id	sid	tid	token	lemma	pos
amq-160	1	1	amq99	amq99	VERB
amq-160	1	2	didonato	didonato	PROPN
amq-160	1	3	et	et	NOUN
amq-160	1	4	al.pub	al.pub	PROPN
amq-160	1	5	compositional	compositional	ADJ
amq-160	1	6	regression	regression	NOUN
amq-160	1	7	-	-	PUNCT
amq-160	1	8	based	base	VERB
amq-160	1	9	methods	method	NOUN
amq-160	1	10	for	for	ADP
amq-160	1	11	sst	sst	NOUN
amq-160	1	12	reconstruction	reconstruction	NOUN
amq-160	1	13	.	.	PUNCT
amq-160	2	1	valentino	valentino	PROPN
amq-160	2	2	di	di	PROPN
amq-160	2	3	donato	donato	PROPN
amq-160	2	4	1	1	NUM
amq-160	2	5	,	,	PUNCT
amq-160	2	6	joanna	joanna	PROPN
amq-160	2	7	jamka	jamka	PROPN
amq-160	2	8	1	1	NUM
amq-160	2	9	,	,	PUNCT
amq-160	2	10	josep	josep	PROPN
amq-160	2	11	antoni	antoni	PROPN
amq-160	2	12	martín	martín	PROPN
amq-160	2	13	-	-	PUNCT
amq-160	2	14	fernández	fernández	PROPN
amq-160	2	15	2	2	NUM
amq-160	2	16	1	1	NUM
amq-160	2	17	dipartimento	dipartimento	NOUN
amq-160	2	18	di	di	X
amq-160	2	19	scienze	scienze	PROPN
amq-160	2	20	della	della	PROPN
amq-160	2	21	terra	terra	PROPN
amq-160	2	22	,	,	PUNCT
amq-160	2	23	dell’ambiente	dell’ambiente	NOUN
amq-160	2	24	e	e	PROPN
amq-160	2	25	delle	delle	NOUN
amq-160	2	26	risorse	risorse	PROPN
amq-160	2	27	,	,	PUNCT
amq-160	2	28	università	università	PROPN
amq-160	2	29	degli	degli	PROPN
amq-160	2	30	studi	studi	PROPN
amq-160	2	31	di	di	PROPN
amq-160	2	32	napoli	napoli	PROPN
amq-160	2	33	“	"	PUNCT
amq-160	2	34	federico	federico	PROPN
amq-160	2	35	ii	ii	PROPN
amq-160	2	36	”	"	PUNCT
amq-160	2	37	,	,	PUNCT
amq-160	2	38	naples	naples	PROPN
amq-160	2	39	,	,	PUNCT
amq-160	2	40	italy	italy	PROPN
amq-160	2	41	.	.	PROPN
amq-160	2	42	2	2	NUM
amq-160	2	43	departament	departament	ADJ
amq-160	2	44	d’informàtica	d’informàtica	PROPN
amq-160	2	45	,	,	PUNCT
amq-160	2	46	matemàtica	matemàtica	PROPN
amq-160	3	1	aplicada	aplicada	PROPN
amq-160	3	2	i	i	PRON
amq-160	3	3	estadística	estadística	PROPN
amq-160	3	4	,	,	PUNCT
amq-160	3	5	universitat	universitat	PROPN
amq-160	3	6	de	de	PROPN
amq-160	3	7	girona	girona	PROPN
amq-160	3	8	,	,	PUNCT
amq-160	3	9	spain	spain	PROPN
amq-160	3	10	.	.	PUNCT
amq-160	4	1	corresponding	correspond	VERB
amq-160	4	2	author	author	NOUN
amq-160	4	3	:	:	PUNCT
amq-160	4	4	v.	v.	PROPN
amq-160	4	5	di	di	X
amq-160	4	6	donato	donato	NOUN
amq-160	4	7	<	<	X
amq-160	4	8	valedido@unina.it	valedido@unina.it	X
amq-160	4	9	>	>	X
amq-160	4	10	abstract	abstract	NOUN
amq-160	4	11	:	:	PUNCT
amq-160	4	12	the	the	DET
amq-160	4	13	information	information	NOUN
amq-160	4	14	in	in	ADP
amq-160	4	15	modern	modern	ADJ
amq-160	4	16	or	or	CCONJ
amq-160	4	17	fossil	fossil	NOUN
amq-160	4	18	foraminifera	foraminifera	NOUN
amq-160	4	19	assemblages	assemblage	NOUN
amq-160	4	20	is	be	AUX
amq-160	4	21	the	the	DET
amq-160	4	22	relative	relative	ADJ
amq-160	4	23	abundance	abundance	NOUN
amq-160	4	24	or	or	CCONJ
amq-160	4	25	percentages	percentage	NOUN
amq-160	4	26	of	of	ADP
amq-160	4	27	species	specie	NOUN
amq-160	4	28	,	,	PUNCT
amq-160	4	29	i.e.	i.e.	X
amq-160	4	30	,	,	PUNCT
amq-160	4	31	they	they	PRON
amq-160	4	32	can	can	AUX
amq-160	4	33	be	be	AUX
amq-160	4	34	considered	consider	VERB
amq-160	4	35	as	as	ADP
amq-160	4	36	compositional	compositional	ADJ
amq-160	4	37	data	datum	NOUN
amq-160	4	38	.	.	PUNCT
amq-160	5	1	in	in	ADP
amq-160	5	2	this	this	DET
amq-160	5	3	study	study	NOUN
amq-160	5	4	we	we	PRON
amq-160	5	5	deal	deal	VERB
amq-160	5	6	with	with	ADP
amq-160	5	7	coda	coda	NOUN
amq-160	5	8	and	and	CCONJ
amq-160	5	9	regression	regression	NOUN
amq-160	5	10	-	-	PUNCT
amq-160	5	11	based	base	VERB
amq-160	5	12	methods	method	NOUN
amq-160	5	13	as	as	ADP
amq-160	5	14	tools	tool	NOUN
amq-160	5	15	to	to	PART
amq-160	5	16	estimate	estimate	VERB
amq-160	5	17	past	past	ADP
amq-160	5	18	climatic	climatic	ADJ
amq-160	5	19	conditions	condition	NOUN
amq-160	5	20	.	.	PUNCT
amq-160	6	1	we	we	PRON
amq-160	6	2	tested	test	VERB
amq-160	6	3	standard	standard	ADJ
amq-160	6	4	and	and	CCONJ
amq-160	6	5	robust	robust	ADJ
amq-160	6	6	partial	partial	ADJ
amq-160	6	7	least	least	ADJ
amq-160	6	8	squares	square	NOUN
amq-160	6	9	and	and	CCONJ
amq-160	6	10	principal	principal	ADJ
amq-160	6	11	component	component	NOUN
amq-160	6	12	regression	regression	NOUN
amq-160	6	13	,	,	PUNCT
amq-160	6	14	applied	apply	VERB
amq-160	6	15	to	to	ADP
amq-160	6	16	the	the	DET
amq-160	6	17	log	log	NOUN
amq-160	6	18	-	-	PUNCT
amq-160	6	19	ratio	ratio	NOUN
amq-160	6	20	coordinates	coordinate	NOUN
amq-160	6	21	of	of	ADP
amq-160	6	22	percentage	percentage	NOUN
amq-160	6	23	data	datum	NOUN
amq-160	6	24	of	of	ADP
amq-160	6	25	atlantic	atlantic	PROPN
amq-160	6	26	ocean	ocean	PROPN
amq-160	6	27	and	and	CCONJ
amq-160	6	28	mediterranean	mediterranean	PROPN
amq-160	6	29	sea	sea	PROPN
amq-160	6	30	planktonic	planktonic	ADJ
amq-160	6	31	foraminiferal	foraminiferal	ADJ
amq-160	6	32	assemblages	assemblage	NOUN
amq-160	6	33	.	.	PUNCT
amq-160	7	1	due	due	ADP
amq-160	7	2	to	to	ADP
amq-160	7	3	the	the	DET
amq-160	7	4	presence	presence	NOUN
amq-160	7	5	of	of	ADP
amq-160	7	6	groups	group	NOUN
amq-160	7	7	,	,	PUNCT
amq-160	7	8	it	it	PRON
amq-160	7	9	was	be	AUX
amq-160	7	10	preferred	prefer	VERB
amq-160	7	11	to	to	PART
amq-160	7	12	model	model	VERB
amq-160	7	13	separately	separately	ADV
amq-160	7	14	high	high	ADJ
amq-160	7	15	latitude	latitude	NOUN
amq-160	7	16	and	and	CCONJ
amq-160	7	17	mid	mid	ADJ
amq-160	7	18	to	to	ADP
amq-160	7	19	low	low	ADJ
amq-160	7	20	latitude	latitude	NOUN
amq-160	7	21	assemblages	assemblage	NOUN
amq-160	7	22	.	.	PUNCT
amq-160	8	1	this	this	DET
amq-160	8	2	approach	approach	NOUN
amq-160	8	3	implies	imply	VERB
amq-160	8	4	the	the	DET
amq-160	8	5	application	application	NOUN
amq-160	8	6	of	of	ADP
amq-160	8	7	cluster	cluster	NOUN
amq-160	8	8	analysis	analysis	NOUN
amq-160	8	9	,	,	PUNCT
amq-160	8	10	manova	manova	PROPN
amq-160	8	11	and	and	CCONJ
amq-160	8	12	discriminant	discriminant	ADJ
amq-160	8	13	analysis	analysis	NOUN
amq-160	8	14	to	to	ADP
amq-160	8	15	the	the	DET
amq-160	8	16	logratio	logratio	NOUN
amq-160	8	17	transformed	transform	VERB
amq-160	8	18	fossil	fossil	NOUN
amq-160	8	19	assemblage	assemblage	NOUN
amq-160	8	20	’s	’s	PART
amq-160	8	21	compositions	composition	NOUN
amq-160	8	22	.	.	PUNCT
amq-160	9	1	the	the	DET
amq-160	9	2	methods	method	NOUN
amq-160	9	3	were	be	AUX
amq-160	9	4	then	then	ADV
amq-160	9	5	applied	apply	VERB
amq-160	9	6	on	on	ADP
amq-160	9	7	marine	marine	ADJ
amq-160	9	8	core	core	NOUN
amq-160	9	9	assemblages	assemblage	NOUN
amq-160	9	10	to	to	PART
amq-160	9	11	reconstruct	reconstruct	VERB
amq-160	9	12	past	past	ADJ
amq-160	9	13	sea	sea	NOUN
amq-160	9	14	surface	surface	NOUN
amq-160	9	15	temperatures	temperature	NOUN
amq-160	9	16	.	.	PUNCT
amq-160	10	1	the	the	DET
amq-160	10	2	obtained	obtain	VERB
amq-160	10	3	results	result	NOUN
amq-160	10	4	were	be	AUX
amq-160	10	5	compared	compare	VERB
amq-160	10	6	with	with	ADP
amq-160	10	7	those	those	PRON
amq-160	10	8	formerly	formerly	ADV
amq-160	10	9	obtained	obtain	VERB
amq-160	10	10	by	by	ADP
amq-160	10	11	means	mean	NOUN
amq-160	10	12	of	of	ADP
amq-160	10	13	compositional	compositional	ADJ
amq-160	10	14	modern	modern	ADJ
amq-160	10	15	analogue	analogue	NOUN
amq-160	10	16	technique	technique	NOUN
amq-160	10	17	and	and	CCONJ
amq-160	10	18	with	with	ADP
amq-160	10	19	the	the	DET
amq-160	10	20	information	information	NOUN
amq-160	10	21	arising	arise	VERB
amq-160	10	22	from	from	ADP
amq-160	10	23	other	other	ADJ
amq-160	10	24	paleoclimatic	paleoclimatic	ADJ
amq-160	10	25	proxies	proxy	NOUN
amq-160	10	26	.	.	PUNCT
amq-160	11	1	keywords	keyword	NOUN
amq-160	11	2	:	:	PUNCT
amq-160	11	3	partial	partial	ADJ
amq-160	11	4	least	least	ADJ
amq-160	11	5	squares	square	NOUN
amq-160	11	6	,	,	PUNCT
amq-160	11	7	principal	principal	ADJ
amq-160	11	8	components	component	NOUN
amq-160	11	9	regression	regression	PROPN
amq-160	11	10	,	,	PUNCT
amq-160	11	11	compositional	compositional	ADJ
amq-160	11	12	data	datum	NOUN
amq-160	11	13	analysis	analysis	NOUN
amq-160	11	14	,	,	PUNCT
amq-160	11	15	sea	sea	NOUN
amq-160	11	16	surface	surface	NOUN
amq-160	11	17	temperatures	temperature	NOUN
amq-160	11	18	,	,	PUNCT
amq-160	11	19	isometric	isometric	ADJ
amq-160	11	20	logratio	logratio	NOUN
amq-160	11	21	transformation	transformation	NOUN
amq-160	11	22	.	.	PUNCT
amq-160	12	1	available	available	ADJ
amq-160	12	2	online	online	ADV
amq-160	13	1	http://amq.aiqua.it	http://amq.aiqua.it	PROPN
amq-160	13	2	issn	issn	PROPN
amq-160	13	3	(	(	PUNCT
amq-160	13	4	print	print	NOUN
amq-160	13	5	):	):	PUNCT
amq-160	13	6	2279	2279	NUM
amq-160	13	7	-	-	SYM
amq-160	13	8	7327	7327	NUM
amq-160	13	9	,	,	PUNCT
amq-160	13	10	issn	issn	PROPN
amq-160	13	11	(	(	PUNCT
amq-160	13	12	online	online	ADJ
amq-160	13	13	):	):	PUNCT
amq-160	13	14	2279	2279	NUM
amq-160	13	15	-	-	SYM
amq-160	13	16	7335	7335	NUM
amq-160	13	17	alpine	alpine	NOUN
amq-160	13	18	and	and	CCONJ
amq-160	13	19	mediterranean	mediterranean	PROPN
amq-160	13	20	quaternary	quaternary	NOUN
amq-160	13	21	,	,	PUNCT
amq-160	13	22	32	32	NUM
amq-160	13	23	(	(	PUNCT
amq-160	13	24	1	1	NUM
amq-160	13	25	)	)	PUNCT
amq-160	13	26	,	,	PUNCT
amq-160	13	27	2019	2019	NUM
amq-160	13	28	,	,	PUNCT
amq-160	13	29	31	31	NUM
amq-160	13	30	-	-	SYM
amq-160	13	31	41	41	NUM
amq-160	13	32	1	1	NUM
amq-160	13	33	.	.	PUNCT
amq-160	13	34	introduction	introduction	NOUN
amq-160	13	35	in	in	ADP
amq-160	13	36	the	the	DET
amq-160	13	37	last	last	ADJ
amq-160	13	38	decades	decade	NOUN
amq-160	13	39	,	,	PUNCT
amq-160	13	40	several	several	ADJ
amq-160	13	41	methods	method	NOUN
amq-160	13	42	were	be	AUX
amq-160	13	43	proposed	propose	VERB
amq-160	13	44	to	to	PART
amq-160	13	45	obtain	obtain	VERB
amq-160	13	46	quantitative	quantitative	ADJ
amq-160	13	47	estimates	estimate	NOUN
amq-160	13	48	of	of	ADP
amq-160	13	49	past	past	ADJ
amq-160	13	50	environmental	environmental	ADJ
amq-160	13	51	parameters	parameter	NOUN
amq-160	13	52	from	from	ADP
amq-160	13	53	counts	count	NOUN
amq-160	13	54	of	of	ADP
amq-160	13	55	fossils	fossil	NOUN
amq-160	13	56	assemblages	assemblage	NOUN
amq-160	13	57	(	(	PUNCT
amq-160	13	58	imbrie	imbrie	PROPN
amq-160	13	59	&	&	CCONJ
amq-160	13	60	kipp	kipp	PROPN
amq-160	13	61	,	,	PUNCT
amq-160	13	62	1971	1971	NUM
amq-160	13	63	,	,	PUNCT
amq-160	13	64	hutson	hutson	PROPN
amq-160	13	65	,	,	PUNCT
amq-160	13	66	1979	1979	NUM
amq-160	13	67	;	;	PUNCT
amq-160	13	68	ter	ter	NOUN
amq-160	13	69	braak	braak	PROPN
amq-160	13	70	&	&	CCONJ
amq-160	13	71	juggins	juggin	NOUN
amq-160	13	72	,	,	PUNCT
amq-160	13	73	1993	1993	NUM
amq-160	13	74	;	;	PUNCT
amq-160	13	75	pflaumann	pflaumann	PROPN
amq-160	13	76	et	et	PROPN
amq-160	13	77	al	al	PROPN
amq-160	13	78	.	.	PROPN
amq-160	13	79	,	,	PUNCT
amq-160	13	80	1996	1996	NUM
amq-160	13	81	;	;	PUNCT
amq-160	13	82	waelbroeck	waelbroeck	PROPN
amq-160	13	83	et	et	PROPN
amq-160	13	84	al	al	PROPN
amq-160	13	85	.	.	PROPN
amq-160	13	86	,	,	PUNCT
amq-160	13	87	1998	1998	NUM
amq-160	13	88	;	;	PUNCT
amq-160	13	89	malmgren	malmgren	PROPN
amq-160	13	90	et	et	PROPN
amq-160	13	91	al	al	PROPN
amq-160	13	92	.	.	PROPN
amq-160	13	93	,	,	PUNCT
amq-160	13	94	2001	2001	NUM
amq-160	13	95	;	;	PUNCT
amq-160	13	96	among	among	ADP
amq-160	13	97	others	other	NOUN
amq-160	13	98	)	)	PUNCT
amq-160	13	99	.	.	PUNCT
amq-160	14	1	most	most	ADJ
amq-160	14	2	methods	method	NOUN
amq-160	14	3	are	be	AUX
amq-160	14	4	applied	apply	VERB
amq-160	14	5	to	to	ADP
amq-160	14	6	percentage	percentage	NOUN
amq-160	14	7	data	datum	NOUN
amq-160	14	8	obtained	obtain	VERB
amq-160	14	9	from	from	ADP
amq-160	14	10	counting	counting	NOUN
amq-160	14	11	of	of	ADP
amq-160	14	12	specimens	specimen	NOUN
amq-160	14	13	.	.	PUNCT
amq-160	15	1	the	the	DET
amq-160	15	2	peculiar	peculiar	ADJ
amq-160	15	3	properties	property	NOUN
amq-160	15	4	of	of	ADP
amq-160	15	5	relative	relative	ADJ
amq-160	15	6	abundance	abundance	NOUN
amq-160	15	7	data	datum	NOUN
amq-160	15	8	represent	represent	VERB
amq-160	15	9	however	however	ADV
amq-160	15	10	a	a	DET
amq-160	15	11	key	key	ADJ
amq-160	15	12	issue	issue	NOUN
amq-160	15	13	to	to	PART
amq-160	15	14	be	be	AUX
amq-160	15	15	taken	take	VERB
amq-160	15	16	into	into	ADP
amq-160	15	17	account	account	NOUN
amq-160	15	18	when	when	SCONJ
amq-160	15	19	developing	develop	VERB
amq-160	15	20	transfer	transfer	NOUN
amq-160	15	21	functions	function	NOUN
amq-160	15	22	based	base	VERB
amq-160	15	23	of	of	ADP
amq-160	15	24	fossil	fossil	ADJ
amq-160	15	25	assemblages	assemblage	NOUN
amq-160	15	26	.	.	PUNCT
amq-160	16	1	percentage	percentage	NOUN
amq-160	16	2	data	datum	NOUN
amq-160	16	3	belong	belong	VERB
amq-160	16	4	to	to	ADP
amq-160	16	5	compositional	compositional	ADJ
amq-160	16	6	data	datum	NOUN
amq-160	16	7	(	(	PUNCT
amq-160	16	8	coda	coda	NOUN
amq-160	16	9	)	)	PUNCT
amq-160	16	10	(	(	PUNCT
amq-160	16	11	aitchison	aitchison	PROPN
amq-160	16	12	,	,	PUNCT
amq-160	16	13	1986	1986	NUM
amq-160	16	14	):	):	PUNCT
amq-160	16	15	that	that	ADV
amq-160	16	16	is	is	ADV
amq-160	16	17	,	,	PUNCT
amq-160	16	18	the	the	DET
amq-160	16	19	information	information	NOUN
amq-160	16	20	contained	contain	VERB
amq-160	16	21	in	in	ADP
amq-160	16	22	a	a	DET
amq-160	16	23	vector	vector	NOUN
amq-160	16	24	of	of	ADP
amq-160	16	25	counts	count	NOUN
amq-160	16	26	x	x	PRON
amq-160	16	27	is	be	AUX
amq-160	16	28	the	the	DET
amq-160	16	29	same	same	ADJ
amq-160	16	30	as	as	ADP
amq-160	16	31	in	in	ADP
amq-160	16	32	k·x	k·x	PROPN
amq-160	16	33	,	,	PUNCT
amq-160	16	34	for	for	ADP
amq-160	16	35	any	any	DET
amq-160	16	36	real	real	ADJ
amq-160	16	37	scalar	scalar	ADJ
amq-160	16	38	k>0	k>0	NOUN
amq-160	16	39	,	,	PUNCT
amq-160	16	40	property	property	NOUN
amq-160	16	41	known	know	VERB
amq-160	16	42	as	as	ADP
amq-160	16	43	scale	scale	NOUN
amq-160	16	44	invariance	invariance	NOUN
amq-160	16	45	which	which	PRON
amq-160	16	46	indicates	indicate	VERB
amq-160	16	47	that	that	SCONJ
amq-160	16	48	a	a	DET
amq-160	16	49	composition	composition	NOUN
amq-160	16	50	is	be	AUX
amq-160	16	51	an	an	DET
amq-160	16	52	equivalence	equivalence	NOUN
amq-160	16	53	class	class	NOUN
amq-160	16	54	(	(	PUNCT
amq-160	16	55	barceló	barceló	NOUN
amq-160	16	56	-	-	PUNCT
amq-160	16	57	vidal	vidal	PROPN
amq-160	16	58	&	&	CCONJ
amq-160	16	59	martínfernández	martínfernández	PROPN
amq-160	16	60	,	,	PUNCT
amq-160	16	61	2016	2016	NUM
amq-160	16	62	)	)	PUNCT
amq-160	16	63	.	.	PUNCT
amq-160	17	1	this	this	DET
amq-160	17	2	type	type	NOUN
amq-160	17	3	of	of	ADP
amq-160	17	4	data	datum	NOUN
amq-160	17	5	is	be	AUX
amq-160	17	6	very	very	ADV
amq-160	17	7	common	common	ADJ
amq-160	17	8	in	in	ADP
amq-160	17	9	earth	earth	NOUN
amq-160	17	10	sciences	science	NOUN
amq-160	17	11	when	when	SCONJ
amq-160	17	12	the	the	DET
amq-160	17	13	constituents	constituent	NOUN
amq-160	17	14	and	and	CCONJ
amq-160	17	15	compounds	compound	NOUN
amq-160	17	16	are	be	AUX
amq-160	17	17	described	describe	VERB
amq-160	17	18	in	in	ADP
amq-160	17	19	terms	term	NOUN
amq-160	17	20	their	their	PRON
amq-160	17	21	concentration	concentration	NOUN
amq-160	17	22	(	(	PUNCT
amq-160	17	23	e.g.	e.g.	ADV
amq-160	17	24	,	,	PUNCT
amq-160	17	25	buccianti	buccianti	PROPN
amq-160	17	26	et	et	PROPN
amq-160	17	27	al	al	PROPN
amq-160	17	28	.	.	PROPN
amq-160	17	29	,	,	PUNCT
amq-160	17	30	2006	2006	NUM
amq-160	17	31	)	)	PUNCT
amq-160	17	32	.	.	PUNCT
amq-160	18	1	in	in	ADP
amq-160	18	2	a	a	DET
amq-160	18	3	paper	paper	NOUN
amq-160	18	4	recently	recently	ADV
amq-160	18	5	published	publish	VERB
amq-160	18	6	(	(	PUNCT
amq-160	18	7	di	di	NOUN
amq-160	18	8	donato	donato	NOUN
amq-160	18	9	et	et	PROPN
amq-160	18	10	al	al	PROPN
amq-160	18	11	.	.	PROPN
amq-160	18	12	,	,	PUNCT
amq-160	18	13	2018	2018	NUM
amq-160	18	14	)	)	PUNCT
amq-160	18	15	we	we	PRON
amq-160	18	16	revised	revise	VERB
amq-160	18	17	the	the	DET
amq-160	18	18	modern	modern	ADJ
amq-160	18	19	analogues	analogue	NOUN
amq-160	18	20	technique	technique	NOUN
amq-160	18	21	(	(	PUNCT
amq-160	18	22	mat	mat	NOUN
amq-160	18	23	)	)	PUNCT
amq-160	18	24	(	(	PUNCT
amq-160	18	25	hutson	hutson	NOUN
amq-160	18	26	,	,	PUNCT
amq-160	18	27	1979	1979	NUM
amq-160	18	28	;	;	PUNCT
amq-160	18	29	pflaumann	pflaumann	PROPN
amq-160	18	30	et	et	PROPN
amq-160	18	31	al	al	PROPN
amq-160	18	32	.	.	PROPN
amq-160	18	33	,	,	PUNCT
amq-160	18	34	1996	1996	NUM
amq-160	18	35	;	;	PUNCT
amq-160	18	36	waelbroeck	waelbroeck	PROPN
amq-160	18	37	et	et	PROPN
amq-160	18	38	al	al	PROPN
amq-160	18	39	.	.	PROPN
amq-160	18	40	,	,	PUNCT
amq-160	18	41	1998	1998	NUM
amq-160	18	42	)	)	PUNCT
amq-160	18	43	according	accord	VERB
amq-160	18	44	to	to	ADP
amq-160	18	45	the	the	DET
amq-160	18	46	coda	coda	ADJ
amq-160	18	47	methodology	methodology	NOUN
amq-160	18	48	(	(	PUNCT
amq-160	18	49	aitchison	aitchison	PROPN
amq-160	18	50	,	,	PUNCT
amq-160	18	51	1986	1986	NUM
amq-160	18	52	)	)	PUNCT
amq-160	18	53	.	.	PUNCT
amq-160	19	1	in	in	ADP
amq-160	19	2	this	this	DET
amq-160	19	3	study	study	NOUN
amq-160	19	4	,	,	PUNCT
amq-160	19	5	following	follow	VERB
amq-160	19	6	the	the	DET
amq-160	19	7	same	same	ADJ
amq-160	19	8	approach	approach	NOUN
amq-160	19	9	,	,	PUNCT
amq-160	19	10	we	we	PRON
amq-160	19	11	deal	deal	VERB
amq-160	19	12	with	with	ADP
amq-160	19	13	regression	regression	NOUN
amq-160	19	14	-	-	PUNCT
amq-160	19	15	based	base	VERB
amq-160	19	16	methods	method	NOUN
amq-160	19	17	,	,	PUNCT
amq-160	19	18	such	such	ADJ
amq-160	19	19	as	as	ADP
amq-160	19	20	principal	principal	ADJ
amq-160	19	21	component	component	NOUN
amq-160	19	22	regression	regression	NOUN
amq-160	19	23	(	(	PUNCT
amq-160	19	24	pcr	pcr	NOUN
amq-160	19	25	)	)	PUNCT
amq-160	19	26	and	and	CCONJ
amq-160	19	27	partial	partial	ADJ
amq-160	19	28	least	least	ADJ
amq-160	19	29	squares	square	NOUN
amq-160	19	30	regression	regression	NOUN
amq-160	19	31	(	(	PUNCT
amq-160	19	32	plsr	plsr	PROPN
amq-160	19	33	)	)	PUNCT
amq-160	19	34	.	.	PUNCT
amq-160	20	1	in	in	ADP
amq-160	20	2	order	order	NOUN
amq-160	20	3	to	to	PART
amq-160	20	4	apply	apply	VERB
amq-160	20	5	plsr	plsr	NOUN
amq-160	20	6	to	to	ADP
amq-160	20	7	coda	coda	NOUN
amq-160	20	8	,	,	PUNCT
amq-160	20	9	hinkle	hinkle	PROPN
amq-160	20	10	&	&	CCONJ
amq-160	20	11	rayens	rayen	NOUN
amq-160	20	12	(	(	PUNCT
amq-160	20	13	1995	1995	NUM
amq-160	20	14	)	)	PUNCT
amq-160	20	15	proposed	propose	VERB
amq-160	20	16	logcontrast	logcontrast	NOUN
amq-160	20	17	partial	partial	ADJ
amq-160	20	18	least	least	ADJ
amq-160	20	19	squares	square	NOUN
amq-160	20	20	(	(	PUNCT
amq-160	20	21	lcpls	lcpls	PROPN
amq-160	20	22	)	)	PUNCT
amq-160	20	23	.	.	PUNCT
amq-160	21	1	coda	coda	PROPN
amq-160	21	2	refers	refer	VERB
amq-160	21	3	to	to	ADP
amq-160	21	4	vectors	vector	NOUN
amq-160	21	5	of	of	ADP
amq-160	21	6	positive	positive	ADJ
amq-160	21	7	components	component	NOUN
amq-160	21	8	showing	show	VERB
amq-160	21	9	the	the	DET
amq-160	21	10	relative	relative	ADJ
amq-160	21	11	weight	weight	NOUN
amq-160	21	12	of	of	ADP
amq-160	21	13	a	a	DET
amq-160	21	14	set	set	NOUN
amq-160	21	15	of	of	ADP
amq-160	21	16	parts	part	NOUN
amq-160	21	17	in	in	ADP
amq-160	21	18	a	a	DET
amq-160	21	19	total	total	NOUN
amq-160	21	20	.	.	PUNCT
amq-160	22	1	nowadays	nowadays	ADV
amq-160	22	2	,	,	PUNCT
amq-160	22	3	there	there	PRON
amq-160	22	4	is	be	VERB
amq-160	22	5	a	a	DET
amq-160	22	6	general	general	ADJ
amq-160	22	7	agreement	agreement	NOUN
amq-160	22	8	that	that	PRON
amq-160	22	9	applying	apply	VERB
amq-160	22	10	the	the	DET
amq-160	22	11	standard	standard	ADJ
amq-160	22	12	statistical	statistical	ADJ
amq-160	22	13	methods	method	NOUN
amq-160	22	14	to	to	ADP
amq-160	22	15	coda	coda	NOUN
amq-160	22	16	may	may	AUX
amq-160	22	17	yield	yield	VERB
amq-160	22	18	misleading	misleading	ADJ
amq-160	22	19	results	result	NOUN
amq-160	22	20	(	(	PUNCT
amq-160	22	21	pawlowsky	pawlowsky	NOUN
amq-160	22	22	-	-	PUNCT
amq-160	22	23	glahn	glahn	NOUN
amq-160	22	24	et	et	NOUN
amq-160	22	25	al	al	PROPN
amq-160	22	26	.	.	PROPN
amq-160	22	27	,	,	PUNCT
amq-160	22	28	2015	2015	NUM
amq-160	22	29	)	)	PUNCT
amq-160	22	30	.	.	PUNCT
amq-160	23	1	the	the	DET
amq-160	23	2	log	log	NOUN
amq-160	23	3	-	-	PUNCT
amq-160	23	4	ratio	ratio	NOUN
amq-160	23	5	methodology	methodology	NOUN
amq-160	23	6	proposed	propose	VERB
amq-160	23	7	by	by	ADP
amq-160	23	8	aitchison	aitchison	PROPN
amq-160	23	9	(	(	PUNCT
amq-160	23	10	1986	1986	NUM
amq-160	23	11	)	)	PUNCT
amq-160	23	12	and	and	CCONJ
amq-160	23	13	the	the	DET
amq-160	23	14	following	follow	VERB
amq-160	23	15	developments	development	NOUN
amq-160	23	16	(	(	PUNCT
amq-160	23	17	i.e.	i.e.	X
amq-160	23	18	martín	martín	NOUN
amq-160	23	19	-	-	PUNCT
amq-160	23	20	fernández	fernández	PROPN
amq-160	23	21	&	&	CCONJ
amq-160	23	22	thió	thió	PROPN
amq-160	23	23	-	-	PUNCT
amq-160	23	24	henestrosa	henestrosa	PROPN
amq-160	23	25	,	,	PUNCT
amq-160	23	26	2016a	2016a	NUM
amq-160	23	27	;	;	PUNCT
amq-160	23	28	martín	martín	NOUN
amq-160	23	29	-	-	PUNCT
amq-160	23	30	fernández	fernández	PROPN
amq-160	23	31	&	&	CCONJ
amq-160	23	32	thió	thió	PROPN
amq-160	23	33	-	-	PUNCT
amq-160	23	34	henestrosa	henestrosa	PROPN
amq-160	23	35	,	,	PUNCT
amq-160	23	36	2016b	2016b	NUM
amq-160	23	37	)	)	PUNCT
amq-160	23	38	represent	represent	VERB
amq-160	23	39	a	a	DET
amq-160	23	40	powerful	powerful	ADJ
amq-160	23	41	set	set	NOUN
amq-160	23	42	of	of	ADP
amq-160	23	43	methods	method	NOUN
amq-160	23	44	and	and	CCONJ
amq-160	23	45	techniques	technique	NOUN
amq-160	23	46	to	to	PART
amq-160	23	47	apply	apply	VERB
amq-160	23	48	to	to	ADP
amq-160	23	49	coda	coda	NOUN
amq-160	23	50	.	.	PUNCT
amq-160	24	1	the	the	DET
amq-160	24	2	approach	approach	NOUN
amq-160	24	3	adopted	adopt	VERB
amq-160	24	4	in	in	ADP
amq-160	24	5	this	this	DET
amq-160	24	6	paper	paper	NOUN
amq-160	24	7	follows	follow	VERB
amq-160	24	8	the	the	DET
amq-160	24	9	principle	principle	NOUN
amq-160	24	10	of	of	ADP
amq-160	24	11	working	work	VERB
amq-160	24	12	on	on	ADP
amq-160	24	13	coordinates	coordinate	NOUN
amq-160	24	14	(	(	PUNCT
amq-160	24	15	mateufigueras	mateufiguera	NOUN
amq-160	24	16	et	et	PROPN
amq-160	24	17	al	al	PROPN
amq-160	24	18	.	.	PROPN
amq-160	24	19	,	,	PUNCT
amq-160	24	20	2011	2011	NUM
amq-160	24	21	)	)	PUNCT
amq-160	24	22	,	,	PUNCT
amq-160	24	23	that	that	ADV
amq-160	24	24	is	is	ADV
amq-160	24	25	,	,	PUNCT
amq-160	24	26	the	the	DET
amq-160	24	27	standard	standard	ADJ
amq-160	24	28	statistical	statistical	ADJ
amq-160	24	29	analysis	analysis	NOUN
amq-160	24	30	is	be	AUX
amq-160	24	31	conveniently	conveniently	ADV
amq-160	24	32	performed	perform	VERB
amq-160	24	33	after	after	ADP
amq-160	24	34	choosing	choose	VERB
amq-160	24	35	logratio	logratio	NOUN
amq-160	24	36	coordinates	coordinate	NOUN
amq-160	24	37	.	.	PUNCT
amq-160	25	1	in	in	ADP
amq-160	25	2	particular	particular	ADJ
amq-160	25	3	,	,	PUNCT
amq-160	25	4	we	we	PRON
amq-160	25	5	considered	consider	VERB
amq-160	25	6	to	to	PART
amq-160	25	7	express	express	VERB
amq-160	25	8	each	each	DET
amq-160	25	9	d	d	NOUN
amq-160	25	10	-	-	NOUN
amq-160	25	11	vector	vector	NOUN
amq-160	25	12	x	x	X
amq-160	25	13	=	=	SYM
amq-160	25	14	(	(	PUNCT
amq-160	25	15	x1	x1	PROPN
amq-160	25	16	,	,	PUNCT
amq-160	25	17	...	...	PUNCT
amq-160	25	18	,	,	PUNCT
amq-160	25	19	xd	xd	INTJ
amq-160	25	20	)	)	PUNCT
amq-160	25	21	of	of	ADP
amq-160	25	22	percentages	percentage	NOUN
amq-160	25	23	of	of	ADP
amq-160	25	24	species	specie	NOUN
amq-160	25	25	as	as	ADP
amq-160	25	26	:	:	PUNCT
amq-160	25	27	1	1	NUM
amq-160	25	28	)	)	PUNCT
amq-160	25	29	a	a	DET
amq-160	25	30	d	d	ADJ
amq-160	25	31	-	-	ADJ
amq-160	25	32	dimensional	dimensional	ADJ
amq-160	25	33	vector	vector	NOUN
amq-160	25	34	z=(z1	z=(z1	NOUN
amq-160	25	35	,	,	PUNCT
amq-160	25	36	...	...	PUNCT
amq-160	25	37	,	,	PUNCT
amq-160	25	38	zd	zd	PROPN
amq-160	25	39	)	)	PUNCT
amq-160	25	40	of	of	ADP
amq-160	25	41	centred	centre	VERB
amq-160	25	42	log	log	NOUN
amq-160	25	43	-	-	PUNCT
amq-160	25	44	ratio	ratio	NOUN
amq-160	25	45	coordinates	coordinate	NOUN
amq-160	25	46	(	(	PUNCT
amq-160	25	47	z	z	NOUN
amq-160	25	48	=	=	SYM
amq-160	25	49	clr(x	clr(x	NOUN
amq-160	25	50	)	)	PUNCT
amq-160	25	51	)	)	PUNCT
amq-160	25	52	(	(	PUNCT
amq-160	25	53	aitchison	aitchison	PROPN
amq-160	25	54	,	,	PUNCT
amq-160	25	55	1986	1986	NUM
amq-160	25	56	)	)	PUNCT
amq-160	25	57	and	and	CCONJ
amq-160	25	58	2	2	X
amq-160	25	59	)	)	PUNCT
amq-160	25	60	a	a	DET
amq-160	25	61	(	(	PUNCT
amq-160	25	62	d−1)-dimensional	d−1)-dimensional	ADJ
amq-160	25	63	real	real	ADJ
amq-160	25	64	vector	vector	NOUN
amq-160	25	65	y=(y1	y=(y1	NOUN
amq-160	25	66	,	,	PUNCT
amq-160	25	67	...	...	PUNCT
amq-160	25	68	,	,	PUNCT
amq-160	25	69	yd-1	yd-1	NOUN
amq-160	25	70	)	)	PUNCT
amq-160	25	71	of	of	ADP
amq-160	25	72	isometric	isometric	ADJ
amq-160	25	73	log	log	NOUN
amq-160	25	74	-	-	PUNCT
amq-160	25	75	ratio	ratio	NOUN
amq-160	25	76	coordinates	coordinate	NOUN
amq-160	25	77	(	(	PUNCT
amq-160	25	78	y	y	PROPN
amq-160	25	79	=	=	SYM
amq-160	25	80	ilr(x	ilr(x	PROPN
amq-160	25	81	)	)	PUNCT
amq-160	25	82	)	)	PUNCT
amq-160	26	1	(	(	PUNCT
amq-160	26	2	egozcue	egozcue	ADV
amq-160	26	3	et	et	PROPN
amq-160	26	4	al	al	PROPN
amq-160	26	5	.	.	PROPN
amq-160	26	6	,	,	PUNCT
amq-160	26	7	2003	2003	NUM
amq-160	26	8	)	)	PUNCT
amq-160	26	9	(	(	PUNCT
amq-160	26	10	see	see	VERB
amq-160	26	11	appendix	appendix	NOUN
amq-160	26	12	1	1	NUM
amq-160	26	13	in	in	ADP
amq-160	26	14	di	di	NOUN
amq-160	26	15	donato	donato	NOUN
amq-160	26	16	et	et	PROPN
amq-160	26	17	al	al	PROPN
amq-160	26	18	.	.	PROPN
amq-160	27	1	(	(	PUNCT
amq-160	27	2	2018	2018	NUM
amq-160	27	3	)	)	PUNCT
amq-160	27	4	for	for	ADP
amq-160	27	5	definitions	definition	NOUN
amq-160	27	6	and	and	CCONJ
amq-160	27	7	details	detail	NOUN
amq-160	27	8	)	)	PUNCT
amq-160	27	9	.	.	PUNCT
amq-160	28	1	to	to	PART
amq-160	28	2	develop	develop	VERB
amq-160	28	3	our	our	PRON
amq-160	28	4	approach	approach	NOUN
amq-160	28	5	,	,	PUNCT
amq-160	28	6	the	the	DET
amq-160	28	7	following	follow	VERB
amq-160	28	8	points	point	NOUN
amq-160	28	9	were	be	AUX
amq-160	28	10	considered	consider	VERB
amq-160	28	11	:	:	PUNCT
amq-160	28	12	1	1	X
amq-160	28	13	)	)	PUNCT
amq-160	28	14	pre	pre	ADJ
amq-160	28	15	-	-	ADJ
amq-160	28	16	processing	processing	ADJ
amq-160	28	17	techniques	technique	NOUN
amq-160	28	18	;	;	PUNCT
amq-160	28	19	2	2	X
amq-160	28	20	)	)	PUNCT
amq-160	28	21	elaboration	elaboration	NOUN
amq-160	28	22	of	of	ADP
amq-160	28	23	regression	regression	NOUN
amq-160	28	24	-	-	PUNCT
amq-160	28	25	based	base	VERB
amq-160	28	26	transfer	transfer	NOUN
amq-160	28	27	functions	function	NOUN
amq-160	28	28	3	3	NUM
amq-160	28	29	)	)	PUNCT
amq-160	28	30	evaluation	evaluation	NOUN
amq-160	28	31	of	of	ADP
amq-160	28	32	the	the	DET
amq-160	28	33	results	result	NOUN
amq-160	28	34	4	4	NUM
amq-160	28	35	)	)	PUNCT
amq-160	28	36	application	application	NOUN
amq-160	28	37	to	to	ADP
amq-160	28	38	fossil	fossil	ADJ
amq-160	28	39	assemblages	assemblage	NOUN
amq-160	28	40	.	.	PUNCT
amq-160	29	1	as	as	ADP
amq-160	29	2	case	case	NOUN
amq-160	29	3	studies	study	NOUN
amq-160	29	4	,	,	PUNCT
amq-160	29	5	we	we	PRON
amq-160	29	6	considered	consider	VERB
amq-160	29	7	applications	application	NOUN
amq-160	29	8	based	base	VERB
amq-160	29	9	on	on	ADP
amq-160	29	10	the	the	DET
amq-160	29	11	estimation	estimation	NOUN
amq-160	29	12	of	of	ADP
amq-160	29	13	past	past	PROPN
amq-160	29	14	sea	sea	NOUN
amq-160	29	15	surface	surface	NOUN
amq-160	29	16	temperatures	temperature	NOUN
amq-160	29	17	(	(	PUNCT
amq-160	29	18	sst	sst	NOUN
amq-160	29	19	)	)	PUNCT
amq-160	29	20	from	from	ADP
amq-160	29	21	planktonic	planktonic	ADJ
amq-160	29	22	foraminifera	foraminifera	NOUN
amq-160	29	23	assemblages	assemblage	NOUN
amq-160	29	24	.	.	PUNCT
amq-160	30	1	however	however	ADV
amq-160	30	2	,	,	PUNCT
amq-160	30	3	the	the	DET
amq-160	30	4	described	describe	VERB
amq-160	30	5	methods	method	NOUN
amq-160	30	6	may	may	AUX
amq-160	30	7	be	be	AUX
amq-160	30	8	applied	apply	VERB
amq-160	30	9	to	to	ADP
amq-160	30	10	different	different	ADJ
amq-160	30	11	palaeoecological	palaeoecological	ADJ
amq-160	30	12	contexts	contexts	NOUN
amq-160	30	13	.	.	PUNCT
amq-160	31	1	the	the	DET
amq-160	31	2	analyses	analysis	NOUN
amq-160	31	3	were	be	AUX
amq-160	31	4	carried	carry	VERB
amq-160	31	5	out	out	ADP
amq-160	31	6	with	with	ADP
amq-160	31	7	matlab	matlab	PROPN
amq-160	31	8	codes	code	NOUN
amq-160	31	9	except	except	SCONJ
amq-160	31	10	for	for	ADP
amq-160	31	11	raw	raw	ADJ
amq-160	31	12	-	-	PUNCT
amq-160	31	13	data	datum	NOUN
amq-160	31	14	analysis	analysis	NOUN
amq-160	31	15	which	which	PRON
amq-160	31	16	was	be	AUX
amq-160	31	17	computed	compute	VERB
amq-160	31	18	with	with	ADP
amq-160	31	19	r	r	NOUN
amq-160	31	20	package	package	NOUN
amq-160	31	21	rioja	rioja	NOUN
amq-160	31	22	https://doi.org/10.26382/amq.2020.02	https://doi.org/10.26382/amq.2020.02	ADP
amq-160	31	23	32	32	NUM
amq-160	31	24	di	di	NOUN
amq-160	31	25	donato	donato	NOUN
amq-160	31	26	v.	v.	ADP
amq-160	31	27	et	et	PROPN
amq-160	31	28	al	al	PROPN
amq-160	31	29	.	.	PUNCT
amq-160	32	1	(	(	PUNCT
amq-160	32	2	juggins	juggin	NOUN
amq-160	32	3	,	,	PUNCT
amq-160	32	4	2017	2017	NUM
amq-160	32	5	)	)	PUNCT
amq-160	32	6	.	.	PUNCT
amq-160	33	1	matlab	matlab	PROPN
amq-160	33	2	routines	routine	NOUN
amq-160	33	3	expressly	expressly	ADV
amq-160	33	4	written	write	VERB
amq-160	33	5	to	to	PART
amq-160	33	6	perform	perform	VERB
amq-160	33	7	coda	coda	NOUN
amq-160	33	8	-	-	PUNCT
amq-160	33	9	regression	regression	NOUN
amq-160	33	10	and	and	CCONJ
amq-160	33	11	codamat	codamat	NOUN
amq-160	33	12	are	be	AUX
amq-160	33	13	provided	provide	VERB
amq-160	33	14	in	in	ADP
amq-160	33	15	the	the	DET
amq-160	33	16	supplementary	supplementary	ADJ
amq-160	33	17	materials	material	NOUN
amq-160	33	18	.	.	PUNCT
amq-160	34	1	the	the	DET
amq-160	34	2	robust	robust	ADJ
amq-160	34	3	partial	partial	ADJ
amq-160	34	4	least	least	ADJ
amq-160	34	5	squares	square	NOUN
amq-160	34	6	regression	regression	NOUN
amq-160	34	7	requires	require	VERB
amq-160	34	8	the	the	DET
amq-160	34	9	rsimpls.m	rsimpls.m	PUNCT
amq-160	34	10	matlab	matlab	PROPN
amq-160	34	11	code	code	PROPN
amq-160	34	12	included	include	VERB
amq-160	34	13	in	in	ADP
amq-160	34	14	the	the	DET
amq-160	34	15	libra	libra	NOUN
amq-160	34	16	package	package	NOUN
amq-160	34	17	(	(	PUNCT
amq-160	34	18	verboven	verboven	PROPN
amq-160	34	19	&	&	CCONJ
amq-160	34	20	hubert	hubert	PROPN
amq-160	34	21	,	,	PUNCT
amq-160	34	22	2004	2004	NUM
amq-160	34	23	)	)	PUNCT
amq-160	34	24	,	,	PUNCT
amq-160	34	25	available	available	ADJ
amq-160	34	26	at	at	ADP
amq-160	34	27	https://github.com/	https://github.com/	PROPN
amq-160	34	28	duncombe	duncombe	NOUN
amq-160	34	29	/	/	SYM
amq-160	34	30	matlab	matlab	PROPN
amq-160	34	31	/	/	SYM
amq-160	34	32	blob	blob	ADJ
amq-160	34	33	/	/	SYM
amq-160	34	34	master	master	NOUN
amq-160	34	35	/	/	SYM
amq-160	34	36	libra	libra	NOUN
amq-160	34	37	/	/	PUNCT
amq-160	34	38	rsimpls.m	rsimpls.m	NOUN
amq-160	34	39	.	.	PUNCT
amq-160	35	1	a	a	DET
amq-160	35	2	workflow	workflow	NOUN
amq-160	35	3	of	of	ADP
amq-160	35	4	the	the	DET
amq-160	35	5	analysis	analysis	NOUN
amq-160	35	6	is	be	AUX
amq-160	35	7	shown	show	VERB
amq-160	35	8	in	in	ADP
amq-160	35	9	table	table	NOUN
amq-160	35	10	1	1	NUM
amq-160	35	11	.	.	NOUN
amq-160	35	12	2	2	NUM
amq-160	35	13	.	.	X
amq-160	35	14	approaching	approach	VERB
amq-160	35	15	the	the	DET
amq-160	35	16	analysis	analysis	NOUN
amq-160	35	17	2.1	2.1	NUM
amq-160	35	18	.	.	PUNCT
amq-160	36	1	the	the	DET
amq-160	36	2	dataset	dataset	NOUN
amq-160	36	3	the	the	DET
amq-160	36	4	dataset	dataset	NOUN
amq-160	36	5	on	on	ADP
amq-160	36	6	which	which	PRON
amq-160	36	7	our	our	PRON
amq-160	36	8	applications	application	NOUN
amq-160	36	9	are	be	AUX
amq-160	36	10	computed	compute	VERB
amq-160	36	11	is	be	AUX
amq-160	36	12	represented	represent	VERB
amq-160	36	13	by	by	ADP
amq-160	36	14	a	a	DET
amq-160	36	15	database	database	NOUN
amq-160	36	16	consisting	consist	VERB
amq-160	36	17	of	of	ADP
amq-160	36	18	1252	1252	NUM
amq-160	36	19	atlantic	atlantic	PROPN
amq-160	36	20	and	and	CCONJ
amq-160	36	21	mediterranean	mediterranean	PROPN
amq-160	36	22	planktonic	planktonic	ADJ
amq-160	36	23	foraminifera	foraminifera	NOUN
amq-160	36	24	coretop	coretop	ADJ
amq-160	36	25	assemblages	assemblage	NOUN
amq-160	36	26	,	,	PUNCT
amq-160	36	27	which	which	PRON
amq-160	36	28	represent	represent	VERB
amq-160	36	29	the	the	DET
amq-160	36	30	regressor	regressor	NOUN
amq-160	36	31	variables	variable	NOUN
amq-160	36	32	,	,	PUNCT
amq-160	36	33	determined	determine	VERB
amq-160	36	34	on	on	ADP
amq-160	36	35	the	the	DET
amq-160	36	36	>	>	SYM
amq-160	36	37	150	150	NUM
amq-160	36	38	μm	μm	NOUN
amq-160	36	39	size	size	NOUN
amq-160	36	40	fraction	fraction	NOUN
amq-160	36	41	(	(	PUNCT
amq-160	36	42	prell	prell	PROPN
amq-160	36	43	et	et	PROPN
amq-160	36	44	al	al	PROPN
amq-160	36	45	.	.	PROPN
amq-160	36	46	,	,	PUNCT
amq-160	36	47	1999	1999	NUM
amq-160	36	48	;	;	PUNCT
amq-160	36	49	hayes	hayes	PROPN
amq-160	36	50	et	et	PROPN
amq-160	36	51	al	al	PROPN
amq-160	36	52	.	.	PROPN
amq-160	36	53	,	,	PUNCT
amq-160	36	54	2004	2004	NUM
amq-160	36	55	;	;	PUNCT
amq-160	36	56	kucera	kucera	NOUN
amq-160	36	57	et	et	PROPN
amq-160	36	58	al	al	PROPN
amq-160	36	59	.	.	PROPN
amq-160	36	60	,	,	PUNCT
amq-160	36	61	2004	2004	NUM
amq-160	36	62	)	)	PUNCT
amq-160	36	63	(	(	PUNCT
amq-160	36	64	fig	fig	NOUN
amq-160	36	65	.	.	PUNCT
amq-160	36	66	1	1	NUM
amq-160	36	67	)	)	PUNCT
amq-160	36	68	.	.	PUNCT
amq-160	37	1	in	in	ADP
amq-160	37	2	this	this	DET
amq-160	37	3	paper	paper	NOUN
amq-160	37	4	we	we	PRON
amq-160	37	5	considered	consider	VERB
amq-160	37	6	sst	sst	NOUN
amq-160	37	7	as	as	ADP
amq-160	37	8	response	response	NOUN
amq-160	37	9	variables	variable	NOUN
amq-160	37	10	.	.	PUNCT
amq-160	38	1	the	the	DET
amq-160	38	2	oceanographical	oceanographical	ADJ
amq-160	38	3	data	datum	NOUN
amq-160	38	4	,	,	PUNCT
amq-160	38	5	consisting	consist	VERB
amq-160	38	6	of	of	ADP
amq-160	38	7	mean	mean	ADJ
amq-160	38	8	annual	annual	ADJ
amq-160	38	9	and	and	CCONJ
amq-160	38	10	seasonal	seasonal	ADJ
amq-160	38	11	sst	sst	NOUN
amq-160	38	12	refer	refer	NOUN
amq-160	38	13	to	to	ADP
amq-160	38	14	antonov	antonov	PROPN
amq-160	38	15	et	et	PROPN
amq-160	38	16	al	al	PROPN
amq-160	38	17	.	.	PROPN
amq-160	38	18	(	(	PUNCT
amq-160	38	19	2010	2010	NUM
amq-160	38	20	)	)	PUNCT
amq-160	38	21	and	and	CCONJ
amq-160	38	22	locarnini	locarnini	NOUN
amq-160	38	23	et	et	PROPN
amq-160	38	24	al	al	PROPN
amq-160	38	25	.	.	PROPN
amq-160	38	26	(	(	PUNCT
amq-160	38	27	2010	2010	NUM
amq-160	38	28	)	)	PUNCT
amq-160	38	29	.	.	PUNCT
amq-160	39	1	seasonal	seasonal	ADJ
amq-160	39	2	temperatures	temperature	NOUN
amq-160	39	3	are	be	AUX
amq-160	39	4	3	3	NUM
amq-160	39	5	months	month	NOUN
amq-160	39	6	averages	average	NOUN
amq-160	39	7	,	,	PUNCT
amq-160	39	8	i.e.	i.e.	X
amq-160	39	9	january	january	PROPN
amq-160	39	10	–	–	PUNCT
amq-160	39	11	march	march	NOUN
amq-160	39	12	for	for	ADP
amq-160	39	13	northern	northern	ADJ
amq-160	39	14	(	(	PUNCT
amq-160	39	15	southern	southern	ADJ
amq-160	39	16	)	)	PUNCT
amq-160	39	17	winter	winter	NOUN
amq-160	39	18	(	(	PUNCT
amq-160	39	19	summer	summer	NOUN
amq-160	39	20	)	)	PUNCT
amq-160	39	21	and	and	CCONJ
amq-160	39	22	july	july	PROPN
amq-160	39	23	–	–	PUNCT
amq-160	39	24	september	september	PROPN
amq-160	39	25	for	for	ADP
amq-160	39	26	northern	northern	ADJ
amq-160	39	27	(	(	PUNCT
amq-160	39	28	southern	southern	ADJ
amq-160	39	29	)	)	PUNCT
amq-160	39	30	summer	summer	NOUN
amq-160	39	31	(	(	PUNCT
amq-160	39	32	winter	winter	NOUN
amq-160	39	33	)	)	PUNCT
amq-160	39	34	.	.	PUNCT
amq-160	40	1	the	the	DET
amq-160	40	2	sst	sst	PROPN
amq-160	40	3	values	value	NOUN
amq-160	40	4	at	at	ADP
amq-160	40	5	coretop	coretop	ADJ
amq-160	40	6	locations	location	NOUN
amq-160	40	7	were	be	AUX
amq-160	40	8	computed	compute	VERB
amq-160	40	9	by	by	ADP
amq-160	40	10	means	mean	NOUN
amq-160	40	11	of	of	ADP
amq-160	40	12	ocean	ocean	NOUN
amq-160	40	13	data	datum	NOUN
amq-160	40	14	view	view	VERB
amq-160	40	15	4.7.10	4.7.10	NUM
amq-160	40	16	(	(	PUNCT
amq-160	40	17	schlitzer	schlitzer	NOUN
amq-160	40	18	,	,	PUNCT
amq-160	40	19	2018	2018	NUM
amq-160	40	20	)	)	PUNCT
amq-160	40	21	.	.	PUNCT
amq-160	41	1	following	follow	VERB
amq-160	41	2	kucera	kucera	NOUN
amq-160	41	3	et	et	PROPN
amq-160	41	4	al	al	PROPN
amq-160	41	5	.	.	PROPN
amq-160	42	1	(	(	PUNCT
amq-160	42	2	2005	2005	NUM
amq-160	42	3	)	)	PUNCT
amq-160	42	4	,	,	PUNCT
amq-160	42	5	oceanographical	oceanographical	ADJ
amq-160	42	6	data	datum	NOUN
amq-160	42	7	are	be	AUX
amq-160	42	8	related	relate	VERB
amq-160	42	9	to	to	ADP
amq-160	42	10	a	a	DET
amq-160	42	11	depth	depth	NOUN
amq-160	42	12	tab	tab	NOUN
amq-160	42	13	.	.	PUNCT
amq-160	43	1	1	1	NUM
amq-160	43	2	workflow	workflow	NOUN
amq-160	43	3	of	of	ADP
amq-160	43	4	the	the	DET
amq-160	43	5	analysis	analysis	NOUN
amq-160	43	6	fig	fig	NOUN
amq-160	43	7	.	.	PUNCT
amq-160	44	1	1	1	NUM
amq-160	44	2	location	location	NOUN
amq-160	44	3	of	of	ADP
amq-160	44	4	modern	modern	ADJ
amq-160	44	5	planktonic	planktonic	ADJ
amq-160	44	6	foraminifera	foraminifera	NOUN
amq-160	44	7	coretop	coretop	NOUN
amq-160	44	8	samples	sample	NOUN
amq-160	44	9	adopted	adopt	VERB
amq-160	44	10	for	for	ADP
amq-160	44	11	application	application	NOUN
amq-160	44	12	of	of	ADP
amq-160	44	13	coda	coda	NOUN
amq-160	44	14	-	-	PUNCT
amq-160	44	15	mat	mat	NOUN
amq-160	44	16	.	.	NOUN
amq-160	44	17	drawn	draw	VERB
amq-160	44	18	with	with	ADP
amq-160	44	19	ocean	ocean	NOUN
amq-160	44	20	data	data	PROPN
amq-160	44	21	view	view	NOUN
amq-160	44	22	software	software	NOUN
amq-160	44	23	(	(	PUNCT
amq-160	44	24	schlitzer	schlitzer	NOUN
amq-160	44	25	,	,	PUNCT
amq-160	44	26	2018	2018	NUM
amq-160	44	27	)	)	PUNCT
amq-160	44	28	.	.	PUNCT
amq-160	45	1	33	33	NUM
amq-160	45	2	coda	coda	ADJ
amq-160	45	3	regression	regression	NOUN
amq-160	45	4	-	-	PUNCT
amq-160	45	5	based	base	VERB
amq-160	45	6	sst	sst	NOUN
amq-160	45	7	reconstruction	reconstruction	NOUN
amq-160	45	8	of	of	ADP
amq-160	45	9	10	10	NUM
amq-160	45	10	m.	m.	NOUN
amq-160	45	11	2.2	2.2	NUM
amq-160	45	12	data	datum	NOUN
amq-160	45	13	pre	pre	ADJ
amq-160	45	14	-	-	ADJ
amq-160	45	15	processing	processing	ADJ
amq-160	45	16	:	:	PUNCT
amq-160	45	17	subcomposition	subcomposition	NOUN
amq-160	45	18	,	,	PUNCT
amq-160	45	19	amalgamation	amalgamation	NOUN
amq-160	45	20	and	and	CCONJ
amq-160	45	21	zero	zero	NUM
amq-160	45	22	replacement	replacement	NOUN
amq-160	45	23	the	the	DET
amq-160	45	24	data	datum	NOUN
amq-160	45	25	pre	pre	ADJ
amq-160	45	26	-	-	ADJ
amq-160	45	27	processing	processing	NOUN
amq-160	45	28	which	which	PRON
amq-160	45	29	is	be	AUX
amq-160	45	30	needed	need	VERB
amq-160	45	31	to	to	PART
amq-160	45	32	accomplish	accomplish	VERB
amq-160	45	33	the	the	DET
amq-160	45	34	analysis	analysis	NOUN
amq-160	45	35	is	be	AUX
amq-160	45	36	fully	fully	ADV
amq-160	45	37	explained	explain	VERB
amq-160	45	38	in	in	ADP
amq-160	45	39	di	di	NOUN
amq-160	45	40	donato	donato	NOUN
amq-160	45	41	et	et	PROPN
amq-160	45	42	al	al	PROPN
amq-160	45	43	.	.	PROPN
amq-160	46	1	(	(	PUNCT
amq-160	46	2	2018	2018	NUM
amq-160	46	3	)	)	PUNCT
amq-160	46	4	and	and	CCONJ
amq-160	46	5	will	will	AUX
amq-160	46	6	not	not	PART
amq-160	46	7	be	be	AUX
amq-160	46	8	detailed	detail	VERB
amq-160	46	9	here	here	ADV
amq-160	46	10	.	.	PUNCT
amq-160	47	1	in	in	ADP
amq-160	47	2	short	short	ADJ
amq-160	47	3	,	,	PUNCT
amq-160	47	4	our	our	PRON
amq-160	47	5	approach	approach	NOUN
amq-160	47	6	requires	require	VERB
amq-160	47	7	data	datum	NOUN
amq-160	47	8	to	to	PART
amq-160	47	9	be	be	AUX
amq-160	47	10	strictly	strictly	ADV
amq-160	47	11	positive	positive	ADJ
amq-160	47	12	(	(	PUNCT
amq-160	47	13	aitchison	aitchison	PROPN
amq-160	47	14	,	,	PUNCT
amq-160	47	15	1986	1986	NUM
amq-160	47	16	)	)	PUNCT
amq-160	47	17	.	.	PUNCT
amq-160	48	1	to	to	PART
amq-160	48	2	reduce	reduce	VERB
amq-160	48	3	the	the	DET
amq-160	48	4	number	number	NOUN
amq-160	48	5	of	of	ADP
amq-160	48	6	zero	zero	NUM
amq-160	48	7	values	value	NOUN
amq-160	48	8	to	to	PART
amq-160	48	9	be	be	AUX
amq-160	48	10	replaced	replace	VERB
amq-160	48	11	,	,	PUNCT
amq-160	48	12	rarer	rarer	X
amq-160	48	13	species	specie	NOUN
amq-160	48	14	,	,	PUNCT
amq-160	48	15	which	which	PRON
amq-160	48	16	carry	carry	VERB
amq-160	48	17	inevitably	inevitably	ADV
amq-160	48	18	low	low	ADJ
amq-160	48	19	signal	signal	NOUN
amq-160	48	20	to	to	PART
amq-160	48	21	noise	noise	VERB
amq-160	48	22	ratios	ratio	NOUN
amq-160	48	23	(	(	PUNCT
amq-160	48	24	kucera	kucera	NOUN
amq-160	48	25	et	et	PROPN
amq-160	48	26	al	al	PROPN
amq-160	48	27	.	.	PROPN
amq-160	48	28	,	,	PUNCT
amq-160	48	29	2005	2005	NUM
amq-160	48	30	)	)	PUNCT
amq-160	48	31	can	can	AUX
amq-160	48	32	be	be	AUX
amq-160	48	33	excluded	exclude	VERB
amq-160	48	34	from	from	ADP
amq-160	48	35	the	the	DET
amq-160	48	36	assemblages	assemblage	NOUN
amq-160	48	37	,	,	PUNCT
amq-160	48	38	by	by	ADP
amq-160	48	39	considering	consider	VERB
amq-160	48	40	a	a	DET
amq-160	48	41	subcomposition	subcomposition	NOUN
amq-160	48	42	(	(	PUNCT
amq-160	48	43	aitchison	aitchison	PROPN
amq-160	48	44	,	,	PUNCT
amq-160	48	45	1986	1986	NUM
amq-160	48	46	)	)	PUNCT
amq-160	48	47	of	of	ADP
amq-160	48	48	the	the	DET
amq-160	48	49	original	original	ADJ
amq-160	48	50	assemblages	assemblage	NOUN
amq-160	48	51	.	.	PUNCT
amq-160	49	1	moreover	moreover	ADV
amq-160	49	2	,	,	PUNCT
amq-160	49	3	an	an	DET
amq-160	49	4	amalgamation	amalgamation	NOUN
amq-160	49	5	of	of	ADP
amq-160	49	6	taxa	taxa	NOUN
amq-160	49	7	characterised	characterise	VERB
amq-160	49	8	by	by	ADP
amq-160	49	9	similar	similar	ADJ
amq-160	49	10	ecological	ecological	ADJ
amq-160	49	11	requirements	requirement	NOUN
amq-160	49	12	can	can	AUX
amq-160	49	13	be	be	AUX
amq-160	49	14	also	also	ADV
amq-160	49	15	considered	consider	VERB
amq-160	49	16	(	(	PUNCT
amq-160	49	17	aitchison	aitchison	PROPN
amq-160	49	18	,	,	PUNCT
amq-160	49	19	1986	1986	NUM
amq-160	49	20	)	)	PUNCT
amq-160	49	21	.	.	PUNCT
amq-160	50	1	to	to	PART
amq-160	50	2	manage	manage	VERB
amq-160	50	3	the	the	DET
amq-160	50	4	zeros	zero	NOUN
amq-160	50	5	occurring	occur	VERB
amq-160	50	6	in	in	ADP
amq-160	50	7	the	the	DET
amq-160	50	8	data	datum	NOUN
amq-160	50	9	,	,	PUNCT
amq-160	50	10	we	we	PRON
amq-160	50	11	adopted	adopt	VERB
amq-160	50	12	a	a	DET
amq-160	50	13	mixed	mixed	ADJ
amq-160	50	14	bayesian	bayesian	NOUN
amq-160	50	15	-	-	PUNCT
amq-160	50	16	multiplicative	multiplicative	VERB
amq-160	50	17	estimation	estimation	NOUN
amq-160	50	18	approach	approach	NOUN
amq-160	50	19	,	,	PUNCT
amq-160	50	20	which	which	PRON
amq-160	50	21	is	be	AUX
amq-160	50	22	recommended	recommend	VERB
amq-160	50	23	when	when	SCONJ
amq-160	50	24	the	the	DET
amq-160	50	25	compositional	compositional	ADJ
amq-160	50	26	data	datum	NOUN
amq-160	50	27	arise	arise	VERB
amq-160	50	28	from	from	ADP
amq-160	50	29	counts	count	NOUN
amq-160	50	30	(	(	PUNCT
amq-160	50	31	martín	martín	NOUN
amq-160	50	32	-	-	PUNCT
amq-160	50	33	fernández	fernández	PROPN
amq-160	50	34	et	et	PROPN
amq-160	50	35	al	al	PROPN
amq-160	50	36	.	.	PROPN
amq-160	50	37	,	,	PUNCT
amq-160	50	38	2003	2003	NUM
amq-160	50	39	;	;	PUNCT
amq-160	50	40	martín	martín	NOUN
amq-160	50	41	-	-	PUNCT
amq-160	50	42	fernández	fernández	PROPN
amq-160	50	43	et	et	PROPN
amq-160	50	44	al	al	PROPN
amq-160	50	45	.	.	PROPN
amq-160	50	46	,	,	PUNCT
amq-160	50	47	2015	2015	NUM
amq-160	50	48	)	)	PUNCT
amq-160	50	49	(	(	PUNCT
amq-160	50	50	see	see	VERB
amq-160	50	51	also	also	ADV
amq-160	50	52	appendix	appendix	VERB
amq-160	50	53	1	1	NUM
amq-160	50	54	in	in	ADP
amq-160	50	55	di	di	NOUN
amq-160	50	56	donato	donato	NOUN
amq-160	50	57	et	et	PROPN
amq-160	50	58	al	al	PROPN
amq-160	50	59	.	.	PROPN
amq-160	50	60	,	,	PUNCT
amq-160	50	61	2018	2018	NUM
amq-160	50	62	)	)	PUNCT
amq-160	50	63	.	.	PUNCT
amq-160	51	1	after	after	ADP
amq-160	51	2	the	the	DET
amq-160	51	3	zero	zero	NUM
amq-160	51	4	replacement	replacement	NOUN
amq-160	51	5	,	,	PUNCT
amq-160	51	6	the	the	DET
amq-160	51	7	clrand	clrand	NOUN
amq-160	51	8	ilrcoordinates	ilrcoordinate	VERB
amq-160	51	9	’	'	PUNCT
amq-160	51	10	vectors	vector	NOUN
amq-160	51	11	for	for	ADP
amq-160	51	12	the	the	DET
amq-160	51	13	fossil	fossil	NOUN
amq-160	51	14	and	and	CCONJ
amq-160	51	15	modern	modern	ADJ
amq-160	51	16	data	datum	NOUN
amq-160	51	17	are	be	AUX
amq-160	51	18	obtained	obtain	VERB
amq-160	51	19	.	.	PUNCT
amq-160	52	1	thus	thus	ADV
amq-160	52	2	,	,	PUNCT
amq-160	52	3	fossil	fossil	ADJ
amq-160	52	4	assemblages	assemblage	NOUN
amq-160	52	5	are	be	AUX
amq-160	52	6	represented	represent	VERB
amq-160	52	7	by	by	ADP
amq-160	52	8	its	its	PRON
amq-160	52	9	logratio	logratio	NOUN
amq-160	52	10	-	-	PUNCT
amq-160	52	11	coordinates	coordinate	NOUN
amq-160	52	12	,	,	PUNCT
amq-160	52	13	whereas	whereas	SCONJ
amq-160	52	14	the	the	DET
amq-160	52	15	modern	modern	ADJ
amq-160	52	16	database	database	NOUN
amq-160	52	17	is	be	AUX
amq-160	52	18	consisting	consist	VERB
amq-160	52	19	of	of	ADP
amq-160	52	20	logratio	logratio	NOUN
amq-160	52	21	-	-	PUNCT
amq-160	52	22	coordinates	coordinate	NOUN
amq-160	52	23	together	together	ADV
amq-160	52	24	with	with	ADP
amq-160	52	25	the	the	DET
amq-160	52	26	environmental	environmental	ADJ
amq-160	52	27	parameters	parameter	NOUN
amq-160	52	28	measured	measure	VERB
amq-160	52	29	at	at	ADP
amq-160	52	30	each	each	DET
amq-160	52	31	location	location	NOUN
amq-160	52	32	.	.	PUNCT
amq-160	53	1	the	the	DET
amq-160	53	2	ilr	ilr	PROPN
amq-160	53	3	coordinates	coordinate	NOUN
amq-160	53	4	can	can	AUX
amq-160	53	5	be	be	AUX
amq-160	53	6	computed	compute	VERB
amq-160	53	7	by	by	ADP
amq-160	53	8	means	mean	NOUN
amq-160	53	9	of	of	ADP
amq-160	53	10	balances	balance	NOUN
amq-160	53	11	(	(	PUNCT
amq-160	53	12	egozcue	egozcue	X
amq-160	53	13	et	et	PROPN
amq-160	53	14	al	al	PROPN
amq-160	53	15	.	.	PROPN
amq-160	53	16	,	,	PUNCT
amq-160	53	17	2005	2005	NUM
amq-160	53	18	)	)	PUNCT
amq-160	53	19	.	.	PUNCT
amq-160	54	1	these	these	PRON
amq-160	54	2	are	be	AUX
amq-160	54	3	logcontrasts	logcontrast	NOUN
amq-160	54	4	obtained	obtain	VERB
amq-160	54	5	by	by	ADP
amq-160	54	6	means	mean	NOUN
amq-160	54	7	of	of	ADP
amq-160	54	8	a	a	DET
amq-160	54	9	sequential	sequential	ADJ
amq-160	54	10	binary	binary	ADJ
amq-160	54	11	partition	partition	NOUN
amq-160	54	12	(	(	PUNCT
amq-160	54	13	sbp	sbp	NOUN
amq-160	54	14	)	)	PUNCT
amq-160	54	15	matrix	matrix	NOUN
amq-160	54	16	.	.	PUNCT
amq-160	55	1	for	for	ADP
amq-160	55	2	each	each	DET
amq-160	55	3	order	order	NOUN
amq-160	55	4	of	of	ADP
amq-160	55	5	the	the	DET
amq-160	55	6	partition	partition	NOUN
amq-160	55	7	,	,	PUNCT
amq-160	55	8	it	it	PRON
amq-160	55	9	is	be	AUX
amq-160	55	10	possible	possible	ADJ
amq-160	55	11	to	to	PART
amq-160	55	12	define	define	VERB
amq-160	55	13	the	the	DET
amq-160	55	14	balance	balance	NOUN
amq-160	55	15	between	between	ADP
amq-160	55	16	the	the	DET
amq-160	55	17	two	two	NUM
amq-160	55	18	sub	sub	NOUN
amq-160	55	19	-	-	NOUN
amq-160	55	20	groups	group	NOUN
amq-160	55	21	formed	form	VERB
amq-160	55	22	at	at	ADP
amq-160	55	23	that	that	DET
amq-160	55	24	level	level	NOUN
amq-160	55	25	:	:	PUNCT
amq-160	55	26	if	if	SCONJ
amq-160	55	27	i1	i1	PROPN
amq-160	55	28	,	,	PUNCT
amq-160	55	29	i2	i2	PROPN
amq-160	55	30	,	,	PUNCT
amq-160	55	31	…	…	PUNCT
amq-160	55	32	,	,	PUNCT
amq-160	55	33	ir	ir	PROPN
amq-160	55	34	are	be	AUX
amq-160	55	35	the	the	DET
amq-160	55	36	r	r	NOUN
amq-160	55	37	parts	part	NOUN
amq-160	55	38	of	of	ADP
amq-160	55	39	the	the	DET
amq-160	55	40	subgroup	subgroup	NOUN
amq-160	55	41	coded	code	VERB
amq-160	55	42	by	by	ADP
amq-160	55	43	+1	+1	PROPN
amq-160	55	44	,	,	PUNCT
amq-160	55	45	and	and	CCONJ
amq-160	55	46	j1	j1	PROPN
amq-160	55	47	,	,	PUNCT
amq-160	55	48	j2	j2	PROPN
amq-160	55	49	,	,	PUNCT
amq-160	55	50	…	…	PUNCT
amq-160	55	51	,	,	PUNCT
amq-160	55	52	js	js	ADP
amq-160	55	53	the	the	DET
amq-160	55	54	s	s	NOUN
amq-160	55	55	parts	part	NOUN
amq-160	55	56	of	of	ADP
amq-160	55	57	the	the	DET
amq-160	55	58	subgroup	subgroup	NOUN
amq-160	55	59	(	(	PUNCT
amq-160	55	60	coded	code	VERB
amq-160	55	61	by	by	ADP
amq-160	55	62	-1	-1	PROPN
amq-160	55	63	)	)	PUNCT
amq-160	55	64	,	,	PUNCT
amq-160	55	65	a	a	DET
amq-160	55	66	balance	balance	NOUN
amq-160	55	67	is	be	AUX
amq-160	55	68	defined	define	VERB
amq-160	55	69	as	as	ADP
amq-160	55	70	:	:	PUNCT
amq-160	55	71	from	from	ADP
amq-160	55	72	a	a	DET
amq-160	55	73	d	d	NOUN
amq-160	55	74	part	part	NOUN
amq-160	55	75	composition	composition	NOUN
amq-160	55	76	,	,	PUNCT
amq-160	55	77	d-1	d-1	NOUN
amq-160	55	78	balances	balance	NOUN
amq-160	55	79	(	(	PUNCT
amq-160	55	80	ilrcoordinates	ilrcoordinate	NOUN
amq-160	55	81	)	)	PUNCT
amq-160	55	82	can	can	AUX
amq-160	55	83	be	be	AUX
amq-160	55	84	obtained	obtain	VERB
amq-160	55	85	.	.	PUNCT
amq-160	56	1	in	in	ADP
amq-160	56	2	our	our	PRON
amq-160	56	3	case	case	NOUN
amq-160	56	4	,	,	PUNCT
amq-160	56	5	for	for	ADP
amq-160	56	6	the	the	DET
amq-160	56	7	sake	sake	NOUN
amq-160	56	8	of	of	ADP
amq-160	56	9	simplicity	simplicity	NOUN
amq-160	56	10	,	,	PUNCT
amq-160	56	11	we	we	PRON
amq-160	56	12	adopted	adopt	VERB
amq-160	56	13	a	a	DET
amq-160	56	14	matrix	matrix	NOUN
amq-160	56	15	of	of	ADP
amq-160	56	16	the	the	DET
amq-160	56	17	type	type	NOUN
amq-160	56	18	:	:	PUNCT
amq-160	56	19	as	as	SCONJ
amq-160	56	20	explained	explain	VERB
amq-160	56	21	in	in	ADP
amq-160	56	22	di	di	NOUN
amq-160	56	23	donato	donato	NOUN
amq-160	56	24	et	et	PROPN
amq-160	56	25	al	al	PROPN
amq-160	56	26	.	.	PROPN
amq-160	57	1	(	(	PUNCT
amq-160	57	2	2018	2018	NUM
amq-160	57	3	)	)	PUNCT
amq-160	57	4	,	,	PUNCT
amq-160	57	5	two	two	NUM
amq-160	57	6	datasets	dataset	NOUN
amq-160	57	7	were	be	AUX
amq-160	57	8	generated	generate	VERB
amq-160	57	9	,	,	PUNCT
amq-160	57	10	consisting	consist	VERB
amq-160	57	11	of	of	ADP
amq-160	57	12	respectively	respectively	ADV
amq-160	57	13	19	19	NUM
amq-160	57	14	and	and	CCONJ
amq-160	57	15	15	15	NUM
amq-160	57	16	taxonomical	taxonomical	ADJ
amq-160	57	17	groups	group	NOUN
amq-160	57	18	(	(	PUNCT
amq-160	57	19	see	see	VERB
amq-160	57	20	appendix	appendix	NOUN
amq-160	57	21	2	2	NUM
amq-160	57	22	in	in	ADP
amq-160	57	23	di	di	NOUN
amq-160	57	24	donato	donato	NOUN
amq-160	57	25	et	et	PROPN
amq-160	57	26	al	al	PROPN
amq-160	57	27	.	.	PROPN
amq-160	57	28	,	,	PUNCT
amq-160	57	29	2018	2018	NUM
amq-160	57	30	)	)	PUNCT
amq-160	57	31	.	.	PUNCT
amq-160	58	1	order	order	NOUN
amq-160	59	1	x1	x1	NOUN
amq-160	60	1	x2	x2	PROPN
amq-160	60	2	x3	x3	VERB
amq-160	60	3	xd-1	xd-1	PUNCT
amq-160	61	1	xd	xd	INTJ
amq-160	61	2	1	1	NUM
amq-160	61	3	1	1	NUM
amq-160	61	4	-1	-1	NOUN
amq-160	61	5	-1	-1	NOUN
amq-160	61	6	…	…	PUNCT
amq-160	61	7	.	.	PUNCT
amq-160	62	1	-1	-1	PUNCT
amq-160	62	2	-1	-1	INTJ
amq-160	62	3	2	2	NUM
amq-160	62	4	0	0	NUM
amq-160	62	5	1	1	NUM
amq-160	62	6	-1	-1	NOUN
amq-160	62	7	…	…	PUNCT
amq-160	62	8	.	.	PUNCT
amq-160	63	1	-1	-1	PUNCT
amq-160	64	1	-1	-1	PUNCT
amq-160	64	2	3	3	NUM
amq-160	64	3	0	0	NUM
amq-160	64	4	0	0	NUM
amq-160	64	5	1	1	NUM
amq-160	64	6	…	…	PUNCT
amq-160	64	7	.	.	PUNCT
amq-160	65	1	-1	-1	PUNCT
amq-160	65	2	-1	-1	PUNCT
amq-160	65	3	…	…	PUNCT
amq-160	65	4	.	.	PUNCT
amq-160	66	1	…	…	PUNCT
amq-160	66	2	.	.	PUNCT
amq-160	67	1	…	…	PUNCT
amq-160	67	2	.	.	PUNCT
amq-160	68	1	…	…	PUNCT
amq-160	68	2	.	.	PUNCT
amq-160	69	1	…	…	PUNCT
amq-160	69	2	.	.	PUNCT
amq-160	70	1	…	…	PUNCT
amq-160	70	2	.	.	NUM
amq-160	70	3	…	…	PUNCT
amq-160	70	4	.	.	PUNCT
amq-160	71	1	d-1	d-1	NOUN
amq-160	71	2	0	0	NUM
amq-160	71	3	0	0	NUM
amq-160	71	4	0	0	NUM
amq-160	71	5	…	…	PUNCT
amq-160	71	6	.	.	PROPN
amq-160	71	7	1	1	NUM
amq-160	71	8	-1	-1	SYM
amq-160	71	9	2.3	2.3	NUM
amq-160	71	10	.	.	PUNCT
amq-160	72	1	multiple	multiple	ADJ
amq-160	72	2	regression	regression	NOUN
amq-160	72	3	methods	method	NOUN
amq-160	72	4	the	the	DET
amq-160	72	5	plsr	plsr	NOUN
amq-160	72	6	and	and	CCONJ
amq-160	72	7	pcr	pcr	ADJ
amq-160	72	8	methods	method	NOUN
amq-160	72	9	applied	apply	VERB
amq-160	72	10	to	to	PART
amq-160	72	11	perform	perform	VERB
amq-160	72	12	the	the	DET
amq-160	72	13	palaeo	palaeo	NOUN
amq-160	72	14	-	-	PUNCT
amq-160	72	15	estimates	estimate	NOUN
amq-160	72	16	are	be	AUX
amq-160	72	17	models	model	NOUN
amq-160	72	18	recommended	recommend	VERB
amq-160	72	19	to	to	PART
amq-160	72	20	predict	predict	VERB
amq-160	72	21	a	a	DET
amq-160	72	22	response	response	NOUN
amq-160	72	23	variable	variable	NOUN
amq-160	72	24	when	when	SCONJ
amq-160	72	25	there	there	PRON
amq-160	72	26	are	be	VERB
amq-160	72	27	a	a	DET
amq-160	72	28	large	large	ADJ
amq-160	72	29	number	number	NOUN
amq-160	72	30	of	of	ADP
amq-160	72	31	predictor	predictor	NOUN
amq-160	72	32	variables	variable	NOUN
amq-160	72	33	highly	highly	ADV
amq-160	72	34	correlated	correlate	VERB
amq-160	72	35	(	(	PUNCT
amq-160	72	36	ter	ter	NOUN
amq-160	72	37	braak	braak	PROPN
amq-160	72	38	&	&	CCONJ
amq-160	72	39	juggins	juggin	NOUN
amq-160	72	40	;	;	PUNCT
amq-160	72	41	1993	1993	NUM
amq-160	72	42	juggins	juggin	NOUN
amq-160	72	43	,	,	PUNCT
amq-160	72	44	2017	2017	NUM
amq-160	72	45	)	)	PUNCT
amq-160	72	46	.	.	PUNCT
amq-160	73	1	both	both	DET
amq-160	73	2	methods	method	NOUN
amq-160	73	3	construct	construct	VERB
amq-160	73	4	new	new	ADJ
amq-160	73	5	orthogonal	orthogonal	NOUN
amq-160	73	6	,	,	PUNCT
amq-160	73	7	hence	hence	ADV
amq-160	73	8	not	not	PART
amq-160	73	9	correlated	correlate	VERB
amq-160	73	10	,	,	PUNCT
amq-160	73	11	predictor	predictor	NOUN
amq-160	73	12	variables	variable	NOUN
amq-160	73	13	as	as	ADP
amq-160	73	14	linear	linear	ADJ
amq-160	73	15	combinations	combination	NOUN
amq-160	73	16	of	of	ADP
amq-160	73	17	the	the	DET
amq-160	73	18	original	original	ADJ
amq-160	73	19	predictor	predictor	NOUN
amq-160	73	20	variables	variable	NOUN
amq-160	73	21	.	.	PUNCT
amq-160	74	1	however	however	ADV
amq-160	74	2	,	,	PUNCT
amq-160	74	3	while	while	SCONJ
amq-160	74	4	pcr	pcr	NOUN
amq-160	74	5	creates	create	VERB
amq-160	74	6	components	component	NOUN
amq-160	74	7	to	to	PART
amq-160	74	8	maximise	maximise	VERB
amq-160	74	9	the	the	DET
amq-160	74	10	observed	observe	VERB
amq-160	74	11	variability	variability	NOUN
amq-160	74	12	in	in	ADP
amq-160	74	13	the	the	DET
amq-160	74	14	predictor	predictor	NOUN
amq-160	74	15	variables	variable	NOUN
amq-160	74	16	,	,	PUNCT
amq-160	74	17	without	without	ADP
amq-160	74	18	considering	consider	VERB
amq-160	74	19	the	the	DET
amq-160	74	20	response	response	NOUN
amq-160	74	21	variable	variable	NOUN
amq-160	74	22	at	at	ADV
amq-160	74	23	all	all	ADV
amq-160	74	24	,	,	PUNCT
amq-160	74	25	plsr	plsr	NOUN
amq-160	74	26	creates	create	VERB
amq-160	74	27	components	component	NOUN
amq-160	74	28	by	by	ADP
amq-160	74	29	maximising	maximise	VERB
amq-160	74	30	the	the	DET
amq-160	74	31	covariance	covariance	NOUN
amq-160	74	32	between	between	ADP
amq-160	74	33	predictors	predictor	NOUN
amq-160	74	34	and	and	CCONJ
amq-160	74	35	response	response	NOUN
amq-160	74	36	variables	variable	NOUN
amq-160	74	37	.	.	PUNCT
amq-160	75	1	for	for	ADP
amq-160	75	2	plsr	plsr	NOUN
amq-160	75	3	we	we	PRON
amq-160	75	4	adopted	adopt	VERB
amq-160	75	5	the	the	DET
amq-160	75	6	simpls	simpls	NOUN
amq-160	75	7	algorithm	algorithm	NOUN
amq-160	75	8	(	(	PUNCT
amq-160	75	9	de	de	X
amq-160	75	10	jong	jong	PROPN
amq-160	75	11	,	,	PUNCT
amq-160	75	12	1993	1993	NUM
amq-160	75	13	)	)	PUNCT
amq-160	75	14	.	.	PUNCT
amq-160	76	1	we	we	PRON
amq-160	76	2	also	also	ADV
amq-160	76	3	tested	test	VERB
amq-160	76	4	a	a	DET
amq-160	76	5	robust	robust	ADJ
amq-160	76	6	pcr	pcr	NOUN
amq-160	76	7	(	(	PUNCT
amq-160	76	8	rpcr	rpcr	ADJ
amq-160	76	9	)	)	PUNCT
amq-160	76	10	and	and	CCONJ
amq-160	76	11	robust	robust	ADJ
amq-160	76	12	pls	pls	INTJ
amq-160	76	13	(	(	PUNCT
amq-160	76	14	rsimpls	rsimpls	PROPN
amq-160	76	15	)	)	PUNCT
amq-160	76	16	(	(	PUNCT
amq-160	76	17	hubert	hubert	PROPN
amq-160	76	18	&	&	CCONJ
amq-160	76	19	branden	branden	PROPN
amq-160	76	20	,	,	PUNCT
amq-160	76	21	2003	2003	NUM
amq-160	76	22	)	)	PUNCT
amq-160	76	23	.	.	PUNCT
amq-160	77	1	in	in	ADP
amq-160	77	2	order	order	NOUN
amq-160	77	3	to	to	PART
amq-160	77	4	comply	comply	VERB
amq-160	77	5	with	with	ADP
amq-160	77	6	the	the	DET
amq-160	77	7	coda	coda	ADJ
amq-160	77	8	approach	approach	NOUN
amq-160	77	9	,	,	PUNCT
amq-160	77	10	both	both	DET
amq-160	77	11	analyses	analysis	NOUN
amq-160	77	12	should	should	AUX
amq-160	77	13	be	be	AUX
amq-160	77	14	computed	compute	VERB
amq-160	77	15	on	on	ADP
amq-160	77	16	ilr	ilr	PROPN
amq-160	77	17	coordinates	coordinate	NOUN
amq-160	77	18	.	.	PUNCT
amq-160	78	1	it	it	PRON
amq-160	78	2	can	can	AUX
amq-160	78	3	be	be	AUX
amq-160	78	4	noted	note	VERB
amq-160	78	5	,	,	PUNCT
amq-160	78	6	however	however	ADV
amq-160	78	7	,	,	PUNCT
amq-160	78	8	that	that	DET
amq-160	78	9	clrand	clrand	NOUN
amq-160	78	10	ilr	ilr	PROPN
amq-160	78	11	coordinates	coordinate	NOUN
amq-160	78	12	,	,	PUNCT
amq-160	78	13	provide	provide	VERB
amq-160	78	14	the	the	DET
amq-160	78	15	same	same	ADJ
amq-160	78	16	results	result	NOUN
amq-160	78	17	for	for	ADP
amq-160	78	18	both	both	CCONJ
amq-160	78	19	pcr	pcr	NOUN
amq-160	78	20	and	and	CCONJ
amq-160	78	21	plsr	plsr	PROPN
amq-160	78	22	(	(	PUNCT
amq-160	78	23	filzmoser	filzmoser	NOUN
amq-160	78	24	et	et	PROPN
amq-160	78	25	al	al	PROPN
amq-160	78	26	.	.	PROPN
amq-160	78	27	,	,	PUNCT
amq-160	78	28	2018	2018	NUM
amq-160	78	29	)	)	PUNCT
amq-160	78	30	.	.	PUNCT
amq-160	79	1	hereafter	hereafter	ADV
amq-160	79	2	we	we	PRON
amq-160	79	3	denoted	denote	VERB
amq-160	79	4	with	with	ADP
amq-160	79	5	coda	coda	NOUN
amq-160	79	6	-	-	PUNCT
amq-160	79	7	plsr	plsr	NOUN
amq-160	79	8	and	and	CCONJ
amq-160	79	9	coda	coda	NOUN
amq-160	79	10	-	-	PUNCT
amq-160	79	11	pcr	pcr	NOUN
amq-160	79	12	the	the	DET
amq-160	79	13	analysis	analysis	NOUN
amq-160	79	14	performed	perform	VERB
amq-160	79	15	on	on	ADP
amq-160	79	16	log	log	NOUN
amq-160	79	17	-	-	PUNCT
amq-160	79	18	ratio	ratio	NOUN
amq-160	79	19	coordinates	coordinate	NOUN
amq-160	79	20	.	.	PUNCT
amq-160	80	1	the	the	DET
amq-160	80	2	main	main	ADJ
amq-160	80	3	advantage	advantage	NOUN
amq-160	80	4	of	of	ADP
amq-160	80	5	clr	clr	NOUN
amq-160	80	6	-	-	PUNCT
amq-160	80	7	coordinates	coordinate	NOUN
amq-160	80	8	is	be	AUX
amq-160	80	9	that	that	SCONJ
amq-160	80	10	they	they	PRON
amq-160	80	11	are	be	AUX
amq-160	80	12	logcontrasts	logcontrast	NOUN
amq-160	80	13	more	more	ADV
amq-160	80	14	easily	easily	ADV
amq-160	80	15	interpretable	interpretable	ADJ
amq-160	80	16	.	.	PUNCT
amq-160	81	1	however	however	ADV
amq-160	81	2	,	,	PUNCT
amq-160	81	3	ilr	ilr	PROPN
amq-160	81	4	-	-	PUNCT
amq-160	81	5	coordinates	coordinate	NOUN
amq-160	81	6	are	be	AUX
amq-160	81	7	advantageous	advantageous	ADJ
amq-160	81	8	when	when	SCONJ
amq-160	81	9	the	the	DET
amq-160	81	10	analysis	analysis	NOUN
amq-160	81	11	requires	require	VERB
amq-160	81	12	full	full	ADJ
amq-160	81	13	rank	rank	NOUN
amq-160	81	14	data	datum	NOUN
amq-160	81	15	,	,	PUNCT
amq-160	81	16	such	such	ADJ
amq-160	81	17	as	as	ADP
amq-160	81	18	discriminant	discriminant	ADJ
amq-160	81	19	analysis	analysis	NOUN
amq-160	81	20	.	.	PUNCT
amq-160	82	1	in	in	ADP
amq-160	82	2	order	order	NOUN
amq-160	82	3	to	to	PART
amq-160	82	4	evaluate	evaluate	VERB
amq-160	82	5	the	the	DET
amq-160	82	6	number	number	NOUN
amq-160	82	7	of	of	ADP
amq-160	82	8	pls	pls	PROPN
amq-160	82	9	components	component	NOUN
amq-160	82	10	to	to	PART
amq-160	82	11	be	be	AUX
amq-160	82	12	taken	take	VERB
amq-160	82	13	into	into	ADP
amq-160	82	14	account	account	NOUN
amq-160	82	15	,	,	PUNCT
amq-160	82	16	we	we	PRON
amq-160	82	17	considered	consider	VERB
amq-160	82	18	,	,	PUNCT
amq-160	82	19	as	as	ADP
amq-160	82	20	usual	usual	ADJ
amq-160	82	21	,	,	PUNCT
amq-160	82	22	the	the	DET
amq-160	82	23	percent	percent	NOUN
amq-160	82	24	of	of	ADP
amq-160	82	25	variance	variance	NOUN
amq-160	82	26	explained	explain	VERB
amq-160	82	27	in	in	ADP
amq-160	82	28	the	the	DET
amq-160	82	29	response	response	NOUN
amq-160	82	30	variable	variable	NOUN
amq-160	82	31	and	and	CCONJ
amq-160	82	32	the	the	DET
amq-160	82	33	mean	mean	ADJ
amq-160	82	34	-	-	PUNCT
amq-160	82	35	squared	square	VERB
amq-160	82	36	errors	error	NOUN
amq-160	82	37	(	(	PUNCT
amq-160	82	38	see	see	VERB
amq-160	82	39	section	section	NOUN
amq-160	82	40	2.4	2.4	NUM
amq-160	82	41	)	)	PUNCT
amq-160	82	42	as	as	ADP
amq-160	82	43	a	a	DET
amq-160	82	44	function	function	NOUN
amq-160	82	45	of	of	ADP
amq-160	82	46	the	the	DET
amq-160	82	47	number	number	NOUN
amq-160	82	48	of	of	ADP
amq-160	82	49	components	component	NOUN
amq-160	82	50	.	.	PUNCT
amq-160	83	1	for	for	ADP
amq-160	83	2	coda	coda	NOUN
amq-160	83	3	-	-	PUNCT
amq-160	83	4	pcr	pcr	NOUN
amq-160	83	5	we	we	PRON
amq-160	83	6	considered	consider	VERB
amq-160	83	7	the	the	DET
amq-160	83	8	percent	percent	NOUN
amq-160	83	9	of	of	ADP
amq-160	83	10	total	total	ADJ
amq-160	83	11	variance	variance	NOUN
amq-160	83	12	of	of	ADP
amq-160	83	13	regressor	regressor	NOUN
amq-160	83	14	variables	variable	NOUN
amq-160	83	15	.	.	PUNCT
amq-160	84	1	the	the	DET
amq-160	84	2	relative	relative	ADJ
amq-160	84	3	variation	variation	NOUN
amq-160	84	4	biplot	biplot	NOUN
amq-160	84	5	(	(	PUNCT
amq-160	84	6	rvb	rvb	NOUN
amq-160	84	7	)	)	PUNCT
amq-160	84	8	of	of	ADP
amq-160	84	9	the	the	DET
amq-160	84	10	planktonic	planktonic	ADJ
amq-160	84	11	foraminifera	foraminifera	NOUN
amq-160	84	12	assemblages	assemblage	NOUN
amq-160	84	13	included	include	VERB
amq-160	84	14	in	in	ADP
amq-160	84	15	the	the	DET
amq-160	84	16	modern	modern	ADJ
amq-160	84	17	dataset	dataset	NOUN
amq-160	84	18	is	be	AUX
amq-160	84	19	shown	show	VERB
amq-160	84	20	in	in	ADP
amq-160	84	21	figure	figure	NOUN
amq-160	84	22	2	2	NUM
amq-160	84	23	.	.	PUNCT
amq-160	85	1	a	a	DET
amq-160	85	2	rvb	rvb	NOUN
amq-160	85	3	consists	consist	VERB
amq-160	85	4	of	of	ADP
amq-160	85	5	a	a	DET
amq-160	85	6	standfig	standfig	NOUN
amq-160	85	7	.	.	NOUN
amq-160	85	8	2	2	NUM
amq-160	85	9	relative	relative	ADJ
amq-160	85	10	variation	variation	NOUN
amq-160	85	11	biplot	biplot	NOUN
amq-160	85	12	(	(	PUNCT
amq-160	85	13	rvb	rvb	NOUN
amq-160	85	14	)	)	PUNCT
amq-160	85	15	of	of	ADP
amq-160	85	16	planktonic	planktonic	ADJ
amq-160	85	17	foraminiferal	foraminiferal	ADJ
amq-160	85	18	assemblages	assemblage	NOUN
amq-160	85	19	included	include	VERB
amq-160	85	20	in	in	ADP
amq-160	85	21	the	the	DET
amq-160	85	22	modern	modern	ADJ
amq-160	85	23	dataset	dataset	NOUN
amq-160	85	24	.	.	PUNCT
amq-160	86	1	row	row	NOUN
amq-160	86	2	points	point	NOUN
amq-160	86	3	are	be	AUX
amq-160	86	4	grouped	group	VERB
amq-160	86	5	according	accord	VERB
amq-160	86	6	to	to	ADP
amq-160	86	7	their	their	PRON
amq-160	86	8	latitude	latitude	NOUN
amq-160	86	9	.	.	PUNCT
amq-160	87	1	ard	ard	PROPN
amq-160	87	2	principal	principal	ADJ
amq-160	87	3	components	component	NOUN
amq-160	87	4	biplot	biplot	NOUN
amq-160	87	5	applied	apply	VERB
amq-160	87	6	to	to	ADP
amq-160	87	7	the	the	DET
amq-160	87	8	clr	clr	NOUN
amq-160	87	9	coordinates	coordinate	NOUN
amq-160	87	10	of	of	ADP
amq-160	87	11	the	the	DET
amq-160	87	12	assemblages	assemblage	NOUN
amq-160	87	13	.	.	PUNCT
amq-160	88	1	the	the	DET
amq-160	88	2	first	first	ADJ
amq-160	88	3	two	two	NUM
amq-160	88	4	axes	axis	NOUN
amq-160	88	5	accounts	account	VERB
amq-160	88	6	for	for	ADP
amq-160	88	7	about	about	ADV
amq-160	88	8	63	63	NUM
amq-160	88	9	%	%	NOUN
amq-160	88	10	of	of	ADP
amq-160	88	11	total	total	ADJ
amq-160	88	12	variability	variability	NOUN
amq-160	88	13	(	(	PUNCT
amq-160	88	14	a	a	DET
amq-160	88	15	total	total	NOUN
amq-160	88	16	of	of	ADP
amq-160	88	17	71	71	NUM
amq-160	88	18	%	%	NOUN
amq-160	88	19	is	be	AUX
amq-160	88	20	reached	reach	VERB
amq-160	88	21	if	if	SCONJ
amq-160	88	22	a	a	DET
amq-160	88	23	third	third	ADJ
amq-160	88	24	axis	axis	NOUN
amq-160	88	25	is	be	AUX
amq-160	88	26	added	add	VERB
amq-160	88	27	)	)	PUNCT
amq-160	88	28	.	.	PUNCT
amq-160	89	1	the	the	DET
amq-160	89	2	location	location	NOUN
amq-160	89	3	of	of	ADP
amq-160	89	4	the	the	DET
amq-160	89	5	data	data	NOUN
amq-160	89	6	points	point	NOUN
amq-160	89	7	in	in	ADP
amq-160	89	8	the	the	DET
amq-160	89	9	rvb	rvb	PROPN
amq-160	89	10	highlights	highlight	NOUN
amq-160	89	11	the	the	DET
amq-160	89	12	well	well	ADV
amq-160	89	13	-	-	PUNCT
amq-160	89	14	known	know	VERB
amq-160	89	15	broad	broad	ADJ
amq-160	89	16	latitudinal	latitudinal	ADJ
amq-160	89	17	distribution	distribution	NOUN
amq-160	89	18	of	of	ADP
amq-160	89	19	assemblages	assemblage	NOUN
amq-160	89	20	.	.	PUNCT
amq-160	90	1	it	it	PRON
amq-160	90	2	can	can	AUX
amq-160	90	3	be	be	AUX
amq-160	90	4	noted	note	VERB
amq-160	90	5	that	that	SCONJ
amq-160	90	6	the	the	DET
amq-160	90	7	origin	origin	NOUN
amq-160	90	8	of	of	ADP
amq-160	90	9	the	the	DET
amq-160	90	10	rvb	rvb	PROPN
amq-160	90	11	corresponds	correspond	VERB
amq-160	90	12	to	to	ADP
amq-160	90	13	a	a	DET
amq-160	90	14	low	low	ADJ
amq-160	90	15	-	-	PUNCT
amq-160	90	16	density	density	NOUN
amq-160	90	17	area	area	NOUN
amq-160	90	18	.	.	PUNCT
amq-160	91	1	moreover	moreover	ADV
amq-160	91	2	,	,	PUNCT
amq-160	91	3	the	the	DET
amq-160	91	4	distribution	distribution	NOUN
amq-160	91	5	of	of	ADP
amq-160	91	6	data	datum	NOUN
amq-160	91	7	points	point	NOUN
amq-160	91	8	in	in	ADP
amq-160	91	9	the	the	DET
amq-160	91	10	rvb	rvb	NOUN
amq-160	91	11	seems	seem	VERB
amq-160	91	12	to	to	PART
amq-160	91	13	indicate	indicate	VERB
amq-160	91	14	the	the	DET
amq-160	91	15	existence	existence	NOUN
amq-160	91	16	of	of	ADP
amq-160	91	17	two	two	NUM
amq-160	91	18	groups	group	NOUN
amq-160	91	19	within	within	ADP
amq-160	91	20	the	the	DET
amq-160	91	21	dataset	dataset	NOUN
amq-160	91	22	,	,	PUNCT
amq-160	91	23	the	the	DET
amq-160	91	24	first	first	ADJ
amq-160	91	25	of	of	ADP
amq-160	91	26	which	which	PRON
amq-160	91	27	is	be	AUX
amq-160	91	28	represented	represent	VERB
amq-160	91	29	by	by	ADP
amq-160	91	30	high	high	ADJ
amq-160	91	31	latitude	latitude	NOUN
amq-160	91	32	assemblages	assemblage	NOUN
amq-160	91	33	.	.	PUNCT
amq-160	92	1	principal	principal	ADJ
amq-160	92	2	components	component	NOUN
amq-160	92	3	analysis	analysis	NOUN
amq-160	92	4	(	(	PUNCT
amq-160	92	5	pca	pca	NOUN
amq-160	92	6	)	)	PUNCT
amq-160	92	7	is	be	AUX
amq-160	92	8	properly	properly	ADV
amq-160	92	9	defined	define	VERB
amq-160	92	10	for	for	ADP
amq-160	92	11	homogeneous	homogeneous	ADJ
amq-160	92	12	,	,	PUNCT
amq-160	92	13	normally	normally	ADV
amq-160	92	14	-	-	PUNCT
amq-160	92	15	distributed	distribute	VERB
amq-160	92	16	data	datum	NOUN
amq-160	92	17	from	from	ADP
amq-160	92	18	a	a	DET
amq-160	92	19	single	single	ADJ
amq-160	92	20	population	population	NOUN
amq-160	92	21	(	(	PUNCT
amq-160	92	22	tolosana	tolosana	NOUN
amq-160	92	23	-	-	PUNCT
amq-160	92	24	delgado	delgado	PROPN
amq-160	92	25	&	&	CCONJ
amq-160	92	26	mc	mc	PROPN
amq-160	92	27	kinley	kinley	PROPN
amq-160	92	28	,	,	PUNCT
amq-160	92	29	2016	2016	NUM
amq-160	92	30	)	)	PUNCT
amq-160	92	31	.	.	PUNCT
amq-160	93	1	thus	thus	ADV
amq-160	93	2	,	,	PUNCT
amq-160	93	3	we	we	PRON
amq-160	93	4	considered	consider	VERB
amq-160	93	5	evaluating	evaluate	VERB
amq-160	93	6	,	,	PUNCT
amq-160	93	7	apart	apart	ADV
amq-160	93	8	from	from	ADP
amq-160	93	9	a	a	DET
amq-160	93	10	regression	regression	NOUN
amq-160	93	11	model	model	NOUN
amq-160	93	12	built	build	VERB
amq-160	93	13	with	with	ADP
amq-160	93	14	the	the	DET
amq-160	93	15	whole	whole	ADJ
amq-160	93	16	dataset	dataset	NOUN
amq-160	93	17	,	,	PUNCT
amq-160	93	18	two	two	NUM
amq-160	93	19	separate	separate	ADJ
amq-160	93	20	models	model	NOUN
amq-160	93	21	for	for	ADP
amq-160	93	22	high	high	ADJ
amq-160	93	23	latitude	latitude	NOUN
amq-160	93	24	and	and	CCONJ
amq-160	93	25	low	low	ADJ
amq-160	93	26	to	to	ADP
amq-160	93	27	middle	middle	ADJ
amq-160	93	28	latitude	latitude	NOUN
amq-160	93	29	assemblages	assemblage	NOUN
amq-160	93	30	.	.	PUNCT
amq-160	94	1	separate	separate	ADJ
amq-160	94	2	regional	regional	ADJ
amq-160	94	3	models	model	NOUN
amq-160	94	4	were	be	AUX
amq-160	94	5	considered	consider	VERB
amq-160	94	6	,	,	PUNCT
amq-160	94	7	among	among	ADP
amq-160	94	8	others	other	NOUN
amq-160	94	9	,	,	PUNCT
amq-160	94	10	in	in	ADP
amq-160	94	11	prell	prell	PROPN
amq-160	94	12	(	(	PUNCT
amq-160	94	13	1995	1995	NUM
amq-160	94	14	)	)	PUNCT
amq-160	94	15	,	,	PUNCT
amq-160	94	16	ortiz	ortiz	PROPN
amq-160	94	17	&	&	CCONJ
amq-160	94	18	miz	miz	PROPN
amq-160	94	19	(	(	PUNCT
amq-160	94	20	1997	1997	NUM
amq-160	94	21	)	)	PUNCT
amq-160	94	22	and	and	CCONJ
amq-160	94	23	kucera	kucera	NOUN
amq-160	94	24	et	et	PROPN
amq-160	94	25	al	al	PROPN
amq-160	94	26	.	.	PROPN
amq-160	95	1	(	(	PUNCT
amq-160	95	2	2005	2005	NUM
amq-160	95	3	)	)	PUNCT
amq-160	95	4	.	.	PUNCT
amq-160	96	1	for	for	ADP
amq-160	96	2	our	our	PRON
amq-160	96	3	purposes	purpose	NOUN
amq-160	96	4	,	,	PUNCT
amq-160	96	5	a	a	DET
amq-160	96	6	cluster	cluster	NOUN
amq-160	96	7	analysis	analysis	NOUN
amq-160	96	8	(	(	PUNCT
amq-160	96	9	ward	ward	NOUN
amq-160	96	10	’s	’s	PART
amq-160	96	11	method	method	NOUN
amq-160	96	12	on	on	ADP
amq-160	96	13	ilr	ilr	PROPN
amq-160	96	14	-	-	PUNCT
amq-160	96	15	coordinates	coordinate	NOUN
amq-160	96	16	)	)	PUNCT
amq-160	96	17	was	be	AUX
amq-160	96	18	applied	apply	VERB
amq-160	96	19	to	to	ADP
amq-160	96	20	the	the	DET
amq-160	96	21	dataset	dataset	NOUN
amq-160	96	22	,	,	PUNCT
amq-160	96	23	discarding	discard	VERB
amq-160	96	24	then	then	ADV
amq-160	96	25	some	some	DET
amq-160	96	26	observations	observation	NOUN
amq-160	96	27	that	that	PRON
amq-160	96	28	did	do	AUX
amq-160	96	29	not	not	PART
amq-160	96	30	belong	belong	VERB
amq-160	96	31	to	to	ADP
amq-160	96	32	either	either	PRON
amq-160	96	33	of	of	ADP
amq-160	96	34	the	the	DET
amq-160	96	35	two	two	NUM
amq-160	96	36	main	main	ADJ
amq-160	96	37	defined	define	VERB
amq-160	96	38	groups	group	NOUN
amq-160	96	39	.	.	PUNCT
amq-160	97	1	a	a	DET
amq-160	97	2	manova	manova	PROPN
amq-160	97	3	test	test	NOUN
amq-160	97	4	indicates	indicate	VERB
amq-160	97	5	that	that	SCONJ
amq-160	97	6	the	the	DET
amq-160	97	7	two	two	NUM
amq-160	97	8	groups	group	NOUN
amq-160	97	9	are	be	AUX
amq-160	97	10	significantly	significantly	ADV
amq-160	97	11	distinct	distinct	ADJ
amq-160	97	12	(	(	PUNCT
amq-160	97	13	with	with	ADP
amq-160	97	14	p~0	p~0	NOUN
amq-160	97	15	)	)	PUNCT
amq-160	97	16	.	.	PUNCT
amq-160	98	1	since	since	SCONJ
amq-160	98	2	at	at	ADP
amq-160	98	3	high	high	ADJ
amq-160	98	4	latitude	latitude	NOUN
amq-160	98	5	only	only	ADV
amq-160	98	6	few	few	ADJ
amq-160	98	7	planktonic	planktonic	ADJ
amq-160	98	8	foraminifera	foraminifera	NOUN
amq-160	98	9	species	specie	NOUN
amq-160	98	10	occur	occur	VERB
amq-160	98	11	,	,	PUNCT
amq-160	98	12	the	the	DET
amq-160	98	13	regression	regression	NOUN
amq-160	98	14	models	model	NOUN
amq-160	98	15	for	for	ADP
amq-160	98	16	the	the	DET
amq-160	98	17	high	high	ADJ
amq-160	98	18	latitude	latitude	NOUN
amq-160	98	19	group	group	NOUN
amq-160	98	20	was	be	AUX
amq-160	98	21	built	build	VERB
amq-160	98	22	by	by	ADP
amq-160	98	23	considering	consider	VERB
amq-160	98	24	a	a	DET
amq-160	98	25	sub	sub	NOUN
amq-160	98	26	-	-	NOUN
amq-160	98	27	composition	composition	NOUN
amq-160	98	28	of	of	ADP
amq-160	98	29	the	the	DET
amq-160	98	30	dataset	dataset	NOUN
amq-160	98	31	made	make	VERB
amq-160	98	32	of	of	ADP
amq-160	98	33	only	only	ADV
amq-160	98	34	5	5	NUM
amq-160	98	35	species	specie	NOUN
amq-160	98	36	.	.	PUNCT
amq-160	99	1	the	the	DET
amq-160	99	2	application	application	NOUN
amq-160	99	3	of	of	ADP
amq-160	99	4	this	this	DET
amq-160	99	5	two	two	NUM
amq-160	99	6	-	-	PUNCT
amq-160	99	7	step	step	NOUN
amq-160	99	8	procedure	procedure	NOUN
amq-160	99	9	to	to	ADP
amq-160	99	10	fossil	fossil	NOUN
amq-160	99	11	assemblages	assemblage	NOUN
amq-160	99	12	requires	require	VERB
amq-160	99	13	to	to	PART
amq-160	99	14	first	first	ADV
amq-160	99	15	perform	perform	VERB
amq-160	99	16	a	a	DET
amq-160	99	17	linear	linear	ADJ
amq-160	99	18	discriminant	discriminant	ADJ
amq-160	99	19	analysis	analysis	NOUN
amq-160	99	20	(	(	PUNCT
amq-160	99	21	lda	lda	PROPN
amq-160	99	22	)	)	PUNCT
amq-160	99	23	in	in	ADP
amq-160	99	24	order	order	NOUN
amq-160	99	25	to	to	PART
amq-160	99	26	classify	classify	VERB
amq-160	99	27	them	they	PRON
amq-160	99	28	into	into	ADP
amq-160	99	29	one	one	NUM
amq-160	99	30	of	of	ADP
amq-160	99	31	the	the	DET
amq-160	99	32	2	2	NUM
amq-160	99	33	defined	define	VERB
amq-160	99	34	groups	group	NOUN
amq-160	99	35	.	.	PUNCT
amq-160	100	1	apart	apart	ADV
amq-160	100	2	from	from	ADP
amq-160	100	3	theoretical	theoretical	ADJ
amq-160	100	4	considerations	consideration	NOUN
amq-160	100	5	,	,	PUNCT
amq-160	100	6	the	the	DET
amq-160	100	7	application	application	NOUN
amq-160	100	8	of	of	ADP
amq-160	100	9	lda	lda	PROPN
amq-160	100	10	to	to	PART
amq-160	100	11	percentage	percentage	NOUN
amq-160	100	12	data	datum	NOUN
amq-160	100	13	faces	face	VERB
amq-160	100	14	problems	problem	NOUN
amq-160	100	15	related	relate	VERB
amq-160	100	16	to	to	ADP
amq-160	100	17	the	the	DET
amq-160	100	18	singularity	singularity	NOUN
amq-160	100	19	of	of	ADP
amq-160	100	20	the	the	DET
amq-160	100	21	within	within	ADP
amq-160	100	22	groups	group	NOUN
amq-160	100	23	variance	variance	NOUN
amq-160	100	24	/	/	SYM
amq-160	100	25	covariance	covariance	NOUN
amq-160	100	26	matrix	matrix	NOUN
amq-160	100	27	.	.	PUNCT
amq-160	101	1	this	this	DET
amq-160	101	2	problem	problem	NOUN
amq-160	101	3	also	also	ADV
amq-160	101	4	occurs	occur	VERB
amq-160	101	5	with	with	ADP
amq-160	101	6	clr	clr	NOUN
amq-160	101	7	-	-	PUNCT
amq-160	101	8	coordinates	coordinate	NOUN
amq-160	101	9	,	,	PUNCT
amq-160	101	10	while	while	SCONJ
amq-160	101	11	ilr	ilr	NOUN
amq-160	101	12	-	-	PUNCT
amq-160	101	13	coordinates	coordinate	NOUN
amq-160	101	14	are	be	AUX
amq-160	101	15	not	not	PART
amq-160	101	16	affected	affect	VERB
amq-160	101	17	by	by	ADP
amq-160	101	18	this	this	DET
amq-160	101	19	problem	problem	NOUN
amq-160	101	20	.	.	PUNCT
amq-160	102	1	the	the	DET
amq-160	102	2	lda	lda	PROPN
amq-160	102	3	misclassification	misclassification	NOUN
amq-160	102	4	rate	rate	NOUN
amq-160	102	5	provided	provide	VERB
amq-160	102	6	a	a	DET
amq-160	102	7	leave	leave	VERB
amq-160	102	8	-	-	PUNCT
amq-160	102	9	one	one	NUM
amq-160	102	10	-	-	PUNCT
amq-160	102	11	out	out	ADP
amq-160	102	12	cross	cross	NOUN
amq-160	102	13	validation	validation	NOUN
amq-160	102	14	method	method	NOUN
amq-160	102	15	for	for	ADP
amq-160	102	16	the	the	DET
amq-160	102	17	two	two	NUM
amq-160	102	18	groups	group	NOUN
amq-160	102	19	defined	define	VERB
amq-160	102	20	in	in	ADP
amq-160	102	21	the	the	DET
amq-160	102	22	modern	modern	ADJ
amq-160	102	23	dataset	dataset	NOUN
amq-160	102	24	is	be	AUX
amq-160	102	25	0.0085	0.0085	NUM
amq-160	102	26	.	.	PUNCT
amq-160	102	27	2.4	2.4	NUM
amq-160	102	28	.	.	PUNCT
amq-160	103	1	evaluation	evaluation	NOUN
amq-160	103	2	of	of	ADP
amq-160	103	3	the	the	DET
amq-160	103	4	quality	quality	NOUN
amq-160	103	5	of	of	ADP
amq-160	103	6	the	the	DET
amq-160	103	7	estimates	estimate	NOUN
amq-160	103	8	the	the	DET
amq-160	103	9	evaluation	evaluation	NOUN
amq-160	103	10	of	of	ADP
amq-160	103	11	the	the	DET
amq-160	103	12	quality	quality	NOUN
amq-160	103	13	of	of	ADP
amq-160	103	14	the	the	DET
amq-160	103	15	estimated	estimate	VERB
amq-160	103	16	results	result	NOUN
amq-160	103	17	provided	provide	VERB
amq-160	103	18	by	by	ADP
amq-160	103	19	coda	coda	NOUN
amq-160	103	20	-	-	PUNCT
amq-160	103	21	pcr	pcr	ADJ
amq-160	103	22	and	and	CCONJ
amq-160	103	23	coda	coda	NOUN
amq-160	103	24	-	-	PUNCT
amq-160	103	25	plsr	plsr	NOUN
amq-160	103	26	techniques	technique	NOUN
amq-160	103	27	has	have	AUX
amq-160	103	28	been	be	AUX
amq-160	103	29	carried	carry	VERB
amq-160	103	30	out	out	ADP
amq-160	103	31	by	by	ADP
amq-160	103	32	means	mean	NOUN
amq-160	103	33	of	of	ADP
amq-160	103	34	sensitivity	sensitivity	NOUN
amq-160	103	35	analysis	analysis	NOUN
amq-160	103	36	of	of	ADP
amq-160	103	37	leave	leave	VERB
amq-160	103	38	-	-	PUNCT
amq-160	103	39	one	one	NUM
amq-160	103	40	-	-	PUNCT
amq-160	103	41	out	out	ADP
amq-160	103	42	cross	cross	NOUN
amq-160	103	43	validation	validation	NOUN
amq-160	103	44	method	method	NOUN
amq-160	103	45	(	(	PUNCT
amq-160	103	46	ter	ter	NOUN
amq-160	103	47	braak	braak	PROPN
amq-160	103	48	&	&	CCONJ
amq-160	103	49	juggins	juggin	NOUN
amq-160	103	50	,	,	PUNCT
amq-160	103	51	1993	1993	NUM
amq-160	103	52	;	;	PUNCT
amq-160	103	53	barrows	barrow	NOUN
amq-160	103	54	&	&	CCONJ
amq-160	103	55	juggins	juggin	NOUN
amq-160	103	56	,	,	PUNCT
amq-160	103	57	2005	2005	NUM
amq-160	103	58	)	)	PUNCT
amq-160	103	59	.	.	PUNCT
amq-160	104	1	the	the	DET
amq-160	104	2	indices	index	NOUN
amq-160	104	3	we	we	PRON
amq-160	104	4	took	take	VERB
amq-160	104	5	into	into	ADP
amq-160	104	6	account	account	NOUN
amq-160	104	7	were	be	AUX
amq-160	104	8	:	:	PUNCT
amq-160	104	9	the	the	DET
amq-160	104	10	coefficient	coefficient	NOUN
amq-160	104	11	of	of	ADP
amq-160	104	12	determination	determination	NOUN
amq-160	104	13	r2	r2	PROPN
amq-160	104	14	and	and	CCONJ
amq-160	104	15	the	the	DET
amq-160	104	16	mean	mean	ADJ
amq-160	104	17	square	square	ADJ
amq-160	104	18	error	error	NOUN
amq-160	104	19	of	of	ADP
amq-160	104	20	prediction	prediction	NOUN
amq-160	104	21	(	(	PUNCT
amq-160	104	22	msep	msep	PROPN
amq-160	104	23	)	)	PUNCT
amq-160	104	24	(	(	PUNCT
amq-160	104	25	with	with	ADP
amq-160	104	26	its	its	PRON
amq-160	104	27	square	square	ADJ
amq-160	104	28	root	root	NOUN
amq-160	104	29	,	,	PUNCT
amq-160	104	30	the	the	DET
amq-160	104	31	rmsep	rmsep	NOUN
amq-160	104	32	)	)	PUNCT
amq-160	104	33	(	(	PUNCT
amq-160	104	34	wallach	wallach	PROPN
amq-160	104	35	&	&	CCONJ
amq-160	104	36	goffmet	goffmet	PROPN
amq-160	104	37	,	,	PUNCT
amq-160	104	38	1989	1989	NUM
amq-160	104	39	;	;	PUNCT
amq-160	104	40	birks	birk	NOUN
amq-160	104	41	,	,	PUNCT
amq-160	104	42	1995	1995	NUM
amq-160	104	43	)	)	PUNCT
amq-160	104	44	and	and	CCONJ
amq-160	104	45	as	as	ADP
amq-160	104	46	multivariate	multivariate	NOUN
amq-160	104	47	counterpart	counterpart	NOUN
amq-160	104	48	,	,	PUNCT
amq-160	104	49	the	the	DET
amq-160	104	50	root	root	NOUN
amq-160	104	51	of	of	ADP
amq-160	104	52	mean	mean	ADJ
amq-160	104	53	squared	square	VERB
amq-160	104	54	distances	distance	NOUN
amq-160	104	55	(	(	PUNCT
amq-160	104	56	rmsd	rmsd	NOUN
amq-160	104	57	)	)	PUNCT
amq-160	104	58	(	(	PUNCT
amq-160	104	59	e.g.	e.g.	ADV
amq-160	104	60	,	,	PUNCT
amq-160	104	61	martín	martín	NOUN
amq-160	104	62	-	-	PUNCT
amq-160	104	63	fernández	fernández	PROPN
amq-160	104	64	et	et	PROPN
amq-160	104	65	al	al	PROPN
amq-160	104	66	.	.	PROPN
amq-160	104	67	,	,	PUNCT
amq-160	104	68	2003	2003	NUM
amq-160	104	69	)	)	PUNCT
amq-160	104	70	.	.	PUNCT
amq-160	105	1	the	the	DET
amq-160	105	2	msd	msd	NOUN
amq-160	105	3	is	be	AUX
amq-160	105	4	a	a	DET
amq-160	105	5	multivariate	multivariate	NOUN
amq-160	105	6	index	index	NOUN
amq-160	105	7	of	of	ADP
amq-160	105	8	quality	quality	NOUN
amq-160	105	9	of	of	ADP
amq-160	105	10	the	the	DET
amq-160	105	11	estimates	estimate	NOUN
amq-160	105	12	of	of	ADP
amq-160	105	13	k	k	PROPN
amq-160	105	14	environmental	environmental	ADJ
amq-160	105	15	parameters	parameter	NOUN
amq-160	105	16	defined	define	VERB
amq-160	105	17	as	as	ADP
amq-160	105	18	:	:	PUNCT
amq-160	105	19	where	where	SCONJ
amq-160	105	20	n	n	PRON
amq-160	105	21	is	be	AUX
amq-160	105	22	the	the	DET
amq-160	105	23	number	number	NOUN
amq-160	105	24	of	of	ADP
amq-160	105	25	modern	modern	ADJ
amq-160	105	26	samples	sample	NOUN
amq-160	105	27	,	,	PUNCT
amq-160	105	28	represents	represent	VERB
amq-160	105	29	the	the	DET
amq-160	105	30	vector	vector	NOUN
amq-160	105	31	of	of	ADP
amq-160	105	32	k	k	PROPN
amq-160	105	33	measured	measure	VERB
amq-160	105	34	environmenal	environmenal	ADJ
amq-160	105	35	parameters	parameter	NOUN
amq-160	105	36	,	,	PUNCT
amq-160	105	37	and	and	CCONJ
amq-160	105	38	the	the	DET
amq-160	105	39	corresponding	correspond	VERB
amq-160	105	40	vector	vector	NOUN
amq-160	105	41	of	of	ADP
amq-160	105	42	estimated	estimate	VERB
amq-160	105	43	values	value	NOUN
amq-160	105	44	.	.	PUNCT
amq-160	106	1	this	this	DET
amq-160	106	2	approach	approach	NOUN
amq-160	106	3	is	be	AUX
amq-160	106	4	equivalent	equivalent	ADJ
amq-160	106	5	to	to	PART
amq-160	106	6	analyse	analyse	VERB
amq-160	106	7	the	the	DET
amq-160	106	8	mean	mean	NOUN
amq-160	106	9	of	of	ADP
amq-160	106	10	the	the	DET
amq-160	106	11	norm	norm	NOUN
amq-160	106	12	of	of	ADP
amq-160	106	13	the	the	DET
amq-160	106	14	residual	residual	ADJ
amq-160	106	15	rows	row	NOUN
amq-160	106	16	(	(	PUNCT
amq-160	106	17	difference	difference	NOUN
amq-160	106	18	between	between	ADP
amq-160	106	19	measured	measured	ADJ
amq-160	106	20	and	and	CCONJ
amq-160	106	21	estimated	estimated	ADJ
amq-160	106	22	parameters	parameter	NOUN
amq-160	106	23	)	)	PUNCT
amq-160	106	24	.	.	PUNCT
amq-160	107	1	the	the	DET
amq-160	107	2	best	good	ADJ
amq-160	107	3	result	result	NOUN
amq-160	107	4	of	of	ADP
amq-160	107	5	rmsd	rmsd	NOUN
amq-160	107	6	is	be	AUX
amq-160	107	7	obtained	obtain	VERB
amq-160	107	8	when	when	SCONJ
amq-160	107	9	rmsd=0	rmsd=0	PROPN
amq-160	107	10	,	,	PUNCT
amq-160	107	11	i.e	i.e	PROPN
amq-160	107	12	,	,	PUNCT
amq-160	107	13	all	all	DET
amq-160	107	14	the	the	DET
amq-160	107	15	estimates	estimate	NOUN
amq-160	107	16	are	be	AUX
amq-160	107	17	equal	equal	ADJ
amq-160	107	18	to	to	ADP
amq-160	107	19	the	the	DET
amq-160	107	20	measured	measured	ADJ
amq-160	107	21	values	value	NOUN
amq-160	107	22	.	.	PUNCT
amq-160	108	1	the	the	DET
amq-160	108	2	multivariate	multivariate	NOUN
amq-160	108	3	approach	approach	NOUN
amq-160	108	4	may	may	AUX
amq-160	108	5	be	be	AUX
amq-160	108	6	applied	apply	VERB
amq-160	108	7	when	when	SCONJ
amq-160	108	8	different	different	ADJ
amq-160	108	9	paleoclimatic	paleoclimatic	ADJ
amq-160	108	10	parameters	parameter	NOUN
amq-160	108	11	are	be	AUX
amq-160	108	12	estimated	estimate	VERB
amq-160	108	13	(	(	PUNCT
amq-160	108	14	i.e.	i.e.	X
amq-160	108	15	temperature	temperature	NOUN
amq-160	108	16	,	,	PUNCT
amq-160	108	17	seasonal	seasonal	ADJ
amq-160	108	18	or	or	CCONJ
amq-160	108	19	annual	annual	ADJ
amq-160	108	20	precipitation	precipitation	NOUN
amq-160	108	21	,	,	PUNCT
amq-160	108	22	potential	potential	ADJ
amq-160	108	23	evapo	evapo	ADJ
amq-160	108	24	-	-	PUNCT
amq-160	108	25	transpiration	transpiration	NOUN
amq-160	108	26	,	,	PUNCT
amq-160	108	27	as	as	SCONJ
amq-160	108	28	done	do	VERB
amq-160	108	29	in	in	ADP
amq-160	108	30	pollen	pollen	NOUN
amq-160	108	31	analysis	analysis	NOUN
amq-160	108	32	)	)	PUNCT
amq-160	108	33	.	.	PUNCT
amq-160	109	1	for	for	ADP
amq-160	109	2	the	the	DET
amq-160	109	3	evaluation	evaluation	NOUN
amq-160	109	4	of	of	ADP
amq-160	109	5	the	the	DET
amq-160	109	6	results	result	NOUN
amq-160	109	7	obtained	obtain	VERB
amq-160	109	8	from	from	ADP
amq-160	109	9	grouped	group	VERB
amq-160	109	10	assemblages	assemblage	NOUN
amq-160	109	11	,	,	PUNCT
amq-160	109	12	we	we	PRON
amq-160	109	13	considered	consider	VERB
amq-160	109	14	both	both	CCONJ
amq-160	109	15	a	a	DET
amq-160	109	16	“	"	PUNCT
amq-160	109	17	pooled	pool	VERB
amq-160	109	18	”	"	PUNCT
amq-160	109	19	r2	r2	NOUN
amq-160	109	20	,	,	PUNCT
amq-160	109	21	i.e.	i.e.	X
amq-160	109	22	for	for	ADP
amq-160	109	23	2	2	NUM
amq-160	109	24	groups	group	NOUN
amq-160	109	25	,	,	PUNCT
amq-160	109	26	r2=(ssr	r2=(ssr	PROPN
amq-160	109	27	gr1+ssr	gr1+ssr	PUNCT
amq-160	109	28	gr2)/(sst	gr2)/(sst	PUNCT
amq-160	109	29	gr1+sst	gr1+sst	NOUN
amq-160	109	30	gr2	gr2	NOUN
amq-160	109	31	)	)	PUNCT
amq-160	109	32	,	,	PUNCT
amq-160	109	33	together	together	ADV
amq-160	109	34	with	with	ADP
amq-160	109	35	the	the	DET
amq-160	109	36	squared	square	VERB
amq-160	109	37	correlation	correlation	NOUN
amq-160	109	38	coefficient	coefficient	NOUN
amq-160	109	39	r2	r2	PROPN
amq-160	109	40	obtained	obtain	VERB
amq-160	109	41	by	by	ADP
amq-160	109	42	comparing	compare	VERB
amq-160	109	43	the	the	DET
amq-160	109	44	overall	overall	ADJ
amq-160	109	45	(	(	PUNCT
amq-160	109	46	both	both	DET
amq-160	109	47	groups	group	NOUN
amq-160	109	48	)	)	PUNCT
amq-160	109	49	measured	measure	VERB
amq-160	109	50	and	and	CCONJ
amq-160	109	51	fitted	fit	VERB
amq-160	109	52	sst	sst	NOUN
amq-160	109	53	values	value	NOUN
amq-160	109	54	.	.	PUNCT
amq-160	110	1	squared	square	VERB
amq-160	110	2	correlation	correlation	NOUN
amq-160	110	3	coefficients	coefficient	NOUN
amq-160	110	4	are	be	AUX
amq-160	110	5	reported	report	VERB
amq-160	110	6	in	in	ADP
amq-160	110	7	the	the	DET
amq-160	110	8	supplementary	supplementary	ADJ
amq-160	110	9	materials	material	NOUN
amq-160	110	10	.	.	PUNCT
amq-160	111	1	2.5	2.5	NUM
amq-160	111	2	.	.	PUNCT
amq-160	111	3	application	application	NOUN
amq-160	111	4	on	on	ADP
amq-160	111	5	fossil	fossil	NOUN
amq-160	111	6	assemblages	assemblage	NOUN
amq-160	111	7	probably	probably	ADV
amq-160	111	8	the	the	DET
amq-160	111	9	most	most	ADV
amq-160	111	10	important	important	ADJ
amq-160	111	11	difficulty	difficulty	NOUN
amq-160	111	12	of	of	ADP
amq-160	111	13	any	any	DET
amq-160	111	14	proxybased	proxybase	VERB
amq-160	111	15	reconstruction	reconstruction	NOUN
amq-160	111	16	is	be	AUX
amq-160	111	17	represented	represent	VERB
amq-160	111	18	by	by	ADP
amq-160	111	19	the	the	DET
amq-160	111	20	no	no	DET
amq-160	111	21	-	-	PUNCT
amq-160	111	22	analogue	analogue	NOUN
amq-160	111	23	problem	problem	NOUN
amq-160	111	24	,	,	PUNCT
amq-160	111	25	occurring	occur	VERB
amq-160	111	26	when	when	SCONJ
amq-160	111	27	the	the	DET
amq-160	111	28	palaeoenvironmental	palaeoenvironmental	ADJ
amq-160	111	29	conditions	condition	NOUN
amq-160	111	30	represented	represent	VERB
amq-160	111	31	in	in	ADP
amq-160	111	32	the	the	DET
amq-160	111	33	fossil	fossil	NOUN
amq-160	111	34	assemblages	assemblage	NOUN
amq-160	111	35	do	do	AUX
amq-160	111	36	not	not	PART
amq-160	111	37	have	have	VERB
amq-160	111	38	a	a	DET
amq-160	111	39	correspondence	correspondence	NOUN
amq-160	111	40	in	in	ADP
amq-160	111	41	modern	modern	ADJ
amq-160	111	42	environments	environment	NOUN
amq-160	111	43	(	(	PUNCT
amq-160	111	44	hutson	hutson	NOUN
amq-160	111	45	,	,	PUNCT
amq-160	111	46	1977	1977	NUM
amq-160	111	47	)	)	PUNCT
amq-160	111	48	.	.	PUNCT
amq-160	112	1	it	it	PRON
amq-160	112	2	can	can	AUX
amq-160	112	3	be	be	AUX
amq-160	112	4	considered	consider	VERB
amq-160	112	5	that	that	SCONJ
amq-160	112	6	the	the	DET
amq-160	112	7	application	application	NOUN
amq-160	112	8	of	of	ADP
amq-160	112	9	regression	regression	NOUN
amq-160	112	10	methods	method	NOUN
amq-160	112	11	to	to	ADP
amq-160	112	12	no	no	DET
amq-160	112	13	-	-	PUNCT
amq-160	112	14	analogue	analogue	NOUN
amq-160	112	15	samples	sample	NOUN
amq-160	112	16	,	,	PUNCT
amq-160	112	17	may	may	AUX
amq-160	112	18	be	be	AUX
amq-160	112	19	regarded	regard	VERB
amq-160	112	20	as	as	ADP
amq-160	112	21	extrapolation	extrapolation	NOUN
amq-160	112	22	rather	rather	ADV
amq-160	112	23	than	than	ADP
amq-160	112	24	interpolation	interpolation	NOUN
amq-160	112	25	(	(	PUNCT
amq-160	112	26	conn	conn	PROPN
amq-160	112	27	et	et	PROPN
amq-160	112	28	al	al	PROPN
amq-160	112	29	.	.	PROPN
amq-160	112	30	,	,	PUNCT
amq-160	112	31	2015	2015	NUM
amq-160	112	32	)	)	PUNCT
amq-160	112	33	.	.	PUNCT
amq-160	113	1	in	in	ADP
amq-160	113	2	di	di	PROPN
amq-160	113	3	donato	donato	PROPN
amq-160	113	4	et	et	PROPN
amq-160	113	5	al	al	PROPN
amq-160	113	6	.	.	PROPN
amq-160	114	1	(	(	PUNCT
amq-160	114	2	2018	2018	NUM
amq-160	114	3	)	)	PUNCT
amq-160	114	4	,	,	PUNCT
amq-160	114	5	we	we	PRON
amq-160	114	6	adopted	adopt	VERB
amq-160	114	7	atypicality	atypicality	NOUN
amq-160	114	8	index	index	NOUN
amq-160	114	9	(	(	PUNCT
amq-160	114	10	e.g.	e.g.	ADV
amq-160	114	11	,	,	PUNCT
amq-160	114	12	aitchison	aitchison	PROPN
amq-160	114	13	,	,	PUNCT
amq-160	114	14	1986	1986	NUM
amq-160	114	15	)	)	PUNCT
amq-160	114	16	,	,	PUNCT
amq-160	114	17	both	both	PRON
amq-160	114	18	standard	standard	ADJ
amq-160	114	19	and	and	CCONJ
amq-160	114	20	robust	robust	ADJ
amq-160	114	21	,	,	PUNCT
amq-160	114	22	and	and	CCONJ
amq-160	114	23	local	local	ADJ
amq-160	114	24	outlier	outlier	NOUN
amq-160	114	25	factor	factor	NOUN
amq-160	114	26	(	(	PUNCT
amq-160	114	27	lof	lof	PROPN
amq-160	114	28	)	)	PUNCT
amq-160	114	29	(	(	PUNCT
amq-160	114	30	breunig	breunig	NOUN
amq-160	114	31	et	et	PROPN
amq-160	114	32	al	al	PROPN
amq-160	114	33	.	.	PROPN
amq-160	114	34	,	,	PUNCT
amq-160	114	35	2000	2000	NUM
amq-160	114	36	)	)	PUNCT
amq-160	114	37	of	of	ADP
amq-160	114	38	assemblages	assemblage	NOUN
amq-160	114	39	as	as	ADP
amq-160	114	40	tools	tool	NOUN
amq-160	114	41	to	to	PART
amq-160	114	42	detect	detect	VERB
amq-160	114	43	noanalogue	noanalogue	NOUN
amq-160	114	44	conditions	condition	NOUN
amq-160	114	45	.	.	PUNCT
amq-160	115	1	details	detail	NOUN
amq-160	115	2	on	on	ADP
amq-160	115	3	the	the	DET
amq-160	115	4	computation	computation	NOUN
amq-160	115	5	of	of	ADP
amq-160	115	6	atypicality	atypicality	NOUN
amq-160	115	7	index	index	NOUN
amq-160	115	8	and	and	CCONJ
amq-160	115	9	robust	robust	ADJ
amq-160	115	10	methods	method	NOUN
amq-160	115	11	to	to	PART
amq-160	115	12	outlier	outlier	NOUN
amq-160	115	13	detection	detection	NOUN
amq-160	115	14	(	(	PUNCT
amq-160	115	15	peña	peña	PROPN
amq-160	115	16	&	&	CCONJ
amq-160	115	17	prieto	prieto	PROPN
amq-160	115	18	,	,	PUNCT
amq-160	115	19	2001	2001	NUM
amq-160	115	20	)	)	PUNCT
amq-160	115	21	for	for	ADP
amq-160	115	22	coda	coda	ADJ
amq-160	115	23	sets	set	NOUN
amq-160	115	24	(	(	PUNCT
amq-160	115	25	filzmoser	filzmoser	NOUN
amq-160	115	26	&	&	CCONJ
amq-160	115	27	hron	hron	PROPN
amq-160	115	28	,	,	PUNCT
amq-160	115	29	2008	2008	NUM
amq-160	115	30	)	)	PUNCT
amq-160	115	31	are	be	AUX
amq-160	115	32	reported	report	VERB
amq-160	115	33	in	in	ADP
amq-160	115	34	di	di	PROPN
amq-160	115	35	donato	donato	NOUN
amq-160	115	36	et	et	PROPN
amq-160	115	37	al	al	PROPN
amq-160	115	38	.	.	PROPN
amq-160	115	39	,	,	PUNCT
amq-160	115	40	2018	2018	NUM
amq-160	115	41	.	.	PUNCT
amq-160	116	1	3	3	X
amq-160	116	2	.	.	X
amq-160	116	3	testing	test	VERB
amq-160	116	4	the	the	DET
amq-160	116	5	method	method	NOUN
amq-160	116	6	3.1	3.1	NUM
amq-160	116	7	.	.	PUNCT
amq-160	116	8	results	result	VERB
amq-160	116	9	the	the	DET
amq-160	116	10	number	number	NOUN
amq-160	116	11	of	of	ADP
amq-160	116	12	components	component	NOUN
amq-160	116	13	from	from	ADP
amq-160	116	14	which	which	PRON
amq-160	116	15	compute	compute	NOUN
amq-160	116	16	the	the	DET
amq-160	116	17	pls	pls	NOUN
amq-160	116	18	was	be	AUX
amq-160	116	19	determined	determine	VERB
amq-160	116	20	by	by	ADP
amq-160	116	21	considering	consider	VERB
amq-160	116	22	the	the	DET
amq-160	116	23	percent	percent	NOUN
amq-160	116	24	variance	variance	NOUN
amq-160	116	25	explained	explain	VERB
amq-160	116	26	for	for	ADP
amq-160	116	27	the	the	DET
amq-160	116	28	response	response	NOUN
amq-160	116	29	variables	variable	NOUN
amq-160	116	30	and	and	CCONJ
amq-160	116	31	the	the	DET
amq-160	116	32	mse	mse	NOUN
amq-160	116	33	of	of	ADP
amq-160	116	34	response	response	NOUN
amq-160	116	35	variable	variable	ADJ
amq-160	116	36	as	as	ADP
amq-160	116	37	functions	function	NOUN
amq-160	116	38	of	of	ADP
amq-160	116	39	the	the	DET
amq-160	116	40	number	number	NOUN
amq-160	116	41	of	of	ADP
amq-160	116	42	pls	pls	PROPN
amq-160	116	43	components	component	NOUN
amq-160	116	44	(	(	PUNCT
amq-160	116	45	fig	fig	NOUN
amq-160	116	46	.	.	PUNCT
amq-160	117	1	3	3	NUM
amq-160	117	2	)	)	PUNCT
amq-160	117	3	and	and	CCONJ
amq-160	117	4	,	,	PUNCT
amq-160	117	5	for	for	ADP
amq-160	117	6	coda	coda	NOUN
amq-160	117	7	-	-	PUNCT
amq-160	117	8	pcr	pcr	NOUN
amq-160	117	9	,	,	PUNCT
amq-160	117	10	the	the	DET
amq-160	117	11	amount	amount	NOUN
amq-160	117	12	of	of	ADP
amq-160	117	13	total	total	ADJ
amq-160	117	14	variance	variance	NOUN
amq-160	117	15	of	of	ADP
amq-160	117	16	regressor	regressor	NOUN
amq-160	117	17	variables	variable	NOUN
amq-160	117	18	accounted	account	VERB
amq-160	117	19	by	by	ADP
amq-160	117	20	the	the	DET
amq-160	117	21	principal	principal	ADJ
amq-160	117	22	components	component	NOUN
amq-160	117	23	(	(	PUNCT
amq-160	117	24	fig	fig	NOUN
amq-160	117	25	.	.	PUNCT
amq-160	117	26	4	4	NUM
amq-160	117	27	)	)	PUNCT
amq-160	117	28	.	.	PUNCT
amq-160	118	1	for	for	ADP
amq-160	118	2	both	both	CCONJ
amq-160	118	3	the	the	DET
amq-160	118	4	tested	test	VERB
amq-160	118	5	datasets	dataset	NOUN
amq-160	118	6	,	,	PUNCT
amq-160	118	7	4	4	NUM
amq-160	118	8	components	component	NOUN
amq-160	118	9	seem	seem	VERB
amq-160	118	10	to	to	PART
amq-160	118	11	provide	provide	VERB
amq-160	118	12	an	an	DET
amq-160	118	13	adequate	adequate	ADJ
amq-160	118	14	coda	coda	NOUN
amq-160	118	15	-	-	PUNCT
amq-160	118	16	plsr	plsr	NOUN
amq-160	118	17	model	model	NOUN
amq-160	118	18	.	.	PUNCT
amq-160	119	1	for	for	ADP
amq-160	119	2	coda	coda	NOUN
amq-160	119	3	-	-	PUNCT
amq-160	119	4	pcr	pcr	NOUN
amq-160	119	5	,	,	PUNCT
amq-160	119	6	we	we	PRON
amq-160	119	7	adopted	adopt	VERB
amq-160	119	8	a	a	DET
amq-160	119	9	6	6	NUM
amq-160	119	10	components	component	NOUN
amq-160	119	11	model	model	NOUN
amq-160	119	12	.	.	PUNCT
amq-160	120	1	as	as	SCONJ
amq-160	120	2	regards	regard	VERB
amq-160	120	3	the	the	DET
amq-160	120	4	two	two	NUM
amq-160	120	5	-	-	PUNCT
amq-160	120	6	groups	group	NOUN
amq-160	120	7	approach	approach	NOUN
amq-160	120	8	,	,	PUNCT
amq-160	120	9	the	the	DET
amq-160	120	10	subcomposition	subcomposition	NOUN
amq-160	120	11	obtained	obtain	VERB
amq-160	120	12	for	for	ADP
amq-160	120	13	high	high	ADJ
amq-160	120	14	latitude	latitude	NOUN
amq-160	120	15	assemblages	assemblage	NOUN
amq-160	120	16	is	be	AUX
amq-160	120	17	made	make	VERB
amq-160	120	18	of	of	ADP
amq-160	120	19	only	only	ADV
amq-160	120	20	6	6	NUM
amq-160	120	21	parts	part	NOUN
amq-160	120	22	.	.	PUNCT
amq-160	121	1	in	in	ADP
amq-160	121	2	the	the	DET
amq-160	121	3	other	other	ADJ
amq-160	121	4	group	group	NOUN
amq-160	121	5	,	,	PUNCT
amq-160	121	6	for	for	ADP
amq-160	121	7	both	both	CCONJ
amq-160	121	8	coda	coda	NOUN
amq-160	121	9	-	-	PUNCT
amq-160	121	10	plsr	plsr	NOUN
amq-160	121	11	and	and	CCONJ
amq-160	121	12	coda	coda	NOUN
amq-160	121	13	-	-	PUNCT
amq-160	121	14	pcr	pcr	NOUN
amq-160	121	15	,	,	PUNCT
amq-160	121	16	we	we	PRON
amq-160	121	17	considered	consider	VERB
amq-160	121	18	a	a	DET
amq-160	121	19	full	full	ADJ
amq-160	121	20	-	-	PUNCT
amq-160	121	21	components	component	NOUN
amq-160	121	22	model	model	NOUN
amq-160	121	23	.	.	PUNCT
amq-160	122	1	we	we	PRON
amq-160	122	2	tested	test	VERB
amq-160	122	3	both	both	DET
amq-160	122	4	annual	annual	ADJ
amq-160	122	5	sst	sst	NOUN
amq-160	122	6	and	and	CCONJ
amq-160	122	7	seasonal	seasonal	ADJ
amq-160	122	8	sst	sst	NOUN
amq-160	122	9	.	.	PUNCT
amq-160	123	1	the	the	DET
amq-160	123	2	relationships	relationship	NOUN
amq-160	123	3	between	between	ADP
amq-160	123	4	measured	measured	ADJ
amq-160	123	5	and	and	CCONJ
amq-160	123	6	estimated	estimate	VERB
amq-160	123	7	seasonal	seasonal	ADJ
amq-160	123	8	sst	sst	NOUN
amq-160	123	9	obtained	obtain	VERB
amq-160	123	10	with	with	ADP
amq-160	123	11	pcr	pcr	NOUN
amq-160	123	12	and	and	CCONJ
amq-160	123	13	plsr	plsr	NOUN
amq-160	123	14	under	under	ADP
amq-160	123	15	different	different	ADJ
amq-160	123	16	conditions	condition	NOUN
amq-160	123	17	are	be	AUX
amq-160	123	18	reported	report	VERB
amq-160	123	19	in	in	ADP
amq-160	123	20	the	the	DET
amq-160	123	21	supplementary	supplementary	ADJ
amq-160	123	22	materials	material	NOUN
amq-160	123	23	.	.	PUNCT
amq-160	124	1	in	in	ADP
amq-160	124	2	general	general	ADJ
amq-160	124	3	,	,	PUNCT
amq-160	124	4	the	the	DET
amq-160	124	5	15	15	NUM
amq-160	124	6	taxa	taxa	NOUN
amq-160	124	7	and	and	CCONJ
amq-160	124	8	19	19	NUM
amq-160	124	9	taxa	taxa	NOUN
amq-160	124	10	datasets	dataset	NOUN
amq-160	124	11	provided	provide	VERB
amq-160	124	12	quite	quite	ADV
amq-160	124	13	similar	similar	ADJ
amq-160	124	14	results	result	NOUN
amq-160	124	15	.	.	PUNCT
amq-160	125	1	it	it	PRON
amq-160	125	2	can	can	AUX
amq-160	125	3	be	be	AUX
amq-160	125	4	noted	note	VERB
amq-160	125	5	,	,	PUNCT
amq-160	125	6	that	that	SCONJ
amq-160	125	7	,	,	PUNCT
amq-160	125	8	for	for	ADP
amq-160	125	9	both	both	CCONJ
amq-160	125	10	coda	coda	NOUN
amq-160	125	11	-	-	PUNCT
amq-160	125	12	pcr	pcr	ADJ
amq-160	125	13	and	and	CCONJ
amq-160	125	14	coda	coda	NOUN
amq-160	125	15	-	-	PUNCT
amq-160	125	16	plsr	plsr	NOUN
amq-160	125	17	,	,	PUNCT
amq-160	125	18	higher	high	ADJ
amq-160	125	19	squared	square	VERB
amq-160	125	20	correlation	correlation	NOUN
amq-160	125	21	coefficients	coefficient	NOUN
amq-160	125	22	and	and	CCONJ
amq-160	125	23	lower	low	ADJ
amq-160	125	24	rmsep	rmsep	NOUN
amq-160	125	25	are	be	AUX
amq-160	125	26	obtained	obtain	VERB
amq-160	125	27	with	with	ADP
amq-160	125	28	a	a	DET
amq-160	125	29	two	two	NUM
amq-160	125	30	-	-	PUNCT
amq-160	125	31	groups	group	NOUN
amq-160	125	32	analysis	analysis	NOUN
amq-160	125	33	.	.	PUNCT
amq-160	126	1	the	the	DET
amq-160	126	2	highest	high	ADJ
amq-160	126	3	r2	r2	NOUN
amq-160	126	4	of	of	ADP
amq-160	126	5	0.9718	0.9718	NUM
amq-160	126	6	,	,	PUNCT
amq-160	126	7	with	with	ADP
amq-160	126	8	a	a	DET
amq-160	126	9	rmse	rmse	NOUN
amq-160	126	10	of	of	ADP
amq-160	126	11	1.33	1.33	NUM
amq-160	126	12	°	°	NOUN
amq-160	126	13	c	c	NOUN
amq-160	126	14	was	be	AUX
amq-160	126	15	obtained	obtain	VERB
amq-160	126	16	for	for	ADP
amq-160	126	17	mean	mean	ADJ
amq-160	126	18	annual	annual	ADJ
amq-160	126	19	sst	sst	NOUN
amq-160	126	20	with	with	ADP
amq-160	126	21	coda	coda	NOUN
amq-160	126	22	-	-	PUNCT
amq-160	126	23	plsr	plsr	NOUN
amq-160	126	24	.	.	PUNCT
amq-160	127	1	figure	figure	NOUN
amq-160	127	2	5	5	NUM
amq-160	127	3	shows	show	VERB
amq-160	127	4	the	the	DET
amq-160	127	5	relationship	relationship	NOUN
amq-160	127	6	between	between	ADP
amq-160	127	7	measured	measured	ADJ
amq-160	127	8	and	and	CCONJ
amq-160	127	9	cross	cross	ADJ
amq-160	127	10	-	-	ADJ
amq-160	127	11	validation	validation	NOUN
amq-160	127	12	-	-	PUNCT
amq-160	127	13	estimated	estimate	VERB
amq-160	127	14	sst	sst	NOUN
amq-160	127	15	for	for	ADP
amq-160	127	16	34	34	NUM
amq-160	127	17	di	di	NOUN
amq-160	127	18	donato	donato	PROPN
amq-160	127	19	v.	v.	ADP
amq-160	127	20	et	et	PROPN
amq-160	127	21	al	al	PROPN
amq-160	127	22	.	.	PUNCT
amq-160	128	1	a	a	DET
amq-160	128	2	1	1	NUM
amq-160	128	3	group	group	NOUN
amq-160	128	4	and	and	CCONJ
amq-160	128	5	for	for	ADP
amq-160	128	6	2	2	NUM
amq-160	128	7	-	-	PUNCT
amq-160	128	8	groups	group	NOUN
amq-160	128	9	analysis	analysis	NOUN
amq-160	128	10	.	.	PUNCT
amq-160	129	1	it	it	PRON
amq-160	129	2	can	can	AUX
amq-160	129	3	be	be	AUX
amq-160	129	4	noted	note	VERB
amq-160	129	5	that	that	SCONJ
amq-160	129	6	,	,	PUNCT
amq-160	129	7	the	the	DET
amq-160	129	8	1	1	NUM
amq-160	129	9	-	-	PUNCT
amq-160	129	10	group	group	NOUN
amq-160	129	11	model	model	NOUN
amq-160	129	12	,	,	PUNCT
amq-160	129	13	a	a	DET
amq-160	129	14	“	"	PUNCT
amq-160	129	15	plateau	plateau	NOUN
amq-160	129	16	”	"	PUNCT
amq-160	129	17	for	for	ADP
amq-160	129	18	low	low	ADJ
amq-160	129	19	sst	sst	NOUN
amq-160	129	20	,	,	PUNCT
amq-160	129	21	which	which	PRON
amq-160	129	22	can	can	AUX
amq-160	129	23	be	be	AUX
amq-160	129	24	also	also	ADV
amq-160	129	25	observed	observe	VERB
amq-160	129	26	,	,	PUNCT
amq-160	129	27	in	in	ADP
amq-160	129	28	the	the	DET
amq-160	129	29	imbrie	imbrie	PROPN
amq-160	129	30	&	&	CCONJ
amq-160	129	31	kipp	kipp	PROPN
amq-160	129	32	(	(	PUNCT
amq-160	129	33	1971	1971	NUM
amq-160	129	34	)	)	PUNCT
amq-160	129	35	method	method	NOUN
amq-160	129	36	and	and	CCONJ
amq-160	129	37	coda	coda	NOUN
amq-160	129	38	-	-	PUNCT
amq-160	129	39	mat	mat	NOUN
amq-160	129	40	validation	validation	NOUN
amq-160	129	41	,	,	PUNCT
amq-160	129	42	and	and	CCONJ
amq-160	129	43	which	which	PRON
amq-160	129	44	becomes	become	VERB
amq-160	129	45	much	much	ADV
amq-160	129	46	less	less	ADV
amq-160	129	47	pronounced	pronounce	VERB
amq-160	129	48	,	,	PUNCT
amq-160	129	49	with	with	ADP
amq-160	129	50	a	a	DET
amq-160	129	51	2	2	NUM
amq-160	129	52	-	-	PUNCT
amq-160	129	53	groups	group	NOUN
amq-160	129	54	modelling	modelling	NOUN
amq-160	129	55	.	.	PUNCT
amq-160	130	1	for	for	ADP
amq-160	130	2	a	a	DET
amq-160	130	3	single	single	ADJ
amq-160	130	4	group	group	NOUN
amq-160	130	5	analysis	analysis	NOUN
amq-160	130	6	,	,	PUNCT
amq-160	130	7	plsr	plsr	NOUN
amq-160	130	8	performs	perform	VERB
amq-160	130	9	better	well	ADJ
amq-160	130	10	than	than	ADP
amq-160	130	11	pcr	pcr	PROPN
amq-160	130	12	.	.	PUNCT
amq-160	131	1	however	however	ADV
amq-160	131	2	,	,	PUNCT
amq-160	131	3	for	for	ADP
amq-160	131	4	a	a	DET
amq-160	131	5	2	2	NUM
amq-160	131	6	groups	group	NOUN
amq-160	131	7	analysis	analysis	NOUN
amq-160	131	8	,	,	PUNCT
amq-160	131	9	plsr	plsr	PROPN
amq-160	131	10	and	and	CCONJ
amq-160	131	11	pcr	pcr	PROPN
amq-160	131	12	provided	provide	VERB
amq-160	131	13	quite	quite	ADV
amq-160	131	14	similar	similar	ADJ
amq-160	131	15	results	result	NOUN
amq-160	131	16	.	.	PUNCT
amq-160	132	1	robust	robust	ADJ
amq-160	132	2	version	version	NOUN
amq-160	132	3	of	of	ADP
amq-160	132	4	coda	coda	NOUN
amq-160	132	5	-	-	PUNCT
amq-160	132	6	plsr	plsr	NOUN
amq-160	132	7	and	and	CCONJ
amq-160	132	8	coda	coda	NOUN
amq-160	132	9	-	-	PUNCT
amq-160	132	10	pcr	pcr	NOUN
amq-160	132	11	did	do	AUX
amq-160	132	12	not	not	PART
amq-160	132	13	improve	improve	VERB
amq-160	132	14	the	the	DET
amq-160	132	15	fitting	fitting	NOUN
amq-160	132	16	with	with	ADP
amq-160	132	17	respect	respect	NOUN
amq-160	132	18	to	to	ADP
amq-160	132	19	standard	standard	ADJ
amq-160	132	20	coda	coda	NOUN
amq-160	132	21	-	-	PUNCT
amq-160	132	22	plsr	plsr	NOUN
amq-160	132	23	and	and	CCONJ
amq-160	132	24	coda	coda	NOUN
amq-160	132	25	-	-	PUNCT
amq-160	132	26	pcr	pcr	NOUN
amq-160	132	27	.	.	PUNCT
amq-160	133	1	in	in	ADP
amq-160	133	2	comparison	comparison	NOUN
amq-160	133	3	with	with	ADP
amq-160	133	4	the	the	DET
amq-160	133	5	coda	coda	NOUN
amq-160	133	6	-	-	PUNCT
amq-160	133	7	mat	mat	NOUN
amq-160	133	8	method	method	NOUN
amq-160	133	9	,	,	PUNCT
amq-160	133	10	coda	coda	NOUN
amq-160	133	11	-	-	PUNCT
amq-160	133	12	plsr	plsr	NOUN
amq-160	133	13	and	and	CCONJ
amq-160	133	14	coda	coda	NOUN
amq-160	133	15	-	-	PUNCT
amq-160	133	16	pcr	pcr	NOUN
amq-160	133	17	provides	provide	VERB
amq-160	133	18	slightly	slightly	ADV
amq-160	133	19	lower	low	ADJ
amq-160	133	20	r2	r2	NOUN
amq-160	133	21	and	and	CCONJ
amq-160	133	22	higher	high	ADJ
amq-160	133	23	rmsep	rmsep	NOUN
amq-160	133	24	.	.	PUNCT
amq-160	134	1	a	a	DET
amq-160	134	2	slightly	slightly	ADV
amq-160	134	3	better	well	ADJ
amq-160	134	4	performance	performance	NOUN
amq-160	134	5	of	of	ADP
amq-160	134	6	mat	mat	NOUN
amq-160	134	7	with	with	ADP
amq-160	134	8	respect	respect	NOUN
amq-160	134	9	to	to	ADP
amq-160	134	10	a	a	DET
amq-160	134	11	regression	regression	NOUN
amq-160	134	12	method	method	NOUN
amq-160	134	13	(	(	PUNCT
amq-160	134	14	i.e.	i.e.	X
amq-160	134	15	the	the	DET
amq-160	134	16	imbrie	imbrie	PROPN
amq-160	134	17	&	&	CCONJ
amq-160	134	18	kipp	kipp	PROPN
amq-160	134	19	transfer	transfer	NOUN
amq-160	134	20	function	function	NOUN
amq-160	134	21	)	)	PUNCT
amq-160	134	22	was	be	AUX
amq-160	134	23	also	also	ADV
amq-160	134	24	found	find	VERB
amq-160	134	25	by	by	ADP
amq-160	134	26	ortiz	ortiz	PROPN
amq-160	134	27	&	&	CCONJ
amq-160	134	28	mix	mix	PROPN
amq-160	134	29	(	(	PUNCT
amq-160	134	30	1997	1997	NUM
amq-160	134	31	)	)	PUNCT
amq-160	134	32	by	by	ADP
amq-160	134	33	working	work	VERB
amq-160	134	34	on	on	ADP
amq-160	134	35	raw	raw	ADJ
amq-160	134	36	percentage	percentage	NOUN
amq-160	134	37	data	datum	NOUN
amq-160	134	38	.	.	PUNCT
amq-160	135	1	as	as	ADV
amq-160	135	2	far	far	ADV
amq-160	135	3	as	as	ADP
amq-160	135	4	the	the	DET
amq-160	135	5	comparison	comparison	NOUN
amq-160	135	6	with	with	ADP
amq-160	135	7	raw	raw	ADJ
amq-160	135	8	data	datum	NOUN
amq-160	135	9	regression	regression	NOUN
amq-160	135	10	-	-	PUNCT
amq-160	135	11	based	base	VERB
amq-160	135	12	methods	method	NOUN
amq-160	135	13	,	,	PUNCT
amq-160	135	14	on	on	ADP
amq-160	135	15	our	our	PRON
amq-160	135	16	dataset	dataset	NOUN
amq-160	135	17	,	,	PUNCT
amq-160	135	18	the	the	DET
amq-160	135	19	imbrie	imbrie	PROPN
amq-160	135	20	&	&	CCONJ
amq-160	135	21	kipp	kipp	PROPN
amq-160	135	22	(	(	PUNCT
amq-160	135	23	1971	1971	NUM
amq-160	135	24	)	)	PUNCT
amq-160	135	25	q	q	ADJ
amq-160	135	26	-	-	PUNCT
amq-160	135	27	mode	mode	NOUN
amq-160	135	28	regression	regression	NOUN
amq-160	135	29	method	method	NOUN
amq-160	135	30	yields	yield	NOUN
amq-160	135	31	,	,	PUNCT
amq-160	135	32	with	with	ADP
amq-160	135	33	5	5	NUM
amq-160	135	34	components	component	NOUN
amq-160	135	35	an	an	DET
amq-160	135	36	r2=0.8956	r2=0.8956	PROPN
amq-160	135	37	and	and	CCONJ
amq-160	135	38	an	an	DET
amq-160	135	39	rmse=2.47	rmse=2.47	NOUN
amq-160	135	40	°	°	NOUN
amq-160	135	41	c	c	NOUN
amq-160	135	42	.	.	PUNCT
amq-160	136	1	the	the	DET
amq-160	136	2	weighted	weight	VERB
amq-160	136	3	averaged	average	VERB
amq-160	136	4	partial	partial	ADJ
amq-160	136	5	least	least	ADV
amq-160	136	6	35	35	NUM
amq-160	136	7	fig	fig	NOUN
amq-160	136	8	.	.	PUNCT
amq-160	137	1	3	3	NUM
amq-160	138	1	the	the	DET
amq-160	138	2	figure	figure	NOUN
amq-160	138	3	shows	show	VERB
amq-160	138	4	for	for	ADP
amq-160	138	5	the	the	DET
amq-160	138	6	15	15	NUM
amq-160	138	7	taxonomic	taxonomic	ADJ
amq-160	138	8	groups	group	NOUN
amq-160	138	9	dataset	dataset	NOUN
amq-160	138	10	plots	plot	NOUN
amq-160	138	11	(	(	PUNCT
amq-160	138	12	from	from	ADP
amq-160	138	13	which	which	PRON
amq-160	138	14	14	14	NUM
amq-160	138	15	predictors	predictor	NOUN
amq-160	138	16	represented	represent	VERB
amq-160	138	17	by	by	ADP
amq-160	138	18	ilr	ilr	PROPN
amq-160	138	19	-	-	PUNCT
amq-160	138	20	variables	variable	NOUN
amq-160	138	21	are	be	AUX
amq-160	138	22	obtained	obtain	VERB
amq-160	138	23	)	)	PUNCT
amq-160	138	24	of	of	ADP
amq-160	138	25	a	a	X
amq-160	138	26	)	)	PUNCT
amq-160	138	27	the	the	DET
amq-160	138	28	percent	percent	NOUN
amq-160	138	29	variance	variance	NOUN
amq-160	138	30	explained	explain	VERB
amq-160	138	31	for	for	ADP
amq-160	138	32	a	a	DET
amq-160	138	33	single	single	ADJ
amq-160	138	34	response	response	NOUN
amq-160	138	35	variable	variable	NOUN
amq-160	138	36	(	(	PUNCT
amq-160	138	37	annual	annual	ADJ
amq-160	138	38	sst	sst	NOUN
amq-160	138	39	)	)	PUNCT
amq-160	138	40	and	and	CCONJ
amq-160	138	41	b	b	X
amq-160	138	42	)	)	PUNCT
amq-160	138	43	the	the	DET
amq-160	138	44	mse	mse	NOUN
amq-160	138	45	of	of	ADP
amq-160	138	46	response	response	NOUN
amq-160	138	47	variable	variable	ADJ
amq-160	138	48	as	as	ADP
amq-160	138	49	functions	function	NOUN
amq-160	138	50	of	of	ADP
amq-160	138	51	the	the	DET
amq-160	138	52	number	number	NOUN
amq-160	138	53	of	of	ADP
amq-160	138	54	pls	pls	PROPN
amq-160	138	55	components	component	NOUN
amq-160	138	56	.	.	PUNCT
amq-160	139	1	fig	fig	NOUN
amq-160	139	2	.	.	PUNCT
amq-160	140	1	4	4	NUM
amq-160	140	2	plot	plot	NOUN
amq-160	140	3	of	of	ADP
amq-160	140	4	cumulative	cumulative	ADJ
amq-160	140	5	percentage	percentage	NOUN
amq-160	140	6	accounted	account	VERB
amq-160	140	7	(	(	PUNCT
amq-160	140	8	blue	blue	ADJ
amq-160	140	9	line	line	NOUN
amq-160	140	10	)	)	PUNCT
amq-160	140	11	and	and	CCONJ
amq-160	140	12	variance	variance	NOUN
amq-160	140	13	contribution	contribution	NOUN
amq-160	140	14	of	of	ADP
amq-160	140	15	each	each	DET
amq-160	140	16	component	component	NOUN
amq-160	140	17	(	(	PUNCT
amq-160	140	18	red	red	ADJ
amq-160	140	19	line	line	NOUN
amq-160	140	20	)	)	PUNCT
amq-160	140	21	in	in	ADP
amq-160	140	22	codapcr	codapcr	ADJ
amq-160	140	23	.	.	PUNCT
amq-160	141	1	fig.5	fig.5	NOUN
amq-160	141	2	plots	plot	NOUN
amq-160	141	3	of	of	ADP
amq-160	141	4	observed	observe	VERB
amq-160	141	5	versus	versus	ADP
amq-160	141	6	estimated	estimate	VERB
amq-160	141	7	sst	sst	NOUN
amq-160	141	8	(	(	PUNCT
amq-160	141	9	annual	annual	ADJ
amq-160	141	10	and	and	CCONJ
amq-160	141	11	seasonal	seasonal	ADJ
amq-160	141	12	)	)	PUNCT
amq-160	141	13	obtained	obtain	VERB
amq-160	141	14	with	with	ADP
amq-160	141	15	a	a	DET
amq-160	141	16	1	1	NUM
amq-160	141	17	-	-	PUNCT
amq-160	141	18	group	group	NOUN
amq-160	141	19	(	(	PUNCT
amq-160	141	20	left	left	ADJ
amq-160	141	21	)	)	PUNCT
amq-160	141	22	and	and	CCONJ
amq-160	141	23	a	a	DET
amq-160	141	24	2	2	NUM
amq-160	141	25	-	-	PUNCT
amq-160	141	26	groups	group	NOUN
amq-160	141	27	coda	coda	NOUN
amq-160	141	28	-	-	PUNCT
amq-160	141	29	plsr	plsr	NOUN
amq-160	141	30	modelling	modelling	NOUN
amq-160	141	31	.	.	PUNCT
amq-160	142	1	coda	coda	ADJ
amq-160	142	2	regression	regression	NOUN
amq-160	142	3	-	-	PUNCT
amq-160	142	4	based	base	VERB
amq-160	142	5	sst	sst	NOUN
amq-160	142	6	reconstruction	reconstruction	NOUN
amq-160	142	7	squares	square	NOUN
amq-160	142	8	method	method	NOUN
amq-160	142	9	(	(	PUNCT
amq-160	142	10	wapls	wapls	NOUN
amq-160	142	11	)	)	PUNCT
amq-160	142	12	(	(	PUNCT
amq-160	142	13	ter	ter	NOUN
amq-160	142	14	braak	braak	PROPN
amq-160	142	15	&	&	CCONJ
amq-160	142	16	juggins	juggin	NOUN
amq-160	142	17	,	,	PUNCT
amq-160	142	18	1993	1993	NUM
amq-160	142	19	)	)	PUNCT
amq-160	142	20	yields	yield	VERB
amq-160	142	21	an	an	DET
amq-160	142	22	r2=0.9544	r2=0.9544	PROPN
amq-160	142	23	and	and	CCONJ
amq-160	142	24	an	an	DET
amq-160	142	25	rmse=1.70	rmse=1.70	NOUN
amq-160	142	26	°	°	NOUN
amq-160	142	27	c	c	NOUN
amq-160	142	28	.	.	PROPN
amq-160	142	29	3.2	3.2	NUM
amq-160	142	30	.	.	PUNCT
amq-160	143	1	application	application	NOUN
amq-160	143	2	examples	example	NOUN
amq-160	143	3	as	as	ADP
amq-160	143	4	an	an	DET
amq-160	143	5	application	application	NOUN
amq-160	143	6	example	example	NOUN
amq-160	143	7	,	,	PUNCT
amq-160	143	8	the	the	DET
amq-160	143	9	coda	coda	NOUN
amq-160	143	10	-	-	PUNCT
amq-160	143	11	mat	mat	NOUN
amq-160	143	12	method	method	NOUN
amq-160	143	13	was	be	AUX
amq-160	143	14	applied	apply	VERB
amq-160	143	15	to	to	ADP
amq-160	143	16	planktonic	planktonic	ADJ
amq-160	143	17	foraminifera	foraminifera	NOUN
amq-160	143	18	records	record	NOUN
amq-160	143	19	which	which	PRON
amq-160	143	20	were	be	AUX
amq-160	143	21	also	also	ADV
amq-160	143	22	considered	consider	VERB
amq-160	143	23	to	to	PART
amq-160	143	24	evaluate	evaluate	VERB
amq-160	143	25	the	the	DET
amq-160	143	26	performing	performing	NOUN
amq-160	143	27	of	of	ADP
amq-160	143	28	coda	coda	NOUN
amq-160	143	29	-	-	PUNCT
amq-160	143	30	mat	mat	NOUN
amq-160	143	31	.	.	PUNCT
amq-160	144	1	the	the	DET
amq-160	144	2	first	first	ADJ
amq-160	144	3	one	one	NOUN
amq-160	144	4	is	be	AUX
amq-160	144	5	a	a	DET
amq-160	144	6	literature	literature	NOUN
amq-160	144	7	dataset	dataset	NOUN
amq-160	144	8	,	,	PUNCT
amq-160	144	9	consisting	consist	VERB
amq-160	144	10	of	of	ADP
amq-160	144	11	the	the	DET
amq-160	144	12	record	record	NOUN
amq-160	144	13	of	of	ADP
amq-160	144	14	planktonic	planktonic	ADJ
amq-160	144	15	foraminifera	foraminifera	NOUN
amq-160	144	16	assemblages	assemblage	NOUN
amq-160	144	17	of	of	ADP
amq-160	144	18	the	the	DET
amq-160	144	19	core	core	NOUN
amq-160	144	20	md95	md95	PROPN
amq-160	144	21	-	-	PUNCT
amq-160	144	22	2040	2040	NUM
amq-160	144	23	(	(	PUNCT
amq-160	144	24	de	de	X
amq-160	144	25	abreu	abreu	PROPN
amq-160	144	26	et	et	PROPN
amq-160	144	27	al	al	PROPN
amq-160	144	28	.	.	PROPN
amq-160	144	29	,	,	PUNCT
amq-160	144	30	2003	2003	NUM
amq-160	144	31	;	;	PUNCT
amq-160	144	32	voelker	voelker	NOUN
amq-160	144	33	&	&	CCONJ
amq-160	144	34	de	de	PROPN
amq-160	144	35	abreu	abreu	PROPN
amq-160	144	36	,	,	PUNCT
amq-160	144	37	2011	2011	NUM
amq-160	144	38	)	)	PUNCT
amq-160	144	39	,	,	PUNCT
amq-160	144	40	recovered	recover	VERB
amq-160	144	41	in	in	ADP
amq-160	144	42	the	the	DET
amq-160	144	43	atlantic	atlantic	PROPN
amq-160	144	44	ocean	ocean	PROPN
amq-160	144	45	off	off	ADP
amq-160	144	46	the	the	DET
amq-160	144	47	iberian	iberian	ADJ
amq-160	144	48	margin	margin	NOUN
amq-160	144	49	,	,	PUNCT
amq-160	144	50	the	the	DET
amq-160	144	51	second	second	NOUN
amq-160	144	52	is	be	AUX
amq-160	144	53	that	that	PRON
amq-160	144	54	of	of	ADP
amq-160	144	55	gns84	gns84	PROPN
amq-160	144	56	-	-	PUNCT
amq-160	144	57	c106	c106	PROPN
amq-160	144	58	core	core	NOUN
amq-160	144	59	recovered	recover	VERB
amq-160	144	60	in	in	ADP
amq-160	144	61	the	the	DET
amq-160	144	62	tyrrhenian	tyrrhenian	ADJ
amq-160	144	63	sea	sea	NOUN
amq-160	144	64	(	(	PUNCT
amq-160	144	65	buccheri	buccheri	NOUN
amq-160	144	66	et	et	PROPN
amq-160	144	67	al	al	PROPN
amq-160	144	68	,	,	PUNCT
amq-160	144	69	2002	2002	NUM
amq-160	144	70	;	;	PUNCT
amq-160	144	71	di	di	NOUN
amq-160	144	72	donato	donato	NOUN
amq-160	144	73	et	et	PROPN
amq-160	144	74	al	al	PROPN
amq-160	144	75	.	.	PROPN
amq-160	144	76	,	,	PUNCT
amq-160	144	77	2008	2008	NUM
amq-160	144	78	;	;	PUNCT
amq-160	144	79	2009	2009	NUM
amq-160	144	80	)	)	PUNCT
amq-160	144	81	.	.	PUNCT
amq-160	145	1	for	for	ADP
amq-160	145	2	the	the	DET
amq-160	145	3	mediterranean	mediterranean	PROPN
amq-160	145	4	sea	sea	PROPN
amq-160	145	5	,	,	PUNCT
amq-160	145	6	we	we	PRON
amq-160	145	7	also	also	ADV
amq-160	145	8	considered	consider	VERB
amq-160	145	9	the	the	DET
amq-160	145	10	planktonic	planktonic	ADJ
amq-160	145	11	foraminiferal	foraminiferal	ADJ
amq-160	145	12	record	record	NOUN
amq-160	145	13	of	of	ADP
amq-160	145	14	the	the	DET
amq-160	145	15	core	core	NOUN
amq-160	145	16	tea	tea	NOUN
amq-160	145	17	-	-	PUNCT
amq-160	145	18	c6	c6	PROPN
amq-160	145	19	(	(	PUNCT
amq-160	145	20	di	di	NOUN
amq-160	145	21	donato	donato	NOUN
amq-160	145	22	et	et	PROPN
amq-160	145	23	al	al	PROPN
amq-160	145	24	.	.	PROPN
amq-160	145	25	,	,	PUNCT
amq-160	145	26	2019	2019	NUM
amq-160	145	27	)	)	PUNCT
amq-160	145	28	,	,	PUNCT
amq-160	145	29	from	from	ADP
amq-160	145	30	which	which	PRON
amq-160	145	31	an	an	DET
amq-160	145	32	estimate	estimate	NOUN
amq-160	145	33	of	of	ADP
amq-160	145	34	past	past	ADJ
amq-160	145	35	sst	sst	NOUN
amq-160	145	36	for	for	ADP
amq-160	145	37	the	the	DET
amq-160	145	38	last	last	ADJ
amq-160	145	39	15	15	NUM
amq-160	145	40	ka	ka	PROPN
amq-160	145	41	,	,	PUNCT
amq-160	145	42	was	be	AUX
amq-160	145	43	obtained	obtain	VERB
amq-160	145	44	with	with	ADP
amq-160	145	45	the	the	DET
amq-160	145	46	coda	coda	NOUN
amq-160	145	47	-	-	PUNCT
amq-160	145	48	mat	mat	NOUN
amq-160	145	49	method	method	NOUN
amq-160	145	50	.	.	PUNCT
amq-160	146	1	all	all	DET
amq-160	146	2	datasets	dataset	NOUN
amq-160	146	3	are	be	AUX
amq-160	146	4	obtained	obtain	VERB
amq-160	146	5	from	from	ADP
amq-160	146	6	>	>	SYM
amq-160	146	7	150	150	NUM
amq-160	146	8	μm	μm	NUM
amq-160	146	9	size	size	NOUN
amq-160	146	10	fractions	fraction	NOUN
amq-160	146	11	.	.	PUNCT
amq-160	147	1	the	the	DET
amq-160	147	2	location	location	NOUN
amq-160	147	3	of	of	ADP
amq-160	147	4	the	the	DET
amq-160	147	5	cores	core	NOUN
amq-160	147	6	is	be	AUX
amq-160	147	7	shown	show	VERB
amq-160	147	8	in	in	ADP
amq-160	147	9	figure	figure	NOUN
amq-160	147	10	6	6	NUM
amq-160	147	11	.	.	PUNCT
amq-160	148	1	a	a	DET
amq-160	148	2	discussion	discussion	NOUN
amq-160	148	3	of	of	ADP
amq-160	148	4	the	the	DET
amq-160	148	5	possible	possible	ADJ
amq-160	148	6	drawback	drawback	NOUN
amq-160	148	7	represented	represent	VERB
amq-160	148	8	by	by	ADP
amq-160	148	9	the	the	DET
amq-160	148	10	excessive	excessive	ADJ
amq-160	148	11	loss	loss	NOUN
amq-160	148	12	of	of	ADP
amq-160	148	13	small	small	ADJ
amq-160	148	14	sized	sized	ADJ
amq-160	148	15	species	specie	NOUN
amq-160	148	16	in	in	ADP
amq-160	148	17	the	the	DET
amq-160	148	18	>	>	SYM
amq-160	148	19	150	150	NUM
amq-160	148	20	μm	μm	NOUN
amq-160	148	21	size	size	NOUN
amq-160	148	22	fraction	fraction	NOUN
amq-160	148	23	can	can	AUX
amq-160	148	24	be	be	AUX
amq-160	148	25	found	find	VERB
amq-160	148	26	in	in	ADP
amq-160	148	27	di	di	NOUN
amq-160	148	28	donato	donato	NOUN
amq-160	148	29	et	et	PROPN
amq-160	148	30	al	al	PROPN
amq-160	148	31	.	.	PROPN
amq-160	149	1	(	(	PUNCT
amq-160	149	2	2015	2015	NUM
amq-160	149	3	)	)	PUNCT
amq-160	149	4	.	.	PUNCT
amq-160	150	1	it	it	PRON
amq-160	150	2	can	can	AUX
amq-160	150	3	be	be	AUX
amq-160	150	4	noted	note	VERB
amq-160	150	5	that	that	SCONJ
amq-160	150	6	>	>	X
amq-160	150	7	150	150	NUM
amq-160	150	8	micron	micron	NOUN
amq-160	150	9	and	and	CCONJ
amq-160	150	10	>	>	SYM
amq-160	150	11	106	106	NUM
amq-160	150	12	μm	μm	NUM
amq-160	150	13	datasets	dataset	NOUN
amq-160	150	14	,	,	PUNCT
amq-160	150	15	if	if	SCONJ
amq-160	150	16	analysed	analyse	VERB
amq-160	150	17	with	with	ADP
amq-160	150	18	coda	coda	ADJ
amq-160	150	19	methods	method	NOUN
amq-160	150	20	,	,	PUNCT
amq-160	150	21	provide	provide	VERB
amq-160	150	22	the	the	DET
amq-160	150	23	same	same	ADJ
amq-160	150	24	covariance	covariance	NOUN
amq-160	150	25	structure	structure	NOUN
amq-160	150	26	.	.	PUNCT
amq-160	151	1	this	this	PRON
amq-160	151	2	suggests	suggest	VERB
amq-160	151	3	that	that	SCONJ
amq-160	151	4	regression	regression	NOUN
amq-160	151	5	-	-	PUNCT
amq-160	151	6	based	base	VERB
amq-160	151	7	methods	method	NOUN
amq-160	151	8	based	base	VERB
amq-160	151	9	on	on	ADP
amq-160	151	10	coda	coda	NOUN
amq-160	151	11	,	,	PUNCT
amq-160	151	12	may	may	AUX
amq-160	151	13	be	be	AUX
amq-160	151	14	quite	quite	ADV
amq-160	151	15	robust	robust	ADJ
amq-160	151	16	with	with	ADP
amq-160	151	17	respect	respect	NOUN
amq-160	151	18	to	to	ADP
amq-160	151	19	treatment	treatment	NOUN
amq-160	151	20	changes	change	NOUN
amq-160	151	21	such	such	ADJ
amq-160	151	22	as	as	ADP
amq-160	151	23	the	the	DET
amq-160	151	24	analysed	analyse	VERB
amq-160	151	25	size	size	NOUN
amq-160	151	26	fraction	fraction	NOUN
amq-160	151	27	.	.	PUNCT
amq-160	152	1	3.2.1	3.2.1	X
amq-160	152	2	.	.	PUNCT
amq-160	152	3	atlantic	atlantic	PROPN
amq-160	152	4	ocean	ocean	PROPN
amq-160	152	5	the	the	DET
amq-160	152	6	foraminiferal	foraminiferal	ADJ
amq-160	152	7	record	record	NOUN
amq-160	152	8	of	of	ADP
amq-160	152	9	md95	md95	PROPN
amq-160	152	10	-	-	PUNCT
amq-160	152	11	2040	2040	NUM
amq-160	152	12	core	core	NOUN
amq-160	152	13	covers	cover	VERB
amq-160	152	14	the	the	DET
amq-160	152	15	last	last	ADJ
amq-160	152	16	210	210	NUM
amq-160	152	17	ka	ka	X
amq-160	152	18	(	(	PUNCT
amq-160	152	19	de	de	X
amq-160	152	20	abreu	abreu	PROPN
amq-160	152	21	et	et	PROPN
amq-160	152	22	al	al	PROPN
amq-160	152	23	.	.	PROPN
amq-160	152	24	,	,	PUNCT
amq-160	152	25	2003	2003	NUM
amq-160	152	26	;	;	PUNCT
amq-160	152	27	voelker	voelker	NOUN
amq-160	152	28	,	,	PUNCT
amq-160	152	29	&	&	CCONJ
amq-160	152	30	de	de	X
amq-160	152	31	abreu	abreu	PROPN
amq-160	152	32	,	,	PUNCT
amq-160	152	33	2011	2011	NUM
amq-160	152	34	)	)	PUNCT
amq-160	152	35	.	.	PUNCT
amq-160	153	1	sst	sst	NOUN
amq-160	153	2	for	for	ADP
amq-160	153	3	this	this	DET
amq-160	153	4	interval	interval	NOUN
amq-160	153	5	were	be	AUX
amq-160	153	6	formerly	formerly	ADV
amq-160	153	7	reconstructed	reconstruct	VERB
amq-160	153	8	(	(	PUNCT
amq-160	153	9	de	de	X
amq-160	153	10	abreu	abreu	PROPN
amq-160	153	11	et	et	PROPN
amq-160	153	12	al	al	PROPN
amq-160	153	13	.	.	PROPN
amq-160	153	14	,	,	PUNCT
amq-160	153	15	2003	2003	NUM
amq-160	153	16	)	)	PUNCT
amq-160	153	17	from	from	ADP
amq-160	153	18	planktonic	planktonic	ADJ
amq-160	153	19	foraminifera	foraminifera	NOUN
amq-160	153	20	with	with	ADP
amq-160	153	21	simmax28	simmax28	ADJ
amq-160	153	22	method	method	NOUN
amq-160	153	23	(	(	PUNCT
amq-160	153	24	pflaumann	pflaumann	PROPN
amq-160	153	25	et	et	PROPN
amq-160	153	26	al	al	PROPN
amq-160	153	27	.	.	PROPN
amq-160	153	28	,	,	PUNCT
amq-160	153	29	1996	1996	NUM
amq-160	153	30	)	)	PUNCT
amq-160	153	31	.	.	PUNCT
amq-160	154	1	the	the	DET
amq-160	154	2	dataset	dataset	NOUN
amq-160	154	3	consists	consist	VERB
amq-160	154	4	of	of	ADP
amq-160	154	5	732	732	NUM
amq-160	154	6	assemblages	assemblage	NOUN
amq-160	154	7	.	.	PUNCT
amq-160	155	1	as	as	SCONJ
amq-160	155	2	regards	regard	VERB
amq-160	155	3	the	the	DET
amq-160	155	4	atypicality	atypicality	NOUN
amq-160	155	5	of	of	ADP
amq-160	155	6	assemblages	assemblage	NOUN
amq-160	155	7	,	,	PUNCT
amq-160	155	8	in	in	ADP
amq-160	155	9	relation	relation	NOUN
amq-160	155	10	to	to	ADP
amq-160	155	11	the	the	DET
amq-160	155	12	99.5	99.5	NUM
amq-160	155	13	percentile	percentile	NOUN
amq-160	155	14	only	only	ADV
amq-160	155	15	4	4	NUM
amq-160	155	16	%	%	NOUN
amq-160	155	17	of	of	ADP
amq-160	155	18	the	the	DET
amq-160	155	19	samples	sample	NOUN
amq-160	155	20	have	have	VERB
amq-160	155	21	mahalanobis	mahalanobis	ADJ
amq-160	155	22	distances	distance	NOUN
amq-160	155	23	are	be	AUX
amq-160	155	24	above	above	ADP
amq-160	155	25	the	the	DET
amq-160	155	26	xi	xi	PROPN
amq-160	155	27	-	-	PUNCT
amq-160	155	28	square	square	ADJ
amq-160	155	29	critical	critical	ADJ
amq-160	155	30	value	value	NOUN
amq-160	155	31	of	of	ADP
amq-160	155	32	31.32	31.32	NUM
amq-160	155	33	(	(	PUNCT
amq-160	155	34	see	see	VERB
amq-160	155	35	figure	figure	NOUN
amq-160	155	36	6	6	NUM
amq-160	155	37	in	in	ADP
amq-160	155	38	di	di	X
amq-160	155	39	donato	donato	NOUN
amq-160	155	40	et	et	PROPN
amq-160	155	41	al	al	PROPN
amq-160	155	42	.	.	PROPN
amq-160	155	43	,	,	PUNCT
amq-160	155	44	2018	2018	NUM
amq-160	155	45	)	)	PUNCT
amq-160	155	46	.	.	PUNCT
amq-160	156	1	as	as	ADP
amq-160	156	2	for	for	ADP
amq-160	156	3	the	the	DET
amq-160	156	4	lof	lof	NOUN
amq-160	156	5	it	it	PRON
amq-160	156	6	can	can	AUX
amq-160	156	7	be	be	AUX
amq-160	156	8	noted	note	VERB
amq-160	156	9	that	that	SCONJ
amq-160	156	10	glacial	glacial	ADJ
amq-160	156	11	assemblages	assemblage	NOUN
amq-160	156	12	are	be	AUX
amq-160	156	13	characterised	characterise	VERB
amq-160	156	14	by	by	ADP
amq-160	156	15	higher	high	ADJ
amq-160	156	16	values	value	NOUN
amq-160	156	17	of	of	ADP
amq-160	156	18	up	up	ADP
amq-160	156	19	to	to	PART
amq-160	156	20	2	2	NUM
amq-160	156	21	,	,	PUNCT
amq-160	156	22	while	while	SCONJ
amq-160	156	23	most	most	ADJ
amq-160	156	24	interglacial	interglacial	ADJ
amq-160	156	25	assemblages	assemblage	NOUN
amq-160	156	26	have	have	VERB
amq-160	156	27	lof	lof	NOUN
amq-160	156	28	values	value	NOUN
amq-160	156	29	not	not	PART
amq-160	156	30	exceeding	exceed	VERB
amq-160	156	31	1.5	1.5	NUM
amq-160	156	32	.	.	PUNCT
amq-160	157	1	on	on	ADP
amq-160	157	2	the	the	DET
amq-160	157	3	basis	basis	NOUN
amq-160	157	4	of	of	ADP
amq-160	157	5	lda	lda	PROPN
amq-160	157	6	computed	compute	VERB
amq-160	157	7	on	on	ADP
amq-160	157	8	ilr	ilr	PROPN
amq-160	157	9	-	-	PUNCT
amq-160	157	10	coordinates	coordinate	NOUN
amq-160	157	11	,	,	PUNCT
amq-160	157	12	98	98	NUM
amq-160	157	13	assemblages	assemblage	NOUN
amq-160	157	14	were	be	AUX
amq-160	157	15	classified	classify	VERB
amq-160	157	16	into	into	ADP
amq-160	157	17	the	the	DET
amq-160	157	18	high	high	ADJ
amq-160	157	19	latitude	latitude	NOUN
amq-160	157	20	assemblage	assemblage	NOUN
amq-160	157	21	group	group	NOUN
amq-160	157	22	,	,	PUNCT
amq-160	157	23	and	and	CCONJ
amq-160	157	24	634	634	NUM
amq-160	157	25	assemblages	assemblage	NOUN
amq-160	157	26	into	into	ADP
amq-160	157	27	the	the	DET
amq-160	157	28	low	low	ADJ
amq-160	157	29	to	to	ADP
amq-160	157	30	middle	middle	ADJ
amq-160	157	31	latitude	latitude	NOUN
amq-160	157	32	assemblage	assemblage	NOUN
amq-160	157	33	group	group	NOUN
amq-160	157	34	.	.	PUNCT
amq-160	158	1	the	the	DET
amq-160	158	2	output	output	NOUN
amq-160	158	3	of	of	ADP
amq-160	158	4	the	the	DET
amq-160	158	5	lda	lda	NOUN
amq-160	158	6	with	with	ADP
amq-160	158	7	the	the	DET
amq-160	158	8	indication	indication	NOUN
amq-160	158	9	of	of	ADP
amq-160	158	10	the	the	DET
amq-160	158	11	group	group	NOUN
amq-160	158	12	to	to	PART
amq-160	158	13	which	which	PRON
amq-160	158	14	each	each	DET
amq-160	158	15	assemblage	assemblage	NOUN
amq-160	158	16	was	be	AUX
amq-160	158	17	assigned	assign	VERB
amq-160	158	18	with	with	ADP
amq-160	158	19	the	the	DET
amq-160	158	20	posterior	posterior	ADJ
amq-160	158	21	probabilities	probability	NOUN
amq-160	158	22	is	be	AUX
amq-160	158	23	provided	provide	VERB
amq-160	158	24	in	in	ADP
amq-160	158	25	the	the	DET
amq-160	158	26	supplementary	supplementary	ADJ
amq-160	158	27	materials	material	NOUN
amq-160	158	28	.	.	PUNCT
amq-160	159	1	a	a	DET
amq-160	159	2	comparison	comparison	NOUN
amq-160	159	3	between	between	ADP
amq-160	159	4	the	the	DET
amq-160	159	5	values	value	NOUN
amq-160	159	6	reconstructed	reconstruct	VERB
amq-160	159	7	for	for	ADP
amq-160	159	8	summer	summer	NOUN
amq-160	159	9	and	and	CCONJ
amq-160	159	10	winter	winter	NOUN
amq-160	159	11	sst	sst	NOUN
amq-160	159	12	by	by	ADP
amq-160	159	13	means	mean	NOUN
amq-160	159	14	of	of	ADP
amq-160	159	15	simmax28	simmax28	NOUN
amq-160	159	16	(	(	PUNCT
amq-160	159	17	de	de	X
amq-160	159	18	abreu	abreu	PROPN
amq-160	159	19	et	et	PROPN
amq-160	159	20	al	al	PROPN
amq-160	159	21	.	.	PROPN
amq-160	159	22	,	,	PUNCT
amq-160	159	23	2003	2003	NUM
amq-160	159	24	)	)	PUNCT
amq-160	159	25	,	,	PUNCT
amq-160	159	26	coda	coda	NOUN
amq-160	159	27	-	-	PUNCT
amq-160	159	28	mat	mat	NOUN
amq-160	159	29	,	,	PUNCT
amq-160	159	30	coda	coda	NOUN
amq-160	159	31	-	-	PUNCT
amq-160	159	32	plsr	plsr	NOUN
amq-160	159	33	and	and	CCONJ
amq-160	159	34	codapcr	codapcr	ADJ
amq-160	159	35	is	be	AUX
amq-160	159	36	shown	show	VERB
amq-160	159	37	in	in	ADP
amq-160	159	38	figure	figure	NOUN
amq-160	159	39	7	7	NUM
amq-160	159	40	.	.	PUNCT
amq-160	160	1	the	the	DET
amq-160	160	2	stronger	strong	ADJ
amq-160	160	3	coherence	coherence	NOUN
amq-160	160	4	of	of	ADP
amq-160	160	5	coda	coda	NOUN
amq-160	160	6	-	-	PUNCT
amq-160	160	7	mat	mat	NOUN
amq-160	160	8	reconstruction	reconstruction	NOUN
amq-160	160	9	with	with	ADP
amq-160	160	10	alkenones	alkenone	NOUN
amq-160	160	11	and	and	CCONJ
amq-160	160	12	the	the	DET
amq-160	160	13	stable	stable	ADJ
amq-160	160	14	isotope	isotope	NOUN
amq-160	160	15	record	record	NOUN
amq-160	160	16	with	with	ADP
amq-160	160	17	respect	respect	NOUN
amq-160	160	18	to	to	ADP
amq-160	160	19	simmax28	simmax28	NOUN
amq-160	160	20	has	have	AUX
amq-160	160	21	been	be	AUX
amq-160	160	22	already	already	ADV
amq-160	160	23	highlighted	highlight	VERB
amq-160	160	24	in	in	ADP
amq-160	160	25	di	di	PROPN
amq-160	160	26	donato	donato	NOUN
amq-160	160	27	et	et	PROPN
amq-160	160	28	al	al	PROPN
amq-160	160	29	.	.	PROPN
amq-160	161	1	(	(	PUNCT
amq-160	161	2	2018	2018	NUM
amq-160	161	3	)	)	PUNCT
amq-160	161	4	.	.	PUNCT
amq-160	162	1	here	here	ADV
amq-160	162	2	we	we	PRON
amq-160	162	3	note	note	VERB
amq-160	162	4	that	that	SCONJ
amq-160	162	5	coda	coda	NOUN
amq-160	162	6	-	-	PUNCT
amq-160	162	7	plsr	plsr	NOUN
amq-160	162	8	and	and	CCONJ
amq-160	162	9	coda	coda	ADJ
amq-160	162	10	-	-	PUNCT
amq-160	162	11	pcr	pcr	NOUN
amq-160	162	12	reconstruction	reconstruction	NOUN
amq-160	162	13	are	be	AUX
amq-160	162	14	largely	largely	ADV
amq-160	162	15	overlapping	overlap	VERB
amq-160	162	16	and	and	CCONJ
amq-160	162	17	show	show	VERB
amq-160	162	18	a	a	DET
amq-160	162	19	same	same	ADJ
amq-160	162	20	general	general	ADJ
amq-160	162	21	trend	trend	NOUN
amq-160	162	22	if	if	SCONJ
amq-160	162	23	compared	compare	VERB
amq-160	162	24	with	with	ADP
amq-160	162	25	coda	coda	NOUN
amq-160	162	26	-	-	PUNCT
amq-160	162	27	mat	mat	NOUN
amq-160	162	28	.	.	PUNCT
amq-160	163	1	several	several	ADJ
amq-160	163	2	sst	sst	PROPN
amq-160	163	3	minima	minima	PROPN
amq-160	163	4	,	,	PUNCT
amq-160	163	5	which	which	PRON
amq-160	163	6	correspond	correspond	VERB
amq-160	163	7	to	to	ADP
amq-160	163	8	heinrich	heinrich	NOUN
amq-160	163	9	events	event	NOUN
amq-160	163	10	,	,	PUNCT
amq-160	163	11	are	be	AUX
amq-160	163	12	also	also	ADV
amq-160	163	13	recorded	record	VERB
amq-160	163	14	by	by	ADP
amq-160	163	15	coda	coda	NOUN
amq-160	163	16	-	-	PUNCT
amq-160	163	17	plsr	plsr	NOUN
amq-160	163	18	and	and	CCONJ
amq-160	163	19	coda	coda	NOUN
amq-160	163	20	-	-	PUNCT
amq-160	163	21	pcr	pcr	NOUN
amq-160	163	22	with	with	ADP
amq-160	163	23	slightly	slightly	ADV
amq-160	163	24	less	less	ADV
amq-160	163	25	-	-	PUNCT
amq-160	163	26	deep	deep	ADJ
amq-160	163	27	minima	minima	NOUN
amq-160	163	28	in	in	ADP
amq-160	163	29	comparison	comparison	NOUN
amq-160	163	30	with	with	ADP
amq-160	163	31	coda	coda	NOUN
amq-160	163	32	-	-	PUNCT
amq-160	163	33	mat	mat	NOUN
amq-160	163	34	but	but	CCONJ
amq-160	163	35	more	more	ADV
amq-160	163	36	marked	mark	VERB
amq-160	163	37	in	in	ADP
amq-160	163	38	comparison	comparison	NOUN
amq-160	163	39	with	with	ADP
amq-160	163	40	alkenones	alkenone	NOUN
amq-160	163	41	record	record	NOUN
amq-160	163	42	.	.	PUNCT
amq-160	164	1	coda	coda	NOUN
amq-160	164	2	-	-	PUNCT
amq-160	164	3	mat	mat	NOUN
amq-160	164	4	and	and	CCONJ
amq-160	164	5	regression	regression	NOUN
amq-160	164	6	-	-	PUNCT
amq-160	164	7	based	base	VERB
amq-160	164	8	methods	method	NOUN
amq-160	164	9	also	also	ADV
amq-160	164	10	provide	provide	VERB
amq-160	164	11	different	different	ADJ
amq-160	164	12	sst	sst	NOUN
amq-160	164	13	reconstructions	reconstruction	NOUN
amq-160	164	14	for	for	ADP
amq-160	164	15	the	the	DET
amq-160	164	16	mis5	mis5	NOUN
amq-160	164	17	:	:	PUNCT
amq-160	164	18	the	the	DET
amq-160	164	19	former	former	NOUN
amq-160	164	20	provides	provide	VERB
amq-160	164	21	higher	high	ADJ
amq-160	164	22	sst	sst	NOUN
amq-160	164	23	estimates	estimate	NOUN
amq-160	164	24	,	,	PUNCT
amq-160	164	25	while	while	SCONJ
amq-160	164	26	the	the	DET
amq-160	164	27	latter	latter	ADJ
amq-160	164	28	highlight	highlight	VERB
amq-160	164	29	a	a	DET
amq-160	164	30	decreasing	decrease	VERB
amq-160	164	31	trend	trend	NOUN
amq-160	164	32	during	during	ADP
amq-160	164	33	the	the	DET
amq-160	164	34	mis5	mis5	NOUN
amq-160	164	35	which	which	PRON
amq-160	164	36	does	do	AUX
amq-160	164	37	not	not	PART
amq-160	164	38	appear	appear	VERB
amq-160	164	39	in	in	ADP
amq-160	164	40	the	the	DET
amq-160	164	41	coda	coda	NOUN
amq-160	164	42	-	-	PUNCT
amq-160	164	43	mat	mat	NOUN
amq-160	164	44	reconstruction	reconstruction	NOUN
amq-160	164	45	.	.	PUNCT
amq-160	165	1	the	the	DET
amq-160	165	2	sst	sst	NOUN
amq-160	165	3	reconstructed	reconstruct	VERB
amq-160	165	4	with	with	ADP
amq-160	165	5	the	the	DET
amq-160	165	6	15	15	NUM
amq-160	165	7	taxa	taxa	NOUN
amq-160	165	8	and	and	CCONJ
amq-160	165	9	the	the	DET
amq-160	165	10	19	19	NUM
amq-160	165	11	taxa	taxa	NOUN
amq-160	165	12	datasets	dataset	NOUN
amq-160	165	13	,	,	PUNCT
amq-160	165	14	are	be	AUX
amq-160	165	15	quite	quite	ADV
amq-160	165	16	similar	similar	ADJ
amq-160	165	17	,	,	PUNCT
amq-160	165	18	being	be	AUX
amq-160	165	19	characterised	characterise	VERB
amq-160	165	20	by	by	ADP
amq-160	165	21	a	a	DET
amq-160	165	22	r=0.9865	r=0.9865	VERB
amq-160	165	23	(	(	PUNCT
amq-160	165	24	r=	r=	ADJ
amq-160	165	25	0.9868	0.9868	NUM
amq-160	165	26	)	)	PUNCT
amq-160	165	27	and	and	CCONJ
amq-160	165	28	by	by	ADP
amq-160	165	29	a	a	DET
amq-160	165	30	root	root	NOUN
amq-160	165	31	mean	mean	NOUN
amq-160	165	32	squared	square	VERB
amq-160	165	33	difference	difference	NOUN
amq-160	165	34	of	of	ADP
amq-160	165	35	0.70	0.70	NUM
amq-160	165	36	°	°	NOUN
amq-160	165	37	c	c	NOUN
amq-160	165	38	(	(	PUNCT
amq-160	165	39	0.48	0.48	NUM
amq-160	165	40	°	°	NOUN
amq-160	165	41	c	c	NOUN
amq-160	165	42	)	)	PUNCT
amq-160	165	43	for	for	ADP
amq-160	165	44	summer	summer	NOUN
amq-160	165	45	(	(	PUNCT
amq-160	165	46	winter	winter	NOUN
amq-160	165	47	)	)	PUNCT
amq-160	165	48	sst	sst	NOUN
amq-160	165	49	.	.	PUNCT
amq-160	166	1	the	the	DET
amq-160	166	2	multivariate	multivariate	NOUN
amq-160	166	3	rmsd	rmsd	VERB
amq-160	166	4	between	between	ADP
amq-160	166	5	15	15	NUM
amq-160	166	6	taxa	taxa	NOUN
amq-160	166	7	and	and	CCONJ
amq-160	166	8	the	the	DET
amq-160	166	9	19	19	NUM
amq-160	166	10	taxa	taxa	NOUN
amq-160	166	11	reconstructed	reconstruct	VERB
amq-160	166	12	sst	sst	NOUN
amq-160	166	13	is	be	AUX
amq-160	166	14	0.7177	0.7177	NUM
amq-160	166	15	.	.	PUNCT
amq-160	167	1	3.2.2	3.2.2	NUM
amq-160	167	2	.	.	PUNCT
amq-160	168	1	mediterranean	mediterranean	PROPN
amq-160	168	2	sea	sea	PROPN
amq-160	168	3	the	the	DET
amq-160	168	4	core	core	NOUN
amq-160	168	5	gns84	gns84	PROPN
amq-160	168	6	-	-	PUNCT
amq-160	168	7	c106	c106	PROPN
amq-160	168	8	recovered	recover	VERB
amq-160	168	9	in	in	ADP
amq-160	168	10	the	the	DET
amq-160	168	11	gulf	gulf	PROPN
amq-160	168	12	of	of	ADP
amq-160	168	13	salerno	salerno	PROPN
amq-160	168	14	(	(	PUNCT
amq-160	168	15	tyrrhenian	tyrrhenian	ADJ
amq-160	168	16	sea	sea	NOUN
amq-160	168	17	western	western	PROPN
amq-160	168	18	mediterranean	mediterranean	PROPN
amq-160	168	19	)	)	PUNCT
amq-160	169	1	covers	cover	VERB
amq-160	169	2	the	the	DET
amq-160	169	3	last	last	ADJ
amq-160	169	4	34	34	NUM
amq-160	169	5	ka	ka	PROPN
amq-160	169	6	(	(	PUNCT
amq-160	169	7	di	di	NOUN
amq-160	169	8	donato	donato	NOUN
amq-160	169	9	et	et	PROPN
amq-160	169	10	al	al	PROPN
amq-160	169	11	.	.	PROPN
amq-160	169	12	,	,	PUNCT
amq-160	169	13	2009	2009	NUM
amq-160	169	14	)	)	PUNCT
amq-160	169	15	.	.	PUNCT
amq-160	170	1	this	this	DET
amq-160	170	2	dataset	dataset	NOUN
amq-160	170	3	is	be	AUX
amq-160	170	4	represented	represent	VERB
amq-160	170	5	by	by	ADP
amq-160	170	6	228	228	NUM
amq-160	170	7	planktonic	planktonic	ADJ
amq-160	170	8	foraminiferal	foraminiferal	ADJ
amq-160	170	9	assemblages	assemblage	NOUN
amq-160	170	10	determined	determine	VERB
amq-160	170	11	on	on	ADP
amq-160	170	12	the	the	DET
amq-160	170	13	>	>	SYM
amq-160	170	14	150	150	NUM
amq-160	170	15	-	-	PUNCT
amq-160	170	16	micron	micron	NOUN
amq-160	170	17	size	size	NOUN
amq-160	170	18	fraction	fraction	NOUN
amq-160	170	19	.	.	PUNCT
amq-160	171	1	the	the	DET
amq-160	171	2	quantitative	quantitative	ADJ
amq-160	171	3	reconstructions	reconstruction	NOUN
amq-160	171	4	of	of	ADP
amq-160	171	5	past	past	ADJ
amq-160	171	6	climatic	climatic	ADJ
amq-160	171	7	conditions	condition	NOUN
amq-160	171	8	for	for	ADP
amq-160	171	9	the	the	DET
amq-160	171	10	mediterranean	mediterranean	PROPN
amq-160	171	11	basin	basin	PROPN
amq-160	171	12	face	face	VERB
amq-160	171	13	several	several	ADJ
amq-160	171	14	problems	problem	NOUN
amq-160	171	15	related	relate	VERB
amq-160	171	16	to	to	ADP
amq-160	171	17	the	the	DET
amq-160	171	18	peculiar	peculiar	ADJ
amq-160	171	19	hydrological	hydrological	ADJ
amq-160	171	20	asset	asset	NOUN
amq-160	171	21	of	of	ADP
amq-160	171	22	this	this	DET
amq-160	171	23	semienclosed	semienclose	VERB
amq-160	171	24	basin	basin	NOUN
amq-160	171	25	.	.	PUNCT
amq-160	172	1	reconstructions	reconstruction	NOUN
amq-160	172	2	became	become	VERB
amq-160	172	3	even	even	ADV
amq-160	172	4	more	more	ADV
amq-160	172	5	problematic	problematic	ADJ
amq-160	172	6	for	for	ADP
amq-160	172	7	glacial	glacial	ADJ
amq-160	172	8	intervals	interval	NOUN
amq-160	172	9	(	(	PUNCT
amq-160	172	10	sbaffi	sbaffi	PROPN
amq-160	172	11	et	et	PROPN
amq-160	172	12	al	al	PROPN
amq-160	172	13	.	.	PROPN
amq-160	172	14	,	,	PUNCT
amq-160	172	15	2001	2001	NUM
amq-160	172	16	,	,	PUNCT
amq-160	172	17	among	among	ADP
amq-160	172	18	others	other	NOUN
amq-160	172	19	)	)	PUNCT
amq-160	172	20	.	.	PUNCT
amq-160	173	1	as	as	SCONJ
amq-160	173	2	regards	regard	VERB
amq-160	173	3	the	the	DET
amq-160	173	4	lda	lda	PROPN
amq-160	173	5	,	,	PUNCT
amq-160	173	6	the	the	DET
amq-160	173	7	whole	whole	ADJ
amq-160	173	8	core	core	NOUN
amq-160	173	9	gns84	gns84	PROPN
amq-160	173	10	-	-	PUNCT
amq-160	173	11	c106	c106	PROPN
amq-160	173	12	dataset	dataset	NOUN
amq-160	173	13	was	be	AUX
amq-160	173	14	classified	classify	VERB
amq-160	173	15	into	into	ADP
amq-160	173	16	the	the	DET
amq-160	173	17	low	low	ADJ
amq-160	173	18	to	to	ADP
amq-160	173	19	middle	middle	ADJ
amq-160	173	20	latitude	latitude	NOUN
amq-160	173	21	group	group	NOUN
amq-160	173	22	(	(	PUNCT
amq-160	173	23	see	see	VERB
amq-160	173	24	supplementary	supplementary	ADJ
amq-160	173	25	material	material	NOUN
amq-160	173	26	)	)	PUNCT
amq-160	173	27	.	.	PUNCT
amq-160	174	1	however	however	ADV
amq-160	174	2	,	,	PUNCT
amq-160	174	3	as	as	SCONJ
amq-160	174	4	shown	show	VERB
amq-160	174	5	in	in	ADP
amq-160	174	6	figure	figure	NOUN
amq-160	174	7	8	8	NUM
amq-160	174	8	,	,	PUNCT
amq-160	174	9	a	a	DET
amq-160	174	10	significant	significant	ADJ
amq-160	174	11	atypicality	atypicality	NOUN
amq-160	174	12	index	index	NOUN
amq-160	174	13	36	36	NUM
amq-160	174	14	fig	fig	NOUN
amq-160	174	15	.	.	PUNCT
amq-160	175	1	6	6	NUM
amq-160	175	2	location	location	NOUN
amq-160	175	3	of	of	ADP
amq-160	175	4	cores	core	NOUN
amq-160	175	5	considered	consider	VERB
amq-160	175	6	in	in	ADP
amq-160	175	7	this	this	DET
amq-160	175	8	paper	paper	NOUN
amq-160	175	9	.	.	PUNCT
amq-160	176	1	--------	--------	PUNCT
amq-160	176	2	>	>	PUNCT
amq-160	176	3	>	>	PUNCT
amq-160	176	4	>	>	PUNCT
amq-160	176	5	>	>	X
amq-160	176	6	>	>	X
amq-160	176	7	fig	fig	NOUN
amq-160	176	8	.	.	PUNCT
amq-160	177	1	7	7	NUM
amq-160	177	2	reconstruction	reconstruction	NOUN
amq-160	177	3	of	of	ADP
amq-160	177	4	seasonal	seasonal	ADJ
amq-160	177	5	sst	sst	NOUN
amq-160	177	6	for	for	ADP
amq-160	177	7	the	the	DET
amq-160	177	8	last	last	ADJ
amq-160	177	9	210	210	NUM
amq-160	177	10	ka	ka	NOUN
amq-160	177	11	off	off	ADP
amq-160	177	12	the	the	DET
amq-160	177	13	iberian	iberian	ADJ
amq-160	177	14	margin	margin	NOUN
amq-160	177	15	from	from	ADP
amq-160	177	16	core	core	ADJ
amq-160	177	17	md95	md95	PROPN
amq-160	177	18	-	-	PUNCT
amq-160	177	19	2040	2040	NUM
amq-160	177	20	and	and	CCONJ
amq-160	177	21	comparison	comparison	NOUN
amq-160	177	22	between	between	ADP
amq-160	177	23	simmax28	simmax28	NOUN
amq-160	177	24	(	(	PUNCT
amq-160	177	25	de	de	X
amq-160	177	26	abreu	abreu	PROPN
amq-160	177	27	et	et	PROPN
amq-160	177	28	al	al	PROPN
amq-160	177	29	.	.	PROPN
amq-160	177	30	,	,	PUNCT
amq-160	177	31	2003	2003	NUM
amq-160	177	32	,	,	PUNCT
amq-160	177	33	voelker	voelker	NOUN
amq-160	177	34	&	&	CCONJ
amq-160	177	35	de	de	PROPN
amq-160	177	36	abreu	abreu	PROPN
amq-160	177	37	,	,	PUNCT
amq-160	177	38	2011	2011	NUM
amq-160	177	39	)	)	PUNCT
amq-160	177	40	,	,	PUNCT
amq-160	177	41	coda	coda	NOUN
amq-160	177	42	-	-	PUNCT
amq-160	177	43	mat	mat	NOUN
amq-160	177	44	,	,	PUNCT
amq-160	177	45	coda	coda	NOUN
amq-160	177	46	-	-	PUNCT
amq-160	177	47	plsr	plsr	NOUN
amq-160	177	48	and	and	CCONJ
amq-160	177	49	coda	coda	NOUN
amq-160	177	50	-	-	PUNCT
amq-160	177	51	pcr	pcr	ADJ
amq-160	177	52	reconstructed	reconstruct	VERB
amq-160	177	53	ssts	sst	NOUN
amq-160	177	54	.	.	PUNCT
amq-160	178	1	a	a	DET
amq-160	178	2	)	)	PUNCT
amq-160	178	3	summer	summer	NOUN
amq-160	178	4	and	and	CCONJ
amq-160	178	5	b	b	NOUN
amq-160	178	6	)	)	PUNCT
amq-160	178	7	winter	winter	NOUN
amq-160	178	8	simmax28	simmax28	NOUN
amq-160	178	9	reconstruction	reconstruction	NOUN
amq-160	178	10	.	.	PUNCT
amq-160	179	1	c	c	X
amq-160	179	2	)	)	PUNCT
amq-160	179	3	summer	summer	NOUN
amq-160	179	4	and	and	CCONJ
amq-160	179	5	d	d	NOUN
amq-160	179	6	)	)	PUNCT
amq-160	179	7	winter	winter	NOUN
amq-160	179	8	sst	sst	NOUN
amq-160	179	9	coda	coda	NOUN
amq-160	179	10	-	-	PUNCT
amq-160	179	11	based	base	VERB
amq-160	179	12	reconstructions	reconstruction	NOUN
amq-160	179	13	.	.	PUNCT
amq-160	180	1	grey	grey	PROPN
amq-160	180	2	lines	line	NOUN
amq-160	180	3	indicate	indicate	VERB
amq-160	180	4	the	the	DET
amq-160	180	5	standard	standard	ADJ
amq-160	180	6	deviation	deviation	NOUN
amq-160	180	7	of	of	ADP
amq-160	180	8	coda	coda	NOUN
amq-160	180	9	-	-	PUNCT
amq-160	180	10	mat	mat	NOUN
amq-160	180	11	estimates	estimate	NOUN
amq-160	180	12	e	e	NOUN
amq-160	180	13	)	)	PUNCT
amq-160	180	14	alkenone	alkenone	NOUN
amq-160	180	15	based	base	VERB
amq-160	180	16	sst	sst	NOUN
amq-160	180	17	reconstruction	reconstruction	NOUN
amq-160	180	18	(	(	PUNCT
amq-160	180	19	pailler	pailler	NOUN
amq-160	180	20	&	&	CCONJ
amq-160	180	21	bard	bard	NOUN
amq-160	180	22	,	,	PUNCT
amq-160	180	23	2002	2002	NUM
amq-160	180	24	)	)	PUNCT
amq-160	180	25	.	.	PUNCT
amq-160	181	1	f	f	X
amq-160	181	2	)	)	PUNCT
amq-160	181	3	globigerina	globigerina	NOUN
amq-160	181	4	bulloides	bulloide	VERB
amq-160	181	5	stable	stable	ADJ
amq-160	181	6	isotope	isotope	NOUN
amq-160	181	7	record	record	NOUN
amq-160	181	8	and	and	CCONJ
amq-160	181	9	marine	marine	ADJ
amq-160	181	10	isotopic	isotopic	ADJ
amq-160	181	11	stages	stage	NOUN
amq-160	181	12	(	(	PUNCT
amq-160	181	13	mis	mis	NOUN
amq-160	181	14	)	)	PUNCT
amq-160	181	15	(	(	PUNCT
amq-160	181	16	abreu	abreu	PROPN
amq-160	181	17	et	et	PROPN
amq-160	181	18	al	al	PROPN
amq-160	181	19	.	.	PROPN
amq-160	181	20	,	,	PUNCT
amq-160	181	21	2003	2003	NUM
amq-160	181	22	;	;	PUNCT
amq-160	181	23	schönfeld	schönfeld	PROPN
amq-160	181	24	et	et	PROPN
amq-160	181	25	al	al	PROPN
amq-160	181	26	.	.	PROPN
amq-160	181	27	,	,	PUNCT
amq-160	181	28	2003	2003	NUM
amq-160	181	29	):	):	PUNCT
amq-160	181	30	grey	grey	NOUN
amq-160	181	31	-	-	PUNCT
amq-160	181	32	shaded	shade	VERB
amq-160	181	33	dots	dot	NOUN
amq-160	181	34	:	:	PUNCT
amq-160	181	35	distance	distance	NOUN
amq-160	181	36	of	of	ADP
amq-160	181	37	fossil	fossil	NOUN
amq-160	181	38	assemblages	assemblage	NOUN
amq-160	181	39	from	from	ADP
amq-160	181	40	each	each	PRON
amq-160	181	41	of	of	ADP
amq-160	181	42	the	the	DET
amq-160	181	43	6	6	NUM
amq-160	181	44	closest	close	ADJ
amq-160	181	45	modern	modern	ADJ
amq-160	181	46	analogues	analogue	NOUN
amq-160	181	47	.	.	PUNCT
amq-160	182	1	full	full	ADJ
amq-160	182	2	line	line	NOUN
amq-160	182	3	:	:	PUNCT
amq-160	182	4	mean	mean	ADJ
amq-160	182	5	values	value	NOUN
amq-160	182	6	.	.	PUNCT
amq-160	183	1	g	g	NOUN
amq-160	183	2	)	)	PUNCT
amq-160	183	3	lof	lof	PROPN
amq-160	183	4	values	value	NOUN
amq-160	183	5	(	(	PUNCT
amq-160	183	6	see	see	VERB
amq-160	183	7	di	di	X
amq-160	183	8	donato	donato	NOUN
amq-160	183	9	et	et	PROPN
amq-160	183	10	al	al	PROPN
amq-160	183	11	.	.	PROPN
amq-160	183	12	,	,	PUNCT
amq-160	183	13	2018	2018	NUM
amq-160	183	14	)	)	PUNCT
amq-160	183	15	h	h	NOUN
amq-160	183	16	)	)	PUNCT
amq-160	183	17	atypicality	atypicality	NOUN
amq-160	183	18	index	index	NOUN
amq-160	183	19	:	:	PUNCT
amq-160	183	20	0	0	NUM
amq-160	183	21	:	:	PUNCT
amq-160	183	22	not	not	PART
amq-160	183	23	significant	significant	ADJ
amq-160	183	24	;	;	PUNCT
amq-160	183	25	1	1	NUM
amq-160	183	26	:	:	PUNCT
amq-160	183	27	significant	significant	ADJ
amq-160	183	28	.	.	PUNCT
amq-160	184	1	di	di	NOUN
amq-160	184	2	donato	donato	PROPN
amq-160	184	3	v.	v.	ADP
amq-160	184	4	et	et	PROPN
amq-160	184	5	al	al	PROPN
amq-160	184	6	.	.	PROPN
amq-160	184	7	37	37	NUM
amq-160	184	8	coda	coda	ADJ
amq-160	184	9	regression	regression	NOUN
amq-160	184	10	-	-	PUNCT
amq-160	184	11	based	base	VERB
amq-160	184	12	sst	sst	NOUN
amq-160	184	13	reconstruction	reconstruction	NOUN
amq-160	184	14	was	be	AUX
amq-160	184	15	found	find	VERB
amq-160	184	16	for	for	ADP
amq-160	184	17	several	several	ADJ
amq-160	184	18	planktonic	planktonic	ADJ
amq-160	184	19	foraminiferal	foraminiferal	ADJ
amq-160	184	20	assemblages	assemblage	NOUN
amq-160	184	21	of	of	ADP
amq-160	184	22	the	the	DET
amq-160	184	23	core	core	NOUN
amq-160	184	24	gns84	gns84	NOUN
amq-160	184	25	-	-	PUNCT
amq-160	184	26	c106	c106	PROPN
amq-160	184	27	.	.	PUNCT
amq-160	185	1	as	as	ADP
amq-160	185	2	in	in	ADP
amq-160	185	3	the	the	DET
amq-160	185	4	previous	previous	ADJ
amq-160	185	5	case	case	NOUN
amq-160	185	6	study	study	NOUN
amq-160	185	7	,	,	PUNCT
amq-160	185	8	coda	coda	NOUN
amq-160	185	9	-	-	PUNCT
amq-160	185	10	plsr	plsr	NOUN
amq-160	185	11	and	and	CCONJ
amq-160	185	12	coda	coda	NOUN
amq-160	185	13	-	-	PUNCT
amq-160	185	14	pcr	pcr	NOUN
amq-160	185	15	provide	provide	VERB
amq-160	185	16	quite	quite	ADV
amq-160	185	17	similar	similar	ADJ
amq-160	185	18	results	result	NOUN
amq-160	185	19	.	.	PUNCT
amq-160	186	1	for	for	ADP
amq-160	186	2	this	this	DET
amq-160	186	3	core	core	NOUN
amq-160	186	4	,	,	PUNCT
amq-160	186	5	however	however	ADV
amq-160	186	6	,	,	PUNCT
amq-160	186	7	within	within	ADP
amq-160	186	8	the	the	DET
amq-160	186	9	same	same	ADJ
amq-160	186	10	general	general	ADJ
amq-160	186	11	trend	trend	NOUN
amq-160	186	12	,	,	PUNCT
amq-160	186	13	regression	regression	NOUN
amq-160	186	14	-	-	PUNCT
amq-160	186	15	based	base	VERB
amq-160	186	16	methods	method	NOUN
amq-160	186	17	and	and	CCONJ
amq-160	186	18	codamat	codamat	NOUN
amq-160	186	19	provide	provide	VERB
amq-160	186	20	quite	quite	ADV
amq-160	186	21	different	different	ADJ
amq-160	186	22	results	result	NOUN
amq-160	186	23	.	.	PUNCT
amq-160	187	1	in	in	ADP
amq-160	187	2	this	this	DET
amq-160	187	3	case	case	NOUN
amq-160	187	4	study	study	NOUN
amq-160	187	5	,	,	PUNCT
amq-160	187	6	raw	raw	ADJ
amq-160	187	7	percentage	percentage	NOUN
amq-160	187	8	data	datum	NOUN
amq-160	187	9	mat	mat	NOUN
amq-160	187	10	and	and	CCONJ
amq-160	187	11	,	,	PUNCT
amq-160	187	12	to	to	ADP
amq-160	187	13	a	a	DET
amq-160	187	14	lesser	less	ADJ
amq-160	187	15	degree	degree	NOUN
amq-160	187	16	,	,	PUNCT
amq-160	187	17	coda	coda	NOUN
amq-160	187	18	-	-	PUNCT
amq-160	187	19	mat	mat	NOUN
amq-160	187	20	provided	provide	VERB
amq-160	187	21	summer	summer	NOUN
amq-160	187	22	sst	sst	NOUN
amq-160	187	23	which	which	PRON
amq-160	187	24	seem	seem	VERB
amq-160	187	25	quite	quite	ADV
amq-160	187	26	high	high	ADJ
amq-160	187	27	for	for	ADP
amq-160	187	28	the	the	DET
amq-160	187	29	gi-1	gi-1	CCONJ
amq-160	187	30	interval	interval	NOUN
amq-160	187	31	and	and	CCONJ
amq-160	187	32	for	for	ADP
amq-160	187	33	time	time	NOUN
amq-160	187	34	intervals	interval	NOUN
amq-160	187	35	of	of	ADP
amq-160	187	36	the	the	DET
amq-160	187	37	last	last	ADJ
amq-160	187	38	glacial	glacial	ADJ
amq-160	187	39	period	period	NOUN
amq-160	187	40	centred	centre	VERB
amq-160	187	41	around	around	ADP
amq-160	187	42	24	24	NUM
amq-160	187	43	and	and	CCONJ
amq-160	187	44	20	20	NUM
amq-160	187	45	ka	ka	PROPN
amq-160	187	46	bp	bp	PROPN
amq-160	187	47	.	.	PUNCT
amq-160	188	1	this	this	DET
amq-160	188	2	problem	problem	NOUN
amq-160	188	3	is	be	AUX
amq-160	188	4	likely	likely	ADV
amq-160	188	5	partly	partly	ADV
amq-160	188	6	related	relate	VERB
amq-160	188	7	to	to	ADP
amq-160	188	8	the	the	DET
amq-160	188	9	adopted	adopt	VERB
amq-160	188	10	size	size	NOUN
amq-160	188	11	fraction	fraction	NOUN
amq-160	188	12	(	(	PUNCT
amq-160	188	13	di	di	NOUN
amq-160	188	14	donato	donato	NOUN
amq-160	188	15	et	et	PROPN
amq-160	188	16	al	al	PROPN
amq-160	188	17	.	.	PROPN
amq-160	188	18	,	,	PUNCT
amq-160	188	19	2015	2015	NUM
amq-160	188	20	)	)	PUNCT
amq-160	188	21	.	.	PUNCT
amq-160	189	1	regression	regression	NOUN
amq-160	189	2	based	base	VERB
amq-160	189	3	methods	method	NOUN
amq-160	189	4	seem	seem	VERB
amq-160	189	5	to	to	PART
amq-160	189	6	provide	provide	VERB
amq-160	189	7	a	a	DET
amq-160	189	8	more	more	ADV
amq-160	189	9	coherent	coherent	ADJ
amq-160	189	10	sst	sst	NOUN
amq-160	189	11	trend	trend	NOUN
amq-160	189	12	,	,	PUNCT
amq-160	189	13	i.e.	i.e.	X
amq-160	189	14	last	last	ADJ
amq-160	189	15	glacial	glacial	ADJ
amq-160	189	16	period	period	NOUN
amq-160	189	17	lower	low	ADJ
amq-160	189	18	than	than	ADP
amq-160	189	19	holocene	holocene	PROPN
amq-160	189	20	,	,	PUNCT
amq-160	189	21	and	and	CCONJ
amq-160	189	22	intermediate	intermediate	ADJ
amq-160	189	23	sst	sst	NOUN
amq-160	189	24	values	value	NOUN
amq-160	189	25	during	during	ADP
amq-160	189	26	the	the	DET
amq-160	189	27	late	late	ADJ
amq-160	189	28	glacial	glacial	NOUN
amq-160	189	29	.	.	PUNCT
amq-160	190	1	however	however	ADV
amq-160	190	2	,	,	PUNCT
amq-160	190	3	it	it	PRON
amq-160	190	4	can	can	AUX
amq-160	190	5	be	be	AUX
amq-160	190	6	noted	note	VERB
amq-160	190	7	that	that	SCONJ
amq-160	190	8	coda	coda	NOUN
amq-160	190	9	-	-	PUNCT
amq-160	190	10	plsr	plsr	NOUN
amq-160	190	11	and	and	CCONJ
amq-160	190	12	coda	coda	NOUN
amq-160	190	13	-	-	PUNCT
amq-160	190	14	pcr	pcr	NOUN
amq-160	190	15	provide	provide	VERB
amq-160	190	16	higher	high	ADJ
amq-160	190	17	sst	sst	NOUN
amq-160	190	18	estimates	estimate	NOUN
amq-160	190	19	for	for	ADP
amq-160	190	20	the	the	DET
amq-160	190	21	colder	cold	ADJ
amq-160	190	22	intervals	interval	NOUN
amq-160	190	23	of	of	ADP
amq-160	190	24	the	the	DET
amq-160	190	25	glacial	glacial	ADJ
amq-160	190	26	peri	peri	NOUN
amq-160	190	27	38	38	NUM
amq-160	190	28	od	od	NOUN
amq-160	190	29	.	.	PUNCT
amq-160	191	1	as	as	ADP
amq-160	191	2	an	an	DET
amq-160	191	3	example	example	NOUN
amq-160	191	4	,	,	PUNCT
amq-160	191	5	between	between	ADP
amq-160	191	6	15	15	NUM
amq-160	191	7	and	and	CCONJ
amq-160	191	8	17	17	NUM
amq-160	191	9	ka	ka	PROPN
amq-160	191	10	bp	bp	PROPN
amq-160	191	11	,	,	PUNCT
amq-160	191	12	codamat	codamat	NOUN
amq-160	191	13	reconstruct	reconstruct	NOUN
amq-160	191	14	winter	winter	NOUN
amq-160	191	15	sst	sst	NOUN
amq-160	191	16	of	of	ADP
amq-160	191	17	even	even	ADV
amq-160	191	18	8.5	8.5	NUM
amq-160	191	19	°	°	NOUN
amq-160	191	20	c	c	NOUN
amq-160	191	21	,	,	PUNCT
amq-160	191	22	while	while	SCONJ
amq-160	191	23	coda	coda	ADJ
amq-160	191	24	-plsr	-plsr	NOUN
amq-160	191	25	and	and	CCONJ
amq-160	191	26	coda	coda	NOUN
amq-160	191	27	-	-	PUNCT
amq-160	191	28	pcr	pcr	NOUN
amq-160	191	29	indicate	indicate	VERB
amq-160	191	30	lower	low	ADJ
amq-160	191	31	values	value	NOUN
amq-160	191	32	of	of	ADP
amq-160	191	33	about	about	ADV
amq-160	191	34	10	10	NUM
amq-160	191	35	°	°	NOUN
amq-160	191	36	c	c	NOUN
amq-160	191	37	.	.	PUNCT
amq-160	192	1	for	for	ADP
amq-160	192	2	this	this	DET
amq-160	192	3	core	core	NOUN
amq-160	192	4	,	,	PUNCT
amq-160	192	5	we	we	PRON
amq-160	192	6	do	do	AUX
amq-160	192	7	not	not	PART
amq-160	192	8	have	have	VERB
amq-160	192	9	,	,	PUNCT
amq-160	192	10	at	at	ADP
amq-160	192	11	present	present	ADJ
amq-160	192	12	alternative	alternative	ADJ
amq-160	192	13	proxy	proxy	NOUN
amq-160	192	14	-	-	PUNCT
amq-160	192	15	based	base	VERB
amq-160	192	16	reconstructions	reconstruction	NOUN
amq-160	192	17	.	.	PUNCT
amq-160	193	1	however	however	ADV
amq-160	193	2	,	,	PUNCT
amq-160	193	3	the	the	DET
amq-160	193	4	regression	regression	NOUN
amq-160	193	5	based	base	VERB
amq-160	193	6	reconstructed	reconstructed	ADJ
amq-160	193	7	ssts	sst	NOUN
amq-160	193	8	seem	seem	VERB
amq-160	193	9	more	more	ADV
amq-160	193	10	coherent	coherent	ADJ
amq-160	193	11	with	with	ADP
amq-160	193	12	alkenone	alkenone	NOUN
amq-160	193	13	-	-	PUNCT
amq-160	193	14	based	base	VERB
amq-160	193	15	reconstructions	reconstruction	NOUN
amq-160	193	16	obtained	obtain	VERB
amq-160	193	17	for	for	ADP
amq-160	193	18	the	the	DET
amq-160	193	19	southern	southern	ADJ
amq-160	193	20	tyrrhenian	tyrrhenian	ADJ
amq-160	193	21	sea	sea	NOUN
amq-160	193	22	(	(	PUNCT
amq-160	193	23	sbaffi	sbaffi	PROPN
amq-160	193	24	et	et	PROPN
amq-160	193	25	al	al	PROPN
amq-160	193	26	,	,	PUNCT
amq-160	193	27	2001	2001	NUM
amq-160	193	28	)	)	PUNCT
amq-160	193	29	,	,	PUNCT
amq-160	193	30	which	which	PRON
amq-160	193	31	provided	provide	VERB
amq-160	193	32	higher	high	ADJ
amq-160	193	33	sst	sst	NOUN
amq-160	193	34	values	value	NOUN
amq-160	193	35	if	if	SCONJ
amq-160	193	36	compared	compare	VERB
amq-160	193	37	with	with	ADP
amq-160	193	38	the	the	DET
amq-160	193	39	mat	mat	NOUN
amq-160	193	40	reconstructions	reconstruction	NOUN
amq-160	193	41	.	.	PUNCT
amq-160	194	1	during	during	ADP
amq-160	194	2	the	the	DET
amq-160	194	3	holocene	holocene	NOUN
amq-160	194	4	,	,	PUNCT
amq-160	194	5	coda	coda	NOUN
amq-160	194	6	-	-	PUNCT
amq-160	194	7	mat	mat	NOUN
amq-160	194	8	,	,	PUNCT
amq-160	194	9	coda	coda	NOUN
amq-160	194	10	-	-	PUNCT
amq-160	194	11	plsr	plsr	NOUN
amq-160	194	12	and	and	CCONJ
amq-160	194	13	coda	coda	NOUN
amq-160	194	14	-	-	PUNCT
amq-160	194	15	pcr	pcr	NOUN
amq-160	194	16	indicate	indicate	VERB
amq-160	194	17	an	an	DET
amq-160	194	18	sst	sst	NOUN
amq-160	194	19	rise	rise	VERB
amq-160	194	20	around	around	ADP
amq-160	194	21	5	5	NUM
amq-160	194	22	ka	ka	PROPN
amq-160	194	23	bp	bp	PROPN
amq-160	194	24	.	.	PUNCT
amq-160	195	1	however	however	ADV
amq-160	195	2	,	,	PUNCT
amq-160	195	3	coda	coda	NOUN
amq-160	195	4	-	-	PUNCT
amq-160	195	5	plsr	plsr	NOUN
amq-160	195	6	and	and	CCONJ
amq-160	195	7	coda	coda	NOUN
amq-160	195	8	-	-	PUNCT
amq-160	195	9	pcr	pcr	NOUN
amq-160	195	10	indicate	indicate	VERB
amq-160	195	11	warmer	warm	ADJ
amq-160	195	12	than	than	ADP
amq-160	195	13	present	present	ADJ
amq-160	195	14	sst	sst	NOUN
amq-160	195	15	for	for	ADP
amq-160	195	16	an	an	DET
amq-160	195	17	interval	interval	NOUN
amq-160	195	18	centred	centre	VERB
amq-160	195	19	around	around	ADP
amq-160	195	20	4	4	NUM
amq-160	195	21	to	to	PART
amq-160	195	22	3	3	NUM
amq-160	195	23	ka	ka	PROPN
amq-160	195	24	bp	bp	PROPN
amq-160	195	25	,	,	PUNCT
amq-160	195	26	which	which	PRON
amq-160	195	27	coincides	coincide	VERB
amq-160	195	28	with	with	ADP
amq-160	195	29	a	a	DET
amq-160	195	30	peak	peak	NOUN
amq-160	195	31	in	in	ADP
amq-160	195	32	the	the	DET
amq-160	195	33	warm	warm	ADJ
amq-160	195	34	species	specie	NOUN
amq-160	195	35	globigerinoides	globigerinoide	NOUN
amq-160	195	36	sacculifer	sacculifer	VERB
amq-160	195	37	widely	widely	ADV
amq-160	195	38	recognized	recognize	VERB
amq-160	195	39	in	in	ADP
amq-160	195	40	the	the	DET
amq-160	195	41	mediterranean	mediterranean	PROPN
amq-160	195	42	sea	sea	PROPN
amq-160	195	43	(	(	PUNCT
amq-160	195	44	capotondi	capotondi	NOUN
amq-160	195	45	et	et	PROPN
amq-160	195	46	al	al	PROPN
amq-160	195	47	.	.	PROPN
amq-160	195	48	,	,	PUNCT
amq-160	195	49	1999	1999	NUM
amq-160	195	50	;	;	PUNCT
amq-160	195	51	among	among	ADP
amq-160	195	52	others	other	NOUN
amq-160	195	53	)	)	PUNCT
amq-160	195	54	and	and	CCONJ
amq-160	195	55	a	a	DET
amq-160	195	56	decreasing	decrease	VERB
amq-160	195	57	trend	trend	NOUN
amq-160	195	58	afterwards	afterwards	ADV
amq-160	195	59	.	.	PUNCT
amq-160	196	1	this	this	DET
amq-160	196	2	trend	trend	NOUN
amq-160	196	3	is	be	AUX
amq-160	196	4	fig	fig	NOUN
amq-160	196	5	.	.	PUNCT
amq-160	197	1	8	8	NUM
amq-160	197	2	reconstruction	reconstruction	NOUN
amq-160	197	3	of	of	ADP
amq-160	197	4	seasonal	seasonal	ADJ
amq-160	197	5	sst	sst	NOUN
amq-160	197	6	obtained	obtain	VERB
amq-160	197	7	from	from	ADP
amq-160	197	8	gns84	gns84	PROPN
amq-160	197	9	-	-	PUNCT
amq-160	197	10	c106	c106	PROPN
amq-160	197	11	core	core	NOUN
amq-160	197	12	.	.	PUNCT
amq-160	198	1	a	a	DET
amq-160	198	2	)	)	PUNCT
amq-160	198	3	summer	summer	NOUN
amq-160	198	4	b	b	NOUN
amq-160	198	5	)	)	PUNCT
amq-160	198	6	winter	winter	NOUN
amq-160	198	7	.	.	PUNCT
amq-160	199	1	the	the	DET
amq-160	199	2	grey	grey	PROPN
amq-160	199	3	error	error	NOUN
amq-160	199	4	bars	bar	NOUN
amq-160	199	5	indicate	indicate	VERB
amq-160	199	6	the	the	DET
amq-160	199	7	standard	standard	ADJ
amq-160	199	8	deviation	deviation	NOUN
amq-160	199	9	of	of	ADP
amq-160	199	10	each	each	DET
amq-160	199	11	reconstructed	reconstructed	ADJ
amq-160	199	12	value	value	NOUN
amq-160	199	13	.	.	PUNCT
amq-160	200	1	c	c	X
amq-160	200	2	)	)	PUNCT
amq-160	200	3	lof	lof	PROPN
amq-160	200	4	values	value	NOUN
amq-160	200	5	e	e	NOUN
amq-160	200	6	)	)	PUNCT
amq-160	200	7	atypicality	atypicality	NOUN
amq-160	200	8	index	index	NOUN
amq-160	200	9	:	:	PUNCT
amq-160	200	10	0	0	NUM
amq-160	200	11	:	:	PUNCT
amq-160	200	12	not	not	PART
amq-160	200	13	significant	significant	ADJ
amq-160	200	14	;	;	PUNCT
amq-160	200	15	1	1	NUM
amq-160	200	16	:	:	PUNCT
amq-160	200	17	significant	significant	ADJ
amq-160	200	18	.	.	PUNCT
amq-160	201	1	the	the	DET
amq-160	201	2	intimate	intimate	ADJ
amq-160	201	3	greenland	greenland	PROPN
amq-160	201	4	event	event	NOUN
amq-160	201	5	stratigraphy	stratigraphy	NOUN
amq-160	201	6	is	be	AUX
amq-160	201	7	reported	report	VERB
amq-160	201	8	from	from	ADP
amq-160	201	9	rasmussen	rasmussen	PROPN
amq-160	201	10	et	et	PROPN
amq-160	201	11	al	al	PROPN
amq-160	201	12	.	.	PROPN
amq-160	202	1	(	(	PUNCT
amq-160	202	2	2014	2014	NUM
amq-160	202	3	)	)	PUNCT
amq-160	202	4	.	.	PUNCT
amq-160	203	1	di	di	PROPN
amq-160	203	2	donato	donato	PROPN
amq-160	203	3	v.	v.	ADP
amq-160	203	4	et	et	PROPN
amq-160	203	5	al	al	PROPN
amq-160	203	6	.	.	PUNCT
amq-160	204	1	quite	quite	ADV
amq-160	204	2	similar	similar	ADJ
amq-160	204	3	to	to	ADP
amq-160	204	4	the	the	DET
amq-160	204	5	alkenones	alkenone	NOUN
amq-160	204	6	record	record	NOUN
amq-160	204	7	of	of	ADP
amq-160	204	8	the	the	DET
amq-160	204	9	core	core	NOUN
amq-160	204	10	bs7938	bs7938	NOUN
amq-160	204	11	recovered	recover	VERB
amq-160	204	12	in	in	ADP
amq-160	204	13	the	the	DET
amq-160	204	14	southern	southern	ADJ
amq-160	204	15	tyrrhenian	tyrrhenian	ADJ
amq-160	204	16	sea	sea	NOUN
amq-160	204	17	(	(	PUNCT
amq-160	204	18	sbaffi	sbaffi	PROPN
amq-160	204	19	et	et	PROPN
amq-160	204	20	al	al	PROPN
amq-160	204	21	,	,	PUNCT
amq-160	204	22	2001	2001	NUM
amq-160	204	23	)	)	PUNCT
amq-160	204	24	.	.	PUNCT
amq-160	205	1	however	however	ADV
amq-160	205	2	,	,	PUNCT
amq-160	205	3	alkenones	alkenone	NOUN
amq-160	205	4	provided	provide	VERB
amq-160	205	5	higher	high	ADJ
amq-160	205	6	than	than	ADP
amq-160	205	7	present	present	ADJ
amq-160	205	8	sst	sst	NOUN
amq-160	205	9	values	value	NOUN
amq-160	205	10	for	for	ADP
amq-160	205	11	the	the	DET
amq-160	205	12	early	early	ADJ
amq-160	205	13	to	to	ADP
amq-160	205	14	middle	middle	PROPN
amq-160	205	15	holocene	holocene	PROPN
amq-160	205	16	which	which	PRON
amq-160	205	17	are	be	AUX
amq-160	205	18	not	not	PART
amq-160	205	19	confirmed	confirm	VERB
amq-160	205	20	by	by	ADP
amq-160	205	21	planktonic	planktonic	ADJ
amq-160	205	22	foraminifera	foraminifera	NOUN
amq-160	205	23	.	.	PUNCT
amq-160	206	1	4	4	X
amq-160	206	2	.	.	X
amq-160	206	3	conclusive	conclusive	ADJ
amq-160	206	4	remarks	remark	NOUN
amq-160	206	5	following	follow	VERB
amq-160	206	6	out	out	ADP
amq-160	206	7	previous	previous	ADJ
amq-160	206	8	paper	paper	NOUN
amq-160	206	9	focused	focus	VERB
amq-160	206	10	on	on	ADP
amq-160	206	11	coda	coda	NOUN
amq-160	206	12	and	and	CCONJ
amq-160	206	13	modern	modern	ADJ
amq-160	206	14	analogue	analogue	NOUN
amq-160	206	15	technique	technique	NOUN
amq-160	206	16	,	,	PUNCT
amq-160	206	17	in	in	ADP
amq-160	206	18	this	this	DET
amq-160	206	19	article	article	NOUN
amq-160	206	20	we	we	PRON
amq-160	206	21	developed	develop	VERB
amq-160	206	22	a	a	DET
amq-160	206	23	transfer	transfer	NOUN
amq-160	206	24	function	function	NOUN
amq-160	206	25	based	base	VERB
amq-160	206	26	on	on	ADP
amq-160	206	27	multivariate	multivariate	NOUN
amq-160	206	28	regression	regression	NOUN
amq-160	206	29	methods	method	NOUN
amq-160	206	30	in	in	ADP
amq-160	206	31	a	a	DET
amq-160	206	32	fashion	fashion	NOUN
amq-160	206	33	coherent	coherent	NOUN
amq-160	206	34	with	with	ADP
amq-160	206	35	a	a	DET
amq-160	206	36	coda	coda	ADJ
amq-160	206	37	approach	approach	NOUN
amq-160	206	38	.	.	PUNCT
amq-160	207	1	the	the	DET
amq-160	207	2	main	main	ADJ
amq-160	207	3	advantages	advantage	NOUN
amq-160	207	4	of	of	ADP
amq-160	207	5	coda	coda	NOUN
amq-160	207	6	-	-	PUNCT
amq-160	207	7	mat	mat	NOUN
amq-160	207	8	,	,	PUNCT
amq-160	207	9	being	be	AUX
amq-160	207	10	a	a	DET
amq-160	207	11	non	non	ADJ
amq-160	207	12	-	-	ADJ
amq-160	207	13	parametric	parametric	ADJ
amq-160	207	14	method	method	NOUN
amq-160	207	15	(	(	PUNCT
amq-160	207	16	guiot	guiot	NOUN
amq-160	207	17	&	&	CCONJ
amq-160	207	18	de	de	X
amq-160	207	19	vernal	vernal	ADJ
amq-160	207	20	,	,	PUNCT
amq-160	207	21	2011a;b	2011a;b	NUM
amq-160	207	22	)	)	PUNCT
amq-160	207	23	,	,	PUNCT
amq-160	207	24	is	be	AUX
amq-160	207	25	its	its	PRON
amq-160	207	26	flexibility	flexibility	NOUN
amq-160	207	27	and	and	CCONJ
amq-160	207	28	the	the	DET
amq-160	207	29	fact	fact	NOUN
amq-160	207	30	that	that	SCONJ
amq-160	207	31	the	the	DET
amq-160	207	32	quality	quality	NOUN
amq-160	207	33	of	of	ADP
amq-160	207	34	each	each	DET
amq-160	207	35	single	single	ADJ
amq-160	207	36	reconstruction	reconstruction	NOUN
amq-160	207	37	can	can	AUX
amq-160	207	38	be	be	AUX
amq-160	207	39	evaluated	evaluate	VERB
amq-160	207	40	by	by	ADP
amq-160	207	41	means	mean	VERB
amq-160	207	42	local	local	ADJ
amq-160	207	43	outlier	outlier	NOUN
amq-160	207	44	factor	factor	NOUN
amq-160	207	45	and	and	CCONJ
amq-160	207	46	mean	mean	ADJ
amq-160	207	47	distances	distance	NOUN
amq-160	207	48	.	.	PUNCT
amq-160	208	1	by	by	ADP
amq-160	208	2	contrast	contrast	NOUN
amq-160	208	3	,	,	PUNCT
amq-160	208	4	once	once	SCONJ
amq-160	208	5	the	the	DET
amq-160	208	6	model	model	NOUN
amq-160	208	7	has	have	AUX
amq-160	208	8	been	be	AUX
amq-160	208	9	built	build	VERB
amq-160	208	10	,	,	PUNCT
amq-160	208	11	we	we	PRON
amq-160	208	12	must	must	AUX
amq-160	208	13	accept	accept	VERB
amq-160	208	14	the	the	DET
amq-160	208	15	reconstructed	reconstructed	ADJ
amq-160	208	16	sst	sst	NOUN
amq-160	208	17	“	"	PUNCT
amq-160	208	18	as	as	SCONJ
amq-160	208	19	they	they	PRON
amq-160	208	20	are	be	AUX
amq-160	208	21	”	"	PUNCT
amq-160	208	22	.	.	PUNCT
amq-160	209	1	likely	likely	ADJ
amq-160	209	2	,	,	PUNCT
amq-160	209	3	coda	coda	NOUN
amq-160	209	4	-	-	PUNCT
amq-160	209	5	plsr	plsr	NOUN
amq-160	209	6	might	might	AUX
amq-160	209	7	be	be	AUX
amq-160	209	8	more	more	ADV
amq-160	209	9	sensitive	sensitive	ADJ
amq-160	209	10	than	than	ADP
amq-160	209	11	coda	coda	NOUN
amq-160	209	12	-	-	PUNCT
amq-160	209	13	mat	mat	NOUN
amq-160	209	14	to	to	ADP
amq-160	209	15	random	random	ADJ
amq-160	209	16	effects	effect	NOUN
amq-160	209	17	,	,	PUNCT
amq-160	209	18	since	since	SCONJ
amq-160	209	19	limited	limited	ADJ
amq-160	209	20	random	random	ADJ
amq-160	209	21	effects	effect	NOUN
amq-160	209	22	should	should	AUX
amq-160	209	23	not	not	PART
amq-160	209	24	strongly	strongly	ADV
amq-160	209	25	influence	influence	VERB
amq-160	209	26	the	the	DET
amq-160	209	27	choice	choice	NOUN
amq-160	209	28	of	of	ADP
amq-160	209	29	the	the	DET
amq-160	209	30	best	good	ADJ
amq-160	209	31	modern	modern	ADJ
amq-160	209	32	analogs	analog	NOUN
amq-160	209	33	for	for	ADP
amq-160	209	34	a	a	DET
amq-160	209	35	fossil	fossil	NOUN
amq-160	209	36	assemblage	assemblage	NOUN
amq-160	209	37	.	.	PUNCT
amq-160	210	1	however	however	ADV
amq-160	210	2	,	,	PUNCT
amq-160	210	3	coda	coda	NOUN
amq-160	210	4	-	-	PUNCT
amq-160	210	5	plsr	plsr	NOUN
amq-160	210	6	and	and	CCONJ
amq-160	210	7	coda	coda	NOUN
amq-160	210	8	-	-	PUNCT
amq-160	210	9	pcr	pcr	NOUN
amq-160	210	10	,	,	PUNCT
amq-160	210	11	may	may	AUX
amq-160	210	12	be	be	AUX
amq-160	210	13	more	more	ADV
amq-160	210	14	robust	robust	ADJ
amq-160	210	15	with	with	ADP
amq-160	210	16	respect	respect	NOUN
amq-160	210	17	to	to	ADP
amq-160	210	18	treatment	treatment	NOUN
amq-160	210	19	changes	change	NOUN
amq-160	210	20	such	such	ADJ
amq-160	210	21	as	as	ADP
amq-160	210	22	the	the	DET
amq-160	210	23	size	size	NOUN
amq-160	210	24	fraction	fraction	NOUN
amq-160	210	25	adopted	adopt	VERB
amq-160	210	26	for	for	ADP
amq-160	210	27	the	the	DET
amq-160	210	28	analysis	analysis	NOUN
amq-160	210	29	,	,	PUNCT
amq-160	210	30	which	which	PRON
amq-160	210	31	represent	represent	VERB
amq-160	210	32	a	a	DET
amq-160	210	33	critical	critical	ADJ
amq-160	210	34	point	point	NOUN
amq-160	210	35	in	in	ADP
amq-160	210	36	the	the	DET
amq-160	210	37	analysis	analysis	NOUN
amq-160	210	38	of	of	ADP
amq-160	210	39	foraminifera	foraminifera	NOUN
amq-160	210	40	assemblages	assemblage	NOUN
amq-160	210	41	.	.	PUNCT
amq-160	211	1	whatever	whatever	PRON
amq-160	211	2	the	the	DET
amq-160	211	3	approach	approach	NOUN
amq-160	211	4	,	,	PUNCT
amq-160	211	5	it	it	PRON
amq-160	211	6	is	be	AUX
amq-160	211	7	important	important	ADJ
amq-160	211	8	to	to	PART
amq-160	211	9	evaluate	evaluate	VERB
amq-160	211	10	the	the	DET
amq-160	211	11	atypicality	atypicality	NOUN
amq-160	211	12	of	of	ADP
amq-160	211	13	the	the	DET
amq-160	211	14	fossil	fossil	NOUN
amq-160	211	15	assemblages	assemblage	NOUN
amq-160	211	16	in	in	ADP
amq-160	211	17	comparison	comparison	NOUN
amq-160	211	18	with	with	ADP
amq-160	211	19	modern	modern	ADJ
amq-160	211	20	ones	one	NOUN
amq-160	211	21	.	.	PUNCT
amq-160	212	1	in	in	ADP
amq-160	212	2	this	this	DET
amq-160	212	3	article	article	NOUN
amq-160	212	4	we	we	PRON
amq-160	212	5	provided	provide	VERB
amq-160	212	6	application	application	NOUN
amq-160	212	7	examples	example	NOUN
amq-160	212	8	for	for	ADP
amq-160	212	9	an	an	DET
amq-160	212	10	atlantic	atlantic	ADJ
amq-160	212	11	ocean	ocean	NOUN
amq-160	212	12	and	and	CCONJ
amq-160	212	13	a	a	DET
amq-160	212	14	mediterranean	mediterranean	PROPN
amq-160	212	15	sea	sea	NOUN
amq-160	212	16	core	core	NOUN
amq-160	212	17	.	.	PUNCT
amq-160	213	1	coda	coda	NOUN
amq-160	213	2	-	-	PUNCT
amq-160	213	3	mat	mat	NOUN
amq-160	213	4	and	and	CCONJ
amq-160	213	5	regression	regression	NOUN
amq-160	213	6	-	-	PUNCT
amq-160	213	7	based	base	VERB
amq-160	213	8	methods	method	NOUN
amq-160	213	9	seem	seem	VERB
amq-160	213	10	to	to	PART
amq-160	213	11	provide	provide	VERB
amq-160	213	12	quite	quite	ADV
amq-160	213	13	coherent	coherent	ADJ
amq-160	213	14	reconstructions	reconstruction	NOUN
amq-160	213	15	for	for	ADP
amq-160	213	16	the	the	DET
amq-160	213	17	atlantic	atlantic	PROPN
amq-160	213	18	ocean	ocean	NOUN
amq-160	213	19	,	,	PUNCT
amq-160	213	20	while	while	SCONJ
amq-160	213	21	for	for	ADP
amq-160	213	22	the	the	DET
amq-160	213	23	mediterranean	mediterranean	PROPN
amq-160	213	24	sea	sea	PROPN
amq-160	213	25	,	,	PUNCT
amq-160	213	26	the	the	DET
amq-160	213	27	obtained	obtain	VERB
amq-160	213	28	reconstructions	reconstruction	NOUN
amq-160	213	29	are	be	AUX
amq-160	213	30	,	,	PUNCT
amq-160	213	31	as	as	SCONJ
amq-160	213	32	expected	expect	VERB
amq-160	213	33	,	,	PUNCT
amq-160	213	34	more	more	ADV
amq-160	213	35	problematic	problematic	ADJ
amq-160	213	36	.	.	PUNCT
amq-160	214	1	together	together	ADV
amq-160	214	2	with	with	ADP
amq-160	214	3	coda	coda	NOUN
amq-160	214	4	-	-	PUNCT
amq-160	214	5	mat	mat	NOUN
amq-160	214	6	,	,	PUNCT
amq-160	214	7	coda	coda	NOUN
amq-160	214	8	-	-	PUNCT
amq-160	214	9	plsr	plsr	NOUN
amq-160	214	10	and	and	CCONJ
amq-160	214	11	coda	coda	NOUN
amq-160	214	12	-	-	PUNCT
amq-160	214	13	pcr	pcr	NOUN
amq-160	214	14	provide	provide	VERB
amq-160	214	15	the	the	DET
amq-160	214	16	basis	basis	NOUN
amq-160	214	17	for	for	ADP
amq-160	214	18	more	more	ADV
amq-160	214	19	extensive	extensive	ADJ
amq-160	214	20	reconstructions	reconstruction	NOUN
amq-160	214	21	which	which	PRON
amq-160	214	22	will	will	AUX
amq-160	214	23	be	be	AUX
amq-160	214	24	the	the	DET
amq-160	214	25	focus	focus	NOUN
amq-160	214	26	of	of	ADP
amq-160	214	27	future	future	ADJ
amq-160	214	28	investigations	investigation	NOUN
amq-160	214	29	.	.	PUNCT
amq-160	215	1	acknowledgements	acknowledgement	NOUN
amq-160	215	2	we	we	PRON
amq-160	215	3	would	would	AUX
amq-160	215	4	like	like	VERB
amq-160	215	5	to	to	PART
amq-160	215	6	thank	thank	VERB
amq-160	215	7	the	the	DET
amq-160	215	8	two	two	NUM
amq-160	215	9	reviewers	reviewer	NOUN
amq-160	215	10	for	for	ADP
amq-160	215	11	their	their	PRON
amq-160	215	12	careful	careful	ADJ
amq-160	215	13	reading	reading	NOUN
amq-160	215	14	of	of	ADP
amq-160	215	15	the	the	DET
amq-160	215	16	paper	paper	NOUN
amq-160	215	17	and	and	CCONJ
amq-160	215	18	their	their	PRON
amq-160	215	19	helpful	helpful	ADJ
amq-160	215	20	comments	comment	NOUN
amq-160	215	21	and	and	CCONJ
amq-160	215	22	prof	prof	NOUN
amq-160	215	23	.	.	PUNCT
amq-160	216	1	adele	adele	PROPN
amq-160	216	2	bertini	bertini	PROPN
amq-160	216	3	for	for	ADP
amq-160	216	4	her	her	PRON
amq-160	216	5	support	support	NOUN
amq-160	216	6	in	in	ADP
amq-160	216	7	the	the	DET
amq-160	216	8	revision	revision	NOUN
amq-160	216	9	of	of	ADP
amq-160	216	10	the	the	DET
amq-160	216	11	article	article	NOUN
amq-160	216	12	.	.	PUNCT
amq-160	217	1	this	this	DET
amq-160	217	2	work	work	NOUN
amq-160	217	3	has	have	AUX
amq-160	217	4	been	be	AUX
amq-160	217	5	supported	support	VERB
amq-160	217	6	by	by	ADP
amq-160	217	7	the	the	DET
amq-160	217	8	project	project	NOUN
amq-160	217	9	“	"	PUNCT
amq-160	217	10	codamet	codamet	NOUN
amq-160	217	11	”	"	PUNCT
amq-160	217	12	(	(	PUNCT
amq-160	217	13	ministerio	ministerio	PROPN
amq-160	217	14	de	de	X
amq-160	217	15	ciencia	ciencia	PROPN
amq-160	217	16	,	,	PUNCT
amq-160	217	17	innovación	innovación	PROPN
amq-160	217	18	y	y	PROPN
amq-160	217	19	universidades	universidades	PROPN
amq-160	217	20	;	;	PUNCT
amq-160	217	21	ref	ref	NOUN
amq-160	217	22	:	:	PUNCT
amq-160	217	23	rti2018	rti2018	NOUN
amq-160	217	24	-	-	PUNCT
amq-160	217	25	095518	095518	NUM
amq-160	217	26	-	-	PUNCT
amq-160	217	27	b	b	NOUN
amq-160	217	28	-	-	PUNCT
amq-160	217	29	c21	c21	NOUN
amq-160	217	30	)	)	PUNCT
amq-160	217	31	.	.	PUNCT
amq-160	218	1	references	reference	NOUN
amq-160	218	2	aitchison	aitchison	PROPN
amq-160	218	3	j.	j.	PROPN
amq-160	218	4	(	(	PUNCT
amq-160	218	5	1986	1986	NUM
amq-160	218	6	)	)	PUNCT
amq-160	218	7	the	the	DET
amq-160	218	8	statistical	statistical	ADJ
amq-160	218	9	analysis	analysis	NOUN
amq-160	218	10	of	of	ADP
amq-160	218	11	compositional	compositional	ADJ
amq-160	218	12	data	datum	NOUN
amq-160	218	13	.	.	PUNCT
amq-160	219	1	monographs	monograph	NOUN
amq-160	219	2	on	on	ADP
amq-160	219	3	statistics	statistic	NOUN
amq-160	219	4	and	and	CCONJ
amq-160	219	5	applied	apply	VERB
amq-160	219	6	probability	probability	NOUN
amq-160	219	7	.	.	PUNCT
amq-160	220	1	chapman	chapman	PROPN
amq-160	220	2	and	and	CCONJ
amq-160	220	3	hall	hall	PROPN
amq-160	220	4	ltd	ltd	PROPN
amq-160	220	5	.	.	PROPN
amq-160	221	1	(	(	PUNCT
amq-160	221	2	reprinted	reprint	VERB
amq-160	221	3	2003	2003	NUM
amq-160	221	4	with	with	ADP
amq-160	221	5	additional	additional	ADJ
amq-160	221	6	material	material	NOUN
amq-160	221	7	by	by	ADP
amq-160	221	8	the	the	DET
amq-160	221	9	blackburn	blackburn	PROPN
amq-160	221	10	press	press	PROPN
amq-160	221	11	)	)	PUNCT
amq-160	221	12	,	,	PUNCT
amq-160	221	13	london	london	PROPN
amq-160	221	14	(	(	PUNCT
amq-160	221	15	uk	uk	PROPN
amq-160	221	16	)	)	PUNCT
amq-160	221	17	,	,	PUNCT
amq-160	222	1	pp	pp	PROPN
amq-160	222	2	.	.	PUNCT
amq-160	223	1	416	416	X
amq-160	223	2	.	.	PUNCT
amq-160	224	1	antonov	antonov	PROPN
amq-160	224	2	j.i	j.i	PROPN
amq-160	224	3	.	.	PROPN
amq-160	224	4	,	,	PUNCT
amq-160	224	5	seidov	seidov	PROPN
amq-160	224	6	d.	d.	PROPN
amq-160	224	7	,	,	PUNCT
amq-160	224	8	boyer	boyer	PROPN
amq-160	224	9	t.p	t.p	PROPN
amq-160	224	10	.	.	PROPN
amq-160	224	11	,	,	PUNCT
amq-160	224	12	locarnini	locarnini	PROPN
amq-160	224	13	r.a	r.a	PROPN
amq-160	224	14	.	.	PROPN
amq-160	224	15	,	,	PUNCT
amq-160	224	16	mishonov	mishonov	PROPN
amq-160	225	1	a.v	a.v	PROPN
amq-160	225	2	.	.	PROPN
amq-160	225	3	,	,	PUNCT
amq-160	226	1	garcia	garcia	PROPN
amq-160	226	2	h.e	h.e	PROPN
amq-160	226	3	.	.	PROPN
amq-160	226	4	(	(	PUNCT
amq-160	226	5	2010	2010	NUM
amq-160	226	6	)	)	PUNCT
amq-160	226	7	world	world	NOUN
amq-160	226	8	ocean	ocean	PROPN
amq-160	226	9	atlas	atlas	PROPN
amq-160	226	10	2009	2009	NUM
amq-160	226	11	volume	volume	NOUN
amq-160	226	12	2	2	NUM
amq-160	226	13	:	:	PUNCT
amq-160	226	14	salinity	salinity	NOUN
amq-160	226	15	.	.	PUNCT
amq-160	227	1	s.	s.	PROPN
amq-160	227	2	levitus	levitus	PROPN
amq-160	227	3	,	,	PUNCT
amq-160	227	4	ed	ed	PROPN
amq-160	227	5	.	.	PROPN
amq-160	227	6	,	,	PUNCT
amq-160	227	7	noaa	noaa	PROPN
amq-160	227	8	atlas	atlas	PROPN
amq-160	227	9	nesdis	nesdis	PROPN
amq-160	227	10	69	69	NUM
amq-160	227	11	,	,	PUNCT
amq-160	227	12	u.s	u.s	PROPN
amq-160	227	13	.	.	PROPN
amq-160	227	14	government	government	NOUN
amq-160	227	15	printing	printing	NOUN
amq-160	227	16	office	office	NOUN
amq-160	227	17	,	,	PUNCT
amq-160	227	18	washington	washington	PROPN
amq-160	227	19	,	,	PUNCT
amq-160	227	20	d.c	d.c	PROPN
amq-160	227	21	.	.	PROPN
amq-160	227	22	,	,	PUNCT
amq-160	228	1	pp	pp	ADJ
amq-160	228	2	.	.	PUNCT
amq-160	229	1	184	184	NUM
amq-160	229	2	.	.	PUNCT
amq-160	229	3	barceló	barceló	NOUN
amq-160	229	4	-	-	PUNCT
amq-160	229	5	vidal	vidal	PROPN
amq-160	229	6	c.	c.	PROPN
amq-160	229	7	,	,	PUNCT
amq-160	229	8	martín	martín	NOUN
amq-160	229	9	-	-	PUNCT
amq-160	229	10	fernández	fernández	PROPN
amq-160	229	11	j.a	j.a	PROPN
amq-160	229	12	.	.	PROPN
amq-160	230	1	(	(	PUNCT
amq-160	230	2	2016	2016	NUM
amq-160	230	3	)	)	PUNCT
amq-160	230	4	the	the	DET
amq-160	230	5	mathematics	mathematic	NOUN
amq-160	230	6	of	of	ADP
amq-160	230	7	compositional	compositional	ADJ
amq-160	230	8	analysis	analysis	NOUN
amq-160	230	9	.	.	PUNCT
amq-160	231	1	austrian	austrian	ADJ
amq-160	231	2	journal	journal	PROPN
amq-160	231	3	of	of	ADP
amq-160	231	4	statistics	statistic	NOUN
amq-160	231	5	,	,	PUNCT
amq-160	231	6	45(4	45(4	NUM
amq-160	231	7	)	)	PUNCT
amq-160	231	8	,	,	PUNCT
amq-160	231	9	57	57	NUM
amq-160	231	10	-	-	SYM
amq-160	231	11	71	71	NUM
amq-160	231	12	.	.	PUNCT
amq-160	232	1	barrows	barrow	NOUN
amq-160	232	2	t.t	t.t	PROPN
amq-160	232	3	,	,	PUNCT
amq-160	232	4	juggins	juggins	PROPN
amq-160	232	5	s.	s.	PROPN
amq-160	232	6	(	(	PUNCT
amq-160	232	7	2005	2005	NUM
amq-160	232	8	)	)	PUNCT
amq-160	232	9	sea	sea	NOUN
amq-160	232	10	-	-	PUNCT
amq-160	232	11	surface	surface	NOUN
amq-160	232	12	temperatures	temperature	NOUN
amq-160	232	13	around	around	ADP
amq-160	232	14	the	the	DET
amq-160	232	15	australian	australian	ADJ
amq-160	232	16	margin	margin	NOUN
amq-160	232	17	and	and	CCONJ
amq-160	232	18	indian	indian	ADJ
amq-160	232	19	ocean	ocean	NOUN
amq-160	232	20	during	during	ADP
amq-160	232	21	the	the	DET
amq-160	232	22	last	last	ADJ
amq-160	232	23	glacial	glacial	ADJ
amq-160	232	24	maximum	maximum	NOUN
amq-160	232	25	.	.	PUNCT
amq-160	233	1	quaternary	quaternary	ADJ
amq-160	233	2	science	science	NOUN
amq-160	233	3	reviews	review	NOUN
amq-160	233	4	,	,	PUNCT
amq-160	233	5	24	24	NUM
amq-160	233	6	,	,	PUNCT
amq-160	233	7	1017	1017	NUM
amq-160	233	8	-	-	SYM
amq-160	233	9	1047	1047	NUM
amq-160	233	10	.	.	PUNCT
amq-160	234	1	birks	birks	PROPN
amq-160	234	2	h.j.b	h.j.b	ADJ
amq-160	234	3	.	.	PUNCT
amq-160	235	1	(	(	PUNCT
amq-160	235	2	1995	1995	NUM
amq-160	235	3	)	)	PUNCT
amq-160	235	4	quantitative	quantitative	ADJ
amq-160	235	5	palaeoenvironmental	palaeoenvironmental	ADJ
amq-160	235	6	reconstructions	reconstruction	NOUN
amq-160	235	7	.	.	PUNCT
amq-160	236	1	in	in	ADP
amq-160	236	2	:	:	PUNCT
amq-160	236	3	maddy	maddy	NOUN
amq-160	236	4	,	,	PUNCT
amq-160	236	5	d.	d.	PROPN
amq-160	236	6	,	,	PUNCT
amq-160	236	7	brew	brew	VERB
amq-160	236	8	,	,	PUNCT
amq-160	236	9	j.s	j.s	PROPN
amq-160	236	10	.	.	PUNCT
amq-160	237	1	(	(	PUNCT
amq-160	237	2	eds	ed	NOUN
amq-160	237	3	.	.	PUNCT
amq-160	237	4	)	)	PUNCT
amq-160	237	5	,	,	PUNCT
amq-160	237	6	statistical	statistical	ADJ
amq-160	237	7	modelling	modelling	NOUN
amq-160	237	8	of	of	ADP
amq-160	237	9	quaternary	quaternary	ADJ
amq-160	237	10	science	science	NOUN
amq-160	237	11	data	datum	NOUN
amq-160	237	12	.	.	PUNCT
amq-160	238	1	technical	technical	ADJ
amq-160	238	2	guide	guide	PROPN
amq-160	238	3	5	5	NUM
amq-160	238	4	.	.	PUNCT
amq-160	238	5	quaternary	quaternary	ADJ
amq-160	238	6	research	research	NOUN
amq-160	238	7	association	association	PROPN
amq-160	238	8	,	,	PUNCT
amq-160	238	9	cambridge	cambridge	PROPN
amq-160	238	10	,	,	PUNCT
amq-160	238	11	116	116	NUM
amq-160	238	12	-	-	SYM
amq-160	238	13	254	254	NUM
amq-160	238	14	.	.	PUNCT
amq-160	239	1	breunig	breunig	PROPN
amq-160	239	2	m.m	m.m	PROPN
amq-160	239	3	.	.	PROPN
amq-160	239	4	,	,	PUNCT
amq-160	239	5	kriegel	kriegel	PROPN
amq-160	239	6	h.-p	h.-p	PROPN
amq-160	239	7	.	.	PROPN
amq-160	239	8	,	,	PUNCT
amq-160	239	9	ng	ng	PROPN
amq-160	239	10	r.t	r.t	PROPN
amq-160	239	11	.	.	PROPN
amq-160	239	12	,	,	PUNCT
amq-160	239	13	sander	sander	PROPN
amq-160	239	14	j.	j.	PROPN
amq-160	239	15	(	(	PUNCT
amq-160	239	16	2000	2000	NUM
amq-160	239	17	)	)	PUNCT
amq-160	239	18	lof	lof	NOUN
amq-160	239	19	:	:	PUNCT
amq-160	239	20	identifying	identify	VERB
amq-160	239	21	density	density	NOUN
amq-160	239	22	-	-	PUNCT
amq-160	239	23	based	base	VERB
amq-160	239	24	local	local	ADJ
amq-160	239	25	outliers	outlier	NOUN
amq-160	239	26	.	.	PUNCT
amq-160	240	1	in	in	ADP
amq-160	240	2	proceedings	proceeding	NOUN
amq-160	240	3	of	of	ADP
amq-160	240	4	the	the	DET
amq-160	240	5	2000	2000	NUM
amq-160	240	6	acm	acm	PROPN
amq-160	240	7	sigmod	sigmod	PROPN
amq-160	240	8	international	international	ADJ
amq-160	240	9	conference	conference	NOUN
amq-160	240	10	on	on	ADP
amq-160	240	11	management	management	NOUN
amq-160	240	12	of	of	ADP
amq-160	240	13	data	datum	NOUN
amq-160	240	14	(	(	PUNCT
amq-160	240	15	sigmod	sigmod	NOUN
amq-160	240	16	'	'	NUM
amq-160	240	17	00	00	NUM
amq-160	240	18	)	)	PUNCT
amq-160	240	19	.	.	PUNCT
amq-160	241	1	acm	acm	PROPN
amq-160	241	2	,	,	PUNCT
amq-160	241	3	new	new	PROPN
amq-160	241	4	york	york	PROPN
amq-160	241	5	,	,	PUNCT
amq-160	241	6	ny	ny	PROPN
amq-160	241	7	,	,	PUNCT
amq-160	241	8	usa	usa	PROPN
amq-160	241	9	,	,	PUNCT
amq-160	241	10	93	93	NUM
amq-160	241	11	-	-	SYM
amq-160	241	12	104	104	NUM
amq-160	241	13	.	.	PUNCT
amq-160	242	1	doi	doi	NOUN
amq-160	242	2	:	:	PUNCT
amq-160	242	3	10.1145/342009.335388	10.1145/342009.335388	NUM
amq-160	242	4	buccheri	buccheri	ADJ
amq-160	242	5	g.	g.	NOUN
amq-160	242	6	,	,	PUNCT
amq-160	242	7	capretto	capretto	ADJ
amq-160	242	8	g.	g.	PROPN
amq-160	242	9	,	,	PUNCT
amq-160	242	10	di	di	NOUN
amq-160	242	11	donato	donato	PROPN
amq-160	242	12	v.	v.	PROPN
amq-160	242	13	,	,	PUNCT
amq-160	242	14	esposito	esposito	PROPN
amq-160	242	15	p.	p.	PROPN
amq-160	242	16	,	,	PUNCT
amq-160	242	17	ferruzza	ferruzza	PROPN
amq-160	242	18	g.	g.	PROPN
amq-160	242	19	,	,	PUNCT
amq-160	242	20	pescatore	pescatore	PROPN
amq-160	242	21	t.	t.	PROPN
amq-160	242	22	,	,	PUNCT
amq-160	242	23	russo	russo	PROPN
amq-160	242	24	ermolli	ermolli	PROPN
amq-160	242	25	e.	e.	PROPN
amq-160	242	26	,	,	PUNCT
amq-160	242	27	senatore	senatore	PROPN
amq-160	242	28	m.r	m.r	PROPN
amq-160	242	29	.	.	PROPN
amq-160	242	30	,	,	PUNCT
amq-160	242	31	sprovieri	sprovieri	PROPN
amq-160	242	32	m.	m.	PROPN
amq-160	242	33	,	,	PUNCT
amq-160	242	34	bertoldo	bertoldo	NOUN
amq-160	242	35	m.	m.	NOUN
amq-160	242	36	,	,	PUNCT
amq-160	242	37	carella	carella	PROPN
amq-160	242	38	d.	d.	PROPN
amq-160	242	39	,	,	PUNCT
amq-160	242	40	madonna	madonna	PROPN
amq-160	242	41	,	,	PUNCT
amq-160	242	42	g.	g.	PROPN
amq-160	242	43	(	(	PUNCT
amq-160	242	44	2002	2002	NUM
amq-160	242	45	)	)	PUNCT
amq-160	242	46	a	a	DET
amq-160	242	47	high	high	ADJ
amq-160	242	48	resolution	resolution	NOUN
amq-160	242	49	record	record	NOUN
amq-160	242	50	of	of	ADP
amq-160	242	51	the	the	DET
amq-160	242	52	last	last	ADJ
amq-160	242	53	deglaciation	deglaciation	NOUN
amq-160	242	54	in	in	ADP
amq-160	242	55	the	the	DET
amq-160	242	56	southern	southern	PROPN
amq-160	242	57	tyrrhenian	tyrrhenian	PROPN
amq-160	242	58	sea	sea	PROPN
amq-160	242	59	:	:	PUNCT
amq-160	242	60	environmental	environmental	ADJ
amq-160	242	61	and	and	CCONJ
amq-160	242	62	climatic	climatic	ADJ
amq-160	242	63	evolution	evolution	NOUN
amq-160	242	64	.	.	PUNCT
amq-160	243	1	marine	marine	PROPN
amq-160	243	2	geology	geology	NOUN
amq-160	243	3	,	,	PUNCT
amq-160	243	4	186	186	NUM
amq-160	243	5	,	,	PUNCT
amq-160	243	6	447	447	NUM
amq-160	243	7	-	-	SYM
amq-160	243	8	470	470	NUM
amq-160	243	9	.	.	PUNCT
amq-160	244	1	buccianti	buccianti	PROPN
amq-160	244	2	a.	a.	PROPN
amq-160	244	3	,	,	PUNCT
amq-160	244	4	mateu	mateu	NOUN
amq-160	244	5	-	-	PUNCT
amq-160	244	6	figueras	figueras	PROPN
amq-160	244	7	g.	g.	PROPN
amq-160	244	8	,	,	PUNCT
amq-160	244	9	pawlowsky	pawlowsky	NOUN
amq-160	244	10	-	-	PUNCT
amq-160	244	11	glahn	glahn	NOUN
amq-160	244	12	v.	v.	PROPN
amq-160	244	13	(	(	PUNCT
amq-160	244	14	eds	ed	NOUN
amq-160	244	15	.	.	PUNCT
amq-160	244	16	)	)	PUNCT
amq-160	245	1	(	(	PUNCT
amq-160	245	2	2006	2006	NUM
amq-160	245	3	)	)	PUNCT
amq-160	245	4	compositional	compositional	ADJ
amq-160	245	5	data	datum	NOUN
amq-160	245	6	analysis	analysis	NOUN
amq-160	245	7	in	in	ADP
amq-160	245	8	the	the	DET
amq-160	245	9	geosciences	geoscience	NOUN
amq-160	245	10	:	:	PUNCT
amq-160	245	11	from	from	ADP
amq-160	245	12	theory	theory	NOUN
amq-160	245	13	to	to	ADP
amq-160	245	14	practice	practice	VERB
amq-160	245	15	.	.	PUNCT
amq-160	246	1	in	in	ADP
amq-160	246	2	:	:	PUNCT
amq-160	246	3	special	special	ADJ
amq-160	246	4	publications	publication	NOUN
amq-160	246	5	,	,	PUNCT
amq-160	246	6	vol	vol	NOUN
amq-160	246	7	.	.	NOUN
amq-160	246	8	264	264	NUM
amq-160	246	9	.	.	PUNCT
amq-160	246	10	geological	geological	ADJ
amq-160	246	11	society	society	NOUN
amq-160	246	12	,	,	PUNCT
amq-160	246	13	london	london	PROPN
amq-160	246	14	.	.	PUNCT
amq-160	247	1	pp	pp	X
amq-160	247	2	.	.	PUNCT
amq-160	248	1	207	207	NUM
amq-160	248	2	.	.	PUNCT
amq-160	249	1	capotondi	capotondi	PROPN
amq-160	249	2	l.	l.	PROPN
amq-160	249	3	,	,	PUNCT
amq-160	249	4	borsetti	borsetti	PROPN
amq-160	249	5	a.m.	a.m.	ADV
amq-160	249	6	,	,	PUNCT
amq-160	249	7	morigi	morigi	PROPN
amq-160	249	8	c.	c.	PROPN
amq-160	249	9	(	(	PUNCT
amq-160	249	10	1999	1999	NUM
amq-160	249	11	)	)	PUNCT
amq-160	249	12	.	.	PUNCT
amq-160	250	1	foraminiferal	foraminiferal	ADJ
amq-160	250	2	ecozones	ecozone	NOUN
amq-160	250	3	,	,	PUNCT
amq-160	250	4	a	a	DET
amq-160	250	5	high	high	ADJ
amq-160	250	6	resolution	resolution	NOUN
amq-160	250	7	proxy	proxy	NOUN
amq-160	250	8	for	for	ADP
amq-160	250	9	the	the	DET
amq-160	250	10	late	late	ADJ
amq-160	250	11	quaternary	quaternary	ADJ
amq-160	250	12	biochronology	biochronology	NOUN
amq-160	250	13	in	in	ADP
amq-160	250	14	the	the	DET
amq-160	250	15	central	central	PROPN
amq-160	250	16	mediterranean	mediterranean	PROPN
amq-160	250	17	sea	sea	PROPN
amq-160	250	18	.	.	PUNCT
amq-160	250	19	marine	marine	PROPN
amq-160	250	20	geology	geology	NOUN
amq-160	250	21	,	,	PUNCT
amq-160	250	22	153	153	NUM
amq-160	250	23	,	,	PUNCT
amq-160	250	24	253	253	NUM
amq-160	250	25	-	-	SYM
amq-160	250	26	274	274	NUM
amq-160	250	27	.	.	PUNCT
amq-160	251	1	conn	conn	PROPN
amq-160	251	2	p.b	p.b	PROPN
amq-160	251	3	.	.	PROPN
amq-160	251	4	,	,	PUNCT
amq-160	251	5	johnson	johnson	PROPN
amq-160	251	6	d.s	d.s	PROPN
amq-160	251	7	.	.	PROPN
amq-160	251	8	,	,	PUNCT
amq-160	251	9	boveng	boveng	PROPN
amq-160	251	10	p.l	p.l	PROPN
amq-160	251	11	.	.	PROPN
amq-160	252	1	(	(	PUNCT
amq-160	252	2	2015	2015	NUM
amq-160	252	3	)	)	PUNCT
amq-160	252	4	on	on	ADP
amq-160	252	5	extrapolating	extrapolate	VERB
amq-160	252	6	past	past	ADP
amq-160	252	7	the	the	DET
amq-160	252	8	range	range	NOUN
amq-160	252	9	of	of	ADP
amq-160	252	10	observed	observe	VERB
amq-160	252	11	data	datum	NOUN
amq-160	252	12	when	when	SCONJ
amq-160	252	13	making	make	VERB
amq-160	252	14	statistical	statistical	ADJ
amq-160	252	15	predictions	prediction	NOUN
amq-160	252	16	in	in	ADP
amq-160	252	17	ecology	ecology	NOUN
amq-160	252	18	.	.	PUNCT
amq-160	253	1	plos	plos	PROPN
amq-160	253	2	one	one	NUM
amq-160	253	3	10(10	10(10	NUM
amq-160	253	4	):	):	PUNCT
amq-160	253	5	e0141416	e0141416	PROPN
amq-160	253	6	.	.	PUNCT
amq-160	254	1	doi	doi	NOUN
amq-160	254	2	:	:	PUNCT
amq-160	254	3	10.1371	10.1371	NUM
amq-160	254	4	/	/	SYM
amq-160	254	5	journal.pone.0141416	journal.pone.0141416	PROPN
amq-160	254	6	de	de	PROPN
amq-160	254	7	abreu	abreu	PROPN
amq-160	254	8	l.	l.	PROPN
amq-160	254	9	,	,	PUNCT
amq-160	254	10	shackleton	shackleton	PROPN
amq-160	254	11	n.j	n.j	PROPN
amq-160	254	12	.	.	PROPN
amq-160	254	13	,	,	PUNCT
amq-160	254	14	schonfeld	schonfeld	PROPN
amq-160	254	15	j.	j.	PROPN
amq-160	254	16	,	,	PUNCT
amq-160	254	17	hall	hall	PROPN
amq-160	254	18	m.	m.	NOUN
amq-160	254	19	,	,	PUNCT
amq-160	254	20	chapman	chapman	NOUN
amq-160	254	21	m.	m.	NOUN
amq-160	254	22	(	(	PUNCT
amq-160	254	23	2003	2003	NUM
amq-160	254	24	)	)	PUNCT
amq-160	254	25	millennial	millennial	ADJ
amq-160	254	26	-	-	PUNCT
amq-160	254	27	scale	scale	NOUN
amq-160	254	28	oceanic	oceanic	ADJ
amq-160	254	29	climate	climate	NOUN
amq-160	254	30	variability	variability	NOUN
amq-160	254	31	off	off	ADP
amq-160	254	32	the	the	DET
amq-160	254	33	western	western	ADJ
amq-160	254	34	iberian	iberian	ADJ
amq-160	254	35	margin	margin	NOUN
amq-160	254	36	during	during	ADP
amq-160	254	37	the	the	DET
amq-160	254	38	last	last	ADJ
amq-160	254	39	two	two	NUM
amq-160	254	40	glacial	glacial	ADJ
amq-160	254	41	periods	period	NOUN
amq-160	254	42	.	.	PUNCT
amq-160	255	1	marine	marine	PROPN
amq-160	255	2	geology	geology	NOUN
amq-160	255	3	,	,	PUNCT
amq-160	255	4	196	196	NUM
amq-160	255	5	(	(	PUNCT
amq-160	255	6	1	1	NUM
amq-160	255	7	-	-	SYM
amq-160	255	8	2	2	NUM
amq-160	255	9	)	)	PUNCT
amq-160	255	10	,	,	PUNCT
amq-160	255	11	1	1	NUM
amq-160	255	12	-	-	SYM
amq-160	255	13	20	20	NUM
amq-160	255	14	.	.	PUNCT
amq-160	256	1	de	de	PROPN
amq-160	256	2	jong	jong	PROPN
amq-160	256	3	s.	s.	PROPN
amq-160	256	4	(	(	PUNCT
amq-160	256	5	1993	1993	NUM
amq-160	256	6	)	)	PUNCT
amq-160	256	7	simpls	simpls	NOUN
amq-160	256	8	:	:	PUNCT
amq-160	256	9	an	an	DET
amq-160	256	10	alternative	alternative	ADJ
amq-160	256	11	approach	approach	NOUN
amq-160	256	12	to	to	ADP
amq-160	256	13	partial	partial	ADJ
amq-160	256	14	least	least	ADJ
amq-160	256	15	squares	square	NOUN
amq-160	256	16	regression	regression	NOUN
amq-160	256	17	.	.	PUNCT
amq-160	257	1	chemometrics	chemometric	NOUN
amq-160	257	2	intell	intell	PROPN
amq-160	257	3	.	.	PUNCT
amq-160	258	1	lab	lab	PROPN
amq-160	258	2	.	.	PUNCT
amq-160	259	1	syst	syst	PROPN
amq-160	259	2	.	.	PROPN
amq-160	259	3	,	,	PUNCT
amq-160	259	4	18	18	NUM
amq-160	259	5	,	,	PUNCT
amq-160	259	6	251	251	NUM
amq-160	259	7	-	-	SYM
amq-160	259	8	263	263	NUM
amq-160	259	9	.	.	PUNCT
amq-160	259	10	di	di	NOUN
amq-160	259	11	donato	donato	PROPN
amq-160	259	12	v.	v.	PROPN
amq-160	259	13	,	,	PUNCT
amq-160	259	14	esposito	esposito	PROPN
amq-160	259	15	p.	p.	PROPN
amq-160	259	16	,	,	PUNCT
amq-160	259	17	russo	russo	PROPN
amq-160	259	18	ermolli	ermolli	PROPN
amq-160	259	19	e.	e.	PROPN
amq-160	259	20	,	,	PUNCT
amq-160	259	21	scarano	scarano	PROPN
amq-160	259	22	a.	a.	NOUN
amq-160	259	23	,	,	PUNCT
amq-160	259	24	cheddadi	cheddadi	PROPN
amq-160	259	25	,	,	PUNCT
amq-160	259	26	r.	r.	PROPN
amq-160	259	27	(	(	PUNCT
amq-160	259	28	2008	2008	NUM
amq-160	259	29	)	)	PUNCT
amq-160	259	30	coupled	couple	VERB
amq-160	259	31	atmospheric	atmospheric	ADJ
amq-160	259	32	and	and	CCONJ
amq-160	259	33	marine	marine	ADJ
amq-160	259	34	palaeoclimatic	palaeoclimatic	ADJ
amq-160	259	35	reconstruction	reconstruction	NOUN
amq-160	259	36	for	for	ADP
amq-160	259	37	the	the	DET
amq-160	259	38	last	last	ADJ
amq-160	259	39	35	35	NUM
amq-160	259	40	ka	ka	NOUN
amq-160	259	41	in	in	ADP
amq-160	259	42	the	the	DET
amq-160	259	43	sele	sele	NOUN
amq-160	259	44	plain	plain	PROPN
amq-160	259	45	-	-	PUNCT
amq-160	259	46	gulf	gulf	NOUN
amq-160	259	47	of	of	ADP
amq-160	259	48	salerno	salerno	PROPN
amq-160	259	49	area	area	PROPN
amq-160	259	50	(	(	PUNCT
amq-160	259	51	southern	southern	PROPN
amq-160	259	52	italy	italy	PROPN
amq-160	259	53	)	)	PUNCT
amq-160	259	54	.	.	PUNCT
amq-160	260	1	quaternary	quaternary	PROPN
amq-160	260	2	international	international	PROPN
amq-160	260	3	,	,	PUNCT
amq-160	260	4	190	190	NUM
amq-160	260	5	,	,	PUNCT
amq-160	260	6	146	146	NUM
amq-160	260	7	-	-	SYM
amq-160	260	8	157	157	NUM
amq-160	260	9	.	.	PUNCT
amq-160	261	1	di	di	NOUN
amq-160	261	2	donato	donato	PROPN
amq-160	261	3	v.	v.	PROPN
amq-160	261	4	,	,	PUNCT
amq-160	261	5	esposito	esposito	PROPN
amq-160	261	6	p.	p.	PROPN
amq-160	261	7	,	,	PUNCT
amq-160	261	8	garilli	garilli	PROPN
amq-160	261	9	v.	v.	PROPN
amq-160	261	10	,	,	PUNCT
amq-160	261	11	naimo	naimo	PROPN
amq-160	261	12	d.	d.	PROPN
amq-160	261	13	,	,	PUNCT
amq-160	261	14	buccheri	buccheri	PROPN
amq-160	261	15	g.	g.	PROPN
amq-160	261	16	,	,	PUNCT
amq-160	261	17	caffau	caffau	ADJ
amq-160	261	18	m.	m.	NOUN
amq-160	261	19	,	,	PUNCT
amq-160	261	20	ciampo	ciampo	PROPN
amq-160	261	21	g.	g.	PROPN
amq-160	261	22	,	,	PUNCT
amq-160	261	23	greco	greco	PROPN
amq-160	261	24	a.	a.	PROPN
amq-160	261	25	,	,	PUNCT
amq-160	261	26	stanzione	stanzione	NOUN
amq-160	261	27	d.	d.	PROPN
amq-160	261	28	(	(	PUNCT
amq-160	261	29	2009	2009	NUM
amq-160	261	30	)	)	PUNCT
amq-160	261	31	surface	surface	NOUN
amq-160	261	32	-	-	PUNCT
amq-160	261	33	bottom	bottom	NOUN
amq-160	261	34	relationships	relationship	NOUN
amq-160	261	35	in	in	ADP
amq-160	261	36	the	the	DET
amq-160	261	37	gulf	gulf	PROPN
amq-160	261	38	of	of	ADP
amq-160	261	39	salerno	salerno	PROPN
amq-160	261	40	(	(	PUNCT
amq-160	261	41	tyrrhenian	tyrrhenian	PROPN
amq-160	261	42	sea	sea	NOUN
amq-160	261	43	)	)	PUNCT
amq-160	261	44	over	over	ADP
amq-160	261	45	the	the	DET
amq-160	261	46	last	last	ADJ
amq-160	261	47	34	34	NUM
amq-160	261	48	kyr	kyr	PROPN
amq-160	261	49	:	:	PUNCT
amq-160	261	50	compositional	compositional	ADJ
amq-160	261	51	data	datum	NOUN
amq-160	261	52	analysis	analysis	NOUN
amq-160	261	53	of	of	ADP
amq-160	261	54	palaeontological	palaeontological	ADJ
amq-160	261	55	proxies	proxy	NOUN
amq-160	261	56	and	and	CCONJ
amq-160	261	57	geochemical	geochemical	ADJ
amq-160	261	58	evidence	evidence	NOUN
amq-160	261	59	.	.	PUNCT
amq-160	262	1	geobios	geobio	NOUN
amq-160	262	2	,	,	PUNCT
amq-160	262	3	42	42	NUM
amq-160	262	4	,	,	PUNCT
amq-160	262	5	561	561	NUM
amq-160	262	6	-	-	SYM
amq-160	262	7	579	579	NUM
amq-160	262	8	.	.	PUNCT
amq-160	262	9	di	di	NOUN
amq-160	262	10	donato	donato	PROPN
amq-160	263	1	v.	v.	PROPN
amq-160	263	2	,	,	PUNCT
amq-160	263	3	martin	martin	PROPN
amq-160	263	4	-	-	PUNCT
amq-160	263	5	fernandez	fernandez	PROPN
amq-160	263	6	j.a	j.a	PROPN
amq-160	263	7	.	.	PROPN
amq-160	263	8	,	,	PUNCT
amq-160	263	9	daunis	daunis	NOUN
amq-160	263	10	-	-	PUNCT
amq-160	263	11	i	i	PRON
amq-160	263	12	-	-	PUNCT
amq-160	263	13	estadella	estadella	PROPN
amq-160	263	14	j.	j.	PROPN
amq-160	263	15	,	,	PUNCT
amq-160	263	16	esposito	esposito	PROPN
amq-160	263	17	,	,	PUNCT
amq-160	263	18	p.	p.	NOUN
amq-160	263	19	(	(	PUNCT
amq-160	263	20	2015	2015	NUM
amq-160	263	21	)	)	PUNCT
amq-160	263	22	size	size	NOUN
amq-160	263	23	fraction	fraction	NOUN
amq-160	263	24	effects	effect	NOUN
amq-160	263	25	on	on	ADP
amq-160	263	26	planktonic	planktonic	ADJ
amq-160	263	27	foraminifera	foraminifera	NOUN
amq-160	263	28	assemblages	assemblage	NOUN
amq-160	263	29	:	:	PUNCT
amq-160	263	30	a	a	DET
amq-160	263	31	compositional	compositional	ADJ
amq-160	263	32	contribution	contribution	NOUN
amq-160	263	33	to	to	ADP
amq-160	263	34	the	the	DET
amq-160	263	35	golden	golden	ADJ
amq-160	263	36	sieve	sieve	NOUN
amq-160	263	37	rush	rush	NOUN
amq-160	263	38	.	.	PUNCT
amq-160	264	1	mathematical	mathematical	ADJ
amq-160	264	2	geosciences	geoscience	NOUN
amq-160	264	3	,	,	PUNCT
amq-160	264	4	47(4	47(4	NUM
amq-160	264	5	)	)	PUNCT
amq-160	264	6	,	,	PUNCT
amq-160	264	7	455	455	NUM
amq-160	264	8	-	-	SYM
amq-160	264	9	470	470	NUM
amq-160	264	10	.	.	PUNCT
amq-160	265	1	di	di	NOUN
amq-160	265	2	donato	donato	PROPN
amq-160	265	3	v.	v.	PROPN
amq-160	265	4	,	,	PUNCT
amq-160	265	5	martín	martín	NOUN
amq-160	265	6	-	-	PUNCT
amq-160	265	7	fernández	fernández	PROPN
amq-160	265	8	j.a	j.a	PROPN
amq-160	265	9	.	.	PROPN
amq-160	265	10	,	,	PUNCT
amq-160	265	11	comas	coma	NOUN
amq-160	265	12	-	-	PUNCT
amq-160	265	13	cufí	cufí	ADJ
amq-160	265	14	m.	m.	NOUN
amq-160	265	15	,	,	PUNCT
amq-160	265	16	jamka	jamka	PROPN
amq-160	265	17	j.	j.	PROPN
amq-160	265	18	(	(	PUNCT
amq-160	265	19	2018	2018	NUM
amq-160	265	20	)	)	PUNCT
amq-160	265	21	palaeoenvironmental	palaeoenvironmental	ADJ
amq-160	265	22	reconstructions	reconstruction	NOUN
amq-160	265	23	through	through	ADP
amq-160	265	24	compositional	compositional	ADJ
amq-160	265	25	data	datum	NOUN
amq-160	265	26	analysis	analysis	NOUN
amq-160	265	27	.	.	PUNCT
amq-160	266	1	39	39	NUM
amq-160	266	2	coda	coda	ADJ
amq-160	266	3	regression	regression	NOUN
amq-160	266	4	-	-	PUNCT
amq-160	266	5	based	base	VERB
amq-160	266	6	sst	sst	NOUN
amq-160	266	7	reconstruction	reconstruction	NOUN
amq-160	266	8	alpine	alpine	NOUN
amq-160	266	9	and	and	CCONJ
amq-160	266	10	mediterranean	mediterranean	PROPN
amq-160	266	11	quaternary	quaternary	PROPN
amq-160	266	12	,	,	PUNCT
amq-160	266	13	31(1	31(1	NUM
amq-160	266	14	)	)	PUNCT
amq-160	266	15	,	,	PUNCT
amq-160	266	16	5973	5973	NUM
amq-160	266	17	.	.	PUNCT
amq-160	267	1	di	di	PROPN
amq-160	267	2	donato	donato	PROPN
amq-160	267	3	v.	v.	PROPN
amq-160	267	4	,	,	PUNCT
amq-160	267	5	insinga	insinga	PROPN
amq-160	267	6	d.d	d.d	PROPN
amq-160	267	7	.	.	PROPN
amq-160	267	8	,	,	PUNCT
amq-160	267	9	iorio	iorio	PROPN
amq-160	267	10	m.	m.	PROPN
amq-160	267	11	,	,	PUNCT
amq-160	267	12	molisso	molisso	PROPN
amq-160	267	13	f.	f.	PROPN
amq-160	267	14	,	,	PUNCT
amq-160	267	15	rumolo	rumolo	PROPN
amq-160	267	16	p.	p.	PROPN
amq-160	267	17	,	,	PUNCT
amq-160	267	18	cardines	cardines	PROPN
amq-160	267	19	c.	c.	PROPN
amq-160	267	20	,	,	PUNCT
amq-160	267	21	passaro	passaro	PROPN
amq-160	267	22	s.	s.	PROPN
amq-160	267	23	(	(	PUNCT
amq-160	267	24	2019	2019	NUM
amq-160	267	25	)	)	PUNCT
amq-160	267	26	the	the	DET
amq-160	267	27	palaeoclimatic	palaeoclimatic	ADJ
amq-160	267	28	and	and	CCONJ
amq-160	267	29	palaeoceanographic	palaeoceanographic	ADJ
amq-160	267	30	history	history	NOUN
amq-160	267	31	of	of	ADP
amq-160	267	32	the	the	DET
amq-160	267	33	gulf	gulf	PROPN
amq-160	267	34	of	of	ADP
amq-160	267	35	taranto	taranto	PROPN
amq-160	267	36	(	(	PUNCT
amq-160	267	37	mediterranean	mediterranean	PROPN
amq-160	267	38	sea	sea	PROPN
amq-160	267	39	)	)	PUNCT
amq-160	267	40	in	in	ADP
amq-160	267	41	the	the	DET
amq-160	267	42	last	last	ADJ
amq-160	267	43	15	15	NUM
amq-160	267	44	ky	ky	PROPN
amq-160	267	45	.	.	PUNCT
amq-160	267	46	global	global	ADJ
amq-160	267	47	and	and	CCONJ
amq-160	267	48	planetary	planetary	ADJ
amq-160	267	49	change	change	NOUN
amq-160	267	50	,	,	PUNCT
amq-160	267	51	172	172	NUM
amq-160	267	52	,	,	PUNCT
amq-160	267	53	278	278	NUM
amq-160	267	54	-	-	SYM
amq-160	267	55	297	297	NUM
amq-160	267	56	.	.	PUNCT
amq-160	268	1	egozcue	egozcue	PROPN
amq-160	268	2	j.j	j.j	PROPN
amq-160	268	3	.	.	PROPN
amq-160	268	4	,	,	PUNCT
amq-160	268	5	pawlowsky	pawlowsky	NOUN
amq-160	268	6	-	-	PUNCT
amq-160	268	7	glahn	glahn	NOUN
amq-160	268	8	v.	v.	PROPN
amq-160	268	9	(	(	PUNCT
amq-160	268	10	2005	2005	NUM
amq-160	268	11	)	)	PUNCT
amq-160	268	12	groups	group	NOUN
amq-160	268	13	of	of	ADP
amq-160	268	14	parts	part	NOUN
amq-160	268	15	and	and	CCONJ
amq-160	268	16	their	their	PRON
amq-160	268	17	balances	balance	NOUN
amq-160	268	18	in	in	ADP
amq-160	268	19	compositional	compositional	ADJ
amq-160	268	20	data	datum	NOUN
amq-160	268	21	analysis	analysis	NOUN
amq-160	268	22	.	.	PUNCT
amq-160	269	1	mathematical	mathematical	ADJ
amq-160	269	2	geology	geology	NOUN
amq-160	269	3	37(7	37(7	PROPN
amq-160	269	4	)	)	PUNCT
amq-160	269	5	,	,	PUNCT
amq-160	269	6	795	795	NUM
amq-160	269	7	-	-	SYM
amq-160	269	8	828	828	NUM
amq-160	269	9	.	.	PUNCT
amq-160	270	1	egozcue	egozcue	PROPN
amq-160	270	2	j.j	j.j	PROPN
amq-160	270	3	.	.	PROPN
amq-160	270	4	,	,	PUNCT
amq-160	270	5	pawlowsky	pawlowsky	NOUN
amq-160	270	6	-	-	PUNCT
amq-160	270	7	glahn	glahn	NOUN
amq-160	270	8	v.	v.	NOUN
amq-160	270	9	,	,	PUNCT
amq-160	270	10	mateu	mateu	NOUN
amq-160	270	11	-	-	PUNCT
amq-160	270	12	figueraz	figueraz	NOUN
amq-160	270	13	g.	g.	PROPN
amq-160	270	14	,	,	PUNCT
amq-160	270	15	barceló	barceló	NOUN
amq-160	270	16	-	-	PUNCT
amq-160	270	17	vidal	vidal	NOUN
amq-160	270	18	c.	c.	PROPN
amq-160	270	19	(	(	PUNCT
amq-160	270	20	2003	2003	NUM
amq-160	270	21	)	)	PUNCT
amq-160	270	22	isometric	isometric	ADJ
amq-160	270	23	logratio	logratio	NOUN
amq-160	270	24	transformations	transformation	NOUN
amq-160	270	25	for	for	ADP
amq-160	270	26	compositional	compositional	ADJ
amq-160	270	27	data	datum	NOUN
amq-160	270	28	analysis	analysis	NOUN
amq-160	270	29	.	.	PUNCT
amq-160	271	1	mathematical	mathematical	ADJ
amq-160	271	2	geology	geology	NOUN
amq-160	271	3	35(3	35(3	NUM
amq-160	271	4	)	)	PUNCT
amq-160	271	5	,	,	PUNCT
amq-160	271	6	279	279	NUM
amq-160	271	7	-	-	SYM
amq-160	271	8	300	300	NUM
amq-160	271	9	.	.	PUNCT
amq-160	272	1	filzmoser	filzmoser	PROPN
amq-160	272	2	p.	p.	PROPN
amq-160	272	3	,	,	PUNCT
amq-160	272	4	hron	hron	PROPN
amq-160	272	5	k.	k.	PROPN
amq-160	272	6	(	(	PUNCT
amq-160	272	7	2008	2008	NUM
amq-160	272	8	)	)	PUNCT
amq-160	272	9	outlier	outlier	NOUN
amq-160	272	10	detection	detection	NOUN
amq-160	272	11	for	for	ADP
amq-160	272	12	compositional	compositional	ADJ
amq-160	272	13	data	datum	NOUN
amq-160	272	14	using	use	VERB
amq-160	272	15	robust	robust	ADJ
amq-160	272	16	methods	method	NOUN
amq-160	272	17	.	.	PUNCT
amq-160	273	1	math	math	NOUN
amq-160	273	2	.	.	PUNCT
amq-160	274	1	geosciences	geoscience	NOUN
amq-160	274	2	,	,	PUNCT
amq-160	274	3	40	40	NUM
amq-160	274	4	,	,	PUNCT
amq-160	274	5	233	233	NUM
amq-160	274	6	-	-	SYM
amq-160	274	7	248	248	NUM
amq-160	274	8	.	.	PUNCT
amq-160	275	1	filzmoser	filzmoser	PROPN
amq-160	275	2	p.	p.	PROPN
amq-160	275	3	,	,	PUNCT
amq-160	275	4	hron	hron	PROPN
amq-160	275	5	k.	k.	PROPN
amq-160	275	6	templ	templ	PROPN
amq-160	275	7	,	,	PUNCT
amq-160	275	8	m.	m.	NOUN
amq-160	275	9	(	(	PUNCT
amq-160	275	10	2018	2018	NUM
amq-160	275	11	)	)	PUNCT
amq-160	275	12	applied	apply	VERB
amq-160	275	13	compositional	compositional	ADJ
amq-160	275	14	data	datum	NOUN
amq-160	275	15	analysis	analysis	NOUN
amq-160	275	16	.	.	PUNCT
amq-160	276	1	springer	springer	NOUN
amq-160	276	2	,	,	PUNCT
amq-160	276	3	pp	pp	X
amq-160	276	4	.	.	PUNCT
amq-160	277	1	280	280	NUM
amq-160	277	2	.	.	X
amq-160	277	3	doi	doi	NOUN
amq-160	277	4	:	:	PUNCT
amq-160	277	5	10.1007/978	10.1007/978	NUM
amq-160	277	6	-	-	SYM
amq-160	277	7	3	3	NUM
amq-160	277	8	-	-	NUM
amq-160	277	9	319	319	NUM
amq-160	277	10	-	-	PUNCT
amq-160	277	11	96422	96422	NUM
amq-160	277	12	-	-	SYM
amq-160	277	13	5	5	NUM
amq-160	277	14	guiot	guiot	NOUN
amq-160	277	15	j.	j.	PROPN
amq-160	277	16	,	,	PUNCT
amq-160	277	17	de	de	PROPN
amq-160	277	18	vernal	vernal	ADJ
amq-160	277	19	a.	a.	NOUN
amq-160	277	20	(	(	PUNCT
amq-160	277	21	2011a	2011a	NUM
amq-160	277	22	)	)	PUNCT
amq-160	277	23	is	be	AUX
amq-160	277	24	spatial	spatial	ADJ
amq-160	277	25	autocorrelation	autocorrelation	NOUN
amq-160	277	26	introducing	introduce	VERB
amq-160	277	27	biases	bias	NOUN
amq-160	277	28	in	in	ADP
amq-160	277	29	the	the	DET
amq-160	277	30	apparent	apparent	ADJ
amq-160	277	31	accuracy	accuracy	NOUN
amq-160	277	32	of	of	ADP
amq-160	277	33	paleoclimatic	paleoclimatic	ADJ
amq-160	277	34	reconstructions	reconstruction	NOUN
amq-160	277	35	?	?	PUNCT
amq-160	278	1	quaternary	quaternary	ADJ
amq-160	278	2	science	science	NOUN
amq-160	278	3	reviews	review	NOUN
amq-160	278	4	30	30	NUM
amq-160	278	5	,	,	PUNCT
amq-160	278	6	1965	1965	NUM
amq-160	278	7	-	-	SYM
amq-160	278	8	1972	1972	NUM
amq-160	278	9	.	.	PUNCT
amq-160	279	1	guiot	guiot	PROPN
amq-160	279	2	j.	j.	PROPN
amq-160	279	3	,	,	PUNCT
amq-160	279	4	de	de	X
amq-160	279	5	vernal	vernal	NOUN
amq-160	279	6	,	,	PUNCT
amq-160	279	7	a.	a.	NOUN
amq-160	279	8	(	(	PUNCT
amq-160	279	9	2011b	2011b	NUM
amq-160	279	10	)	)	PUNCT
amq-160	279	11	qsr	qsr	NOUN
amq-160	279	12	correspondence	correspondence	NOUN
amq-160	279	13	“	"	PUNCT
amq-160	279	14	is	be	AUX
amq-160	279	15	spatial	spatial	ADJ
amq-160	279	16	autocorrelation	autocorrelation	NOUN
amq-160	279	17	introducing	introduce	VERB
amq-160	279	18	biases	bias	NOUN
amq-160	279	19	in	in	ADP
amq-160	279	20	the	the	DET
amq-160	279	21	apparent	apparent	ADJ
amq-160	279	22	accuracy	accuracy	NOUN
amq-160	279	23	of	of	ADP
amq-160	279	24	palaeoclimatic	palaeoclimatic	ADJ
amq-160	279	25	reconstructions	reconstruction	NOUN
amq-160	279	26	?	?	PUNCT
amq-160	279	27	”	"	PUNCT
amq-160	279	28	reply	reply	NOUN
amq-160	279	29	to	to	ADP
amq-160	279	30	telford	telford	VERB
amq-160	279	31	and	and	CCONJ
amq-160	279	32	birks	birk	NOUN
amq-160	279	33	.	.	PUNCT
amq-160	280	1	quaternary	quaternary	ADJ
amq-160	280	2	science	science	NOUN
amq-160	280	3	reviews	review	NOUN
amq-160	280	4	,	,	PUNCT
amq-160	280	5	30	30	NUM
amq-160	280	6	,	,	PUNCT
amq-160	280	7	3214	3214	NUM
amq-160	280	8	-	-	SYM
amq-160	280	9	3216	3216	NUM
amq-160	280	10	.	.	PUNCT
amq-160	281	1	hayes	hayes	PROPN
amq-160	281	2	a.	a.	PROPN
amq-160	281	3	,	,	PUNCT
amq-160	281	4	kucera	kucera	NOUN
amq-160	281	5	m.	m.	NOUN
amq-160	281	6	,	,	PUNCT
amq-160	281	7	kallel	kallel	ADJ
amq-160	281	8	n.	n.	NOUN
amq-160	281	9	,	,	PUNCT
amq-160	281	10	sbaffi	sbaffi	PROPN
amq-160	281	11	l.	l.	PROPN
amq-160	281	12	,	,	PUNCT
amq-160	281	13	rohling	rohle	VERB
amq-160	281	14	e.	e.	PROPN
amq-160	281	15	(	(	PUNCT
amq-160	281	16	2004	2004	NUM
amq-160	281	17	)	)	PUNCT
amq-160	281	18	compilation	compilation	NOUN
amq-160	281	19	of	of	ADP
amq-160	281	20	planktic	planktic	ADJ
amq-160	281	21	foraminifera	foraminifera	NOUN
amq-160	281	22	modern	modern	ADJ
amq-160	281	23	data	datum	NOUN
amq-160	281	24	from	from	ADP
amq-160	281	25	the	the	DET
amq-160	281	26	mediterranean	mediterranean	PROPN
amq-160	281	27	sea	sea	PROPN
amq-160	281	28	.	.	PROPN
amq-160	281	29	pangaea	pangaea	PROPN
amq-160	281	30	.	.	PUNCT
amq-160	282	1	doi	doi	PROPN
amq-160	282	2	:	:	PUNCT
amq-160	282	3	10.1594	10.1594	NUM
amq-160	282	4	/	/	SYM
amq-160	282	5	pangaea.227305	pangaea.227305	PROPN
amq-160	282	6	hinkle	hinkle	PROPN
amq-160	282	7	j.	j.	PROPN
amq-160	282	8	,	,	PUNCT
amq-160	282	9	rayens	rayen	VERB
amq-160	282	10	w.	w.	PROPN
amq-160	282	11	(	(	PUNCT
amq-160	282	12	1995	1995	NUM
amq-160	282	13	)	)	PUNCT
amq-160	282	14	partial	partial	ADJ
amq-160	282	15	least	least	ADJ
amq-160	282	16	squares	square	NOUN
amq-160	282	17	and	and	CCONJ
amq-160	282	18	compositional	compositional	ADJ
amq-160	282	19	data	datum	NOUN
amq-160	282	20	:	:	PUNCT
amq-160	282	21	problems	problem	NOUN
amq-160	282	22	and	and	CCONJ
amq-160	282	23	alternatives	alternative	NOUN
amq-160	282	24	.	.	PUNCT
amq-160	283	1	chemometrics	chemometric	NOUN
amq-160	283	2	and	and	CCONJ
amq-160	283	3	intelligent	intelligent	ADJ
amq-160	283	4	laboratory	laboratory	NOUN
amq-160	283	5	systems	system	NOUN
amq-160	283	6	30(1	30(1	NUM
amq-160	283	7	)	)	PUNCT
amq-160	283	8	,	,	PUNCT
amq-160	283	9	159	159	NUM
amq-160	283	10	-	-	SYM
amq-160	283	11	172	172	NUM
amq-160	283	12	.	.	PUNCT
amq-160	284	1	hubert	hubert	PROPN
amq-160	284	2	m.	m.	PROPN
amq-160	284	3	,	,	PUNCT
amq-160	284	4	branden	branden	PROPN
amq-160	284	5	k.v	k.v	PROPN
amq-160	284	6	.	.	PROPN
amq-160	285	1	(	(	PUNCT
amq-160	285	2	2003	2003	NUM
amq-160	285	3	)	)	PUNCT
amq-160	285	4	robust	robust	ADJ
amq-160	285	5	methods	method	NOUN
amq-160	285	6	for	for	ADP
amq-160	285	7	partial	partial	ADJ
amq-160	285	8	least	least	ADJ
amq-160	285	9	squares	square	NOUN
amq-160	285	10	regression	regression	NOUN
amq-160	285	11	.	.	PUNCT
amq-160	286	1	j.	j.	PROPN
amq-160	286	2	chemometrics	chemometrics	PROPN
amq-160	286	3	,	,	PUNCT
amq-160	286	4	17	17	NUM
amq-160	286	5	,	,	PUNCT
amq-160	286	6	537	537	NUM
amq-160	286	7	-	-	SYM
amq-160	286	8	549	549	NUM
amq-160	286	9	.	.	PUNCT
amq-160	286	10	doi	doi	NOUN
amq-160	286	11	:	:	PUNCT
amq-160	286	12	10.1002	10.1002	NUM
amq-160	286	13	/	/	SYM
amq-160	286	14	cem.822	cem.822	NOUN
amq-160	286	15	hutson	hutson	PROPN
amq-160	286	16	w.h	w.h	PROPN
amq-160	286	17	.	.	PROPN
amq-160	286	18	(	(	PUNCT
amq-160	286	19	1977	1977	NUM
amq-160	286	20	)	)	PUNCT
amq-160	286	21	transfer	transfer	NOUN
amq-160	286	22	functions	function	NOUN
amq-160	286	23	under	under	ADP
amq-160	286	24	noanalog	noanalog	NOUN
amq-160	286	25	conditions	condition	NOUN
amq-160	286	26	:	:	PUNCT
amq-160	286	27	experiments	experiment	NOUN
amq-160	286	28	with	with	ADP
amq-160	286	29	indian	indian	ADJ
amq-160	286	30	ocean	ocean	PROPN
amq-160	286	31	planktonic	planktonic	ADJ
amq-160	286	32	foraminifera	foraminifera	NOUN
amq-160	286	33	,	,	PUNCT
amq-160	286	34	quaternary	quaternary	ADJ
amq-160	286	35	research	research	NOUN
amq-160	286	36	,	,	PUNCT
amq-160	286	37	8	8	NUM
amq-160	286	38	,	,	PUNCT
amq-160	286	39	355	355	NUM
amq-160	286	40	-	-	SYM
amq-160	286	41	367	367	NUM
amq-160	286	42	.	.	PUNCT
amq-160	287	1	hutson	hutson	PROPN
amq-160	287	2	w.h	w.h	PROPN
amq-160	287	3	.	.	PROPN
amq-160	287	4	(	(	PUNCT
amq-160	287	5	1979	1979	NUM
amq-160	287	6	)	)	PUNCT
amq-160	287	7	the	the	DET
amq-160	287	8	agulhas	agulhas	PROPN
amq-160	287	9	current	current	NOUN
amq-160	287	10	during	during	ADP
amq-160	287	11	the	the	DET
amq-160	287	12	late	late	ADJ
amq-160	287	13	pleistocene	pleistocene	NOUN
amq-160	287	14	:	:	PUNCT
amq-160	287	15	analysis	analysis	NOUN
amq-160	287	16	of	of	ADP
amq-160	287	17	modern	modern	ADJ
amq-160	287	18	faunal	faunal	ADJ
amq-160	287	19	analogues	analogue	NOUN
amq-160	287	20	.	.	PUNCT
amq-160	288	1	science	science	NOUN
amq-160	288	2	,	,	PUNCT
amq-160	288	3	207(1	207(1	NUM
amq-160	288	4	)	)	PUNCT
amq-160	288	5	,	,	PUNCT
amq-160	288	6	64	64	NUM
amq-160	288	7	-	-	SYM
amq-160	288	8	66	66	NUM
amq-160	288	9	.	.	PUNCT
amq-160	289	1	imbrie	imbrie	PROPN
amq-160	289	2	j.	j.	PROPN
amq-160	289	3	,	,	PUNCT
amq-160	289	4	kipp	kipp	PROPN
amq-160	289	5	n.g	n.g	PROPN
amq-160	289	6	.	.	PROPN
amq-160	289	7	(	(	PUNCT
amq-160	289	8	1971	1971	NUM
amq-160	289	9	)	)	PUNCT
amq-160	289	10	a	a	DET
amq-160	289	11	new	new	ADJ
amq-160	289	12	micropaleontological	micropaleontological	ADJ
amq-160	289	13	method	method	NOUN
amq-160	289	14	for	for	ADP
amq-160	289	15	paleoclimatology	paleoclimatology	NOUN
amq-160	289	16	:	:	PUNCT
amq-160	289	17	application	application	NOUN
amq-160	289	18	to	to	ADP
amq-160	289	19	a	a	DET
amq-160	289	20	late	late	ADJ
amq-160	289	21	pleistocene	pleistocene	ADJ
amq-160	289	22	caribbean	caribbean	ADJ
amq-160	289	23	core	core	NOUN
amq-160	289	24	.	.	PUNCT
amq-160	290	1	the	the	DET
amq-160	290	2	late	late	ADJ
amq-160	290	3	cenozoic	cenozoic	ADJ
amq-160	290	4	glacial	glacial	ADJ
amq-160	290	5	ages	age	NOUN
amq-160	290	6	.	.	PUNCT
amq-160	291	1	new	new	ADJ
amq-160	291	2	haven	haven	PROPN
amq-160	291	3	,	,	PUNCT
amq-160	291	4	yale	yale	PROPN
amq-160	291	5	university	university	PROPN
amq-160	291	6	press	press	NOUN
amq-160	291	7	,	,	PUNCT
amq-160	291	8	71	71	NUM
amq-160	291	9	-	-	SYM
amq-160	291	10	181	181	NUM
amq-160	291	11	.	.	PUNCT
amq-160	292	1	juggins	juggins	PROPN
amq-160	292	2	s.	s.	PROPN
amq-160	292	3	(	(	PUNCT
amq-160	292	4	2017	2017	NUM
amq-160	292	5	)	)	PUNCT
amq-160	292	6	rioja	rioja	NOUN
amq-160	292	7	:	:	PUNCT
amq-160	292	8	analysis	analysis	NOUN
amq-160	292	9	of	of	ADP
amq-160	292	10	quaternary	quaternary	ADJ
amq-160	292	11	science	science	NOUN
amq-160	292	12	data	datum	NOUN
amq-160	292	13	,	,	PUNCT
amq-160	292	14	r	r	NOUN
amq-160	292	15	package	package	NOUN
amq-160	292	16	version	version	NOUN
amq-160	292	17	(	(	PUNCT
amq-160	292	18	0.9	0.9	NUM
amq-160	292	19	-	-	SYM
amq-160	292	20	21	21	NUM
amq-160	292	21	)	)	PUNCT
amq-160	292	22	.	.	PUNCT
amq-160	293	1	http://cran.r-project.org/package=rioja	http://cran.r-project.org/package=rioja	PROPN
amq-160	293	2	kucera	kucera	NOUN
amq-160	293	3	m.	m.	NOUN
amq-160	293	4	,	,	PUNCT
amq-160	293	5	weinelt	weinelt	ADJ
amq-160	293	6	m.	m.	NOUN
amq-160	293	7	,	,	PUNCT
amq-160	293	8	kiefer	kiefer	PROPN
amq-160	293	9	t.	t.	PROPN
amq-160	293	10	,	,	PUNCT
amq-160	293	11	pflaumann	pflaumann	PROPN
amq-160	293	12	u.	u.	PROPN
amq-160	293	13	,	,	PUNCT
amq-160	293	14	hayes	hayes	PROPN
amq-160	293	15	a.	a.	PROPN
amq-160	293	16	,	,	PUNCT
amq-160	293	17	weinelt	weinelt	VERB
amq-160	293	18	m.	m.	NOUN
amq-160	293	19	,	,	PUNCT
amq-160	293	20	chen	chen	PROPN
amq-160	293	21	m.-t	m.-t	PROPN
amq-160	293	22	.	.	PUNCT
amq-160	293	23	,	,	PUNCT
amq-160	293	24	mix	mix	VERB
amq-160	293	25	a.c	a.c	PROPN
amq-160	293	26	.	.	PROPN
amq-160	293	27	,	,	PUNCT
amq-160	293	28	barrows	barrow	NOUN
amq-160	293	29	t.	t.	PROPN
amq-160	293	30	,	,	PUNCT
amq-160	293	31	cortijo	cortijo	PROPN
amq-160	293	32	e.	e.	PROPN
amq-160	293	33	,	,	PUNCT
amq-160	293	34	duprat	duprat	PROPN
amq-160	293	35	j.	j.	PROPN
amq-160	293	36	,	,	PUNCT
amq-160	293	37	juggins	juggins	PROPN
amq-160	293	38	s.	s.	PROPN
amq-160	293	39	,	,	PUNCT
amq-160	293	40	waelbroeck	waelbroeck	PROPN
amq-160	293	41	c.	c.	PROPN
amq-160	293	42	(	(	PUNCT
amq-160	293	43	2004	2004	NUM
amq-160	293	44	)	)	PUNCT
amq-160	293	45	compilation	compilation	NOUN
amq-160	293	46	of	of	ADP
amq-160	293	47	planktic	planktic	ADJ
amq-160	293	48	foraminifera	foraminifera	NOUN
amq-160	293	49	census	census	NOUN
amq-160	293	50	data	datum	NOUN
amq-160	293	51	,	,	PUNCT
amq-160	293	52	modern	modern	ADJ
amq-160	293	53	from	from	ADP
amq-160	293	54	the	the	DET
amq-160	293	55	atlantic	atlantic	PROPN
amq-160	293	56	ocean	ocean	PROPN
amq-160	293	57	.	.	PUNCT
amq-160	294	1	pangaea	pangaea	PROPN
amq-160	294	2	.	.	PUNCT
amq-160	295	1	doi	doi	PROPN
amq-160	295	2	:	:	PUNCT
amq-160	295	3	10.1594	10.1594	NUM
amq-160	295	4	/	/	SYM
amq-160	295	5	pangaea.227322	pangaea.227322	PROPN
amq-160	295	6	kucera	kucera	NOUN
amq-160	295	7	m.	m.	NOUN
amq-160	295	8	,	,	PUNCT
amq-160	295	9	weinelt	weinelt	ADJ
amq-160	295	10	m.	m.	NOUN
amq-160	295	11	,	,	PUNCT
amq-160	295	12	kiefer	kiefer	PROPN
amq-160	295	13	t.	t.	PROPN
amq-160	295	14	,	,	PUNCT
amq-160	295	15	pflaumann	pflaumann	PROPN
amq-160	295	16	u.	u.	PROPN
amq-160	295	17	,	,	PUNCT
amq-160	295	18	hayes	hayes	PROPN
amq-160	295	19	a.	a.	PROPN
amq-160	295	20	,	,	PUNCT
amq-160	295	21	weinelt	weinelt	VERB
amq-160	295	22	m.	m.	NOUN
amq-160	295	23	,	,	PUNCT
amq-160	295	24	chen	chen	PROPN
amq-160	295	25	m.-t	m.-t	PROPN
amq-160	295	26	.	.	PUNCT
amq-160	295	27	,	,	PUNCT
amq-160	295	28	mix	mix	VERB
amq-160	295	29	a.c	a.c	PROPN
amq-160	295	30	.	.	PROPN
amq-160	295	31	,	,	PUNCT
amq-160	295	32	barrows	barrow	VERB
amq-160	295	33	t.t	t.t	PROPN
amq-160	295	34	.	.	PROPN
amq-160	295	35	,	,	PUNCT
amq-160	295	36	cortijo	cortijo	PROPN
amq-160	295	37	e.	e.	PROPN
amq-160	295	38	,	,	PUNCT
amq-160	295	39	duprat	duprat	PROPN
amq-160	295	40	j.	j.	PROPN
amq-160	295	41	,	,	PUNCT
amq-160	295	42	juggins	juggins	PROPN
amq-160	295	43	s.	s.	PROPN
amq-160	295	44	,	,	PUNCT
amq-160	295	45	waelbroeck	waelbroeck	PROPN
amq-160	295	46	c.	c.	PROPN
amq-160	295	47	(	(	PUNCT
amq-160	295	48	2005	2005	NUM
amq-160	295	49	)	)	PUNCT
amq-160	295	50	reconstruction	reconstruction	NOUN
amq-160	295	51	of	of	ADP
amq-160	295	52	the	the	DET
amq-160	295	53	glacial	glacial	ADJ
amq-160	295	54	atlantic	atlantic	PROPN
amq-160	295	55	and	and	CCONJ
amq-160	295	56	pacific	pacific	PROPN
amq-160	295	57	sea	sea	PROPN
amq-160	295	58	-	-	PUNCT
amq-160	295	59	surface	surface	NOUN
amq-160	295	60	temperatures	temperature	NOUN
amq-160	295	61	from	from	ADP
amq-160	295	62	assemblages	assemblage	NOUN
amq-160	295	63	of	of	ADP
amq-160	295	64	planktonic	planktonic	ADJ
amq-160	295	65	foraminifera	foraminifera	NOUN
amq-160	295	66	:	:	PUNCT
amq-160	295	67	multi	multi	ADJ
amq-160	295	68	-	-	ADJ
amq-160	295	69	technique	technique	ADJ
amq-160	295	70	approach	approach	NOUN
amq-160	295	71	based	base	VERB
amq-160	295	72	on	on	ADP
amq-160	295	73	geographically	geographically	ADV
amq-160	295	74	constrained	constrain	VERB
amq-160	295	75	calibration	calibration	NOUN
amq-160	295	76	datasets	dataset	NOUN
amq-160	295	77	.	.	PUNCT
amq-160	296	1	quaternary	quaternary	ADJ
amq-160	296	2	science	science	NOUN
amq-160	296	3	reviews	review	NOUN
amq-160	296	4	,	,	PUNCT
amq-160	296	5	24	24	NUM
amq-160	296	6	,	,	PUNCT
amq-160	296	7	951	951	NUM
amq-160	296	8	-	-	SYM
amq-160	296	9	998	998	NUM
amq-160	296	10	.	.	PUNCT
amq-160	297	1	locarnini	locarnini	PROPN
amq-160	297	2	r.a	r.a	PROPN
amq-160	297	3	.	.	PROPN
amq-160	297	4	,	,	PUNCT
amq-160	297	5	mishonov	mishonov	PROPN
amq-160	298	1	a.v	a.v	PROPN
amq-160	298	2	.	.	PROPN
amq-160	298	3	,	,	PUNCT
amq-160	298	4	antonov	antonov	PROPN
amq-160	298	5	j.i	j.i	PROPN
amq-160	298	6	.	.	PROPN
amq-160	298	7	,	,	PUNCT
amq-160	298	8	boyer	boyer	PROPN
amq-160	298	9	t.p	t.p	PROPN
amq-160	298	10	.	.	PROPN
amq-160	298	11	,	,	PUNCT
amq-160	298	12	garcia	garcia	PROPN
amq-160	298	13	h.e	h.e	PROPN
amq-160	298	14	.	.	PROPN
amq-160	298	15	(	(	PUNCT
amq-160	298	16	2010	2010	NUM
amq-160	298	17	)	)	PUNCT
amq-160	298	18	world	world	NOUN
amq-160	298	19	ocean	ocean	PROPN
amq-160	298	20	atlas	atlas	PROPN
amq-160	298	21	2009	2009	NUM
amq-160	298	22	,	,	PUNCT
amq-160	298	23	volume	volume	NOUN
amq-160	298	24	1	1	NUM
amq-160	298	25	:	:	PUNCT
amq-160	298	26	temperature	temperature	NOUN
amq-160	298	27	.	.	PUNCT
amq-160	299	1	s.	s.	PROPN
amq-160	299	2	levitus	levitus	PROPN
amq-160	299	3	,	,	PUNCT
amq-160	299	4	ed	ed	PROPN
amq-160	299	5	.	.	PROPN
amq-160	299	6	,	,	PUNCT
amq-160	299	7	noaa	noaa	PROPN
amq-160	299	8	atlas	atlas	PROPN
amq-160	299	9	nesdis	nesdis	PROPN
amq-160	299	10	68	68	NUM
amq-160	299	11	,	,	PUNCT
amq-160	299	12	u.s	u.s	PROPN
amq-160	299	13	.	.	PROPN
amq-160	299	14	government	government	NOUN
amq-160	299	15	printing	printing	NOUN
amq-160	299	16	office	office	NOUN
amq-160	299	17	,	,	PUNCT
amq-160	299	18	washington	washington	PROPN
amq-160	299	19	,	,	PUNCT
amq-160	299	20	d.c	d.c	PROPN
amq-160	299	21	.	.	PROPN
amq-160	299	22	,	,	PUNCT
amq-160	299	23	pp	pp	ADJ
amq-160	299	24	.	.	PUNCT
amq-160	300	1	184	184	X
amq-160	300	2	.	.	PUNCT
amq-160	301	1	malmgren	malmgren	PROPN
amq-160	301	2	b.	b.	PROPN
amq-160	301	3	a.	a.	PROPN
amq-160	301	4	,	,	PUNCT
amq-160	301	5	kucera	kucera	NOUN
amq-160	301	6	m.	m.	NOUN
amq-160	301	7	,	,	PUNCT
amq-160	301	8	nyberg	nyberg	PROPN
amq-160	301	9	j.	j.	PROPN
amq-160	301	10	,	,	PUNCT
amq-160	301	11	waelbroeck	waelbroeck	PROPN
amq-160	301	12	c.	c.	PROPN
amq-160	301	13	(	(	PUNCT
amq-160	301	14	2001	2001	NUM
amq-160	301	15	)	)	PUNCT
amq-160	301	16	comparison	comparison	NOUN
amq-160	301	17	of	of	ADP
amq-160	301	18	statistical	statistical	ADJ
amq-160	301	19	and	and	CCONJ
amq-160	301	20	artificial	artificial	ADJ
amq-160	301	21	neural	neural	ADJ
amq-160	301	22	network	network	NOUN
amq-160	301	23	techniques	technique	NOUN
amq-160	301	24	for	for	ADP
amq-160	301	25	estimating	estimate	VERB
amq-160	301	26	past	past	ADJ
amq-160	301	27	sea	sea	NOUN
amq-160	301	28	surface	surface	NOUN
amq-160	301	29	temperatures	temperature	NOUN
amq-160	301	30	from	from	ADP
amq-160	301	31	planktonic	planktonic	ADJ
amq-160	301	32	foraminifer	foraminifer	ADJ
amq-160	301	33	census	census	NOUN
amq-160	301	34	data	datum	NOUN
amq-160	301	35	.	.	PUNCT
amq-160	302	1	paleoceanography	paleoceanography	NOUN
amq-160	302	2	,	,	PUNCT
amq-160	302	3	16(5	16(5	NUM
amq-160	302	4	)	)	PUNCT
amq-160	302	5	,	,	PUNCT
amq-160	302	6	520	520	NUM
amq-160	302	7	-	-	SYM
amq-160	302	8	530	530	NUM
amq-160	302	9	.	.	PUNCT
amq-160	303	1	doi	doi	NOUN
amq-160	303	2	:	:	PUNCT
amq-160	303	3	10.1029/2000pa000562	10.1029/2000pa000562	ADJ
amq-160	303	4	.	.	PUNCT
amq-160	304	1	martín	martín	NOUN
amq-160	304	2	-	-	PUNCT
amq-160	304	3	fernández	fernández	PROPN
amq-160	304	4	j.a	j.a	PROPN
amq-160	304	5	.	.	PROPN
amq-160	304	6	,	,	PUNCT
amq-160	304	7	thió	thió	PROPN
amq-160	304	8	-	-	PUNCT
amq-160	304	9	henestrosa	henestrosa	PROPN
amq-160	304	10	,	,	PUNCT
amq-160	304	11	s.	s.	PROPN
amq-160	304	12	(	(	PUNCT
amq-160	304	13	eds	eds	PROPN
amq-160	304	14	.	.	PUNCT
amq-160	304	15	)	)	PUNCT
amq-160	305	1	(	(	PUNCT
amq-160	305	2	2016a	2016a	X
amq-160	305	3	)	)	PUNCT
amq-160	305	4	compositional	compositional	ADJ
amq-160	305	5	data	datum	NOUN
amq-160	305	6	analysis	analysis	NOUN
amq-160	305	7	:	:	PUNCT
amq-160	305	8	codawork	codawork	NOUN
amq-160	305	9	,	,	PUNCT
amq-160	305	10	l’escala	l’escala	PROPN
amq-160	305	11	,	,	PUNCT
amq-160	305	12	spain	spain	PROPN
amq-160	305	13	,	,	PUNCT
amq-160	305	14	june	june	PROPN
amq-160	305	15	2015	2015	NUM
amq-160	305	16	.	.	PUNCT
amq-160	306	1	springer	springer	NOUN
amq-160	306	2	proceedings	proceeding	NOUN
amq-160	306	3	in	in	ADP
amq-160	306	4	mathematics	mathematics	PROPN
amq-160	306	5	&	&	CCONJ
amq-160	306	6	statistics	statistic	NOUN
amq-160	306	7	,	,	PUNCT
amq-160	306	8	187	187	NUM
amq-160	306	9	.	.	PUNCT
amq-160	306	10	springer	springer	NOUN
amq-160	306	11	international	international	ADJ
amq-160	306	12	publishing	publishing	NOUN
amq-160	306	13	,	,	PUNCT
amq-160	306	14	new	new	PROPN
amq-160	306	15	york	york	PROPN
amq-160	306	16	(	(	PUNCT
amq-160	306	17	usa	usa	PROPN
amq-160	306	18	)	)	PUNCT
amq-160	306	19	,	,	PUNCT
amq-160	307	1	pp	pp	ADJ
amq-160	307	2	.	.	PUNCT
amq-160	308	1	209	209	NUM
amq-160	308	2	.	.	PUNCT
amq-160	309	1	martín	martín	NOUN
amq-160	309	2	-	-	PUNCT
amq-160	309	3	fernández	fernández	PROPN
amq-160	309	4	j.a	j.a	PROPN
amq-160	309	5	.	.	PROPN
amq-160	309	6	,	,	PUNCT
amq-160	309	7	thió	thió	PROPN
amq-160	309	8	-	-	PUNCT
amq-160	309	9	henestrosa	henestrosa	PROPN
amq-160	309	10	,	,	PUNCT
amq-160	309	11	s.	s.	PROPN
amq-160	309	12	(	(	PUNCT
amq-160	309	13	guest	guest	PROPN
amq-160	309	14	eds	ed	NOUN
amq-160	309	15	.	.	PUNCT
amq-160	309	16	)	)	PUNCT
amq-160	310	1	(	(	PUNCT
amq-160	310	2	2016b	2016b	NUM
amq-160	310	3	)	)	PUNCT
amq-160	310	4	compositional	compositional	ADJ
amq-160	310	5	data	datum	NOUN
amq-160	310	6	analysis	analysis	NOUN
amq-160	310	7	.	.	PUNCT
amq-160	311	1	austrian	austrian	ADJ
amq-160	311	2	journal	journal	PROPN
amq-160	311	3	of	of	ADP
amq-160	311	4	statistics	statistic	NOUN
amq-160	311	5	,	,	PUNCT
amq-160	311	6	45(4	45(4	NUM
amq-160	311	7	)	)	PUNCT
amq-160	311	8	,	,	PUNCT
amq-160	311	9	pp.95	pp.95	NOUN
amq-160	311	10	.	.	PUNCT
amq-160	312	1	martín	martín	NOUN
amq-160	312	2	-	-	PUNCT
amq-160	312	3	fernández	fernández	PROPN
amq-160	312	4	j.a	j.a	PROPN
amq-160	312	5	.	.	PROPN
amq-160	312	6	,	,	PUNCT
amq-160	312	7	barceló	barceló	PROPN
amq-160	312	8	-	-	PUNCT
amq-160	312	9	vidal	vidal	PROPN
amq-160	312	10	c.	c.	PROPN
amq-160	312	11	,	,	PUNCT
amq-160	312	12	pawlowskyglahn	pawlowskyglahn	NOUN
amq-160	312	13	v.	v.	ADP
amq-160	312	14	(	(	PUNCT
amq-160	312	15	2003	2003	NUM
amq-160	312	16	)	)	PUNCT
amq-160	312	17	dealing	deal	VERB
amq-160	312	18	with	with	ADP
amq-160	312	19	zeros	zero	NOUN
amq-160	312	20	and	and	CCONJ
amq-160	312	21	missing	miss	VERB
amq-160	312	22	values	value	NOUN
amq-160	312	23	in	in	ADP
amq-160	312	24	compositional	compositional	ADJ
amq-160	312	25	datasets	dataset	NOUN
amq-160	312	26	using	use	VERB
amq-160	312	27	nonparametric	nonparametric	ADJ
amq-160	312	28	imputation	imputation	NOUN
amq-160	312	29	.	.	PUNCT
amq-160	313	1	mathematical	mathematical	ADJ
amq-160	313	2	geology	geology	NOUN
amq-160	313	3	,	,	PUNCT
amq-160	313	4	35(3	35(3	NUM
amq-160	313	5	)	)	PUNCT
amq-160	313	6	,	,	PUNCT
amq-160	313	7	253	253	NUM
amq-160	313	8	-	-	SYM
amq-160	313	9	278	278	NUM
amq-160	313	10	.	.	PUNCT
amq-160	314	1	martín	martín	NOUN
amq-160	314	2	-	-	PUNCT
amq-160	314	3	fernández	fernández	PROPN
amq-160	314	4	j.a	j.a	PROPN
amq-160	314	5	.	.	PROPN
amq-160	314	6	,	,	PUNCT
amq-160	314	7	hron	hron	PROPN
amq-160	314	8	k.	k.	PROPN
amq-160	314	9	,	,	PUNCT
amq-160	314	10	templ	templ	NOUN
amq-160	314	11	m.	m.	NOUN
amq-160	314	12	,	,	PUNCT
amq-160	314	13	filzmoser	filzmoser	NOUN
amq-160	314	14	p.	p.	NOUN
amq-160	314	15	,	,	PUNCT
amq-160	314	16	palarea	palarea	NOUN
amq-160	314	17	-	-	PUNCT
amq-160	314	18	albaladejo	albaladejo	ADJ
amq-160	314	19	j.	j.	PROPN
amq-160	314	20	(	(	PUNCT
amq-160	314	21	2015	2015	NUM
amq-160	314	22	)	)	PUNCT
amq-160	314	23	bayesianmultiplicative	bayesianmultiplicative	ADJ
amq-160	314	24	treatment	treatment	NOUN
amq-160	314	25	of	of	ADP
amq-160	314	26	count	count	ADJ
amq-160	314	27	zeros	zero	NOUN
amq-160	314	28	in	in	ADP
amq-160	314	29	compositional	compositional	ADJ
amq-160	314	30	datasets	dataset	NOUN
amq-160	314	31	.	.	PUNCT
amq-160	315	1	statistical	statistical	ADJ
amq-160	315	2	modelling	modelling	NOUN
amq-160	315	3	,	,	PUNCT
amq-160	315	4	15(2	15(2	NUM
amq-160	315	5	)	)	PUNCT
amq-160	315	6	,	,	PUNCT
amq-160	315	7	134158	134158	NUM
amq-160	315	8	.	.	PUNCT
amq-160	316	1	mateu	mateu	NOUN
amq-160	316	2	-	-	PUNCT
amq-160	316	3	figueras	figueras	PROPN
amq-160	316	4	g.	g.	PROPN
amq-160	316	5	,	,	PUNCT
amq-160	316	6	pawlowsky	pawlowsky	NOUN
amq-160	316	7	-	-	PUNCT
amq-160	316	8	glahn	glahn	NOUN
amq-160	316	9	v.	v.	NOUN
amq-160	316	10	,	,	PUNCT
amq-160	316	11	egozcue	egozcue	PROPN
amq-160	316	12	j.j	j.j	PROPN
amq-160	316	13	.	.	PROPN
amq-160	316	14	(	(	PUNCT
amq-160	316	15	2011	2011	NUM
amq-160	316	16	)	)	PUNCT
amq-160	316	17	(	(	PUNCT
amq-160	316	18	pawlowsky	pawlowsky	NOUN
amq-160	316	19	-	-	PUNCT
amq-160	316	20	glahn	glahn	NOUN
amq-160	316	21	v.	v.	NOUN
amq-160	316	22	,	,	PUNCT
amq-160	316	23	buccianti	buccianti	PROPN
amq-160	316	24	a.	a.	PROPN
amq-160	316	25	,	,	PUNCT
amq-160	316	26	eds	ed	NOUN
amq-160	316	27	)	)	PUNCT
amq-160	316	28	.	.	PUNCT
amq-160	317	1	john	john	PROPN
amq-160	317	2	wiley	wiley	PROPN
amq-160	317	3	&	&	CCONJ
amq-160	317	4	the	the	DET
amq-160	317	5	principle	principle	NOUN
amq-160	317	6	of	of	ADP
amq-160	317	7	working	work	VERB
amq-160	317	8	on	on	ADP
amq-160	317	9	coordinates	coordinate	NOUN
amq-160	317	10	,	,	PUNCT
amq-160	317	11	in	in	ADP
amq-160	317	12	compositional	compositional	ADJ
amq-160	317	13	data	datum	NOUN
amq-160	317	14	analysis	analysis	NOUN
amq-160	317	15	:	:	PUNCT
amq-160	317	16	theory	theory	NOUN
amq-160	317	17	and	and	CCONJ
amq-160	317	18	applications	application	NOUN
amq-160	317	19	sons	son	NOUN
amq-160	317	20	,	,	PUNCT
amq-160	317	21	ltd	ltd	PROPN
amq-160	317	22	,	,	PUNCT
amq-160	317	23	chichester	chichester	PROPN
amq-160	317	24	,	,	PUNCT
amq-160	317	25	uk	uk	PROPN
amq-160	317	26	,	,	PUNCT
amq-160	317	27	29	29	NUM
amq-160	317	28	-	-	SYM
amq-160	317	29	42	42	NUM
amq-160	317	30	.	.	PUNCT
amq-160	318	1	ortiz	ortiz	PROPN
amq-160	318	2	j.d	j.d	PROPN
amq-160	318	3	.	.	PROPN
amq-160	318	4	,	,	PUNCT
amq-160	318	5	mix	mix	VERB
amq-160	318	6	a.c	a.c	PROPN
amq-160	318	7	.	.	PUNCT
amq-160	318	8	(	(	PUNCT
amq-160	318	9	1997	1997	NUM
amq-160	318	10	)	)	PUNCT
amq-160	318	11	comparison	comparison	NOUN
amq-160	318	12	of	of	ADP
amq-160	318	13	imbrie	imbrie	NOUN
amq-160	318	14	-	-	PUNCT
amq-160	318	15	kipp	kipp	NOUN
amq-160	318	16	transfer	transfer	NOUN
amq-160	318	17	function	function	NOUN
amq-160	318	18	and	and	CCONJ
amq-160	318	19	modern	modern	ADJ
amq-160	318	20	analog	analog	NOUN
amq-160	318	21	temperature	temperature	NOUN
amq-160	318	22	estimates	estimate	NOUN
amq-160	318	23	using	use	VERB
amq-160	318	24	sediment	sediment	NOUN
amq-160	318	25	trap	trap	NOUN
amq-160	318	26	and	and	CCONJ
amq-160	318	27	core	core	NOUN
amq-160	318	28	top	top	ADJ
amq-160	318	29	foraminiferal	foraminiferal	ADJ
amq-160	318	30	faunas	fauna	NOUN
amq-160	318	31	.	.	PUNCT
amq-160	319	1	paleoceanography	paleoceanography	NOUN
amq-160	319	2	,	,	PUNCT
amq-160	319	3	12	12	NUM
amq-160	319	4	(	(	PUNCT
amq-160	319	5	2	2	NUM
amq-160	319	6	)	)	PUNCT
amq-160	319	7	,	,	PUNCT
amq-160	319	8	175	175	NUM
amq-160	319	9	-	-	SYM
amq-160	319	10	190	190	NUM
amq-160	319	11	.	.	PUNCT
amq-160	320	1	pailler	pailler	PROPN
amq-160	320	2	d.	d.	PROPN
amq-160	320	3	,	,	PUNCT
amq-160	320	4	bard	bard	ADJ
amq-160	320	5	é	é	PROPN
amq-160	320	6	.	.	PUNCT
amq-160	321	1	(	(	PUNCT
amq-160	321	2	2002	2002	NUM
amq-160	321	3	)	)	PUNCT
amq-160	321	4	high	high	ADJ
amq-160	321	5	frequency	frequency	NOUN
amq-160	321	6	palaeoceanographic	palaeoceanographic	ADJ
amq-160	321	7	changes	change	NOUN
amq-160	321	8	during	during	ADP
amq-160	321	9	the	the	DET
amq-160	321	10	past	past	ADJ
amq-160	321	11	140000	140000	NUM
amq-160	321	12	yr	yr	NOUN
amq-160	321	13	recorded	record	VERB
amq-160	321	14	by	by	ADP
amq-160	321	15	the	the	DET
amq-160	321	16	organic	organic	ADJ
amq-160	321	17	matter	matter	NOUN
amq-160	321	18	in	in	ADP
amq-160	321	19	sediments	sediment	NOUN
amq-160	321	20	of	of	ADP
amq-160	321	21	the	the	DET
amq-160	321	22	iberian	iberian	ADJ
amq-160	321	23	margin	margin	NOUN
amq-160	321	24	.	.	PUNCT
amq-160	322	1	palaeogeography	palaeogeography	NOUN
amq-160	322	2	,	,	PUNCT
amq-160	322	3	palaeoclimatology	palaeoclimatology	NOUN
amq-160	322	4	,	,	PUNCT
amq-160	322	5	palaeoecology	palaeoecology	NOUN
amq-160	322	6	,	,	PUNCT
amq-160	322	7	181(4	181(4	NUM
amq-160	322	8	)	)	PUNCT
amq-160	322	9	,	,	PUNCT
amq-160	322	10	431	431	NUM
amq-160	322	11	-	-	SYM
amq-160	322	12	452	452	NUM
amq-160	322	13	.	.	PUNCT
amq-160	323	1	pawlowsky	pawlowsky	ADJ
amq-160	323	2	-	-	PUNCT
amq-160	323	3	glahn	glahn	NOUN
amq-160	323	4	v.	v.	NOUN
amq-160	323	5	,	,	PUNCT
amq-160	323	6	egozcue	egozcue	PROPN
amq-160	323	7	j.j	j.j	PROPN
amq-160	323	8	.	.	PROPN
amq-160	323	9	,	,	PUNCT
amq-160	323	10	tolosana	tolosana	PROPN
amq-160	323	11	-	-	PUNCT
amq-160	323	12	delgado	delgado	PROPN
amq-160	323	13	r.	r.	PROPN
amq-160	323	14	(	(	PUNCT
amq-160	323	15	2015	2015	NUM
amq-160	323	16	)	)	PUNCT
amq-160	323	17	modeling	modeling	NOUN
amq-160	323	18	and	and	CCONJ
amq-160	323	19	analysis	analysis	NOUN
amq-160	323	20	of	of	ADP
amq-160	323	21	compositional	compositional	ADJ
amq-160	323	22	data	datum	NOUN
amq-160	323	23	.	.	PUNCT
amq-160	324	1	john	john	PROPN
amq-160	324	2	wiley	wiley	PROPN
amq-160	324	3	&	&	CCONJ
amq-160	324	4	sons	sons	PROPN
amq-160	324	5	,	,	PUNCT
amq-160	324	6	chichester	chichester	PROPN
amq-160	324	7	,	,	PUNCT
amq-160	324	8	pp	pp	X
amq-160	324	9	.	.	PUNCT
amq-160	324	10	378	378	NUM
amq-160	324	11	.	.	PUNCT
amq-160	325	1	peña	peña	PROPN
amq-160	325	2	d.	d.	PROPN
amq-160	325	3	,	,	PUNCT
amq-160	325	4	prieto	prieto	PROPN
amq-160	325	5	f.	f.	PROPN
amq-160	325	6	(	(	PUNCT
amq-160	325	7	2001	2001	NUM
amq-160	325	8	)	)	PUNCT
amq-160	325	9	multivariate	multivariate	NOUN
amq-160	325	10	outlier	outlier	NOUN
amq-160	325	11	detection	detection	NOUN
amq-160	325	12	and	and	CCONJ
amq-160	325	13	robust	robust	ADJ
amq-160	325	14	covariance	covariance	NOUN
amq-160	325	15	matrix	matrix	NOUN
amq-160	325	16	estimation	estimation	NOUN
amq-160	325	17	.	.	PUNCT
amq-160	326	1	technometrics	technometric	NOUN
amq-160	326	2	,	,	PUNCT
amq-160	326	3	43(3	43(3	PROPN
amq-160	326	4	)	)	PUNCT
amq-160	326	5	,	,	PUNCT
amq-160	326	6	286	286	NUM
amq-160	326	7	-	-	SYM
amq-160	326	8	310	310	NUM
amq-160	326	9	.	.	PUNCT
amq-160	327	1	pflaumann	pflaumann	PROPN
amq-160	327	2	u.	u.	PROPN
amq-160	327	3	,	,	PUNCT
amq-160	327	4	duprat	duprat	NOUN
amq-160	327	5	j.	j.	PROPN
amq-160	327	6	,	,	PUNCT
amq-160	327	7	pujol	pujol	PROPN
amq-160	327	8	c.	c.	PROPN
amq-160	327	9	,	,	PUNCT
amq-160	327	10	labeyrie	labeyrie	NOUN
amq-160	327	11	,	,	PUNCT
amq-160	327	12	l.d	l.d	PROPN
amq-160	327	13	.	.	PROPN
amq-160	327	14	(	(	PUNCT
amq-160	327	15	1996	1996	NUM
amq-160	327	16	)	)	PUNCT
amq-160	327	17	simmax	simmax	NOUN
amq-160	327	18	:	:	PUNCT
amq-160	327	19	a	a	DET
amq-160	327	20	modern	modern	ADJ
amq-160	327	21	analogue	analogue	NOUN
amq-160	327	22	technique	technique	NOUN
amq-160	327	23	to	to	ADP
amq-160	327	24	deduce	deduce	VERB
amq-160	327	25	atlantic	atlantic	PROPN
amq-160	327	26	sea	sea	PROPN
amq-160	327	27	surface	surface	NOUN
amq-160	327	28	temperatures	temperature	NOUN
amq-160	327	29	from	from	ADP
amq-160	327	30	planktonic	planktonic	ADJ
amq-160	327	31	foraminifer	foraminifer	NOUN
amq-160	327	32	in	in	ADP
amq-160	327	33	deep	deep	ADJ
amq-160	327	34	-	-	PUNCT
amq-160	327	35	sea	sea	NOUN
amq-160	327	36	sediments	sediment	NOUN
amq-160	327	37	.	.	PUNCT
amq-160	328	1	40	40	NUM
amq-160	328	2	di	di	NOUN
amq-160	328	3	donato	donato	NOUN
amq-160	328	4	v.	v.	ADP
amq-160	328	5	et	et	PROPN
amq-160	328	6	al	al	PROPN
amq-160	328	7	.	.	PROPN
amq-160	328	8	41	41	NUM
amq-160	328	9	paleoceanography	paleoceanography	NOUN
amq-160	328	10	,	,	PUNCT
amq-160	328	11	11	11	NUM
amq-160	328	12	,	,	PUNCT
amq-160	328	13	15	15	NUM
amq-160	328	14	-	-	SYM
amq-160	328	15	36	36	NUM
amq-160	328	16	.	.	PUNCT
amq-160	329	1	prell	prell	PROPN
amq-160	329	2	w.l	w.l	PROPN
amq-160	329	3	.	.	PROPN
amq-160	329	4	(	(	PUNCT
amq-160	329	5	1985	1985	NUM
amq-160	329	6	)	)	PUNCT
amq-160	329	7	the	the	DET
amq-160	329	8	stability	stability	NOUN
amq-160	329	9	of	of	ADP
amq-160	329	10	low	low	ADJ
amq-160	329	11	-	-	PUNCT
amq-160	329	12	latitude	latitude	NOUN
amq-160	329	13	seasurface	seasurface	NOUN
amq-160	329	14	temperatures	temperature	NOUN
amq-160	329	15	:	:	PUNCT
amq-160	329	16	an	an	DET
amq-160	329	17	evaluation	evaluation	NOUN
amq-160	329	18	of	of	ADP
amq-160	329	19	the	the	DET
amq-160	329	20	climap	climap	NOUN
amq-160	329	21	reconstruction	reconstruction	NOUN
amq-160	329	22	with	with	ADP
amq-160	329	23	emphasis	emphasis	NOUN
amq-160	329	24	on	on	ADP
amq-160	329	25	the	the	DET
amq-160	329	26	positive	positive	ADJ
amq-160	329	27	sst	sst	NOUN
amq-160	329	28	anomalies	anomaly	NOUN
amq-160	329	29	,	,	PUNCT
amq-160	329	30	rep	rep	PROPN
amq-160	329	31	.	.	PROPN
amq-160	329	32	tr025	tr025	PROPN
amq-160	329	33	,	,	PUNCT
amq-160	329	34	60	60	NUM
amq-160	329	35	p.	p.	NOUN
amq-160	329	36	,	,	PUNCT
amq-160	329	37	u.s	u.s	PROPN
amq-160	329	38	.	.	PROPN
amq-160	329	39	dep	dep	PROPN
amq-160	329	40	.	.	PROPN
amq-160	329	41	of	of	ADP
amq-160	329	42	energy	energy	NOUN
amq-160	329	43	,	,	PUNCT
amq-160	329	44	washington	washington	PROPN
amq-160	329	45	dc	dc	PROPN
amq-160	329	46	,	,	PUNCT
amq-160	329	47	pp	pp	ADJ
amq-160	329	48	.	.	PUNCT
amq-160	330	1	60	60	NUM
amq-160	330	2	.	.	PUNCT
amq-160	331	1	prell	prell	PROPN
amq-160	331	2	w.	w.	PROPN
amq-160	331	3	,	,	PUNCT
amq-160	331	4	martin	martin	PROPN
amq-160	331	5	a.	a.	PROPN
amq-160	331	6	,	,	PUNCT
amq-160	331	7	cullen	cullen	PROPN
amq-160	331	8	j.	j.	PROPN
amq-160	331	9	,	,	PUNCT
amq-160	331	10	trend	trend	NOUN
amq-160	331	11	m.	m.	NOUN
amq-160	331	12	(	(	PUNCT
amq-160	331	13	1999	1999	NUM
amq-160	331	14	)	)	PUNCT
amq-160	331	15	the	the	DET
amq-160	331	16	brown	brown	ADJ
amq-160	331	17	university	university	PROPN
amq-160	331	18	foraminiferal	foraminiferal	ADJ
amq-160	331	19	data	datum	NOUN
amq-160	331	20	base	base	NOUN
amq-160	331	21	.	.	PUNCT
amq-160	332	1	igbp	igbp	ADJ
amq-160	332	2	pages	page	NOUN
amq-160	332	3	/	/	SYM
amq-160	332	4	world	world	NOUN
amq-160	332	5	data	datum	NOUN
amq-160	332	6	center	center	NOUN
amq-160	332	7	-	-	PUNCT
amq-160	332	8	a	a	NOUN
amq-160	332	9	for	for	ADP
amq-160	332	10	paleoclimatology	paleoclimatology	NOUN
amq-160	332	11	data	datum	NOUN
amq-160	332	12	contribution	contribution	NOUN
amq-160	332	13	series	series	NOUN
amq-160	332	14	#	#	PROPN
amq-160	332	15	1999	1999	NUM
amq-160	332	16	-	-	SYM
amq-160	332	17	027	027	NUM
amq-160	332	18	.	.	PUNCT
amq-160	333	1	noaa/	noaa/	NUM
amq-160	333	2	ngdc	ngdc	NOUN
amq-160	333	3	paleoclimatology	paleoclimatology	NOUN
amq-160	333	4	program	program	NOUN
amq-160	333	5	,	,	PUNCT
amq-160	333	6	boulder	boulder	NOUN
amq-160	333	7	,	,	PUNCT
amq-160	333	8	co	co	NOUN
amq-160	333	9	,	,	PUNCT
amq-160	333	10	usa	usa	PROPN
amq-160	333	11	.	.	PROPN
amq-160	334	1	https://www.ncdc.noaa.gov/paleo/metadata/noaaocean-5908.html	https://www.ncdc.noaa.gov/paleo/metadata/noaaocean-5908.html	PROPN
amq-160	334	2	rasmussen	rasmussen	PROPN
amq-160	334	3	s.o	s.o	PROPN
amq-160	334	4	.	.	PROPN
amq-160	334	5	,	,	PUNCT
amq-160	334	6	bigler	bigler	ADJ
amq-160	334	7	m.	m.	NOUN
amq-160	334	8	,	,	PUNCT
amq-160	334	9	blockley	blockley	NOUN
amq-160	334	10	s.p	s.p	PROPN
amq-160	334	11	.	.	PROPN
amq-160	334	12	,	,	PUNCT
amq-160	334	13	blunier	blunier	ADJ
amq-160	334	14	t.	t.	PROPN
amq-160	334	15	,	,	PUNCT
amq-160	334	16	buchardt	buchardt	NOUN
amq-160	334	17	s.l	s.l	PROPN
amq-160	334	18	.	.	PROPN
amq-160	334	19	,	,	PUNCT
amq-160	334	20	clausen	clausen	PROPN
amq-160	334	21	h.b	h.b	PROPN
amq-160	334	22	.	.	PROPN
amq-160	334	23	,	,	PUNCT
amq-160	334	24	cvijanovic	cvijanovic	PROPN
amq-160	334	25	i.	i.	PROPN
amq-160	334	26	,	,	PUNCT
amq-160	334	27	dahl	dahl	PROPN
amq-160	334	28	-	-	PROPN
amq-160	334	29	jensen	jensen	PROPN
amq-160	334	30	d.	d.	PROPN
amq-160	334	31	,	,	PUNCT
amq-160	334	32	johnsen	johnsen	PROPN
amq-160	334	33	s.j	s.j	PROPN
amq-160	334	34	.	.	PROPN
amq-160	334	35	,	,	PUNCT
amq-160	334	36	fischer	fischer	PROPN
amq-160	334	37	h.	h.	PROPN
amq-160	334	38	,	,	PUNCT
amq-160	334	39	gkinis	gkinis	PROPN
amq-160	334	40	v.	v.	ADP
amq-160	334	41	,	,	PUNCT
amq-160	334	42	guillevic	guillevic	ADJ
amq-160	334	43	m.	m.	NOUN
amq-160	334	44	,	,	PUNCT
amq-160	334	45	hoek	hoek	PROPN
amq-160	334	46	w.z	w.z	PROPN
amq-160	334	47	.	.	PROPN
amq-160	334	48	,	,	PUNCT
amq-160	334	49	lowe	lowe	PROPN
amq-160	334	50	j.j	j.j	PROPN
amq-160	334	51	.	.	PROPN
amq-160	334	52	,	,	PUNCT
amq-160	334	53	pedro	pedro	PROPN
amq-160	334	54	j.b	j.b	PROPN
amq-160	334	55	.	.	PROPN
amq-160	334	56	,	,	PUNCT
amq-160	334	57	popp	popp	PROPN
amq-160	334	58	t.	t.	PROPN
amq-160	334	59	,	,	PUNCT
amq-160	334	60	seierstad	seierstad	PROPN
amq-160	334	61	i.k	i.k	PROPN
amq-160	334	62	.	.	PROPN
amq-160	334	63	,	,	PUNCT
amq-160	334	64	peder	peder	PROPN
amq-160	334	65	steffensen	steffensen	PROPN
amq-160	334	66	j.	j.	PROPN
amq-160	334	67	,	,	PUNCT
amq-160	334	68	svensson	svensson	PROPN
amq-160	334	69	a.m.	a.m.	PROPN
amq-160	334	70	,	,	PUNCT
amq-160	334	71	vallelonga	vallelonga	ADV
amq-160	334	72	p.	p.	NOUN
amq-160	334	73	,	,	PUNCT
amq-160	334	74	vinther	vinther	PROPN
amq-160	334	75	b.m	b.m	AUX
amq-160	334	76	.	.	PROPN
amq-160	334	77	,	,	PUNCT
amq-160	334	78	walker	walker	PROPN
amq-160	334	79	m.j.c	m.j.c	PROPN
amq-160	334	80	.	.	PROPN
amq-160	334	81	,	,	PUNCT
amq-160	334	82	wheatley	wheatley	PROPN
amq-160	334	83	j.j	j.j	PROPN
amq-160	334	84	.	.	PROPN
amq-160	334	85	,	,	PUNCT
amq-160	334	86	winstrup	winstrup	ADJ
amq-160	334	87	m.	m.	NOUN
amq-160	334	88	(	(	PUNCT
amq-160	334	89	2014	2014	NUM
amq-160	334	90	)	)	PUNCT
amq-160	334	91	a	a	DET
amq-160	334	92	stratigraphic	stratigraphic	ADJ
amq-160	334	93	framework	framework	NOUN
amq-160	334	94	for	for	ADP
amq-160	334	95	abrupt	abrupt	ADJ
amq-160	334	96	climatic	climatic	ADJ
amq-160	334	97	changes	change	NOUN
amq-160	334	98	during	during	ADP
amq-160	334	99	the	the	DET
amq-160	334	100	last	last	ADJ
amq-160	334	101	glacial	glacial	ADJ
amq-160	334	102	period	period	NOUN
amq-160	334	103	based	base	VERB
amq-160	334	104	on	on	ADP
amq-160	334	105	three	three	NUM
amq-160	334	106	synchronized	synchronize	VERB
amq-160	334	107	greenland	greenland	PROPN
amq-160	334	108	ice	ice	NOUN
amq-160	334	109	-	-	PUNCT
amq-160	334	110	core	core	NOUN
amq-160	334	111	records	record	NOUN
amq-160	334	112	:	:	PUNCT
amq-160	334	113	refining	refining	NOUN
amq-160	334	114	and	and	CCONJ
amq-160	334	115	extending	extend	VERB
amq-160	334	116	the	the	DET
amq-160	334	117	intimate	intimate	ADJ
amq-160	334	118	event	event	NOUN
amq-160	334	119	stratigraphy	stratigraphy	NOUN
amq-160	334	120	.	.	PUNCT
amq-160	335	1	quaternary	quaternary	ADJ
amq-160	335	2	science	science	NOUN
amq-160	335	3	reviews	review	NOUN
amq-160	335	4	,	,	PUNCT
amq-160	335	5	106	106	NUM
amq-160	335	6	,	,	PUNCT
amq-160	335	7	1428	1428	NUM
amq-160	335	8	.	.	PUNCT
amq-160	336	1	sbaffi	sbaffi	PROPN
amq-160	336	2	l.	l.	PROPN
amq-160	336	3	,	,	PUNCT
amq-160	336	4	wezel	wezel	PROPN
amq-160	336	5	f.c	f.c	PROPN
amq-160	336	6	.	.	PROPN
amq-160	336	7	,	,	PUNCT
amq-160	336	8	kallel	kallel	ADJ
amq-160	336	9	n.	n.	NOUN
amq-160	336	10	,	,	PUNCT
amq-160	336	11	paterne	paterne	ADJ
amq-160	336	12	m.	m.	NOUN
amq-160	336	13	,	,	PUNCT
amq-160	336	14	cacho	cacho	PROPN
amq-160	336	15	i.	i.	PROPN
amq-160	336	16	,	,	PUNCT
amq-160	336	17	ziveri	ziveri	PROPN
amq-160	336	18	p.	p.	PROPN
amq-160	336	19	,	,	PUNCT
amq-160	336	20	shackleton	shackleton	PROPN
amq-160	336	21	n.	n.	PROPN
amq-160	336	22	(	(	PUNCT
amq-160	336	23	2001	2001	NUM
amq-160	336	24	)	)	PUNCT
amq-160	336	25	response	response	NOUN
amq-160	336	26	of	of	ADP
amq-160	336	27	the	the	DET
amq-160	336	28	pelagic	pelagic	ADJ
amq-160	336	29	environment	environment	NOUN
amq-160	336	30	to	to	ADP
amq-160	336	31	palaeoclimatic	palaeoclimatic	ADJ
amq-160	336	32	changes	change	NOUN
amq-160	336	33	in	in	ADP
amq-160	336	34	the	the	DET
amq-160	336	35	central	central	PROPN
amq-160	336	36	mediterranean	mediterranean	PROPN
amq-160	336	37	sea	sea	PROPN
amq-160	336	38	during	during	ADP
amq-160	336	39	the	the	DET
amq-160	336	40	late	late	ADJ
amq-160	336	41	quaternary	quaternary	ADJ
amq-160	336	42	,	,	PUNCT
amq-160	336	43	marine	marine	ADJ
amq-160	336	44	geology	geology	NOUN
amq-160	336	45	,	,	PUNCT
amq-160	336	46	178(1	178(1	NUM
amq-160	336	47	-	-	SYM
amq-160	336	48	4	4	NUM
amq-160	336	49	)	)	PUNCT
amq-160	336	50	,	,	PUNCT
amq-160	336	51	39	39	NUM
amq-160	336	52	-	-	SYM
amq-160	336	53	62	62	NUM
amq-160	336	54	.	.	PUNCT
amq-160	337	1	schlitzer	schlitzer	PROPN
amq-160	337	2	r.	r.	PROPN
amq-160	337	3	(	(	PUNCT
amq-160	337	4	2018	2018	NUM
amq-160	337	5	)	)	PUNCT
amq-160	337	6	ocean	ocean	NOUN
amq-160	337	7	data	datum	NOUN
amq-160	337	8	view	view	NOUN
amq-160	337	9	.	.	PUNCT
amq-160	338	1	http://odv.awi.de	http://odv.awi.de	NUM
amq-160	338	2	schönfeld	schönfeld	PROPN
amq-160	338	3	j.	j.	PROPN
amq-160	338	4	,	,	PUNCT
amq-160	338	5	zahn	zahn	PROPN
amq-160	338	6	.	.	PUNCT
amq-160	338	7	r.	r.	PROPN
amq-160	338	8	,	,	PUNCT
amq-160	338	9	de	de	PROPN
amq-160	338	10	abreu	abreu	PROPN
amq-160	338	11	.	.	PUNCT
amq-160	339	1	l.	l.	PROPN
amq-160	339	2	(	(	PUNCT
amq-160	339	3	2003	2003	NUM
amq-160	339	4	)	)	PUNCT
amq-160	339	5	stable	stable	ADJ
amq-160	339	6	isotope	isotope	NOUN
amq-160	339	7	ratios	ratio	NOUN
amq-160	339	8	and	and	CCONJ
amq-160	339	9	foraminiferal	foraminiferal	ADJ
amq-160	339	10	abundance	abundance	NOUN
amq-160	339	11	of	of	ADP
amq-160	339	12	sediment	sediment	NOUN
amq-160	339	13	cores	core	NOUN
amq-160	339	14	from	from	ADP
amq-160	339	15	the	the	DET
amq-160	339	16	western	western	ADJ
amq-160	339	17	iberian	iberian	ADJ
amq-160	339	18	margin	margin	NOUN
amq-160	339	19	.	.	PUNCT
amq-160	340	1	doi:10.1594	doi:10.1594	PROPN
amq-160	340	2	/	/	SYM
amq-160	340	3	pangaea.733303	pangaea.733303	NOUN
amq-160	340	4	,	,	PUNCT
amq-160	340	5	supplement	supplement	VERB
amq-160	340	6	to	to	ADP
amq-160	340	7	:	:	PUNCT
amq-160	340	8	schönfeld	schönfeld	PROPN
amq-160	340	9	,	,	PUNCT
amq-160	340	10	j.	j.	PROPN
amq-160	340	11	,	,	PUNCT
amq-160	340	12	zahn	zahn	PROPN
amq-160	340	13	r.	r.	PROPN
amq-160	340	14	,	,	PUNCT
amq-160	340	15	de	de	PROPN
amq-160	340	16	abreu	abreu	PROPN
amq-160	340	17	l.	l.	PROPN
amq-160	340	18	(	(	PUNCT
amq-160	340	19	2003	2003	NUM
amq-160	340	20	):	):	PUNCT
amq-160	340	21	surface	surface	NOUN
amq-160	340	22	to	to	ADP
amq-160	340	23	deep	deep	ADJ
amq-160	340	24	water	water	NOUN
amq-160	340	25	response	response	NOUN
amq-160	340	26	to	to	ADP
amq-160	340	27	rapid	rapid	ADJ
amq-160	340	28	climate	climate	NOUN
amq-160	340	29	changes	change	NOUN
amq-160	340	30	at	at	ADP
amq-160	340	31	the	the	DET
amq-160	340	32	western	western	ADJ
amq-160	340	33	iberian	iberian	ADJ
amq-160	340	34	margin	margin	NOUN
amq-160	340	35	.	.	PUNCT
amq-160	341	1	global	global	ADJ
amq-160	341	2	and	and	CCONJ
amq-160	341	3	planetary	planetary	ADJ
amq-160	341	4	change	change	NOUN
amq-160	341	5	,	,	PUNCT
amq-160	341	6	36(4	36(4	NUM
amq-160	341	7	)	)	PUNCT
amq-160	341	8	,	,	PUNCT
amq-160	341	9	237	237	NUM
amq-160	341	10	-	-	SYM
amq-160	341	11	264	264	NUM
amq-160	341	12	.	.	PUNCT
amq-160	342	1	doi:10.1016	doi:10.1016	PROPN
amq-160	342	2	/	/	SYM
amq-160	342	3	s0921	s0921	PROPN
amq-160	342	4	-	-	PUNCT
amq-160	342	5	8181(02)00197	8181(02)00197	NUM
amq-160	342	6	-	-	SYM
amq-160	342	7	2	2	NUM
amq-160	342	8	coda	coda	NOUN
amq-160	342	9	regression	regression	NOUN
amq-160	342	10	-	-	PUNCT
amq-160	342	11	based	base	VERB
amq-160	342	12	sst	sst	NOUN
amq-160	342	13	reconstruction	reconstruction	NOUN
amq-160	342	14	ter	ter	NOUN
amq-160	342	15	braak	braak	PROPN
amq-160	342	16	c.j.f	c.j.f	PROPN
amq-160	342	17	.	.	PROPN
amq-160	342	18	,	,	PUNCT
amq-160	342	19	juggins	juggins	PROPN
amq-160	342	20	s.	s.	PROPN
amq-160	342	21	(	(	PUNCT
amq-160	342	22	1993	1993	NUM
amq-160	342	23	)	)	PUNCT
amq-160	342	24	weighted	weight	VERB
amq-160	342	25	averaging	average	VERB
amq-160	342	26	partial	partial	ADJ
amq-160	342	27	least	least	ADJ
amq-160	342	28	squares	square	NOUN
amq-160	342	29	regression	regression	NOUN
amq-160	342	30	(	(	PUNCT
amq-160	342	31	wa	wa	NOUN
amq-160	342	32	-	-	PUNCT
amq-160	342	33	pls	pls	NOUN
amq-160	342	34	):	):	PUNCT
amq-160	342	35	an	an	DET
amq-160	342	36	improved	improved	ADJ
amq-160	342	37	method	method	NOUN
amq-160	342	38	for	for	ADP
amq-160	342	39	reconstructing	reconstruct	VERB
amq-160	342	40	environmental	environmental	ADJ
amq-160	342	41	variables	variable	NOUN
amq-160	342	42	from	from	ADP
amq-160	342	43	species	specie	NOUN
amq-160	342	44	assemblages	assemblage	NOUN
amq-160	342	45	.	.	PUNCT
amq-160	343	1	hydrobiologia	hydrobiologia	NOUN
amq-160	343	2	,	,	PUNCT
amq-160	343	3	269	269	NUM
amq-160	343	4	-	-	SYM
amq-160	343	5	270(1	270(1	NUM
amq-160	343	6	)	)	PUNCT
amq-160	343	7	,	,	PUNCT
amq-160	343	8	485	485	NUM
amq-160	343	9	-	-	SYM
amq-160	343	10	502	502	NUM
amq-160	343	11	.	.	PUNCT
amq-160	344	1	tolosana	tolosana	PROPN
amq-160	344	2	-	-	PUNCT
amq-160	344	3	delgado	delgado	PROPN
amq-160	344	4	r.	r.	PROPN
amq-160	344	5	,	,	PUNCT
amq-160	344	6	mckinley	mckinley	PROPN
amq-160	344	7	j.	j.	PROPN
amq-160	344	8	(	(	PUNCT
amq-160	344	9	2016	2016	NUM
amq-160	344	10	)	)	PUNCT
amq-160	344	11	exploring	explore	VERB
amq-160	344	12	the	the	DET
amq-160	344	13	joint	joint	ADJ
amq-160	344	14	compositional	compositional	ADJ
amq-160	344	15	variability	variability	NOUN
amq-160	344	16	of	of	ADP
amq-160	344	17	major	major	ADJ
amq-160	344	18	components	component	NOUN
amq-160	344	19	and	and	CCONJ
amq-160	344	20	trace	trace	NOUN
amq-160	344	21	elements	element	NOUN
amq-160	344	22	in	in	ADP
amq-160	344	23	the	the	DET
amq-160	344	24	tellus	tellus	ADJ
amq-160	344	25	soil	soil	NOUN
amq-160	344	26	geochemistry	geochemistry	NOUN
amq-160	344	27	survey	survey	NOUN
amq-160	344	28	(	(	PUNCT
amq-160	344	29	northern	northern	ADJ
amq-160	344	30	ireland	ireland	PROPN
amq-160	344	31	)	)	PUNCT
amq-160	344	32	.	.	PUNCT
amq-160	345	1	applied	apply	VERB
amq-160	345	2	geochemistry	geochemistry	NOUN
amq-160	345	3	,	,	PUNCT
amq-160	345	4	75	75	NUM
amq-160	345	5	,	,	PUNCT
amq-160	345	6	263	263	NUM
amq-160	345	7	-	-	SYM
amq-160	345	8	275	275	NUM
amq-160	345	9	.	.	PUNCT
amq-160	346	1	verboven	verboven	PROPN
amq-160	346	2	s.	s.	PROPN
amq-160	346	3	,	,	PUNCT
amq-160	346	4	hubert	hubert	PROPN
amq-160	346	5	m.	m.	NOUN
amq-160	346	6	(	(	PUNCT
amq-160	346	7	2004	2004	NUM
amq-160	346	8	)	)	PUNCT
amq-160	346	9	libra	libra	NOUN
amq-160	346	10	:	:	PUNCT
amq-160	346	11	a	a	DET
amq-160	346	12	matlab	matlab	PROPN
amq-160	346	13	library	library	NOUN
amq-160	346	14	for	for	ADP
amq-160	346	15	robust	robust	ADJ
amq-160	346	16	analysis	analysis	NOUN
amq-160	346	17	.	.	PUNCT
amq-160	347	1	https://github.com/duncombe/matlab/blob/master/	https://github.com/duncombe/matlab/blob/master/	PROPN
amq-160	347	2	libra	libra	PROPN
amq-160	347	3	/	/	SYM
amq-160	347	4	rsimpls.m	rsimpls.m	NOUN
amq-160	347	5	voelker	voelker	NOUN
amq-160	347	6	a.h.l	a.h.l	PROPN
amq-160	347	7	.	.	PROPN
amq-160	347	8	,	,	PUNCT
amq-160	347	9	de	de	PROPN
amq-160	347	10	abreu	abreu	PROPN
amq-160	347	11	l.	l.	PROPN
amq-160	347	12	(	(	PUNCT
amq-160	347	13	2011	2011	NUM
amq-160	347	14	)	)	PUNCT
amq-160	347	15	a	a	DET
amq-160	347	16	review	review	NOUN
amq-160	347	17	of	of	ADP
amq-160	347	18	abrupt	abrupt	ADJ
amq-160	347	19	climate	climate	NOUN
amq-160	347	20	change	change	NOUN
amq-160	347	21	events	event	NOUN
amq-160	347	22	in	in	ADP
amq-160	347	23	the	the	DET
amq-160	347	24	northeastern	northeastern	ADJ
amq-160	347	25	atlantic	atlantic	PROPN
amq-160	347	26	ocean	ocean	PROPN
amq-160	347	27	(	(	PUNCT
amq-160	347	28	iberian	iberian	ADJ
amq-160	347	29	margin	margin	NOUN
amq-160	347	30	):	):	PUNCT
amq-160	347	31	latitudinal	latitudinal	ADJ
amq-160	347	32	,	,	PUNCT
amq-160	347	33	longitudinal	longitudinal	ADJ
amq-160	347	34	and	and	CCONJ
amq-160	347	35	vertical	vertical	ADJ
amq-160	347	36	gradients	gradient	NOUN
amq-160	347	37	.	.	PUNCT
amq-160	348	1	in	in	ADP
amq-160	348	2	:	:	PUNCT
amq-160	348	3	rashid	rashid	PROPN
amq-160	348	4	h.	h.	PROPN
amq-160	348	5	,	,	PUNCT
amq-160	348	6	polyak	polyak	PROPN
amq-160	348	7	l.	l.	PROPN
amq-160	348	8	,	,	PUNCT
amq-160	348	9	mosley	mosley	PROPN
amq-160	348	10	-	-	PUNCT
amq-160	348	11	thompson	thompson	NOUN
amq-160	348	12	e.	e.	PROPN
amq-160	348	13	(	(	PUNCT
amq-160	348	14	eds	eds	PROPN
amq-160	348	15	)	)	PUNCT
amq-160	348	16	,	,	PUNCT
amq-160	348	17	abrupt	abrupt	ADJ
amq-160	348	18	climate	climate	NOUN
amq-160	348	19	change	change	NOUN
amq-160	348	20	:	:	PUNCT
amq-160	348	21	mechanisms	mechanism	NOUN
amq-160	348	22	,	,	PUNCT
amq-160	348	23	patterns	pattern	NOUN
amq-160	348	24	,	,	PUNCT
amq-160	348	25	and	and	CCONJ
amq-160	348	26	impacts	impact	NOUN
amq-160	348	27	,	,	PUNCT
amq-160	348	28	geophysical	geophysical	ADJ
amq-160	348	29	monograph	monograph	NOUN
amq-160	348	30	series	series	NOUN
amq-160	348	31	(	(	PUNCT
amq-160	348	32	agu	agu	PROPN
amq-160	348	33	,	,	PUNCT
amq-160	348	34	washington	washington	PROPN
amq-160	348	35	d.c	d.c	PROPN
amq-160	348	36	.	.	PROPN
amq-160	348	37	)	)	PUNCT
amq-160	348	38	,	,	PUNCT
amq-160	348	39	193	193	NUM
amq-160	348	40	,	,	PUNCT
amq-160	348	41	15	15	NUM
amq-160	348	42	-	-	SYM
amq-160	348	43	37	37	NUM
amq-160	348	44	.	.	PUNCT
amq-160	348	45	waelbroeck	waelbroeck	PROPN
amq-160	348	46	c.	c.	PROPN
amq-160	348	47	,	,	PUNCT
amq-160	348	48	labeyrie	labeyrie	PROPN
amq-160	348	49	l.	l.	PROPN
amq-160	348	50	,	,	PUNCT
amq-160	348	51	duplessy	duplessy	PROPN
amq-160	348	52	j.-c	j.-c	PROPN
amq-160	348	53	.	.	PUNCT
amq-160	348	54	,	,	PUNCT
amq-160	348	55	guiot	guiot	PROPN
amq-160	348	56	j.	j.	PROPN
amq-160	348	57	,	,	PUNCT
amq-160	348	58	labracherie	labracherie	ADJ
amq-160	348	59	m.	m.	NOUN
amq-160	348	60	(	(	PUNCT
amq-160	348	61	1998	1998	NUM
amq-160	348	62	)	)	PUNCT
amq-160	348	63	improving	improve	VERB
amq-160	348	64	past	past	ADJ
amq-160	348	65	sea	sea	NOUN
amq-160	348	66	surface	surface	NOUN
amq-160	348	67	temperature	temperature	NOUN
amq-160	348	68	estimates	estimate	NOUN
amq-160	348	69	based	base	VERB
amq-160	348	70	on	on	ADP
amq-160	348	71	planktonic	planktonic	ADJ
amq-160	348	72	fossil	fossil	NOUN
amq-160	348	73	faunas	fauna	NOUN
amq-160	348	74	.	.	PUNCT
amq-160	349	1	paleoceanography	paleoceanography	NOUN
amq-160	349	2	,	,	PUNCT
amq-160	349	3	13	13	NUM
amq-160	349	4	,	,	PUNCT
amq-160	349	5	272	272	NUM
amq-160	349	6	-	-	SYM
amq-160	349	7	283	283	NUM
amq-160	349	8	.	.	PUNCT
amq-160	350	1	wallach	wallach	PROPN
amq-160	350	2	d.	d.	PROPN
amq-160	350	3	,	,	PUNCT
amq-160	350	4	goffmet	goffmet	PROPN
amq-160	350	5	b.	b.	PROPN
amq-160	350	6	(	(	PUNCT
amq-160	350	7	1989	1989	NUM
amq-160	350	8	)	)	PUNCT
amq-160	350	9	mean	mean	VERB
amq-160	350	10	squared	square	VERB
amq-160	350	11	error	error	NOUN
amq-160	350	12	of	of	ADP
amq-160	350	13	prediction	prediction	NOUN
amq-160	350	14	as	as	ADP
amq-160	350	15	a	a	DET
amq-160	350	16	criterion	criterion	NOUN
amq-160	350	17	for	for	ADP
amq-160	350	18	evaluating	evaluate	VERB
amq-160	350	19	and	and	CCONJ
amq-160	350	20	comparing	compare	VERB
amq-160	350	21	system	system	NOUN
amq-160	350	22	models	model	NOUN
amq-160	350	23	.	.	PUNCT
amq-160	351	1	ecological	ecological	ADJ
amq-160	351	2	modelling	modelling	NOUN
amq-160	351	3	,	,	PUNCT
amq-160	351	4	44	44	NUM
amq-160	351	5	,	,	PUNCT
amq-160	351	6	299306	299306	NUM
amq-160	351	7	.	.	PUNCT
amq-160	352	1	ms	ms	PROPN
amq-160	352	2	.	.	PROPN
amq-160	352	3	received	receive	VERB
amq-160	352	4	:	:	PUNCT
amq-160	352	5	july	july	PROPN
amq-160	352	6	23	23	NUM
amq-160	352	7	,	,	PUNCT
amq-160	352	8	2019	2019	NUM
amq-160	352	9	revised	revise	VERB
amq-160	352	10	:	:	PUNCT
amq-160	352	11	january	january	PROPN
amq-160	352	12	25	25	NUM
amq-160	352	13	,	,	PUNCT
amq-160	352	14	2020	2020	NUM
amq-160	352	15	,	,	PUNCT
amq-160	352	16	accepted	accept	VERB
amq-160	352	17	:	:	PUNCT
amq-160	352	18	january	january	PROPN
amq-160	352	19	26	26	NUM
amq-160	352	20	,	,	PUNCT
amq-160	352	21	2020	2020	NUM
amq-160	352	22	available	available	ADJ
amq-160	352	23	online	online	ADV
amq-160	352	24	:	:	PUNCT
amq-160	352	25	february	february	PROPN
amq-160	352	26	6	6	NUM
amq-160	352	27	,	,	PUNCT
amq-160	352	28	2020	2020	NUM
amq-160	352	29	42	42	NUM