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Authors	Title	Year	Volume	Issue	Page start	Page end	Page count	Cited by	Affiliations	Authors with affiliations	Abstract	Author Keywords	Document Type
Bruelheide H.	Cocktail clustering – a new hierarchical agglomerative algorithm for extracting species groups in vegetation databases	2016	27	6	1297	1307			"Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, Halle, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, Leipzig, Germany"	"Bruelheide, H., Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, Halle, Germany, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, Leipzig, Germany"	"Aims: In one approach of formalized vegetation classification, species groups define a vegetation unit as a set of relevés, each of which possesses a minimum number of species from that group. Thus, species group

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Rank	Country	Population
1	 China[a] 	1409517397
2	 India 	1339180127
3	 United States 	324459463
4	 Indonesia 	263991379
5	 Brazil 	209288278
6	 Pakistan 	197015955
7	 Nigeria 	190886311
8	 Bangladesh 	164669751
9	 Russia 	143989754

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Plot_ID	Individual_ID	Species_name	DBH
L2R	1	Quercus sessilifolia	56.0
L2R	2	Neolitsea acuminatissima	2.0
L2R	3	Quercus sessilifolia	59.0
L2R	4	Neolitsea acuminatissima	1.5
L2R	4	Neolitsea acuminatissima	1.5
L2R	5	Hydrangea paniculata	3.0
L2R	5	Hydrangea paniculata	1.5
L2R	5	Hydrangea paniculata	2.0
L2R	6	Neolitsea acuminatissima	2.0

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create.abbrev2 <- function (names, sep = '')
{
  Gene <- names %>%                        # note Gene with uppercase G to show that beginning has uppercase lettter
    str_split (' ') %>% 
    sapply (FUN = function (x) x[1]) %>%
    str_sub (start = 1, end = 4)
 
  spec <- names %>%                        # spec with lowercase s
    str_split (' ') %>%
    sapply (FUN = function (x) x[2]) %>%

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	Italian seasoning	Worcestershire sauce	allspice	almonds	anchovies	anise	apples	apricots	arugula	bacon	baking soda	bananas	basil	bean	beef	bell peppers	black pepper	blueberries	bourbon	brandy	broccoli	butter	buttermilk	butterscotch chips	capers	cardamom	carrots	cayenne pepper	celery	cheese	cherries	chicken stock	chili	chocolate	cinnamon	cloves	cocoa powder	coconut	coffee powder	cookie dough	cookies	corn syrup	cornmeal	cornstarch	cranberries	cream	cream cheese	cumin	curry	dough	eggplant	eggs	flour	food coloring	garlic	ginger	graham crackers	guava	hazelnuts	honey	hot sauce	ice cream	icing	jalapeno	ketchup	leaves	lemons	lettuce	limes	maple syrup	margarine	marshmallows	mayonnaise	meringue	milk	molasses	mushrooms	mustard	nutmeg	oats	oil	olives	onions	oranges	oregano	pancetta	paprika	parsley	peanut butter	peas	pecans	peppermint	pepperoni	pie crust	pine nuts	pineapples	pistachios	potatoes	prosciutto	puff pastry	pumpkin spice	raisins	raspberries	red peppers	ricotta	rosemary	rum	salami	salt	sandwich cookies	sausage	sc

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	type_of_food
recipe_0001	Cookies
recipe_0002	Cookies
recipe_0003	Cookies
recipe_0004	Cookies
recipe_0005	Cookies
recipe_0006	Cookies
recipe_0007	Cookies
recipe_0008	Cookies
recipe_0009	Cookies

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newick2phylog_DZ <- function (x.tre, add.tools = TRUE, call = match.call()) 
{
  complete <- function(x.tre) {
    if (length(x.tre) > 1) {
      w <- ""
      for (i in 1:length(x.tre)) w <- paste(w, x.tre[i], 
                                            sep = "")
      x.tre <- w
    }
    ndroite <- nchar(gsub("[^)]", "", x.tre))

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	Acer palmatum v. pubescens	Acer serrulatum	Barthea barthei	Blastus cochinchinensis	Camellia brevistyla	Camellia tenuifolia	Castanopsis cuspidata v. carlesii	Cinnamomum kanehirae	Cinnamomum subavenium	Cleyera japonica	Cleyera japonica v. longicarpa	Cleyera japonica v. taipinensis	Cryptocarya chinensis	Cyclobalanopsis longinux	Cyclobalanopsis morii	Cyclobalanopsis sessilifolia	Daphniphyllum glaucescens s. oldhamii v. kengii	Dendropanax dentiger	Diospyros morrisiana	Elaeocarpus japonicus	Engelhardia roxburghiana	Eurya crenatifolia	Eurya glaberrima	Eurya loquaiana	Fatsia polycarpa	Ficus erecta v. beecheyana	Fraxinus griffithii	Glochidion acuminatum	Glochidion rubrum	Helicia formosana	Ilex ficoidea	Ilex formosana	Ilex goshiensis	Ilex hayataiana	Ilex lonicerifolia	Ilex species	Illicium anisatum	Illicium arborescens	Illicium tashiroi	Itea parviflora	Lasianthus fordii	Lasianthus wallichii	Limlia uraiana	Litsea acuminata	Litsea elongata v. mushaensis	Machilus japonica	Machilus thunbergii	Machilus zuihoensis	Malus dou

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Species	SLA	LDMC	LT	LA	SSD	Wett_U	Wett_B	Chlor
Acer palmatum v. pubescens	22.0	427.3	0.14	1785	0.61	67	73	24
Acer serrulatum	19.1	446.6	0.15	2534	0.61	83	96	38
Ardisia quinquegona	11.3	423.1	0.21	1428	0.60	NA	NA	61
Barthea barthei	20.8	301.6	0.28	1504	0.54	67	50	35
Blastus cochinchinensis	31.7	267.8	0.19	3628	0.50	76	49	27
Camellia brevistyla	10.3	409.4	0.32	796	0.57	55	69	40
Camellia tenuifolia	9.9	420.7	0.34	854	0.56	63	72	77
Castanopsis cuspidata v. carlesii	9.8	473.6	0.32	1816	0.55	71	92	41
Castanopsis cuspidata v. carlesii f. sessilis	9.6	466.7	0.36	1581	0.55	NA	NA	NA

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Locality code	Locality name	Date of vegetation sampling	Latitude	Longitude	Elevation	PPO43	Ca_M	Mg_M	K_M	Fe_M	pH	cond	TOC	TC	IC	TN	Ca_H2O	Mg_H2O	K_H2O	Na_H2O	Fe_H2O	CN
M01	Luen-Pi-Chi	9/13/2014	24 42 12.4	121 35 28.4	794	5.4	33.6	34.2	86.5	330	3.8	102	487.00 	489.00 	1.8	60.1	3.01	6.55	17.2	13.1	2.73	8.103161398
M02	Nan-Cha-Tien Shan	11/4/2014	24 46 46.8	121 24 41.6	947	14.7	262	67.4	121	274	4.1	89.7	441.00 	444.00 	3	56.6	15.4	8.36	20.4	6.47	0.97	7.791519435
M03	Wu-Lai_Fu-Shan	11/19/2014	24 46 58.6	121 28 58.2	868	3.1	98.6	83.2	142	278	3	379	275.00 	279.00 	3.8	203	42.8	45.7	48.3	18.8	0.51	1.354679803
Q01	Fu-Sin-Jien I	9/16/2014	24 38 57.1	121 26 08.0	1343	9.4	89	85.6	132	365	3.5	282	1033.00 	1036.00 	3.3	83.9	2.84	3.25	42.2	33.9	6.25	12.31227652
Q02	Fu-Sin-Jien II	9/28/2014	24 39 22.0	121 26 01.7	1606	92.6	153	290	248	327	3	228	1244.00 	1247.00 	3.3	123	8.71	19.6	41.1	22.8	4.67	10.11382114
Q03	Fu-Fu-Shan	10/14/2014	24 43 33.6	121 23 29.6	1571	13.8	374	101	121	507	3.4	193	285.00 	288.00 	3	122.7	5.95	5.18	28