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- Creator:
- Sweetland Center for Writing
- Description:
- The interviews included in this folder were conducted as part of a longitudinal study in writing development published in Developing Writers in Higher Education: A Longitudinal Study (University of Michigan Press, 2019). Interviews were conducted upon students' entry into the study (files labelled "entry") and exit from the study (files labelled "exit"). To learn more about this study, please see the epublication https://doi.org/10.3998/mpub.10079890 and the website https://www.developingwritersbook.org/pages/about/about-the-study/.
- Keyword:
- interview, transcript, and developing writers
- Citation to related publication:
- GERE, A. R. (Ed.). (2019). DEVELOPING WRITERS IN HIGHER EDUCATION: A longitudinal study. S.l.: UNIV OF MICHIGAN PRESS. https://doi.org/10.3998/mpub.10079890 This data set is related to "Developing Writers: Writing Samples" available at: https://deepblue.lib.umich.edu/data/concern/data_sets/r207tp36h?locale=en
- Discipline:
- Humanities
- Title:
- Developing Writers Interview Transcripts
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- Creator:
- Crisp, Dakota N., Cheung, Warwick, Gliske, Stephen V., Lai, Alan, Freestone, Dean R., Grayden, David B., Cook, Mark J., and Stacey, William C.
- Description:
- The data and the scripts are to show that seizure onset dynamics and evoked responses change over the progression of epileptogenesis defined in this intrahippocampal tetanus toxin rat model. All tests explored in this study can be repeated with the data and scripts included in this repository. and Dataset citation: Crisp, D.N., Cheung, W., Gliske, S.V., Lai, A., Freestone, D.R., Grayden, D.B., Cook, MJ., Stacey, W.C. (2019). Epileptogenesis modulates spontaneous and responsive brain state dynamics [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/r6vg-9658
- Keyword:
- evoked response, stimulation, bifurcation, epilepsy, seizure, divergence, and dynamics
- Citation to related publication:
- Discipline:
- Engineering, Science, and Health Sciences
- Title:
- Epileptogenesis modulates spontaneous and responsive brain state dynamics - Code & Data
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- Creator:
- Ruas, Terry, Grosky, William, and Aizawa, Akiko
- Description:
- This data set is a collection of word similarity benchmarks (RG65, MEN3K, Wordsim 353, simlex999, SCWS, yp130, simverb3500) in their original format and converted into a cosine similarity scale. In addition, we have two Wikpedia Dumps from 2010 (April) and 2018 (January) in which we provide the original format (raw words), converted using the techniques described in the paper (MSSA, MSSA-D and MSSA-NR) (title in this repository), and also the word embeddings models for 300d and 1000d using a word2vec implementation. A readme.txt is provided with more details for each file.
- Keyword:
- multi-sense embeddings, MSSA, word2vec, wikipedia dump, synset, and natural language processing
- Citation to related publication:
- https://doi.org/10.1016/j.eswa.2019.06.026
- Discipline:
- Other
- Title:
- Multi-Sense embeddings through a word sense disambiguation process
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- Creator:
- Ruas, Terry, Ferreira, Charles H. P., Grosky, William, França, Fabrício O., and Medeiros, Débora M. R,
- Description:
- The relationship between words in a sentence often tell us more about the underlying semantic content of a document than its actual words, individually. Recent publications in the natural language processing arena, more specifically using word embeddings, try to incorporate semantic aspects into their word vector representation by considering the context of words and how they are distributed in a document collection. In this work, we propose two novel algorithms, called Flexible Lexical Chain II and Fixed Lexical Chain II that combine the semantic relations derived from lexical chains, prior knowledge from lexical databases, and the robustness of the distributional hypothesis in word embeddings into a single decoupled system. In short, our approach has three main contributions: (i) unsupervised techniques that fully integrate word embeddings and lexical chains; (ii) a more solid semantic representation that considers the latent relation between words in a document; and (iii) lightweight word embeddings models that can be extended to any natural language task. Knowledge-based systems that use natural language text can benefit from our approach to mitigate ambiguous semantic representations provided by traditional statistical approaches. The proposed techniques are tested against seven word embeddings algorithms using five different machine learning classifiers over six scenarios in the document classification task. Our results show that the integration between lexical chains and word embeddings representations sustain state-of-the-art results, even against more complex systems. Github: https://github.com/truas/LexicalChain_Builder
- Keyword:
- document classification, lexical chains, word embeddings, synset embeddings, chain2vec, and natural language processing
- Citation to related publication:
- Discipline:
- Other, Engineering, and Science
- Title:
- Enhanced word embeddings using multi-semantic representation through lexical chains
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- Creator:
- Hongyang Zhou
- Description:
- The outputs include the steady state solutions for all Galileo flybys, the particle information for plotting the distribution functions near the reconnection site, the particle and field data for mapping the energetic flux densities, and 3D files for visualizing the whole simulation domain. More details can be found in Readme.txt.
- Keyword:
- MHD and PIC
- Citation to related publication:
- Discipline:
- Science
- Title:
- Ganymede simulation with MHD-EPIC model
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- Creator:
- Crisp, Dakota N., Saggio, Maria L., Scott, Jared, Stacey, William C., Nakatani, Mitsuyoshi, Gliske, Stephen V., and Lin, Jack
- Description:
- This data and scripts are meant to test and show seizure differentiation based on bifurcation theory. A zip file is included which contains real and simulated seizure waveforms, Matlab scripts, and metadata. The matlab scripts allow for visual review validation and objective feature analysis. The file “README.txt” provides more detail about each individual file within the zip file. and Data citation: Crisp, D.N., Saggio, M.L., Scott, J., Stacey, W.C., Nakatani, M., Gliske, S.F., Lin, J. (2019). Epidynamics: Navigating the map of seizure dynamics - Code & Data [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/ejhy-5h41
- Keyword:
- Bifurcation, Epilepsy, Seizure, and Divergence
- Citation to related publication:
- Discipline:
- Engineering, Science, and Health Sciences
- Title:
- Epidynamics: Navigating the map of seizure dynamics - Code & Data
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- Creator:
- Ingrid L. Hendy and Yi Wang
- Description:
- This dataset includes scanning X-ray fluorescence (XRF) data for the core MV0811-14JC (34.2818°N 120.0360°W, water depth: 582 m), which was collected by the research vessel R/V Melville off Southern California in 2008.11. The research is funded by NSF OCE-1304327.
- Keyword:
- scanning X-ray fluorescence, XRF, Santa Barbara Basin, and MV0811-14JC
- Citation to related publication:
- Discipline:
- Science
- Title:
- Scanning X-ray fluorescence (XRF) for MV0811-14JC
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- Creator:
- Ingrid L. Hendy and Yi Wang
- Description:
- This dataset includes core physical properties (e.g., bulk density, porosity, P-wave velocity) and magnetic susceptibility data for the jumbo piston core MV0811-14JC (34.2818°N 120.0360°W, water depth: 582 m) measured on the multisensor track (MST). MV0811-14JC was collected by the research vessel R/V Melville off Southern California in 2008.11. The study is supported by NSF OCE-1304327.
- Keyword:
- physical properties, magnetic susceptibility, Santa Barbara Basin, and MV0811-14JC
- Citation to related publication:
- Discipline:
- Science
- Title:
- Physical properties and magnetic susceptibility for MV0811-14JC
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- Creator:
- Ingrid L. Hendy and Yi Wang
- Description:
- This dataset contains core photos for the jumbo piston core MV0811-14JC (34.2818°N 120.0360°W, water depth: 582 m) retrieved in 2008.11 on R/V Melville off Southern California. MV0811-14JC contains 10 sections (section 1-10). Sections 1-3 were scanned at the LacCore Facility (National Lacustrine Core Facility) at University of Minnesota, while photos for section 4-10 were taken at Marine Geology Repository at Oregon State University. The study is funded by NSF-OCE 1304327. and Data citation: Hendy, I.L., Wang, Y. (2019). Core photos for MV0811-14JC [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/3m31-yb44
- Keyword:
- core photos, Santa Barbara Basin, and MV0811-14JC
- Citation to related publication:
- Discipline:
- Science
- Title:
- Core photos for MV0811-14JC
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- Creator:
- Ingrid L. Hendy and Yi Wang
- Description:
- This dataset contains photo of the box core SPR0901-04BC (34.2816°N, 120.0415°W, 588 m water depth) retrieved from 2009.1 on the R/V Sproul. The study is funded by OCE-0752093. and Data citation: Hendy, I.L., Wang, Y. (2019). Core photo for SPR0901-04BC [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/9nxx-hd15
- Keyword:
- core photo, Santa Barbara Basin, and SPR0901-04BC
- Citation to related publication:
- Discipline:
- Science
- Title:
- Core photo for SPR0901-04BC