2,401 to 2,450 of 2,606 Results
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 2.5 KB -
MD5: 412a420cd0072f3fdac484fa4170710f
SPSS syntax for person file |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 15.5 KB -
MD5: 942c789d35592d109c5e294837b27114
Stata commands for trips file |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 18.5 KB -
MD5: 42231c55bb55c43824332b9ea591c0f6
SPSS syntax for trips file |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 21.7 KB -
MD5: d3cc179c4a49d6af71779fe480034d61
SAS progam for trips file |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 7.4 KB -
MD5: 7a0ec73dc86b3d86317844065d696727
Stata commands for visit file |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 7.7 KB -
MD5: f728cbf459ff67b7b732d794ff208534
SPSS syntax for visit file |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 9.3 KB -
MD5: 91029e9a69f92041c012eed3fbfc4f29
SAS progam for visit file |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 871.2 KB -
MD5: 3a44da47a795655099d2789771c2ad12
Person file in ASCII format |
Feb 9, 2022 -
National Travel Survey, 2020
Tabular Data - 19.1 MB - 145 Variables, 39682 Observations - UNF:6:9FYlEtY7zvoRqjI0HWKEqw==
Trips file (subsettable) (original SPSS .sav) |
Feb 9, 2022 -
National Travel Survey, 2020
Tabular Data - 4.2 MB - 13 Variables, 79771 Observations - UNF:6:U+FxSnAOs8BEHp5zvTURcA==
Person file (subsettable) (original SPSS .sav) |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 1.8 MB -
MD5: 07d9236fd0e6210206dc7b95030c0f22
Trips file in SAS .sas7bdat format |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 1005.2 KB -
MD5: 4ee85c026351a23b8e25f261b30c44c4
Person file in SAS .sas7bdat format |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 1011.8 KB -
MD5: 5f82e79af2a57d2d19d4eb6a9a441d70
Visit file in SAS .sas7bdat format |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 2.2 MB -
MD5: 0490cda214f107373666d5a53556ecd6
Trips file in SPSS .sav format |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 1.1 MB -
MD5: 9826e3525ecf0adf102ebda41027518a
Person file in SPSS .sav format |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 1.6 MB -
MD5: fdcf16becf2882286f795024044faa9f
Trips file in ASCII format |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 870.4 KB -
MD5: 8f2b82337e3d4a91213cd21ad2c16a03
Visit file in ASCII format |
Feb 9, 2022 -
National Travel Survey, 2020
Tabular Data - 7.2 MB - 33 Variables, 83033 Observations - UNF:6:ZEBU/sGJ6mC8aHyMFdTIwA==
Visit file (subsettable) (original SPSS .sav) |
Feb 9, 2022 -
National Travel Survey, 2020
MS Excel Spreadsheet - 853.5 KB -
MD5: 8dcbdde813bcf25c4ce035d9816e22d1
Approximate sampling variability tables |
Feb 9, 2022 -
National Travel Survey, 2020
Adobe PDF - 1.3 MB -
MD5: 89b2108ef1fde6761817fd77815770ab
Codebook for person file |
Feb 9, 2022 -
National Travel Survey, 2020
Adobe PDF - 1.3 MB -
MD5: 6af640bd23cf1ef50baf2bebec9b7e0d
Codebook for visit file |
Feb 9, 2022 -
National Travel Survey, 2020
Adobe PDF - 1.5 MB -
MD5: e4edf7a45654ab3c38f693920b6f7086
Codebook for trips file |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 850.5 KB -
MD5: 54585f0b06d12bc82c85756911fe756d
Person file in Stata .dta format |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 824.3 KB -
MD5: 66b28881d49746f3d24313368006f583
Visit file in Stata .dta format |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 1.2 MB -
MD5: ed2151208d88ab5e8aa0df891203e46f
Visit file in SPSS .sav format |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 1.5 MB -
MD5: bc0b371c60e609b39668d84a9cc82522
Trips file in Stata .dta format |
Feb 9, 2022 -
National Travel Survey, 2020
Unknown - 71.7 KB -
MD5: 430e15dd5072cdb7dc64ceb1a4dbbe6e
Approximate sampling variability tables: person weight |
Feb 9, 2022 -
National Travel Survey, 2020
Plain Text - 79 B -
MD5: c80044b24653ac7af4ed7976330629f5
DOI for original Statistics Canada data set |
Feb 9, 2022 -
National Travel Survey, 2020
Adobe PDF - 4.4 MB -
MD5: 4b3f31c0954d8f1cbe58a58a8142feec
Questionnaire |
Feb 9, 2022 -
National Travel Survey, 2020
Adobe PDF - 1.5 MB -
MD5: cdb225faa147171b24c63804a74f73ae
User guide |
Feb 7, 2022 - Linguistic Data Consortium
Tracey, Jennifer; Graff, David; Strassel, Stephanie; Arrigo, Michael; Wright, Jonathan; Bies, Ann, 2022, "LORELEI Kinyarwanda Incident Language Pack", https://hdl.handle.net/11272.1/AB2/P1OIX0, Abacus Data Network, V1
Abstract Introduction LORELEI Kinyarwanda Incident Language Pack was developed by the Linguistic Data Consortium and is comprised of approximately 11.9 million words of Kinyarwanda monolingual text, 35,000 words of English monolingual text, 3.4 million words of parallel and compa... |
Feb 7, 2022 -
LORELEI Kinyarwanda Incident Language Pack
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Feb 7, 2022 -
LORELEI Kinyarwanda Incident Language Pack
Optical Disc Image - 1.5 GB -
MD5: b18b45a09e780f5a76e1e5ff4bb3b47f
ISO disc image containing all documentation and data |
Feb 7, 2022 -
LORELEI Kinyarwanda Incident Language Pack
Plain Text - 3.0 MB -
MD5: 752cccbe80cc3d39bef76ea1e4ad854a
File manifest |
Feb 7, 2022 - Linguistic Data Consortium
Byers, Frederick, 2022, "2017 NIST OpenSAT Pilot - SSSF", https://hdl.handle.net/11272.1/AB2/PTU0AQ, Abacus Data Network, V1
Abstract Introduction 2017 NIST OpenSAT Pilot - SSSF was developed by NIST (National Institute of Standards and Technology) and contains approximately one hour of operational speech data, transcripts and annotation files used in the speech activity detection, automatic speech rec... |
Feb 7, 2022 -
2017 NIST OpenSAT Pilot - SSSF
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Feb 7, 2022 -
2017 NIST OpenSAT Pilot - SSSF
Optical Disc Image - 58.8 MB -
MD5: 42026114d46d24c4004a3d6dc89b86be
ISO disc image containing all documentation and data |
Feb 7, 2022 -
2017 NIST OpenSAT Pilot - SSSF
Plain Text - 4.7 KB -
MD5: 6bcfc494db600c7b5630d9228f067695
File manifest |
Feb 7, 2022 - Linguistic Data Consortium
Bies, Ann; Mott, Justin; Warner, Colin; Kulick, Seth, 2022, "BOLT English Translation Treebank - Chinese SMS/Chat", https://hdl.handle.net/11272.1/AB2/JBOOKU, Abacus Data Network, V1
Abstract Introduction BOLT English Translation Treebank - Chinese SMS/Chat was developed by the Linguistic Data Consortium (LDC) and consists of SMS and chat text data translated from Chinese to English and annotated for part-of-speech and syntactic structure. The DARPA BOLT (Bro... |
Feb 7, 2022 -
BOLT English Translation Treebank - Chinese SMS/Chat
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Feb 7, 2022 -
BOLT English Translation Treebank - Chinese SMS/Chat
Optical Disc Image - 46.4 MB -
MD5: 53d83057f9bb724dadc37305581df9e5
ISO disc image containing all documentation and data |
Feb 7, 2022 -
BOLT English Translation Treebank - Chinese SMS/Chat
Plain Text - 56.8 KB -
MD5: 443e636820d94893dcf83d14a737e4ab
File manifest |
Feb 4, 2022 - Statistics Canada Open License
Statistics Canada, 2022, "Canadian Income Survey, 2018", https://hdl.handle.net/11272.1/AB2/G6T0LC, Abacus Data Network, V1, UNF:6:RlzI4LxHQ+ZRmY8Hn85cuw== [fileUNF]
The primary objective of the Canadian Income Survey (CIS) is to provide information on the income and income sources of Canadians, along with their individual and household characteristics. The data collected in the CIS is combined with Labour Force Survey (LFS, record number 370... |
Feb 4, 2022 -
Canadian Income Survey, 2018
Tabular Data - 72.0 MB - 192 Variables, 94336 Observations - UNF:6:RlzI4LxHQ+ZRmY8Hn85cuw==
Microdata (subsettable) (original SPSS .sav) |
Feb 4, 2022 -
Canadian Income Survey, 2018
Unknown - 8.5 MB -
MD5: 3bdfe109d0d623d9af45edc8d55e5e34
Microdata in SAS .sas7bdat format |
Feb 4, 2022 -
Canadian Income Survey, 2018
Unknown - 7.3 KB -
MD5: ede05ec1c7a86c760f8961ddb8ffcdd0
Stata commands for microdata file |
Feb 4, 2022 -
Canadian Income Survey, 2018
Unknown - 8.5 KB -
MD5: bc431ad6ecff9324d146d1be1c36cded
SPSS syntax for microdata file |
Feb 4, 2022 -
Canadian Income Survey, 2018
Unknown - 14.2 KB -
MD5: 43df29432e1f662a0251a39ac4795ab5
SAS program for microdata file |
Feb 4, 2022 -
Canadian Income Survey, 2018
Unknown - 7.5 MB -
MD5: 950911e9a0a92a753e80156538d6fd98
Microdata in Stata .dta format |
Feb 4, 2022 -
Canadian Income Survey, 2018
Unknown - 15.6 MB -
MD5: 7a3c173a86dd19ea16e6932192069b2c
Microdata in SPSS .sav format |