Skip to main content
Metrics
703,951 Downloads
The Abacus Data Network is a data repository collaboration involving Libraries at Simon Fraser University (SFU), the University of British Columbia (UBC), the University of Northern British Columbia (UNBC) and the University of Victoria (UVic).
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1,751 to 1,800 of 62,792 Results
Oct 4, 2024 - UBCGeodata
Unknown - 190 B - MD5: 87a29411b8aa117fc42859dbbf9b00af
Comma-separated ValueDocumentation
UBC Vancouver neighbourhoods
Oct 4, 2024 - UBCGeodata
Unknown - 1.5 KB - MD5: 713d87502c2413d822425a881591af45
Comma-separated ValueData
UBC Vancouver neighbourhoods
Oct 4, 2024 - UBCGeodata
GeoJSON - 18.0 KB - MD5: 1a09eecfbb9e91fa59415627af82b9d5
DataGeoJSON
UBC Vancouver neighbourhoods
Oct 4, 2024 - UBCGeodata
Unknown - 477 B - MD5: d88102f8b4bc2b1ada2453a65fbc6625
Comma-separated ValueDocumentation
UBC Vancouver Points of Interest
Oct 4, 2024 - UBCGeodata
Unknown - 117.0 KB - MD5: 4bf0eb431d1abcb613ddc762d97d5a7c
Comma-separated ValueData
UBC Vancouver Points of Interest
Oct 4, 2024 - UBCGeodata
GeoJSON - 299.1 KB - MD5: 6a9fe229ae1684933d6609bffcbc85cd
DataGeoJSON
UBC Vancouver Points of Interest
Oct 4, 2024 - UBCGeodata
Unknown - 196 B - MD5: 52354e678903aff49fa1ebf8629248b9
Comma-separated ValueDocumentation
UBC Vancouver Pacific Spirit Regional Park
Oct 4, 2024 - UBCGeodata
GeoJSON - 51.3 KB - MD5: 4d78e37bbce55f5bfe577f3f39a1b83a
DataGeoJSON
UBC Vancouver Pacific Spirit Regional Park
Oct 4, 2024 - UBCGeodata
Unknown - 1.5 KB - MD5: e74573f4681a0407ceb0afdff3083bd7
Comma-separated ValueDocumentation
UBC Vancouver Pacific Spirit Regional Park trail
Oct 4, 2024 - UBCGeodata
GeoJSON - 995.3 KB - MD5: 31a4212ae5f41af8cf4d48addf0f35cb
DataGeoJSON
UBC Vancouver Pacific Spirit Regional Park trail
Oct 4, 2024 - UBCGeodata
Unknown - 300 B - MD5: d4dc845470fe27b266b7ce04c23fd73c
Comma-separated ValueDocumentation
UBC Vancouver roads simple
Oct 4, 2024 - UBCGeodata
GeoJSON - 179.5 KB - MD5: cac0e1db89e723c71d1a216f88d71cc7
DataGeoJSON
UBC Vancouver roads simple
Oct 4, 2024 - UBCGeodata
Unknown - 593 B - MD5: b670316882bb701d0aaf0372adcbdf2a
Comma-separated ValueDocumentation
UBC Vancouver routes
Oct 4, 2024 - UBCGeodata
GeoJSON - 4.7 MB - MD5: 98b4f7971c0d175b0a2cbb9bb2e12438
DataGeoJSON
UBC Vancouver routes
Oct 4, 2024 - UBCGeodata
Unknown - 542 B - MD5: 6fed81d4afbf1c5d943494f6d55ede6f
Comma-separated ValueDocumentation
UBC Vancouver softlandscape
Oct 4, 2024 - UBCGeodata
GeoJSON - 169.0 KB - MD5: 85dce4fed212d5e55d176cb6a3ee8029
DataGeoJSON
UBC Vancouver subbuildings
Oct 4, 2024 - UBCGeodata
Unknown - 1.2 KB - MD5: 4c19b49bca3ce335a9f91b269431942a
Comma-separated ValueDocumentation
UBC Vancouver trees fields
Oct 4, 2024 - UBCGeodata
Unknown - 126 B - MD5: 3289d58d2e0375b502b5c26e5d1a3c75
Comma-separated ValueDocumentation
UBC Vancouver University Endowment Lands
Oct 4, 2024 - UBCGeodata
GeoJSON - 754.7 KB - MD5: aa43ebf7ac117328dd2e56dcba93e42b
DataGeoJSON
UBC Vancouver University Endowment Lands
Oct 4, 2024 - UBCGeodata
GeoJSON - 25.3 KB - MD5: c9cf1a952a2ac4bcc5f24e45a1b5878d
DataGeoJSON
UBC Vancouver water
Sep 25, 2024 - Statistics Canada Open License
Statistics Canada, 2024, "Mental Health and Access to Care Survey (MHACS), 2022", https://hdl.handle.net/11272.1/AB2/YIBA26, Abacus Data Network, V2, UNF:6:jz47ZqEtwUOoFN4NwHGdEA== [fileUNF]
The Mental Health and Access to Care Survey (MHACS) collects information about the mental health status of Canadians, as well as their access to and need for services and supports, whether formal or informal. This survey also intends to assess the impact of the COVID-19 pandemic...
Unknown - 448 B - MD5: abf9de56c3399752c733c126bf1ea379
Bootstrap WeightsCommand FilesSPSS
SPSS syntax for bootstrap weights file
Unknown - 30.7 MB - MD5: b2ab1609c840a42b99ef955da2756baf
Bootstrap WeightsDataPlain Text
Bootstrap weights file in ASCII plain text format
Unknown - 7.5 KB - MD5: 57ff513d7c49f99b57f6fa470ea4aa10
Bootstrap WeightsCommand FilesSAS
SAS program for bootstrap weights file
Unknown - 989.1 KB - MD5: f7daf38d3f6c750d730d22c9b16d38f2
DataPlain Text
Microdata in ASCII plain text format
Unknown - 24.6 KB - MD5: 6683e2036f44e6be5747ae0855fa92c2
Command FilesStata
Stata commands for microdata file
Unknown - 21.6 KB - MD5: fdb6e211c037ea62e5d0a367dd9a29fd
Command FilesSPSS
SPSS syntax for microdata file
Unknown - 36.7 KB - MD5: 47df52b21ba2754277dbd8a1b6ff6e0e
Command FilesSAS
SAS program for microdata file
Adobe PDF - 7.4 MB - MD5: 524fd34901f91792c6acb2c51bf05044
Documentation
Derived variable specification
Unknown - 71.1 MB - MD5: 60abec57e27ff130959f9ab72a03ed08
Bootstrap WeightsDataSAS
Bootstrap weights file in SAS .sas7bdat format
Unknown - 70.8 MB - MD5: 327a98b5625605a641e9504c3f53aee2
Bootstrap WeightsDataStata
Bootstrap weights file in Stata .dta format
Unknown - 72.3 MB - MD5: e76c958da8bcb6f145e3b1d5f5a9c8d3
Bootstrap WeightsDataSPSS
Bootstrap weights file in SPSS .sav format
Adobe PDF - 2.3 MB - MD5: d8e0c4cb704fec212f346228583abe3e
Documentation
Data dictionary
Unknown - 1.3 MB - MD5: e8d97ac20fc4f0e4b8dfc237b9abc0d3
DataSAS
Microdata in SAS .sas7bdat format
Adobe PDF - 89.2 KB - MD5: d0431bcbe769f41391445ba11de036e4
Documentation
Errata (2024-09-25)
Unknown - 946.8 KB - MD5: 0ef99094f992e2c8b42ac20d34be8ae4
DataStata
Microdata in Stata .dta format
Unknown - 1.1 MB - MD5: 031ab58dfaffbafca8bc952df9eb648c
DataSPSS
Microdata in SPSS .sav format
Tabular Data - 12.1 MB - 602 Variables, 9861 Observations - UNF:6:jz47ZqEtwUOoFN4NwHGdEA==
Data
Microdata (subsettable) (original SPSS .sav)
Adobe PDF - 2.0 MB - MD5: 8a0059e510de9997caefa90dfb00be37
Documentation
User guide
Plain Text - 4.4 KB - MD5: 38682e002a2250b2e942718e6f24c325
Documentation
File manifest for unzipped files (UBC, 2024-09)
Adobe PDF - 5.0 MB - MD5: 375b0a9e87f9ae9f227219155ee7bc16
Documentation
Questionnaire
Sep 20, 2024 - Statistics Canada Open License
Statistics Canada, 2024, "1996 Census Metropolitan Areas, Census Agglomerations and Census Tracts reference maps: individual maps", https://hdl.handle.net/11272.1/AB2/0SNKZP, Abacus Data Network, V2
Census data are disseminated for a wide range of geographic areas ranging from the national level down to the highly detailed enumeration area (EA) level. Reference maps depict the boundaries of these geographic areas and help users put the census data in a spatial context. The m...
Adobe PDF - 297.4 KB - MD5: d2218bbb663f79292ce0a8984a376a0e
Census TractsHamilton
Hamilton CMA Census Tract 0208.00
Adobe PDF - 461.3 KB - MD5: f48c13057cd2b46a2e581d5b6f25297f
Census TractsToronto
Toronto CMA Census Tract 0832.00
Adobe PDF - 429.6 KB - MD5: ca50ed9cda0e0a96e8ad7d41e440e938
Census TractsVictoria
Victoria CMA Census Tract 0001.00
Adobe PDF - 450.1 KB - MD5: 2769a9d0cfb2a087d34f94f308ea7765
Census TractsVictoria
Victoria CMA Census Tract 0002.00
Adobe PDF - 485.7 KB - MD5: 7481f49e39db1748c332fd307c5e024e
Census TractsVictoria
Victoria CMA Census Tract 0003.01
Adobe PDF - 434.3 KB - MD5: 1d0b6afdb9ac9a94a2bd188dafef8998
Census TractsVictoria
Victoria CMA Census Tract 0003.02
Adobe PDF - 501.4 KB - MD5: da44655c8efaf084b4feac3296e283cb
Census TractsVictoria
Victoria CMA Census Tract 0004.00
Adobe PDF - 402.8 KB - MD5: b074795adadd3216946759e9dc8be9a8
Census TractsVictoria
Victoria CMA Census Tract 0005.00
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact Abacus Data Network Support

Abacus Data Network Support

Please fill this out to prove you are not a robot.

+ =