tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 676409d1588790908-data-validation-based-on-2-other-data-validations-investigation
Sheet: Instegation Types 

Data | Theft | Intel | Server No XX
Data | Theft | Intel | Known Suspect |  |  | 1st drop down uses data in column A
Data | Theft | Intel | Unknown Suspect
Data | Theft | Intel | Way in |  |  | 2nd drop down shows data from column B dependant on whats selected in 1st drop down
Data | Walk | Intel | Entance No XX
Data | Walk | Intel | Location |  |  | 3rd drop down shows data from column C dependant on 1st and 2nd drop down boxes
Data | Till | Investigation | Employee Name
Data | Till | Investigation | Customer |  |  | this cell shows the data from column D dependant on whats selected in the other 3 drop down boxes
Data | Walk | Investigation | Payment
Data | Walk | Investigation | Stored
Data | Store Process Issue | Investigation | Perimeter door left unsecure out of hours
Data | Store Process Issue | Investigation | fixture not secured
Data | Store Process Issue | Investigation | High Value left unsecure
Data | Store Process Issue | Investigation | Service Area left unsecure
Data | Store Process Issue | Investigation | High Value Stock left unattended
Data | Store Process Issue | Investigation | High Value stock left unattended in warehouse
Stored | Theft | Intel | XXXX associated with known suspect. On [NAME]
Stored | Theft | Intel | Unknown Suspect / Suspect seen on MDDYYYY
Stored | Theft | Intel | Unknown Suspect / Suspect XX seen on MDDYYYY Involved in theft of XXXXXX
Stored | Walk | Intel | Payment fails resulting in XXXXXX
Stored | Till | Investigation | XXXX fails to follow process after [NAME]
Stored | Walk | Investigation | Payment fails resulting in xxxxx fails to follow process
Spreadsheet: 31388d1227202874-sending-data-from-one-cell-to-another-book-help
Sheet: Closed DAX

 |  | Win/Loss $ [NAME] |  | 0 |  | Total [NAME]) |  | 0
 |  | Winning Trades |  | 0 |  | Profit/Loss Open Trades |  | 0
 |  | Losing Trades |  | 0 |  | Profit/Loss Closed Trades |  | 0
 |  | Average profit |  | 0 |  | Filtered Trades |  | 0
 |  | Average loss |  | 0 |  | Filtered Profit |  | 0
Entry | 2008-11-21 00:00:00 |  | L | Entry | Exit | Exit | Profit | Profit
Date | Commodity | Contract | S | Price | Date | Price | Loss | Euros
 |  |  |  |  |  |  |  | 0
Spreadsheet: randall_gay__31448__pipes
Sheet: Sheet1

Pipeline:
 |  | Proprietary EBB | Internet EBB | Other
Notices
Allocations
Maintenance
OFO Forecasting
Storage
Historical
Forecasting
[NAME]
Scheduled
Real-time
Historical
[NAME]
Index of Customers
Power Information
Market Information (LDC's, End-users)
Other Information
Spreadsheet: 106862d1304013392-permutation-of-twenty-eight-characters-combi
Sheet: Sheet1

غ | ظ | ض | خ | ث | ت | ش | ر | ق | ص | ف | ع | س | ن | م | ل | ك | ى | ط | ح | ز | و | ه | د | ج | ب | ا
Spreadsheet: 690769d1597290049-formular-to-rank-the-first-5-lowest-numbers-distr-formation
Sheet: Sheet1

 |  |  | EXPECTED RESULT
 |  |  | INDEX NUMBER | NAMES | MARKS
 |  |  | 1 | BALAKI | 1
 |  |  |  | BESTINA | 2
 |  |  |  | ANNA | 3
 |  |  |  | SANTAU | 4
 |  |  |  | SALIMU | 5
 |  |  | REAL DATA
 |  |  | INDEX NUMBER | NAMES | MARKS
 |  |  | 1 | ANNA | 3
 |  |  |  | SALIMU | 5
 |  |  |  | SAITOTI | 8
 |  |  |  | BEHAT | 12
 |  |  |  | RANJII | 10
 |  |  |  | RASULI | 14
 |  |  |  | [NAME] | 7
 |  |  |  | REYM | 11
 |  |  |  | BESTINA | 2
 |  |  |  | RAYMOND | 6
 |  |  |  | SELINA | 13
 |  |  |  | SANTAU | 4
 |  |  |  | BALIMU | 9
 |  |  |  | BALAKI | 1
Spreadsheet: 48627d1247845663-how-to-use-sumproduct-with-multiple-criteria-example
Sheet: Trend-Vascular Surg

 |  |  |  |  |  |  |  |  | Example Clinic - VASCULAR SURGERY
 |  |  |  |  |  |  |  |  | Department Rollup
Specialty |  |  |  |  |  |  |  |  | As of May 31, 2009
Vascular Surgery
 |  | 2008-05-01 00:00:00 | 2008-06-01 00:00:00 | 2008-07-01 00:00:00 | 2008-08-01 00:00:00 | 2008-09-01 00:00:00 | 2008-10-01 00:00:00 | 2008-11-01 00:00:00 | 2008-12-01 00:00:00 | 2009-01-01 00:00:00 | 2009-02-01 00:00:00 | 2009-03-01 00:00:00 | 2009-04-01 00:00:00 | 2009-05-01 00:00:00 |  | FY 2008
 | WRVU's
Spreadsheet: 674025d1587638127-issue-with-excel-solver-for-optimizing-smoothning-constant-in-winthers-forecasting-model-forecasting-case-thomas
Sheet: Holts

 |  |  |  | Level (BP) | Level (CP) | Trend (BP) | Trend (CP) | Forecast (BP) | Forecast (CP) | Error (BP) | Error (CP) | Absolute Error (BP) | Absolute Error (CP) | MSE (BP) | (MSE (CP) | MAD (BP) | MAD(CP) | % Error (BP) | % Error (CP) | MAPE (BP) | MAPE (CP) | TS (BP) | TS (CP)
 | 0 |  |  | 2591.674080882353 | 3611.978860294118 | 227.0176470588235 | 263.9402573529412
 | BP | CP
L0 | 2591.674080882353 | 3611.978860294118
T0 | 227.0176470588235 | 263.9402573529412
Spreadsheet: 0b33bdd9-8331-4410-96bd-511c5b1dff4b
Sheet: Example

 |  | EXAMPLE AUDIT |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  | This audit is only an example to give you an idea of what an audit should look like. |  |  |  |  |  |  |  |  |  |  |  |  | Return To AA
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Return To AS
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  | Associate In Science
 |  | 2012 - 2013
 |  | NAME: | [NAME] |  |  |  | DATE: |  | 2012-02-09 00:00:00
 |  | ID: | 000000000 |  |  |  | FOCUS: |  | None
 |  | CATEGORY I:  General Education Core |  |  |  |  |  |  | Hours: |  | /33
 |  |  |  |  | Course | Credit | Grade |  | Course | Credit | Grade
 |  | Communication - Written (6) |  |  | ENG 101 | 3 | B
 |  | Communication - Oral (3) |  |  |  |  |  |  | COM 252 | 3 | IPS
 |  | Arts & Humanities - Heritage (3) |  |  |  |  |  |  | HIS 104 | 3 | A
 |  | Arts & Humanities - Humanities (3) |  |  |  |  |  |  | ART 105 | 3 | B
 |  | Social & Behavioral Sciences (6) |  |  | ANT 220 | 3 | A
 |  | Natural Sciences (6) |  |  | AST 192 | 3 | B
 |  | Quantitative Reasoning (6) |  |  | MAT 150 | 3 | B |  | MA 113 | 3 | A
 |  | CATEGORY II:  Associate In Science Requirements |  |  |  |  |  |  | Hours: |  | /12
 |  |  |  |  |  |  |  |  | Course | Credit | Grade
 |  | Quantitative Reasoning/Natural Sciences (6) |  |  |  |  |  |  | AST 191 | 3 | IPS
 |  |  |  |  |  |  |  |  | GER 101 | 3 | TRN
 |  | General Education Core/Foreign Languages (6) |  |  |  |  |  |  | SPA 101 | 3 | IPS
 |  |  |  |  |  |  |  |  | HIS 105 | 3 | A
 |  | CATEGORY III:  Electives |  |  |  |  |  |  | Hours: |  | /15
 |  |  |  |  | Course | Credit | Grade |  | Course | Credit | Grade
 |  | Electives (15) |  |  | AHS 115 | 3 | A
 |  | Credits Summary |  |  | Total Credits: |  |  |  | Earned Credits:
 |  |  |  |  | Additional Credits: |  |  |  | Credits IPS:
 |  | Additional Graduation Requirements
 |  | 1.  Student must take one approved Cultural Studies course. |  |  |  |  |  |  |  | ANT 160
 |  | 2.  Student must take Social & Behavioral Science courses from at least two disciplines. |  |  |  |  |  |  |  | Incomplete
 |  | 3.  Student must take at least one Science Lab.
 |  | 4.  Student must demonstrate Computer Literacy.
 |  | 5.  Student must earn a minimum of sixty (60) credit hours for a degree. |  |  |  |  |  |  |  |  | /60
 |  | 6.  Student must earn at least fifteen (15) credit hours at BCTC. |  |  |  |  |  |  |  |  | /15
 |  | 7.  Student must have a cumulative GPA of 2.0 to earn a degree. |  |  |  |  |  |  |  |  | /4.0
 |  | Notes
 |  | Auditor: | [NAME] |  |  |  | E-mail: | [EMAIL] |  |  |  |  | Return To Main Menu
 |  | Still have questions?
 |  | Contact Nate Smith
 |  | [EMAIL]
Spreadsheet: 176184d1345749980-adding-values-based-upon-name-in-column-a-banking-hours
Sheet: Sheet1

EMPLOYEE | DATE OF LABOUR | DATE USED BANKED HRS | AMOUNT BANKED | AMOUNT USED
[NAME] |  |  | 1 | 3 |  | [NAME]
[NAME] |  |  | 2 | 3 |  | [NAME]
[NAME] |  |  | 10 |  |  | [NAME]
 |  |  |  |  |  | [NAME]
 |  |  |  |  |  | [NAME]
 |  |  |  |  |  | [NAME]
Spreadsheet: 189655d1351267816-main-information-row-with-sub-row-test_example
Sheet: Customer Oh

CustID | Part | Qty | Part Description | Representive
123 | AA | 3 | Box AA | [NAME]
123 | AB | 2 | Box AB | [NAME]
123 | AC | 1 | Box AC | [NAME]
123 | BA | 3 | [NAME] | George
123 | BB | 3 | Widget BB | [NAME]
Spreadsheet: 835946d1688995118-how-to-transform-easily-text
Sheet: Sheet1

Sample Data |  |  |  |  | How to sort this way
User Name | Date | Time |  |  | User Name | 2023-07-01 00:00:00 | 2023-07-02 00:00:00 | 2023-07-03 00:00:00 | 2023-07-04 00:00:00 | 2023-07-05 00:00:00
HH | 2023-07-01 00:00:00 | 09:39:25 |  |  | HH | 09:39:25 | 09:38:40 | 09:36:51 | 09:28:26
ES | 2023-07-01 00:00:00 | 09:39:48 |  |  | ES | 09:39:48 |  | 09:42:23 | 09:29:03 | 09:46:01
HH | 2023-07-02 00:00:00 | 09:38:40 |  |  | SY |  | 10:15:45 | 10:04:41 | 09:32:35 | 09:41:01
SY | 2023-07-02 00:00:00 | 10:15:45 |  |  | TM |  |  |  | 11:42:33 | 09:33:41
HH | 2023-07-03 00:00:00 | 09:36:51 |  |  | AHH |  |  |  | 11:49:31 | 10:15:54
SY | 2023-07-03 00:00:00 | 10:04:41
ES | 2023-07-03 00:00:00 | 09:42:23
TM | 2023-07-04 00:00:00 | 11:42:33 |  |  | User Name | 2023.07.01 | 2023.07.02 | 2023.07.03 | 2023.07.04 | 2023.07.05
HH | 2023-07-04 00:00:00 | 09:28:26 |  |  | AHH |  |  |  | 11:49:31 | 10:15:54
SY | 2023-07-04 00:00:00 | 09:32:35 |  |  | ES | 09:39:48 |  | 09:42:23 | 09:29:03 | 09:46:01
AHH | 2023-07-04 00:00:00 | 11:49:31 |  |  | HH | 09:39:25 | 09:38:40 | 09:36:51 | 09:28:26
ES | 2023-07-04 00:00:00 | 09:29:03 |  |  | SY |  | 10:15:45 | 10:04:41 | 09:32:35 | 09:41:01
TM | 2023-07-04 00:00:00 | 09:36:45 |  |  | TM |  |  |  |  | 09:33:41
AHH | 2023-07-05 00:00:00 | 10:15:54
SY | 2023-07-05 00:00:00 | 09:41:01
ES | 2023-07-05 00:00:00 | 09:46:01
TM | 2023-07-05 00:00:00 | 09:33:41
Spreadsheet: 738091d1624827656-matching-unique-events-against-a-list-of-flights-with-takeoff-and-landing-time-book1
Sheet: Sheet2

A/C Reg | Flight Number | Dep [NAME] | Dep Arpt Code | [NAME] | [NAME] | T/O Date | Takeoff (UTC) | Landing (UTC) | PIC Name | SIC Name | Cabin 1 Name | Type | Pax | Pilot Flying | Pilot Landing
X-XXXX | AAAXXBB | AAAA | AAA | BBBB | BBB | 2021-06-01 00:00:00 | 11:00:00 | 18:00:00 | Smith | Bloggs | Jones |  |  | PIC | PIC
Spreadsheet: 08e751ba-adaa-431f-8d6b-f2193d9e110d
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
 | 5671.0 Lending Finance, Australia
 | TABLE 41. OPERATING LEASE FINANCE COMMITMENTS, By Industry: Australia, Original ($000)
Related Information: | Summary Publication | Explanatory Notes | Inquiries
 | Glossary
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Agriculture, forestry and fishing ; |  |  | Original | A2413817T | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Mining ; |  |  | Original | A2413818V | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Manufacturing ; |  |  | Original | A2413819W | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Construction ; |  |  | Original | A2413820F | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Wholesale trade ; |  |  | Original | A2413821J | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Retail trade ; |  |  | Original | [NAME] | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Transport and storage ; |  |  | Original | A2413823L | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Finance and insurance ; |  |  | Original | A2413824R | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Property and business services ; |  |  | Original | A2413825T | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Cultural, recreational, personal and other services ; |  |  | Original | A2413826V | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Public Administration ; |  |  | Original | A2413827W | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Health and community services ; |  |  | Original | A2413828X | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
Other industries ; |  |  | Original | A2413829A | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
TOTAL OPERATING LEASE FINANCE ; |  |  | Original | A2413830K | 1985-01-01 00:00:00 | 2012-07-01 00:00:00 | 331 | $'000 | FLOW | Month | 1
© Commonwealth of Australia  2012
Spreadsheet: 699705d1602712199-convert-sumif-to-sumproduct-sumproduct-help
Sheet: Sheet1

10110190040110100
10110190040110150
10110190040110300
10110190040110350
10110190040110400
10110190040110450
10110190040110500
10110190040110550
10110190040110600
10110190040110650
10110190040110700
Spreadsheet: 583226d1532331569-dependent-drop-down-or-vlook-ups-to-be-used-for-multiples-data-interconnected-naroda-project-costing
Sheet: CONCESSION AREA

PROJECT COSTING FOR MATERIAL RELATED TO CONCESSION AREA
SR NO | ITEMS DESCRIPTION | QTY REQD | VENDOR | SIZE | SPECIFICATION | COST PER PIECE | AMOUNT | GST % | GST AMOUNT | TOTAL COST
1 | FRONT COUNTER
 | BACKSIDE PLATFORM
 | CONCESSION NEON
 | POS WITH CPU |  |  |  |  |  |  | 0.18
 | PRINTER FOR PRINTING BILLS
 | LED T.V (32") FOR MENU DISPLAY AT CONCESSION AREA (LG T.V)
 | PANNEL BOX WITH BLACK GLASSES FOR FIXING LED T.V'S
 | Q - MANAGERS
 | HOT DISPLAY AT THE FRONT COUNTER
 | COLD DISPLAY AT THE FRONT COUNTER
 | NACHOS WARMER FOR DISPLAY
 | POPCORN MACHINE 32 OZ WITH OIL PUMP
 | POPCORN MACHINE 16 OZ WITH OIL PUMP
 | POPCORN WARMER DISPLAY
 | SANDWICH GRILLER
 | CADDY TRAY
 | DEEP FAT FRYER (10 LTR ) (FRENCH FRIES)
 | ICE CUBE MACHINE (50 & 60  KG)
 | MICROWAVE (20LTR) SOLO (BAJAJ)
 | OTG FOR (PIZZA) ( 40 LTR)
 | MIXER GRINDER
 | WEIGHT MACHINE (50KG)
 | WEIGHT MACHINE (05KG)
 | HOT PLATE INDUCTION
 | LID ORGANISER
 | IN HOUSE VENDING TRAY
 | [NAME]
 | RO WATER PLANT (150 - 250 LPH)
 | ICE BEAN BUCKET (7 / 10 KG)
 | DEEP FREEZER (300 LTR) FOR STORING BURGER PATTI, FRENCH FRIES, CORNS, SMILEYS ETC
 | REFRIGERATOR 310 LTR
 | REFRIGERATOR 255LTR
 | STORE RACK 7 OR 10 SET
 | STRAW HOLDER
 | PLASTICK CONTAINER MEDIUM SIZE FOR STORING NACHOS (OPENED ONE)
 | PLASTICK CONTAINER MEDIUM SIZE FOR STORING NACHOS CRUNCH
 | PLASTIC CONTAINER SMALL SIZE (02 K.G) FOR STROING OPENED SALTED, CHEESE & CARAMEL POWDER
 | PLASTIC DRUM BIG ONE FOR MIXING CHEESE POWDER
 | PLASTIC DRUM BIG ONE FOR STORING CORN BAG (OPENED ONE)
 | PLASTIC SQUEEZE BOTTLE FOR SAUCE (TOMATO, CHEESE & SALSA)
 | POPCORN SCOOP PLASTIC
 | [NAME] CHECKS OR PLAIN
 | ICE TONG OR [NAME] (PLASTIC OR STEEL)
 | HAND GLOVES
 | TISSUE PAPER HOLDER / TRAY
 | CONDIMENTS TRAY
 | KNIFE FOR CUTTINGG VEGETABLES (01 MEDIUM & 01 SMALL)
 | CHOPPING BOARD
 | OIL FILLER FUNNEL PLASTIC OR STEEL
 | CARRY OUT TRAY
 | BUTTER DISPENSER
 | CAFÉ POS ROLL
 | CORN [NAME]
 | SALTED POWDER
 | CHEESE POWDER
 | CARAMEL POWDER
 | COKE BIBS
 | THUMS UP BIBS
 | SPRITE BIBS
 | FANTA BIBS
 | WATER BOTTLE
 | DIET CANS
 | NACHO CHEESE CUP WARMER
 | NACHOS TRAY
 | BULLET TAG
 | LARGE POPCORN CONE (SALTED)
 | LARGE POPCORN CONE (FLAVOURED)
 | MEDIUM POPCORN CONE (SALTED)
 | MEDIUM POPCORN CONE (FLAVOURED)
 | SMALL POPCORN CONE (SALTED)
 | SMALL POPCORN CONE (FLAVOURED)
 | TUB 75OZ
 | TUB FULL SIZE (1700Z)
 | 900 ML GLASSES
 | 650 ML GLASSES
 | 450 ML GLASSES
 | 300 ML GLASSES
 | 900 ML LIDS
 | 650 ML LIDS
 | 450 ML LIDS
 | 300 ML LIDS
 | BURGER BOX
 | HOT CUP (150 M.L)
 | SANDWICH CONTAINER
 | SWEET CORN CUP
 | SAMOSA TRAY
 | FRENCH FRIES PLATE
 | TISSUE PAPER
TOTAL COST OF EXPENSES FOR THE NEW PROJECT
Spreadsheet: 46530d1245360655-how-to-merge-2000-census-tracts-back-to-1990-using-a-formula-90_00_tract_merge_demo
Sheet: Examples

GEO_ID_1990 | [NAME] | SUMLEVEL_1990 | GEO_NAME_1990 | P0010001_1990 | GEO_ID_2000 | GEO_ID2_2000 | SUMLEVEL_2000 | GEO_NAME_2000 | P001001_2000
Geography Identifier | Geography Identifier | Geographic Summary Level | Geography | Persons: Total | Geography Identifier | Geography Identifier | Geographic Summary Level | Geography | Total population: Total
14000US06037101100 | [PHONE] | 140 | Tract 1011, Los Angeles County, California | 7458 | 14000US06037101100 | [PHONE] | 140 | Tract 1011, Los Angeles County, California | 7780
14000US06037101200 | [PHONE] | 140 | Tract 1012, Los Angeles County, California | 8016 | 14000US06037101200 | [PHONE] | 140 | Tract 1012, Los Angeles County, California | 9094
14000US06037103101 | [PHONE] | 140 | Tract 1031.01, Los Angeles County, California | 2629 | 14000US06037103101 | [PHONE] | 140 | Census Tract 1031.01, Los Angeles County, California | 2610
14000US06037103102 | [PHONE] | 140 | Tract 1031.02, Los Angeles County, California | 4189 | 14000US06037103102 | [PHONE] | 140 | Census Tract 1031.02, Los Angeles County, California | 4462
Spreadsheet: 0e3d60dd-138d-4185-ae8c-1d1a2859a9f8
Sheet: Sheet1

Table 8--U.S. cotton textile imports, by origin | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 | Mar. | Apr. | May | May
Region/country | 2012 | 2012 | 2012 | 2011
 | 1,000 pounds 1/
North America | 146201 | 122628.495 | 141042.597 | 158950.801
Canada | 3013.699 | 3325.033 | 3040.952 | 3648.712
Costa Rica | 933.337 | 546.599 | 871.328 | 806.958
Dominican Republic | 5656.268 | 5627.788 | 6410.015 | 6478.658
El Salvador | 24492.759 | 16829.256 | 21806.448 | 22791.941
Guatemala | 8462.537 | 8114.954 | 8930.964 | 9802.291
Haiti | 10777 | 11825.505 | 13011.458 | 12677.971
Honduras | 30571.623 | 22771.042 | 30547.11 | 37997.98
Mexico | 46393.078 | 39670.06 | 43589.49 | 48434.518
Nicaragua | 15883.632 | 13901.652 | 12827.652 | 16279.461
South America | 4268.91 | 4220.969 | 4472.486 | 5341.602
Brazil | 253.243 | 187.938 | 241.78 | 356.008
Colombia | 1300 | 1722.563 | 1870.489 | 1788.138
Peru | 2626.16 | 2221.755 | 2238.891 | 3013
Europe | 10347.688 | 10152.663 | 11573.126 | 10526.734
Germany | 887.703 | 828.58 | 976.187 | 1033.906
Italy | 1827.87 | 1568.509 | 1639.141 | 1857.298
Portugal | 902.136 | 871.185 | 722.891 | 897.157
Turkey | 3974.438 | 4393.456 | 4713.076 | 4012.667
Asia | 421609.709 | 456736.891 | 484865.068 | 533695.278
Bahrain | 2258.377 | 1256.572 | 1706.483 | 1654.092
Bangladesh | 47769.866 | 40205.521 | 43909.297 | 50129.996
Cambodia | 17767 | 19245.755 | 14631.528 | 18936.514
China | 134309 | 187318.262 | 204704.345 | 226174.097
Hong Kong | 441.449 | 649.251 | 691.671 | 912.487
India | 63429.223 | 54719.592 | 63877.285 | 60097.813
Indonesia | 27795.877 | 26459.726 | 22887.327 | 27338.45
Israel | 1010.812 | 745.162 | 1141.382 | 1238.394
Japan | 1080.361 | 1169.016 | 1266.4 | 1210.013
Jordan | 3655.329 | 4161.101 | 3806.034 | 3190.084
Malaysia | 1977 | 2250.929 | 2520.497 | 2419.606
Pakistan | 58093.126 | 52590.885 | 62791.018 | 68178.897
Philippines | 4550.212 | 4917.232 | 4524.048 | 6145.838
South Korea | 5388.654 | 6043.103 | 5747.892 | 5986.251
Sri Lanka | 7107.409 | 5884.383 | 4716.623 | 6927.824
Taiwan | 2733.773 | 2673.661 | 3096.619 | 2740.341
Thailand | 6009.728 | 6358.745 | 6143.021 | 8080.559
Vietnam | 35179.391 | 38521.37 | 35097.015 | 40605.859
Oceania | 69.931 | 49.711 | 58.309 | 50.827
Africa | 14155.153 | 12352.191 | 16207.404 | 17576.115
Egypt | 7746.188 | 7039.47 | 9500.639 | 9946.855
Kenya | 2188.02 | 1548.383 | 1879.939 | 2636
[NAME] | 2301.346 | 1834.912 | 2879.575 | 2984.967
[NAME] | 729.665 | 653.496 | 461.341 | 863.683
World 2/ | 596652.049 | 606140.921 | 658218.99 | 726141.357
 |  |  |  |  |  |  | 95
1/ Raw-fiber equivalent.  2/ Totals may not add due to rounding.
Last update:  08/13/12.
Sources: USDA, Economic Research Service; and USDC,
U.S. Census Bureau.
Spreadsheet: 14576ae1-3f2c-44d2-81c0-bf6c40fa4b5f
Sheet: Sheet1

Children with Special Health Care Needs by Demographics, 0-17 Year Olds,  Maine, 2009-2010 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
 | Any Special Health Care Need*
 | Single Year Estimated n | % | 95% CI
Total | 53122 | 19.4 | 18.0 - 20.8
US (2009/2010) | 11203616 | 15.1 | 14.8 - 15.3
Sex
Male | 29882 | 21.7 | 19.9 - 23.6
Female | 23165 | 17.2 | 15.3 - 19.1
Age
0-5 | 11072 | 12.7 | 10.5 - 14.8
6-11 | 19643 | 21.9 | 19.6 - 24.2
12-17 | 22408 | 23.2 | 20.8 - 25.6
Children with Special Health Care Needs by Year, 0-17 Year Olds,  Maine, 2001, 2005-2006, and 2009-2010
Year | Any Special Health Care Need*
 | Single Year Estimated n | % | 95% CI
2001 | 46243 | 15.5 | 14.4 - 16.6
2005-2006 | 48891 | 17.7 | 16.5 - 18.8
2009-2010 | 53122 | 19.4 | 18.0 - 20.8
Data Source:  National Survey of Children with Special Health Care Needs.  Data query from the Child and Adolescent Health Measurement Initiative, Data Resource Center for Child and Adolescent Health:  How Many Children Have Special Health Care Needs Tables  (http://www.childhealthdata.org; accessed 3/16/2012).
* Children with special health care needs are "those who have or are at increased risk for a chronic physical, developmental, behavioral, or emotional condition and who also require health and related services of a type or amount beyond that required by children generally."  (McPherson M, Arango P, Fox H, et [NAME]. “A new definition of children with special health care needs”, Pediatrics, 1998; 102: 137‐140.)
All percentages are weighted to be more representative of the 0-17 year old population of Maine and to adjust for non-response.
95% CI = 95% Confidence Interval.
Spreadsheet: 15cd862c-1d08-4a6a-a8c7-7e8125bdeebf
Sheet: A) Doelken et al. RIP-CHIP

Supplementary Table S6A
Ago-HITS-CLIP recovery of KSHV miRNA targets previously identified via RIP-CHIP (Dolken et al., 2010). We recovered 33 of the 114 genes found by Dolken et al. Columns show from left to right: Official gene symbol of common targets identified by [NAME] and by RIP-CHIP, cell lines (BCBL1- and BC-3) from which the genes were recovered. Y = yes; * marks transcripts selectively enriched in BCBL-1 AND in DG75-10/12, all other transcripts were only enriched in BCBL-1; ** marks transcripts induced upon infection
[NAME] | found in BCBL-1 | found in BC-3
C16orf13 |  | Y
C18orf71** |  | Y
C22orf28 |  | Y
CANT1 | Y | Y
CD151** | Y
CDK5RAP1* |  | Y
CDS1** |  | Y
FHL1** | Y
GEMIN8* | Y
LRRC8D | Y | Y
MAPRE3** | Y
MNAT1 | Y | Y
MRPL10 | Y | Y
NDUFA7 |  | Y
NFKBIA |  | Y
NHP2L1* | Y | Y
NISCH* | Y | Y
PPRC1 |  | Y
PROK2** | Y | Y
R3HDM2 | Y | Y
RBAK** | Y | Y
RBM22 | Y | Y
SEMA4B** | Y
SERPINH1** | Y
SLA** | Y
SLC1A5 | Y
SOCS3 | Y
TMEM173** | Y
VRK3 | Y
WRNIP1 |  | Y
ZNF184 |  | Y
ZNF3** | Y
ZNF780A** | Y
Spreadsheet: e4635b1d-dd3b-41b6-b085-de16c297841f
Sheet: Page 1

Permit No.: |  |  | WQ0017824 |  |  | Facility Name: |  | Uwharrie Middle School |  |  |  |  |  | County: | Randolph |  | Month: | January |  | Year: | 2014
Did irrigation occur    at this facility? |  |  |  |  |  | Field Name: |  | 1 |  | Field Name: |  | 2 |  | Field Name: |  | 3 |  | Field Name: |  | 4
 |  |  |  |  |  | Area (acres): |  | 0.51 |  | Area (acres): |  | 0.529 |  | Area (acres): |  | 0.207 |  | Area (acres): |  | 0.187
 |  |  |  |  |  | Cover Crop: |  | Hardwood Forest |  | Cover Crop: |  | Hardwood Forest |  | Cover Crop: |  | Hardwood Forest |  | Cover Crop: |  | Hardwood Forest
 |  |  |  |  |  | [NAME] (in): |  | 0.25 |  | [NAME] (in): |  | 0.25 |  | [NAME] (in): |  | 0.25 |  | [NAME] (in): |  | 0.25
 |  |  |  |  |  | Annual Rate (in): |  | 39 |  | Annual Rate (in): |  | 39 |  | Annual Rate (in): |  | 39 |  | Annual Rate (in): |  | 39
Day | Weather |  |  | Freeboard |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated?
 | Weather Code | Temperature | Precipitation | Storage | 5-Day Upset (if applicable) | Total Volume Applied | Total Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Total Volume Applied | Total Time    Irrigated | Daily   Loading | Maximum Hourly Loading | Total Volume Applied | Total Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Total Volume Applied | Total Time    Irrigated | Daily   Loading | Maximum Hourly Loading
 |  | ºF | in | ft | ft | gal | min | in | in | gal | min | in | in | gal | min | in | in | gal | min | in | in
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Monthly Loading:
12 Month Floating Total (in):