Form 10-Q - Quarterly report [Sections 13 or 15(d)]:
SEC Accession No. 0001301063-15-000055
Filing Date
2015-08-03
Accepted
2015-08-03 17:04:46
Documents
15
Period of Report
2015-06-30

Document Format Files

Seq Description Document Type Size
1 10-Q anr-2015630x10q.htm 10-Q 2424592
2 MEMBERSHIP INTEREST PURCHASE AGREEMENT, DATED AS OF JULY 1, 2015 anr-201563010qexhibit101.htm EX-10.1 404367
3 COMPUTATION OF RATIO OF EARNINGS TO FIXED CHARGES anr-201563010qexhibit121.htm EX-12.1 59464
4 CERTIFICATION PURSUANT TO RULE 13A-14(A) UNDER THE SECURITIES EXCHANGE ACT anr-2015630x10qexhibit31a.htm EX-31.(A) 12718
5 CERTIFICATION PURSUANT TO RULE 13A-14(A) UNDER THE SECURITIES EXCHANGE ACT anr-2015630x10qexhibit31b.htm EX-31.(B) 12757
6 CERTIFICATION PURSUANT TO 18 USC 1350 anr-2015630x10qexhibit32a.htm EX-32.(A) 5781
7 CERTIFICATION PURSUANT TO 18 USC 1350 anr-2015630x10qexhibit32b.htm EX-32.(B) 5814
8 MINE SAFETY DISCLOSURE EXHIBIT anr-2015630x10qexhibit95.htm EX-95 2493631
15 anrpic1a01a01a01a01.jpg GRAPHIC 41965
  Complete submission text file 0001301063-15-000055.txt   18193526

Data Files

Seq Description Document Type Size
9 XBRL INSTANCE DOCUMENT anr-20150630.xml EX-101.INS 4594178
10 XBRL TAXONOMY EXTENSION SCHEMA DOCUMENT anr-20150630.xsd EX-101.SCH 69286
11 XBRL TAXONOMY EXTENSION CALCULATION LINKBASE DOCUMENT anr-20150630_cal.xml EX-101.CAL 132363
12 XBRL TAXONOMY EXTENSION DEFINITION LINKBASE DOCUMENT anr-20150630_def.xml EX-101.DEF 484652
13 XBRL TAXONOMY EXTENSION LABEL LINKBASE DOCUMENT anr-20150630_lab.xml EX-101.LAB 848047
14 XBRL TAXONOMY EXTENSION PRESENTATION LINKBASE DOCUMENT anr-20150630_pre.xml EX-101.PRE 604863
Mailing Address ONE ALPHA PLACE P.O. BOX 16429 BRISTOL VA 24209
Business Address ONE ALPHA PLACE P.O. BOX 16429 BRISTOL VA 24209 276-619-4410
Alpha Natural Resources, Inc. (Filer) CIK: 0001301063 (see all company filings)

IRS No.: 421638663 | State of Incorp.: DE | Fiscal Year End: 1231
Type: 10-Q | Act: 34 | File No.: 001-32331 | Film No.: 151023085
SIC: 1221 Bituminous Coal & Lignite Surface Mining