tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: benjamin_rogers__976__Peoples Bid Responses MTM
Sheet: Oxy Bid

 |  |  |  | [NAME] | April Bid
Original Bid - February 12, 2002 |  |  |  | 50000000 | 39000000
[NAME]
March through October
 | 2002-03-01 00:00:00 | 2002-04-01 00:00:00 | 2002-05-01 00:00:00 | 2002-06-01 00:00:00 | 2002-07-01 00:00:00 | 2002-08-01 00:00:00 | 2002-09-01 00:00:00 | 2002-10-01 00:00:00 | [NAME] | Apr - Oct WACOG
 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
2002-03-15 00:00:00
2002-03-14 00:00:00
2002-03-13 00:00:00
2002-03-12 00:00:00
2002-03-11 00:00:00
2002-03-10 00:00:00
2002-03-09 00:00:00
2002-03-08 00:00:00
2002-03-07 00:00:00
2002-03-06 00:00:00
2002-03-05 00:00:00
2002-03-04 00:00:00
2002-03-03 00:00:00
2002-03-02 00:00:00
2002-03-01 00:00:00
2002-02-28 00:00:00
2002-02-27 00:00:00
2002-02-26 00:00:00
2002-02-25 00:00:00
2002-02-24 00:00:00
2002-02-23 00:00:00
2002-02-22 00:00:00
2002-02-21 00:00:00
2002-02-20 00:00:00
2002-02-19 00:00:00
2002-02-18 00:00:00
2002-02-17 00:00:00
2002-02-16 00:00:00
2002-02-15 00:00:00
2002-02-14 00:00:00
2002-02-13 00:00:00
2002-02-12 00:00:00 |  |  |  |  |  |  |  |  | NA | 2.537
2002-02-11 00:00:00
Spreadsheet: 20e824e4-2c72-46b8-adcc-38801fb5238b
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
 | Time Series Workbook
 | 5368.0 International Trade in Goods and Services, Australia
 | TABLE 7. GOODS CREDITS, Trend estimates, Current prices
Related Information: | Summary Publication | Explanatory Notes | Inquiries
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Total goods credits ; |  |  | Trend | A2718657A | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
General merchandise ; |  |  | Trend | A2718658C | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Rural goods ; |  |  | Trend | A2718660R | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Meat and meat preparations ; |  |  | Trend | A2718661T | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Cereal grains and cereal preparations ; |  |  | Trend | A2718663W | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Wool and sheepskins ; |  |  | Trend | A2718664X | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Other rural ; |  |  | Trend | A2718666C | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Non-rural goods ; |  |  | Trend | A2718667F | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Metal ores and minerals ; |  |  | Trend | A2718668J | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Coal, coke and briquettes ; |  |  | Trend | A2718669K | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Other mineral fuels ; |  |  | Trend | A2718670V | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Metals (excl. non-monetary gold) ; |  |  | Trend | A2718671W | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Machinery ; |  |  | Trend | A2718672X | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Transport equipment ; |  |  | Trend | A2718673A | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Other manufactures ; |  |  | Trend | A2718675F | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Other non-rural (incl. sugar and beverages) ; |  |  | Trend | A2718676J | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Goods procured in ports by carriers ; |  |  | Trend | A2718678L | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Net exports of goods under merchanting ; |  |  | Trend | A2718679R | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
Non-monetary gold ; |  |  | Trend | A2718682C | 1971-07-01 00:00:00 | 2010-04-01 00:00:00 | 466 | $ Millions | FLOW | Month | 1
© Commonwealth of Australia  2010
Spreadsheet: eb76c2e2-fb3b-4720-9d72-c03a95ca4507
Sheet: 11c

Product | AUD** | CAD | CHF | DKK | KRW | NOK | NZD | SEK | ZAR | TOTAL
Basis* | <100 | <100 | <100 |  |  |  |  |  |  | <100
FRA |  |  | 1202 | 490 |  | <100 |  | 126 |  | 1818
IRS- [NAME] | 963 | 646 | 323 | <100 |  | 342 | 338 | 286 | 268 | 3166
OIS |  | <100 | <100 |  |  |  |  |  |  | <100
VNS
Zero Coupon
TOTAL | 963 | 646 | 1525 | 490 |  | 342 | 338 | 412 | 268 | 4984
Estimated swap transaction volumes, week ending February 15, by product type and major currency (millions of USD), all participant types, cleared and uncleared.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown.
*See Data Dictionary for product descriptions.
**See Data Dictionary for major currency descriptions.
***N/A indicates that data are not currently available.
Note: Transaction volumes currently include house and client trades by FCMs in the interest rate asset class.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 176004d1345704103-use-data-from-combobox-movie_details
Sheet: Sheet1

 |  | Select Movie |  | This has to be a combobox
 |  | All
1 |  | Titanic
 |  | Home Alone |  | When selected one of the movies from the above combobox list I should get the results below
 |  | The Expendables 2
 |  | Total Recall
 |  | The Bourne Legacy
 |  |  |  |  |  |  |  | 3
 |  |  |  | Select a Star (This will again be a combobox)
 |  | Movie Published | 5 | All
 |  | Movie Created | 7 | [NAME] |  | Similarly I want a dynamic graph to appear showing these data heredepending on the values that are changed, again I will need a combobox which will have four quarters Q1, Q2, Q3 and Q4 listed. When I select Q1 it should show me the graph with the movies that got releases in that quarter.
2 |  | Movie Updated | 3 | [NAME]
 |  | Total Views | 15 | [NAME]
 |  | Rated as Excellent |  | [NAME]
 |  | Satisfaction | Y/N
 |  | Top Movies | 2 | <<<<<< So when I select a star from the  dropdown the movie rating to that particular  star has to appear which is on the left >>>>>>>>
Spreadsheet: 007e0aeb-0f16-4000-8766-08cbc9b8e22c
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
 | Time Series Workbook
 | 6202.0 Labour Force, Australia
 | Table 11. Labour force status by Sex - Australian Capital Territory - Trend and Original
Related Information: | Summary Publication | Explanatory Notes | Inquiries
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Employed - full-time ;  [NAME] ; |  |  | Trend | A184182L | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
Employed - full-time ;  Females ; |  |  | Trend | A184199J | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
Employed - full-time ;  Persons ; |  |  | Trend | A184216X | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
Employed - total ;  [NAME] ; |  |  | Trend | A184184T | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
Employed - total ;  Females ; |  |  | Trend | A184201J | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
Employed - total ;  Persons ; |  |  | Trend | A184218C | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
Unemployed - total ;  [NAME] ; |  |  | Trend | A184187X | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
Unemployed - total ;  Females ; |  |  | Trend | A184204R | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
Unemployed - total ;  Persons ; |  |  | Trend | A184221T | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
Unemployment rate ;  [NAME] ; |  |  | Trend | A184194W | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | Percent | PERCENT | Month | 1
Unemployment rate ;  Females ; |  |  | Trend | A184211L | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | Percent | PERCENT | Month | 1
Unemployment rate ;  Persons ; |  |  | Trend | A184228J | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | Percent | PERCENT | Month | 1
Participation rate ;  [NAME] ; |  |  | Trend | A184193V | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | Percent | PERCENT | Month | 1
Participation rate ;  Females ; |  |  | Trend | A184210K | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | Percent | PERCENT | Month | 1
Participation rate ;  Persons ; |  |  | Trend | A184227F | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | Percent | PERCENT | Month | 1
Civilian population ;  [NAME] ; |  |  | Original | A163537W | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
Civilian population ;  Females ; |  |  | Original | A163554X | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
Civilian population ;  Persons ; |  |  | Original | A163571A | 1978-02-01 00:00:00 | 2012-06-01 00:00:00 | 413 | 000 | STOCK | Month | 1
© Commonwealth of Australia  2012
Spreadsheet: 768719d1645098815-amount-not-pulling-through-pivot-table-2022-01-pettycash
Sheet: PIVOT - SUMMARY

ALLOCATION | Sum of AMOUNT EXCL VAT |  | Number of Lines =
ZA 615030 360  PET | 2.56 |  | EXP PER PCB
ZA 615030 360  POU | 187.51 |  | Grand Total
ZA 615030 360  RUM | 106.87
ZA 615030 360  SWI | 8.05
ZA 621100 360  PET | 16.8
ZA 621100 360  POU | 1229.6
ZA 621100 360  RUM | 800.8000000000001
ZA 621100 360  SWI | 42.8
ZA 625000 355  POU | 110
ZA 625000 360  PET | 3.02
ZA 625000 360  POU | 221.33
ZA 625000 360  RUM | 126.14
ZA 625000 360  SWI | 9.5
ZA 628130 360  POU | 96.5
ZA 628200 310  PET | 21.32
ZA 628200 310  POU | 122.2
ZA 628200 310  RUM | 246.72
ZA 628200 310  SWI | 9.76
Grand Total | 3361.48
Spreadsheet: 26a5e3ef-3ce7-4ead-841d-422c20331916
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Introns per gene | Unnamed: 4 | Unnamed: 5 | [NAME] | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
SPECIES | Introns per kb CDS | Mean | Median | SD | Mean | Median | SD | [NAME] | Total CDS Length (kb) | Total Intron Length (kb) | Genome Size
Ashbya gossypii | 0.03 | 1.04 | 1 | 0.25 | 111.04 | 63 | 97.73 | 228 | 6976 | 25316 | 8.8 Mb
Kluyveromyces lactis | 0.02 | 1.02 | 1 | 0.12 | 343.38 | 269 | 252.72 | 130 | 7532 | 44639 | 10.7 Mb
Candida glabrata | 0.01 | 1.02 | 1 | 0.16 | 451.7 | 448 | 300.46 | 84 | 7971 | 37943 | 12.2 Mb
Saccharomyces cerevisiae | 0.04 | 1.08 | 1 | 0.48 | 318.84 | 127 | 532.68 | 348 | 9074 | 110957 | 12.1 Mb
Debaryomyces hansenii | 0.04 | 1.06 | 1 | 0.28 | 175.67 | 90 | 177.25 | 357 | 9249 | 62715 | 12.2 Mb
Yarrowia lipolytica | 0.08 | 1.1 | 1 | 0.36 | 268.69 | 204 | 225.16 | 742 | 9639 | 199365 | 20.5 Mb
Aspergillus fumigatus | 1.33 | 2.52 | 2 | 1.76 | 80.85 | 60 | 193.39 | 18693 | 14014 | 1511389 | 28.8 Mb
Aspergillus nidulans | 1.68 | 3.03 | 2 | 2.3 | 101.58 | 63 | 100.01 | 25585 | 15231 | 2599015 | 30.0 Mb
Aspergillus terreus | 1.39 | 2.63 | 2 | 1.91 | 80.51 | 57 | 249.93 | 23012 | 16561 | 1852678 | 29.3 Mb
Chaetomium globsum | 1.43 | 2.46 | 2 | 1.79 | 143.09 | 82 | 153 | 23599 | 16476 | 3376887 | 34.9 Mb
Neurospora crassa | 1.18 | 2.12 | 2 | 1.51 | 135.79 | 84 | 129.67 | 17231 | 14562 | 2339782 | 39.2 Mb
Podospora anserina | 1.06 | 2.17 | 2 | 1.5 | 76.14 | 63 | 38.53 | 15982 | 15129 | 1216802 | 35.7 Mb
Magnaporthe grisea | 1.34 | 2.5 | 2 | 1.79 | 142.91 | 94 | 138.13 | 21040 | 15697 | 3006731 | 41.6 Mb
Fusarium graminearum | 1.45 | 2.66 | 2 | 2.03 | 92.87 | 56 | 94.1 | 25895 | 17895 | 2404792 | 36.1 Mb
Stagonospora nodorum | 1.41 | 1.93 | 1 | 1.31 | 82.2 | 55 | 74.51 | 27420 | 19471 | 2253813 | 37.2 Mb
Schizosaccharomyces pombe | 0.66 | 2.09 | 2 | 1.47 | 82.23 | 56 | 68.27 | 4715 | 7095 | 387712 | 12.6 Mb
Phanerochaete chrysosporium | 4.14 | 5.3 | 4 | 4.5 | 61.05 | 54 | 53.76 | 66439 | 16063 | 4056393 | 35.1 Mb
Coprinopsis cinerea | 2.91 | 4.55 | 3 | 3.93 | 73.67 | 56 | 103.99 | 52413 | 17994 | 3861508 | 35.8 Mb
Cryptococcus neoformans | 3.3 | 5.48 | 5 | 3.83 | 67.29 | 55 | 55.34 | 35037 | 10612 | 2357658 | 19.1 Mb
Ustilago maydis | 0.41 | 1.99 | 1 | 1.51 | 126.95 | 95 | 109.86 | 4900 | 12000 | 622057 | 19.6 Mb
Rhizopus oryzae | 5.72 | 2.96 | 2 | 2.5 | 64.29 | 54 | 47.21 | 106320 | 18584 | 6834919 | 46.1 Mb
Per kb CDS, [NAME] mean
R2 | 0.3283938248848776
Per kb CDS,[NAME] median
R2 | 0.1927359861245788 |  |  | .
Per kb CDS,[NAME] mean No Hemi
R2 | 0.3115005399645709
Per kb CDS,[NAME] median No Hemi
R2 | 0.2239566977706461
Spreadsheet: 35825d1233537268-if-function-test
Sheet: Sheet1

Last Name | First Name |  | Hire/Term Date | Active | Fulltime | Permanent
DOE | [NAME] | BEKELE | 2005-04-29 00:00:00 | 1 | 0 | 0
DOE | [NAME] |  | 2008-01-18 00:00:00 | 1 | 0 | 0
DOE | [NAME] |  | 2008-07-23 00:00:00 | 0 | 1 | 1
SMITH | JON |  | 2007-07-10 00:00:00 | 0 | 0 | 0
SMITH | JON |  | 2008-01-24 00:00:00 | 0 | 0 | 0
Spreadsheet: 87917d1287773700-excel-2007-how-to-find-min-and-max-date-min-max-meter-search
Sheet: Sheet1

Unit | Work Order # | [NAME] | Date
1A258273 | VF100000955 | 921 | 2010-04-30 00:00:00
1A258273 | VF100001641 | 968 | 2010-07-08 00:00:00
1A258273 | VF100002038 | 993 | 2010-08-05 00:00:00
1A258273 | VF100002040 | 993 | 2010-08-08 00:00:00
1A258274 | VF100000676 | 146 | 2010-04-08 00:00:00
1A258274 | VF100000731 | 150 | 2010-03-29 00:00:00
1A258274 | VF100000850 | 153 | 2010-04-14 00:00:00
1A258274 | VF100000892 | 153 | 2010-04-26 00:00:00
Spreadsheet: 827334d1682613272-data-transfer-to-another-sheet-monthly-stock-control-copy
Sheet: Main

Month | Date | Item | Amount
April | 2023-04-22 21:31:51 | Adapter USB | 2
April | 2023-04-22 21:32:01 | Adapters for rooms | 3
April | 2023-04-22 21:32:08 | [NAME] | 2
April | 2023-04-22 21:31:51 | Adapter USB | 2
April | 2023-04-22 21:32:01 | Adapters for rooms | 3
April | 2023-04-22 21:32:08 | [NAME] | 2
April | 2023-04-22 21:37:03 | A4 Paper (box) | 4
April | 2023-04-22 21:37:09 | [NAME] | 4
April | 2023-04-22 21:37:25 | [NAME] | 3
April | 2023-04-22 21:37:42 | Bucket | 3
Spreadsheet: 1574d32f-39b0-4a51-ae7d-90cbefa71c37
Sheet: Sheet1

Table 10--U.S. actual and projected cotton acreage | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
 |  | Projected | Projected
 | Actual | March | June
State/region | 2012 | 2013 1/ | 2013 2/ | 2013/2012
 | 1,000 acres |  |  | Percent
Upland:
Alabama | 380 | 360 | 330 | 86.8421052631579
Florida | 108 | 115 | 125 | 115.7407407407407
Georgia | 1290 | 1300 | 1300 | 100.7751937984496
N. Carolina | 585 | 450 | 420 | 71.7948717948718
S. Carolina | 299 | 290 | 280 | 93.64548494983278
Virginia | 86 | 65 | 70 | 81.3953488372093
Southeast | 2748 | 2580 | 2525 | 91.88500727802038
Arkansas | 595 | 270 | 320 | 53.78151260504202
Louisiana | 230 | 170 | 130 | 56.52173913043478
Mississippi | 475 | 270 | 320 | 67.36842105263158
Missouri | 350 | 270 | 270 | 77.14285714285715
Tennessee | 380 | 280 | 260 | 68.42105263157895
Delta | 2030 | 1260 | 1300 | 64.03940886699507
Kansas | 56 | 40 | 30 | 53.57142857142857
Oklahoma | 305 | 160 | 150 | 49.18032786885246
Texas | 6550 | 5500 | 5700 | 87.02290076335878
Southwest | 6911 | 5700 | 5880 | 85.08175372594414
Arizona | 200 | 160 | 170 | 85
California | 142 | 90 | 120 | 84.50704225352112
New Mexico | 45 | 30 | 30 | 66.66666666666666
West | 387 | 280 | 320 | 82.68733850129199
Total Upland | 12076 | 9820 | 10025 | 83.01589930440542
Pima:
Arizona | 3 | 1 | 1 | 33.33333333333333
California | 225 | 190 | 210 | 93.33333333333333
New Mexico | 2 | 4 | 4 | 200
Texas | 8 | 11 | 11 | 137.5
Total Pima | 238 | 206 | 226 | 94.9579831932773
Total All | 12314 | 10026 | 10251 | 83.24671106058146
1/  Planting intentions as indicated by reports from farmers.
2/  Total acres planted or intended to be planted.
Source:  USDA, Acreage report.
Last update: 7/15/13.
Spreadsheet: 468333d1467230351-auto-fill-university-of-innsbruck
Sheet: Scopus non-self

Cited by | Authors | Title | Year | Source title | Document Type |  |  | ANA | ANC | NC/P | A/P | LNCA (%) | Departmental h-index
57 | Emshoff, R., Bösch, R., Pümpel, E., Schöning, H., Strobl, H. | Low-level laser therapy for treatment of temporomandibular joint pain: a double-blind and placebo-controlled trial | 2008 | Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology and Endodontology | Article |  |  | 10 | 88 | 8.8 | 5.7 | 20 | 5
8 | Emshoff, R., [NAME], [NAME], Rudisch, A., Laimer, K., Neunteufel, N., [NAME], A. | Are temporomandibular joint disk displacements without reduction and osteoarthrosis important determinants of mandibular backward positioning and clockwise rotation? | 2011 | Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology and Endodontology | Article
6 | Heiser, [NAME], Richter, M., Niederwanger, A., Neunteufel, N., Kulmer, S. | Association of the canine guidance angle with maxillary and mandibular intercanine widths and anterior alignment relapse: Extraction vs nonextraction treatment | 2008 | American Journal of Orthodontics and Dentofacial Orthopedics | Article
5 | Bertram, S., Moriggl, A., Neunteufel, N., Rudisch, A., Emshoff, R. | Lateral cephalometric analysis of mandibular morphology: Discrimination among subjects with and without temporomandibular joint disk displacement and osteoarthrosis | 2012 | Journal of Oral Rehabilitation | Article
5 | Emshoff, R., [NAME], [NAME], Rudisch, A., Brunold, S., Neunteufel, N., [NAME], A. | Cephalometric variables discriminate among magnetic resonance imaging-based structural characteristic groups of the temporomandibular joint | 2011 | Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology and Endodontology | Article
3 | Petersen, J., Glaßl, E.-M., Nasseri, P., [NAME], [NAME], Luger, [NAME], Schoenherr, E., Bertl, K., Glodny, B. | The association of chronic apical periodontitis and endodontic therapy with atherosclerosis | 2014 | Clinical Oral Investigations | Article
2 | Glodny, B., Nasseri, P., Crisman, [NAME], Schoenherr, E., [NAME], A.K., Bertl, K., [NAME], J. | The occurrence of dental caries is associated with atherosclerosis | 2013 | Clinics | Article
2 | Bertl, M.H., Weinberger, [NAME], Schwarz, K., [NAME], R., Crismani, A.G. | Resonance frequency analysis: A new diagnostic tool for dental ankylosis | 2012 | European Journal of Oral Sciences | Article
0 | Fleischmann, [NAME], [NAME], [NAME], Falkensammer, F., Bantleon, H.-P., Rausch-Fan, X., [NAME], O. | Behavior of osteoblasts on TI surface with two different coating designed for orthodontic devices | 2015 | Journal of Materials Science: Materials in Medicine | Article
0 | Čelar, A., [NAME], [NAME], [NAME], Graf, A. | Guided and unguided mandibular reference positions in asymptomatic individuals | 2013 | Orthodontics and Craniofacial Research | Article
Spreadsheet: 1ef50df9-fd95-4868-9812-e00d22eb4d07
Sheet: 9a

Product1 | Cleared2 | Uncleared | TOTAL
Fixed-Float | 875211 | 455089 | 1330300
FRA | 8554 | 28817 | 37371
OIS | 44275 | 80153 | 124428
OTHER* | 12299 | 251229 | 263528
TOTAL | 940339 | 815288 | 1755627
*OTHER variable includes the following products: Basis, Cap/Floor, Debt Option, Exotic, Fixed-Fixed, Inflation, and Swaption.
Spreadsheet: 849105d1699636542-choose-rows-function-choose-rows-query
Sheet: Query

 | =CHOOSEROWS(A4:D13, {2,4,6,8,10})
 | Live Trade - Filter
 | Up |  |  | Down
 | EUR/GBP |  |  | EUR/GBP
 | EUR/AUD |  |  | EUR/AUD
 | EUR/CAD |  |  | EUR/CAD
 | EUR/CHF |  |  | EUR/CHF
 | EUR/USD |  |  | EUR/USD
 | EUR/JPY |  |  | EUR/JPY
 | EUR/NZD |  |  | EUR/NZD
 | GBP/AUD |  |  | GBP/AUD
 | GBP/CAD |  |  | GBP/CAD
 | GBP/CHF |  |  | GBP/CHF
 | GBP/USD |  |  | GBP/USD
 | GBP/JPY |  |  | GBP/JPY
 | GBP/NZD |  |  | GBP/NZD
 | AUD/CAD |  |  | AUD/CAD
 | AUD/CHF |  |  | AUD/CHF
 | AUD/USD |  |  | AUD/USD
 | AUD/JPY |  |  | AUD/JPY
 | AUD/NZD |  |  | AUD/NZD
 | NZD/CAD |  |  | NZD/CAD
 | NZD/CHF |  |  | NZD/CHF
 | NZD/USD |  |  | NZD/USD
 | NZD/JPY |  |  | NZD/JPY
 | CAD/CHF |  |  | CAD/CHF
 | CAD/JPY |  |  | CAD/JPY
 | CHF/JPY |  |  | CHF/JPY
 | USD/CAD |  |  | USD/CAD
 | USD/CHF |  |  | USD/CHF
 | USD/JPY |  |  | USD/JPY
Spreadsheet: 757648d1638377036-matching-duplicates-in-two-sheets-test
Sheet: Sheet1

Match Found in B, C, D or E | Home | Home2 | Home3 | Home4 |  |  |  | Either |  | or
Match Found | Happy | Smith | Smith | 5566
Match Found | sad | egg | old | apple
No Match Found | butter | candy | yound | yound
Match Found | home | candy | home | 9874
Match Found | 1575 | wrapper | 1575 | 3397
Match Found | 9874 | 1111 | 1111 | 1111
Match Found | 3397 | supper | supper | supper
Match Found | 5972 | old | 5972 | Happy
Match Found | 1298 | yound | 1298 | sad
 | ff | ff | gg | hh
Spreadsheet: 824065d1680273404-using-conditional-formatting-to-highlight-columns-with-same-in-same-rows-short-term-real-trades-4-oct-2013-study-35-1-
Sheet: Sheet1

 |  |  |  | 1 ext | t2 | t3 | [NAME] | t5 | t6 | t7 | t8 | t9 | t10 | t11 | t12 | t13 | t14 | t15
1st |  |  |  | 0 | 0 | 0 | 2 | 2 | 2 | 0 | 3 | 3 | 7 | 6 | 6 | 8 | 8 | 11
2nd |  |  | all | 0 | 0 | 0 | 2 | 2 | 2 | 0 | 3 | 3 | 8 | 6 | 6 | 9 | 9 | 12
3rd |  |  | [NAME]) | 0 | 0 | 0 | 2 | 2 | 2 | 2 | 3 | 4 | 9 | 6 | 7 | 10 | 11 | 14
4th |  |  | all(s/fexp) | 0 | 0 | 1 | 3 | 3 | 3 | 2 | 4 | 5 | 11 | 10 | 9 | 16 | 15 | 19
5th |  |  | all(s/fexp) | 0 | 0 | 1 | 3 | 3 | 3 | 3 | 4 | 6 | 12 | 13 | 12 | 21 | 19 | 26
6th |  |  | all(s/fexp) | 0 | 0 | 1 | 3 | 5 | 4 | 3 | 4 | 6 | 13 | 16 | 15 | 28 | 22 | 32
7th |  |  |  | 0 | 0 | 1 | 3 | 5 | 4 | 3 | 4 | 7 | 14 | 17 | 17 | 30 | 26 | 36
 |  |  |  | 1 ext | t2 | t3 | [NAME] | t5 | t6 | t7 | t8 | t9 | t10 | t11 | t12 | t13 | t14 | t15
1st |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 3 | 2 | 4 | 4 | 6
2nd |  |  | all | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 2 | 2 | 4 | 4 | 3 | 5 | 5 | 7
3rd |  |  | [NAME]) | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 2 | 4 | 4 | 5 | 5 | 7 | 7 | 9
4th |  |  | all(s/fexp) | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 2 | 4 | 4 | 8 | 5 | 9 | 8 | 11
5th |  |  | all(s/fexp) | 1 | 1 | 2 | 1 | 3 | 2 | 2 | 4 | 7 | 6 | 10 | 12 | 15 | 16 | 20
6th |  |  | all(s/fexp) | 1 | 1 | 2 | 1 | 4 | 2 | 2 | 5 | 8 | 6 | 13 | 16 | 20 | 21 | 24
7th |  |  |  | 1 | 1 | 2 | 1 | 4 | 2 | 2 | 5 | 8 | 6 | 13 | 16 | 20 | 21 | 24
 |  |  |  |  |  | EXCEL STUDY
 |  |  |  | 1 ext | t2 | t3 | [NAME] | t5 | t6 | t7 | t8 | t9 | t10 | t11 | t12 | t13 | t14 | t15
1st |  |  |  | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 3 | 5 | 2 | 2 | 3 | 5
2nd |  |  | all | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 3 | 5 | 2 | 2 | 3 | 5
3rd |  |  | [NAME]) | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 3 | 7 | 2 | 2 | 5 | 6
4th |  |  | all(s/fexp) | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 3 | 7 | 2 | 4 | 7 | 8
5th |  |  | all(s/fexp) | 1 | 0 | 1 | 1 | 1 | 1 | 3 | 1 | 2 | 7 | 9 | 5 | 8 | 11 | 13
6th |  |  | all(s/fexp) | 1 | 0 | 1 | 1 | 1 | 1 | 4 | 2 | 3 | 9 | 10 | 8 | 12 | 13 | 18
7th |  |  |  | 1 | 0 | 1 | 1 | 1 | 1 | 4 | 2 | 3 | 9 | 10 | 8 | 12 | 13 | 18