51 to 100 of 62,876 Results
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 236.3 MB -
MD5: 5328bc44ffa7042ad80fcfa62c37353b
Bootstrap weights in Stata .dta format for Person file |
Jul 9, 2025 -
National Travel Survey, 2023
Tabular Data - 5.9 MB - 13 Variables, 111092 Observations - UNF:6:x4jdEZcliN8HWoYhw/HXXA==
Person file data (subsettable) (original SPSS .sav) |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 1.4 MB -
MD5: 079ade62b705da556fe64d2ace81a76e
Person file in SAS .sas7bdat format |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 3.1 KB -
MD5: 702a3810ba79f7230d5259f3e80f5874
SAS program for Person file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 1.5 MB -
MD5: d8ec9dd9799af6f88e8b241134f145f3
Person file in SPSS .sav format |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 2.2 KB -
MD5: e480747db8b6e0f0397869bc11acb03b
SPSS syntax for Person file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 2.0 KB -
MD5: 876ccda52e4464cf701a2dabc555939c
Stata commands for Person file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 1.2 MB -
MD5: 7be6238aa89e40b0a0bda891bbfe9a78
Person file in Stata .dta format |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 200.9 MB -
MD5: 8e692589947293d9ada35d67df3e6397
Bootstrap weights in ASCII format for Trip file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 199.2 MB -
MD5: dec03b70a8feb1a4ffefc5a590577694
Bootstrap weights in SAS .sas7bdat format for Trip file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 36.0 KB -
MD5: 54d4f9a4e7e800ab751156ee0321c282
SAS program for Trip file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 229.8 MB -
MD5: 9dec19a64c5e457a489e45a80bccf10a
Bootstrap weights in SPSS .sav format for Trip file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 11.9 KB -
MD5: 0638dfc2ba0b304182197569e758b380
SPSS syntax for Trip file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 3.1 KB -
MD5: bf3abe346f623012be949e6bfe6901ea
Stata commands for Trip file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 198.4 MB -
MD5: b3ebba25bf7c4cf4548be01675c1fd66
Bootstrap weights in Stata .dta format for Trip file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 2.7 MB -
MD5: 13032c3e1c7f1292d95fa3fed38612af
Trip file in ASCII plain text format |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 3.2 MB -
MD5: 5c51ff8df555c5e784284ab32a5df1df
Trip file in SAS .sas7bdat format |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 21.2 KB -
MD5: e17fa259b5081d8d2f1b6d9a17ab9f49
SAS program for Trip file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 3.8 MB -
MD5: 4cc1d8e161c80305eb4fd628ec6bb69d
Trip file in SPSS .sav format |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 18.2 KB -
MD5: ed6ae2ebd9d254958fde9307c58f1ab3
SPSS syntax for Trip file |
Jul 9, 2025 -
National Travel Survey, 2023
Tabular Data - 30.8 MB - 142 Variables, 67556 Observations - UNF:6:9f13KXMv5WYqTrlgXsFGMg==
Trip file data (subsettable) (original SPSS .sav) |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 13.8 KB -
MD5: 8f8e7cf46213ea3a34a958344ffdae79
Stata commands for Trip file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 2.6 MB -
MD5: 634900ea57d44df902f405b6c6448894
Trip file in Stata .dta format |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 1.7 MB -
MD5: 7ef7b844ca8fdf17fb72269accc2ab66
Visit file in ASCII plain text format |
Jul 9, 2025 -
National Travel Survey, 2023
Tabular Data - 13.1 MB - 33 Variables, 149320 Observations - UNF:6:IqflXTkMncamaKixbUs99Q==
Visit file data (subsettable) (original SPSS .sav) |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 2.0 MB -
MD5: bb1c066a98aef3dc66ff6707f3403c0b
Visit file in SAS .sas7bdat format |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 8.9 KB -
MD5: e14f153408927aa9a47e98ba8e97f29d
SAS program for Visit file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 2.4 MB -
MD5: 0356073dff600da12aaa68b2dcfeec53
Visit file in SPSS .sav format |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 7.6 KB -
MD5: d7d7d9c923ecd9c8a091601d9802c72f
SPSS syntax for Visit file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 6.7 KB -
MD5: 5b58de835903ca60c0c4f9806cc1f253
Stata commands for Visit file |
Jul 9, 2025 -
National Travel Survey, 2023
Unknown - 1.6 MB -
MD5: cf6eb41d04ea94af186b8df07bbe9123
Visit file in Stata .dta format |
Jul 9, 2025 -
National Travel Survey, 2023
Adobe PDF - 5.0 MB -
MD5: 1a8aa7ea54a9dd98d734efee659ecd62
Questionnaire |
Jul 9, 2025 -
National Travel Survey, 2023
Adobe PDF - 1.2 MB -
MD5: eb27dc82e06a17677d90ed1c5dc88037
Codebook for Person bootstrap weights file |
Jul 9, 2025 -
National Travel Survey, 2023
Adobe PDF - 1.2 MB -
MD5: 409ae4e17d5d543d084fe00066374280
Codebook for Trip bootstrap weights file |
Jul 9, 2025 -
National Travel Survey, 2023
Adobe PDF - 1.3 MB -
MD5: b669effd418e52780a8fd375aef18dda
Codebook for Person file |
Jul 9, 2025 -
National Travel Survey, 2023
Adobe PDF - 1.5 MB -
MD5: 496bfa09c82d76e7a72305d41269e5cd
Codebook for Trip file |
Jul 9, 2025 -
National Travel Survey, 2023
Adobe PDF - 1.3 MB -
MD5: 9d29f382a8cff35d047a9ee101fb77b6
Codebook for Visit file |
Jul 9, 2025 -
National Travel Survey, 2023
Adobe PDF - 606.2 KB -
MD5: 3f2e1ef1fa9690de1690675fabd7e04f
User guide |
Jul 4, 2025 - Statistics Canada - DLI
Statistics Canada, 2025, "Postal Codes by Federal Ridings File (PCFRF) 2023 Representation Order, June 2025 Postal Codes, 2025", https://hdl.handle.net/11272.1/AB2/KJHFWJ, Abacus Data Network, V1
The Postal Code Project is responsible for linking the approximately 900,000 single postal codes in Canada to Statistics Canada’s Census dissemination geography, (presently 2021 Census geography). This process is performed by using data provided by Canada Post Corporation and lin... |
Jul 4, 2025 -
Postal Codes by Federal Ridings File (PCFRF) 2023 Representation Order, June 2025 Postal Codes, 2025
Adobe PDF - 373.6 KB -
MD5: beb35a74f62e07ca5227e4a29b3192fe
Reference guide |
Jul 4, 2025 -
Postal Codes by Federal Ridings File (PCFRF) 2023 Representation Order, June 2025 Postal Codes, 2025
Plain Text - 110.5 MB -
MD5: 276d74ba62f8c341c4763e59d6c80fba
Postal codes by federal ridings file, June 2025 postal codes |
Jul 4, 2025 -
Postal Codes by Federal Ridings File (PCFRF) 2023 Representation Order, June 2025 Postal Codes, 2025
Plain Text - 396 B -
MD5: 62772aee10a478e9cf5e3e2d84be0713
File manifest |
Jul 4, 2025 - Statistics Canada - DLI
Statistics Canada, 2025, "Postal Code Conversion File, June 2025 Postal Codes, 2025", https://hdl.handle.net/11272.1/AB2/2OJO0T, Abacus Data Network, V1
The Postal Code Project is responsible for linking the approximately 900,000 single postal codes in Canada to Statistics Canada’s Census dissemination geography, (presently 2021 Census geography). This process is performed by using data provided by Canada Post Corporation and lin... |
Plain Text - 60.3 KB -
MD5: 4be5ddd67ea7010697758cb28bc94627
SPSS syntax for PCCF. Non-Statistics Canada product from <odesi> (Ontario Data Documentation, Extraction Service and Infrastructure) |
Adobe PDF - 567.4 KB -
MD5: 7ef70dcbd32d2586e62f2083ea423d7a
Reference guide |
Plain Text - 286.9 MB -
MD5: 831e86264932214a787a58bf200378db
National data: June 2025 postal codes |
Plain Text - 712.1 KB -
MD5: fe54ca7c3d616744ef723c69c15b0cbd
File manifest |
Plain Text - 15.0 MB -
MD5: 030994c4f2562c4d375f02a468df0d14
Retired postal codes: June 2025 |
Jun 9, 2025 - Linguistic Data Consortium
Bekkozhanova, Gulnar; Bills, Aric; Chouder, Sarra; Jaralve, Vanessa; Corey, Cassian; Dubinski, Eyal; Ellis, Corinna; Gibby, Paul; Kazi, Michael; Lam, Julie; Le, Hanh; Malyska, Nicolas; Marcucci, Giorgia; Marvi, Sarah; McConnell, Sara; Melot, Jennifer; Mensch, Alyssa; Morrison, Michelle; Paget, Shelley; Ramizo, Katerina; Richardson, Frederick; Roberts, Annette; Rubino, Carl; Sarseke, Gulnar; Taubayev, Zharas, 2025, "MATERIAL Kazakh-English Language Pack", https://hdl.handle.net/11272.1/AB2/5G61UB, Abacus Data Network, V1
Abstract Introduction MATERIAL Kazakh-English Language Pack was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) MATERIAL (Machine Translation for English Retrieval of Information in Any Language) program. It contains approximately 57 hours of K... |
Jun 9, 2025 -
MATERIAL Kazakh-English Language Pack
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |