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1 to 10 of 10 Results
Dec 6, 2024 - Los Angeles Region Imagery Acquisition Consortium (LARIAC)
Los Angeles Region Acquisition Consortium (LARIAC), 2024, "LARIAC 6 Imagery and Elevation Data, 2019-2020", https://doi.org/10.25346/S6/LEKHRZ, UCLA Dataverse, V9
The LARIAC 6 data are digital aerial data collected from 2019/12/30 to 2020/03/05 and were published on 2020/10/13. LARIAC data are licensed to UCLA faculty, researchers and students only.
Nov 26, 2024 - Los Angeles Region Imagery Acquisition Consortium (LARIAC)
Los Angeles Region Acquisition Consortium (LARIAC), 2024, "LARIAC 5 Imagery and Elevation Data in Los Angeles County, CA in 2017.", https://doi.org/10.25346/S6/E3NVW2, UCLA Dataverse, V2
LARIAC 5
Nov 25, 2024 - Los Angeles Region Imagery Acquisition Consortium (LARIAC)
Los Angeles Region Imagery Acquisition Consortium (LARIAC), 2024, "LARIAC 4 Imagery and Elevation Data in Los Angeles County, CA in 2015", https://doi.org/10.25346/S6/EABYOD, UCLA Dataverse, V2
This dataset are contour lines created from digital elevation model (DEM) that were derived from contains LiDAR-derived elevation data flown from October 31, 2015 to November, 5 2015 for Los Angeles County.
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.
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...
Text and Data Mining(University of California, Los Angeles)
Apr 24, 2023
Data for text mining and analysis
Apr 21, 2023 - Text and Data Mining
Davies, Mark, 2023, "Coronavirus Corpus", https://doi.org/10.25346/S6/6WMNQU, UCLA Dataverse, V5
The Coronavirus Corpus contains about 1.5 billion words of data in approximately 1.9 million texts from Jan 2020 - Dec 2022, and it is designed to be the definitive record of the social, cultural, and economic impact of the coronavirus (COVID-19) during this time. The corpus allo...
Apr 21, 2023 - Text and Data Mining
Davies, Mark, 2023, "News on the Web (NOW)", https://doi.org/10.25346/S6/8DCOWV, UCLA Dataverse, V14
The NOW corpus (News on the Web) contains 17.2 billion words of data from web-based newspapers and magazines from 2010 to the present time (the most recent day is 2023-04-23). More importantly, the corpus grows by about 180-200 million words of data each month (from about 300,000...
May 12, 2021 - Text and Data Mining
Davies, Mark, 2021, "Corpus of Historical American English (COHA)", https://doi.org/10.25346/S6/6I8JL1, UCLA Dataverse, V12
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 variation...
Los Angeles Region Imagery Acquisition Consortium (LARIAC)(University of California, Los Angeles)
Los Angeles Region Imagery Acquisition Consortium (LARIAC) logo
Aug 21, 2020
Since 2018, UCLA has been a member of Los Angeles Region Imagery Acquisition Consortium (LARIAC) Program, is a collaborative acquisition program for digital aerial imagery data which has included the participation of 30+ Los Angeles County departments, 40+ municipalities, and man...
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