cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fpdvs2hh2t
title: Data for: External reflectance FTIR dataset (4000 - 400 cm-1) for the identification of relevant mineralogical phases forming Cultural Heritage materials

description: The dataset here proposed is composed of over 190 spectra of single crystal specimens (including gem quality ones) and ornamental stones supplied by the Department of Sciences and Technology of the University of Sannio (Benevento, Italy). Additional organic compounds, such as waxes, resins, proteins, commonly used as protective of geomaterials in Cultural Heritage, are also provided in this contribution. All the samples have been analyzed by means of a Bruker Optics Alpha-R portable FTIR spectrometer with an External Reflectance (ER) head for contactless and non-destructive analyses. For further details refer to the paper titled "External reflectance FTIR dataset (4000 - 400 cm-1) for the identification of relevant mineralogical phases forming Cultural Heritage materials" and authored by Izzo et al.
DOI: 10.17632/3mz4t73sss
title: Predicting Olympic Medal Tally: An XGBoost Model for Forecasting and Investment in Sports Development

description: The data set used in article Predicting Olympic Medal Tally: An XGBoost Model for Forecasting and Investment in Sports Development
DOI: 10.17632/76c2j7bbbd
title: Ventromedial prefrontal area 14 provides opposing regulation of threat and reward-elicited responses in the common marmoset

description: Data related to PNAS article: 10.1073/pnas.2009657117. The effects of inactivating and overactivating Area 14 of the common marmoset on basal cardiovascular activity, distal and proximal threat reactivity, and anticipatory arousal.
DOI: 10.17632/7hp5kdz756
title: Tolerability and effectiveness of low-dose oral minoxidil for alopecia in patients with breast cancer: a retrospective cohort study

description: Supplementary Table I. Demographics, cardiovascular comorbidities, and concomitant non-CTX medications in patients with and without CTX exposure.
DOI: 10.17632/p2d5mmb8js
title: Good and bad classification of apple

description: Sure! Here's a concise data description within 3000 characters for a project titled "Good and Bad Classification of Apples":


---

Project Title: Good and Bad Classification of Apples

Data Description:

The dataset used in this project is centered around the classification of apples into two categories: good (fit for sale/consumption) and bad (damaged, rotten, or otherwise unfit). The dataset comprises images of apples collected under controlled as well as natural conditions, and optionally, corresponding annotations or metadata.

1. Data Types:

Image Data: The primary data consists of RGB images of individual apples.

Labels: Each image is labeled as either “good” or “bad”.

Optional Metadata (if available):

Time of capture

Lighting condition

Apple variety

Temperature or humidity readings at the time of image capture



2. Image Characteristics:

Resolution: Images range from 224x224 to 512x512 pixels.

Background: Mixture of plain (controlled lab settings) and complex (orchard or market environments).

Lighting: Includes both natural and artificial lighting.

Angle and Orientation: Varies to simulate real-world usage scenarios in sorting systems.


3. Good Apples:

Visually appealing

No visible bruises, rot, or mold

Uniform shape and color

Examples might show apples with minimal surface blemishes or minor imperfections


4. Bad Apples:

Presence of:

Mold

Bruising

Cuts or cracks

Discoloration or rot


Some may be partially decomposed

Often irregular in shape or visibly damaged


5. Sources:

Agricultural research datasets

Custom image captures from farms or marketplaces

Open-source image repositories with suitable licensing (e.g., Creative Commons)


6. Data Split:

Training set: 70%

Validation set: 15%

Test set: 15%

Stratified to ensure balanced class representation across splits


7. Preprocessing:

Image resizing and normalization

Data augmentation (flipping, rotation, brightness/contrast adjustments) to increase model robustness

Optional noise filtering and background removal to improve focus on the apple surface


8. Use Cases:

Automated sorting systems in agriculture

Quality control for fruit suppliers and supermarkets

Educational tools for machine learning in agricultural contexts



---

Let me know if you’d like to include technical details about models or preprocessing pipelines as well.
DOI: 10.17632/7sys44td9c
title: Saudi Currency Dataset

description: Automatic detection and recognition of banknotes could be a highly important technology for people with visual impairments as well as banks, providing easy administration for dealing with diverse paper currencies. With this purpose in mind, we created the Saudi riyal banknotes dataset with annotations.  We utilized a smartphone camera to create our new dataset consist of Saudi riyals.
All market-acceptable currency notes are used, including 1, 5 riyal notes, 10 and 20 riyal notes, 50 riyal notes, and new 100, 200, and 500 riyal notes. We capture photos from multiple viewpoints to extract additional information from the image. For each Saudi riyal, we employ twelve distinct angles. Our dataset includes 2000 labeled photos. For annotating our photos in our dataset, we utilize Pascal Visual Object Classes. The dataset is made up of "train" and "test" photos in a 90:10 ratio.
DOI: 10.17632/fmtgzw5mmp
title: Data for: Hermetic storage technologies reduce maize pest damage in smallholder farming systems in Mexico

description: CIMMYT and its network of collaborators in Mexico, conducted a series of experiments across agroecological zones of Mexico in 2017 and 2018 to evaluate the effect of different storage technologies on postharvest losses of maize. Experiments were conducted under “controlled” (i.e., managed by researchers) and “non-controlled” conditions (i.e., on-farm managed by extension agents). Each experiment compared the conventional storage technology (polypropylene bag with and/or aluminum phosphide or deodorized malathion) commonly used by farmers in the area to one or more other storage technologies (selected from hermetic metal silos, hermetic bags, recycled plastic containers, silage plastic bags, polypropylene bag with standard lime-calcium hydroxide- polypropylene bag with micronized lime). Data collected at the beginning and the end of each experiment included: (1) characteristics of the site of experiments (elevation, municipality, state, type of climate); (2) storage technologies evaluated; (3) grain characteristics (type of variety-hybrid or native-, moisture content, temperature); (4) grain damage data (percentage of grain impurities, percentage of insect-damaged grain, percentage of fungi-damaged grain, percentage of total damage, weight losses); (5) number of live insects per 500 g of sample (Sitophilus zeamais Motschulsky, Prostephanus truncatus Horn, Sitotroga cerealella Olivier); (6) storage time (in days and months) and average climatic data during storage period (minimum and maximum temperature, minimum and maximum relative humidity).
DOI: 10.6084/m9.figshare.22626775.v1
title: Soil Moisture Data

description: Soil moisture from TDR probes at all sites for the duration of the study period
DOI: 10.6084/m9.figshare.28582622.v1
title: Supportive data

description: Data supporting the paper "Beyond designer’s knowledge: Generating materials design hypotheses via a large language model". For detailed information about the file contents, see 'README.pdf'.<br>Provider is willing to license its rights in the Prompts and Codes (“Provider’s Rights”) to academic researchers to use free of charge solely for academic, non-commercial research purposes subject to the terms and conditions outlined herein. The Prompts and Codes were created at the University of Wisconsin ("UW") by Quanliang Liu and Hyunseok Oh. Please note that the Provider's Rights may include, but are not limited to, certain patents or patent applications owned by the Wisconsin Alumni Research Foundation (“WARF”).
DOI: 10.17632/7mrytjdztj
title: AIDIS DATA 1992 2003 2013

description: All India Debt and Investment Survey conducted decennially by NSSO. It is a national level survey that is conducted using two stage sampling. In all covers more than 310,000 households of which more than 180,000 are from rural areas. This is the only comprehensive dataset that examines debt and indebtedness in considerable detail and allows us to paint a national level picture of indebtedness among various sections of the Indian society
DOI: 10.6084/m9.figshare.3753024.v3
title: Assessing the Performance of the SRR Loop Scheduler with Irregular Workloads (Results)

description: This dataset contains experimental results presented in the paper.<br><br>performance-analysis.csv contains the results for performance analysis experiments.<br><br>weak-scaling.csv contains the results for weak scaling experiments.<br><br>strong-scaling.csv contains the results for strong scaling experiments.<br>
DOI: 10.15468/dl.eswx48
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Magnolia napoensis F.Arroyo, Á.J.Pérez & A.Vázquez"
 ]
}

 The dataset includes 46 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012989-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7n93zz884c
title: Supplementary Data for Environmental Risk Assessment of Palm Oil Transesterification in Supercritical Ethanol for Sustainable Biofuel Production

description: This dataset includes the raw results and processed data from the sample characterizations, as well as the database created for the in silico analysis, available in both Excel and PDF formats. This information serves as supplementary material for the article 'An In Silico Environmental Risk Assessment of Palm Oil Transesterification in Supercritical Ethanol as a Tool to Enhance Sustainable Biofuel Production.
DOI: 10.17632/4235scwxjf
title: De novo assembly of nuclear stress bodies rearranges and enhances NFIL3 to restrain acute inflammatory responses

description: Detailed description of this data can be accessed in Liu et al. De novo assembly of nuclear stress bodies rearranges and enhances NFIL3 to restrain acute inflammatory responses.
DOI: 10.17632/fzmpmcnn3y
title: Highly Automated and Driverless Vehicles Public Acceptance Survey for Australia and NewZealand

description: Highly automated and driverless (HAD) vehicles are predicted to have several societal benefits, including reduced accidents and fatalities, reduced congestion, efficient traffic networks and improved productivity. However, the adoption of technology is dependent on the willingness of people to adopt the technology. For a smooth transition to driverless vehicles, it is essential to investigate the public perception of driverless vehicles. This paper presents the longitudinal survey data on public opinion on driverless vehicles in Australia and New Zealand. The survey has four rounds undertaken over a period of six years that can provide insights into the sentiment of Australians and New Zealanders over time. The data presented in the paper can be used in research studies that can benefit vehicle manufacturers, policymakers and researchers responsible for and interested in the safe and successful deployment of automated and driverless vehicles on Australian and New-Zealand roads in the future. Additionally, the last round of the survey also consists of Covid-19 questions and can be used to investigate Covid-19’s effect on mobility.
DOI: 10.6084/m9.figshare.27871554.v1
title: PBMC10K scRNAseq

description: Preprocessed and annotated scRNA-seq Seurat object of PBMC10K dataset of human PBMCs from 10X genomics.
DOI: 10.17632/2g7xdbrkjx
title: Dataset - Meso-scale Strength Prediction of Short-Fiber Composites via Micro-CT based Reconstruction and State-based Peridynamics

description: Folder #1 "Raw TIFF Images" contains the standard outputs from Micro-CT scanning. It has six models used in the paper.
Folder #2 "STL Models" contains the STL models converted from TIFF Images. Users can obtain these models from commercial software such Avizo.
Folder #3 "STLtoVoxel Convertor" contains a program developed by the authors for converting standard STL models to PD mesh.
Folder #4 "PD RVE Models" contains the RVE models converted from Folder #2 "STL Models".
DOI: 10.17632/3jst3k2fyr
title: tank container operator operations data

description: The Excel file has three worksheets. Worksheet 1 and worksheet 2 include a list of demand data with a number of attributes. Worksheet 3 includes travel times from original depot to destination depot. Worksheet 1 includes a list of demand data with the following attributes (that are used in Stage 1): Quote Num: job quotation number index From Depot: original depot Start Region: original region To Depot: destination depot End Region: destination region Job quote date: job quotation date Job start date: job start date Job revenue: revenue of the job; Worksheet 2 includes a list of demand data with the following attributes (that are used in Stage 2): Quote Num: job quotation number index From Depot: original depot Start Region: original region To Depot: destination depot End Region: destination region Job quote date: job quotation date Job start date: job start date Job revenue: revenue of the job; Worksheet 3 includes travel times from original depot to destination depot: Depot From: original depot regionFrom: original region Depot To: destination depot regionTo: destination region Travle Days: number of days traveling from original depot to destination depot.
DOI: 10.17632/fthcv3kns9
title: The effects of an 8-week mindful eating intervention on anticipatory reward responses in striatum and midbrain

description: Obesity is a highly prevalent disease, usually resulting from chronic overeating. Accumulating evidence suggests that increased neural responses during the anticipation of high-calorie food play an important role in overeating. A promising method for counteracting enhanced food anticipation in overeating might be mindfulness-based interventions (MBIs). However, the neural mechanisms by which MBIs can affect food reward anticipation are unclear. In this randomized, actively controlled study, the primary objective was to investigate the effect of an 8-week mindful eating intervention on reward anticipation. On the neural level, we hypothesized that mindful eating would decrease striatal reward anticipation responses. Additionally, responses in the midbrain – from which the reward pathways originate – were explored. Using functional magnetic resonance imaging (fMRI), we tested 58 healthy participants with a wide body mass index range (BMI: 19-35 kg/m2), motivated to change their eating behavior. During scanning they performed an incentive delay task, measuring neural reward anticipation responses to caloric and monetary cues before and after 8 weeks of mindful eating or educational cooking (active control). Compared with the educational cooking intervention, mindful eating affected neural reward anticipation responses, with relatively reduced caloric versus monetary reward responses. This effect was, however, not seen in the striatum, but only in the midbrain. The secondary objective was to assess temporary and long-lasting (one year follow-up) intervention effects on self-reported eating behavior and anthropometric measures (BMI, waist circumference, waist-to-hip-ratio (WHR)). We did not observe effects of the mindful eating intervention on eating behavior. Instead, the control intervention showed temporary beneficial effects on BMI, waist circumference, and diet quality, but not on WHR or self-reported eating behaviour, as well as long-lasting increases in knowledge about healthy eating. These results suggest that an 8-week mindful eating intervention may have decreased the relative salience of food cues by affecting midbrain but not striatal reward responses. However, these exploratory results should be verified in confirmatory research. The primary and secondary objectives of the study were registered in the Dutch Trial Register (NTR): NL4923 (NTR5025).
DOI: 10.17632/fz4bnxv6wf
title: Data for: User Experience and Heuristics of Individualized Recommender Systems
DOI: 10.17632/sv7ns5xv7f
title: FASSEG: a FAce Semantic SEGmentation repository for face image analysis (v2019)

description: The FASSEG (v2019) repository is composed by four subsets containing face images useful for training and testing automatic methods for the task of face segmentation. Three subsets, namely frontal01, frontal02, and frontal 03 are specifically built for performing frontal face segmentation. Frontal01 contains 70 original RGB images and the corresponding roughly labelled ground-truth masks. Frontal02 contains the same image data, with high-precision labelled ground-truth masks. Frontal03 consists in 150 annotated face masks of twins captured in various orientations, illumination conditions and facial expressions. The last subset, namely multipose01, contains more than 200 faces in multiple poses and the corresponding ground- truth masks. For all face images, ground-truth masks are labelled on six classes (mouth, nose, eyes, hair, skin, and background).
DOI: 10.17632/b2stjtk6f2
title: PREDICTIVE CUT-OFF VALUE OF NT-PROBNP FOR LONG-TERM SURVIVAL IN VIETNAMESE PATIENTS WITH NEW-ONSET HEART FAILURE

description: PREDICTIVE CUT-OFF VALUE OF NT-PROBNP FOR LONG-TERM SURVIVAL IN VIETNAMESE PATIENTS WITH NEW-ONSET HEART FAILURE
DOI: 10.17632/2ynwykrfgf
title: Extended Covid Twitter Datasets

description: Wider spatiotemporal English COVID-19 Tweets
DOI: 10.17632/95n9scp9zc
title: MoCA: Multi-view Cooking Actions Dataset

description: MoCA is a bi-modal dataset with Motion Capture data and video sequences acquired from multiple views. The focus is on upper body actions in a cooking scenario. A specific goals is investigating view-invariant action properties in both biological and artificial systems and in this sense it may be of interest for multiple research communities in the cognitive and computational domains. 

The dataset includes 20 cooking actions, involving either a single or both arms of the volunteer, some of them including tools which may require different forces. Three different view-points have been considered for the acquisitions, i.e. lateral, egocentric, and frontal. For each action a training and a test sequence is available, each containing, on average, 25 repetitions of the action. Furthermore, acquisitions of more structured activities are included, in which the actions are performed in sequence for a final, more complex goal. 

An annotation is available, which includes the segmentation of single action instances in terms of time instants in the MoCap reference frame. A function then allows to map the time instants on the corresponding frame in the video sequences. In addition, functionalities to load, segment, and visualize the data are also provided in Python and Matlab.
DOI: 10.17632/dd53vrd8sc
title: Transmission Loss Prediction for IEEE 30 bus system

description: A supervised learning algorithm is used to train a feed-forward neural network to predict the total transmission loss of the IEEE 30 bus power system when provided with the schedules of the power system generators (available in file lossdb.xlsx). A feedforward neural network with a back-propagation algorithm is trained and implemented using
MATLAB. The first five columns in lossdb.xlsx are the schedules of the generators in the IEEE 30 bus system and the sixth column is the transmission loss obtained by load flow analysis. The code is available at https://doi.org/10.24433/CO.5812681.v1
DOI: 10.17632/dxds8pc2cz
title: PEPSI - carbon taxes and labor market

description: Here, you will find the codes for simulation and descriptive statistics in the paper
DOI: 10.17632/thj7x8szs9
title: Fiscal and Monetary Policy Regimes: New Evidence from India

description: Replication Data for the Paper titled "Fiscal and Monetary Policy Regimes: New Evidence from India"
DOI: 10.17632/vkgw6gg8v3
title: Data and code for image-based load estimation in RC beams and slabs

description: The data, codes and processing tools used to develop image-based load estimation and classification models for RC beams and slabs. The data was collected from 17 previously published studies on RC beams and slabs with/without shear reinforcement. For more details, please see the papers below by the authors: [1] Structural Load Estimation Using Machine Vision and Surface Crack Patterns for Shear-Critical RC Beams and Slabs. Journal of Computing in Civil Engineering. Volume 32 Issue 4 - July 2018 [2] Data-Driven Vision-Based Inspection for Reinforced Concrete Beams and Slabs: Quantitative Damage and Load Estimation. Journal of Automation in Construction. Elsevier.
DOI: 10.17632/y5cp6dr2yn
title: Raw data of Developing predictive indicators system of pressure ulcer for data mining in Healthcare Information Systems: a sequential mixed methods study

description: These are the data for developing our predictive indicators' system of pressure ulcer for data mining including the transcription of qualitative interview, the results of experts consultation, the pressure ulcer cases ID, the features of pressure ulcers and control cases, and the data for Kappa Consistency test. We established a predictive indicators' system from the analysis of these data.
DOI: 10.17632/8kxdp9h4h6
title: Diatom size dataset from Diatoms of North America, USA

description: Morphometric dataset of 188 genera and 1094 species of diatom from Diatoms of North America (DONA), informing researchers about morphological variations/size reduction phenomenon examined in diatom, which is still lacking in the literature. Findings of this dataset is as follows:
-Extent of size reduction in diatoms is more in asymmetrical than symmetrical forms.
-Extent of size diminution is more in larger than smaller diatoms.
-Benthic life-forms showed lesser extent of size diminution.
-Motile guilds showed lesser extent of size diminution.
-Study informed whether size reduction is due to natural or anthropogenic perturbations.