751 to 800 of 1,788 Results
Tabular Data - 67.9 MB - 597 Variables, 20145 Observations - UNF:6:6P3SJtZnxngmC7HE+FMt7A==
Microdata (subsettable) (original SPSS .sav) |
Tabular Data - 18.0 MB - 567 Variables, 5522 Observations - UNF:6:kFrp+ukU+Xzj3l/MIHPhpg==
Microdata (subsettable) (original SPSS .sav) |
Adobe PDF - 1.4 MB -
MD5: d1ac5c45e59f53f2cc6dff1d331e7702
Data dictionary for Main data |
Adobe PDF - 5.4 MB -
MD5: bd6b3d26edb2b1f7edac2097df8e8bfe
Questionnaire |
ZIP Archive - 22.1 KB -
MD5: 3e198bdfcf53d242e1f202e07b506e1b
Stata commands for microdata files |
ZIP Archive - 51.1 KB -
MD5: eea4bc65745c89cd1f2d3a9fe9df730c
SAS program for microdata files |
ZIP Archive - 103.4 MB -
MD5: ae6b426e17b219201c72f02c77859a03
Microdata in SAS .sas7dbat format |
Adobe PDF - 601.3 KB -
MD5: 7b5e0403f251706ca57770c4da8fec2f
User guide |
Plain Text - 11.6 KB -
MD5: a4f4a7cf5c105a524de566c527430f27
File manifest for unzipped files |
Sep 28, 2023 - Statistics Canada Open License
Statistics Canada, 2023, "Canadian Income Survey, 2020", https://hdl.handle.net/11272.1/AB2/I6BDAC, Abacus Data Network, V2, UNF:6:EFjvtjGOa6N2Mj23BZ4j/Q== [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... |
Sep 28, 2023 -
Canadian Income Survey, 2020
Tabular Data - 95.8 MB - 193 Variables, 123718 Observations - UNF:6:EFjvtjGOa6N2Mj23BZ4j/Q==
Microdata (subsettable) (original SPSS .sav) |
Sep 28, 2023 -
Canadian Income Survey, 2020
ZIP Archive - 11.3 MB -
MD5: cfaf905bbd94f77fbbde8f73950b3bfa
Microdata file in ASCII (plain text) format |
Sep 28, 2023 -
Canadian Income Survey, 2020
ZIP Archive - 8.6 KB -
MD5: 5587ea2a6890f2f7178edaf97c246805
SPSS syntax for microdata file |
Sep 28, 2023 -
Canadian Income Survey, 2020
ZIP Archive - 17.3 MB -
MD5: 5c67d3e300e9c355784e93e4ee72dfb5
Microdata in SPSS .sav format |
Sep 28, 2023 -
Canadian Income Survey, 2020
ZIP Archive - 12.9 MB -
MD5: 89d4d41885a65fc5e05a5d3b22bbbef4
Microdata in SAS .sas7bdat format |
Sep 28, 2023 -
Canadian Income Survey, 2020
ZIP Archive - 7.2 KB -
MD5: 090261973db3f831ccb401d1973b9c47
Stata commands for microdata file |
Sep 28, 2023 -
Canadian Income Survey, 2020
ZIP Archive - 14.8 KB -
MD5: f762f4846772c667257ad1cfb0d0a117
SAS program for microdata file |
Sep 28, 2023 -
Canadian Income Survey, 2020
Adobe PDF - 1.5 MB -
MD5: 50edcf05f99f3932c2231d7e451ebf65
Data dictionary |
Sep 28, 2023 -
Canadian Income Survey, 2020
Adobe PDF - 468.6 KB -
MD5: c5fc08e884f457aae0b52b691d8e8026
User guide |
Sep 28, 2023 -
Canadian Income Survey, 2020
Plain Text - 5.1 KB -
MD5: 6f53dd1750c9dedfa1d147eab96681e7
Revisions in the layout files |
Sep 28, 2023 -
Canadian Income Survey, 2020
Adobe PDF - 1.3 MB -
MD5: b00d79b3f8af5108ac7c31789cc43685
Questionnaire |
Sep 28, 2023 -
Canadian Income Survey, 2020
ZIP Archive - 11.0 MB -
MD5: e1d4a1efe82c1cf639066eae6e26bbe7
Microdata in Stata .dta format |
Sep 28, 2023 -
Canadian Income Survey, 2020
Plain Text - 1.4 KB -
MD5: 4e6bcfe6a3534c51e2ea5c3a184501d8
Selecting analysis units |
Sep 28, 2023 -
Canadian Income Survey, 2020
Plain Text - 6.4 KB -
MD5: 6317c19eacb7c5f182172f383004ff2f
File manifest for uncompressed files |
Adobe PDF - 133.5 KB -
MD5: 473d03bb04d87d6892eaf434e6b3cd4e
Change log and details |
Windows Executable - 165.3 KB -
MD5: 4004d3832a1f739f84a7f56a7a21aed4
Installation program for Microsoft Windows |
Plain Text - 2.1 KB -
MD5: 73c5e77b6def8e6a72750b34ef051328
Installation instructions |
Plain Text - 200.0 MB -
MD5: 30a168f77abea1c490da59f1a04f0c35
Installation component: disk 1 |
Plain Text - 200.0 MB -
MD5: cd1d71b268f74093165bd26f604814e0
Installation component: disk 2 |
Plain Text - 200.0 MB -
MD5: 6908d4d17b7589abd3539e418d6b92d3
Installation component: disk 3 |
Plain Text - 200.0 MB -
MD5: d50cb271db4485ad0e9dab684432a195
Installation component: disk 4 |
Plain Text - 89.1 MB -
MD5: 6a52027b6496424c03e0bec8ead82e18
Installation component: disk 5 |
Sep 12, 2023 - Statistics Canada Open License
Statistics Canada, 2023, "2021 Census Geographic Attribute File", https://hdl.handle.net/11272.1/AB2/BXLPEP, Abacus Data Network, V1
The 2021 Geographic Attribute File contains all the 2021 Census DBs and their selected attributes, such as standard geographic areas’ unique identifiers (UIDs), DGUIDs, population and dwelling counts, land area, 2021 Census incompletely enumerated Indian reserves and Indian settl... |
Sep 12, 2023 -
2021 Census Geographic Attribute File
ZIP Archive - 10.0 MB -
MD5: bbcf7879048239093c8807174bf223ad
Geographic Attribute File, comma-separated value plain text format, UTF-8 character encoding |
Sep 12, 2023 -
2021 Census Geographic Attribute File
Adobe PDF - 234.7 KB -
MD5: 15b74b362b5de8e40f1f8539805b2929
Reference guide |
Sep 12, 2023 -
Labour Force Survey, 2023
Unknown - 13.8 MB -
MD5: 607f4d1d21123383371caf7ff8a0f055
August 2023 data, flat ASCII format |
Sep 12, 2023 -
Labour Force Survey, 2023
Tabular Data - 10.3 MB - 60 Variables, 103403 Observations - UNF:6:U/Qnuk96npl6jCQESGYIPQ==
August 2023 data (subsettable) (original SPSS .sav) |
Aug 18, 2023 - Linguistic Data Consortium
Hernández Mena, Carlos Daniel; Gatt, Albert; Borg, Claudia; DeMarco, Andrea; van der Plas, Lonneke, 2023, "MASRI Synthetic", https://hdl.handle.net/11272.1/AB2/WBPJBV, Abacus Data Network, V1
Abstract Introduction MASRI (Maltese Automatic Speech Recognition I) Synthetic was developed by the MASRI team at the University of Malta and consists of approximately 99 hours of synthesized Maltese speech. Data Source sentences were extracted from the Maltese Language Resource... |
Aug 18, 2023 -
MASRI Synthetic
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Aug 18, 2023 -
MASRI Synthetic
Optical Disc Image - 6.3 GB -
MD5: ad9774df27abe949208102786e6ecdd8
ISO disc image containing all documentation and data |
Aug 18, 2023 -
MASRI Synthetic
Plain Text - 3.6 MB -
MD5: 33c068416a07aa174a0e8b1808fe71ca
File manifest |
Aug 18, 2023 - Linguistic Data Consortium
Pradhan, Sameer; Cole, Ronald Allan; Ward, Wayne, 2023, "MyST Children's Conversational Speech", https://hdl.handle.net/11272.1/AB2/QUHJRW, Abacus Data Network, V1
Abstract Introduction MyST (My Science Tutor) Children's Conversational Speech was developed by Boulder Learning Inc. It is comprised of approximately 470 hours of English speech from 1371 students in grades 3-5 conversing with a virtual science tutor in eight areas of science in... |
Aug 18, 2023 -
MyST Children's Conversational Speech
Plain Text - 3.1 KB -
MD5: 1b8a8741370964dcfff1eeec66e4b151
nstructions on how to access LDC data via UBC's Teamshare service (Markdown/ASCII text) |
Aug 18, 2023 -
MyST Children's Conversational Speech
Adobe PDF - 31.2 KB -
MD5: 100c549ff1bb48ed76f05d01f6342eb3
nstructions on how to access LDC data via UBC's Teamshare service |
Aug 18, 2023 -
MyST Children's Conversational Speech
Plain Text - 27.8 MB -
MD5: ff2292703964e157e7aae535e38a4325
File manifest |
Aug 17, 2023 - Linguistic Data Consortium
Tracey, Jennifer; Strassel, Stephanie; Graff, David; Wright, Jonathan; Chen, Song; Ryant, Neville; Kulick, Seth; Griffitt, Kira; Delgado, Dana; Arrigo, Michael, 2023, "LORELEI Indonesian Representative Language Pack", https://hdl.handle.net/11272.1/AB2/JLEISQ, Abacus Data Network, V1
Abstract Introduction LORELEI Indonesian Representative Language Pack consists of Indonesian monolingual text, Indonesian-English parallel text, annotations, supplemental resources and related software tools developed by the Linguistic Data Consortium (LDC) for the DARPA LORELEI... |
Aug 17, 2023 -
LORELEI Indonesian Representative Language Pack
Optical Disc Image - 752.3 MB -
MD5: 550498c694e21c55b95327a1da4d321f
ISO disc image containing all documentation and data |
Aug 17, 2023 -
LORELEI Indonesian Representative Language Pack
Plain Text - 1.4 MB -
MD5: 6bbaa195a7dd66dfbb8ab168c24849c8
File manifest |
Aug 17, 2023 -
LORELEI Indonesian Representative Language Pack
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Aug 17, 2023 - Linguistic Data Consortium
Helgadóttir, Inga Rún; Kjaran, Róbert; Nikulásdóttir, Anna Björk; Gudnason, Jon, 2023, "Althingi Parliamentary Speech", https://hdl.handle.net/11272.1/AB2/NIG304, Abacus Data Network, V1
Abstract Introduction Althingi Parliamentary Speech consists of approximately 542 hours of recorded speech from Althingi, the Icelandic Parliament, along with corresponding transcripts, a pronunciation dictionary and two language models. Speeches date from 2005-2016. This dataset... |