id	sid	tid	token	lemma	pos
ispiv-130	1	1	14th	14th	ADJ
ispiv-130	1	2	international	international	ADJ
ispiv-130	1	3	symposium	symposium	NOUN
ispiv-130	1	4	on	on	ADP
ispiv-130	1	5	particle	particle	NOUN
ispiv-130	1	6	image	image	NOUN
ispiv-130	1	7	velocimetry	velocimetry	NOUN
ispiv-130	1	8	–	–	PUNCT
ispiv-130	1	9	ispiv	ispiv	NOUN
ispiv-130	1	10	2021	2021	NUM
ispiv-130	1	11	august	august	PROPN
ispiv-130	1	12	1–5	1–5	NUM
ispiv-130	1	13	,	,	PUNCT
ispiv-130	1	14	2021	2021	NUM
ispiv-130	1	15	a	a	DET
ispiv-130	1	16	network	network	NOUN
ispiv-130	1	17	-	-	PUNCT
ispiv-130	1	18	based	base	VERB
ispiv-130	1	19	perspective	perspective	NOUN
ispiv-130	1	20	on	on	ADP
ispiv-130	1	21	coherent	coherent	ADJ
ispiv-130	1	22	structure	structure	NOUN
ispiv-130	1	23	detection	detection	NOUN
ispiv-130	1	24	from	from	ADP
ispiv-130	1	25	very	very	ADV
ispiv-130	1	26	-	-	PUNCT
ispiv-130	1	27	sparse	sparse	ADJ
ispiv-130	1	28	lagrangian	lagrangian	ADJ
ispiv-130	1	29	data	datum	NOUN
ispiv-130	1	30	giovanni	giovanni	PROPN
ispiv-130	1	31	iacobello1	iacobello1	PROPN
ispiv-130	1	32	,	,	PUNCT
ispiv-130	1	33	david	david	PROPN
ispiv-130	1	34	e.	e.	PROPN
ispiv-130	1	35	rival1,∗	rival1,∗	PROPN
ispiv-130	1	36	1	1	PROPN
ispiv-130	1	37	queen	queen	PROPN
ispiv-130	1	38	’s	’s	PART
ispiv-130	1	39	university	university	NOUN
ispiv-130	1	40	,	,	PUNCT
ispiv-130	1	41	department	department	NOUN
ispiv-130	1	42	of	of	ADP
ispiv-130	1	43	mechanical	mechanical	ADJ
ispiv-130	1	44	and	and	CCONJ
ispiv-130	1	45	materials	material	NOUN
ispiv-130	1	46	engineering	engineering	NOUN
ispiv-130	1	47	,	,	PUNCT
ispiv-130	1	48	kingston	kingston	PROPN
ispiv-130	1	49	,	,	PUNCT
ispiv-130	1	50	canada	canada	PROPN
ispiv-130	1	51	∗	∗	VERB
ispiv-130	1	52	d.e.rival@queensu.ca	d.e.rival@queensu.ca	PROPN
ispiv-130	1	53	abstract	abstract	ADJ
ispiv-130	1	54	coherent	coherent	ADJ
ispiv-130	1	55	structure	structure	NOUN
ispiv-130	1	56	detection	detection	NOUN
ispiv-130	1	57	(	(	PUNCT
ispiv-130	1	58	csd	csd	NOUN
ispiv-130	1	59	)	)	PUNCT
ispiv-130	1	60	is	be	AUX
ispiv-130	1	61	a	a	DET
ispiv-130	1	62	long	long	ADV
ispiv-130	1	63	-	-	PUNCT
ispiv-130	1	64	lasting	last	VERB
ispiv-130	1	65	issue	issue	NOUN
ispiv-130	1	66	in	in	ADP
ispiv-130	1	67	fluid	fluid	ADJ
ispiv-130	1	68	mechanics	mechanic	NOUN
ispiv-130	1	69	research	research	NOUN
ispiv-130	1	70	as	as	ADP
ispiv-130	1	71	the	the	DET
ispiv-130	1	72	presence	presence	NOUN
ispiv-130	1	73	of	of	ADP
ispiv-130	1	74	spatio	spatio	PROPN
ispiv-130	1	75	-	-	PUNCT
ispiv-130	1	76	temporal	temporal	ADJ
ispiv-130	1	77	coherent	coherent	ADJ
ispiv-130	1	78	motion	motion	NOUN
ispiv-130	1	79	enables	enable	VERB
ispiv-130	1	80	simpler	simple	ADJ
ispiv-130	1	81	ways	way	NOUN
ispiv-130	1	82	to	to	PART
ispiv-130	1	83	characterize	characterize	VERB
ispiv-130	1	84	the	the	DET
ispiv-130	1	85	flow	flow	NOUN
ispiv-130	1	86	dynamics	dynamic	NOUN
ispiv-130	1	87	.	.	PUNCT
ispiv-130	2	1	such	such	ADJ
ispiv-130	2	2	reducedorder	reducedorder	NOUN
ispiv-130	2	3	representation	representation	NOUN
ispiv-130	2	4	,	,	PUNCT
ispiv-130	2	5	in	in	ADP
ispiv-130	2	6	fact	fact	NOUN
ispiv-130	2	7	,	,	PUNCT
ispiv-130	2	8	has	have	VERB
ispiv-130	2	9	significant	significant	ADJ
ispiv-130	2	10	implications	implication	NOUN
ispiv-130	2	11	for	for	ADP
ispiv-130	2	12	the	the	DET
ispiv-130	2	13	understanding	understanding	NOUN
ispiv-130	2	14	of	of	ADP
ispiv-130	2	15	the	the	DET
ispiv-130	2	16	dynamics	dynamic	NOUN
ispiv-130	2	17	of	of	ADP
ispiv-130	2	18	flows	flow	NOUN
ispiv-130	2	19	,	,	PUNCT
ispiv-130	2	20	as	as	ADV
ispiv-130	2	21	well	well	ADV
ispiv-130	2	22	as	as	ADP
ispiv-130	2	23	their	their	PRON
ispiv-130	2	24	modeling	modeling	NOUN
ispiv-130	2	25	and	and	CCONJ
ispiv-130	2	26	control	control	NOUN
ispiv-130	2	27	(	(	PUNCT
ispiv-130	2	28	hussain	hussain	PROPN
ispiv-130	2	29	,	,	PUNCT
ispiv-130	2	30	1986	1986	NUM
ispiv-130	2	31	)	)	PUNCT
ispiv-130	2	32	.	.	PUNCT
ispiv-130	3	1	while	while	SCONJ
ispiv-130	3	2	the	the	DET
ispiv-130	3	3	eulerian	eulerian	ADJ
ispiv-130	3	4	framework	framework	NOUN
ispiv-130	3	5	has	have	AUX
ispiv-130	3	6	been	be	AUX
ispiv-130	3	7	extensively	extensively	ADV
ispiv-130	3	8	adopted	adopt	VERB
ispiv-130	3	9	for	for	ADP
ispiv-130	3	10	csd	csd	NOUN
ispiv-130	3	11	,	,	PUNCT
ispiv-130	3	12	lagrangian	lagrangian	ADJ
ispiv-130	3	13	coherent	coherent	ADJ
ispiv-130	3	14	structures	structure	NOUN
ispiv-130	3	15	have	have	AUX
ispiv-130	3	16	recently	recently	ADV
ispiv-130	3	17	received	receive	VERB
ispiv-130	3	18	increasing	increase	VERB
ispiv-130	3	19	attention	attention	NOUN
ispiv-130	3	20	,	,	PUNCT
ispiv-130	3	21	mainly	mainly	ADV
ispiv-130	3	22	driven	drive	VERB
ispiv-130	3	23	by	by	ADP
ispiv-130	3	24	advancements	advancement	NOUN
ispiv-130	3	25	in	in	ADP
ispiv-130	3	26	lagrangian	lagrangian	ADJ
ispiv-130	3	27	flow	flow	NOUN
ispiv-130	3	28	measurement	measurement	NOUN
ispiv-130	3	29	techniques	technique	NOUN
ispiv-130	3	30	(	(	PUNCT
ispiv-130	3	31	haller	haller	NOUN
ispiv-130	3	32	,	,	PUNCT
ispiv-130	3	33	2015	2015	NUM
ispiv-130	3	34	;	;	PUNCT
ispiv-130	3	35	hadjighasem	hadjighasem	PROPN
ispiv-130	3	36	et	et	PROPN
ispiv-130	3	37	al	al	PROPN
ispiv-130	3	38	.	.	PROPN
ispiv-130	3	39	,	,	PUNCT
ispiv-130	3	40	2017	2017	NUM
ispiv-130	3	41	)	)	PUNCT
ispiv-130	3	42	.	.	PUNCT
ispiv-130	4	1	lagrangian	lagrangian	ADJ
ispiv-130	4	2	particle	particle	NOUN
ispiv-130	4	3	tracking	tracking	NOUN
ispiv-130	4	4	(	(	PUNCT
ispiv-130	4	5	lpt	lpt	PROPN
ispiv-130	4	6	)	)	PUNCT
ispiv-130	4	7	,	,	PUNCT
ispiv-130	4	8	in	in	ADP
ispiv-130	4	9	particular	particular	ADJ
ispiv-130	4	10	,	,	PUNCT
ispiv-130	4	11	is	be	AUX
ispiv-130	4	12	widely	widely	ADV
ispiv-130	4	13	used	use	VERB
ispiv-130	4	14	nowadays	nowadays	ADV
ispiv-130	4	15	due	due	ADP
ispiv-130	4	16	to	to	ADP
ispiv-130	4	17	its	its	PRON
ispiv-130	4	18	ability	ability	NOUN
ispiv-130	4	19	to	to	AUX
ispiv-130	4	20	quantity	quantity	NOUN
ispiv-130	4	21	fluid	fluid	ADJ
ispiv-130	4	22	-	-	PUNCT
ispiv-130	4	23	parcel	parcel	NOUN
ispiv-130	4	24	trajectories	trajectory	NOUN
ispiv-130	4	25	in	in	ADP
ispiv-130	4	26	three	three	NUM
ispiv-130	4	27	-	-	PUNCT
ispiv-130	4	28	dimensional	dimensional	ADJ
ispiv-130	4	29	volumes	volume	NOUN
ispiv-130	4	30	(	(	PUNCT
ispiv-130	4	31	schanz	schanz	X
ispiv-130	4	32	et	et	PROPN
ispiv-130	4	33	al	al	PROPN
ispiv-130	4	34	.	.	PROPN
ispiv-130	4	35	,	,	PUNCT
ispiv-130	4	36	2016	2016	NUM
ispiv-130	4	37	)	)	PUNCT
ispiv-130	4	38	.	.	PUNCT
ispiv-130	5	1	differently	differently	ADV
ispiv-130	5	2	from	from	ADP
ispiv-130	5	3	eulerian	eulerian	ADJ
ispiv-130	5	4	coherent	coherent	ADJ
ispiv-130	5	5	structures	structure	NOUN
ispiv-130	5	6	–	–	PUNCT
ispiv-130	5	7	that	that	PRON
ispiv-130	5	8	are	be	AUX
ispiv-130	5	9	mainly	mainly	ADV
ispiv-130	5	10	based	base	VERB
ispiv-130	5	11	on	on	ADP
ispiv-130	5	12	velocity	velocity	NOUN
ispiv-130	5	13	gradient	gradient	NOUN
ispiv-130	5	14	tensor	tensor	NOUN
ispiv-130	5	15	(	(	PUNCT
ispiv-130	5	16	chen	chen	PROPN
ispiv-130	5	17	et	et	PROPN
ispiv-130	5	18	al	al	PROPN
ispiv-130	5	19	.	.	PROPN
ispiv-130	5	20	,	,	PUNCT
ispiv-130	5	21	2015	2015	NUM
ispiv-130	5	22	)	)	PUNCT
ispiv-130	5	23	,	,	PUNCT
ispiv-130	5	24	thus	thus	ADV
ispiv-130	5	25	requiring	require	VERB
ispiv-130	5	26	higher	high	ADJ
ispiv-130	5	27	data	datum	NOUN
ispiv-130	5	28	resolutions	resolution	NOUN
ispiv-130	5	29	–	–	PUNCT
ispiv-130	5	30	,	,	PUNCT
ispiv-130	5	31	the	the	DET
ispiv-130	5	32	lagrangian	lagrangian	ADJ
ispiv-130	5	33	framework	framework	NOUN
ispiv-130	5	34	provides	provide	VERB
ispiv-130	5	35	a	a	DET
ispiv-130	5	36	more	more	ADV
ispiv-130	5	37	suitable	suitable	ADJ
ispiv-130	5	38	representation	representation	NOUN
ispiv-130	5	39	to	to	PART
ispiv-130	5	40	characterize	characterize	VERB
ispiv-130	5	41	sparse	sparse	ADJ
ispiv-130	5	42	data	datum	NOUN
ispiv-130	5	43	.	.	PUNCT
ispiv-130	6	1	accordingly	accordingly	ADV
ispiv-130	6	2	,	,	PUNCT
ispiv-130	6	3	coherent	coherent	ADJ
ispiv-130	6	4	motion	motion	NOUN
ispiv-130	6	5	detection	detection	NOUN
ispiv-130	6	6	in	in	ADP
ispiv-130	6	7	the	the	DET
ispiv-130	6	8	lagrangian	lagrangian	ADJ
ispiv-130	6	9	viewpoint	viewpoint	NOUN
ispiv-130	6	10	naturally	naturally	ADV
ispiv-130	6	11	fits	fit	VERB
ispiv-130	6	12	real	real	ADJ
ispiv-130	6	13	-	-	PUNCT
ispiv-130	6	14	world	world	NOUN
ispiv-130	6	15	dataset	dataset	NOUN
ispiv-130	6	16	availability	availability	NOUN
ispiv-130	6	17	such	such	ADJ
ispiv-130	6	18	as	as	ADP
ispiv-130	6	19	,	,	PUNCT
ispiv-130	6	20	among	among	ADP
ispiv-130	6	21	others	other	NOUN
ispiv-130	6	22	,	,	PUNCT
ispiv-130	6	23	biological	biological	ADJ
ispiv-130	6	24	flows	flow	NOUN
ispiv-130	6	25	(	(	PUNCT
ispiv-130	6	26	tallapragada	tallapragada	NOUN
ispiv-130	6	27	et	et	NOUN
ispiv-130	6	28	al	al	PROPN
ispiv-130	6	29	.	.	PROPN
ispiv-130	6	30	,	,	PUNCT
ispiv-130	6	31	2011	2011	NUM
ispiv-130	6	32	)	)	PUNCT
ispiv-130	6	33	,	,	PUNCT
ispiv-130	6	34	atmospheric	atmospheric	ADJ
ispiv-130	6	35	flows	flow	NOUN
ispiv-130	6	36	(	(	PUNCT
ispiv-130	6	37	shnapp	shnapp	X
ispiv-130	6	38	et	et	PROPN
ispiv-130	6	39	al	al	PROPN
ispiv-130	6	40	.	.	PROPN
ispiv-130	6	41	,	,	PUNCT
ispiv-130	6	42	2019	2019	NUM
ispiv-130	6	43	)	)	PUNCT
ispiv-130	6	44	,	,	PUNCT
ispiv-130	6	45	as	as	ADV
ispiv-130	6	46	well	well	ADV
ispiv-130	6	47	as	as	ADP
ispiv-130	6	48	oceanic	oceanic	ADJ
ispiv-130	6	49	currents	current	NOUN
ispiv-130	6	50	(	(	PUNCT
ispiv-130	6	51	gould	gould	PROPN
ispiv-130	6	52	,	,	PUNCT
ispiv-130	6	53	2001	2001	NUM
ispiv-130	6	54	)	)	PUNCT
ispiv-130	6	55	.	.	PUNCT
ispiv-130	7	1	characteristic	characteristic	ADJ
ispiv-130	7	2	flow	flow	NOUN
ispiv-130	7	3	length	length	NOUN
ispiv-130	7	4	-	-	PUNCT
ispiv-130	7	5	scale	scale	NOUN
ispiv-130	7	6	,	,	PUNCT
ispiv-130	7	7	d	d	X
ispiv-130	7	8	streamline	streamline	VERB
ispiv-130	7	9	track	track	VERB
ispiv-130	7	10	lenght	lenght	ADJ
ispiv-130	7	11	network	network	NOUN
ispiv-130	7	12	temporal	temporal	ADJ
ispiv-130	7	13	evolution	evolution	PROPN
ispiv-130	7	14	&	&	CCONJ
ispiv-130	7	15	lcs	lcs	PROPN
ispiv-130	7	16	detection	detection	PROPN
ispiv-130	8	1	t	t	PROPN
ispiv-130	8	2	0	0	NUM
ispiv-130	9	1	t	t	PROPN
ispiv-130	9	2	i	i	PRON
ispiv-130	9	3	spatio	spatio	PROPN
ispiv-130	9	4	-	-	PUNCT
ispiv-130	9	5	temporal	temporal	ADJ
ispiv-130	9	6	coherencesparse	coherencesparse	NOUN
ispiv-130	9	7	data	datum	NOUN
ispiv-130	9	8	:	:	PUNCT
ispiv-130	9	9	λ	λ	X
ispiv-130	9	10	/	/	SYM
ispiv-130	9	11	d	d	PROPN
ispiv-130	9	12	≈	≈	PROPN
ispiv-130	9	13	10à1	10à1	NUM
ispiv-130	9	14	very	very	ADV
ispiv-130	9	15	-	-	PUNCT
ispiv-130	9	16	sparse	sparse	ADJ
ispiv-130	9	17	data	datum	NOUN
ispiv-130	9	18	:	:	PUNCT
ispiv-130	9	19	λ	λ	X
ispiv-130	9	20	/	/	SYM
ispiv-130	9	21	d	d	PROPN
ispiv-130	9	22	≈	≈	PROPN
ispiv-130	9	23	1	1	NUM
ispiv-130	9	24	λ	λ	NOUN
ispiv-130	9	25	figure	figure	NOUN
ispiv-130	9	26	1	1	NUM
ispiv-130	9	27	:	:	PUNCT
ispiv-130	9	28	schematic	schematic	ADJ
ispiv-130	9	29	of	of	ADP
ispiv-130	9	30	the	the	DET
ispiv-130	9	31	conceptual	conceptual	ADJ
ispiv-130	9	32	framework	framework	NOUN
ispiv-130	9	33	for	for	ADP
ispiv-130	9	34	csd	csd	NOUN
ispiv-130	9	35	from	from	ADP
ispiv-130	9	36	sparse	sparse	ADJ
ispiv-130	9	37	and	and	CCONJ
ispiv-130	9	38	very	very	ADV
ispiv-130	9	39	-	-	PUNCT
ispiv-130	9	40	sparse	sparse	ADJ
ispiv-130	9	41	lagrangian	lagrangian	ADJ
ispiv-130	9	42	data	datum	NOUN
ispiv-130	9	43	.	.	PUNCT
ispiv-130	10	1	(	(	PUNCT
ispiv-130	10	2	left	left	ADJ
ispiv-130	10	3	)	)	PUNCT
ispiv-130	10	4	sketch	sketch	NOUN
ispiv-130	10	5	of	of	ADP
ispiv-130	10	6	a	a	DET
ispiv-130	10	7	vortical	vortical	ADJ
ispiv-130	10	8	flow	flow	NOUN
ispiv-130	10	9	(	(	PUNCT
ispiv-130	10	10	blue	blue	PROPN
ispiv-130	10	11	dashed	dash	VERB
ispiv-130	10	12	arrows	arrow	NOUN
ispiv-130	10	13	)	)	PUNCT
ispiv-130	10	14	seeded	seed	VERB
ispiv-130	10	15	with	with	ADP
ispiv-130	10	16	sparse	sparse	ADJ
ispiv-130	10	17	and	and	CCONJ
ispiv-130	10	18	very	very	ADV
ispiv-130	10	19	-	-	PUNCT
ispiv-130	10	20	sparse	sparse	ADJ
ispiv-130	10	21	tracers	tracer	NOUN
ispiv-130	10	22	(	(	PUNCT
ispiv-130	10	23	green	green	ADJ
ispiv-130	10	24	filled	fill	VERB
ispiv-130	10	25	dots	dot	NOUN
ispiv-130	10	26	)	)	PUNCT
ispiv-130	10	27	and	and	CCONJ
ispiv-130	10	28	their	their	PRON
ispiv-130	10	29	tracks	track	NOUN
ispiv-130	10	30	(	(	PUNCT
ispiv-130	10	31	orange	orange	ADJ
ispiv-130	10	32	dotted	dot	VERB
ispiv-130	10	33	arrows	arrow	NOUN
ispiv-130	10	34	)	)	PUNCT
ispiv-130	10	35	;	;	PUNCT
ispiv-130	10	36	λ	λ	X
ispiv-130	10	37	is	be	AUX
ispiv-130	10	38	the	the	DET
ispiv-130	10	39	mean	mean	ADJ
ispiv-130	10	40	inter	inter	ADJ
ispiv-130	10	41	-	-	ADJ
ispiv-130	10	42	particle	particle	ADJ
ispiv-130	10	43	distance	distance	NOUN
ispiv-130	10	44	.	.	PUNCT
ispiv-130	11	1	(	(	PUNCT
ispiv-130	11	2	right	right	ADJ
ispiv-130	11	3	)	)	PUNCT
ispiv-130	11	4	network	network	NOUN
ispiv-130	11	5	evolution	evolution	NOUN
ispiv-130	11	6	for	for	ADP
ispiv-130	11	7	csd	csd	PROPN
ispiv-130	11	8	,	,	PUNCT
ispiv-130	11	9	where	where	SCONJ
ispiv-130	11	10	tracers	tracer	NOUN
ispiv-130	11	11	correspond	correspond	VERB
ispiv-130	11	12	to	to	ADP
ispiv-130	11	13	nodes	node	NOUN
ispiv-130	11	14	(	(	PUNCT
ispiv-130	11	15	green	green	ADJ
ispiv-130	11	16	dots	dot	NOUN
ispiv-130	11	17	)	)	PUNCT
ispiv-130	11	18	while	while	SCONJ
ispiv-130	11	19	links	link	NOUN
ispiv-130	11	20	are	be	AUX
ispiv-130	11	21	shown	show	VERB
ispiv-130	11	22	as	as	ADP
ispiv-130	11	23	black	black	ADJ
ispiv-130	11	24	lines	line	NOUN
ispiv-130	11	25	.	.	PUNCT
ispiv-130	12	1	several	several	ADJ
ispiv-130	12	2	techniques	technique	NOUN
ispiv-130	12	3	have	have	AUX
ispiv-130	12	4	been	be	AUX
ispiv-130	12	5	proposed	propose	VERB
ispiv-130	12	6	so	so	ADV
ispiv-130	12	7	far	far	ADV
ispiv-130	12	8	to	to	PART
ispiv-130	12	9	identify	identify	VERB
ispiv-130	12	10	coherent	coherent	ADJ
ispiv-130	12	11	motion	motion	NOUN
ispiv-130	12	12	from	from	ADP
ispiv-130	12	13	lagrangian	lagrangian	ADJ
ispiv-130	12	14	data	datum	NOUN
ispiv-130	12	15	(	(	PUNCT
ispiv-130	12	16	hadjighasem	hadjighasem	PROPN
ispiv-130	12	17	et	et	PROPN
ispiv-130	12	18	al	al	PROPN
ispiv-130	12	19	.	.	PROPN
ispiv-130	12	20	,	,	PUNCT
ispiv-130	12	21	2017	2017	NUM
ispiv-130	12	22	)	)	PUNCT
ispiv-130	12	23	,	,	PUNCT
ispiv-130	12	24	including	include	VERB
ispiv-130	12	25	finite	finite	NOUN
ispiv-130	12	26	-	-	PUNCT
ispiv-130	12	27	time	time	NOUN
ispiv-130	12	28	and	and	CCONJ
ispiv-130	12	29	finite	finite	ADJ
ispiv-130	12	30	-	-	ADJ
ispiv-130	12	31	space	space	ADJ
ispiv-130	12	32	lyapunov	lyapunov	NOUN
ispiv-130	12	33	exponents	exponent	NOUN
ispiv-130	12	34	(	(	PUNCT
ispiv-130	12	35	haller	haller	NOUN
ispiv-130	12	36	,	,	PUNCT
ispiv-130	12	37	2015	2015	NUM
ispiv-130	12	38	)	)	PUNCT
ispiv-130	12	39	,	,	PUNCT
ispiv-130	12	40	trajectory	trajectory	NOUN
ispiv-130	12	41	complexity	complexity	NOUN
ispiv-130	12	42	(	(	PUNCT
ispiv-130	12	43	rypina	rypina	PROPN
ispiv-130	12	44	et	et	PROPN
ispiv-130	12	45	al	al	PROPN
ispiv-130	12	46	.	.	PROPN
ispiv-130	12	47	,	,	PUNCT
ispiv-130	12	48	2011	2011	NUM
ispiv-130	12	49	)	)	PUNCT
ispiv-130	12	50	,	,	PUNCT
ispiv-130	12	51	transfer	transfer	NOUN
ispiv-130	12	52	operator	operator	NOUN
ispiv-130	12	53	-	-	PUNCT
ispiv-130	12	54	based	base	VERB
ispiv-130	12	55	methods	method	NOUN
ispiv-130	12	56	(	(	PUNCT
ispiv-130	12	57	ser	ser	NOUN
ispiv-130	12	58	-	-	PUNCT
ispiv-130	12	59	giacomi	giacomi	NOUN
ispiv-130	12	60	et	et	PROPN
ispiv-130	12	61	al	al	PROPN
ispiv-130	12	62	.	.	PROPN
ispiv-130	12	63	,	,	PUNCT
ispiv-130	12	64	2015	2015	NUM
ispiv-130	12	65	)	)	PUNCT
ispiv-130	12	66	,	,	PUNCT
ispiv-130	12	67	lagrangianaveraged	lagrangianaverage	VERB
ispiv-130	12	68	vorticity	vorticity	NOUN
ispiv-130	12	69	deviation	deviation	NOUN
ispiv-130	12	70	,	,	PUNCT
ispiv-130	12	71	as	as	ADV
ispiv-130	12	72	well	well	ADV
ispiv-130	12	73	as	as	ADP
ispiv-130	12	74	fuzzy	fuzzy	ADJ
ispiv-130	12	75	-	-	PUNCT
ispiv-130	12	76	clustering	cluster	VERB
ispiv-130	12	77	(	(	PUNCT
ispiv-130	12	78	froyland	froyland	NOUN
ispiv-130	12	79	and	and	CCONJ
ispiv-130	12	80	padberg	padberg	NOUN
ispiv-130	12	81	-	-	PUNCT
ispiv-130	12	82	gehle	gehle	NOUN
ispiv-130	12	83	,	,	PUNCT
ispiv-130	12	84	2015	2015	NUM
ispiv-130	12	85	)	)	PUNCT
ispiv-130	12	86	,	,	PUNCT
ispiv-130	12	87	and	and	CCONJ
ispiv-130	12	88	spectral	spectral	ADJ
ispiv-130	12	89	clustering	clustering	NOUN
ispiv-130	12	90	(	(	PUNCT
ispiv-130	12	91	schlueter	schlueter	NOUN
ispiv-130	12	92	-	-	PUNCT
ispiv-130	12	93	kuck	kuck	NOUN
ispiv-130	12	94	and	and	CCONJ
ispiv-130	12	95	dabiri	dabiri	NOUN
ispiv-130	12	96	,	,	PUNCT
ispiv-130	12	97	2017	2017	NUM
ispiv-130	12	98	;	;	PUNCT
ispiv-130	12	99	schneide	schneide	PROPN
ispiv-130	12	100	et	et	PROPN
ispiv-130	12	101	al	al	PROPN
ispiv-130	12	102	.	.	PROPN
ispiv-130	12	103	,	,	PUNCT
ispiv-130	12	104	2018	2018	NUM
ispiv-130	12	105	;	;	PUNCT
ispiv-130	12	106	martins	martin	NOUN
ispiv-130	12	107	et	et	NOUN
ispiv-130	12	108	al	al	PROPN
ispiv-130	12	109	.	.	PROPN
ispiv-130	12	110	,	,	PUNCT
ispiv-130	12	111	2021	2021	NUM
ispiv-130	12	112	)	)	PUNCT
ispiv-130	12	113	.	.	PUNCT
ispiv-130	13	1	although	although	SCONJ
ispiv-130	13	2	all	all	DET
ispiv-130	13	3	these	these	DET
ispiv-130	13	4	techniques	technique	NOUN
ispiv-130	13	5	have	have	AUX
ispiv-130	13	6	been	be	AUX
ispiv-130	13	7	tested	test	VERB
ispiv-130	13	8	to	to	PART
ispiv-130	13	9	work	work	VERB
ispiv-130	13	10	reasonably	reasonably	ADV
ispiv-130	13	11	well	well	ADV
ispiv-130	13	12	for	for	SCONJ
ispiv-130	13	13	2d	2d	NUM
ispiv-130	13	14	flows	flow	NOUN
ispiv-130	13	15	through	through	ADP
ispiv-130	13	16	densely	densely	ADV
ispiv-130	13	17	-	-	PUNCT
ispiv-130	13	18	seeded	seeded	ADJ
ispiv-130	13	19	particle	particle	NOUN
ispiv-130	13	20	distributions	distribution	NOUN
ispiv-130	13	21	,	,	PUNCT
ispiv-130	13	22	they	they	PRON
ispiv-130	13	23	usually	usually	ADV
ispiv-130	13	24	tend	tend	VERB
ispiv-130	13	25	to	to	PART
ispiv-130	13	26	fail	fail	VERB
ispiv-130	13	27	in	in	ADP
ispiv-130	13	28	identifying	identify	VERB
ispiv-130	13	29	the	the	DET
ispiv-130	13	30	flow	flow	NOUN
ispiv-130	13	31	behavior	behavior	NOUN
ispiv-130	13	32	for	for	ADP
ispiv-130	13	33	sparse	sparse	ADJ
ispiv-130	13	34	or	or	CCONJ
ispiv-130	13	35	very	very	ADV
ispiv-130	13	36	-	-	PUNCT
ispiv-130	13	37	sparse	sparse	ADJ
ispiv-130	13	38	data	datum	NOUN
ispiv-130	13	39	.	.	PUNCT
ispiv-130	14	1	in	in	ADP
ispiv-130	14	2	this	this	DET
ispiv-130	14	3	regard	regard	NOUN
ispiv-130	14	4	,	,	PUNCT
ispiv-130	14	5	sparse	sparse	ADJ
ispiv-130	14	6	and	and	CCONJ
ispiv-130	14	7	very	very	ADV
ispiv-130	14	8	-	-	PUNCT
ispiv-130	14	9	sparse	sparse	ADJ
ispiv-130	14	10	lagrangian	lagrangian	ADJ
ispiv-130	14	11	data	datum	NOUN
ispiv-130	14	12	are	be	AUX
ispiv-130	14	13	characterized	characterize	VERB
ispiv-130	14	14	by	by	ADP
ispiv-130	14	15	extremely	extremely	ADV
ispiv-130	14	16	low	low	ADJ
ispiv-130	14	17	particle	particle	NOUN
ispiv-130	14	18	densities	density	NOUN
ispiv-130	14	19	per	per	ADP
ispiv-130	14	20	characteristic	characteristic	ADJ
ispiv-130	14	21	flow	flow	NOUN
ispiv-130	14	22	scale	scale	NOUN
ispiv-130	14	23	,	,	PUNCT
ispiv-130	14	24	namely	namely	ADV
ispiv-130	14	25	o(10−1	o(10−1	ADJ
ispiv-130	14	26	)	)	PUNCT
ispiv-130	14	27	and	and	CCONJ
ispiv-130	14	28	o(100	o(100	NOUN
ispiv-130	14	29	)	)	PUNCT
ispiv-130	14	30	tracers	tracer	NOUN
ispiv-130	14	31	per	per	ADP
ispiv-130	14	32	integral	integral	ADJ
ispiv-130	14	33	length	length	NOUN
ispiv-130	14	34	scale	scale	NOUN
ispiv-130	14	35	in	in	ADP
ispiv-130	14	36	the	the	DET
ispiv-130	14	37	flow	flow	NOUN
ispiv-130	14	38	,	,	PUNCT
ispiv-130	14	39	respectively	respectively	ADV
ispiv-130	14	40	(	(	PUNCT
ispiv-130	14	41	see	see	VERB
ispiv-130	14	42	figure	figure	NOUN
ispiv-130	14	43	1	1	NUM
ispiv-130	14	44	,	,	PUNCT
ispiv-130	14	45	left	leave	VERB
ispiv-130	14	46	)	)	PUNCT
ispiv-130	14	47	.	.	PUNCT
ispiv-130	15	1	moreover	moreover	ADV
ispiv-130	15	2	,	,	PUNCT
ispiv-130	15	3	short	short	ADJ
ispiv-130	15	4	track	track	NOUN
ispiv-130	15	5	lengths	length	NOUN
ispiv-130	15	6	contribute	contribute	VERB
ispiv-130	15	7	to	to	ADP
ispiv-130	15	8	the	the	DET
ispiv-130	15	9	strong	strong	ADJ
ispiv-130	15	10	sparsity	sparsity	NOUN
ispiv-130	15	11	of	of	ADP
ispiv-130	15	12	the	the	DET
ispiv-130	15	13	data	datum	NOUN
ispiv-130	15	14	.	.	PUNCT
ispiv-130	16	1	our	our	PRON
ispiv-130	16	2	work	work	NOUN
ispiv-130	16	3	proposes	propose	VERB
ispiv-130	16	4	a	a	DET
ispiv-130	16	5	new	new	ADJ
ispiv-130	16	6	network	network	NOUN
ispiv-130	16	7	-	-	PUNCT
ispiv-130	16	8	based	base	VERB
ispiv-130	16	9	framework	framework	NOUN
ispiv-130	16	10	(	(	PUNCT
ispiv-130	16	11	figure	figure	NOUN
ispiv-130	16	12	1	1	NUM
ispiv-130	16	13	,	,	PUNCT
ispiv-130	16	14	right	right	ADJ
ispiv-130	16	15	)	)	PUNCT
ispiv-130	16	16	that	that	PRON
ispiv-130	16	17	can	can	AUX
ispiv-130	16	18	be	be	AUX
ispiv-130	16	19	specifically	specifically	ADV
ispiv-130	16	20	suitable	suitable	ADJ
ispiv-130	16	21	for	for	ADP
ispiv-130	16	22	very	very	ADV
ispiv-130	16	23	-	-	PUNCT
ispiv-130	16	24	sparse	sparse	ADJ
ispiv-130	16	25	lagrangian	lagrangian	ADJ
ispiv-130	16	26	data	datum	NOUN
ispiv-130	16	27	from	from	ADP
ispiv-130	16	28	3d	3d	PROPN
ispiv-130	16	29	experimental	experimental	ADJ
ispiv-130	16	30	(	(	PUNCT
ispiv-130	16	31	realistic	realistic	ADJ
ispiv-130	16	32	)	)	PUNCT
ispiv-130	16	33	flows	flow	NOUN
ispiv-130	16	34	.	.	PUNCT
ispiv-130	17	1	in	in	ADP
ispiv-130	17	2	particular	particular	ADJ
ispiv-130	17	3	,	,	PUNCT
ispiv-130	17	4	our	our	PRON
ispiv-130	17	5	methodology	methodology	NOUN
ispiv-130	17	6	aims	aim	VERB
ispiv-130	17	7	to	to	PART
ispiv-130	17	8	exploit	exploit	VERB
ispiv-130	17	9	the	the	DET
ispiv-130	17	10	instantaneous	instantaneous	ADJ
ispiv-130	17	11	features	feature	NOUN
ispiv-130	17	12	of	of	ADP
ispiv-130	17	13	the	the	DET
ispiv-130	17	14	trajectories	trajectory	NOUN
ispiv-130	17	15	(	(	PUNCT
ispiv-130	17	16	e.g.	e.g.	ADV
ispiv-130	17	17	,	,	PUNCT
ispiv-130	17	18	local	local	ADJ
ispiv-130	17	19	geometry	geometry	NOUN
ispiv-130	17	20	or	or	CCONJ
ispiv-130	17	21	local	local	ADJ
ispiv-130	17	22	flow	flow	NOUN
ispiv-130	17	23	fields	field	NOUN
ispiv-130	17	24	)	)	PUNCT
ispiv-130	17	25	to	to	PART
ispiv-130	17	26	provide	provide	VERB
ispiv-130	17	27	a	a	DET
ispiv-130	17	28	spatio	spatio	ADJ
ispiv-130	17	29	-	-	PUNCT
ispiv-130	17	30	temporal	temporal	ADJ
ispiv-130	17	31	characterization	characterization	NOUN
ispiv-130	17	32	the	the	DET
ispiv-130	17	33	flow	flow	NOUN
ispiv-130	17	34	.	.	PUNCT
ispiv-130	18	1	this	this	DET
ispiv-130	18	2	procedure	procedure	NOUN
ispiv-130	18	3	is	be	AUX
ispiv-130	18	4	in	in	ADP
ispiv-130	18	5	contrast	contrast	NOUN
ispiv-130	18	6	with	with	ADP
ispiv-130	18	7	the	the	DET
ispiv-130	18	8	classical	classical	ADJ
ispiv-130	18	9	integral	integral	ADJ
ispiv-130	18	10	approaches	approach	NOUN
ispiv-130	18	11	of	of	ADP
ispiv-130	18	12	previously	previously	ADV
ispiv-130	18	13	-	-	PUNCT
ispiv-130	18	14	proposed	propose	VERB
ispiv-130	18	15	techniques	technique	NOUN
ispiv-130	18	16	(	(	PUNCT
ispiv-130	18	17	as	as	SCONJ
ispiv-130	18	18	mentioned	mention	VERB
ispiv-130	18	19	above	above	ADV
ispiv-130	18	20	)	)	PUNCT
ispiv-130	18	21	,	,	PUNCT
ispiv-130	18	22	where	where	SCONJ
ispiv-130	18	23	the	the	DET
ispiv-130	18	24	features	feature	NOUN
ispiv-130	18	25	of	of	ADP
ispiv-130	18	26	the	the	DET
ispiv-130	18	27	whole	whole	ADJ
ispiv-130	18	28	trajectory	trajectory	NOUN
ispiv-130	18	29	are	be	AUX
ispiv-130	18	30	evaluated	evaluate	VERB
ispiv-130	18	31	over	over	ADP
ispiv-130	18	32	an	an	DET
ispiv-130	18	33	extended	extended	ADJ
ispiv-130	18	34	temporal	temporal	ADJ
ispiv-130	18	35	interval	interval	NOUN
ispiv-130	18	36	.	.	PUNCT
ispiv-130	19	1	this	this	DET
ispiv-130	19	2	operation	operation	NOUN
ispiv-130	19	3	,	,	PUNCT
ispiv-130	19	4	in	in	ADP
ispiv-130	19	5	fact	fact	NOUN
ispiv-130	19	6	,	,	PUNCT
ispiv-130	19	7	reduces	reduce	VERB
ispiv-130	19	8	the	the	DET
ispiv-130	19	9	features	feature	NOUN
ispiv-130	19	10	of	of	ADP
ispiv-130	19	11	the	the	DET
ispiv-130	19	12	whole	whole	ADJ
ispiv-130	19	13	trajectory	trajectory	NOUN
ispiv-130	19	14	to	to	ADP
ispiv-130	19	15	a	a	DET
ispiv-130	19	16	scalar	scalar	ADJ
ispiv-130	19	17	value	value	NOUN
ispiv-130	19	18	at	at	ADP
ispiv-130	19	19	the	the	DET
ispiv-130	19	20	starting	starting	NOUN
ispiv-130	19	21	or	or	CCONJ
ispiv-130	19	22	final	final	ADJ
ispiv-130	19	23	particle	particle	NOUN
ispiv-130	19	24	position	position	NOUN
ispiv-130	19	25	,	,	PUNCT
ispiv-130	19	26	thus	thus	ADV
ispiv-130	19	27	leading	lead	VERB
ispiv-130	19	28	to	to	ADP
ispiv-130	19	29	a	a	DET
ispiv-130	19	30	very	very	ADV
ispiv-130	19	31	-	-	PUNCT
ispiv-130	19	32	sparse	sparse	ADJ
ispiv-130	19	33	representation	representation	NOUN
ispiv-130	19	34	of	of	ADP
ispiv-130	19	35	the	the	DET
ispiv-130	19	36	flow	flow	NOUN
ispiv-130	19	37	dynamics	dynamic	NOUN
ispiv-130	19	38	when	when	SCONJ
ispiv-130	19	39	very	very	ADV
ispiv-130	19	40	-	-	PUNCT
ispiv-130	19	41	sparse	sparse	ADJ
ispiv-130	19	42	data	datum	NOUN
ispiv-130	19	43	are	be	AUX
ispiv-130	19	44	used	use	VERB
ispiv-130	19	45	.	.	PUNCT
ispiv-130	20	1	moreover	moreover	ADV
ispiv-130	20	2	,	,	PUNCT
ispiv-130	20	3	our	our	PRON
ispiv-130	20	4	new	new	ADJ
ispiv-130	20	5	perspective	perspective	NOUN
ispiv-130	20	6	can	can	AUX
ispiv-130	20	7	be	be	AUX
ispiv-130	20	8	suitable	suitable	ADJ
ispiv-130	20	9	for	for	ADP
ispiv-130	20	10	the	the	DET
ispiv-130	20	11	analysis	analysis	NOUN
ispiv-130	20	12	of	of	ADP
ispiv-130	20	13	unsteady	unsteady	ADJ
ispiv-130	20	14	flows	flow	NOUN
ispiv-130	20	15	,	,	PUNCT
ispiv-130	20	16	since	since	SCONJ
ispiv-130	20	17	the	the	DET
ispiv-130	20	18	behavior	behavior	NOUN
ispiv-130	20	19	of	of	ADP
ispiv-130	20	20	the	the	DET
ispiv-130	20	21	particle	particle	NOUN
ispiv-130	20	22	trajectories	trajectory	NOUN
ispiv-130	20	23	are	be	AUX
ispiv-130	20	24	assessed	assess	VERB
ispiv-130	20	25	over	over	ADP
ispiv-130	20	26	time	time	NOUN
ispiv-130	20	27	.	.	PUNCT
ispiv-130	21	1	although	although	SCONJ
ispiv-130	21	2	very	very	ADV
ispiv-130	21	3	-	-	PUNCT
ispiv-130	21	4	sparse	sparse	ADJ
ispiv-130	21	5	lagrangian	lagrangian	ADJ
ispiv-130	21	6	trajectories	trajectory	NOUN
ispiv-130	21	7	represent	represent	VERB
ispiv-130	21	8	a	a	DET
ispiv-130	21	9	challenge	challenge	NOUN
ispiv-130	21	10	for	for	ADP
ispiv-130	21	11	csd	csd	NOUN
ispiv-130	21	12	,	,	PUNCT
ispiv-130	21	13	they	they	PRON
ispiv-130	21	14	frequently	frequently	ADV
ispiv-130	21	15	appear	appear	VERB
ispiv-130	21	16	in	in	ADP
ispiv-130	21	17	experiments	experiment	NOUN
ispiv-130	21	18	.	.	PUNCT
ispiv-130	22	1	accordingly	accordingly	ADV
ispiv-130	22	2	,	,	PUNCT
ispiv-130	22	3	we	we	PRON
ispiv-130	22	4	have	have	AUX
ispiv-130	22	5	been	be	AUX
ispiv-130	22	6	carrying	carry	VERB
ispiv-130	22	7	out	out	ADP
ispiv-130	22	8	experimental	experimental	ADJ
ispiv-130	22	9	measurements	measurement	NOUN
ispiv-130	22	10	on	on	ADP
ispiv-130	22	11	three	three	NUM
ispiv-130	22	12	-	-	PUNCT
ispiv-130	22	13	dimensional	dimensional	ADJ
ispiv-130	22	14	vortical	vortical	ADJ
ispiv-130	22	15	flows	flow	NOUN
ispiv-130	22	16	to	to	PART
ispiv-130	22	17	test	test	VERB
ispiv-130	22	18	our	our	PRON
ispiv-130	22	19	ideas	idea	NOUN
ispiv-130	22	20	based	base	VERB
ispiv-130	22	21	on	on	ADP
ispiv-130	22	22	the	the	DET
ispiv-130	22	23	aforementioned	aforementioned	ADJ
ispiv-130	22	24	network	network	NOUN
ispiv-130	22	25	-	-	PUNCT
ispiv-130	22	26	based	base	VERB
ispiv-130	22	27	approach	approach	NOUN
ispiv-130	22	28	.	.	PUNCT
ispiv-130	23	1	in	in	ADP
ispiv-130	23	2	particular	particular	ADJ
ispiv-130	23	3	,	,	PUNCT
ispiv-130	23	4	particle	particle	NOUN
ispiv-130	23	5	tracking	tracking	NOUN
ispiv-130	23	6	of	of	ADP
ispiv-130	23	7	seeded	seeded	ADJ
ispiv-130	23	8	bubbles	bubble	NOUN
ispiv-130	23	9	is	be	AUX
ispiv-130	23	10	currently	currently	ADV
ispiv-130	23	11	in	in	ADP
ispiv-130	23	12	development	development	NOUN
ispiv-130	23	13	to	to	PART
ispiv-130	23	14	extract	extract	VERB
ispiv-130	23	15	very	very	ADV
ispiv-130	23	16	-	-	PUNCT
ispiv-130	23	17	sparse	sparse	ADJ
ispiv-130	23	18	trajectories	trajectory	NOUN
ispiv-130	23	19	that	that	PRON
ispiv-130	23	20	allows	allow	VERB
ispiv-130	23	21	us	we	PRON
ispiv-130	23	22	to	to	PART
ispiv-130	23	23	assess	assess	VERB
ispiv-130	23	24	the	the	DET
ispiv-130	23	25	effectiveness	effectiveness	NOUN
ispiv-130	23	26	of	of	ADP
ispiv-130	23	27	the	the	DET
ispiv-130	23	28	proposed	propose	VERB
ispiv-130	23	29	method	method	NOUN
ispiv-130	23	30	.	.	PUNCT
ispiv-130	24	1	results	result	NOUN
ispiv-130	24	2	related	relate	VERB
ispiv-130	24	3	to	to	ADP
ispiv-130	24	4	the	the	DET
ispiv-130	24	5	test	test	NOUN
ispiv-130	24	6	case	case	NOUN
ispiv-130	24	7	can	can	AUX
ispiv-130	24	8	hence	hence	ADV
ispiv-130	24	9	pave	pave	VERB
ispiv-130	24	10	the	the	DET
ispiv-130	24	11	way	way	NOUN
ispiv-130	24	12	for	for	ADP
ispiv-130	24	13	the	the	DET
ispiv-130	24	14	analysis	analysis	NOUN
ispiv-130	24	15	of	of	ADP
ispiv-130	24	16	a	a	DET
ispiv-130	24	17	variety	variety	NOUN
ispiv-130	24	18	of	of	ADP
ispiv-130	24	19	other	other	ADJ
ispiv-130	24	20	experimental	experimental	ADJ
ispiv-130	24	21	data	data	NOUN
ispiv-130	24	22	sets	set	NOUN
ispiv-130	24	23	,	,	PUNCT
ispiv-130	24	24	so	so	SCONJ
ispiv-130	24	25	as	as	SCONJ
ispiv-130	24	26	to	to	PART
ispiv-130	24	27	gain	gain	VERB
ispiv-130	24	28	insight	insight	NOUN
ispiv-130	24	29	into	into	ADP
ispiv-130	24	30	realistic	realistic	ADJ
ispiv-130	24	31	flows	flow	NOUN
ispiv-130	24	32	characterized	characterize	VERB
ispiv-130	24	33	by	by	ADP
ispiv-130	24	34	very	very	ADV
ispiv-130	24	35	-	-	PUNCT
ispiv-130	24	36	sparse	sparse	ADJ
ispiv-130	24	37	lagrangian	lagrangian	ADJ
ispiv-130	24	38	trajectories	trajectory	NOUN
ispiv-130	24	39	.	.	PUNCT
ispiv-130	25	1	in	in	ADP
ispiv-130	25	2	conclusion	conclusion	NOUN
ispiv-130	25	3	,	,	PUNCT
ispiv-130	25	4	the	the	DET
ispiv-130	25	5	combination	combination	NOUN
ispiv-130	25	6	of	of	ADP
ispiv-130	25	7	advances	advance	NOUN
ispiv-130	25	8	in	in	ADP
ispiv-130	25	9	lpt	lpt	PROPN
ispiv-130	25	10	and	and	CCONJ
ispiv-130	25	11	the	the	DET
ispiv-130	25	12	wide	wide	ADJ
ispiv-130	25	13	spectrum	spectrum	NOUN
ispiv-130	25	14	of	of	ADP
ispiv-130	25	15	possible	possible	ADJ
ispiv-130	25	16	applications	application	NOUN
ispiv-130	25	17	,	,	PUNCT
ispiv-130	25	18	in	in	ADP
ispiv-130	25	19	conjunction	conjunction	NOUN
ispiv-130	25	20	with	with	ADP
ispiv-130	25	21	the	the	DET
ispiv-130	25	22	growing	grow	VERB
ispiv-130	25	23	development	development	NOUN
ispiv-130	25	24	of	of	ADP
ispiv-130	25	25	networkbased	networkbased	ADJ
ispiv-130	25	26	techniques	technique	NOUN
ispiv-130	25	27	in	in	ADP
ispiv-130	25	28	fluid	fluid	ADJ
ispiv-130	25	29	mechanics	mechanic	NOUN
ispiv-130	25	30	(	(	PUNCT
ispiv-130	25	31	iacobello	iacobello	VERB
ispiv-130	25	32	et	et	PROPN
ispiv-130	25	33	al	al	PROPN
ispiv-130	25	34	.	.	PROPN
ispiv-130	25	35	,	,	PUNCT
ispiv-130	25	36	2020	2020	NUM
ispiv-130	25	37	)	)	PUNCT
ispiv-130	25	38	,	,	PUNCT
ispiv-130	25	39	potentially	potentially	ADV
ispiv-130	25	40	makes	make	VERB
ispiv-130	25	41	our	our	PRON
ispiv-130	25	42	approach	approach	NOUN
ispiv-130	25	43	an	an	DET
ispiv-130	25	44	effective	effective	ADJ
ispiv-130	25	45	alternative	alternative	NOUN
ispiv-130	25	46	for	for	ADP
ispiv-130	25	47	csd	csd	NOUN
ispiv-130	25	48	.	.	PUNCT
ispiv-130	26	1	references	reference	NOUN
ispiv-130	26	2	chen	chen	PROPN
ispiv-130	26	3	q	q	X
ispiv-130	26	4	,	,	PUNCT
ispiv-130	26	5	zhong	zhong	PROPN
ispiv-130	26	6	q	q	PROPN
ispiv-130	26	7	,	,	PUNCT
ispiv-130	26	8	qi	qi	PROPN
ispiv-130	26	9	m	m	PROPN
ispiv-130	26	10	,	,	PUNCT
ispiv-130	26	11	and	and	CCONJ
ispiv-130	26	12	wang	wang	PROPN
ispiv-130	26	13	x	x	X
ispiv-130	26	14	(	(	PUNCT
ispiv-130	26	15	2015	2015	NUM
ispiv-130	26	16	)	)	PUNCT
ispiv-130	26	17	comparison	comparison	NOUN
ispiv-130	26	18	of	of	ADP
ispiv-130	26	19	vortex	vortex	NOUN
ispiv-130	26	20	identification	identification	NOUN
ispiv-130	26	21	criteria	criterion	NOUN
ispiv-130	26	22	for	for	ADP
ispiv-130	26	23	planar	planar	ADJ
ispiv-130	26	24	velocity	velocity	NOUN
ispiv-130	26	25	fields	field	NOUN
ispiv-130	26	26	in	in	ADP
ispiv-130	26	27	wall	wall	NOUN
ispiv-130	26	28	turbulence	turbulence	NOUN
ispiv-130	26	29	.	.	PUNCT
ispiv-130	27	1	physics	physics	NOUN
ispiv-130	27	2	of	of	ADP
ispiv-130	27	3	fluids	fluid	NOUN
ispiv-130	27	4	27:085101	27:085101	NUM
ispiv-130	27	5	froyland	froyland	NOUN
ispiv-130	27	6	g	g	PROPN
ispiv-130	27	7	and	and	CCONJ
ispiv-130	27	8	padberg	padberg	ADV
ispiv-130	27	9	-	-	PUNCT
ispiv-130	27	10	gehle	gehle	NOUN
ispiv-130	27	11	k	k	PROPN
ispiv-130	27	12	(	(	PUNCT
ispiv-130	27	13	2015	2015	NUM
ispiv-130	27	14	)	)	PUNCT
ispiv-130	27	15	a	a	DET
ispiv-130	27	16	rough	rough	ADJ
ispiv-130	27	17	-	-	PUNCT
ispiv-130	27	18	and	and	CCONJ
ispiv-130	27	19	-	-	PUNCT
ispiv-130	27	20	ready	ready	ADJ
ispiv-130	27	21	cluster	cluster	NOUN
ispiv-130	27	22	-	-	PUNCT
ispiv-130	27	23	based	base	VERB
ispiv-130	27	24	approach	approach	NOUN
ispiv-130	27	25	for	for	ADP
ispiv-130	27	26	extracting	extract	VERB
ispiv-130	27	27	finitetime	finitetime	ADJ
ispiv-130	27	28	coherent	coherent	ADJ
ispiv-130	27	29	sets	set	NOUN
ispiv-130	27	30	from	from	ADP
ispiv-130	27	31	sparse	sparse	ADJ
ispiv-130	27	32	and	and	CCONJ
ispiv-130	27	33	incomplete	incomplete	ADJ
ispiv-130	27	34	trajectory	trajectory	NOUN
ispiv-130	27	35	data	data	PROPN
ispiv-130	27	36	.	.	PUNCT
ispiv-130	28	1	chaos	chaos	NOUN
ispiv-130	28	2	25:087406	25:087406	NUM
ispiv-130	28	3	gould	gould	PROPN
ispiv-130	28	4	wj	wj	PROPN
ispiv-130	28	5	(	(	PUNCT
ispiv-130	28	6	2001	2001	NUM
ispiv-130	28	7	)	)	PUNCT
ispiv-130	28	8	direct	direct	ADJ
ispiv-130	28	9	measurement	measurement	NOUN
ispiv-130	28	10	of	of	ADP
ispiv-130	28	11	subsurface	subsurface	NOUN
ispiv-130	28	12	ocean	ocean	NOUN
ispiv-130	28	13	currents	current	NOUN
ispiv-130	28	14	:	:	PUNCT
ispiv-130	28	15	a	a	DET
ispiv-130	28	16	success	success	NOUN
ispiv-130	28	17	story	story	NOUN
ispiv-130	28	18	.	.	PUNCT
ispiv-130	29	1	ucl	ucl	PROPN
ispiv-130	29	2	press	press	PROPN
ispiv-130	29	3	hadjighasem	hadjighasem	PROPN
ispiv-130	29	4	a	a	PROPN
ispiv-130	29	5	,	,	PUNCT
ispiv-130	29	6	farazmand	farazmand	NOUN
ispiv-130	29	7	m	m	NOUN
ispiv-130	29	8	,	,	PUNCT
ispiv-130	29	9	blazevski	blazevski	PROPN
ispiv-130	29	10	d	d	PROPN
ispiv-130	29	11	,	,	PUNCT
ispiv-130	29	12	froyland	froyland	NOUN
ispiv-130	29	13	g	g	NOUN
ispiv-130	29	14	,	,	PUNCT
ispiv-130	29	15	and	and	CCONJ
ispiv-130	29	16	haller	haller	PROPN
ispiv-130	29	17	g	g	PROPN
ispiv-130	29	18	(	(	PUNCT
ispiv-130	29	19	2017	2017	NUM
ispiv-130	29	20	)	)	PUNCT
ispiv-130	29	21	a	a	DET
ispiv-130	29	22	critical	critical	ADJ
ispiv-130	29	23	comparison	comparison	NOUN
ispiv-130	29	24	of	of	ADP
ispiv-130	29	25	lagrangian	lagrangian	ADJ
ispiv-130	29	26	methods	method	NOUN
ispiv-130	29	27	for	for	ADP
ispiv-130	29	28	coherent	coherent	ADJ
ispiv-130	29	29	structure	structure	NOUN
ispiv-130	29	30	detection	detection	NOUN
ispiv-130	29	31	.	.	PUNCT
ispiv-130	30	1	chaos	chaos	NOUN
ispiv-130	30	2	27:053104	27:053104	PROPN
ispiv-130	31	1	haller	haller	PROPN
ispiv-130	31	2	g	g	PROPN
ispiv-130	31	3	(	(	PUNCT
ispiv-130	31	4	2015	2015	NUM
ispiv-130	31	5	)	)	PUNCT
ispiv-130	31	6	lagrangian	lagrangian	ADJ
ispiv-130	31	7	coherent	coherent	ADJ
ispiv-130	31	8	structures	structure	NOUN
ispiv-130	31	9	.	.	PUNCT
ispiv-130	32	1	annual	annual	ADJ
ispiv-130	32	2	review	review	NOUN
ispiv-130	32	3	of	of	ADP
ispiv-130	32	4	fluid	fluid	ADJ
ispiv-130	32	5	mechanics	mechanic	NOUN
ispiv-130	32	6	47:137–162	47:137–162	NUM
ispiv-130	32	7	hussain	hussain	VERB
ispiv-130	32	8	af	af	PROPN
ispiv-130	32	9	(	(	PUNCT
ispiv-130	32	10	1986	1986	NUM
ispiv-130	32	11	)	)	PUNCT
ispiv-130	32	12	coherent	coherent	ADJ
ispiv-130	32	13	structures	structure	NOUN
ispiv-130	32	14	and	and	CCONJ
ispiv-130	32	15	turbulence	turbulence	NOUN
ispiv-130	32	16	.	.	PUNCT
ispiv-130	33	1	journal	journal	NOUN
ispiv-130	33	2	of	of	ADP
ispiv-130	33	3	fluid	fluid	ADJ
ispiv-130	33	4	mechanics	mechanic	NOUN
ispiv-130	33	5	173:303–356	173:303–356	NUM
ispiv-130	33	6	iacobello	iacobello	VERB
ispiv-130	33	7	g	g	NOUN
ispiv-130	33	8	,	,	PUNCT
ispiv-130	33	9	ridolfi	ridolfi	ADJ
ispiv-130	33	10	l	l	NOUN
ispiv-130	33	11	,	,	PUNCT
ispiv-130	33	12	and	and	CCONJ
ispiv-130	33	13	scarsoglio	scarsoglio	NOUN
ispiv-130	33	14	s	s	PROPN
ispiv-130	33	15	(	(	PUNCT
ispiv-130	33	16	2020	2020	NUM
ispiv-130	33	17	)	)	PUNCT
ispiv-130	33	18	a	a	DET
ispiv-130	33	19	review	review	NOUN
ispiv-130	33	20	on	on	ADP
ispiv-130	33	21	turbulent	turbulent	ADJ
ispiv-130	33	22	and	and	CCONJ
ispiv-130	33	23	vortical	vortical	ADJ
ispiv-130	33	24	flow	flow	NOUN
ispiv-130	33	25	analyses	analysis	NOUN
ispiv-130	33	26	via	via	ADP
ispiv-130	33	27	complex	complex	ADJ
ispiv-130	33	28	networks	network	NOUN
ispiv-130	33	29	.	.	PUNCT
ispiv-130	34	1	physica	physica	VERB
ispiv-130	34	2	a	a	DET
ispiv-130	34	3	:	:	PUNCT
ispiv-130	34	4	statistical	statistical	ADJ
ispiv-130	34	5	mechanics	mechanic	NOUN
ispiv-130	34	6	and	and	CCONJ
ispiv-130	34	7	its	its	PRON
ispiv-130	34	8	applications	application	NOUN
ispiv-130	34	9	page	page	NOUN
ispiv-130	34	10	125476	125476	NUM
ispiv-130	34	11	martins	martin	VERB
ispiv-130	34	12	f	f	NUM
ispiv-130	34	13	,	,	PUNCT
ispiv-130	34	14	sciacchitano	sciacchitano	VERB
ispiv-130	34	15	a	a	PRON
ispiv-130	34	16	,	,	PUNCT
ispiv-130	34	17	and	and	CCONJ
ispiv-130	34	18	rival	rival	ADJ
ispiv-130	34	19	d	d	PROPN
ispiv-130	34	20	(	(	PUNCT
ispiv-130	34	21	2021	2021	NUM
ispiv-130	34	22	)	)	PUNCT
ispiv-130	34	23	detection	detection	NOUN
ispiv-130	34	24	of	of	ADP
ispiv-130	34	25	vortical	vortical	ADJ
ispiv-130	34	26	structures	structure	NOUN
ispiv-130	34	27	in	in	ADP
ispiv-130	34	28	sparse	sparse	ADJ
ispiv-130	34	29	lagrangian	lagrangian	ADJ
ispiv-130	34	30	data	datum	NOUN
ispiv-130	34	31	using	use	VERB
ispiv-130	34	32	coherent	coherent	ADJ
ispiv-130	34	33	-	-	PUNCT
ispiv-130	34	34	structure	structure	NOUN
ispiv-130	34	35	colouring	colouring	NOUN
ispiv-130	34	36	.	.	PUNCT
ispiv-130	35	1	experiments	experiment	NOUN
ispiv-130	35	2	in	in	ADP
ispiv-130	35	3	fluids	fluid	NOUN
ispiv-130	35	4	62:1–15	62:1–15	PROPN
ispiv-130	35	5	rypina	rypina	PROPN
ispiv-130	35	6	ii	ii	PROPN
ispiv-130	35	7	,	,	PUNCT
ispiv-130	35	8	scott	scott	PROPN
ispiv-130	35	9	s	s	PROPN
ispiv-130	35	10	,	,	PUNCT
ispiv-130	35	11	pratt	pratt	PROPN
ispiv-130	35	12	lj	lj	PROPN
ispiv-130	35	13	,	,	PUNCT
ispiv-130	35	14	and	and	CCONJ
ispiv-130	35	15	brown	brown	ADJ
ispiv-130	35	16	mg	mg	PROPN
ispiv-130	35	17	(	(	PUNCT
ispiv-130	35	18	2011	2011	NUM
ispiv-130	35	19	)	)	PUNCT
ispiv-130	35	20	investigating	investigate	VERB
ispiv-130	35	21	the	the	DET
ispiv-130	35	22	connection	connection	NOUN
ispiv-130	35	23	between	between	ADP
ispiv-130	35	24	complexity	complexity	NOUN
ispiv-130	35	25	of	of	ADP
ispiv-130	35	26	isolated	isolated	ADJ
ispiv-130	35	27	trajectories	trajectory	NOUN
ispiv-130	35	28	and	and	CCONJ
ispiv-130	35	29	lagrangian	lagrangian	ADJ
ispiv-130	35	30	coherent	coherent	ADJ
ispiv-130	35	31	structures	structure	NOUN
ispiv-130	35	32	.	.	PUNCT
ispiv-130	36	1	nonlinear	nonlinear	ADJ
ispiv-130	36	2	processes	process	NOUN
ispiv-130	36	3	in	in	ADP
ispiv-130	36	4	geophysics	geophysic	NOUN
ispiv-130	36	5	18:977–987	18:977–987	NUM
ispiv-130	36	6	schanz	schanz	NOUN
ispiv-130	37	1	d	d	NOUN
ispiv-130	37	2	,	,	PUNCT
ispiv-130	37	3	gesemann	gesemann	PROPN
ispiv-130	37	4	s	s	PART
ispiv-130	37	5	,	,	PUNCT
ispiv-130	37	6	and	and	CCONJ
ispiv-130	37	7	schröder	schröder	VERB
ispiv-130	37	8	a	a	DET
ispiv-130	37	9	(	(	PUNCT
ispiv-130	37	10	2016	2016	NUM
ispiv-130	37	11	)	)	PUNCT
ispiv-130	37	12	shake	shake	NOUN
ispiv-130	37	13	-	-	PUNCT
ispiv-130	37	14	the	the	DET
ispiv-130	37	15	-	-	PUNCT
ispiv-130	37	16	box	box	NOUN
ispiv-130	37	17	:	:	PUNCT
ispiv-130	37	18	lagrangian	lagrangian	ADJ
ispiv-130	37	19	particle	particle	NOUN
ispiv-130	37	20	tracking	tracking	NOUN
ispiv-130	37	21	at	at	ADP
ispiv-130	37	22	high	high	ADJ
ispiv-130	37	23	particle	particle	NOUN
ispiv-130	37	24	image	image	NOUN
ispiv-130	37	25	densities	density	NOUN
ispiv-130	37	26	.	.	PUNCT
ispiv-130	38	1	experiments	experiment	NOUN
ispiv-130	38	2	in	in	ADP
ispiv-130	38	3	fluids	fluid	NOUN
ispiv-130	38	4	57:70	57:70	NUM
ispiv-130	38	5	schlueter	schlueter	NOUN
ispiv-130	38	6	-	-	PUNCT
ispiv-130	38	7	kuck	kuck	NOUN
ispiv-130	38	8	kl	kl	PROPN
ispiv-130	38	9	and	and	CCONJ
ispiv-130	38	10	dabiri	dabiri	PROPN
ispiv-130	38	11	jo	jo	PROPN
ispiv-130	38	12	(	(	PUNCT
ispiv-130	38	13	2017	2017	NUM
ispiv-130	38	14	)	)	PUNCT
ispiv-130	38	15	coherent	coherent	ADJ
ispiv-130	38	16	structure	structure	NOUN
ispiv-130	38	17	colouring	colouring	NOUN
ispiv-130	38	18	:	:	PUNCT
ispiv-130	38	19	identification	identification	NOUN
ispiv-130	38	20	of	of	ADP
ispiv-130	38	21	coherent	coherent	ADJ
ispiv-130	38	22	structures	structure	NOUN
ispiv-130	38	23	from	from	ADP
ispiv-130	38	24	sparse	sparse	ADJ
ispiv-130	38	25	data	datum	NOUN
ispiv-130	38	26	using	use	VERB
ispiv-130	38	27	graph	graph	NOUN
ispiv-130	38	28	theory	theory	NOUN
ispiv-130	38	29	.	.	PUNCT
ispiv-130	39	1	journal	journal	NOUN
ispiv-130	39	2	of	of	ADP
ispiv-130	39	3	fluid	fluid	ADJ
ispiv-130	39	4	mechanics	mechanic	NOUN
ispiv-130	39	5	811:468–486	811:468–486	NUM
ispiv-130	39	6	schneide	schneide	NOUN
ispiv-130	39	7	c	c	PROPN
ispiv-130	39	8	,	,	PUNCT
ispiv-130	39	9	pandey	pandey	PROPN
ispiv-130	39	10	a	a	PROPN
ispiv-130	39	11	,	,	PUNCT
ispiv-130	39	12	padberg	padberg	NOUN
ispiv-130	39	13	-	-	PUNCT
ispiv-130	39	14	gehle	gehle	NOUN
ispiv-130	39	15	k	k	NOUN
ispiv-130	39	16	,	,	PUNCT
ispiv-130	39	17	and	and	CCONJ
ispiv-130	39	18	schumacher	schumacher	PROPN
ispiv-130	39	19	j	j	PROPN
ispiv-130	39	20	(	(	PUNCT
ispiv-130	39	21	2018	2018	NUM
ispiv-130	39	22	)	)	PUNCT
ispiv-130	39	23	probing	probe	VERB
ispiv-130	39	24	turbulent	turbulent	ADJ
ispiv-130	39	25	superstructures	superstructure	NOUN
ispiv-130	39	26	in	in	ADP
ispiv-130	39	27	rayleigh	rayleigh	PROPN
ispiv-130	39	28	-	-	PUNCT
ispiv-130	39	29	bénard	bénard	ADP
ispiv-130	39	30	convection	convection	NOUN
ispiv-130	39	31	by	by	ADP
ispiv-130	39	32	lagrangian	lagrangian	ADJ
ispiv-130	39	33	trajectory	trajectory	NOUN
ispiv-130	39	34	clusters	cluster	NOUN
ispiv-130	39	35	.	.	PUNCT
ispiv-130	40	1	physical	physical	ADJ
ispiv-130	40	2	review	review	NOUN
ispiv-130	40	3	fluids	fluid	VERB
ispiv-130	40	4	3:113501	3:113501	NUM
ispiv-130	40	5	ser	ser	NOUN
ispiv-130	40	6	-	-	PUNCT
ispiv-130	40	7	giacomi	giacomi	NOUN
ispiv-130	40	8	e	e	NOUN
ispiv-130	40	9	,	,	PUNCT
ispiv-130	40	10	rossi	rossi	ADJ
ispiv-130	40	11	v	v	NOUN
ispiv-130	40	12	,	,	PUNCT
ispiv-130	40	13	lópez	lópez	ADJ
ispiv-130	40	14	c	c	NOUN
ispiv-130	40	15	,	,	PUNCT
ispiv-130	40	16	and	and	CCONJ
ispiv-130	40	17	hernández	hernández	PROPN
ispiv-130	40	18	-	-	PUNCT
ispiv-130	40	19	garcı́a	garcı́a	PROPN
ispiv-130	40	20	e	e	PROPN
ispiv-130	40	21	(	(	PUNCT
ispiv-130	40	22	2015	2015	NUM
ispiv-130	40	23	)	)	PUNCT
ispiv-130	40	24	flow	flow	NOUN
ispiv-130	40	25	networks	network	NOUN
ispiv-130	40	26	:	:	PUNCT
ispiv-130	40	27	a	a	DET
ispiv-130	40	28	characterization	characterization	NOUN
ispiv-130	40	29	of	of	ADP
ispiv-130	40	30	geophysical	geophysical	ADJ
ispiv-130	40	31	fluid	fluid	NOUN
ispiv-130	40	32	transport	transport	NOUN
ispiv-130	40	33	.	.	PUNCT
ispiv-130	41	1	chaos	chaos	NOUN
ispiv-130	41	2	25:036404	25:036404	NUM
ispiv-130	41	3	shnapp	shnapp	ADJ
ispiv-130	41	4	r	r	NOUN
ispiv-130	41	5	,	,	PUNCT
ispiv-130	41	6	shapira	shapira	PROPN
ispiv-130	41	7	e	e	NOUN
ispiv-130	41	8	,	,	PUNCT
ispiv-130	41	9	peri	peri	PROPN
ispiv-130	41	10	d	d	PROPN
ispiv-130	41	11	,	,	PUNCT
ispiv-130	41	12	bohbot	bohbot	PROPN
ispiv-130	41	13	-	-	PUNCT
ispiv-130	41	14	raviv	raviv	PROPN
ispiv-130	41	15	y	y	PROPN
ispiv-130	41	16	,	,	PUNCT
ispiv-130	41	17	fattal	fattal	ADJ
ispiv-130	41	18	e	e	NOUN
ispiv-130	41	19	,	,	PUNCT
ispiv-130	41	20	and	and	CCONJ
ispiv-130	41	21	liberzon	liberzon	VERB
ispiv-130	41	22	a	a	DET
ispiv-130	41	23	(	(	PUNCT
ispiv-130	41	24	2019	2019	NUM
ispiv-130	41	25	)	)	PUNCT
ispiv-130	41	26	extended	extend	VERB
ispiv-130	41	27	3d	3d	NUM
ispiv-130	41	28	-	-	PUNCT
ispiv-130	41	29	ptv	ptv	NOUN
ispiv-130	41	30	for	for	ADP
ispiv-130	41	31	direct	direct	ADJ
ispiv-130	41	32	measurements	measurement	NOUN
ispiv-130	41	33	of	of	ADP
ispiv-130	41	34	lagrangian	lagrangian	ADJ
ispiv-130	41	35	statistics	statistic	NOUN
ispiv-130	41	36	of	of	ADP
ispiv-130	41	37	canopy	canopy	NOUN
ispiv-130	41	38	turbulence	turbulence	NOUN
ispiv-130	41	39	in	in	ADP
ispiv-130	41	40	a	a	DET
ispiv-130	41	41	wind	wind	NOUN
ispiv-130	41	42	tunnel	tunnel	NOUN
ispiv-130	41	43	.	.	PUNCT
ispiv-130	42	1	scientific	scientific	ADJ
ispiv-130	42	2	reports	report	NOUN
ispiv-130	42	3	9:1–13	9:1–13	NUM
ispiv-130	42	4	tallapragada	tallapragada	NOUN
ispiv-130	42	5	p	p	NOUN
ispiv-130	42	6	,	,	PUNCT
ispiv-130	42	7	ross	ross	PROPN
ispiv-130	42	8	sd	sd	PROPN
ispiv-130	42	9	,	,	PUNCT
ispiv-130	42	10	and	and	CCONJ
ispiv-130	42	11	schmale	schmale	NOUN
ispiv-130	42	12	iii	iii	NUM
ispiv-130	42	13	dg	dg	X
ispiv-130	42	14	(	(	PUNCT
ispiv-130	42	15	2011	2011	NUM
ispiv-130	42	16	)	)	PUNCT
ispiv-130	42	17	lagrangian	lagrangian	ADJ
ispiv-130	42	18	coherent	coherent	ADJ
ispiv-130	42	19	structures	structure	NOUN
ispiv-130	42	20	are	be	AUX
ispiv-130	42	21	associated	associate	VERB
ispiv-130	42	22	with	with	ADP
ispiv-130	42	23	fluctuations	fluctuation	NOUN
ispiv-130	42	24	in	in	ADP
ispiv-130	42	25	airborne	airborne	ADJ
ispiv-130	42	26	microbial	microbial	ADJ
ispiv-130	42	27	populations	population	NOUN
ispiv-130	42	28	.	.	PUNCT
ispiv-130	43	1	chaos	chaos	NOUN
ispiv-130	43	2	21:033122	21:033122	NUM