Interface for uploading data to and downloading from the Opasnet Base. <a href="http://en.opasnet.org/w/Image:Opasnet_base_connection.ANA">Wiki description</a> Jouni Tuomisto 9. maata 2008 10:42 jtue 8. kesta 2009 10:47 48,24 1,0,0,1,1,1,0,0,0,0 1,3,11,758,547,17 2,102,90,476,224 Arial, 15 0,Linkmodule Op_en2676,2,2,0,1,E:\Opasnet_base_connection-12.ANA 100,1,1,1,1,9,2970,2100,15,0 This module saves model results into the Opasnet Base. You need your Opasnet username and password for that. You must fill in all tables before the process is completed. Fill in the data below from top to bottom. If an object with the same Ident already exists in the Opasnet Base, the information will be added to that object. Before you start, make sure that you have created an object page in the Opasnet wiki for each object (study or variable) you want to upload. 612,48,-1 604,40 0 168,108,1 160,12 1,0,0,1,0,0,0,142,0,1 52425,39321,65535 Opasnet_username 0 168,132,1 160,12 1,0,0,1,0,0,0,142,0,1 52425,39321,65535 Opasnet_password 0 168,204,1 160,12 1,0,0,1,0,0,0,72,0,1 52425,39321,65535 N_indices 112,644,1 48,12 2,31,25,825,451 0 164,484,1 156,12 1,0,0,1,0,0,0,90,0,1 52425,39321,65535 Object_info1 1) Copy-paste a data table to Analytica. Indices are determinants of your study objects, such as sex or observation year. Parameters are those that are measured, such as body weight or pollutant concentration. 168,344,-1 160,112 1,0,0,1,0,1,0,,0, 2,693,146,476,224 Finally, fill in the name (a description that may be longer than an identifier) and the unit of measurement. Then press the button Upload data. 596,492,-1 268,20 0 1056,629,1 152,13 1,0,0,1,0,0,0,158,0,1 52425,39321,65535 Study_ident ktluser 1. Aprta 2009 9:38 48,24 1000,536,1 48,24 1,0,0,1,1,1,0,,0, 1,217,501,376,152,17 jtue 24. maata 2009 9:36 48,24 184,32,1 48,24 1,602,13,633,508,17 Makes a table to be written to the Loc table. index j:= ['id','Std_id','Obj_id_i','Location','Roww','Description']; var a:= Locations[.j=j]; var b:= a[j='Obj_id_i']; var c:= textify(cardinals[table1='Loc']+a[@j=1]); a:= array(j,[c, c, findid(b,Obj,'Ident'), a, textify(a), a]) 440,208,1 48,16 2,156,83,476,245 2,642,68,606,278,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 100,1,1,1,1,9,2970,2100,15,0 [] [Sys_localindex('I'),16,Sys_localindex('I'),1,Sys_localindex('J'),1] Slices fields that are needed in the Locres table from Inp_locres. var a:= Loccells; var b:= textify(findid(a[.j='id'], Obj, 'Ident')); var c:= textify(a[.j='Loc_id']); b:= findid(b&'+'&c, (if Loc.j='Obj_id_i' then Loc&'+'&Loc[.j='Location'] else Loc), 'Obj_id_i'); a:= array(a.j,[(@a.i+cardinals[table1='Loccell']), (a+cardinals[table1='Cell']), b]); textify(a) 424,312,1 48,16 2,776,90,476,487 2,608,110,453,537,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [] Slices the fields that are needed in the Res table. Removes duplicate rows. index j:= ['id','Obj_id_v','Obj_id_r','Mean','SD','N']; var a:= Cells; {index i:= unique(a[.j='Cell_id'], a.i); ivar a:= a[.i=i];} var b:= a[.j='id']+cardinals[table1='Cell']; a:= a[.j=j]; var c:= findid(a[@j=2], Obj, 'Ident'); var d:= w_obj[.j='Ident']; d:= findid(d, Obj, 'Ident')[@.i=size(w_obj.i)]; a:= array(j, [textify(b),c, d, a, a, textify(a)]); if a=null then '' else a 424,256,1 48,16 2,799,214,476,379 2,85,264,505,368,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] Names of different wikis used. Table(Self)( 'Op_en','Op_fi','Heande','En','Fi','Erac','Beneris','Intarese','Piltti','Kantiva','Bioher','Heimtsa') [1,2,3,4,5,8,9,10,11,13,14,15] 304,24,1 48,16 65535,52427,65534 [Self] Selects relevant information for the Obj table from Objects1 node. index j:= ['id','Ident','Name','Unit','Objtype_id','Page','Wiki_id']; var a:= Objects; var b:= if a[.j='Ident'] = 0 then -1 else a[.j='Ident']; b:= findid(b, Obj, 'Ident'); b:= if b='0' then cardinals[table1='Obj']+a[.j='id'] else b; a:= if a.j='id' then b else a; a:= a[.j=j]; a:= if j='Ident' and a[j='Ident']='' then a[j='id'] else a; a:= if j='Ident' and a.i='Run' and isnumber(append_to_run) then append_to_run else a; textify(a) 424,120,1 48,16 2,510,138,476,508 2,89,387,1023,259,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [] [] If the result is not a number, then the actual result text can be written into the Description field of the Descr table. Makes a list of text values to be written into the Descr table. index j:= ['id','Restext']; var a:= Results; index i:= subset(a[.j='Restext']); a:= a[.j=j, .i=i]; a:= array(j, [textify(a+Cardinals[table1='Res']), a]) 424,384,1 48,16 2,674,46,476,259 2,670,328,416,303,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] Makes a list of objects that contains some additional information to be written into the Inf table. index j:= ['Obj_id','Acttype_id','Who','Comments']; var a:= Objects; var b:= if a[.j='Ident'] = 0 then -1 else a[.j='Ident']; b:= findid(b, Obj, 'Ident'); b:= if b='0' then cardinals[table1='Obj']+a[.j='id'] else b; a:= if j='Obj_id' then b else a[.j=j]; a:= if a = null or a='' then 0 else a; index i:= subset(if sum(a, j) = 0 then 0 else 1); a:= a[.i=i]; a:= if a=null or a=0 then '' else a&'' 424,72,1 48,16 2,210,49,476,340 2,34,427,690,274,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [] [Sys_localindex('J'),1,Sys_localindex('I'),1,Sys_localindex('J'),1] index j:= ['id','Cell_id','Obs','Result']; var a:= Results; index i:= subset(if a[.j='Result']=null and a[.j='Description']=0 then 0 else 1); a:= a[.j=j, .i=i]; a:= array(j, [textify(a+Cardinals[table1='Res']), textify(a+ Cardinals[table1='Cell']), textify(a),a]); if a=null then '' else a 424,416,1 48,13 2,629,191,582,297 2,54,89,609,375,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] [] Additional information for each index and decision node. Description node is the name of a node containing information about the locations of the index. It must be indexed by the index. 1 176,408,1 48,22 2,140,217,476,224 2,605,351,664,303,0,MIDM 2,506,220,684,303,0,MIDM [Formnode Number_of_variables1] 52425,39321,65535 [] [] [1,1,0,1] var a:= if data_table_or_model_ = 'Data table' then 1 else N_variables; 'Var'&1..a 176,344,1 48,13 1,1,1,1,1,1,0,,0, 2,107,331,416,303,0,MIDM [1,1,1,0] Additional information for each index and decision node. Description node is the name of a node containing information about the locations of the index. It must be indexed by the index. Table(Varinfo)( 1,'va1','Op_en3058',2,'',1,'') 176,312,1 48,22 2,140,217,476,224 2,917,596,265,216,0,MIDM 2,939,520,288,303,0,MIDM [Formnode Variables1] 52425,39321,65535 [Variable1,Varinfo] [Varinfo,Variable1] [0,1,1,0] 3 176,256,1 48,20 [Formnode Number_of_indices1] 52425,39321,65535 [1,1,0,1] Table(Object_info,Object1)( 'var','Year','Tissue','Param', 'pg','a','-','pg' ) 176,72,1 48,13 2,102,90,476,349 2,154,140,659,248,0,MIDM 2,184,194,660,316,0,MIDM [Formnode Study_or_variable_i1] 52425,39321,65535 [Object_info,Object1] [Object_info,Object1] ['Name','Unit'] 176,96,1 48,12 ['Name','Unit'] Makes a list of all locations in all results in all variables. The list is as long as is needed for the Loccell table. A subset is taken then for the Cell table. 1) Initialises local variables, and slices variables from Object1. 2)-4) Does the process for each variable one at a time. This happens in function Loccell. 5) Makes i the row index. var a:= data_table; index h:= a.j[@.j=1..size(a.j)-2]; a:= a[.j=h]; var d:= max(data_table[.j='Obs'],data_table.i); a:= if list_of_variables[varinfo='Probabilistic?']<>1 then (index itemp:= copyindex(a.i); a[.i=itemp]) else ( index grun:= 1..d; index itemp:= 1..size(a.i)/d; a:= a[@.i=(itemp-1)*d+grun]; a:= a[@grun=1]); index j:= ['id', 'Cell_id', 'Loc_id']; index i:= 1..size(a); a:= array(j,[h, @a.itemp, a]); concatrows(a,h,a.itemp,i) 304,312,1 48,16 2,643,26,526,596 2,31,123,552,488,0,MIDM [Sys_localindex('J'),Sys_localindex('I'),Undefined,Undefined,Undefined,1] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] [Undefined] [Sys_localindex('J'),2,Sys_localindex('ITEMP'),1,Sys_localindex('H'),1] The usage of local variables: a: the temporary variable that is being edited. e: cardinal of the Cell table. f: cardinal of the Res table. j: output column headings. i: output row numbers. NOTE! ONLY THE DETERMINISTIC VERSION WORKS AT THE MOMENT. 1) Only one piece of information (Observations) is included. 2)-5) The process is done for each variable one at a time (this is indexed by x). 3) Several within-loop local variables are initiated. 4) The variable is given index runn which is equal to run if probabilistic and [0] if not. The array is flattened first to 2-D, the value only is kept. 5) Variables are concatenated to each other. 6) Index i is made the index of the implicit index. NOTE! This node MUST be formatted to Integer, otherwise Res_id will be stored in a wrong format. var e:= 0; var f:= 0; var probabilistic= list_of_variables[varinfo='Probabilistic?']; var a:= data_table[.j='Result']; var d:= max(data_table[.j='Obs'],data_table.i); var b:= if list_of_variables[varinfo='Probabilistic?']<>1 then @a.i else ( floor((@a.i-1)/d)+1) {index grun:= 1..d; index i:= 1..size(a.i)/d; a:= a[@.i=(i-1)*d+grun]; a:= array(temp,[mean(a,grun), sdeviation(a[j='Mean'],grun)])} ; index j:= ['id','Cell_id','Obs','Result','Restext']; a:= array(j,[0, b, data_table[.j='Obs'], (if istext(a) then 0 else a) , (if istext(a) then a else 0)]); { index runn:= if Probabilistic=1 then copyindex(run) else [0]; index i:= (1..size(max(a.i,run))*size(runn))+f; a:= if Probabilistic=1 then a[run=runn] else (if runn=0 then a else a); a:= a[.j='Result']; index j:= ['id','Cell_id','Obs','Result','Restext']; a:= array(j,[0, a.i+e, runn, (if istext(a) then 0 else a) , (if istext(a) then a else 0)]); a:= concatrows(a,a.i,runn, i); a:= if j='id' then i else a } {var output:= 0; output:= if data_table_or_model_ = 'Data table' then Doresult(Data_table, 0) else ( var e:= 0; var f:= 0; var x:= 1; while x<= size(variable1) do ( var a:= sample(evaluate(List_of_variables[@variable1=x, varinfo='Analytica identifier'])); index j:= concat(indexnames(max(a,run)),['Result']); index i:= 1..size(max(a,run)); a:= mdarraytotable(a, i, j); a:= Doresult(a, List_of_variables[@variable1=x, varinfo='Probabilistic?'], e, f); e:= max(a[.j='Cell_id'],a.i); f:= max(a[.j='id'],a.i); output:= if x=1 then a else for y:= output.j do ( concat(output[.j=y], a[.j=y]) ); x:= x+1) ; output); index i:= 1..size(output)/size(output.j); output:= for y:= output.j do (slice(output[.j=y],i))} 304,384,1 48,16 2,691,21,581,615 2,28,187,469,411,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [Run,2,Sys_localindex('J'),1,Sys_localindex('I'),1] The format of this node MUST be integer, so that the id and Roww values are stored correctly. var output:= 0; var in:= data_table; index j:= in.j[@.j=1..size(in.j)-1]; in:= in[.j=j]; Dolocation(in) 304,208,1 48,16 2,100,58,476,581 2,482,15,746,348,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [0] [Sys_localindex('D'),1,Object_all3,1,Age,1] var N_indices:= list_of_variables[varinfo='Number of indices']; var b:= selecttext(list_of_variables[varinfo='Data source'],1,1); var a:= if b='1' then data_table2 else if b='2' then evaluate(list_of_variables[varinfo='Analytica identifier']) else analytica_node; if b='3' then a else ( index h:= a.j[@.j=1..N_indices]; var c:= list_of_variables[varinfo='Parameter name']; c:= if c='' or c=0 then 'Parameter' else parameter_name; index j:= concat(h,[c,'Result','Obs']); index parameter:= a.j[@.j=N_indices+(1..size(a.j)-N_indices)]; index temp:= 1..size(a.i)*size(parameter); var conv:= if j='Result' then @parameter+N_indices else @j; a:= a[@.j=conv]; a:= if @j=size(j)-2 then parameter else a; a:= if @j=size(j) then @a.i else a; a:= concatrows(a, parameter, a.i, temp); a:= if j='Result' then evaluate(a[j='Result']) else a; index i:= Subset(a[j='Result']<>null); a[temp=i]) 176,208,1 48,13 2,97,51,482,444 2,16,41,542,523,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [1,1,1,0] [Variable1,1,Sys_localindex('I'),1,Sys_localindex('J'),1] ['Data source','Analytica identifier','Ident','Number of indices','Parameter name','Probabilistic?','Append to run'] 176,368,1 48,12 2,90,166,416,303,0,MIDM ['Data source','Analytica identifier','Ident','Number of indices','Parameter name','Probabilistic?','Append to run'] Index j:= ['id','Ident','Name','Unit','Objtype_id','Acttype_id','Page','Wiki_id', 'Who','Comments']; index i:= concat(Object1,['Run']); var Ident:= if i = 'Var1' then list_of_variables[varinfo='Ident'] else if @i=size(i) then '' else i; var a:= Object_info1[Object1=i, Object_info=j]; var b:= sum(findintext(wikis,ident)*@wikis,wikis); var c:= if b=0 then 2664 else selecttext(ident,1+textlength(wikis[@wikis=b])); var d:= if list_of_variables[varinfo='Probabilistic?']=1 then ' (probabilistic), ' else ' (deterministic), '; a:= array(j,[ @i, ident, if i ='Run' then 'Observations: ' & max(data_table[.j='Obs'],data_table.i) &d& 'Cells: '&size(cells.i) &', Indices: ' &size(loccells.i)/size(Cells.i) & ', Analytica '&Analyticaedition&', ('&Analyticaplatform&'), Version: '&textify(Analyticaversion) else a, a, if @i=1 then 1 else if @i=size(i) then 9 else 6, if @i=1 then 11 else 1, if i='Run' then '2817' else c&'', if b=0 then '1' else b&'', opasnet_username, a]); a:= if a = null then '' else a 304,72,1 48,16 2,610,28,479,524 2,20,464,889,315,0,MIDM [Sys_localindex('I'),Sys_localindex('J')] concat(['Var1'],data_table.j[@data_table.j=1..size(data_table.j)-2]) {var a:= indexnames(evaluate(List_of_variables[Varinfo='Analytica identifier'])); a:= if a='Run' then 0 else 1; a:= subset(a); a:= if data_table_or_model_ = 'Data table' then Data_table.j[@.j=1..size(data_table.j)-1] else a; var b:= if data_table_or_model_ = 'Data table' then "['Var1']" else "variable1"; concat(evaluate(b),a)} 176,120,1 48,13 2,59,17,630,338 2,857,175,416,303,0,MIDM [Year,Who_country_code] ['Var1','Year','Tissue','Parameter'] 'Op_en2693' 176,32,1 48,16 [Formnode Study_ident1] 52425,39321,65535 [1,1,0,1] 'Year Tissue Species Fat content pg/g_fw 2378-TCDF pg/g_fw 2378-TCDD pg/g_fw 12378-PF pg/g_fw 23478-PF 2004 muscle meat with skin farmed Rainbow trout 19.6 1.00306 0.05134 0.11918 0.29145 2004 muscle meat with skin farmed Rainbow trout 14.2 0.84511 0.04254 0.09527 0.32938 2004 muscle meat with skin farmed Rainbow trout 21.3 1.17770 0.06711 0.13901 0.59145 2002 muscle meat with skin IL Burbot 0.35 0.62499 0.06050 0.17489 0.28163 2002 muscle meat with skin IL Burbot 0.44 0.30264 0.02528 0.06654 0.10435 2002 muscle meat with skin IL Burbot 0.35 0.09945 0.01126 0.01467 0.03898 2002 muscle meat with skin BS Burbot 0.45 0.29590 0.02929 0.03440 0.19786 2002 muscle meat with skin BS Burbot 0.38 0.15669 0.01231 0.03716 0.20770' 64,160,1 52,16 2,637,65,476,362 [Formnode Observations3] 52425,39321,65535 var a:= splittext(textreplace(Observations2, chr(10),'',true),chr(13)); index i:= 1..size(a); a:= slice(a,i); a:= splittext(a, chr(9)); index j:= 1..size(a)/size(i); for y:= i do (slice(a[i=y],j)) var a:= splittext(textreplace(Observations2, chr(10),'',true),chr(13)); index j:= splittext(slice(a,1), chr(9)); index i:= 1..size(a)-1; a:= slice(a,i+1); a:= splittext(a, chr(9)); for y:= i do (slice(a[i=y],@j)) 64,208,1 48,16 2,98,65,476,362 2,8,352,966,357,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] [1,1,1,0] ['Municipality_fin Age Males 2013 Females 2013 Males 2020 Females 2020 Males 2030 Females 2030','Espoo - Esbo 0-4 9218 8791 9509 9067 9414 8976','Espoo - Esbo 5-9 8461 8019 8881 8418 9064 8590','Espoo - Esbo 10-14 7651 7276 8392 7983 8733 8316','Espoo - Esbo 15 - 19 7878 7665 7942 7634 8689 8302','Espoo - Esbo 20 - 24 9703 8254 9166 7700 9825 8164','Espoo - Esbo 25 - 29 9221 8671 10075 9363 9319 8580','Espoo - Esbo 30 - 34 10158 9887 10229 9855 9967 9545','Espoo - Esbo 35 - 39 9996 9824 10385 10112 10850 10446','Espoo - Esbo 40 - 44 8736 8672 9910 9754 10095 9833','Espoo - Esbo 45 - 49 9360 9789 8846 8897 9846 9866','Espoo - Esbo 50 - 54 8366 8843 8759 9227 9231 9424','Espoo - Esbo 55 - 59 7045 7880 8205 8891 7947 8322','Espoo - Esbo 60 - 64 6384 7645 6740 7617 7590 8370','Espoo - Esbo >=65 14543 19580 18716 25250 24301 32210','Helsinki - Helsingfors 0-4 14140 13613 14296 13762 13869 13349','Helsinki - Helsingfors 5-9 12102 11791 12391 12025 12387 12017','Helsinki - Helsingfors 10-14 11734 11389 11942 11544 12172 11764','Helsinki - Helsingfors 15 - 19 13797 14187 12321 12858 12862 13419','Helsinki - Helsingfors 20 - 24 21478 25254 19377 22926 19565 23290','Helsinki - Helsingfors 25 - 29 25056 27208 26650 28556 23965 25708','Helsinki - Helsingfors 30 - 34 24082 23867 23944 23568 22855 22377','Helsinki - Helsingfors 35 - 39 21005 19952 21072 20381 21649 20718','Helsinki - Helsingfors 40 - 44 17917 17261 19664 18761 19607 18751','Helsinki - Helsingfors 45 - 49 19971 20571 17476 17035 18919 18668','Helsinki - Helsingfors 50 - 54 18613 20147 18035 19002 18068 18226','Helsinki - Helsingfors 55 - 59 16671 19310 18191 20058 16135 16722','Helsinki - Helsingfors 60 - 64 15464 19421 15627 18273 16109 17856','Helsinki - Helsingfors >=65 37669 60241 45258 69319 55248 80147','Kauniainen - Grankulla 0-4 222 195 226 198 222 195','Kauniainen - Grankulla 5-9 276 238 280 251 283 253','Kauniainen - Grankulla 10-14 311 279 318 265 324 275','Kauniainen - Grankulla 15 - 19 376 315 327 281 339 288','Kauniainen - Grankulla 20 - 24 305 247 267 222 277 227','Kauniainen - Grankulla 25 - 29 183 144 207 154 184 140','Kauniainen - Grankulla 30 - 34 153 171 155 171 150 165','Kauniainen - Grankulla 35 - 39 214 254 219 255 228 262','Kauniainen - Grankulla 40 - 44 268 267 289 288 290 288','Kauniainen - Grankulla 45 - 49 337 371 281 293 305 312','Kauniainen - Grankulla 50 - 54 307 326 290 316 284 290','Kauniainen - Grankulla 55 - 59 259 239 280 285 248 238','Kauniainen - Grankulla 60 - 64 230 245 248 240 246 254','Kauniainen - Grankulla >=65 740 1083 826 1219 971 1410','Vantaa - Vanda 0-4 6782 6498 6962 6669 6825 6537','Vantaa - Vanda 5-9 6228 5945 6502 6217 6577 6287','Vantaa - Vanda 10-14 5745 5561 6201 6022 6416 6253','Vantaa - Vanda 15 - 19 5970 6078 5905 5880 6397 6356','Vantaa - Vanda 20 - 24 6480 6548 5971 5993 6343 6284','Vantaa - Vanda 25 - 29 6797 6815 7354 7326 6735 6657','Vantaa - Vanda 30 - 34 7706 7428 7753 7434 7499 7153','Vantaa - Vanda 35 - 39 7766 7459 7910 7643 8249 7909','Vantaa - Vanda 40 - 44 7038 6770 7835 7445 7925 7520','Vantaa - Vanda 45 - 49 7909 7710 7156 6898 7880 7556','Vantaa - Vanda 50 - 54 7126 7130 7340 7266 7518 7323','Vantaa - Vanda 55 - 59 6129 6602 7029 7211 6558 6544','Vantaa - Vanda 60 - 64 5659 6536 5774 6124 6384 6514','Vantaa - Vanda >=65 12282 16668 15717 21344 19879 26286'] Table(Time,Testindex)( uniform(0,1), uniform(1,2), uniform(2,3) ) 64,368,1 48,24 2,40,50,416,303,0,SAMP [Time,Testindex] [Time,Testindex] [1,0,0,0] ['item 1'] ['item 1'] 64,400,1 48,12 ['item 1'] Slices the fields that are needed in the Res table. Removes duplicate rows. (if w_cell.j = 'Mean' then '' else W_cell) 536,256,1 48,16 2,782,213,476,379 2,85,231,505,368,0,MIDM 65535,45873,39321 [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] '' 304,120,1 48,20 1,1,1,1,1,1,0,0,0,0 [Formnode Append_to_run1] 52425,39321,65535 'PCDD/F concentration' 176,160,1 48,20 1,1,1,1,1,1,0,0,0,0 [Formnode Parameter_name1] 52425,39321,65535 testvariable 64,256,1 48,22 2,184,194,416,303,0,MIDM [Formnode Data_table4] 52425,39321,65535 [Time,Testindex] [1,0,0,0] Makes a list of all locations in all results in all variables. The list is as long as is needed for the Loccell table. A subset is taken then for the Cell table. 1) Initialises local variables, and slices variables from Object1. 2)-4) Does the process for each variable one at a time. This happens in function Loccell. 5) Makes i the row index. var a:= Data_table[@.j=size(data_table.j)-1]; index j:= ['id', 'Obj_id_v', 'Obj_id_r', 'Mean', 'SD', 'N']; var d:= max(data_table[.j='Obs'],data_table.i); index temp:= ['Mean','SD']; a:= if list_of_variables[varinfo='Probabilistic?']<>1 then array(temp,[a,'']) else ( index grun:= 1..d; index i:= 1..size(a.i)/d; a:= a[@.i=(i-1)*d+grun]; a:= array(temp,[mean(a,grun), sdeviation(a[j='Mean'],grun)]) ); a:= array(j,[ @a.i, List_of_variables[varinfo='Ident'], '', a[temp='Mean'], a[temp='SD'], d]) 304,256,1 48,16 2,54,15,526,639 2,608,45,641,493,0,MIDM [Sys_localindex('J'),Sys_localindex('I'),Undefined,Undefined,Undefined,1] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] [Undefined] [Sys_localindex('TEMP'),1,Sys_localindex('I'),1,Sys_localindex('J'),1] Choice(Self,1,False) 304,440,1 48,24 [Formnode Data_table_or_model1] 52425,39321,65535 ['1) Copy-paste a data table','2) Use an Analytica data table','3) Use an Analytica node'] [1,1,0,0] jtue 8. kesta 2009 9:03 48,24 544,96,1 48,24 Names of different wikis used. Table(Self)( 'Op_en','Op_fi','Heande','En','Fi','Erac','Beneris','Intarese','Piltti','Kantiva','Bioher','Heimtsa') [1,2,3,4,5,8,9,10,11,13,14,15] 340,40,1 48,16 65535,52427,65534 [Self] Types of different objects that may exist in Analytica or Opasnet Base. Types that have the same number are treated equally in these systems. Table(Self)( 'Variable','Dimension','Method','Model','Class','Index','Nugget','Encyclopedia article','Run','Chance','Decision','Objective','Constant','Determ','Module','Library','Form') [1,2,3,4,5,6,7,8,9,1,10,1,1,1,4,4,4] 100,328,1 48,20 2,56,132,476,224 2,674,34,416,606,0,MIDM 2,636,151,416,390,0,MIDM 65535,52427,65534 Additional information for each index and decision node. Description node is the name of a node containing information about the locations of the index. It must be indexed by the index. 1 212,424,1 48,22 2,140,217,476,224 2,605,351,664,303,0,MIDM 2,506,220,684,303,0,MIDM 52425,39321,65535 [] [] [1,1,0,1] var a:= if Data_table_or_model2 = 'Data table' then 1 else N_variables1; 'Var'&1..a 212,360,1 48,13 1,1,1,1,1,1,0,,0, 2,107,331,416,303,0,MIDM [1,1,1,0] ['Var1'] Additional information for each index and decision node. Description node is the name of a node containing information about the locations of the index. It must be indexed by the index. Table(Variable2,Varinfo1)( 'world_population1','Op_en3058',0 ) 212,328,1 48,22 2,140,217,476,224 2,11,16,553,630,0,MIDM 2,475,253,684,303,0,MIDM 52425,39321,65535 [Varinfo1,Variable2] [Varinfo1,Variable2] [0,1,1,0] 3 212,272,1 48,20 52425,39321,65535 [1,1,0,1] Table(Object_info3,Object2)( 'Testvariable','Year','The tissue from which the sample was taken','Species','Concentration of PCDD/F', 'pg/g','a','-','-','pg/g' ) 212,88,1 48,13 2,102,90,476,349 2,571,27,659,478,0,MIDM 2,184,194,660,316,0,MIDM 52425,39321,65535 [Object_info3,Object2] [Object_info3,Object2] ['Name','Unit'] 212,112,1 48,12 ['Name','Unit'] Makes a list of all locations in all results in all variables. The list is as long as is needed for the Loccell table. A subset is taken then for the Cell table. 1) Initialises local variables, and slices variables from Object1. 2)-4) Does the process for each variable one at a time. This happens in function Loccell. 5) Makes i the row index. , @observation=@cell_id+1 var output:= 0; output:= if Data_table_or_model2 = 'Data table' then Doloccell(Data_table1) else ( var e:= 0; var f:= 0; var x:= 1; while x<= size(Variable2) do ( var a:= sample(evaluate(List_of_variables1[@Variable2=x, Varinfo1='Analytica identifier'])); var b:= sdeviation(a); a:= mean(a); index temp:= concat(indexnames(a),['Result']); index i:= 1..size(a); a:= mdarraytotable(a, i, temp); b:= mdarraytotable(b, i, temp); index j:= concat(temp,['SD']); index temp2:= ['Result']; a:= concat(a, b[temp=temp2], temp, temp2, j); a:= Doloccell(a, x, e, f); e:= e+size(a.i); f:= f+size(i); output:= if x=1 then a else for y:= output.j do ( concat(output[.j=y], a[.j=y]) ); x:= x+1) ; output); {index i:= 1..size(output)/size(output.j); for y:= output.j do (slice(output[.j=y],i))} 340,328,1 48,16 2,708,12,526,596 2,31,123,731,488,0,MIDM [Sys_localindex('J'),Sys_localindex('I'),Undefined,Undefined,Undefined,1] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] [Undefined] [Sys_localindex('CONV2'),1,Parameter,1,Sys_localindex('L'),1] The usage of local variables: a: the temporary variable that is being edited. e: cardinal of the Cell table. f: cardinal of the Res table. j: output column headings. i: output row numbers. NOTE! ONLY THE DETERMINISTIC VERSION WORKS AT THE MOMENT. 1) Only one piece of information (Observations) is included. 2)-5) The process is done for each variable one at a time (this is indexed by x). 3) Several within-loop local variables are initiated. 4) The variable is given index runn which is equal to run if probabilistic and [0] if not. The array is flattened first to 2-D, the value only is kept. 5) Variables are concatenated to each other. 6) Index i is made the index of the implicit index. NOTE! This node MUST be formatted to Integer, otherwise Res_id will be stored in a wrong format. var output:= 0; output:= if Data_table_or_model2 = 'Data table' then Doresult(Data_table1, 0) else ( var e:= 0; var f:= 0; var x:= 1; while x<= size(Variable2) do ( var a:= sample(evaluate(List_of_variables1[@Variable2=x, Varinfo1='Analytica identifier'])); index j:= concat(indexnames(max(a,run)),['Result']); index i:= 1..size(max(a,run)); a:= mdarraytotable(a, i, j); a:= Doresult(a, List_of_variables1[@Variable2=x, Varinfo1='Probabilistic?'], e, f); e:= max(a[.j='Cell_id'],a.i); f:= max(a[.j='id'],a.i); output:= if x=1 then a else for y:= output.j do ( concat(output[.j=y], a[.j=y]) ); x:= x+1) ; output); index i:= 1..size(output)/size(output.j); output:= for y:= output.j do (slice(output[.j=y],i)) 340,400,1 48,16 2,642,17,585,615 2,28,187,469,411,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [Run,2,Sys_localindex('J'),1,Sys_localindex('I'),1] The format of this node MUST be integer, so that the id and Roww values are stored correctly. var output:= 0; output:= if Data_table_or_model2 = 'Data table' then Dolocation(Data_table1) else ( var x:= 1; while x<= size(Variable2) do ( var a:= mean(evaluate(List_of_variables1[@Variable2=x, Varinfo1='Analytica identifier'])); index j:= concat(indexnames(a),['Result']); index i:= 1..size(a); a:= mdarraytotable(a, i, j); a:= Dolocation(a); output:= if x=1 then a else for y:= output.j do ( concat(output[.j=y], a[.j=y]) ); x:= x+1) ; output); index i:= 1..size(output)/size(output.j); output:= for y:= output.j do (slice(output[.j=y],i)); output:= if output.j='id' then i else output; {if output.j='Description' then va5[@who_country_code=@output.i] else output} 340,224,1 48,16 2,549,55,476,581 2,482,15,746,348,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 [0] [Sys_localindex('D'),1,Object_all3,1,Age,1] index h:= data_table2[@.i=1, @.j=1..N_indices]; index j:= concat(h,['Parameter','Result']); index parameter:= data_table2[@.i=1, @.j=N_indices+(1..size(data_table2.j)-N_indices)]; index i:= 1..(size(data_table2.i)-1)*(size(parameter)); index loccell_id:= 1..(size(i)*size(h)); var conv:= if j='Result' then @parameter+N_indices else @j; index conv2:= 1..size(data_table2.i)-1; var a:= data_table2[@.j=conv, @.i=conv2+1]; a:= if j='Parameter' then parameter else a; a:= concatrows(a, parameter, conv2, i); if j='Result' then evaluate(a) else a var data:= if Data_table_name1 = '' then Data_table3 else evaluate(Data_table_name1); index h:= data.j[@.j=1..N_indices1]; var c:= if Parameter_name2='' then 'Parameter' else Parameter_name2; index j:= concat(h,[c,'Result']); index parameter:= data.j[@.j=N_indices1+(1..size(data.j)-N_indices1)]; index temp:= 1..size(data.i)*size(parameter); var conv:= if j='Result' then @parameter+N_indices1 else @j; var a:= data[@.j=conv]; a:= if @j=size(j)-1 then parameter else a; a:= concatrows(a, parameter, a.i, temp); a:= if j='Result' then evaluate(a[j='Result']) else a; index i:= Subset(a[j='Result']<>null); a[temp=i] 212,224,1 48,13 2,97,51,482,601 2,625,86,611,523,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [1,1,1,0] [Sys_localindex('I'),9,Sys_localindex('PARAMETER'),1,Sys_localindex('J'),1] ['Analytica identifier','Ident','Probabilistic?'] 212,384,1 48,12 2,90,166,416,303,0,MIDM ['Analytica identifier','Ident','Probabilistic?'] Index j:= ['id','Ident','Name','Unit','Objtype_id','Acttype_id','Page','Wiki_id', 'Who','Comments','Probabilistic?','Description node']; index i:= concat(Object2,['Run']); var a:= if j='Ident' and i = 'Var1' then Study_ident2 else null; a:= if Data_table_or_model2 = 'Data table' then a else List_of_variables1[Variable2=i, Varinfo1=j]; a:= if a=null then Object_info2[Object2=i, Object_info3=j] else a; var b:= 0{findintext(wikis,a[j='Ident'])}; var c:= sum(if b=0 then 0 else @Wikis1,Wikis1); b:= sum(if b=0 then 0 else b+textlength(Wikis1),Wikis1); b:= if b = 0 then 2664 else selecttext(a[j='Ident'],b); a:= array(j,[ @i, if @i>size(Variable2) and @i<size(i) then i else a, if i ='Run' then 'Analytica '&Analyticaedition&', ('&Analyticaplatform&'), Version: '&Analyticaversion&', Samplesize: '&samplesize else a, a, if @i<=size(Variable2) then 1 else if @i=size(i) then 9 else 6, if @i<=size(Variable2) then 11 else 1, if i='Run' then '2817' else b&'', if c=0 then 1&'' else c&'', opasnet_username, '', a, '']); a:= if a = null then '' else a 340,88,1 48,16 2,669,75,479,551 2,35,228,1070,315,0,MIDM [Sys_localindex('I'),Sys_localindex('J')] reset; var a:= indexnames(evaluate(List_of_variables1[Varinfo1='Analytica identifier'])); a:= if a='Variable1' or a='Run' then 0 else 1; a:= subset(a); a:= if Data_table_or_model2 = 'Data table' then Data_table1.j[@.j=1..size(Data_table1.j)-1] else a; var b:= if Data_table_or_model2 = 'Data table' then "['Var1']" else "variable1"; concat(evaluate(b),a) 212,136,1 48,13 2,59,17,630,338 2,857,175,416,303,0,MIDM [Year,Who_country_code] ['Var1','Year','Tissue','Species','PCDD/F concentration'] 'Op_en2693' 212,48,1 48,16 52425,39321,65535 [1,1,0,1] 'Year Tissue Species Fat content pg/g_fw 2378-TCDF pg/g_fw 2378-TCDD pg/g_fw 12378-PF pg/g_fw 23478-PF 2004 muscle meat with skin farmed Rainbow trout 19.6 1.00306 0.05134 0.11918 0.29145 2004 muscle meat with skin farmed Rainbow trout 14.2 0.84511 0.04254 0.09527 0.32938 2004 muscle meat with skin farmed Rainbow trout 21.3 1.17770 0.06711 0.13901 0.59145 2002 muscle meat with skin IL Burbot 0.35 0.62499 0.06050 0.17489 0.28163 2002 muscle meat with skin IL Burbot 0.44 0.30264 0.02528 0.06654 0.10435 2002 muscle meat with skin IL Burbot 0.35 0.09945 0.01126 0.01467 0.03898 2002 muscle meat with skin BS Burbot 0.45 0.29590 0.02929 0.03440 0.19786 2002 muscle meat with skin BS Burbot 0.38 0.15669 0.01231 0.03716 0.20770' 100,176,1 52,16 2,637,65,476,362 52425,39321,65535 var a:= splittext(textreplace(Observations2, chr(10),'',true),chr(13)); index i:= 1..size(a); a:= slice(a,i); a:= splittext(a, chr(9)); index j:= 1..size(a)/size(i); for y:= i do (slice(a[i=y],j)) var a:= splittext(textreplace(Observations1, chr(10),'',true),chr(13)); index j:= splittext(slice(a,1), chr(9)); index i:= 1..size(a)-1; a:= slice(a,i+1); a:= splittext(a, chr(9)); for y:= i do (slice(a[i=y],@j)) 100,224,1 48,16 2,98,65,476,362 2,8,352,966,357,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] [1,1,1,0] ['Municipality_fin Age Males 2013 Females 2013 Males 2020 Females 2020 Males 2030 Females 2030','Espoo - Esbo 0-4 9218 8791 9509 9067 9414 8976','Espoo - Esbo 5-9 8461 8019 8881 8418 9064 8590','Espoo - Esbo 10-14 7651 7276 8392 7983 8733 8316','Espoo - Esbo 15 - 19 7878 7665 7942 7634 8689 8302','Espoo - Esbo 20 - 24 9703 8254 9166 7700 9825 8164','Espoo - Esbo 25 - 29 9221 8671 10075 9363 9319 8580','Espoo - Esbo 30 - 34 10158 9887 10229 9855 9967 9545','Espoo - Esbo 35 - 39 9996 9824 10385 10112 10850 10446','Espoo - Esbo 40 - 44 8736 8672 9910 9754 10095 9833','Espoo - Esbo 45 - 49 9360 9789 8846 8897 9846 9866','Espoo - Esbo 50 - 54 8366 8843 8759 9227 9231 9424','Espoo - Esbo 55 - 59 7045 7880 8205 8891 7947 8322','Espoo - Esbo 60 - 64 6384 7645 6740 7617 7590 8370','Espoo - Esbo >=65 14543 19580 18716 25250 24301 32210','Helsinki - Helsingfors 0-4 14140 13613 14296 13762 13869 13349','Helsinki - Helsingfors 5-9 12102 11791 12391 12025 12387 12017','Helsinki - Helsingfors 10-14 11734 11389 11942 11544 12172 11764','Helsinki - Helsingfors 15 - 19 13797 14187 12321 12858 12862 13419','Helsinki - Helsingfors 20 - 24 21478 25254 19377 22926 19565 23290','Helsinki - Helsingfors 25 - 29 25056 27208 26650 28556 23965 25708','Helsinki - Helsingfors 30 - 34 24082 23867 23944 23568 22855 22377','Helsinki - Helsingfors 35 - 39 21005 19952 21072 20381 21649 20718','Helsinki - Helsingfors 40 - 44 17917 17261 19664 18761 19607 18751','Helsinki - Helsingfors 45 - 49 19971 20571 17476 17035 18919 18668','Helsinki - Helsingfors 50 - 54 18613 20147 18035 19002 18068 18226','Helsinki - Helsingfors 55 - 59 16671 19310 18191 20058 16135 16722','Helsinki - Helsingfors 60 - 64 15464 19421 15627 18273 16109 17856','Helsinki - Helsingfors >=65 37669 60241 45258 69319 55248 80147','Kauniainen - Grankulla 0-4 222 195 226 198 222 195','Kauniainen - Grankulla 5-9 276 238 280 251 283 253','Kauniainen - Grankulla 10-14 311 279 318 265 324 275','Kauniainen - Grankulla 15 - 19 376 315 327 281 339 288','Kauniainen - Grankulla 20 - 24 305 247 267 222 277 227','Kauniainen - Grankulla 25 - 29 183 144 207 154 184 140','Kauniainen - Grankulla 30 - 34 153 171 155 171 150 165','Kauniainen - Grankulla 35 - 39 214 254 219 255 228 262','Kauniainen - Grankulla 40 - 44 268 267 289 288 290 288','Kauniainen - Grankulla 45 - 49 337 371 281 293 305 312','Kauniainen - Grankulla 50 - 54 307 326 290 316 284 290','Kauniainen - Grankulla 55 - 59 259 239 280 285 248 238','Kauniainen - Grankulla 60 - 64 230 245 248 240 246 254','Kauniainen - Grankulla >=65 740 1083 826 1219 971 1410','Vantaa - Vanda 0-4 6782 6498 6962 6669 6825 6537','Vantaa - Vanda 5-9 6228 5945 6502 6217 6577 6287','Vantaa - Vanda 10-14 5745 5561 6201 6022 6416 6253','Vantaa - Vanda 15 - 19 5970 6078 5905 5880 6397 6356','Vantaa - Vanda 20 - 24 6480 6548 5971 5993 6343 6284','Vantaa - Vanda 25 - 29 6797 6815 7354 7326 6735 6657','Vantaa - Vanda 30 - 34 7706 7428 7753 7434 7499 7153','Vantaa - Vanda 35 - 39 7766 7459 7910 7643 8249 7909','Vantaa - Vanda 40 - 44 7038 6770 7835 7445 7925 7520','Vantaa - Vanda 45 - 49 7909 7710 7156 6898 7880 7556','Vantaa - Vanda 50 - 54 7126 7130 7340 7266 7518 7323','Vantaa - Vanda 55 - 59 6129 6602 7029 7211 6558 6544','Vantaa - Vanda 60 - 64 5659 6536 5774 6124 6384 6514','Vantaa - Vanda >=65 12282 16668 15717 21344 19879 26286'] table(Testindex1) ['item 1'] 100,384,1 48,24 [1,0,0,0] ['item 1'] ['item 1'] 100,416,1 48,12 ['item 1'] '' 340,136,1 48,20 1,1,1,1,1,1,0,0,0,0 52425,39321,65535 'PCDD/F concentration' 212,176,1 48,20 1,1,1,1,1,1,0,0,0,0 52425,39321,65535 '' 100,272,1 48,22 52425,39321,65535 Makes a list of all locations in all results in all variables. The list is as long as is needed for the Loccell table. A subset is taken then for the Cell table. 1) Initialises local variables, and slices variables from Object1. 2)-4) Does the process for each variable one at a time. This happens in function Loccell. 5) Makes i the row index. , @observation=@cell_id+1 index j:= ['Dummy','Result','SD']; var output:= 0; output:= if Data_table_or_model2 = 'Data table' then Doloccell(array(j, [0, Data_table1[@.j=size(Data_table1.j)],''])) else ( var e:= 0; var f:= 0; var x:= 1; while x<= size(Variable2) do ( var a:= sample(evaluate(List_of_variables1[@Variable2=x, Varinfo1='Analytica identifier'])); var b:= sdeviation(a); a:= mean(a); index temp:= concat(indexnames(a),['Result']); index i:= 1..size(a); a:= mdarraytotable(a, i, temp); b:= mdarraytotable(b, i, temp); a:= array(j, [0,a[temp='Result'], b[temp='Result']]); { index j:= concat(temp,['SD']); index temp2:= ['Result']; a:= concat(a, b[temp=temp2], temp, temp2, j); } a:= Doloccell(a, x, e, f); e:= e+size(a.i); f:= f+size(i); output:= if x=1 then a else for y:= output.j do ( concat(output[.j=y], a[.j=y]) ); x:= x+1) ; output); {index i:= 1..size(output)/size(output.j); for y:= output.j do (slice(output[.j=y],i))} 340,272,1 48,16 2,54,15,526,639 2,31,123,731,488,0,MIDM [Sys_localindex('J'),Sys_localindex('I'),Undefined,Undefined,Undefined,1] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] [Undefined] [Sys_localindex('CONV2'),1,Parameter,1,Sys_localindex('L'),1] Choice(Self,1,False) 340,456,1 48,24 52425,39321,65535 ['Data table','Analytica model'] [1,1,0,0] Makes a list of all locations in all results in all variables. The list is as long as is needed for the Loccell table. A subset is taken then for the Cell table. 1) Initialises local variables, and slices variables from Object1. 2)-4) Does the process for each variable one at a time. This happens in function Loccell. 5) Makes i the row index. , @observation=@cell_id+1 var e:= 0; var f:= 0; var x:= 1; index jtemp:= ['Dummy','Result','SD']; var a:= array(jtemp, [0, Data_table[@.j=size(data_table.j)-1],'']); index j:= ['id', 'Location', 'Cell_id', 'Loc_id', 'Obj_id_v', 'Obj_id_r', 'Mean', 'SD', 'N']; index h:= a.jtemp[@.jtemp=1..size(a.jtemp)-2]; index i:= 1..size(a.i)*size(h); var c:= Objects[@.i=x]; var d:= max(data_table[.j='Obs'],data_table.i); index grun:= 1..d; index gi:= 1..size(a.i)/d; var g:= a[jtemp='Result', @.i=(gi-1)*d+grun]; var sdg:= sdeviation(g,grun)[gi=floor((@a.i-1)/d)+1]; var meang:= mean(g,grun)[gi=floor((@a.i-1)/d)+1]; meang {a:= array(j,[ i[@i=@a.i+size(a.i)*(@h-1)]+e, a[.jtemp=h]&'', a.i+f, h, c[.j='Ident'], '', a[.jtemp='Result'], a[.jtemp='SD'], d]); concatrows(a,h,a.i,i)} 96,40,1 48,16 2,54,15,526,639 2,38,92,641,493,0,MIDM [Sys_localindex('GRUN'),Sys_localindex('I'),Undefined,Undefined,Undefined,1] 2,D,4,2,0,0,4,0,$,0,"ABBREV",0 [] [Undefined] [Sys_localindex('H'),1,Sys_localindex('J'),1,Sys_localindex('I'),1] var a:= list_of_variables[varinfo='Analytica identifier']; index j:= concat(indexnames(evaluate(a)),['Result','Obs']); var b:= (List_of_variables[Varinfo='Probabilistic?']=1); a:= if b then sample(evaluate(a)) else evaluate(a); index temp:= concat(indexnames(a),['Result']); index i:= 1..size(a); a:= Mdarraytotable(a, i, temp); a:= if j='Obs' and b then a[temp='Run'] else a[temp=j]; a:= if a=null then 0 else a 80,104,1 48,24 2,53,195,476,317 2,56,66,416,303,0,MIDM [Sys_localindex('I'),Sys_localindex('J')] [1,1,1,0] index j:= ['in1','In2','Result']; index i:= 1..3; I*@j 64,448,1 48,24 2,152,162,416,303,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] Index j:= ['id','Ident','Name','Unit','Objtype_id','Acttype_id','Page','Wiki_id', 'Who','Comments','Probabilistic?','Description node']; index i:= concat(Object1,['Run']); var a:= if j='Ident' and i = 'Var1' then study_ident else null; a:= if data_table_or_model_ = 'Data table' then a else List_of_variables[Variable1=i, Varinfo=j]; a:= if a=null then Object_info1[Object1=i, Object_info=j] else a; var b:= 0{findintext(wikis,a[j='Ident'])}; var c:= sum(if b=0 then 0 else @wikis,wikis); b:= sum(if b=0 then 0 else b+textlength(Wikis),wikis); b:= if b = 0 then 2664 else selecttext(a[j='Ident'],b); a:= array(j,[ @i, if @i>size(variable1) and @i<size(i) then i else a, if i ='Run' then 'Analytica '&Analyticaedition&', ('&Analyticaplatform&'), Version: '&Analyticaversion&', Samplesize: '&samplesize else a, a, if @i<=size(variable1) then 1 else if @i=size(i) then 9 else 6, if @i<=size(variable1) then 11 else 1, if i='Run' then '2817' else b&'', if c=0 then 1&'' else c&'', opasnet_username, '', a, '']); a:= if a = null then '' else a 312,80,1 48,16 2,15,4,479,375 2,35,228,1070,315,0,MIDM [Sys_localindex('I'),Sys_localindex('J')] ktluser 3. Augta 2008 18:31 jtue 9. lokta 2008 14:01 48,24 184,96,1 48,24 1,1,1,1,1,1,0,0,0,0 1,785,211,477,445,17 Arial, 15 (vident:text, runident:optional) Reads the mean data about the vident variable from the Opasnet Base. Uses the runident run if specified; otherwise uses the newest run of that variable. PARAMETERS: * Vident: the Ident of the variable in the Opasnet Base. * Runident: the Ident of the run from which the results will be brought. If omitted, the newest result will be brought. if isnotspecified(runident) then runident:= identfind(newestrun(vident)); var a:= ' SELECT Var.Ident as Vident, Var.Name as Vname, Var.Unit as Vunit, Cell.id, Ind.Ident as Iident, Location, Mean, N, Run.Name as Rname, Run.Ident AS Runident FROM Obj as Var, Cell, Loccell, Loc, Obj as Ind, Obj as Run WHERE Cell.Obj_id_r = Run.id AND Cell.Obj_id_v = Var.id AND Loccell.Cell_id = Cell.id AND Loccell.Loc_id = Loc.id AND Loc.Obj_id_i = Ind.id AND Var.Ident = '&chr(39)&vident&chr(39)&' AND Run.ident = '&chr(39)&runident&chr(39) ; index i:= DBquery(Odbc,a); index j:= dblabels(i); dbtable(i,j) 56,88,1 48,12 2,585,25,516,589 39325,65535,39321 vident,runident (vident:text) This function checks for the newest result (according to run_id) of the variable. The function is used if the user does not define the run_id as an optional parameter in functions Read_mean and Read_sample. PARAMETERS: * Vident: the Ident of the variable in the Opasnet Base. index i:= DBquery(Odbc,' SELECT Obj_id_r FROM Cell, Obj as Var WHERE Var.id = Cell.Obj_id_v AND Var.Ident = "'&vident&'" GROUP BY Var.id, Obj_id_r '); index j:= dblabels(i); max(max(dbtable(i,j),i),j) 56,16,1 48,12 2,678,59,476,566 39325,65535,39321 vident (vident:text, runident:optional) Reads the sample data about the vident variable from the Opasnet Base. Uses the runident run if specified; otherwise uses the newest run of that variable. PARAMETERS: * Vident: the name of the variable in the Opasnet Base. * Runident: the Ident of the run from which the results will be brought. If omitted, the newest result will be brought. if isnotspecified(runident) then runident:= identfind(newestrun(vident)); var a:= ' SELECT Temp.id, Obs, Result, Restext FROM (SELECT Cell.id, Res.id AS Res_id, Obs, Result, Obj_id_r FROM Cell, Res, Obj AS Run, Obj AS Var WHERE Var.Ident = '&chr(39)&vident&chr(39)&' AND Cell.Obj_id_v = Var.id AND Cell.Obj_id_r = Run.id AND Run.Ident = '&chr(39)&Runident&chr(39)&' AND Res.Cell_id = Cell.id) AS Temp LEFT JOIN Resinfo ON Temp.Res_id = Resinfo.id '; index i:= DBquery(Odbc,a); index j:= dblabels(i); dbtable(i,j) 56,120,1 48,22 2,700,47,516,612 39325,65535,39321 vident,runident 'Op_en1912' 168,83,1 48,27 [Formnode Enter_variable1] 52425,39321,65535 0 288,24,1 176,13 1,0,0,1,0,0,0,170,0,1 52425,39321,65535 Enter_variable newestrun(Enter_variable) 288,60,1 48,12 read_mean(Enter_variable) 288,108,1 48,12 2,56,66,1205,308,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] (a,inde) The input table a must have a structure that is also used as input for MDTable function. The function removes one column with location information and makes a dimension (index) with the locations in the column. Inde is the (local) index that will be added. Note that unlike MDTable function, this can use local indices in the output. if size(a.m)= 1 then a else ( a:= if inde = a[@.m=1] then a else 0; index m:= slice(a.m,(2..size(a.m))); a:= a[.m=m]) 56,176,1 48,12 2,283,62,476,224 a,inde (a) Makes a multi-dimensional array with the same structure as the original variable that was stored into the Opasnet Base. However, the indices do not have original names. They are named In1, In2,... The contents of the array are the res.ids of the variable. The input parameter must be a 2D table with the structure that comes from the Read_mean function. 1) Slices the necessary columns from the input table and converts that to a 2D table that has the same structure as is used for input to the function MDTable. 2) Defines the local indices (up to 10), and changes a location column to a dimension one at a time until all columns have been changed. index k:= ['Iident','Location','id']; a:= a[.j=k]; index L:= a[@k=1]&'+'&textify(a[@k=3]); index m:= concat(a[.i=unique(a[@k=1],a.i), @k=1],['Result']); index n:= a[.i=unique(a[@k=3],a.i), @k=3]; a:= a[@.i=@L]; a:= a[L=(m)&'+'&textify(n), @k=2]; a:= if m='Result' then n else a; index in1:= a[n=unique(a[@m=1],n),@m=1]; index in2:= a[n=unique(a[@m=2],n),@m=2]; index in3:= a[n=unique(a[@m=3],n),@m=3]; index In4:= a[n=unique(a[@m=4],n),@m=4]; index In5:= a[n=unique(a[@m=5],n),@m=5]; index in6:= a[n=unique(a[@m=6],n),@m=6]; index in7:= a[n=unique(a[@m=7],n),@m=7]; index in8:= a[n=unique(a[@m=8],n),@m=8]; index in9:= a[n=unique(a[@m=9],n),@m=9]; index in10:= a[n=unique(a[@m=10],n),@m=10]; a:= makeind(a, in1); a:= makeind(a, in2); a:= makeind(a, in3); a:= makeind(a, in4); a:= makeind(a, in5); a:= makeind(a, in6); a:= makeind(a, in7); a:= makeind(a, in8); a:= makeind(a, in9); a:= makeind(a, in10); sum(sum(a,a.m),a.n) 56,152,1 48,12 2,669,44,476,545 a get_mean(Enter_variable) 288,132,1 48,12 2,547,35,416,622,0,MIDM [Sys_localindex('IN2'),Sys_localindex('IN3')] [Sys_localindex('IN1'),1,Sys_localindex('IN4'),1,Sys_localindex('IN5'),1,Sys_localindex('IN3'),1,Sys_localindex('IN2'),1] (vident:text, runident:optional) Gives the mean result of a (multidimensional) variable stored in the Opasnet Base. The procedure is simple because it utilises the variable structure (with res_ids) derived by the get_res_id function. var a:= read_mean(vident, runident); index o:= a[.j='id']; var output:= a[@.i=@o, .j='Mean']; a:= get_res_id(a); output[o=a] 56,200,1 48,12 2,665,82,476,428 vident,runident (vident:text, runident:optional) Gives the sample result of a (multidimensional) variable stored in the Opasnet Base. The procedure is simple because it utilises the variable structure (with res_ids) derived by the get_res_id function. Note that if the Analytica samplesize is smaller than the samplesize stored in the Opasnet Base, the extra samples will be discarded. If the samplesize is larger, the remaining rows will be null. 1) Brings the data into the right structure. 2) Chooses whether the actual result is numerical (in the Result column) or text (in the Description column). var a:= read_sample(vident, runident); var b:= textify(get_res_id(read_mean(vident,runident))); index k:= textify(a[.j='id'])&'+'&textify(a[.j='Obs']); index runn:= textify(min(a[.j='Obs'])..max(a[.j='Obs'])); a:= a[@.i=@k]; a:= a[k=b&'+'&runn]; a:= if max(runn)=0 then a[@runn=1] else a[@runn=@run]; var c:= if a[.j='Restext']='' then 0 else 1; c:= sum(sum(sum(sum(sum(sum(sum(sum(sum(sum(c)))))))))); if c=0 then a[.j='Result'] else a[.j='Restext'] 56,224,1 48,12 2,641,28,476,556 vident,runident get_sample(Enter_variable) 288,156,1 48,12 2,226,324,416,303,0,MEAN [Sys_localindex('IN5'),Sys_localindex('IN3')] [Sys_localindex('IN1'),1,Sys_localindex('IN2'),1,Sys_localindex('IN4'),1,Sys_localindex('IN3'),1,Sys_localindex('J'),1,Sys_localindex('IN5'),1] (runid) Finds the Ident for the run (or another object) that has the id runid. index i:= DBquery(Odbc,' SELECT Ident FROM Obj WHERE Obj.id = "'&runid&'" '); index j:= dblabels(i); var a:= dbtable(i,j); a[@i=1, @j=1] 56,64,1 48,12 2,732,65,516,589 39325,65535,39321 runid Describes the runs of the defined variable. This should be made a function. var_run_info(Enter_variable) 288,84,1 48,12 2,136,146,1111,285,0,MIDM [Sys_localindex('J'),Sys_localindex('I')] (vident:text) This function checks for the newest result (according to run_id) of the variable. The function is used if the user does not define the run_id as an optional parameter in functions Read_mean and Read_sample. PARAMETERS: * Vident: the Ident of the variable in the Opasnet Base. var a:= ' SELECT Var.Ident, Var.Name, Var.Unit, Run.Ident AS Runident, Act.When, Act.Who, Run.Name as Method FROM Obj as Var, Obj as Run, Cell, Objinfo AS Act WHERE Var.Ident = '&chr(39)&vident&chr(39)&' AND Var.id = Cell.Obj_id_v AND Run.id = Cell.Obj_id_r AND Run.id = Act.id GROUP BY Var.id, Run.id '; index i:= DBquery(Odbc,a); index j:= dblabels(i); dbtable(i,j) 56,40,1 48,13 2,678,59,476,566 39325,65535,39321 vident Use these functions to retireve data from the Opasnet base: * Newest_run: finds the newest run of the object. * Var_run_info: Finds the run information of the object. * Read_mean: Reads the means of each cell. * Get_mean * Get_sample: Reads the whole sample. Note! These should be updated when we get experience about what we actually want out. 280,285,-1 168,101 (a) Changes an integer of any length to a text value. This bypasses the number formatting problem that tends to convert e.g. 93341 to '93.34K'. If the number is not integer, up to three digits after the decimal point will be taken as well. a&'' {for y[]:= a do ( if istext(y) then y else ( var x:= 1; var b:= ''; var c:= if y<1 then 1 else floor(logten(y))+1; while x<= c do ( b:= (y-floor(y/10)*10)&b; y:= floor(y/10); x:= x+1); b) )} 56,248,1 48,12 2,102,90,476,371 a 2,F,4,14,0,0,4,0,$,0,"ABBREV",0 ktluser 8. Decta 2008 3:01 48,24 64,96,1 48,24 1,30,113,495,453,17 Types of different objects that may exist in Analytica or Opasnet Base. Types that have the same number are treated equally in these systems. Table(Self)( 'Variable','Dimension','Method','Model','Class','Index','Nugget','Encyclopedia article','Run','Chance','Decision','Objective','Constant','Determ','Module','Library','Form') [1,2,3,4,5,6,7,8,9,1,10,1,1,1,4,4,4] 96,44,1 48,20 2,56,132,476,224 2,674,34,416,606,0,MIDM 2,636,151,416,390,0,MIDM 65535,52427,65534 (a; file:texttype) a:= '"'&a&'"'; a:= jointext(a,a.j,';'); Writetextfile('c:\temp\'&file, a) 168,368,1 48,13 2,44,303,476,224 a,file 2,F,4,14,0,0,4,0,$,0,"ABBREV",0 (a; x:optional = 1; e, f:optional=0) 1) Size(h) is size(a.j)-2 because j contains 'Result' and 'SD'. 2) Only the deterministic information about variables are considered (therefore mean). Makes a 2D table of the locres info. 3) Makes a table with fields required by the Loccell and Cell tables. 4) Reduces one dimension by expanding the length from the length of Cell to that of Loccell. index j:= ['id', 'Location', 'Cell_id', 'Loc_id', 'Obj_id_v', 'Obj_id_r', 'Mean', 'SD', 'N']; index h:= a.j[@.j=1..size(a.j)-2]; index i:= 1..size(a.i)*size(h); var c:= Objects[@.i=x]; a:= array(j,[ i[@i=@a.i+size(a.i)*(@h-1)]+e, a[.j=h]&'', a.i+f, h, c[.j='Ident'], '', a[.j='Result'], a[.j='SD'], if c[.j='Probabilistic?']=1 then samplesize else 0]); concatrows(a,h,a.i,i) 400,280,1 48,13 2,627,78,556,561 a,x,e,f (a: prob; probabilistic; e, f: optional=0) index runn:= if Probabilistic=1 then copyindex(run) else [0]; index i:= (1..size(max(a.i,run))*size(runn))+f; a:= if Probabilistic=1 then a[run=runn] else (if runn=0 then a else a); a:= a[.j='Result']; index j:= ['id','Cell_id','Obs','Result','Restext']; a:= array(j,[0, a.i+e, runn, (if istext(a) then 0 else a) , (if istext(a) then a else 0)]); a:= concatrows(a,a.i,runn, i); a:= if j='id' then i else a 400,256,1 48,13 2,687,174,476,526 a,probabilistic,e,f (a) var b:= [0]; var c:= [0]; var e:= [0]; var f:= [0]; var x:= 1; while x<= size(a.j)-1 do ( var h:= a[@.j=x]; var d:= h[.i=unique(h,h.i)]; b:= concat(b,d); c:= concat(c,(if d=0 then slice(a.j,x) else slice(a.j,x))); e:= concat(e,1..size(d)); x:= x+1); index i:= 1..size(b)-1; index j:= ['id','Obj_id_i', 'Location', 'Roww', 'Description']; array(j,[i, slice(c,i+1), slice(b,i+1)&'', slice(e,i+1), '']); 400,232,1 48,12 2,671,164,503,486 a This library contains functions to make various instances of concatenation more convenient. Concat3 thru Concat10 are generalizations of the built-in Concat function which concatenate from 3 to 10 arrays in a single call (while the built-in Concat concatenates two arrays). ConcatRows concatenates all the rows of a single array. David Kendall & Lonnie Chrisman Mon, Jan 26, 2004 8:49 AM Lonnie Wed, Sep 05, 2007 3:23 PM 48,24 184,328,1 68,20 1,0,0,1,1,1,0,0,0,0 1,50,200,488,454,23 (A1, A2, A3: ArrayType; I1, I2, I3, J: IndexType ) Concatenates three arrays, A1, A2, and A3. I1, I2, and I3 are the indexes that are joined; J is the index of the new array; J usually is the concatenation of I1, I2, and I3 Index I12 := Concat(I1,I2); Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, J ) 88,64,1 48,26 2,56,56,986,596 A1,A2,A3,I1,I2,I3,J (A1, A2, A3, A4: ArrayType; I1, I2, I3, I4, J: IndexType ) Concatenates four arrays, A1, A2, A3, and A4. I1, I2, I3, and I4 are the indexes that are joined; J is the index of the new array; J usually is the concatenation of I1, I2, I3, and I4. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, J); 192,64,1 48,24 2,30,30,986,596 A1,A2,A3,A4,I1,I2,I3,I4,J 0 (A1, A2, A3, A4, A5, A6, A7, A8, A9: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, I9, J: IndexType) Concatenates nine arrays, A1, ..., A9. I1, ..., I9 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I9. Index I12 := Concat(I1,I2); Index I123 := Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Index I1234567 := Concat(I123456, I7); Index I12345678 := Concat(I1234567, I8); Concat( Concat( Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, I1234567), A8, I1234567, I8, I12345678), A9, I12345678, I9, J); 88,232,1 48,24 2,27,120,469,638 A1,A2,A3,A4,A5,A6,A7,A8,A9,I1,I2,I3,I4,I5,I6,I7,I8,I9,J 0 (A1, A2, A3, A4, A5: ArrayType; I1, I2, I3, I4, I5, J: IndexType ) Concatenates five arrays, A1, ..., A5. I1, ..., I5 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I5. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, J); 88,120,1 48,24 2,160,160,986,596 A1,A2,A3,A4,A5,I1,I2,I3,I4,I5,J (A1, A2, A3, A4, A5, A6: ArrayType; I1, I2, I3, I4, I5, I6, J: IndexType ) Concatenates six arrays, A1, ..., A6. I1, ..., I6 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I6. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, J); 192,120,1 48,24 2,644,94,602,712 A1,A2,A3,A4,A5,A6,I1,I2,I3,I4,I5,I6,J 0 (A1, A2, A3, A4, A5, A6, A7: ArrayType; I1, I2, I3, I4, I5, I6, I7, J: IndexType ) Concatenates seven arrays, A1, ..., A7. I1, ..., I7 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I7. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, J); 88,176,1 48,24 2,580,98,551,565 A1,A2,A3,A4,A5,A6,A7,I1,I2,I3,I4,I5,I6,I7,J (A1, A2, A3, A4, A5, A6, A7, A8: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, J: IndexType ) Concatenates eight arrays, A1, ..., A8. I1, ..., I8 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I8. Index I12 := Concat(I1,I2); Index I123:= Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Index I1234567 := Concat(I123456, I7); Concat( Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, I1234567), A8, I1234567, I8, J); 192,176,1 48,24 2,12,98,561,737 A1,A2,A3,A4,A5,A6,A7,A8,I1,I2,I3,I4,I5,I6,I7,I8,J 0 (A1, A2, A3, A4, A5, A6, A7, A8, A9, A10: ArrayType; I1, I2, I3, I4, I5, I6, I7, I8, I9, I10, J: IndexType) Concatenates ten arrays, A1, ..., A10. I1, ..., I10 are the indexes joined; J is the index of the new array; J usually is the concatenation of I1, ..., I10. Index I12 := Concat(I1,I2); Index I123 := Concat(I12, I3); Index I1234 := Concat(I123, I4); Index I12345 := Concat(I1234, I5); Index I123456 := Concat(I12345, I6); Index I1234567 := Concat(I123456, I7); Index I12345678 := Concat(I1234567, I8); Index I123456789 := Concat(I12345678, I9); Concat( Concat( Concat( Concat( Concat( Concat( Concat( Concat( Concat( A1,A2,I1,I2,I12 ), A3, I12, I3, I123), A4, I123, I4, I1234), A5, I1234, I5, I12345), A6, I12345, I6, I123456), A7, I123456, I7, I1234567), A8, I1234567, I8, I12345678), A9, I12345678, I9, I123456789), A10, I123456789, I10, J); 192,232,1 48,24 2,542,93,632,744 A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,I1,I2,I3,I4,I5,I6,I7,I8,I9,I10,J 0 (A : ArrayType ; RowIndex,ColIndex,ResultIndex : IndexType) Takes an array, A indexed by RowIndex & ColIndex, and concatenates each row, henceforth flattening the array by one dimension. The result is indexed by ResultIndex, which must be an index with size(RowIndex) * size(ColIndex) elements. index L := [ identifier of RowIndex, identifier of ColIndex, "val"]; slice(Mdarraytotable(A,ResultIndex,L),L,3) 320,64,1 64,24 2,499,85,478,348 A,RowIndex,ColIndex,ResultIndex Lonnie Thu, Sep 11, 1997 2:15 PM Lonnie Tue, Feb 05, 2008 10:03 AM 48,24 56,328,1 52,20 1,1,1,1,1,1,0,0,0,0 1,20,272,499,462,17 Arial, 13 (A:ArrayType;I:IndexType;L:IndexType;row:IndexType;dbTableName) Generates the SQL "INSERT INTO" statement for one line of table A. A is a 2-D table indexed by rows I and columns L. L's domain serves as the column names in the database table. dbTableName is the name of the table in the database. The result begins with two semi-colons, since it will be used with an SQL statement preceeding it. 29.8.2008 Jouni Tuomisto I added the parameter IGNORE because it ignores rows that would cause duplicate-key violations. This way, there is no need to check for e.g. existing locations of new indices. 6.1.2009 Jouni Tuomisto I changed the A[I=row] to A[@I=@row] because the original function does not work correctly, if there are non-unique rows in the index. (';;INSERT IGNORE INTO ' & dbTableName & '(' & JoinText(L,L,',') & ') VALUES (' & Vallist(A[@I=@row],L)) & ') ' 184,32,1 52,24 2,591,203,487,469 A,I,L,row,dbTableName (V:ArrayType;I:IndexType) Takes a list of values, and returns a string which the concatenation of each value, separated by commas, and with each value quoted. JoinText( '''' & V & '''', I, ',') 72,32,0 52,24 2,642,360,476,224 V,I 1,F,4,14,0,0 (Tabl:ArrayType;RowIndex:IndexType;LabelIndex:IndexType;dbTableName) Returns the SQL that will write the table to the database table. This can be used as the second argument to DBWrite. This SQL statement replaces the entire contents of an existing table with the new data. 'DELETE FROM '& Dbtablename & JoinText(Insertrecsql(Tabl, Rowindex, Labelindex, Rowindex, Dbtablename),RowIndex) 328,32,1 88,24 2,728,341,510,476 Tabl,RowIndex,LabelIndex,dbTableName (Tabl:ArrayType;RowIndex:IndexType;LabelIndex:IndexType;dbTableName) Returns the SQL that will write the table to the database table. This can be used as the second argument to DBWrite. This SQL statement replaces the entire contents of an existing table with the new data. JoinText(Insertrecsql(Tabl, Rowindex, Labelindex, Rowindex, Dbtablename),RowIndex) 328,88,1 88,24 2,559,127,510,476 Tabl,RowIndex,LabelIndex,dbTableName (table:texttype) Brings the largest id number from the table defined in the parameter. index i:= DBquery(odbc,' SELECT MAX(id) AS id FROM '&table&' '); index j:= dblabels(i); max(max(DBTable(i, j ),i),j) 56,272,1 48,12 2,102,90,476,331 39325,65535,39321 table List of such tables in Opasnet Base that are being written to by this module. ['Obj','Cell','Loc','Loccell','Sett','Item','Res'] 280,256,1 48,13 2,15,594,158,227,0,MIDM ['Obj','Cell','Loc','Loccell','Sett','Item','Res'] The largest id values for the selected Opasnet Base tables. The table is updated by pressing the R_cardinals button. Table(Table1)( 826,755.574K,14.142K,2.096274M,47,146,2.042832M ) 280,232,1 48,12 2,634,394,476,332 2,193,270,416,303,0,MIDM 2,87,329,416,303,0,MIDM 39325,65535,39321 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 (in, table; cond:texttype) This function gets an id from a table. in: the property for which the id is needed. In MUST be unique in cond and it must contain index i. table: the table from where the id is brought. The table MUST have .j as the column index, .i as the row index, and a column named 'id'. cond: the name of the field that is compared with in. Cond must be text. index L:= in[.i=unique(in, in.i)]; var a:= if (L&' ') = (table[.j=cond]&' ') then table[.j='id'] else 0; a:= textify(sum(a, table.i)); a[.L=in] 56,248,1 48,12 2,636,101,494,519 in,table,cond (type) Finds the objects that are of the object type "type" (the only parameter of this function). Based on the information in Objects1. var a:= if Objects1[.j='Typ_id']=type then 1 else 0; Objects1[Object_all=subset(a),.j='id'] 56,224,1 48,12 2,551,191,476,344 type (var, table) For Lumina AWP use the following should be used: 'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97;Database=opasnet_base;User=resultwriter; Password=;Option=3' For internal THL use the following should be used: 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102;Database=opasnet_base;User=resultwriter; Password='&writerpsswd&';Option=3' if size(var)>0 then dbwrite((if platform = 'Lumina AWP' then 'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97' else 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102')&';Database=opasnet_base;User=resultwriter; Password='&writerpsswd&';Option=3' , appendtablesql(var,var.i, var.j, table&' ')) 56,296,1 48,12 2,776,65,476,457 var,table For Lumina AWP use the following should be used: 'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97;Database=opasnet_base;User=resultwriter; Password=;Option=3' For internal THL use the following should be used: 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102;Database=opasnet_base;User=resultwriter; Password='&writerpsswd&';Option=3' var a:= if platform='Lumina AWP' then 'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97' else 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102'; a&';Database=opasnet_base;User=resultwriter; Password='&writerpsswd&';Option=3' 168,232,1 48,12 1,1,0,1,1,1,0,,0, 2,102,90,495,346 2,168,178,833,303,0,MIDM [] The username for Opasnet wiki 'Add username' 168,161,1 48,22 1,1,1,1,1,1,0,0,0,0 [Formnode Username1] 52425,39321,65535 The user's password for Opasnet wiki. 'Add password' 168,200,1 48,22 1,1,1,1,1,1,0,0,0,0 [Formnode Password1] 52425,39321,65535 Contains the parameters for the open database connectivity (ODBC). For Lumina AWP use the following should be used: 'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97;Database=opasnet_base;User=result_reader; Password=ora4ever;Option=3' For THL internal use the following should be used: 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102;Database=opasnet_base;User=result_reader; Password=ora4ever;Option=3' var a:= if platform='Lumina AWP' then 'Driver={MySQL ODBC 3.51 Driver};Server=193.167.179.97' else 'Driver={MySQL ODBC 5.1 Driver};Server=10.66.10.102'; a&';Database=opasnet_base;User=result_reader; Password=ora4ever;Option=3' 168,128,1 48,12 1,1,0,1,1,1,0,,0, 2,102,90,508,420 2,56,66,918,303,0,MIDM index i:= copyindex(D_i); index j:= copyindex(D_j); Dim1[d_i=i, d_j=j] 400,160,1 48,13 1,1,0,1,1,1,0,0,0,0 2,89,98,476,224 2,635,328,556,489,0,MIDM 19661,54073,65535 [D_i,D_j] [Sys_localindex('J'),Sys_localindex('I')] index i:= copyindex(I_i); index j:= copyindex(I_j); Ind1[I_i=i, I_j=j] 400,184,1 48,13 1,1,0,1,1,1,0,0,0,0 2,380,47,476,296 2,490,110,649,655,0,MIDM 19661,54073,65535 [Sys_localindex('J'),Sys_localindex('I')] index i:= copyindex(L_i); index j:= copyindex(L_j); Loc1[L_i=i, L_j=j] 400,96,1 48,13 1,1,0,1,1,1,0,0,0,0 2,370,45,476,445 2,43,42,1147,516,0,MIDM 19661,54073,65535 [Sys_localindex('J'),Sys_localindex('I')] 2,I,4,2,0,0,4,0,$,0,"ABBREV",0 This node checks the variables listed in Var_for_rdb and makes an index of those that are NOT found in the result database. This is then used as an index in Inp_var for adding variable information. index i:= copyindex(O_i); index j:= copyindex(O_j); Obj2[O_i=i, O_j=j] 400,48,1 48,13 1,1,0,1,1,1,0,0,0,0 2,378,21,493,501 2,21,103,977,421,0,MIDM 19661,54073,65535 [Sys_localindex('J'),Sys_localindex('I')] ['H1991'] [Self,1,Sys_localindex('I'),1,Sys_localindex('J'),1] Standard versions 400,112,-1 72,100 1,0,0,1,0,1,0,,0, [0] 168,24,1 48,12 [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22] ['id','Ident','Name'] 168,48,1 48,12 ['id','Ident','Name'] [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34] 168,72,1 48,12 [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34] ['id','Iident','Iname','Did','Dident','Dname'] 168,96,1 48,12 ['id','Iident','Iname','Did','Dident','Dname'] 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['id','Std_id','Obj_id_i','Location','Roww','Description','id','Ident','Name','Unit','Objtype_id','Page','Wiki_id','Newest'] 56,144,1 48,12 ['id','Std_id','Obj_id_i','Location','Roww','Description','id','Ident','Name','Unit','Objtype_id','Page','Wiki_id','Newest'] 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56,24,1 48,13 [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364] ['id','Ident','Name','Unit','Objtype_id','Page','Wiki_id','Newest'] 56,48,1 48,13 ['id','Ident','Name','Unit','Objtype_id','Page','Wiki_id','Newest'] This node checks the variables listed in Var_for_rdb and makes an index of those that are NOT found in the result database. This is then used as an index in Inp_var for adding variable information. index i:= copyindex(S_i); index j:= copyindex(S_j); Sett1[S_i=i, S_j=j] 400,72,1 48,13 1,1,0,1,1,1,0,0,0,0 2,378,21,493,501 2,227,134,319,515,0,MIDM 19661,54073,65535 [Sys_localindex('J'),Sys_localindex('I')] ['H1991'] [Self,1,Sys_localindex('I'),1,Sys_localindex('J'),1] This node checks the variables listed in Var_for_rdb and makes an index of those that are NOT found in the result database. This is then used as an index in Inp_var for adding variable information. index i:= copyindex(It_i); index j:= copyindex(It_j); Item1[it_i=i, it_j=j] 400,120,1 48,13 1,1,0,1,1,1,0,0,0,0 2,378,21,493,501 2,298,216,382,519,0,MIDM 19661,54073,65535 [Sys_localindex('J'),Sys_localindex('I')] ['H1991'] [Self,1,Sys_localindex('I'),1,Sys_localindex('J'),1] [0] 56,168,1 48,13 [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35] ['id','Sett_id','Obj_id','Fail'] 56,192,1 48,13 ['id','Sett_id','Obj_id','Fail'] [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28] 56,72,1 48,13 [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28] ['id','Obj_id','Settype_id'] 56,96,1 48,13 ['id','Obj_id','Settype_id'] 0 280,160,1 48,13 1,1,1,1,1,1,0,0,0,0 2,89,98,476,224 2,604,56,556,489,0,MIDM 39325,65535,39321 [D_i,D_j] [D_j,D_i] Table(I_i,I_j)( 55,'Salmon_decision','',33,'Decision','Possible range of decisions for a single decision-maker', 80,'Reg_poll','',33,'Decision','Possible range of decisions for a single decision-maker', 81,'Recommendation1','',33,'Decision','Possible range of decisions for a single decision-maker', 83,'H1899','',33,'Decision','Possible range of decisions for a single decision-maker', 84,'H1898','',33,'Decision','Possible range of decisions for a single decision-maker', 56,'Hma_area','',37,'Spatial_location','Spatial location', 57,'Hma_region','',37,'Spatial_location','Spatial location', 58,'Hma_zone','',37,'Spatial_location','Spatial location', 88,'Condb_location1','',37,'Spatial_location','Spatial location', 93,'Op_en2672','',37,'Spatial_location','Spatial location', 59,'Year_1','',35,'Time','Time', 61,'Year_2','',35,'Time','Time', 82,'Year3','',35,'Time','Time', 60,'Op_en2665','Cause of death 1',34,'Health_impact','Health impact', 62,'Cause_of_death_2','',34,'Health_impact','Health impact', 85,'Cause_of_death3','',34,'Health_impact','Health impact', 63,'Length_1','',38,'Length','Length', 70,'Output_1','',39,'Non_health_impact','Non-health impact', 65,'Period_1','',40,'Period','Period', 86,'Run','',32,'0','No dimension has been identified', 71,'Vehicle_noch','',43,'Vehicle_type','Vehicle type', 92,'Vehicle_1','',43,'Vehicle_type','Vehicle type', 72,'Stakeholder_1','',44,'Person_or_group','Person or group', 73,'Mode1','',45,'Transport_mode','Transport mode', 74,'Cost_structure_1','',46,'Cost_type','Cost type', 75,'Comp_fr_1','',47,'Composite_fraction','Composite fraction', 76,'Age1','',48,'Age','Age', 77,'Municipality_fin1','',49,'Municipality_fin','Municipalities in Finland', 79,'Salmon1','',51,'Food_source','The method for food production', 78,'Pollutant1','',36,'Pollutant','Pollutant', 89,'Condb_agent1','',36,'Pollutant','Pollutant', 91,'Condb_agent2','',36,'Pollutant','Pollutant', 87,'Condb_compartment1','',42,'Environ_compartment','Environmental compartment', 90,'Condb_param1','',54,'Parameter','Statistical and other parameters of a variable' ) 280,184,1 48,13 1,1,1,1,1,1,0,0,0,0 2,380,47,476,296 2,232,242,874,303,0,MIDM 2,12,22,876,493,0,MIDM 39325,65535,39321 [I_j,I_i] [I_j,I_i] Table(L_i,L_j)( 1,1,1,'Business as usual',0,'',1,'Op_en1901','Net health effects due to the consumption of salmon','avoided cases/a',1,1901,1,183, 2,2,1,'Recommend restrictions to salmon consumption',0,'',2,'Op_en1901','Net health effects due to the consumption of salmon','avoided cases/a',1,1901,1,183, 3,3,1,'Stricter limits for fish feed pollutants',0,'',3,'Op_en1901','Net health effects due to the consumption of salmon','avoided cases/a',1,1901,1,183, 4,4,1,'Restrictions to salmon consumption AND stricter fish feed limits',0,'',4,'Op_en1901','Net health effects due to the consumption of salmon','avoided cases/a',1,1901,1,183, 26,26,2,'All causes',0,'',26,'Op_en2693','Testvariable','kg',1,2693,1,804, 197,197,6,'>= 5 km',0,'',197,'Ppmconc_bustraffic','PM2.5 concentration from bus traffic in Helsinki in 2020','ug/m3',1,0,0,95, 196,196,6,'< 5 km',0,'',196,'Ppmconc_bustraffic','PM2.5 concentration from bus traffic in Helsinki in 2020','ug/m3',1,0,0,95, 8,8,3,'2020',0,'',8,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 7,7,3,'1997',0,'',7,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 10,10,2,'Cardiopulmonary',0,'',10,'Op_en2693','Testvariable','kg',1,2693,1,804, 11,11,2,'Lung cancer',0,'',11,'Op_en2693','Testvariable','kg',1,2693,1,804, 12,12,2,'All others',0,'',12,'Op_en2693','Testvariable','kg',1,2693,1,804, 27,27,5,'Downtown',0,'',27,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 28,28,5,'Centre',0,'',28,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 29,29,5,'Suburb',0,'',29,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 30,30,5,'Länsi-Espoo',0,'',30,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 31,31,5,'Pohjois-Espoo',0,'',31,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 32,32,5,'Etelä-Espoo',0,'',32,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 33,33,5,'Keski-Espoo',0,'',33,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 34,34,5,'Länsi-Vantaa',0,'',34,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 35,35,5,'Keski-Vantaa',0,'',35,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 36,36,5,'Pohjois-Vantaa',0,'',36,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 37,37,5,'Itä-Vantaa',0,'',37,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 38,38,5,'Kanta-Helsinki',0,'',38,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 39,39,5,'Länsi-Helsinki',0,'',39,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 40,40,5,'Vanha-Helsinki',0,'',40,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 41,41,5,'Konalanseutu',0,'',41,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 42,42,5,'Pakilanseutu',0,'',42,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 43,43,5,'Malminseutu',0,'',43,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 44,44,5,'Itä-Helsinki',0,'',44,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 45,45,5,'1001',0,'',45,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 46,46,5,'1002',0,'',46,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 47,47,5,'1003',0,'',47,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 48,48,5,'1004',0,'',48,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 49,49,5,'1005',0,'',49,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 50,50,5,'1006',0,'',50,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 51,51,5,'1007',0,'',51,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 52,52,5,'1008',0,'',52,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 53,53,5,'1009',0,'',53,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 54,54,5,'1010',0,'',54,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 55,55,5,'1011',0,'',55,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 56,56,5,'1012',0,'',56,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 57,57,5,'1013',0,'',57,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 58,58,5,'1014',0,'',58,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 59,59,5,'1015',0,'',59,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 60,60,5,'1016',0,'',60,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 61,61,5,'1017',0,'',61,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 62,62,5,'1018',0,'',62,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 63,63,5,'1019',0,'',63,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 64,64,5,'1020',0,'',64,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 65,65,5,'1021',0,'',65,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 66,66,5,'1022',0,'',66,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 67,67,5,'1023',0,'',67,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 68,68,5,'1024',0,'',68,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 69,69,5,'1025',0,'',69,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 70,70,5,'1026',0,'',70,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 71,71,5,'1027',0,'',71,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 72,72,5,'1028',0,'',72,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 73,73,5,'1029',0,'',73,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 74,74,5,'1030',0,'',74,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 75,75,5,'1031',0,'',75,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 76,76,5,'1032',0,'',76,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 77,77,5,'1033',0,'',77,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 78,78,5,'1034',0,'',78,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 79,79,5,'1035',0,'',79,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 80,80,5,'1036',0,'',80,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 81,81,5,'1037',0,'',81,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 82,82,5,'1038',0,'',82,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 83,83,5,'1039',0,'',83,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 84,84,5,'1040',0,'',84,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 85,85,5,'1041',0,'',85,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 86,86,5,'1042',0,'',86,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 87,87,5,'1043',0,'',87,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 88,88,5,'1044',0,'',88,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 89,89,5,'1045',0,'',89,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 90,90,5,'1046',0,'',90,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 91,91,5,'1047',0,'',91,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 92,92,5,'1048',0,'',92,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 93,93,5,'1049',0,'',93,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 94,94,5,'1050',0,'',94,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 95,95,5,'1051',0,'',95,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 96,96,5,'1052',0,'',96,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 97,97,5,'1053',0,'',97,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 98,98,5,'1054',0,'',98,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 99,99,5,'1055',0,'',99,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 100,100,5,'1056',0,'',100,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 101,101,5,'1057',0,'',101,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 102,102,5,'1058',0,'',102,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 103,103,5,'1059',0,'',103,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 104,104,5,'1060',0,'',104,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 105,105,5,'1061',0,'',105,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 106,106,5,'1062',0,'',106,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 107,107,5,'1063',0,'',107,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 108,108,5,'1064',0,'',108,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 109,109,5,'1065',0,'',109,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 110,110,5,'1066',0,'',110,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 111,111,5,'1067',0,'',111,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 112,112,5,'1068',0,'',112,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 113,113,5,'1069',0,'',113,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 114,114,5,'1070',0,'',114,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 115,115,5,'1071',0,'',115,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 116,116,5,'1072',0,'',116,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 117,117,5,'1073',0,'',117,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 118,118,5,'1074',0,'',118,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 119,119,5,'1075',0,'',119,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 120,120,5,'1076',0,'',120,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 121,121,5,'1077',0,'',121,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 122,122,5,'1078',0,'',122,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 123,123,5,'1079',0,'',123,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 124,124,5,'1080',0,'',124,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 125,125,5,'1081',0,'',125,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 126,126,5,'1082',0,'',126,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 127,127,5,'1083',0,'',127,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 128,128,5,'1084',0,'',128,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 129,129,5,'1085',0,'',129,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 130,130,5,'1086',0,'',130,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 131,131,5,'1087',0,'',131,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 132,132,5,'1088',0,'',132,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 133,133,5,'1089',0,'',133,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 134,134,5,'1090',0,'',134,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 135,135,5,'1091',0,'',135,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 136,136,5,'1092',0,'',136,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 137,137,5,'1093',0,'',137,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 138,138,5,'1094',0,'',138,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 139,139,5,'1095',0,'',139,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 140,140,5,'1096',0,'',140,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 141,141,5,'1097',0,'',141,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 142,142,5,'1098',0,'',142,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 143,143,5,'1099',0,'',143,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 144,144,5,'1100',0,'',144,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 145,145,5,'1101',0,'',145,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 146,146,5,'1102',0,'',146,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 147,147,5,'1103',0,'',147,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 148,148,5,'1104',0,'',148,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 149,149,5,'1105',0,'',149,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 150,150,5,'1106',0,'',150,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 151,151,5,'1107',0,'',151,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 152,152,5,'1108',0,'',152,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 153,153,5,'1109',0,'',153,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 154,154,5,'1110',0,'',154,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 155,155,5,'1111',0,'',155,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 156,156,5,'1112',0,'',156,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 157,157,5,'1113',0,'',157,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 158,158,5,'1114',0,'',158,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 159,159,5,'1115',0,'',159,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 160,160,5,'1116',0,'',160,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 161,161,5,'1117',0,'',161,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 162,162,5,'1118',0,'',162,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 163,163,5,'1119',0,'',163,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 164,164,5,'1120',0,'',164,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 165,165,5,'1121',0,'',165,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 166,166,5,'1122',0,'',166,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 167,167,5,'1123',0,'',167,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 168,168,5,'1124',0,'',168,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 169,169,5,'1125',0,'',169,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 170,170,5,'1126',0,'',170,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 171,171,5,'1127',0,'',171,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 172,172,5,'1128',0,'',172,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 173,173,5,'1129',0,'',173,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 174,174,5,'1130',0,'',174,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 175,175,35,'2000',0,'',175,'Time','Time','s or date',2,2497,1,0, 176,176,3,'2001',0,'',176,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 177,177,3,'2002',0,'',177,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 178,178,3,'2003',0,'',178,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 179,179,3,'2004',0,'',179,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 180,180,3,'2005',0,'',180,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 181,181,3,'2006',0,'',181,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 182,182,3,'2007',0,'',182,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 183,183,3,'2008',0,'',183,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 184,184,3,'2009',0,'',184,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 185,185,3,'2010',0,'',185,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 186,186,3,'2011',0,'',186,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 187,187,3,'2012',0,'',187,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 188,188,3,'2013',0,'',188,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 189,189,3,'2014',0,'',189,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 190,190,3,'2015',0,'',190,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 191,191,3,'2016',0,'',191,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 192,192,3,'2017',0,'',192,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 193,193,3,'2018',0,'',193,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 194,194,3,'2019',0,'',194,'Op_en2201','The mortality due to PM 2.5 from buses','premature deaths',1,2201,1,95, 418,418,1,'BAU3',0,'',418,'Op_en1901','Net health effects due to the consumption of salmon','avoided cases/a',1,1901,1,183, 198,198,8,' 6.00-20.00',0,'',198,'Comptraf_scenoutput','Composite traffic v.1 scenario outputs','various',1,0,0,0, 199,199,8,'20.00-24.00',0,'',199,'Comptraf_scenoutput','Composite traffic v.1 scenario outputs','various',1,0,0,0, 200,200,8,' 0.00- 6.00',0,'',200,'Comptraf_scenoutput','Composite traffic v.1 scenario outputs','various',1,0,0,0, 364,364,7,'Trips',0,'',364,'Op_en2202','Concentration-response to PM2.5','m3/ug',1,2202,1,95, 365,365,7,'Trips by vehicle',0,'',365,'Op_en2202','Concentration-response to PM2.5','m3/ug',1,2202,1,95, 366,366,7,'Vehicle km',0,'',366,'Op_en2202','Concentration-response to PM2.5','m3/ug',1,2202,1,95, 367,367,7,'Parking lot',0,'',367,'Op_en2202','Concentration-response to PM2.5','m3/ug',1,2202,1,95, 368,368,7,'Link intensity',0,'',368,'Op_en2202','Concentration-response to PM2.5','m3/ug',1,2202,1,95, 369,369,7,'Vehicles',0,'',369,'Op_en2202','Concentration-response to PM2.5','m3/ug',1,2202,1,95, 370,370,7,'Waiting',0,'',370,'Op_en2202','Concentration-response to PM2.5','m3/ug',1,2202,1,95, 371,371,11,'Bus no change',0,'',371,'Fig_5b_subsidies','Subsidies needed to obtain the composite fraction objective','e/day',1,0,0,110, 372,372,11,'Bus one change',0,'',372,'Fig_5b_subsidies','Subsidies needed to obtain the composite fraction objective','e/day',1,0,0,110, 373,373,11,'Cab no change',0,'',373,'Fig_5b_subsidies','Subsidies needed to obtain the composite fraction objective','e/day',1,0,0,110, 374,374,11,'Cab one change',0,'',374,'Fig_5b_subsidies','Subsidies needed to obtain the composite fraction objective','e/day',1,0,0,110, 375,375,11,'Cab non-full',0,'',375,'Fig_5b_subsidies','Subsidies needed to obtain the composite fraction objective','e/day',1,0,0,110, 376,376,11,'Car',0,'',376,'Fig_5b_subsidies','Subsidies needed to obtain the composite fraction objective','e/day',1,0,0,110, 377,377,11,'No-change',0,'',377,'Fig_5b_subsidies','Subsidies needed to obtain the composite fraction objective','e/day',1,0,0,110, 378,378,12,'Passenger',0,'',378,'Fig_5c_expanding','Societal costs at different levels of guarantee','e/day',1,0,0,110, 379,379,12,'Society',0,'',379,'Fig_5c_expanding','Societal costs at different levels of guarantee','e/day',1,0,0,110, 380,380,13,'Car',0,'',380,'Bw1','Human body weight in Harjavalta','kg',1,2475,1,102, 381,381,13,'Composite',0,'',381,'Bw1','Human body weight in Harjavalta','kg',1,2475,1,102, 382,382,14,'Vehicle',0,'',382,'Testvariable2','Another variable for testing','kg',1,0,0,0, 383,383,14,'Driver',0,'',383,'Testvariable2','Another variable for testing','kg',1,0,0,0, 384,384,14,'Driving',0,'',384,'Testvariable2','Another variable for testing','kg',1,0,0,0, 385,385,14,'Parking',0,'',385,'Testvariable2','Another variable for testing','kg',1,0,0,0, 386,386,14,'Parking land',0,'',386,'Testvariable2','Another variable for testing','kg',1,0,0,0, 387,387,14,'Emissions',0,'',387,'Testvariable2','Another variable for testing','kg',1,0,0,0, 388,388,14,'Time',0,'',388,'Testvariable2','Another variable for testing','kg',1,0,0,0, 389,389,14,'Accidents',0,'',389,'Testvariable2','Another variable for testing','kg',1,0,0,0, 390,390,14,'Ticket',0,'',390,'Testvariable2','Another variable for testing','kg',1,0,0,0, 391,391,15,'0',0,'',391,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 392,392,15,'0.02',0,'',392,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 393,393,15,'0.05',0,'',393,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 394,394,15,'0.1',0,'',394,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 395,395,15,'0.25',0,'',395,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 396,396,15,'0.4',0,'',396,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 397,397,15,'0.45',0,'',397,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 398,398,15,'0.5',0,'',398,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 399,399,15,'0.55',0,'',399,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 400,400,15,'0.65',0,'',400,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 401,401,15,'0.75',0,'',401,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 402,402,15,'0.9',0,'',402,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 403,403,15,'1',0,'',403,'Testvariable3','Testvariable 3: Another variable for testing','kg',1,0,0,101, 404,404,16,'18-65',0,'',404,'Op_en1900','Pollutant health risk due to the consumption of salmon','avoided cases/a',1,1900,1,183, 405,405,16,'3',0,'',405,'Op_en1900','Pollutant health risk due to the consumption of salmon','avoided cases/a',1,1900,1,183, 406,406,17,'Harjavalta',0,'',406,'Op_en1903','Persistent pollutant concentrations in salmon','µg/kg',1,1903,1,183, 407,407,36,'Dieldrin',0,'',407,'Pollutant','Pollutant','-',2,2493,1,0, 408,408,36,'Toxaphene',0,'',408,'Pollutant','Pollutant','-',2,2493,1,0, 409,409,36,'Dioxin',0,'',409,'Pollutant','Pollutant','-',2,2493,1,0, 410,410,36,'PCB',0,'',410,'Pollutant','Pollutant','-',2,2493,1,0, 411,411,42,'Farmed salmon',0,'',411,'Environ_compartment','Environmental compartment','-',2,2490,1,0, 412,412,42,'Wild salmon',0,'',412,'Environ_compartment','Environmental compartment','-',2,2490,1,0, 413,413,42,'Market salmon',0,'',413,'Environ_compartment','Environmental compartment','-',2,2490,1,0, 414,414,33,'BAU',0,'',414,'Decision','Possible range of decisions for a single decision-maker','-',2,2496,1,0, 415,415,33,'More actions',0,'',415,'Decision','Possible range of decisions for a single decision-maker','-',2,2496,1,0, 416,416,33,'BAU2',0,'',416,'Decision','Possible range of decisions for a single decision-maker','-',2,2496,1,0, 417,417,33,'Restrict farmed salmon use',0,'',417,'Decision','Possible range of decisions for a single decision-maker','-',2,2496,1,0, 419,419,1,'More actions',0,'',419,'Op_en1901','Net health effects due to the consumption of salmon','avoided cases/a',1,1901,1,183, 421,421,1,'Restrict farmed salmon use2',0,'',421,'Op_en1901','Net health effects due to the consumption of salmon','avoided cases/a',1,1901,1,183, 422,422,34,'Cardiovascular',0,'',422,'Health_impact','Health impact','',2,2495,1,0, 423,423,10,'Home indoor',0,'Abbreviation in the Concentration database: I',423,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 424,424,10,'(Home) outdoor',0,'Abbreviation in the Concentration database: O',424,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 425,425,10,'(Personal) Work',0,'Abbreviation in the Concentration database: W',425,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 426,426,10,'Personal',0,'Abbreviation in the Concentration database: P',426,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 427,427,10,'Drinking water',0,'Abbreviation in the Concentration database: DW',427,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 428,428,10,'Indoor dust',0,'Abbreviation in the Concentration database: ID',428,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 429,429,10,'Human',0,'Abbreviation in the Concentration database: H',429,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 430,430,10,'Soil',0,'Abbreviation in the Concentration database: S',430,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 431,431,10,'Beverage',0,'Abbreviation in the Concentration database: B',431,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 432,432,10,'Food',0,'Abbreviation in the Concentration database: F',432,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 433,433,10,'In-Vehicle',0,'Abbreviation in the Concentration database: IV',433,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 434,434,10,'School',0,'Abbreviation in the Concentration database: SC',434,'Fig_5a_societal_cost','Societal cost','e/day',1,0,0,110, 435,435,5,'Athens',0,'Country: Greece. Abbreviation in the Concentration Database: A',435,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 436,436,5,'Antwerp',0,'Country: Belgium. Abbreviation in the Concentration Database: ANT',436,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 437,437,5,'Antioch-Pittsburg',0,'Country: USA. Abbreviation in the Concentration Database: AP',437,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 438,438,5,'Antioch-Pittsburg A-P',0,'Country: USA. Abbreviation in the Concentration Database: A-P',438,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 439,439,5,'Arizona',0,'Country: USA. Abbreviation in the Concentration Database: AZ',439,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 440,440,5,'Basel',0,'Country: Germany. Abbreviation in the Concentration Database: B',440,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 441,441,5,'Baltimore',0,'Country: USA. Abbreviation in the Concentration Database: BAL',441,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 442,442,5,'Bayonne',0,'Country: USA. Abbreviation in the Concentration Database: BAY',442,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 443,443,5,'Bayonne-Ellizabeth',0,'Country: USA. Abbreviation in the Concentration Database: BE',443,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 444,444,5,'Copenhagen',0,'Country: Denmark. Abbreviation in the Concentration Database: C',444,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 445,445,5,'California',0,'Country: USA. Abbreviation in the Concentration Database: CA',445,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 446,446,5,'Columbus',0,'Country: USA. Abbreviation in the Concentration Database: CO',446,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 447,447,5,'Daegu',0,'Country: South Korea. Abbreviation in the Concentration Database: D',447,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 448,448,5,'Devils Lake',0,'Country: USA. Abbreviation in the Concentration Database: DLA',448,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 449,449,5,'Dublin',0,'Country: Ireland. Abbreviation in the Concentration Database: DU',449,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 450,450,5,'Elizabeth',0,'Country: USA. Abbreviation in the Concentration Database: ELI',450,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 451,451,5,'EPA Region 5.',0,'Country: USA. Abbreviation in the Concentration Database: EPA5',451,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 452,452,5,'Flanders',0,'Country: Belgium. Abbreviation in the Concentration Database: FLA',452,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 453,453,5,'Florence',0,'Country: Italy. Abbreviation in the Concentration Database: FL',453,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 454,454,5,'Grenoble',0,'Country: France. Abbreviation in the Concentration Database: G',454,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 455,455,5,'Germany',0,'Country: Germany. Abbreviation in the Concentration Database: GE',455,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 456,456,5,'Genoa',0,'Country: Italy. Abbreviation in the Concentration Database: GEN',456,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 457,457,5,'Greensboro GNC',0,'Country: USA. Abbreviation in the Concentration Database: GNC',457,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 458,458,5,'Greensboro',0,'Country: USA. Abbreviation in the Concentration Database: GRB',458,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 460,460,5,'Helsinki',0,'Country: Finland. Abbreviation in the Concentration Database: H',460,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 461,461,5,'Hannover',0,'Country: Germany. Abbreviation in the Concentration Database: HA',461,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 462,462,5,'Ile de France',0,'Country: France. Abbreviation in the Concentration Database: IDF',462,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 463,463,5,'Los Angeles',0,'Country: USA. Abbreviation in the Concentration Database: LA',463,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 464,464,5,'Milan',0,'Country: Italy. Abbreviation in the Concentration Database: M',464,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 465,465,5,'Minneapolis',0,'Country: USA. Abbreviation in the Concentration Database: MP',465,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 466,466,5,'Minnesota',0,'Country: USA. Abbreviation in the Concentration Database: MS',466,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 467,467,5,'Murcia',0,'Country: Spain. Abbreviation in the Concentration Database: MU',467,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 468,468,5,'Mexico City',0,'Country: Mexico. Abbreviation in the Concentration Database: MXC',468,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 469,469,5,'Oxford',0,'Country: England. Abbreviation in the Concentration Database: O',469,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 470,470,5,'Prague',0,'Country: Czech. Abbreviation in the Concentration Database: P',470,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 471,471,5,'Padua',0,'Country: Italy. Abbreviation in the Concentration Database: PA',471,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 472,472,5,'Puebla',0,'Country: Mexico. Abbreviation in the Concentration Database: PB',472,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 473,473,5,'Rouen',0,'Country: France. Abbreviation in the Concentration Database: R',473,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 475,475,5,'Strasbourg',0,'Country: France. Abbreviation in the Concentration Database: STR',475,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 476,476,5,'Umbria region',0,'Country: Italy. Abbreviation in the Concentration Database: UMB',476,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 477,477,5,'United States',0,'Country: USA. Abbreviation in the Concentration Database: USA',477,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 478,478,5,'Valdez',0,'Country: USA. Abbreviation in the Concentration Database: VAL',478,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 479,479,5,'Woodland',0,'Country: USA. Abbreviation in the Concentration Database: WDL',479,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 480,480,4,'66-25-1',0,'hexanal',480,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 481,481,4,'71-36-3',0,'1-butanol',481,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 482,482,4,'71-43-2',0,'benzene',482,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 483,483,4,'78-83-1',0,'2-methyl-1-propanol',483,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 484,484,4,'79-00-5',0,'1,1,2-trichloroethane',484,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 485,485,4,'79-01-6',0,'trichloroethene',485,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 486,486,4,'80-56-8',0,'alfa-pinene',486,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 487,487,4,'91-20-3',0,'naphtalene',487,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 488,488,4,'95-47-6',0,'o-xylene',488,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 489,489,4,'95-63-6',0,'trimethylbenzenes',489,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 490,490,4,'100-41-4',0,'ethylbenzene',490,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 491,491,4,'100-42-5',0,'styrene',491,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 492,492,4,'100-52-7',0,'benzaldehyde',492,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 493,493,4,'103-65-1',0,'propylbenzene',493,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 494,494,4,'104-76-7',0,'2-ethylhexanol',494,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 495,495,4,'108-38-3',0,'m(&p)-xylene',495,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 496,496,4,'108-88-3',0,'toluene',496,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 497,497,4,'108-95-2',0,'phenol',497,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 498,498,4,'110-54-3',0,'hexane',498,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 499,499,4,'110-82-7',0,'cyclohexane',499,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 500,500,4,'111-76-2',0,'ethanol, 2-butoxy-',500,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 501,501,4,'111-84-2',0,'nonane',501,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 502,502,4,'111-87-5',0,'1-octanol',502,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 503,503,4,'124-13-0',0,'octanal',503,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 504,504,4,'124-18-5',0,'decane',504,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 505,505,4,'127-18-4',0,'tetrachloroethene',505,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 506,506,4,'138-86-3',0,'d-limonene',506,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 507,507,4,'872-50-4',0,'2-pyrrolidinone, 1-methyl-',507,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 508,508,4,'1120-21-4',0,'undecane',508,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 509,509,4,'13466-78-9',0,'3-caren',509,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 510,510,4,'TVOC',0,'Toluene based total VOC',510,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 511,511,4,'67-66-3',0,'chloroform',511,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 512,512,4,'106-46-7',0,'1,4-dichlorobenzene',512,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 514,514,4,'56-23-5',0,'carbon tetrachloride',514,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 515,515,4,'75-09-2',0,'methylene chloride',515,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 517,517,4,'127-91-3',0,'b-pinene',517,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 520,520,4,'142-82-5',0,'n-heptane',520,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 521,521,4,'111-65-9',0,'n-octane',521,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 525,525,4,'112-40-3',0,'n-dodecane',525,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 526,526,4,'629-50-5',0,'n-tridecane',526,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 527,527,4,'629-59-4',0,'n-tetradecane',527,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 528,528,4,'629-62-9',0,'n-pentadecane',528,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 529,529,4,'107-83-5',0,'2-methylpentane',529,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 530,530,4,'96-14-0',0,'3-methylpentane',530,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 531,531,4,'565-59-3',0,'2,3-dimethylpentane',531,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 532,532,4,'591-76-4',0,'2-methylhexane',532,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 533,533,4,'589-34-4',0,'3-methylhexane',533,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 534,534,4,'592-27-8',0,'2-methylheptane',534,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 535,535,4,'589-81-1',0,'3-methylheptane',535,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 536,536,4,'96-37-7',0,'methylcyclopentane',536,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 537,537,4,'108-87-2',0,'methylcyclohexane',537,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 538,538,4,'526-73-8',0,'1,2,3-trimethylbenzene',538,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 540,540,4,'108-67-8',0,'1,3,5 trimethylbenzene',540,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 541,541,4,'4994-16-5',0,'4-phenylcyclohexene',541,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 542,542,4,'1,1,1-trichloroethane',0,'1,1,1-trichloroethane',542,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 545,545,4,'141-78-6',0,'ethylacetate',545,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 546,546,4,'123-86-4',0,'n-butylacetate',546,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 547,547,4,'78-93-3',0,'methyl ethyl ketone',547,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 548,548,4,'106-35-4',0,'3-heptatone',548,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 549,549,4,'93-58-3',0,'methyl benzoate',549,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 552,552,4,'123-51-3',0,'iso-amyl alcohol^a',552,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 554,554,4,'67-63-0',0,'2-propanol^a',554,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 555,555,4,'1634-04-4',0,'t-butyl methylether',555,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 556,556,4,'7439-92-1',0,'lead',556,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 557,557,4,'7440-38-2',0,'arsenic',557,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 558,558,4,'7440-43-9',0,'cadmium',558,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 559,559,4,'7440-39-3',0,'barium',559,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 560,560,4,'7440-47-3',0,'chrome',560,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 561,561,4,'7440-50-8',0,'copper',561,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 562,562,4,'7439-96-5',0,'manganese',562,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 563,563,4,'7440-02-0',0,'nickel',563,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 564,564,4,'7782-49-2',0,'selenium',564,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 565,565,4,'7440-62-2',0,'vanadium',565,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 566,566,4,'7440-66-6',0,'zinc',566,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 567,567,4,'71-55-6',0,'1,1,1-trichloroethane',567,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 568,568,4,'7439-97-6',0,'mercury',568,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 570,570,4,'60-27-5',0,'creatinine',570,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 571,571,4,'7429-90-5',0,'aluminium',571,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 572,572,4,'7440-70-2',0,'calcium',572,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 573,573,4,'7439-95-4',0,'magnesium',573,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 574,574,4,'7723-14-0',0,'phosphorus',574,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 575,575,4,'7440-24-6',0,'strontium',575,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 576,576,4,'7439-89-6',0,'iron',576,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 577,577,4,'7440-09-7',0,'potassium',577,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 578,578,4,'7440-23-5',0,'sodium',578,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 579,579,4,'58-89-9',0,'lindane',579,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 580,580,4,'52645-53-1',0,'permenthrine',580,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 581,581,4,'107-13-1',0,'acrylonitrile',581,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 582,582,4,'79-06-1',0,'acrylamide',582,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 589,589,4,'611-14-3',0,'1-ethyl 2methyl benzene',589,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 592,592,4,'109-66-0',0,'n-pentane',592,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 593,593,4,'7785-26-4',0,'alpha-pinene',593,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 594,594,4,'5989-27-5',0,'d-limonene',594,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 596,596,4,'106-99-0',0,'butadiene',596,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 597,597,4,'74-84-0',0,'ethane',597,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 598,598,4,'74-85-1',0,'ethylene',598,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 599,599,4,'74-86-2',0,'acetylene',599,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 600,600,4,'107-06-2',0,'1,2-dichloroethane',600,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 601,601,4,'106-42-3',0,'p-xylene',601,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 603,603,4,'98-82-8',0,'isopropylbenzene',603,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 604,604,4,'110-86-1',0,'pyridine',604,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 606,606,4,'109-06-8',0,'2-picoline',606,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 608,608,4,'108-99-6',0,'3-picoline',608,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 609,609,4,'108-89-4',0,'4-picoline',609,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 610,610,4,'104-51-8',0,'n-butylbenzene',610,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 611,611,4,'536-78-7',0,'3-ethylpyridine',611,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 613,613,4,'25551-13-7',0,'trimethylbenzene',613,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 618,618,4,'1336-36-3',0,'PCBs',618,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 619,619,4,'3547-04-4',0,'DDE',619,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 620,620,4,'118-74-1',0,'HCB',620,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 621,621,4,'5315-79-7',0,'1-hydroxypyrene',621,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 623,623,4,'1330-20-7',0,'xylenes',623,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 624,624,4,'37210-16-5',0,'CO2',624,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 625,625,4,'630-08-0',0,'CO',625,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 626,626,4,'54-11-5',0,'nicotine',626,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 628,628,4,'3588-17-8',0,'trans,trans-Muconic acid',628,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 629,629,4,'50-32-8',0,'benzo(a)pyrene',629,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 631,631,4,'590-86-3',0,'isovaleraldehyde',631,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 632,632,4,'123-38-6',0,'propionaldehyde',632,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 633,633,4,'123-72-8',0,'n-butyraldehyde',633,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 634,634,4,'75-07-0',0,'acetaldehyde',634,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 636,636,4,'50-00-0',0,'formaldehyde',636,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 637,637,4,'110-62-3',0,'valeraldehyde',637,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 638,638,4,'4170-30-3',0,'crotonaldehyde',638,'Op_en2205','Bus engine technology','see wiki page',1,2205,1,95, 639,639,22,'n',0,'Number of observations',639,'Op_en1910','Total mortality in the Western Europe','cases/a',1,1910,1,183, 640,640,22,'n_lt_LOQ',0,'Number of observations below level of quantitation',640,'Op_en1910','Total mortality in the Western Europe','cases/a',1,1910,1,183, 641,641,22,'F0.10',0,'Fractile 0.1',641,'Op_en1910','Total mortality in the Western Europe','cases/a',1,1910,1,183, 642,642,22,'F0.50',0,'Fractile 0.5',642,'Op_en1910','Total mortality in the Western Europe','cases/a',1,1910,1,183, 643,643,22,'F0.90',0,'Fractile 0.9',643,'Op_en1910','Total mortality in the Western Europe','cases/a',1,1910,1,183, 644,644,22,'F0.95',0,'Fractile 0.95',644,'Op_en1910','Total mortality in the Western Europe','cases/a',1,1910,1,183, 645,645,22,'Mean',0,'Arithmetic mean',645,'Op_en1910','Total mortality in the Western Europe','cases/a',1,1910,1,183, 646,646,22,'GeoMean',0,'Geometric mean',646,'Op_en1910','Total mortality in the Western Europe','cases/a',1,1910,1,183, 647,647,5,'ang',0,'Anglian Water ',647,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 648,648,5,'bou',0,'Bristol Water ',648,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 649,649,5,'brw',0,'Bournemouth & West hants ',649,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 650,650,5,'caw',0,'Cambridge Water ',650,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 651,651,5,'cho',0,'Cholderton Water ',651,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 652,652,5,'dcc',0,'Dee Valley Water ',652,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 653,653,5,'eas',0,'Welsh Water ',653,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 654,654,5,'ess',0,'Essex and Suffolk Water ',654,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 655,655,5,'fol',0,'Folkestone & Dover Water ',655,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 656,656,5,'har',0,'Hartlepool Water ',656,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 657,657,5,'mik',0,'Mid Kent Water ',657,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 658,658,5,'nor',0,'Northumbrian Water ',658,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 659,659,5,'nww',0,'Portsmouth Water ',659,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 660,660,5,'por',0,'Sutton & East Surrey Water ',660,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 661,661,5,'sea',0,'South East Water ',661,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 662,662,5,'sev',0,'Southern Water ',662,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 663,663,5,'sos',0,'South Staffordshire Water ',663,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 664,664,5,'sou',0,'Severn Trent Water ',664,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 665,665,5,'sww',0,'South West Water ',665,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 666,666,5,'teh',0,'Tendring Hundred Water ',666,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 667,667,5,'tha',0,'Thames Water ',667,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 668,668,5,'thr',0,'Three Valleys Water ',668,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 669,669,5,'wes',0,'United Utilties (North West Water) ',669,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 670,670,5,'wrx',0,'Wessex Water ',670,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 671,671,5,'yor',0,'Yorkshire Water',671,'Op_en2204','Primary PM2.5 emissions from bus traffic in Helsinki Metropolitan Area','kg/a',1,2204,1,95, 672,672,25,'BAU',0,'0.00000000000000',672,'Op_en1898','Recommendation for consumption of farmed salmon','-',1,1898,1,183, 673,673,25,'Restrict farmed salmon use',0,'0.00000000000000',673,'Op_en1898','Recommendation for consumption of farmed salmon','-',1,1898,1,183, 674,674,26,'BAU',0,'0.00000000000000',674,'Op_en1899','Pollutant concentration limits for fish feed','-',1,1899,1,183, 675,675,26,'More actions',0,'0.00000000000000',675,'Op_en1899','Pollutant concentration limits for fish feed','-',1,1899,1,183, 676,676,130,'Dieldrin',0,'0.00000000000000',676,'Op_en2705','Pollutant','-',6,2705,1,0, 677,677,130,'Toxaphene',0,'0.00000000000000',677,'Op_en2705','Pollutant','-',6,2705,1,0, 678,678,130,'Dioxin',0,'0.00000000000000',678,'Op_en2705','Pollutant','-',6,2705,1,0, 679,679,130,'PCB',0,'0.00000000000000',679,'Op_en2705','Pollutant','-',6,2705,1,0, 680,680,131,'Farmed salmon',0,'0.00000000000000',680,'Op_en2706','Salmon type','-',6,2706,1,0, 681,681,131,'Wild salmon',0,'0.00000000000000',681,'Op_en2706','Salmon type','-',6,2706,1,0, 682,682,131,'Market salmon',0,'0.00000000000000',682,'Op_en2706','Salmon type','-',6,2706,1,0, 685,685,133,'Cardiovascular',0,'0.00000000000000',685,'Op_en2707','Cause of death3','ICD-10',6,2707,1,0, 688,688,135,'2000',0,'0.00000000000000',688,'Op_en2708','Year3','year',6,2708,1,0, 689,689,185,'Male',0,'0.00000000000000',689,'Op_en2780','Sex','-',6,2780,1,0, 690,690,185,'Female',0,'0.00000000000000',690,'Op_en2780','Sex','-',6,2780,1,0, 691,691,186,'All causes',0,'AAA',691,'Op_en2779','Diagnosis1','-',6,2779,1,0, 692,692,186,'Infectious and parasitic diseases',0,'A00-B99',692,'Op_en2779','Diagnosis1','-',6,2779,1,0, 693,693,186,'Typhoid and paratyphoid fever',0,'A01',693,'Op_en2779','Diagnosis1','-',6,2779,1,0, 694,694,186,'Other intestinal infectious diseases',0,'A00, A02-A09',694,'Op_en2779','Diagnosis1','-',6,2779,1,0, 695,695,186,'Tuberculosis of respiratory system',0,'A15-A16',695,'Op_en2779','Diagnosis1','-',6,2779,1,0, 696,696,186,'Tuberculosis, other forms',0,'A17-A19',696,'Op_en2779','Diagnosis1','-',6,2779,1,0, 697,697,186,'Whooping cough',0,'A37',697,'Op_en2779','Diagnosis1','-',6,2779,1,0, 698,698,186,'Meningococcal infection',0,'A39',698,'Op_en2779','Diagnosis1','-',6,2779,1,0, 699,699,186,'Tetanus',0,'A35',699,'Op_en2779','Diagnosis1','-',6,2779,1,0, 700,700,186,'Septicaemia',0,'A40-A41',700,'Op_en2779','Diagnosis1','-',6,2779,1,0, 701,701,186,'Other bacterial diseases',0,'A20-A32, A36, A38, A42-49',701,'Op_en2779','Diagnosis1','-',6,2779,1,0, 702,702,186,'Measles',0,'B05',702,'Op_en2779','Diagnosis1','-',6,2779,1,0, 703,703,186,'HIV disease',0,'B20-B24',703,'Op_en2779','Diagnosis1','-',6,2779,1,0, 704,704,186,'Other viral diseases',0,'A70-A74, A80-B34, B05, B20-B24',704,'Op_en2779','Diagnosis1','-',6,2779,1,0, 705,705,186,'Malaria',0,'B50-B54',705,'Op_en2779','Diagnosis1','-',6,2779,1,0, 706,706,186,'Other arthropod-borne diseases',0,'A75-A79, B55-B57, B60, B64',706,'Op_en2779','Diagnosis1','-',6,2779,1,0, 707,707,186,'Sexually transmitted diseases',0,'A50-A64',707,'Op_en2779','Diagnosis1','-',6,2779,1,0, 708,708,186,'Other infectious and parasitic diseases',0,'A65-A69, B35-B49, B58, B59, B65-B99',708,'Op_en2779','Diagnosis1','-',6,2779,1,0, 709,709,186,'Malignant neoplasms',0,'C00-C97',709,'Op_en2779','Diagnosis1','-',6,2779,1,0, 710,710,186,'Malignant neoplasm of lip, oral cavity and pharynx',0,'C00-C14',710,'Op_en2779','Diagnosis1','-',6,2779,1,0, 711,711,186,'Malignant neoplasm of oesophagus',0,'C15',711,'Op_en2779','Diagnosis1','-',6,2779,1,0, 712,712,186,'Malignant neoplasm of stomach',0,'C16',712,'Op_en2779','Diagnosis1','-',6,2779,1,0, 713,713,186,'Malignant neoplasm of colon',0,'C18',713,'Op_en2779','Diagnosis1','-',6,2779,1,0, 714,714,186,'Malignant neoplasm of rectum, rectosigmoid junction and anus',0,'C19-C21',714,'Op_en2779','Diagnosis1','-',6,2779,1,0, 715,715,186,'Malignant neoplasm of liver',0,'C22',715,'Op_en2779','Diagnosis1','-',6,2779,1,0, 716,716,186,'Malignant neoplasm of larynx',0,'C32',716,'Op_en2779','Diagnosis1','-',6,2779,1,0, 717,717,186,'Malignant neoplasm of trachea, bronchus and lung',0,'C33-C34',717,'Op_en2779','Diagnosis1','-',6,2779,1,0, 718,718,186,'Malignant neoplasm of breast',0,'C50',718,'Op_en2779','Diagnosis1','-',6,2779,1,0, 719,719,186,'Malignant neoplasm of cervix uteri',0,'C53',719,'Op_en2779','Diagnosis1','-',6,2779,1,0, 720,720,186,'Malignant neoplasm of uterus, other and unspecified',0,'C54-C55',720,'Op_en2779','Diagnosis1','-',6,2779,1,0, 721,721,186,'Malignant neoplasm of prostate',0,'C61',721,'Op_en2779','Diagnosis1','-',6,2779,1,0, 722,722,186,'Malignant neoplasm of bladder',0,'C67',722,'Op_en2779','Diagnosis1','-',6,2779,1,0, 723,723,186,'Malignant neoplasm of other sites',0,'C17, C23-C31, C37-C49, C51, C52, C56-C60, C62-C66, C68-C80, C97',723,'Op_en2779','Diagnosis1','-',6,2779,1,0, 724,724,186,'Leukaemia',0,'C91-C95',724,'Op_en2779','Diagnosis1','-',6,2779,1,0, 725,725,186,'Other malignant neoplasms of lymphoid and haematopoietic and related tissue',0,'C81-C90, C96',725,'Op_en2779','Diagnosis1','-',6,2779,1,0, 726,726,186,'Benign neoplasm, other and unspecified neoplasm',0,'D00-D48',726,'Op_en2779','Diagnosis1','-',6,2779,1,0, 727,727,186,'Diabetes mellitus',0,'E10-E14',727,'Op_en2779','Diagnosis1','-',6,2779,1,0, 728,728,186,'Other endocrine and metabolic diseases',0,'E00-E07, E15-E34, E65-E68, E70-E88',728,'Op_en2779','Diagnosis1','-',6,2779,1,0, 729,729,186,'Malnutrition',0,'E41-E46',729,'Op_en2779','Diagnosis1','-',6,2779,1,0, 730,730,186,'Other nutritional deficiencies',0,'E40, E50-E64',730,'Op_en2779','Diagnosis1','-',6,2779,1,0, 731,731,186,'Anaemias',0,'D50-D64',731,'Op_en2779','Diagnosis1','-',6,2779,1,0, 732,732,186,'Other diseases of blood and blood-forming organs',0,'D65-D89',732,'Op_en2779','Diagnosis1','-',6,2779,1,0, 733,733,186,'Mental disorders',0,'F01-F99',733,'Op_en2779','Diagnosis1','-',6,2779,1,0, 734,734,186,'Meningitis',0,'G00, G03',734,'Op_en2779','Diagnosis1','-',6,2779,1,0, 735,735,186,'Multiple sclerosis',0,'G35',735,'Op_en2779','Diagnosis1','-',6,2779,1,0, 736,736,186,'Epilepsy',0,'G40-G41',736,'Op_en2779','Diagnosis1','-',6,2779,1,0, 737,737,186,'Other diseases of the nervous system and sense organs',0,'G04-G31, G36-G37, G43-H95',737,'Op_en2779','Diagnosis1','-',6,2779,1,0, 738,738,186,'Diseases of the circulatory system',0,'I00-I99',738,'Op_en2779','Diagnosis1','-',6,2779,1,0, 739,739,186,'Acute rheumatic fever',0,'I00-I02',739,'Op_en2779','Diagnosis1','-',6,2779,1,0, 740,740,186,'Chronic rheumatic heart disease',0,'I05-I09',740,'Op_en2779','Diagnosis1','-',6,2779,1,0, 741,741,186,'Hypertensive disease',0,'I10-I13',741,'Op_en2779','Diagnosis1','-',6,2779,1,0, 742,742,186,'Acute myocardial infarction',0,'I21, I22',742,'Op_en2779','Diagnosis1','-',6,2779,1,0, 743,743,186,'Other ischaemic heart diseases',0,'I20, I24, I25',743,'Op_en2779','Diagnosis1','-',6,2779,1,0, 744,744,186,'Diseases of pulmonary circulation and other forms of heart disease',0,'I26-I51',744,'Op_en2779','Diagnosis1','-',6,2779,1,0, 745,745,186,'Cerebrovascular disease',0,'I60-I69',745,'Op_en2779','Diagnosis1','-',6,2779,1,0, 746,746,186,'Atherosclerosis',0,'I70',746,'Op_en2779','Diagnosis1','-',6,2779,1,0, 747,747,186,'Embolism, thrombosis and other diseases of arteries, arterioles and capillaries',0,'I71-I78',747,'Op_en2779','Diagnosis1','-',6,2779,1,0, 748,748,186,'Phlebitis, thrombophlebitis, venous embolism and thrombosis',0,'I80-I82',748,'Op_en2779','Diagnosis1','-',6,2779,1,0, 749,749,186,'Other diseases of the circulatory system',0,'I83-I99',749,'Op_en2779','Diagnosis1','-',6,2779,1,0, 750,750,186,'Acute upper respiratory infection',0,'J00-J06',750,'Op_en2779','Diagnosis1','-',6,2779,1,0, 751,751,186,'Acute bronchitis and bronchiolitis',0,'J20-J21',751,'Op_en2779','Diagnosis1','-',6,2779,1,0, 752,752,186,'Pneumonia',0,'J12-J18',752,'Op_en2779','Diagnosis1','-',6,2779,1,0, 753,753,186,'Influenza',0,'J10-J11',753,'Op_en2779','Diagnosis1','-',6,2779,1,0, 754,754,186,'Bronchitis, chronic and unspecified, emphysema and asthma',0,'J40-J46',754,'Op_en2779','Diagnosis1','-',6,2779,1,0, 755,755,186,'Other diseases of the respiratory system',0,'J22, J30-J39, J47-J98',755,'Op_en2779','Diagnosis1','-',6,2779,1,0, 756,756,186,'Ulcer of stomach and duodenum',0,'K25-K27',756,'Op_en2779','Diagnosis1','-',6,2779,1,0, 757,757,186,'Appendicitis',0,'K35-K38',757,'Op_en2779','Diagnosis1','-',6,2779,1,0, 758,758,186,'Hernia of abdominal cavity and intestinal obstruction',0,'K40-K46,K56',758,'Op_en2779','Diagnosis1','-',6,2779,1,0, 759,759,186,'Chronic liver disease and cirrhosis',0,'K70,K73-K74,K76',759,'Op_en2779','Diagnosis1','-',6,2779,1,0, 760,760,186,'Other diseases of the digestive system',0,'K00-K22, K28-K31, K50-K55, K57-K66, K71, K72, K75, K80-K92',760,'Op_en2779','Diagnosis1','-',6,2779,1,0, 761,761,186,'Nephritis, nephrotic syndrome and nephrosis',0,'N00-N07, N13-N19',761,'Op_en2779','Diagnosis1','-',6,2779,1,0, 762,762,186,'Infections of kidney',0,'N10-N12',762,'Op_en2779','Diagnosis1','-',6,2779,1,0, 763,763,186,'Hyperplasia of prostate',0,'N40',763,'Op_en2779','Diagnosis1','-',6,2779,1,0, 764,764,186,'Other diseases of the genitourinary system',0,'N20-N39, N41-N98',764,'Op_en2779','Diagnosis1','-',6,2779,1,0, 765,765,186,'Abortion',0,'O00-O07',765,'Op_en2779','Diagnosis1','-',6,2779,1,0, 766,766,186,'Haemorrhage of pregnancy and childbirth',0,'O20, O46, O67, O72',766,'Op_en2779','Diagnosis1','-',6,2779,1,0, 767,767,186,'Toxaemia of pregnancy',0,'O13-O16, O21',767,'Op_en2779','Diagnosis1','-',6,2779,1,0, 768,768,186,'Complications of the puerperium',0,'O85-O92, A34',768,'Op_en2779','Diagnosis1','-',6,2779,1,0, 769,769,186,'Other direct obstetric causes',0,'O10-O12, O22-O75, O95-O97',769,'Op_en2779','Diagnosis1','-',6,2779,1,0, 770,770,186,'Indirect obstetric causes',0,'O98-O99',770,'Op_en2779','Diagnosis1','-',6,2779,1,0, 771,771,186,'Diseases of skin and subcutaneous tissue',0,'L00-L98',771,'Op_en2779','Diagnosis1','-',6,2779,1,0, 772,772,186,'Diseases of the musculoskeletal system and connective tissue',0,'M00-M99',772,'Op_en2779','Diagnosis1','-',6,2779,1,0, 773,773,186,'Spina bifida and hydrocephalus',0,'Q03,Q05',773,'Op_en2779','Diagnosis1','-',6,2779,1,0, 774,774,186,'Congenital anomalies of the circulatory system',0,'Q20-Q28',774,'Op_en2779','Diagnosis1','-',6,2779,1,0, 775,775,186,'Other congenital anomalies',0,'Q00-Q02, Q04, Q06-Q18, Q30-Q99',775,'Op_en2779','Diagnosis1','-',6,2779,1,0, 776,776,186,'Birth trauma',0,'P10-P15',776,'Op_en2779','Diagnosis1','-',6,2779,1,0, 777,777,186,'Other conditions originating in the perinatal period',0,'P00-P08, P20-P96, A33',777,'Op_en2779','Diagnosis1','-',6,2779,1,0, 778,778,186,'Senility',0,'R54',778,'Op_en2779','Diagnosis1','-',6,2779,1,0, 779,779,186,'Signs, symptoms and other ill-defined conditions',0,'R00-R53, R55-R99',779,'Op_en2779','Diagnosis1','-',6,2779,1,0, 780,780,186,'Accidents and adverse effects',0,'V01-X59, Y40-Y86, Y88',780,'Op_en2779','Diagnosis1','-',6,2779,1,0, 781,781,186,'Motor vehicle traffic accidents',0,'V02-V04, V09, V12-V14, V19-V79, V86-V89',781,'Op_en2779','Diagnosis1','-',6,2779,1,0, 782,782,186,'Other transport accidents',0,'V01, V05-V06, V10, V11, V15-V18, V80-V85, V90-V99',782,'Op_en2779','Diagnosis1','-',6,2779,1,0, 783,783,186,'Accidental poisoning',0,'X40-X49',783,'Op_en2779','Diagnosis1','-',6,2779,1,0, 784,784,186,'Accidental falls',0,'W00-W19',784,'Op_en2779','Diagnosis1','-',6,2779,1,0, 785,785,186,'Accidents caused by fire and flames',0,'X00-X09',785,'Op_en2779','Diagnosis1','-',6,2779,1,0, 786,786,186,'Accidental drowning and submersion',0,'W65-W74',786,'Op_en2779','Diagnosis1','-',6,2779,1,0, 787,787,186,'Accidents caused by machinery and by cutting and piercing instruments',0,'W24-W31',787,'Op_en2779','Diagnosis1','-',6,2779,1,0, 788,788,186,'Accidents caused by firearm missile',0,'W32-W34',788,'Op_en2779','Diagnosis1','-',6,2779,1,0, 789,789,186,'All other accidents, including late effects',0,'W20-W23, W35-W64, W75-W99, X10-X39, X50-X59, Y85, Y86',789,'Op_en2779','Diagnosis1','-',6,2779,1,0, 790,790,186,'Drugs, medicaments causing adverse effects in therapeutic use',0,'Y40-Y84, Y88',790,'Op_en2779','Diagnosis1','-',6,2779,1,0, 791,791,186,'Suicide and self- inflicted injury',0,'X60-X84',791,'Op_en2779','Diagnosis1','-',6,2779,1,0, 792,792,186,'Homicide and injury purposely inflicted by other persons',0,'X85-Y09',792,'Op_en2779','Diagnosis1','-',6,2779,1,0, 793,793,186,'Other external causes',0,'Y10-Y36, Y87, Y89',793,'Op_en2779','Diagnosis1','-',6,2779,1,0, 794,794,187,'Number',0,'0.00000000000000',794,'Op_en2784','Units1','-',6,2784,1,0, 795,795,187,'Number/100000 person-years',0,'0.00000000000000',795,'Op_en2784','Units1','-',6,2784,1,0, 796,796,188,'All ages',0,'0.00000000000000',796,'Op_en2781','Age group1','a',6,2781,1,0, 797,797,188,'< 1',0,'0.00000000000000',797,'Op_en2781','Age group1','a',6,2781,1,0, 798,798,188,'1-4',0,'0.00000000000000',798,'Op_en2781','Age group1','a',6,2781,1,0, 799,799,188,'5-14',0,'0.00000000000000',799,'Op_en2781','Age group1','a',6,2781,1,0, 800,800,188,'15-24',0,'0.00000000000000',800,'Op_en2781','Age group1','a',6,2781,1,0, 801,801,188,'25-34',0,'0.00000000000000',801,'Op_en2781','Age group1','a',6,2781,1,0, 802,802,188,'35-44',0,'0.00000000000000',802,'Op_en2781','Age group1','a',6,2781,1,0, 803,803,188,'45-54',0,'0.00000000000000',803,'Op_en2781','Age group1','a',6,2781,1,0, 804,804,188,'55-64',0,'0.00000000000000',804,'Op_en2781','Age group1','a',6,2781,1,0, 805,805,188,'65-74',0,'0.00000000000000',805,'Op_en2781','Age group1','a',6,2781,1,0, 806,806,188,'75+',0,'0.00000000000000',806,'Op_en2781','Age group1','a',6,2781,1,0, 807,807,188,'Age not specified',0,'0.00000000000000',807,'Op_en2781','Age group1','a',6,2781,1,0, 808,808,189,'Finland',0,'0.00000000000000',808,'Country1','Country1','-',6,2785,1,0, 809,809,193,'All',0,'0.00000000000000',809,'Age2','Age2','a',6,2812,1,0, 810,810,193,'0-64',0,'0.00000000000000',810,'Age2','Age2','a',6,2812,1,0, 811,811,193,'64+',0,'0.00000000000000',811,'Age2','Age2','a',6,2812,1,0, 812,812,194,'Austria',0,'0.00000000000000',812,'Country2','Country2','-',6,2813,1,0, 813,813,194,'Belgium',0,'0.00000000000000',813,'Country2','Country2','-',6,2813,1,0, 814,814,194,'Bulgaria',0,'0.00000000000000',814,'Country2','Country2','-',6,2813,1,0, 815,815,194,'Cyprus',0,'0.00000000000000',815,'Country2','Country2','-',6,2813,1,0, 816,816,194,'Czech Republic',0,'0.00000000000000',816,'Country2','Country2','-',6,2813,1,0, 817,817,194,'Denmark',0,'0.00000000000000',817,'Country2','Country2','-',6,2813,1,0, 818,818,194,'Estonia',0,'0.00000000000000',818,'Country2','Country2','-',6,2813,1,0, 819,819,194,'Finland',0,'0.00000000000000',819,'Country2','Country2','-',6,2813,1,0, 820,820,194,'France',0,'0.00000000000000',820,'Country2','Country2','-',6,2813,1,0, 821,821,194,'Germany',0,'0.00000000000000',821,'Country2','Country2','-',6,2813,1,0, 822,822,194,'Greece',0,'0.00000000000000',822,'Country2','Country2','-',6,2813,1,0, 823,823,194,'Hungary',0,'0.00000000000000',823,'Country2','Country2','-',6,2813,1,0, 824,824,194,'Ireland',0,'0.00000000000000',824,'Country2','Country2','-',6,2813,1,0, 825,825,194,'Italy',0,'0.00000000000000',825,'Country2','Country2','-',6,2813,1,0, 826,826,194,'Latvia',0,'0.00000000000000',826,'Country2','Country2','-',6,2813,1,0, 827,827,194,'Luxembourg',0,'0.00000000000000',827,'Country2','Country2','-',6,2813,1,0, 828,828,194,'Malta',0,'0.00000000000000',828,'Country2','Country2','-',6,2813,1,0, 829,829,194,'Netherlands',0,'0.00000000000000',829,'Country2','Country2','-',6,2813,1,0, 830,830,194,'Poland',0,'0.00000000000000',830,'Country2','Country2','-',6,2813,1,0, 831,831,194,'Portugal',0,'0.00000000000000',831,'Country2','Country2','-',6,2813,1,0, 832,832,194,'Romania',0,'0.00000000000000',832,'Country2','Country2','-',6,2813,1,0, 833,833,194,'Slovakia',0,'0.00000000000000',833,'Country2','Country2','-',6,2813,1,0, 834,834,194,'Slovenia',0,'0.00000000000000',834,'Country2','Country2','-',6,2813,1,0, 835,835,194,'Spain',0,'0.00000000000000',835,'Country2','Country2','-',6,2813,1,0, 836,836,194,'Sweden',0,'0.00000000000000',836,'Country2','Country2','-',6,2813,1,0, 837,837,194,'United Kingdom',0,'0.00000000000000',837,'Country2','Country2','-',6,2813,1,0, 838,838,194,'EU ',0,'0.00000000000000',838,'Country2','Country2','-',6,2813,1,0, 839,839,195,'1970',0,'0.00000000000000',839,'Year2','Year2','a',6,2814,1,0, 840,840,195,'1971',0,'0.00000000000000',840,'Year2','Year2','a',6,2814,1,0, 841,841,195,'1972',0,'0.00000000000000',841,'Year2','Year2','a',6,2814,1,0, 842,842,195,'1973',0,'0.00000000000000',842,'Year2','Year2','a',6,2814,1,0, 843,843,195,'1974',0,'0.00000000000000',843,'Year2','Year2','a',6,2814,1,0, 844,844,195,'1975',0,'0.00000000000000',844,'Year2','Year2','a',6,2814,1,0, 845,845,195,'1976',0,'0.00000000000000',845,'Year2','Year2','a',6,2814,1,0, 846,846,195,'1977',0,'0.00000000000000',846,'Year2','Year2','a',6,2814,1,0, 847,847,195,'1978',0,'0.00000000000000',847,'Year2','Year2','a',6,2814,1,0, 848,848,195,'1979',0,'0.00000000000000',848,'Year2','Year2','a',6,2814,1,0, 849,849,195,'1980',0,'0.00000000000000',849,'Year2','Year2','a',6,2814,1,0, 850,850,195,'1981',0,'0.00000000000000',850,'Year2','Year2','a',6,2814,1,0, 851,851,195,'1982',0,'0.00000000000000',851,'Year2','Year2','a',6,2814,1,0, 852,852,195,'1983',0,'0.00000000000000',852,'Year2','Year2','a',6,2814,1,0, 853,853,195,'1984',0,'0.00000000000000',853,'Year2','Year2','a',6,2814,1,0, 854,854,195,'1985',0,'0.00000000000000',854,'Year2','Year2','a',6,2814,1,0, 855,855,195,'1986',0,'0.00000000000000',855,'Year2','Year2','a',6,2814,1,0, 856,856,195,'1987',0,'0.00000000000000',856,'Year2','Year2','a',6,2814,1,0, 857,857,195,'1988',0,'0.00000000000000',857,'Year2','Year2','a',6,2814,1,0, 858,858,195,'1989',0,'0.00000000000000',858,'Year2','Year2','a',6,2814,1,0, 859,859,195,'1990',0,'0.00000000000000',859,'Year2','Year2','a',6,2814,1,0, 860,860,195,'1991',0,'0.00000000000000',860,'Year2','Year2','a',6,2814,1,0, 861,861,195,'1992',0,'0.00000000000000',861,'Year2','Year2','a',6,2814,1,0, 862,862,195,'1993',0,'0.00000000000000',862,'Year2','Year2','a',6,2814,1,0, 863,863,195,'1994',0,'0.00000000000000',863,'Year2','Year2','a',6,2814,1,0, 864,864,195,'1995',0,'0.00000000000000',864,'Year2','Year2','a',6,2814,1,0, 865,865,195,'1996',0,'0.00000000000000',865,'Year2','Year2','a',6,2814,1,0, 866,866,195,'1997',0,'0.00000000000000',866,'Year2','Year2','a',6,2814,1,0, 867,867,195,'1998',0,'0.00000000000000',867,'Year2','Year2','a',6,2814,1,0, 868,868,195,'1999',0,'0.00000000000000',868,'Year2','Year2','a',6,2814,1,0, 869,869,195,'2000',0,'0.00000000000000',869,'Year2','Year2','a',6,2814,1,0, 870,870,195,'2001',0,'0.00000000000000',870,'Year2','Year2','a',6,2814,1,0, 871,871,195,'2002',0,'0.00000000000000',871,'Year2','Year2','a',6,2814,1,0, 872,872,195,'2003',0,'0.00000000000000',872,'Year2','Year2','a',6,2814,1,0, 873,873,195,'2004',0,'0.00000000000000',873,'Year2','Year2','a',6,2814,1,0, 874,874,195,'2005',0,'0.00000000000000',874,'Year2','Year2','a',6,2814,1,0, 875,875,195,'2006',0,'0.00000000000000',875,'Year2','Year2','a',6,2814,1,0, 876,876,195,'2007',0,'0.00000000000000',876,'Year2','Year2','a',6,2814,1,0, 877,877,196,'Male',0,'0.00000000000000',877,'Sex2','Sex2','-',6,2815,1,0, 878,878,196,'Female',0,'0.00000000000000',878,'Sex2','Sex2','-',6,2815,1,0, 879,879,196,'All',0,'0.00000000000000',879,'Sex2','Sex2','-',6,2815,1,0, 883,883,207,'All causes',0,'-’',883,'Diagnosis2','Diagnosis2','ICD-10',6,2835,1,0, 884,884,207,'Infectious and parasitic diseases',0,'A00-B99’',884,'Diagnosis2','Diagnosis2','ICD-10',6,2835,1,0, 885,885,207,'Typhoid and paratyphoid fever',0,'A01’',885,'Diagnosis2','Diagnosis2','ICD-10',6,2835,1,0, 919,919,36,'ncd',1,'0.00000000000000',919,'Pollutant','Pollutant','-',2,2493,1,0, 920,920,36,'o31',2,'0.00000000000000',920,'Pollutant','Pollutant','-',2,2493,1,0, 921,921,36,'p10',3,'0.00000000000000',921,'Pollutant','Pollutant','-',2,2493,1,0, 922,922,36,'p25',4,'0.00000000000000',922,'Pollutant','Pollutant','-',2,2493,1,0, 923,923,36,'s10',5,'0.00000000000000',923,'Pollutant','Pollutant','-',2,2493,1,0, 924,924,36,'s25',6,'0.00000000000000',924,'Pollutant','Pollutant','-',2,2493,1,0, 925,925,36,'som',7,'0.00000000000000',925,'Pollutant','Pollutant','-',2,2493,1,0, 933,933,277,'AD',1,'0.00000000000000',933,'CountryID','Country identifier','-',6,2664,1,0, 934,934,278,'crops',1,'0.00000000000000',934,'Receptor','Receptor of the impact','-',6,2664,1,0, 935,935,278,'human',2,'0.00000000000000',935,'Receptor','Receptor of the impact','-',6,2664,1,0, 936,936,279,'total',1,'0.00000000000000',936,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 937,937,279,'potato',2,'0.00000000000000',937,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 938,938,279,'rice',3,'0.00000000000000',938,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 939,939,279,'sugar beet',4,'0.00000000000000',939,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 940,940,279,'sunflower seed',5,'0.00000000000000',940,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 941,941,279,'tobacco',6,'0.00000000000000',941,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 942,942,279,'wheat',7,'0.00000000000000',942,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 943,943,279,'adults_20',8,'0.00000000000000',943,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 944,944,279,'adults_27',9,'0.00000000000000',944,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 945,945,279,'adults_ab15',10,'0.00000000000000',945,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 946,946,279,'children_5_14',11,'0.00000000000000',946,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 947,947,279,'adults_15_64',12,'0.00000000000000',947,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 948,948,279,'adults_30',13,'0.00000000000000',948,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 949,949,279,'infants',14,'0.00000000000000',949,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 950,950,279,'adults_18_64',15,'0.00000000000000',950,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 951,951,279,'adults_65',16,'0.00000000000000',951,'ReceptorSubGroup','Receptor subgroup','-',6,2664,1,0, 952,952,280,'add. fertil. needed [kg]',1,'0.00000000000000',952,'Impact','Impact in the receptor','-',6,2664,1,0, 953,953,280,'yield loss [dt]',2,'0.00000000000000',953,'Impact','Impact in the receptor','-',6,2664,1,0, 954,954,280,'Bronchodilator usage',3,'0.00000000000000',954,'Impact','Impact in the receptor','-',6,2664,1,0, 955,955,280,'chronic bronchitis',4,'0.00000000000000',955,'Impact','Impact in the receptor','-',6,2664,1,0, 956,956,280,'Lower resp. symptoms',5,'0.00000000000000',956,'Impact','Impact in the receptor','-',6,2664,1,0, 957,957,280,'Cardiac hosp.admissions',6,'0.00000000000000',957,'Impact','Impact in the receptor','-',6,2664,1,0, 958,958,280,'resp. hosp. admission',7,'0.00000000000000',958,'Impact','Impact in the receptor','-',6,2664,1,0, 959,959,280,'Restr. activity days',8,'0.00000000000000',959,'Impact','Impact in the receptor','-',6,2664,1,0, 960,960,280,'Work loss days',9,'0.00000000000000',960,'Impact','Impact in the receptor','-',6,2664,1,0, 961,961,280,'chronic’ YOLL',10,'0.00000000000000',961,'Impact','Impact in the receptor','-',6,2664,1,0, 962,962,280,'IncreasedInfantMort',11,'0.00000000000000',962,'Impact','Impact in the receptor','-',6,2664,1,0, 963,963,280,'Minor RAD',12,'0.00000000000000',963,'Impact','Impact in the receptor','-',6,2664,1,0, 964,964,280,'LRSwo cough',13,'0.00000000000000',964,'Impact','Impact in the receptor','-',6,2664,1,0, 965,965,280,'acute’ YOLL',14,'0.00000000000000',965,'Impact','Impact in the receptor','-',6,2664,1,0, 973,973,282,'Hornung, 1997',1,'0.00000000000000',973,'FunctionReference','Reference for the impact function','-',6,2664,1,0, 974,974,282,'Mills et al. 2003',2,'0.00000000000000',974,'FunctionReference','Reference for the impact function','-',6,2664,1,0, 975,975,282,'NEEDS_PPM10',3,'0.00000000000000',975,'FunctionReference','Reference for the impact function','-',6,2664,1,0, 976,976,282,'NEEDS_PPM25',4,'0.00000000000000',976,'FunctionReference','Reference for the impact function','-',6,2664,1,0, 977,977,282,'NEEDS_SIA10',5,'0.00000000000000',977,'FunctionReference','Reference for the impact function','-',6,2664,1,0, 978,978,282,'NEEDS_SIA25',6,'0.00000000000000',978,'FunctionReference','Reference for the impact function','-',6,2664,1,0, 979,979,282,'NEEDS_SOMO35',7,'0.00000000000000',979,'FunctionReference','Reference for the impact function','-',6,2664,1,0, 980,980,301,'Kiikoinen',1,'',980,'Municipality','Municipality in Finland','-',6,2664,1,0, 981,981,301,'Lavia',2,'',981,'Municipality','Municipality in Finland','-',6,2664,1,0, 982,982,301,'Mouhijärvi',3,'',982,'Municipality','Municipality in Finland','-',6,2664,1,0, 983,983,301,'Suodenniemi',4,'',983,'Municipality','Municipality in Finland','-',6,2664,1,0, 984,984,301,'Vammala',5,'',984,'Municipality','Municipality in Finland','-',6,2664,1,0, 985,985,301,'Äetsä',6,'',985,'Municipality','Municipality in Finland','-',6,2664,1,0, 986,986,302,'Kuorsumaanjärvi',1,'',986,'Lake','Lake in Finland','-',6,2664,1,0, 987,987,302,'Lavijärvi',2,'',987,'Lake','Lake in Finland','-',6,2664,1,0, 988,988,302,'Karhijärvi',3,'',988,'Lake','Lake in Finland','-',6,2664,1,0, 989,989,302,'Saarijärvi',4,'',989,'Lake','Lake in Finland','-',6,2664,1,0, 990,990,302,'Iso-Poikkelus',5,'',990,'Lake','Lake in Finland','-',6,2664,1,0, 991,991,302,'Pääjärvi',6,'',991,'Lake','Lake in Finland','-',6,2664,1,0, 992,992,302,'Kirkkojärvi',7,'',992,'Lake','Lake in Finland','-',6,2664,1,0, 993,993,302,'Kankaanjärvi',8,'',993,'Lake','Lake in Finland','-',6,2664,1,0, 994,994,302,'Valkeajärvi',9,'',994,'Lake','Lake in Finland','-',6,2664,1,0, 995,995,302,'Hurttionjärvi',10,'',995,'Lake','Lake in Finland','-',6,2664,1,0, 996,996,302,'Kulovesi',11,'',996,'Lake','Lake in Finland','-',6,2664,1,0, 997,997,302,'Rekujärvi',12,'',997,'Lake','Lake in Finland','-',6,2664,1,0, 998,998,302,'Pieni_Haukijärvi',13,'',998,'Lake','Lake in Finland','-',6,2664,1,0, 999,999,302,'Latvajärvi',14,'',999,'Lake','Lake in Finland','-',6,2664,1,0, 1000,1000,302,'Murtojärvi',15,'',1000,'Lake','Lake in Finland','-',6,2664,1,0, 1001,1001,302,'Miekkajärvi',16,'',1001,'Lake','Lake in Finland','-',6,2664,1,0, 1002,1002,302,'Potkujärvi',17,'',1002,'Lake','Lake in Finland','-',6,2664,1,0, 1003,1003,302,'Joutsijärvi',18,'',1003,'Lake','Lake in Finland','-',6,2664,1,0, 1004,1004,302,'Rautavesi',19,'',1004,'Lake','Lake in Finland','-',6,2664,1,0, 1005,1005,302,'Vähä-Poikelus',20,'',1005,'Lake','Lake in Finland','-',6,2664,1,0, 1006,1006,302,'Iso-Lattio',21,'',1006,'Lake','Lake in Finland','-',6,2664,1,0, 1007,1007,302,'Otajärvi',22,'',1007,'Lake','Lake in Finland','-',6,2664,1,0, 1008,1008,302,'Ylinen/Ritajärvi',23,'',1008,'Lake','Lake in Finland','-',6,2664,1,0, 1009,1009,302,'Houhajärvi',24,'',1009,'Lake','Lake in Finland','-',6,2664,1,0, 1010,1010,302,'Alinen/Ritajärvi',25,'',1010,'Lake','Lake in Finland','-',6,2664,1,0, 1011,1011,302,'Pitkäjärvi',26,'',1011,'Lake','Lake in Finland','-',6,2664,1,0, 1012,1012,302,'Ylistenjärvi',27,'',1012,'Lake','Lake in Finland','-',6,2664,1,0, 1013,1013,302,'Riippilänjärvi',28,'',1013,'Lake','Lake in Finland','-',6,2664,1,0, 1014,1014,302,'Aurajärvi',29,'',1014,'Lake','Lake in Finland','-',6,2664,1,0, 1015,1015,302,'Tyrisevä',30,'',1015,'Lake','Lake in Finland','-',6,2664,1,0, 1016,1016,302,'Kivijärvi',31,'',1016,'Lake','Lake in Finland','-',6,2664,1,0, 1017,1017,302,'Kiimajärvi',32,'',1017,'Lake','Lake in Finland','-',6,2664,1,0, 1018,1018,303,'07.09.05',1,'',1018,'Date','Date of observation','date',6,2664,1,0, 1019,1019,303,'13.09.05',2,'',1019,'Date','Date of observation','date',6,2664,1,0, 1020,1020,303,'11.10.05',3,'',1020,'Date','Date of observation','date',6,2664,1,0, 1021,1021,303,'18.07.05',4,'',1021,'Date','Date of observation','date',6,2664,1,0, 1022,1022,303,'16.08.05',5,'',1022,'Date','Date of observation','date',6,2664,1,0, 1023,1023,303,'06.09.05',6,'',1023,'Date','Date of observation','date',6,2664,1,0, 1024,1024,303,'25.09.05',7,'',1024,'Date','Date of observation','date',6,2664,1,0, 1025,1025,303,'23.08.05',8,'',1025,'Date','Date of observation','date',6,2664,1,0, 1026,1026,303,'03.09.05',9,'',1026,'Date','Date of observation','date',6,2664,1,0, 1027,1027,303,'04.07.05',10,'',1027,'Date','Date of observation','date',6,2664,1,0, 1028,1028,303,'07.07.05',11,'',1028,'Date','Date of observation','date',6,2664,1,0, 1029,1029,303,'28.07.05',12,'',1029,'Date','Date of observation','date',6,2664,1,0, 1030,1030,303,'10.07.05',13,'',1030,'Date','Date of observation','date',6,2664,1,0, 1031,1031,303,'11.07.05',14,'',1031,'Date','Date of observation','date',6,2664,1,0, 1032,1032,303,'12.07.05',15,'',1032,'Date','Date of observation','date',6,2664,1,0, 1033,1033,303,'19.07.05',16,'',1033,'Date','Date of observation','date',6,2664,1,0, 1034,1034,303,'25.07.05',17,'',1034,'Date','Date of observation','date',6,2664,1,0, 1035,1035,303,'27.07.05',18,'',1035,'Date','Date of observation','date',6,2664,1,0, 1036,1036,303,'01.08.05',19,'',1036,'Date','Date of observation','date',6,2664,1,0, 1037,1037,303,'02.08.05',20,'',1037,'Date','Date of observation','date',6,2664,1,0, 1038,1038,303,'06.08.05',21,'',1038,'Date','Date of observation','date',6,2664,1,0, 1039,1039,303,'09.08.05',22,'',1039,'Date','Date of observation','date',6,2664,1,0, 1040,1040,303,'10.08.05',23,'',1040,'Date','Date of observation','date',6,2664,1,0, 1041,1041,303,'17.08.05',24,'',1041,'Date','Date of observation','date',6,2664,1,0, 1042,1042,303,'01.09.05',25,'',1042,'Date','Date of observation','date',6,2664,1,0, 1043,1043,303,'27.08.05',26,'',1043,'Date','Date of observation','date',6,2664,1,0, 1044,1044,303,'29.08.05',27,'',1044,'Date','Date of observation','date',6,2664,1,0, 1045,1045,303,'12.09.05',28,'',1045,'Date','Date of observation','date',6,2664,1,0, 1046,1046,303,'20.09.05',29,'',1046,'Date','Date of observation','date',6,2664,1,0, 1047,1047,303,'28.09.05',30,'',1047,'Date','Date of observation','date',6,2664,1,0, 1048,1048,303,'27.09.05',31,'',1048,'Date','Date of observation','date',6,2664,1,0, 1049,1049,303,'02.10.05',32,'',1049,'Date','Date of observation','date',6,2664,1,0, 1050,1050,303,'02.11.05',33,'',1050,'Date','Date of observation','date',6,2664,1,0, 1051,1051,303,'03.10.05',34,'',1051,'Date','Date of observation','date',6,2664,1,0, 1052,1052,303,'22.08.05',35,'',1052,'Date','Date of observation','date',6,2664,1,0, 1053,1053,303,'30.08.05',36,'',1053,'Date','Date of observation','date',6,2664,1,0, 1054,1054,303,'05.09.05',37,'',1054,'Date','Date of observation','date',6,2664,1,0, 1055,1055,304,'Ahven',1,'',1055,'Fish','Fish species','-',6,0,5,0, 1056,1056,304,'Hauki',2,'',1056,'Fish','Fish species','-',6,0,5,0, 1057,1057,305,'12',1,'',1057,'Samplesize','Number of samples taken','#',6,2664,1,0, 1058,1058,305,'3',2,'',1058,'Samplesize','Number of samples taken','#',6,2664,1,0, 1059,1059,305,'4',3,'',1059,'Samplesize','Number of samples taken','#',6,2664,1,0, 1060,1060,305,'6',4,'',1060,'Samplesize','Number of samples taken','#',6,2664,1,0, 1061,1061,305,'1',5,'',1061,'Samplesize','Number of samples taken','#',6,2664,1,0, 1062,1062,305,'25',6,'',1062,'Samplesize','Number of samples taken','#',6,2664,1,0, 1063,1063,305,'26',7,'',1063,'Samplesize','Number of samples taken','#',6,2664,1,0, 1064,1064,305,'19',8,'',1064,'Samplesize','Number of samples taken','#',6,2664,1,0, 1065,1065,305,'20',9,'',1065,'Samplesize','Number of samples taken','#',6,2664,1,0, 1066,1066,305,'24',10,'',1066,'Samplesize','Number of samples taken','#',6,2664,1,0, 1067,1067,305,'32',11,'',1067,'Samplesize','Number of samples taken','#',6,2664,1,0, 1068,1068,305,'34',12,'',1068,'Samplesize','Number of samples taken','#',6,2664,1,0, 1069,1069,305,'2',13,'',1069,'Samplesize','Number of samples taken','#',6,2664,1,0, 1070,1070,305,'15',14,'',1070,'Samplesize','Number of samples taken','#',6,2664,1,0, 1071,1071,305,'11',15,'',1071,'Samplesize','Number of samples taken','#',6,2664,1,0, 1072,1072,305,'18',16,'',1072,'Samplesize','Number of samples taken','#',6,2664,1,0, 1073,1073,305,'13',17,'',1073,'Samplesize','Number of samples taken','#',6,2664,1,0, 1074,1074,305,'5',18,'',1074,'Samplesize','Number of samples taken','#',6,2664,1,0, 1075,1075,305,'31',19,'',1075,'Samplesize','Number of samples taken','#',6,2664,1,0, 1076,1076,305,'40',20,'',1076,'Samplesize','Number of samples taken','#',6,2664,1,0, 1077,1077,305,'39',21,'',1077,'Samplesize','Number of samples taken','#',6,2664,1,0, 1078,1078,305,'28',22,'',1078,'Samplesize','Number of samples taken','#',6,2664,1,0, 1079,1079,305,'22',23,'',1079,'Samplesize','Number of samples taken','#',6,2664,1,0, 1080,1080,305,'21',24,'',1080,'Samplesize','Number of samples taken','#',6,2664,1,0, 1081,1081,305,'23',25,'',1081,'Samplesize','Number of samples taken','#',6,2664,1,0, 1082,1082,305,'8',26,'',1082,'Samplesize','Number of samples taken','#',6,2664,1,0, 1083,1083,305,'45',27,'',1083,'Samplesize','Number of samples taken','#',6,2664,1,0, 1084,1084,305,'17',28,'',1084,'Samplesize','Number of samples taken','#',6,2664,1,0, 1085,1085,305,'37',29,'',1085,'Samplesize','Number of samples taken','#',6,2664,1,0, 1086,1086,305,'16',30,'',1086,'Samplesize','Number of samples taken','#',6,2664,1,0, 1087,1087,305,'27',31,'',1087,'Samplesize','Number of samples taken','#',6,2664,1,0, 1088,1088,305,'35',32,'',1088,'Samplesize','Number of samples taken','#',6,2664,1,0, 1089,1089,305,'33',33,'',1089,'Samplesize','Number of samples taken','#',6,2664,1,0, 1090,1090,305,'48',34,'',1090,'Samplesize','Number of samples taken','#',6,2664,1,0, 1091,1091,305,'7',35,'',1091,'Samplesize','Number of samples taken','#',6,2664,1,0, 1092,1092,306,'21',1,'',1092,'Minsize','Minimum size','cm',6,2664,1,0, 1093,1093,306,'31',2,'',1093,'Minsize','Minimum size','cm',6,2664,1,0, 1094,1094,306,'50',3,'',1094,'Minsize','Minimum size','cm',6,2664,1,0, 1095,1095,306,'25',4,'',1095,'Minsize','Minimum size','cm',6,2664,1,0, 1096,1096,306,'56',5,'',1096,'Minsize','Minimum size','cm',6,2664,1,0, 1097,1097,306,'10',6,'',1097,'Minsize','Minimum size','cm',6,2664,1,0, 1098,1098,306,'24',7,'',1098,'Minsize','Minimum size','cm',6,2664,1,0, 1099,1099,306,'14',8,'',1099,'Minsize','Minimum size','cm',6,2664,1,0, 1100,1100,306,'32',9,'',1100,'Minsize','Minimum size','cm',6,2664,1,0, 1101,1101,306,'11',10,'',1101,'Minsize','Minimum size','cm',6,2664,1,0, 1102,1102,306,'17',11,'',1102,'Minsize','Minimum size','cm',6,2664,1,0, 1103,1103,306,'12',12,'',1103,'Minsize','Minimum size','cm',6,2664,1,0, 1104,1104,306,'15',13,'',1104,'Minsize','Minimum size','cm',6,2664,1,0, 1105,1105,306,'9',14,'',1105,'Minsize','Minimum size','cm',6,2664,1,0, 1106,1106,306,'8',15,'',1106,'Minsize','Minimum size','cm',6,2664,1,0, 1107,1107,306,'165',16,'',1107,'Minsize','Minimum size','cm',6,2664,1,0, 1108,1108,306,'16',17,'',1108,'Minsize','Minimum size','cm',6,2664,1,0, 1109,1109,306,'37',18,'',1109,'Minsize','Minimum size','cm',6,2664,1,0, 1110,1110,306,'72',19,'',1110,'Minsize','Minimum size','cm',6,2664,1,0, 1111,1111,306,'19',20,'',1111,'Minsize','Minimum size','cm',6,2664,1,0, 1112,1112,306,'27',21,'',1112,'Minsize','Minimum size','cm',6,2664,1,0, 1113,1113,306,'13',22,'',1113,'Minsize','Minimum size','cm',6,2664,1,0, 1114,1114,306,'42',23,'',1114,'Minsize','Minimum size','cm',6,2664,1,0, 1115,1115,306,'7',24,'',1115,'Minsize','Minimum size','cm',6,2664,1,0, 1116,1116,306,'49',25,'',1116,'Minsize','Minimum size','cm',6,2664,1,0, 1117,1117,306,'44',26,'',1117,'Minsize','Minimum size','cm',6,2664,1,0, 1118,1118,306,'20',27,'',1118,'Minsize','Minimum size','cm',6,2664,1,0, 1119,1119,306,'46',28,'',1119,'Minsize','Minimum size','cm',6,2664,1,0, 1120,1120,306,'36',29,'',1120,'Minsize','Minimum size','cm',6,2664,1,0, 1121,1121,306,'39',30,'',1121,'Minsize','Minimum size','cm',6,2664,1,0, 1122,1122,306,'29',31,'',1122,'Minsize','Minimum size','cm',6,2664,1,0, 1123,1123,307,'30',1,'',1123,'Maxsize','Maximum size','cm',6,2664,1,0, 1124,1124,307,'41',2,'',1124,'Maxsize','Maximum size','cm',6,2664,1,0, 1125,1125,307,'55',3,'',1125,'Maxsize','Maximum size','cm',6,2664,1,0, 1126,1126,307,'56',4,'',1126,'Maxsize','Maximum size','cm',6,2664,1,0, 1127,1127,307,'15',5,'',1127,'Maxsize','Maximum size','cm',6,2664,1,0, 1128,1128,307,'31',6,'',1128,'Maxsize','Maximum size','cm',6,2664,1,0, 1129,1129,307,'12',7,'',1129,'Maxsize','Maximum size','cm',6,2664,1,0, 1130,1130,307,'20',8,'',1130,'Maxsize','Maximum size','cm',6,2664,1,0, 1131,1131,307,'54',9,'',1131,'Maxsize','Maximum size','cm',6,2664,1,0, 1132,1132,307,'16',10,'',1132,'Maxsize','Maximum size','cm',6,2664,1,0, 1133,1133,307,'21',11,'',1133,'Maxsize','Maximum size','cm',6,2664,1,0, 1134,1134,307,'25',12,'',1134,'Maxsize','Maximum size','cm',6,2664,1,0, 1135,1135,307,'19',13,'',1135,'Maxsize','Maximum size','cm',6,2664,1,0, 1136,1136,307,'70',14,'',1136,'Maxsize','Maximum size','cm',6,2664,1,0, 1137,1137,307,'23',15,'',1137,'Maxsize','Maximum size','cm',6,2664,1,0, 1138,1138,307,'135',16,'',1138,'Maxsize','Maximum size','cm',6,2664,1,0, 1139,1139,307,'22',17,'',1139,'Maxsize','Maximum size','cm',6,2664,1,0, 1140,1140,307,'49',18,'',1140,'Maxsize','Maximum size','cm',6,2664,1,0, 1141,1141,307,'85',19,'',1141,'Maxsize','Maximum size','cm',6,2664,1,0, 1142,1142,307,'17',20,'',1142,'Maxsize','Maximum size','cm',6,2664,1,0, 1143,1143,307,'48',21,'',1143,'Maxsize','Maximum size','cm',6,2664,1,0, 1144,1144,307,'45',22,'',1144,'Maxsize','Maximum size','cm',6,2664,1,0, 1145,1145,307,'13',23,'',1145,'Maxsize','Maximum size','cm',6,2664,1,0, 1146,1146,307,'14',24,'',1146,'Maxsize','Maximum size','cm',6,2664,1,0, 1147,1147,307,'44',25,'',1147,'Maxsize','Maximum size','cm',6,2664,1,0, 1148,1148,307,'57',26,'',1148,'Maxsize','Maximum size','cm',6,2664,1,0, 1149,1149,307,'24',27,'',1149,'Maxsize','Maximum size','cm',6,2664,1,0, 1150,1150,307,'29',28,'',1150,'Maxsize','Maximum size','cm',6,2664,1,0, 1151,1151,307,'46',29,'',1151,'Maxsize','Maximum size','cm',6,2664,1,0, 1152,1152,307,'39',30,'',1152,'Maxsize','Maximum size','cm',6,2664,1,0, 1153,1153,307,'50',31,'',1153,'Maxsize','Maximum size','cm',6,2664,1,0, 1154,1154,307,'38',32,'',1154,'Maxsize','Maximum size','cm',6,2664,1,0, 1155,1155,307,'58',33,'',1155,'Maxsize','Maximum size','cm',6,2664,1,0, 1156,1156,307,'64',34,'',1156,'Maxsize','Maximum size','cm',6,2664,1,0, 1157,1157,307,'11',35,'',1157,'Maxsize','Maximum size','cm',6,2664,1,0, 1158,1158,307,'32',36,'',1158,'Maxsize','Maximum size','cm',6,2664,1,0, 1159,1159,307,'67',37,'',1159,'Maxsize','Maximum size','cm',6,2664,1,0, 1160,1160,308,'28',1,'',1160,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1161,1161,308,'27',2,'',1161,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1162,1162,308,'25',3,'',1162,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1163,1163,308,'32',4,'',1163,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1164,1164,308,'41',5,'',1164,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1165,1165,308,'18',6,'',1165,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1166,1166,308,'34',7,'',1166,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1167,1167,308,'358',8,'',1167,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1168,1168,308,'391',9,'',1168,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1169,1169,308,'996',10,'',1169,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1170,1170,308,'419',11,'',1170,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1171,1171,308,'373',12,'',1171,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1172,1172,308,'560',13,'',1172,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1173,1173,308,'696',14,'',1173,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1174,1174,308,'9',15,'',1174,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1175,1175,308,'4',16,'',1175,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1176,1176,308,'<15',17,'',1176,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1177,1177,308,'290',18,'',1177,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1178,1178,308,'451',19,'',1178,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1179,1179,308,'496',20,'',1179,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1180,1180,308,'1310',21,'',1180,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1181,1181,308,'1800',22,'',1181,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1182,1182,308,'1420',23,'',1182,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1183,1183,308,'949',24,'',1183,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1184,1184,308,'1940',25,'',1184,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1185,1185,308,'124',26,'',1185,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1186,1186,308,'1070',27,'',1186,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1187,1187,308,'1410',28,'',1187,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1188,1188,308,'1560',29,'',1188,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1189,1189,308,'250',30,'',1189,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1190,1190,308,'304',31,'',1190,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1191,1191,308,'723',32,'',1191,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1192,1192,308,'717',33,'',1192,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1193,1193,308,'788',34,'',1193,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1194,1194,308,'273',35,'',1194,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1195,1195,308,'163',36,'',1195,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1196,1196,308,'136',37,'',1196,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1197,1197,308,'172',38,'',1197,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1198,1198,308,'500',39,'',1198,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1199,1199,308,'472',40,'',1199,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1200,1200,308,'425',41,'',1200,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1201,1201,308,'572',42,'',1201,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1202,1202,308,'66',43,'',1202,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1203,1203,308,'90',44,'',1203,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1204,1204,308,'412',45,'',1204,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1205,1205,308,'240',46,'',1205,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1206,1206,308,'261',47,'',1206,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1207,1207,308,'287',48,'',1207,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1208,1208,308,'302',49,'',1208,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1209,1209,308,'345',50,'',1209,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1210,1210,308,'237',51,'',1210,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1211,1211,308,'80',52,'',1211,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1212,1212,308,'53',53,'',1212,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1213,1213,308,'252',54,'',1213,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1214,1214,308,'532',55,'',1214,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1215,1215,308,'1150',56,'',1215,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1216,1216,308,'158',57,'',1216,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1217,1217,308,'211',58,'',1217,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1218,1218,308,'355',59,'',1218,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1219,1219,308,'889',60,'',1219,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1220,1220,308,'37',61,'',1220,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1221,1221,308,'56',62,'',1221,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1222,1222,308,'101',63,'',1222,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1223,1223,308,'146',64,'',1223,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1224,1224,308,'149',65,'',1224,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1225,1225,308,'193',66,'',1225,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1226,1226,308,'15',67,'',1226,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1227,1227,308,'39',68,'',1227,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1228,1228,308,'1350',69,'',1228,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1229,1229,308,'1030',70,'',1229,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1230,1230,308,'48',71,'',1230,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1231,1231,308,'116',72,'',1231,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1232,1232,308,'130',73,'',1232,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1233,1233,308,'31',74,'',1233,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1234,1234,308,'63',75,'',1234,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1235,1235,308,'40',76,'',1235,'137Cs_Bq/kgtpVammala','Concentration of Cs-137 in sample, measured by Vammala','Bq/kg f.w.',6,2664,1,0, 1236,1236,309,'33',1,'',1236,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1237,1237,309,'32',2,'',1237,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1238,1238,309,'36',3,'',1238,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1239,1239,309,'35',4,'',1239,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1240,1240,309,'14',5,'',1240,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1241,1241,309,'31',6,'',1241,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1242,1242,309,'357',7,'',1242,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1243,1243,309,'390',8,'',1243,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1244,1244,309,'1075',9,'',1244,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1245,1245,309,'422',10,'',1245,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1246,1246,309,'367',11,'',1246,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1247,1247,309,'554',12,'',1247,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1248,1248,309,'724',13,'',1248,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1249,1249,309,'3',14,'',1249,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1250,1250,309,'5',15,'',1250,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1251,1251,309,'6',16,'',1251,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1252,1252,309,'286',17,'',1252,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1253,1253,309,'482',18,'',1253,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1254,1254,309,'512',19,'',1254,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1255,1255,309,'1266',20,'',1255,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1256,1256,309,'1709',21,'',1256,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1257,1257,309,'1416',22,'',1257,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1258,1258,309,'945',23,'',1258,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1259,1259,309,'1852',24,'',1259,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1260,1260,309,'123',25,'',1260,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1261,1261,309,'1066',26,'',1261,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1262,1262,309,'1437',27,'',1262,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1263,1263,309,'1587',28,'',1263,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1264,1264,309,'262',29,'',1264,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1265,1265,309,'303',30,'',1265,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1266,1266,309,'721',31,'',1266,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1267,1267,309,'737',32,'',1267,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1268,1268,309,'811',33,'',1268,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1269,1269,309,'282',34,'',1269,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1270,1270,309,'172',35,'',1270,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1271,1271,309,'146',36,'',1271,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1272,1272,309,'178',37,'',1272,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1273,1273,309,'500',38,'',1273,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1274,1274,309,'444',39,'',1274,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1275,1275,309,'575',40,'',1275,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1276,1276,309,'71',41,'',1276,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1277,1277,309,'92',42,'',1277,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1278,1278,309,'435',43,'',1278,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1279,1279,309,'257',44,'',1279,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1280,1280,309,'275',45,'',1280,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1281,1281,309,'271',46,'',1281,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1282,1282,309,'307',47,'',1282,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1283,1283,309,'354',48,'',1283,'137Cs_Bq/kgtpSTUK','Concentration of Cs-137 in sample, measured by STUK','Bq/kg f.w.',6,2664,1,0, 1361,1361,54,'Samplesize',1,' ',1361,'Parameter','Statistical and other parameters of a variable','-',2,0,0,0, 1362,1362,54,'Minsize',2,' ',1362,'Parameter','Statistical and other parameters of a variable','-',2,0,0,0, 1363,1363,54,'Maxsize',3,' ',1363,'Parameter','Statistical and other parameters of a variable','-',2,0,0,0, 1364,1364,54,'137Cs_Bq/kgtpVammala',4,' ',1364,'Parameter','Statistical and other parameters of a variable','-',2,0,0,0, 1365,1365,54,'137Cs_Bq/kgtpSTUK',5,' ',1365,'Parameter','Statistical and other parameters of a variable','-',2,0,0,0, 1366,1366,54,'Hg_mg/kgtp',6,' ',1366,'Parameter','Statistical and other parameters of a variable','-',2,0,0,0, 1367,1367,48,'All',1,' ',1367,'Age','Age','a',2,2497,1,0, 1368,1368,48,'-64',2,' ',1368,'Age','Age','a',2,2497,1,0, 1369,1369,48,'65+',3,' ',1369,'Age','Age','a',2,2497,1,0, 1370,1370,422,'Austria',1,' ',1370,'Country','Country of observation','-',6,2664,1,0, 1371,1371,422,'Belgium',2,' ',1371,'Country','Country of observation','-',6,2664,1,0, 1372,1372,422,'Bulgaria',3,' ',1372,'Country','Country of observation','-',6,2664,1,0, 1373,1373,422,'Cyprus',4,' ',1373,'Country','Country of observation','-',6,2664,1,0, 1374,1374,422,'Czech Republic',5,' ',1374,'Country','Country of observation','-',6,2664,1,0, 1375,1375,422,'Denmark',6,' ',1375,'Country','Country of observation','-',6,2664,1,0, 1376,1376,422,'Estonia',7,' ',1376,'Country','Country of observation','-',6,2664,1,0, 1377,1377,422,'Finland',8,' ',1377,'Country','Country of observation','-',6,2664,1,0, 1378,1378,422,'France',9,' ',1378,'Country','Country of observation','-',6,2664,1,0, 1379,1379,422,'Germany',10,' ',1379,'Country','Country of observation','-',6,2664,1,0, 1380,1380,422,'Greece',11,' ',1380,'Country','Country of observation','-',6,2664,1,0, 1381,1381,422,'Hungary',12,' ',1381,'Country','Country of observation','-',6,2664,1,0, 1382,1382,422,'Ireland',13,' ',1382,'Country','Country of observation','-',6,2664,1,0, 1383,1383,422,'Italy',14,' ',1383,'Country','Country of observation','-',6,2664,1,0, 1384,1384,422,'Latvia',15,' ',1384,'Country','Country of observation','-',6,2664,1,0, 1385,1385,422,'Luxembourg',16,' ',1385,'Country','Country of observation','-',6,2664,1,0, 1386,1386,422,'Malta',17,' ',1386,'Country','Country of observation','-',6,2664,1,0, 1387,1387,422,'Netherlands',18,' ',1387,'Country','Country of observation','-',6,2664,1,0, 1388,1388,422,'Poland',19,' ',1388,'Country','Country of observation','-',6,2664,1,0, 1389,1389,422,'Portugal',20,' ',1389,'Country','Country of observation','-',6,2664,1,0, 1390,1390,422,'Romania',21,' ',1390,'Country','Country of observation','-',6,2664,1,0, 1391,1391,422,'Slovakia',22,' ',1391,'Country','Country of observation','-',6,2664,1,0, 1392,1392,422,'Slovenia',23,' ',1392,'Country','Country of observation','-',6,2664,1,0, 1393,1393,422,'Spain',24,' ',1393,'Country','Country of observation','-',6,2664,1,0, 1394,1394,422,'Sweden',25,' ',1394,'Country','Country of observation','-',6,2664,1,0, 1395,1395,422,'United Kingdom',26,' ',1395,'Country','Country of observation','-',6,2664,1,0, 1396,1396,422,'EU ',27,' ',1396,'Country','Country of observation','-',6,2664,1,0, 1397,1397,423,'1970',1,' ',1397,'Year','Year of observation','a',6,2664,1,0, 1398,1398,423,'1971',2,' ',1398,'Year','Year of observation','a',6,2664,1,0, 1399,1399,423,'1972',3,' ',1399,'Year','Year of observation','a',6,2664,1,0, 1400,1400,423,'1973',4,' ',1400,'Year','Year of observation','a',6,2664,1,0, 1401,1401,423,'1974',5,' ',1401,'Year','Year of observation','a',6,2664,1,0, 1402,1402,423,'1975',6,' ',1402,'Year','Year of observation','a',6,2664,1,0, 1403,1403,423,'1976',7,' ',1403,'Year','Year of observation','a',6,2664,1,0, 1404,1404,423,'1977',8,' ',1404,'Year','Year of observation','a',6,2664,1,0, 1405,1405,423,'1978',9,' ',1405,'Year','Year of observation','a',6,2664,1,0, 1406,1406,423,'1979',10,' ',1406,'Year','Year of observation','a',6,2664,1,0, 1407,1407,423,'1980',11,' ',1407,'Year','Year of observation','a',6,2664,1,0, 1408,1408,423,'1981',12,' ',1408,'Year','Year of observation','a',6,2664,1,0, 1409,1409,423,'1982',13,' ',1409,'Year','Year of observation','a',6,2664,1,0, 1410,1410,423,'1983',14,' ',1410,'Year','Year of observation','a',6,2664,1,0, 1411,1411,423,'1984',15,' ',1411,'Year','Year of observation','a',6,2664,1,0, 1412,1412,423,'1985',16,' ',1412,'Year','Year of observation','a',6,2664,1,0, 1413,1413,423,'1986',17,' ',1413,'Year','Year of observation','a',6,2664,1,0, 1414,1414,423,'1987',18,' ',1414,'Year','Year of observation','a',6,2664,1,0, 1415,1415,423,'1988',19,' ',1415,'Year','Year of observation','a',6,2664,1,0, 1416,1416,423,'1989',20,' ',1416,'Year','Year of observation','a',6,2664,1,0, 1417,1417,423,'1990',21,' ',1417,'Year','Year of observation','a',6,2664,1,0, 1418,1418,423,'1991',22,' ',1418,'Year','Year of observation','a',6,2664,1,0, 1419,1419,423,'1992',23,' ',1419,'Year','Year of observation','a',6,2664,1,0, 1420,1420,423,'1993',24,' ',1420,'Year','Year of observation','a',6,2664,1,0, 1421,1421,423,'1994',25,' ',1421,'Year','Year of observation','a',6,2664,1,0, 1422,1422,423,'1995',26,' ',1422,'Year','Year of observation','a',6,2664,1,0, 1423,1423,423,'1996',27,' ',1423,'Year','Year of observation','a',6,2664,1,0, 1424,1424,423,'1997',28,' ',1424,'Year','Year of observation','a',6,2664,1,0, 1425,1425,423,'1998',29,' ',1425,'Year','Year of observation','a',6,2664,1,0, 1426,1426,423,'1999',30,' ',1426,'Year','Year of observation','a',6,2664,1,0, 1427,1427,423,'2000',31,' ',1427,'Year','Year of observation','a',6,2664,1,0, 1428,1428,423,'2001',32,' ',1428,'Year','Year of observation','a',6,2664,1,0, 1429,1429,423,'2002',33,' ',1429,'Year','Year of observation','a',6,2664,1,0, 1430,1430,423,'2003',34,' ',1430,'Year','Year of observation','a',6,2664,1,0, 1431,1431,423,'2004',35,' ',1431,'Year','Year of observation','a',6,2664,1,0, 1432,1432,423,'2005',36,' ',1432,'Year','Year of observation','a',6,2664,1,0, 1433,1433,423,'2006',37,' ',1433,'Year','Year of observation','a',6,2664,1,0, 1434,1434,423,'2007',38,' ',1434,'Year','Year of observation','a',6,2664,1,0, 1435,1435,424,'Male',1,' ',1435,'Sex','Sex of a person','-',6,2664,1,0, 1436,1436,424,'Female',2,' ',1436,'Sex','Sex of a person','-',6,2664,1,0, 1437,1437,424,'All',3,' ',1437,'Sex','Sex of a person','-',6,2664,1,0, 1438,1438,54,'Morbidity',1,' ',1438,'Parameter','Statistical and other parameters of a variable','-',2,0,0,0, 1455,1455,422,'Liechtenstein',17,'',1455,'Country','Country of observation','-',6,2664,1,0, 1456,1456,422,'Lithuania',18,'',1456,'Country','Country of observation','-',6,2664,1,0, 1467,1467,480,'1. Combustion installations',1,'',1467,'CITL sector','CITL sector','-',6,2664,1,0, 1468,1468,480,'2. Mineral oil refineries',2,'',1468,'CITL sector','CITL sector','-',6,2664,1,0, 1469,1469,480,'3. Coke ovens',3,'',1469,'CITL sector','CITL sector','-',6,2664,1,0, 1470,1470,480,'4. Metal ore roasting or sintering',4,'',1470,'CITL sector','CITL sector','-',6,2664,1,0, 1471,1471,480,'5. Pig iron or steel',5,'',1471,'CITL sector','CITL sector','-',6,2664,1,0, 1472,1472,480,'6. Cement clinker or lime',6,'',1472,'CITL sector','CITL sector','-',6,2664,1,0, 1473,1473,480,'7. Glass including glass fibre',7,'',1473,'CITL sector','CITL sector','-',6,2664,1,0, 1474,1474,480,'8. Ceramic products by firing',8,'',1474,'CITL sector','CITL sector','-',6,2664,1,0, 1475,1475,480,'9. Pulp, paper and board',9,'',1475,'CITL sector','CITL sector','-',6,2664,1,0, 1476,1476,480,'99. Other activity opted-in',10,'',1476,'CITL sector','CITL sector','-',6,2664,1,0, 1477,1477,481,'Allocated allowances',1,'',1477,'CITL_information','CITL information','-',6,2664,1,0, 1478,1478,481,'Surrendered allowances',2,'',1478,'CITL_information','CITL information','-',6,2664,1,0, 1479,1479,481,'Verified emissions',3,'',1479,'CITL_information','CITL information','-',6,2664,1,0, 1483,1483,423,'2008',4,'',1483,'Year','Year of observation','a',6,2664,1,0, 1484,1484,54,'ETS data',1,'',1484,'Parameter','Statistical and other parameters of a variable','-',2,0,0,0, 1488,1488,493,'All causes',1,'',1488,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1489,1489,493,'Infectious and parasitic diseases',2,'',1489,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1490,1490,493,'Typhoid and paratyphoid fever',3,'',1490,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1491,1491,493,'Other intestinal infectious diseases',4,'',1491,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1492,1492,493,'Tuberculosis of respiratory system',5,'',1492,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1493,1493,493,'Tuberculosis other forms',6,'',1493,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1494,1494,493,'Whooping cough',7,'',1494,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1495,1495,493,'Meningococcal infection',8,'',1495,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1496,1496,493,'Tetanus',9,'',1496,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1497,1497,493,'Septicaemia',10,'',1497,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1498,1498,493,'Other bacterial diseases',11,'',1498,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1499,1499,493,'Measles',12,'',1499,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1500,1500,493,'HIV disease',13,'',1500,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1501,1501,493,'Other viral diseases',14,'',1501,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1502,1502,493,'Malaria',15,'',1502,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1503,1503,493,'Other arthropod-borne diseases',16,'',1503,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1504,1504,493,'Sexually transmitted diseases',17,'',1504,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1505,1505,493,'Other infectious and parasitic diseases',18,'',1505,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1506,1506,493,'Malignant neoplasms',19,'',1506,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1507,1507,493,'Malignant neoplasm of lip oral cavity and pharynx',20,'',1507,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1508,1508,493,'Malignant neoplasm of oesophagus',21,'',1508,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1509,1509,493,'Malignant neoplasm of stomach',22,'',1509,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1510,1510,493,'Malignant neoplasm of colon',23,'',1510,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1511,1511,493,'Malignant neoplasm of rectum rectosigmoid junction and anus',24,'',1511,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1512,1512,493,'Malignant neoplasm of liver',25,'',1512,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1513,1513,493,'Malignant neoplasm of larynx',26,'',1513,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1514,1514,493,'Malignant neoplasm of trachea bronchus and lung',27,'',1514,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1515,1515,493,'Malignant neoplasm of breast',28,'',1515,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1516,1516,493,'Malignant neoplasm of cervix uteri',29,'',1516,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1517,1517,493,'Malignant neoplasm of uterus other and unspecified',30,'',1517,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1518,1518,493,'Malignant neoplasm of prostate',31,'',1518,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1519,1519,493,'Malignant neoplasm of bladder',32,'',1519,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1520,1520,493,'Malignant neoplasm of other sites',33,'',1520,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1521,1521,493,'Leukaemia',34,'',1521,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1522,1522,493,'Other malignant neoplasms of lymphoid and haematopoietic and related tissue',35,'',1522,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1523,1523,493,'Benign neoplasm other and unspecified neoplasm',36,'',1523,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1524,1524,493,'Diabetes mellitus',37,'',1524,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1525,1525,493,'Other endocrine and metabolic diseases',38,'',1525,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1526,1526,493,'Malnutrition',39,'',1526,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1527,1527,493,'Other nutritional deficiencies',40,'',1527,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1528,1528,493,'Anaemias',41,'',1528,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1529,1529,493,'Other diseases of blood and blood-forming organs',42,'',1529,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1530,1530,493,'Mental disorders',43,'',1530,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1531,1531,493,'Meningitis',44,'',1531,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1532,1532,493,'Multiple sclerosis',45,'',1532,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1533,1533,493,'Epilepsy',46,'',1533,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1534,1534,493,'Other diseases of the nervous system and sense organs',47,'',1534,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1535,1535,493,'Diseases of the circulatory system',48,'',1535,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1536,1536,493,'Acute rheumatic fever',49,'',1536,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1537,1537,493,'Chronic rheumatic heart disease',50,'',1537,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1538,1538,493,'Hypertensive disease',51,'',1538,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1539,1539,493,'Acute myocardial infarction',52,'',1539,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1540,1540,493,'Other ischaemic heart diseases',53,'',1540,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1541,1541,493,'Diseases of pulmonary circulation and other forms of heart disease',54,'',1541,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1542,1542,493,'Cerebrovascular disease',55,'',1542,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1543,1543,493,'Atherosclerosis',56,'',1543,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1544,1544,493,'Embolism thrombosis and other diseases of arteries arterioles and capillaries',57,'',1544,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1545,1545,493,'Phlebitis thrombophlebitis venous embolism and thrombosis',58,'',1545,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1546,1546,493,'Other diseases of the circulatory system',59,'',1546,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1547,1547,493,'Acute upper respiratory infection',60,'',1547,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1548,1548,493,'Acute bronchitis and bronchiolitis',61,'',1548,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1549,1549,493,'Pneumonia',62,'',1549,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1550,1550,493,'Influenza',63,'',1550,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1551,1551,493,'Bronchitis chronic and unspecified emphysema and asthma',64,'',1551,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1552,1552,493,'Other diseases of the respiratory system',65,'',1552,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1553,1553,493,'Ulcer of stomach and duodenum',66,'',1553,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1554,1554,493,'Appendicitis',67,'',1554,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1555,1555,493,'Hernia of abdominal cavity and intestinal obstruction',68,'',1555,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1556,1556,493,'Chronic liver disease and cirrhosis',69,'',1556,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1557,1557,493,'Other diseases of the digestive system',70,'',1557,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1558,1558,493,'Nephritis nephrotic syndrome and nephrosis',71,'',1558,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1559,1559,493,'Infections of kidney',72,'',1559,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1560,1560,493,'Hyperplasia of prostate',73,'',1560,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1561,1561,493,'Other diseases of the genitourinary system',74,'',1561,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1562,1562,493,'Abortion',75,'',1562,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1563,1563,493,'Haemorrhage of pregnancy and childbirth',76,'',1563,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1564,1564,493,'Toxaemia of pregnancy',77,'',1564,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1565,1565,493,'Complications of the puerperium',78,'',1565,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1566,1566,493,'Other direct obstetric causes',79,'',1566,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1567,1567,493,'Indirect obstetric causes',80,'',1567,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1568,1568,493,'Diseases of skin and subcutaneous tissue',81,'',1568,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1569,1569,493,'Diseases of the musculoskeletal system and connective tissue',82,'',1569,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1570,1570,493,'Spina bifida and hydrocephalus',83,'',1570,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1571,1571,493,'Congenital anomalies of the circulatory system',84,'',1571,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1572,1572,493,'Other congenital anomalies',85,'',1572,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1573,1573,493,'Birth trauma',86,'',1573,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1574,1574,493,'Other conditions originating in the perinatal period',87,'',1574,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1575,1575,493,'Senility',88,'',1575,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1576,1576,493,'Signs symptoms and other ill-defined conditions',89,'',1576,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1577,1577,493,'Accidents and adverse effects',90,'',1577,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1578,1578,493,'Motor vehicle traffic accidents',91,'',1578,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1579,1579,493,'Other transport accidents',92,'',1579,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1580,1580,493,'Accidental poisoning',93,'',1580,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1581,1581,493,'Accidental falls',94,'',1581,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1582,1582,493,'Accidents caused by fire and flames',95,'',1582,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1583,1583,493,'Accidental drowning and submersion',96,'',1583,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1584,1584,493,'Accidents caused by machinery and by cutting and piercing instruments',97,'',1584,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1585,1585,493,'Accidents caused by firearm missile',98,'',1585,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1586,1586,493,'All other accidents including late effects',99,'',1586,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1587,1587,493,'Drugs medicaments causing adverse effects in therapeutic use',100,'',1587,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1588,1588,493,'Suicide and self- inflicted injury',101,'',1588,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1589,1589,493,'Homicide and injury purposely inflicted by other persons',102,'',1589,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1590,1590,493,'Other external causes',103,'',1590,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1591,1591,48,'All Ages',1,'',1591,'Age','Age','a',2,2497,1,0, 1592,1592,48,'Under 1',2,'',1592,'Age','Age','a',2,2497,1,0, 1593,1593,48,'1 to 4',3,'',1593,'Age','Age','a',2,2497,1,0, 1594,1594,48,'5 to 14',4,'',1594,'Age','Age','a',2,2497,1,0, 1595,1595,48,'15 to 24',5,'',1595,'Age','Age','a',2,2497,1,0, 1596,1596,48,'25 to 34',6,'',1596,'Age','Age','a',2,2497,1,0, 1597,1597,48,'35 to 44',7,'',1597,'Age','Age','a',2,2497,1,0, 1598,1598,48,'45 to 54',8,'',1598,'Age','Age','a',2,2497,1,0, 1599,1599,48,'55 to 64',9,'',1599,'Age','Age','a',2,2497,1,0, 1600,1600,48,'65 to 74',10,'',1600,'Age','Age','a',2,2497,1,0, 1601,1601,48,'Over 75',11,'',1601,'Age','Age','a',2,2497,1,0, 1603,1603,496,'# deaths',1,'',1603,'Parameter1','’Parameter','# or 1/100000 py',6,2664,1,0, 1604,1604,496,'Mortality',2,'',1604,'Parameter1','’Parameter','# or 1/100000 py',6,2664,1,0, 1605,1605,422,'Seychelles',1,'',1605,'Country','Country of observation','-',6,2664,1,0, 1606,1606,422,'Brunei Darussalam',2,'',1606,'Country','Country of observation','-',6,2664,1,0, 1621,1621,493,'1000',1,'',1621,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1622,1622,493,'1001',2,'',1622,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1623,1623,493,'1002',3,'',1623,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1624,1624,493,'1003',4,'',1624,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1625,1625,493,'1004',5,'',1625,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1626,1626,493,'1005',6,'',1626,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1627,1627,493,'1006',7,'',1627,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1628,1628,493,'1007',8,'',1628,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1629,1629,493,'1008',9,'',1629,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1630,1630,493,'1009',10,'',1630,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1631,1631,493,'1010',11,'',1631,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1632,1632,493,'1011',12,'',1632,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1633,1633,493,'1012',13,'',1633,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1634,1634,493,'1013',14,'',1634,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1635,1635,493,'1014',15,'',1635,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1636,1636,493,'1015',16,'',1636,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1637,1637,493,'1016',17,'',1637,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1638,1638,493,'1017',18,'',1638,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1639,1639,493,'1018',19,'',1639,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1640,1640,493,'1019',20,'',1640,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1641,1641,493,'1020',21,'',1641,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1642,1642,493,'1021',22,'',1642,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1643,1643,493,'1022',23,'',1643,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1644,1644,493,'1023',24,'',1644,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1645,1645,493,'1024',25,'',1645,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1646,1646,493,'1025',26,'',1646,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1647,1647,493,'1026',27,'',1647,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1648,1648,493,'1027',28,'',1648,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1649,1649,493,'1028',29,'',1649,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1650,1650,493,'1029',30,'',1650,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1651,1651,493,'1030',31,'',1651,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1652,1652,493,'1031',32,'',1652,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1653,1653,493,'1032',33,'',1653,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1654,1654,493,'1033',34,'',1654,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1655,1655,493,'1034',35,'',1655,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1656,1656,493,'1035',36,'',1656,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1657,1657,493,'1036',37,'',1657,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1658,1658,493,'1037',38,'',1658,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1659,1659,493,'1038',39,'',1659,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1660,1660,493,'1039',40,'',1660,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1661,1661,493,'1040',41,'',1661,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1662,1662,493,'1041',42,'',1662,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1663,1663,493,'1042',43,'',1663,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1664,1664,493,'1043',44,'',1664,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1665,1665,493,'1044',45,'',1665,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1666,1666,493,'1045',46,'',1666,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1667,1667,493,'1046',47,'',1667,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1668,1668,493,'1047',48,'',1668,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1669,1669,493,'1048',49,'',1669,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1670,1670,493,'1049',50,'',1670,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1671,1671,493,'1050',51,'',1671,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1672,1672,493,'1051',52,'',1672,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1673,1673,493,'1052',53,'',1673,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1674,1674,493,'1053',54,'',1674,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1675,1675,493,'1054',55,'',1675,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1676,1676,493,'1055',56,'',1676,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1677,1677,493,'1056',57,'',1677,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1678,1678,493,'1057',58,'',1678,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1679,1679,493,'1058',59,'',1679,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1680,1680,493,'1059',60,'',1680,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1681,1681,493,'1060',61,'',1681,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1682,1682,493,'1061',62,'',1682,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1683,1683,493,'1062',63,'',1683,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1684,1684,493,'1063',64,'',1684,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1685,1685,493,'1064',65,'',1685,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1686,1686,493,'1065',66,'',1686,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1687,1687,493,'1066',67,'',1687,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1688,1688,493,'1067',68,'',1688,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1689,1689,493,'1068',69,'',1689,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1690,1690,493,'1069',70,'',1690,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1691,1691,493,'1070',71,'',1691,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1692,1692,493,'1071',72,'',1692,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1693,1693,493,'1072',73,'',1693,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1694,1694,493,'1073',74,'',1694,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1695,1695,493,'1074',75,'',1695,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1696,1696,493,'1075',76,'',1696,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1697,1697,493,'1076',77,'',1697,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1698,1698,493,'1077',78,'',1698,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1699,1699,493,'1078',79,'',1699,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1700,1700,493,'1079',80,'',1700,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1701,1701,493,'1080',81,'',1701,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1702,1702,493,'1081',82,'',1702,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1703,1703,493,'1082',83,'',1703,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1704,1704,493,'1083',84,'',1704,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1705,1705,493,'1084',85,'',1705,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1706,1706,493,'1085',86,'',1706,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1707,1707,493,'1086',87,'',1707,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1708,1708,493,'1087',88,'',1708,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1709,1709,493,'1088',89,'',1709,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1710,1710,493,'1089',90,'',1710,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1711,1711,493,'1090',91,'',1711,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1712,1712,493,'1091',92,'',1712,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1713,1713,493,'1092',93,'',1713,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1714,1714,493,'1093',94,'',1714,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1715,1715,493,'1094',95,'',1715,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1716,1716,493,'1095',96,'',1716,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1717,1717,493,'1096',97,'',1717,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1718,1718,493,'1097',98,'',1718,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1719,1719,493,'1098',99,'',1719,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1720,1720,493,'1099',100,'',1720,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1721,1721,493,'1100',101,'',1721,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1722,1722,493,'1101',102,'',1722,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1723,1723,493,'1102',103,'',1723,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1724,1724,493,'1103',104,'',1724,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 1729,1729,48,'1-4',1,'',1729,'Age','Age','a',2,2497,1,0, 1730,1730,48,'5-14',2,'',1730,'Age','Age','a',2,2497,1,0, 1731,1731,48,'15-24',3,'',1731,'Age','Age','a',2,2497,1,0, 1732,1732,48,'25-34',4,'',1732,'Age','Age','a',2,2497,1,0, 1733,1733,48,'35-44',5,'',1733,'Age','Age','a',2,2497,1,0, 1734,1734,48,'45-54',6,'',1734,'Age','Age','a',2,2497,1,0, 1735,1735,48,'55-64',7,'',1735,'Age','Age','a',2,2497,1,0, 1736,1736,48,'65-74',8,'',1736,'Age','Age','a',2,2497,1,0, 1737,1737,48,'75 &+',9,'',1737,'Age','Age','a',2,2497,1,0, 1738,1738,48,'Unknown',10,'',1738,'Age','Age','a',2,2497,1,0, 1740,1740,48,'0',12,'',1740,'Age','Age','a',2,2497,1,0, 1741,1741,48,'1',13,'',1741,'Age','Age','a',2,2497,1,0, 1742,1742,48,'2',14,'',1742,'Age','Age','a',2,2497,1,0, 1743,1743,48,'3',15,'',1743,'Age','Age','a',2,2497,1,0, 1744,1744,48,'4',16,'',1744,'Age','Age','a',2,2497,1,0, 1745,1745,48,'5-9',17,'',1745,'Age','Age','a',2,2497,1,0, 1746,1746,48,'10-14',18,'',1746,'Age','Age','a',2,2497,1,0, 1747,1747,48,'15-19',19,'',1747,'Age','Age','a',2,2497,1,0, 1748,1748,48,'20-24',20,'',1748,'Age','Age','a',2,2497,1,0, 1749,1749,48,'25-29',21,'',1749,'Age','Age','a',2,2497,1,0, 1750,1750,48,'30-34',22,'',1750,'Age','Age','a',2,2497,1,0, 1751,1751,48,'35-39',23,'',1751,'Age','Age','a',2,2497,1,0, 1752,1752,48,'40-44',24,'',1752,'Age','Age','a',2,2497,1,0, 1753,1753,48,'45-49',25,'',1753,'Age','Age','a',2,2497,1,0, 1754,1754,48,'50-54',26,'',1754,'Age','Age','a',2,2497,1,0, 1755,1755,48,'55-59',27,'',1755,'Age','Age','a',2,2497,1,0, 1756,1756,48,'60-64',28,'',1756,'Age','Age','a',2,2497,1,0, 1757,1757,48,'65-69',29,'',1757,'Age','Age','a',2,2497,1,0, 1758,1758,48,'70-74',30,'',1758,'Age','Age','a',2,2497,1,0, 1759,1759,48,'75-79',31,'',1759,'Age','Age','a',2,2497,1,0, 1760,1760,48,'80-84',32,'',1760,'Age','Age','a',2,2497,1,0, 1761,1761,48,'85 &+',33,'',1761,'Age','Age','a',2,2497,1,0, 1763,1763,54,'Deaths',1,'',1763,'Parameter','Statistical and other parameters of a variable','-',2,0,0,0, 1764,1764,36,'PM',1,'',1764,'Pollutant','Pollutant','-',2,2493,1,0, 1765,1765,36,'CO2',2,'',1765,'Pollutant','Pollutant','-',2,2493,1,0, 1766,1766,43,'Bus',1,'',1766,'Vehicle_type','Vehicle type','-',2,0,0,0, 1767,1767,43,'Minibus',2,'',1767,'Vehicle_type','Vehicle type','-',2,0,0,0, 1768,1768,43,'Car (d)',3,'',1768,'Vehicle_type','Vehicle type','-',2,0,0,0, 1769,1769,43,'Car (g)',4,'',1769,'Vehicle_type','Vehicle type','-',2,0,0,0, 1770,1770,539,'Injuries',1,'',1770,'Accidents','Accident type','-',6,2664,1,0, 1771,1771,539,'Deaths',2,'',1771,'Accidents','Accident type','-',6,2664,1,0, 1775,1775,567,' 6.00-20.00',1,'',1775,'Period1','Different times of day','h',6,2664,1,0, 1776,1776,567,'20.00-24.00',2,'',1776,'Period1','Different times of day','h',6,2664,1,0, 1777,1777,567,' 0.00- 6.00',3,'',1777,'Period1','Different times of day','h',6,2664,1,0, 1778,1778,570,'0',1,'',1778,'Hour','Hour of day','h',6,2664,1,0, 1779,1779,570,'1',2,'',1779,'Hour','Hour of day','h',6,2664,1,0, 1780,1780,570,'2',3,'',1780,'Hour','Hour of day','h',6,2664,1,0, 1781,1781,570,'3',4,'',1781,'Hour','Hour of day','h',6,2664,1,0, 1782,1782,570,'4',5,'',1782,'Hour','Hour of day','h',6,2664,1,0, 1783,1783,570,'5',6,'',1783,'Hour','Hour of day','h',6,2664,1,0, 1784,1784,570,'6',7,'',1784,'Hour','Hour of day','h',6,2664,1,0, 1785,1785,570,'7',8,'',1785,'Hour','Hour of day','h',6,2664,1,0, 1786,1786,570,'8',9,'',1786,'Hour','Hour of day','h',6,2664,1,0, 1787,1787,570,'9',10,'',1787,'Hour','Hour of day','h',6,2664,1,0, 1788,1788,570,'10',11,'',1788,'Hour','Hour of day','h',6,2664,1,0, 1789,1789,570,'11',12,'',1789,'Hour','Hour of day','h',6,2664,1,0, 1790,1790,570,'12',13,'',1790,'Hour','Hour of day','h',6,2664,1,0, 1791,1791,570,'13',14,'',1791,'Hour','Hour of day','h',6,2664,1,0, 1792,1792,570,'14',15,'',1792,'Hour','Hour of day','h',6,2664,1,0, 1793,1793,570,'15',16,'',1793,'Hour','Hour of day','h',6,2664,1,0, 1794,1794,570,'16',17,'',1794,'Hour','Hour of day','h',6,2664,1,0, 1795,1795,570,'17',18,'',1795,'Hour','Hour of day','h',6,2664,1,0, 1796,1796,570,'18',19,'',1796,'Hour','Hour of day','h',6,2664,1,0, 1797,1797,570,'19',20,'',1797,'Hour','Hour of day','h',6,2664,1,0, 1798,1798,570,'20',21,'',1798,'Hour','Hour of day','h',6,2664,1,0, 1799,1799,570,'21',22,'',1799,'Hour','Hour of day','h',6,2664,1,0, 1800,1800,570,'22',23,'',1800,'Hour','Hour of day','h',6,2664,1,0, 1801,1801,570,'23',24,'',1801,'Hour','Hour of day','h',6,2664,1,0, 1802,1802,54,'Fraction',1,'',1802,'Parameter','Statistical and other parameters of a variable','-',2,0,0,0, 1803,1803,422,'BE',1,'',1803,'Country','Country of observation','-',6,2664,1,0, 1804,1804,422,'BG',2,'',1804,'Country','Country of observation','-',6,2664,1,0, 1805,1805,422,'CZ',3,'',1805,'Country','Country of observation','-',6,2664,1,0, 1806,1806,422,'DK',4,'',1806,'Country','Country of observation','-',6,2664,1,0, 1807,1807,422,'DE',5,'',1807,'Country','Country of observation','-',6,2664,1,0, 1808,1808,422,'EE',6,'',1808,'Country','Country of observation','-',6,2664,1,0, 1809,1809,422,'IE',7,'',1809,'Country','Country of observation','-',6,2664,1,0, 1810,1810,422,'EL',8,'',1810,'Country','Country of observation','-',6,2664,1,0, 1811,1811,422,'ES',9,'',1811,'Country','Country of observation','-',6,2664,1,0, 1812,1812,422,'FR',10,'',1812,'Country','Country of observation','-',6,2664,1,0, 1813,1813,422,'IT',11,'',1813,'Country','Country of observation','-',6,2664,1,0, 1814,1814,422,'CY',12,'',1814,'Country','Country of observation','-',6,2664,1,0, 1815,1815,422,'LV',13,'',1815,'Country','Country of observation','-',6,2664,1,0, 1816,1816,422,'LT',14,'',1816,'Country','Country of observation','-',6,2664,1,0, 1817,1817,422,'LU',15,'',1817,'Country','Country of observation','-',6,2664,1,0, 1818,1818,422,'HU',16,'',1818,'Country','Country of observation','-',6,2664,1,0, 1819,1819,422,'MT',17,'',1819,'Country','Country of observation','-',6,2664,1,0, 1820,1820,422,'NL',18,'',1820,'Country','Country of observation','-',6,2664,1,0, 1821,1821,422,'AT',19,'',1821,'Country','Country of observation','-',6,2664,1,0, 1822,1822,422,'PL',20,'',1822,'Country','Country of observation','-',6,2664,1,0, 1823,1823,422,'PT',21,'',1823,'Country','Country of observation','-',6,2664,1,0, 1824,1824,422,'RO',22,'',1824,'Country','Country of observation','-',6,2664,1,0, 1825,1825,422,'SI',23,'',1825,'Country','Country of observation','-',6,2664,1,0, 1826,1826,422,'SK',24,'',1826,'Country','Country of observation','-',6,2664,1,0, 1827,1827,422,'FI',25,'',1827,'Country','Country of observation','-',6,2664,1,0, 1828,1828,422,'SE',26,'',1828,'Country','Country of observation','-',6,2664,1,0, 1829,1829,422,'UK',27,'',1829,'Country','Country of observation','-',6,2664,1,0, 1884,1884,609,'BAU',1,'',1884,'Pesticide_regulation','Pesticide regulation in Europe','-',6,2664,1,0, 1885,1885,609,'Strict regulation',2,'',1885,'Pesticide_regulation','Pesticide regulation in Europe','-',6,2664,1,0, 1968,1968,611,'BAU',1,'',1968,'Meat_consumption','Meat consumption in Europe','-',6,2664,1,0, 1969,1969,611,'Low',2,'',1969,'Meat_consumption','Meat consumption in Europe','-',6,2664,1,0, 1970,1970,612,'Beef',1,'',1970,'Animal','Farm animal species','-',6,2664,1,0, 1971,1971,612,'Pork',2,'',1971,'Animal','Farm animal species','-',6,2664,1,0, 1972,1972,612,'Poultry',3,'',1972,'Animal','Farm animal species','-',6,2664,1,0, 1973,1973,612,'Sheep',4,'',1973,'Animal','Farm animal species','-',6,2664,1,0, 2093,2093,613,'Urine',1,'',2093,'Waste','Livestock waste type','-',6,2664,1,0, 2094,2094,613,'Manure',2,'',2094,'Waste','Livestock waste type','-',6,2664,1,0, 2097,2097,54,'B1',1,'',2097,'Parameter','Statistical and other parameters of a variable','-',2,0,0,0, 2098,2098,637,'A2',1,'',2098,'A1','Testindex','-',6,2664,1,0, 2099,2099,637,'A3',2,'',2099,'A1','Testindex','-',6,2664,1,0, 2156,2156,665,'Dieldrin',1,'',2156,'Pesticide','','',6,2664,1,0, 2159,2159,610,'BAU',1,'',2159,'Irrigation_practices','Irrigation practices of agricultural land in Europe','-',6,2664,1,0, 2160,2160,610,'Efficient',2,'',2160,'Irrigation_practices','Irrigation practices of agricultural land in Europe','-',6,2664,1,0, 2161,2161,671,'BAU',1,'',2161,'Biofuels','Pesticide regulation in Europe','-',6,2664,1,0, 2162,2162,671,'20 % of traffic fuels',2,'',2162,'Biofuels','Pesticide regulation in Europe','-',6,2664,1,0, 2163,2163,682,'item 1',1,'',2163,'Testindex','Testindex','kg',6,2664,1,0, 2176,2176,493,'AAA',1,'',2176,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2177,2177,493,'A00-B99 ',2,'',2177,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2178,2178,493,'A00 ',3,'',2178,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2179,2179,493,'A09 ',4,'',2179,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2180,2180,493,'A01-A08 ',5,'',2180,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2181,2181,493,'A15-A16 ',6,'',2181,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2182,2182,493,'A17-A19 ',7,'',2182,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2183,2183,493,'A20 ',8,'',2183,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2184,2184,493,'A33-A35 ',9,'',2184,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2185,2185,493,'A36 ',10,'',2185,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2186,2186,493,'A37 ',11,'',2186,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2187,2187,493,'A39 ',12,'',2187,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2188,2188,493,'A40-A41 ',13,'',2188,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2189,2189,493,'A50-A64 ',14,'',2189,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2190,2190,493,'A80 ',15,'',2190,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2191,2191,493,'A82 ',16,'',2191,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2192,2192,493,'A95 ',17,'',2192,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2193,2193,493,'A90-A94, A96-A99 ',18,'',2193,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2194,2194,493,'B05 ',19,'',2194,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2195,2195,493,'B15-B19 ',20,'',2195,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2196,2196,493,'B20-B24 ',21,'',2196,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2197,2197,493,'B50-B54 ',22,'',2197,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2198,2198,493,'B55 ',23,'',2198,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2199,2199,493,'B56-B57 ',24,'',2199,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2200,2200,493,'B65 ',25,'',2200,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2201,2201,493,'A21-A32, A38, A42-A49, A65-A79, A81, A83-A89, B00-B04, B06-B09, B25-B49, B58-B64, B66-B94, B99 ',26,'',2201,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2202,2202,493,'C00-D48 ',27,'',2202,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2203,2203,493,'C00-C14 ',28,'',2203,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2204,2204,493,'C15 ',29,'',2204,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2205,2205,493,'C16 ',30,'',2205,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2206,2206,493,'C18-C21 ',31,'',2206,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2207,2207,493,'C22 ',32,'',2207,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2208,2208,493,'C25 ',33,'',2208,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2209,2209,493,'C32 ',34,'',2209,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2210,2210,493,'C33-C34 ',35,'',2210,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2211,2211,493,'C43 ',36,'',2211,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2212,2212,493,'C50 ',37,'',2212,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2213,2213,493,'C53 ',38,'',2213,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2214,2214,493,'C54-C55 ',39,'',2214,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2215,2215,493,'C56 ',40,'',2215,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2216,2216,493,'C61 ',41,'',2216,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2217,2217,493,'C67 ',42,'',2217,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2218,2218,493,'C70-C72 ',43,'',2218,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2219,2219,493,'C82-C85 ',44,'',2219,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2220,2220,493,'C90 ',45,'',2220,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2221,2221,493,'C91-C95 ',46,'',2221,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2222,2222,493,'C17, C23-C24, C26-C31, C37-C41, C44-C49, C51-C52, C57-C60, C62-C66,C68-C69,C73-C81,C88,C96-C97 ',47,'',2222,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2223,2223,493,'D00-D48 ',48,'',2223,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2224,2224,493,'D50-D89 ',49,'',2224,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2225,2225,493,'D50-D64 ',50,'',2225,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2226,2226,493,'D65-D89 ',51,'',2226,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2227,2227,493,'E00-E88 ',52,'',2227,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2228,2228,493,'E10-E14 ',53,'',2228,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2229,2229,493,'E40-E46 ',54,'',2229,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2230,2230,493,'E00-E07, E15-E34, E50-E88 ',55,'',2230,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2231,2231,493,'F01-F99 ',56,'',2231,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2232,2232,493,'F10-F19 ',57,'',2232,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2233,2233,493,'F20-F99 ',58,'',2233,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2234,2234,493,'G00-G98 ',59,'',2234,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2235,2235,493,'G00, G03 ',60,'',2235,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2236,2236,493,'G30 ',61,'',2236,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2237,2237,493,'G04-G25, G31-G98 ',62,'',2237,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2238,2238,493,'H00-H57 ',63,'',2238,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2239,2239,493,'H60-H93 ',64,'',2239,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2240,2240,493,'I00-I99 ',65,'',2240,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2241,2241,493,'I00-I09 ',66,'',2241,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2242,2242,493,'I10-I13 ',67,'',2242,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2243,2243,493,'I20-I25 ',68,'',2243,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2244,2244,493,'I26-I51 ',69,'',2244,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2245,2245,493,'I60-I69 ',70,'',2245,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2246,2246,493,'I70 ',71,'',2246,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2247,2247,493,'I71-I99 ',72,'',2247,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2248,2248,493,'J00-J98 ',73,'',2248,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2249,2249,493,'J10-J11 ',74,'',2249,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2250,2250,493,'J12-J18 ',75,'',2250,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2251,2251,493,'J20-J22 ',76,'',2251,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2252,2252,493,'J40-J47 ',77,'',2252,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2253,2253,493,'J00-J06, J30-J39, J60-J98 ',78,'',2253,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2254,2254,493,'K00-K92 ',79,'',2254,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2255,2255,493,'K25-K27 ',80,'',2255,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2256,2256,493,'K70-K76 ',81,'',2256,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2257,2257,493,'K00-K22, K28-K66, K80-K92 ',82,'',2257,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2258,2258,493,'L00-L98 ',83,'',2258,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2259,2259,493,'M00-M99 ',84,'',2259,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2260,2260,493,'N00-N98 ',85,'',2260,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2261,2261,493,'N00-N15 ',86,'',2261,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2262,2262,493,'N17-N98 ',87,'',2262,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2263,2263,493,'O00-O99 ',88,'',2263,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2264,2264,493,'O00-O07 ',89,'',2264,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2265,2265,493,'O10-O92 ',90,'',2265,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2266,2266,493,'O98-O99 ',91,'',2266,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2267,2267,493,'O95-O97 ',92,'',2267,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2268,2268,493,'P00-P96 ',93,'',2268,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2269,2269,493,'Q00-Q99 ',94,'',2269,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2270,2270,493,'R00-R99 ',95,'',2270,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2271,2271,493,'V01-Y89 ',96,'',2271,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2272,2272,493,'V01-V99 ',97,'',2272,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2273,2273,493,'W00-W19 ',98,'',2273,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2274,2274,493,'W65-W74 ',99,'',2274,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2275,2275,493,'X00-X09 ',100,'',2275,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2276,2276,493,'X40-X49 ',101,'',2276,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2277,2277,493,'X60-X84 ',102,'',2277,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2278,2278,493,'X85-Y09 ',103,'',2278,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2279,2279,493,'W20-W64, W75-W99, X10-X39, X50-X59, Y10-Y89 ',104,'',2279,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 2282,2282,48,'0-365 days',1,'',2282,'Age','Age','a',2,2497,1,0, 2283,2283,48,'0 day',2,'',2283,'Age','Age','a',2,2497,1,0, 2284,2284,48,'1-6 days',3,'',2284,'Age','Age','a',2,2497,1,0, 2285,2285,48,'7-27 days',4,'',2285,'Age','Age','a',2,2497,1,0, 2286,2286,48,'28-365 days',5,'',2286,'Age','Age','a',2,2497,1,0, 2166,2166,424,'Unspecified',3,'',2166,'Sex','Sex of a person','-',6,2664,1,0, 2167,2167,422,'Algeria',1,'',2167,'Country','Country of observation','-',6,2664,1,0, 2168,2168,422,'Angola',2,'',2168,'Country','Country of observation','-',6,2664,1,0, 2169,2169,422,'Benin',3,'',2169,'Country','Country of observation','-',6,2664,1,0, 2170,2170,422,'Botswana',4,'',2170,'Country','Country of observation','-',6,2664,1,0, 2171,2171,422,'Burkina Faso',5,'',2171,'Country','Country of observation','-',6,2664,1,0, 2172,2172,422,'Burundi',6,'',2172,'Country','Country of observation','-',6,2664,1,0, 2173,2173,422,'Cameroon',7,'',2173,'Country','Country of observation','-',6,2664,1,0, 2174,2174,422,'Cape Verde',8,'',2174,'Country','Country of observation','-',6,2664,1,0, 2175,2175,422,'Central African Republic',9,'',2175,'Country','Country of observation','-',6,2664,1,0, 2281,2281,422,'Democratic Peoples’s Republic of Korea',115,'',2281,'Country','Country of observation','-',6,2664,1,0, 2287,2287,422,'Israel',121,'',2287,'Country','Country of observation','-',6,2664,1,0, 2288,2288,422,'Japan',122,'',2288,'Country','Country of observation','-',6,2664,1,0, 2289,2289,422,'Jordan',123,'',2289,'Country','Country of observation','-',6,2664,1,0, 2290,2290,422,'Kuwait',124,'',2290,'Country','Country of observation','-',6,2664,1,0, 2291,2291,422,'Lao People’s Democratic Republic',125,'',2291,'Country','Country of observation','-',6,2664,1,0, 2292,2292,422,'Lebanon',126,'',2292,'Country','Country of observation','-',6,2664,1,0, 2293,2293,422,'Macau',127,'',2293,'Country','Country of observation','-',6,2664,1,0, 2294,2294,422,'Malaysia',128,'',2294,'Country','Country of observation','-',6,2664,1,0, 2295,2295,422,'Maldives',129,'',2295,'Country','Country of observation','-',6,2664,1,0, 2296,2296,422,'Mongolia',130,'',2296,'Country','Country of observation','-',6,2664,1,0, 2297,2297,422,'Myanmar',131,'',2297,'Country','Country of observation','-',6,2664,1,0, 2298,2298,422,'Nepal',132,'',2298,'Country','Country of observation','-',6,2664,1,0, 2299,2299,422,'Oman',133,'',2299,'Country','Country of observation','-',6,2664,1,0, 2300,2300,422,'Pakistan',134,'',2300,'Country','Country of observation','-',6,2664,1,0, 2301,2301,422,'Philippines',135,'',2301,'Country','Country of observation','-',6,2664,1,0, 2302,2302,422,'Qatar',136,'',2302,'Country','Country of observation','-',6,2664,1,0, 2303,2303,422,'Republic of Korea',137,'',2303,'Country','Country of observation','-',6,2664,1,0, 2304,2304,422,'Ryu Kyu Islands',138,'',2304,'Country','Country of observation','-',6,2664,1,0, 2305,2305,422,'Saudi Arabia',139,'',2305,'Country','Country of observation','-',6,2664,1,0, 2306,2306,422,'Singapore',140,'',2306,'Country','Country of observation','-',6,2664,1,0, 2307,2307,422,'Sri Lanka',141,'',2307,'Country','Country of observation','-',6,2664,1,0, 2308,2308,422,'Syrian Arab Republic',142,'',2308,'Country','Country of observation','-',6,2664,1,0, 2309,2309,422,'Thailand',143,'',2309,'Country','Country of observation','-',6,2664,1,0, 2310,2310,422,'Turkey',144,'',2310,'Country','Country of observation','-',6,2664,1,0, 2311,2311,422,'United Arab Emirates',145,'',2311,'Country','Country of observation','-',6,2664,1,0, 2312,2312,422,'Viet Nam',146,'',2312,'Country','Country of observation','-',6,2664,1,0, 2313,2313,422,'Yemen',147,'',2313,'Country','Country of observation','-',6,2664,1,0, 2314,2314,422,'Albania',148,'',2314,'Country','Country of observation','-',6,2664,1,0, 2315,2315,422,'Armenia',149,'',2315,'Country','Country of observation','-',6,2664,1,0, 2316,2316,422,'Andorra',150,'',2316,'Country','Country of observation','-',6,2664,1,0, 2318,2318,422,'Azerbaijan',152,'',2318,'Country','Country of observation','-',6,2664,1,0, 2319,2319,422,'Belarus',153,'',2319,'Country','Country of observation','-',6,2664,1,0, 2321,2321,422,'Bosnia and Herzegovina',155,'',2321,'Country','Country of observation','-',6,2664,1,0, 2323,2323,422,'Croatia',157,'',2323,'Country','Country of observation','-',6,2664,1,0, 2324,2324,422,'Czechoslovakia, Former',158,'',2324,'Country','Country of observation','-',6,2664,1,0, 2330,2330,422,'Georgia',164,'',2330,'Country','Country of observation','-',6,2664,1,0, 2332,2332,422,'Germany, Former Democratic Republic',166,'',2332,'Country','Country of observation','-',6,2664,1,0, 2333,2333,422,'Germany, Former Federal Republic',167,'',2333,'Country','Country of observation','-',6,2664,1,0, 2334,2334,422,'Germany, West Berlin',168,'',2334,'Country','Country of observation','-',6,2664,1,0, 2337,2337,422,'Iceland',171,'',2337,'Country','Country of observation','-',6,2664,1,0, 2340,2340,422,'Kazakhstan',174,'',2340,'Country','Country of observation','-',6,2664,1,0, 2341,2341,422,'Kyrgyzstan',175,'',2341,'Country','Country of observation','-',6,2664,1,0, 2345,2345,422,'TFYR Macedonia',179,'',2345,'Country','Country of observation','-',6,2664,1,0, 2347,2347,422,'Monaco',181,'',2347,'Country','Country of observation','-',6,2664,1,0, 2348,2348,422,'Montenegro',182,'',2348,'Country','Country of observation','-',6,2664,1,0, 2350,2350,422,'Norway',184,'',2350,'Country','Country of observation','-',6,2664,1,0, 2353,2353,422,'Republic of Moldova',187,'',2353,'Country','Country of observation','-',6,2664,1,0, 2355,2355,422,'Russian Federation',189,'',2355,'Country','Country of observation','-',6,2664,1,0, 2356,2356,422,'Serbia',190,'',2356,'Country','Country of observation','-',6,2664,1,0, 2358,2358,422,'San Marino',192,'',2358,'Country','Country of observation','-',6,2664,1,0, 2362,2362,422,'Switzerland',196,'',2362,'Country','Country of observation','-',6,2664,1,0, 2363,2363,422,'Tajikistan',197,'',2363,'Country','Country of observation','-',6,2664,1,0, 2364,2364,422,'Turkmenistan',198,'',2364,'Country','Country of observation','-',6,2664,1,0, 2365,2365,422,'Ukraine',199,'',2365,'Country','Country of observation','-',6,2664,1,0, 2366,2366,422,'USSR, Former',200,'',2366,'Country','Country of observation','-',6,2664,1,0, 2368,2368,422,'United Kingdom, England and Wales',202,'',2368,'Country','Country of observation','-',6,2664,1,0, 2369,2369,422,'United Kingdom, Northern Ireland',203,'',2369,'Country','Country of observation','-',6,2664,1,0, 2370,2370,422,'United Kingdom, Scotland',204,'',2370,'Country','Country of observation','-',6,2664,1,0, 2371,2371,422,'Uzbekistan',205,'',2371,'Country','Country of observation','-',6,2664,1,0, 2372,2372,422,'Yugoslavia, Former',206,'',2372,'Country','Country of observation','-',6,2664,1,0, 2373,2373,422,'Serbia and Montenegro, Former',207,'',2373,'Country','Country of observation','-',6,2664,1,0, 2374,2374,422,'Australia',208,'',2374,'Country','Country of observation','-',6,2664,1,0, 2375,2375,422,'Cook Islands',209,'',2375,'Country','Country of observation','-',6,2664,1,0, 2376,2376,422,'Fiji',210,'',2376,'Country','Country of observation','-',6,2664,1,0, 2377,2377,422,'Kiribati',211,'',2377,'Country','Country of observation','-',6,2664,1,0, 2378,2378,422,'Marshall Islands',212,'',2378,'Country','Country of observation','-',6,2664,1,0, 2379,2379,422,'Micronesia (Federated States of)',213,'',2379,'Country','Country of observation','-',6,2664,1,0, 2380,2380,422,'Nauru',214,'',2380,'Country','Country of observation','-',6,2664,1,0, 2381,2381,422,'New Zealand',215,'',2381,'Country','Country of observation','-',6,2664,1,0, 2382,2382,422,'Niue',216,'',2382,'Country','Country of observation','-',6,2664,1,0, 2383,2383,422,'Palau',217,'',2383,'Country','Country of observation','-',6,2664,1,0, 2384,2384,422,'Papua New Guinea',218,'',2384,'Country','Country of 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4345,4345,493,'J069',1956,'',4345,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4346,4346,493,'J180',1957,'',4346,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4347,4347,493,'J181',1958,'',4347,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4348,4348,493,'J189',1959,'',4348,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4349,4349,493,'J209',1960,'',4349,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4350,4350,493,'J219',1961,'',4350,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4351,4351,493,'J384',1962,'',4351,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4352,4352,493,'J385',1963,'',4352,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4353,4353,493,'J439',1964,'',4353,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4354,4354,493,'J449',1965,'',4354,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4355,4355,493,'J459',1966,'',4355,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4356,4356,493,'J690',1967,'',4356,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4357,4357,493,'J841',1968,'',4357,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4358,4358,493,'J849',1969,'',4358,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4359,4359,493,'J852',1970,'',4359,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4360,4360,493,'J869',1971,'',4360,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4361,4361,493,'J939',1972,'',4361,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4362,4362,493,'J942',1973,'',4362,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4363,4363,493,'J969',1974,'',4363,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4364,4364,493,'J984',1975,'',4364,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4365,4365,493,'J988',1976,'',4365,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4366,4366,493,'J989',1977,'',4366,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4367,4367,493,'K222',1978,'',4367,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4368,4368,493,'K229',1979,'',4368,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4369,4369,493,'K254',1980,'',4369,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4370,4370,493,'K264',1981,'',4370,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4371,4371,493,'K265',1982,'',4371,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4372,4372,493,'K270',1983,'',4372,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4373,4373,493,'K273',1984,'',4373,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4374,4374,493,'K274',1985,'',4374,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4375,4375,493,'K279',1986,'',4375,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4376,4376,493,'K289',1987,'',4376,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4377,4377,493,'K291',1988,'',4377,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4378,4378,493,'K292',1989,'',4378,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4379,4379,493,'K297',1990,'',4379,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4380,4380,493,'K350',1991,'',4380,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4381,4381,493,'K500',1992,'',4381,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4382,4382,493,'K518',1993,'',4382,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4383,4383,493,'K519',1994,'',4383,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4384,4384,493,'K550',1995,'',4384,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4385,4385,493,'K565',1996,'',4385,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4386,4386,493,'K566',1997,'',4386,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4387,4387,493,'K578',1998,'',4387,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4388,4388,493,'K631',1999,'',4388,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4389,4389,493,'K650',2000,'',4389,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4390,4390,493,'K659',2001,'',4390,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4391,4391,493,'K700',2002,'',4391,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4392,4392,493,'K701',2003,'',4392,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4393,4393,493,'K703',2004,'',4393,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4394,4394,493,'K704',2005,'',4394,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4395,4395,493,'K709',2006,'',4395,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4396,4396,493,'K720',2007,'',4396,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4397,4397,493,'K729',2008,'',4397,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4398,4398,493,'K732',2009,'',4398,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4399,4399,493,'K746',2010,'',4399,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4400,4400,493,'K750',2011,'',4400,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4401,4401,493,'K759',2012,'',4401,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4402,4402,493,'K760',2013,'',4402,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4403,4403,493,'K767',2014,'',4403,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4404,4404,493,'K769',2015,'',4404,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4405,4405,493,'K830',2016,'',4405,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4406,4406,493,'K831',2017,'',4406,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4407,4407,493,'K860',2018,'',4407,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4408,4408,493,'K861',2019,'',4408,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4409,4409,493,'K862',2020,'',4409,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4410,4410,493,'K868',2021,'',4410,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4411,4411,493,'K909',2022,'',4411,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4412,4412,493,'K920',2023,'',4412,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4413,4413,493,'K921',2024,'',4413,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4414,4414,493,'K922',2025,'',4414,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4415,4415,493,'L022',2026,'',4415,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 4416,4416,493,'L031',2027,'',4416,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 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9997,9997,493,'Y032',7608,'',9997,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 9998,9998,493,'Y046',7609,'',9998,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 9999,9999,493,'Y051',7610,'',9999,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10K,10K,493,'Y052',7611,'',10K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.001K,10.001K,493,'Y085',7612,'',10.001K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.002K,10.002K,493,'Y086',7613,'',10.002K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.003K,10.003K,493,'Y096',7614,'',10.003K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.004K,10.004K,493,'Y124',7615,'',10.004K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.005K,10.005K,493,'Y258',7616,'',10.005K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.006K,10.006K,493,'Y291',7617,'',10.006K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.007K,10.007K,493,'Y310',7618,'',10.007K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.008K,10.008K,493,'Y313',7619,'',10.008K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.009K,10.009K,493,'Y438',7620,'',10.009K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.01K,10.01K,493,'Y452',7621,'',10.01K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.011K,10.011K,493,'Y500',7622,'',10.011K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.012K,10.012K,493,'Y518',7623,'',10.012K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.013K,10.013K,493,'Y576',7624,'',10.013K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.014K,10.014K,493,'Y586',7625,'',10.014K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.015K,10.015K,493,'Y605',7626,'',10.015K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.016K,10.016K,493,'Y620',7627,'',10.016K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.017K,10.017K,493,'Y626',7628,'',10.017K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.018K,10.018K,493,'Y630',7629,'',10.018K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.019K,10.019K,493,'Y638',7630,'',10.019K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.02K,10.02K,493,'Y650',7631,'',10.02K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.021K,10.021K,493,'Y703',7632,'',10.021K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.022K,10.022K,493,'Y730',7633,'',10.022K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.023K,10.023K,493,'Y768',7634,'',10.023K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.024K,10.024K,493,'A045',7635,'',10.024K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.025K,10.025K,493,'A050',7636,'',10.025K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.026K,10.026K,493,'A200',7637,'',10.026K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.027K,10.027K,493,'A289',7638,'',10.027K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.028K,10.028K,493,'A568',7639,'',10.028K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.029K,10.029K,493,'A599',7640,'',10.029K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.03K,10.03K,493,'A660',7641,'',10.03K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.031K,10.031K,493,'A698',7642,'',10.031K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.032K,10.032K,493,'A759',7643,'',10.032K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.033K,10.033K,493,'A799',7644,'',10.033K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.034K,10.034K,493,'A851',7645,'',10.034K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.035K,10.035K,493,'B083',7646,'',10.035K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.036K,10.036K,493,'B084',7647,'',10.036K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.037K,10.037K,493,'B278',7648,'',10.037K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.038K,10.038K,493,'B375',7649,'',10.038K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.039K,10.039K,493,'B382',7650,'',10.039K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.04K,10.04K,493,'B401',7651,'',10.04K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.041K,10.041K,493,'B439',7652,'',10.041K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.042K,10.042K,493,'B510',7653,'',10.042K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.043K,10.043K,493,'B518',7654,'',10.043K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.044K,10.044K,493,'B698',7655,'',10.044K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.045K,10.045K,493,'B760',7656,'',10.045K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.046K,10.046K,493,'B832',7657,'',10.046K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.047K,10.047K,493,'B852',7658,'',10.047K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.048K,10.048K,493,'D050',7659,'',10.048K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.049K,10.049K,493,'D051',7660,'',10.049K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.05K,10.05K,493,'D061',7661,'',10.05K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.051K,10.051K,493,'D101',7662,'',10.051K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.052K,10.052K,493,'D170',7663,'',10.052K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.053K,10.053K,493,'D301',7664,'',10.053K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.054K,10.054K,493,'D310',7665,'',10.054K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.055K,10.055K,493,'D588',7666,'',10.055K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.056K,10.056K,493,'D592',7667,'',10.056K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.057K,10.057K,493,'D809',7668,'',10.057K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.058K,10.058K,493,'E123',7669,'',10.058K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.059K,10.059K,493,'E309',7670,'',10.059K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.06K,10.06K,493,'E310',7671,'',10.06K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.061K,10.061K,493,'E671',7672,'',10.061K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.062K,10.062K,493,'E678',7673,'',10.062K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.063K,10.063K,493,'F060',7674,'',10.063K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.064K,10.064K,493,'F070',7675,'',10.064K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.065K,10.065K,493,'F072',7676,'',10.065K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.066K,10.066K,493,'F112',7677,'',10.066K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.067K,10.067K,493,'F139',7678,'',10.067K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.068K,10.068K,493,'F169',7679,'',10.068K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.069K,10.069K,493,'F203',7680,'',10.069K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.07K,10.07K,493,'F250',7681,'',10.07K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.071K,10.071K,493,'F400',7682,'',10.071K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.072K,10.072K,493,'F410',7683,'',10.072K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.073K,10.073K,493,'F411',7684,'',10.073K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.074K,10.074K,493,'F444',7685,'',10.074K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.075K,10.075K,493,'F519',7686,'',10.075K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.076K,10.076K,493,'F530',7687,'',10.076K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.077K,10.077K,493,'F603',7688,'',10.077K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.078K,10.078K,493,'F609',7689,'',10.078K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.079K,10.079K,493,'F688',7690,'',10.079K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.08K,10.08K,493,'F721',7691,'',10.08K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.081K,10.081K,493,'F788',7692,'',10.081K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.082K,10.082K,493,'F789',7693,'',10.082K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.083K,10.083K,493,'G368',7694,'',10.083K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.084K,10.084K,493,'G543',7695,'',10.084K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.085K,10.085K,493,'G568',7696,'',10.085K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.086K,10.086K,493,'G602',7697,'',10.086K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.087K,10.087K,493,'G618',7698,'',10.087K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.088K,10.088K,493,'H055',7699,'',10.088K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.089K,10.089K,493,'H270',7700,'',10.089K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.09K,10.09K,493,'H349',7701,'',10.09K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.091K,10.091K,493,'H402',7702,'',10.091K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.092K,10.092K,493,'H440',7703,'',10.092K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.093K,10.093K,493,'H441',7704,'',10.093K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.094K,10.094K,493,'H444',7705,'',10.094K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.095K,10.095K,493,'H449',7706,'',10.095K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.096K,10.096K,493,'H600',7707,'',10.096K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.097K,10.097K,493,'H603',7708,'',10.097K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.098K,10.098K,493,'H662',7709,'',10.098K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.099K,10.099K,493,'H939',7710,'',10.099K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.1K,10.1K,493,'I888',7711,'',10.1K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.101K,10.101K,493,'J028',7712,'',10.101K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.102K,10.102K,493,'J060',7713,'',10.102K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.103K,10.103K,493,'J310',7714,'',10.103K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.104K,10.104K,493,'J676',7715,'',10.104K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.105K,10.105K,493,'K046',7716,'',10.105K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.106K,10.106K,493,'K050',7717,'',10.106K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.107K,10.107K,493,'K052',7718,'',10.107K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.108K,10.108K,493,'K062',7719,'',10.108K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.109K,10.109K,493,'K088',7720,'',10.109K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.11K,10.11K,493,'K130',7721,'',10.11K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.111K,10.111K,493,'K131',7722,'',10.111K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.112K,10.112K,493,'L040',7723,'',10.112K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.113K,10.113K,493,'L041',7724,'',10.113K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.114K,10.114K,493,'L239',7725,'',10.114K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.115K,10.115K,493,'L259',7726,'',10.115K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.116K,10.116K,493,'L678',7727,'',10.116K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.117K,10.117K,493,'M002',7728,'',10.117K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.118K,10.118K,493,'M239',7729,'',10.118K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.119K,10.119K,493,'M247',7730,'',10.119K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.12K,10.12K,493,'M250',7731,'',10.12K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.121K,10.121K,493,'M302',7732,'',10.121K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.122K,10.122K,493,'M438',7733,'',10.122K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.123K,10.123K,493,'M488',7734,'',10.123K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.124K,10.124K,493,'M722',7735,'',10.124K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.125K,10.125K,493,'M768',7736,'',10.125K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.126K,10.126K,493,'M816',7737,'',10.126K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.127K,10.127K,493,'M838',7738,'',10.127K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.128K,10.128K,493,'M890',7739,'',10.128K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.129K,10.129K,493,'M896',7740,'',10.129K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.13K,10.13K,493,'M941',7741,'',10.13K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.131K,10.131K,493,'N018',7742,'',10.131K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.132K,10.132K,493,'N078',7743,'',10.132K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.133K,10.133K,493,'N500',7744,'',10.133K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.134K,10.134K,493,'N645',7745,'',10.134K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.135K,10.135K,493,'N836',7746,'',10.135K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.136K,10.136K,493,'N855',7747,'',10.136K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.137K,10.137K,493,'N856',7748,'',10.137K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.138K,10.138K,493,'O011',7749,'',10.138K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.139K,10.139K,493,'O104',7750,'',10.139K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.14K,10.14K,493,'O233',7751,'',10.14K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.141K,10.141K,493,'O242',7752,'',10.141K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.142K,10.142K,493,'O619',7753,'',10.142K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.143K,10.143K,493,'O628',7754,'',10.143K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.144K,10.144K,493,'O683',7755,'',10.144K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.145K,10.145K,493,'O714',7756,'',10.145K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.146K,10.146K,493,'O715',7757,'',10.146K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.147K,10.147K,493,'O717',7758,'',10.147K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.148K,10.148K,493,'P040',7759,'',10.148K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.149K,10.149K,493,'P044',7760,'',10.149K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.15K,10.15K,493,'P045',7761,'',10.15K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.151K,10.151K,493,'P113',7762,'',10.151K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.152K,10.152K,493,'P121',7763,'',10.152K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.153K,10.153K,493,'P122',7764,'',10.153K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.154K,10.154K,493,'P505',7765,'',10.154K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.155K,10.155K,493,'P581',7766,'',10.155K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.156K,10.156K,493,'P591',7767,'',10.156K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.157K,10.157K,493,'P949',7768,'',10.157K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.158K,10.158K,493,'Q206',7769,'',10.158K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.159K,10.159K,493,'Q266',7770,'',10.159K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.16K,10.16K,493,'Q272',7771,'',10.16K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.161K,10.161K,493,'Q274',7772,'',10.161K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.162K,10.162K,493,'Q308',7773,'',10.162K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.163K,10.163K,493,'Q335',7774,'',10.163K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.164K,10.164K,493,'Q380',7775,'',10.164K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.165K,10.165K,493,'Q395',7776,'',10.165K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.166K,10.166K,493,'Q560',7777,'',10.166K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.167K,10.167K,493,'Q621',7778,'',10.167K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.168K,10.168K,493,'Q656',7779,'',10.168K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.169K,10.169K,493,'Q659',7780,'',10.169K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.17K,10.17K,493,'Q927',7781,'',10.17K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.171K,10.171K,493,'Q932',7782,'',10.171K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.172K,10.172K,493,'Q988',7783,'',10.172K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.173K,10.173K,493,'Q990',7784,'',10.173K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.174K,10.174K,493,'R012',7785,'',10.174K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.175K,10.175K,493,'R065',7786,'',10.175K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.176K,10.176K,493,'R066',7787,'',10.176K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.177K,10.177K,493,'R231',7788,'',10.177K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.178K,10.178K,493,'R413',7789,'',10.178K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.179K,10.179K,493,'R633',7790,'',10.179K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.18K,10.18K,493,'R870',7791,'',10.18K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.181K,10.181K,493,'V101',7792,'',10.181K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.182K,10.182K,493,'V133',7793,'',10.182K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.183K,10.183K,493,'V151',7794,'',10.183K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.184K,10.184K,493,'V190',7795,'',10.184K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.185K,10.185K,493,'V205',7796,'',10.185K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.186K,10.186K,493,'V221',7797,'',10.186K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.187K,10.187K,493,'V255',7798,'',10.187K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.188K,10.188K,493,'V262',7799,'',10.188K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.189K,10.189K,493,'V369',7800,'',10.189K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.19K,10.19K,493,'V379',7801,'',10.19K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.191K,10.191K,493,'V453',7802,'',10.191K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.192K,10.192K,493,'V463',7803,'',10.192K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.193K,10.193K,493,'V620',7804,'',10.193K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.194K,10.194K,493,'V630',7805,'',10.194K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.195K,10.195K,493,'V654',7806,'',10.195K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.196K,10.196K,493,'V657',7807,'',10.196K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.197K,10.197K,493,'V711',7808,'',10.197K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.198K,10.198K,493,'V751',7809,'',10.198K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.199K,10.199K,493,'V760',7810,'',10.199K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.2K,10.2K,493,'V762',7811,'',10.2K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.201K,10.201K,493,'V774',7812,'',10.201K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.202K,10.202K,493,'V810',7813,'',10.202K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.203K,10.203K,493,'V853',7814,'',10.203K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.204K,10.204K,493,'V900',7815,'',10.204K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.205K,10.205K,493,'V933',7816,'',10.205K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.206K,10.206K,493,'W000',7817,'',10.206K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.207K,10.207K,493,'W035',7818,'',10.207K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.208K,10.208K,493,'W059',7819,'',10.208K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.209K,10.209K,493,'W074',7820,'',10.209K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.21K,10.21K,493,'W273',7821,'',10.21K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.211K,10.211K,493,'W275',7822,'',10.211K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.212K,10.212K,493,'W277',7823,'',10.212K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.213K,10.213K,493,'W305',7824,'',10.213K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.214K,10.214K,493,'W385',7825,'',10.214K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.215K,10.215K,493,'W429',7826,'',10.215K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.216K,10.216K,493,'W444',7827,'',10.216K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.217K,10.217K,493,'W455',7828,'',10.217K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.218K,10.218K,493,'W457',7829,'',10.218K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.219K,10.219K,493,'W495',7830,'',10.219K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.22K,10.22K,493,'W519',7831,'',10.22K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.221K,10.221K,493,'W522',7832,'',10.221K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.222K,10.222K,493,'W529',7833,'',10.222K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.223K,10.223K,493,'W578',7834,'',10.223K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.224K,10.224K,493,'W596',7835,'',10.224K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.225K,10.225K,493,'W609',7836,'',10.225K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.226K,10.226K,493,'W645',7837,'',10.226K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.227K,10.227K,493,'W761',7838,'',10.227K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.228K,10.228K,493,'W812',7839,'',10.228K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.229K,10.229K,493,'W900',7840,'',10.229K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.23K,10.23K,493,'W934',7841,'',10.23K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.231K,10.231K,493,'W992',7842,'',10.231K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.232K,10.232K,493,'X007',7843,'',10.232K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.233K,10.233K,493,'X087',7844,'',10.233K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.234K,10.234K,493,'X124',7845,'',10.234K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.235K,10.235K,493,'X157',7846,'',10.235K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.236K,10.236K,493,'X161',7847,'',10.236K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.237K,10.237K,493,'X214',7848,'',10.237K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.238K,10.238K,493,'X217',7849,'',10.238K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.239K,10.239K,493,'X361',7850,'',10.239K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.24K,10.24K,493,'X376',7851,'',10.24K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.241K,10.241K,493,'X398',7852,'',10.241K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.242K,10.242K,493,'X427',7853,'',10.242K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.243K,10.243K,493,'X432',7854,'',10.243K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.244K,10.244K,493,'X497',7855,'',10.244K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.245K,10.245K,493,'X638',7856,'',10.245K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.246K,10.246K,493,'X685',7857,'',10.246K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.247K,10.247K,493,'X727',7858,'',10.247K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.248K,10.248K,493,'X751',7859,'',10.248K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.249K,10.249K,493,'X796',7860,'',10.249K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.25K,10.25K,493,'X803',7861,'',10.25K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.251K,10.251K,493,'X823',7862,'',10.251K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.252K,10.252K,493,'X852',7863,'',10.252K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.253K,10.253K,493,'X905',7864,'',10.253K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.254K,10.254K,493,'X925',7865,'',10.254K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.255K,10.255K,493,'X946',7866,'',10.255K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.256K,10.256K,493,'X984',7867,'',10.256K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.257K,10.257K,493,'Y118',7868,'',10.257K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.258K,10.258K,493,'Y145',7869,'',10.258K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.259K,10.259K,493,'Y203',7870,'',10.259K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.26K,10.26K,493,'Y222',7871,'',10.26K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.261K,10.261K,493,'Y237',7872,'',10.261K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.262K,10.262K,493,'Y265',7873,'',10.262K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.263K,10.263K,493,'Y283',7874,'',10.263K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.264K,10.264K,493,'Y297',7875,'',10.264K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.265K,10.265K,493,'Y312',7876,'',10.265K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.266K,10.266K,493,'Y328',7877,'',10.266K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.267K,10.267K,493,'Y369',7878,'',10.267K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.268K,10.268K,493,'Y402',7879,'',10.268K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.269K,10.269K,493,'Y410',7880,'',10.269K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.27K,10.27K,493,'Y424',7881,'',10.27K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.271K,10.271K,493,'Y516',7882,'',10.271K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.272K,10.272K,493,'Y603',7883,'',10.272K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.273K,10.273K,493,'Y610',7884,'',10.273K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.274K,10.274K,493,'Y621',7885,'',10.274K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.275K,10.275K,493,'Y634',7886,'',10.275K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.276K,10.276K,493,'Y721',7887,'',10.276K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.277K,10.277K,493,'Y722',7888,'',10.277K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.278K,10.278K,493,'Y782',7889,'',10.278K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.279K,10.279K,493,'Y844',7890,'',10.279K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.28K,10.28K,493,'Y881',7891,'',10.28K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.281K,10.281K,493,'A032',7892,'',10.281K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.282K,10.282K,493,'A041',7893,'',10.282K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.283K,10.283K,493,'A058',7894,'',10.283K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.284K,10.284K,493,'A062',7895,'',10.284K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.285K,10.285K,493,'A070',7896,'',10.285K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.286K,10.286K,493,'A078',7897,'',10.286K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.287K,10.287K,493,'A221',7898,'',10.287K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.288K,10.288K,493,'A328',7899,'',10.288K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.289K,10.289K,493,'A362',7900,'',10.289K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.29K,10.29K,493,'A371',7901,'',10.29K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.291K,10.291K,493,'A422',7902,'',10.291K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.292K,10.292K,493,'A484',7903,'',10.292K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.293K,10.293K,493,'A638',7904,'',10.293K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.294K,10.294K,493,'A663',7905,'',10.294K,'Diagnosis','Diagnosis','ICD-10',6,2664,1,0, 10.295K,10.295K,493,'A66