Search Constraints

Start Over
Filtering by: Type of Work Dataset Remove constraint Type of Work: Dataset Publisher University of Cincinnati Remove constraint Publisher: University of Cincinnati

Search Results

  • Clot On a Suture Dataset: Porcine, Plasma Only

    Type:
    Dataset
    Description/Abstract:
    A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
    Creator/Author:
    Huang, Shenwen; Holland, Christy, and Shekhar, Himanshu
    Submitter:
    Shenwen Huang
    Date Uploaded:
    12/22/2016
    Date Modified:
    05/08/2017
    License:
    Public Domain Mark 1.0

  • Clot On a Suture Dataset: Porcine, rt-PA (3.15 ug/ml)

    Type:
    Dataset
    Description/Abstract:
    A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
    Creator/Author:
    Huang, Shenwen; Holland, Christy, and Shekhar, Himanshu
    Submitter:
    Shenwen Huang
    Date Uploaded:
    12/22/2016
    Date Modified:
    05/08/2017
    License:
    Public Domain Mark 1.0

  • Clot On a Suture Dataset: Porcine, rt-PA (3.15 ug/ml), Definity, & US

    Type:
    Dataset
    Description/Abstract:
    A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
    Creator/Author:
    Huang, Shenwen; Holland, Christy, and Shekhar, Himanshu
    Submitter:
    Shenwen Huang
    Date Uploaded:
    12/22/2016
    Date Modified:
    05/08/2017
    License:
    Public Domain Mark 1.0

  • Clot On a Suture Dataset: Human clots in porcine plasma, rt-PA (3.15 ug/ml), Definity, & US

    Type:
    Dataset
    Description/Abstract:
    A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
    Creator/Author:
    Huang, Shenwen; Holland, Christy, and Shekhar, Himanshu
    Submitter:
    Shenwen Huang
    Date Uploaded:
    12/22/2016
    Date Modified:
    05/08/2017
    License:
    Public Domain Mark 1.0

  • Clot On a Suture Dataset: Human clots in porcine plasma, rt-PA (3.15 ug/ml)

    Type:
    Dataset
    Description/Abstract:
    A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
    Creator/Author:
    Huang, Shenwen; Holland, Christy, and Shekhar, Himanshu
    Submitter:
    Shenwen Huang
    Date Uploaded:
    01/05/2017
    Date Modified:
    05/08/2017
    License:
    Public Domain Mark 1.0

  • Clot On a Suture Dataset: Human clots in porcine plasma, Plasma Only

    Type:
    Dataset
    Description/Abstract:
    A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
    Creator/Author:
    Huang, Shenwen; Holland, Christy, and Shekhar, Himanshu
    Submitter:
    Shenwen Huang
    Date Uploaded:
    01/05/2017
    Date Modified:
    05/08/2017
    License:
    Public Domain Mark 1.0

  • Clot On a Suture Dataset: Porcine clots in human plasma, Plasma Only

    Type:
    Dataset
    Description/Abstract:
    A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
    Creator/Author:
    Huang, Shenwen; Holland, Christy, and Shekhar, Himanshu
    Submitter:
    Shenwen Huang
    Date Uploaded:
    01/05/2017
    Date Modified:
    05/08/2017
    License:
    Public Domain Mark 1.0

  • Clot On a Suture Dataset: Porcine clots in human plasma, rt-PA (3.15 ug/ml)

    Type:
    Dataset
    Description/Abstract:
    A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
    Creator/Author:
    Huang, Shenwen; Holland, Christy, and Shekhar, Himanshu
    Submitter:
    Shenwen Huang
    Date Uploaded:
    01/05/2017
    Date Modified:
    05/08/2017
    License:
    Public Domain Mark 1.0

  • Porcine and Human Clot SEM Images

    Type:
    Dataset
    Description/Abstract:
    Scanning electron microscopy (SEM) images of the surfaces of porcine and human clots, at 800x, 3500x, and 7000x magnification.
    Creator/Author:
    Huang, Shenwen; Holland, Christy, and Shekhar, Himanshu
    Submitter:
    Shenwen Huang
    Date Uploaded:
    04/11/2017
    Date Modified:
    05/08/2017
    License:
    Public Domain Mark 1.0

  • Clot On a Suture Dataset: Porcine clots in human plasma, rt-PA (3.15 ug/ml), Definity, & US

    Type:
    Dataset
    Description/Abstract:
    A raw dataset produced using the clot on a suture experimental set up in the Holland lab (previously published in Bader 2015 & other articles). Data gathered and further analyzed using MATLAB 2012b.
    Creator/Author:
    Huang, Shenwen; Holland, Christy, and Shekhar, Himanshu
    Submitter:
    Shenwen Huang
    Date Uploaded:
    05/05/2017
    Date Modified:
    05/08/2017
    License:
    Public Domain Mark 1.0

  • Figure 3 IDCC 2018 Digital object identifiers for data sets in four institutional repositories

    Type:
    Dataset
    Description/Abstract:
    This data set measures whether data sets in four institutional repositories have digital object identifiers or not. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories"  https://scholar.uc.edu/show/pn89d657h
    Creator/Author:
    Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    01/12/2018
    Date Modified:
    05/15/2018
    Date Created:
    2017-09
    License:
    Open Data Commons Attribution License (ODC-By)

  • Figure 1 IDCC 2018 Significance analysis metadata study four institutional repositories

    Type:
    Dataset
    Description/Abstract:
    This data set describes the Mann-Whitney U test statistical analysis of the completeness profile for data sets in four institutional repositories. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories"  https://scholar.uc.edu/show/pn89d657h
    Creator/Author:
    Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    01/12/2018
    Date Modified:
    05/15/2018
    Date Created:
    2017-09
    License:
    Open Data Commons Attribution License (ODC-By)

  • Figure 4 IDCC2018 Keywords data sets four institutional repositories

    Type:
    Dataset
    Description/Abstract:
    This data set measures the number of keywords associated with data sets in four institutional repositories. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories"  https://scholar.uc.edu/show/pn89d657h
    Creator/Author:
    Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    01/12/2018
    Date Modified:
    05/15/2018
    Date Created:
    2017-09
    License:
    Open Data Commons Attribution License (ODC-By)

  • Figure 2 IDCC2018 Documentation for data sets in four institutional repositories

    Type:
    Dataset
    Description/Abstract:
    This data set describes the type and number of documentation that accompany and describe data sets in four institutional repositories. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories"  https://scholar.uc.edu/show/pn89d657h
    Creator/Author:
    Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    01/12/2018
    Date Modified:
    05/15/2018
    Date Created:
    2017-09
    License:
    Open Data Commons Attribution License (ODC-By)

  • Master Data set - Metadata of data sets from four institutional repositories

    Type:
    Dataset
    Description/Abstract:
    This data set is the raw data underlying the paper entitled "Giving datasets context: a comparison study of institutional repositories that apply varying degrees of curation" presented at the International Digital Curation Conference in Barcelona, Spain (Feb 2018). All figures and tables in the publication were based on the analysis of this data set. Please use the Citation: Koshoffer, A., Neeser, A., Johnston L.R., and Newman L.D., (2018) "Giving datasets context: a comparison study of institutional repositories that apply varying degrees of curation", International Digital Curation Conference, Barcelona, Spain. Digital Curation Centre.
    Creator/Author:
    Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    01/11/2018
    Date Modified:
    10/27/2018
    Date Created:
    2016-06 to 2017-10
    License:
    Open Data Commons Attribution License (ODC-By)

  • Figure 1 IDCC 2018 Percent Completeness of Data Set Metadata

    Type:
    Dataset
    Description/Abstract:
    This data set describes the percent completeness of metadata options for data sets in four institutional repositories. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories"  https://scholar.uc.edu/show/pn89d657h Please use the Citation: Koshoffer, A., Neeser, A., Johnston L.R., and Newman L.D., (2018) "Giving datasets context: a comparison study of institutional repositories that apply varying degrees of curation", International Digital Curation Conference, Barcelona, Spain. Digital Curation Centre.
    Creator/Author:
    Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    01/12/2018
    Date Modified:
    10/27/2018
    Date Created:
    2017-09
    License:
    Open Data Commons Attribution License (ODC-By)

  • Image-guided, uncontrolled ultrasound ablation of rabbit liver and VX2 tumor

    Type:
    Dataset
    Description/Abstract:
    This data set contains ultrasound echo data with corresponding co-registered scanned, TTC-stained tissue sections, as described in the MS thesis included (Fosnight 2015).
    Creator/Author:
    Mast, Douglas
    Submitter:
    T. Douglas Mast
    Date Uploaded:
    04/27/2016
    Date Modified:
    05/22/2019
    License:
    Attribution 4.0 International

  • Image-guided, controlled ultrasound ablation of rabbit liver and VX2 tumor

    Type:
    Dataset
    Description/Abstract:
    This data set contains ultrasound IQ echo data with corresponding co-registered scanned, TTC-stained tissue sections of rabbit liver with VX2 tumor, after in-vivo ultrasound ablation controlled by echo decorrelation imaging. IQ data and associated parameters are in files *data.mat; corresponding tissue sections are in files *.png, and trials parameters are provided in Parameters*.mat and *.csv files. Further details are provided in the included dissertation (Abbass 2018): see chapter 4, figures 4.4-4.8, and the Appendix.
    Creator/Author:
    Mast, T. Douglas
    Submitter:
    T. Douglas Mast
    Date Uploaded:
    05/22/2019
    Date Modified:
    05/31/2019
    License:
    Attribution 4.0 International

  • Subject Systems Dataset

    Type:
    Dataset
    Description/Abstract:
    Anti-Lock Braking Systems Obstacles. RPM obstacles.
    Creator/Author:
    Alenazi, Mounifah; Niu, Nan; Wang, Wentao, and Savolainen Juha
    Submitter:
    Mounifah Alenazi
    Date Uploaded:
    05/31/2018
    Date Modified:
    05/23/2019
    Date Created:
    2018-06
    License:
    All rights reserved

  • Origins of Coins Found at Antioch

    Type:
    Dataset
    Description/Abstract:
    This dataset shows the origins and quantities of coins found through excavations at Antioch. Data can be examined by material (bronze, silver, antoniniani, and uncertain) and chronology (223 BCE to 91 BCE, 90 BCE to 31 BCE, 30 BCE to 235 CE, 236 CE to 283 CE, 284 CE to 423 CE). All data is from Waage, D. B. 1952. Antioch-on-the-Orontes: Committee for the Excavation of Antioch and its Vicinity 4.2: Greek, Roman, Byzantine and Crusader’s Coins, Princeton.
    Creator/Author:
    Neumann, Kristina
    Submitter:
    Kristina Neumann
    Date Uploaded:
    04/05/2015
    Date Modified:
    12/11/2015
    License:
    All rights reserved

  • Cleistogamy Review Dataset - Species Level

    Type:
    Dataset
    Description/Abstract:
    This is the raw data detailing the type of cleistogamy reported within 628 individual species in the scientific literature, as of October 2005. This data underlies the following study: Culley, Theresa M and Matthew R Klooster (2007) The cleistogamous breeding system: A review of its frequency, evolution, and ecology in angiosperms. The Botanical Review 73(1): 1-30.
    Creator/Author:
    Culley, Theresa and Klooster, Matthew
    Submitter:
    Theresa Culley
    Date Uploaded:
    08/26/2016
    Date Modified:
    08/26/2016
    Date Created:
    2005-10-02
    License:
    Attribution 4.0 International

  • Cleistogamy Review Database - Family/Genus Level

    Type:
    Dataset
    Description/Abstract:
    This is the raw data detailing the type of cleistogamy reported within 228 plant genera in 50 families in the scientific literature, as of October 2005. This data underlies the following study: Culley, Theresa M and Matthew R Klooster (2007) The cleistogamous breeding system: A review of its frequency, evolution, and ecology in angiosperms. The Botanical Review 73(1): 1-30.
    Creator/Author:
    Culley, Theresa and Klooster, Matthew
    Submitter:
    Theresa Culley
    Date Uploaded:
    08/26/2016
    Date Modified:
    08/26/2016
    License:
    Attribution 4.0 International

  • Increased Programmed Death-Ligand 1 is an Early Epithelial Cell Response to Helicobacter pylori Infection. Holokai et al., 2018

    Type:
    Dataset
    Description/Abstract:
    ABSTRACT Helicobacter pylori (H. pylori) is the major risk factor for the development of gastric cancer. Our laboratory has reported that the Sonic Hedgehog (Shh) signaling pathway is an early response to infection that is fundamental to the initiation of H. pylori-induced gastritis. H. pylori also induces programmed death ligand 1 (PD-L1) expression on gastric epithelial cells, yet the mechanism is unknown. We hypothesize that H. pylori-induced PD-L1 expression within the gastric epithelium is mediated by the Shh signaling pathway during infection. To identify the role of Shh signaling as a mediator of H. pylori-induced PD-L1 expression, human gastric organoids generated from either induced pluripotent stem cells (HGOs) or tissue (huFGOs) were microinjected with bacteria and treated with Hedgehog/Gli inhibitor GANT61. Gastric epithelial monolayers generated from the huFGOs were also infected with H. pylori and treated with GANT61 to study the role of Hedgehog signaling as a mediator of induced PD-1 expression. A patient-derived organoid/autologous immune cell co-culture system infected with H. pylori and treated with PD-1 inhibitor (PD-1Inh) was developed to study the protective mechanism of PD-L1 in response to bacterial infection. H. pylori significantly increased PD-L1 expression in organoid cultures 48 hours post-infection when compared to uninfected controls. The mechanism was cytotoxic associated gene A (CagA) dependent. This response was blocked by pretreatment with GANT61. Anti-PD-L1 treatment of H. pylori infected huFGOs, co-cultured with autologous patient cytotoxic T lymphocytes and dendritic cells, induced organoid death. H. pylori-induced PD-L1 expression is mediated by the Shh signaling pathway within the gastric epithelium. Cells infected with H. pylori that express PD-L1 may be protected from the immune response, creating premalignant lesions progressing to gastric cancer.
    Creator/Author:
    Zavros, Yana
    Submitter:
    Yana Zavros
    Date Uploaded:
    12/21/2018
    Date Modified:
    12/21/2018
    Date Created:
    License:
    All rights reserved

  • Population Extinction in Experimental Protozoan Population Networks

    Type:
    Dataset
    Description/Abstract:
    The data stored in this collection were collected during a series of 3 experiments I conducted between 2013 and 2014 to evaluate the effects of population-level extinction within spatial population networks. For each experiment, I used experimental protozoan population networks (microcosms) that used the common pond species Paramecium caudatum as the focal organism. Each network contained five populations aligned linearly and connected to one another through a migration corridor (see image files). The experiments were similar in their basic methods. For example, each experiment consisted of three 10-day periods: pre-extinction, extinction, and reestablishment. In addition, each experiment used 8 networks: four treatment networks and four control networks. During the 10-day extinction period, extinction was maintained on the center population of 4 treatment networks. During the reestablishment period, the center population was allowed to reestablish. The 4 control networks had no extinction imposed. During each experiment I estimated the density of each population within all networks daily as the mean number of paramecia captured in three 0.25 mL samples. The data included in these files shows these density estimates. All calculations used to assess changes in population abundance and dynamics due to extinction were derived from these density estimates. Additional background for each of the 3 experiments (e.g., how the experiments differed) can be found in the ReadMe file. Detailed methods and results from each of these experiments are documented in Chapters 3, 4, and 5 of my dissertation (see Dissertation file).
    Creator/Author:
    Lamkin, Megan
    Submitter:
    Megan Lamkin
    Date Uploaded:
    05/01/2015
    Date Modified:
    06/17/2016
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Durres Master GIS Set

    Type:
    Dataset
    Description/Abstract:
    This compressed file contains the GIS files used for the DRAP project in shape file format. There is a Documentation folder with a ReadMe file that contains information about opening the documents as well as notes on their creation and conversion. There is a file included that will allow opening all of the files in ArcMap (v 10.1 tested) and QGIS (v 2.4 tested) but the data files themselves can be opened in whatever GIS software one chooses that can read ESRI shape file format.
    Creator/Author:
    Wallrodt, John
    Submitter:
    John Wallrodt
    Date Uploaded:
    10/24/2014
    Date Modified:
    09/17/2015
    Date Created:
    2014-10-24
    License:
    Attribution 4.0 International

  • Additional Files for Norton et al BMC Genetics

    Type:
    Dataset
    Description/Abstract:
    Additional Figure 1, Additional Figure 2, Additional Table 1, and Additional Table 2 for Norton et al. paper published in BMC Genetics: MC1R diversity in Northern Island Melanesia has not been constrained by strong purifying selection and cannot explain pigmentation phenotype variation in the region
    Creator/Author:
    Norton, Heather
    Submitter:
    Heather Norton
    Date Uploaded:
    09/23/2015
    Date Modified:
    09/23/2015
    License:
    All rights reserved

  • Table 1 IDCC 2018 Institutional Repository Comparison

    Type:
    Dataset
    Description/Abstract:
    This table compares the major characteristics of the four sources repositories in in the metadata study
    Creator/Author:
    Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    07/03/2018
    Date Modified:
    07/03/2018
    Date Created:
    License:
    Open Data Commons Attribution License (ODC-By)

  • Commuting Data for Hamilton County, 2010

    Type:
    Dataset
    Description/Abstract:
    This data includes socio-economic-geographic attributes in Hamilton County by Census tracts of year 2010.
    Creator/Author:
    Kim, Changjoo
    Submitter:
    Changjoo Kim
    Date Uploaded:
    02/02/2015
    Date Modified:
    05/23/2019
    Date Created:
    2015-02-02
    License:
    CC0 1.0 Universal

  • Distribution of Antiochene Coin Finds

    Type:
    Dataset
    Description/Abstract:
    This dataset shows the quantities and findspots of coins minted by the ancient mint(s) at Antioch on the Orontes in northern Syria. The kml files are usable in Google Earth. Coin finds are sorted by material (bronze, silver, antoniniani), type (provincial SC, provincial silver and misc. bronze, civic coins with imperial portrait, civic coins without imperial portrait), and chronology (223 BCE-91 BCE, 90 BCE-31 BCE, 30 BCE-235 CE, 236 CE-283 CE, 284 CE-423 CE). For the original publication of this data, see the attached appendix.
    Creator/Author:
    Neumann, Kristina
    Submitter:
    Kristina Neumann
    Date Uploaded:
    04/03/2015
    Date Modified:
    12/11/2015
    License:
    All rights reserved

  • Trace and Rare Earth Element Chemistry of Fluorite from the Illinois-Kentucky Fluorspar District and its Implications for the Origins of Mineralizing Fluids

    Type:
    Dataset
    Description/Abstract:
    This data set includes the raw rare earth element data for all fluorite and calcite samples analyzed by Josh Bergbower for work on his thesis project titled "Trace and Rare Earth Element Chemistry of Fluorite from the Illinois-Kentucky Fluorspar District and its Implications for the Origins of Mineralizing Fluids".
    Creator/Author:
    Bergbower, Joshua and Dietsch, Craig
    Submitter:
    Joshua Bergbower
    Date Uploaded:
    05/25/2018
    Date Modified:
    05/25/2018
    Date Created:
    2018
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Location of Excavation Sites

    Type:
    Dataset
    Description/Abstract:
    This dataset shows the locations of all excavation sites consulted for the distribution study of Antiochene coins. Data is best read in Google Earth.
    Creator/Author:
    Neumann, Kristina
    Submitter:
    Kristina Neumann
    Date Uploaded:
    04/05/2015
    Date Modified:
    12/11/2015
    License:
    All rights reserved

  • Norris Thesis Dataset Archival

    Type:
    Dataset
    Description/Abstract:
    Raw data files for Norris thesis "The Mystery Interval: hydrologic changes and circulation pattern changes?" additional information about each data file in "read.me" file.
    Creator/Author:
    Norris, Nathaniel
    Submitter:
    Nathaniel Norris
    Date Uploaded:
    06/28/2019
    Date Modified:
    06/28/2019
    Date Created:
    2019
    License:
    All rights reserved

  • Air Monitoring for East Liverpool Water Treatment Plant - CARES Data Set 5

    Type:
    Dataset
    Description/Abstract:
    This data set and accompanying files represents air monitoring data collected by the Environmental Protection Agency from 2009-08-12 to 2012-01-28 at the East Liverpool Water Treatment Plant, in East Liverpool, Ohio (40.639501 , -80.523561). The variables of interest were the amount of manganese and lead in the air measured as PM10 particle size. The visualizations were created from monthly averages for the concentration of airborne manganese The data was collected using the TO-15 collection systems for air monitoring device. (reference -  https://www3.epa.gov/air/sat/pdfs/VocTechdocwithappendix1209.pdf) The files included are: The raw data - EastLiverpool_WaterTreatmentPlant_Raw.csv . Aggregated monthly averages of the raw data - EastLiverpool_WaterTreatmentPlant_Processed.csv. How the raw data are processed into monthly averages - Marietta_EastLiverpool_WaterTreatmentPlant_WorkingFile.xlsx. How the video is generated- EastLiverpool_WaterTreatmentPlant.ppt. Video - EastLiverpool_WaterTreatmentPlant- generated from EastLiverpool_WaterTreatmentPlant.ppt.
    Creator/Author:
    Yao, Zhiyuan; Hilbert, Tim, and Haynes, Erin
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/27/2018
    Date Modified:
    07/11/2019
    Date Created:
    2009-01 to 2018-04
    License:
    CC0 1.0 Universal

  • Air Monitoring for East Liverpool East Elementary School - CARES Data Set 4

    Type:
    Dataset
    Description/Abstract:
    This data set and accompanying files represents air monitoring data collected by the Environmental Protection Agency from 2009-08-12 to 2012-01-28 at the East Liverpool East Elementary School, in East Liverpool, Ohio (40.635093 , -80.545558). The variables of interest were the amount of manganese and lead in the air measured as PM10 particle size. The visualizations were created from monthly averages for the concentration of airborne manganese. The data was collected using the TO-15 collection systems for air monitoring device. (reference -  https://www3.epa.gov/air/sat/pdfs/VocTechdocwithappendix1209.pdf) The files included are: The raw data - EastLiverpoolEastElementarySchool_Raw.csv . Aggregated monthly averages of the raw data - EastLiverpoolEastElementarySchool_Processed.csv. How the raw data are processed into monthly averages - Marietta_EastLiverpoolEastElementarySchool_WorkingFile.xlsx. How the video is generated- EastLiverpoolEastElementarySchool.ppt. Video - EastLiverpoolEastElementarySchool- generated from EastLiverpoolEastElementarySchool.ppt.
    Creator/Author:
    Yao, Zhiyuan; Hilbert, Tim, and Haynes, Erin
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/27/2018
    Date Modified:
    07/11/2019
    Date Created:
    2009-08-12 to 2012-01-28
    License:
    CC0 1.0 Universal

  • Air Monitoring for Marietta Ohio Valley Educational Service Center - CARES Data Set 3

    Type:
    Dataset
    Description/Abstract:
    This data set and accompanying files represents air monitoring data collected by the Environmental Protection Agency from 2009-08-17 to 2012-02-25 at the Ohio Valley Educational Service Center in Marietta, Ohio (39.443477 , -81.452199). The variables of interest were the amount of manganese and lead in the air measured as PM10 particle size. The visualizations were created from monthly averages for the concentration of airborne manganese The data was collected using the TO-15 collection systems for air monitoring device. (reference -  https://www3.epa.gov/air/sat/pdfs/VocTechdocwithappendix1209.pdf) The files included are: The raw data - Marietta_OhioValleyEducationalServiceCenter_Raw.csv . Aggregated monthly averages of the raw data - Marietta_OhioValleyEducationalServiceCenter_Processed.csv. How the raw data are processed into monthly averages - Marietta_OhioValleyEducationalServiceCenter_WorkingFile.xlsx. How the video is generated- Marietta_OhioValleyEducationalServiceCenter.ppt. Video - Marietta_OhioValleyEducationalServiceCenter - generated from Marietta_OhioValleyEducationalServiceCenter.ppt.
    Creator/Author:
    Yao, Zhiyuan; Hilbert, Tim, and Haynes, Erin
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/27/2018
    Date Modified:
    07/11/2019
    Date Created:
    2009-08-17 to 2012-02-25
    License:
    CC0 1.0 Universal

  • Air Monitoring for Marietta Warren Elementary School - CARES Data Set 2

    Type:
    Dataset
    Description/Abstract:
    This data set and accompanying files represents air monitoring data collected by the Environmental Protection Agency from 2009-08-17 to 2012-02-25 at the Warren Elementary School in Marietta, Ohio (39.393536, -81.554015). The variables of interest were the amount of manganese and lead in the air measured as PM10 particle size. The visualizations were created from monthly averages for the concentration of airborne manganese. The data was collected using the TO-15 collection systems for air monitoring device. (reference -  https://www3.epa.gov/air/sat/pdfs/VocTechdocwithappendix1209.pdf) The files included are: The raw data - Marietta_WarrenElementraySchool_Raw.csv . Aggregated monthly averages of the raw data - Marietta_WarrenElementraySchool_Processed.csv. How the raw data are processed into monthly averages - Marietta_WarrenElementraySchool_WorkingFile.xlsx. How the video is generated- Marietta_WarrenElementraySchool.ppt. Video - Marietta_WarrenElementraySchool.mp4 - generated from Marietta_WarrenElementraySchool.ppt.
    Creator/Author:
    Erin Hayes; Zhiyuan Yao, and Tim Hilbert
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/26/2018
    Date Modified:
    07/11/2019
    Date Created:
    2009-08-17 to 2012-02-25
    License:
    CC0 1.0 Universal

  • Impact of Interactive Software in Intro POL Courses

    Type:
    Dataset
    Description/Abstract:
    The aims of this study is to evaluate the impact of interactive student response software (SRS technology) in large introductory classes in Political Science taught at the University of Cincinnati. Getting the students engaged in these classes has been one of the main priorities of the College of Arts and Sciences. This study draws on data from Introduction to International Relations offerings from Fall 2012 to Spring 2018, some of which have used interactive software while others have not used any software. Additionally, some offerings have had an assigned supplemental instructor (IS) while others have not had SI. The overall aim is to evaluate whether these instructional innovations have helped improved student performance in this class. The main hypothesis tested during the study is that availability of SRS technology tends to improve student performance during exams. The secondary hypothesis is that the availability of more advanced (second-generation) student response technology (such as Echo 360) tends to improve students performance in class in comparison to earlier (first-generation) SRS devices (known as “clickers”). Background and significance The positive impact of SRS engagement technology on student performance the across different disciplines been well documented in the literature (Marlow et al 2009; Kam and Sommer 2006; Prezler et al 2007 and others). Most of the literature focuses on first generation student response system, also known as clickers (Elliott 2003; Riebens 2007; Crossgove and Curan 2008, Shapiro 2009). Some of the studies focus on the use of this technology without a control group (Beavers 2010; DeBourgh 2008; Kennedy and Cutts 2005; Sprague and Dahl 2010) while others discuss how personal response software impact student performance throughout the whole semester (Evans, 2012). This study differs from existing ones in several ways. First, by collecting data over 5-year period, not only can we compare groups of students using SRS systems with those who don’t but also we can compare offerings using first-generation SRS technology (e.g. the “clickers”) and those using second-generation SRS software (such as Echo 360) that contains more advanced interactive features. Second, the study allows comparison of the SRS impact on different course components and requirements. Third, it evaluates the impact of the student response system in combination with other techniques used in a large classroom such as supplemental instruction or SI. This new setting offers valuable insights about the impact of different types of SRS technology and other interactive techniques designed to engage students in large classrooms. Approach and Source of records Records for student performance collected throughout the whole semester for each student. Demographic information for the students enrolled in class collected from the course rosters and from the University of Cincinnati’s student information system Catalyst ( https://catalyst.uc.edu/). All records are electronic. Those that are not available on Catalyst but are generated as a part of the student performance are currently stored in excel format by the instructor and researcher in an external USB drive which is only accessible to the instructor and PI (same person). No other person has access to the data. The research does not involve the collection of data or other results from individuals that will be submitted to, or held for inspection by, the FDA. No part of the research involves any data that will be provided (in any form) to a pharmaceutical, medical device or biotech company.
    Creator/Author:
    Ivanov, Ivan
    Submitter:
    Ivan Ivanov
    Date Uploaded:
    07/24/2019
    Date Modified:
    07/24/2019
    Date Created:
    November 30, 2018
    License:
    All rights reserved

  • 15 participants with dietary intake and measurements

    Type:
    Dataset
    Description/Abstract:
    Fifteen participants from one worksite setting, an academic medical research university, were engaged in a nutrition intervention beginning in March, 2019, lasting 12 weeks. They were measured for height, weight, circumferences (chest, iliac waist, mid-point waist, hips) blood pressure, and dietary intake X 3 at the start and after 3 months.
    Creator/Author:
    Leslie, Jamie
    Submitter:
    Jamie Leslie
    Date Uploaded:
    01/31/2020
    Date Modified:
    01/31/2020
    Date Created:
    2019-04
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Transition to Remote Learning During the COVID-19 Pandemic: Lessons from Political Science Courses and Recommendations for Best Practices

    Type:
    Dataset
    Description/Abstract:
    Dataset Summary: This dataset studies the main challenges that students in these institutions faced during the transition from face-to-face (f2f) to remote mode of instruction and the resources that they used to minimize these adversities. In order learn about their experiences during this transition, I surveyed at the end of the Spring Semester students enrolled in two Political Science (POL) classes. The results showed that majority of students struggled with stress caused by moving away from campus and self-quarantine leading to deteriorating mental and physical health. Concerns about student health along with distraction at home were identified as top adversities for student well-being. Survey results also showed that educational resources can have varying impact on student learning in introductory and upper-level courses. For example, lecture notes, power point presentations and online videos can be better resources for remote instruction in an introductory class, while class meetings via video conferencing platforms can be the preferred resource of instruction in upper-level courses. Below is the questionnaire used for this study: Survey Questionnaire: Transition to Remote Instruction During COVID-19 Crisis: Qualtrics Link for POL1080:  https://artsciuc.co1.qualtrics.com/jfe/form/SV_bd7cF1OF6eNeYBv Qualtrics Link for POL2074:  https://artsciuc.co1.qualtrics.com/jfe/form/SV_3xegnXy4LFSC2t7 1. As you know, the University of Cincinnati has transitioned from face-to-face to remote instruction for Spring Semester since March 14, 2020 due to COVID-19. Once it was decided to switch to remote instruction, how did you expect that this decision would impact your performance in this class? I thought it would improve my performance I thought it would impair my performance I did not think that it would impact my performance I don’t know 2. Based on your experience with remote instruction, how do you think the new form of instruction impacted your performance in this class? I did better in this class after we switched to remote teaching I did worse in this class after we switched to remote teaching The switch to remote teaching had no impact on my performance I don’t know. 3. Do you agree or disagree with the following statement: “I felt that the instructor in this class provided timely instructions and information about the switch from face-to-face to remote form of content delivery in the class”? Completely agree Partially agree Partially disagree Completely disagree Not sure/ don’t know. 4. Do you agree or disagree with the following statement: “I felt that the instructor in this class cared about my performance in the class once we switched from face-to-face to remote form of content delivery in the class”? Completely agree Partially agree Partially disagree Completely disagree Not sure/ don’t know. 5. Which of the following course resources (if available) helped you ease the transition from face-to-face to remote instruction (check all that apply)? Online instructional videos created or made available by the instructor Instructor-led class meetings via a web-conferencing platform (e.g. Webex, Zoom, MS Teams, Skype) Meetings with the instructor via a web-conferencing platform (e.g. Webex, Zoom, MS teams, Skype) during their office hours Instructor’s lecture notes and presentation materials (e.g. Power Point Slides) Online quizzes or interactive questions administered via web platforms (e.g. Canvas, Blackboard, Echo 360 or others). Online forums made available for this course Assigned course readings Book publisher’s online resources (websites, book ancillaries, etc.) Supplemental assistance from teaching assistants (e.g. office hours, online sessions, etc.) Supplemental peer-led review sessions (e.g. Learning Assistant Sessions, Supplemental Instruction Sessions, etc.) Group activities with peers enrolled in the class (e.g. study sessions via conference platforms) Others (please list) _________. 6. Which one of the following course resources was most helpful to you in the transition from face-to-face to online mode of content delivery (select only one)? Online instructional videos created or made available by the instructor Instructor-led class meetings via a web-conferencing platform (e.g. Webex, Zoom, MS Teams, Skype) Meetings with the instructor via a web-conferencing platform (e.g. Webex, Zoom, MS teams, Skype) during their office hours Instructor’s lecture notes and presentation materials (e.g. Power Point Slides) Online quizzes or interactive questions administered via web platforms (e.g. Canvas, Blackboard, Echo 360 or others). Online/ web discussion forums made available for this course Assigned course readings Textbook publisher’s online resources (websites, book ancillaries, etc.) Supplemental assistance from teaching assistants (e.g. office hours, online sessions, etc.) Supplemental peer-led review sessions (e.g. Learning Assistant Sessions, Supplemental Instruction Sessions, etc.) Group activities with peers enrolled in the class (e.g. study sessions via web-conferencing platforms) Others (please list) _________. 7. Which of the following, do you think, impacted negatively your performance in this class during the transition from face-to-face to remote instruction (please select all relevant options)? I had to move away from campus in the middle of the semester My physical or mental health deteriorated after we switched to remote instruction I missed face-to-face interaction with the instructor, the TAs and the undergrad assistant (SI) I did not have stable and reliable Internet connection at home I had a lot of distraction at home I lost my job/ income due to the COVID-19 epidemic I had to take an additional job to support myself and/ or my family Self-quarantine and/ or social distancing caused me a lot of stress The news about the COVID-19 epidemic and concerns about my health and the health of my loved ones caused me a lot of stress Other (please list) ___________. 8. Which of the following, do you think, impacted negatively your performance in this class during the transition from face-to-face to remote instruction (please select only one options)? I had to move away from campus in the middle of the semester My physical or mental health deteriorated after we switched to remote instruction I missed face-to-face interaction with the instructor, the TAs and the undergrad assistant (SI) I did not have stable and reliable Internet connection at home I had a lot of distraction at home I lost my job/ income due to the COVID-19 epidemic I had to take an additional job to support myself and/ or my family Self-quarantine and/ or social distancing caused me a lot of stress The news about the COVID-19 epidemic and concerns about my health and the health of my loved ones caused me a lot of stress Other (please list): 9. Based on your experience with this course’s transition from face-to-face to remote instruction for Spring Semester 2020, what aspects of this transition had greatest values for you? Open ended question: 10. Based on your experience with this course’s transition from face-to-face to remote instruction for Spring Semester 2020, what changes would you recommend to ease this transition in the future? Open ended question: 11. What is your gender? Male Female Other/ prefer not to disclose 12. What is your major? Political Science International Affairs Interdisciplinary/ Cyber Strategy and Policy Interdisciplinary/ Law and Society Another major (please specify) 13. What is your class level? First year (freshman) Second year (sophomore) Third year (junior) Fourth year (senior) 14. What is your race or ethnicity? White Black or African American Asian American Indian or Alaska Native Native Hawaiian or Pacific Islander International student Other 15. What do you think your grade will be for this course? A or A- B+, B or B- C+, C or C- D+, D or D- F Nor sure/ don't know
    Creator/Author:
    Ivanov, Ivan
    Submitter:
    Ivan Ivanov
    Date Uploaded:
    05/14/2020
    Date Modified:
    05/14/2020
    Date Created:
    2020-05-13
    License:
    All rights reserved

  • Aniba DNA sequence matrices

    Type:
    Dataset
    Description/Abstract:
    Matrices of DNA sequences used to generate the phylogeny of Aniba rosiodora and related species (Lauraceae) presented in the manuscript entitled "Chemical and genotypic variations in Aniba species from the Amazonian forest"
    Creator/Author:
    Tepe, Eric
    Submitter:
    Eric Tepe
    Date Uploaded:
    05/17/2019
    Date Modified:
    05/17/2019
    Date Created:
    2019-05-16
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Topic Models of Archaeology Articles referencing 'Bone'

    Type:
    Dataset
    Description/Abstract:
    Six topic models were generated using Latent Dirichlet Allocation, an algorithm that considers the probability of words co-occurring in a document given a collection of documents. The collection of documents that these particular models are based on include 599 articles that include the term 'bone' from two archaeology journals, Ancient Mesoamerica and Latin American Antiquity.
    Creator/Author:
    McCabe, Erin E. and Jackson, Sarah E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    07/29/2020
    Date Modified:
    07/29/2020
    Date Created:
    2019-11-01
    License:
    Open Data Commons Attribution License (ODC-By)

  • List of Articles used to Generate Archaeology/Bone Topic Models

    Type:
    Dataset
    Description/Abstract:
    This list contains the titles and publication years of 599 articles from two Archaeology journals, Ancient Mesoamerica and Latin American Antiquity that contain the term, 'bone'. The articles named in this list were used as the dataset to generate LDA topic models for related research.
    Creator/Author:
    Jackson, Sarah E. and McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    07/29/2020
    Date Modified:
    07/29/2020
    Date Created:
    December 1, 2019
    License:
    Open Data Commons Attribution License (ODC-By)

  • Full Data Set - Proposal for the establishment of a National Service Learning Academy and complimentary Action Research Program at the University of Cincinnati

    Type:
    Dataset
    Description/Abstract:
    This data set is associated with: Turner, G. W. (2014). Proposal for the establishment of a National Service Learning Academy and complimentary Action Research Program at the University of Cincinnati. University of Cincinnati.  https://doi.org/10.7945/2hmt-1h17.
    Creator/Author:
    Turner, Grant
    Submitter:
    Grant Turner
    Date Uploaded:
    08/30/2020
    Date Modified:
    08/30/2020
    Date Created:
    2014
    License:
    Attribution-NonCommercial-ShareAlike 4.0 International

  • COVID 19 literature NLP models – Viral outbreak topic tuning

    Type:
    Dataset
    Description/Abstract:
    The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
    Creator/Author:
    Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Kannayyagar, Suraj; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Lee, James; Powers, Margaret, and Hagedorn, Philip
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/30/2020
    Date Modified:
    11/05/2020
    Date Created:
    2020-07
    License:
    CC0 1.0 Universal

  • COVID 19 literature NLP models - Viral outbreak model centrality files

    Type:
    Dataset
    Description/Abstract:
    The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
    Creator/Author:
    Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Lee, James; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Kannayyagar, Suraj, and Powers, Margaret
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/29/2020
    Date Modified:
    11/05/2020
    Date Created:
    2020-07
    License:
    CC0 1.0 Universal

  • COVID 19 literature NLP models – Viral outbreak models formatted

    Type:
    Dataset
    Description/Abstract:
    The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
    Creator/Author:
    Koshoffer, Amy; Hagedorn, Philip ; Latessa, Jenny; Lee, James; Power, Margaret; Luken, Sally; McCabe, Erin; Wu. Danny; Washington, Dorcas; Kannayyagar, Suraj, and Edgerton, Ezra
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/29/2020
    Date Modified:
    11/05/2020
    Date Created:
    2020-07
    License:
    CC0 1.0 Universal

  • Data on Special Education Voucher use in OH, GA and FLA and information on loss of Least Restrictive Environment Civil Rights

    Type:
    Dataset
    Description/Abstract:
    Data collected to identify use of special education vouchers in OH, GA and FLA and if information provided regarding loss of least restrictive environment civil rights.
    Creator/Author:
    Hulgin, K. and Fitch, E. F.
    Submitter:
    Kathleen Hulgin
    Date Uploaded:
    11/19/2020
    Date Modified:
    11/19/2020
    Date Created:
    2019-11-01
    License:
    Public Domain Mark 1.0

  • A Dataset of Roman Fish-Salting and Fulling Workshops

    Type:
    Dataset
    Description/Abstract:
    This dataset contains quantitative and qualitative data about the archaeological remains of fish-salting and fulling workshops throughout the ancient Mediterranean world (Europe, North Africa, and Western Asia), primarily dating to the Roman period. The data provided the basis for the two case studies in the author's dissertation (Motz, C.F. 2021. "The Knowledge Networks of Workshop Construction in the Roman World." Ph.D. diss., University of Cincinnati). The tables contained in this dataset were exported from the author's FileMaker database. Detailed information about the structure and contents of this dataset may be obtained by consulting Chapter 2 of the author's dissertation.
    Creator/Author:
    Motz, Christopher
    Submitter:
    Christopher Motz
    Date Uploaded:
    02/18/2021
    Date Modified:
    02/18/2021
    Date Created:
    2021
    License:
    Open Data Commons Open Database License (ODbL)

  • IRS Classification of Ohio Non-Profit Organizations

    Type:
    Dataset
    Description/Abstract:
    Each row in this dataset depicts a single non-profit organization (NPO), labeled by their Employer Identification Number (EIN). Each row contains the National Taxonomy of Exempt Entities (NTEE) code assigned to each NPO by the IRS (if any) and the official Essential/Non-Essential status connected to that NTEE code.
    Creator/Author:
    Jones, Michael and McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/06/2021
    Date Modified:
    05/07/2021
    Date Created:
    2020-11-01
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Vocabulary Comparison of Medical School Applications

    Type:
    Dataset
    Description/Abstract:
    W2V takes terms from a large corpus of text and models them onto a vector space, based on word associations from your dataset. These Word Associations take into account each word's immediate context (its ten neighboring words).​ Following the data modeling (large-scale unstructured text), The platform then generates a visualization of this vector space, which lets us perform analysis e.g. detect synonymous/synonym-ish words and highlight related words. At the heart of this project, is W2V's ability to identify key words that were more frequent - and more unique - to each group using results from 2 different W2V models – one for each group's application texts.​ We coded these Key Terms into categories, then analyzed those categories for overarching themes.​ ​
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/14/2021
    Date Modified:
    05/14/2021
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)