples. One sample from each set was analyzed by scanning electron microscope with energy dispersive X-ray (SEM-EDX) using two computer-controlled routines (i.e., one targeting submicron particles and the other targeting supramicron particles) to collect data on particle size and relative elemental ratios; data on a per-particle basis is available at: https://data.mendeley.com/datasets/zhvszymk7t/1. From the elemental data, particle mineralogy was also inferred using published classification criteria [2]. SEM images and EDX data from the submicron routine were also reviewed manually to assess the presence of particles consistent with morphology and chemistry of diesel particulate matter (DPM) [2]. (It is noted that the SEM-EDX analysis described here represents an improvement over that used to generate the original dataset [1] because it enables further subclassification of particle mineralogy and assessment of DPM. Thus, all 171 samples reported here were subjected to the improved analysis to allow direct comparisons across the entire dataset).

Table 1 presents a summary of the particle analysis using the sub- and supramicron SEM-EDX routines for each sample, including the number of particles analyzed, total analyzed area, and resulting estimates of particle loading density and relative abundance (number%) of particles in each size range. Table 1 also indicates the assessment of DPM presence in each sample. Table 2 presents the relative abundance (number%) of sub- and supramicron particles in each of nine mineralogy classes per sample: carbonaceous (C); mixed carbonaceous (MC); aluminosilicates, kaolinite-like (ASK) or other (ASO); other silicates (SLO); silica (S); heavy minerals (M), which mostly included metal sulfides or oxides; carbonates (CB), or other (O).Table 3a, Table 3b, Table 3c, Table 3d, Table 3e, Table 3f, Table 3g, Table 3h–i further divide the relative abundance of particles in each mineralogy class across a total of 14 size bins (based on projected area diameter (nm) covering the sub- and supramicron ranges.

Table 1

Summary of sub- and supramicron SEM-EDX analysis data per sample. Shown for each sample are the mine region (i.e., B=mid-central Appalachia, A=northern Appalachia, C=south-central Appalachia, D=western, and E=mid-western), mine number (i.e., 1–25), and sampling location (i.e., I=intake, R=return, P=production, B=bolter, F=feeder). Assessment of DPM presence is also indicated (DPM = particles observed that are consistent with DPM morphology and chemistry, no DPM = no such particles observed, maybe = particles observed that might be DPM).

Sample					# of particles analyzed		Analyzed area (μm2)		Particle loading density (# particles/μm2)		Abundance (number%)
No.	Reg.	Mine	Loc.	DPM presence	Sub	Supra	Sub	Supra	Sub	Supra	Sub	Supra
1	B	1	F	no DPM	186	500	10,940	121,865	0.0170	0.0041	83	17
2	B	1	B	no DPM	277	500	2054	31,343	0.1349	0.0160	91	9
3	B	1	I	no DPM	18	503	9397	1,093,950	0.0019	0.0005	84	16
4	B	1	R	no DPM	271	500	3431	32,593	0.0790	0.0153	86	14
5	B	1	B	no DPM	16	236	11,080	1,795,200	0.0014	0.0001	94	6
6	B	1	P	DPM	298	437	6311	178,239	0.0472	0.0025	95	5
7	B	1	B	no DPM	259	500	3158	18,019	0.0820	0.0277	79	21
8	B	2	I	maybe	107	508	11,189	1,697,025	0.0096	0.0003	97	3
9	B	2	R	maybe	255	500	1266	21,647	0.2014	0.0231	91	9
10	B	2	B	no DPM	258	500	1281	10,732	0.2014	0.0466	84	16
11	B	2	P	no DPM	123	503	11,080	361,693	0.0111	0.0014	90	10
12	B	2	F	maybe	149	502	11,220	305,074	0.0133	0.0016	91	9
13	B	2	B	no DPM	254	500	1238	13,659	0.2052	0.0366	87	13
14	B	3	I	maybe	25	503	10,519	1,093,950	0.0024	0.0005	86	14
15	B	3	R	maybe	264	500	4111	26,617	0.0642	0.0188	82	18
16	B	3	B	no DPM	24	500	10,519	1,122,000	0.0023	0.0004	86	14
17	B	3	P	maybe	261	500	2781	23,568	0.0938	0.0212	84	16
18	B	3	F	maybe	53	500	10,940	1,079,925	0.0048	0.0005	92	8
19	B	4	I	maybe	59	504	10,379	344,192	0.0057	0.0015	81	19
20	B	4	R	no DPM	17	501	10,379	1,668,975	0.0016	0.0003	86	14
21	B	4	B	maybe	279	500	3350	30,184	0.0833	0.0166	86	14
22	B	4	F	no DPM	2	61	10,799	2,033,625	0.0002	0.0000	89	11
23	A	5	R	no DPM	264	500	3828	28,416	0.0690	0.0176	82	18
24	A	5	I	no DPM	22	503	9677	785,400	0.0023	0.0006	79	21
25	A	5	I	no DPM	50	501	10,659	226,595	0.0047	0.0022	70	30
26	A	5	F	no DPM	86	505	10,379	168,483	0.0083	0.0030	75	25
27	A	5	P	no DPM	280	500	7409	47,715	0.0378	0.0105	80	20
28	A	5	R	no DPM	267	500	4576	28,721	0.0584	0.0174	79	21
29	A	5	B	no DPM	121	507	10,238	80,064	0.0118	0.0063	69	31
30	A	5	F	no DPM	136	502	10,799	119,700	0.0126	0.0042	78	22
31	A	5	F	no DPM	230	500	10,260	30,672	0.0224	0.0163	60	40
32	A	5	R	no DPM	251	500	1577	11,311	0.1591	0.0442	80	20
33	A	6	I	DPM	266	504	8578	109,547	0.0310	0.0046	88	12
34	A	6	R	no DPM	230	500	1527	11,891	0.1506	0.0420	81	19
35	A	6	F	DPM	280	508	10,098	95,675	0.0277	0.0053	86	14
36	A	6	I	DPM	173	502	9911	127,353	0.0175	0.0039	83	17
37	A	6	R	no DPM	217	500	3296	16,952	0.0658	0.0295	73	27
38	A	6	P	no DPM	134	500	9933	85,065	0.0135	0.0059	73	27
39	A	6	I	DPM	153	505	9785	92,291	0.0156	0.0055	76	24
40	A	6	R	DPM	149	502	10,238	160,617	0.0146	0.0031	84	16
41	A	6	F	maybe	51	500	9818	288,945	0.0052	0.0017	77	23
42	A	6	B	maybe	40	500	10,379	1,304,325	0.0039	0.0004	92	8
43	A	6	I	DPM	44	501	9397	1,949,475	0.0047	0.0003	95	5
44	A	6	R	maybe	93	501	10,519	1,122,000	0.0088	0.0004	96	4
45	A	6	I	maybe	34	467	9677	2,187,900	0.0035	0.0002	95	5
46	A	6	F	maybe	68	505	9818	241,596	0.0069	0.0021	79	21
47	A	6	I	no DPM	34	495	10,519	1,711,050	0.0032	0.0003	92	8
48	C	7	R	no DPM	277	503	10,659	140,067	0.0260	0.0036	89	11
49	C	7	I	no DPM	15	504	8555	1,255,451	0.0018	0.0004	83	17
50	C	7	R	no DPM	270	500	4972	49,911	0.0543	0.0100	87	13
51	C	7	I	DPM	47	505	10,379	1,287,312	0.0045	0.0004	93	7
52	C	7	F	no DPM	111	500	10,519	40,063	0.0106	0.0125	51	49
53	C	7	P	no DPM	87	502	10,116	135,463	0.0086	0.0037	73	27
54	C	7	P	DPM	268	500	6991	80,186	0.0383	0.0062	88	12
55	C	7	F	no DPM	220	500	9843	65,430	0.0224	0.0076	77	23
56	C	7	B	no DPM	268	500	3901	33,751	0.0687	0.0148	85	15
57	C	7	R	no DPM	262	500	4307	52,380	0.0608	0.0095	88	12
58	C	7	P	no DPM	263	505	7363	54,088	0.0357	0.0093	81	19
59	C	7	B	no DPM	272	500	6492	43,721	0.0419	0.0114	80	20
60	C	7	F	no DPM	245	500	5885	38,050	0.0416	0.0131	79	21
61	C	7	P	no DPM	265	503	6171	72,442	0.0429	0.0069	87	13
62	C	8	R	no DPM	252	500	2431	12,623	0.1037	0.0396	75	25
63	C	8	P	maybe	263	500	4108	67,350	0.0640	0.0074	92	8
64	C	8	I	no DPM	47	501	10,238	203,576	0.0046	0.0025	67	33
65	C	8	F	no DPM	82	500	10,519	56,710	0.0078	0.0088	50	50
66	C	8	I	maybe	74	504	10,519	1,105,353	0.0070	0.0005	94	6
67	C	8	F	maybe	61	502	9537	296,903	0.0064	0.0017	81	19
68	C	8	R	no DPM	251	500	7139	52,472	0.0352	0.0095	82	18
69	C	8	R	no DPM	264	500	1298	21,220	0.2034	0.0236	91	9
70	C	8	I	maybe	29	502	10,519	151,927	0.0028	0.0033	49	51
71	C	8	R	maybe	179	504	10,659	127,993	0.0168	0.0039	83	17
72	C	8	F	no DPM	223	500	10,238	73,387	0.0218	0.0068	79	21
73	C	8	P	no DPM	244	500	4944	23,812	0.0493	0.0210	73	27
74	C	8	P	no DPM	242	500	1417	11,007	0.1707	0.0454	82	18
75	C	8	B	no DPM	251	500	2586	21,190	0.0970	0.0236	83	17
76	C	8	B	no DPM	270	500	1725	21,525	0.1565	0.0232	89	11
77	C	9	I	DPM	291	512	9116	205,293	0.0319	0.0025	94	6
78	C	9	F	no DPM	57	510	11,080	419,043	0.0051	0.0012	82	18
79	C	9	F	DPM	268	503	9714	82,236	0.0276	0.0061	83	17
80	C	9	R	DPM	129	505	11,220	126,027	0.0115	0.0040	78	22
81	C	9	I	DPM	75	508	10,940	588,044	0.0069	0.0009	90	10
82	C	9	B	DPM	263	509	5891	30,162	0.0446	0.0169	76	24
83	C	9	P	DPM	251	500	6469	26,404	0.0388	0.0189	71	29
84	C	9	I	maybe	216	505	10,519	308,550	0.0205	0.0016	93	7
85	C	9	F	DPM	135	505	10,940	193,743	0.0123	0.0026	84	16
86	C	9	F	DPM	64	505	11,080	265,957	0.0058	0.0019	78	22
87	C	9	R	DPM	255	506	10,519	45,936	0.0242	0.0110	72	28
88	C	9	B	maybe	55	504	9818	230,208	0.0056	0.0022	75	25
89	C	9	B	no DPM	103	503	9958	92,169	0.0103	0.0055	67	33
90	C	9	P	DPM	279	504	3635	67,617	0.0768	0.0075	92	8
91	C	11	R	maybe	254	506	2059	14,751	0.1234	0.0343	81	19
92	C	11	P	no DPM	227	506	1023	16,018	0.2219	0.0316	89	11
93	C	11	B	DPM	286	507	1159	20,427	0.2469	0.0248	92	8
94	C	11	F	DPM	292	504	4657	149,655	0.0627	0.0034	95	5
95	B	15	R	maybe	269	508	3619	27,654	0.0743	0.0184	83	17
96	B	15	B	no DPM	176	504	10,238	85,107	0.0172	0.0059	77	23
97	B	15	I	no DPM	27	80	10,799	336,600	0.0025	0.0002	92	8
98	B	15	P	maybe	268	450	4769	30,723	0.0562	0.0146	82	18
99	B	15	F	no DPM	113	504	10,799	104,049	0.0105	0.0048	71	29
100	C	12	I	DPM	299	504	1524	215,391	0.1962	0.0023	99	1
101	C	12	P	DPM	258	504	1944	13,728	0.1327	0.0367	81	19
102	C	12	B	DPM	296	502	3787	105,633	0.0782	0.0048	95	5
103	C	12	R	DPM	242	508	1263	14,058	0.1917	0.0361	87	13
104	C	14	F	DPM	269	501	2357	15,906	0.1141	0.0315	81	19
105	C	14	P	no DPM	222	501	1217	13,673	0.1825	0.0366	85	15
106	C	14	I	DPM	297	504	7433	163,218	0.0400	0.0031	93	7
107	C	14	B	DPM	156	502	11,080	208,032	0.0141	0.0024	86	14
108	A	18	R	no DPM	267	512	3752	20,922	0.0712	0.0245	78	22
109	A	18	P	no DPM	258	506	1615	10,131	0.1598	0.0499	80	20
110	A	18	I	maybe	194	504	10,238	452,298	0.0189	0.0011	95	5
111	A	18	B	maybe	178	503	9397	65,538	0.0189	0.0077	74	26
112	A	18	F	maybe	199	503	10,342	155,430	0.0192	0.0032	87	13
113	A	17	I	DPM	124	506	10,379	181,401	0.0119	0.0028	83	17
114	A	17	I	no DPM	104	505	10,379	109,989	0.0100	0.0046	72	28
115	A	17	P	no DPM	267	507	1531	11,715	0.1744	0.0433	83	17
116	A	17	R	no DPM	234	503	2030	9009	0.1153	0.0558	72	28
117	A	17	B	DPM	285	511	3210	30,096	0.0888	0.0170	86	14
118	A	17	R	DPM	266	509	5770	25,047	0.0461	0.0203	73	27
119	A	16	P	DPM	275	504	1319	13,563	0.2085	0.0372	87	13
120	A	16	R	DPM	282	509	2221	36,333	0.1270	0.0140	91	9
121	A	16	B	DPM	291	507	5203	77,814	0.0559	0.0065	91	9
122	A	16	F	DPM	288	507	1395	24,222	0.2064	0.0209	92	8
123	D	19	P	DPM	283	510	668	13,530	0.4238	0.0377	93	7
124	D	19	R	DPM	285	507	658	11,154	0.4334	0.0455	92	8
125	D	19	I	DPM	292	503	5369	86,691	0.0544	0.0058	91	9
126	D	19	F	no DPM	171	505	3445	18,315	0.0496	0.0276	67	33
127	D	19	B	maybe	272	508	654	10,989	0.4157	0.0462	92	8
128	D	19	R	maybe	276	506	804	11,583	0.3432	0.0437	91	9
129	D	20	P	no DPM	268	503	912	10,164	0.2939	0.0495	88	12
130	D	20	R	DPM	284	506	579	12,606	0.4903	0.0401	94	6
131	D	20	F	DPM	297	509	880	93,951	0.3376	0.0054	99	1
132	D	20	I	DPM	298	506	1953	272,250	0.1526	0.0019	99	1
133	D	20	F	DPM	290	507	602	10,428	0.4821	0.0486	92	8
134	D	20	B	DPM	273	505	613	10,560	0.4457	0.0478	92	8
135	C	13	B	no DPM	237	504	1268	10,890	0.1869	0.0463	83	17
136	C	13	R	no DPM	242	507	1352	10,725	0.1790	0.0473	80	20
137	C	13	F	DPM	287	505	956	18,084	0.3004	0.0279	92	8
138	C	13	I	DPM	147	505	9257	57,849	0.0159	0.0087	68	32
139	C	13	R	DPM	264	504	4496	18,711	0.0587	0.0269	72	28
140	C	13	I	DPM	271	504	2011	19,338	0.1348	0.0261	85	15
141	C	10	F	DPM	213	506	6452	88,671	0.0330	0.0057	84	16
142	C	10	R	DPM	280	515	6311	56,298	0.0444	0.0091	80	20
143	C	10	B	DPM	266	506	1463	16,038	0.1818	0.0316	81	19
144	C	10	P	no DPM	269	506	621	9240	0.4331	0.0548	84	16
145	C	10	F	DPM	278	505	3506	16,401	0.0793	0.0308	71	29
146	C	10	B	DPM	265	508	890	9867	0.2977	0.0515	80	20
147	C	10	I	DPM	294	509	8836	387,189	0.0333	0.0013	95	5
148	C	22	F	DPM	293	502	1632	122,892	0.1795	0.0041	98	2
149	C	22	P	DPM	248	505	1906	12,111	0.1301	0.0417	79	21
150	C	22	I	DPM	297	502	2092	236,511	0.1420	0.0021	99	1
151	C	21	P	no DPM	257	502	1154	11,583	0.2226	0.0433	86	14
152	C	21	F	DPM	271	500	5853	37,290	0.0463	0.0134	80	20
153	C	21	I	DPM	261	509	3868	21,846	0.0675	0.0233	78	22
154	C	21	B	DPM	265	508	7176	24,783	0.0369	0.0205	69	31
155	C	21	R	no DPM	251	501	1694	11,418	0.1481	0.0439	80	20
156	E	23	I	DPM	299	503	389	17,391	0.7692	0.0289	97	3
157	E	23	I	DPM	295	505	437	31,218	0.6757	0.0162	98	2
158	E	23	I	DPM	293	503	317	17,655	0.9231	0.0285	97	3
159	E	23	R	DPM	272	510	715	10,890	0.3803	0.0468	91	9
160	E	23	P	no DPM	257	508	2239	18,381	0.1148	0.0276	84	16
161	E	24	R	DPM	296	507	317	15,873	0.9344	0.0319	97	3
162	E	24	I	DPM	256	505	567	9900	0.4517	0.0510	91	9
163	E	24	F	DPM	300	504	382	34,089	0.7847	0.0148	98	2
164	E	24	R	no DPM	252	506	573	9867	0.4396	0.0513	91	9
165	E	24	I	DPM	297	508	196	40,656	1.5150	0.0125	99	1
166	E	24	I	DPM	299	504	247	47,190	1.2122	0.0107	99	1
167	C	25	I	no DPM	311	500	5610	100,052	0.0554	0.0050	92	8
168	C	25	F	no DPM	312	500	1706	12,379	0.1829	0.0404	84	16
169	C	25	B	no DPM	300	500	1391	10,535	0.2157	0.0475	84	16
170	C	25	R	no DPM	302	500	1712	24,857	0.1764	0.0201	92	8
171	C	25	P	no DPM	320	500	899	14,519	0.3561	0.0344	93	7

Table 2

Relative abundance of sub- and supramicron particles in each mineralogy class per sample. (Values sum to 100% for each sample).

	Abundance (number%)
	C		MC		ASK		ASO		SLO		S		M		CB		O
Sample No	Sub	Supra	Sub	Supra	Sub	Supra	Sub	Supra	Sub	Supra	Sub	Supra	Sub	Supra	Sub	Supra	Sub	Supra
1	49	4	20	3	1	1	5	3	0	0	1	1	2	0	2	4	3	0
2	41	1	31	1	4	2	12	4	0	0	4	1	0	0	0	0	0	0
3	54	1	14	1	0	0	0	1	0	0	0	0	0	0	16	13	0	0
4	39	0	26	1	4	3	12	7	0	0	3	1	0	0	1	1	0	0
5	82	4	12	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0
6	91	0	1	0	0	0	1	1	0	0	0	0	0	0	1	3	1	0
7	21	1	22	2	6	4	24	12	0	0	5	1	1	0	1	0	0	0
8	44	0	4	0	3	0	24	1	0	0	2	0	0	0	17	0	5	0
9	2	0	9	0	1	0	14	3	2	0	64	5	0	0	0	0	0	0
10	1	0	7	0	0	0	31	10	2	0	43	6	0	0	1	0	0	0
11	34	1	5	0	2	0	22	5	1	0	24	3	1	0	1	0	0	0
12	77	4	5	1	1	1	4	2	0	0	3	1	1	0	0	0	0	0
13	2	0	5	0	3	0	69	13	0	0	8	0	0	0	0	0	0	0
14	61	1	4	0	0	1	10	3	0	0	4	2	0	0	8	6	0	0
15	24	1	23	2	5	3	22	9	0	0	7	2	1	0	0	0	0	0
16	39	2	21	1	0	2	7	3	0	0	0	2	7	1	11	4	0	0
17	11	1	13	2	8	3	45	9	0	0	4	2	1	0	0	0	0	0
18	81	4	7	1	0	1	0	2	0	0	2	0	2	0	0	1	0	0
19	26	2	15	1	7	3	26	9	0	0	4	3	1	0	1	1	0	0
20	70	1	5	0	0	0	0	1	0	0	0	0	0	0	11	10	0	0
21	31	1	20	1	1	2	10	5	0	0	23	4	1	0	0	0	0	0
22	88	7	0	1	0	0	0	1	0	0	0	1	0	0	0	1	0	0
23	35	3	19	2	9	4	16	7	0	0	2	1	0	0	1	2	0	0
24	53	2	0	1	4	2	7	6	0	0	0	2	0	0	15	7	0	0
25	32	7	7	2	5	2	12	4	0	0	1	1	1	0	9	13	3	0
26	21	2	6	1	4	1	9	2	0	0	2	1	0	0	33	17	1	1
27	48	6	13	2	10	4	6	4	0	0	1	1	1	0	2	3	0	0
28	39	3	15	2	8	3	10	6	0	0	1	1	0	0	6	5	0	0
29	18	8	11	2	2	2	9	5	1	0	2	1	1	0	23	13	2	1
30	35	6	11	3	2	1	2	2	0	0	1	0	0	0	26	11	1	0
31	18	5	5	1	3	0	6	3	1	0	2	1	1	0	24	27	2	2
32	2	0	5	0	0	0	3	1	1	0	0	0	2	0	55	15	12	3
33	40	1	14	1	1	0	8	2	0	0	1	0	3	0	21	6	0	0
34	1	0	3	0	0	0	0	0	2	0	0	0	1	0	65	18	7	1
35	59	2	16	2	1	1	3	3	0	0	1	1	1	0	6	6	0	0
36	7	0	6	0	0	0	4	0	0	0	0	0	0	0	61	16	4	0
37	10	0	6	0	0	0	2	0	0	0	0	0	0	0	54	25	0	1
38	36	19	12	3	2	2	1	0	0	0	1	0	0	0	21	3	1	0
39	32	3	8	1	0	0	0	0	0	0	0	0	0	0	35	19	0	0
40	49	3	17	1	1	1	2	1	0	0	1	0	1	0	14	9	0	0
41	58	7	5	1	0	1	5	1	0	0	0	0	0	0	10	12	0	0
42	80	1	2	1	2	0	0	1	0	0	2	0	2	0	3	4	0	0
43	82	0	4	0	0	0	2	0	0	0	2	0	0	0	5	3	0	0
44	88	1	1	0	2	0	2	0	1	0	1	0	0	0	0	3	0	0
45	83	1	3	0	0	0	0	0	0	0	0	0	0	0	9	3	0	0
46	61	11	11	3	3	2	1	1	0	0	0	0	0	0	3	4	0	0
47	46	1	19	0	0	0	0	0	3	0	0	0	3	0	22	5	0	0
48	47	2	24	1	3	2	7	4	0	0	3	1	4	0	1	1	0	0
49	65	1	0	0	0	1	0	6	0	0	5	1	0	0	11	7	0	1
50	39	1	25	2	4	3	15	6	0	0	3	1	0	0	1	0	0	0
51	84	1	2	0	0	1	0	1	0	0	0	0	0	0	6	4	0	0
52	18	8	9	4	1	3	10	10	0	0	1	2	1	1	10	20	1	1
53	38	6	12	2	3	4	11	9	0	0	1	2	1	0	7	4	0	0
54	32	1	26	1	6	2	15	4	1	0	5	1	1	0	2	2	1	0
55	14	1	12	2	7	5	29	11	0	0	7	2	1	0	5	1	2	0
56	28	2	24	2	3	1	19	5	0	0	3	1	0	0	6	5	0	0
57	25	1	29	1	4	1	19	6	0	0	10	2	1	0	0	0	0	0
58	36	3	18	2	4	2	15	6	0	0	3	1	0	0	5	5	0	0
59	27	1	19	2	8	3	22	11	0	0	4	1	0	0	1	1	0	0
60	22	1	16	1	5	4	30	12	0	0	2	1	0	0	3	2	1	0
61	31	1	19	1	5	2	27	7	0	0	4	1	0	0	2	1	0	0
62	1	0	3	0	0	0	5	2	0	0	0	0	0	0	58	14	7	9
63	37	0	22	1	3	2	8	3	0	0	21	2	0	0	0	0	0	0
64	14	3	3	1	3	3	23	14	0	0	18	3	0	0	6	7	0	2
65	20	5	11	4	3	9	12	24	0	0	1	4	1	0	1	3	0	0
66	89	1	1	0	0	1	3	3	0	0	1	0	0	0	0	1	0	0
67	63	3	11	1	0	3	3	6	0	0	0	2	0	0	4	3	0	0
68	17	1	16	1	9	5	28	10	1	0	9	2	0	0	1	1	1	0
69	14	0	12	0	0	0	5	2	1	0	59	6	0	0	0	0	0	0
70	27	2	2	1	2	6	13	27	0	0	3	5	0	0	2	9	0	1
71	44	2	12	1	5	4	8	6	0	0	13	2	1	0	1	2	0	0
72	27	2	16	2	2	2	11	8	0	0	18	6	1	0	2	1	0	0
73	10	0	16	1	2	2	28	19	1	0	15	4	1	0	0	0	0	0
74	0	0	0	0	0	0	27	7	0	0	55	12	0	0	0	0	0	0
75	30	1	16	1	3	3	13	8	0	0	21	4	0	0	0	0	0	0
76	40	0	18	1	0	1	10	4	0	0	21	5	0	0	0	0	0	0
77	81	3	9	1	0	0	2	1	0	0	2	0	0	0	0	0	0	0
78	46	1	22	4	0	1	3	6	0	0	6	1	3	1	3	2	0	2
79	39	4	21	4	3	1	13	4	1	0	4	1	2	0	0	0	1	0
80	41	10	21	5	1	1	10	3	0	0	4	1	2	0	0	0	0	0
81	84	3	2	2	0	1	0	2	0	0	0	0	1	0	2	2	1	0
82	37	9	21	7	3	2	14	6	0	0	1	1	1	0	0	0	0	0
83	25	3	17	4	4	3	18	15	0	0	5	2	1	0	1	2	1	0
84	82	2	5	1	0	0	3	1	0	0	2	0	0	0	2	2	0	0
85	56	8	16	3	1	0	6	1	1	0	1	0	2	0	1	3	0	0
86	44	2	15	2	5	4	9	10	0	0	4	2	0	0	1	1	0	0
87	40	10	14	7	1	2	10	5	0	0	4	2	1	0	1	2	0	0
88	27	5	24	5	1	1	15	10	0	0	3	2	3	0	3	1	0	0
89	37	11	7	6	0	3	15	6	0	0	3	2	1	0	4	4	1	1
90	48	2	23	1	1	1	10	2	1	0	1	0	4	0	5	1	0	0
91	0	0	1	0	5	1	72	18	0	0	3	0	1	0	0	0	0	0
92	0	0	2	0	6	0	76	11	0	0	5	0	0	0	0	0	0	0
93	59	0	14	1	2	1	13	5	0	0	1	1	2	0	1	0	0	0
94	89	2	4	1	0	0	0	1	0	0	0	0	1	0	0	0	0	0
95	28	3	23	3	9	4	19	5	0	0	4	1	0	0	0	0	0	0
96	42	10	17	4	2	2	10	3	0	0	4	2	0	0	2	2	0	0
97	85	1	3	1	0	0	0	0	0	0	0	0	3	0	0	6	0	0
98	49	5	19	3	6	4	7	3	0	0	2	1	0	0	0	1	0	0
99	61	18	4	2	1	1	4	2	0	0	0	1	0	0	2	5	0	0
100	99	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
101	20	2	19	3	6	5	31	8	0	0	3	1	2	0	0	0	0	0
102	92	3	1	1	0	0	1	0	0	0	0	0	0	0	1	0	0	0
103	2	0	6	0	6	1	66	12	0	0	3	0	0	0	1	0	2	0
104	42	2	15	3	1	3	17	10	0	0	2	1	3	0	1	0	0	0
105	0	0	0	0	2	0	83	15	0	0	1	0	0	0	0	0	0	0
106	87	2	2	1	0	0	3	1	0	0	0	0	0	0	1	2	0	0
107	60	5	15	3	1	2	9	2	0	0	0	1	1	0	1	0	0	0
108	46	6	17	5	5	5	8	5	0	0	2	1	0	0	0	0	0	0
109	12	1	19	1	12	9	35	9	0	0	2	0	0	0	0	0	0	0
110	89	1	3	0	1	0	0	0	0	0	1	0	0	0	0	2	0	0
111	33	9	20	5	5	4	11	4	0	0	3	2	2	0	1	1	0	0
112	80	6	4	2	0	1	0	1	0	0	0	0	0	0	1	2	0	0
113	46	2	19	1	0	0	2	0	0	0	0	0	1	0	15	13	0	0
114	39	12	20	4	3	6	3	3	0	0	1	1	2	0	5	2	0	0
115	13	1	16	2	26	9	24	5	0	0	2	0	1	0	0	0	1	0
116	0	0	0	0	29	17	38	11	0	0	5	0	0	0	0	0	0	0
117	53	3	14	1	1	0	2	1	0	0	8	2	0	0	8	6	0	0
118	38	10	14	2	1	0	1	0	0	0	1	0	0	0	18	13	1	0
119	42	5	16	4	5	1	8	2	0	0	1	1	12	0	1	0	1	1
120	73	6	10	1	2	0	1	0	0	0	1	0	3	0	1	0	0	0
121	79	5	7	1	1	0	2	0	0	0	1	0	1	0	0	1	0	0
122	81	5	7	1	2	1	1	0	0	0	0	0	0	0	1	0	0	0
123	43	2	23	2	0	0	16	2	1	0	2	0	2	0	6	1	0	0
124	30	1	32	2	0	0	16	3	1	0	6	0	1	0	6	1	1	0
125	85	3	1	1	0	0	1	1	0	0	0	0	0	0	3	3	0	0
126	3	0	11	1	1	0	45	28	0	0	6	3	0	0	1	0	0	0
127	28	1	30	2	1	0	26	4	0	0	7	0	0	0	0	0	0	0
128	34	1	31	2	0	0	17	4	1	0	5	0	2	0	1	0	0	0
129	0	0	2	0	0	0	78	12	0	0	3	0	0	0	4	0	2	0
130	39	1	33	1	1	0	17	3	0	0	0	0	1	0	2	1	0	0
131	96	1	1	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0
132	97	0	1	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0
133	62	2	16	1	1	0	11	2	0	0	1	0	0	0	1	1	0	0
134	2	0	13	0	0	0	56	6	0	0	3	0	1	0	15	2	2	0
135	0	0	0	0	7	1	68	17	0	0	8	0	0	0	0	0	0	0
136	0	0	0	0	0	0	21	1	8	0	0	0	0	0	6	4	46	16
137	85	5	4	1	0	0	1	0	0	0	0	0	1	0	1	1	0	0
138	52	13	4	2	0	0	1	1	0	0	0	0	1	0	9	16	0	0
139	61	21	7	3	1	1	1	2	0	0	1	1	1	0	0	1	0	0
140	74	6	4	2	0	1	4	4	0	0	1	1	0	0	1	1	1	0
141	70	6	8	3	0	2	4	3	1	0	0	1	1	0	0	0	0	0
142	58	10	15	3	1	1	3	3	1	0	1	2	1	0	0	0	0	0
143	42	6	29	4	3	2	6	7	0	0	1	1	0	0	0	0	0	0
144	0	0	0	0	50	11	33	5	0	0	0	1	0	0	0	0	0	0
145	49	6	11	5	3	8	6	8	1	0	0	1	1	1	0	0	0	0
146	17	2	22	2	16	7	23	8	0	0	1	1	0	0	0	0	0	0
147	87	2	5	1	0	0	1	0	0	0	1	1	1	0	0	0	0	0
148	92	1	2	0	0	0	0	0	0	0	2	0	1	0	0	0	0	0
149	1	0	3	0	2	0	67	20	0	0	7	0	0	0	0	0	0	0
150	97	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
151	1	0	0	0	3	0	77	14	0	0	4	0	0	0	0	0	0	0
152	31	5	25	5	2	2	14	5	0	0	3	1	4	0	1	1	0	0
153	46	4	18	5	1	3	10	7	0	0	3	1	0	0	1	1	0	0
154	32	6	20	6	1	3	8	9	0	0	3	2	2	0	2	4	0	1
155	0	0	1	0	2	1	71	19	0	0	6	0	0	0	0	0	0	0
156	92	2	3	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
157	80	1	4	0	0	0	0	0	0	0	0	0	0	0	13	1	0	0
158	83	1	11	0	0	0	0	0	0	0	0	0	0	0	3	1	0	0
159	53	0	15	0	0	0	0	0	0	0	0	0	0	0	22	8	0	0
160	16	1	13	1	0	0	1	0	0	0	0	0	1	0	51	14	1	0
161	83	1	5	0	0	0	4	0	0	0	4	1	0	0	1	0	0	0
162	6	0	5	0	0	0	5	1	0	0	76	7	0	0	0	0	0	0
163	97	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
164	2	0	1	0	1	0	17	0	3	0	0	0	0	0	58	7	11	2
165	99	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
166	99	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
167	61	2	5	1	2	1	15	1	1	0	4	1	1	0	3	1	0	0
168	15	1	16	2	3	1	38	9	1	0	5	1	4	0	2	1	1	1
169	3	0	9	0	8	4	58	11	0	0	5	0	1	0	0	0	0	0
170	38	2	21	2	3	1	26	2	0	0	3	0	1	0	0	0	0	0
171	32	1	25	1	4	2	28	3	0	0	3	0	1	0	0	0	0	0

Table 3a

Relative abundance of carbonaceous (C) particles by size bin (nm) for each sample. (Values sum to total abundance in C class as shown in Table 2 for each sample).

	Relative abundance of C particles (number%)
	Sub									Supra
Sample No	[87, 200)	[200, 300)	[300, 400)	[400, 500)	[500, 600)	[600, 700)	[700, 800)	[800, 900)	[900, 1000)	[1000, 2000)	[2000, 3000)	[3000, 4000)	[4000, 5000)	≥5000
1	19	17	6	3	2	0	1	0	1	3	0	0	0	0
2	11	16	8	4	1	0	0	0	0	1	0	0	0	0
3	18	4	9	4	13	4	0	0	0	1	0	0	0	0
4	11	14	9	2	2	0	1	0	0	0	0	0	0	0
5	57	23	0	0	0	0	0	0	2	4	0	0	0	0
6	67	18	4	2	0	0	0	0	0	0	0	0	0	0
7	5	7	3	3	1	0	0	0	0	1	0	0	0	0
8	33	6	3	1	1	0	0	0	0	0	0	0	0	0
9	1	0	0	1	0	0	0	0	0	0	0	0	0	0
10	0	0	0	0	0	0	0	0	0	0	0	0	0	0
11	30	2	0	1	1	0	0	0	0	1	0	0	0	0
12	50	20	4	2	1	0	1	0	1	3	1	0	0	0
13	1	0	0	1	0	0	0	0	0	0	0	0	0	0
14	34	17	3	3	0	3	0	0	0	1	0	0	0	0
15	13	5	4	1	0	0	0	0	1	1	0	0	0	0
16	24	10	0	3	0	0	0	0	0	1	0	0	0	0
17	5	3	2	1	0	0	0	0	0	1	0	0	0	0
18	40	21	3	5	7	3	2	0	0	2	1	1	0	0
19	8	5	8	4	0	0	0	0	0	1	0	0	0	0
20	40	15	10	0	0	5	0	0	0	1	0	0	0	0
21	16	6	4	3	1	0	0	0	0	1	0	0	0	0
22	43	0	43	0	0	0	0	0	2	6	0	0	0	0
23	12	11	5	2	3	1	0	0	0	2	1	0	0	0
24	43	4	7	0	0	0	0	0	0	1	1	0	0	0
25	15	10	1	3	3	0	0	0	1	5	2	0	0	0
26	9	7	2	3	1	0	0	0	0	1	1	0	0	0
27	13	12	8	4	5	4	1	0	1	4	1	1	0	0
28	14	9	5	3	2	2	2	0	1	2	1	0	0	0
29	4	4	2	2	2	1	1	0	1	5	1	1	0	0
30	8	5	6	8	4	3	1	0	1	4	1	0	0	0
31	2	4	4	5	2	1	0	0	1	5	1	0	0	0
32	0	0	1	0	0	0	0	0	0	0	0	0	0	0
33	21	8	6	2	1	0	0	0	0	1	0	0	0	0
34	1	0	0	0	0	0	0	0	0	0	0	0	0	0
35	29	16	9	2	2	0	0	0	0	2	0	0	0	0
36	4	1	1	0	0	0	0	0	0	0	0	0	0	0
37	3	2	2	1	1	1	0	0	0	0	0	0	0	0
38	7	7	6	5	6	3	0	0	2	11	5	2	1	0
39	15	4	5	2	1	3	0	0	0	1	1	1	0	0
40	25	10	5	3	3	2	1	0	1	2	1	0	0	0
41	37	16	1	3	0	0	0	0	1	3	2	1	1	0
42	59	14	5	2	0	0	0	0	0	1	0	0	0	0
43	60	15	4	0	0	0	0	0	2	0	0	0	0	0
44	67	12	5	1	3	0	0	0	0	0	0	0	0	0
45	55	22	3	3	0	0	0	0	0	1	0	0	0	0
46	33	15	8	2	2	0	0	0	1	7	3	1	0	0
47	38	5	0	0	0	3	0	0	0	1	0	0	0	0
48	17	14	10	2	2	1	0	0	0	1	0	0	0	0
49	22	33	11	0	0	0	0	0	0	1	0	0	0	0
50	12	12	9	3	2	0	0	0	1	1	0	0	0	0
51	53	18	10	2	0	2	0	0	0	1	0	0	0	0
52	6	4	4	2	0	0	0	0	1	6	2	0	0	0
53	15	9	4	6	2	1	0	0	1	4	2	1	0	0
54	10	9	7	2	2	2	0	0	0	1	0	0	0	0
55	5	4	2	0	1	0	0	0	0	1	0	0	0	0
56	6	12	7	1	1	0	0	0	0	1	1	0	0	0
57	10	8	4	2	1	0	0	0	0	0	0	0	0	0
58	9	11	8	4	2	0	1	0	1	2	1	0	0	0
59	10	7	4	4	1	1	0	0	0	1	0	0	0	0
60	6	6	4	3	2	0	0	0	0	1	0	0	0	0
61	11	10	6	2	2	0	0	0	0	1	0	0	0	0
62	1	1	0	0	0	0	0	0	0	0	0	0	0	0
63	15	10	7	2	1	1	0	0	0	0	0	0	0	0
64	7	1	0	4	1	0	0	0	0	2	1	0	0	0
65	9	3	5	1	1	1	0	0	1	4	1	1	0	0
66	72	10	4	1	0	1	0	0	0	0	0	0	0	0
67	39	13	4	3	4	0	0	0	0	1	1	1	0	0
68	7	6	2	2	1	0	0	0	0	1	0	0	0	0
69	5	4	2	1	0	0	0	0	0	0	0	0	0	0
70	19	2	6	0	0	0	0	0	0	2	0	0	0	0
71	20	12	7	4	1	0	0	0	0	1	1	0	0	0
72	8	11	3	2	2	0	0	0	0	2	1	0	0	0
73	4	3	2	1	0	0	0	0	0	0	0	0	0	0
74	0	0	0	0	0	0	0	0	0	0	0	0	0	0
75	13	8	6	2	2	0	0	0	0	0	0	0	0	0
76	16	13	6	3	1	1	0	0	0	0	0	0	0	0
77	38	24	8	6	2	1	1	0	1	3	0	0	0	0
78	11	20	7	3	1	1	1	0	0	0	0	0	0	0
79	16	10	7	3	2	0	0	0	1	4	0	0	0	0
80	17	11	3	5	1	1	0	0	3	10	0	0	0	0
81	40	22	9	2	4	5	0	0	1	2	0	0	0	0
82	14	11	4	2	2	1	0	0	2	9	0	0	0	0
83	10	6	5	3	1	1	0	0	0	2	0	0	0	0
84	44	24	9	2	3	0	0	0	0	2	0	0	0	0
85	27	14	9	5	0	1	0	0	1	7	1	0	0	0
86	20	5	7	8	4	0	0	0	1	1	0	0	0	0
87	16	10	5	2	3	1	1	0	3	10	1	0	0	0
88	10	10	1	1	1	0	0	0	2	4	1	0	0	0
89	8	11	6	4	3	3	1	0	1	9	1	0	0	0
90	19	19	6	2	1	0	0	0	1	2	0	0	0	0
91	0	0	0	0	0	0	0	0	0	0	0	0	0	0
92	0	0	0	0	0	0	0	0	0	0	0	0	0	0
93	31	17	7	2	2	0	0	0	0	0	0	0	0	0
94	56	19	7	7	0	1	0	0	0	1	0	0	0	0
95	11	8	6	1	0	1	0	0	1	3	0	0	0	0
96	14	11	9	1	1	1	1	0	2	8	1	0	0	0
97	57	20	3	3	0	0	0	0	0	1	1	0	0	0
98	20	13	8	4	1	0	0	0	2	5	0	0	0	0
99	25	13	4	5	6	3	2	1	2	11	4	2	1	0
100	73	16	7	2	1	0	0	0	0	1	0	0	0	0
101	9	5	3	2	1	0	0	0	1	2	0	0	0	0
102	59	20	8	2	1	1	0	0	1	3	1	0	0	0
103	0	1	1	0	0	0	0	0	0	0	0	0	0	0
104	22	11	5	3	0	0	0	0	1	1	0	0	0	0
105	0	0	0	0	0	0	0	0	0	0	0	0	0	0
106	59	18	6	3	0	0	1	0	0	2	0	0	0	0
107	31	20	4	2	0	1	0	0	1	5	0	0	0	0
108	14	14	6	6	3	2	0	0	2	5	0	0	0	0
109	4	4	3	1	0	0	0	0	0	1	0	0	0	0
110	51	22	11	3	1	0	0	0	1	1	0	0	0	0
111	9	12	4	4	1	0	0	0	2	7	1	1	0	0
112	41	21	12	4	0	1	0	0	1	5	1	0	0	0
113	27	14	3	1	1	0	0	0	1	2	0	0	0	0
114	15	12	7	3	1	0	1	0	2	9	2	0	0	0
115	5	3	4	0	0	0	0	0	0	1	0	0	0	0
116	0	0	0	0	0	0	0	0	0	0	0	0	0	0
117	33	12	3	2	1	1	0	0	1	2	0	0	0	0
118	11	7	7	4	3	2	1	0	2	8	2	0	0	0
119	18	10	6	4	3	1	0	0	1	3	1	0	0	0
120	34	15	11	6	3	3	1	0	1	5	1	0	0	0
121	48	16	6	4	2	1	0	0	1	4	1	0	0	0
122	43	22	8	5	2	1	0	0	1	4	1	0	0	0
123	22	9	5	4	2	0	0	0	0	1	0	0	0	0
124	13	9	5	2	0	0	1	0	0	1	0	0	0	0
125	60	16	5	2	1	1	0	0	0	2	0	0	0	0
126	1	1	0	0	0	1	0	0	0	0	0	0	0	0
127	9	13	4	1	1	0	0	0	0	1	0	0	0	0
128	14	8	6	3	1	1	0	0	0	1	0	0	0	0
129	0	0	0	0	0	0	0	0	0	0	0	0	0	0
130	18	11	6	2	1	1	0	0	0	1	0	0	0	0
131	56	24	11	3	2	0	0	0	0	1	0	0	0	0
132	63	21	10	2	1	0	0	0	0	0	0	0	0	0
133	39	15	5	3	1	0	0	0	0	2	0	0	0	0
134	1	1	0	0	0	0	0	0	0	0	0	0	0	0
135	0	0	0	0	0	0	0	0	0	0	0	0	0	0
136	0	0	0	0	0	0	0	0	0	0	0	0	0	0
137	48	23	8	4	1	1	0	0	1	3	1	0	0	0
138	29	15	4	1	0	0	0	0	2	11	1	0	0	0
139	26	9	11	5	4	3	2	0	2	14	4	2	0	0
140	41	13	6	6	4	3	1	0	1	4	1	1	0	0
141	0	37	16	11	4	1	1	0	0	1	4	0	0	0
142	0	25	16	10	4	1	1	0	0	3	7	0	0	0
143	0	13	12	6	4	4	2	0	0	2	4	0	0	0
144	0	0	0	0	0	0	0	0	0	0	0	0	0	0
145	0	27	12	5	3	2	0	0	0	1	4	1	0	0
146	0	10	2	3	1	0	0	0	0	1	1	0	0	0
147	0	54	20	9	3	2	0	0	0	1	1	0	0	0
148	55	25	8	3	1	0	0	0	0	1	0	0	0	0
149	0	0	0	0	0	0	0	0	0	0	0	0	0	0
150	57	25	10	3	1	2	0	0	0	1	0	0	0	0
151	0	0	0	0	0	0	0	0	0	0	0	0	0	0
152	15	7	3	3	1	0	0	0	1	4	0	0	0	0
153	21	12	5	4	2	1	0	0	2	4	0	0	0	0
154	12	9	6	2	1	0	0	0	2	5	0	0	0	0
155	0	0	0	0	0	0	0	0	0	0	0	0	0	0
156	61	21	7	2	1	1	0	0	0	2	0	0	0	0
157	54	15	4	4	2	0	1	0	0	1	0	0	0	0
158	50	19	7	3	2	1	0	0	0	1	0	0	0	0
159	37	10	4	1	1	0	0	0	0	0	0	0	0	0
160	9	3	1	1	0	1	0	0	1	1	0	0	0	0
161	56	16	7	2	1	1	0	0	0	1	0	0	0	0
162	2	1	1	1	0	0	0	0	0	0	0	0	0	0
163	60	25	7	2	1	1	0	0	0	1	0	0	0	0
164	0	0	0	0	0	0	0	0	0	0	0	0	0	0
165	49	25	12	7	5	1	0	0	0	0	0	0	0	0
166	54	27	10	5	3	0	0	0	0	0	0	0	0	0
167	43	10	4	1	0	0	1	0	1	2	0	0	0	0
168	6	5	1	2	0	0	0	0	0	1	0	0	0	0
169	2	1	0	0	0	0	0	0	0	0	0	0	0	0
170	16	11	7	1	1	1	0	0	1	1	0	0	0	0
171	15	10	4	2	1	0	0	0	0	1	0	0	0	0

Table 3b

Relative abundance of mixed-carbonaceous (MC) particles by size bin (nm) for each sample. (Values sum to total abundance in C class as shown in Table 2 for each sample).

	Relative abundance of MC particles (number%)
	Sub									Supra
Sample No	[87, 200)	[200, 300)	[300, 400)	[400, 500)	[500, 600)	[600, 700)	[700, 800)	[800, 900)	[900, 1000)	[1000, 2000)	[2000, 3000)	[3000, 4000)	[4000, 5000)	>=5000
1	1	3	5	4	2	1	2	0	1	2	0	0	0	0
2	1	4	7	6	8	2	1	0	1	1	0	0	0	0
3	0	0	4	4	0	4	0	0	0	1	0	0	0	0
4	1	3	8	7	5	1	0	0	1	1	0	0	0	0
5	6	6	0	0	0	0	0	0	0	1	0	0	0	0
6	0	0	0	0	0	0	0	0	0	0	0	0	0	0
7	1	3	6	5	3	2	1	0	1	2	0	0	0	0
8	1	1	1	1	0	0	0	0	0	0	0	0	0	0
9	2	2	2	2	1	0	0	0	0	0	0	0	0	0
10	1	3	1	1	1	0	0	0	0	0	0	0	0	0
11	3	1	0	1	0	0	0	0	0	0	0	0	0	0
12	1	1	2	1	0	0	0	0	0	1	0	0	0	0
13	2	1	1	0	0	0	0	0	0	0	0	0	0	0
14	0	3	0	0	0	0	0	0	0	0	0	0	0	0
15	3	5	4	5	3	1	1	0	1	2	0	0	0	0
16	0	7	3	3	3	3	0	0	0	1	0	0	0	0
17	2	5	4	0	1	0	0	0	1	2	0	0	0	0
18	2	3	0	2	0	0	0	0	0	0	0	0	0	0
19	5	3	4	1	1	0	0	0	0	1	0	0	0	0
20	0	0	5	0	0	0	0	0	0	0	0	0	0	0
21	3	2	4	6	4	0	0	0	0	1	0	0	0	0
22	0	0	0	0	0	0	0	0	0	1	0	0	0	0
23	1	5	4	3	2	3	1	0	0	1	0	0	0	0
24	0	0	0	0	0	0	0	0	0	1	0	0	0	0
25	0	3	1	0	1	0	1	0	0	1	1	0	0	0
26	0	3	2	1	1	0	0	0	0	0	0	0	0	0
27	1	3	3	2	2	1	0	0	0	1	1	0	0	0
28	1	2	3	2	3	2	0	0	0	2	0	0	0	0
29	1	2	4	3	1	1	1	0	0	2	0	0	0	0
30	2	3	3	2	1	0	1	0	0	2	0	0	0	0
31	0	1	2	1	0	1	0	0	0	1	0	0	0	0
32	0	1	1	2	0	1	0	0	0	0	0	0	0	0
33	2	2	4	3	3	1	0	0	0	1	0	0	0	0
34	0	1	1	0	0	0	0	0	0	0	0	0	0	0
35	2	1	3	3	2	2	1	0	1	1	0	0	0	0
36	2	3	1	0	0	0	0	0	0	0	0	0	0	0
37	1	1	1	2	1	1	0	0	0	0	0	0	0	0
38	2	5	2	2	1	0	0	0	0	2	0	0	0	0
39	1	2	2	0	1	0	0	0	0	0	0	0	0	0
40	1	6	4	4	1	1	0	0	0	1	0	0	0	0
41	0	0	0	3	0	0	1	0	0	1	0	0	0	0
42	2	0	0	0	0	0	0	0	0	0	0	0	0	0
43	0	0	2	0	0	2	0	0	0	0	0	0	0	0
44	0	0	0	1	0	0	0	0	0	0	0	0	0	0
45	3	0	0	0	0	0	0	0	0	0	0	0	0	0
46	2	3	2	0	1	1	0	0	0	2	0	0	0	0
47	5	5	5	3	0	0	0	0	0	0	0	0	0	0
48	2	3	7	5	5	2	0	0	0	1	0	0	0	0
49	0	0	0	0	0	0	0	0	0	0	0	0	0	0
50	2	4	5	7	3	3	0	0	1	2	0	0	0	0
51	2	0	0	0	0	0	0	0	0	0	0	0	0	0
52	0	2	2	2	1	0	0	0	1	2	1	0	0	0
53	0	2	2	4	2	1	2	0	0	2	0	0	0	0
54	4	4	5	5	5	2	1	0	0	1	0	0	0	0
55	2	2	3	3	0	1	0	0	1	2	0	0	0	0
56	2	6	9	6	2	0	0	0	1	1	0	0	0	0
57	3	6	9	6	3	2	0	0	0	0	0	0	0	0
58	2	5	5	3	3	0	0	0	0	1	0	0	0	0
59	3	4	5	4	2	1	0	0	0	2	0	0	0	0
60	1	4	3	2	2	2	1	0	0	1	0	0	0	0
61	3	5	5	3	2	1	1	0	0	1	0	0	0	0
62	1	1	1	0	0	0	0	0	0	0	0	0	0	0
63	3	5	4	4	2	2	0	0	1	1	0	0	0	0
64	0	0	1	1	0	0	0	0	0	1	0	0	0	0
65	1	1	3	2	1	2	0	0	1	3	0	0	0	0
66	1	0	0	0	0	0	0	0	0	0	0	0	0	0
67	0	4	3	3	0	1	0	0	0	1	0	0	0	0
68	1	3	4	3	3	1	1	0	1	1	0	0	0	0
69	4	2	3	2	1	0	0	0	0	0	0	0	0	0
70	0	0	2	0	0	0	0	0	0	1	0	0	0	0
71	1	2	4	3	1	0	1	0	0	1	0	0	0	0
72	2	3	3	4	1	1	1	0	0	1	0	0	0	0
73	3	4	4	2	1	1	0	0	0	1	0	0	0	0
74	0	0	0	0	0	0	0	0	0	0	0	0	0	0
75	3	3	2	4	3	2	0	0	1	1	0	0	0	0
76	3	4	3	3	2	3	1	0	0	1	0	0	0	0
77	2	2	2	2	1	1	0	0	0	1	0	0	0	0
78	6	4	3	3	3	1	1	0	1	3	1	0	0	0
79	5	3	5	4	2	1	1	0	0	4	1	0	0	0
80	2	5	6	5	2	2	0	0	1	5	1	0	0	0
81	0	1	0	0	0	0	0	0	0	2	0	0	0	0
82	3	3	5	3	4	1	1	0	1	5	1	0	0	0
83	2	1	3	4	2	1	1	0	1	4	0	0	0	0
84	2	1	1	1	0	0	0	0	0	0	0	0	0	0
85	1	4	4	3	3	1	1	0	0	2	1	0	0	0
86	2	1	2	4	2	2	0	0	1	2	0	0	0	0
87	1	2	2	3	3	2	0	0	1	6	1	0	0	0
88	1	5	5	5	4	3	0	0	1	4	1	0	0	0
89	1	1	1	3	0	0	1	0	0	3	2	0	0	0
90	3	7	8	3	2	0	0	0	0	1	0	0	0	0
91	0	0	0	0	0	0	0	0	0	0	0	0	0	0
92	0	0	1	0	0	0	0	0	0	0	0	0	0	0
93	5	3	2	1	1	2	1	0	0	1	0	0	0	0
94	1	1	0	0	1	0	1	0	0	1	0	0	0	0
95	4	3	7	3	2	1	1	0	1	3	0	0	0	0
96	3	1	3	5	3	1	1	0	1	3	1	0	0	0
97	3	0	0	0	0	0	0	0	0	1	0	0	0	0
98	1	1	4	5	5	2	1	0	0	3	0	0	0	0
99	1	1	1	0	1	0	0	0	0	2	0	0	0	0
100	0	0	0	0	0	0	0	0	0	0	0	0	0	0
101	3	3	6	3	2	1	1	0	1	3	0	0	0	0
102	0	0	0	0	1	0	0	0	0	0	0	0	0	0
103	1	1	0	2	1	0	0	0	0	0	0	0	0	0
104	2	2	2	3	2	1	1	0	1	3	0	0	0	0
105	0	0	0	0	0	0	0	0	0	0	0	0	0	0
106	0	1	1	0	0	0	0	0	0	1	0	0	0	0
107	2	2	3	3	4	1	1	0	0	2	1	0	0	0
108	1	3	5	3	3	1	1	0	1	4	0	0	0	0
109	3	6	5	3	1	1	0	0	0	1	0	0	0	0
110	0	0	2	1	0	0	0	0	0	0	0	0	0	0
111	2	3	5	4	4	1	0	0	1	5	0	0	0	0
112	0	1	0	1	0	1	0	0	0	1	0	0	0	0
113	1	5	4	6	2	1	0	0	0	1	0	0	0	0
114	1	3	5	5	3	2	1	0	1	4	1	0	0	0
115	3	4	3	3	2	0	0	0	1	2	0	0	0	0
116	0	0	0	0	0	0	0	0	0	0	0	0	0	0
117	2	4	4	2	1	0	1	0	0	1	0	0	0	0
118	1	3	4	2	3	0	0	0	1	1	0	0	0	0
119	2	6	2	3	2	1	0	0	1	3	1	0	0	0
120	1	2	1	4	2	1	0	0	0	1	0	0	0	0
121	0	2	1	1	2	1	1	0	0	1	0	0	0	0
122	1	1	1	2	2	1	0	0	0	1	0	0	0	0
123	4	4	4	5	3	2	1	0	0	2	0	0	0	0
124	5	8	5	5	3	3	2	0	0	2	0	0	0	0
125	0	0	0	0	0	0	0	0	0	1	0	0	0	0
126	2	2	3	2	1	1	0	0	0	1	0	0	0	0
127	7	6	8	2	3	3	0	0	1	2	0	0	0	0
128	4	8	7	4	4	2	1	0	1	2	0	0	0	0
129	1	0	0	0	0	0	0	0	0	0	0	0	0	0
130	4	7	7	7	4	1	1	0	1	1	0	0	0	0
131	0	0	0	0	0	0	0	0	0	0	0	0	0	0
132	0	0	0	0	0	0	0	0	0	0	0	0	0	0
133	4	3	2	3	2	1	1	0	0	1	0	0	0	0
134	5	2	3	2	1	0	0	0	0	0	0	0	0	0
135	0	0	0	0	0	0	0	0	0	0	0	0	0	0
136	0	0	0	0	0	0	0	0	0	0	0	0	0	0
137	1	0	2	0	1	0	0	0	0	0	0	0	0	0
138	0	0	1	2	0	0	0	0	0	2	0	0	0	0
139	0	0	1	3	1	1	0	0	1	2	1	0	0	0
140	1	1	0	0	1	1	0	0	0	1	0	0	0	0
141	0	0	0	0	1	2	2	2	1	0	0	2	1	0
142	0	0	1	2	4	4	2	1	0	0	0	2	0	0
143	0	0	2	3	7	7	5	3	1	0	1	3	0	0
144	0	0	0	0	0	0	0	0	0	0	0	0	0	0
145	0	0	1	0	2	2	4	2	1	0	1	4	1	0
146	0	0	5	5	4	4	3	1	0	0	1	1	0	0
147	0	0	0	1	1	2	1	0	0	0	0	1	0	0
148	0	0	0	0	1	0	0	0	0	0	0	0	0	0
149	0	2	0	1	0	0	0	0	0	0	0	0	0	0
150	0	0	0	0	1	0	0	0	0	0	0	0	0	0
151	0	0	0	0	0	0	0	0	0	0	0	0	0	0
152	1	4	5	7	4	3	0	0	1	4	1	0	0	0
153	2	1	4	5	3	1	0	0	1	5	0	0	0	0
154	1	3	4	5	4	1	1	0	1	5	1	0	0	0
155	0	0	1	0	0	0	0	0	0	0	0	0	0	0
156	2	0	0	0	0	0	0	0	0	0	0	0	0	0
157	2	1	1	0	0	0	0	0	0	0	0	0	0	0
158	7	1	1	1	0	0	0	0	0	0	0	0	0	0
159	7	4	1	1	0	0	1	0	0	0	0	0	0	0
160	2	4	4	3	1	0	0	0	0	1	0	0	0	0
161	3	0	1	0	0	0	0	0	0	0	0	0	0	0
162	1	0	1	0	1	1	0	0	0	0	0	0	0	0
163	0	0	0	0	0	0	0	0	0	0	0	0	0	0
164	0	0	0	0	0	0	0	0	0	0	0	0	0	0
165	0	0	0	0	0	0	0	0	0	0	0	0	0	0
166	0	0	0	0	0	0	0	0	0	0	0	0	0	0
167	2	1	1	1	1	0	0	0	0	1	0	0	0	0
168	6	4	1	1	2	1	1	0	1	2	0	0	0	0
169	4	2	1	1	0	0	0	0	0	0	0	0	0	0
170	3	3	4	6	3	1	0	0	1	2	0	0	0	0
171	6	6	7	4	1	1	0	0	0	1	0	0	0	0

Table 3c

Relative abundance of kaolinite-like aluminosilicates (ASK) particles by size bin (nm) for each sample. (Values sum to total abundance in ASK class as shown in Table 2 for each sample).

	Relative abundance of ASK particles (number%)
	Sub									Supra
Sample No	[87, 200)	[200, 300)	[300, 400)	[400, 500)	[500, 600)	[600, 700)	[700, 800)	[800, 900)	[900, 1000)	[1000, 2000)	[2000, 3000)	[3000, 4000)	[4000, 5000)	>=5000
1	0	1	0	0	0	0	0	0	0	1	0	0	0	0
2	0	0	1	0	1	1	0	0	0	1	0	0	0	0
3	0	0	0	0	0	0	0	0	0	0	0	0	0	0
4	1	0	1	1	0	1	0	0	1	2	0	0	0	0
5	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6	0	0	0	0	0	0	0	0	0	0	0	0	0	0
7	0	0	1	1	1	1	0	0	1	3	1	0	0	0
8	0	1	1	0	0	0	1	0	0	0	0	0	0	0
9	0	0	0	0	0	0	0	0	0	0	0	0	0	0
10	0	0	0	0	0	0	0	0	0	0	0	0	0	0
11	0	1	0	1	1	0	0	0	0	0	0	0	0	0
12	0	0	0	1	0	0	0	0	0	1	0	0	0	0
13	1	1	1	0	0	0	0	0	0	0	0	0	0	0
14	0	0	0	0	0	0	0	0	0	1	0	0	0	0
15	1	1	1	0	1	1	0	0	1	2	1	0	0	0
16	0	0	0	0	0	0	0	0	0	1	1	0	0	0
17	1	1	2	1	1	1	0	0	0	2	1	0	0	0
18	0	0	0	0	0	0	0	0	0	1	0	0	0	0
19	1	0	0	3	0	1	1	0	0	2	1	0	0	0
20	0	0	0	0	0	0	0	0	0	0	0	0	0	0
21	0	0	0	0	0	0	0	0	0	1	0	0	0	0
22	0	0	0	0	0	0	0	0	0	0	0	0	0	0
23	2	0	0	2	1	2	1	0	1	3	1	0	0	0
24	0	0	0	4	0	0	0	0	0	0	1	0	0	0
25	1	1	0	0	1	0	0	0	0	1	1	0	0	0
26	0	2	1	1	1	0	0	0	0	0	0	0	0	0
27	1	2	1	2	1	1	1	0	1	2	1	0	0	0
28	1	2	1	1	2	1	0	0	0	3	0	0	0	0
29	1	1	0	0	0	1	0	0	0	1	0	0	0	0
30	0	1	1	1	0	0	1	0	0	0	0	0	0	0
31	0	1	0	1	1	0	0	0	0	0	0	0	0	0
32	0	0	0	0	0	0	0	0	0	0	0	0	0	0
33	0	0	0	0	0	0	0	0	0	0	0	0	0	0
34	0	0	0	0	0	0	0	0	0	0	0	0	0	0
35	0	0	1	0	0	0	0	0	0	0	0	0	0	0
36	0	0	0	0	0	0	0	0	0	0	0	0	0	0
37	0	0	0	0	0	0	0	0	0	0	0	0	0	0
38	1	1	0	0	1	0	0	0	0	1	0	0	0	0
39	0	0	0	0	0	0	0	0	0	0	0	0	0	0
40	0	0	1	0	0	0	0	0	0	1	0	0	0	0
41	0	0	0	0	0	0	0	0	0	0	0	0	0	0
42	0	0	0	0	2	0	0	0	0	0	0	0	0	0
43	0	0	0	0	0	0	0	0	0	0	0	0	0	0
44	0	0	0	0	0	1	1	0	0	0	0	0	0	0
45	0	0	0	0	0	0	0	0	0	0	0	0	0	0
46	0	0	2	0	0	0	1	0	0	1	0	0	0	0
47	0	0	0	0	0	0	0	0	0	0	0	0	0	0
48	0	0	0	1	0	1	0	0	0	2	0	0	0	0
49	0	0	0	0	0	0	0	0	0	1	0	0	0	0
50	0	1	0	0	2	0	0	0	0	2	0	0	0	0
51	0	0	0	0	0	0	0	0	0	0	0	0	0	0
52	0	0	0	0	0	0	0	0	0	2	1	1	0	0
53	0	0	1	1	1	0	0	0	0	2	1	0	0	0
54	0	1	1	1	1	1	0	0	0	1	0	0	0	0
55	0	2	1	1	2	1	0	0	0	3	1	1	0	0
56	0	1	1	1	0	0	0	0	0	1	0	0	0	0
57	1	0	1	1	1	1	0	0	0	1	0	0	0	0
58	1	0	0	1	1	1	0	0	0	1	0	0	0	0
59	1	0	2	1	1	2	1	0	0	2	1	0	0	0
60	1	0	1	1	1	1	0	0	1	2	1	0	0	0
61	0	1	1	1	1	1	0	0	0	1	0	0	0	0
62	0	0	0	0	0	0	0	0	0	0	0	0	0	0
63	0	0	1	1	1	0	0	0	0	1	0	0	0	0
64	0	0	1	1	0	0	0	0	0	1	0	1	0	0
65	1	0	0	1	1	0	1	0	0	4	3	1	0	0
66	0	0	0	0	0	0	0	0	0	0	0	0	0	0
67	0	0	0	0	0	0	0	0	0	1	1	0	0	0
68	1	1	2	1	1	1	1	0	1	3	1	0	0	0
69	0	0	0	0	0	0	0	0	0	0	0	0	0	0
70	0	0	2	0	0	0	0	0	0	3	1	1	0	0
71	0	1	0	0	2	0	0	0	0	2	1	0	0	0
72	0	0	0	0	1	1	0	0	0	1	1	0	0	0
73	0	0	1	1	0	0	0	0	0	1	0	0	0	0
74	0	0	0	0	0	0	0	0	0	0	0	0	0	0
75	1	1	1	0	0	0	0	0	0	2	0	0	0	0
76	0	0	0	0	0	0	0	0	0	1	0	0	0	0
77	0	0	0	0	0	0	0	0	0	0	0	0	0	0
78	0	0	0	0	0	0	0	0	0	0	0	0	0	0
79	0	0	1	1	1	0	0	0	0	0	1	0	0	0
80	0	0	0	1	0	0	0	0	0	1	0	0	0	0
81	0	0	0	0	0	0	0	0	0	1	0	0	0	0
82	0	0	0	0	1	1	0	0	0	1	0	0	0	0
83	0	1	1	0	1	1	0	0	0	2	1	0	0	0
84	0	0	0	0	0	0	0	0	0	0	0	0	0	0
85	0	0	0	0	0	1	0	0	0	0	0	0	0	0
86	0	1	1	0	1	0	1	0	0	2	1	0	0	0
87	0	0	0	0	1	0	0	0	0	1	1	0	0	0
88	0	0	0	1	0	0	0	0	0	0	1	0	0	0
89	0	0	0	0	0	0	0	0	0	1	1	1	0	0
90	1	0	0	0	0	0	0	0	0	0	0	0	0	0
91	0	1	3	1	0	0	0	0	0	1	0	0	0	0
92	1	1	2	0	0	0	1	0	0	0	0	0	0	0
93	1	0	0	0	0	0	0	0	0	1	0	0	0	0
94	0	0	0	0	0	0	0	0	0	0	0	0	0	0
95	2	1	1	1	1	1	1	0	0	2	1	0	0	0
96	0	0	0	1	0	0	0	0	0	1	1	0	0	0
97	0	0	0	0	0	0	0	0	0	0	0	0	0	0
98	1	1	1	1	1	0	1	0	0	2	2	0	0	0
99	0	0	0	0	1	0	0	0	0	0	0	0	0	0
100	0	0	0	0	0	0	0	0	0	0	0	0	0	0
101	1	1	1	2	2	1	0	0	1	4	1	0	0	0
102	0	0	0	0	0	0	0	0	0	0	0	0	0	0
103	1	1	2	1	1	0	0	0	1	1	0	0	0	0
104	0	0	0	0	0	0	0	0	0	2	1	0	0	0
105	0	0	0	0	1	0	0	0	0	0	0	0	0	0
106	0	0	0	0	0	0	0	0	0	0	0	0	0	0
107	0	0	1	0	0	0	0	0	0	1	1	0	0	0
108	0	1	1	1	0	1	1	0	0	3	1	0	0	0
109	2	2	2	2	2	1	0	0	1	7	1	0	0	0
110	0	0	0	0	0	0	0	0	0	0	0	0	0	0
111	1	0	0	1	2	1	0	0	0	2	2	1	0	0
112	0	0	0	0	0	0	0	0	0	0	1	0	0	0
113	0	0	0	0	0	0	0	0	0	0	0	0	0	0
114	0	0	0	1	2	0	0	0	0	3	2	1	0	0
115	2	3	4	5	7	3	1	0	1	7	1	0	0	0
116	3	6	5	5	3	3	1	0	3	14	2	1	0	0
117	0	0	0	0	0	0	1	0	0	0	0	0	0	0
118	0	0	0	0	0	0	0	0	0	0	0	0	0	0
119	1	0	0	1	1	1	0	0	0	1	0	0	0	0
120	0	1	0	1	0	1	0	0	0	0	0	0	0	0
121	0	0	0	0	0	1	0	0	0	0	0	0	0	0
122	1	0	0	0	0	0	1	0	0	0	0	0	0	0
123	0	0	0	0	0	0	0	0	0	0	0	0	0	0
124	0	0	0	0	0	0	0	0	0	0	0	0	0	0
125	0	0	0	0	0	0	0	0	0	0	0	0	0	0
126	0	0	0	0	0	0	0	0	0	0	0	0	0	0
127	0	0	0	0	0	0	0	0	0	0	0	0	0	0
128	0	0	0	0	0	0	0	0	0	0	0	0	0	0
129	0	0	0	0	0	0	0	0	0	0	0	0	0	0
130	0	1	0	0	0	0	0	0	0	0	0	0	0	0
131	0	0	0	0	0	0	0	0	0	0	0	0	0	0
132	0	0	0	0	0	0	0	0	0	0	0	0	0	0
133	0	0	0	0	0	0	0	0	0	0	0	0	0	0
134	0	0	0	0	0	0	0	0	0	0	0	0	0	0
135	1	1	2	1	1	1	0	0	0	1	0	0	0	0
136	0	0	0	0	0	0	0	0	0	0	0	0	0	0
137	0	0	0	0	0	0	0	0	0	0	0	0	0	0
138	0	0	0	0	0	0	0	0	0	0	0	0	0	0
139	0	0	0	1	0	0	0	0	0	0	0	0	0	0
140	0	0	0	0	0	0	0	0	0	0	0	0	0	0
141	0	0	0	0	0	0	0	0	0	0	0	0	1	1
142	0	0	0	0	0	0	0	0	0	0	0	0	0	1
143	0	0	0	0	1	0	0	1	1	0	0	0	1	1
144	0	0	0	8	14	12	10	4	3	2	0	1	6	1
145	0	0	0	0	0	0	0	2	1	0	0	0	4	3
146	0	0	0	3	2	2	3	4	2	1	0	1	4	1
147	0	0	0	0	0	0	0	0	0	0	0	0	0	0
148	0	0	0	0	0	0	0	0	0	0	0	0	0	0
149	0	1	0	0	0	0	0	0	0	0	0	0	0	0
150	0	0	0	0	0	0	0	0	0	0	0	0	0	0
151	0	1	1	0	0	0	0	0	0	0	0	0	0	0
152	0	0	0	1	0	1	0	0	0	1	1	0	0	0
153	0	0	0	0	0	0	0	0	0	2	1	0	0	0
154	0	0	0	0	1	0	0	0	0	2	1	0	0	0
155	0	0	1	0	0	0	0	0	0	1	0	0	0	0
156	0	0	0	0	0	0	0	0	0	0	0	0	0	0
157	0	0	0	0	0	0	0	0	0	0	0	0	0	0
158	0	0	0	0	0	0	0	0	0	0	0	0	0	0
159	0	0	0	0	0	0	0	0	0	0	0	0	0	0
160	0	0	0	0	0	0	0	0	0	0	0	0	0	0
161	0	0	0	0	0	0	0	0	0	0	0	0	0	0
162	0	0	0	0	0	0	0	0	0	0	0	0	0	0
163	0	0	0	0	0	0	0	0	0	0	0	0	0	0
164	0	0	0	0	0	0	0	0	0	0	0	0	0	0
165	0	0	0	0	0	0	0	0	0	0	0	0	0	0
166	0	0	0	0	0	0	0	0	0	0	0	0	0	0
167	1	1	0	0	0	0	0	0	0	0	0	0	0	0
168	1	0	1	1	0	0	1	0	0	1	0	0	0	0
169	3	1	1	1	1	1	0	0	1	3	1	0	0	0
170	1	1	0	0	0	1	0	0	0	1	0	0	0	0
171	1	0	1	1	1	1	0	0	0	1	0	0	0	0

Table 3d

Relative abundance of other aluminosilicates (ASO) particles by size bin (nm) for each sample. (Values sum to total abundance in ASO class as shown in Table 2 for each sample).

	Relative abundance of ASO particles (number%)
	Sub									Supra
Sample No	[87, 200)	[200, 300)	[300, 400)	[400, 500)	[500, 600)	[600, 700)	[700, 800)	[800, 900)	[900, 1000)	[1000, 2000)	[2000, 3000)	[3000, 4000)	[4000, 5000)	>=5000
1	0	1	0	0	1	1	1	0	0	2	1	0	0	0
2	0	2	1	1	4	2	1	0	0	3	1	0	0	0
3	0	0	0	0	0	0	0	0	0	1	0	0	0	0
4	1	2	1	3	2	1	2	0	1	6	1	0	0	0
5	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6	0	0	0	0	0	0	0	0	0	0	0	0	0	0
7	1	2	3	5	3	5	3	0	2	10	2	1	0	0
8	5	5	4	5	5	1	1	0	0	1	0	0	0	0
9	2	1	2	3	2	1	0	0	1	3	0	0	0	0
10	5	9	4	3	4	3	1	0	2	8	2	1	0	0
11	4	7	3	3	4	1	0	0	0	2	1	1	0	0
12	1	1	0	1	2	1	0	0	0	2	1	0	0	0
13	12	15	11	14	7	6	3	0	2	9	2	1	0	0
14	3	0	0	3	3	0	0	0	0	2	1	0	0	0
15	2	3	3	5	3	2	2	0	1	7	1	0	0	0
16	0	0	0	0	3	0	3	0	0	2	1	0	0	0
17	8	5	8	9	9	3	3	0	1	6	2	1	0	0
18	0	0	0	0	0	0	0	0	0	1	0	0	0	0
19	5	4	5	4	3	1	3	0	1	4	2	1	0	0
20	0	0	0	0	0	0	0	0	0	0	0	0	0	0
21	0	1	1	2	3	1	1	0	1	3	1	0	0	0
22	0	0	0	0	0	0	0	0	0	0	0	0	0	0
23	3	2	2	1	5	2	2	0	1	5	1	0	0	0
24	0	0	4	0	0	0	0	4	0	2	1	1	1	1
25	1	5	1	1	1	1	0	0	0	2	1	1	0	0
26	4	1	1	1	1	0	1	0	0	1	1	0	0	0
27	1	1	1	1	2	0	0	0	0	2	1	0	0	0
28	1	2	1	2	1	1	1	0	1	4	2	0	0	0
29	2	3	1	1	1	1	1	0	0	2	1	1	1	1
30	0	0	1	0	1	1	0	0	0	1	0	1	0	0
31	1	1	1	2	1	0	0	0	0	1	1	0	0	0
32	1	1	0	1	0	0	1	0	0	1	0	0	0	0
33	2	0	2	1	1	1	0	0	0	2	0	0	0	0
34	0	0	0	0	0	0	0	0	0	0	0	0	0	0
35	1	0	0	1	0	1	0	0	0	2	0	0	0	0
36	0	0	2	1	0	0	0	0	0	0	0	0	0	0
37	0	0	0	1	1	0	0	0	0	0	0	0	0	0
38	0	0	0	1	1	0	0	0	0	0	0	0	0	0
39	0	0	0	0	0	0	0	0	0	0	0	0	0	0
40	0	0	0	1	0	1	0	0	0	0	0	0	0	0
41	0	0	0	1	3	0	0	0	0	1	0	0	0	0
42	0	0	0	0	0	0	0	0	0	0	0	0	0	0
43	0	2	0	0	0	0	0	0	0	0	0	0	0	0
44	0	0	1	1	0	0	0	0	0	0	0	0	0	0
45	0	0	0	0	0	0	0	0	0	0	0	0	0	0
46	0	0	0	0	0	0	0	1	0	1	0	0	0	0
47	0	0	0	0	0	0	0	0	0	0	0	0	0	0
48	1	1	1	1	1	2	0	0	0	3	1	0	0	0
49	0	0	0	0	0	0	0	0	0	3	2	1	0	0
50	1	1	1	2	3	4	2	0	1	4	1	0	0	0
51	0	0	0	0	0	0	0	0	0	0	0	0	0	0
52	0	1	1	2	2	2	0	0	1	4	4	2	1	0
53	2	2	2	1	3	0	1	0	1	5	2	1	1	0
54	2	2	2	3	2	3	1	0	1	2	1	1	0	0
55	3	6	4	8	2	4	1	0	1	6	3	1	1	1
56	1	2	4	4	3	3	1	0	1	3	1	0	0	0
57	2	2	2	4	3	4	1	0	1	5	1	0	0	0
58	0	2	3	4	4	1	0	0	1	4	1	0	0	0
59	3	2	4	5	3	2	1	0	1	7	2	1	0	0
60	1	7	5	6	2	6	2	0	1	7	2	1	1	0
61	3	4	5	5	6	4	1	0	1	4	2	1	0	0
62	0	1	1	0	2	0	1	0	0	1	0	0	0	0
63	0	0	1	2	2	1	0	0	0	2	0	0	0	0
64	1	3	7	4	0	7	0	0	1	6	4	2	2	1
65	2	2	1	2	2	2	1	0	0	13	5	3	2	2
66	0	0	1	0	1	0	0	0	0	1	1	1	0	0
67	0	0	0	1	0	0	1	0	0	3	2	1	1	0
68	3	3	8	5	3	3	2	0	1	6	2	1	0	0
69	0	1	1	1	1	0	0	0	0	2	0	0	0	0
70	3	0	3	0	5	0	0	0	2	12	7	5	2	1
71	0	1	1	1	0	3	0	0	0	3	2	1	1	0
72	1	2	1	2	2	2	1	0	1	6	1	0	0	0
73	4	4	4	4	5	3	1	1	2	12	3	2	1	0
74	4	4	6	4	3	3	2	0	1	6	1	0	0	0
75	2	1	2	1	3	1	1	0	1	6	1	0	0	0
76	0	1	2	2	2	2	0	0	1	3	0	0	0	0
77	0	0	0	1	0	0	0	0	0	0	0	0	0	0
78	3	0	0	0	0	0	0	0	0	5	1	0	0	0
79	1	2	2	3	2	2	1	0	0	2	2	1	0	0
80	0	1	1	4	2	0	2	0	0	2	1	0	0	0
81	0	0	0	0	0	0	0	0	0	1	0	0	0	0
82	1	1	2	2	2	3	2	0	0	3	2	1	0	0
83	1	2	4	2	3	5	1	0	1	8	4	2	0	1
84	0	0	0	1	0	0	0	0	0	0	0	0	0	0
85	0	0	2	2	0	1	0	0	0	0	0	0	0	0
86	0	1	1	0	5	0	0	1	1	7	2	1	0	0
87	1	1	1	1	1	3	1	1	0	2	2	1	0	0
88	1	0	3	7	3	0	1	0	0	3	3	2	1	1
89	3	3	1	3	3	1	2	0	0	1	2	2	1	0
90	3	1	3	1	1	0	0	0	0	1	0	0	0	0
91	11	13	14	12	9	7	2	1	2	13	4	1	0	0
92	13	12	13	15	11	7	3	0	1	8	2	1	0	0
93	3	3	3	3	2	0	0	0	0	3	1	0	0	0
94	0	0	0	0	0	0	0	0	0	0	0	0	0	0
95	3	3	1	4	3	3	1	0	0	3	1	1	0	0
96	3	2	2	0	2	2	0	0	0	1	1	1	0	0
97	0	0	0	0	0	0	0	0	0	0	0	0	0	0
98	1	1	1	1	2	0	1	0	0	2	1	0	0	0
99	1	1	0	1	1	1	0	0	0	1	1	0	0	0
100	0	0	0	0	0	0	0	0	0	0	0	0	0	0
101	3	4	3	6	5	6	2	0	1	6	2	0	0	0
102	1	0	0	0	0	0	0	0	0	0	0	0	0	0
103	7	15	14	10	9	6	2	0	2	9	2	1	0	0
104	1	2	2	3	3	3	1	0	1	6	3	1	0	0
105	11	15	16	16	12	9	3	0	2	11	3	1	0	0
106	0	1	1	0	0	0	0	0	0	0	0	0	0	0
107	1	1	2	2	2	1	0	0	0	0	1	1	0	0
108	1	0	0	2	2	2	1	0	0	3	1	0	0	0
109	2	6	5	6	7	4	2	0	2	7	2	0	0	0
110	0	0	0	0	0	0	0	0	0	0	0	0	0	0
111	1	2	0	0	2	4	2	0	0	2	1	0	0	0
112	0	0	0	0	0	0	0	0	0	0	0	0	0	0
113	0	0	0	1	1	0	0	0	0	0	0	0	0	0
114	0	0	0	0	1	2	0	0	0	2	1	0	0	0
115	2	3	4	3	5	5	2	0	1	4	1	0	0	0
116	5	5	7	6	7	5	1	0	2	8	2	1	0	0
117	0	0	0	0	0	1	0	0	0	0	0	0	0	0
118	0	0	0	0	1	0	0	0	0	0	0	0	0	0
119	2	1	2	2	0	2	0	0	0	1	0	0	0	0
120	0	0	0	0	0	0	0	0	0	0	0	0	0	0
121	0	0	0	1	0	1	0	0	0	0	0	0	0	0
122	0	0	0	0	0	0	0	0	0	0	0	0	0	0
123	3	2	3	3	3	2	0	0	0	1	0	0	0	0
124	1	3	2	3	2	2	1	0	0	2	0	0	0	0
125	0	0	1	0	0	0	0	0	0	0	0	0	0	0
126	8	9	6	8	7	3	2	0	2	18	6	2	1	0
127	3	5	4	5	5	3	1	0	0	3	1	0	0	0
128	3	3	5	2	1	2	0	0	1	4	0	0	0	0
129	9	15	13	15	12	8	2	1	2	9	2	0	0	0
130	3	4	3	2	3	2	1	0	1	2	0	0	0	0
131	0	0	0	0	0	0	0	0	0	0	0	0	0	0
132	0	0	0	0	0	0	0	0	0	0	0	0	0	0
133	2	3	0	2	2	1	1	0	0	2	1	0	0	0
134	10	13	9	9	8	5	1	0	1	5	1	0	0	0
135	8	9	13	13	12	7	3	0	2	13	3	1	0	0
136	2	4	2	4	5	3	1	0	0	0	0	0	0	0
137	1	0	0	0	0	0	0	0	0	0	0	0	0	0
138	0	0	0	0	0	0	0	0	0	0	0	0	0	0
139	0	0	0	0	0	1	0	0	0	1	1	0	0	0
140	1	0	1	0	0	1	0	0	0	2	1	1	0	0
141	0	0	0	0	1	1	0	0	1	1	0	0	0	2
142	0	0	0	0	0	1	0	1	1	1	0	0	0	1
143	0	0	0	0	1	0	2	1	1	2	2	0	0	2
144	0	0	0	0	5	10	7	6	4	2	0	0	1	2
145	0	0	0	0	1	1	1	2	1	1	1	0	1	6
146	0	0	0	0	3	3	5	6	5	3	1	0	1	4
147	0	0	0	0	0	0	0	0	0	0	0	0	0	0
148	0	0	0	0	0	0	0	0	0	0	0	0	0	0
149	9	11	13	9	9	8	3	1	3	15	3	1	1	0
150	0	0	0	0	0	0	0	0	0	0	0	0	0	0
151	13	13	8	14	14	9	4	0	2	10	3	1	0	0
152	2	1	2	4	2	3	1	0	0	2	2	1	0	0
153	1	1	1	1	1	3	2	0	0	5	1	1	0	0
154	1	2	0	1	1	1	0	0	1	4	3	1	0	0
155	10	13	12	12	10	8	3	0	2	14	4	1	1	0
156	0	0	0	0	0	0	0	0	0	0	0	0	0	0
157	0	0	0	0	0	0	0	0	0	0	0	0	0	0
158	0	0	0	0	0	0	0	0	0	0	0	0	0	0
159	0	0	0	0	0	0	0	0	0	0	0	0	0	0
160	0	1	0	0	0	0	0	0	0	0	0	0	0	0
161	2	1	0	0	0	0	0	0	0	0	0	0	0	0
162	1	2	0	1	0	0	0	0	0	1	0	0	0	0
163	0	0	0	0	0	0	0	0	0	0	0	0	0	0
164	2	2	4	2	4	1	1	0	0	0	0	0	0	0
165	0	0	0	0	0	0	0	0	0	0	0	0	0	0
166	0	0	0	0	0	0	0	0	0	0	0	0	0	0
167	4	3	3	2	2	1	1	0	0	0	0	0	0	0
168	7	7	5	5	6	4	3	0	1	6	2	1	0	0
169	14	12	8	7	8	5	2	0	1	8	2	1	0	0
170	4	3	3	5	5	3	1	0	0	2	0	0	0	0
171	7	5	3	3	4	3	1	0	1	2	0	0	0	0

Table 3e

Relative abundance of other silicate (SLO) particles by size bin (nm) for each sample. (Values sum to total abundance in SLO class as shown in Table 2 for each sample).

	Relative abundance of SLO particles (number%)
	Sub									Supra
Sample No	[87, 200)	[200, 300)	[300, 400)	[400, 500)	[500, 600)	[600, 700)	[700, 800)	[800, 900)	[900, 1000)	[1000, 2000)	[2000, 3000)	[3000, 4000)	[4000, 5000)	>=5000
1	0	0	0	0	0	0	0	0	0	0	0	0	0	0
2	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3	0	0	0	0	0	0	0	0	0	0	0	0	0	0
4	0	0	0	0	0	0	0	0	0	0	0	0	0	0
5	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6	0	0	0	0	0	0	0	0	0	0	0	0	0	0
7	0	0	0	0	0	0	0	0	0	0	0	0	0	0
8	0	0	0	0	0	0	0	0	0	0	0	0	0	0
9	0	1	0	0	0	0	0	0	0	0	0	0	0	0
10	1	1	0	0	0	0	0	0	0	0	0	0	0	0
11	0	0	0	1	0	0	0	0	0	0	0	0	0	0
12	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13	0	0	0	0	0	0	0	0	0	0	0	0	0	0
14	0	0	0	0	0	0	0	0	0	0	0	0	0	0
15	0	0	0	0	0	0	0	0	0	0	0	0	0	0
16	0	0	0	0	0	0	0	0	0	0	0	0	0	0
17	0	0	0	0	0	0	0	0	0	0	0	0	0	0
18	0	0	0	0	0	0	0	0	0	0	0	0	0	0
19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20	0	0	0	0	0	0	0	0	0	0	0	0	0	0
21	0	0	0	0	0	0	0	0	0	0	0	0	0	0
22	0	0	0	0	0	0	0	0	0	0	0	0	0	0
23	0	0	0	0	0	0	0	0	0	0	0	0	0	0
24	0	0	0	0	0	0	0	0	0	0	0	0	0	0
25	0	0	0	0	0	0	0	0	0	0	0	0	0	0
26	0	0	0	0	0	0	0	0	0	0	0	0	0	0
27	0	0	0	0	0	0	0	0	0	0	0	0	0	0
28	0	0	0	0	0	0	0	0	0	0	0	0	0	0
29	0	0	0	0	0	1	0	0	0	0	0	0	0	0
30	0	0	0	0	0	0	0	0	0	0	0	0	0	0
31	0	1	0	0	0	0	0	0	0	0	0	0	0	0
32	0	0	0	0	0	0	0	0	0	0	0	0	0	0
33	0	0	0	0	0	0	0	0	0	0	0	0	0	0
34	0	0	0	0	1	0	0	0	0	0	0	0	0	0
35	0	0	0	0	0	0	0	0	0	0	0	0	0	0
36	0	0	0	0	0	0	0	0	0	0	0	0	0	0
37	0	0	0	0	0	0	0	0	0	0	0	0	0	0
38	0	0	0	0	0	0	0	0	0	0	0	0	0	0
39	0	0	0	0	0	0	0	0	0	0	0	0	0	0
40	0	0	0	0	0	0	0	0	0	0	0	0	0	0
41	0	0	0	0	0	0	0	0	0	0	0	0	0	0
42	0	0	0	0	0	0	0	0	0	0	0	0	0	0
43	0	0	0	0	0	0	0	0	0	0	0	0	0	0
44	1	0	0	0	0	0	0	0	0	0	0	0	0	0
45	0	0	0	0	0	0	0	0	0	0	0	0	0	0
46	0	0	0	0	0	0	0	0	0	0	0	0	0	0
47	0	0	0	3	0	0	0	0	0	0	0	0	0	0
48	0	0	0	0	0	0	0	0	0	0	0	0	0	0
49	0	0	0	0	0	0	0	0	0	0	0	0	0	0
50	0	0	0	0	0	0	0	0	0	0	0	0	0	0
51	0	0	0	0	0	0	0	0	0	0	0	0	0	0
52	0	0	0	0	0	0	0	0	0	0	0	0	0	0
53	0	0	0	0	0	0	0	0	0	0	0	0	0	0
54	0	0	0	0	0	0	0	0	0	0	0	0	0	0
55	0	0	0	0	0	0	0	0	0	0	0	0	0	0
56	0	0	0	0	0	0	0	0	0	0	0	0	0	0
57	0	0	0	0	0	0	0	0	0	0	0	0	0	0
58	0	0	0	0	0	0	0	0	0	0	0	0	0	0
59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60	0	0	0	0	0	0	0	0	0	0	0	0	0	0
61	0	0	0	0	0	0	0	0	0	0	0	0	0	0
62	0	0	0	0	0	0	0	0	0	0	0	0	0	0
63	0	0	0	0	0	0	0	0	0	0	0	0	0	0
64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65	0	0	0	0	0	0	0	0	0	0	0	0	0	0
66	0	0	0	0	0	0	0	0	0	0	0	0	0	0
67	0	0	0	0	0	0	0	0	0	0	0	0	0	0
68	0	0	0	0	0	0	0	0	0	0	0	0	0	0
69	0	0	0	0	0	0	0	0	0	0	0	0	0	0
70	0	0	0	0	0	0	0	0	0	0	0	0	0	0
71	0	0	0	0	0	0	0	0	0	0	0	0	0	0
72	0	0	0	0	0	0	0	0	0	0	0	0	0	0
73	0	0	0	0	0	0	0	0	0	0	0	0	0	0
74	0	0	0	0	0	0	0	0	0	0	0	0	0	0
75	0	0	0	0	0	0	0	0	0	0	0	0	0	0
76	0	0	0	0	0	0	0	0	0	0	0	0	0	0
77	0	0	0	0	0	0	0	0	0	0	0	0	0	0
78	0	0	0	0	0	0	0	0	0	0	0	0	0	0
79	0	0	0	0	0	0	0	0	0	0	0	0	0	0
80	0	0	0	0	0	0	0	0	0	0	0	0	0	0
81	0	0	0	0	0	0	0	0	0	0	0	0	0	0
82	0	0	0	0	0	0	0	0	0	0	0	0	0	0
83	0	0	0	0	0	0	0	0	0	0	0	0	0	0
84	0	0	0	0	0	0	0	0	0	0	0	0	0	0
85	0	1	0	0	0	0	0	0	0	0	0	0	0	0
86	0	0	0	0	0	0	0	0	0	0	0	0	0	0
87	0	0	0	0	0	0	0	0	0	0	0	0	0	0
88	0	0	0	0	0	0	0	0	0	0	0	0	0	0
89	0	0	0	0	0	0	0	0	0	0	0	0	0	0
90	0	0	0	0	0	0	0	0	0	0	0	0	0	0
91	0	0	0	0	0	0	0	0	0	0	0	0	0	0
92	0	0	0	0	0	0	0	0	0	0	0	0	0	0
93	0	0	0	0	0	0	0	0	0	0	0	0	0	0
94	0	0	0	0	0	0	0	0	0	0	0	0	0	0
95	0	0	0	0	0	0	0	0	0	0	0	0	0	0
96	0	0	0	0	0	0	0	0	0	0	0	0	0	0
97	0	0	0	0	0	0	0	0	0	0	0	0	0	0
98	0	0	0	0	0	0	0	0	0	0	0	0	0	0
99	0	0	0	0	0	0	0	0	0	0	0	0	0	0
100	0	0	0	0	0	0	0	0	0	0	0	0	0	0
101	0	0	0	0	0	0	0	0	0	0	0	0	0	0
102	0	0	0	0	0	0	0	0	0	0	0	0	0	0
103	0	0	0	0	0	0	0	0	0	0	0	0	0	0
104	0	0	0	0	0	0	0	0	0	0	0	0	0	0
105	0	0	0	0	0	0	0	0	0	0	0	0	0	0
106	0	0	0	0	0	0	0	0	0	0	0	0	0	0
107	0	0	0	0	0	0	0	0	0	0	0	0	0	0
108	0	0	0	0	0	0	0	0	0	0	0	0	0	0
109	0	0	0	0	0	0	0	0	0	0	0	0	0	0
110	0	0	0	0	0	0	0	0	0	0	0	0	0	0
111	0	0	0	0	0	0	0	0	0	0	0	0	0	0
112	0	0	0	0	0	0	0	0	0	0	0	0	0	0
113	0	0	0	0	0	0	0	0	0	0	0	0	0	0
114	0	0	0	0	0	0	0	0	0	0	0	0	0	0
115	0	0	0	0	0	0	0	0	0	0	0	0	0	0
116	0	0	0	0	0	0	0	0	0	0	0	0	0	0
117	0	0	0	0	0	0	0	0	0	0	0	0	0	0
118	0	0	0	0	0	0	0	0	0	0	0	0	0	0
119	0	0	0	0	0	0	0	0	0	0	0	0	0	0
120	0	0	0	0	0	0	0	0	0	0	0	0	0	0
121	0	0	0	0	0	0	0	0	0	0	0	0	0	0
122	0	0	0	0	0	0	0	0	0	0	0	0	0	0
123	0	0	0	0	0	0	0	0	0	0	0	0	0	0
124	0	1	0	0	0	0	0	0	0	0	0	0	0	0
125	0	0	0	0	0	0	0	0	0	0	0	0	0	0
126	0	0	0	0	0	0	0	0	0	0	0	0	0	0
127	0	0	0	0	0	0	0	0	0	0	0	0	0	0
128	0	0	0	0	0	0	0	0	0	0	0	0	0	0
129	0	0	0	0	0	0	0	0	0	0	0	0	0	0
130	0	0	0	0	0	0	0	0	0	0	0	0	0	0
131	0	0	0	0	0	0	0	0	0	0	0	0	0	0
132	0	0	0	0	0	0	0	0	0	0	0	0	0	0
133	0	0	0	0	0	0	0	0	0	0	0	0	0	0
134	0	0	0	0	0	0	0	0	0	0	0	0	0	0
135	0	0	0	0	0	0	0	0	0	0	0	0	0	0
136	2	1	1	3	1	1	0	0	0	0	0	0	0	0
137	0	0	0	0	0	0	0	0	0	0	0	0	0	0
138	0	0	0	0	0	0	0	0	0	0	0	0	0	0
139	0	0	0	0	0	0	0	0	0	0	0	0	0	0
140	0	0	0	0	0	0	0	0	0	0	0	0	0	0
141	0	0	0	0	0	0	0	0	0	0	0	0	0	0
142	0	0	0	0	0	0	0	0	0	0	0	0	0	0
143	0	0	0	0	0	0	0	0	0	0	0	0	0	0
144	0	0	0	0	0	0	0	0	0	0	0	0	0	0
145	1	0	0	0	0	0	0	0	0	0	0	0	0	0
146	0	0	0	0	0	0	0	0	0	0	0	0	0	0
147	0	0	0	0	0	0	0	0	0	0	0	0	0	0
148	0	0	0	0	0	0	0	0	0	0	0	0	0	0
149	0	0	0	0	0	0	0	0	0	0	0	0	0	0
150	0	0	0	0	0	0	0	0	0	0	0	0	0	0
151	0	0	0	0	0	0	0	0	0	0	0	0	0	0
152	0	0	0	0	0	0	0	0	0	0	0	0	0	0
153	0	0	0	0	0	0	0	0	0	0	0	0	0	0
154	0	0	0	0	0	0	0	0	0	0	0	0	0	0
155	0	0	0	0	0	0	0	0	0	0	0	0	0	0
156	0	0	0	0	0	0	0	0	0	0	0	0	0	0
157	0	0	0	0	0	0	0	0	0	0	0	0	0	0
158	0	0	0	0	0	0	0	0	0	0	0	0	0	0
159	0	0	0	0	0	0	0	0	0	0	0	0	0	0
160	0	0	0	0	0	0	0	0	0	0	0	0	0	0
161	0	0	0	0	0	0	0	0	0	0	0	0	0	0
162	0	0	0	0	0	0	0	0	0	0	0	0	0	0
163	0	0	0	0	0	0	0	0	0	0	0	0	0	0
164	1	0	0	0	0	0	0	0	0	0	0	0	0	0
165	0	0	0	0	0	0	0	0	0	0	0	0	0	0
166	0	0	0	0	0	0	0	0	0	0	0	0	0	0
167	0	0	0	0	0	0	0	0	0	0	0	0	0	0
168	0	0	0	0	0	0	0	0	0	0	0	0	0	0
169	0	0	0	0	0	0	0	0	0	0	0	0	0	0
170	0	0	0	0	0	0	0	0	0	0	0	0	0	0
171	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Table 3f

Relative abundance of silica (S) particles by size bin (nm) for each sample. (Values sum to total abundance in S class as shown in Table 2 for each sample).

	Relative abundance of S particles (number%)
	Sub									Supra
Sample No	[87, 200)	[200, 300)	[300, 400)	[400, 500)	[500, 600)	[600, 700)	[700, 800)	[800, 900)	[900, 1000)	[1000, 2000)	[2000, 3000)	[3000, 4000)	[4000, 5000)	>=5000
1	0	0	0	1	0	0	0	0	0	1	0	0	0	0
2	1	0	1	1	0	1	0	0	0	1	0	0	0	0
3	0	0	0	0	0	0	0	0	0	0	0	0	0	0
4	0	0	0	1	1	1	0	0	0	1	0	0	0	0
5	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6	0	0	0	0	0	0	0	0	0	0	0	0	0	0
7	0	1	2	1	1	1	0	0	0	1	0	0	0	0
8	0	0	1	1	0	0	0	0	0	0	0	0	0	0
9	9	12	11	11	9	8	4	0	1	5	1	0	0	0
10	11	7	9	8	4	3	1	0	1	5	1	0	0	0
11	4	4	3	4	6	3	0	0	0	1	1	0	0	0
12	0	0	1	1	0	1	0	0	0	0	0	0	0	0
13	1	1	2	2	1	0	1	0	0	0	0	0	0	0
14	0	3	0	0	0	0	0	0	0	1	1	0	0	0
15	1	2	1	1	0	0	1	0	0	2	0	0	0	0
16	0	0	0	0	0	0	0	0	0	1	0	0	0	0
17	1	1	1	1	0	0	0	0	0	1	0	0	0	0
18	0	0	2	0	0	0	0	0	0	0	0	0	0	0
19	0	1	1	0	1	0	0	0	0	2	1	0	0	0
20	0	0	0	0	0	0	0	0	0	0	0	0	0	0
21	2	2	4	6	3	4	1	0	1	3	1	0	0	0
22	0	0	0	0	0	0	0	0	0	1	0	0	0	0
23	0	0	0	0	1	0	1	0	0	0	0	0	0	0
24	0	0	0	0	0	0	0	0	0	1	0	0	0	0
25	0	0	0	1	0	0	0	0	0	0	0	0	0	0
26	1	1	0	0	0	0	0	0	0	0	0	0	0	0
27	0	0	0	0	0	0	0	0	0	1	0	0	0	0
28	0	0	0	0	0	0	0	0	0	1	0	0	0	0
29	1	0	0	1	0	0	0	0	0	0	0	0	0	0
30	0	1	0	0	0	1	0	0	0	0	0	0	0	0
31	0	0	1	1	0	0	0	0	0	1	0	0	0	0
32	0	0	0	0	0	0	0	0	0	0	0	0	0	0
33	0	0	0	1	0	0	0	0	0	0	0	0	0	0
34	0	0	0	0	0	0	0	0	0	0	0	0	0	0
35	0	0	0	0	0	0	0	0	0	0	0	0	0	0
36	0	0	0	0	0	0	0	0	0	0	0	0	0	0
37	0	0	0	0	0	0	0	0	0	0	0	0	0	0
38	0	1	0	0	0	0	0	0	0	0	0	0	0	0
39	0	0	0	0	0	0	0	0	0	0	0	0	0	0
40	0	0	0	1	0	0	0	0	0	0	0	0	0	0
41	0	0	0	0	0	0	0	0	0	0	0	0	0	0
42	0	0	0	0	0	2	0	0	0	0	0	0	0	0
43	2	0	0	0	0	0	0	0	0	0	0	0	0	0
44	0	0	1	0	0	0	0	0	0	0	0	0	0	0
45	0	0	0	0	0	0	0	0	0	0	0	0	0	0
46	0	0	0	0	0	0	0	0	0	0	0	0	0	0
47	0	0	0	0	0	0	0	0	0	0	0	0	0	0
48	0	1	1	0	1	0	0	0	0	1	0	0	0	0
49	0	0	0	5	0	0	0	0	0	1	0	0	0	0
50	0	0	1	1	1	0	0	0	0	1	0	0	0	0
51	0	0	0	0	0	0	0	0	0	0	0	0	0	0
52	0	0	0	1	0	0	0	0	0	1	0	0	0	0
53	0	0	0	0	0	0	1	0	0	1	1	0	0	0
54	1	1	2	0	1	1	0	0	0	1	0	0	0	0
55	1	2	1	2	1	0	0	0	0	2	0	0	0	0
56	0	0	1	1	0	0	1	0	0	0	0	0	0	0
57	1	1	1	4	2	0	0	0	0	2	0	0	0	0
58	0	1	1	0	0	0	0	0	0	1	0	0	0	0
59	0	0	1	1	1	1	0	0	0	1	0	0	0	0
60	0	0	0	0	0	1	0	0	0	0	0	0	0	0
61	0	0	1	2	0	0	0	0	0	1	0	0	0	0
62	0	0	0	0	0	0	0	0	0	0	0	0	0	0
63	1	1	5	5	3	4	1	0	1	2	0	0	0	0
64	1	6	1	3	1	3	3	0	0	2	1	0	0	0
65	0	0	1	0	0	0	0	0	0	2	1	1	0	0
66	0	0	0	0	0	1	0	0	0	0	0	0	0	0
67	0	0	0	0	0	0	0	0	0	1	1	0	0	0
68	1	2	3	1	0	2	0	0	0	1	1	0	0	0
69	4	9	11	14	10	6	3	0	1	5	1	0	0	0
70	0	3	0	0	0	0	0	0	0	3	1	0	0	0
71	0	2	0	4	3	2	1	0	0	2	0	0	0	0
72	1	3	3	3	5	2	0	0	1	5	1	0	0	0
73	2	2	3	3	3	1	1	0	0	3	1	0	0	0
74	9	8	6	12	9	6	3	0	1	9	2	1	0	0
75	2	3	4	3	3	3	3	0	1	3	0	0	0	0
76	2	4	4	4	5	2	1	0	1	4	0	0	0	0
77	0	0	0	0	0	0	0	0	0	0	0	0	0	0
78	1	1	0	1	1	0	0	0	0	0	0	0	0	0
79	0	1	0	1	1	1	1	0	0	1	0	0	0	0
80	0	0	1	1	1	1	1	0	0	1	0	0	0	0
81	0	0	0	0	0	0	0	0	0	0	0	0	0	0
82	0	0	0	0	0	0	0	0	0	0	0	0	0	0
83	1	0	1	0	1	1	0	0	0	1	0	0	0	0
84	0	0	0	1	1	0	0	0	0	0	0	0	0	0
85	0	0	0	0	1	0	0	0	0	0	0	0	0	0
86	0	2	1	0	0	0	0	0	0	2	0	0	0	0
87	0	0	0	1	1	0	1	0	0	1	0	0	0	0
88	0	1	0	0	0	1	0	0	0	1	1	0	0	0
89	0	0	0	1	1	1	1	0	0	1	0	0	0	0
90	0	0	0	0	0	0	0	0	0	0	0	0	0	0
91	0	0	0	1	1	0	0	0	0	0	0	0	0	0
92	0	0	2	1	1	0	0	0	0	0	0	0	0	0
93	0	0	0	0	0	0	0	0	0	0	0	0	0	0
94	0	0	0	0	0	0	0	0	0	0	0	0	0	0
95	0	0	1	1	0	1	1	0	0	1	0	0	0	0
96	0	0	1	0	0	1	0	0	0	1	0	0	0	0
97	0	0	0	0	0	0	0	0	0	0	0	0	0	0
98	0	0	0	0	1	0	0	0	0	1	0	0	0	0
99	0	0	0	0	0	0	0	0	0	0	0	0	0	0
100	0	0	0	0	0	0	0	0	0	0	0	0	0	0
101	0	0	0	0	2	1	0	0	0	1	0	0	0	0
102	0	0	0	0	0	0	0	0	0	0	0	0	0	0
103	0	1	1	1	1	0	0	0	0	0	0	0	0	0
104	0	0	0	0	0	0	0	0	0	1	0	0	0	0
105	0	0	0	0	0	0	0	0	0	0	0	0	0	0
106	0	0	0	0	0	0	0	0	0	0	0	0	0	0
107	0	0	0	0	0	0	0	0	0	1	0	0	0	0
108	0	0	0	1	0	1	0	0	0	1	0	0	0	0
109	0	1	0	0	0	1	0	0	0	0	0	0	0	0
110	0	0	0	0	0	0	0	0	0	0	0	0	0	0
111	0	0	0	0	1	1	0	0	0	1	0	0	0	0
112	0	0	0	0	0	0	0	0	0	0	0	0	0	0
113	0	0	0	0	0	0	0	0	0	0	0	0	0	0
114	0	0	0	0	0	0	0	1	0	0	0	0	0	0
115	0	0	1	0	1	0	0	0	0	0	0	0	0	0
116	0	1	1	1	1	1	1	0	0	0	0	0	0	0
117	0	1	0	2	1	1	0	0	0	2	0	0	0	0
118	0	0	0	0	0	0	0	0	0	0	0	0	0	0
119	0	0	0	1	0	0	0	0	0	0	0	0	0	0
120	0	0	1	1	0	0	0	0	0	0	0	0	0	0
121	0	0	0	0	0	0	0	0	0	0	0	0	0	0
122	0	0	0	0	0	0	0	0	0	0	0	0	0	0
123	0	0	1	0	0	0	0	0	0	0	0	0	0	0
124	1	2	0	1	1	1	1	0	0	0	0	0	0	0
125	0	0	0	0	0	0	0	0	0	0	0	0	0	0
126	0	1	2	1	1	2	0	0	0	2	0	0	0	0
127	1	1	1	2	1	0	0	0	0	0	0	0	0	0
128	0	1	1	1	1	1	0	0	0	0	0	0	0	0
129	1	1	0	1	0	0	0	0	0	0	0	0	0	0
130	0	0	0	0	0	0	0	0	0	0	0	0	0	0
131	0	0	0	0	0	0	0	0	0	0	0	0	0	0
132	0	0	0	0	0	0	0	0	0	0	0	0	0	0
133	0	0	0	0	1	0	0	0	0	0	0	0	0	0
134	0	0	0	1	1	0	0	0	0	0	0	0	0	0
135	2	1	2	1	1	1	0	0	0	0	0	0	0	0
136	0	0	0	0	0	0	0	0	0	0	0	0	0	0
137	0	0	0	0	0	0	0	0	0	0	0	0	0	0
138	0	0	0	0	0	0	0	0	0	0	0	0	0	0
139	0	0	0	0	0	0	0	0	0	0	0	0	0	0
140	0	0	0	0	0	0	0	0	0	0	0	0	0	0
141	0	0	0	0	0	0	0	0	0	0	1	0	0	0
142	0	0	0	0	0	0	0	1	0	1	1	1	0	0
143	0	0	0	0	0	0	0	0	1	0	0	0	0	0
144	0	0	0	0	0	0	0	0	0	0	0	0	0	0
145	0	0	0	0	0	0	0	0	0	0	0	0	0	0
146	0	0	0	0	0	0	0	1	0	0	0	0	0	0
147	0	0	0	0	0	0	0	0	0	1	0	0	0	0
148	1	0	0	0	0	0	0	0	0	0	0	0	0	0
149	1	2	2	1	1	1	0	0	0	0	0	0	0	0
150	0	0	0	0	0	0	0	0	0	0	0	0	0	0
151	1	0	0	1	1	1	0	0	0	0	0	0	0	0
152	0	0	1	0	0	1	1	0	0	1	0	0	0	0
153	0	0	0	1	1	1	0	0	0	1	0	0	0	0
154	0	0	1	0	0	0	0	0	0	1	0	0	0	0
155	1	1	0	0	1	2	1	0	0	0	0	0	0	0
156	0	0	0	0	0	0	0	0	0	0	0	0	0	0
157	0	0	0	0	0	0	0	0	0	0	0	0	0	0
158	0	0	0	0	0	0	0	0	0	0	0	0	0	0
159	0	0	0	0	0	0	0	0	0	0	0	0	0	0
160	0	0	0	0	0	0	0	0	0	0	0	0	0	0
161	2	0	1	0	1	0	0	0	0	0	0	0	0	0
162	16	21	13	8	10	4	2	0	1	6	1	0	0	0
163	0	0	0	0	0	0	0	0	0	0	0	0	0	0
164	0	0	0	0	0	0	0	0	0	0	0	0	0	0
165	0	0	0	0	0	0	0	0	0	0	0	0	0	0
166	0	0	0	0	0	0	0	0	0	0	0	0	0	0
167	2	1	1	0	0	0	0	0	0	0	0	0	0	0
168	2	1	1	0	1	0	0	0	0	0	0	0	0	0
169	1	1	1	1	1	1	0	0	0	0	0	0	0	0
170	0	1	1	1	0	0	0	0	0	0	0	0	0	0
171	0	1	0	1	1	0	0	0	0	0	0	0	0	0

Table 3g

3g. Relative abundance of other heavy mineral (M) particles by size bin (nm) for each sample. (Values sum to total abundance in M class as shown in Table 2 for each sample).

	Relative abundance of M particles (number%)
	Sub									Supra
Sample No	[87, 200)	[200, 300)	[300, 400)	[400, 500)	[500, 600)	[600, 700)	[700, 800)	[800, 900)	[900, 1000)	[1000, 2000)	[2000, 3000)	[3000, 4000)	[4000, 5000)	>=5000
1	0	0	0	0	0	1	0	0	0	0	0	0	0	0
2	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3	0	0	0	0	0	0	0	0	0	0	0	0	0	0
4	0	0	0	0	0	0	0	0	0	0	0	0	0	0
5	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6	0	0	0	0	0	0	0	0	0	0	0	0	0	0
7	0	0	0	0	0	0	0	0	0	0	0	0	0	0
8	0	0	0	0	0	0	0	0	0	0	0	0	0	0
9	0	0	0	0	0	0	0	0	0	0	0	0	0	0
10	0	0	0	0	0	0	0	0	0	0	0	0	0	0
11	1	0	0	0	0	0	0	0	0	0	0	0	0	0
12	0	0	0	1	0	0	0	0	0	0	0	0	0	0
13	0	0	0	0	0	0	0	0	0	0	0	0	0	0
14	0	0	0	0	0	0	0	0	0	0	0	0	0	0
15	0	0	0	0	0	0	0	0	0	0	0	0	0	0
16	0	3	0	0	0	3	0	0	0	0	0	0	0	0
17	0	0	0	0	0	0	0	0	0	0	0	0	0	0
18	2	0	0	0	0	0	0	0	0	0	0	0	0	0
19	0	0	0	0	1	0	0	0	0	0	0	0	0	0
20	0	0	0	0	0	0	0	0	0	0	0	0	0	0
21	0	0	0	0	0	0	0	0	0	0	0	0	0	0
22	0	0	0	0	0	0	0	0	0	0	0	0	0	0
23	0	0	0	0	0	0	0	0	0	0	0	0	0	0
24	0	0	0	0	0	0	0	0	0	0	0	0	0	0
25	0	0	0	1	0	0	0	0	0	0	0	0	0	0
26	0	0	0	0	0	0	0	0	0	0	0	0	0	0
27	0	0	0	0	0	0	0	0	0	0	0	0	0	0
28	0	0	0	0	0	0	0	0	0	0	0	0	0	0
29	0	0	1	0	1	0	0	0	0	0	0	0	0	0
30	0	0	0	0	0	0	0	0	0	0	0	0	0	0
31	0	0	0	0	0	0	0	0	0	0	0	0	0	0
32	0	0	1	1	1	0	0	0	0	0	0	0	0	0
33	0	0	1	1	1	0	0	0	0	0	0	0	0	0
34	0	0	0	0	1	0	0	0	0	0	0	0	0	0
35	0	0	0	0	1	0	0	0	0	0	0	0	0	0
36	0	0	0	0	0	0	0	0	0	0	0	0	0	0
37	0	0	0	0	0	0	0	0	0	0	0	0	0	0
38	0	0	0	0	0	0	0	0	0	0	0	0	0	0
39	0	0	0	0	0	0	0	0	0	0	0	0	0	0
40	0	1	0	0	1	0	0	0	0	0	0	0	0	0
41	0	0	0	0	0	0	0	0	0	0	0	0	0	0
42	0	0	0	0	2	0	0	0	0	0	0	0	0	0
43	0	0	0	0	0	0	0	0	0	0	0	0	0	0
44	0	0	0	0	0	0	0	0	0	0	0	0	0	0
45	0	0	0	0	0	0	0	0	0	0	0	0	0	0
46	0	0	0	0	0	0	0	0	0	0	0	0	0	0
47	0	0	0	3	0	0	0	0	0	0	0	0	0	0
48	0	2	1	0	1	0	0	0	0	0	0	0	0	0
49	0	0	0	0	0	0	0	0	0	0	0	0	0	0
50	0	0	0	0	0	0	0	0	0	0	0	0	0	0
51	0	0	0	0	0	0	0	0	0	0	0	0	0	0
52	0	0	0	0	0	0	1	0	0	1	0	0	0	0
53	0	0	0	0	0	1	0	0	0	0	0	0	0	0
54	0	0	0	0	0	0	0	0	0	0	0	0	0	0
55	0	0	0	0	0	0	0	0	0	0	0	0	0	0
56	0	0	0	0	0	0	0	0	0	0	0	0	0	0
57	0	0	0	0	0	0	0	0	0	0	0	0	0	0
58	0	0	0	0	0	0	0	0	0	0	0	0	0	0
59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60	0	0	0	0	0	0	0	0	0	0	0	0	0	0
61	0	0	0	0	0	0	0	0	0	0	0	0	0	0
62	0	0	0	0	0	0	0	0	0	0	0	0	0	0
63	0	0	0	0	0	0	0	0	0	0	0	0	0	0
64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65	0	0	0	1	0	0	0	0	0	0	0	0	0	0
66	0	0	0	0	0	0	0	0	0	0	0	0	0	0
67	0	0	0	0	0	0	0	0	0	0	0	0	0	0
68	0	0	0	0	0	0	0	0	0	0	0	0	0	0
69	0	0	0	0	0	0	0	0	0	0	0	0	0	0
70	0	0	0	0	0	0	0	0	0	0	0	0	0	0
71	0	0	0	0	0	0	0	0	0	0	0	0	0	0
72	0	0	0	0	0	0	0	0	0	0	0	0	0	0
73	0	0	0	0	0	0	0	0	0	0	0	0	0	0
74	0	0	0	0	0	0	0	0	0	0	0	0	0	0
75	0	0	0	0	0	0	0	0	0	0	0	0	0	0
76	0	0	0	0	0	0	0	0	0	0	0	0	0	0
77	0	0	0	0	0	0	0	0	0	0	0	0	0	0
78	0	0	0	1	0	1	0	0	0	1	0	0	0	0
79	0	0	0	0	1	1	0	0	0	0	0	0	0	0
80	0	1	0	1	0	0	0	0	0	0	0	0	0	0
81	0	1	0	0	0	0	0	0	0	0	0	0	0	0
82	0	0	0	0	0	0	0	0	0	0	0	0	0	0
83	0	0	0	0	0	0	0	0	0	0	0	0	0	0
84	0	0	0	0	0	0	0	0	0	0	0	0	0	0
85	0	1	1	1	0	0	0	0	0	0	0	0	0	0
86	0	0	0	0	0	0	0	0	0	0	0	0	0	0
87	0	0	0	0	1	0	0	0	0	0	0	0	0	0
88	0	0	0	0	1	1	0	0	0	0	0	0	0	0
89	0	0	0	1	0	0	0	0	0	0	0	0	0	0
90	0	0	1	1	0	1	0	0	0	0	0	0	0	0
91	0	0	0	0	0	0	0	0	0	0	0	0	0	0
92	0	0	0	0	0	0	0	0	0	0	0	0	0	0
93	1	0	1	1	0	0	0	0	0	0	0	0	0	0
94	0	0	0	0	1	0	0	0	0	0	0	0	0	0
95	0	0	0	0	0	0	0	0	0	0	0	0	0	0
96	0	0	0	0	0	0	0	0	0	0	0	0	0	0
97	0	0	3	0	0	0	0	0	0	0	0	0	0	0
98	0	0	0	0	0	0	0	0	0	0	0	0	0	0
99	0	0	0	0	0	0	0	0	0	0	0	0	0	0
100	0	0	0	0	0	0	0	0	0	0	0	0	0	0
101	0	0	1	0	1	0	0	0	0	0	0	0	0	0
102	0	0	0	0	0	0	0	0	0	0	0	0	0	0
103	0	0	0	0	0	0	0	0	0	0	0	0	0	0
104	1	0	1	1	1	0	0	0	0	0	0	0	0	0
105	0	0	0	0	0	0	0	0	0	0	0	0	0	0
106	0	0	0	0	0	0	0	0	0	0	0	0	0	0
107	1	0	0	0	0	0	0	0	0	0	0	0	0	0
108	0	0	0	0	0	0	0	0	0	0	0	0	0	0
109	0	0	0	0	0	0	0	0	0	0	0	0	0	0
110	0	0	0	0	0	0	0	0	0	0	0	0	0	0
111	0	0	0	0	1	0	0	0	0	0	0	0	0	0
112	0	0	0	0	0	0	0	0	0	0	0	0	0	0
113	0	1	0	0	0	0	0	0	0	0	0	0	0	0
114	0	0	0	1	0	1	0	0	0	0	0	0	0	0
115	0	0	0	0	0	1	0	0	0	0	0	0	0	0
116	0	0	0	0	0	0	0	0	0	0	0	0	0	0
117	0	0	0	0	0	0	0	0	0	0	0	0	0	0
118	0	0	0	0	0	0	0	0	0	0	0	0	0	0
119	2	1	2	4	0	2	0	0	0	0	0	0	0	0
120	0	0	2	0	0	1	0	0	0	0	0	0	0	0
121	0	0	0	0	0	0	0	0	0	0	0	0	0	0
122	0	0	0	0	0	0	0	0	0	0	0	0	0	0
123	0	0	0	1	0	0	0	0	0	0	0	0	0	0
124	1	0	0	0	0	0	0	0	0	0	0	0	0	0
125	0	0	0	0	0	0	0	0	0	0	0	0	0	0
126	0	0	0	0	0	0	0	0	0	0	0	0	0	0
127	0	0	0	0	0	0	0	0	0	0	0	0	0	0
128	0	0	0	0	0	0	1	0	0	0	0	0	0	0
129	0	0	0	0	0	0	0	0	0	0	0	0	0	0
130	0	0	0	0	0	0	0	0	0	0	0	0	0	0
131	0	0	0	0	0	0	0	0	0	0	0	0	0	0
132	0	0	0	0	0	0	0	0	0	0	0	0	0	0
133	0	0	0	0	0	0	0	0	0	0	0	0	0	0
134	0	0	0	0	0	0	0	0	0	0	0	0	0	0
135	0	0	0	0	0	0	0	0	0	0	0	0	0	0
136	0	0	0	0	0	0	0	0	0	0	0	0	0	0
137	0	0	1	0	0	0	0	0	0	0	0	0	0	0
138	0	1	0	0	0	0	0	0	0	0	0	0	0	0
139	0	0	0	0	0	1	0	0	0	0	0	0	0	0
140	0	0	0	0	0	0	0	0	0	0	0	0	0	0
141	0	0	0	0	0	0	0	0	0	0	0	0	0	0
142	0	0	0	0	0	0	0	0	0	0	0	0	0	0
143	0	0	0	0	0	0	0	0	0	0	0	0	0	0
144	0	0	0	0	0	0	0	0	0	0	0	0	0	0
145	0	0	0	0	0	0	0	0	0	0	1	0	0	0
146	0	0	0	0	0	0	0	0	0	0	0	0	0	0
147	1	0	0	0	0	0	0	0	0	0	0	0	0	0
148	0	0	0	0	0	0	0	0	0	0	0	0	0	0
149	0	0	0	0	0	0	0	0	0	0	0	0	0	0
150	0	0	0	0	0	0	0	0	0	0	0	0	0	0
151	0	0	0	0	0	0	0	0	0	0	0	0	0	0
152	0	1	1	2	1	0	0	0	0	0	0	0	0	0
153	0	0	0	0	0	0	0	0	0	0	0	0	0	0
154	0	0	0	0	1	0	0	0	0	0	0	0	0	0
155	0	0	0	0	0	0	0	0	0	0	0	0	0	0
156	0	0	0	0	0	0	0	0	0	0	0	0	0	0
157	0	0	0	0	0	0	0	0	0	0	0	0	0	0
158	0	0	0	0	0	0	0	0	0	0	0	0	0	0
159	0	0	0	0	0	0	0	0	0	0	0	0	0	0
160	0	0	0	1	0	0	0	0	0	0	0	0	0	0
161	0	0	0	0	0	0	0	0	0	0	0	0	0	0
162	0	0	0	0	0	0	0	0	0	0	0	0	0	0
163	0	0	0	0	0	0	0	0	0	0	0	0	0	0
164	0	0	0	0	0	0	0	0	0	0	0	0	0	0
165	0	0	0	0	0	0	0	0	0	0	0	0	0	0
166	0	0	0	0	0	0	0	0	0	0	0	0	0	0
167	0	0	0	0	0	0	0	0	0	0	0	0	0	0
168	0	1	0	0	1	1	0	0	0	0	0	0	0	0
169	0	0	0	0	0	0	0	0	0	0	0	0	0	0
170	0	0	0	0	0	1	0	0	0	0	0	0	0	0
171	0	0	0	1	0	0	0	0	0	0	0	0	0	0

Table 3h

3h. Relative abundance of carbonate (CB) particles by size bin (nm) for each sample. (Values sum to total abundance in CB class as shown in Table 2 for each sample).

	Relative abundance of CB particles (number%)
	Sub									Supra
Sample No	[87, 200)	[200, 300)	[300, 400)	[400, 500)	[500, 600)	[600, 700)	[700, 800)	[800, 900)	[900, 1000)	[1000, 2000)	[2000, 3000)	[3000, 4000)	[4000, 5000)	>=5000
1	0	0	0	0	1	1	0	0	0	3	1	0	0	0
2	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3	0	0	0	0	4	9	0	0	3	12	1	0	0	0
4	0	0	0	0	0	1	0	0	0	1	0	0	0	0
5	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6	0	0	0	0	0	0	0	0	0	2	1	0	0	0
7	0	0	0	0	1	0	0	0	0	0	0	0	0	0
8	3	4	3	4	3	2	0	0	0	0	0	0	0	0
9	0	0	0	0	0	0	0	0	0	0	0	0	0	0
10	0	0	0	0	0	0	0	0	0	0	0	0	0	0
11	1	0	0	0	0	0	0	0	0	0	0	0	0	0
12	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13	0	0	0	0	0	0	0	0	0	0	0	0	0	0
14	0	0	0	3	0	3	0	0	1	6	0	0	0	0
15	0	0	0	0	0	0	0	0	0	0	0	0	0	0
16	3	3	0	0	3	0	0	0	1	3	0	0	0	0
17	0	0	0	0	0	0	0	0	0	0	0	0	0	0
18	0	0	0	0	0	0	0	0	0	0	0	0	0	0
19	0	0	0	0	1	0	0	0	0	1	0	0	0	0
20	0	0	0	0	5	5	0	0	1	9	1	0	0	0
21	0	0	0	0	0	0	0	0	0	0	0	0	0	0
22	0	0	0	0	0	0	0	0	0	0	0	0	0	0
23	0	0	0	0	0	0	0	0	0	1	0	0	0	0
24	0	0	4	4	0	4	4	0	1	4	2	1	0	0
25	0	0	1	4	0	3	0	0	0	8	4	1	0	0
26	2	3	4	7	8	4	3	1	1	10	5	2	1	0
27	0	0	0	1	0	1	0	0	0	2	1	0	0	0
28	0	1	1	1	2	1	0	0	0	3	1	1	0	0
29	2	2	4	3	5	3	3	1	1	9	2	1	0	0
30	2	3	3	4	7	5	1	1	1	8	2	0	0	0
31	2	4	4	5	2	3	1	0	2	14	8	3	2	0
32	7	10	7	12	9	4	4	0	2	12	2	1	0	0
33	3	3	5	4	4	2	0	0	0	3	1	1	0	0
34	6	10	8	15	12	8	3	0	3	14	3	1	0	0
35	1	0	1	1	1	1	0	0	1	4	1	0	0	0
36	6	14	11	8	9	9	2	0	1	6	4	3	2	1
37	1	4	9	11	11	11	4	1	4	20	4	1	0	0
38	3	3	4	5	4	1	1	0	0	1	1	0	0	0
39	3	5	4	7	9	4	1	0	2	8	5	3	2	2
40	1	1	1	2	6	2	0	0	1	7	2	0	0	0
41	1	3	0	0	3	0	0	1	1	5	3	2	2	1
42	0	2	0	0	0	0	0	0	1	3	1	0	0	0
43	0	4	0	0	0	0	0	0	0	2	1	0	0	0
44	0	0	0	0	0	0	0	0	0	2	1	0	0	0
45	0	0	0	6	0	3	0	0	0	2	1	0	0	0
46	0	0	0	0	1	1	0	0	0	3	1	0	0	0
47	0	0	5	5	5	3	3	0	0	3	1	1	0	0
48	0	0	0	0	0	1	0	0	0	1	0	0	0	0
49	0	0	11	0	0	0	0	0	1	3	2	1	0	0
50	0	0	0	0	0	0	0	0	0	0	0	0	0	0
51	2	0	0	0	4	0	0	0	0	3	1	0	0	0
52	0	0	1	2	2	2	0	0	1	14	5	1	0	0
53	0	1	0	2	1	1	2	0	0	2	1	0	0	0
54	0	1	0	1	0	0	0	0	0	1	1	0	0	0
55	1	1	1	1	0	0	0	0	0	1	0	0	0	0
56	1	0	1	2	1	1	1	0	1	3	1	0	0	0
57	0	0	0	0	0	0	0	0	0	0	0	0	0	0
58	1	1	1	0	1	0	0	0	0	4	1	0	0	0
59	0	0	0	0	0	0	0	0	0	1	1	0	0	0
60	0	1	1	0	1	0	0	0	0	1	0	0	0	0
61	0	0	0	1	1	0	0	0	0	1	0	0	0	0
62	3	8	10	14	11	6	3	0	3	11	2	0	0	0
63	0	0	0	0	0	0	0	0	0	0	0	0	0	0
64	0	3	1	0	1	0	0	0	0	2	2	2	1	0
65	0	0	0	1	0	1	0	0	0	2	0	0	0	0
66	0	0	0	0	0	0	0	0	0	0	0	0	0	0
67	0	0	0	3	0	0	0	1	0	2	1	1	0	0
68	0	0	0	0	0	0	0	0	0	0	0	0	0	0
69	0	0	0	0	0	0	0	0	0	0	0	0	0	0
70	2	0	0	0	0	0	0	0	0	4	2	2	1	0
71	0	0	0	0	0	0	0	0	0	1	1	0	0	0
72	0	0	0	0	0	0	0	0	0	1	0	0	0	0
73	0	0	0	0	0	0	0	0	0	0	0	0	0	0
74	0	0	0	0	0	0	0	0	0	0	0	0	0	0
75	0	0	0	0	0	0	0	0	0	0	0	0	0	0
76	0	0	0	0	0	0	0	0	0	0	0	0	0	0
77	0	0	0	0	0	0	0	0	0	0	0	0	0	0
78	0	0	0	0	1	0	0	1	0	1	0	0	0	0
79	0	0	0	0	0	0	0	0	0	0	0	0	0	0
80	0	0	0	0	0	0	0	0	0	0	0	0	0	0
81	0	0	1	1	0	0	0	0	0	1	0	0	0	0
82	0	0	0	0	0	0	0	0	0	0	0	0	0	0
83	0	0	0	1	0	0	0	0	0	1	0	0	0	0
84	0	0	0	0	0	1	0	0	0	1	1	0	0	0
85	0	0	0	0	1	1	0	0	0	2	1	0	0	0
86	0	0	0	0	1	0	0	0	0	1	0	0	0	0
87	0	0	0	0	0	1	0	0	0	1	0	0	0	0
88	0	0	1	0	1	0	0	0	0	1	0	0	0	0
89	1	1	1	1	1	1	0	0	0	3	1	0	0	0
90	0	0	1	1	1	1	0	0	0	1	0	0	0	0
91	0	0	0	0	0	0	0	0	0	0	0	0	0	0
92	0	0	0	0	0	0	0	0	0	0	0	0	0	0
93	0	0	0	0	0	0	0	0	0	0	0	0	0	0
94	0	0	0	0	0	0	0	0	0	0	0	0	0	0
95	0	0	0	0	0	0	0	0	0	0	0	0	0	0
96	1	0	0	0	0	0	0	0	0	1	1	0	0	0
97	0	0	0	0	0	0	0	0	0	4	2	0	0	0
98	0	0	0	0	0	0	0	0	0	0	0	0	0	0
99	0	1	0	0	1	0	0	0	0	3	2	0	0	0
100	0	0	0	0	0	0	0	0	0	0	0	0	0	0
101	0	0	0	0	0	0	0	0	0	0	0	0	0	0
102	0	0	0	0	0	0	0	0	0	0	0	0	0	0
103	0	0	0	0	0	0	0	0	0	0	0	0	0	0
104	0	0	0	0	0	1	0	0	0	0	0	0	0	0
105	0	0	0	0	0	0	0	0	0	0	0	0	0	0
106	0	0	0	0	0	0	0	0	0	1	1	0	0	0
107	0	0	0	0	0	1	1	0	0	0	0	0	0	0
108	0	0	0	0	0	0	0	0	0	0	0	0	0	0
109	0	0	0	0	0	0	0	0	0	0	0	0	0	0
110	0	0	0	0	0	0	0	0	0	1	1	0	0	0
111	0	0	0	0	0	0	0	0	0	1	1	0	0	0
112	0	0	0	0	0	0	0	0	0	1	1	0	0	0
113	0	2	3	1	2	2	4	0	0	8	4	1	0	0
114	0	0	0	1	1	1	1	0	0	1	1	0	0	0
115	0	0	0	0	0	0	0	0	0	0	0	0	0	0
116	0	0	0	0	0	0	0	0	0	0	0	0	0	0
117	2	0	0	1	2	1	2	0	0	4	1	0	0	0
118	1	1	2	3	4	5	1	0	1	9	2	2	1	0
119	0	0	0	0	0	1	0	0	0	0	0	0	0	0
120	0	0	0	0	0	1	0	0	0	0	0	0	0	0
121	0	0	0	0	0	0	0	0	0	0	0	0	0	0
122	0	0	0	0	0	0	0	0	0	0	0	0	0	0
123	0	1	1	2	1	1	1	0	0	1	0	0	0	0
124	1	1	1	1	1	0	0	0	0	1	0	0	0	0
125	1	0	0	1	1	0	0	0	0	1	1	0	0	0
126	0	0	0	0	0	0	0	0	0	0	0	0	0	0
127	0	0	0	0	0	0	0	0	0	0	0	0	0	0
128	0	0	0	0	0	0	0	0	0	0	0	0	0	0
129	0	1	1	0	1	0	1	0	0	0	0	0	0	0
130	1	1	0	0	0	0	0	0	0	0	0	0	0	0
131	0	0	0	0	0	0	0	0	0	0	0	0	0	0
132	0	0	0	0	0	0	0	0	0	0	0	0	0	0
133	0	0	0	0	0	0	0	0	0	1	0	0	0	0
134	2	4	3	3	1	1	1	0	0	1	0	0	0	0
135	0	0	0	0	0	0	0	0	0	0	0	0	0	0
136	1	2	0	1	1	0	0	0	1	3	1	0	0	0
137	0	0	0	0	0	0	0	0	0	1	0	0	0	0
138	0	0	1	2	3	1	2	0	1	7	6	1	1	1
139	0	0	0	0	0	0	0	0	0	0	0	0	0	0
140	0	0	0	0	0	0	0	0	0	1	1	0	0	0
141	0	0	0	0	0	0	0	0	0	0	0	0	0	0
142	0	0	0	0	0	0	0	0	0	0	0	0	0	0
143	0	0	0	0	0	0	0	0	0	0	0	0	0	0
144	0	0	0	0	0	0	0	0	0	0	0	0	0	0
145	0	0	0	0	0	0	0	0	0	0	0	0	0	0
146	0	0	0	0	0	0	0	0	0	0	0	0	0	0
147	0	0	0	0	0	0	0	0	0	0	0	0	0	0
148	0	0	0	0	0	0	0	0	0	0	0	0	0	0
149	0	0	0	0	0	0	0	0	0	0	0	0	0	0
150	0	0	0	0	0	0	0	0	0	0	0	0	0	0
151	0	0	0	0	0	0	0	0	0	0	0	0	0	0
152	0	1	0	0	0	0	0	0	0	0	0	0	0	0
153	0	0	0	0	0	0	0	0	0	1	0	0	0	0
154	0	0	0	0	1	0	0	0	0	3	1	0	0	0
155	0	0	0	0	0	0	0	0	0	0	0	0	0	0
156	0	0	0	1	0	0	0	0	0	0	0	0	0	0
157	5	1	2	2	2	1	1	0	0	1	0	0	0	0
158	0	1	1	1	0	0	0	0	0	1	0	0	0	0
159	5	2	3	2	5	3	1	0	1	6	1	1	0	0
160	4	7	8	12	10	6	2	0	2	10	3	1	0	0
161	0	1	0	0	0	0	0	0	0	0	0	0	0	0
162	0	0	0	0	0	0	0	0	0	0	0	0	0	0
163	0	0	0	0	0	0	0	0	0	0	0	0	0	0
164	5	7	12	11	12	7	2	0	1	6	0	0	0	0
165	0	0	0	0	0	0	0	0	0	0	0	0	0	0
166	0	0	0	0	0	0	0	0	0	0	0	0	0	0
167	1	1	1	0	0	0	0	0	0	1	0	0	0	0
168	1	0	0	0	0	0	0	0	0	0	0	0	0	0
169	0	0	0	0	0	0	0	0	0	0	0	0	0	0
170	0	0	0	0	0	0	0	0	0	0	0	0	0	0
171	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Table 3i

Relative abundance of other (O) particles by size bin (nm) for each sample. (Values sum to total abundance in O class as shown in Table 2 for each sample).

	Relative abundance of O particles (number%)
	Sub									Supra
Sample No	[87, 200)	[200, 300)	[300, 400)	[400, 500)	[500, 600)	[600, 700)	[700, 800)	[800, 900)	[900, 1000)	[1000, 2000)	[2000, 3000)	[3000, 4000)	[4000, 5000)	>=5000
1	0	0	1	0	0	0	0	0	0	0	0	0	0	0
2	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3	0	0	0	0	0	0	0	0	0	0	0	0	0	0
4	0	0	0	0	0	0	0	0	0	0	0	0	0	0
5	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6	0	0	0	0	0	0	0	0	0	0	0	0	0	0
7	0	0	0	0	0	0	0	0	0	0	0	0	0	0
8	0	2	1	0	1	1	0	0	0	0	0	0	0	0
9	0	0	0	0	0	0	0	0	0	0	0	0	0	0
10	0	0	0	0	0	0	0	0	0	0	0	0	0	0
11	0	0	0	0	0	0	0	0	0	0	0	0	0	0
12	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13	0	0	0	0	0	0	0	0	0	0	0	0	0	0
14	0	0	0	0	0	0	0	0	0	0	0	0	0	0
15	0	0	0	0	0	0	0	0	0	0	0	0	0	0
16	0	0	0	0	0	0	0	0	0	0	0	0	0	0
17	0	0	0	0	0	0	0	0	0	0	0	0	0	0
18	0	0	0	0	0	0	0	0	0	0	0	0	0	0
19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20	0	0	0	0	0	0	0	0	0	0	0	0	0	0
21	0	0	0	0	0	0	0	0	0	0	0	0	0	0
22	0	0	0	0	0	0	0	0	0	0	0	0	0	0
23	0	0	0	0	0	0	0	0	0	0	0	0	0	0
24	0	0	0	0	0	0	0	0	0	0	0	0	0	0
25	0	0	0	3	0	0	0	0	0	0	0	0	0	0
26	0	0	0	0	1	0	0	0	0	0	0	0	0	0
27	0	0	0	0	0	0	0	0	0	0	0	0	0	0
28	0	0	0	0	0	0	0	0	0	0	0	0	0	0
29	0	0	0	0	0	0	1	1	0	0	0	0	0	0
30	0	0	0	0	1	0	0	0	0	0	0	0	0	0
31	0	0	1	1	0	1	0	0	0	0	1	1	0	0
32	0	2	2	2	4	1	1	1	0	0	2	1	0	0
33	0	0	0	0	0	0	0	0	0	0	0	0	0	0
34	0	0	3	2	1	1	0	0	0	0	0	0	0	0
35	0	0	0	0	0	0	0	0	0	0	0	0	0	0
36	0	0	0	2	0	0	1	0	0	0	0	0	0	0
37	0	0	0	0	0	0	0	0	0	0	1	0	0	0
38	0	0	0	0	0	0	0	1	0	0	0	0	0	0
39	0	0	0	0	0	0	0	0	0	0	0	0	0	0
40	0	0	0	0	0	0	0	0	0	0	0	0	0	0
41	0	0	0	0	0	0	0	0	0	0	0	0	0	0
42	0	0	0	0	0	0	0	0	0	0	0	0	0	0
43	0	0	0	0	0	0	0	0	0	0	0	0	0	0
44	0	0	0	0	0	0	0	0	0	0	0	0	0	0
45	0	0	0	0	0	0	0	0	0	0	0	0	0	0
46	0	0	0	0	0	0	0	0	0	0	0	0	0	0
47	0	0	0	0	0	0	0	0	0	0	0	0	0	0
48	0	0	0	0	0	0	0	0	0	0	0	0	0	0
49	0	0	0	0	0	0	0	0	0	0	0	0	0	0
50	0	0	0	0	0	0	0	0	0	0	0	0	0	0
51	0	0	0	0	0	0	0	0	0	0	0	0	0	0
52	0	0	0	0	0	0	0	0	0	0	0	0	0	0
53	0	0	0	0	0	0	0	0	0	0	0	0	0	0
54	0	0	1	0	0	0	0	0	0	0	0	0	0	0
55	0	1	1	0	0	0	0	0	0	0	0	0	0	0
56	0	0	0	0	0	0	0	0	0	0	0	0	0	0
57	0	0	0	0	0	0	0	0	0	0	0	0	0	0
58	0	0	0	0	0	0	0	0	0	0	0	0	0	0
59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60	0	0	0	0	0	0	0	0	0	0	0	0	0	0
61	0	0	0	0	0	0	0	0	0	0	0	0	0	0
62	0	1	1	2	1	1	1	0	0	1	6	2	0	0
63	0	0	0	0	0	0	0	0	0	0	0	0	0	0
64	0	0	0	0	0	0	0	0	0	0	1	0	0	0
65	0	0	0	0	0	0	0	0	0	0	0	0	0	0
66	0	0	0	0	0	0	0	0	0	0	0	0	0	0
67	0	0	0	0	0	0	0	0	0	0	0	0	0	0
68	0	0	0	0	0	0	0	0	0	0	0	0	0	0
69	0	0	0	0	0	0	0	0	0	0	0	0	0	0
70	0	0	0	0	0	0	0	0	0	0	0	1	0	0
71	0	0	0	0	0	0	0	0	0	0	0	0	0	0
72	0	0	0	0	0	0	0	0	0	0	0	0	0	0
73	0	0	0	0	0	0	0	0	0	0	0	0	0	0
74	0	0	0	0	0	0	0	0	0	0	0	0	0	0
75	0	0	0	0	0	0	0	0	0	0	0	0	0	0
76	0	0	0	0	0	0	0	0	0	0	0	0	0	0
77	0	0	0	0	0	0	0	0	0	0	0	0	0	0
78	0	0	0	0	0	0	0	0	0	0	1	0	0	0
79	0	0	0	0	0	0	0	0	0	0	0	0	0	0
80	0	0	0	0	0	0	0	0	0	0	0	0	0	0
81	0	1	0	0	0	0	0	0	0	0	0	0	0	0
82	0	0	0	0	0	0	0	0	0	0	0	0	0	0
83	0	0	0	0	0	0	0	0	0	0	0	0	0	0
84	0	0	0	0	0	0	0	0	0	0	0	0	0	0
85	0	0	0	0	0	0	0	0	0	0	0	0	0	0
86	0	0	0	0	0	0	0	0	0	0	0	0	0	0
87	0	0	0	0	0	0	0	0	0	0	0	0	0	0
88	0	0	0	0	0	0	0	0	0	0	0	0	0	0
89	0	0	0	0	0	0	1	0	0	0	1	0	0	0
90	0	0	0	0	0	0	0	0	0	0	0	0	0	0
91	0	0	0	0	0	0	0	0	0	0	0	0	0	0
92	0	0	0	0	0	0	0	0	0	0	0	0	0	0
93	0	0	0	0	0	0	0	0	0	0	0	0	0	0
94	0	0	0	0	0	0	0	0	0	0	0	0	0	0
95	0	0	0	0	0	0	0	0	0	0	0	0	0	0
96	0	0	0	0	0	0	0	0	0	0	0	0	0	0
97	0	0	0	0	0	0	0	0	0	0	0	0	0	0
98	0	0	0	0	0	0	0	0	0	0	0	0	0	0
99	0	0	0	0	0	0	0	0	0	0	0	0	0	0
100	0	0	0	0	0	0	0	0	0	0	0	0	0	0
101	0	0	0	0	0	0	0	0	0	0	0	0	0	0
102	0	0	0	0	0	0	0	0	0	0	0	0	0	0
103	0	0	1	1	0	0	0	0	0	0	0	0	0	0
104	0	0	0	0	0	0	0	0	0	0	0	0	0	0
105	0	0	0	0	0	0	0	0	0	0	0	0	0	0
106	0	0	0	0	0	0	0	0	0	0	0	0	0	0
107	0	0	0	0	0	0	0	0	0	0	0	0	0	0
108	0	0	0	0	0	0	0	0	0	0	0	0	0	0
109	0	0	0	0	0	0	0	0	0	0	0	0	0	0
110	0	0	0	0	0	0	0	0	0	0	0	0	0	0
111	0	0	0	0	0	0	0	0	0	0	0	0	0	0
112	0	0	0	0	0	0	0	0	0	0	0	0	0	0
113	0	0	0	0	0	0	0	0	0	0	0	0	0	0
114	0	0	0	0	0	0	0	0	0	0	0	0	0	0
115	0	0	1	0	0	0	0	0	0	0	0	0	0	0
116	0	0	0	0	0	0	0	0	0	0	0	0	0	0
117	0	0	0	0	0	0	0	0	0	0	0	0	0	0
118	0	0	0	0	0	0	1	0	0	0	0	0	0	0
119	0	0	0	1	0	0	0	0	0	0	1	0	0	0
120	0	0	0	0	0	0	0	0	0	0	0	0	0	0
121	0	0	0	0	0	0	0	0	0	0	0	0	0	0
122	0	0	0	0	0	0	0	0	0	0	0	0	0	0
123	0	0	0	0	0	0	0	0	0	0	0	0	0	0
124	0	0	0	0	1	0	0	0	0	0	0	0	0	0
125	0	0	0	0	0	0	0	0	0	0	0	0	0	0
126	0	0	0	0	0	0	0	0	0	0	0	0	0	0
127	0	0	0	0	0	0	0	0	0	0	0	0	0	0
128	0	0	0	0	0	0	0	0	0	0	0	0	0	0
129	0	0	0	0	0	0	0	0	0	0	0	0	0	0
130	0	0	0	0	0	0	0	0	0	0	0	0	0	0
131	0	0	0	0	0	0	0	0	0	0	0	0	0	0
132	0	0	0	0	0	0	0	0	0	0	0	0	0	0
133	0	0	0	0	0	0	0	0	0	0	0	0	0	0
134	0	0	1	0	1	0	0	0	0	0	0	0	0	0
135	0	0	0	0	0	0	0	0	0	0	0	0	0	0
136	0	6	8	9	8	8	6	0	0	2	11	2	1	0
137	0	0	0	0	0	0	0	0	0	0	0	0	0	0
138	0	0	0	0	0	0	0	0	0	0	0	0	0	0
139	0	0	0	0	0	0	0	0	0	0	0	0	0	0
140	0	0	0	0	0	0	1	0	0	0	0	0	0	0
141	0	0	0	0	0	0	0	0	0	0	0	0	0	0
142	0	0	0	0	0	0	0	0	0	0	0	0	0	0
143	0	0	0	0	0	0	0	0	0	0	0	0	0	0
144	0	0	0	0	0	0	0	0	0	0	0	0	0	0
145	0	0	0	0	0	0	0	0	0	0	0	0	0	0
146	0	0	0	0	0	0	0	0	0	0	0	0	0	0
147	0	0	0	0	0	0	0	0	0	0	0	0	0	0
148	0	0	0	0	0	0	0	0	0	0	0	0	0	0
149	0	0	0	0	0	0	0	0	0	0	0	0	0	0
150	0	0	0	0	0	0	0	0	0	0	0	0	0	0
151	0	0	0	0	0	0	0	0	0	0	0	0	0	0
152	0	0	0	0	0	0	0	0	0	0	0	0	0	0
153	0	0	0	0	0	0	0	0	0	0	0	0	0	0
154	0	0	0	0	0	0	0	0	0	0	0	0	0	0
155	0	0	0	0	0	0	0	0	0	0	0	0	0	0
156	0	0	0	0	0	0	0	0	0	0	0	0	0	0
157	0	0	0	0	0	0	0	0	0	0	0	0	0	0
158	0	0	0	0	0	0	0	0	0	0	0	0	0	0
159	0	0	0	0	0	0	0	0	0	0	0	0	0	0
160	0	0	1	0	1	0	0	0	0	0	0	0	0	0
161	0	0	0	0	0	0	0	0	0	0	0	0	0	0
162	0	0	0	0	0	0	0	0	0	0	0	0	0	0
163	0	0	0	0	0	0	0	0	0	0	0	0	0	0
164	0	0	1	2	2	2	3	1	0	0	1	0	0	0
165	0	0	0	0	0	0	0	0	0	0	0	0	0	0
166	0	0	0	0	0	0	0	0	0	0	0	0	0	0
167	0	0	0	0	0	0	0	0	0	0	0	0	0	0
168	0	0	0	0	0	0	0	0	0	0	0	0	0	0
169	0	0	0	0	0	0	0	0	0	0	0	0	0	0
170	0	0	0	0	0	0	0	0	0	0	0	0	0	0
171	0	0	0	0	0	0	0	0	0	0	0	0	0	0

In addition to the SEM-EDX analysis, a sample from each set (except for those collected in Mines 9 and 25) was used for sequential digestions in simulated lung fluid and strong acid, and the digestates were analyzed by inductively coupled plasma-mass spectroscopy to estimate potentially bioaccessible and total acid-soluble concentrations of metals and trace elements. Table 4a and b present estimated mass concentrations (µg/g) for potentially bioaccessible and total acid-soluble elements for samples from Mines 10–24. (Data for Mines 1–8 were presented in the original article [1]). Elements included in this analysis were Mg, Al, Si, K, V, Cr, Fe, Mn, Co, Ni, Cu, Zn, As, Se, Sr, Ag, Cd, Sn, Ba, Pb, and U.

Table 4a

Mass concentrations of potentially bioaccessible (SLF) and total acid-soluble (total) Mg, Al, Si, K, V, Cr, Fe, Mn, Co, Ni estimated for samples collected in Mines 10–24. (Sample numbers here are the same as the paired samples used for SEM-EDX analysis, and thus can be cross-referenced with the sample numbers shown in Tables Table 1, Table 2, Table 3a.) Elemental concentrations are reported on dry mass basis (i.e., µg per g of respirable dust). Sample mass values indicate dust mass recovered from the sample filter. Mass concentrations below the method reporting level (MRL) are shown in red.

		Mass concentration (µg/g)
		Mg		Al		Si		K		V		Cr		Fe		Mn		Co		Ni
Sample No	Mass (µg)	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total
91	163	2418	8576	1489	51,395	0	13,436	0	16,332	47	294	12	88	2113	31,189	256	529	3	12	84	205
92	395	5076	5483	8918	20,504	922	5711	1240	4641	21	123	0	30	18,666	24,127	523	541	10	11	80	80
93	202	4025	5056	6178	27,939	0	5818	1264	7975	0	327	0	179	11,655	25,427	515	839	6	12	15	29
94	69	960	960	0	19,902	0	2991	0	2997	0	398	0	126	0	23,549	54	54	1	6	212	261
95	673	1741	2516	6466	22,132	0	1320	824	5172	0	58	559	600	17,283	21,601	316	336	6	9	95	105
96	248	2251	2251	6222	14,210	0	4374	256	2206	0	90	24	77	9169	12,758	295	295	7	9	86	135
97	28	183	183	10,422	10,643	0	0	0	0	0	349	152	152	1995	19,924	193	193	0	0	232	232
98	102	1371	2369	6876	23,377	0	0	954	4904	14	162	0	1016	1720	31,947	148	249	4	8	32	335
99	28	2141	2141	5113	29,543	0	3986	0	7909	37	515	0	219	0	26,366	0	0	9	17	109	645
100	37	2670	2670	1800	5238	0	5380	0	331	0	267	0	0	0	5607	74	74	0	0	123	123
101	390	3966	5181	7204	14,114	1899	1899	788	3540	0	43	0	67	17,397	24,964	523	598	8	10	20	71
102	31	6968	6968	0	12,548	0	0	0	2167	0	0	8	262	0	47,196	14	79	0	3	63	154
103	851	2223	8254	2439	59,142	0	1668	702	17,860	0	79	16	105	4444	33,864	185	645	2	12	0	32
104	249	2701	9329	1176	73,787	0	364	1422	24,734	0	112	359	4636	2654	62,581	311	1140	2	68	2	3037
105	5009	5460	7688	11,643	32,764	7592	7844	1657	8824	0	29	0	27	38,169	50,230	885	1077	13	17	18	33
106	27	22,247	22,247	0	8421	0	49,820	0	0	0	691	0	161	0	28,017	0	0	0	0	87	87
107	88	7445	7445	2951	20,421	0	15,147	453	6782	4	120	0	553	5611	24,905	342	412	5	19	45	603
108	256	3963	4237	9491	18,198	5360	6469	2394	4758	0	39	0	75	8344	12,238	131	146	6	8	13	42
109	457	2860	2874	11,054	18,555	7861	9176	1778	3692	0	43	3762	3789	37,105	38,672	516	516	12	12	84	84
110	17	1400	8424	0	23,605	0	0	0	12,774	68	258	0	1594	0	60,686	33	443	13	13	258	830
111	184	1360	3054	3009	64,837	842	842	1741	14,892	0	150	892	953	6204	35,622	180	332	4	13	13	28
112	36	560	5453	0	9793	0	35,152	0	9909	0	392	0	760	0	17,400	6	341	5	15	79	754
113	41	6784	6784	0	5893	0	38,511	1735	2762	132	346	1312	1920	16,340	16,340	300	300	3	3	285	285
114	138	1564	1564	4966	14,214	2273	5468	1555	3704	15	84	5	149	2266	4715	120	120	6	8	10	10
115	413	1662	1662	6634	18,616	5925	6481	1150	3526	0	25	12	34	10,670	14,956	229	229	10	11	29	36
116	464	1698	2449	8329	25,184	6670	8686	1406	5151	0	43	3	65	11,344	17,449	245	289	11	13	18	33
117	82	2158	7344	0	15,191	0	47	0	8071	0	141	0	294	47	23,663	4	327	6	15	45	286
118	749	810	1338	0	5403	0	732	0	1228	0	11	0	32	0	3367	8	31	60	62	0	13
119	279	1178	1178	1091	4779	0	0	229	626	0	4	926	934	21,435	30,579	992	1129	7	9	30	41
120	68	706	706	0	7788	0	0	0	0	0	0	0	145	0	4943	52	121	7	10	27	27
121	35	1070	1070	0	10,971	0	10,286	0	0	0	1273	0	0	1364	1490	640	1010	8	9	0	0
122	28	2097	2097	0	13,801	0	0	0	0	0	0	0	0	321	7554	176	176	4	4	45	45
123	801	886	1186	1803	6007	0	331	0	1195	0	6	74	103	4334	9541	110	145	2	4	12	30
124	193	2335	3263	3153	8156	7091	7407	2036	4092	0	0	6	91	5601	11,957	245	330	6	10	39	97
125	40	74	4992	0	3280	0	0	0	3844	0	1605	7	524	0	33,603	63	338	2	6	115	335
126	2977	1070	1309	6645	10,966	740	740	0	903	0	19	0	29	10,334	12,497	95	103	4	5	0	6
127	175	1347	1347	1298	39,073	0	0	210	8150	0	300	0	0	0	5015	64	64	3	8	0	0
128	106	3117	8485	1617	6398	0	0	0	3878	0	475	0	945	560	24,510	60	395	0	7	18	517
129	876	3045	3992	6741	19,388	2927	2927	1759	5727	0	88	386	466	12,456	17,753	110	124	9	11	30	41
130	164	2600	2600	3565	12,394	0	0	0	672	0	186	37	37	3030	3030	53	53	1	2	5	5
131	515	2547	4522	2732	34,117	1848	1848	1905	11,642	0	163	0	143	535	20,106	25	48	2	9	0	27
132	69	4036	4036	331	2513	0	6570	0	0	0	276	630	680	5251	48,478	151	193	0	4	33	33
133	118	2006	2006	3503	11,220	0	4202	0	1067	0	228	0	53	2657	4873	57	57	4	6	104	104
134	157	9563	9563	4209	14,797	0	4103	1215	3026	0	223	0	603	4768	6629	172	203	5	19	22	218
135	1334	2200	5185	944	42,257	0	0	501	13,529	0	42	0	0	789	25,162	147	505	1	7	0	0
136	11,873	63,295	72,331	3137	6059	970	970	0	1133	0	4	0	7	10,935	12,702	251	279	4	5	0	1
137	86	16,049	17,420	42	4453	0	0	0	2153	0	138	0	152	130	17,123	73	138	0	1	26	76
138	76	80,176	80,176	3972	7938	0	0	5438	5438	0	377	0	457	0	0	1959	1959	0	7	13	13
139	633	3373	3895	1668	12,280	0	0	0	3304	0	49	3445	3445	32,843	37,169	453	472	8	11	64	64
140	276	10,145	10,145	1998	5256	0	0	0	160	0	14	0	0	3923	3923	72	72	2	4	243	243
141	64	3404	3404	5073	29,657	0	8836	0	2690	0	111	0	863	0	2884	99	99	2	7	0	0
142	53	2498	9846	5776	15,751	0	0	0	6604	0	6	0	463	5044	35,104	140	661	7	60	0	200
143	43	2412	6487	1516	5827	0	0	0	4183	0	27	0	625	1700	34,935	117	397	1	4	0	107
144	1618	1817	1817	13,403	20,041	13,479	13,479	2465	3569	0	6	0	0	15,608	16,366	276	276	9	9	0	0
145	89	1116	1116	5277	32,750	294	294	0	2240	0	76	0	18	0	31,691	70	70	2	6	219	219
146	208	1820	1820	7258	44,510	6502	6502	1296	6906	0	49	0	38	9007	17,659	210	210	4	8	44	44
147	43	1062	1062	1770	14,756	0	7319	0	2959	0	13	1800	1944	24,782	33,755	421	421	3	19	24	24
148	58	2143	2281	585	6212	12,371	25,052	0	1685	0	0	0	303	5124	24,964	158	228	2	5	48	141
149	1305	2265	4269	4069	33,578	6027	6027	2875	13,454	0	24	226	226	13,896	30,760	554	823	4	8	0	0
150	1893	2033	3747	5747	37,761	5286	5286	2272	12,714	0	35	20	20	10,470	20,496	191	240	3	7	0	0
151	41	66	8161	0	4678	0	48,545	0	9897	0	465	0	473	185	28,335	71	434	0	3	0	355
152	69	446	446	1472	36,627	0	6196	0	10,666	0	149	0	142	514	7425	3	3	0	3	0	0
153	55	0	0	1780	37,014	0	0	0	8639	0	164	0	312	0	104,462	0	108	1	8	4	65
154	107	1152	1152	373	37,930	0	14,863	0	0	0	305	0	0	0	0	73	73	0	0	40	40
155	4052	3073	4238	9555	20,014	3490	3790	762	4570	0	13	0	16	22,998	27,919	246	295	8	9	0	3
156	145	4632	6627	0	8154	0	1208	0	660	0	19	0	0	0	4708	52	140	0	0	13	13
157	96	9927	21,355	0	2837	0	80	0	5545	0	54	0	373	0	23,650	125	718	0	0	9	198
158	201	11,474	19,841	0	1962	0	2222	0	4350	0	37	0	217	1287	17,887	250	661	0	0	32	224
159	969	13,020	18,968	37	2245	0	1052	0	937	0	0	0	20	1871	5825	352	552	0	0	0	6
160	159	18,289	28,172	0	5064	0	2972	308	4228	0	17	1298	1351	9522	24,985	238	910	1	1	36	49
161	105	3443	9125	577	14,028	0	0	1174	6791	0	22	0	49	0	20,024	24	293	2	2	0	208
162	1561	1170	1863	3456	6586	5307	5588	1737	2971	0	3	0	26	3529	5805	82	116	6	7	0	9
163	79	3475	15,144	0	4889	0	0	1658	7614	0	83	0	151	0	27,787	18	589	0	0	15	40
164	5068	715	1063	507	2125	0	134	0	488	0	2	0	11	1460	2492	141	174	1	1	0	1
165	77	3931	12,894	2	5292	0	3189	4259	9375	16	16	0	1720	1357	31,728	87	599	1	1	0	558
166	41	11,663	13,889	0	8437	0	0	3170	3170	108	238	0	4127	0	31,147	0	92	0	0	0	0

Table 4b

Mass concentrations of potentially bioaccessible (SLF) and total acid-soluble (total) Cu, Zn, As, Se, Sr, Ag, Cd, Sn, Ba, Pb, U estimated for samples collected in Mines 10–24. (Sample numbers here are the same as the paired samples used for SEM-EDX analysis, and thus can be cross-referenced with the sample numbers shown in Tables Table 1, Table 2, Table 3a.) Elemental concentrations are reported on dry mass basis (i.e., µg per g of respirable dust). Sample mass values indicate dust mass recovered from the sample filter. Mass concentrations below the method reporting level (MRL) are shown in red.

		Mass concentration (µg/g)
		Cu		Zn		As		Se		Sr		Ag		Cd		Sn		Ba		Pb		U
Sample No	Mass (μg)	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total	SLF	total
91	163	0	19	127	2841	56	720	0	0	76	171	0	1	0	0	1	220	615	2246	1	22	0	2.3
92	395	0	0	7	264	21	29	0	0	85	90	0	0	0	0	0	0	621	806	10	10	0	0.4
93	202	0	0	123	5524	0	0	0	0	89	97	0	0	1	2	7	24	177	796	10	11	0	1.3
94	69	0	0	101	3051	43	43	0	0	83	83	0	2	1	1	0	83	1073	1788	0	1	0	0.1
95	673	0	9	0	383	6	93	0	0	50	70	0	1	0	0	0	15	612	837	14	19	0	0.7
96	248	216	216	219	219	8	108	0	0	68	76	0	0	0	0	0	0	604	665	21	21	0	0.9
97	28	110	146	902	902	20	1114	0	0	80	80	0	2	0	0	0	66	3736	3736	39	39	0	2.1
98	102	0	2	997	1797	17	954	0	0	87	130	0	2	0	0	0	0	1294	1592	13	13	0	1
99	28	0	0	0	1786	52	1069	0	36	0	205	0	9	0	1	0	0	0	5089	0	6	0	1.6
100	37	0	832	36	1607	13	13	0	20	93	93	0	1	2	2	64	64	3231	3754	8	8	0	0
101	390	0	72	43	83	0	388	0	0	68	100	0	0	0	0	3	3	613	686	8	12	0	0.4
102	31	0	0	1325	7487	0	2120	0	0	42	123	0	10	0	1	0	0	500	1779	0	0	0	0.6
103	851	0	23	219	358	0	175	0	3	61	143	0	1	0	0	0	0	471	869	0	12	0	1.9
104	249	0	109	0	232	1	55	0	0	63	147	0	2	0	1	0	0	508	1007	0	17	0	2
105	5009	0	7	0	73	0	35	0	0	69	95	0	1	0	0	0	0	569	734	11	16	0	0.7
106	27	0	0	0	0	7	7	0	38	30	30	0	18	0	1	0	0	0	2471	0	0	0	1.6
107	88	0	0	441	625	6	193	0	13	99	122	0	2	0	0	0	0	1365	1917	0	0	0	0.6
108	256	0	0	0	439	0	221	0	0	70	84	0	0	0	0	0	0	543	658	10	10	0	0.4
109	457	80	80	0	131	0	27	0	2	53	59	0	0	0	0	0	0	554	617	12	12	0	0.2
110	17	0	23	945	945	118	939	0	0	218	462	0	5	9	9	127	147	4594	4967	0	0	0	3.3
111	184	0	0	0	231	6	6	0	0	74	110	0	1	0	1	4	4	540	777	0	13	0	1.7
112	36	0	49	10,156	10,459	33	3037	0	41	54	251	0	3	0	1	0	115	496	1336	0	0	0	0.3
113	41	456	456	182	550	84	84	0	42	164	164	0	4	0	0	0	0	1133	2312	0	44	0	0
114	138	0	0	16	306	10	143	0	13	105	130	0	2	0	0	0	0	1123	1222	2	2	0	0
115	413	53	207	0	187	2	73	0	1	84	134	0	1	0	0	0	0	1014	1052	11	21	0	0.4
116	464	0	0	0	132	1	1	0	1	74	166	0	1	0	0	0	7	884	982	10	14	0	0.9
117	82	677	827	0	1322	9	1972	0	14	77	334	0	1	0	1	0	0	0	831	0	33	0	2
118	749	0	0	0	16	0	145	0	2	170	224	0	2	0	0	0	0	445	474	0	10	0	0.4
119	279	13	13	1	28	6	156	0	0	55	56	0	1	0	0	0	51	569	586	68	84	0	0.1
120	68	0	0	0	0	0	0	0	0	38	38	0	2	2	2	35	35	122	574	0	25	0	0
121	35	0	0	908	10,524	0	0	0	0	180	180	2	2	10	10	17	17	415	2993	43	43	1	0.9
122	28	0	0	0	4291	39	605	0	0	144	144	0	2	4	4	28	28	4102	4102	0	0	0	0
123	801	0	9	0	129	0	78	0	1	98	106	0	0	0	0	0	19	329	364	1	5	0	0.5
124	193	0	0	31	320	0	517	0	5	170	228	0	0	0	0	0	13	379	493	4	4	0	0.5
125	40	0	0	471	9785	0	1265	0	0	142	180	8	9	8	8	67	229	264	2701	13	13	11	11.7
126	2977	0	0	102	326	0	0	0	0	84	87	1	1	0	0	6	11	134	168	7	7	2	2.3
127	175	0	0	135	1152	0	0	0	0	96	96	0	2	2	2	4	67	164	651	0	0	1	3.2
128	106	1254	1481	1250	5447	0	1217	0	0	123	191	2	2	2	2	15	112	142	1110	35	44	1	2.5
129	876	0	0	110	252	0	11	0	0	94	113	0	1	3	4	1	1	251	386	20	24	13	17.8
130	164	0	0	228	1156	0	0	0	0	143	143	0	0	1	1	4	4	168	581	9	9	5	9
131	515	0	0	0	575	0	0	0	0	77	113	0	2	0	3	0	0	166	446	1	18	2	12.7
132	69	0	0	259	2400	0	0	0	0	280	280	2	2	3	3	9	9	253	988	22	22	1	1.6
133	118	0	0	156	1223	0	0	0	0	123	123	0	0	2	2	2	2	202	551	12	12	7	9.7
134	157	0	0	74	714	0	0	0	0	201	201	1	1	2	2	3	12	242	531	10	10	9	13
135	1334	0	0	0	83	0	0	0	0	48	94	0	1	0	0	0	2	133	679	0	21	0	3.1
136	11,873	0	0	25	39	0	0	0	0	60	68	1	1	0	0	5	5	399	445	8	10	2	2
137	86	0	0	152	2455	0	420	0	0	145	155	3	4	2	4	19	19	233	1029	2	2	3	3.3
138	76	0	0	129	3532	0	0	0	0	195	195	2	2	2	2	17	17	725	1949	6	6	2	2.4
139	633	71	71	144	373	0	0	0	0	88	112	0	2	1	1	6	6	143	298	20	22	1	1.5
140	276	27	116	68	581	0	0	0	0	114	114	1	1	1	1	4	4	276	467	8	8	1	1
141	64	0	0	180	2284	0	0	0	0	116	116	1	1	2	2	5	36	359	1193	0	0	1	1.5
142	53	0	0	395	4764	0	1536	0	0	163	247	4	4	4	8	7	67	343	1366	27	27	1	2.2
143	43	0	0	626	4929	0	915	0	0	119	158	0	0	4	4	3	3	282	1570	3	3	1	1.6
144	1618	0	0	29	157	0	0	0	0	106	108	1	1	1	1	0	2	273	354	17	17	1	1.1
145	89	1803	1803	880	3487	0	0	0	0	100	100	0	0	1	1	7	63	199	1307	6	21	0	0.9
146	208	0	0	47	1238	0	0	0	0	106	123	1	2	1	1	18	56	494	1824	9	9	3	4.1
147	43	0	0	145	4211	0	0	0	24	110	110	2	2	5	5	32	32	255	1903	0	0	5	5.4
148	58	2208	2646	563	4773	0	0	0	25	101	101	4	4	2	2	23	64	260	2189	7	7	2	2.6
149	1305	0	0	5	118	0	0	0	0	32	62	0	0	0	0	3	19	165	510	2	8	1	2.3
150	1893	0	0	0	37	0	0	0	0	40	76	0	0	0	0	1	9	203	646	5	16	1	3.5
151	41	0	0	184	11,668	0	2152	0	119	83	164	6	6	2	2	8	441	231	1828	3	3	1	2.4
152	69	0	0	0	3196	0	0	0	17	2	2	0	1	1	2	2	68	0	1652	0	0	0	1.6
153	55	2262	2262	0	6706	0	0	0	0	0	23	1	1	0	6	2	2	0	1884	0	215	0	1.7
154	107	0	0	0	0	89	89	0	0	71	71	2	2	0	0	0	0	135	135	0	0	0	0
155	4052	0	9	0	0	23	78	0	0	21	36	0	0	0	0	0	0	160	220	9	9	0	0.6
156	145	0	3057	0	1412	32	316	0	0	113	154	0	0	0	1	0	74	120	120	0	93	0	0.6
157	96	0	1942	0	0	27	2309	0	0	39	197	0	0	0	1	0	22	0	0	0	0	0	1.9
158	201	1296	2614	0	518	14	1715	0	0	66	191	0	1	0	1	0	0	79	79	12	42	0	1.1
159	969	0	31	0	118	2	272	0	0	76	106	3	3	0	0	21	21	57	57	1	1	2	2.7
160	159	29	304	0	0	7	1217	0	0	38	141	1	1	0	1	4	4	105	109	0	0	1	2.7
161	105	0	1175	0	0	5	876	0	0	162	335	0	0	0	1	0	0	307	307	0	0	0	1.8
162	1561	0	49	0	0	4	140	0	0	63	85	0	0	0	0	0	0	156	163	0	0	0	0.3
163	79	0	459	0	0	5	2731	0	0	169	399	0	0	1	1	0	0	221	221	0	0	0	2
164	5068	0	6	0	0	3	54	0	0	200	430	0	0	0	0	0	0	42	54	0	0	0	0.2
165	77	0	330	0	0	23	2140	0	0	326	542	0	0	1	1	0	0	237	237	0	0	0	1.6
166	41	0	673	0	0	24	63	0	0	418	540	0	0	0	2	0	0	225	225	0	0	0	1.2

Experimental Design, Materials, and Methods

Sample collection and preparation

A total of 171 sets of respirable dust samples were collected in 25 underground coal mines across five distinct regions of the United States: northern Appalachia (region “A”, which includes US Mine Safety and Health Administration [MSHA] districts 2 and 3; mines 5, 6, 16–18), mid-central Appalachia (B, MSHA district 4; mines 1–4, 15), south-central Appalachia (C, MSHA districts 5, 7 and 12; mines 7–14, 21, 22, 25), mid-western basin (D, MSHA district 8; mines 19 and 20), and western basin (E, MSHA district 9; mines 23 and 24). Each set represents a unique sampling event (i.e., specific sampling location in a specific mine). Sample collection was targeted in five standard locations per mine: intake airway (I), just outby of the primary production area (including the headgate of a longwall section) or along the mantrip track; feeder (F), near the feeder breaker or along the main conveyor belt; production (P), just downwind of an active continuous miner or near the midface of a longwall section; roof bolter (B), just downwind of an active bolter; and return airway (R), just outby of the primary production area (including the tailgate of a longwall section). In some mines, one or more of the targeted locations could not be sampled; in some cases, multiple sampling events were conducted in given location (e.g., on two separate shifts).

A detailed description of the mines and sampling protocol was previously reported [2]. Briefly, each sample set consists of multiple samples collected simultaneously in the same location. Each sample was collected using a personal air pump (Escort ELF model; Zefon International, Ocala, FL) with a 10-mm nylon Dorr-Oliver cyclone (Zefon International, Ocala, FL), which produces a d50 cut size of about 3.5 µm at the sampling flow rate of 2 L/min. A rigid frame was used to mount all samplers used to collect a given set, such that the inlet of all cyclones was positioned within about 15 cm of each other and oriented in the same direction. The samples analyzed for this report were collected directly onto 37 mm polycarbonate filters (PC, track-etched with nominal 0.4 µm pore size) over a continuous 2–4 h period.

For analysis of particle size and mineralogy, a circular subsection (8–9 mm diameter) was cut from one PC filter sample from each set, mounted on an aluminum stub, and sputter-coated with Au/Pd. Another PC filter from each set was used for the metals and trace elements analysis.

SEM-EDX analysis to determine particle size and mineralogy distributions

The SEM-EDX analysis was conducted in two phases, submicron and supramicron, each having a dedicated computer-controlled routine. Both routines used the same instrumentation and software, a FEI Quanta 600 FEG environmental SEM (FEI, Hillsboro, OR) equipped with a Bruker Quantax 400 EDX spectroscope (operated in backscatter mode) and Esprit software (Version 1.9; Bruker, Ewing, NJ). The analysis on each sample (i.e., the filter subsection mentioned above) proceeded as follows:

Initially, the SEM stage was moved to the center of the sample stub, which was designated as “Frame 0” (Fig. 1). Analysis began at Frame 0 and then proceeded through subsequent frames (i.e., up to Frame 79 for submicron analysis and up to Frame 39 for supramicron analysis). The frame positioning was pre-set to avoid user bias and ensure that data was collected across multiple areas of the sample; all frames were positioned within a 7 mm diameter circle allow tolerance in the case that the sample was not perfectly mounted in the center of the stub. For submicron analysis, interior frames were spaced about 0.5 mm apart and the spacing was increased moving toward the sample edge. The magnification was set to 10,000× such that each frame was approximately 140.25 μm2. For supramicron analysis, frames were spaced about 1 mm apart and magnification was set to 1000× such that each frame was approximately 14,025 µm2. Table 5 summarizes the other key parameters for each routine.

Fig. 1

Frame positions for computer-controlled SEM (a) submicron and (b) supramicron particle analysis routines. Outer circles have a 7 mm diameter. The span between adjacent frames is generally 0.5 mm for submicron and 1.0 mm for supramicron particle analysis routines (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.).

Table 5

Description of sub- and supramicron particle analysis routines using SEM-EDX analysis routines (reproduced from Sarvar et al. [2]).

Parameters	Submicron	Supramicron
Magnification	10,000×	1000×
Voltage (kV)	10	15
Spot size	5.5
Working distance (mm)	12.5
Brightness	92.5%
Contrast	60–70%
Recorded elements for normalized atomic% value	C, O, Al, Si, Mg, Ca, Ti, Fe
Particle size based on longest dimension (nm)	100–1000	1000–10,000
Frame area (μm2)	140.25	14,025
Minimum number of frames	10
Maximum number of frames	80	40
Maximum number of particles per frame	30	50
Total number of particles aimed	300	500

In each frame, 30 or 50 particles were analyzed for submicron and supramicron routines, respectively. The aim was to analyze approximately 300 submicron particles and approximately 500 supramicron particles per sample; therefore, at least 10 frames were analyzed in both routines.

For each particle, its length, width, projected area, particle location, and the elemental spectra were recorded. The dimensions were used to determine projected area diameter.

Normalized atomic percentages of eight elements (per [4]) (i.e., C, O, Al, Si, Mg, Ca, Ti, Fe) were used to classify particles into in nine pre-defined classes (per [2]): carbonaceous (C); mixed carbonaceous (MC); aluminosilicates, kaolinite-like (ASK) or other (ASO); other silicates (SLO); silica (S); heavy minerals (M), which mostly included metal sulfides or oxides; carbonates (CB), or other (O). These are referred to as “mineralogy” classes herein, though it is acknowledged mineralogy is inferred from the elemental spectra. The classification criteria are listed in Table 6 and verified with high-purity reference materials (Table 7) for both submicron and supramicron particles [2]. It should be noted that submicron particles in the C class may include both carbonaceous dust (i.e., coal and organic matter) and diesel particulates, which can sometimes be identified based on their characteristic morphology [1], [2], [3].

Table 6

Mineralogy classification criteria (reproduced from Sarvar et al. [2]).

		Normalized Atomic%
Class	Routine	C	O	Al	Si	Ca	Mg	Ti	Fe
C	Sub	≥75	<29	≤0.30	≤0.30	≤0.41	≤0.50	≤0.50	≤0.50
	Supra							≤0.06	≤0.15
MC	Sub			<0.44	<0.44	≤1.00	≤0.50	≤1.00	≤1.00
	Supra			<0.35	<0.35	≤0.50	≤0.50	≤0.60	≤0.60
ASK1	Sub			≥0.44, (≥37)	≥0.44, (≥42)	(<16)	(<4)	(<8)	(<10)
	Supra			≥0.35, (≥39)	≥0.35, (≥32)	(<8)	(<15)	(<13)	(<13)
ASO1	Sub			≥0.44, (<37)	≥0.44, (<42)	(≥16)	(≥4)	(≥8)	(≥10)
	Supra			≥0.35, (<39)	≥0.35, (<32)	(≥8)	(≥15)	(≥13)	(≥13)
SLO2	Sub				≥0.50
	Supra				≥0.33
S3	Sub				≥0.50
	Supra				≥0.33
M	Sub			>1.00				>1.00	>1.00
	Supra
CB	Sub	<88	>9			>1.00	>0.50
	Supra					>0.50

To differentiate ASK from ASO, additional limits for Al, Si, Mg, Ca, Ti and Fe are shown in parenthesis (normalized to exclude C and O).

Additional limits for SLO: Si/(Al+Si+Mg+Ca+Ti+Fe) < 0.5.

Additional limits for S: Al/Si < 1/3 and Si/(Al+Si+Mg+Ca+Ti+Fe) ≥ 0.5.

Table 7

Classification results on submicron and supramicron particles in respirable dust samples generated in the laboratory using high-purity reference materials (reproduced from Sarvar et al. [2]). Results are shown for both submicron and supramicron SEM analysis routines. Dominant mineralogy class is shaded gray.

		Mineralogy Distribution (%)
Reference Material	SEM Routine	C	MC	ASK	ASO	SLO	S	M	CB	O
Coal	Sub	91	6	3	0	0	0	0	0	0
	Supra	99	1	0	0	0	0	0	0	0
Kaolinite	Sub	9	3	85	3	0	0	0	0	0
	Supra	0	0	98	2	0	0	0	0	0
Quartz	Sub	1	1	3	3	2	91	0	0	0
	Supra	1	1	1	1	0	94	0	0	0
Calcite	Sub	1	1	0	0	0	1	0	97	0
	Supra	1	0	0	0	0	0	0	99	0
Rock Dust	Sub	1	1	0	17	0	0	0	78	3
	Supra	6	3	0	1	0	0	0	88	1

Following completion of the sub- and supramicron particle analysis, the resulting datasets were merged to allow description of particle size and mineralogy distributions across the entire analyzed range. This was done by normalizing both datasets on the basis of number of particles per analyzed filter area. Finally, the data were split into the size bins included in Table 3a–i.

Metals and trace elements analysis

Analysis of potentially bioaccessible and total acid-soluble metals and trace elements in the respirable dust samples was conducted using two sequential digestions followed by inductively-coupled mass spectroscopy on the digestates. The first digestion was in a simulated lung fluid (SLF) and the second was in a 4-acid solution. Following is a detailed description of the entire method used to prepare and analyze the samples.

For dust recovery and the digestion in SLF, the procedure described in Sarver et al. [1] was followed. Briefly:

One PC filter from each sample set was weighed to establish a pre-weight prior to dust recovery.

Each filter was placed into a glass digestion tube and rinsed with 18 MΩ water. Enough water was added to fully submerse the filter (about 5 mL). The tubes were capped and placed in an ultrasonic bath for 1 h (@ constant 37 °C), then centrifuged for 10 min (@ 3000 rpm) to settle the liberated dust. Tubes were uncapped and water was evaporated in a clean oven (@ 120 °C).

Dry filters were carefully removed and re-weighed to determine recovered dust mass by difference with the pre-weight.

SLF solution was prepared per [5] using the reagents shown in Table 8. SLF was prepared using 18 MΩ water as the base. It was stored at 3 °C and used within 1 week of preparation.

Table 8

Simulated lung fluid (SLF) recipe and order of chemical addition (reproduced from Sarvar et al. [1]).

Addition	Chemical	Formula	Concentration/L
1	Ammonium chloride	NH4Cl	535 mg
2	Sodium chloride	NaCl	6780 mg
3	Sodium bicarbonate	NaHCO3	1770 mg
4	Sodium carbonate	Na2CO3	630 mg
5	Sodium dihydrogen phosphate monohydrate	NaH2PO4•H2O	166 mg
6	Sodium citrate dihydrate	Na3-citrate•2H2O	59 mg
7	Glycine	C2H5NO2	450 mg
8	Sulfuric acid	H2SO4	51 mg (27.7 μL)
9	Calcium chloride dihydrate	CaCl2•2H2O	29 mg

The SLF solution was added to each digestion tube containing only the recovered dry dust, as well as tubes prepared as blank (clean PC filter) and matrix (SLF only) samples. The SLF solution volume was determined using a 1/10,000 ratio between the dust mass (g) and SLF volume (mL) ratio. This solid/liquid ratio was chosen per [6]. For samples with recovered dust weight below 200 µg, a standard SLF volume of 2 mL was used.

The tubes were capped and placed in the ultrasonic bath for 24 h (@ constant 37 °C), and then centrifuged for 10 min (@ 3000 rpm).

A 5 mL aliquot of the SLF digestate in each tube was taken by syringe using a PTFE filter (0.1 µm pore size) to trap any suspended dust particles. The filtered digestate was then added to new ICP tube and diluted with 18 MΩ water to a volume of 9.8 mL. Finally, 0.2 mL HNO3 (trace metal grade) was added to each ICP sample to achieve 2% acid by volume (and a total sample volume of 10 mL).

The second digestion followed a procedure modified from Briggs [7] to digest the remaining dust from each sample (i.e., that not digested by the SLF) using four concentrated acids (i.e., HNO3, HClO4, HF and HCl):

The 4-acid digestion procedure began with pre-digestion step. The PTFE filter used to trap dust from each SLF sample was placed into a 50-mL Teflon vessel. The filter and vessel walls were then rinsed by pipetting a minimal volume of 18 MΩ water (i.e., 1–2 mL). Then, 750 μL of concentrated HCl (trace metal grade) was added to each vessel. The vessels were capped and placed into a hot block with individual wells, and left under a fume hood overnight at 60 °C. Vessels were allowed to cool to room temperature and then transferred to an HClO4-rated fume hood for the rest of acid digestion procedure.

The next three acids (all trace metal grade) were added to each vessel in this order: 500 μL of HNO3, 250 μL of HClO4, and 500 μL of HF. Contents were swirled gently and then the vessels were placed into the hot block at room temperature. They were heated (uncapped) to 110 °C and left at temperature until incipient dryness.

After the vessels cooled, another 250 μL of the HClO4 was added to each. The vessel walls were then rinsed by pipetting a minimal volume of 18 MΩ water (i.e., 1–2 mL and gently swirled before being placed back into the hot block. The vessels were then heated (uncapped) to 150 °C and left at temperature until incipient dryness.

After the vessels cooled, another 250 μL of the HNO3 was added to each. They were left uncapped for 5 min, and then swirled to mix. Then 6 mL of 18 MΩ water was added to each vessel, and it was swirled again. Next, 25 μL of H2O2 (30%) was added and the reaction was allowed to subside before the vessels were capped tightly and shaken. They were placed in an oven for 1 h (@ 100 °C).

Finally, the total volume of digestate in each vessel was transferred to a new ICP tube and acidified to 2% HNO3 (by volume).

To analyze the SLF and 4-acid digestates, a Thermo Electron iCAP-RQ ICP-MS instrument was used (Thermo Fisher Scientific, Waltham, MA):

For each batch of ICP samples, three blank PC filters and blank solutions were also prepared using the SLF and 4-acid digestion procedures described above. Their results were used for blank and matrix corrections, respectively.

The ICP results (µg/L in the digestate solutions) were corrected and then transformed into dry dust concentrations (µg/g) using the dust mass recovered from each filter sample. The concentration determined from the SLF digestate is regarded as potentially bioaccessible; and the sum of the concentration from the SLF and 4-acid digestates is regarded as total acid-soluble concentration. It is noted that, due to relatively low sample masses for the current dataset, results in Table 4a and b should be regarded as estimated concentrations.

Based on data from researchers at the U.S. Geological Survey (USGS), the 4-acid digestion procedure followed here (i.e., with open vessel during HF digestion) is predicted to result in Si loss of about 90% (H. Lowers and Z. Arslan, personal communication, September 16, 2021). To enable general comparisons between Si and other elements (i.e., in Table 4a and b), this factor was used to further correct the Si data herein. However, the reported Si concentrations should accordingly be viewed with some caution.

The elements that were measured by ICP-MS and reported here are listed in Table 9 with their respective method reporting level (MRL). MRLs are based on the calibration curve for each element, which is generated using a series of standard solutions; the limits of detection are generally about one order of magnitude lower. (Note that other elements, including Ca, Na, P, Ti, S and Cl, can be measured by ICP-MS, but were not included in the analysis presented here due to significant interferences from the digestion solutions.) In addition to ICP-MS calibration prior to sample analysis, check standards and blank samples were run between every set of 10 samples analyzed to ensure that there was no significant instrument drift or carryover contamination between samples.

Table 9

MRLs for elements included in ICP-MS analysis.

MRL (µg/L)	Element	MRL (µg/L)	Element
0.1	V, Cr, Mn, Co, Ni, As, Ag, Cd, Sn, Ba, Pb, U	5	Mg, Fe
0.5	Sr	10	Al, K
1	Cu, Zn, Se	500	Si

Data Availability

SEM-EDX data on respirable dust from 25 US coal mines (Original data) (Mendeley Data).

CRediT authorship contribution statement

Cigdem Keles: Methodology, Data curation, Writing – original draft. Maria Jaramillo Taborda: Data curation. Emily Sarver: Conceptualization, Methodology, Funding acquisition, Writing – review & editing.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Subject	Engineering, Environmental Science, Health and Medical Sciences
Specific subject area	Environmental monitoring for occupational health, mining engineering
Type of data	Tables
How the data was acquired	Particle size and relative elemental ratios were determined by SEM-EDX using an FEI Quanta 600 FEG environmental SEM (FEI, Hillsboro, OR) equipped with a Bruker Quantax 400 EDX spectroscope (Bruker, Ewing, NJ). The SEM-EDX work was performed using two computer-controlled routines, updated from Sarver et al. [1]. The elemental data were used to infer particle mineralogy following published criteria [2], also updated from Sarver et al. [1].Potentially bioaccessible and total acid-soluble metal and trace element concentrations were estimated by performing sequential digestions (first in simulated lung fluid, then in strong acid) and analyzing the digestate solutions by ICP-MS using a Thermo Electron iCAP-RQ ICP-MS (Thermo Fisher Scientific, Waltham, MA).
Data format	Raw and analyzed
Description of data collection	Respirable coal mine dust samples were collected onto polycarbonate (PC) filters as described in Sarver et al. [2]. SEM-EDX work was performed directly on the filters (after sputter-coating with Au/Pd) using two computer-controlled routines, updated from Sarver et al. [1].For the metals and trace elements analysis, dust was removed from the filters by sonication in the simulated lung fluid (SLF), same as for data presented in Sarver et al. [1]; then the SLF digestate was filtered and the residual particles were subjected to a 4-acid digestion, which is modified from Sarver et al. [1].
Data source location	The respirable dust samples were collected in 25 underground coal mines located in different regions of the United States. A description of the mines is included in Sarver et al. [2]. Exact locations/mine identities are not disclosed, however the relevant characteristics were published (e.g., geographic region, coal seam thickness and total mining height, description of any rock strata being mined along with the coal).
Data accessibility	The tables presented herein summarize the SEM-EDX data on a per-sample basis (i.e., particle size and mineralogy distributions.) The metals and trace elements concentration data were collected on a per sample basis.The raw SEM-EDX data (on a per particle basis) is available in the following repository: Repository name: Mendeley Data Data identification number: http://dx.doi.org/10.17632/zhvszymk7t.1Direct URL to data: https://data.mendeley.com/datasets/zhvszymk7t/1
Related data article	E. Sarver, C. Keles, M. Rezaee, Characteristics of respirable dust in eight Appalachian coal mines: A dataset including particle size and mineralogy distributions, and metal and trace element mass concentrations, Data in Brief 25 (2019) 104,032. https://doi.org/10.1016/j.dib.2019.104032
Related research article	E. Sarver, C. Keles, S. Ghaychi Afrouz, Particle size and mineralogy distributions in respirable dust samples from 25 US underground coal mines, Int. J. Coal Geol. 247 (2021) 103,851.https://doi.org/10.1016/j.coal.2021.103851