tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 844616d1696380645-assistance-in-updating-formula-showing-value-error-book2-excel-365-
Sheet: Table of Contents

[NAME] Personal Fortnightly Budget for the 2024 Financial Year
 | 'Table of Contents'!A1
 | 'How to use this Spreadsheet'!A5
 | 'Notices of Copyright Plagiarism'!A5
 | 'NDIS Payments'!A5
 | 'Income, Cash, or Debit Expenses'!B7
 | 'Income, Cash, or Debit Expenses'!A5
 | 'C''link Repayments'!A5
 | 'Home and Utilities'!A5
 | 'Insurance and Financial'!A5
 | 'Emergency Fund'!A5
 | 'Life Savings'!A5
 | 'Debts - Including Credit Cards'!A5
 | 'Personal, Other'!A5
 | Children!A5
 | Miscellaneous!A5
 | 'Assistance Dogs Aus (Savings)'!A5
 | 'Christmas Club'!A5
 | 'Debts - Excluding Credit Cards'!A5
 | 'Transport and Auto'!A5
 | 'Commonwealth Bank of Australia'!A5
 | PCCU!A5
 | 'QANTAS Money'!A5
 | 'Summary (Totals)'!A5
 | 'Records of Payments,Other Notes'!A5
 | 'Fees and [NAME] List'!A5
 | 'Streaming Services Subscription'!A5
 | 'ANZ QANTAS Visa C C Purchases'!A5
 | 'C C Purchases'!A5
 | cashmeresyrups.com.au!A5
 | 'QANTAS Money C C Purchases'!A5
 | Personal!A5
 | 'Bupa N-E Ambulance Insurance'!A5
 | 'Out Pocket Medical Expenses'!A5
 | '[NAME] Insurance'!A5
 | 'Pharmaceutical Expenses'!A5
 | Electricity!A5
 | 'Telstra Services'!A5
 | 'Debts - M E Adair'!A5
 | 'Debts - J E Adair'!A5
 | 'Debts - ATO HELP'!A5
 | 'Debts - ATO SFSS'!A5
 | 'CBA Funds'!A5
 | 'Christmas Club Funds'!A5
 | 'Debts - mybudget.com.au'!A5
 | 'Emergency Funds'!A5
 | 'Life Savings Funds'!A5
 | 'Assistance Dogs Australia'!A5
 | 'Assistance Dogs Aus (Savings 1)'!A5
 | 'Junction Housing Expenses'!A5
 | 'PCCU Funds'!A5
 | 'QANTAS Money Funds'!A5
 | 'Xtra Credit Card Payments'!A5
 | 'Tuition Fees (J Grieger)'!A5
 | 'Tuition Fees (Larkins B)'!A5
 | 'Tuition Fees (Francesca H-T)'!A5
 | 'Tuition Fees ([NAME] Moraa)'!A5
 | 'Tuition Fees (J [NAME]
 | 'Tuition Fees (and Extras)'!A5
 | 'tafeSA or University Fees'!A5
 | 'Mediation Institute Australia'!A5
 | AOFM!A5
 | '[NAME] Services'!A5
 | 'Friends With Benefits (FWB)'!A5
 | '[NAME]
 | 'startingfresh.com.au (Tanya J)'!A5
 | 'Lay-By List'!A5
 | '[NAME] Press'!A5
 | 'Savings (Money in Jar at home)'!A5
 | 'V-lookup Function'!A5
 | 'Income & Cash or [NAME] (2)'!A5
 | 'Home and Utilities (Leap Year)'!A5
 | 'Income & Cash or [NAME] (3)'!A5
 | 'Pharmaceuticals List (2)'!A5
Spreadsheet: 850440d1700765966-formula-to-compute-purchase-requirements-based-on-delivery-time-sample-file-sumproduct
Sheet: Sheet1

 |  |  |  |  |  |  | Order to be placed (In Advance) |  |  | RESULTS
 |  | 2023-10-01 00:00:00 | 2023-11-01 00:00:00 | 2023-12-01 00:00:00 | 2024-01-01 00:00:00 | 2024-02-01 00:00:00 | 60 days | 30 days | 0 days | 2023-10-01 00:00:00 | 2023-11-01 00:00:00 | 2023-12-01 00:00:00 | 2024-01-01 00:00:00 | 2024-02-01 00:00:00
 |  | 100000 | 175000 | 125000 | 300000 | 60000 | 0.05 | 0.1 | 0.85
 |  | 50000 | 65000 | 80000 | 250000 | 40000 | 0.1 | 0.125 | 0.775
 |  |  |  |  |  |  | Order to be placed (In Advance) |  |  | RESULTS
 |  | 2023-10-01 00:00:00 | 2023-11-01 00:00:00 | 2023-12-01 00:00:00 | 2024-01-01 00:00:00 | 2024-02-01 00:00:00 | 0 days | 30 days | 60 days | 2023-10-01 00:00:00 | 2023-11-01 00:00:00 | 2023-12-01 00:00:00 | 2024-01-01 00:00:00 | 2024-02-01 00:00:00
 |  | 100000 | 175000 | 125000 | 300000 | 60000 | 0.85 | 0.1 | 0.05
 |  | 50000 | 65000 | 80000 | 250000 | 40000 | 0.775 | 0.125 | 0.1
Spreadsheet: 670891d1586167251-vlookup-with-3-creteria-in-different-tabs-verweise-test
Sheet: Basis

Account Name | Country Headquater | Lead Country initaliztion | Account Industry | [NAME] | [NAME] | Team Size | SEARCH A | SEARCH B | SERACH C | OUTPUT
Kunde Y | Germany | DK | Construction, Materials and Natural Resources | 10,001+ employees | 10+ B | 25 | High Value | 2.Warm Lead | 3. SAL
Kunde Y | Germany | DK | Construction, Materials and Natural Resources | 10,001+ employees | 10+ B | 25 | Strategic | 3. Hot | 2. MQL
Kunde Y | Germany | DK | Construction, Materials and Natural Resources | 10,001+ employees | 10+ B | 25 | Low Value | 1.Cold Lead | 3. SAL
Spreadsheet: 0f6784e1-caa3-44e5-9065-5c02f97490f3
Sheet: Sheet1

Wellesley College | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
TRANSCRIPT REQUEST FORM |  |  |  | (Please allow 3-5 business days for processing.)
Complete form and mail to: Wellesley College, Office of the Registrar, 106 Central St., Wellesley, [NAME] or return to the Registrar's Office, Green Hall, Room 334, Monday-Friday, 8:30-4:30PM. Transcripts will not be issued to anyone who has a financial obligation to the College. Please note: we do not accept email requests or credit cards.
STEP 1: PERSONAL INFORMATION:
Last Name: |  |  |  | First Name: |  |  |  | Middle:
Class Yr.: |  | Student ID or SS#: |  |  |  | Telephone:
Name while at Wellesley (if different): |  |  |  |  |  |  | [NAME]:
*Signature (Required by FERPA Law): |  |  |  |  |  |  |  | Date:
STEP 2: TRANSCRIPT REQUEST
CHECK ONE: |  | □ | Official (sealed/signed envelope) |  |  | □ | [NAME] (current students only)
CHECK ALL THAT APPLY:  While you were at Wellesley, I was a/an:
□ | Undergraduate Student |  |  | □ | Wellesley Study Abroad Student (fill in program below)
□ | Summer School Student |  |  |  | Program:
□ | Postbaccalaureate Student
STEP 3: CHECK ALL THAT APPLY
□ | Mail to: |  |  |  |  |  |  | # Copies Requested:
 | Address:
 | Address:
 | Address:
 | City: |  |  | State: |  | Zip:
 | Country:
□ | Fax to: | (additional fees apply) |  | Attention:
 |  |  |  | Fax #:
SPECIAL INSTRUCTIONS:
□ | I wish to pick up my transcript at the Registrar's Office.
□ | Hold until final grades complete. |  |  |  |  |  | Deadline Date:
BEFORE YOU MAIL REQUEST BE SURE:
□ | You have signed this form.
□ | Included payment (check or money order payable to:  Wellesley College).
□ | Complete destination address.
Transcript fee: $5.00 per official transcript.  Outgoing fax fee: $10.00 for domestic, $15.00 international - (includes the transcript fee of $5.00).
For Office Use Only: |  | □ | PD |  |  | Total Transcript Cost:
 |  | □ | AD
 |  | □ | NC
Spreadsheet: jason_wolfe__13515__tpcost
Sheet: Sheet1

El Paso |  | GDA |  | Transwestern | GDA
San Juan |  | 5.045 |  | San Juan | 5.045
Permian |  | 5.125 |  | East of Thoreau | 5.115
San Juan-Border |  |  |  | Citizens
Commodity |  | 0.0261 |  | Commodity | 0.0253
Fuel (3.47%) |  |  |  | Fuel (4.5%)
Total Variable |  |  |  | Total Variable
Permian-Border |  |  |  | [NAME] to EOT
Commodity |  | 0.0435 |  | Commodity | 0.0176
Fuel (3.47%) |  |  |  | Fuel (1.56%)
Total Variable |  |  |  | Total Variable
San Juan-Waha |  |  |  | San Juan to EOT
Commodity |  | 0.0053 |  | Commodity | 0.0176
Fuel (3.47%) |  |  |  | Fuel (1.31%)
Total Variable |  |  |  | Total Variable
Permian-Waha |  |  |  | Thoreau to EOT
Commodity |  | 0.0053 |  | Commodity | 0.0165
Fuel (1.55%) |  |  |  | Fuel (1.31%)
Total Variable |  |  |  | Total Variable
San Juan-AZ/Nev |  |  |  | West Texas to EOT
Commodity |  | 0.0289 |  | Commodity | 0
Fuel (3.47%) |  |  |  | Fuel (1.31%)
Total Variable |  |  |  | Total Variable
Permian-AZ/Nev |  |  |  | IB Link to SJ Pool
Commodity |  | 0.0316 |  | Commodity | 0.0011
Fuel (3.88%) |  |  |  | Fuel (.25%)
Total Variable |  |  |  | Total Variable
Permian-Waha IT |  |  |  | IB Link to EP I/C
Commodity |  | 0.045 |  | Commodity | 0.0033
Fuel (1.55%) |  |  |  | Fuel (.25%)
 |  |  |  | Total Variable
Reservation
9KUB | 5.8 | Monthly
9KUC | 5.8 | Monthly
24568 | 0.2125
24654 | 0.2125
26740 | 0.05
24924 | 0.06
26519 | 0.1031
26520 | 0.2082
Spreadsheet: 826554d1682079916-how-to-convert-the-function-into-vba-custom-user-defined-functions-vba-help
Sheet: Sheet1

 | A | B | C
 | 5 | 6 | 8
 | 6 | 4 | 9
 | 8 | 3 | 5
 | 4 | 9 | 6
 |  |  |  | The value of each column is the minimum value of the numbers
 |  |  |  | VBA user-defined functions ?
Spreadsheet: 118813d1314025709-use-value-in-one-cell-to-paste-a-corresponding-row-estimate-details
Sheet: HP

[NAME] | Dsg | [NAME] | Shp | Grp | D | B | Mass | Ds_i | Dn_i | Wt_i
HP: HP-Shapes |  |  |  |  | [NAME] | [NAME] | kg/m |  | in | lb/ft
* | HP360x174 | * | 4 |  | 361 | 378 | 174 | HP14x117 | 14 | 117
 | HP360x152 | * | 4 |  | 356 | 376 | 152 | HP14x102 | 14 | 102
 | HP360x132 | * | 4 |  | 351 | 373 | 132 | HP14x89 | 14 | 89
 | HP360x108 | * | 4 |  | 346 | 370 | 108 | HP14x73 | 14 | 73
* | HP310x125 | * | 4 |  | 312 | 312 | 125 | HP12x84 | 12 | 84
 | HP310x110 | * | 4 |  | 308 | 310 | 110 | [NAME] | 12 | 74
 | HP310x94 | * | 4 |  | 303 | 308 | 94 | HP12x63 | 12 | 63
 | HP310x79 | * | 4 |  | 299 | 306 | 79 | HP12x53 | 12 | 53
* | HP250x85 | * | 4 |  | 254 | 260 | 85 | HP10x57 | 10 | 57
 | HP250x62 | * | 4 |  | 246 | 256 | 62 | HP10x42 | 10 | 42
* | HP200x54 | * | 4 |  | 204 | 207 | 54 | HP8x36 | 8 | 36
Spreadsheet: 768478d1644995219-running-values-based-on-criteria-errors-in-a-table-learnexcel2
Sheet: Daily

Date | Details | Category | Paids | Sub Details | Income | Expenses | Balance
2022-01-01 00:00:00 | Brought Forward | Opening | Cash |  | 323.5
2022-01-01 00:00:00 | Brought Forward | Opening | ENBD |  | 669.3
2022-01-01 00:00:00 | Brought Forward | Opening | Pay IT |  | 1000
2022-01-01 00:00:00 | Brought Forward | Opening | NoL |  | 113
2022-01-01 00:00:00 | Brought Forward | Opening | SIB |  | 795.55
2022-01-06 00:00:00 | December | Salary | ENBD |  | 1000
2022-01-09 00:00:00 | Dinner | Food | Cash |  |  | 10
2022-01-09 00:00:00 | Water | Beverages | Cash |  |  | 2
2022-01-09 00:00:00 | Breakfast | Food | Cash |  |  | 4.5
2022-01-09 00:00:00 | RTA | Transport | NoL |  |  | 7.5
2022-01-09 00:00:00 | Transport | Transport | Cash | Car lift January |  | 250
2022-01-09 00:00:00 | Dinner | Food | Cash |  |  | 7
2022-01-10 00:00:00 | Office | OfficeRent | Cash | Rent | 500
2022-01-10 00:00:00 | Office | LoanReturn | Cash | Amazon | 969
2022-01-10 00:00:00 | Lunch | Food | ENBD | Office Lunch |  | 18.75 | -18.75
2022-01-10 00:00:00 | Dinner | Food | Cash |  |  | 17 | -17
2022-01-11 00:00:00 | Rent | Room | Cash | January Rent |  | 700 | -500
2022-01-11 00:00:00 | Dinner | Food | Cash |  |  | 10 | -10
2022-01-12 00:00:00 | Dinner | Food | Cash |  |  | 20 | -20
2022-01-12 00:00:00 | Bilal | OutLoan | Cash |  |  | 800 | -800
2022-01-13 00:00:00 | Breakfast | Food | Cash |  |  | 7 | -7
2022-01-13 00:00:00 | Dinner | Food | Cash |  |  | 10 | -10
2022-01-14 00:00:00 | Breakfast | Food | Cash |  |  | 5 | -5
2022-01-14 00:00:00 | Lunch | Food | Cash |  |  | 13 | -13
2022-01-14 00:00:00 | Dinner | Food | Cash |  |  | 5 | -5
2022-01-15 00:00:00 | Breakfast | Food | Cash |  |  | 4 | -4
Spreadsheet: 468611d1467386355-help-with-v-look-up-copy-of-copy-of-packing-slip-template-1-ndm
Sheet: Data

Customer | [NAME] | [NAME] | [NAME] | [NAME] | Ship Street | Ship City | Ship State | [NAME]
[NAME] | 1234 Some St. | [NAME] | Ohio | 123456 | 1234 Some St. | [NAME] | Ohio | 123456
[NAME] | 432 Home Ave. | Myplacecity | Washington | 99999 | 567 Drudery Lane | Workcity | Washington | 99999
[NAME] | 0000 Nowhere St. | Someplace | Alaska | 11111 | 0000 Nowhere St. | Someplace | Alaska | 11111
Spreadsheet: 148686d1333516026-automating-excel-formulas-pivot-solution
Sheet: Sheet1

Team Leader | Employee Name | ACD | [NAME]
May, [NAME] | Abbott, [NAME] | 438 | 218.157531738
May, [NAME] | Acosta, [NAME] | 384 | 243.53125 |  |  | Row Labels | Sum of ACD
May, [NAME] | Adams, [NAME] | 348 | 270.330474854 |  |  | May, [NAME] | 0.5132754659177943
May, [NAME] | Adkins, [NAME] | 382 | 239.026184082 |  |  | Abbott, [NAME] | 0.1089281273315096
May, [NAME] | Aguilar, [NAME] | 246 | 246.495941162 |  |  | Acosta, [NAME] | 0.0954986321810495
May, [NAME] | [NAME], [NAME] | 397 | 256.403015137 |  |  | Adams, [NAME] | 0.0865456354140761
May, [NAME] | [NAME], [NAME] | 446 | 186.795959473 |  |  | Adkins, [NAME] | 0.09500124347177319
May, [NAME] | [NAME], [NAME] | 379 | 258.889190674 |  |  | Aguilar, [NAME] | 0.06117881124098483
May, [NAME] | Alvarado, Sonia | 341 | 295.671539307 |  |  | [NAME], [NAME] | 0.09873165879134543
May, [NAME] | [NAME], [NAME] | 126 | 246.936508179 |  |  | [NAME], [NAME] | 0.1109176821686148
May, [NAME] | [NAME], [NAME] | 236 | 251.072036743 |  |  | [NAME], [NAME] | 0.09425516040785874
May, [NAME] | [NAME], [NAME] | 297 | 261.356903076 |  |  | Alvarado, Sonia | 0.08480477493160905
May, [NAME] | [NAME], [NAME] | 1 | 213 |  |  | [NAME], [NAME] | 0.03133548868440687
McCoy, Preston | Armstrong, [NAME] | 299 | 284.28427124 |  |  | [NAME], [NAME] | 0.05869186769460333
McCoy, Preston | [NAME], Cole | 242 | 235.082641602 |  |  | [NAME], [NAME] | 0.07386222332753047
McCoy, Preston | [NAME], [NAME] | 277 | 167.032485962 |  |  | [NAME], [NAME] | 0.0002486943546381497
McCoy, Preston | Atkins, [NAME] | 311 | 186.662384033 |  |  | McCoy, Preston | 0.4867245340822058
McCoy, Preston | Atkinson, Danielle | 306 | 249.101303101 |  |  | Armstrong, [NAME] | 0.07841594544977708
McCoy, Preston | [NAME], [NAME] | 172 | 189.796508789 |  |  | [NAME], Cole | 0.06346708628376606
McCoy, Preston | [NAME], [NAME] | 187 | 223.684494019 |  |  | [NAME], [NAME] | 0.07264621033307107
McCoy, Preston | Ayala, Polly | 297 | 238.626266479 |  |  | Atkins, [NAME] | 0.08156307369525308
McCoy, Preston | Ayers, [NAME] | 153 | 208.738555908 |  |  | Atkinson, Danielle | 0.08025177025963807
McCoy, Preston | Bailey, Victor | 253 | 240.830032349 |  |  | [NAME], [NAME] | 0.04510883818515605
McCoy, Preston | [NAME], [NAME] | 301 | 270.966766357 |  |  | [NAME], [NAME] | 0.04904274849200105
McCoy, Preston | [NAME], [NAME] | 355 | 180.994369507 |  |  | Ayala, Polly | 0.07789142407553108
McCoy, Preston | [NAME], [NAME] | 236 | 208.266952515 |  |  | Ayers, [NAME] | 0.04012588512981904
McCoy, Preston | Ballard, Martin | 350 | 268.53427124 |  |  | Bailey, Victor | 0.06635195384211906
McCoy, Preston | Banks, [NAME] | 74 | 304.959472656 |  |  | [NAME], [NAME] | 0.07894046682402307
 |  |  |  |  |  | [NAME], [NAME] | 0.0931025439286651
 |  |  |  |  |  | [NAME], [NAME] | 0.06189352216102807
 |  |  |  |  |  | Ballard, Martin | 0.0917912404930501
 |  |  |  |  |  | Banks, [NAME] | 0.01940729084710202
 |  |  |  |  |  | Grand Total | 1
Spreadsheet: 0873fd49-90c2-434e-81b1-c8a5765dcd61
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
43078074 | 2014-09-08 21:42:40 | ALLIES | 1 | 4 | 2 | 509176 | arsenal94 | 6161 | western | 1944-06-10 | 1944-06-10 | Mont Mouchet | Mont Mouchet
43078347 | 2014-09-08 21:51:51 | AXIS | 0 | 2 | 4 | 509176 | arsenal94 | 6161 | western | 1944-06-10 | 1944-06-10 | Mont Mouchet | Mont Mouchet
43146155 | 2014-09-13 22:25:37 | ALLIES | 1 | 5 | 2 | 632845 | [NAME] du Sud | 6160 | western | 1944-06-06 | 1944-06-06 | Sword Beach | Sword Beach
43146368 | 2014-09-13 22:42:34 | AXIS | 0 | 4 | 5 | 632845 | [NAME] du Sud | 6160 | western | 1944-06-06 | 1944-06-06 | Sword Beach | Sword Beach
Spreadsheet: 781691d1653491369-calculate-time-of-arrival-with-if-condition-based-on-departure-calculate-time-of-arrival-with-if-condition-based-on-departure
Sheet: Sheet1 (2)

Date | Departure | Destination | Truck nr | Planned hr for truck to load | Departure hr | Nr of hr from B to C | Estimated hr of arrival to store
 | BAIA MARE | SATU MARE | B400TBL | 11:00:00 |  | 01:45:00 |  |  |  |  | Unloadin time at 1st store
 | CAMPUS CALAN | BAIA MARE | B400TBL | 11:00:00 |  | 08:00:00 |  |  |  |  | 02:00:00
 | CAMPUS CALAN | [NAME] | B401TBL | 11:00:00 |  | 04:00:00
 | CAMPUS CALAN | TG.MURES ISTORIC | B402TBL | 11:00:00 |  | 05:00:00
 | [NAME] | [NAME] | B403TBL | 12:00:00 |  | 01:30:00
 | CAMPUS CALAN | [NAME] | B403TBL | 14:00:00 |  | 04:00:00
 | CAMPUS CALAN | TG.MURES [NAME] | B404TBL | 14:00:00 |  | 05:00:00
 | CAMPUS CALAN | ORADEA | B405TBL | 13:00:00 |  | 05:00:00
 | CAMPUS CALAN | CLUJ NORD | B406TBL | 15:00:00 |  | 04:00:00
 | CAMPUS CALAN | CLUJ ISTORIC | B407TBL | 16:00:00 |  | 04:00:00
 | CAMPUS CALAN | [NAME] | B408TBL | 17:00:00 |  | 01:00:00
 | CAMPUS CALAN | BUZIAS | B409TBL | 21:00:00 |  | 04:00:00
 | CAMPUS CALAN | TURDA | B410TBL | 21:00:00 |  | 04:00:00
Spreadsheet: 09de9dc4-4f3c-4130-b561-4109fd8554f7
Sheet: Sheet1

miRNA targets | Category | Test | Other | HT p-value | [NAME] correction | odd's ratio
miR-454 | Calcium signaling pathway | 4 | 102 | 0.000212 | 0.0019 | 22.6
 | Phosphatidylinositol signaling system | 3 | 52 | 0.000572 | 0.00515 | 27.1
 | GnRH signaling pathway | 3 | 59 | 0.000816 | 0.00734 | 23.8
 | Vascular smooth muscle contraction | 3 | 64 | 0.00103 | 0.00923 | 21.9
 | Oocyte meiosis | 3 | 67 | 0.00117 | 0.0105 | 20.9
miR-92a | Calcium signaling pathway | 2 | 104 | 0.0345 | 0.069 | 8.9
Union | Calcium signaling pathway | 6 | 100 | 0.000104 | 0.000623 | 10.6
 | Phosphatidylinositol signaling system | 4 | 51 | 0.000715 | 0.00429 | 12.3
 | GnRH signaling pathway | 4 | 58 | 0.00113 | 0.00678 | 10.8
 | Vascular smooth muscle contraction | 3 | 64 | 0.0143 | 0.0856 | 6.8
 | Oocyte meiosis | 3 | 67 | 0.0161 | 0.0963 | 6.5
Spreadsheet: sara_shackleton__36428__ComBankAusISDA
Sheet: ANEWSWP2

ISDA SWAP AGREEMENT INFORMATION SHEET
 |  | ATTORNEY:
DATE: |  | DEAL MAKER:
COUNTERPARTY: | Commonwealth Bank of Australia | CONTACT:
ADDRESS: |  | TITLE:
 |  | PHONE:
 |  | FAX:
Incorporation State |  | S&P Rating | AA-
STRUCTURE | COUNTERPARTY | ECT
GUARANTOR (RATING) |  | Enron Corp.
LIMIT $ MILLIONS |  | 15
Incorporation State |  | OR
COLLATERAL  THRESHOLD MATRIX in $ MILLIONS
based on S & P and
Moody's ratings | 10 | 10
Specify Type of Debt:
COLLATERAL TYPE
Letter of Credit | X | X
Cash | X | X
Treasuries/Maturity limit
MINIMUM TRANSFER $ | 1 | 1
COLLATERAL ROUNDING
Delivery Amount | 250000 | 250000
Return Amount | 250000 | 250000
HOLDING and USE OF COLLATERAL
Permitted | X | X
Minimum S & P/Moody's
rating permitted
MATERIAL ADVERSE CHANGE TRIGGERS - if Matrix not applicable
APPLY TO:
-Counterparty | X
-Guarantor |  | X
Debt Ratings Change
-Below = S&P/Moody's | BBB- | BBB-
Financial Covenants
-Funded debt/Worth
-Minimum Net Worth
-Cash Flow/CMLTD
Non-Specific
-Unilateral
Non-Standard Definitions
-Funded Debt
-Net Worth
EVENTS OF DEFAULT
3rd party debt | X | X
-Counterparty ($[NAME])
-Guarantor ($[NAME]) | 100 | 100
Change in ownership
FINANCIAL STATEMENTS
-Standard | X | X
- Request financials on:
CREDIT DECISION: | APPROVED :  X | DECLINED:
OUTSTANDING SWAP TRANSACTIONS: |  | YES: | NO:
ALL SWAPS TO ROLL UP UNDER NEW MASTER: |  | YES: | NO:
CREDIT PROVISIONS OF MASTER TO GOVERN: |  | YES: | NO:
OTHER COMMENTS: | M/S is for weather derivatives.
GLOBAL CREDIT:  Please complete the attached form below if the following conditions exist:
A)  No previous guidance limit exists or .....
B)  The proposed contractual limits exceed the existing guidance limits.
CREDIT REVIEW  PREPARED BY: |  | [NAME] | x3-3559
Spreadsheet: 8899ef71-caaf-43b5-975e-49ca726042bb
Sheet: Sheet1

T E I L N E H M E R I N N E N L I S T E | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
BETRIFFT: |  |  |  |  |  | ORT:
 |  | (Wettkampf / Lehrgang / Seminar usw.) |  |  |  |  | (im [NAME] auch [NAME])
ZEITRAUM: |  | am / vom: |  | bis: |  | =
 |  |  |  |  |  |  | TAGE
ANZAHL DER PERSONEN:
 |  |  |  |  |  |  | Bitte in Block- oder Maschineschrift ausfüllen
[NAME]. Nr. | FAMILIEN- und VORNAME |  | [NAME] |  | TAGE | UNTERSCHRIFT
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
 |  |  |  |  |  |  | TeilnehmerInnenliste.xls / Stand 2007
Spreadsheet: 28864d1223424017-list-only-items-with-value-0-in-a-matrixs-line-or-column-diet-thingy
Sheet: Sheet2

Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday
 | more pizza 2 |  |  | more pizza 2 |  | more pizza 1
mac n cheese 1 | mac n cheese 2 | mac n cheese 2 |  | mac n cheese 2 | mac n cheese 1
 |  | beer 4 | beer 3
whiskey 2 | whiskey 3 |  | whiskey 2
 |  | vodka 1 |  | vodka 1 | vodka 2 | vodka 3
cheese 1 |  | cheese 2 |  |  | cheese 1
 |  |  | more beer 1 |  |  | more beer 2
 | even more pizza 3 |  |  |  | even more pizza 1
pizza pops 2 |  | pizza pops 2 |  | pizza pops 2 | pizza pops 3 | pizza pops 3
Spreadsheet: 203d1448-a4d6-4f7b-b118-97bd9a16454f
Sheet: Sheet1

Table 4 -- U.S. monthly average farm prices and marketings by class | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17
 |  |  | Long-grain |  |  |  |  |  |  |  |  | Medium/Short Grain
 |  | 2013/14 |  |  |  | 2012/13 |  |  |  | 2013/14 |  |  |  | 2012/13
Month | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt
August | 15.1 | 1/ |  |  | 14 |  | 8176 |  | 17.3 |  |  |  | 16.6 |  | 2680
September |  |  |  |  | 13.8 |  | 9172 |  |  |  |  |  | 17.8 |  | 1458
October |  |  |  |  | 13.9 |  | 11849 |  |  |  |  |  | 16.8 |  | 2261
November |  |  |  |  | 14 |  | 12784 |  |  |  |  |  | 17 |  | 3559
December |  |  |  |  | 14.1 |  | 11332 |  |  |  |  |  | 16.9 |  | 3940
January |  |  |  |  | 14.4 |  | 13973 |  |  |  |  |  | 16.7 |  | 4886
February |  |  |  |  | 14.6 |  | 12945 |  |  |  |  |  | 16.1 |  | 2527
March |  |  |  |  | 14.7 |  | 11123 |  |  |  |  |  | 16.4 |  | 3178
April |  |  |  |  | 14.8 |  | 9546 |  |  |  |  |  | 16.7 |  | 3103
May |  |  |  |  | 14.9 |  | 9103 |  |  |  |  |  | 16.6 |  | 2147
June |  |  |  |  | 15 |  | 7551 |  |  |  |  |  | 16.7 |  | 2292
July |  |  |  |  | 15.1 |  | 6929 |  |  |  |  |  | 16.4 |  | 2050
Average to date 2/ | 15.1 |  |  |  |  |  |  |  | 17.3
Season-average farm price | 14.00-15.00 | 3/ |  |  | 14.4 |  |  |  | 16.30-17.30 | 3/ 4/ |  |  | 16.7
Average marketings |  |  | N./A |  |  |  | 10373.58333333333 |  |  |  | N./A |  |  |  | 2840.083333333333
Total volume marketed |  |  |  |  |  |  | 124483 |  |  |  |  |  |  |  | 34081
N/A = Not available.  1/  Mid-month only.  2/ Simple average. 3/ Forecast.
4/ The medium/short-grain season-average- farm price ([NAME]) largely reflects rice that is marketed through
price pools in California. The pool price is not final until all the rice in the pool is marketed for the crop year.
Therefore, [NAME] forecasts based on the average of NASS monthly prices and the final price may differ.
Source: Monthly cash price and marketings, Agricultural Prices, National Agricultural Statistics Service, USDA.
Last updated September 12, 2013.
Spreadsheet: richard_shapiro__32658__Texas Franchise Spreadsheet
Sheet: Sheet1

City | Franchise Amount (Annual) | Expiration Date | Term | Total Exposure
City of Ft. Worth | 35255 | 2024-07-27 00:00:00 | 25 years | 881375
City of Irving | 34824 | 2004-05-19 00:00:00 | 5 years | 174120
City of Dallas | 19657 | N/A | 10 years (approx.) | 196570
DFW Airport | 7507 | 1939-05-31 00:00:00 | 40 years | 300280
City of Lancaster | 38016 | 117/7/06 | 7years | 266112
City of Waco | 19862 | 2005-06-29 00:00:00 | 6 years | 119172
City of Calvert | 8000 | 2024-08-08 00:00:00 | 25 years | 200000
City of Austin | 64448 | 2006-08-29 00:00:00 | 7 years | 451136
City of San Antonio | 54453 | 2010-05-09 00:00:00 | 10 years | 544530
City of Sequin | 5000 | 2006-12-06 00:00:00 | 7 years | 35000
City of Columbus | 4500 | 2015-01-01 00:00:00 | 15 years | 67500
City of Liberty | 6947 | 2008-01-31 00:00:00 | 7 years | 48629
City of Beaumont | 865 | unknown | 10 years (approx.) | 8650
TOTAL