cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fkbfsms225.1
title: Raw, uncropped supporting Western blot files for: Rona G. ... Pagano M. “CDK-independent role of D-type cyclins in regulating DNA mismatch repair”

description: Raw, uncropped supporting Western blot files for: Rona G., Miwatani-Minter B., Zhang Q., Goldberg H., Kerzhnerman M., Howard J., Simoneschi D., Lane E., Hobbs J., Sassani E., Wang A., Keegan S., Laverty D., Piett C., Pongor L., Xu L., Andrade J., Thomas A., Sicinski P., Askenazi M., Ueberheide B., Fenyö D., Nagel Z., and Pagano M. CDK-independent role of D-type cyclins in regulating DNA mismatch repair
DOI: 10.17632/vxgnjckdfj
title: Late Triassic (ultra)potassic magmatism revealed shallow continental subduction of the easternmost Paleo-Tethys

description: This dataset includes: 
Table S1. Major (wt. %) and trace elements (ppm) compositions of the Raub ultrapotassic rocks and leucogranites;
Table S2. LA–ICP–MS zircon U–Pb dating data for the Raub ultrapotassic rocks and leucogranites;
Table S3. Trace element (ppm) compositions of zircon from the Raub ultrapotassic rocks and leucogranites;
Table S4. Zircons Hf isotopic data of the Raub ultrapotassic rocks and leucogranites;
Table S5. Whole-rock Sr-Nd-Hf-Pb isotopic compositions of the Raub ultrapotassic rocks and leucogranites;
Table S6. Collected zircon Hf isotope compositions data of magmatic rocks from Peninsular Malaysia;
Table S7. Collected geochemistry data of the ultrapotassic rocks in Peninsular Malaysia;
Table S8. Collected geochemistry data of calc-alkaline mafic rocks in the EPTS;
Table S9. Collected geochemistry data of the Alpine-Himalayan ultrapotassic rocks;
Table S10. Collected geochemistry data of the Alpine-Himalayan leucogranites.
DOI: 10.17632/y78ty2g293.1
title: Aquaculture - Water Quality Dataset

description: This dataset is useful to train and test deep learning models that developed to assess the quality of the water in fish ponds based on the parameters like Temperature, Turbidity, Dissolved Oxygen, Biochemical oxygen demand (BOD), $CO_{2}$, pH, Alkalinity, Hardness, Calcium, Ammonia, Nitrite, Phosphorus, $H_{2}S$ and Plankton. The quality of water in fish ponds is classified in three categories like Excellent, Good and Poor quality. This dataset is prepared based on the threshold values of each input feature for acceptable range, desirable range and stress range for the growth of fishes in ponds. This AWD dataset consists of three different quality samples. They are excellent represented with 0, good quality is labelled with 1 and poor quality id labelled with 2. The developed dataset consists total 1500 poor quality water samples, 1400 excellent quality water samples and 1400 good quality water samples. The developed dataset consists of total 4300 samples with 14 input feature and one output label column.
DOI: 10.17632/ms9kb2dpkp.1
title: pitaya dataset

description: This is a pitaya dataset including pitaya images in daytime and nighttime
DOI: 10.17632/7z93fnvjhr.3
title: Bibliographic dataset and analysis of machine learning in traffic signpost recognition for autonomous vehicles

description: The bibliometric data are utilized to compile the 10-year literature in machine learning and traffic signpost recognition studies (year 2014 - 2024) in intelligent autonomous vehicles. Basic bibliometric evaluation provides descriptive analysis that can be visualized with the Biblioshiny web application.
DOI: 10.17632/7x65rj7ph4.1
title: CAD Assembly of Total Knee Replacement with Femur and Tibia bones for CAE Analysis

description: Contact mechanics determine the outcomes of a Total Knee Replacement (TKR) surgery in which the infected knee joint of a human is replaced with Total Knee Replacement components made up of bio-compatible materials. To get valuable insights into the contact mechanics of knee joint, CAD (Computer Aided Design) and CAE (Computer Aided Engineering) analysis have proved very significant. Total Knee Replacement has three components- femoral component, bearing, and tibial component. These components are fixed to Femur and Tibia with a strong cement. The assembly of TKR components with Femur and Tibia bones is presented here as CAD. This CAD assembly can be used for any finite element analysis or CAE analysis concerning the knee joint. The TKR components of a posterior-stabilized, fixed bearing total knee prosthesis, PFC (De Puy, Johnson & Johnson, Leeds, UK)(1) were modelled using reverse engineering technique that converts a point cloud data gathered after scanning an actual physical product to CAD surfaces and solids. 3D point cloud data of TKR components were obtained with ATOS compact scanner (GOM GmbH, Germany) (2) consisting of two cameras, a laser source, a software and working area. The specifications of the scanner were: camera pixels: 8 or 12 mega- pixels, measuring area: 45 x 30 to 1200 x 1000 mm², working distance: 450 to 1200 mm and sensor dimension: 340 mm x 130 mm x 230 mm. The Geometric modelling of TKR component from these point cloud data was developed using Geomagic studio 12 (Raindrop Geomagic, Research Triangle Park, NC) (3). The bones, Femur and Tibia were modelled using point cloud data from MRI images of an Indian patient collected from Apollo hospital, Bangalore. The final assembly was executed in Solidworks 2013 (Dessault Systemes, Velizy-Villacoublay, France) (4). The resection of Femur and Tibia bone was accomplished with the help of a professional TKR surgeon at Apollo hospital, Bangalore The CAD model can be meshed in a CAE software and used to perform a CAE analysis be it a simple linear implicit analysis or a complex dynamic explicit analysis. The CAD (.stp format) needs an "import" to the CAE software. All dimensions are in mm.
DOI: 10.17632/m7xtkx7g5m.1
title: Fraudulent and Legitimate Online Shops Dataset

description: The dataset contains fake (fraudulent) e-shops data together with legitimate e-shops data. The dataset is balanced and contains 1140 records of 579 fake (fraudulent) and 561 real (legitimate) online shops. Each record contains the following fields: 
1. Online shop’s URL;
2. Label - {legitimate, fraudulent};
3. Domain length - Number of symbols in the host domain name;
4. Top domain length - Number of symbols in the top domain name;
5. Presence of prefix “www” in the active URL of the online shop, values {0 - no, 1 - yes};
6. Number of digits in the URL;
7. Number of letters in the URL;
8. Number of dots (.) in the URL;
9. Number of hyphens (-) in the URL;
10. Presence of credit card payment, values {0 - no, 1 - yes};
11. Presence of money back payment, including PayPal, Alipay, Apple Pay, Google Pay, Samsung Pay, and Amazon Pay, values {0 - no, 1 - yes};
12. Presence of cash on delivery payment, values {0 - no, 1 - yes};
13. Presence of the ability to use cryptocurrencies for payments, values {0 - no, 1 - yes};
14. Presence of free contact emails, including Gmail, Hotmail, Outlook, Yahoo Mail, Zoho Mail, ProtonMail, iCloud Mail, GMX Mail, AOL Mail, mail.com, Yandex Mail, Mail2World, or Tutanota, values {0 – email address not found, 1 - free email address, 2 - domain email address, 3 – other email address};
15. Presence of logo URL, values {0 - no, 1 - yes};
16. SSL certificate issuer name;
17. SSL certificate expire date;
18. SSL certificate issuer organization name;
19. SSL certificate issuer organization ID, values {1 - Cloudflare, Inc., 2 - Let's Encrypt, 3 - Sectigo Limited, 4 - cPanel, Inc., 5 - GoDaddy.com, Inc., 6 - Amazon, 7 - DigiCert, Inc., 8 - GlobalSign nv-sa, 9 - Google Trust Services LLC, 10 - ZeroSSL, 11 - other organization};
20. Indication of young domain, registered 400 days ago or later, values {0 - ‘old’ domain name, 1 - ‘young’ domain name, 2 - ‘hidden’};
21. Domain registration date;
22. Presence of TrustPilot reviews, values {0 - no, 1 - yes};
23. TrustPilot score, values - real number from 0 to 5 or -1 if no reviews are available;
24. Presence of SiteJabber reviews, values {0 - no, 1 - yes};
25. Presence in the standard Tranco list, values {0 - no, 1 - yes};
26. Tranco List rank, values - integer number from 1 to 1000000 or -1 if domain is not listed in the Tranco list.
DOI: 10.17632/fd453hc4jb.1
title: The Axial Hartree–Fock + BCS Code SkyAx

description: The nuclear mean-field model based on Skyrme forces can predict a variety of properties of nuclear ground states. We present the Code SkyAx solving the Hartree–Fock equations in two spatial dimensions assuming axial symmetry. Pairing can be included in the BCS approximation. The code is implemented with a view on computational speed.
DOI: 10.17632/459xvvx282.1
title: Demographic_Academic_Performance_DVM_Data

description: The dataset comprising the novel aspects specially in terms of predicting Doctor of Veterinary Medicine (DVM) students academic performance prediction at an early stage using academic and demographic features. The dataset may enable other researchers to conduct comparative studies and compare the findings of their local dataset produced with ours to further extend and understand the depth and breadth of phenomena under research. Researchers can investigate/compare whether demographic or academic features affect students’ performance based on region, country, program, and semester-wise. The datasets offered may provide an opportunity for researchers interested in performing potential experiments to extend their knowledge about the phenomena in different perspectives: 
• For educational research, the question of whether the student’s performance can be predicted by analyzing the 
 demographic and academic (pre-admission) features.
• Students’ performance can be predicted at an early stage for various departments.
• Students’ performance can be predicted at the semester level and degree level.
• Also, the relationship between students’ performance and demographic and academic (pre-admission) features can be 
 further explored.
• These datasets can make an important contribution to the pragmatic policy-related indicators to adjust the admission 
 criteria so far.
DOI: 10.17632/x9dcpc2r5c.1
title: Quantics: A general purpose package for Quantum molecular dynamics simulations

description: Quantics is a general purpose program package to simulate the time-evolution of a molecular system by solving the time-dependent Schrödinger equation. The main code is based on the multi-configurational time-dependent Hartree (MCTDH) algorithm in various variants, including the powerful multilayer-MCTDH algorithm that has been used to propagate a wavefunction for up to 1000 degrees of freedom. MCTDH uses a contraction of traditional discrete basis set representations of the Hamiltonian and wavefunction, and Quantics includes a range of variable representation (DVR) grid basis sets and collocation methods. Input is via ascii text files and for molecules with analytical potential functions no programming is required. A library of potential functions is included to treat more complicated cases, and more functions can be added as required by the user. The code also includes the variational multi-configurational Gaussian (vMCG) method that is based on a Gaussian wavepacket expansion of the wavefunction. vMCG can be run in a “direct” manner (DD-vMCG), calculating the potential energy surfaces on-the-fly using a number of quantum chemistry programs. In addition to wavepacket propagation, Quantics can solve the time-independent Schrödinger equation for small systems and can solve the Liouville–von-Neumann equation to propagate density matrices. The Package includes auxiliary programs to help set up calculations and analyse the output. Quantics is a community code of the UK Collaborative Computational Project for Quantum Dynamics (CCPQ) and the European E-CAM project, an e-infrastructure for software development run by the Centre Européen de Calcul Atomique et Moléculaire (CECAM). Through this it has become a framework for general dynamics codes, for example enabling an external surface hopping code to use the Quantics input and operator interfaces.
DOI: 10.17632/t5ydfnxv55.2
title: Indicators for the assessment of the impact of hydropeaking on aquifers

description: This dataset contains groundwater and river stage measurements in m.a.s.l between 17 February 2017 and 31 December 2023. 
Measurements are for the following locations:
* Noce River at the gauging station La Rupe (GN-LRu)
*Groundwater: Piezometers P343, P349, P618, P619, P501, P33, P37, P38, P9
DOI: 10.17632/bkxxmjxff9.1
title: The Startup Research in Indonesia Dataset from 2007 to 2019

description: The startup research & publication in Indonesia dataset, which was indexed by Scopus from 2007 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/d5dtz46xcz.1
title: Diabetes

description: Here's a concise description for your dataset that fits within the 3000-character limit:

---

The dataset comprises 250,000 records and includes information on various health-related factors and conditions, designed to facilitate diabetes prediction and analysis. The dataset includes the following features:

1. Diabetes_012: A categorical variable indicating the presence of diabetes, with possible values of 0 (no diabetes), 1 (pre-diabetes), or 2 (diabetes).
2. HighBP: A binary indicator of whether the individual has high blood pressure.
3. HighChol: A binary indicator of whether the individual has high cholesterol.
4. CholCheck: A binary variable denoting whether the individual has had a cholesterol check in the past year.
5. BMI: The body mass index of the individual, a continuous variable used to categorize weight status.
6. Smoker: A binary indicator showing if the individual is a smoker.
7. Stroke:A binary variable indicating whether the individual has experienced a stroke.
8. HeartDiseaseorAttack: A binary indicator for the presence of heart disease or a heart attack.
9. PhysActivity:A binary variable showing whether the individual engages in physical activity.
10. HvyAlcoholConsump:A binary indicator of heavy alcohol consumption.
11. AnyHealthcare: A binary variable indicating whether the individual has access to any form of healthcare.
12. NoDocbcCost: A binary indicator of whether the individual did not visit a doctor due to cost concerns.
13. GenHlth: A categorical variable representing the individual's general health status, ranging from excellent to poor.
14. MentHlth: A continuous variable indicating the number of days in the past month the individual experienced poor mental health.
15. Sex: The gender of the individual.
16. Age: The age of the individual.
17. Income:The individual's income level, categorized into brackets.
18. Diabetes_binary:A binary outcome variable indicating the presence or absence of diabetes (1 for diabetes, 0 for no diabetes).

This dataset is intended for research and analysis in the field of health and diabetes prediction. It provides a comprehensive view of various health indicators and conditions, making it suitable for developing predictive models and understanding the relationship between diabetes and other health factors.
DOI: 10.17632/2fgv99854n.1
title: An Extensive Image Dataset for Classifying Rice Varieties in Bangladesh

description: This dataset contains a carefully collected set of low-resolution images of 38 well-known rice varieties from BINA and IRRI. It helps in identifying the unique features of these rice types for accurate classification.
#Dataset Composition#
The dataset includes images of 38 different types of rice, specifically:
BD33, BD30, BD39, BD56, BD93, BD91, BD49, BD51, BD52, BD76, BD95, BD57, BD87, BD70, BD85, BD72, BD79, BD75, Binadhan7, Binadhan8, Binadhan10, Binadhan11, Binadhan12, Binadhan14, Binadhan16, Binadhan17, Binadhan19, Binadhan20, Binadhan21, Binadhan23, Binadhan24, Binadhan25, Binadhan26, BR22, BR23, BRRI67, BRRI74, and BRRI102.
There are 19,000 original JPG images and 76,000 augmented images in total.
#Image Capture and Dataset Organization#
Images were taken using high-power 1600x and 1000x digital microscope cameras between January 15 and February 28, 2024. The dataset is divided into two main parts: Original images and Augmented images. Each part has 38 folders, one for each rice variety.
#Original Image Dataset#
The main set includes 19,000 JPG images, each sized at 640x480 pixels. The uncompressed file size is 1.52 GB, reduced to 1.47 GB after compression.
#Augmented Image Dataset#
To increase the number of images for deep learning models, data augmentation techniques were used. These include rotations (90° left, 90° right, 180°), shear range and flips, creating 76,000 more images. These images are also in JPG format, sized at 640x480 pixels, and were initially 1.98 GB, reduced to 1.89 GB after compression.
#Dataset Storage and Access#
The raw and augmented datasets are stored in two separate zip files, 'Original.zip' and 'Augmented.zip'. Each zip file contains 38 folders, one for each rice variety mentioned above.
DOI: 10.17632/828547c7df.1
title: Data compilation on the effect of grain size, temperature, and texture on the strength of a single-phase FCC MnFeNi medium-entropy alloy

description: This data article presents a compilation of microstructural and mechanical data regarding the ternary single-phase FCC MnFeNi medium-entropy alloy (MEA). For the analysis, interpretation, and comparison of the data to literature values, the reader can refer to the original related research article entitled “Effect of Temperature and Texture on Hall Petch Strengthening by Grain and Annealing Twin Boundaries in the MnFeNi Medium-Entropy Alloy”, see Schneider et al. (Metals 9, 2019, 84).
DOI: 10.17632/kxkzfn8ms5.1
title: Public Charging Infrastructure and Electric Vehicles in Norway: Replication Files

description: This repository allows for the replication of all calculations presented in "Public Charging Infrastructure and Electric Vehicles in Norway", written by Schulz, F. and Rode, J., forthcoming in Energy Policy (doi: TBD).

We study whether public charging infrastructure drives battery electric vehicle adoption. The data provided includes granular, annual information on the location of public charging infrastructure and the battery electric vehicle ownership rate across 356 Norwegian LAU-2 municipalities between 2009 and 2019. We find, on average, an increase of the local electric vehicle ownership rate by 1.5 percentage points or 200% over 5 years. While we cannot fully rule out reverse effects, we identify public charging infrastructure to serve as a stimulus to the diffusion of battery electric vehicles.

Further information on how one can use the scripts provided can be found in the readme-file.
DOI: 10.17632/b2hsxc6485.1
title: Data for: Why Are Professors Poorly Paid?
DOI: 10.17632/cc7g3nt5kh.1
title: Brazilian National Household Sample Survey (PNAD)

description: The PNAD is a representative household survey conducted annually by the Brazilian Institute of Geography and Statistics (IBGE) to collect socio-economic and demographic information about the Brazilian population, including household composition, education, labour, income, migration, and fertility.
DOI: 10.17632/ptcp7rp3wb.4
title: Synthetic Distracted Driving (SynDD1) Dataset

description: Synthetic dataset for machine learning models to detect and analyze drivers' various distracted behavior and different gaze zones.
DOI: 10.17632/mftbg688fs.1
title: Agri-Food Supply Chain 

description: The “agri-food supply chain” has led to great attention for researchers worldwide due to utilize it in wide range of applications in various fields.  In order to understand the emerging integrated effort, it is necessary to examine the state of publications, understand the collaboration networks and evaluate the topics of interest.  This study aims to assess and visualize current trend in agri-food supply chain (AFSC) domain based on publication year, collaborators, collaborations, source title, and co-occurrences as keywords.  This paper adopts a bibliometric analysis methodology based on 303 papers obtained from the Scopus database between 1997 and 2021.  Microsoft Excel was used to analyze the frequency and VOSviewer for data visualization.  The research results shows that publications on AFSC has significantly increased since 2006.  Results of this study also indicated that AFSC studies in the last two decades has explored seven major areas of “agri-food supply chain system”, “agri-food supply chain management”, “agri-food supply chain industry”, “agri-food supply chain risk factor”, “agri-food supply chain information”, “agri-food supply chain advancement”, and “agri-food supply chain risk”.  Finally, among the research title, the three dominant clusters include “agri-food supply chain”, “food supply”, and “supply chains”, creating an opportunity for researchers to conduct future cross-country and cross-institutional studies through which prolific authors have constructed a core foundation for the AFSC topic.
DOI: 10.17632/x2bgyrgbyj.1
title: Data for: The Comparative Advantage of Cities

description: Replication package for "The Comparative Advantage of Cities". See "readme.md". Also available at github.com/jdingel.
DOI: 10.15468/dl.x27eps
title: Occurrence Download

description: A dataset containing 670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus laurocerasus L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 670 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009323-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6d9jrkgtvv.4
title: BAAD16: Bangla Authorship Attribution Dataset

description: A dataset with sample Bangla texts from 16 authors containing a total of 13.4+ million words. The dataset was equally partitioned with each document having the same length of 750 words.
DOI: 10.17632/gtfrr4j5cx.3
title: Data_S1

description: Dimensionality reduction by UMAP reinforces sample heterogeneity analysis in bulk transcriptomic data - Supplementary Data S1
DOI: 10.17632/xzycyvmks2.3
title: Household Survey and Bioeconomy data of rice producers in Ecuador.

description: The Data was recollected by CIAT Group. This Data is for the article Rice (Oryza Sativa L.) Bioeconomy: A DEA approach (VRS, CRS & Bootstrapping). The present dataset contains the original data from 612 rice farms in the five provinces of Ecuador. The dataset includes adjusted data for application in R for statistical analysis and the DEA methodology with BCC and CCR models adjusted with Bootstrap. Data were collected from 612 rice-producing farms in Ecuador during the 2019-2020 year or cycle. Details were gathered on Total Income [ti], Total Cost [tc], Total CO2 Emissions (kg CO2 eq/cycle) [te], Urea Used (kg/ha) [u], Farmer Age [age], Years of Study [Study_year], Years of Experience [experience], Land Area (ha) [area_ha], and Yield in Tons per Hectare [rend_ton_ha]. The provinces in Ecuador where the data were collected are: Guayas, El Oro, Manabi, Loja, and Los Rios.
DOI: 10.17632/g9m574ybt8.3
title: ODBP Example .odb files

description: Abaqus Output Database (.odb) files designed for benchmarking ODBP (https://github.com/Computational-Mechanics-Materials-Lab/ODBP) and creating reproducible examples.

These simulations are simplified examples of Wire-Arc Directed Energy Deposition (arc-DED). They are used in ODBP as small, simple examples to show how ODBP reads from, converts, and visualizes .odb data. These files are named according to their sizes: odbp_2k has approximately 2,000 elements, odbp_6k has approximately 6,000 elements, and odbp_15k has approximately 15,000 elements.