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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 an 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 accepted for publication and this site is included in that article with a link to this permanent (DOI) publication site. 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:
    11/13/2025
    Date Created:
    March 15, 2025
    License:
    Public Domain Mark 1.0

  • 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

  • Meteorological Data Jumpingpound Ridge

    Type:
    Dataset
    Description/Abstract:
    Meteorological data from an Onset tower including shielded air temperature, photosynthetically active radiation (PAR), relative humidity, wind speed and direction, and rainfall collected every 15 min. The location is 50.9583N, -114.8809W, alt 2083m The station is still operational and files will be updated after manual yearly downloads.
    Creator/Author:
    Matter, Steve
    Submitter:
    Stephen F. Matter
    Date Uploaded:
    10/07/2015
    Date Modified:
    08/20/2025
    Date Created:
    2010-10
    License:
    Attribution-NonCommercial 4.0 International

  • A versatile near-infrared fluorescent probe for fast assessment of lysosomal status via a large multimodal model

    Type:
    Image
    Description/Abstract:
    These are original images for a new paper. This paper will be published soon.
    Creator/Author:
    Chen, Rui
    Submitter:
    Rui Chen
    Date Uploaded:
    06/23/2025
    Date Modified:
    06/23/2025
    License:
    Open Data Commons Open Database License (ODbL)

  • 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)

  • 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

  • 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)

  • 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

  • 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

  • Introduction

    Type:
    Article
    Description/Abstract:
    -
    Creator/Author:
    Mattza, Carmela and Commack, Whitney
    Submitter:
    Jeffrey Loveland
    Date Uploaded:
    10/12/2020
    Date Modified:
    08/28/2024
    Date Created:
    2003
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Senior Project, Book

    Type:
    Document
    Description/Abstract:
    Forest settings can provide emotional and physical stimulation that can effectively calm the nervous system and regulate responses to the effects of trauma. By exposing a population to a nearby temperate forest, measures can be made regarding the overall reaction to being in the presence of a forest specific environment. It is expected that the response to the experiences of forest engagement and exposure will present positive and increase the overall well-being of participants.
    Creator/Author:
    Adams, Margaret
    Submitter:
    Margaret Adams
    Date Uploaded:
    04/04/2024
    Date Modified:
    04/04/2024
    Date Created:
    04/4/2024
    License:
    All rights reserved

  • 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)

  • NATO and the European Union’s Response to Peacebuilding

    Type:
    Dataset
    Description/Abstract:
    The NATO and the EU Peacebuilding Missions Dataset is created to use fuzzy seta Qualitative Comparative Analysis (fsQCA) analysis as a method of researching how NATO and the EU missions’ outcomes are influences by organizational assets and decision-making in both organizations. Outcome pertaining to these two sets of missions are intended to measure various aspects of organizational efficacy. There are two groups of variables – condition variables and outcome variables. In the next few sections, we will explain how these two groups of variables were generated, what existing sources and datasets were used and how mission indicators were generated. See attached research note for more detailed information. Condition Sets: Description By and large, conditions sets that have been generated measure organizational assets for these NATO and EU missions, as well as patterns in their decision-making process. Two critical organizational assets used for both sets of missions are their annual operational budget and their annual deployed personnel. The dataset contains two control variables measuring operational legitimacy – number of contributing nations and number of UN resolutions passed in relevance to the situation in the area of deployment for the duration of the EU and NATO Mission. Operational Duration – duration of the operation (in months). For ongoing missions and operations, we have used December 31, 2019 as the end date. All data reflect occurrences no later than December 31, 2019. Type of Operation – based on their mandate, operations are classified as civilian (coded as 0), military (coded as 1) and hybrid (i.e. with military and civilian components, coded as 0.5). Annual Operational Budget – total annual mission budget in USD. Sources include SIPRI yearbook and peace operations database. In cases of missing data from the SIPRI yearbook, mission factsheets and original data from the mission have been used. This latter technique applies for the following missions: AMUK, AVSEC, BAM1, BAM2, CAP1, CAP2, MAM1, NAVF1, NAVF2, TMC1, EUAMI. If data is reported in EUR, average exchange rate for the duration of the mission has been used to convert the cost. Data has been adjusted to reflect operational budget over a 12-month period. Average Annual Mission Personnel – it reflects the average total number of personnel/ staff supporting the NATO or EU peacebuilding mission per annum. Sources have been collected from SIPRI yearbook based on reportings for actual deployments on the ground. In cases when no data has been reported I the SIPRI yearbook/ peace operations dataset, mission factsheets and original data from the mission have been used. The data has been averaged and adjusted for a 12-month period. Days to Launch – describes the number of days needed from the time a decision has been made by the IO top decision-making body (the European Council and NAC) to launch the mission to the time that the mission is officially declared “operational.” If no declaration that the mission is “fully operational” exists, landmark indicators that the mission is fully operational include: ceremony on the ground marking the beginning of the mission, the appointment of mission commander or first recoded operational presence involving activity on the ground. Sources include official EU and NATO documents announcing the decision to create the peacebuilding operation as well as official documents, press releases and reports in reliable media outlets (including New Agencies) documenting an event that would indicate the mission is “fully operational.” Number of Contributing Nations –highest reported number of contributing nations for the duration of the NATO and the EU peacebuilding operation. UN Security Council Resolutions – total number of UN Security Council (UNSG) resolutions relevant for the area of conflict adopted for the duration of the NATO and the EU mission. In cases when UNSC resolutions are relevant for multiple NATO and EU peacebuilding missions those have been reported to all relevant missions. Outcome Sets: Description Outcome sets include various indicators created to measure operational efficacy. They include annual events contributing toward peace, conflict and the mission’s functioning, annual fatalities and annual deaths among mission personnel, as well as annual difference in fatalities. A more detailed description of these indicators is included below: Annual Peace Events – this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that have contributed for the peace process in the conflict area where NATO and EU mission have been deployed. Examples of peace events include steps taken to contribute to the peace process (e.g. creation of buffer zone, cession of hostilities, meeting intended to cease fire or set up the peace process, political events related to or contributing toward the peace process and successful conclusion of a peace agreement. It may also include a decision of an international body (e.g. UN Security Council, UN General Assembly or UN Secretary General, as well as a decision made by the NATO and the EU D-M bodies that contributes toward the peace process in the areas where the mission operates. For ongoing missions is December 31, 2019 the last date when annual peace events are recoded. Annual Conflict Events -- this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that have increased the conflict and the conflict potential in the area where NATO and EU mission have been deployed. Instances include resumption of hostilities among warring parties, occurrence of attacks, clashes, eruption of violence, the killing of civilians, military and peacemaking personnel and other violence-related events that contribute toward instability in the mission’s area. For ongoing missions is December 31, 2019 the last date when annual conflict events are recoded. Annual Mission-related Events -- this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that measures events related to functioning of the mission – the decision to launch, the actual launch, implementation, transfer of authority and/ or mandate, transformation and termination of the mission. It also includes events that reflect decisions made by the contributing nations or sponsoring IOs intended to impact mission’s performances (e.g. decisions related to funding, control and command, transformation of mission mandate and rules and other similar events). For ongoing missions is December 31, 2019 the last date when annual mission-related events are recoded. Average Annual Fatalities – this indicator reports how many average annual civilian deaths have been recorded for the duration of the mission. The data is drawn from the Armed Conflict Dataset (ACD) managed by the London-based International Institute for Strategic Studies ( https://acd.iiss.org/member/datatools.aspx). Average Annual Mission Casualties – average annual number of deaths among peacebuilding personnel as reported in SIPRI yearbook/ peace operations database for the duration of the mission. Authors have used discretion to determine the accuracy in cases when there is discrepancy of reported data. Fatalities Annual Difference – an indicator of differenced annual data of civilian casualties on the ground for the duration of the mission. The indicator is calculated as follows: Differenced Fatalities = Ʃ (CasualtiesY1-Y2 … Casualties Yn-Y(n-1))/ Duration of the mission (in years). It is intended to capture improvement of situation on the ground as a result of presence of the peacebuilding effort. Condition Sets: Calibration and Rationale Annual Operational Budget – mission budget reflects resources USD 5 million or less indicate fully out while USD 100 million or more would indicate fully in. A budget of USD 30 should be the watershed borderline of “nether in, not out.” [5-100 million] Average Annual Mission Personnel – this indicator draws distinction between larger well-resourced missions and smaller missions with limited assets. By and large, missions with 20 personnel or less are fully out, while those with 20,000 or more are fully in. The borderline (net hither in, not out) is 130 people. Days to Launch – the speed with which the decision is taken indicates how decision-making operated in the case of this mission. D-M that took 5 days or less should be fully out (in, change direction) while D-M 150 days or more should be fully in (out, change direction). 30 days (1 month) should be the neither in, nor out border. Number of Contributing Nations –control indicator that demotes how high number of contributing nations contribute toward greater legitimacy (30 or more countries marks fully in), while 5 or fewer nations marks fully out. The “nether fully in, nor fully out” is at 15 nations. UN Security Council Resolutions – total number of UNSC resolutions can vary, fully out is at 0 resolutions while fully in at 50 or more. Since moist of the missions are shorter, Nether fully in, not fully out would be at 8 UNSC resolutions. [Inductive] Operational Duration – 1 year (12 months) denotes fully out (i.e. short-term mission) while 10 year 120 months denotes fully in; nether in not out would be for missions lasting 5 years (60 months). In other words, a decade is too long, a year is to short, five years is in the middle. Outcome Variables: Calibration and Rationale Annual Peace Events – this variable measures the occurrence of peace-related events – 0 events per annum is fully out; 3 events per annum is fully in. 0.8 event is nether in not out. Annual Conflict Events -- this variable measures the occurrence of conflict-related events – 0 events per annum is fully out; 4 events per annum is fully in. 1 event is nether in not out. Annual Mission-related Events -- this variable measures the occurrence of peace-related events – 0 events per annum is fully out; 1 events per annum is fully in. 0.3 event is nether in not out. Average Annual Fatalities – this set measures average number of annual fatalities for the duration of the mission. Cases with 0 fatalities are fully out; cases with 10,000 fatalities are fully in. 1,000 fatalities represent “nether in, not out” value. Fatalities Annual Difference – this is an indicator that measures the average year-to-year difference in number of fatalities for the duration of the conflict. -50 casualties is fully out (i.e. average growth of casualties by 50 per annum) as this indicator reflects low mission efficacy. 500 is fully in. This number indicates high efficacy; it denotes an average annual decline of casualties by 500 people. If the average number of casualties remains unchanged, then 0 denotes nether in, nor out. Average Annual Mission Casualties – this indicator measures average number of annual casualties for the duration of the mission. 0 casualties is fully out; 500 casualties is fully in. 0.5 is nether in, nor out.
    Creator/Author:
    Ivanov, Ivan
    Submitter:
    Ivan Ivanov
    Date Uploaded:
    08/04/2019
    Date Modified:
    11/08/2023
    Date Created:
    2019-08-01
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Modelling sex roles in animals using life-history traits and population characteristics

    Type:
    Student Work
    Description/Abstract:
    Code for modelling sex roles in animals using life-history traits and population characteristics.
    Creator/Author:
    Samuel, Justine
    Submitter:
    Justine Samuel
    Date Uploaded:
    11/07/2023
    Date Modified:
    11/07/2023
    License:
    All rights reserved

  • 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

  • Ecologue_6-2_Fall_1995.pdf

    Type:
    Document
    Description/Abstract:
    Ecologue newsletters (1990-2008). Originally subtitled "A Newsletter for Environmental Advocacy," this mail-out newsletter provided vital news and information to interested readers concerning the emerging field of environmental communication, the Conference on Communication and Environment, and the formation of a new commission (then Division) within the National Communication Association. Editors included Robert Cox (1990), Carol Corbin (1991-92), Michael Netzley (1993-95), Star Muir (1997), Terence Check (1999-2000), and Tracy Milburn (2007-08).
    Creator/Author:
    Depoe, Steve
    Submitter:
    Steve Depoe
    Date Uploaded:
    10/13/2023
    Date Modified:
    10/13/2023
    Date Created:
    2023
    License:
    All rights reserved

  • Ecologue_7-3_Summer_1998.pdf

    Type:
    Document
    Description/Abstract:
    Ecologue newsletters (1990-2008). Originally subtitled "A Newsletter for Environmental Advocacy," this mail-out newsletter provided vital news and information to interested readers concerning the emerging field of environmental communication, the Conference on Communication and Environment, and the formation of a new commission (then Division) within the National Communication Association. Editors included Robert Cox (1990), Carol Corbin (1991-92), Michael Netzley (1993-95), Star Muir (1997), Terence Check (1999-2000), and Tracy Milburn (2007-08).
    Creator/Author:
    Depoe, Steve
    Submitter:
    Steve Depoe
    Date Uploaded:
    10/13/2023
    Date Modified:
    10/13/2023
    Date Created:
    2023
    License:
    All rights reserved

  • Ecologue_Fall_2008.pdf

    Type:
    Document
    Description/Abstract:
    Ecologue newsletters (1990-2008). Originally subtitled "A Newsletter for Environmental Advocacy," this mail-out newsletter provided vital news and information to interested readers concerning the emerging field of environmental communication, the Conference on Communication and Environment, and the formation of a new commission (then Division) within the National Communication Association. Editors included Robert Cox (1990), Carol Corbin (1991-92), Michael Netzley (1993-95), Star Muir (1997), Terence Check (1999-2000), and Tracy Milburn (2007-08).
    Creator/Author:
    Depoe, Steve
    Submitter:
    Steve Depoe
    Date Uploaded:
    10/13/2023
    Date Modified:
    10/13/2023
    Date Created:
    2023
    License:
    All rights reserved