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1,801 to 1,850 of 2,606 Results
Unknown - 75.2 MB - MD5: 90c73d70ab06a5b6c149ad42c802f8c8
Data
Microdata in Stata .dta format
Adobe PDF - 960.3 KB - MD5: 669593fdbd21d05b538fb3a2b9532459
Documentation
User guide
Unknown - 68.2 MB - MD5: df549a4697b7214eae113e71ffcc32f6
Data
Microdata in ASCII .txt format
Unknown - 72.4 MB - MD5: 4c9a137402322f27e8ddaa41cc5acf01
Data
Microdata in SPSS .sav format
Tabular Data - 136.0 MB - 1356 Variables, 17409 Observations - UNF:6:JGbZrcJw80QIlqh+Q9iJng==
Data
Microdata (subsettable) (original SPSS.sav)
Adobe PDF - 1.8 MB - MD5: b583b2ae00274627afad130fd6025323
Documentation
Codebook without frequencies
MS Word - 17.0 KB - MD5: 8f24e17ebd2c0902b7c1ce5cd2f68a48
Documentation
Erratum Question OW_070
Adobe PDF - 1.9 MB - MD5: 7037214f7e7a71bf630704b807a15c94
Documentation
Codebook
Plain Text - 6.2 KB - MD5: 58c05e577cfbff8791deaf46ccd3d03c
Documentation
Checksums and details for unzipped files (created by UBC)
Adobe PDF - 292.8 KB - MD5: 72262ae3aa2bc5b0dbc167c64937f81c
Documentation
Questionnaire
Nov 8, 2022 - Statistics Canada Open License
Statistics Canada, 2022, "Financial Information of Universities Survey, 2020 -", https://hdl.handle.net/11272.1/AB2/DGNHPN, Abacus Data Network, V1
The Financial Information of Universities Survey was developed to provide financial information (income and expenditures) on all universities and degree-granting colleges in Canada. This information provides for a better understanding of the financial position for that level of e...
Unknown - 1.1 MB - MD5: 3ea73a63abd28f4d9ed67fc8369b6c21
Data
Financial Information of Universities (FINUNI): 2020-2021
Plain Text - 941 B - MD5: 5f000cf2d8eabfa8bd093de1eaa9c42f
Documentation
Note on data revision November 2022
Nov 7, 2022 - BC Assessment Permits
Plain Text - 109.1 KB - MD5: 6835aef15382b236fedeead745c85780
2022Data
September 2022 permits text file
Nov 7, 2022 - BC Assessment Permits
Plain Text - 3.1 KB - MD5: 6475a31d0b55e0e8b43c0b603731e2db
2022Data
October 2022 permits text file
Oct 27, 2022 - Restricted data
Davies, Mark, 2022, "Corpus of Global Web-Based English (GloWbE)", https://hdl.handle.net/11272.1/AB2/QIUSTE, Abacus Data Network, V1
The corpus of Global Web-based English (GloWbE; pronounced “globe”) is unique in the way that it allows you to carry out comparisons between different varieties of English. GloWbE is related to many other corpora of English that we have created (and which were formerly known as t...
Adobe PDF - 123.6 KB - MD5: 4a58d012caece56786609d3d88f25025
Documentation
Database format documentation
Adobe PDF - 146.1 KB - MD5: 97ab347b64a39eac9bb0e494e2dd36da
Documentation
Documentation on other data formats
TAR Archive - 8.9 GB - MD5: 965ee4e5a99dc0ed92669991b836091e
Data
GLoWbE database
Plain Text - 1.0 KB - MD5: 1f9e75513ae8c7dc9b285dac146e7006
Documentation
File manifest
Unknown - 120.2 MB - MD5: 67b2fc5420641a830ecd3ab5e05a2040
Data
GLoWbE lexicon
Adobe PDF - 33.3 KB - MD5: e670ae61af03e8b22cf1e0ce3ace1533
Documentation
Overview of the GLoWbE corpus
Unknown - 86.5 MB - MD5: f770243a6c30b0aabd01b1aa5f69d392
Data
GLoWbE sources list
Unknown - 3.6 GB - MD5: 34c2c7bdb767d3e3a674b1542869b6ef
Data
GLoWbE text
TAR Archive - 6.8 GB - MD5: 0abc0b9146f5c7951a85731a55f60870
Data
GLoWbE word/lemma/POS
Oct 27, 2022 - Restricted data
Davies, Mark, 2022, "Corpus of Historical American English (COHA)", https://hdl.handle.net/11272.1/AB2/EQQKSQ, Abacus Data Network, V1
The Corpus of Historical American English (COHA) is the largest structured corpus of historical English. It is related to many other corpora of English that we have created. These corpora were formerly known as the “BYU Corpora”), and they offer unparalleled insight into variatio...
TAR Archive - 2.2 GB - MD5: 9bb4d7730682bf250dad587d82a3c3f3
Data
COHA database files
Plain Text - 1.0 KB - MD5: a9cf5296eb19569cebe1cda2feaaf1e5
Documentation
File manifest
Unknown - 33.2 MB - MD5: 166920303b782a69c7a58554a0e5bfa5
Data
COHA lexicon
Adobe PDF - 43.0 KB - MD5: c098a691cd4658af5225f0feec2d162b
Documentation
Overview of the COHA corpus
Unknown - 5.1 MB - MD5: 4a266765dc60cf4fcd06584a3a60d2e1
Data
COHA sources list
TAR Archive - 932.9 MB - MD5: ac3d51144d06525d4e0d4eb2095f3563
Data
COHA text
TAR Archive - 1.9 GB - MD5: 1a0e2d930ec2543094171bf38c0f357d
Documentation
COHA word/lemma/POS
Adobe PDF - 123.6 KB - MD5: 4a58d012caece56786609d3d88f25025
Documentation
Database format documentation
Adobe PDF - 146.1 KB - MD5: 97ab347b64a39eac9bb0e494e2dd36da
Documentation
Documentation on other data formats
Adobe PDF - 1.4 MB - MD5: a308f1c414355a715b6dcea4ce1b489d
Documentation
User guide (v2019.2 version)
Plain Text - 2.3 KB - MD5: 061ee8feb08d71800c2f6fc341c77cc0
Documentation
File manifest
Oct 25, 2022 - DMTI Spatial
DMTI Spatial Inc., 2022, "CanMap Postal Code Suite, v2022.3", https://hdl.handle.net/11272.1/AB2/UQG83P, Abacus Data Network, V1
The CanMap Postal Code Suite is comprised of the following postal products: The CanMap Postal Code File - Multiple Enhanced Postal Code (MEP) product is a precision-based point file representing over 1 million postal codes across Canada. The Multiple Enhanced Postal Code product...
Unknown - 829.2 MB - MD5: 3a82bc11daf6dbdc356931a4b4e8be82
DataGeodatabase
CanMap Postal Code Suite v2022.3 (Esri file geodatabase)
Plain Text - 7.0 KB - MD5: a0ffaf230c9fb79881cefa10d0240e99
DataLayer
Forward Sortation Areas Region (ArcGIS layer file)
Plain Text - 13.5 KB - MD5: 1593e49d3bf2107a57317c9e29b55ceb
DataLayer
Retired Enhanced Postal Point (ArcGIS layer file)
Plain Text - 8.0 KB - MD5: 66913d3274cc6ef0630978f4e74cec4f
DataLayer
Local Delivery Units Region (ArcGIS layer file)
Plain Text - 10.0 KB - MD5: af84fa02afae1be20270f1df303779f4
DataLayer
Postal Delivery Modes Point (ArcGIS layer file)
Plain Text - 14.0 KB - MD5: 429b398a67c1654335da4d875f175116
DataLayer
Enhanced Postal Point (ArcGIS layer file)
Unknown - 23.1 MB - MD5: 0ecce8fde972d8aeab50b9ebb5b8bee0
DataShapefile
Forward Sortation Areas Region_shp (Esri shapefile)
Unknown - 2.8 KB - MD5: d3e0b6d9056e68c0c9341fed40dd3d05
DataTable
Local Delivery Units Precision Code (DBase .dbf)
Unknown - 2.1 MB - MD5: a45d38010e8d0d77314fcd41bbd7acb2
DataShapefile
Postal Delivery Modes Point_shp (Esri shapefile)
Unknown - 974.7 MB - MD5: 8d6c3cbb1c833492a4068eecd581fc83
DataShapefile
Local Delivery Units Region_shp (Esri shapefile)
Unknown - 3.5 KB - MD5: c4b32374510dbfe2f4bb4e68cbf22802
DataTable
Position Determination Code (DBase .dbf)
Unknown - 1.1 MB - MD5: 80606f3e7973f7bfbeed82e508faddab
DataTable
Retired Postal To Census (DBase .dbf)
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