cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/b75jgt867d
title: Original Data for Digital Reconstruction Technology of Large Laser Melt Pools

description: This folder contains the original data used in the main text of 'Large-Size Laser Melt Pool Digital Reconstruction for Additive-Subtractive Strengthening Parameter Selection', including raw metallographic observation images, original force measurement data, and the original calculation results of the temperature field model.
1. The folder “Original calculation results for Fig 5 - 6” contains the original calculation results for the temperature field model, with each operating condition corresponding to a subfolder. The .mat files within these subfolders represent temperature distribution matrices for their respective simulation time points. Running the Show script will generate temperature images. Note that the computational results generated during the experiment are extensive. Only a few key simulation time points are provided here. For the complete dataset, please contact the corresponding author: Sun Cong Northeast University suncong1@mail.neu.edu.cn 
2. The folder “Original Image for Fig 12” contains the original images captured by a metallurgical microscope. The imaging equipment used is the WMJ-9688 research microscope manufactured by Shanghai Yuguang Instruments. The original images in the main text have been cropped, with the cropped area being the central region of each image. 
3. The Data.mat file in the “Original measured grinding force for Fig 13” folder contains the measured dynamic grinding force data. Running the Showdata script will plot the grinding force curve.
DOI: 10.17632/b75jgt867d.1
title: Original Data for Digital Reconstruction Technology of Large Laser Melt Pools

description: This folder contains the original data used in the main text of 'Large-Size Laser Melt Pool Digital Reconstruction for Additive-Subtractive Strengthening Parameter Selection', including raw metallographic observation images, original force measurement data, and the original calculation results of the temperature field model.
1. The folder “Original calculation results for Fig 5 - 6” contains the original calculation results for the temperature field model, with each operating condition corresponding to a subfolder. The .mat files within these subfolders represent temperature distribution matrices for their respective simulation time points. Running the Show script will generate temperature images. Note that the computational results generated during the experiment are extensive. Only a few key simulation time points are provided here. For the complete dataset, please contact the corresponding author: Sun Cong Northeast University suncong1@mail.neu.edu.cn 
2. The folder “Original Image for Fig 12” contains the original images captured by a metallurgical microscope. The imaging equipment used is the WMJ-9688 research microscope manufactured by Shanghai Yuguang Instruments. The original images in the main text have been cropped, with the cropped area being the central region of each image. 
3. The Data.mat file in the “Original measured grinding force for Fig 13” folder contains the measured dynamic grinding force data. Running the Showdata script will plot the grinding force curve.
DOI: 10.6084/m9.figshare.30987070
title: Electropherograms of STR markers used in this study

description: STR rawdata used in the study.
DOI: 10.6084/m9.figshare.30987070.v1
title: Electropherograms of STR markers used in this study

description: STR rawdata used in the study.
DOI: 10.17632/tsfs9fhn5y
title: Simultaneous EEG-fNIRS Data on Learning Capability via Implicit Learning Induced by Cognitive Tasks

description: The dataset procured by this research was used to systematically identify the relationship between implicit learning events and neurological signals’ characteristics by measuring the participant’s brain state as they performed cognitive tasks experiments. Implicit learning is the ability to learn complex information without explicit awareness, commonly seen in small children while learning to speak their native language for the first time without learning grammar. Research suggests that people skilled at implicit learning tend to learn faster. The implicit learning of the underlying rules, commonly used in learning approaches, is of interest. Simultaneous measurement of Encephalography (EEG) and Functional Near-Infrared Spectroscopy (fNIRS) signals at shared locations over the head was obtained to understand participants’ learning ability in a laboratory setting. Utilizing the data obtained from measuring both electrophysiological activity and hemodynamic responses at the same locations at the same time could bring about new insights, leading to new findings for neurovascular coupling in the brain and extending knowledge on how brains work. This dataset comprised EEG and fNIRS data from thirty healthy adults (age 21-29) while undergoing cognitive serial reaction times task experiments. The participants’ data from each data type are divided into two main groups: participants deemed to have achieved implicit learning during the experiment and those who did not. The differentiations were evaluated during the post-interviews of the experiment. This grouping of datasets could be used for classification applications. Brain data in this research can help identify prominent brain areas and features or patterns corresponding to implicit learning events. Thus, it can be used to identify and develop a learning detection model. With the detection model, a form of neurofeedback training regimen or therapy could be developed to produce a better and novel teaching approach.

Chaiyanan, C.; Angsuwatanakul, T.; Iramina, K.; Kaewkamnerdpong, B. Simultaneous EEG-fNIRS Data on Learning Capability via Implicit Learning Induced by Cognitive Tasks. Data 2025, 10, 131. https://doi.org/10.3390/data10080131
DOI: 10.17632/tsfs9fhn5y.2
title: Simultaneous EEG-fNIRS Data on Learning Capability via Implicit Learning Induced by Cognitive Tasks

description: The dataset procured by this research was used to systematically identify the relationship between implicit learning events and neurological signals’ characteristics by measuring the participant’s brain state as they performed cognitive tasks experiments. Implicit learning is the ability to learn complex information without explicit awareness, commonly seen in small children while learning to speak their native language for the first time without learning grammar. Research suggests that people skilled at implicit learning tend to learn faster. The implicit learning of the underlying rules, commonly used in learning approaches, is of interest. Simultaneous measurement of Encephalography (EEG) and Functional Near-Infrared Spectroscopy (fNIRS) signals at shared locations over the head was obtained to understand participants’ learning ability in a laboratory setting. Utilizing the data obtained from measuring both electrophysiological activity and hemodynamic responses at the same locations at the same time could bring about new insights, leading to new findings for neurovascular coupling in the brain and extending knowledge on how brains work. This dataset comprised EEG and fNIRS data from thirty healthy adults (age 21-29) while undergoing cognitive serial reaction times task experiments. The participants’ data from each data type are divided into two main groups: participants deemed to have achieved implicit learning during the experiment and those who did not. The differentiations were evaluated during the post-interviews of the experiment. This grouping of datasets could be used for classification applications. Brain data in this research can help identify prominent brain areas and features or patterns corresponding to implicit learning events. Thus, it can be used to identify and develop a learning detection model. With the detection model, a form of neurofeedback training regimen or therapy could be developed to produce a better and novel teaching approach.

Chaiyanan, C.; Angsuwatanakul, T.; Iramina, K.; Kaewkamnerdpong, B. Simultaneous EEG-fNIRS Data on Learning Capability via Implicit Learning Induced by Cognitive Tasks. Data 2025, 10, 131. https://doi.org/10.3390/data10080131
DOI: 10.17632/7hcx473jpc
title: A Heideggerian Hermeneutic Phenomenological Study of the Psychosocial Experience of Infertility among Couples in Takoradi, Ghana

description: This dataset contains four fully anonymized qualitative interview transcripts with married couples experiencing infertility. The data was collected in Takoradi, Ghana. The interviews explore the lived psychosocial experiences of infertility, covering themes such as emotional distress, marital dynamics, social stigma, cultural and religious influences, coping strategies, and sources of hope. All direct identifiers have been removed or generalized to protect participant confidentiality. The transcripts are provided in English and are intended for secondary analysis in qualitative research related to infertility, global health, psychosocial well-being, and cultural studies.
DOI: 10.17632/7hcx473jpc.1
title: A Heideggerian Hermeneutic Phenomenological Study of the Psychosocial Experience of Infertility among Couples in Takoradi, Ghana

description: This dataset contains four fully anonymized qualitative interview transcripts with married couples experiencing infertility. The data was collected in Takoradi, Ghana. The interviews explore the lived psychosocial experiences of infertility, covering themes such as emotional distress, marital dynamics, social stigma, cultural and religious influences, coping strategies, and sources of hope. All direct identifiers have been removed or generalized to protect participant confidentiality. The transcripts are provided in English and are intended for secondary analysis in qualitative research related to infertility, global health, psychosocial well-being, and cultural studies.
DOI: 10.17632/dj62gg2jts
title: Family Insurance Listed Non listed

description: This data is used to test the performance difference between listed and non listed insurance in Thailand
DOI: 10.17632/dj62gg2jts.2
title: Family Insurance Listed Non listed

description: This data is used to test the performance difference between listed and non listed insurance in Thailand
DOI: 10.5517/ccdc.csd.cc2qd3cm
title: CCDC 2514080: Experimental Crystal Structure Determination

description: Related Article: yanjuan Wang|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/myp3sd2zkh
title: Good and bad classification of chicken breast(Gallus gallus domesticus)

description: Good and bad classification of Chicken breast is a 
The boneless, skinless breast comes from the chest muscle of the chicken.
Mild flavor and tender texture when cooked properly.
Nutritional value (per ~100 g, cooked)
Protein: ~31 g
Fat: ~3–4 g
Calories: ~165 kcal
Low cholesterol, no carbs
Rich in vitamin B6, niacin, phosphorus, selenium
Health benefits
Supports muscle growth and repair.
Suitable for weight management and heart-healthy diets
Easy to digest, commonly used in clinical and sports nutrition
Quality & safety tips
Fresh breast is pink, firm, and odor-free
Store at 0–4 °C; 2. Shelf Life of Chicken Breast
a) Fresh / Chilled (0–4 °C):
Shelf life: 2–3 days (up to 4–5 days if hygienically packed and vacuum sealed)
b) Frozen (–18 °C or below):
Shelf life: 6–9 months (best quality within 6 months)
Sample Preparation of Chicken Breast Malda, West Bengal, is located around 25.01° N latitude and 88.14° E longitude
Aseptic Collection:
Collect fresh chicken breast using sterile gloves and instruments.
Place in a sterile, labeled container.
Washing of Chicken Breast (Sample Preparation Step)
Wash the chicken breast gently with sterile distilled water to remove surface dirt, blood, and loose contaminants.
Camera Details
Rear (Triple) Camera Setup:
• 13 MP main camera (wide-angle, f/2.2)
Battery Capacity: 5000 mAh 
Beebom Gadgets
Charging: 15 W wired fast-charging support (charger included) If you have 500 good chicken breast pictures and 500 bad (spoiled/defective) chicken breast pictures, then:
Good images: 500
Bad images: 500
Total images: 1000
DOI: 10.5517/ccdc.csd.cc2qd3dn
title: CCDC 2514081: Experimental Crystal Structure Determination

description: Related Article: yanjuan Wang|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qd3fp
title: CCDC 2514082: Experimental Crystal Structure Determination

description: Related Article: yanjuan Wang|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/myp3sd2zkh.1
title: Good and bad classification of chicken breast(Gallus gallus domesticus)

description: Good and bad classification of Chicken breast is a 
The boneless, skinless breast comes from the chest muscle of the chicken.
Mild flavor and tender texture when cooked properly.
Nutritional value (per ~100 g, cooked)
Protein: ~31 g
Fat: ~3–4 g
Calories: ~165 kcal
Low cholesterol, no carbs
Rich in vitamin B6, niacin, phosphorus, selenium
Health benefits
Supports muscle growth and repair.
Suitable for weight management and heart-healthy diets
Easy to digest, commonly used in clinical and sports nutrition
Quality & safety tips
Fresh breast is pink, firm, and odor-free
Store at 0–4 °C; 2. Shelf Life of Chicken Breast
a) Fresh / Chilled (0–4 °C):
Shelf life: 2–3 days (up to 4–5 days if hygienically packed and vacuum sealed)
b) Frozen (–18 °C or below):
Shelf life: 6–9 months (best quality within 6 months)
Sample Preparation of Chicken Breast Malda, West Bengal, is located around 25.01° N latitude and 88.14° E longitude
Aseptic Collection:
Collect fresh chicken breast using sterile gloves and instruments.
Place in a sterile, labeled container.
Washing of Chicken Breast (Sample Preparation Step)
Wash the chicken breast gently with sterile distilled water to remove surface dirt, blood, and loose contaminants.
Camera Details
Rear (Triple) Camera Setup:
• 13 MP main camera (wide-angle, f/2.2)
Battery Capacity: 5000 mAh 
Beebom Gadgets
Charging: 15 W wired fast-charging support (charger included) If you have 500 good chicken breast pictures and 500 bad (spoiled/defective) chicken breast pictures, then:
Good images: 500
Bad images: 500
Total images: 1000
DOI: 10.17632/nwkdf22cn9.1
title: Dataset and Python-based Machine Learning tools for data-driven modeling of water adsorption isotherms in cocoa beans

description: This dataset provides experimental water adsorption isotherms for dried and roasted cocoa beans (Theobroma cacao L.) and Python-based machine learning tools for data-driven modeling. Isotherms were measured using the Dynamic Dewpoint Isotherm (DDI) method across a water activity range of 0.1-0.85 and temperatures of 25, 30, and 40 °C. The dataset includes raw and organized Excel files containing equilibrium moisture content, water activity, experimental conditions, and replicates, enabling reproducible modeling. Fully documented Python scripts implement Support Vector Regression, Random Forest, and Artificial Neural Networks for predicting moisture content as a function of water activity, temperature, and cocoa type, supporting multivariate analyses. This database facilitates prediction of cocoa beans’ moisture content, assesment of storage, and optimization of post-harvest storage strategies for researchers, producers, and industry stakeholders.
DOI: 10.17632/wvjyj5fwjk
title: Making Paper Pay: Commercial Paper Trading Facilitation and Corporate Tax Avoidance

description: The data for replication is in files "EM data".
DOI: 10.17632/wvjyj5fwjk.1
title: Making Paper Pay: Commercial Paper Trading Facilitation and Corporate Tax Avoidance

description: The data for replication is in files "EM data".
DOI: 10.17632/d2sk62trvk
title: Rule-Based Profit Taxation in Dynamic Cournot Oligopoly: Transmission, Stability and Welfare - replication code

description: This dataset contains the MATLAB replication package for the article *“Rule-Based Profit Taxation in Dynamic Cournot Oligopoly: Transmission, Stability, and Welfare”*. The code implements the discrete-time bounded-rationality Cournot oligopoly model with a welfare-based, rule-updated profit tax rate and an effective tax transmission parameter. It reproduces the numerical simulations reported in the paper, including time-series dynamics of outputs, profits, welfare and the endogenous tax rate, bifurcation diagrams with respect to the transmission parameter, and chaos diagnostics based on the 0–1 test. It also generates the shock experiments (demand-intercept shocks), including firm-exit/persistence outcomes across shock magnitudes and timing. The package includes the main scripts and a README with instructions to run the code and reproduce figures/tables.
DOI: 10.15468/dl.vecryw
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Israel",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus euphratica"
 ]
}

 The dataset includes 144 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070952-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d2sk62trvk.1
title: Rule-Based Profit Taxation in Dynamic Cournot Oligopoly: Transmission, Stability and Welfare - replication code

description: This dataset contains the MATLAB replication package for the article *“Rule-Based Profit Taxation in Dynamic Cournot Oligopoly: Transmission, Stability, and Welfare”*. The code implements the discrete-time bounded-rationality Cournot oligopoly model with a welfare-based, rule-updated profit tax rate and an effective tax transmission parameter. It reproduces the numerical simulations reported in the paper, including time-series dynamics of outputs, profits, welfare and the endogenous tax rate, bifurcation diagrams with respect to the transmission parameter, and chaos diagnostics based on the 0–1 test. It also generates the shock experiments (demand-intercept shocks), including firm-exit/persistence outcomes across shock magnitudes and timing. The package includes the main scripts and a README with instructions to run the code and reproduce figures/tables.
DOI: 10.17632/6zffcbxb6g.1
title: Data & Code: Institutional Investor Distraction and Corporate Greenhushing

description: This folder contains Stata code and related data files used for regression analysis. The data and code used in this document are compatible with Stata MP18.
DOI: 10.17632/dtwjr2wsgs
title: Tau and Futsch play non-neuronal roles in mediating morphogenesis and function of Drosophila Malpighian tubules. Neha Tiwari

description: Data sets used for statistical analysis are shown in the graphs in the Tiwari and Tapadia manuscript.
DOI: 10.17632/dtwjr2wsgs.1
title: Tau and Futsch play non-neuronal roles in mediating morphogenesis and function of Drosophila Malpighian tubules. Neha Tiwari

description: Data sets used for statistical analysis are shown in the graphs in the Tiwari and Tapadia manuscript.
DOI: 10.17632/r7gmhfjcyc
title: Replication data for "Exploring the US Professional Leagues Priorities: Profit or Victory?"

description: The dataset contains information collected from ESPN, Forbes, Spotrac and other sources to reproduce the results of the "Exploring the US Professional Leagues Priorities: Profit or Victory?" paper.
DOI: 10.6084/m9.figshare.30958295.v2
title: Natural molecule potentiates colistin efficacy <i>in vivo</i> via modulating adaptive LPS modifications and ferroptotic-like damages

description: Colistin holds clinical importance as a last resort therapy against infections caused by multidrug-resistant Gram-negative pathogens. In addition to well-studied plasmid-encoded <i>mcr</i> alleles, the adaptive mechanisms primed by host conditions are increasingly evidenced to be responsible for suboptimal efficacy of colistin in clinical practice, yet have long been neglected. Herein, we reported the identification of baicalein that potentiates colistin killing <i>in vitro</i> and <i>in vivo</i> by manipulating bacterial labile iron pool, where ferrous iron accumulates at the expense of ferric and total iron. This change in iron abundance leads to inactivation of the PmrA/B two-component system and subsequent PmrA/B-dependent lipopolysaccharide modifications, finally promoting colistin to bind and destabilize the bacterial membrane. Meanwhile, increased ferrous iron, in response to colistin-induced ROS, results in ferroptotic-like damage, which generates lethal reactive electrophilic species to deteriorate the essential cellular constituents. These data underscore an exploitable link between iron homeostasis and colistin susceptibility, as both primary and secondary actions of colistin respond to the shifts in cellular labile iron. To sum, this study offers a translationally viable regimen of baicalein-colistin combination against Gram-negative pathogen infection and reveals the cellular labile iron as a generally applicable target for developing next-generation colistin adjuvants.
DOI: 10.17632/r7gmhfjcyc.1
title: Replication data for "Exploring the US Professional Leagues Priorities: Profit or Victory?"

description: The dataset contains information collected from ESPN, Forbes, Spotrac and other sources to reproduce the results of the "Exploring the US Professional Leagues Priorities: Profit or Victory?" paper.
DOI: 10.13140/rg.2.2.28300.37760
title: Peer Review Certificate - Journal of Information Science and Engineering
DOI: 10.48597/g8me-5gu3
title: VOC (aromatics) at Priolo

description: Measurement of VOC (aromatics) at Priolo
DOI: 10.48597/ztbu-z8n7
title: Measurement of VOC (aromatics) at Priolo

description: Measurement of VOC (aromatics) at Priolo
DOI: 10.48597/b3m3-6qsz
title: Measurement of VOC (aromatics) at Priolo

description: Measurement of VOC (aromatics) at Priolo