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  • Q2000 Deep Learning Model Package

    Type:
    Dataset
    Description/Abstract:
    Q2000 Deep Learning Model Package This Technical Resource Bundle provides the Q200 Deep Learning model for open access download and use. The Q2000 DL model is built to detect Maya structures in Lidar data visualized at one meter per pixel. Currently, this repository contains the ESRI ArcGIS compatible DL model in the format .dlpk. We expect to convert the model in its current form into Pytorch (.pt) and TensorFlow (.h5) formats to incude them also here for user access. The Q2000.dlpk file was created in 2025 at University of Cincinnati by Benjamin Britton, using ArcGIS Pro v.3.3 with data from the NASA Ames G-LiHT. It is intended as a experiment to evaluate the practicability of creating a broadscale deep learning model that can be used effectively to identify Maya structures in Lidar data across the length and breadth of the Yucatan Peninsula. The Q2000 model is the subject of an article, a draft of which is also included in this dataset, called "Evaluating Broadscale Deep Learning for Maya Settlement Detection in G-LiHT Lidar" which examines the process and rationale of the model development in detail. The article has been submitted for peer-reviewed publication, and if accepted, upon publication the final article will be posted here with a link to its permanent (DOI) publication site. The version currently posted (Aug 23, 2025) is an unpublished draft for use as a placeholder pending publication. To use the model with ArcGIS Pro, use a Lidar dataset converted to a 1m/pixel DEM file and visualized as a 3-channel RGB Hillshade or other customized visualization as source input. -Using the ArcGIS Pro Spatial Analyst Extension, the geoprocessing tool called "Detect Object Using Deep Learning" may be invoked. -For Input Raster, add your Lidar visualization (a Hillshade visualization might be easiest for most users). -For Output Detected Objects, specify a new Layer name, and this will be the layer on which the detections will be recorded and displayed. -For Model Definition, use Q2000.dlpk. -Unless you want to run "arguments", you can leave the Arguments boxes as their Default. -I suggest checking the box (On) for Non Max suppression because it will reduce the amount of overlapping detections if target objects are located very close to each other, and I suggest a Non-Maximum Suppression (NMS) ratio of 0.5. This will tend to suppress detections that overlap by more than 50 percent. -I suggest you use Pixel Space unchecked (Off), since it is for an unrelated sort of object detection. -Before you click run, open the "Environments" tab (at the top of the window, next to the "Parameters" tab). Leave all the settings at their defaults there - except scroll down to the bottom of Parameters tab to the section called "Processor Type", pull down the Processor type pull-down, and choose GPU (it is set to CPU by default). -Then click Run and it will generate a new layer showing its detections as bounding boxes around target objects. You can see details for each detection by opening the Attribute Table on the new layer. You can see a screen capture of such a configuration in the image called Q200DemoScreenCap.jpg, included in this site's dataset, showing a detection on G-LiHT transect Yucatan_South_GLAS_395 near Pixoyal, with a detection of a Maya staircase highlighted on the display, and its corresponding information highlighted in the Attribute Table for it.
    Creator/Author:
    Britton, Benjamin
    Submitter:
    Benjamin Britton
    Date Uploaded:
    08/23/2025
    Date Modified:
    08/23/2025
    Date Created:
    March 15, 2025
    License:
    Public Domain Mark 1.0

  • Figure 2 572918348R MRTX1133 Extended Time Point Full Length Blots

    Type:
    Dataset
    Description/Abstract:
    572918-348-R colorectal cancer organoids were treated with 300nM MRTX1133 for 0, 24, 48, and 72 hours before lysis and loading onto 7.5% SDS-PAGE gels. Gels were transferred to nitrocellulose membranes and cut at the 95kDa and just below the 52 kDa molecular weight (MW) markers. Membranes were then probed for proteins that fell within the MW and evaluated for change in comparison to the 0h control.
    Creator/Author:
    Kilroy, Mary
    Submitter:
    Mary Kilroy
    Date Uploaded:
    05/24/2025
    Date Modified:
    05/24/2025
    License:
    Attribution 4.0 International

  • Figure 2 SNU-407 MRTX1133 Extended Time Point Full Length Blots

    Type:
    Dataset
    Description/Abstract:
    SNU-407 colorectal cancer cells were treated with 300nM MRTX1133 for 0, 24, 48, and 72 hours before lysis and loading onto 7.5% SDS-PAGE gels. Gels were transferred to nitrocellulose membranes and cut at the 95kDa and just below the 52 kDa molecular weight (MW) markers. Membranes were then probed for proteins that fell within the MW and evaluated for change in comparison to the 0h control.
    Creator/Author:
    Kilroy, Mary
    Submitter:
    Mary Kilroy
    Date Uploaded:
    05/23/2025
    Date Modified:
    05/23/2025
    License:
    Attribution 4.0 International

  • Data to accompany “Monarch butterflies (Danaus plexippus) only use magnetic cues for migratory directionality with orientation re-calibrated by coldness”

    Type:
    Dataset
    Description/Abstract:
    Data on orientation angle for fall migratory monarch butterflies exposed to experimental magnetic conditions north of, at, and south of their overwintering sites in Mexico. Additional orientation data for butterflies consistently exposed to either fall-like or colder temperatures.
    Creator/Author:
    Matter, Stephen F.
    Submitter:
    Stephen F. Matter
    Date Uploaded:
    05/21/2025
    Date Modified:
    06/16/2025
    Date Created:
    2024
    License:
    Open Data Commons Attribution License (ODC-By)

  • Varieties of International Cyber Strategies (VoICS): Text Analysis of National Cybersecurity Documents

    Type:
    Dataset
    Description/Abstract:
    Varieties of International Cyber Strategies (VoICS): Text Analysis of National Cybersecurity Documents is a project that compares and contrasts the three main approaches to conceptualize national cybersecurity strategies (NSS): deterrence, norm-based approach (NBA) and cyber persistence engagement (CPE). Scholars and policymakers have initially conceptualized NSS in terms of deterrence or NBA. More recent academic research has demonstrated that these frameworks are inadequate for cyber space. As a result, Cyber Persistence Engagement (CPE) emerged as a third option. The first version (1.0) of the VoICS database on National Cybersecurity Strategies focuses on nations in Europe and North America and includes a total of 77 NCS of the states in the North Atlantic Area—NATO allies, EU members and Switzerland—released from 2003 until the end of 2023. The current 1.2 version includes 83 strategies from 36 allies and partners. It consists of 27 variables, including country and strategy identifiers, EU and NATO membership, their respective accession dates, and total length of the documents. VoICS include eighteen variables representing different measures of relative and absolute weights of the three NSS types—deterrence, NBA and CPE. The text analysis is based on official NSS documents provided by the NATO Cooperative Cyber Defence Centre of Excellence library (2024) and ENISA’s interactive map for National Cyber Security Strategies (2023). Both sources rely on voluntary submission from the member states. Unfortunately, some official documents were not available or accessible or were not listed at all. Authors have used various sources and contacts with a variety of cyber attachés in Brussels to determine if any additional strategies were released and to obtain the missing documents. The 18 text analysis variables compare and contrast the extent to which different NCS are associated with a specific strategy. They represent different frequency scores based either on words, phrases, or words and phrases combined. These calculations are associated with either deterrence, NBA, or CPE in each strategy. The authors have generated respective vocabularies for the three strategic ideas through which each of these approaches are operationalized. We have conducted a text analysis using WordStat text analysis software by Provialis ( https://provalisresearch.com/products/content-analysis-software/). A detailed codebook for NSS Dataset 1.2 along with a NSS Dictionary 1.2 have been included in this collection/ repository. The process of generating vocabulary associated with the three cybersecurity approaches involved several steps. First, upon reviewing the literature, the authors generated independently a list of words and phrases associated with each type of cybersecurity strategy. Second, the authors compared their lists to determine the degree of overlap in vocabulary. Those words and phrases that included in at least two different lists were reviewed and, if there was consensus, were incorporated in the dictionary. Finally, words and phrases which were identified in only one of lists were once again reviewed and, in case there was a consensus among the authors, these were also included in the dictionary. Third, the three vocabularies were updated on several instances when it was unanimously agreed that these words or phrases should be included in the analysis.
    Creator/Author:
    Millard, Matthew; Kovac, Igor, and Ivanov, Ivan Dinev
    Submitter:
    Ivan Ivanov
    Date Uploaded:
    05/12/2025
    Date Modified:
    08/29/2025
    Date Created:
    2025-04-18
    License:
    All rights reserved

  • Changing Support among European Union (EU) Members for the War in Ukraine

    Type:
    Dataset
    Description/Abstract:
    This is a dataset generated as a part of a research project studying the changing support among European Union (EU) members for the war in Ukraine. The dataset contains a number of conditions (variables) used to conduct fuzzy-set qualitative comparative analysis (fsQCA) to test five critical conditions that have shaped the change in public opinion that include economic growth, democratic rule, distance from the front lines, level of energy dependence from Russia and trust in social media. These conditions (or variables) include: Num: Case number in the row MEMBR: EU member state two or three-letter abbreviation WEALTH: GDP per capita in Euro (measured in purchasing power parties) as reported by Eurostat GROWTH: GDP growth in volume based on seasonally adjusted data by Eurostat DEMOCR: the overall score for each EU member’s democracy index for 2022. Data have been drawn from the Economist Intelligence Unit (EIU) 2022 report DISTAN: an average distance (in thousand kilometers) from the geographic center point of the national capital of each EU member-state to the south-western and north-eastern tips of the frontline of the war in Ukraine. I have accepted that the western tip of the frontline is Kinburnsʹka Kosa National Park (Geographic Coordinates: 46°34’37”N 31°30’44”E) and the eastern tip of the frontline is at the village of Topoli in Kharkiv Oblast (Geographic Coordinates: 49°57’52″N, 37°54′31″E). TRADE: volume of trade with Russia per capita in thousand of US Dollars. ENERGY: EU energy dependence on Russia as estmated by the European Commission (from 0 to 100 percent) for 2020. Source: Eurostat. GOVTR: Net trust in national government (difference between the sum of fully trust and partially trust responses and fully distrust and partially distrust responses). MEDIATR: Net trust in social media (difference between the sum of fully trust and partially trust responses and fully distrust and partially distrust responses). ECONSAN: Difference in support for economic sanctions on Russia, Spring 2022-Spring 2024 (difference between the sum of tend to agree and totally agree with economic sanctions and partially disagree and totally disagree with sanctions responses). EQUIPS: Difference in support for financial support for providing military equipment for Ukraine, Spring 2022-Spring 2024 (difference between the sum of tend to agree and totally agree with financial support for equipment and partially disagree and totally disagree with support for equipment). HUMSAN: Difference in support for humanitarian support for Ukrainians fleeing the war, Spring 2022-Spring 2024 (difference between the sum of tend to agree and totally agree with humanitarian support for Ukrainians and partially disagree and totally disagree with humanitarian support for Ukrainians). REFUG: Difference in support for welcoming Ukrainian refugees, Spring 2022-Spring 2024 (difference between the sum of tend to agree and totally agree with welcoming Ukrainian and partially disagree and totally disagree with welcoming Ukrainian refugees). AVCHNG: Difference in average change of the support for Ukraine and economic sanctions on Russia, Spring 2022-Spring 2024. WEALTH1: Calibrated score for national wealth (see paper for details) GROWT1: Calibrated score for economic growth (see paper for details) DEMOCR1: Calibrated score for democracy (see paper for details) DISTAN1: Calibrated score for distance (see paper for details) TRADE1: Calibrated score for trade (see paper for details) RENERG1: Calibrated score for energy dependence (see paper for details) GOVTR1: Calibrated score for trust in governance (see paper for details) RMEDIATR1: Calibrated score for trust in social media (see paper for details) ECONSAN1: Calibrated score for support for economic sanctions on Russia (see paper for details, calibration the same as AVCHNG3) MDIASAN1: Calibrated score for media sanctions on Russia (see paper for details, calibration the same as AVCHNG3) AVCHNG3: Calibrated score for average change/ decline for public opinion (see paper for details)
    Creator/Author:
    Ivanov, Ivan
    Submitter:
    Ivan Ivanov
    Date Uploaded:
    04/27/2025
    Date Modified:
    04/27/2025
    Date Created:
    5-01-2024
    License:
    All rights reserved

  • ecology-and-evolution-2025-data

    Type:
    Dataset
    Description/Abstract:
    Raw data for: Siers, S.R., Mungaray, J.-C., Kastner, M. & Jayne, B.C. (2025) Hard to swallow: scaling relationships between the size of avian prey and the overall size and maximal gape of brown treesnakes. Ecology and Evolution (in revision). (BCJ corresponding author)
    Creator/Author:
    Jayne, Bruce
    Submitter:
    Bruce Jayne
    Date Uploaded:
    04/02/2025
    Date Modified:
    04/02/2025
    Date Created:
    2025-04-02
    License:
    Open Data Commons Attribution License (ODC-By)

  • Monarch butterflies (Danaus plexippus) only use magnetic cues for migratory directionality with orientation re-calibrated by coldness - data file

    Type:
    Dataset
    Description/Abstract:
    Data of monarchs subjected to righting response orientation trials under different artificial magnetic fields pre- and post-overwintering cold treatment.
    Creator/Author:
    Shively-Moore, Samuel
    Submitter:
    Samuel Shively-Moore
    Date Uploaded:
    03/25/2025
    Date Modified:
    05/21/2025
    License:
    Attribution-NonCommercial 4.0 International

  • SNU-407 Combination MTT Excel Files for SynergyFinder+ (Figure 5)

    Type:
    Dataset
    Description/Abstract:
    SNU-407 cells were treated with a combination of varying concentrations of MRTX1133 with varying concentrations of either afatinib, sapitinib, or pelitinib for 72 hours. Absorbances were normalized to DMSO control for % viability. The attached files were compiled in data format from n=2 data sets (6 data points total for each combination) and uploaded to SynergyFinder+ with % viability chosen as response.
    Creator/Author:
    Kilroy, Mary
    Submitter:
    Mary Kilroy
    Date Uploaded:
    03/07/2025
    Date Modified:
    03/07/2025
    Date Created:
    2024
    License:
    Attribution 4.0 International

  • LS513 Combination MTT Excel Files for SynergyFinder+ (Figure 5)

    Type:
    Dataset
    Description/Abstract:
    LS513 cells were treated with a combination of varying concentrations of MRTX1133 with varying concentrations of either afatinib, sapitinib, or pelitinib for 72 hours. Absorbances were normalized to DMSO control for % viability. The attached files were compiled in data format from n=2 data sets (6 data points total for each combination) and uploaded to SynergyFinder+ with % viability chosen as response.
    Creator/Author:
    Kilroy, Mary
    Submitter:
    Mary Kilroy
    Date Uploaded:
    03/07/2025
    Date Modified:
    03/07/2025
    Date Created:
    2024
    License:
    Attribution 4.0 International

  • Greater Caribbean Manatee (Trichechus manatus manatus) BC-ABR data

    Type:
    Dataset
    Description/Abstract:
    Hearing data obtained using Bone Conduction Auditory Brainstem Response (BC-ABR) testing on six Greater Caribbean Manatees being rehabilitation at the Caribbean Manatee Conservation Center in Bayamon, Puerto Rico. Hearing data was collected while hearing assessments were conducted for clinical assessments of hearing.
    Creator/Author:
    Daniel Gonzalez-Socoloske; Moore, Amanda; Scheifele, Peter, and Antonio A. Mignucci-Giannoni
    Submitter:
    Amanda Moore
    Date Uploaded:
    02/21/2025
    Date Modified:
    02/21/2025
    Date Created:
    2024-05-28
    License:
    Attribution 4.0 International

  • Greater Caribbean Manatee Laguna del Condado recordings

    Type:
    Dataset
    Description/Abstract:
    Greater Caribbean manatee (Trichechus manatus manatus) pool recordings from the Caribbean Manatee Conservation Center in Bayamon, Puerto Rico including location and depth of recordings as well as recordings from the natural protected habitat of Laguna del Condado, San Juan, Puerto Rico which includes the GPS coordinates in the recording title. All recordings obtained using omnidirectional hydrophones with H1 recorder (Model SQ26-H1; Cetacean Research Technology, 2007) and are in .wav format.
    Creator/Author:
    Daniel Gonzalez-Socoloske; Scheifele, Peter; Antonio A. Mignucci-Giannoni, and Moore, Amanda
    Submitter:
    Amanda Moore
    Date Uploaded:
    02/21/2025
    Date Modified:
    02/21/2025
    Date Created:
    2024-05-29
    License:
    Attribution 4.0 International

  • Greater Caribbean Manatee rehabilitation pool (36,000 gallon) recordings

    Type:
    Dataset
    Description/Abstract:
    Greater Caribbean manatee (Trichechus manatus manatus) pool recordings from the Caribbean Manatee Conservation Center in Bayamon, Puerto Rico including location and depth of recordings as well as recordings from the natural protected habitat of Laguna del Condado, San Juan, Puerto Rico which includes the GPS coordinates in the recording title. All recordings obtained using omnidirectional hydrophones with H1 recorder (Model SQ26-H1; Cetacean Research Technology, 2007) and are in .wav format.
    Creator/Author:
    Moore, Amanda; Antonio A. Mignucci-Giannoni; Daniel Gonzalez-Socoloske, and Scheifele, Peter
    Submitter:
    Amanda Moore
    Date Uploaded:
    02/21/2025
    Date Modified:
    02/21/2025
    Date Created:
    2024-05-24
    License:
    Attribution 4.0 International

  • Greater Caribbean Manatee rehabilitation pool (24,000 gallon) recordings

    Type:
    Dataset
    Description/Abstract:
    Greater Caribbean manatee (Trichechus manatus manatus) pool recordings from the Caribbean Manatee Conservation Center in Bayamon, Puerto Rico including location and depth of recordings as well as recordings from the natural protected habitat of Laguna del Condado, San Juan, Puerto Rico which includes the GPS coordinates in the recording title. All recordings obtained using omnidirectional hydrophones with H1 recorder (Model SQ26-H1; Cetacean Research Technology, 2007) and are in .wav format.
    Creator/Author:
    Scheifele, Peter; Daniel Gonzalez-Socoloske; Antonio A. Mignucci-Giannoni, and Moore, Amanda
    Submitter:
    Amanda Moore
    Date Uploaded:
    02/21/2025
    Date Modified:
    02/21/2025
    Date Created:
    2024-05-24
    License:
    Attribution 4.0 International

  • Greater Caribbean Manatee rehabilitation pool (6,000 gallon) recordings

    Type:
    Dataset
    Description/Abstract:
    Greater Caribbean manatee (Trichechus manatus manatus) pool recordings from the Caribbean Manatee Conservation Center in Bayamon, Puerto Rico including location and depth of recordings as well as recordings from the natural protected habitat of Laguna del Condado, San Juan, Puerto Rico which includes the GPS coordinates in the recording title. All recordings obtained using omnidirectional hydrophones with H1 recorder (Model SQ26-H1; Cetacean Research Technology, 2007) and are in .wav format.
    Creator/Author:
    Peter M. Scheifele; Antonio A. Mignucci-Giannoni; Daniel Gonzalez-Socoloske, and Moore, Amanda
    Submitter:
    Amanda Moore
    Date Uploaded:
    02/21/2025
    Date Modified:
    02/21/2025
    Date Created:
    2024-05-24
    License:
    Attribution 4.0 International

  • Lingual-Swallowing Functions Raw Data

    Type:
    Dataset
    Description/Abstract:
    Data collected for a project under the Dysphagia Rehabilitation Lab at the University of Cincinnati. The manuscript was submitted to the American Journal of Speech Language Pathology and is currently under review. Below is the abstract. Purpose: Manometric measures of lingual function are widely used in clinical practice, premised on the assumption that lingual impairments affect oropharyngeal swallowing. This study assessed correlations between measures of lingual function and oropharyngeal swallowing impairments using the Modified Barium Swallow Impairment Profile (MBSImP). Method: Participants undergoing routine Modified Barium Swallow Studies (MBSS) were recruited if able and willing to complete the lingual measurement protocol. Post-MBSS, participants completed the Eating Assessment Tool (EAT-10) and measures of lingual pressure during a saliva swallow, anterior maximum isometric press (aMIP), effortful swallow, anterior isometric endurance (ISO-M), and anterior isotonic endurance (ISO-T). Correlations between these measures and MBSImP Oral Total (OT) and Pharyngeal Total (PT) Overall Impression scores and Penetration-Aspiration Scale (PAS) scores were evaluated using Spearman’s correlation coefficients. Results: The final sample included 41 patients (23 men, 18 women; M= 61.75 ± 14.72 years) with heterogenous diagnoses. Analyses showed a moderate, significant negative correlation between aMIP and Oral Total (rs = -0.44, p < .01), and ISO-M and OT (rs = -0.36, p = .02). Specifically, aMIP was strongly correlated with oral residue (Component 5; rs = -0.49, p < .01), and ISO-M with tongue control during bolus hold (Component 2; rs = -0.47, p < .01). No significant correlations were found with Pharyngeal Total, EAT-10 or PAS scores. Conclusions: Some lingual measurements correlate with oral physiological impairments, suggesting potential utility as clinical indicators of oral swallowing physiology. Further research is needed to explore these relationships across different patient populations.
    Creator/Author:
    Mira, Amna
    Submitter:
    Amna Mira
    Date Uploaded:
    02/05/2025
    Date Modified:
    02/05/2025
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Real-time control of radiofrequency ablation using three-dimensional ultrasound echo decorrelation imaging in normal and diseased ex vivo human liver

    Type:
    Dataset
    Description/Abstract:
    This data set contains ultrasound image, tissue ablation. and temperature data measured in the study reported in the article: Real-time control of radiofrequency ablation using three-dimensional ultrasound echo decorrelation imaging in normal and diseased ex vivo human liver Elmira Ghahramani, Peter D Grimm, Benjamin E Weiss, Nicholas S Schoenleb, Alexander J Knapp, Jiang Wang, Syed A Ahmad, Shimul A Shah, Ralph C Quillin III, Sameer H Patel Physics in Medicine and Biology, 2025  https://iopscience.iop.org/article/10.1088/1361-6560/adaacb To best understand and use this data set, please refer to this article. Files in the data set include: Annotated Excel spreadsheet containing summary data for all 109 trials in this study (12 preliminary trials, followed by 97 primary trials; see spreadsheet for variable listing): ExVivoHumanLiver_RFA_Decorrelation_SummaryData.xlsx CSV spreadsheet containing the same summary data without annotations: ExVivoHumanLiver_RFA_Decorrelation_SummaryData.csv MATLAB data file (version 7) containing the same summary data, within the structure variable 'summary': ExVivoHumanLiver_RFA_Decorrelation_SummaryData.mat Example MATLAB script demonstrating reading and some analysis of results from all trials, with PDF of code and its output: ExVivoHumanLiver_RFA_Decorrelation_ExampleScript.m ExVivoHumanLiver_RFA_Decorrelation_ExampleScript.pdf MATLAB data files (version 7) containing results from each trial: ExVivoHumanLiver_RFA_Decorrelation_RawData_Trial1.mat through ExVivoHumanLiver_RFA_Decorrelation_RawData_Trial109.mat. Each of these files contains the structure variable "rawdata", containing the following fields for each trial: segmented_ablation_zone: 60x60x60 logical array (step size 1 mm) of segmented liver tissue map (1=ablated, 0=unablated). Dimensions are (z,y,x) as defined in Ghahramani et al. (2025), with z being range from the transducer surface (horizontal in room coordinates), y the azimuthal array direction (horizontal in room coordinates), and x the elevational array direction (vertical in room coordinates). The RFA probe was placed with its tip approximately at the center of this volume, with its needle parallel to the x axis. IQ_echo_data: 60x60x60x2xN complex array containing beamformed, demodulated IQ (in-phase/quadrature) echo data interpolated onto the same grid. The array of echo volumes comprises N pairs (one pair acquired every 22 s), with the two volumes from each pair separated by the inter-frame time of 50 ms. instantaneous_decorrelation: 60x60x60xN real array containing echo decorrelation per ms (linear scale) computed for each frame pair, using the equation and methods from section 2.3 in Ghahramani et al. (2025). thermocouple_locations: 4x3 real array (same for each trial), with each row comprising the (z,y,x) coordinates (voxel indices within the 60x60x60 grid) of a corresponding thermocouple integrated into the RFA probe. thermocouple_temperatures: 4xM real array, with each row comprising the measured temperatures (degrees C) measured during ablation, synchronous with the last M ultrasound IQ and decorrelation frames of each trial (not available for trials 30, 78, 91, and 102-109). decorrelation_at_thermocouples: 4xM real array, with each row comprising the measured decorrelation per ms (linear scale) at each thermocouple location, synchronous with the last M ultrasound IQ and decorrelation frames of each trial.
    Creator/Author:
    Mast, T. Douglas
    Submitter:
    T. Douglas Mast
    Date Uploaded:
    02/04/2025
    Date Modified:
    06/04/2025
    Date Created:
    2025
    License:
    Attribution 4.0 International

  • DIGEST Stroke Validation

    Type:
    Dataset
    Description/Abstract:
    Raw data
    Creator/Author:
    Krekeler, Brittany
    Submitter:
    Brittany Krekeler
    Date Uploaded:
    01/30/2025
    Date Modified:
    01/30/2025
    Date Created:
    2025-01-30
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Vascular motion in the dorsal root ganglion sensed by Piezo2 in sensory neurons triggers episodic neuropathic pain

    Type:
    Dataset
    Description/Abstract:
    The dataset includes all the data used to generate figures for the article submitted to the journal of Neuron. This includes individual figure panels and the raw data used to generate each figure panel, as well as the statistical analyses for each experiment.
    Creator/Author:
    Zhang, Jun-Ming
    Submitter:
    Jun-Ming Zhang
    Date Uploaded:
    01/28/2025
    Date Modified:
    02/26/2025
    Date Created:
    2022-2025
    License:
    All rights reserved

  • methane emissions from natural gas streetlights in Cincinnati, Ohio

    Type:
    Dataset
    Description/Abstract:
    Methane emissions from natural gas streetlights. Measurements were made by Dr. Amy Townsend-Small and her students.
    Creator/Author:
    Townsend-Small, Amy
    Submitter:
    Amy Townsend-Small
    Date Uploaded:
    11/20/2024
    Date Modified:
    11/20/2024
    Date Created:
    2024-11-20
    License:
    Public Domain Mark 1.0

  • locations of natural gas streetlights in Cincinnati

    Type:
    Dataset
    Description/Abstract:
    Locations of natural gas streetlights in Cincinnati, Ohio
    Creator/Author:
    Townsend-Small, Amy
    Submitter:
    Amy Townsend-Small
    Date Uploaded:
    11/20/2024
    Date Modified:
    11/20/2024
    Date Created:
    2024-11-20
    License:
    Public Domain Mark 1.0

  • Review of Mammalian Auditory Capabilities: Electrophysiological Methodologies

    Type:
    Dataset
    Description/Abstract:
    Compilation of data extracted from electrophysiological hearing tests conducted on mammals.
    Creator/Author:
    Khudoykulova, Maftuna; Romancheck, Brittany, A.H.; Mendoza, Amber; Moore, Amanda, and Burns, Alexandra Mabley
    Submitter:
    Amanda Moore
    Date Uploaded:
    10/02/2024
    Date Modified:
    10/02/2024
    Date Created:
    2024-03-01
    License:
    Attribution 4.0 International

  • Goff MS Thesis Data and Code Chapter 1

    Type:
    Dataset
    Description/Abstract:
    Data and code for analysis of thermal constraints on flight for butterflies
    Creator/Author:
    Goff, Jennifer and Matter, Stephen F.
    Submitter:
    Stephen F. Matter
    Date Uploaded:
    09/01/2024
    Date Modified:
    09/01/2024
    Date Created:
    2024-6
    License:
    Attribution-NonCommercial 4.0 International

  • Cheetah (Acinonyx jubatus) Auditory Sensitivity from .125-10 kHz using Auditory Brainstem Response

    Type:
    Dataset
    Description/Abstract:
    The Auditory Brainstem Response (ABR) to gated tone burst of five frequencies (0.125, 0.5, 4, 8, 10 kHz) as well as broadband click stimuli were recorded in two cheetahs, one male and one female. We report, for the first time, hearing estimates from two cheetahs. Provided are the raw data files in PDF format and RPT format which is the file format used by the Intelligent Hearing System Universal Smart Box for analysis and to mark waves in order to obtain amplitude and latency of waves. Data were obtained for the female cheetah on February 1, 2024 and for the male cheetah on March 26, 2024 from the Cincinnati Zoo and Botanical Gardens.
    Creator/Author:
    Scheifele, Peter and Moore, Amanda
    Submitter:
    Amanda Moore
    Date Uploaded:
    04/24/2024
    Date Modified:
    04/24/2024
    Date Created:
    2024-02-01
    License:
    All rights reserved

  • Tongueometer Validation Data

    Type:
    Dataset
    Description/Abstract:
    ABSTRACT Purpose: Tongue manometry (i.e. tongue pressure measurement) is a commonly used assessment for patients with suspected oral-motor involvement in swallowing disorders. Availability of lingual manometry has changed in recent years, with the introduction of the TongueometerTM device being a more affordable tongue manometry system. The purpose of this study was to test concurrent (criterion) validity of the TongueometerTM compared to the current standard reference device, the Iowa Oral Performance Instrument, IOPI®. Method: Adults without dysphagia were recruited for participation in this study. Standard lingual measurements (swallowing-related pressures, maximum isometric pressure (MIP), and maximum isometric endurance) were recorded, with the bulb anteriorly placed, with both devices, in a randomized order. The Bland-Altman method was used to determine concurrent (criterion) validity of these measurements compared to the clinical standard IOPI® device. A recently available suggested corrective value by Curtis and colleagues (2023) was also applied, with comparisons made between devices both with and without the Curtis correction. Results: The final sample included 70 adult participants aged 20-89 years (average age 52.3 years). Measures with the TongueometerTM device were significantly lower when compared with the same measures taken using the IOPI® (p<0.01) for all measures including MIP, endurance, and swallow pressures. The correction suggested by Curtis and colleagues did not ameliorate these differences. Conclusions: The TongueometerTM lingual measurements were consistently lower compared to the IOPI®. Clinical use of values taken with the TongueometerTM device should be compared to normative data published for each specific device. Available features of each device (e.g. display, bulb texture, technology/application) should be considered when selecting which device to use with an individual patient. 
    Creator/Author:
    Krekeler, Brittany
    Submitter:
    Brittany Krekeler
    Date Uploaded:
    01/26/2024
    Date Modified:
    01/26/2024
    Date Created:
    2020-01-01
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Organizational Response to Emerging Threats: Lessons from NATO and the European Union’s Responses to Peacebuilding, Cyber Threats and Energy Security

    Type:
    Dataset
    Description/Abstract:
    "Organizational Response to Emerging Threats" is a project that addresses three separate threat areas -- cybersecurity, peacekeeping and energy security. The data collection for cybersecurity and energy security has been completed. As of June 2019, the data collection for peacekeeping is ongoing. The project documents are organized around three topics, reflected in the filenames -- cybersecurity, peacekeeping and energy security. The overall purpose/rationale of this research project is to develop a framework that explains how different international organizations (IOs) respond to various emerging threats in international relations. These threats can vary and include cybersecurity, energy security, food security, environmental security, and others. For the purpose of our study we focus on two major variables explaining organizational response: (1) IOs’ capacity to acquire and deploy organizational assets (also referred to as asset fungibility), and; (2) IOs’ ability to make swift decisions in response to changing internal and external environments. Drawing from primary sources including interviews with NATO and EU officials, we suggest a new model explaining when organizations are better equipped at addressing cyber threats, when they have capacity to response more effectively, and what they could do to improve their organizational responses in this area. The QDR repository contains interviews with policy makers and senior bureaucrats conducted in 2016, 2017, 2018 and 2019 in Brussels, Belgium, and the Hague, the Netherlands. These interviews have been conducted in person or over skype. Approval to conduct interviews has been granted by the University of Cincinnati's IRB (Study ID: 2018-3371.
    Creator/Author:
    Ivanov, Ivan
    Submitter:
    Ivan Ivanov
    Date Uploaded:
    10/20/2023
    Date Modified:
    10/20/2023
    Date Created:
    2019-07-22
    License:
    Attribution-ShareAlike 4.0 International

  • Retrospective Chart Review:Efficacy of methylprednisolone vs. triamcinolone used in lumbar epidural steroid injections

    Type:
    Dataset
    Description/Abstract:
    Retrospective chart review project of subjects receiving lumbar epidural steroid injections for low back pain associated with degenerative disc disease. The primary objective was to compare the efficacy of two different steroids used during the time period studied, methylprednisolone and triamcinolone.
    Creator/Author:
    Strong, Judith
    Submitter:
    Judith Strong
    Date Uploaded:
    08/24/2023
    Date Modified:
    08/15/2024
    Date Created:
    2023-08
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Microsatellite analysis of Invasive Wintercreeper (Euonymus fortunei), associated cultivars, and invasive E. alatus

    Type:
    Dataset
    Description/Abstract:
    This microsatellite dataset was constructed using eight microsatellite loci with 270 individual samples, representing wild population of Euonymus fortunei in Ohio, Kentucky, Kansas, and Minnesota. Also represented are multiple individuals from several Euonymus cultivars and also wild E. alatus (burning bush) from Ohio. This database is published as Elam RJ and Culley TM (2023) Genetic Analysis of Invasive Spread of Euonymus fortunei (Wintercreeper), a Popular Ornamental Groundcover. Invasive Plant Science and Management.
    Creator/Author:
    Culley, Theresa and Elam, Robert
    Submitter:
    Theresa Culley
    Date Uploaded:
    07/08/2023
    Date Modified:
    11/24/2023
    Date Created:
    2023-07-01
    License:
    Open Data Commons Attribution License (ODC-By)

  • Employing Strategies to Address Implicit Racial Bias in the Home Visit Setting

    Type:
    Dataset
    Description/Abstract:
    Data from qualitative study "Employing Strategies to Address Implicit Racial Bias in the Home Visit Setting" Includes: written reflections by FM residents, resident focus group data, commitments-to-change, and 3-month follow up survey data
    Creator/Author:
    Goroncy, Anna
    Submitter:
    Anna Goroncy
    Date Uploaded:
    03/03/2023
    Date Modified:
    03/03/2023
    Date Created:
    2020-01
    License:
    Open Data Commons Attribution License (ODC-By)

  • Wireless Sensor Monitoring Water Use at Fixtures

    Type:
    Dataset
    Description/Abstract:
    The Dataset contains raw data that indicates the start and stop time of water flowing at fixtures in the Marian Spencer Hall Cafeteria restroom during hours of operation. The data were collected as part of an effort to develop and test a novel method of measuring flow to calculate the probability that the fixture is busy (fixture p-value). The fixture p-value is one of the parameters necessary to predict peak demand in buildings for pipe sizing purposes. There are two .csv files, a README file and a sample of the data collection template with contact information. The dataset also contains a MATLAB code written to accept data in the suggested format and estimate the fixture probability of use.
    Creator/Author:
    Choudhary, Chandrashekhar ; Omaghomi, Toju; Buchberger, Steven; Wang, Tianshuo, and Tao, Li
    Submitter:
    Toju Omaghomi
    Date Uploaded:
    12/19/2022
    Date Modified:
    12/19/2022
    Date Created:
    2022-12
    License:
    Open Data Commons Open Database License (ODbL)

  • Coherence_Evaluations - nvl_pollution.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/12/2022
    Date Modified:
    11/12/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nvl_earth.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/12/2022
    Date Modified:
    11/12/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nvl_climate.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/12/2022
    Date Modified:
    11/12/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nvl_environmental.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/12/2022
    Date Modified:
    11/12/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • TV News Transcripts of Outer Space Coverage

    Type:
    Dataset
    Description/Abstract:
    Text and Metadata for 14,399 newspaper articles. Transcripts collected from Internet Archive Date Range: 2010-2022 File includes meta/data: - Unique-id (uid) - Title (incl. search term) - Date - Link (url) - Abstract - Text Text matching the following terms: - space explor* - space mission - space science - spaceship - space tour* - space transport* - spacecraft - space shuttle - outer space - astronom* - astrop* - astrona* - planet - NASA - star trek - star wars - lunar - space flight
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/12/2022
    Date Modified:
    11/12/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Newspaper coverage of Outer Space Theme

    Type:
    Dataset
    Description/Abstract:
    Text and Metadata for 9,061 newspaper articles. Newspapers included: New York Times, Wall Street Journal, & Washington Post Date Range: 2017-2022 File includes meta/data: - Unique-id (uid) - Title (incl. source paper & section name) - Date - Link (url) - Author - Text Text matching the following terms: - space explor* - space mission - space science - spaceship - space tour* - space transport* - spacecraft - space shuttle - outer space - astronom* - astrop* - astrona* - planet - NASA - star trek - star wars - lunar - space flight
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/12/2022
    Date Modified:
    11/12/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nvl_random5k.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/05/2022
    Date Modified:
    11/11/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - pmc_environmental.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/04/2022
    Date Modified:
    11/04/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - pmc_earth.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/04/2022
    Date Modified:
    11/04/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nws_environmental.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/04/2022
    Date Modified:
    11/04/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nws_random5k.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/04/2022
    Date Modified:
    11/04/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nws_pollution.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/03/2022
    Date Modified:
    11/17/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nws_earth.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/03/2022
    Date Modified:
    11/03/2022
    Date Created:
    2022
    License:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nws_climate.csv

    Type:
    Dataset
    Description/Abstract:
    CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/02/2022
    Date Modified:
    11/02/2022
    Date Created:
    2022
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Cincinnati Romance Review: Volume 53 (Fall 2022)

    Type:
    Dataset
    Description/Abstract:
    Volume 53 (Fall 2022) of Cincinnati Romance Review. It includes ten articles and four book reviews.
    Creator/Author:
    Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
    Submitter:
    Olga Sanz Casasnovas
    Date Uploaded:
    10/03/2022
    Date Modified:
    10/10/2022
    Date Created:
    2022
    License:
    Attribution 4.0 International

  • Cincinnati Romance Review: Volume 52 (Spring 2022)

    Type:
    Dataset
    Description/Abstract:
    Volume 52 (Spring 2022). Special Issue on José Saramago. Guest Editor: Carlos Nogueira (Cátedra José Saramago–UTAD / Cátedra José Saramago–Universidade de Vigo)
    Creator/Author:
    Valladares-Ruiz, Patricia and Sanz Casasnovas, Olga
    Submitter:
    Olga Sanz Casasnovas
    Date Uploaded:
    10/03/2022
    Date Modified:
    10/10/2022
    Date Created:
    2022
    License:
    Attribution 4.0 International

  • Cincinnati Romance Review: Volume 51 (Fall 2021)

    Type:
    Dataset
    Description/Abstract:
    Volume 51 (Fall 2021) - Cincinnati Romance Review. It includes fourteen articles and three book reviews.
    Creator/Author:
    Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
    Submitter:
    Olga Sanz Casasnovas
    Date Uploaded:
    10/03/2022
    Date Modified:
    10/10/2022
    Date Created:
    2021
    License:
    Attribution 4.0 International

  • Cincinnati Romance Review: Volume 50 (Spring 2021)

    Type:
    Dataset
    Description/Abstract:
    Monographic Issue: "El deporte en la literatura latinoamericana". Edited by Luis Miguel Estrada Orozco. It includes ten articles and two book reviews.
    Creator/Author:
    Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
    Submitter:
    Olga Sanz Casasnovas
    Date Uploaded:
    10/03/2022
    Date Modified:
    10/10/2022
    Date Created:
    2021
    License:
    Attribution 4.0 International

  • Cincinnati Romance Review: Volume 49 (Fall 2020)

    Type:
    Dataset
    Description/Abstract:
    Volume 49 (Fall 2020) of Cincinnati Romance Review. It includes six articles and five book reviews.
    Creator/Author:
    Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
    Submitter:
    Olga Sanz Casasnovas
    Date Uploaded:
    10/03/2022
    Date Modified:
    10/10/2022
    Date Created:
    2020
    License:
    Attribution 4.0 International

  • Cincinnati Romance Review: Volume 48 (Spring 2020)

    Type:
    Dataset
    Description/Abstract:
    Vol. 48 (Spring 2020), Cincinnati Romance Review. It includes eight articles and two book reviews.
    Creator/Author:
    Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
    Submitter:
    Olga Sanz Casasnovas
    Date Uploaded:
    10/01/2022
    Date Modified:
    10/10/2022
    Date Created:
    2020
    License:
    Attribution 4.0 International