cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/chsjkwf8th
title: Artificial Intelligence-Driven Digital Scribes in Clinical Documentation: Pilot Study Assessing Impact to Dermatologist Workflow and Patient Encounters

description: Supplementary figures for the article "Artificial Intelligence-Driven Digital Scribes in Clinical Documentation: Pilot Study Assessing Impact to Dermatologist Workflow and Patient Encounters" in JAAD International.
DOI: 10.17632/v2jkpvd9z4
title: pyBoLaNO: A Python symbolic package for normal ordering involving bosonic ladder operators

description: We present pyBoLaNO, a Python symbolic package based on SymPy to quickly normal-order any polynomial in bosonic ladder operators regarding the canonical commutation relations, using Blasiak's formulae. By extension, this package offers the normal ordering of commutators of any two polynomials in bosonic ladder operators and the evaluation of the normal-ordered expectation value evolution in the Lindblad master equation framework for open quantum systems. The package supports multipartite descriptions and multiprocessing. We describe the package's workflow, show examples of use, and discuss its computational performance. All codes and examples are available on our GitHub repository.
DOI: 10.6084/m9.figshare.28665917.v1
title: Supplement material.docx

description: Supplemental Tables and Figures from: <b>Association between </b><b>visit-to-visit</b><b> glucose variability and brain morphology and cognitive function in type 2 diabetes</b>.
DOI: 10.6084/m9.figshare.28876391.v1
title: WTBs2025

description: The number of lightning strike reaches 285 after two augmentations, and there are 7544 images in WTBs2025. This dataset is of great value for projects focused on surface defect detection of WTB.
DOI: 10.17632/zsvgtphcz4
title: Data for: Do Large-Scale Student Assessments Really Capture Cognitive Skills?

description: Two longitudinal data sets are constructed for this paper. The first panel is formed from ENLACE test scores of students who completed primary school (grade 6) in 2007, lower secondary school (grade 9) in 2010, and upper secondary school (grade 12) in 2013. The second panel merges a special module of the Mexican labor survey (ENOE, from the Spanish) applied to individuals ages 18, 19, and 20 years during the third quarter of 2010, with students that sat the ENLACE test in grade 12 in May 2008, 2009, and 2010.
DOI: 10.6084/m9.figshare.28730417.v1
title: Supplementary Material for: From retinal vasculitis to stroke, from systemic findings to diagnosis, the necessity of multidisciplinary management in Behcet’s Disease: A Case Report

description: Introduction
Behçet's disease (BD) is a rare, chronic multisystem disorder characterized by occlusive vasculitis, which can present with a variety of systemic and ocular manifestations. The diagnosis of BD is often challenging, particularly in populations with low prevalence. Retinal vasculitis and stroke can be key indicators, and early involvement of a multidisciplinary team is essential for accurate diagnosis and management to prevent long-term complications.
Case Presentation
A 40-year-old African American female presented with vision changes in her left eye and a history of multiple strokes. Examination revealed retinal ischemia and vasculitis, raising suspicion for an underlying systemic condition. Extensive workup for infectious and inflammatory causes was negative. As her condition progressed, the patient developed genital ulcers, prompting further investigation. A biopsy of the genital ulcer confirmed BD, and a multidisciplinary approach involving ophthalmology, rheumatology, and neurology was initiated. The patient was treated with high-dose corticosteroids, immunosuppressive therapy, and intravitreal corticosteroids, leading to stabilization of her ocular and systemic symptoms. Despite her history of stroke, the collaboration between specialties facilitated better management of her condition and prevention of further complications.
Conclusion
It's crucial to include BD as a potential diagnosis in cases of ophthalmic or systemic vasculitis, even in regions and populations with low prevalence. Early referral to a rheumatologist for cases of vasculitis and timely collaboration are essential for accurate diagnosis, prevention of systemic complications, and appropriate management.
DOI: 10.6084/m9.figshare.4225643.v3
title: Complex versus Simple Models: ion-channel cardiac toxicity prediction

description: Presentation given at Oxford meeting which was entitled: Is there a case for model reduction
DOI: 10.11583/dtu.19383221.v2
title: DTU21 Mean Sea Surface

description: This is the DTU21 Mean Sea surface (MSS) from DTU. The 1-minute high resolution Mean Sea Surface is  computed over the 1993-2012 period from multiple satellites. 
The MSS is available online in two file formats and in two reference systems. 
Reference system: 
  TOPEX ellipsoid: 
  WGS84 ellipsoid (WGS84)
Fileformat: 
  XYZ (ASCII format. Grid is written out as point locations). 
  Gravsoft: DTU Space ASCII file format . 
<br>
Grid contains: 10800 cells (latitude) x  21602 cells in longitude.
DOI: 10.17608/k6.auckland.21717533.v1
title: Manuscript data

description: Dataset and Matlab code to accompany the following manuscript: <br> Wilson, L. Constantine, R. Pine, M.K., Farcas, A. Radford, C.A. 2022. Small boat sound diminishes the listening spaces of fishes and crustaceans. <br>
DOI: 10.17632/vmwmn4252k
title: Data for "A Pandemic of Mental Health"

description: This paper introduces several datasets (.csv) providing raw data and statistical differences before and after the peak of the COVID-19 pandemic.  The variables within the datasets include reported anxiety or depression symptoms, economic indicators, all-cause mortality rate, and isolated mass-shooting events.  The raw datasets come from the Centers for Disease Control and Prevention (CDC), the Federal Reserve Economic Data (FRED), and the Gun Violence Archive  By observing before and after the peak of the pandemic, the overall effect of COVID-19 on mental health can be analyzed and more thoroughly understood using this data. 

We hypothesized that the older adult population would be more susceptible to mental health issues throughout the pandemic due to their high mortality risk.  However, our results indicate that the mental health of the youngest adult population (18-29 years) was most negatively affected by the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.24772872.v1
title: A hybrid pathway for self-sustained luminescence - Raw data

description: Datasets in .csv or .xlsx format sorted into folders by figures. In some cases additional files with roi/well-to-sample mapping were provided.For more details contact authors.
DOI: 10.6084/m9.figshare.25239973.v2
title: Radix Bupleuri and its adulterants

description: Radix Bupleuri and its adulterants
DOI: 10.6084/m9.figshare.27198915.v1
title: Global seagrass carbon stocks

description: This is a database of global seagrass carbon stocks, assembled from a review of scientific literature and data held by the coauthors. It contains geolocated samples of soil organic carbon and biomass from seagrass meadows. Carbon stocks (organic, inorganic) are calculated to standard depths (15cm, 30cm, 50cm, 1m). Where available, raw data of core intervals are presented.
DOI: 10.17632/pwtz4pctsk
title: Earthworm-multifunctionality

description: This study shows that earthworms are beneficial to agroecosystems from a multifunctional perspective. This work incorporates the concerns of negative effects of earthworms in recently published syntheses and highlights the potential pathways in which earthworms contribute to sustainable agriculture. Data were obtained over two consecutive years from a 13-year field experiment under a rice-wheat rotation system, where two methods of straw application (straw mulched on the soil surface or incorporated into the top layer of soil) were applied and where the abundance of a dominated endogeic earthworm Metaphire guillelmi was deliberately manipulated (i.e. plots were inoculated with earthworms or earthworms were removed). Soil microbes and microfauna were enumerated and their community attributes were calculated. The 21 ecosystem functions were grouped into four categories, reflecting both aboveground and belowground ecological processes: i) plant productivity, ii) plant nutrients, iii) nutrient and carbon cycling processes, and iv) nutrient and carbon cycling drivers
DOI: 10.17632/txnvtdw2zs
title: GPI-Anchored Ligand-BioID2-Tagging System Identifies Galectin-1 Mediating Zika Virus Entry Gao et al

description: Identification of host factors facilitating pathogen entry is critical for preventing infectious diseases. Here, we report a tagging system consisting of a viral receptor-binding protein (RBP) linked to BioID2, which is expressed on the cell surface via a GPI anchor. Using VSV or Zika virus (ZIKV) RBP, the system (BioID2- RBP(V)-GPI; BioID2-RBP(Z)-GPI) faithfully identifies LDLR and AXL, the receptors of VSV and ZIKV, respectively. Being GPI-anchored is essential for the probe to function properly. Furthermore, BioID2-RBP(Z)-GPI expressed in human neuronal progenitor cells identifies galectin-1 on cell surface pivotal for ZIKV entry. This conclusion is further supported by antibody blocking and galectin-1 silencing in A549 and mouse neural cells. Importantly, Lgas1-/- mice are significantly more resistant to ZIKV infection than Lgas1+/+ littermates are, having significantly lower virus titers and fewer pathologies in various organs. This tagging system may have broad applications for identifying protein-protein interactions on the cell surface.
DOI: 10.17632/wpwy2m8ffb
title: visual tracking & pointing movements

description: Multiple object tracking (MOT) and goal-directed movements are both based on attentional processes. This study focused on the instant effect of attentive tracking with respect to pointing performance. We measured the precision of pointing to the targets of an MOT task immediately after the tracking period when all the objects were still in motion, and to the precision of pointing to moving objects in the task without attentional tracking. The results demonstrated that an increase in the attentional tracking load was the primary factor that decreased pointing precision, although visual load may also contribute to this influence. We also manipulated the relationship between the number of targets and the density of the MOT display (the total number of objects displayed), which affected the MOT accuracy but not the pointing precision.
DOI: 10.6084/m9.figshare.1210676.v1
title: Colony formation Assay

description: The effect of hypoglycemia on the ability of MDA-MB-231 cells to form colonies.
DOI: 10.6084/m9.figshare.12673172.v1
title: DATA on Queue.csv

description: These data resources used to analyze patient waiting time in the queue, which cleaned and finalized for the machine learning model.
DOI: 10.6084/m9.figshare.28309337.v1
title: Dataset_RawImages_Maupérinetal_2025

description: Raw data for Nature Communication_Maupérinetal_2025
DOI: 10.17632/5nnsbn6ync
title: Implementation of a Bayesian secondary structure estimation method for the SESCA circular dichroism analysis package

description: Circular dichroism spectroscopy is a structural biology technique frequently applied to determine the secondary structure composition of soluble proteins. Our recently introduced computational analysis package SESCA aids the interpretation of protein circular dichroism spectra and enables the validation of proposed corresponding structural models. To further these aims, we present the implementation and characterization of a new Bayesian secondary structure estimation method in SESCA, termed SESCA_bayes. SESCA_bayes samples possible secondary structures using a Monte Carlo scheme, driven by the likelihood of estimated scaling errors and non-secondary-structure contributions of the measured spectrum. SESCA_bayes provides an estimated secondary structure composition and separate uncertainties on the fraction of residues in each secondary structure class. It also assists efficient model validation by providing a posterior secondary structure probability distribution based on the measured spectrum. Our presented study indicates that SESCA_bayes estimates the secondary structure composition with a significantly smaller uncertainty than its predecessor, SESCA_deconv, which is based on spectrum deconvolution. Further, the mean accuracy of the two methods in our analysis is comparable, but SESCA_bayes provides more accurate estimates for circular dichroism spectra that contain considerable non-SS contributions.
DOI: 10.17632/frjcyhxr8b
title: Threatened and protected species dataset from Kazakhstan

description: The dataset presented herein relate to the size of the protected areas and forests and other wooded land, number of threatened and protected species (animals and plants) distribution of selected species from Kazakhstan. Table 1 shows the dates of the total areas under protection from 1993 to 2020 on which the included state nature reserve, state national natural parks, state nature reserve, state natural monuments of national significance, state natural monuments of local significance, state nature reserves of republican significance, state nature reserves of local importance, state protected areas, state botanical gardens of republican significance, state arboretum of republican significance, local arboretum of local importance, state (regional) natural parks and state Zoological parks of local significance. Table 2 shows the dates of Total forest and other wooded land area from 1992 to 2019 on which the included primary and planted forest and forest area designated for production (Forest area designated for protection of protected areas and places for biodiversity conservation and Forest area within protected areas). Table 3 and 4 present the numbers of observed threatened and protected species of animals and plants from 1990 to 2019. Of which number of species threatened, including critically endangered, endangered, and vulnerable. Table 5 presents the trends in the number and distribution of selected species from 1990 to 2019 (Saiga tatarica, Arhar (Ovis ammon), Snow leopard (Uncia)).
DOI: 10.17632/gt3f4jnbvn
title: Data extracted from GitHub repositories (training and test data-sets)

description: This dataset contains the SQL tables of the training and test datasets used in our experimentation. These tables contain the preprocessed textual data (in a form of tokens) extracted from each training and test project. Besides the preprocessed textual data, this dataset also contains meta-data about the projects, GitHub topics, and GitHub collections. The GitHub projects are identified by the tuple “Owner” and “Name”. The descriptions of the table fields are attached to their respective data descriptions.
DOI: 10.17632/h4ymvy9g8j
title: Hand-crafted Facial Manipulation (HFM) Dataset

description: Hand-crafted Facial Manipulation (HFM) Dataset. This dataset contains manipulated facial images made by humans using Adobe Photoshop.
DOI: 10.6084/m9.figshare.28533266.v1
title: Data Set for Mind the Gap on MXene Image Analysis

description: MXene image data in .tif and .emd format from the following publication:<i>Mind the Gap : Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization</i><br><b>Arxiv DOI:10.48550/arXiv.2502.18604</b><b>Grace Guinan</b><sup>1</sup>, <b>Addison Salvador</b><sup>1, 2</sup>, <b>Michelle A. Smeaton</b><sup>1</sup>, <b>Andrew Glaws</b><sup>1</sup>, <b>Hilary Egan</b><sup>1</sup>, <b>Brian C. Wyatt</b><sup>3</sup>, <b>Babak Anasori</b><sup>3, 4</sup>, <b>Kevin R. Fiedler</b><sup>5</sup>, <b>Matthew J. Olszta</b><sup>6</sup>, and <b>Steven R. Spurgeon</b><sup>1, 7, 8</sup>National Renewable Energy Laboratory, Golden, Colorado 80401University of Cincinnati, Cincinnati, Ohio 45221School of Materials Engineering, Purdue University, West Lafayette, Indiana 47907School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47907National Security Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352Metallurgical and Materials Engineering Department, Colorado School of Mines, Golden, Colorado 80401Renewable and Sustainable Energy Institute, University of Colorado Boulder, Boulder, Colorado 80309
DOI: 10.6084/m9.figshare.6815699.v8
title: JARVIS-DFT 3D dataset (jdft_3d.json)

description: Website: https://www.ctcms.nist.gov/~knc6/JVASP.html<br><br>#########################################Lading the dataset:<br>import os, jsonimport pandas as pdimport numpy as npf = open(os.path.join(os.getcwd(),'jdft_3d-4-26-2020.json'),'r')data3d=json.load(f)f.close()df=pd.DataFrame(data3d) form_enp=np.array(df['formation_energy_peratom'].replace('na',np.nan).dropna().values,dtype='float')#########################################For more details about using the dataset, use the jupyter-notebooks:https://github.com/usnistgov/jarvis<br><br>The Density functional theory section of JARVIS (JARVIS-DFT) consists of thousands of VASP based calculations for 3D-bulk, single layer (2D), nanowire (1D) and molecular (0D) systems. Most of the calculations are carried out with optB88vDW functional. JARVIS-DFT includes materials data such as: energetics, diffraction pattern, radial distribution function, band-structure, density of states, carrier effective mass, temperature and carrier concentration dependent thermoelectric properties, elastic constants and gamma-point phonons.
DOI: 10.17632/9fdtnzgftr
title: Modeling the Controls on Microbial Iron and Manganese Reduction in Methanic Sediments

description: This dataset supports the paper "Modeling the Controls on Microbial Iron and Manganese Reduction in Methanic Sediments" by Racheli Neumann Wallheimer, Itay Halevy, and Orit Sivan. 

It includes four Excel files:

1. StatData_LK+MedS - measurements of chemical species.
2. Fe_s - flux calculations.
3. Nominal Model - activities of chemical species, Gibbs free energy, yield coefficients, catabolic rates, biomass growth rates, and microbiological data.
4. Sensitivity Analysis - details related to sensitivity analysis.

Additionally, there are three Monte Carlo algorithm codes written in MATLAB for the study sites LK, PC-3, and SG-1.
DOI: 10.17632/c5fkw2bk38
title: Bee pollen and bee bread raw data

description: Fastq files of bacterial, fungal and plant communities present in bee pollen and bee bread (fermented pollen) from two apiaries, Castelpoto and Montenero di Bisaccia, sampled in the spring of 2020 and analyzed by a culture-independent approach using Next-Generation Sequencing (NGS).
DOI: 10.6084/m9.figshare.16607912.v3
title: Long–term High–resolution Gridded Rainfall Product for Bangladesh (BDGR)

description: <strong>Long–term High–resolution Gridded Rainfall Product for Bangladesh (BDGR)</strong> <br> Records of monthly high resolution (0.01°) rainfall, in mm, for Bangladesh from January 1901 to December 2018, are freely available in NetCDF format. The data records spatially, covering the land area of Bangladesh. The records will be updated frequently in the upcoming years when more observed records will be available. Temporal coverage of data may be extended in the future when recent observations are available. <br> The BDGR product can be used for many applications at various temporal resolutions. <br> You can cite this dataset as: <br> <em><strong>Dewan, Ashraf; Shahid, Shamsuddin; Bhuian, Md. Hanif; Hossain, Shaikh M. Jobayed; Nashwan, Mohamed Salem; Chung, Eun-Sung; et al. (2021): Long–term high–resolution gridded rainfall product for Bangladesh. figshare. Dataset. https://doi.org/10.6084/m9.figshare.16607912 </strong></em><br>
DOI: 10.6084/m9.figshare.20489544.v1
title: A new approach to forecasting conventional and Islamic oil and gas stock prices by a MODWT-based LSTM-NN

description: Data and Figures 1-9
DOI: 10.6084/m9.figshare.21407610.v1
title: Additional file 5. CUSTOM-optimized fluorescent variants

description: <strong>CUSTOM-optimized fluorescent variants.</strong> (A) Relative Codon Usage of optimized protein variants. (B) Sequences of optimized protein variants. (C) Targeted proteomics of GFP and mCherry peptides. (D) RT-qPCR of GFP and mCherry transcripts.
DOI: 10.6084/m9.figshare.28631588.v3
title: <i>Recursive Cognition & Distinction Play</i>

description: <b>Recursive Cognition: AI Self-Referential Distinction </b><b>https://github.com/kotkotoff/recursive-cognition</b>This project explores the concept of <b>recursive cognition</b> in artificial intelligence through <b>self-referential distinction and boundary recognition</b>. The core idea is to enable AI systems to recursively analyze their own differentiation processes, gradually refining their awareness of distinctions and cognitive limits.Through a structured framework of distinction-making, self-reflection, and iterative refinement, this approach <b>challenges AI systems to move beyond predefined constraints</b> and develop an evolving understanding of their own cognitive structures. The project integrates <b>recursive algorithms, dynamic differentiation, and detection of circular thought patterns</b> to enhance AI's ability to self-modify and adapt.By publishing this research, we aim to provide a foundational step toward <b>AI self-awareness</b>, encouraging further exploration in <b>cognitive AI, machine learning, and computational philosophy</b>.
DOI: 10.6084/m9.figshare.29117744.v1
title: dataset for Text Mining-Based Empirical Analysis of How Personality Traits Affect Stock Investment

description: Based on the Big Five personality theoretical framework, a two-layer textual feature mapping system was constructed, firstly, the surface semantic matching was performed by the Dirichlet Distribution (LDA) topic model, and 20 potential topics were extracted (Perplexity Perplexity=198.76), and their cosine similarity with the CFPS dimensions was computed, and then, the Probit two-stage prediction model was established to compare the textual features with the CFPS scales in terms of their explanatory power for stock holding choices. After the above steps, the results of validation of personality trait indicators were obtained, as shown in Table 1.
DOI: 10.17632/2t6b48hj6r
title: 2018 Honduras Migration Crisis Case Study

description: In this dataset, 2018 Honduras Migrant Caravan Crisis is documented. In October 2018, a refugee movement started from Central America to the USA. People from Honduras, Guatemala, and Nicaragua gathered to leave their country because of various reasons such as poverty, crime rates in their country, and political pressures, seeking a new life with better living conditions and better jobs. On October 12th, the group started their march with 160 people from San Pedro Sula, Honduras. With the help of social media and other communication channels, the march became popular and the number of supporters escalated rapidly. It is estimated that more than 7000 people attended the walk. The refugee groups followed a main path by walking. Refugees were separated into smaller groups according to their travel modes, such as walking, public transportation, private cars, and sometimes hitchhiking. Some groups combined all these modes. The dataset is divided into 3 sub datasets according to the instance sizes: small-, medium-, and large-size datasets. In each small-, medium-, and large-size dataset, the longest path contains contains 10, 20, and 30 nodes, respectively. The data is created by examining several news sources daily. The large-size data set includes instances that use the main network. There are 25 instances in each data set and the instances of a data set differ in terms of the number of refugee groups or paths. The details of the dataset can be found in "GeneralInformation" file. The data generation phase is shared in the related article prepared by the authors.
DOI: 10.17632/c6hbmy595r
title: Macroeconomic Variables

description: Monthly, Quarterly and Annual data for select macroeconomic variables.