11 to 20 of 3,566 Results
Jul 26, 2023 - UCLA Law COVID Behind Bars Data Project
DOLOVICH, SHARON, 2022, "Covid-19 Related Immigration Filings", https://doi.org/10.25346/S6/A59TED, UCLA Dataverse, V2
Early in the pandemic, Theresa Cheng and Joanne Choi joined the project as co-leads of our Immigration Detention Team. In addition to tracking COVID cases and deaths in ICE facilities (an effort that has since been folded into our core data collection: https://uclacovidbehindbars... |
Jul 26, 2023 -
Covid-19 Related Immigration Filings
Comma Separated Values - 8.1 KB -
MD5: 631efa90e07939bfd3010d447a1e0222
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Jul 26, 2023 -
Covid-19 Related Immigration Filings
Adobe PDF - 85.1 KB -
MD5: d3ab43c2829a2b6ad9ef7ee71c895e28
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Jul 26, 2023 - UCLA Law COVID Behind Bars Data Project
DOLOVICH, SHARON, 2022, "COVID-19 Visitation Policy by State (Prisons)", https://doi.org/10.25346/S6/N3CMHL, UCLA Dataverse, V3
This data set was originally just a list created by Keegan Hawkins UCLAW ’21, in early March 2020 when prison systems around the country began to cancel visits. When we launched our open-source spreadsheet, this tab sat alongside Correctional Population Reduction Requests. We ult... |
Jul 26, 2023 -
COVID-19 Visitation Policy by State (Prisons)
Adobe PDF - 109.2 KB -
MD5: 2b0aa41a94ce6b0b79e6b32d7c14b91f
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Jul 25, 2023 - UCLA Law COVID Behind Bars Data Project
DOLOVICH, SHARON; PALMER, JORDAN, 2022, "Covid-19 Fundraisers and Mutual Aid Efforts", https://doi.org/10.25346/S6/QSRQED, UCLA Dataverse, V4, UNF:6:fiPfjoFyKMguXjOSpPWJGQ== [fileUNF]
This data set was initially launched by Jordan Palmer, UCLAW 2021, who served as the first team lead of our Grassroots and Other Organizing Team. In investigating grassroots actions undertaken by incarcerated people and their loved ones and communities to draw attention to the pl... |
Jul 25, 2023 -
Covid-19 Fundraisers and Mutual Aid Efforts
Adobe PDF - 77.6 KB -
MD5: 8a6544c542ac633a135907e5453e4c0f
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Mar 14, 2023 - UCLA Science Libraries Research Projects
ALI, IBRAHEEM; Jason Burton; Wynn Tranfield, 2022, "Assessing the publishing priorities and preferences among STEM researchers at UCLA", https://doi.org/10.25346/S6/5OYU8Y, UCLA Dataverse, V2
This dataverse contains data and code used to generate the statistics and data visualizations underlying a research study focusing on assessing the publishing priorities and preferences among STEM researchers at UCLA. |
MS Word - 1.0 MB -
MD5: b3789666309a729d768ba99a05a50ac6
The knitted R markdown file showing the code and complete output for the analysis in our manuscript, with some edits to fix formatting and language. |
R Notebook - 72.5 KB -
MD5: 5cbbcc581cd78c4340d96c729f8b7919
The original R markdown document. |