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- Creator:
- CTEES
- Description:
- Reconstructed CT slices for skull of Heterotis niloticus (University of Michigan Museum of Zoology catalog number UMMZ Fish 195004) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
- Keyword:
- Zoology, Ichthyology, Fish, CT, Osteoglossidae, and UMMZ
- Discipline:
- Social Sciences
-
- Creator:
- Carlson, Jake
- Description:
- This data set is my analysis of data management plans (DMPs) that were written by researchers at the University of Michigan for awards made between March 2020 and February 2021. I conducted this analysis to explore the potential utility of DMPs as a tool to aid data curators in understanding and working with the associated data set. Variables collected include: the types and formats of the expected data sets, information about the metadata and documentation to be generated, the anticipated methods for making the data set publicly available, references to Intellectual Property allowances or concerns, and the stated duration for preserving the data sets.
- Keyword:
- Data management plans, Data curation, Data sharing, and Content Analysis
- Citation to related publication:
- Carlson, J. (2023) Untapped Potential: A Critical Analysis of the Utility of Data Management Plans in Facilitating Data Sharing. Journal of Research Administration. Fall 2023. Forthcoming.
- Discipline:
- Social Sciences
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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 (BrainVision format), data processing parameters (matlab), and variables used to align the stimuli with the EEG data and for the statistical analyses reported in the paper (csv spreadsheet). and Updates in Version 2: - data in BrainVision format - added information about data analysis - corrected prePROCessing information for S02
- Keyword:
- Linguistics, Speech, and EEG
- Citation to related publication:
- Brennan, J. R., & Hale, J. T. (2019). Hierarchical structure guides rapid linguistic predictions during naturalistic listening. PLoS ONE 14(1). e0207741
- Discipline:
- Social Sciences
-
- Creator:
- Eckel, Catherine, Hoover, Hanna, Krupka, Erin, Sinha, Nishita, and Wilson, Rick
- Description:
- The research reported here is part of a larger study where we recruited students from the entering undergraduate classes in 2016, 2017, 2018 and 2019 at Rice University. The aim of the larger project is to examine the evolution of economic preferences (altruism, risk aversion, time preference, competitiveness, loss aversion, in-group favoritism, among others) across their college years. Subjects participated in numerous laboratory and online studies between matriculation and 2021. This paper uses data from the experimental design of a subset of tasks that subjects completed. The survey wave used in this paper was collected in June and July of 2021. This survey was composed of fifteen modules and had a total of 710 participants. and The survey consisted of 15 modules. Module 1 consisted of questions on COVID-19 related behavior and future expectations of the COVID-19 pandemic. Module 2 consisted of an emotion elicitation task. Module 3 solicited trust levels of several authorities and news outlets. Module 4 consisted of several general socioeconomic preference questions. Module 5 asked questions related to how frequently subjects provide various forms of help. Module 6 solicited social appropriateness ratings regarding COVID-19 preventative behavior. Module 7 consisted of an estimation task. Module 8 was the dictator game with the freshmen recipient. Module 9 involved a risky investment decision task. Module 10 was the dictator game with the same-class recipient. Module 11 involved a trust-game. Module 12 was the dictator game with charity as the recipient. Module 13 asked questions regarding help received by the university as well as COVID-19 academic impact. Module 14 included questions regarding the subjects’ COVID-19 infection status. Module 15 posed questions regarding subjects’ resiliency. Only modules 8, 10, and 12 were used in this analysis. These corresponded to Q11 - Q18 of the instrument. In each module, subjects played a dictator game, guessed what others did in the game and played a coordination game designed to elicit norms for the dictator game they just played. After the subject completed the survey, we randomly selected a module for payment. Subjects then received an email alerting the subject which module was selected for payment and how much money they would receive given their responses in the selection module. Data was analyzed using STATA; if running the do file for STATA, and not already installed, then add ""capture ssc install estout" to the very top of the .do file.
- Keyword:
- Dictator game, Social norms, and Charitable giving
- Discipline:
- Social Sciences
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- Creator:
- Hoover, Lindzey V
- Description:
- The study investigates co-occurring PTSD and food addiction in a community sample with results stratified by gender. Data for co-occurring problematic substance use and obesity are also included to allow for within-sample comparison. Participants were asked to complete self-report measures on post-traumatic stress disorder (PTSD), food addiction, problematic substance use (alcohol, cannabis, smoking, and nicotine vaping), and BMI. Participants also completed demographic questions. Pearson zero-order correlation analyses were conducted between primary variables of interest and demographic variables to identify potential sociodemographic covariates. Subjective socioeconomic status (SES) and age were both included as covariates in the current model. We estimated unadjusted and adjusted risk ratios among food addiction, PTSD, problematic substance use (i.e., alcohol, cannabis, smoking, and nicotine vaping) and obesity using Modified Poisson regression with robust standard error estimations. We ran these analyses for the whole same and stratified by gender identity. Food addiction co-occurred with PTSD at comparable or stronger rates than other types of problematic substance use (alcohol, cannabis, smoking, nicotine vaping). Results suggested that this risk may be particularly high for men compared to women. It may be important to assess for food addiction in those with PTSD to assist in identifying high-risk groups.
- Keyword:
- food addiction, post-traumatic stress disorder (PTSD), substance use, gender, and obesity
- Citation to related publication:
- Hoover, L. V., Yu, H. P., Duval, E. R., & Gearhardt, A. N. (In Press). Investigating gender differences in the Co-occurrence of PTSD and food addiction. Appetite. https://doi.org/10.1016/j.appet.2023.106605.
- Discipline:
- Social Sciences
-
- 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
-
- Creator:
- Samuel, Sara M, Wilson, Diane L, and Fleming, Emily K
- Description:
- The International Committee of Medical Journal Editors (ICMJE) requires researchers to post individual participant data (IPD) plans for interventional clinical trials with registration in order to be eligible for publication in its member journals. This study looked at how researchers interpret the ICMJE requirements and the related prompts for information used by ClinicalTrials.gov. This data consists of the analyzed contents of the IPD plans that researchers at the University of Michigan (U-M) submitted with trial registrations for the first 27 months that the 2019 requirement was in effect.
- Keyword:
- research data sharing, research data policy, research data, clinical trials, ClinicalTrials.gov, individual participant data, IPD, data sharing plan, and compliance
- Citation to related publication:
- Samuel, S. M. & Wilson, D. L. & Fleming, E., (2023) “Evaluating individual participant data plans for ICMJE compliance: A case study at University of Michigan”, Journal of the Society for Clinical Data Management 3(4). doi: https://doi.org/10.47912/jscdm.257
- Discipline:
- Health Sciences, Social Sciences, and General Information Sources
-
Mound survey
User Collection- Creator:
- Galaty, Michael
- Description:
- TBD
- Keyword:
- archaeology
- Discipline:
- Humanities and Social Sciences
0Works -
- Creator:
- Teplitskiy, Misha, Peng, Hao, Blasco, Andrea, and Lakhani, Karim R.
- Description:
- The data sources and methods used to process the raw data are described in the paper www.doi.org/10.1073/pnas.2118046119 and the associated Supplementary Information. These data are anonymized (see Methodology for details). Consequently, running the same code on these data vs. the data in the paper does not yield *identical* results but qualitatively similar ones.
- Citation to related publication:
- www.doi.org/10.1073/pnas.2118046119
- Discipline:
- Social Sciences
-
- 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:
- Hoover, Lindzey V
- Description:
- This study investigated psychological, biological/neural, and environmental factors related to adverse food advertising effects on adolescent weight. Participants were asked to complete an fMRI task measuring neural response to food commercials (unhealthy, healthier) and non-food commercials. As part of the larger study, participants also completed demographic questions, self-report measures, behavioral tasks (i.e., food go/no-go task, food delay discounting task, progressive reinforcement paradigm), an ad-libitum food consumption task, and height and weight measures.
- Keyword:
- food advertising, commercials, eating, fast food, adolescents, and fMRI
- Citation to related publication:
- Gearhardt, A. N., Yokum, S., Harris, J. L., Epstein, L. H., & Lumeng, J. C. (2020). Neural response to fast food commercials in adolescents predicts intake. The American journal of clinical nutrition, 111(3), 493–502. https://doi.org/10.1093/ajcn/nqz305
- Discipline:
- Social Sciences
-
- Creator:
- Creery, Jessica D. , Brang, David, Arndt, Jason D. , Bassard, Adrianna , Towle, Vernon L. , Tao, James X, Wu, Shasha, Rose, Sandra, Warnke, Peter C. , Issa, Naoum, and Paller, Ken A.
- Description:
- Key Points: - We provide a dataset obtained from iEEG - A total of 5 participants completed the tasks that involved an audio-visual spatial memory task with memory associated sounds played during sleep. - The data is fully preprocessed and ready for analysis in three unique frequency bands; Theta (4-8Hz), sigma (12-16Hz), and gamma (20-100Hz). We followed up by testing low gamma (20-50 Hz), mid-gamma (50-80 Hz), and high gamma (80-100 Hz) as well as a separate ripple analysis. and Research Overview: Here, we investigated overnight memory change by measuring electrical activity in and near the hippocampus. Electroencephalographic (EEG) recordings were made in five patients from electrodes implanted to determine whether a surgical treatment could relieve their seizure disorders. One night, while each patient slept in a hospital monitoring room, we recorded electrophysiological responses to 10-20 specific sounds that were presented very quietly, to avoid arousal. Half of the sounds had been associated with objects and their precise spatial locations that patients learned before sleep. After sleep, we found systematic improvements in spatial recall, replicating prior results. We assume that when the sounds were presented during sleep, they reactivated and strengthened corresponding spatial memories. Notably, the sounds also elicited oscillatory intracranial EEG activity, including increases in theta, sigma, and gamma EEG bands. Gamma responses, in particular, were consistently associated with the degree of improvement in spatial memory exhibited after sleep. We thus conclude that this electrophysiological activity in the hippocampus and adjacent medial temporal cortex reflects sleep-based enhancement of memory storage.
- Citation to related publication:
- Creery JD, Brang D, Arndt JD, Bassard A, Towle VL, Tao JX, Wu S, Rose S, Warnke P, Issa NP, Paller KA (in press). Electrical Markers of Memory Consolidation in the Human Brain when Memories are Reactivated during Sleep. Proceedings of the National Academy of Sciences.
- Discipline:
- Social Sciences
-
- 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:
- Hemphill, Libby
- Description:
- Social media data offer a rich resource for researchers interested in public health, labor economics, politics, social behaviors, and other topics. However, scale and anonymity mean that researchers often cannot directly get permission from users to collect and analyze their social media data. This article applies the basic ethical principle of respect for persons to consider individuals’ perceptions of acceptable uses of data. We compare individuals' perceptions of acceptable uses of other types of sensitive data, such as health records and individual identifiers, with their perceptions of acceptable uses of social media data. Our survey of 1018 people shows that individuals think of their social media data as moderately sensitive and agree that it should be protected. Respondents are generally okay with researchers using their data in social research but prefer that researchers clearly articulate benefits and seek explicit consent before conducting research. We argue that researchers must ensure that their research provides social benefits worthy of individual risks and that they must address those risks throughout the research process.
- Keyword:
- social media, data ethics, and data reuse
- Discipline:
- Social Sciences
-
- Creator:
- Hoover, Lindzey V
- Description:
- This study investigated co-occurrence among food addiction (FA), problematic substance use (alcohol, cannabis, cigarettes, nicotine vaping), parental history of problematic alcohol use, and obesity. Participants (n=357) completed self-report measures on food addiction, personal substance use, and parental history of alcohol use. Participants also completed demographic questions and self-reported height and weight were used to calculate BMI. Pearson zero-order correlations were conducted to identify sociodemographic covariates (socioeconomic status, age, and sex at birth). Modified Poisson regression (with robust standard error estimations) were used to estimate risk ratios among food addiction, parental history of problematic alcohol use, personal substance use (alcohol, cannabis, cigarettes, nicotine vaping), and obesity. Significance was set at p<.05. However, given multiple testing, 99% CI estimates are reported in the final manuscript instead of 95% CI estimates. Unadjusted and adjusted (for sociodemographic covariates) analyses were conducted. Risk of food addiction was higher in participants with problematic alcohol, smoking, vaping, parental history of problematic alcohol use, and (in unadjusted only) cannabis use. Risk of food addiction was only higher in participants with obesity after adjusting for covariates. Obesity was not significantly associated with problematic substance use and parental history or problematic alcohol use. Thus, food addiction, but not obesity, co-occurred with problematic substance use and a family history of problematic alcohol use. Results support the conceptualization of food addiction as an addictive disorder.
- Keyword:
- Food Addiction, Substance Use, Obesity, and Family History
- Citation to related publication:
- Hoover, L. V., Yu, H. P., Cummings, J. R., Ferguson, S. G., & Gearhardt, A. N. (2022). Co-occurrence of food addiction, obesity, problematic substance use, and parental history of problematic alcohol use. Psychology of Addictive Behaviors. Advance online publication. DOI: 10.1037/adb0000870
- Discipline:
- Social Sciences
-
- Creator:
- Hoover, Lindzey V
- Description:
- This study investigated the mediating role of emotion dysregulation in the association between childhood trauma and food addiction. Participants (n=310) completed self-report measures of food addiction, childhood trauma experiences, emotion dysregulation, and demographic variables. Pearson zero-order correlations were conducted to identify potential covariates. Age, socioeconomic status, BMI, and education were significantly associated with study variables and were included as covariates in analyses. Moderated mediational analyses were used to investigate whether DERS (emotion regulation) mediated the association between the CTQ (childhood trauma) and YFAS2.0 (food addiction) and to explore whether gender identity (men vs women) moderated this association. Emotion dysregulation partially mediated associations between food addiction and childhood trauma. Gender moderated associations between childhood trauma and emotion dysregulation as well as childhood trauma and food addiction. Both moderating pathways were significantly stronger for men compared to women. Results suggest that emotion dysregulation may be an important mediating factor in the association between childhood trauma and food addiction, particularly for men.
- Keyword:
- childhood trauma, food addiction, emotion dysregulation, and gender differences
- Citation to related publication:
- Hoover, L. V., Yu, H. P., Duval, E. R., & Gearhardt, A. N. (2022). Childhood trauma and food addiction: The role of emotion regulation difficulties and gender differences. Appetite. Advance online publication. DOI: 10.1016/j.appet.2022.106137
- Discipline:
- Social Sciences
-
- Creator:
- Thomer, Andrea K. , Starks, Joseph R. , Rayburn, Alexandria, and Lenard, Michael
- Description:
- This dataset is the results from qualitatively coding the 76 articles that represent the dataset from our literature review. We categorized papers according to their approach (case study, other research project, position paper), setting (library, museum, research lab), and publication domain (library information science, computer science, domain publication, other). We also coded for the focus of the paper, and whether motivating needs were listed as a reason for migration.
- Citation to related publication:
- Thomer, AK, Starks, JS, Rayburn, A, Lenard, M. Maintaining repositories, databases, and digital collections in memory institutions: an integrative review. Accepted at the 85th Annual Association for Information Science and Technology.
- Discipline:
- 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:
- 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
-
- Creator:
- Benjamin Leffel
- Description:
- Time series dataset of adoption by year of climate action plans by 177 U.S. cities, 2010-2019, with links to plans included. This dataset is intended for use by researchers and practitioners investigating both individual climate action plans and time series patterns of adoption at the municipal level.
- Keyword:
- climate change, climate action plan, municipal, and Urban Sustainability Research Group
- Discipline:
- Social Sciences and Government, Politics and Law