cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7302/6emc-9f49
title: Canadian Cordillera Fault Gouge XRD and isotopes

description: High-resolution, low-angle XRD analysis of oriented clay samples (.txt files);TC/EA, Mass Spectronometric analysis of oxygen and hydrogen isotopes (.xslx files)
description: Fault rock separates were analyzed for polytype mineraology using X-ray diffraction and ploytype modelling (relative to lab standards) in Excel. Isotopic measurements were completed on sample separates.
DOI: 10.7302/z20v8b11
title: Downloaded IAAF Sprint Results in all Heats for 2004 - 2016 Olympics for both Men and Women

description: 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.
description: All the data here are publicly available on the results page of the International Association of Athletics Federation web page (https://www.iaaf.org/results) in separate pages for each Heat for each event. Here we copy and pasted all of them into two separate excel sheets better suitable for analyses.

1- The results of 100 m, 100 m Hurdles, and 110 m Hurdles sprints were copied for 2004 - 2016 Olympics for all the Heats for both Men and Women.

2- The results of all the sprints shorter the 800 m were copied for 2008 - 2016 Olympics for all the Heats for both Men and Women.
DOI: 10.7302/z2bv7dsf
title: Designing Future Employment Applications for Underserved Jobseekers: A Speed Dating Study

description: Today’s Information and Communication Technologies (ICTs) support job searches, resume creation and the ability to highlight employment skills on social media. However, these technological tools are often tailored to high-income, highly educated users, and white-collar professionals. It is unclear what interventions address the needs of job seekers who have limited resources, education, or who may be underserved in other ways. We gathered insights from past literature and generated ten tangible design concepts to address the needs of underserved job seekers. We then conducted a needs validation and speed dating study to understand which concepts were most viable among our population. We found that the three most preferred concepts immediately addressed job seekers’ most practical needs. ;Per reviewer feedback, we aim to improve the utility of this publication to other scholars by including our research materials here. This dataset includes the interview script, storyboards that were used in the needs validation study,  the demographics survey/questionnaire, and the consent form.
description: We gathered insights from past literature and generated ten tangible design concepts to address the needs of underserved job seekers. We then conducted a needs validation and speed dating study to understand which concepts were most viable among our population. Audio was recorded and professionally transcribed.
DOI: 10.7302/j00f-en55
title: Statistics and Visualization of Point-Patterns

description: Many data sets come as point patterns of the form (longitude, latitude, time, magnitude). The examples of data sets in this format includes tornado events, origins/destination of internet flows, earthquakes, terrorist attacks and etc. It is difficult to visualize the data with simple plotting. This research project studies and implements non-parametric kernel smoothing in Python as a way of visualizing the intensity of point patterns in space and time. A two-dimensional grid M with size mx, my is used to store the calculation result for the kernel smoothing of each grid points. The heat-map in Python then uses the grid to plot the resulting images on a map where the resolution is determined by mx and my. The resulting images also depend on a spatial and a temporal smoothing parameters, which control the resolution (smoothness) of the figure. The Python code is applied to visualize over 56,000 tornado landings in the continental U.S. from the period 1950 - 2014. The magnitudes of the tornado are based on Fujita scale.
description: The data was collected on the website Tornado History Project. The data is loaded into the program and visualized using Python heatmap.
DOI: 10.7302/fjst-6n49
title: Data pertaining to Article:  Air Quality Impacts at an E-Waste Site in Ghana  using Flexible, Low-Cost and Quality Assured Measurements

description: We evaluated PM levels at the Agbogbloshie e-waste and scrap yard site in Accra, Ghana, and at upwind and downwind locations.  This monitoring forms part of the West Africa-Michigan Charter II for GEOHealth cohort study, which is analyzing occupational exposures and health risks at this site. 
description: PM2.5 and PM10 levels were measured as 24-data using both optical and gravimetric measurements.  Data was cleaned by ensuring parameters were within specified limits.  Only data passing these checks are included.
DOI: 10.7302/67rx-mq49
title: Supplemental Data for "Lactational Metformin Exposure Programs Offspring White Adipose Tissue, Intestinal Microbiome, and Glucose Homeostasis"

description: Data repository for supplemental data for manuscript. Article and data set are currently under review by publisher.  Email for more information.
description: Methodology is forthcoming. Article and data set are currently under review by publisher.  Email for more information.
DOI: 10.7302/aqa1-5t49
title: Indirect effects of secondary organic aerosol on cirrus clouds

description: The dataset contains the Fortran programs applied in the latest CESM/IMPACT model as well as the data created from this model, which are used in the referenced paper.
description: The CESM/IMPACT model is used to create these data.
DOI: 10.7302/b07j-bj08
title: Data for Solar Flare Intensity Prediction with Machine Learning Models

description: GOES_flare_list: contains a list of more than 12,013 flare events. The list has 6 columns, flare classification, active region number, date, start time end time, emission peak time.

SHARP_data.hdf5 files contain time series of 20 physical variables derived from the SDO/HMI SHARP data files. These data are saved at a 12 minute cadence and are used to train the LSTM model.
description: We develop a mixed Long Short Term Memory (LSTM) regression model to predict the maximum solar flare intensity within a 24-hour time window 0~24, 6~30, 12~36  and 24~48 hours ahead of time using 6, 12, 24 and 48 hours of data (predictors) for each Helioseismic and Magnetic Imager (HMI) Active Region Patch (HARP). The model makes use of (1) the Space-weather HMI Active Region Patch (SHARP) parameters as predictors and (2) the exact flare intensities instead of class labels recorded in the Geostationary Operational Environmental Satellites (GOES) data set, which serves as the source of the response variables.

The data deposited here are the input for our machine learning efforts for predicting solar flare events. The input data are produced by our pre-processing pipeline, which is built to extract from two sources -- the Geostationary Operational Environmental Satellites (GOES) and Solar Dynamics Observatory (SDO)/Helioseismic and Magnetic Imager (HMI) . The GOES files provide a list of flare events in excel csv format.  The SHARP files provide time sequences of more than 20 physical parameters derived from SDO/HMI data, which are saved in hdf5 format.

The input data Space-Weather HMI Active Region Patch (SHARP) parameters are available online from the Stanford Joint Science Operations Center (JSOC) at  http://jsoc.stanford.edu/ and the GOES data are available from NOAA Space Weather Prediction Center (SWPC) at https://www.swpc.noaa.gov.
DOI: 10.7302/z2h41ppf
title: Student Writing Eportfolio: "Amanda's" Gateway

description: 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.
description: This link will download a zipped folder of files created with SiteSucker, “a Macintosh application that automatically downloads websites from the Internet. It does this by asynchronously copying the site's webpages, images, PDFs, style sheets, and other files to your local hard drive, duplicating the site's directory structure” (SiteSucker Manual: https://ricks-apps.com/osx/sitesucker/archive/2.x/2.6.x/2.6/manuals/en/pgs/Overview.html]). To open the eportfolio website compressed in this zipped folder, you will need to double-click on the subfolder titledfirstnamelastname.wordpress.com (e.g., kaylacockrum.wordpress.com), and then double-click on the file titled index.html. Opening this file will launch a browser window showing the eportfolio home page, and from there you will be able to navigate the eportfolio website offline. Because this site is offline, external links to online urls will not function. (Please note that SiteSucker is not compatible with the Chrome browser, and should be opened using Firefox or Safari browsers.)
DOI: 10.7302/z2n014g0
title: Abbott Piette Bolivia 2014 Dataset

description: Contained within is a subset of the larger dataset collected in La Paz, Bolivia in 2014.  This data contains the analytic dataset (cross-sectional/descriptive) that includs the PACIC, Morisky, PHQ8, AUDIT, and a subset of socidemographic characteristics for NCD patients in La Paz.
description: Survey
DOI: 10.7302/day1-6d63
title: Dataset for 'Multi‑Step Crystallization of Self‑Organized Spiral Eutectics'

description: The data file contains (1) the grayscale images of the nano-tomography experiments that can be segmented into binary images and visualized to show the 3D morphology of spiral eutectics; and (2) crystallographic orientation maps of serial-sectioned sample, which can be processed in a variety of EBSD software packages.
description: The data files were collected by lab-scale X-ray nano-tomography and 3D electron backscatter diffraction.
DOI: 10.7302/6dp2-3767
title: Scanning X-ray fluorescence (XRF) for SPR0901-03KC

description: This dataset includes scanning X-ray fluorescence (XRF) data for the core SPR0901-03KC (34.2832°N, 120.0401°W, 586 m water depth). SPR0901-03KC was collected by the research vessel R/V Sproul off Southern California in 2009.1. The research is funded by NSF OCE-0752093.
description: SPR0901-03KC contains two cores (core 1 and core 2), with each core cut into two sections. Three core sections were scanned and the 'core 1, sec 1' is used to recover the age gap between the two sections for core 2. The cores were scanned at 200-µm resolution on an ITRAX X-ray fluorescence (XRF) core scanner (Cox Analytical Instruments) at the Large Lakes Observatory, University of Minnesota, Duluth in 2010. The scanner is equipped with a Cr X-ray tube, and operated with an 8-second scan time at 30 kV and 15 mA.
DOI: 10.7302/gqk6-3x41
title: Walking Like a Worm : dataset and figures

description: This repository contains both the data and python3 code that reads this data and reproduces the relevant figures. The code depends on NumPy >1.17 and matplotlib >3.1 and was tested on python 3.8

description: The data here is from multiple sources. It is consolidated in this one location to facilitate easy reproduction of the figures in the authors' manuscript titled "Walking like a worm : Stokesian kinematics govern legged locomotion". Each constituent data-set is separately available.
Ant data was prepared for doi:10.1098/rsos.192068 
BigANT robot data was prepared for  doi:10.1088/1748-3190/ab84c0 and is available at doi:10.7302/024q-kk06 and doi:10.7302/jh82-fh69
DOI: 10.7302/513f-1h23
title: Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning

description: This data set includes four zipped files each containing unprocessed cell images from a single cell line collected as raw data, the scripts used to process these images and tabular files with the processed data outputs. This data set supports the PLOS ONE publication, "Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning."
description: Raw images of 4 cell lines, HR-14, PC3, MDA-MB-231, and MCF-7 were imaged in a microwell array via fluorescence microscopy. Image files show single cells in microwells. Subfolders indicating area indicate only different positions of the microwell array that were imaged. A computer controlled microscope ensured areas were not imaged twice. All areas were imaged once/minute for around 60 minutes.
description: Using the python file provided here, getPos6.2.py, and ImageJ, these array images can be cropped into individual cells. These individual cropped cell images can then be used with CellProfiler to characterize and process each image before machine learning classification. The file, 'remys pipeline.cp' is the CellProfiler pipeline we used to process our images. CellProfiler version 11710 was used for this analysis.
description: The output of the CellProfiler pipeline is the data used for Principal Component Analysis and machine-learning based classification. These results are contained in the '.csv' files, with the name if the file corresponding to a single cell line. This raw data can be used with the python analysis files, which will perform PCA, supervised classification (Adaboost), and unsupervised classification (k-means).
description: Please see our publication in PLOS ONE, titled "Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning" for a full explanation of the methodology.
DOI: 10.7302/7tw1-kc35
title: UofM Pouch Cell Voltage and Expansion Cyclic Aging Dataset

description: The focus of this research effort is to systematically study the capability of aging diagnostics using cell expansion under variety of aging conditions and states. The data collection campaign is very important to cover various degradation modes to extract the degradation features that will be used to inform, parameterize, and validate the models developed earlier. In the data collection campaign, we are documenting the evolution of the electrical and mechanical characteristics and especially the reversible mechanical measurement. It is important to note that we collect data using newly developed fixtures that enables the simultaneous measurement of mechanical and electrical response under pseudo-constant pressure.
description: The expansion was measured using a displacement sensor (Keyence, Japan) mounted on the top plate. The dynamic testing was done using a battery cycler (Biologic, France). The temperature was measured using a K-type thermocouple (Omega, USA) placed on the surface of the battery. Voltage, current, and temperature data were recorded using the BT-Lab software. The expansion data was recorded using a LabView program.
DOI: 10.7302/ntwz-s054
title: Carbamazepine and GABA have distinct effects on seizure onset dynamics in mouse brain slices

description: This data and scripts are meant to test and show that seizure onset dynamics can be modulated using anti-epileptic drugs. A zip file is included that contains all waveform data, MATLAB processing scripts, and metadata. The MATLAB scripts allow for visual review validation and objective feature analysis. The file includes various README files explaining the scripts and their relationships in greater detail.
description: Epileptiform activity was generated from mouse brain slices using a low Mg 2+ /high K + (LMHK) seizure model. Three experimental conditions were applied: LMHK (control), LMHK+GABA, and LMHK + Carbamazepine. Three reviewers independently labeled all onset dynamics of the epileptiform activity. The onset dynamics were compared to experimental conditions. Other statistical tests were performed to validate inter-rater variability and drug efficacy.
DOI: 10.7302/jrdr-bj37
title: 2D Benchmark Reacting Flow Dataset for Reduced Order Modeling Exploration

description: A 2D planar representation of a generic laboratory-scale combustor is established to assess the capabilities of ROMs for representing realistic combustion flowfields. The purpose of this dataset is to provide a testbed to build reduced model for relevant challenging reacting flow problems using different methods. The dataset was generated under the Air Force Center of Excellence on Multi-Fidelity Modeling of Rocket Combustion Dynamics and the goal of the center is to advance the state-of-the-art in Reduced Order Models (ROMs) and enable efficient prediction of instabilities in liquid fueled rocket combustion systems.;Instrument and/or Software specifications: - recommendation: Matlab and Tecplot;1. Data_150000to159999.tar: the unsteady flow field data from time step 150000 to 159999 (time increment, dt, between each time step is 1E-7 sec). - Data_160000to169999.tar: the unsteady flow field data from time step 160000 to 169999 (time increment, dt, between each time step is 1E-7 sec).

2. Data_170000to179999.tar: the unsteady flow field data from time step 170000 to 179999 (time increment, dt, between each time step is 1E-7 sec).

3. grid.dat: the topology of the CFD mesh used to generate this data (can be directly loaded in Tecplot).

4. the file "sample_code.zip" contains the sample Matlab scripts to load and output the .dat files to help the researchers to get started. To run the script, the software Matlab is required and the researchers can simply run sampleIO.m script in Matlab to test the code. 
;Detailed documentation of how the data is generated can be found in:  https://afcoe.engin.umich.edu/benchmark-data
description: The data are model output from an in-house CFD solver, General Equation and Mesh Solver (GEMS). Please refer to Ref 3 in related publications for detailed information on the solver.
DOI: 10.7302/xe96-3z26
title: Tsunami simulation results for the Cascadia project (Salaree et al)

description: Study of the effect of various rupture scenarios in Cascadia on tsunami hazard
description: Tsunami simulation algorithm called MOST (Method of Splitting Tsunami) is applied to interpolated GEBCO bathymetry (General Bathymetric Chart of the Oceans
description: https://www.gebco.net). Tsunami wave heights are calculated from sources included in this dataset in the form of fields of rupture slip and depth. Rupture scenarios are built using the Gamma locking model from Schmalzle et al (2014) [Schmalzle, G.M., McCaffrey, R. and Creager, K.C., 2014. Central Cascadia subduction zone creep. Geochemistry, Geophysics, Geosystems, 15(4), pp.1515-1532.]
DOI: 10.7302/z2gq6vpz
title: The Arrival Fallacy: Collaborative Research Relationships in the Digital Humanities

description: As discussion and debates on the digital humanities continue among scholars, so too does discussion about how academic libraries can and should support this scholarship. Through interviews with digital humanities scholars and academic librarians within the Center for Institutional Cooperation, this study aims to explore some points of common perspective and underlying tensions in research relationships. Qualitative interviews revealed that, while both groups are enthusiastic about the future of faculty-librarian collaboration on digital scholarship, there remain certain tensions about the role of the library and the librarian. Scholars appreciate the specialized expertise of librarians, especially in metadata and special collections, but they can take a more active stance in utilizing current library resources or vocalizing their needs for other resources. This expertise and these services can be leveraged to make the library an active and equal partner in research. Additionally, libraries should address internal issues, such as training and re-skilling librarians as necessary; better-coordinated outreach to academic departments is also needed.
description: These date were collected via qualitative interviews, over the phone and Skype. The data in the document were transcribed from recordings, though not everything in the interviews was transcribed.
DOI: 10.7302/00cs-x605
title: Mitochondrial nutrient utilization underlying the association between metabolites and insulin resistance in adolescents.

description: Participants were enrolled in the Early Life Exposure in Mexico to ENvironmental Toxicants (ELEMENT) project which was started in 1994 and consists of three sequentially-enrolled birth cohorts from Mexico City Maternity Hospitals (20). A subset of these children, age 8-14 years, were contacted through their primary caregiver to provide urine samples, serum samples, anthropometry and complete an interview-based questionnaire (n=250). Subjects for this analysis have baseline and follow data on anthropometry, metabolic biomarkers and adequate serum volume for metabolomics analyses (n=206).
description: Fasting serum samples were analyzed using an untargeted metabolomics platform on an Agilent 1200 HPLC/6530 quadrupole Time-of-Flight mass spectrometry (MS) system (Agilent Technologies, Inc., Santa Clara, CA USA) using the Waters Acquity HSS T3 1.8 μm column (Waters Corporation, Milford, MA). Sex-stratified linear regression identified metabolites associated BMIz and homeostatic model assessment of IR using C-peptide (HOMA-CP), accounting for puberty, age and muscle and fat area. Path analysis identified clusters of metabolites that underlie the relationship between energy-adjusted macronutrient intake with BMIz and HOMA-CP.
DOI: 10.7302/rqy3-ad60
title: Central Mali food and drink preparation documentaries

description: 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". 
description: shooting video footage and editing into short documentaries
DOI: 10.7302/yec5-xy94
title: Toro So-speaking (Dogon, Mali) village photos

description: Images of villages in Mali in which Toro So (Dogon family) is the primary language. Each file name contains important information about the photos, and are structured thus: LanguageFamily_Language_IdentificationNumber_GeographicCoordinate_Description_Date_InitialsOfThePhotographer
description: Photography