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- Creator:
- Brennan, Jonathan R.
- Description:
- These files contain the raw data and processing parameters to go with the paper "Hierarchical structure guides rapid linguistic predictions during naturalistic listening" by Jonathan R. Brennan and John T. Hale. These files include the stimulus (wav files), raw data (matlab format for the Fieldtrip toolbox), data processing paramters (matlab), and variables used to align the stimuli with the EEG data and for the statistical analyses reported in the paper.
- Keyword:
- linguistics, syntax, language, and eeg
- Citation to related publication:
- Brennan JR, Hale JT (2019) Hierarchical structure guides rapid linguistic predictions during naturalistic listening. PLoS ONE 14(1): e0207741. https://doi.org/10.1371/journal.pone.0207741
- Discipline:
- Social Sciences
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- Creator:
- Xu, Ying and Bradford, Nora
- Description:
- The data was collected from a survey study using Qualtrics described above. The data are in .csv format along with a codebook also in .csv format.
- Keyword:
- social chatbot, perception, and artificial intelligence
- Discipline:
- Social Sciences
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- Creator:
- Vani Archaeological Survey
- Description:
- In 2009, an American-Georgian team of four archaeologists, four archaeology students, and a geophysicist carried out a four-week season of “extensive” survey of known archaeological sites, together with geophysical prospection at selected locations. In a second four-week season in 2010, with the additions of a geologist and an archaeobotanist, we continued our program of documentation of known sites and of exploratory geophysical prospection, and we also carried out limited test excavations at a number of sites. We returned for a shorter (one- to two-week) study seasons in 2011 and 2014, focusing on museum and archival research in Vani, Kutaisi, and Tbilisi., The area covered by our survey extends 15 km both east and west of Vani, and as far as 10 km south of Vani, from the Phasis River plain at approximately 50 m above sea level to the lower slopes of the lesser Caucasus, at approximately 1000 m above sea level. The purpose of the program was to visit all the previously identified archaeological sites in the region, and to integrate existing knowledge into a database of sites and a Geographical Information System. Each entry into this database is recorded as a dataset in this deposit. Entries recorded in 2009 are prefaced with the letter “A,” those recorded in 2010 are prefaced with the letter “B.” A single entry added in 2011 received the preface, “C.” In carrying out the survey, we depended heavily on the unpublished dissertation by Sulkhan Kharabadze, “Vanis Qveq’nis” Arqeologiuri Ruk’a (dzv.ts. VIII – akh.ts. III ss.) – Archaeological Map of the Territory of Vani (8th Century BC – 3rd Century AD) (Ph.D. dissertation: Georgian Technical University 2008). A map showing the locations of all the sites recorded by the survey is attached to this dataset., Our procedure for each site visit was as follows: we drove to the nearest village and searched out a local guide who could take us to the place we wished to see. We drove as far as we could to each site, then got out and walked, using GPS-equipped field computers (Trimble Geo-XM) to make a continuous record of our path. We recorded the lay of the land and any artifacts we saw en route (pottery sherds, traces of burnt daub, lithics and stone objects, architectural features in situ). We designated as points of interest any significant archaeological remains (concentrations of pottery, in situ features, notable stray finds, etc.), and every place we could identify where earlier discoveries had been made or archaeological excavations carried out. For every point of interest, we recorded the latitude, longitude, and elevation; took a series of digital photographs; and made a grab bag collection of pottery and other finds if possible. Where appropriate, we took basic measurements of architectural features (e.g., of Mediaeval towers). We also kept records of local place names, the names of our local guides, and any miscellaneous information they gave us. , Certain sites were selected for further investigation. These included Saqanchia A001, where we carried our geophysical survey and limited excavation; Shuamta, Melashvilebisgora A033, where we also carried out geophysical survey and limited excavation; Kveda Bzvani A047, where we carried out controlled collection of surface finds; and Zeda Bzvani, Meskhebisgora, A053, where we also carried out controlled collection of surface finds., The datasets recorded in this deposit include basic descriptions of each site, citations to previous publications, and links to relevant maps, photographs, and drawings. Where they exist, maps for individual datasets are labeled according to the name and number of the site, e.g., DapnariA002Map.jpg. The labels for photographs taken during the field season record their numbers in the sequence of photographs taken that season, e.g., Vani09.0047.jpg. A complete list of all photographs recorded in this way is available for download. Photographs and drawings of artifacts from individual sites made after the season are labeled with the names of the sites followed by the numbers assigned to the objects, with photographs saved as jpeg files, and drawings saved as tiff files; thus KvedaBzvani11-14.jpg is a photograph of objects 11-14 from the site of KvedaBzvani, while KvedaBzvani11-14.tif is a set of drawings of the same objects. Finally, drawings of sites where excavations were carried out are labeled with the name of the site, the number of the trench (if applicable), and the type of drawing, so that Shuamta2010.1Plan is a plan of Trench 2010.1 at Shuamta., and In addition, the collections in this deposit group datasets together according to important characteristics such as period (Bronze Age, Iron Age, etc.) or type (settlement, fortification, burial, and so on).
- Citation to related publication:
- Kharabadze, S.(2008). “Vanis Qveq’nis” Arqeologiuri Ruk’a (dzv.ts. VIII – akh.ts. III ss.) – Archaeological Map of the Territory of Vani (8th Century BC – 3rd Century AD). (Ph.D. dissertation).Georgian Technical University.
- Discipline:
- Social Sciences and Humanities
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- Creator:
- Krupka, Erin
- Description:
- The survey data used in this project is from two larger overarching projects titled the Rice Preferences Study and the Black Student Success Study. The Rice Preferences Study began with a sample of 661 entering undergraduates matriculating in August of 2016. This was 66.7% of the entering class, randomly selected. Of that sample, 553 completed the study with an 83.7% response rate. Prior to coming to campus in fall 2016 Rice students were given a battery of incentivized preference measures including risk aversion, loss aversion, altruism, in-group favoritism, time discounting, competitiveness, and so on. Over the subsequent four years that group was tested with new and repeated measures, in two to four tests per year. As a basis for comparison, each year a smaller sample (between 112 And 148) was drawn from incoming classes and tested with the same instruments. The remaining students from the Class of 2020 who had never been tested were invited in March 2020 to complete the initial study (259 of 376 completed the study). In March 2020, as Rice University closed, the team joined together to build a COVID module for the long-term Rice panel, as well as the other members of the Class of 2020. A total of 670 participated in this wave (67.1% of the graduating class). The Black Student Success Study recruited samples from PVAMU and TAMU in 2017 and again in 2019. This study aimed at understanding the effects of stereotype threat on Black student success in two different university environments in Texas: PVAMU, a historically Black university with about 9,000 students, 65% female, and 83% Black; and TAMU, a large state university with about 70,000 students, 47% female and 3.7% Black. That study was ongoing in 2020 when COVID struck. A total of 880 subjects responded to the initial survey out of a total of 3,709 who were contacted. Black subjects were over-sampled at TAMU, and constituted 37% of the TAMU sample. Respondents completed a one-hour survey that included measures of identity, non-cognitive skills, stereotype-threat vulnerability, and controls for economic preferences (survey measures) and family background. They were paid $20 for completing the study. In March 2020 additional funding was awarded through NSF to expand and follow the Rice, TAMU and PVAMU panels, focusing on the impact of COVID-19.
- Keyword:
- Norms, Preferences, Social Identity, COVID-19
- Discipline:
- Social Sciences
-
- Creator:
- Benjamin Leffel
- Description:
- The three datasets provided here identify the city location of all CDM projects in China by referencing the individual Project Description Documents (via the UNFCCC) attached to each project. Through this method, all 3,764 Clean Development Mechanism projects at the city-level in China are identified out of a total of over 8,000 globally.
- Keyword:
- climate finance, carbon offset, China, urban, clean development mechanism, cities, and climate change
- Citation to related publication:
- https://escholarship.org/uc/item/3vr8850s and https://doi.org/10.1002/wcc.709
- Discipline:
- Government, Politics and Law, Social Sciences, International Studies, and Business
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- Creator:
- Moser, Carol, Schoenebeck, Sarita , and Resnick, Paul
- Description:
- These data, survey instruments (including informed consent) and analysis scripts come from Carol Moser's dissertation titled, Impulse Buying: Designing for Self-Control with E-commerce.
- Keyword:
- Impulse Buying, Self-control, and Experimental Design
- Discipline:
- Social Sciences
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- Creator:
- Horsley, Timothy J. and Sampson, Christina P.
- Description:
- The data (raw data, composite files [processed], and some images) can be read by the program TerraSurveyor. Version 3.0.34.10 of the software was used to create the composite files in this deposit. and The magnetometer data was the second step in a geophysical survey program that began with magnetic susceptibility survey of a portion of the Weedon Island Preserve in St. Petersburg, Florida. Geophysical survey was used to map human occupation of the study area and to guide subsequent archaeological excavations.
- Keyword:
- magnetometry, geophysical survey, remote sensing, Florida archaeology, and coastal archaeology
- Citation to related publication:
- Sampson, C. P. (2019) Safety Harbor at the Weeden Island Site: Late Pre-Columbian Craft, Community, and Complexity on Florida's Gulf Coast. PhD Dissertation, University of Michigan. and Sampson, Christina Perry and Timothy J. Horsley. Using Multi-Staged Magnetic Survey and Excavation to Assess Community Settlement Organization: A Case Study from the Central Peninsular Gulf Coast of Florida. Advances in Archaeological Practice. Cambridge University Press: 18 December 2019. https://doi.org/10.1017/aap.2019.45
- Discipline:
- Science and Social Sciences
-
- 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
-
- 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
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