This eportfolio was created for the Gateway course of the Sweetland Minor in Writing to provide an opportunity for students to reflect on their growing identities as writers, as captured in their text-based and multimodal compositions produced over the Gateway semester. The title of the work contains the pseudonym created for the study while the creator field lists the student's given name to allow proper attribution for their work. The eportfolio is collected here as an artifact in the Sweetland Writing Development Study, which has been published as Developing Writers in Higher Education: A Longitudinal Study (University of Michigan Press, 2019). To learn more about this study, please see the epublication https://doi.org/10.3998/mpub.10079890, and to learn more about the Minor in Writing program and the eportfolio prompts, please see Appendix 2a - https://doi.org/10.3998/mpub.10079890.cmp.1 to the publication.
There is a directory tree inside this zipped file. The main directory has the Adobe Illustrator plots of the figures in the paper, Space Weather journal manuscript # 2018SW002067, "Model evaluation guidelines for geomagnetic index predictions" by M. W. Liemohn and coauthors. The three subdirectories have the files for the individual models, the data to which they are compared, and the IDL code used to create the figure plots and metrics calculations. and Date coverage is specific to each model. The RAMSCB model covers January 2005, the WINDMI model all of 2014, and the UPOS model 1.5 solar cycles, from 1 October 2001 through 29 July 2013.
Data include variables used to run accelerated failure time models examining the association between the nose/throat microbiome and 1) symptom duration, 2) shedding duration, and 3) time to infection. Certain individual participant data have been excluded due to identifiability concerns. Data also include the oligotype count table and taxonomic classifications.
Data include variables used to run mixed effects models examining the association between the nose/throat microbiome and influenza virus infection. Certain individual participant data have been excluded due to identifiability concerns. Data also include the oligotype count table and taxonomic classifications. and Curation Notes: Readme updated Nov. 29, 2018 with context for oligotype and taxonomy files, and citation to associated article.
The eastern coastal basins of Brazil are a series of small and isolated rivers that drain directly into the Atlantic Ocean. During the Pleistocene, sea-level retreat caused by glaciations exposed the continental shelf, resulting in enlarged paleodrainages that connected rivers that are isolated today. Using Geographic Information System (GIS), we infer the distribution of these paleodrainages, and their properties for the east Brazilian coast. Here, we publicly make available the shapefiles that demonstrate the paleodrainage structure along the Brazilian coast during the largest sea-level retreats in the Pleistocene, the riverine vectors during the same period and the coastal line for a drop of -125m in the sea.
Percent Weight Change Data:
The model was run continuously on a daily time step for seasonal intervals (Spring: March thru May; Summer: June thru August; Fall: September thru November) as well as contiguously from Spring to Fall to assess total growth over the likely growing season (March thru November). CSV files represent the simulated weight change (%) of Bighead and Silver Carp for the respective time periods associated with the file name. Initial fish mass for each seasonal interval and growing season was 4350 g for Silver Carp and 5480 g for Bighead Carp. Maximum and mean total weight change (%) was determined for three depth ranges (near surface depths [NS]: 0 – 10 m; deep chlorophyll layer depths [DCL]: 10 - 50 m; and whole water column [WC]). Coordinates are in decimal degrees.
File naming convention: speciesSeasonWtChange (e.g. bigheadFallWtChange = % weight change of Bighead Carp from September through November)
Monthly Habitat Quality Data:
Rdata files contain matrices of Bighead or Silver carp growth rate potential as represented as a mass-proportional growth rate (gram of carp/gram of carp/day [g/g/d]) for the 15th day of each month. Habitats with growth rate potential >= 0 g/g/d were deemed suitable.
Rows: Row numbers refer to the spatial node with 20 equally-spaced vertical layers.
Columns: Columns 1-20 refer to the growth rate potential value for each vertical layer of each node. Vertical layers are evenly spaced based on the total depth of the water column for each node. Depth for each node can be found in the grid attributes data file. Columns 21 ("meanG") and 22 ("Gmax") represent the average and maximum growth rate potential, respectively, of the fish across the whole water column for the corresponding node.
File naming convention: species_MonthNumber (e.g. silver_06 = Silver carp growth rate potential in June)
Spatial coordinates for each node can be found in the grid attributes data files.,
Grid attributes data:
This Rdata file provides the spatial reference data and other grid attributes. Coordinates are provided in UTM (x & y) and latitude and longitude (decimal degrees). Depth (meters) for each node is listed in this file.
, GRP Model code:
Details bioenergetics equations, foraging equation, functions for running the model on a monthly time-step and daily time step, and functions for basic analyses. Model is coded in R., and
The simulated input data (prey and temperature) used to run our model is not included in this data set. Instead we provide the model code, grid attributes, and outputs of the model.
The readRDS() function (R Base Package v.3.5.1) is required to read in .Rdata files in R.
This work contains the experimental data and associated analysis that are described in the research publication entitled "Ultra-specific and Amplification-free Quantification of Mutant DNA by Single-molecule Kinetic Fingerprinting". This work contains multiple zip files, each of which represents one of the principal experiment groups presented in the publication. Each experiment group contains movie and analysis files corresponding to various experimental conditions related to that experiment group.
This dataset contains all data used to generate the figures in The Cryosphere manuscript “Measuring Snow Specific Surface Area with 1.30 and 1.55 micro-meter Bidirectional Reflectance Factors,” by Adam Schneider, Mark Flanner, and Roger De Roo. These data support the theory, calibration, and application of the Near-Infrared Emitting and Reflectance Monitoring Dome (NERD), an instrument engineered to rapidly retrieve surface snow specific surface area in the field. Note that this deposit includes a microCT scan database for natural snowfall samples collected in New Hampshire during 2015-2017, comprised of raw tiff files as well as reconstructions, binarized reconstructions, and some 3D model reconstructions. and Running python scripts generally require that the following packages are installed: NumPy, SciPy, Matplotlib, Pandas, and ipdb (for debugging).
The data were collected as part of the Stewardship Gap project, an 18-month study to investigate how research data and creative outputs supported by public or non-profit funding in the United States are being stewarded. These data were collected as part of a literature search of sources about research data stewardship and relate most directly to work describing “What We Know About the Stewardship Gap.” In this work, we categorized “gaps” in stewardship identified in the literature, how the gaps were related to one another, and efforts to measure and develop metrics for the gaps.
Investigating minimum human reaction times is often confounded by the motivation, training, and state of arousal of the subjects. We used the reaction times of athletes competing in the shorter sprint events in the Athletics competitions in recent Olympics (2004-2016) to determine minimum human reaction times because there's little question as to their motivation, training, or state of arousal.
The reaction times of sprinters however are only available on the IAAF web page for each individual heat, in each event, at each Olympic. Therefore we compiled all these data into two separate excel sheets which can be used for further analyses.
Raw SNP genotypes are provided in STRUCTURE format, with a maximum of one SNP reported per ddRAD locus. The files "caryco_SNP.str" and "caryov_SNP.str" are genotypes for Carya cordiformis and Carya ovata, respectively. The first column of each file is the individual name, the second column is the population (see original publication for information on population locations), and the remaining columns are genotypes of individual SNPs. Rows represent individuals, with the diploid genotypes contained on two lines per individual. Missing data are entered as "0" (zero). The first row is a header with a unique identifier for each SNP. and Occurrence records for each species are provided in the file "occs_carya.csv" and contain the latitude and longitude of each record.
These data collection and analysis protocols and the attribute list are part of a larger research project, the Institute of Museum and Library Services # LG-06-14-0122-14. funded "Qualitative Data Reuse: Records of Practice in Educational Research and Teacher Development." As such, our research questions concern data reuse and data curation:
1. Data Reuse: What are the dynamics of the data reuse lifecycle (from selection of data through the reuse of data) in a qualitative digital educational archive?
2. Data curation: What special issues are involved in curating digital qualitative data for reuse?
• How can qualitative data archives best support data reusers throughout the data reuse lifecycle?
• What aspects of this experience are informative for other types of qualitative data archives?
The overall project employed mixed methods and collected interview, observational, and trace data from data reusers of video records of practice in education and repositories holding video records of practice. The interview protocol and interview codeset relate to the 44 interviews conducted with researchers and teacher-educators who have reused digital video records of practice as qualitative data for research and/or teaching.
Videos made in the course of linguistic fieldwork. Includes blacksmithing, hide tanning, weaving, cotton spinning, weaving, reed flute making, pottery making, and construction in Dogon villages, and exotic traditional hair styling in Hombori (Songhay). Some of the videos are "compilations" of many short clips, others are in standard documentary form.
Videos done in the course of linguistic fieldwork in Central Mali. They are presented here in two or three video formats. The videos show how Dogon villagers press oil from nuts and fruit pits, make liquid soda ash (French potasse), and make soap. Some are in standard documentary form, some early ones ("compendiums") are sequences of brief clips. Most were made in Beni village or in the Douentza area.
These videos were produced in the course of linguistic fieldwork in central Mali. They are presented here in multiple video formats. The cattle herders par excellence in the zone are traditional Fulbe, who enter towns and Dogon villages to sell fresh and curdled milk along with butter.
Videos produced in the course of linguistic fieldwork. Most are presented here in three different video formats. "Gardening Diondiori" illustrates dry-season farming mostly of cash crops using ground water (springs, drying ponds and rivers, underground water sources). The other videos in this block are of ordinary rainwater agriculture done in the rainy season, featuring Dogon people and, in the case of "Rice harvest and threshing," Bangande (speakers of Bangime), who have the same agricultural methods. The principal rainy season crop in the zone is millet (Cenchrus spicatus), but most of the documentaries here are about secondary crops (cowpea, fonio, groundnut, peanut, groundnut, roselle, rice, sesame, sweet potato). "Driving off grain-eating birds" is based on an unsteady cellphone video brought to us, except for the final segments which we shot.
These are documentaries made in the course of linguistic fieldwork in central Mali. Most are presented here in three different video formats. All of those in the present group are of Dogon people. Beni village near Douentza figures in many of them. "Cooked spiced millet with roselle leaves" and "steamed cowpeas with millet" are from Walo village. "Cream of millet with tamarind" is from Bendiely village. "Beer brewing" is from Yanda village. "Groundnuts roasted and boiled" is from near Sévaré. "Macari" is from Kowo village near Sévaré. See also the separate works "Central Mali agriculture documentaries" and "Central Mali herding and dairy documentaries".