Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
255
datasets available to search
ShareScore release 0.9.0
Dataset results
255 results for “Problem solving”
Image Data Part 2 of AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem
<p>Image Data Part 2 of AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem</p> <p>Paper: <a href="https://ieeexplore.ieee.org/document/9497733/">https://ieeexplore.ieee.org/document/9497733/</a></p>
Image Data Part 3 of AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem
<p>Image Data Part 3 of AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem</p> <p><a href="https://ieeexplore.ieee.org/document/9497733/">Paper</a>: https://ieeexplore.ieee.org/document/9497733/</p> <p> </p> <p>Other two parts: <a href="https://zenodo.org/record/5903099">Part 1</a>, <a href="https://zenodo.org/record/5903846">Part 2</a></p> <p> </p> <p> </p>
Pretest and posttest data for nurses' empathy and problem solving
<p><span>Service design is an innovative tool to improve the quality of patient experience and, therefore, it is necessary to have nurses who can implement service design. </span><span>The aim of this study was to implement a training program for patient experience-based nursing service design (PEN-SD) and examine the effects of the program on clinical nurses' compassion and problem-solving ability</span><span>.</span> <span>This study employed mixed methods: a one-group, pretest-posttest design was used as the quantitative approach and structured interviews as the qualitative approach. Twenty-one</span><span> nurses</span><span> were recruited</span><span> from </span><span>a</span><span> university hospital in Korea. A PEN-SD training program was conducted from September 1 to October 6, 2018</span><span>.</span> <span>After the training program, the participants' compassion significantly improved (<em>p</em> = .025) but there was no significant difference in terms of their problem-solving ability </span><span>(<em>p</em> = .313). </span><span>In the structured interviews, the participants' most common response (<em>n</em> = 17) was that they were able to consider problems from the patient's perspective. They also reported identifying solutions to problems through careful observation (<em>n</em> = 5)</span><span>. </span><span>This research is an innovative attempt to introduce a service design in the nursing field. </span><span>The PEN-SD training program was effective in improving compassion among nurses as a service development method to provide the best nursing services reflecting patients' experiences.</span></p>
Results outputs for "Beyond the Hype: Identifying and Analyzing Math Word Problem-Solving Challenges for Large Language Models"
<p>The provided files contain outputs generated by various Large Language Models (LLMs) for solving problems in the SVAMP dataset. Additionally, they include tagged statements of problems that LLMs incorrectly resolved.</p> <p>This repository includes the following two files:</p> <ul> <li>all_data.json --> Contains the generated samples for the SVAMP dataset.</li> <li>df_combined.pkl --> Contains the tagged SVAMP statements of problems that CodeLlama failed to resolve.</li> </ul>
Invention and application of epoch of Kifilideen's Sum Formula for Kifilideen's General Matrix Progression Series of infinite terms in solving real-world problems
<p>*Sharing a Notable Achievement* I am honored to announce that my research paper, titled 'Invention and Application of Epoch of Kifilideen’s Sum Formula for Kifilideen’s General Matrix Progression Series of Infinite Terms in Solving Real-World Problems,' was among the three papers selected by the College of Engineering (COLENG) for presentation at the recent Science and Technology Fair/Exhibition organized by Bells University of Technology, Ota, Ogun State, Nigeria, on October 28, 2024. I am delighted to share that COLENG secured the first position in the Inter-Collegiate poster competition, a testament to the outstanding collective efforts of our researchers, staff, and team members who contributed to the success. I extend my gratitude to the Dean of Engineering for his exceptional leadership and guidance, which played a pivotal role in this achievement. Congratulations to my colleagues whose papers were also presented, and to everyone who contributed to this success. Award Recognition Sincerely, Engr. Dr. Kifilideen Lekan OSANYINPEJU Agricultural and Bio-System Engineering College of Engineering Bells University of Technology, Ota, Ogun State, Nigeria</p>
Sensing a priori constraints in DNNs for solving geophysical problems
<p>Original data and associated results for the paper "Sensing a priori constraints in DNNs for solving geophysical problems" submitted to PNAS on Nov. 16th, 2022.</p>
Data for: Representation of rewards differing in their hedonic valence in the caudate nucleus correlates with the performance in a problem-solving task in dogs (Canis familiaris)
<p>Abstract</p> <p>We have investigated dogs’ (<em>Canis familiaris</em>) abilities in associating different sounds with food rewards of different incentive value. The establishment of the association was tested in a problem-solving behavioural paradigm, as well as in an fMRI study on the same subjects (N=20). The aim was to show behavioural, as well as parallel neural effects of the association formation between the two sounds and two different associated food rewards.<br> The latency of solving the problem was considered as an indicator of motivational state. In our behaviour study we found that dogs were quicker in solving a problem upon hearing the sound associated with food higher in reward value, suggesting that they have successfully associated the sounds with the corresponding food value. In the fMRI study, the cerebral response to the two sounds was compared both before and after the associative training. Two bilateral regions of interest were explored: the caudate nucleus and the amygdala. After the associative training the response in the caudate nucleus was higher to the sound related to a higher reward value food than to the sound related to a lower reward value food, which difference was not present before the associative training. We found an increase in the amygdala response to both sounds after the training. In a whole-brain representational similarity analysis, we found that cerebral patterns in the caudate nucleus to the two sounds were different only after the training. Moreover, we found a positive correlation between the dissimilarity index in the caudate nucleus for activation responses to the two sounds and the difference in latencies to solve the behavioural task: the quicker the dog solved the behavioural task the greater the difference in the neural representation of the two sounds was. In summary, family dogs’ brain activation patterns reflected their expectations based on what they learned about the relationship between two sounds and their associated rewards.</p> <p>This dataset contains</p> <ul> <li>Raw data (four functional runs n = 20)</li> <li>Dog brain template</li> <li>ROI results (Caudate nucleus and amygdala percentage of BOLD signal change and caudate nucleus response to sounds during the two post-training runs adding or not the Inter-scan interval as a covariate in the GLM model n = 20,)</li> <li>RSA results ( Dissimilarity change between sounds (post-training > pre-training) and dissimilarity index per participant n = 20)</li> </ul>
Problem Solving and Algorithmic Development with Flowcharts
<p>This study reports on an in-depth research into student-learning using a "thinking-first" framework combined with stepwise heuristics, to provide students structure throughout the entire programming process.</p> <p>The study targetted secondary education students in an elective computer science course. There was one class with<br> 11 Dutch high school students, of which 2 females and 9 males. The group was heterogeneous, with students from different academic<br> levels and age-groups. Each student’s level and previous experience with CS was determined a priori using a pretest.</p> <p>For this study we developed sets of quizes, tasks and tests comprised of code comprehension, code composition questions (including reading and creating flowchart designs). The student responses to each were anaylzed.</p> <p>This repository contains the following data:<br> - taxonomyPerQ.pdf: indicates taxonomy level of each (quiz, task, test) question answered by students <br> - assessments_unanswered: all questions (quizes, tasks, tests) administered to students<br> - pretask (responses): anonymized student responses to pretask questions<br> - midtask (responses): anonymized student responses to midtask questions<br> - finaltask (responses): anonymized student responses to finaltask questions<br> - quiz 1 (responses): anonymized student responses to quiz 1 questions<br> - quiz 2 (responses): anonymized student responses to quiz 2 questions<br> - final test (responses): anonymized student responses to final test questions</p> <p><br> The student's handwritten work was scanned, saved as pdf and coded in atlas.ti. These coded pdf's cannot be anonymized anymore, and thus not openly distributed or published.</p>
Hospice Problem Solving Intervention
ClinicalTrials.gov study NCT01444027. IPD Sharing: Not stated. Countries: 1. Publications: 10.
Participatory Design of Electronic Health Record Tools for Problem Solving Therapy
ClinicalTrials.gov study NCT03516513. IPD Sharing: YES. Countries: 1. Publications: 1.
Problem Solving Skills Training in Adult Cancer Survivors: Bright IDEAS-AC
ClinicalTrials.gov study NCT03567850. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Bright IDEAS - Young Adults Problem-Solving Skills Training
ClinicalTrials.gov study NCT04585269. IPD Sharing: YES. Countries: 1. Publications: 3.
Problem Solving Training for Care Partners of Adults With Traumatic Brain Injury
ClinicalTrials.gov study NCT03739450. IPD Sharing: YES. Countries: 1. Publications: 26.
Feasibility Trial of a Problem-Solving Weight Loss Mobile Application
ClinicalTrials.gov study NCT02192905. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Reducing Suicide Risk in Older Veterans Using Problem Solving Therapy
ClinicalTrials.gov study NCT04763330. IPD Sharing: YES. Countries: 1. Publications: 1.
A Problem Solving Intervention for Hospice Caregivers
ClinicalTrials.gov study NCT03712410. IPD Sharing: NO. Countries: 1. Publications: 0.
Problem-Solving Skills Training to Improve Care for Children With Asthma
ClinicalTrials.gov study NCT00250588. IPD Sharing: Not stated. Countries: 1. Publications: 2.
DDBT Adapted Problem Solving Treatment for Primary Care
ClinicalTrials.gov study NCT03514394. IPD Sharing: YES. Countries: 1. Publications: 1.
Data for: Serotonin transporter (SERT) polymorphisms, personality and problem-solving in urban great tits
Open the record for dataset details and reuse information.
Pretest and posttest data for nurses' empathy and problem solving
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.