cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6y4wvd5s4r.1
title: Indian Tourist destination

description: The data collection involved sourcing high-quality images from diverse sources such as tourism websites, social media sites, flicker, photographers, and archives. Each image was meticulously annotated and categorized into five classes: beaches, gardens, hill stations, national parks, and temples. We collected Total 5000 images , 1000 images from each category..
DOI: 10.6084/m9.figshare.27933915
title: wheat-test

description: grainspace-wheat-test
DOI: 10.17632/zr36dyjtjr.1
title: Dataset for image classification with knowledge

description: Deep learning applied to raw data has demonstrated outstanding image classification performance, mainly when abundant data is available. However, performance significantly degrades when a substantial volume of data is unavailable. Furthermore, in situations where distinguishing between distinct classes is challenging, such as in fine-grained image classification, deep architectures struggle to achieve satisfactory performance levels. 
Utilizing a priori knowledge alongside raw data can enhance image classification in demanding scenarios. Nevertheless, only a limited number of image classification datasets given with a priori knowledge are currently available, thereby restricting research efforts in this field. This paper introduces innovative datasets for the classification problem that integrate a priori knowledge. These datasets are built from existing data typically employed for multilabel multiclass classification or object detection. Frequent closed itemset mining is used to build classes and their corresponding attributes (e.g. presence of an object in an image) and then to extract a priori knowledge expressed by rules on these attributes. The algorithm for generating rules is described.
DOI: 10.17632/cx5sr2dgrr.2
title: Batik Nitik Sarimbit 120

description: Batik, deeply interwoven into the cultural tapestry of Indonesia, carries profound cultural and philosophical meanings within each intricately designed motif. This paper introduces the Batik Nitik Sarimbit 120 dataset, originating from the vibrant city of Yogyakarta, Indonesia. This dataset showcases 60 meticulously captured Nitik motifs, generously provided by the esteemed Paguyuban Pecinta Batik Indonesia (PPBI) Sekar Jagad Yogyakarta. Comprising a total of 120 images arranged in 60 pairs, the dataset was painstakingly captured using a Sony Alpha a6400 camera, meticulously adjusted under Godox SK II 400 lighting conditions, and subsequently formatted to jpg for standardization. This rich and comprehensive dataset serves as an invaluable resource for training and validating machine learning algorithms, particularly within the burgeoning field of generative adversarial networks (GANs). By leveraging this dataset, researchers and practitioners can delve into the intricate world of batik artistry, exploring avenues for computational creativity and innovation. The dataset's diversity and meticulous curation offer ample opportunities for studying the nuances of batik design and advancing the frontier of artificial intelligence in cultural heritage preservation. This scholarly contribution not only enriches our understanding of batik but also paves the way for future advancements in machine learning-driven creative endeavors.
DOI: 10.17632/n4nyy3x57w.1
title: Combined effects of role assignment and timing

description: The dataset and analysis results file for the study. With the purpose of improving blended learning through effective AOD design, this study conducted a two-level factorial experiment to explore the main effects and interaction effects of role assignment and timing on AOD learning outcome and experiences. In addition, this experiment examined the influence of role assignment and timing on participants’ social interaction in AOD and the effects of timing on role-specific contribution and participation in role-based discussion. A total of 114 participants in a blended course were randomly assigned to four experimental conditions: role-based pre-class discussion (n = 29), role-free pre-class discussion (n = 29), role-based post-class discussion (n = 28), and role-free post-class discussion (n = 28). The results showed that the role scripts of initiator, supporter, and arguer enhanced AOD’s learning experiences and social interaction in the blended course. Timing affected the capacity of acting and participation degree of different roles in role-based discussions. However, there was no significant interaction between the two AOD strategies.
DOI: 10.17632/wjxc69xj3n.1
title: BH-KSU23: A Novel Dataset for Evaluating and Enhancing Intrusion Detection Systems Targeting Command-and-Control Traffic

description: The increasing prevalence of sophisticated cyber-attacks, particularly those orchestrated by state-sponsored threat actors, has highlighted the need for enhanced intrusion detection capabilities. One notable limitation in existing intrusion detection system (IDS) datasets is the lack of realistic and comprehensive representation of command-and-control (C2) framework traffic. This paper introduces BH-KSU23, a novel dataset designed to address this gap, enabling researchers and practitioners to better understand and detect such advanced cyber threats. The dataset was generated using an environment that mimicked real-world infrastructure and incorporated seven different C2 frameworks. Various attack types, including enumeration, exploitation, and post-exploitation, were conducted, resulting in 142GB of raw network traffic. Relevant features were extracted using CIC-Flowmeter, producing a set of 76 features. BH-KSU23 comprises approx. 400,000 records, with an near-equal distribution of benign and malicious samples. A comparison with other datasets, such as NSL-KDD, KDD CUP, and DARPA, reveals that BH-KSU23 offers a more accurate representation of C2 traffic, with a better malicious-to-benign ratio and no duplicate or null records. By providing a dataset that specifically represents C2 traffic, BH-KSU23 aims to facilitate the development of more effective intrusion detection systems and countermeasures against sophisticated cyber-attacks.
DOI: 10.17632/8myyf5t45z.3
title: Dataset of Student Perception about Online Learning at Faculty of Mathematics and Natural Sciences, Universitas Negeri Makassar, Indonesia

description: Dataset of Student Perception about Online Learning at Faculty of Mathematics and Natural Sciences, Universitas Negeri Makassar, Indonesia
DOI: 10.17632/b6rj29mrss.1
title: Lithology dataset

description: 
The dataset includes core images used in the paper “Automated lithology classification from drill core images using convolutional neural networks” https://doi.org/10.1016/j.petrol.2020.107933. 
It includes 2 x 2 cm core images created from core tray images provided by the Geological Survey of South Australia, available on http://www.energymining.sa.gov.au/minerals/geoscience/geoscientific_data/hylogger.
It includes images used for training, validating, and testing the CNN models for four categories: sandstone, limestone, shale, and a  ‘garbage’ category that contains empty tray areas and non-core objects such as and wooden/metallic objects in the tray images.
DOI: 10.17632/23b45jkb29.1
title: Single cell RNAseq-based proteogenomics identifies glioblastoma-specific transposable elements encoding HLA-presented peptides 

description: We developed a transposable element (TE)-centered proteogenomic pipeline that combines single cell transcriptomics on tumors from glioblastoma (GBM) patients, bulk RNAseq samples from tumor and healthy tissue cohorts, and immunopeptidomics. We thus identified 370 HLA-I-bound peptides encoded by TEs differentially expressed in GBM. Some of the peptides are encoded by repeat sequences from intact open reading frames (ORFs) present in up to several hundred TEs from recent LINE-1, LTR and SVA subfamilies. Other HLA-I-bound peptides are encoded by unique copies of TEs from old subfamilies that are expressed recurrently in GBM tumors and not expressed, or very infrequently and at low levels, in healthy tissues (including brain). These peptide-coding, GBM-specific, highly recurrent TEs represent potential tumor-specific targets for cancer immunotherapies.
DOI: 10.17632/vpr9tmr6px.1
title: Technology in Smart Tourism

description: The development of tourism competitiveness at this time is largely determined by the support of technology applications in terms of tourism information communication between tourists. Ease of access ranging from transportation’s order transaction information (aircraft transportation, ships, and online taxis), accommodation (resort or five-star hotel), destinations, and events are subjects for consideration.
DOI: 10.17632/25g6cm8vhb.1
title: Wheat Rust Images For Diseases Map

description: Wheat Rust Images For Diseases Map
DOI: 10.17632/b6cd84zy24.1
title: data for fluoride and Health Risk Assessment 

description: data for Fluoride and Health Risk Assessment
DOI: 10.17632/bvpt9xdjz8.1
title: Marked Speed Bump/ Speed Breaker Dataset (India)

description: This dataset contains cropped marked speed bump/breaker images used in the paper, "Driver Assistance System for Marked Speed Breaker Detection".Total number of images is 969. The rest of the images used in the dataset were sourced from the internet. The citation for another dataset we used is given below in the related links section.
DOI: 10.17632/9t657wb5d2.3
title: Impact of E-learning for teaching electrocardiography. A comparative study of asynchronous and synchronous groups

description: In this repository you will find the extended report of the investigation. Some data in excel of analysis that we carry out, questions from the surveys and design course. 
Introduction of article
The interpretation and accurate reading of electrocardiograms is essential for the diagnosis and management of cardiovascular diseases, which are the leading cause of death globally. The objective of this study was to determine the impact of synchronous and asynchronous virtual teaching of electrocardiography on two groups of final-year medical students.
Methodology
A mixed method study was conducted. The impact of teaching was quantified by comparing the results of pretests at the beginning of the course, posttest 1 at the end of the course, and posttest 2 four months later. The assessments were based on electrocardiograms of real patients. For the qualitative analysis, in-depth semi-structured interviews were conducted to provide other insights into the development of competencies and meaningful learning during and after the course. The courses were designed based on the cognitive load theory for multimedia learning and didactic transposition as the basis for implementing didactic strategies.
Results
The results indicate a positive impact on the teaching of electrocardiography, with students developing competencies for reading and interpreting electrocardiograms and meaningful learning. There were statistically significant differences (Student's t-test; p≤0.0001) between the pre and post-test exams for both modalities, but no differences between synchronous and asynchronous learning (p≥0.579). This suggests that both modalities positively impact the teaching of electrocardiography. Similarly, the qualitative analyses show that participants report the development of assurance and confidence, as well as the consolidation of knowledge and greater responsibility when handling the electrocardiograms of real patients. This concurs with the quantitative analyses.
DOI: 10.17632/pd3tzx575r.1
title: Chimeric autoantibody receptor T cells deplete NMDA receptor-specific B cells. Reincke et al

description: Here we provide raw data and graphpad prism analysis on the animal studies, western blot, histology and ELISpot published in "Chimeric autoantibody receptor T cells deplete NMDA receptor-specific B cells." Reincke et al
DOI: 10.17632/vj6cmc4h3m.1
title: Datasets on material properties and energy yields of lab-designed organic fraction of municipal solid waste (OFMSW) components

description: Dataset (File A-E):
- Recipes for lab-designed OFMSW components such as "Food Waste", "Green Waste" or "Paper Waste" (File A)
- Material properties such as concentrations of dry matter, organic dry matter and elements (C, H, N) of all OFMSW components (File B)
- Data on gross calorific value and ash melting behavior of all OFMSW components (File C)
- Data on specific methane yields (anaerobic digestion) of all OFMSW components (File D)
- Data on storage experiments with food waste (File E) as supplementary material for research article "Improving the energetic utilization of household food waste: Impact of temperature and atmosphere during storage" (https://doi.org/10.1016/j.wasman.2022.04.012)
DOI: 10.17632/78ng4tmj75.4
title: Bayesian Force Inference package for Matlab

description: This package allows the user to perform 2D Bayesian Force Inference in Matlab

Reference:
Experimental validation of force inference in epithelia from cell to tissue scale
W. Kong, O. Loison, P. Shivakumar, E.H. Chan, M. Saadaoui, C. Collinet, P.-F. Lenne, R. Clément
Scientific Reports, 2019
DOI: 10.17632/rs4sns574p.1
title: The Drosophila Fab-7 boundary element modulates Abd-B gene activity by guiding an inversion of collinear chromatin organization and alternative promoter use

description: Processed single-cell RNA-seq data, Hi-C data, ChIP-seq data and CUT&Tag data from Drosophila cell lines and imaginal discs.
DOI: 10.17632/ycz85rgzxj.1
title: Analytic continuations and numerical evaluation of the Appell F_1, F_3, Lauricella F_D^(3) and Lauricella-Saran F_S^(3) and their application to Feynman integrals

description: We present our investigation of the study of two variable hypergeometric series, namely Appell F_1 and F_3 series, and obtain a comprehensive list of its analytic continuations enough to cover the whole real (x, y) plane, except on their singular loci. We also derive analytic continuations of their 3-variable generalisation, the Lauricella F_D^(3) series and the Lauricella-Saran F_S^(3) series, leveraging the analytic continuations of F_1 and F_3, which ensures that the whole real (x, y, z) space is covered, except on the singular loci of these functions. While these studies are motivated by the frequent occurrence of these multivariable hypergeometric functions in Feynman integral evaluation, they can also be used whenever they appear in other branches of mathematical physics. To facilitate their practical use, for analytical and numerical purposes, we provide four packages: AppellF1.wl, AppellF3.wl, LauricellaFD.wl, and LauricellaSaranFS.wl in Mathematica. These packages are applicable for generic as well as non-generic values of parameters, keeping in mind their utilities in the evaluation of the Feynman integrals. We explicitly present various physical applications of these packages in the context of Feynman integral evaluation and compare the results using other packages such as FIESTA. Upon applying the appropriate conventions for numerical evaluation, we find that the results obtained from our packages are consistent. Various Mathematica notebooks demonstrating different numerical results are also provided along with this paper.
DOI: 10.25338/b87d0s
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.15468/dl.sju4jd
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus clausa (Chapm. ex Engelm.) Sarg.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 308 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009204-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ftmp4cvtmb.2
title: Histopathological imaging database for Oral Cancer analysis 

description: Total 1224 images are there in this repository. Images are divided into two sets in two different resolutions. First set composed of 89 histopathological images with the normal epithelium of the oral cavity and 439 images of Oral Squamous Cell Carcinoma (OSCC) in 100x magnification. The second set consists of 201 images with the normal epithelium of the oral cavity and 495 histopathological images of OSCC in 400x magnifications. The images were captured using a Leica ICC50 HD microscope from H&E stained tissue slides collected, prepared and catalogued by medical experts from 230 patients.
DOI: 10.17632/njdjkbxdpn.1
title: Military and Civilian Vehicles Classification

description: We created our own dataset featuring the required military and civilian vehicle classes. The dataset contains a total of 6772 images of military trucks, military tanks, military aircraft, military helicopters, civilian cars and civilian aircraft. Out of which, 6642 are positive images and 130 are negative images. Positive images are those which contain one or more of the defined objects (i.e. Military Truck, Military Tank, Military Aircraft, Military Helicopter, Civilian Car, Civilian Aircraft). Negative images are those which contain anything else except the defined objects. All the positive images contains a total of 11528 objects. The use of negative images has a specific purpose, which is, to make the model learn about such an environment when there are no detectable objects in the image. The extension of images was converted from .jpeg and .png to .jpg, since, it is difficult to process the models with the different extensions. After the dataset collection and pre-processing, the formation of specific format files is to be carried out for dealing further with the object detection models. The Labelling is done in .txt, .csv, .xml, and tf record formats.
DOI: 10.17632/354f8dc8xh.2
title: GutierrezBarragan_CB2021_halothane_rsfMRI_mouse_part1

description: Resting state fMRI data from n=19 mice under medetomidine-isoflurane anesthesia (mice were first deeply anesthetized with isoflurane 4% induction, intubated and artificial ventilated 90 BPM, then switched to halothane 0.75%) from Gutierrez-Barragan et al. 2021  (DOI pending). Scans were acquired at the IIT laboratory in Rovereto (Italy) on a 7.0 Tesla MRI scanner (Bruker Biospin, Ettlingen) with a BGA-9 gradient set, a 72 mm birdcage transmit coil, and a four-channel  solenoid receive coil. Awake scans used a single-shot echo planar imaging (EPI) sequence with the following parameters: TR/TE=1200/15 ms, flip angle=60°, matrix=100 x 100, 24 coronal slices (voxel-size 200 x 200 x 500 µm), for a total of 1600 time points, total acquisition time of 32 minutes.  It is suggested to remove the first 100 scans (2 minutes) to account for thermal gradient equilibration.
DOI: 10.17632/86my2r3gj5.1
title: An introduction to Open Science and Research Data Management 

description: "An introduction to Open Science and Research Data Management" by the UniSR/OSR Open Science Team. 

The presentation is divided in two parts: 
- The first briefly discusses the core concepts and principles of Open Science, the benefits of this approach for all stakeholders, and the open science requirements from journals and funders, with a focus on the new policies adopted by the European Commission in the "Horizon Europe" programme (the EU's key funding programme for research and innovation, until 2027). 
- The second part focuses on Research Data Management and provides practical information on Data Management Plans (DMPs), on how to effectively preserve and share research data, and on how to make research data FAIR (Findable, Accessible, Interoperable, Reusable). 

All relevant references are collected in the last slide.
DOI: 10.17632/sncdhf53xc.4
title: OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

description: Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods (OCTDL) comprising over 2000 OCT images labeled according to disease group and retinal pathology.

The dataset consists of the following categories and images:
- Age-Related Macular Degeneration - 1231 images;
- Diabetic Macular Edema - 147 images;
- Epiretinal Membrane- 155 images;
- Normal - 332 images;
- Retinal Artery Occlusion - 22 images;
- Retinal Vein Occlusion - 101 images;
- Vitreomacular Interface Disease - 76 images.

This dataset is published to provide researchers and developers with access to a large set of labeled images, which contributes to the development and improvement of algorithms for the automatic processing and analysis of OCT images for early diagnosis and monitoring of eye diseases. CSV file consists of file_name, disease, subcategory, condition, patient_id, eye, sex, year, image_width, and image_height. The dataset will be updated periodically.

For more information and details about the dataset see: https://arxiv.org/abs/2312.08255

@misc{kulyabin2023octdl,
 title={OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods}, 
 author={Mikhail Kulyabin and Aleksei Zhdanov and Anastasia Nikiforova and Andrey Stepichev and Anna Kuznetsova and Mikhail Ronkin and Vasilii Borisov and Alexander Bogachev and Sergey Korotkich and Paul A Constable and Andreas Maier},
 year={2023},
 eprint={2312.08255},
 archivePrefix={arXiv},
 primaryClass={eess.IV}
}
DOI: 10.17632/pvjwcthdhn.1
title: On salt stress PLETHORA signalling maintains root meristems

description: The data contains the original figures of phenotypes, root tip microscope pictures and blots in this study.
DOI: 10.17632/vm9hjcyddn.1
title: Replication_Package_Blanchard-Bown-Chor_JIE_2024

description: ********************************************************
* Blanchard Bown Chor (2024) Supplementary Material *
********************************************************

by

Emily J. Blanchard, Tuck School of Business at Dartmouth

Chad P. Bown, Peterson Institute for International Economics

Davin Chor, Tuck School of Business at Dartmouth

Supplementary material that accompanies the article "Did Trump's Trade War Impact the 2018 Election?", Journal of International Economics.
DOI: 10.17632/8s7f2k8fwk
title: dataset

description: dataset for "The Impact of AI Anthropomorphism on Digital Brand Equity: A Comparative Study Based on Global and Local Brands"