151 to 200 of 59,690 Results
Apr 15, 2025 -
National Symmetric Input-Output Tables, 2022
MS Excel Spreadsheet - 3.6 MB -
MD5: 8cf2a2095b76657fb4ac11a7fc6a8da8
National symmetric input-output tables, 2022 - Domestic and imports Classification: Link-1997 level |
Apr 15, 2025 -
National Symmetric Input-Output Tables, 2022
MS Excel Spreadsheet - 196.0 KB -
MD5: 9b6ec1ed6c3f68e282928db66ebbd10c
National symmetric input-output tables, 2022 - Domestic and imports Classification: Summary level |
Apr 15, 2025 -
National Symmetric Input-Output Tables, 2022
MS Excel Spreadsheet - 1.7 MB -
MD5: b45bf2e477d24e3ff03d6158f0b31c17
National symmetric input-output tables, 2022 - Classification: Link-1961 level |
Apr 15, 2025 -
National Symmetric Input-Output Tables, 2022
MS Excel Spreadsheet - 4.6 MB -
MD5: 8b0688f70857d34d0e4a9808fb5dc42e
National symmetric input-output tables, 2022 - Classification: Link-1997 level |
Apr 15, 2025 -
National Symmetric Input-Output Tables, 2022
MS Excel Spreadsheet - 212.6 KB -
MD5: f07ea1e57ab9c2954f985d53432c88c3
National symmetric input-output tables, 2022 - Classification: Summary level |
Mar 7, 2025 - Statistics Canada Open License
Statistics Canada, 2024, "National Graduates Survey (NGS) Class of 2020 (Cycle collected in 2023)", https://hdl.handle.net/11272.1/AB2/66DXKW, Abacus Data Network, V2, UNF:6:blKCZtvnurD8jQoVoEcMHg== [fileUNF]
The National Graduates Survey (NGS), Class of 2020 focused on the education and labour market experiences of people who graduated from a Canadian public postsecondary educational institution in 2020. The questions focused on academic path; funding for postsecondary education, inc... |
Unknown - 35.0 KB -
MD5: 2c4a293852573b3e587a2d1423e351f7
NGS_2020_BSW_SAS_SAS |
Unknown - 53.5 MB -
MD5: 93c21ca8e81354a3ea9ac2e16bd83f1e
NGS_2020_BSW_ASCII_FLAT_TXT |
Unknown - 11.5 KB -
MD5: eed96c4494a8a831676f900c131873dd
NGS_2020_BSW_SPSS_SPS |
Unknown - 85.0 MB -
MD5: 2b5cc67527a884331f1cf78060785ef2
NGS_2020_BSW_SAS_SAS7BDAT |
Unknown - 10.7 KB -
MD5: 64fce56d232092c3ea405d4108bac015
NGS_2020_BSW_Stata_do |
Unknown - 538.6 KB -
MD5: af8630748fa6368f634c105fc40317d3
NGS_2020_ASCII_FLAT_TXT |
Unknown - 584.5 KB -
MD5: d7e487a72da32be2d30c77b186b67737
NGS_2020_ASCII_FLAT_CSV |
Unknown - 7.2 KB -
MD5: 21f171d8bccade51e99d0cad98cd9a3d
NGS_2020_SPSS_SPS |
Unknown - 10.6 KB -
MD5: 52c30df4fe72bc243d94238154fcd2ad
NGS_2020_SAS_SAS |
Unknown - 7.9 KB -
MD5: cbd6e80a7e7dc8df5bfbb44d8b89b62e
NGS_2020_Stata_DO |
Unknown - 58.6 MB -
MD5: 1cfbbe6bafff73063e23f559420d665b
NGS_2020_BSW_Stata_DTA |
Unknown - 62.6 MB -
MD5: a9166cc670040e69e35c6862e86f2c6c
NGS_2020_BSW_SPSS_SAV |
Unknown - 719.0 KB -
MD5: 980aff7275161fc01078ce4911745498
NGS_2020_SAS_SAS7BDAT |
Adobe PDF - 1.4 MB -
MD5: e2d7200da498f03495af0866b9d9177a
Codebook without frequencies |
Unknown - 564.8 KB -
MD5: a50249e82f629dcbb9a610aedd2d6a36
NGS_2020_Stata_dta |
Unknown - 622.1 KB -
MD5: 5f13eee955f03f34b705824de9f90716
NGS_2020_SPSS_sav |
Adobe PDF - 1.4 MB -
MD5: 46eed75daa8d540ef4db8b340bcc9f93
Codebook |
Plain Text - 844 B -
MD5: d76f8c04e8b5c47f65d1099ab6a3c56d
Addendum: February 2025 |
Plain Text - 556 B -
MD5: 499d779ea3a8340955c35a436f30a598
Addendum: August 2024 |
Tabular Data - 3.9 MB - 116 Variables, 16138 Observations - UNF:6:blKCZtvnurD8jQoVoEcMHg==
Microdata (subsettable) (original SPSS .sav) |
Adobe PDF - 57.9 KB -
MD5: 86290ce31d14a30d4a1db703107a524b
Appendix D: List of levels of education |
Adobe PDF - 8.0 MB -
MD5: 0bf0f9b8834603e138f6c7c666f99b30
Questionnaire |
Adobe PDF - 20.8 KB -
MD5: 21e8b5c1573ca232871c3c27b39b1ffd
Appendix B: North American Industry Classification System concordance |
Adobe PDF - 153.0 KB -
MD5: 9d73d89cfaa9792c4d61aa1cb7f25023
Appendix A: Classification of Instructional Programs concordance |
Adobe PDF - 17.7 KB -
MD5: 0012f227ce9860c3f7ca6bf39b1ba799
Appendix C: National Occupational Classification concordance |
Plain Text - 11.6 KB -
MD5: fdc46f66badb21c2b37a73f037a3c7a1
File manifest for unzipped files (UBC, 2025-03) |
Adobe PDF - 1.2 MB -
MD5: 192bac906d2a207a7abc94a7b10dc155
User guide |
Jan 21, 2025 - Linguistic Data Consortium
Tracey, Jennifer; Strassel, Stephanie; Graff, David; Wright, Jonathan; Chen, Song; Ryant, Neville; Kulick, Seth; Griffitt, Kira; Delgado, Dana; Arrigo, Michael, 2025, "LORELEI Yoruba Representative Language Pack", https://hdl.handle.net/11272.1/AB2/ATPB58, Abacus Data Network, V1
Abstract Introduction LORELEI Yoruba Representative Language Pack (LDC2024T10) consists of Yoruba monolingual text, Yoruba-English parallel text, annotations, supplemental resources and related software tools developed by the Linguistic Data Consortium for the DARPA LORELEI progr... |
Jan 21, 2025 -
LORELEI Yoruba Representative Language Pack
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Jan 21, 2025 -
LORELEI Yoruba Representative Language Pack
Optical Disc Image - 460.8 MB -
MD5: fdf8c1f55ca588f02ff3959fb038479f
ISO disc image containing all documentation and data |
Jan 21, 2025 -
LORELEI Yoruba Representative Language Pack
Plain Text - 1.1 MB -
MD5: d43196767d4cbedec9f8e50b1db4d57d
File manifest |
Jan 21, 2025 - Linguistic Data Consortium
Hennig, Leonhard; Thomas, Philippe; Möller, Sebastian, 2025, "MultiTACRED", https://hdl.handle.net/11272.1/AB2/GIEQ7J, Abacus Data Network, V1
Abstract Introduction MultiTACRED was developed by the German Research Center for Artificial Intelligence (DFKI) Speech and Language Technology Lab and is a machine translation of TAC Relation Extraction Dataset (LDC2018T24) (TACRED) into twelve languages with projected entity an... |
Jan 21, 2025 -
MultiTACRED
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Jan 21, 2025 -
MultiTACRED
Optical Disc Image - 756.2 MB -
MD5: a0fe09e9df6275339122a385da5dfd16
ISO disc image containing all documentation and data |
Jan 21, 2025 -
MultiTACRED
Plain Text - 2.9 KB -
MD5: c116a5c547fa51b981286727f18d8ad1
File manifest |
Jan 21, 2025 - Linguistic Data Consortium
Das, Debopam; Egg, Markus, 2025, "RST Continuity Corpus", https://hdl.handle.net/11272.1/AB2/YSIB2J, Abacus Data Network, V1
Abstract Introduction RST Continuity Corpus was developed at Åbo Akademi University and Humboldt-Universität zu Berlin and contains annotations for continuity dimensions added to RST Discourse Treebank (LDC2002T07). RST Discourse Treebank is a collection of English news texts fro... |
Jan 21, 2025 -
RST Continuity Corpus
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Jan 21, 2025 -
RST Continuity Corpus
Optical Disc Image - 12.4 MB -
MD5: c0f5e35cf7c7b61b86c391835c97ce11
ISO disc image containing all documentation and data |
Jan 21, 2025 -
RST Continuity Corpus
Plain Text - 82.7 KB -
MD5: 79de47849d089724428899455e0270ee
File manifest |
Jan 16, 2025 -
Programme for the International Assessment of Adult Competencies (PIAAC) 2022, Cycle 2
Tabular Data - 74.2 MB - 2495 Variables, 11697 Observations - UNF:6:3OkCDVfEeT9Tv6xoflseIQ==
Microdata (subsettable) (original SPSS .sav) |
Jan 16, 2025 -
Programme for the International Assessment of Adult Competencies (PIAAC) 2022, Cycle 2
Adobe PDF - 1.6 MB -
MD5: 319c6bca5e7c359c2dd500f9e27e4ff4
Draft Conceptual Framework |
Jan 16, 2025 -
Programme for the International Assessment of Adult Competencies (PIAAC) 2022, Cycle 2
Plain Text - 1.2 KB -
MD5: 3d741a2e8ab2bf04aec6c667152045d2
File manifest for unzipped files (UBC, 2025-01-16) |
Jan 16, 2025 -
Programme for the International Assessment of Adult Competencies (PIAAC) 2022, Cycle 2
Unknown - 277.4 KB -
MD5: 98bee08d80e96c444ad77fed3200dbb4
International codebook |
Jan 16, 2025 -
Programme for the International Assessment of Adult Competencies (PIAAC) 2022, Cycle 2
Unknown - 263.4 KB -
MD5: 6aa670a8dfacc7eb46959d31a117847c
Missing variables |

