Metrics
89,115 Downloads
Contact Share
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 to 10 of 4,047 Results
Instructions to download LARIAC data
Instructions to download LARIAC data
Aug 31, 2023 - Los Angeles Region Imagery Acquisition Consortium (LARIAC)
YAO, ZHIYUAN, 2021, "Instructions to download LARIAC data", https://doi.org/10.25346/S6/TA1CUP, UCLA Dataverse, V2
This is the instruction about how to download LARIAC data from Data Science Center.
[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 3
Jun 2, 2023 - Global Atmospheric Rivers Dataverse
GUAN, BIN, 2021, "[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 3", https://doi.org/10.25346/S6/B89KXF, UCLA Dataverse, V4
[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 3
target.m
Jun 2, 2023 - [Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 3
MATLAB Source Code - 73.5 KB - MD5: 0de221867bb590051fb242041ace1888
[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 2
Jun 2, 2023 - Global Atmospheric Rivers Dataverse
GUAN, BIN, 2021, "[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 2", https://doi.org/10.25346/S6/PSP5N0, UCLA Dataverse, V3
[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 2
target.m
Jun 2, 2023 - [Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 2
MATLAB Source Code - 49.3 KB - MD5: de811fbde6487b21c3ae3eeb1dd68c9b
Corpus of Contemporary American English (COCA)
Apr 24, 2023 - Text and Data Mining
Davies, Mark, 2021, "Corpus of Contemporary American English (COCA)", https://doi.org/10.25346/S6/Z36KRR, UCLA Dataverse, V7
The Corpus of Contemporary American English (COCA) is the only large and "representative" corpus of American English. COCA is probably the most widely-used corpus of English, and it is related to many other corpora of English that we have created. These corpora were formerly know...
coca2020_overview.pdf
Apr 24, 2023 - Corpus of Contemporary American English (COCA)
Adobe PDF - 5.0 MB - MD5: 32128d2b4426f7e00f9898fab3731f43
Documentation
Overview of the Corpus of Contemporary American English (COCA) . Pdf format.
Los Angeles Metropolitan Area Surveys [LAMAS] 1, 1970
Los Angeles Metropolitan Area Surveys [LAMAS] 1, 1970
May 18, 2022 - Los Angeles Metropolitan Area Surveys, 1-10
JAMISON, JINA, 2021, "Los Angeles Metropolitan Area Surveys [LAMAS] 1, 1970", https://doi.org/10.25346/S6/3PVHFI, UCLA Dataverse, V5, UNF:6:UAP353CDdkSNVE3MmmOXTw== [fileUNF]
The Los Angeles Metropolitan Areas Studies (LAMAS) were conducted ten times between 1970 and 1976. The goal of the LAMAS studies is the development of a set of standard community profile measures appropriate for use in the planning and evaluation of public policy. In addition, in...
la_county_test2.geojson
May 18, 2022 - Los Angeles Metropolitan Area Surveys [LAMAS] 1, 1970
GeoJSON - 4.7 MB - MD5: 7d9994f1c94b086f180c1c2e32cdc371
geojsonGeospatial
GeoJSON file created with ArcGIS Pro
lamas1_test2.geojson
May 18, 2022 - Los Angeles Metropolitan Area Surveys [LAMAS] 1, 1970
GeoJSON - 599.9 KB - MD5: bc58e4d4330e54870e3571a0c2b1ad7b
geojsonGeospatial
GeoJSON file created with ArcGIS Pro
Add Data

Log in to create a dataverse or add a dataset.

Log In
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.