tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 1eadc1b6-b930-4553-b37f-bcec889b8a98
Sheet: Sheet1

Table 4--Cottonseed:  U.S. supply and disappearance | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
 | Supply |  |  |  |  | Disappearance
Year beginning | Beginning |  |  |  |  |  |  |  |  | Ending
August 1 | stocks | Production | Imports | Total |  | Crush | Exports | Other | Total | stocks
 | 1,000 short tons
2011/12 | 617.563 | 5370 | 71.60123601533701 | 6059.164236015337 |  | 2400 | 132.579800752266 | 3096.584435263071 | 5629.164236015337 | 430
2012/131 | 430 | 5666 | 100 | 6196 |  | 2500 | 180 | 3024 | 5704 | 492
2013/142 | 492 | 4367 | 100 | 4959 |  | 2200 | 150 | 2204 | 4554 | 405
1 Estimated.  2 Forecast.
Sources: USDA, National Agricultural Statistics Service, Crop Production and U.S. Department of Commerce,
U.S. Census Bureau, Foreign Trade Statistics.
Last update: | 2013-08-23 11:13:22.290000
Spreadsheet: 2091bc5d-9e24-4e3b-98b9-28b8e02c219e
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
Response | Form of best-fitting multiple regresion model | AICc | R2 | P of proximity term
Ln(Prey-arthropod abundance + 1) | (Proximity)2 + Mound ID | 166.1752363636364 | 0.38 | 0.03
Ln(Prey-arthropod biomass + 0.0001) | Ln(Proximity) | 265.9221044776119 | 0.02 | 0.29
Ln(Predatory-arthropod abundance) | Proximity + Mound ID | 84.75 | 0.68 | < 0.0001
Ln(Predatory-arthropod biomass) | (Proximity)2 + Mound ID + Tree size | 172.75 | 0.43 | < 0.0001
Ln(Total-arthropod abundance) | (Proximity)2 + Mound ID + Ln(Tree size) | 104.36 | 0.64 | < 0.0001
Ln(Total-arthropod biomass) | (Proximity)2 + Mound ID | 149.75 | 0.39 | 0.0003
Ln(Total spiderlings/female) | (Proximity)2 + Carapace width | 154.6 | 0.23 | < 0.0001
Ln(Mean spiderlings/egg case/female) | (Proximity)2 + Carapace width | 128.9295363636364 | 0.08 | 0.05
Spreadsheet: 1a13b112-2d1f-44d6-8e39-25fbd83e7c53
Sheet: Sheet1

ANON# | RANK
13047 | 16
16543 | 5
20452 | 9
20558 | 17
21764 | 11
22128 | 4
22873 | 12
28075 | 2
54534 | 15
66300 | 1
72777 | 7
75973 | 13
78054 | 3
84379 | 18
92647 | 8
94648 | 10
95110 | 6
98352 | 14
Spreadsheet: drew_fossum__8882__MarchForecast
Sheet: NNG-VARIANCE

 | Enron Transportation & Storage - Marketing
 | First Quarter Forecast
 | Margins
 | Millions of Dollars
 | NORTHERN NATURAL GAS COMPANY
 |  |  |  | Jan | Feb | March | Total
 | Mid Am capacity Option & East Leg Spreads |  |  | -0.1 | -0.1 | -0.1 |  |  | Price Spreads
 | Noram Seasonal Rate shaping |  |  | 0.1 | 0.1 | 0.1 |  |  | Will be offset in summer
 | New Contracts |  |  | 0.1 | 0.1 | 0.1 |  |  | Firm contract replacing overun -offset in summer
 | UCU CCI no turnback |  |  | 0.1 | 0.1 | 0.1 |  |  | Contract did not terminate
 | MDQ variances |  |  | 0 | 0 | 0.1 |  |  | [NAME]
 | Seasonal rate PPA's |  |  | 0 | 0.3 | 0 |  |  | Terra, MN Corn, US Gypsum (11/99-1/00)
 | South Onshore Demarc Strategy |  |  | 0.2 | 0.2 | 0.2 |  |  | [NAME] (ENA etc.)
 | G/L vs. [NAME] difference |  |  | 0.1 | 0.1 | 0
 | Subtotal Demand
 | Midwest Commodity |  |  | 0 | 0 | 0 |  |  | Assumes normal weather in Mar
 | Offshore commodity |  |  | 0 | -0.1 | -0.1 |  |  | Production decline
 | South Onshore Commodity |  |  | 0.4 | 0.5 | 0.2 |  |  | Price variance on TF
 | G/L vs. [NAME] difference |  |  | -0.1 | 0.1 | 0
 | Subtotal Commodity
 | Storage IDD Timing |  |  | 0.2 | 0.1 | 0 |  |  | Timing from second quarter
 | Operational Storage Purchase Options |  |  | 0.2 | 0.2 | 0 |  |  | Storage options
 | G/L vs. [NAME] difference |  |  | 0 | 0.1 | 0
 | Subtotal Storage Commodity
 | UCU Deferral |  |  | 0 | -0.4 | -0.1 |  |  | [NAME] for Oct payment per agmt
 | PAGUS/Wisconsin Gas |  |  | 0 | 0 | -0.2 |  |  | PAGUS PPA/Wisconsin Gas reserve
 | Structured Products |  |  | 0 | 0 | -0.1 |  |  | Assumes zero SP
 | PPA |  |  | 0.3 | 0 | 0 |  |  | Coral MDQ correction
 | DDVC |  |  | -0.3 |  | -0.1 |  |  | Assumes zero DDVC
 | Total Variance
Spreadsheet: 772415d1647262996-identify-consecutive-number-strings-book1
Sheet: Sheet1

2803
5953
1916
2853
1234 |  |  |  | Yes
3811
3414
3854
0418
2345 |  |  |  | Yes
0334
4705
0932
1234567 |  |  |  | Yes
4932
0637
7900
9011
0123 |  |  |  | Yes
Spreadsheet: 3b26c40d-dfdc-483e-9cd7-6e7aa135c83b
Sheet: Sheet1

Table 9--U.S. cotton textile exports, by destination | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
 | July | Aug. | Sep. | Sep.
Region/country | 2012 | 2012 | 2012 | 2011
 | 1,000 pounds 1/
North America | 124109.145 | 130804.242 | 130924.624 | 132176.061
Bahamas | 132.246 | 103 | 76 | 135
Canada | 10567.837 | 11331.063 | 10131.369 | 10868.948
Costa Rica | 307.365 | 312.535 | 401.632 | 378.531
Dominican Republic | 24497.503 | 23956.869 | 22534.153 | 26477.387
El Salvador | 10201.871 | 10114.83 | 12385.544 | 11486.487
Guatemala | 1751.625 | 2120.62 | 2425.878 | 2612.8
Haiti | 680.866 | 558.836 | 918.293 | 500.642
Honduras | 49162.937 | 53380.428 | 54553.992 | 52175.54
Jamaica | 65.624 | 63 | 61 | 75
Mexico | 24647.769 | 26526.128 | 24908.519 | 25136.197
Nicaragua | 1515.354 | 1703.367 | 1878.376 | 1605.604
Panama | 289.96 | 234.846 | 315.558 | 499.053
South America | 3550 | 3987.081 | 3275.917 | 2282.053
Brazil | 451.699 | 591.244 | 380.691 | 561.62
Chile | 250.129 | 439.814 | 194.612 | 353.46
Colombia | 2022.003 | 2011.582 | 1952.214 | 584.294
Peru | 198.867 | 216.133 | 167.919 | 122.05
Venezuela | 360.287 | 394.541 | 400.915 | 402.227
Europe | 2706.087 | 3257.731 | 2979.492 | 3009.104
Belgium | 210.277 | 392.933 | 316.825 | 359.782
France | 89.019 | 108.533 | 114 | 120
Germany | 394.631 | 550.747 | 568.806 | 562.093
Italy | 155.695 | 144 | 186.704 | 178.151
Netherlands | 348.205 | 463.665 | 335.345 | 272.155
Russia | 56.285 | 45 | 62 | 161.644
Turkey | 143.499 | 157.711 | 48 | 79
United Kingdom | 956.027 | 916.22 | 878.361 | 878.644
Asia | 8836.206 | 8002.451 | 8784.45 | 7734.204
Bangladesh | 8 | 5 | 3 | 1
China | 5606.632 | 4041.774 | 4666.339 | 3718.765
Hong Kong | 500.135 | 446.562 | 489.66 | 509.42
India | 242.531 | 351.257 | 321.108 | 468.846
Israel | 76.469 | 179.006 | 186.092 | 192.361
Japan | 965.865 | 1288.894 | 963.096 | 938.88
Pakistan | 30.44 | 3 | 17 | 65
Saudi Arabia | 124.544 | 151.239 | 121.303 | 102
Singapore | 188.906 | 220.225 | 151.537 | 203.249
South Korea | 301.668 | 447.067 | 656.502 | 561.442
Taiwan | 80.038 | 66 | 71 | 121
United Arab Emirates | 212.411 | 297.5 | 333.133 | 188.554
Oceania | 705.004 | 615.131 | 1020.182 | 807.807
Australia | 577.708 | 522.963 | 737.34 | 641.239
Africa | 313 | 239.99 | 396.356 | 298
South Africa | 98 | 90 | 90 | 93
World 2/ | 140219.039 | 146907 | 147381.019 | 146357
1/ Raw-fiber equivalent.  2/ Totals may not add due to rounding.
Last update: 12/12/12.
Sources: USDA, Economic Research Service; and USDC,
U.S. Census Bureau.
Spreadsheet: 159279d1338566908-using-drop-down-menus-to-select-fill-multiple-cells-zombies-test
Sheet: All

[NAME]
IQ | 3.115680787656894 |  | Hands | 8.236931632133334 |  | AR | 14 |  | Bite | 2d6
ME | 1.394254044357207 |  | Arms | 9.836252423995433 |  | HF | 13 |  | Head Butt | 2d4+ | 6.202733293291733
MA | 3.237712332574279 |  | Feet | 10.81387726366957 |  | PPE | 1.039408472678524 |  | Punch/Claw | 1d6+ | 6.202733293291733
PS | 21.20273329329173 |  | Legs | 8.368270418114232 |  | hp | 16.81844199278398 |  | [NAME] | 2d4+ | 6.202733293291733
PP | 2.566886068052316 |  | [NAME] | 9.186773131459939
PE | 16.81844199278398 |  | Neck | 11.54918546787423 |  | Strike | +2
PB | 2.4831647925241 |  | Head | 23.32608030363096 |  | Initiative | -2
Spd | 8.879830844231883 |  | Body | 40.7910740343526 |  | Perception | -7
CRAWLER
IQ | 3.513909221108705 |  | Hands | 7.670044079200862 |  | AR | 14 |  | Bite | 2d6
ME | 4.75273478758341 |  | Arms | 12.27215858291134 |  | HF | 13 |  | Head Butt | 2d4+ | 7.401919362773562
MA | 1.017695832531459 |  | Feet | N/A |  | PPE | 3.754421381512324 |  | Punch/Claw | 1d6+ | 7.401919362773562
PS | 22.40191936277356 |  | Legs | N/A |  | hp | 12.01853429120499 |  | [NAME] | N/A
PP | 9.137973951311906 |  | [NAME] | 6.29323592423901 |  | Strike | +2
PE | 12.01853429120499 |  | Neck | 13.73024646902466 |  | Initiative | -2
PB | 5.720849433303027 |  | Head | 20.76533248076853 |  | Perception | -7
Spd | 7.677923586210653 |  | Body | 35.87631085667237 |  | [NAME] | +2
FAST ATTACK
IQ | 6.139563844332728 |  | Hands | 5.051058077972355 |  | AR | 14 |  | Bite | 2d6
ME | 6.100476845135727 |  | Arms | 7.843475887023743 |  | HF | 13 |  | Head Butt | 2d4+ | 12.13252430316564
MA | 4.515688466545516 |  | Feet | N/A |  | PPE | 3.516919904334237 |  | Punch/Claw | 1d6+ | 12.13252430316564
PS | 27.13252430316564 |  | Legs | N/A |  | hp | 16.84408884914221 |  | [NAME] | 2d6+ | 12.13252430316564
PP | 13.20787164421714 |  | [NAME] | 4.064549425684168 |  | Strike/Dodge | +2 |  | Pounce | 1d4 |  | 01-50% Knockdown/01-40% Pinned
PE | 16.84408884914221 |  | Neck | 12.55224275805408 |  | Initiative | -1 |  | [NAME] | 3d8+ | 12.13252430316564 | Counts as 2 Attacks
PB | 5.85231875631827 |  | Head | 17.12855832610935 |  | Perception | -5 |  | K-down/Push/Trip | 1d6 |  | 01-70% Knockdown, [NAME] and 1 Attack
Spd | 16.76032061203427 |  | Body | 36.86622239225413 |  | [NAME] | +1
FLESH EATING
IQ | 6.950622696968554 |  | Hands | 6.006685467065009 |  | AR | 12 |  | Bite | 2d6
ME | 3.604901611186953 |  | Arms | 9.89995410373841 |  | HF | 13 |  | Head Butt | 2d4+ | 14.18160325912837
MA | 3.145667922721909 |  | Feet | 10.86945835860748 |  | PPE | 3.863971862767444 |  | Punch/Claw | 1d6+ | 14.18160325912837
PS | 29.18160325912837 |  | Legs | 12.74845243107857 |  | hp | 18.20726576568035 |  | [NAME] | 2d4+ | 14.18160325912837
PP | 9.052061922331958 |  | [NAME] | 4.825046746759224 |  | Disarm | -1
PE | 18.20726576568035 |  | Neck | 15.06281837936724 |  | Strike | +3
PB | 6.189212978899901 |  | Head | 22.11142026799377 |  | Initiative | 0
Spd | 13.5101697410287 |  | Body | 45.06177165736321 |  | Perception | -3
Spreadsheet: 874176d1720739339-filter-formula-filter-for-several-criteria-array-in-another-array-exampleproblem-filter
Sheet: Sheet1

Cable name | Cable from | Cable to |  | Search terms (if I know exactly what I want to search) |  |  | List all relevant cables | Cable from | Cable to | Question: How would the formula look like to achive the yellow "assessment"/filtering?
 | OriginA | DestinationA |  | OriginA |  |  | OriginA-DestinationA | OriginA | DestinationA
 | OriginA | DestinationS |  | OriginD |  |  | OriginA-DestinationS | OriginA | DestinationS
 | OriginA | DestinationT |  | OriginM |  |  | OriginA-DestinationT | OriginA | DestinationT
 | OriginB | DestinationB |  | [NAME] |  |  | OriginD-DestinationD | OriginD | DestinationD
 | OriginC | DestinationC |  | OriginQ |  |  | OriginM-DestinationM | OriginM | DestinationM
 | OriginD | DestinationD |  |  |  |  | OriginP-DestinationP | [NAME] | DestinationP
 | OriginE | DestinationE |  |  |  |  | [NAME] | [NAME] | DestinationV
 | OriginF | DestinationF |  |  |  |  | OriginP-DestinationW | [NAME] | DestinationW
 | OriginG | DestinationG |  |  |  |  | [NAME] | OriginQ | DestinationQ
 | OriginH | DestinationH
 | OriginI | DestinationI |  | Search terms (if I know only parts of what I want to search) |  |  | OriginA-DestinationA | OriginA | DestinationA | Question: How would the formula look like to achive the green "assessment"/filtering?
 | OriginJ | DestinationJ |  |  |  |  | OriginA-DestinationS | OriginA | DestinationS
 | OriginK | DestinationK |  | Or*inA |  |  | OriginA-DestinationT | OriginA | DestinationT
 | OriginL | DestinationL |  | *iginD |  |  | OriginD-DestinationD | OriginD | DestinationD
 | OriginL | [NAME] |  | Orig*nP |  |  | OriginP-DestinationP | [NAME] | DestinationP
 | OriginM | DestinationM
 | OriginN | DestinationN
 | OriginO | DestinationO
 | [NAME] | DestinationP
 | [NAME] | DestinationV
 | [NAME] | DestinationW
 | OriginQ | DestinationQ
 | OriginR | DestinationR
Spreadsheet: 578891d1529551005-yearly-roster-day-count-to-date-roster-in-work
Sheet: Sheet2

 | Year: | 2018
Spreadsheet: 698565d1602056199-proportional-distribution-upto-the-cap-test-13-
Sheet: Iteration 1 

Example 1
 |  | Inventory Available |  | 7000
 | Total
 | Item | Required | [NAME] cap | Requirement with cap
 | A | 0 | 2000 | 0
 | B | 4000 | 2000 | 2000
 | C | 4500 | 5000 | 5000
 | D | 0 | 5000 | 0
Example 2 |  | Inventory Available |  | 7000
 | Total
 | Item | Required | [NAME] cap | Requirement with cap
 | A | 2000 | 2000 | 1333.331304347826
 | B | 4000 | 2000 | 2000
 | C | 4500 | 5000 | 3000.000434782609
 | D | 1000 | 5000 | 666.665652173913
Spreadsheet: 876927d1723639968-grouping-students-in-order-of-preference-sort-students-according-to-their-voting-preferences-in-groups-of-3-lawyernotit-
Sheet: Sheet2

Student | Preference 1 | Preference 2 | Preference 3 |  | Preference 1 | Preference 2 | Preference 3 |  |  |  | Grouping students in order of preference (excelforum.com)
Daphne Green | Tuesday 10-11:30 | Wednesday 10-11:30 | Friday 10-11:30
[NAME] | Wednesday 16-17:30 | Wednesday 10-11:30 | Wednesday 14-15:30
Sophie Boulder | Friday 10-11:30 | Thursday 16-17:30 | Wednesday 14-15:30
Student 04 | Wednesday 14-15:30 | Tuesday 16-17:30 | Friday 10-11:30
Student 05 | Tuesday 16-17:30 | Friday 14-15:30 | Friday 14-15:30
Student 06 | Friday 10-11:30 | Thursday 10-11:30 | Friday 14-15:30
Student 07 | Friday 14-15:30 | Tuesday 16-17:30 | Friday 10-11:30
Student 08 | Tuesday 16-17:30 | Thursday 10-11:30 | Friday 14-15:30
Student 09 | Thursday 10-11:30 | Friday 14-15:30 | Friday 10-11:30
Student 10 | Friday 10-11:30 | Wednesday 14-15:30 | Thursday 10-11:30
Student 11 | Wednesday 14-15:30 | Friday 10-11:30 | Friday 14-15:30
Student 12 | Friday 14-15:30 | Friday 10-11:30 | Friday 14-15:30
Student 13 | Friday 10-11:30 | Thursday 10-11:30 | Friday 14-15:30
Student 14 | Wednesday 14-15:30 | Thursday 10-11:30 | Thursday 14-15:30
Student 15 | Thursday 14-15:30 | Wednesday 14-15:30 | Thursday 10-11:30
Student 16 | Wednesday 14-15:30 | Thursday 10-11:30 | Thursday 14-15:30
Student 17 | Tuesday 16-17:30 | Friday 14-15:30 | Wednesday 14-15:30
Student 18 | Thursday 10-11:30 | Wednesday 14-15:30 | Thursday 14-15:30
Student 19 | Thursday 14-15:30 | Friday 10-11:30 | Tuesday 16-17:30
Student 20 | Friday 14-15:30 | Thursday 14-15:30 | Tuesday 10-11:30
Student 21 | Tuesday 10-11:30 | Tuesday 16-17:30 | Wednesday 14-15:30
Student 22 | Wednesday 14-15:30 | Friday 10-11:30 | Tuesday 10-11:30
Student 23 | Thursday 14-15:30 | Tuesday 10-11:30 | Friday 14-15:30
Student 24 | Tuesday 16-17:30 | Friday 14-15:30 | Wednesday 14-15:30
Student 25 | Friday 10-11:30 | Thursday 14-15:30 | Wednesday 14-15:30
Student 26 | Friday 14-15:30 | Thursday 14-15:30 | Wednesday 14-15:30
Sort students according to their voting preferences to work together
https://www.excelforum.com/excel-general/1402352-trying-to-sort-students-according-to-their-voting-preferences-to-work-together.html
 | Timetable | count
 | Tuesday 10-11:30
 | Tuesday 14-15:30
 | Tuesday 16-17:30
 | Wednesday 10-11:30
 | Wednesday 14-15:30
 | Wednseday 16-17:30
 | Thursday 10-11:30
 | Thursday 14-15:30
 | Thursday 16:17:30
 | Friday 10-11:30
 | Friday 14-15:30
Spreadsheet: 53359d1253235638-excel-filtering-revas-template12
Sheet: Template

 |  | SEMESTRAL STUDENT PROJECT SUBMISSION
 | Project  'x' | Go to Main page contents
 | Supervisor:
 | Title:
 | Objective:
 | No. of Students: | 2 |  |  |  |  | 1
 | Budget: | 25 |  |  |  |  | 2
 | Abstract : |  |  |  |  |  | 3
 | Catergory: MB/PS/FS | FS |  |  |  |  | 4 | MB
 | Special Requirement: |  |  |  |  |  | 5 | PS
 |  |  |  |  |  |  | 6 | FS
 | Component/Material Requirement:
 | S/N | Description | Estimated Unit Price | Quantity | Total Price ($)
 | 1 |  | 2/btl | 4
 | 2 |  | 8/pkt | 6
 | 3 |  | 9/box | 7
 | 4
 | 5
 | 6
 | 7
 | 8
 | 9
 | 10
 | 11
 | 12
 | 13
 | 14
 | 15
 | 16
 | 17
 | 18
 | 19
 | 20
 | 21
 | 22
 | 23
 | 24
 | 25
 |  |  |  | Grand Total:
 | Endorsed by: | _______________________________ | _____________________
 |  |  | Name and signature of MC
 |  |  | Date:
Spreadsheet: 77d4b950-a6ef-4506-8af8-dbd9382efda6
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
43199817 | 2014-09-17 19:26:08 | ALLIES | 1 | 5 | 3 | 1228328 | Woodrow Call | 6156 | western | 1944-09-17 | 1944-09-19 | [NAME] | [NAME]
43200049 | 2014-09-17 19:40:02 | AXIS | 0 | 2 | 5 | 1228328 | Woodrow Call | 6156 | western | 1944-09-17 | 1944-09-19 | [NAME] | [NAME]
43225257 | 2014-09-19 18:24:54 | ALLIES | 0 | 5 | 6 | 918080 | humanoid93 | 6155 | western | 1944-09-19 | 1944-09-19 | Arracourt | Arracourt
43225526 | 2014-09-19 18:46:57 | AXIS | 0 | 4 | 6 | 918080 | humanoid93 | 6155 | western | 1944-09-19 | 1944-09-19 | Arracourt | Arracourt
Spreadsheet: 37e08b2e-f0db-4ca6-9a96-2930b847fcf5
Sheet: Syndromic_and_nonsyndromyc_deaf

geneid | [NAME] | Expressed? | cluster
14051 | Espn | 56226 | Cluster_2
20776 | Eya4 | 14051 | Cluster_2
23985 | Marveld2 | 218518 | Cluster_2
56226 | Myh14 | 71960 | Cluster_2
71960 | Otoa | 246190 | Cluster_2
72088 | Otof | 83762 | Cluster_2
83762 | Slc26a4 | 23985 | Cluster_2
140765 | Tmie | 20776 | Cluster_2
218518 | Tmprss3 | 140765 | Cluster_2
246190 | Ush1c | 72088 | Cluster_2
13618 | Ednrb | 13618 | Cluster_3
20665 | Sox10 | 20665 | Cluster_3
12814 | Col11a1 | 12814 | Cluster_4
12824 | Col2a1 | 12824 | Cluster_4
12830 | Col4a5 | 12830 | Cluster_4
14048 | Eya1 | 14048 | Cluster_4
14619 | Gjb2 | 14619 | Cluster_4
14623 | Gjb6 | 14623 | Cluster_4
20471 | Six1 | 20471 | Cluster_4
12810 | [NAME] | 12810 | Cluster_6
21683 | Tecta | 21683 | Cluster_7
17920 | Myo6 | 17920 | Cluster_8
18994 | Pou3f4 | 18994 | Cluster_9
20583 | [NAME] | 20583 | Cluster_9
11465 | Actg1 | 0 | 0
22295 | Cdh23 | 0 | 0
56173 | [NAME] | 0 | 0
12828 | Col4a3 | 0 | 0
12829 | Col4a4 | 0 | 0
666279 | Dspp | 0 | 0
13616 | Edn3 | 0 | 0
26380 | Esrrb | 0 | 0
14233 | Foxi1 | 0 | 0
14620 | Gjb3 | 0 | 0
100039343 | Gm9797 | 0 | 0
16535 | Kcnq1 | 0 | 0
328789 | Lhfpl5 | 0 | 0
17910 | Myo15 | 0 | 0
432516 | Myo1a | 0 | 0
667663 | Myo3a | 0 | 0
17921 | Myo7a | 0 | 0
11994 | Pcdh15 | 0 | 0
18998 | Pou4f3 | 0 | 0
13409 | Tmc1 | 0 | 0
16470 | [NAME] | 0 | 0
110789 | Vlgr1 | 0 | 0
12815 | Col11a2 | 12815 | 0
12839 | Col9a1 | 12839 | 0
13367 | Diap1 | 13367 | 0
16509 | [NAME] | 16509 | 0
17342 | Mitf | 17342 | 0
17886 | [NAME] | 17886 | 0
17986 | Ndp | 17986 | 0
18505 | Pax3 | 18505 | 0
19139 | Prps1 | 19139 | 0
19684 | Rdx | 19684 | 0
20475 | Six5 | 20475 | 0
21453 | Tcof1 | 21453 | 0
22283 | Ush2a | 22283 | 0
22393 | Wfs1 | 22393 | 0
54722 | Dfna5 | 54722 | 0
60613 | Kcnq4 | 60613 | 0
73750 | Whrn | 73750 | 0
110253 | Triobp | 110253 | 0
140476 | Strc | 140476 | 0
229320 | Clrn1 | 229320 | 0
Spreadsheet: b143a05f-0452-426e-938c-0965a6ff5796
Sheet: Sheet1

Unnamed: 0 | STATE OF NEW HAMPSHIRE - STATE PRIMARY ELECTION | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 |  | United States Senator - Republican
2010-09-14 00:00:00
Summary By Counties | [NAME], r | [NAME], r | [NAME], r | [NAME], r | [NAME], r | Ovide Lamontagne, r | [NAME], r
Belknap | 1187 | 93 | 22 | 721 | 3318 | 3012 | 25
Carroll | 1228 | 64 | 19 | 529 | 2808 | 2614 | 31
Cheshire | 1125 | 82 | 26 | 619 | 2693 | 1850 | 33
Coos | 283 | 56 | 14 | 217 | 1263 | 1004 | 6
[NAME] | 1228 | 93 | 28 | 721 | 3343 | 2612 | 56
Hillsborough | 4337 | 297 | 95 | 3828 | 15519 | 16798 | 127
Merrimack | 2136 | 153 | 41 | 1326 | 7066 | 6552 | 58
Rockingham | 5862 | 327 | 104 | 3193 | 11882 | 12744 | 120
[NAME] | 1440 | 143 | 43 | 1136 | 3400 | 3156 | 29
[NAME] | 682 | 80 | 10 | 321 | 1764 | 1055 | 14
TOTALS | 19508 | 1388 | 402 | 12611 | 53056 | 51397 | 499
Belknap County | [NAME], r | [NAME], r | [NAME], r | [NAME], r | [NAME], r | Ovide Lamontagne, r | [NAME], r
Alton | 115 | 8 | 2 | 100 | 315 | 428 | 4
Barnstead | 66 | 11 | 0 | 40 | 230 | 210 | 3
Belmont | 96 | 4 | 4 | 53 | 280 | 235 | 2
Center Harbor | 23 | 5 | 0 | 18 | 109 | 70 | 0
Gilford | 229 | 8 | 2 | 96 | 440 | 442 | 2
Gilmanton | 79 | 9 | 3 | 39 | 245 | 159 | 1
[NAME] | 59 | 1 | 0 | 45 | 170 | 139 | 0
[NAME] | 32 | 6 | 0 | 17 | 96 | 106 | 3
[NAME] 3 | 50 | 3 | 2 | 12 | 146 | 115 | 1
[NAME] | 40 | 6 | 1 | 25 | 97 | 133 | 0
[NAME] | 26 | 0 | 0 | 15 | 73 | 76 | 0
[NAME] 6 | 67 | 1 | 1 | 46 | 143 | 146 | 1
Meredith | 161 | 17 | 0 | 126 | 499 | 361 | 5
New Hampton | 42 | 2 | 4 | 30 | 138 | 125 | 0
Sanbornton | 61 | 6 | 1 | 33 | 177 | 146 | 1
[NAME] | 41 | 6 | 2 | 26 | 160 | 121 | 2
TOTALS | 1187 | 93 | 22 | 721 | 3318 | 3012 | 25
Carroll County | [NAME], r | [NAME], r | [NAME], r | [NAME], r | [NAME], r | Ovide Lamontagne, r | [NAME], r
Albany | 20 | 1 | 0 | 16 | 22 | 30 | 0
[NAME] | 93 | 4 | 1 | 16 | 144 | 162 | 1
[NAME] | 10 | 1 | 0 | 5 | 62 | 58 | 0
Chatham | 2 | 0 | 0 | 3 | 10 | 15 | 0
Conway | 189 | 5 | 4 | 43 | 270 | 378 | 3
Eaton | 18 | 1 | 0 | 3 | 20 | 30 | 2
[NAME] | 27 | 6 | 0 | 10 | 53 | 65 | 2
Freedom | 47 | 6 | 0 | 24 | 100 | 102 | 1
Hale's Location | 9 | 1 | 0 | 1 | 17 | 35 | 0
Hart's Location | 1 | 0 | 0 | 1 | 0 | 2 | 0
[NAME] | 47 | 0 | 0 | 12 | 59 | 55 | 0
[NAME] | 70 | 3 | 0 | 24 | 81 | 155 | 0
Moultonborough | 127 | 9 | 3 | 77 | 494 | 295 | 1
Ossipee | 109 | 6 | 4 | 54 | 237 | 181 | 7
Sandwich | 27 | 0 | 0 | 23 | 142 | 56 | 0
Tamworth | 48 | 2 | 1 | 26 | 130 | 109 | 0
Tuftonboro | 68 | 1 | 1 | 39 | 223 | 189 | 2
Wakefield | 112 | 8 | 2 | 64 | 265 | 224 | 3
Wolfeboro | 204 | 10 | 3 | 88 | 479 | 473 | 9
TOTALS | 1228 | 64 | 19 | 529 | 2808 | 2614 | 31
Spreadsheet: 0128f149-dedd-4101-81c0-77ff673bfae2
Sheet: Traditional

IRN (6 digits): |  |  |  |  |  |  |  | APPLICANT:
APPLICANT:
 |  | FY14 | FY16 | FY17 | FY18 | FY19 | FY20 | EXPLAINATION
Do not alter any of the shaded cells. |  | Financial Baseline from the Current Five-Year Forecast | Since FY15 is the grant year, its expenditures are not required in this table.  In the FY16-FY20 columns, ADD only the SUSTAINING COSTS  to the appropriate line items (refer to Question 15), and SUBTRACT only the SUSTAINING COST REDUCTIONS to the appropriate line items (refer to Questions 16 & 17). |  |  |  |  | Explaination  Provide detailed notes regarding the financial impact on each line affected by the grant funds.  These notes are critical to the evaluation of the financial sustainability.
EXPENDITURES - OPERATIONAL |  | FY14 | FY16 | FY17 | FY18 | FY19 | FY20
3.010 | Personal Services (Salaries & Wages)
3.020 | Fringe Benefits
3.030 | Purchased Services
3.040 | Supplies and Materials
3.050 | Capital Outlay
3.060 | Intergovernmental
 | Total Expenditures - Operational
EXPENDITURES - DEBT SERVICE |  | FY14 | FY16 | FY17 | FY18 | FY19 | FY20
4.010 | Debt Service-Principal-All (Historical Only)
4.020 | Debt Service-Principal-Notes
4.030 | Debt Service-Principal-State Loans
4.040 | Debt Service-Principal-State Advances
4.050 | Debt Service-Principal-HB264 Loans
4.055 | Debt Service-Principal-Other
4.060 | Debt Service-Interest and Fiscal Charges
4.300 | Debt Service-Other Objects
 | Total Expenditures - Debt Service
EXPENDITURES - NON-OPERATIONAL |  | FY14 | FY16 | FY17 | FY18 | FY19 | FY20
5.010 | Operating Transfers-Out
5.020 | Advances-Out
5.030 | All Other Financing Uses
 | Total Expenditures - Non-operational
SUSTAINABILITY |  | FY14 | FY16 | FY17 | FY18 | FY19 | FY20
 | TOTAL EXPENDITURES  For FY16-20, total expenditures must be cost neutral (e.g. $0 or less) to prove sustainability.
Spreadsheet: 574987d1527171079-24-combinations-for-any-4-digit-number-book1
Sheet: Sheet1

 |  |  |  | 2143
 |  |  |  | 8097
 |  |  |  | 8128
4321 | <<<<my number |  | 1234 |  | 3241
 |  |  | 4567 |  | 6548
 |  |  | 2314 |  | 4478
enter 4 digit number |  |  | 9876 |  | 9081
 |  |  | 9083 |  | 4312
 |  |  | 7612 |  | 8878
 |  |  | 3214 |  | 5321
 |  |  | 4321 |  | 3345
 |  |  | 3768 |  | 9111
 |  |  | 3421 |  | 7655
 |  | hi lighted all the combination from 4321