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- Creator:
- Cuyler, Antonio, Carruthers, Matthew, and Imbesi, Jason
- Description:
- we conducted an emergent qualitative systematic content analysis of scholarship published in Cultural Trends, the International Journal of Cultural Policy, and the Journal of Arts Management, Law, and Society since the peer-reviewed journals’ inceptions.
- Keyword:
- content analysis, cultural policy, and oppression
- Discipline:
- Humanities and Arts
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- Creator:
- Gonzales, Wilkinson Daniel Wong
- Description:
- The Lannang Corpus (LanCorp) is a sociolinguistic POS-tagged 375,000-word speech-and-text corpus of Lannang languages based on audio recordings collected in metropolitan Manila between 2016 and 2020. It hopes to furnish scholars interested in Sino-Philippine (socio)linguistics with a contemporary, multilingual corpus (i.e., Hokkien, Tagalog, English, Lánnang-uè, Mandarin) compiled using recorded oral data primarily collected from a Sino-Philippine community in metropolitan Manila by the community: the Manila Lannangs. The publicly available corpus contains manual transcriptions (time-aligned to the audio), source language and part-of-speech tags derived using a mix of manual and computational methods, and a wide range of social metadata; it is also organized and stored systematically for easy data retrieval and (socio)linguistic analysis. Although there are existing sociolinguistic corpora, they are small in scale and were not released publicly due to lack of informant consent – LanCorp readily fills the gap.
- Keyword:
- Lannang, Chinese Filipino, Filipino-Chinese, Hokkien, diaspora, mixed language, recordings, oral variety, multilingual, corpus, data, dataset, databank, LanCorp, Lannang Corpus, sociolinguistics, and ELAN
- Citation to related publication:
- [1] Gonzales, Wilkinson Daniel Wong. 2021. Interactions of Sinitic languages in the Philippines: Sinicization, Filipinization, and Sino-Philippine language creation. The Palgrave handbook of Chinese language studies, ed. by Zhengdao Ye. London: Palgrave-MacMillan., [2] Gonzales, Wilkinson Daniel Wong. 2021. Filipino, Chinese, neither, or both? The Lannang identity and its relationship with language. Language & Communication 77., [3] Gonzales, Wilkinson Daniel Wong. 2022. “Truly a Language of Our Own” A Corpus-Based, Experimental, and Variationist Account of Lánnang-uè in Manila. Ann Arbor: University of Michigan Ph.D. dissertation., [4] Gonzales, Wilkinson Daniel Wong. 2022. Hybridization. Philippine English: Development, Structure, and Sociology of English in the Philippines, ed. by Ariane Macalinga Borlongan. London: Routledge., and [5] Gonzales, Wilkinson Daniel Wong. in preparation. Advancing Sino-Philippine (socio)linguistics using the Lannang Corpus (LanCorp) – a multilingual, POS-tagged, and audio-textual databank.
- Discipline:
- Social Sciences
-
Transmission of Oral microbiome and Sequencing
User Collection- Creator:
- Lee, Kyu Han
- Description:
- De-identified participant data from household transmission study of influenza in Nicaragua Oligotype count table and taxonomic classifications
- Keyword:
- Influenza and Microbiome
- Discipline:
- Health Sciences
2Works -
- Creator:
- Yan, Xiang (Jacob), Clarke, Phillipa J., Okullo, Dolorence, Goodspeed, Robert, Data Driven Detroit, Gomez-Lopez, Iris N., and Veinot, Tiffany C
- Description:
- This collection was produced as part of the project, “A ‘Big Data’ Approach to Understanding Neighborhood Effects in Chronic Illness Disparities.” The Investigators for the project are Tiffany Veinot, Veronica Berrocal, Phillipa Clarke, Robert Goodspeed, Daniel Romero, and VG Vinod Vydiswaran from the University of Michigan. The study took place from 2015-2016, with funding from the University of Michigan’s Social Sciences Annual Institute, MCubed, and the Sloan and Moore Foundations. Contact: Tiffany Veinot, MLS, PhD Office: 3443 North Quad Phone: 734/615-8281 Email: tveinot@umich.edu MCubed project page: https://mcubed.umich.edu/projects/%E2%80%9Cbig-data%E2%80%9D-approach-understanding-neighborhood-effects-chronic-illness-disparities
- Keyword:
- Food Environment, Health Status, Employment, Health Care Resources, Neighborhood Safety, Healthcare Utilization, Transportation, Census tract level, Information and Education Environment, Spatial Measures, Detroit, Active Living Resources, Social Environment, Demographics, Community Health, Housing, and student-friendly
- Discipline:
- Social Sciences
6Works -
- Creator:
- Hero, Alfred O, Zhai, Yaya, Burke, Thomas, Doraiswamy, Murali, Ginsburg, Geoffrey S, Henao, Ricardo, Turner, Ronald B, and Woods, Christopher W
- Description:
- The data deposited here is as follows: The clinical shedding/symptom data, RNAseq, steroid, and wearable E4 data was partially presented in publications [1]-[3] and the cognitive lumos and VAFS data is presented in the paper [4], which is under review and embargoed. The data files are: subject.json, sample.json, and genematrix_TPM.csv. In addition, a copy of the blank consent form used to enroll volunteers in the study is included (17964_Adult Consent_2015Mar17-Mod 1_clean.pdf)., Clinical symptom and viral shedding data (in subject.json): reports each subject's accumulated and maximum self-reported symptom score (modified Jackson score) and shedding titrations from nasal-pharyngeal washes after inoculation. , RNAseq data (genematrix_TMP.csv): Whole blood was collected in PAXgene™ Blood RNA tubes (PreAnalytiX), and total RNA extracted using the PAXgene™ Blood miRNA Kit (QIAGEN) using the manufacturer’s recommended protocol. RNA quantity and quality were assessed using Nanodrop 2000 spectrophotometer (Thermo-Fisher) and Bioanalyzer 2100 with RNA 6000 Nano Chips (Agilent). RNA sequencing libraries were prepared using Illumina TruSeq mRNA Library Kit with RiboZero Globin depletion, and sequenced on an Illumina NextSeq sequencer with 50bp paired-end reads (target 40M reads per sample). After demultiplexing to FASTQ paired-end read counts files, the 396 samples were TPM transformed using HISAT2 software with the reference genome Homo_sapiens.GRCh38.84. Each sample corresponds to one of the 18 subjects at one of 22 time points. One of these samples was of insufficient quality to be mapped to read counts. In addition to the TPM normalized RNAseq data contained in this repository, the raw FASTQ data for the 395 samples are deposited in the GEO repository ( https://www.ncbi.nlm.nih.gov/geo), Accession # GSE215087. , Cognitive data (sample.json): Outcomes from a NeuroCognitive Performance Test (NCPT) that was taken approximately 3 time daily by all volunteers. The NCPT is a repeatable, web-based, computerized, cognitive assessment platform designed to measure subtle changes in performance across multiple cognitive domains. Subject scores along 18 cognitive variables data were collected at approximated 22 time points during the challenge study. The data structure sample.json contains the raw cognitive data and the extracted 18 cognitive scores over time for each subject. , The Visual Analog Fatigue Scale (sample.json): the VAFS is a measure of cognitive fatigue that was measured approximately 3 times per day at the same time as the NCPT and blood draw. , Wearable device data (sample.json): participants wore an Empatica E4 device for the duration of the challenge study. Summarized features are provided for each subject that include sleep duration (mean and std), sleep offset (mean and std), and temperature (mean and std). , Steroid data was also collected and is included in the sample.json. This steroid data was collected from the whole blood samples and consists of cortisol, melatonin, and DHEAS. , and See README.txt for more specific details on the data structures contained in the sample.json, subject.json, and genematrix_TPM.csv files.
- Keyword:
- human challenge study and cognitive health and immunity
- Citation to related publication:
- X She, Y Zhai, R Henao, CW Woods, C Chiu, Geoffrey S. Ginsburg, Peter X.K. Song, AO. Hero, “Adaptive multi-channel event segmentation and feature extraction for monitoring health outcomes,” IEEE Transactions on Biomedical Engineering, vol. 68, no. 8, pp. 2377-2388, Aug. 2021, doi: 10.1109/TBME.2020.3038652. Available on arxiv:2008.09215 , Emilia Grzesiak, Brinnae Bent, Micah T. McClain, Christopher W. Woods, Ephraim L. Tsalik, Bradly P. Nicholson, Timothy Veldman, Thomas W. Burke, Zoe Gardener, Emma Bergstrom, Ronald B. Turner, Christopher Chiu, P. Murali Doraiswamy, Alfred Hero, Ricardo Henao, Geoffrey S. Ginsburg, Jessilyn Dunn Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset. JAMA Netw Open. 2021;4(9):e2128534. doi:10.1001/jamanetworkopen.2021.28534 , E Sabeti, S Oh, PX Song, A Hero. “A Pattern Dictionary Method for Anomaly Detection,” Entropy, vol 24, pp. 1095 Aug 2022. doi: 10.3390/e24081095, and Yaya Zhai, P. Murali Doraiswamy, Christopher W. Woods, Ronald B. Turner, Thomas W. Burke, Geoffrey S. Ginsburg, Alfred O. Hero, "Pre-exposure cognitive performance variability is associated with severity of respiratory infection," manuscript under review.
- Discipline:
- Health Sciences and Social Sciences
-
- Creator:
- Yu, Chi-Lin, Eggleston, Rachel, Zhang, Kehui, Nickerson, Nia, Sun, Xin, Marks, Rebecca A., Hu, Xiaosu, Brennan, Jonathan R. , Wellman, Henry M. , and Kovelman, Ioulia
- Description:
- The dataset includes 51 children (age range = 6-12 years) who listened to the first chapter of Alice’s Adventures in Wonderland during fNIRS neuroimaging. We also provide the text of the story with several word-by-word predictors motivated by research in Theory of Mind development and language. These annotated, naturalistic datasets can be used to replicate prior work and test new hypotheses about everyday social cognition and natural language comprehension in the developing brain.
- Keyword:
- neuroimaging, fNIRS, Children, Theory of Mind, Language, Naturalistic Neuroscience, and Story Listening
- Discipline:
- Science
-
- Creator:
- Heath, Jeffrey
- Description:
- For content see the "notes" file inside the work. Most of the recordings are translated and annotated at the end of the reference grammar (see link to Deep Blue Documents).
- Keyword:
- Bozo, Jenaama, Cliffs
- Discipline:
- Humanities
-
- Creator:
- Heath, Jeffrey
- Description:
- these and other recordings are data for a reference grammar of Kelenga that, when completed, will be archived in the collection "Bozo languages of Mali (documents)" in Deep Blue Documents. For contents see the "notes" file inside the work. A few of the Kelenga texts are being transcribed, others will be left for others to transcribe or listen to as they wish.
- Keyword:
- Bozo and Kelenga
- Discipline:
- Humanities
-
- Creator:
- Heath, Jeffrey
- Description:
- recordings made in Barato village. Referred to as "text 2021-02" and "text 2021-03." Text 2021-03 is transcribed and annotated at the end of the reference grammar (see link to Deep Blue Documents). Text 2021-02 covers a subset of the same content and has not been transcribed as of late 2022. See also "notes" file inside the work.
- Keyword:
- Bozo, Jenaama, Sorogaama
- Discipline:
- Humanities
-
- Creator:
- Heath, Jeffrey
- Description:
- A subset of the Kelenga recordings are being transcribed and will serve as data for the Kelenga reference grammar which, when finished, will be included in the collection "Bozo languages of Mali (documents)" in Deep Blue Documents (see link).
- Keyword:
- Bozo and Kelenga
- Discipline:
- Humanities