Application of computer vision on laboratory sandbox investigations

This project is part of the Saline Intrusion in Coastal Aquifers (SALINA) research project. Data acquisition and analysis was conducted in Queen’s University Belfast (2019-2020). Funding was provided by EPSRC Standard Research (Grant No. EP/R019258/1). If you use Computer-Vision-Sandbox-Images as part of your workflow in a scientific publication, please consider citing the repository with the following DOI: Etsias, G.; Hamill, G.A.; Benner, E.M.; Águila, J.F.; McDonnell, M.C.; Flynn, R.; Ahmed, A.A. Optimizing Laboratory Investigations of Saline Intrusion by Incorporating Machine Learning Techniques. Water 2020, 12, 2996. DOI: 10.3390/w12112996

Vector data for a selection of WW2 military airfields in Northern Ireland

Shapefiles containing vector data for a selection of WW2 military airfields in Northern Ireland. Data digitised from site plans available from the RAF Museum in Hendon (https://www.rafmuseum.org.uk/research/research-enquiries/). Airfields include: Aldergrove, Ardboe, Ballyhalbert, Ballykelly, Bishops Court, Greencastle and Toome. Data also available on ArcGIS Online (https://www.arcgis.com/index.html)

Oral history gathered From residents in Ardboe, County Tyrone, Northern Ireland

Transcript of interviews, which include discussion on places around Ardboe and the surrounding area including Trickvallen Road, Mullanahoe, Stevenstown, The Diamond, Albany, Bornamona, Clagan, Monachmore, Turnen Road, Moortown, the Battery, Kinturk, Dungannon, Magherafelt and Cookstown. Emigration to Australia and America are also mentioned. Subjects born 1940s onwards. Topics include education, work, social life and the former WW2 military airfield at Cluntoe

TarxienCore Maltese temples alignment data and raw code

Script and data associated with the TarxienCore project. TarxienCore is a unity3D script that is used to calculate the position of astronomical bodies and identify alignments with archaeological sites. The script is based on calculations by Meeus', contained in his work Astronomical Algoriths (1987). Within these folder the following data can be found: Alignment Data.ZIP - this folder contains the raw data associated with the astronomical alignments of Neolithic Malta. For each Maltese temples, the alignments with cosmological bodies is presented for every 300 years between 3600 BC and 2100 BC. The data can be used to identify patterns of alignment. TarxienCore.cs - the raw code used for the TarxienCore project. The code positions astronomical bodies based on the date inputted, and records when an alignmnent occurs within a 3D model of the archaeological site. For more information on application of the software, please contact the author directly. The dataset connects to the raw files held in Github. These won't be open until after 31 July 2023. Visibility settings in Github will connect to a 404 error message until the

The Geographical Data Science of Population Flows

This is the code produced in stages by Lorraine Barry for undertaking regionalization, spatial interaction modelling, factor analysis and elements of geovisualization as part of a PhD in the Geographical Data Science of Population Flows. The methodolody is based on the creation of fit for purpose regions with the application of spatial interaction modelling and factor analysis to evaluation the demographic tendencies of interaction data notably commuting flows with reference to the example of Northern Ireland. Data sources are the UK Census 2001 and Census 2011 origin destination journey to work datasets at super output area level and ward level, together with key demographic variables from the Census 2011 and 2001. Due to safeguarded use of the journey to work data, core origin destination data files are not made available as part of this public hosting of the methodology. Stage 2 of the thesis methodology is regionalization which aims to create fit for purpose regions based on the aggregation of ward or super output area census boundaries. It makes use of the Python Spatial Analysis Library (PySAL) notably the pysal.region module, as developed at https://github.com/pysal (PYSAL DEVELOPERS(2014-) and REY, S.(., 2009-. PySAL. Revision 2a9218fe. edn. Github. ) Stage 3 of the thesis methodology is demographic data preparation and linkage. It prepares demographic data, variables and flow counts for the geography created at stage 2. This is a necessary linking stage between stage 2 regionalization and stage 4 spatial interaction modelling and it thus creates a seamless flow between the two processes negating the need to switch between software packages. Stage 4 of the metholody is spatial interaction modelling based on the psyal.spint module (reference as above). It seeks to analyse the spatial interaction between origins and destinations of regions as set out in stage 2 regionalization based on a set of eight demographic explanatory variables for the precentage of employees within NSEC professional levels 1-3; the percentage of households with no car; deprivation rank; number of jobs; percentage Catholic difference between origin and destination; population density, number of workers; and road distance to nearest employment centre. Stage 5 relates to factor analysis and correlation analysis on the modelled coefficients from stage 4 spatial interaction modelling. It aims to draw out broad tendencies on the demographics of commuting based on the spatial interactions of created regionalizations. Correlation analysis is undertaken using the python package sklearn https://github.com/scikit-learn/scikit-learn and factor analysis is undertaken using factanal library https://www.rdocumentation.org/packages/stats/versions/3.5.1/topics/factanal and nFactors library https://cran.r-project.org/web/packages/nFactors/nFactors.pdf within R. This code provides a seamless flow between the creation of regions more suited to the analysis of interaction data and the use of those regions to understand the demographic tendencies of flows. This research draws on coding inspiration from Taylor Oshan 2016 and Adam Dennett 2017

Dataset from thesis entitled "Disease in the Cretaceous: A comparative study of Iguanodon and hadrosaur palaeopathology"

The following dataset represents the list of material and supplementary analyses for the thesis entitled “Disease in the Cretaceous - A Comparative Study of Iguanodon and Hadrosaur Palaeopathology”, reporting all the specimens from the visited museum collections and those published in the literature. Appendix 1 is a list of all the palaeopathological specimens known from the ornithopod literature, subdivided in 11 body parts. Appendices 2 to 4 represent the complete list of studied material, added to the literature revision, that describes each pathological element in the three morphotypes (corresponding to basal (e.g. Dryosaurus), “intermediate” (e.g. Iguanodon) and derived ornithopods e.g. (Edmontosaurus)). The specimens are subdivided into 16 body parts, as their identification was done personally, helping to discern between, for example, middle to distal caudals. Graphical representations are proposed at the end of each appendix. In Appendix 5, specimens belonging to Morphotype C from four museum collections are compared to each other, treated as different “populations”, with graphical distributions and codification for the linear regression, the latter done in the software SPSS. Appendix 6 is a complete schematical description of all caudal vertebrae from Morphotype C, reporting measurements and type of injuries/deformations. Although the studied specimens are listed in Appendix 2 to 4, their osteology is extensively described in Appendix 7, grouped per body regions between the three morphotypes. Some of the most peculiar and/or uncertain specimens were scanned via a microCT device, and their descriptions are reported in Appendix 8. A wide number of caudal neural spines from Appendix 4 are extensively described in Appendix 9 and listed in tables together with the angulation of the bending of the pathological spines. The final Appendix 10 corresponds to the published article about the palaeopathologies detected in the holotype of Parasaurolophus walkeri during the collection visit at the Royal Ontario Museum (Canada). The palaeopathological analysis provided an unexpected reevaluation of the neck musculature of the species. Included below is a list of the current filenames of the dataset and the corresponding thesis chapter in which they first appeared with original short file name: Appendix1: List of the published palaeopathological specimens in ornithopoda = Appendix1_Chapter2_Published_pathologies Appendix 2: List of palaeopathological specimens recognised in basal ornithopods (e.g. Dryosaurus) = Appendix2_Chapter3_MorphotypeA Appendix 3: List of palaeopathological specimens recognised in “intermediate” ornithopods (e.g. Iguanodon) = Appendix3_Chapter3_MorphotypeB Appendix 4: List of palaeopathological specimens recognised in derived ornithopods (e.g. Edmontosaurus) = Appendix4_Chapter3_MorphotypeC Appendix 5: Statistical overview and analysis of four museum collections of hadrosaurid specimens = Appendix5_Chapter3_Analysis Appendix 6: Schematical description of hadrosaurid caudal vertebrae = Appendix6_Chapter3_CaudalVertebrae Appendix 7: Osteological and pathological description of the palaeopathological specimens from the three morphotypes = Appendix7_Chapter3_DescriptionPathologicalBones Appendix 8: Internal anatomy of hadrosaurid pathological bones using microtomographic scanning = Appendix8_Chapter3_CTscans Appendix 9: Isolated caudal neural spines: Osteological description, pathologies and measurements = Appendix9_Chapter5_DescriptionMatingInjuries Appendix 10: Publication about the palaeopathological description of the injuries in the holotype of Parasaurolophus walkeri = Appendix10_Bertozzo et al 2020 The current dataset files are embargoed until 31 Dec 2026

Tree ring-width data Drumclay alder chronology

This data consists of the tree-ring measurements from alder timbers from Drumclay crannog, Co. Fermanagh. Between 2012 and 2013 an archaeological excavation was carried out which revealed almost 7 m of vertical archaeological stratigraphy. A large quantity of wood samples were retrieved from these waterlogged deposits. This data consists of the tree-ring measurements that were used to build an alder chronology for this early medieval site. Each file contains ring-width data from a sample or samples from archaeological contexts from Drumclay crannog. The contexts are signified as CXXXX while the samples appear as QXXXXXX. This data was collected and produced between 2017 and 2020 using a Nikon SMZ800 stereoscopic zoom microscope and TSAPWin software (Rinn 2003). Note that this data was conducted as part of a PhD entitled "Drumclay: a tree-ring dated narrative for an Irish crannog." This dataset record is connected to the corresponding e-thesis record here in Queen's Research Portal. The dataset is embargoed until 1 July 2027

Interviews and public events with key stakeholders in the Irish energy transition

This dataset includes transcriptions of 9 interviews and 13 public event recordings with key stakeholders in the Irish energy transition collected for the PhD research project 'Governance of Public Involvement in the Energy System Transition: Insights from Ireland and Scotland' (Määttä, 2022). To access the data, email [email protected]. The semi-structured interviews discuss key goals and challenges, collaboration, public participation, energy policy, and the future with key stakeholders in the Irish energy transition. The interview participants included policymakers, renewable energy industry experts, energy agency experts, and members of community groups and community energy projects. During the COVID-19 pandemic, in-person events usually taking place in the Irish energy transition processes were moved online and put on YouTube or other public websites. This opened the events to the public and more diverse participants. This novel source of data was a result of the world changing due to the pandemic, and the impact of social distancing and lockdowns. The events include events held by governmental organisations, the renewable energy industry, energy agencies, advocacy groups, and community energy support groups. The events include discussions on diverse topics, such as community energy, community benefits, the planning system, community engagement, and public participation. Dataset is embargoed until 31 December 2025. Files available in PDF formats

Interviews and public events with key stakeholders in the Scottish energy transition

This dataset includes transcriptions of 12 interviews and 7 public event recordings with key stakeholders in the Scottish energy transition collected for the PhD research project 'Governance of Public Involvement in the Energy System Transition: Insights from Ireland and Scotland' (Määttä, 2022). To access the data, email [email protected]. The semi-structured interviews discuss key goals and challenges, collaboration, public participation, behavioural change, onshore and offshore wind, hydro, energy policy, and the future with key stakeholders in the Irish energy transition. The interview participants included policymakers and advisors, renewable energy industry experts, energy agency experts, and members of community groups and community energy projects. During the COVID-19 pandemic, in-person events usually taking place in the Scottish energy transition processes were moved online and put on YouTube or other public websites. This opened the events to the public and more diverse participants. This novel source of data was a result of the world changing due to the pandemic, and the impact of social distancing and lockdowns. The events include events held by governmental organisations, the renewable energy industry, advocacy groups, and community energy support organisations. The events include discussion on diverse topics, such as community energy, community benefits, The Scottish Government’s Community and Renewable Energy Scheme (CARES), shared ownership, the planning system, community engagement, public participation, and the climate crisis. Dataset is available in PDF format. The files are embargoed until 31 December 2025

Townland analysis across the estates of the Lucht Tighe and the Fews

To understand the late medieval Gaelic landscape, it is essential to conduct a landscape archaeology study at a townland level. This dataset covers the townlands that make up the late medieval estates within the Lucht Tighe, County Tyrone, and the Fews, County Armagh. The townlands can be identified on the 1609 Bodley maps and can be matched to those still in existence. The townland etymology was investigated, along with cartographic evidence from the Bodley maps, the 1st and 2nd Ordnance Survey Maps along with modern ordnance maps, aerial imagery and identified Sites and Monuments. This allows to researcher to identify possible habitation patterns. Each townland has been mapped and possible new sites have also been identified. Please note that this dataset appears as volume 2 of the PhD thesis entitled "Cultural landscapes of late medieval Gaelic Ulster" (2022). Dataset is embargoed until 31 July 202