# Detailed output generated with 'x3dna_ensemble analyze' of a MODEL/ENDMDL
#     delineated ensemble of DNA/RNA structures. To extract parameters, run:
#     'x3dna_ensemble extract'

<alpha1>		# with 11 data columns
sel	162.7	-39.9	-82.0	-68.0	-72.9	-63.7	-56.2	-64.8	-58.8	-74.9	-75.2
</alpha1>

<alpha2>		# with 11 data columns
sel	-49.1	-68.4	-53.4	-77.4	-62.1	-75.2	-62.9	-60.3	-76.0	-84.4	na
</alpha2>

<area>		# with 10 data columns
sel	 7.24	 2.93	 7.46	 7.03	 6.79	 4.99	 8.04	 4.21	10.63	 3.34
</area>

<area0>		# with 10 data columns
sel	 3.50	 0.36	 3.74	 1.80	 1.73	 0.45	 3.57	 0.33	 4.92	 0.32
</area0>

<beta1>		# with 11 data columns
sel	-170.0	157.7	165.7	162.2	169.4	177.5	170.8	160.1	174.8	168.5	160.6
</beta1>

<beta2>		# with 11 data columns
sel	-177.5	155.0	173.4	162.3	174.0	-173.1	161.9	172.6	-175.0	-174.5	na
</beta2>

<buckle>		# with 11 data columns
sel	6.42	36.07	5.02	-6.48	-18.34	-14.18	-5.33	-3.27	11.48	7.90	-4.53
</buckle>

<chi1>		# with 11 data columns
sel	-100.8	-81.6	-113.6	-132.7	-135.4	-119.0	-94.2	-140.1	-96.7	-135.9	-128.0
</chi1>

<chi2>		# with 11 data columns
sel	-111.2	-141.4	-121.5	-142.8	-106.4	-97.5	-123.3	-105.7	-126.4	-127.3	-117.4
</chi2>

<delta1>		# with 11 data columns
sel	135.4	137.3	142.4	107.9	93.3	110.6	126.7	81.0	137.1	121.7	109.4
</delta1>

<delta2>		# with 11 data columns
sel	144.2	85.4	124.6	87.7	143.2	137.8	87.6	131.4	110.6	137.8	121.1
</delta2>

<dist_c1_c1>		# with 11 data columns
sel	10.9	10.4	10.6	10.6	10.8	10.7	10.7	10.8	10.8	10.9	10.6
</dist_c1_c1>

<dist_cc1>		# with 10 data columns
sel	4.2	5.7	4.4	5.0	5.1	5.0	4.9	5.7	4.8	4.7
</dist_cc1>

<dist_cc2>		# with 10 data columns
sel	5.4	4.5	5.5	4.6	5.2	5.6	5.1	4.7	5.3	5.7
</dist_cc2>

<dist_pp1>		# with 10 data columns
sel	6.9	6.8	7.2	7.0	6.6	6.4	6.8	6.5	7.1	7.0
</dist_pp1>

<dist_pp2>		# with 10 data columns
sel	6.5	6.9	6.8	7.3	6.9	6.6	6.8	6.7	7.0	na
</dist_pp2>

<dist_rc8_yc6>		# with 11 data columns
sel	9.9	9.7	10.0	10.2	10.2	9.8	10.1	10.2	10.0	9.8	9.9
</dist_rc8_yc6>

<dist_rn9_yn1>		# with 11 data columns
sel	9.1	8.8	9.0	9.0	9.2	8.9	9.1	9.1	9.0	9.0	9.0
</dist_rn9_yn1>

<epsilon1>		# with 11 data columns
sel	173.3	-150.9	174.8	-171.8	176.7	179.1	-174.1	-170.4	174.9	-166.1	na
</epsilon1>

<epsilon2>		# with 11 data columns
sel	-169.5	175.8	-170.8	176.0	179.2	-176.7	-175.0	-177.4	-176.8	168.9	-175.7
</epsilon2>

<gamma1>		# with 11 data columns
sel	57.7	46.2	62.9	67.1	61.3	44.1	55.1	57.3	63.6	66.7	65.6
</gamma1>

<gamma2>		# with 11 data columns
sel	50.1	45.6	60.0	64.4	54.7	64.9	62.0	47.7	65.2	61.6	179.1
</gamma2>

<h_rise>		# with 10 data columns
sel	2.75	3.72	3.51	3.43	3.08	2.93	3.27	2.92	3.37	3.14
</h_rise>

<h_twist>		# with 10 data columns
sel	31.86	38.85	36.33	35.27	39.18	34.49	32.95	31.11	38.10	33.89
</h_twist>

<hbond>		# with 11 data columns
sel	[3]  O6 - N4  2.88  N1 - N3  3.00  N2 - O2  3.04	[3]  N4 - O6  2.94  N3 - N1  2.90  O2 - N2  2.85	[3]  O6 - N4  2.99  N1 - N3  2.98  N2 - O2  2.81	[2]  N6 - O4  3.55  N1 - N3  3.08	[2]  N6 - O4  3.36  N1 - N3  3.14	[3]  N4 - O6  2.66  N3 - N1  2.97  O2 - N2  2.84	[3]  O6 - N4  3.11  N1 - N3  2.97  N2 - O2  2.79	[3]  N4 - O6  3.22  N3 - N1  3.06  O2 - N2  2.79	[3]  O6 - N4  3.03  N1 - N3  2.98  N2 - O2  2.81	[3]  N4 - O6  2.89  N3 - N1  2.98  O2 - N2  2.89	[3]  O6 - N4  2.98  N1 - N3  2.96  N2 - O2  2.81
</hbond>

<hx_pos>		# with 10 data columns
sel	48.62 18.03 26.49	44.10 19.77 25.80	45.14 20.18 21.73	42.61 23.00 20.24	40.01 23.52 17.85	39.80 22.34 14.24	38.02 24.44 11.63	39.33 25.63 7.95	36.25 26.60 5.75	34.04 27.61 4.20
</hx_pos>

<hx_vec>		# with 10 data columns
sel	-0.69 0.21 -0.69	-0.14 0.32 -0.94	-0.42 0.42 -0.80	-0.43 0.43 -0.79	-0.38 0.50 -0.78	-0.62 0.03 -0.78	-0.25 0.35 -0.90	-0.49 0.16 -0.86	-0.15 0.35 -0.92	-0.48 0.43 -0.77
</hx_vec>

<inclination>		# with 10 data columns
sel	-7.09	21.76	4.68	3.53	1.14	30.68	1.57	17.81	2.60	18.62
</inclination>

<lambda1>		# with 11 data columns
sel	51.7	54.2	55.0	55.3	56.6	53.9	55.1	57.4	51.9	48.7	54.3
</lambda1>

<lambda2>		# with 11 data columns
sel	53.2	57.1	59.1	58.5	54.8	53.1	57.0	54.1	52.2	51.7	58.9
</lambda2>

<major_gw_pp>		# with 10 data columns
sel	na	na	16.9	16.5	18.4	18.5	18.3	18.5	na	na
</major_gw_pp>

<major_gw_refined>		# with 10 data columns
sel	na	na	na	15.8	17.3	17.7	17.7	na	na	na
</major_gw_refined>

<minor_gw_pp>		# with 10 data columns
sel	na	na	10.2	10.3	12.3	14.7	15.6	14.2	na	na
</minor_gw_pp>

<minor_gw_refined>		# with 10 data columns
sel	na	na	na	10.2	12.1	14.4	15.4	na	na	na
</minor_gw_refined>

<opening>		# with 11 data columns
sel	-3.50	0.93	2.66	10.41	2.19	-2.02	3.06	6.86	0.77	-4.68	3.21
</opening>

<phase1>		# with 11 data columns
sel	169.5	140.0	166.8	115.5	92.1	107.4	174.5	58.0	175.0	127.7	115.8
</phase1>

<phase2>		# with 11 data columns
sel	178.6	73.6	141.5	82.3	164.2	152.8	72.4	152.6	118.7	140.6	120.7
</phase2>

<propeller>		# with 11 data columns
sel	6.71	-12.84	-7.08	-23.76	-20.90	-7.59	-11.08	-15.14	-4.17	-10.09	-25.36
</propeller>

<puckering1>		# with 11 data columns
sel	C2'-endo	C1'-exo	C2'-endo	C1'-exo	O4'-endo	O4'-endo	C2'-endo	C4'-exo	C2'-endo	C1'-exo	C1'-exo
</puckering1>

<puckering2>		# with 11 data columns
sel	C2'-endo	O4'-endo	C1'-exo	O4'-endo	C2'-endo	C2'-endo	O4'-endo	C2'-endo	C1'-exo	C1'-exo	C1'-exo
</puckering2>

<radius1_c1>		# with 10 data columns
sel	4.0	7.1	5.5	7.3	6.0	5.5	5.7	7.9	6.4	6.7
</radius1_c1>

<radius1_o4>		# with 10 data columns
sel	4.3	8.0	6.0	8.0	6.6	6.3	6.3	8.8	7.1	7.2
</radius1_o4>

<radius1_p>		# with 10 data columns
sel	8.1	9.4	9.3	11.3	9.9	8.2	9.5	10.8	9.8	9.8
</radius1_p>

<radius2_c1>		# with 10 data columns
sel	6.6	6.5	7.5	6.4	5.8	7.8	7.1	4.9	6.9	8.2
</radius2_c1>

<radius2_o4>		# with 10 data columns
sel	7.2	7.1	8.3	7.1	6.4	8.7	7.8	5.6	7.3	9.0
</radius2_o4>

<radius2_p>		# with 10 data columns
sel	10.3	10.3	11.2	10.0	9.2	10.5	10.8	8.2	10.2	11.0
</radius2_p>

<rise>		# with 10 data columns
sel	2.62	3.86	3.57	3.48	3.09	3.21	3.28	3.04	3.40	3.45
</rise>

<roll>		# with 10 data columns
sel	-3.86	14.10	2.92	2.14	0.76	17.38	0.89	9.39	1.69	10.67
</roll>

<shear>		# with 11 data columns
sel	-0.38	0.46	-0.45	-0.21	0.27	0.41	0.18	0.31	-0.10	0.26	-0.43
</shear>

<shift>		# with 10 data columns
sel	1.29	-1.11	0.78	-0.44	0.00	0.68	0.40	-0.64	-0.36	0.93
</shift>

<slide>		# with 10 data columns
sel	0.44	-0.04	-0.30	-0.77	0.04	0.41	-0.35	0.39	-0.89	-0.64
</slide>

<stagger>		# with 11 data columns
sel	-0.33	-0.90	-0.42	-0.07	-0.14	-0.39	0.02	0.35	0.09	0.40	-0.06
</stagger>

<stretch>		# with 11 data columns
sel	-0.11	0.03	-0.04	0.26	0.32	-0.20	0.08	0.17	-0.01	-0.13	-0.06
</stretch>

<tilt>		# with 10 data columns
sel	6.32	-6.40	-0.97	-0.74	2.14	-2.61	-0.47	3.76	-6.53	2.40
</tilt>

<tip>		# with 10 data columns
sel	-11.61	9.88	1.55	1.23	-3.19	4.61	0.83	-7.13	10.06	-4.18
</tip>

<tm1>		# with 11 data columns
sel	21.1	48.9	28.4	50.7	49.7	46.6	33.5	45.1	34.8	43.0	41.5
</tm1>

<tm2>		# with 11 data columns
sel	39.7	46.6	34.3	36.5	30.2	33.9	28.3	27.6	30.2	39.8	36.6
</tm2>

<twist>		# with 10 data columns
sel	31.01	35.74	36.20	35.20	39.12	29.80	32.94	29.46	37.52	32.12
</twist>

<x_displacement>		# with 10 data columns
sel	1.39	-2.14	-0.93	-1.60	-0.03	-2.04	-0.76	-0.96	-1.59	-2.88
</x_displacement>

<y_displacement>		# with 10 data columns
sel	-1.40	0.73	-1.40	0.61	0.24	-1.56	-0.79	1.87	-0.31	-1.19
</y_displacement>

<zeta1>		# with 11 data columns
sel	-81.9	-150.1	-80.8	-93.5	-77.7	-90.8	-98.0	-89.6	-93.3	-87.2	na
</zeta1>

<zeta2>		# with 11 data columns
sel	-86.9	-90.6	-84.7	-80.4	-93.1	-116.9	-78.8	-109.0	-79.7	-85.7	-103.9
</zeta2>

<zp>		# with 10 data columns
sel	-0.62	-0.73	-0.46	-0.78	-0.71	-0.30	-0.18	0.22	0.41	0.25
</zp>

<zph>		# with 10 data columns
sel	-1.80	2.35	0.26	-0.24	-0.55	4.19	0.07	3.00	0.80	3.01
</zph>