cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29015138.v1
title: <b>Hugoniot equation of state and sound velocity of CaSiO</b><sub><strong>3</strong></sub><b> glass under shock compression</b>

description: This dataset contains raw data recorded by a displacement interferometer system for any reflector (DISAR) for Hugonoit and sound velocity shock-wave experiments on CaSiO3 glass.
DOI: 10.17632/swhnspgy4s
title: 2D Talwani Modelling - MATLAB Scripts

description: This dataset contains a MATLAB function to compute gravit anomaly of a given polygonal shape by using Talwani Method (Talwani & Ewing, 1959), along with a random data generator and an example script to explain the workflow. The three scripts within the pack are as follows:

- talwm.m : Main function to compute the gravity anomalies of a given 2D polygon. The gravity anomalies over (sx,sz) points are calculated resulting from a polygon whose coordinates are given in [px,pz] matrix and has a density contrast of ro. ( g = talwm(sx, sz, [px,pz], ro); )

- perlin.m : A function to create random data using Perlin Noise (Perlin, 2002). The function creates a matrix M for given size (m x n). The smoothness and center-orientation (i.e. maximum values in the center) can be modified. ( a = perlin([1,201], 0.8, 4); )

- talwani_modelling_example.m : a script showing the utilization of the talwm.m function. Subsurface is defined using polygonal areas with vertices. Their gravity anomalies are computed separately by using talwm.m. For testing, a random gravity anomaly is created using perlin.m function. The polygons are manually modified to match the random gravity anomalies with the computed ones. The script finally visualizes the gravity anomalies and the model in a single figure.


For real data cases, observed anomalies can be input into the script instead of using Perlin noise and subsurface units can be defined as needed. Building a semi-iterative procedure to match observed-computed anomalies is also possible.
DOI: 10.6084/m9.figshare.14975136.v1
title: stat_db2

description: Dataset consist of full code for the SINBAD database created in Laboratory of Human Molecular Genetics at Adam Mickiewicz University in Poznań
DOI: 10.6084/m9.figshare.23804523.v2
title: DATA-CELLSEG

description: This repository hosts the dataset created for the paper titled <b><i>Advancing instance segmentation and WBC classification in peripheral blood smear through domain adaptation: A study on PBC and the novel RV-PBS datasets</i></b>
DOI: 10.6084/m9.figshare.28772201.v2
title: TechnicalReport.pdf

description: SYSTEMATIC MAPPING STUDY ON SERIOUS AND EDUCATIONAL DIGITAL GAMES IN PREVENTION, AWARENESS AND COMBATING SEXUAL VIOLENCE
DOI: 10.6084/m9.figshare.1148960.v1
title: LTSTM data from 2000

description: This is low temperature STM data from the year 2000
DOI: 10.6084/m9.figshare.14442197.v1
title: Korso_pep.fa.gz

description: Korso protein sequences
DOI: 10.6084/m9.figshare.16437054.v8
title: A 30-m annual maize phenology dataset from 1985 to 2020 in China

description: Maize phenology dataset:This dataset provides annual dynamics of maize phenological indicators (include v3 and maturity) from 1985 to 2020 in China. The last band of every tiff file indicates the type of maize, a value of 1 represents spring maize, and a value of 2 represents summer maize.
DOI: 10.17632/8j3rcgs7jv
title: Protocol for identifying properties of ERBB receptor antagonists using the barcoded ERBBprofiler assay

description: The ERBBprofiler assay measures compound effects on ERBB family receptors and key downstream signaling pathways that are implicated in cancer or other complex diseases. Here, we present a protocol for identifying properties of ERBB receptor antagonists using the barcoded ERBBprofiler assay. We describe steps for in solution transfection, cell treatment, combined processing of samples, amplification and indexing of PCRs, sequencing, and data analysis. This approach allows for the simultaneous assessment of compound effects and cell type dependent effects. 

For complete details on the use and execution of this protocol, please refer to Popović et al, 2024, iScience.
DOI: 10.17632/g76knbxjxn
title: Observational data in 8 representative cities of Central-Eastern China

description: Archived here are the input data for MIR calculation in 8 representative cities of Central-Eastern China in the paper: Zhang, Y., Xue, L., Mu, J., Chen, T., Li, H., Gao, J., and Wang W.: Developing the maximum incremental reactivity for volatile organic compounds in major cities of Central-Eastern China, Journal of Geophysical Research, in review, 2022
DOI: 10.17632/hy969mrx9p
title: Cry, Laugh, or Angry? A Benchmark Dataset for Computer Vision-Based Approach to Infant Facial Emotion Recognition

description: This dataset is a meticulously curated dataset designed for infant facial emotion recognition, featuring four primary emotional expressions: Angry, Cry, Laugh, and Normal. The dataset aims to facilitate research in machine learning, deep learning, affective computing, and human-computer interaction by providing a large collection of labeled infant facial images.

Primary Data (1600 Images):
- Angry: 400 
- Cry: 400 
- Laugh: 400 
- Normal: 400 

Data Augmentation & Expanded Dataset (26,143 Images):
To enhance the dataset's robustness and expand the dataset, 20 augmentation techniques (including HorizontalFlip, VerticalFlip, Rotate, ShiftScaleRotate, BrightnessContrast, GaussNoise, GaussianBlur, Sharpen, HueSaturationValue, CLAHE, GridDistortion, ElasticTransform, GammaCorrection, MotionBlur, ColorJitter, Emboss, Equalize, Posterize, FogEffect, and RainEffect) were applied randomly. This resulted in a significantly larger dataset with:

- Angry: 5,781 
- Cry: 6,930 
- Laugh: 6,870 
- Normal: 6,562 

Data Collection & Ethical Considerations:
The dataset was collected under strict ethical guidelines to ensure compliance with privacy and data protection laws. Key ethical considerations include:
1. Ethical Approval: The study was reviewed and approved by the Institutional Review Board (IRB) of Daffodil International University under Reference No: REC-FSIT-2024-11-10.
2. Informed Parental Consent: Written consent was obtained from parents before capturing and utilizing infant facial images for research purposes.
3. Privacy Protection: No personally identifiable information (PII) is included in the dataset, and images are strictly used for research in AI-driven emotion recognition.

Data Collection Locations & Geographical Diversity: 
To ensure diversity in infant facial expressions, data collection was conducted across multiple locations in Bangladesh, covering healthcare centers and educational institutions:

1. 250-bed District Sadar Hospital, Sherpur (Latitude: 25.019405 & Longitude: 90.013733)
2. Upazila Health Complex, Baraigram, Natore (Latitude: 24.3083 & Longitude: 89.1700)
3. Char Bhabna Community Clinic, Sherpur (Latitude: 25.0188 & Longitude: 90.0175)
4. Jamiatul Amin Mohammad Al-Islamia Cadet Madrasa, Khagan, Dhaka (Latitude: 23.872856 & Longitude: 90.318947)

Face Detection Methodology:
To extract the facial regions efficiently, RetinaNet—a deep learning-based object detection model—was employed. The use of RetinaNet ensures precise facial cropping while minimizing background noise and occlusions.

Potential Applications:
1. Affective Computing: Understanding infant emotions for smart healthcare and early childhood development.
2. Computer Vision: Training deep learning models for automated infant facial expression recognition.
3. Pediatric & Mental Health Research: Assisting in early autism screening and emotion-aware AI for child psychology.
4. Human-Computer Interaction (HCI): Designing AI-powered assistive technologies for infants.
DOI: 10.17632/8gpzcny5t4
title: Good and Bad classification of CAKE

description: Data Description for Good and Bad Classification of Cake
The dataset used for this project comprises 1,000 samples of cakes, split evenly between two categories: Good and Bad cakes. The primary goal is to classify a given cake sample as either Good or Bad based on a variety of attributes.

Data Structure:
Total Samples: 1,000
Good Cakes: 500
Bad Cakes: 500
Each sample in the dataset is represented by a set of features that capture different physical, chemical, and sensory properties of the cakes. The dataset includes a mix of numerical and categorical variables that help in differentiating between good and bad quality cakes. Below is a summary of the key features included:

Features:
Appearance:

Colour: Categorical variable indicating the external colour of the cake (e.g., Golden, Dark, Pale).
Surface Texture: Categorical variable representing the texture of the cake's surface (e.g., Smooth, Cracked, Rough).
Moisture Content:

Numerical variable (percentage) indicating the moisture content of the cake. This affects the cake's softness and freshness.
Weight:

Numerical variable representing the weight of the cake in grams. A deviation from the expected weight could indicate quality issues.
pH Level:

Numerical variable representing the pH level of the cake, which influences its taste and shelf life.
Ingredient Proportion:

Numerical variables indicating the proportions of key ingredients such as flour, sugar, eggs, and fat. Incorrect proportions can result in poor quality cakes.
Baking Time and Temperature:

Numerical variables representing the baking time (minutes) and baking temperature (degrees Celsius). Over or under-baking can affect the cake's texture and quality.
Texture Profile:

Categorical variable based on texture profile analysis (e.g., Firmness, Crumbliness, Springiness). These characteristics are crucial in determining whether the cake is classified as Good or Bad.
Flavour Intensity:

Numerical variable (scale of 1-10) rating the flavour intensity of the cake. Bland or overpowering flavours could be indicators of poor quality.
Aroma:

Categorical variable indicating the strength of the cake's aroma (e.g., Strong, Mild, Faint). The aroma is a critical sensory feature for classification.
Crumb Structure:

Categorical variable describing the internal crumb structure of the cake (e.g., Fine, Coarse, Dense). A good cake typically has a fine, uniform crumb structure.
Shelf Life Indicator:

Binary variable indicating whether the cake is within its optimal shelf life (1 = Yes, 0 = No). Cakes past their shelf life are more likely to be classified as Bad.
Sensory Panel Rating:

Numerical variable (scale of 1-10) based on evaluations from a sensory panel. This rating is a comprehensive indicator of overall cake quality.
Defects:

Categorical variable listing specific defects observed in bad cakes (e.g., Soggy Bottom, Burnt Edges, Uneven Rise).
DOI: 10.17632/mkd998xj9j
title: Research Questionnaire

description: This is the result of a research questionnaire that analyzes how gamification elements such as rewards, levels, and points affect three main aspects of Self-Determination Theory (SDT), namely autonomy, competence, and relatedness. These three aspects affect intrinsic motivation which then affects satisfaction and continuance intention in using digital banking applications. Meanwhile, satisfaction and continuance intention are also influenced by confirmation and perceived usefulness. We distributed questionnaires digitally and analyzed data from users in Indonesia who had used digital banking applications. We have received a total of 415 questionnaire answers from users with a time span of about 3 months.
DOI: 10.17632/n9kyt8ywrr
title: A Comprehensive Dataset on India's mining policies, royalties and taxation structure

description: The dataset presented is purely secondary in nature. For a long time, sale prices of minerals in India and changes in regulatory costs have always been shifted to end use consumers within the all inclusive sale price implying that rising royalty charges have increased the consolidated sale price of the mineral overall due to the ad valorem nature of the royalty determination. Data presented addresses this cascading level of taxation significantly affecting the mining industry, moreso since the incorporation of levies of DMF and NMET etc. It also presents comparative data for Goa and Odisha; two states associated with extremely high mining illegalities. The impact of loss to the state exchequers of such high scale can be easily reflected by these acutely affected areas. Mass data presented for India along these paradigms is extremely scanty and necessitate further comparative analyses on similar parameters corresponding to other mineral rich states available, apart from Goa and Odisha, to be able to provide for improving policies, regulatory behaviour and better overall performance in the Indian mineral sector.
DOI: 10.6084/m9.figshare.28845713.v1
title: FigShare_2DcolloidalrodNetworks

description: Series of .tif images of quasi 2D colloidal rods network formation as a function of the electric field frequency. In the name the field conditions and the objective magnification is indicated. We have updated both pictures and movies associated with various field conditions.<br><br>In the simulation.zip folder we have the code for simulations with a README.txt file with the instructions to use it.<br><br>
DOI: 10.15468/dl.44emv3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((37.8208 19.3058,37.7519 19.8496,35.9648 19.8496,35.9648 10.8496,44.9648 10.8496,44.9648 11.0757,44.5079 10.8984,44.021 11.3535,43.8449 12.4869,43.4392 13.1773,42.7805 13.6576,42.3014 14.2854,41.9925 14.3935,41.4722 15.0272,40.477 15.6908,40.2575 16.0951,39.9024 16.3482,38.9748 18.3342,37.8208 19.3058))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013010-250525065834625/datasets/export for details.
DOI: 10.17632/wsvn7pdc5y
title: Innovative Colorimetric Thermal Study of Methylcellulose Hydrogel via Smartphone Imaging- Data and Code

description: Colorimetry has shown highly effective results in measuring the temperature of methylcellulose hydrogel and demonstrated the potential to detect both gelation and degelation processes. This capability could be extended to identifying gelation in a wide range of gels. The dataset includes both the images analyzed in the study and full images of the methylcellulose, for further insights. Additionally, the MATLAB code used for the analysis in the paper is included in this dataset.
DOI: 10.17632/dxrp4b656h
title: MircoEnv

description: These data were used to quantify the impacts of air pollution policies on population health and health inequalities within a microsimulation model, MicroEnv [1]. They provide a basis for comparing results from similar models and allow researchers to integrate additional model components. [1] P. Symonds, E. Hutchinson, A. Ibbetson, J. Taylor, J. Milner, Z. Chalabi, M. Davies, P. Wilkinson, MicroEnv: A microsimulation model for quantifying the impacts of environmental policies on population health and health inequalities, Science of The Total Environment, Volume 697, (2019) 134105, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2019.134105.
DOI: 10.17632/mjk4wnp397
title: Infrequent Laboratory Abnormalities During Terbinafine Therapy for Onychomycosis:  A Retrospective Cohort Analysis within an Integrated Health System - Supplemental Materials

description: Supplemental Material for JAAD Research Letter - "Infrequent Laboratory Abnormalities During Terbinafine Therapy for Onychomycosis:  A Retrospective Cohort Analysis within an Integrated Health System"
DOI: 10.15468/dl.dnj7hy
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Pristimantis Jiménez de la Espada, 1870"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013011-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b3z32xsk9z
title: Supplementary: Cosmetic Procedure Use as a Type of Substance-Related Disorder

description: Supplementary figures and tables to "Cosmetic Procedure Use as a Type of Substance-Related Disorder" published in the Journal of American Academy of Dermatology.
DOI: 10.6084/m9.figshare.12059526.v3
title: Code and Data to reproduce "Structural network characteristics affect epidemic severity and prediction in social contact networks"

description: Code and data to reproduce the analyses from the manuscript:<br>McKee, J, T Dallas. Structural network characteristics affect epidemic severity and prediction in social contact networks
DOI: 10.6084/m9.figshare.26531905.v1
title: Data for manuscript "Subcritical nuclear test verification withvpost-experiment gamma spectrometry"

description: This file contains the data that are used to produce results and plots in this research. These data are used to construct gamma spectra measured by a simulated detector outside of the containment vessel where the test was conducted. The folder "isotopic_data" contains isotopic composition of the debris and the vessel at multiple time points after the test. These compositions are provided for various values of test parameters such as alpha_m (the maximum value of the prompt neutron decay constant), n_0 (the initial number of fission per kg of plutonium-239), and t_i (the incubation time), categorized in that order within the folder levels. This data has been generated using neutronics and isotopic simulations with the code OpenMC and ONIX. The folder "detector_signal_data" contains pre-computed gamma spectra measured by the simulated detector per mol of each relevant nuclide. For instance, the file "detector_Cs-137_pit.py" contains the gamma spectrum that would be measured if the debris inside the vessel only contained one mol of Cs-237 in addition to the plutonium metal and beryllium. To produce this data we first use OpenMC to transport gamma emissions within the vessel to compute the current just outside the vessel's surface. Then, from this current, we transported the emissions toward the gamma detector to produce a nuclide-specific gamma response in the detector. In order to generate overall gamma spectra from a given isotopic composition in the debris, our code conducts a linear combination of the nuclide-specific spectra weighted by the actual moles of each nuclide as computed in the isotopic_data files.
DOI: 10.17028/rd.lboro.23261072.v1
title: Supplementary information files for Microstructure and ionic conductivities of NASICON-type Li₁.₃A1₀.₃Ti₁.₇(PO₄)₃ solid electrolytes produced by cold sintering assisted process

description: Supplementary files for article Microstructure and ionic conductivities of NASICON-type Li₁.₃A1₀.₃Ti₁.₇(PO₄)₃ solid electrolytes produced by cold sintering assisted process
Li1.3Al0.3Ti1.7(PO4)3 (LATP) is a promising solid electrolyte for lithium-ion batteries. However, it is challenging to densify LATP ceramics at reduced sintering temperature while preserving their electrical properties. Herein, LATP ceramics were pre-densified via cold sintering process (CSP) at 250 °C for 1 h and exhibited room temperature ionic conductivity of 2.01 × 10−6 S/cm. Subsequent post-annealing at as low as 900 °C for 1 h resulted in two orders of magnitude improvement in both grain boundary conductivity and total conductivity, compared to those of as-CSPed LATP. The optimal total conductivity (4.29 × 10−4 S/cm) obtained from post-annealed material is among the best reported values so far. It is also 5 times greater than the conductivity (8.51 × 10−5 S/cm) of the conventionally sintered LATP. We propose that post-annealing effectively eliminates amorphous insulating phases generated during CSP and promotes crack-free microstructure with moderate grain growth, which collectively contributes to dramatically enhanced conductivity. This work unambiguously demonstrates that CSP-assisted process can avoid the detrimental effects of high temperature associated with conventional sintering on microstructure and conductivity, and thus is a cost-effective processing route for fabrication of solid-state electrolytes for battery applications. 
<br>
<br>
DOI: 10.17632/f5hwpppks9
title: Preprocessed Dataset

description: The links for the raw data sources.
The dataset which has been preprocessed for using in the models.
DOI: 10.17632/mrvrbh8hg6
title: Replication data for: Delivery in the City: Differentiated Products Competition among New York Restaurants

description: The code and data required to replicate all exhibits in our paper, "Delivery in the City: Differentiated Products Competition among New York Restaurants," forthcoming in the Journal of Urban Economics. The data consists of 550,000 menus collected over 68 consecutive weeks for New York City restaurants, a dataset of new restaurants hand coded from New York City restaurant inspections data, and select US Census data for the New York metropolitan area. See the README file for detailed instructions on replication; see our paper for details on the dataset. For researchers without access to the Journal of Urban Economics, a page proof copy of the paper is available at https://www.nathanschiff.com/webdocs/my_papers/SchiffCosmanDai_final.pdf.
DOI: 10.17632/vpt7rkjjm9
title: Isotope date of sulfur- and thiosulfate-dependent denitrification

description: The data include concentrations of nitrate, nitrite, N2O, and isotope values of nitrate and N2O during sulfur- and thiosulfate-dependent denitrification in freshwaters
DOI: 10.6084/m9.figshare.17701079.v1
title: EEG Dataset for RSVP and P300 Speller Brain-Computer Interfaces

description: EEG dataset for subject 04
DOI: 10.6084/m9.figshare.3561759.v1
title: Appendix F. Processing 16S pyrosequencing data.

description: Processing 16S pyrosequencing data.
DOI: 10.17632/thpdf5vp8p
title: Raw waveform microtremor data recorded at liquefaction site of Petobo

description: These raw waveform microtremor data were acquired using (3C) Guralp CMG 6T-D broadband seismometer. These raw waveform microtremor data were collected using 100 samples per second rate.
DOI: 10.17632/tns8c38r6d
title: Body Measurements (Anthropometry)

description: Anthropometry is the study of measuring the human body in terms of bone dimensions, muscle mass, and adipose tissue. This database contains the measurements of 9 university students, with a total of 29 anthropometric attributes recorded. This work is the first in a series aimed at ultimately developing an ergonomic-compliant instructional workstation.
DOI: 10.6084/m9.figshare.11927247.v1
title: Earth Analytics Bootcamp | Teaching Dataset | Monthly Average Temperature Data for Sonoma County Airport and San Diego Area (individual CSV files for 1999 to 2003)

description: This teaching data subset contains data on average monthly maximum temperature (Fahrenheit) at Sonoma County Airport and San Diego Area. <br>There are individual CSV files for each site and year from 1999 to 2003 (e.g. Sonoma-1999-temp.csv is for Sonoma in 1999). Each file has headers and contains one row for the year and 12 columns (one for each month from January to December).<br>Source: National Weather Service
DOI: 10.6084/m9.figshare.3516362.v1
title: Appendix A. Calculating the game encounter rate e from line-transect data.

description: Calculating the game encounter rate e from line-transect data.