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101
Table 1_sendigR: an R package to leverage the value of CDISC SEND datasets for cross-study analysis.docx
Published 2024“…The sendigR package also includes an integrated Python package, xptcleaner, which can be used to harmonize the terminology used in SEND datasets by mapping to CDISC controlled terminologies. …”
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102
Image 4_sendigR: an R package to leverage the value of CDISC SEND datasets for cross-study analysis.jpeg
Published 2024“…The sendigR package also includes an integrated Python package, xptcleaner, which can be used to harmonize the terminology used in SEND datasets by mapping to CDISC controlled terminologies. …”
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103
Image 2_sendigR: an R package to leverage the value of CDISC SEND datasets for cross-study analysis.jpeg
Published 2024“…The sendigR package also includes an integrated Python package, xptcleaner, which can be used to harmonize the terminology used in SEND datasets by mapping to CDISC controlled terminologies. …”
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104
Image 1_sendigR: an R package to leverage the value of CDISC SEND datasets for cross-study analysis.jpeg
Published 2024“…The sendigR package also includes an integrated Python package, xptcleaner, which can be used to harmonize the terminology used in SEND datasets by mapping to CDISC controlled terminologies. …”
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105
Image 5_sendigR: an R package to leverage the value of CDISC SEND datasets for cross-study analysis.jpeg
Published 2024“…The sendigR package also includes an integrated Python package, xptcleaner, which can be used to harmonize the terminology used in SEND datasets by mapping to CDISC controlled terminologies. …”
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106
Image 3_sendigR: an R package to leverage the value of CDISC SEND datasets for cross-study analysis.jpeg
Published 2024“…The sendigR package also includes an integrated Python package, xptcleaner, which can be used to harmonize the terminology used in SEND datasets by mapping to CDISC controlled terminologies. …”
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107
Dataset – Student & Early-Career Survey on Data-Analytics Tool Adoption and Decision-Making (Uzbekistan, Apr–May 2025)
Published 2025“…</i> Items operationalise seven UTAUT/TAM-based constructs: Performance Expectancy, Effort Expectancy, Behavioural Intention, Familiarity & Usage, Task–Technology Fit, Barriers to Adoption, plus Demographics (age, gender, study programme, prior stats courses, work experience). All Likert items use a five-point scale.…”
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108
MSc Personalised Medicine at Ulster University
Published 2025“…Both full-time and part-time programmes have two intakes and can be started in September or January.…”
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109
Top Causes of Death in Mexico (1998-2023)
Published 2025“…<p dir="ltr">This project provides a Python script and a comprehensive dataset for generating pyramid charts that visualize the top 30 causes of death in Mexico, disaggregated by sex. …”
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110
Nautilus digital score (Win & Mac)
Published 2022“…</p> <p><br></p> <p>Personnel</p> <p><br></p> <p>Carla Rees – Bass Flute, performer https://www.carlarees.co.uk/</p> <p><br></p> <p>Adam Stephenson – Unity developer https://www.adam-stephenson.co.uk/</p> <p><br></p> <p>Craig Vear – Python programmer, composer</p>…”
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111
Annotated free paraphrases and difficulty of interpretation for 45 novel English noun-noun compounds
Published 2020“…</div><div><br></div><div>The study was designed as a computer-based questionnaire, presented using a Python 3 script. For each compound, participants were first asked ‘What does [COMPOUND] mean?’. …”
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112
ALFA: A Dataset for UAV Fault and Anomaly Detection
Published 2020“…We have also provided the helper tools in several programming languages to load and work with the data and to help the evaluation of a detection method using the dataset. …”
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113
The China industrial water withdrawal Dataset (CIWW) —a gridded monthly industrial water withdrawal data in China from 1965 to 2020.
Published 2024“…</p><p dir="ltr">c) The NetCDF format CIWW dataset can be easily opened by any programing language with NetCDF capabilities, for example, the <i>xarry</i> package in Python, Matlab, R, and others).…”
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114
DataSheet_1_Prediction of Locoregional Recurrence-Free Survival of Oesophageal Squamous Cell Carcinoma After Chemoradiotherapy Based on an Enhanced CT-Based Radiomics Model.docx
Published 2021“…The enhanced computed tomography scan images of the patients were imported into 3D-slicer software (version 4.8.1), and the radiomic features were extracted by the Python programme package. In the training group, the dimensionality reduction of the radiomic features was implemented by Lasso regression, and then a radiological label, the model of predicting LRFS, was established and evaluated. …”
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115
Processing Calcium Signaling Fluorescence Microscopy Image Stacks
Published 2020“…Initial analysis of an experiment can now be done in under twenty minutes. The notebooks are used by lab staff in a “cookbook” like fashion with very little training required. …”
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116
Research Bazaar 2018 – Highlights, insights, and what can we learn from each other?
Published 2019“…I welcome the audience who have organised similar programmes to share their experiences, ideas and thoughts. …”
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117
MO-DM (Motivation-Oriented Decision-Making) V2
Published 2024“…</p><p dir="ltr">Considering, as an example, a common and trivial decision: which programming language will be used in the project?</p><p dir="ltr">Each student will evaluate the possible options (Java, C#, Python, C, Java Script) by assigning one to six stars for each EVC dimension. …”
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118
Upskilling researchers in Machine Learning
Published 2024“…</p><p dir="ltr">Dr Murray Cadzow is a Scientific Programmer within Research Teaching IT Support at the University of Otago. …”
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119
Decoding fairness motivations - repository
Published 2020“…</div><div> In the non-social control condition (24 trials), participants played against a computer algorithm, allegedly programmed to mimic human behaviour. </div><div>Again, half of the trials in the control condition were UG trials and the other half DG trials. …”