cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fkwnt8tndv
title: Bio-Photonics Light Scattering Dataset for AI-Based Tissue Imaging

description: 🔬 Research Hypothesis
This research hypothesizes that light propagation in biological tissues follows predictable scattering patterns governed by Monte Carlo-based photon transport models. By simulating photon interactions within a biological medium, a synthetic dataset can be generated to support AI-driven medical imaging applications, such as optical coherence tomography (OCT) and diffuse optical tomography. The dataset explores how different optical properties—scattering coefficient, anisotropy, and absorption—affect photon propagation and whether AI models can learn to differentiate between scattering profiles.

📊 Key Findings
The dataset consists of 2000 grayscale images, each representing the intensity distribution of photons in a simulated biological medium. Photon propagation follows expected physical principles, with intensity patterns matching theoretical models of light transport in tissues.

Key observations include the effect of anisotropic scattering, where high anisotropy values lead to forward-directed light propagation, while increased scattering coefficients result in greater lateral diffusion. Shorter wavelengths (450 nm) show stronger scattering and shallower penetration, whereas longer wavelengths (780 nm) experience lower scattering and deeper penetration, consistent with real tissue optics.

Absorption plays a critical role, reducing photon intensity as light penetrates deeper into the simulated medium. The structured variation in light intensity ensures that AI models can be trained to predict tissue properties from scattering patterns.

📖 How to Interpret and Use This Dataset
Each image represents a Monte Carlo photon transport simulation, where photons undergo multiple scattering and absorption events. The brightness of each pixel corresponds to photon concentration, with brighter areas indicating regions of higher intensity.

Researchers can analyze images by filtering them based on optical properties, such as wavelength or scattering coefficient. AI models can use the dataset for training in tissue classification and reconstruction of subsurface structures. The dataset is also valuable for validating Monte Carlo-based light transport models by comparing the generated images to experimental optical imaging data.

📌 Applications and Use Cases
This dataset is applicable to biomedical optics, AI-driven medical imaging, and laser-tissue interaction studies. It provides training data for AI models used in OCT and laser scanning microscopy. In physics and engineering, it supports the study of light transport in scattering media.

For AI research, the dataset enables training deep learning models to classify tissue structures based on scattering properties. It is also useful for developing AI algorithms that reconstruct subsurface tissue features from optical measurements.
DOI: 10.17632/h8s5mn52j6
title: Multispectral Images on Paddy- Sri Lanka

description: There are 336 multispectral images in this dataset. Each shot of the multispectral camera captures four bands (green, red, red edge, and near-infrared) with RGB image in separated JPG files. 20MP, 4/3 CMOS RGB camera captures the RGB images. The names of the multispectral images are organized as “DJI_DateTime_imgNumber_MS_bandNumber''. For example, “DJI_20230814123320_0001_MS_G'' is band 1 (green) of image number 001 of the flight on August 14, 2023, at 12.33.20 p.m. and “DJI_20231005124002_0001_D” is RGB image number 001 of the flight on October 05, 2023, at 12.40.02 p.m.
DOI: 10.17632/sxtbf876xs
title: Pollutants in Organic Foods consumed in Europe - POFE

description: The POFE database contains a total of 1207 concentration values from 823 food–substances couples involving 166 food matrices and 209 chemical substances among which 95% were not authorised in organic farming and 80% were pesticides.
DOI: 10.6084/m9.figshare.28032473.v1
title: <b>An Affective Priming Experiment on Millennials</b>

description: An experiment with a Millennial sample was conducted using the affective priming paradigm to analyze semantic associations (Siano, Laudanna, Bracco, Conte, Sammartino)
DOI: 10.6084/m9.figshare.4668322.v2
title: Comparison of the postoperative visual quality after SMILE and LASEK for high myopia: a 1-year outcome

description: <b>Table 2. </b>Demographic Data One year Postoperatively<br>
DOI: 10.17632/2g4ppzyw3y
title: Pensamiento sistémico para estudiantes de básica primaria y secundaria

description: El proyecto aborda la utilidad de la dinámica de sistemas y el pensamiento sistémico como mecanismos didácticos para emprender procesos de aprendizaje en estudiantes de educación básica primaria y secundaria referidos especialmente a la temática de la sostenibilidad y orientado a las asignaturas de ciencias naturales.
DOI: 10.17632/dbxg33r2fs
title: Samsung NCR 18650 20R battery cell and pack thermo-vibration testing dataset

description: This dataset contains the open circuit voltage and internal resistance data measured for Samsung NCR 18650 20R battery cell at different SOC levels and temperatures. It also contains the fundamental frequencies of the battery pack under different temperatures before and after the vibration.
DOI: 10.6084/m9.figshare.25558926.v1
title: Chapman ECG dataset

description: Chapman datasets. All the ECGs have been downsampled to 250Hz. 10-second ECG data has a shape of (n, 12, 2500), where n denotes the number of ECGs, 12 denotes the number of leads, and 2500 denotes the length of each ECG.<br>
DOI: 10.17632/8kcfx48gvf
title: Data for: An Attention-based CNN-BiLSTM Hybrid Neural Network Enhanced with Features of Discrete Wavelet Transformation for Fetal Distress Classification

description: CTG
DOI: 10.17632/h288d2rtgb
title: Data for: Is dollarization an alternative for Latin America?

description: Economic data for 19 Latin American & Caribean countries, USA, European Union, and China. Variables include: Exports, Real GDP, GDP sector composition, inflation, balance of payments, central government debt and primary net lending-borrowing. Real GDP data is segmented into two series: 1960-2000: Annual GDP in USD, base year = 2010. 2001-2018: Quarterly GDP in local currency, base year vary by country.
DOI: 10.17632/rvy882cyvp
title: DARTS Prospective Oddball MDD

description: Participants were recruited from the Tallahassee, Florida, USA community via advertisements, flyers, and other outlets from 2013 to 2016 to participate in a large longitudinal randomized clinical trial (RCT) project targeting risk factors for anxiety and mood disorders (clinical trial #: NCT01941862). Interested participants completed a phone screen to determine eligibility, attended a baseline visit during which verbal and written explanations of the procedures of the study were provided before written informed consent was obtained, and completed self-report questionnaires as well as a clinical interview. The sample consisted of adults between the ages of 18 and 79 who had normal or corrected-to-normal vision and no lifetime history of significant head trauma or neurological diseases. Further exclusion criteria included the presence of a lifetime diagnosis of a manic/hypomanic episode (i.e., bipolar disorders) or psychotic disorders. Participants were included in the current study if they met diagnostic criteria for any current depressive disorder at the baseline assessment, which was confirmed via structured clinical interviewing (i.e., major depressive disorder [MDD], persistent depressive disorder [PDD], or depression not other specified) and were randomized to either the mood reduction intervention, combined mood and anxiety reduction intervention, or the repeated contact control condition. The study was conducted in accordance with the ethical guidelines of the Declaration of Helsinki and was approved by the Florida State University Institutional Review Board. The current dataset initially comprised a total of 95 participants experiencing depression at the baseline assessment (38 randomized to mood reduction intervention, 31 randomized to the combined intervention, and 26 randomized to the repeated contact control condition); however, 54 participants returned for the six-month follow-up and an additional six participants were excluded due to poor EEG signals after visual inspection. Therefore, the final sample consisted of 48 total participants. The present dataset consists of the following variables: baseline neural activity (i.e., P300 amplitude) collected during an affective visual oddball (target, distractor, and standard), demographic information (age, gender, race), intervention group, baseline depression severity (BDI), six-month follow-up depression severity (BDI), and six-month follow up depression diagnoses status (SCID).
DOI: 10.6084/m9.figshare.7318520.v1
title: PBL Barley and AtPBS1 Alignment

description: Alignment of PBS1 and PBS1-like protein kinase amino acid sequences from barley and Arabidopsis, aligned by Clustal Omega. Barley sequences were obtained by a BLAST search using Arabidopsis PBLs as queries. This alignment was used to generate the phylogenetic tree in Figure 2A and S1 in Carter and Helm, et al 2018 (in submission).<br>From methods section:Sequence similarity searches were performed using BLASTp to gather barley amino acid sequences homologous to Arabidopsis PBS1 and PBS1-like proteins. First, AtPBL (1 to 27), BIK1, and other PBS1-homologous sequences were gathered by searching the Arabidopsis genome (TAIR10, GCA_000001735.1) with the AtPBS1 (OAO91748.1) amino acid sequence and by name search. Potential barley PBLs were collected by searching the barley protein database (assembly Hv_IBSC_PGSB_v2) with each Arabidopsis homologue and taking the top five hits derived from distinct genes. Amino acid sequences were aligned with Clustal Omega (Sievers et al., 2011). <br>
DOI: 10.17632/59d2r9xthm
title: The nonlinear gyro-kinetic flux tube code GKW

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract A new nonlinear gyro-kinetic flux tube code (GKW) for the simulation of micro instabilities and turbulence in magnetic confinement plasmas is presented in this paper. The code incorporates all physics effects that can be expected from a state of the art gyro-kinetic simulation code in the local limit: kinetic electrons, electromagnetic effects, collisions, full general geometry with a coupling to a MHD equilibrium code, and E × B shearing. In addition the physics of plasma rotation has been i... Title of program: GKW Catalogue Id: AEES_v1_0 Nature of problem Five dimensional gyro-kinetic Vlasov equation in general flux tube tokamak geometry with kinetic electrons, electro-magnetic effects and collisions. Versions of this program held in the CPC repository in Mendeley Data AEES_v1_0; GKW; 10.1016/j.cpc.2009.07.001
DOI: 10.17632/wcph8bdgt7
title: Harbor seal-pebble sacks-SST

description: In the northeast Pacific Ocean, the harbor seal exhibits its southernmost distribution in waters off the Baja California Peninsula, which includes nine islands and archipelagos and some sites on the coast. A decrease in abundance at the coastal colonies was reported for 2016, when pebble extraction at some of those beaches increased. The present study analyzed seal counts in aerial photographs taken in 2016, 2018, 2019, and 2022, evaluating them as a function of both the sea surface temperature (SST) obtained from from the US National Oceanic and Atmospheric Administration (NOAA) climate data record, as taken from its polar-orbiting satellite (ftp.oceans.ncei.noaa.gov/pub/data.nodc/pathfinder/Version5.3/L3C) for the 50 km around each colony and the occurrence of pebble extraction. We found a consistent decrease in the number of seals over time for all colonies off the Baja California Peninsula in the southern California Current Large Marine Ecosystem, coinciding with an increase in SST that could indicate lower habitat suitability. However, the decline of seal numbers on the Todos Santos, San Jeronimo, San Benito, Natividad, and San Roque islands was slower, possibly because these are more productive sites. Additionally, the disappearance of many seal colonies on the coast could result from disturbances caused by pebble extraction. We used aerial photographs to count sacks containing pebbles. The present study provides evidence of the effect of ocean warming trends and disturbance on harbor seal distribution and abundance.
DOI: 10.17632/3g2px7fyz4
title: Clustered Sovereign Defaults

description: This folder contains the required files to replicate the results of the paper "Clustered Sovereign Defaults". Check the readme file for instructions.
DOI: 10.17632/p77tpbrgyb
title: Raw data-Clinical risk factors and atherosclerotic plaque extent to define risk for major events in patients without obstructive coronary artery disease: The long-term coronary computed tomography angiography CONFIRM registry

description: research data of the work
DOI: 10.17632/xx28h6dt26
title: Query Item Question Analysis with Bloom's Taxonomy

description: This dataset is a collection of CBT results from prospective students participating in the primary school teacher professional education program.
DOI: 10.6084/m9.figshare.25255141.v1
title: Least-cost pathways associated with Louys, J. and S. Kealy 2024. How did <i>Homo erectus</i> reach Java? Least-cost pathway models and a consideration of possible Sumatran routes. In J. Louys, P.C.H. Albers and A.A.E. van der Geer (eds), Quaternary Palaeontology and Archaeology of Sumatra, pp. 199–218. Terra Australis 56. ANU Press, Canberra.

description: KML files of the least-cost pathways calculated in Louys, J. and S. Kealy 2024. How did <i>Homo erectus</i> reach Java? Least-cost pathway models and a consideration of possible Sumatran routes. In J. Louys, P.C.H. Albers and A.A.E. van der Geer (eds), Quaternary Palaeontology and Archaeology of Sumatra, pp. 199–218. Terra Australis 56. ANU Press, Canberra.Files include two sets of models, one with a starting point in India and one in China; the latter are indicated in the file name. See levels and full model descriptions can be found in the reference above.
DOI: 10.6084/m9.figshare.25886023.v1
title: Vocalizations from hearing and deaf Egyptian fruit-bats (Rousettus Egyptiacus)

description: <b>Vocalization library of ten adult Egyptian fruit-bat, five of which were deaf.</b>This vocalization library was collected at the University of California Berkeley by Julie Elie using bats bred in the colony of the Yartsev Lab.<i>Citation</i><br>Please cite the following paper when using data from this collection:<br>Julie E Elie, Sandra E Muroy, Daria Genzel, Tong Na, Lisa A Beyer, Donald L Swiderski, Yehoash Raphael, Michael M Yartsev. Role of auditory feedback for vocal production learning in the Egyptian fruit-bat. Current Biology. 2024<br><br><i>Annotations of vocalizations in the database</i><br>The database contains vocalizations from both male and female adult (around 3-4 years old) Egyptian fruit-bats. Two males and three females were deaf while two males and three females had normal hearing (see publication for details on animals). Each vocalization or sequence of vocalizations is saved as two wav files corresponding to a recording from an ambient microphone and a recording from a piezo sensor (audiologger) located against the throat of the individual (see publication for recording details). The name of each file indicates the sex and number of the individual (Sx), the hearing status of the individual (hearing = H, deaf = D), the recording date (yymmdd) and time (HHMM), the vocalization identification number (#) and the source of recording (Source: microphone = Mic, audiologger = AL) using the following scheme:<br>Sx_H_yymmdd_HHMM_#_Source.wav<br>Example: F1_D_200123_0958_6_AL.wav<br>The identification of individuals is the same as in the above cited publication.<br><i>Contact</i><br>Julie E Elie: julie.elie@gmail.com<br>Michael M Yartsev: myartsev@berkeley.edu<br><br>
DOI: 10.4121/21692057.v1
title: Dataset metabolomics: Measurements of extracellular sugars and intracellular central carbon metabolites in Saccharomyces cerevisiae under steady-state chemostat and feast/famine regimes with different sugar substrates

description: This metabolomics dataset was generated to analyse the changes in the intracellular metabolome between both steady-state chemostat and feast/famine regime cultivation of <em>Saccharomyces cerevisiae</em> CEN.PK113-7D grown on sucrose, maltose and fructose at D = 0.1 h<sup>-1</sup>. <br> Files in this item: 1) Materials and Methods: Materials_methods_metabolomics_sugar_substrates_chemostat_FF_Verhagen.docx Describes the methodology of the reactor experiment, sampling and metabolomics analysis. 2) Metabolomics data: Metabolomics_data_steady-state_and_feast-famine_sugar_substrates_Verhagen.xlsx Contains data of extracellular sugar concentrations and intracellular central carbon metabolite concentrations, measured under both steady state chemostat conditions and feast/famine conditions with respectively fructose, sucrose and maltose as substrates.
DOI: 10.6084/m9.figshare.26172922.v2
title: <sup>“Invisible Sportswomen”: The Sex Data Gap in Sport and Exercise Science Research</sup>

description: This dataset includes information regarding participant sex from 6 sport and exercise science journals between the years 2014 and 2020. The dataset includes information on the total number of participants included in each study, the breakdown of participant sex for each article, first author surname, if the article title included the sex of specific cohort (e.g. “Facilitators and barriers to physical activity for teenage girls”), and also captured if the article focuses on a sex-specific health topic, e.g. prostate cancer, pregnancy, menstrual cycle etc. The data also include information on the number reviews and non-human research (e.g. animal or cell studies) conducted in each year for each of the six journals.
DOI: 10.6084/m9.figshare.5123563.v1
title: Supplementary Material for: Oral Glucose Loading Modulates Plasma β-Amyloid Level in Alzheimer’s Disease Patients: Potential Diagnostic Method for Alzheimer’s Disease

description: <b><i>Background:</i></b> Although plasma β-amyloid (Aβ) has been suggested to be a noninvasive diagnostic biomarker for Alzheimer’s disease (AD), its significance and validity have been inconclusive. Thus, it is quite important to establish a novel diagnostic method related to plasma Aβ. <b><i>Methods:</i></b> As our previous animal studies demonstrated a relation of glucose with plasma Aβ, we examined the effect of glucose loading on plasma Aβ levels in AD patients. After fasting, an oral glucose load was administered to AD patients and non-AD dementia patients, and subsequently, blood glucose, plasma insulin, and plasma Aβ levels were measured. <b><i>Results:</i></b> The plasma levels of baseline blood glucose, plasma insulin, and plasma Aβ were not different between the two groups. However, immediately after glucose loading, a significant increase in plasma Aβ40 and Aβ42 levels was observed in AD patients, whereas a mild decrease in plasma Aβ40 and Aβ42 levels was detected in non-AD dementia patients. <b><i>Conclusion:</i></b> The present study clearly demonstrated a different response in plasma Aβ40 and Aβ42 levels after glucose loading between AD and non-AD dementia patients, which is consistent with our previous animal studies. These findings suggest a novel diagnostic tool for AD using the elevation of plasma Aβ level after glucose loading, although further studies are necessary.
DOI: 10.15468/dl.ghvzhp
title: Occurrence Download

description: A dataset containing 65203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Helianthus annuus L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 65203 records from 769 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013008-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c5r7thhjvs
title: Original data files of paper "TMCO1 promotes ferroptosis and ECM deposition in glaucomatous trabecular meshwork via ERK1/2 signaling"

description: Original data files of paper "TMCO1 promotes ferroptosis and ECM deposition in glaucomatous trabecular meshwork via ERK1/2 signaling"
DOI: 10.17632/sxxwj858yd
title: Outputs of the simulations from REPSOL Oil Spill off Central Peru in January 2022: A modeling case study by Mogollón et al., 2023 

description: This dataset belongs to Mogollón et al., 2023 ("REPSOL Oil Spill off Central Peru in January 2022: A modeling case study")
Authors: Rodrigo Mogollón, Cinthia Arellano, Piero Villegas, Dante Espinoza-Morriberón y Jorge Tam.

The outputs of the Lagrangian experiment consist of two NetCDF files containing all the metadata and variables simulated corresponding to both, the minimum regret solution (MR.nc) and the best guess estimate (BG.nc).  In addition, the oil type (.json), the coastline (.bna), the wind time-series (.txt), the currents, and the wind forcings (.nc) files are attached. Furthermore, hourly snapshots of the particles (.zip), in .png format, are also provided.
DOI: 10.17632/xt8s5h3485
title: Techno-Economic Assessment of Energy Storage Systems using Annualized Life Cycle Cost of Storage (LCCOS) and Levelized Cost of Energy (LCOE) Metrics: Matlab Code

description: The study presents an adaptive ES cost model that considers long-term, medium-term, and short-term ES applications, technologies and technical characteristics in a financial framework supported by in-market insight, including the capital costs of the technologies; operation and maintenance costs; replacement costs during the lifetime of the system; and disposal and recycling costs, based on the current ES costs from recently published studies, as the ES costs have changed rapidly in the past few years. The data set is the Matlab code of the formulated cost model.
DOI: 10.6084/m9.figshare.17868539.v1
title: Data repository: Béchade et al. (2022), Turtle ants harbor metabolically versatile microbiomes with conserved functions across development and phylogeny.

description: Figures in the 'Additional figures' directory are additional figures with, for some, an alternative format that can facilitate the understanding of the data being displayed. The 16S rRNA phylogenetic trees additionally inform on the genetic relatedness among all Cephalotes-isolated bacteria that were used in metabolic assays.<br>Figures in the 'Protein phylogenetic trees' directory are all the protein phylogenetic trees built to identify relatedness of candidate PFCWDE-encoding genes to others from symbionts of Cephalotes ants and those described previously in the literature. These were used, in several cases, to revise annotations.<br>The 'R scripts and input tables' directory contains a set of R scripts and input files to reproduce analyses and data visualizations from Béchade et al. (2022). The R scripts can be used to make five different types of figures to visualize genomic data. The input tables are tables that were generated and used in Béchade et al. (2022).<br>Files contained in the 'Raw data and screening results' directory are mainly direct results from our screenings and analyses.
DOI: 10.6084/m9.figshare.29023259.v2
title: Extended data

description: Extended data to article :<b> </b><b>Routine Sarcopenia Evaluation: A Missing Piece in Crohn’s Disease Management?</b>
DOI: 10.17632/k3jjtym35g
title: Data for: Germanium isotopes and Ge/Si fractionation under extreme tropical weathering of basalts from the Hainan Island, South China

description: This dataset includes two Tables of the submitted manuscript.
DOI: 10.17632/k5dpzhnt7t
title: SWOT Analysis

description: An Interview-Based SWOT Analysis Using Text Clustering