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.
335
datasets available to search
ShareScore release 0.9.0
Dataset results
335 results for “Theoretical”
Input data for Bayesian and information theoretic model selection and similarity analysis
<p>This data serves as input to the codes found in the following repository https://github.com/MariaFMoralesOreamuno/Bayesian_Information_theoretic_model_selection.git</p> <p> </p>
Data access - Operando characterization and theoretical modelling of metal|electrolyte interphase growth kinetics in solid-state-batteries - part I: experiments
<p>The zip file contains XPS and EIS data used in parts 1 and 2 of the publication entitled: "New insights into the kinetics of metal|electrolyte interphase growth in solid-state-batteries via an <em>operando</em> XPS analysis"</p> <p>Folders description: </p> <p>- "XPS" contains three subfolders with the XPS data and fitting models (in .vms format, CasaXPS) corresponding to the reference Na metal sample, the Na|NZSPas interface and Na|NZSPpolished interface</p> <p>- "EIS" contains two subfolders with the EIS data from the Na|NZSPas and Na|NZSPpolished symmetrical cells. The raw data is stored as .mpr files (EC-lab), and the fitted data is stored as .eis3 files (RelaxIS)</p>
Data in "The uncertainties in the laboratory-measured short-wave refractive indices of mineral dust aerosols and the derived optical properties: A theoretical assessment"
<p>This is the data for publication "The uncertainties in the laboratory-measured short-wave refractive indices of mineral dust aerosols and the derived optical properties: A theoretical assessment"</p> <p>Version 1: data</p> <p>Version 2: rename the data files and add a readme file</p>
Replication data for the paper "Leveraging Large Language Models for Comprehensive Psychological Analysis: Insights from Four Theoretical Frameworks"
<p>This is a replication data for the paper titled "Leveraging Large Language Models for Comprehensive Psychological Analysis: Insights from Four Theoretical Frameworks" submitted for a blind review.</p> <p>Abstract</p> <p>The rapid advancement of generative Artificial Intelligence (AI) has significantly transformed various research domains. This paper introduces a novel, fully automated methodology for applying Large Language Models (LLMs) to psychological text analysis. The approach includes prompt design for zero-shot and few-shot learning, model internal consistency analysis, autonomous machine evaluation, and additional human validation. Applied to four psychological theories—Self-Determination Theory, the Big Five Personality Traits, Psychological Well-being, and Cognitive Behavioral Therapy—this methodology is tested on a dataset of 25,780 emails written by a senior executive (called Person X) over 16 years. The analysis involves extracting psychological characteristics from the emails and regressing these characteristics against personal, professional, and environmental factors. The results demonstrate that the methodology provides unique insights into the examined psychological theories, offering a detailed understanding of how various factors influence psychological states and traits over time. This research highlights the potential of LLMs in capturing and analyzing complex psychological patterns in large text corpora, contributing a robust framework for future studies and practical applications in psychological assessment and intervention. The findings underscore the transformative impact of generative AI in psychological research, opening new avenues for understanding human behavior through advanced language models.</p> <p>The zipped file contains five csv files:</p> <ol> <li>Email_classification-csv: LLM (GPT-3.5 Turbo) classification of 25,780 emails for four psychological theories: SDT, Big Five, PWB and CBT.</li> <li>SDT_regression_data.csv</li> <li>Big_Five_regression_data.csv</li> <li>PWB_regression_data.csv</li> <li>CBT_regression_data.csv</li> </ol> <p>For 2-5 files the dependent variable is monthy percentage share of emails the were assigned a given value for categories of one of the four psychological theories analyzed. </p> <p>Linear regression model has been applied, where dependent variable is the percentage of emails in a specified category that assigned a specific value in this category. For example in Big Five Traits Model, for the Openness category, for each month we calculated percentage of emails that exhibit <em>High</em> or <em>Low</em> openness, or <em>None</em> if the content of the email does not provide enough information to assess whether the specific need is relevant. Two dependent variables were created: <em>Openness-high</em> and <em>Openness-low</em> and regressed on all independent variables. Regressions were not run for the <em>None</em> values.</p> <p>Descriptions of independent variables:</p> <p>- <em>income_index</em>: Person X salary income and consulting fees in a given month, normalized to [0,1].</p> <p>- <em>card_spending</em>: Person X credit card expenditures in a given month, normalized to [0,1].</p> <p>- <em>abroad_far</em>: dummy variable set to 1 for months when Person X worked in Central Asia</p> <p>- <em>abroad_near</em>: dummy variable set to 1 when Person X worked in other EU country</p> <p>- <em>death_1_war</em>: variable set to 1 in a month when Person X’ farther in law passed away. In the same month Russia invaded Ukraine. The variable was set to .75 in the following month, and to .5 in the month after that.</p> <p>- <em>death_2</em>: variable set to 1 in a month when Person X’ mother passed away. The variable was set to .75 in the following month, and to .5 in the month after that.</p> <p>- <em>court_case</em>: dummy variable set to 1 for months with the emotionally engaging inheritance court case involving other family members.</p> <p>- <em>BIG4_partner</em>: dummy variable set to 1 for months when Person X worked as a partner in BIG4 accounting firm, which resulted in adopting a professional activity sharply different from the usual Person X habits.</p> <p>- <em>AI_company</em>: dummy variable set to 1 for months when Person X worked as C-level executive at a company specializing in artificial intelligence.</p> <p>- <em>elections</em>: dummy variable set to 1 for months when Person X unsuccessfully run in parliamentary elections</p> <p>- <em>covid_lockdown</em>: dummy variable set to 1 for month where Polish government imposed tough measures during two covid lockdowns.</p> <p>- <em>no_receive</em>: number of different email recipients each month, normalized to [0,1].</p> <p>- <em>avg_length</em>: average number of words in emails sent each month, normalized to [0,1].</p> <p> While the email data was collected for January 2008 – March 2014 period, financial data was available from October 2009. There were some months where no emails with more than 10 words were sent, yielding 166 monthly observations used for regressions, before removing outliers.</p> <p> Independent variables were tested for multicollinearity, outlier months were removed, regressions were estimated with robust standard errors, and a range of standard tests were conducted for normality and autocorrelation of residuals, confirming good statistical properties of estimated models.</p> <p>Due to privacy concerns, the email texts cannot be publicly shared. However, the classifications of psychological categories derived from the email texts, along with all other relevant data, are made publicly available in this open access repository, with the consent of email author.</p> <p> </p>
A Unified Theoretical Framework for the Synergistic Integration of Transformers and Diffusion Models
<p>This paper introduces a novel, comprehensive theoretical framework for the synergistic integration of Transformer and Diffusion models, two paradigms that have independently revolutionized machine learning. We establish a fundamental correspondence between these models through a unified representation and a generalized dynamics equation, bridging the gap between their seemingly disparate architectures. Our key contributions include:</p> <p>(1) A unified mathematical formulation that encapsulates both Transformer and Diffusion processes;</p> <p>(2) A novel Diffusion-Enhanced Attention mechanism that incorporates Diffusion dynamics into Transformer attention;</p> <p>(3) Rigorous theoretical analyses including convergence guarantees, generalization bounds, and sample efficiency proofs for the integrated model.</p> <p>We provide detailed mathematical derivations and empirical validations across various tasks, demonstrating significant improvements over standalone models and existing hybrid approaches. This work lays the foundation for a new class of AI models that leverage the strengths of both paradigms, potentially leading to more powerful, efficient, and versatile AI systems. Our framework opens up new avenues for research in areas such as enhanced language modeling, advanced image generation, and multi-modal learning, paving the way for the next generation of AI technologies.</p>
Uncatalyzed Diboron Activation by a Strained Hydrocarbon: Experimental and Theoretical Study of [1.1.1]Propellane Diborylation
<p>Raw data for the Article "Uncatalyzed Diboron Activation by a Strained Hydrocarbon:<br>Experimental and Theoretical Study of [1.1.1]Propellane Diborylation" (https://doi.org/10.1002/chem.202402152)</p>
Supporting information file of paper [Crystallographic and theoretical study of the atypical distorted octahedral geometry of the metal chromophore of zinc(II) bis((1R,2R)-1,2-diaminocyclohexane) dinitrate (Journal of Molecular Structure 1248 (2022) 131488)]
<p>Supporting information file of third revision of an already accepted and published paper [Crystallographic and theoretical study of the atypical distorted<br>octahedral geometry of the metal chromophore of zinc(II) bis((1R,2R)-1,2-diaminocyclohexane) dinitrate (Journal of Molecular Structure 1248 (2022) 131488)].</p>
Information-Theoretic Distraction-Free Representation Learning for Visual Offline RL
<p>Cheetah and Walker dataset with Clean, Single Video, Multiple Videos, and 2x2 Grid distractions used as one of the tasks in the paper.</p> <p>We also provide the pretrained encoder for the given dataset.</p> <p>Since the dataset is quite large, we will release the code to generate the dataset. However, we are still in the process of cleaning the code.</p>
Data for Theoretical assessment of indistinguishable peptides in mass spectrometry-based proteomics
<p>This dataset provides comprehensive spectral libraries for the theoretical assessment of indistinguishable peptides in mass spectrometry-based proteomics. The data were generated through various experimental conditions. Each file contains the peptide fragmentation patterns and retention times predicted with Prosit at different normalized collision energies (NCE) and charge states.</p>
data and code for "Nest entrances, spatial fidelity, and foraging patterns in the red ant Myrmica rubra: a field and theoretical study"
<p>Data set and codes used for the results, figures and simulation of the paper "Nest entrances, spatial fidelity, and foraging patterns in the red ant <em>Myrmica rubra</em>: a field and theoretical study".</p>
Formulation of the theoretical design for 30 reviewed articles investigating a causal relationship between exposure to antibiotics and the occurrence of asthma
<p>This document includes extracted information from 30 reviewed articles that investigated a causal relationship between exposure to antibiotics and the occurrence of asthma. For all 30 articles we formulated a theoretical design, that is also included in this document. This is part of a PhD-project that is investigating whether different approaches to study design (with specific interest in the formulation and reporting of a theoretical design) have an influence on study results. After registration of this document no changes were made, and the authors of the articles were contacted with questions concerning theoretical design. This is done with the aim of afterwards comparing our own formulated theoretical design, with what is reported to us afterwards by the authors. </p>
Theoretical Framework for Measuring Cloud Effective Supersaturation Fluctuations using an Advanced Optical System
Open the record for dataset details and reuse information.
The data for "Noise-Resilient Forward Transient Analysis for Pipe Burst Localization in Complex Pipe Networks: Theoretical Framework"
<p>The data is for supporting our research paper titled "Noise-Resilient Forward Transient Analysis for Pipe Burst Localization in Complex Pipe Networks: Theoretical Framework".</p>
Testing a Theoretical Model of Parent-Child Relationship on Sleep Problem Mediated by Problematic Smartphone Usage and Nomophobia
<p>The dataset is derived from 672 senior high schools’ students from six schools in Yogyakarta city, Indonesia. The dataset provides important information about data of <em>parent-child relationships, problematic smartphone usage, nomophobia, and sleep problems</em>.</p>
Theoretical data: EELS WSe2 and hBN heterostructure
<p><span>Theoretical data corresponding to the manuscript: </span>Mapping the energy-momentum dispersion of hBN excitons and hybrid plasmons in hBN-WSe2 heterostructures.</p>
A combined experimental and theoretical approach to the electronic and magnetic properties of Cu-doped LaMnO3 perovskites
<p>Collected data in Origin file format of magnetic and cw-EPR measurements of LaMnO3, La2CuO4 and Cu-doped LaMnO3. Temperature and magnetic field dependent magnetization measurements have been carried out on a Quantum Design Physical Properties Measurement System (PPMS). Room temperature continuous wave EPR (cw-EPR) measurements at X-band (9.86 GHz) frequencies have been conducted with a Bruker B-ER420 spectrometer upgraded with Bruker ECS 041XG microwave bridge and a lock-in amplifier (Bruker ER023M) using Bruker TE102 resonator applying a modulation amplitude of 5 G, a modulation frequency of 100 kHz and an attenuation of 20 dB for the microwave bridge. The samples have been measured in quartz tubes of 2.9 mm outer diameter with a filling height of approx. 9 mm containing approx. 7 mg to 20 mg of the powdered sample. All spectra are background-corrected taking an empty quartz tube as reference.</p>
FIGURE 3. Theoretical diagrams showing a in Aspidistra paucitepala (Asparagaceae), a new species with occurrence of the lowest tepal number in flowers of Asparagales
FIGURE 3. Theoretical diagrams showing a fraction of variation of flower groundplan in Aspidistra in the framework of the pentacyclic interpretation. Outer whorl tepals and outer whorl stamens red, inner whorl tepals and inner whorl stamens blue. Gynoecium is a black circle (individual carpels not shown as gynoecium diversity requires further investigation). There are some examples of species (based on data from protologues, Liang & Tamura 2000, Tillich 2005) below diagrams. Note that no attempt was made to make species lists exhaustive; trimerous and tetramerous flowers are found in many species of the genus. An alternative interpretation implies that all flowers illustrated here possess a single whorl of tepals and a single whorl of stamens.
Impacts of concentrated seepage flow on suffusion development in cohesionless soil: insight from a theoretical model
<p>The uploaded file is the original data of a paper submitted to the journal of " Water Resources Research"</p>
Insights into the aggregation mechanism of RRM domains in TDP-43: A theoretical exploration
<p>The transactive response DNA-binding protein 43 (TDP-43) is associated with several diseases such as Amyotrophic lateral sclerosis (ALS) and Frontotemporal lobar degeneration (FTLD) due to pathogenic aggregations. In this work, we examined the dimer, tetramer and hexamer models built from the RRM domains of TDP-43 using molecular dynamics simulations in combination with the protein-protein docking. Our results showed that the formations of the dimer models are mainly achieved by the interactions of the RRM1 domains. The parallel β-sheet layers between the RRM1 domains in these oligomer models, which provide the potential binding sites in the aggregation process, are formed energetically favorable. The approaching of the parallel β-sheet layers from small oligomer models gradually expand to large ones through the allosteric communication between the α1/α2 helices of the RRM1 domains, which maintains the binding affinities and interactions in the larger oligomer models. Using the repeatable-superimposing method based on the tetramer models, we proposed a new aggregation mechanism of RRM domains in TDP-43, which could well characterize the formation of the large aggregation models with the repeated, helical and rope-like structures. These new insights help to understand the amyloid-like aggregation phenomena of TDP-43 protein in ALS and FTLD diseases.</p>
Code from: A theoretical framework for trait-based eco-evolutionary dynamics: population structure, intraspecific variation, and community assembly
<p>How is trait diversity in a community apportioned between and within co-evolving species? Disruptive selection may result in either a few species with large intraspecific trait variation (ITV) or many species with different mean traits but little ITV. Similar questions arise in spatially structured communities: heterogeneous environments could result in either a few species that exhibit local adaptation or many species with different mean traits but little local adaptation. To date, theory has been well-equipped to either include ITV or to dynamically determine the number of coexisting species, but not both. Here, we devise a theoretical framework that combines these facets, and apply it to the above questions of how trait variation is apportioned within and between species in unstructured and structured populations, using two simple models of Lotka-Volterra competition. For unstructured communities, we find that as the breadth of the resource spectrum increases, ITV goes from being unimportant to crucial for characterizing the community. For spatially structured communities on two patches, we find no local adaptation, symmetric local adaptation, or asymmetric local adaptation depending on how much the patches differ. Our framework provides a general approach to incorporate ITV in models of eco-evolutionary community assembly.</p>
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.