cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/n6gn3k4dkn.1
title: RFID (RC522) simple signal strength detection via changing antenna gain

description: Based on RC522 and Arduino R3. RC522 does not have the capability to read signal strength. In this case, the code changes antenna gain to detect whether it can read the tag or not. It can only read 7 levels of signal strength and which is enough for a basic demonstration. LCD is an optional choice for this. The LCD displays signal strength of reader in dB.
DOI: 10.15468/dl.epurwv
title: Occurrence Download

description: A dataset containing 11528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus sylvestris L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 11528 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009254-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ywjxpyw95w.1
title: Indeterminate Likert Scale - Sample Dataset - Customer Feedback of Restaurant

description: Research Hypothesis: Using the concept of Neutrosophy to deal Indeterminacy in Feedback Data: Feedback given by customers of a restaurant. Questionnaire based on six factors, i.e., Quality of Food, Service, Hygiene, Value for money, Ambiance, Overall Experience. Each question (based on the factor) has five membership values as follows: , Positive, Positive Indeterminate, Indeterminate, Negative Indeterminate and Negative.
DOI: 10.17632/c3xvj5snvv.1
title: Tweets with traffic-related labels for developing a Twitter-based traffic information system.

description: This data contain tweets that have been collected through Twitter search API. Each tweet has been classified into one of the three categories: 1) Non-Traffic (NT)-Class 0: Any tweet that does not fall into the other two categories is labeled as NT. 2) Traffic Incident (TI)-Class 1: This type of tweet reports non-recurring events that generate an abnormal increase in traffic demand or reduces transportation infrastructure capacity. The examples of non-recurring events include traffic crashes, disabled vehicles, highway maintenance, work zones, road closure, vehicle fire, traffic signal problems, special events, and abandoned vehicles. Since the ultimate goal of our framework is to inform users and agencies on the occurrence of a traffic incident in a real-time basis, if a tweet reports on the clearance or re-opening of roads that had already been affected by non-recurring traffic events, that tweet is classified as TCI, the third tweet category. Indeed, such tweets are providing information on the current status of the network rather than informing an ongoing traffic incident. 3) Traffic Conditions and Information (TCI)-Class 2: This type of tweet reports traffic flow conditions such as daily rush hours, traffic congestion, traffic delays due to high traffic volume, and jammed traffic. Also, any tweets that disseminate new traffic rules, traffic advisory, and any other information on transport infrastructures (e.g., new facilities or changing the direction of a street) are classified as TCI. Two types datasets are available: (1) 2-class dataset, in which tweets are categorized into traffic-related tweets (i.e., TI and TCI) and non-related-traffic tweets (i.e., only NT). 2) 3-class dataset, in which tweets are categorized into three groups including NT, TI, and TCI. Each type has its own training and test sets. Each csv file has three columns. First Column: Tweet class number according to the above definition. Second Column: Tweet id fetched from the Twitter API. Note that the 's' character should be removed. Third Column: The tweet text, that is used for analysis. Other attributes of each tweet (e.g., user’s screen_name, UCT time when the tweet is created, tweet’s unique ID, the geographic location of the tweet when posted) can be retrieved using the tweet id.
DOI: 10.17632/5tbzbws3xw.1
title: PuBe neuton spectra

description: Neutron spectrum for PuBe source 54/02-107-6228 at IFIN-HH, Romania Full neutron spectrum, neutron spectrum in coincidence with the 4.4 MeV gamma ray, neutron spectrum to the ground state without gamma coincidence Smoothed once using algorithm 353QH P.-A. Söderström, Characterization of a plutonium-beryllium neutron source, Appl. Radiat. Isot., submitted
DOI: 10.17632/r5tfv3pp8k.1
title: Data for: Dataset on the green consumption behaviour amongst Malaysian consumers

description: The data consists of 375 samples of data for seven variables related to Green Consumption Behaviour - Environmental concern, Social influence, Perceived behavioural control, Consumer innovativeness – Novelty seeking and Green Consumption Behaviour alongside with Demographic information such as age, gender, education level, occupation, ethnicity, marital status, personal income, number of household, work category and Media consumption preference.
DOI: 10.17632/jxzgfw47wg.1
title: Data and Code for 'Machine-Learning the Skill of Mutual Fund Managers'

description: Data and Code for 'Machine-Learning the Skill of Mutual Fund Managers'
DOI: 10.17632/zcrszsjcmp.2
title: Dataset Hashtag and Digital Mobilization Movements on #BubarkanPolri and #PolriPresisi

description: This Data will describe the structure and network of Twitter social media users related to polemics between the community and the National Police. The data used in this study are data (tweets) using #BubarkanPOLRI and #Polripresisi collected in the time span of October 1 – October 8, 2022
DOI: 10.17632/wnmzy886xr.1
title: Data for: An adaptive multi-objective algorithm based on decomposition and large neighborhood search for a green machine scheduling problem

description: Source code and set of instances.
DOI: 10.17632/km22458grp.2
title: Trends in the Oil price and the stock market research

description: All 1084 publications on the topic of the Oil price and the stock market on Scopus!
DOI: 10.17632/pvg62yws7g.1
title: Microbiota-derived short-chain fatty acids determine stem cell characteristics of gastric chief cells

description: Uncropped Western blots for Haegndueng Jeong et al.
DOI: 10.17632/tcckx875vr.1
title: Data for: Does Interbank Market Matter for Business Cycle Fluctuation? An Estimated DSGE Model with Financial Frictions for the Euro Area

description: Replication dynare code
DOI: 10.17632/ft2f3xhjz7.1
title: 3D-DPCCA

description: Code to reproduce the key findings in "Deep Representation Learning of Tissue Metabolome and Computed Tomography Images Annotates Non-invasive Classification and Prognosis Prediction of NSCLC"
DOI: 10.17632/gd5t95rv5t.1
title: TRIB Crack Dataset

description: TRIB crack dataset was generated by the authors this study and was used a professional digital camera. During the capturing process, 7 streets from the capital of Romania, respectively Bucharest were inspected at different time of the day (morning, noon and evening). 
To overcome all the needs required in the process of deep learning methods the captured images contain different types of road cracks such as longitudinal, transversal, block, alligator and a various type of artefacts suck as oil stains, road markings on the asphalt, leaf and so on. The images were taken from 100 centimeters above the road surface and the dataset consists of 137 RGB images. To make the images suitable to be used in a deep learning methods, the images were divided into small images with a size of 256x256 pixels, being also applied different method of image augmentation
DOI: 10.17632/44nrn4593f.1
title: Comprehensive Lemon Leaf Disease Dataset for Advanced Detection and Sustainable Agriculture

description: The diseases of the lemon leaf are one of the major obstacles to its culture, leading to reduced yields and economic losses in agricultural areas like Bangladesh. The early detection and proper classification of these diseases will help in the efficient management of diseases and the protection of the crops. The manual detection of such diseases is laborious and hence might not be perfect; there is a dire need for automatic systems based on modern computer vision techniques.

In the backdrop of this context, we introduce a complete Lemon Leaf Disease Detection Dataset to support the development of models that will automatically detect diseases. We provide high-resolution images of healthy and diseased lemon leaves from various prevalent disease conditions in Bangladesh. Our dataset consists of a total of nine classes of images which include anthracnose, bacterial blight, citrus canker, curl virus, deficiency leaf, dry leaf, healthy leaf, sooty mould, and spider mites. These classes were prepared with the help of agricultural experts to make the labeling and classification accurate.

A total number of 1,354 raw images were captured manually from Melandaha, Jamalpur with the help of an agriculture expert from July to September 2024. The images were captured using an iPhone 14 Plus with a resolution of 800×800pixels to ensure quality visual data for training and evaluation. Further enhancement of the dataset was made by generating 9,000 augmented images using different augmentation techniques: flipping, rotation, zoom, shear, and brightness. This, in turn, makes the dataset even more diverse, which enhances the performance of deep learning models across different scenarios.

The Lemon Leaf Disease Detection Dataset will help researchers and practitioners develop and improve the performance of machine learning models for precision agriculture. A diversified and well-structured dataset like this is bound to help one construct an algorithm of high performance for early disease detection that could support sustainable agricultural practices in improving crop yield outcomes.

1. Original Dataset:
 Number of datasets: 1354
 Data format: .jpg

2. Augmented Dataset:
 Number of datasets: 9000
 Data format: .jpg
DOI: 10.17632/vgj5x6nwvn.1
title: Raw data of ulnar shortening osteotomy

description: Raw data of ulnar shortening osteotomy
DOI: 10.17632/2bdfjb99k5.1
title: GTLD: A dataset of tomato leaf diseases

description: The images in the dataset were taken by hand using a DSLR camera and a high-quality cell phone in direct sunshine, with some even taking place beneath the plant's shaded sections. Images of common plant diseases such leaf miner, leaf curl, blight, cutwork infected leaf, leaf spot, and Alternaria were gathered from various tomato cultivation fields. An expert assisted in sorting the randomly selected images. The images were downsized from their original 3096 × 4128 dimensions to 256 × 256. Researchers and students from various backgrounds can train, test, and validate classification algorithms using our suggested dataset.
DOI: 10.17632/j2psxvn4dd.1
title: Influence of graphite precursor on composition, morphology and structure of graphene materials obtained by thermal exfoliation-reduction of graphite oxide

description: This study aimed to determine the influence of the graphite precursor on the composition, morphology and structure of graphene materials obtained by thermal exfoliation-reduction of graphite oxide.
The influence of the graphite precursor structure on the properties of the obtained graphene material is little understood in light of available literature data. Relating the composition, morphology and structure of graphene materials to the properties of the graphite precursor used is an important cognitive problem that needs to be solved. Moreover, the task set in the present research was to develop an oxidation method that would be more efficient compared to previously used modifications of the Hummers method.

The descriptive table consists of results data from:
* Elemental analysis
* Analysis of graphite mineral matter
* X-ray structural testing (XRD)
* Raman spectroscopy
* Thermogravimetric (TG) analysis
* Structural infrared studies (FT-IR)
* Scanning electron microscopy (SEM)
*  X-ray photoelectron spectroscopy (XPS) 
* Atomic force microscopy (AFM) 
* Porous texture analysis by N2 sorption at 77K
DOI: 10.17632/fzsvncymf3.1
title: Rietveld Refinement WO3 powders (MAUD)

description: This data set is related to structural studies of WO3 powders obtained using wet chemical and homogeneous precipitation synthesis.
DOI: 10.17632/6vw8h8yf2t.1
title: Rearranged and subdivided track recording of a car within a suburban environment

description: This dataset contains two track recordings of a car within a German suburban environment in a Cartesian coordinate frame. The car is equipped with a precise and seamless localization framework. The track recording is simplified by means of the Douglas-Peucker algorithm, split into curves of 40 m length, translated such that the initial point is the origin of the coordinate system and rotated such that the first segment has the same orientation as the x-axis.
DOI: 10.17632/y8hvtzzkb4.1
title: Data set: The cumulative impacts of droughts and air pollutants on Norway spruce (Picea abies) in Switzerland based on 37 years of forest monitoring

description: This data set provides mortality data of Norway Spruce (Picea abies) from long-term forest obseravtion plots in Switzerland. The data set includes data from the start of the Intercantonal Forest Observation Program in Switzerland in 1984 until 2021.
DOI: 10.17632/y7v7ff3wpj.1
title: Pediatric Anemia Dataset: Hematological Indicators and Diagnostic Classification

description: This dataset includes clinical and hematological parameters from pediatric Anemia patients. It is designed to support the development of predictive models, aiding in the early diagnosis and personalized management of Anemia. This dataset will be beneficial for research in hematology, pediatric care, and healthcare prediction modeling.

Dataset Content: Hematological parameters from anemia patients
Healthcare Provider: Alok Healthcare Ltd., Dhaka, Bangladesh
Patient Demographics:
Sex: Male/Female
Age: Age of each patient
Key Hematological Parameters:
Hemoglobin Level (Hb): Indicator of anemia severity
Red Blood Cell (RBC) Count: Number of red blood cells per unit volume
Packed Cell Volume (PCV): Percentage of blood volume occupied by red blood cells
Mean Corpuscular Volume (MCV): Average volume of red blood cells
Mean Corpuscular Hemoglobin (MCH): Average hemoglobin content per red blood cell
Mean Corpuscular Hemoglobin Concentration (MCHC): Concentration of hemoglobin in a given volume of red blood cells
Outcome Variable: Reflects diagnostic or clinical outcomes associated with anemia
Purpose: To understand hematological changes and support clinical analysis and prediction for anemia management
DOI: 10.17632/tkwzysr4y6.3
title: Prediction of Venous Thromboembolism in Diverse Populations Using Machine Learning and Electronic Health Records

description: Contains resources needed to train, test, and analyze performance of gradient boosting models used to predict venous thromboembolism (VTE) from electronic health record (EHR) data.

Prediction.ipynb: Contains code needed to run trained models.
Small, Medium, and Large.xlsx: Excel templates to correctly format data for prediction generation.
Models.zip: Contains trained models. Note that this is 0.4 GB once unzipped.
Analysis.ipynb: Contains code used to train the models.

Dependencies: Python 3.10.9; Pandas 1.5.1; LightGBM 3.3.2.
DOI: 10.17632/zy8fvvwfsb.1
title: Relationships between channelization, sedimentation and coastal flooding in the deltaic environment of the ancient harbor of Lattara, southern France

description: Sedimentological and biological data (grain size, magnetic susceptibility, macrocharcoals, malacology, ostracods)
DOI: 10.17632/hbppd883sd.1
title: Infant's Cry Sound

description: Classify the infant's cry sound into 3 classes: hungry, tired, and uncomfortable.
DOI: 10.17632/nx9twt29yz.1
title: Data for: Online Coupling of Analytical Hydrophobic Interaction Chromatography with Native Mass Spectrometry for the Characterization of Monoclonal Antibodies and Related Products
DOI: 10.17632/kkhs9zr69y.1
title: Supplementary Information for Mitchell and Rabinovitch et al., A Proposed Cryovolcanic Eruption Model for Enceladus’ Plume

description: All scripts and data used in the paper Mitchell and Rabinovitch et al., "A Proposed Cryovolcanic Eruption Model for Enceladus’ Plume" - please see the README file for a more detailed explanation of the repository. Matlab version 2021 or later is required to run these codes.
DOI: 10.17632/8gfxch4kb9.2
title: HIV-1 env does not enable the development of protective broadly neutralizing antibodies is an experimental autoimmune encephalomyelitis mouse model

description: DOI for this work is: 10.3389/fimmu.2021.771359
Published in 2021 by Lucia Lopalco et al.
Recent studies showed that immunological tolerance may restrict the development of Env-specific autoreactive broadly neutralizing antibodies. This evidence is consistent with the finding that Env immunization of a systemic lupus erythematosus (SLE) murine model produced antibodies that neutralize tier 2 HIV-1 strains. In this study, we address the possibility of eliciting neutralizing anti-Env antibodies in other autoimmune diseases such as multiple sclerosis (MS). While, as reported for SLE, we showed for the first time that a small number of HIV-1 negative, relapsing remitting MS patients exhibited antibodies with neutralizing properties, our attempts at inducing those antibodies in a EAE mouse model of MS failed. The success in eliciting Env-specific neutralizing antibodies might be related to the specific characteristics of the autoimmune disease, or it might rely in improving the vaccination design. Studies using mouse models are useful to gain insight in how HIV-specific neutralizing antibody responses are regulated in order to develop a protective HIV-1 vaccine. The raw data of each figure reported in the manuscript is reported here. In total we have 6 different files.
DOI: 10.17632/j9r6ds45zb.1
title: Data for: Comparison of floc properties of coagulation systems: effect of particle concentration, scale and mode of flocculation

description: The image used for calculating the floc sizes is included in this data set. The caption of the images include the system and the concentration of the input TOC and turbidity. RM refers to rapid mixing in jar test, SM refers to slow mixing in jar test and CC refers to conventional clariflocculator. After this initial, the TOC is indicated in mg/L and then turbidity is indicated in NTU.
DOI: 10.17632/fmkvzbk3nt.1
title: Accelerating first-principles estimation of thermal conductivity by machine-learning interatomic potentials: A MTP/ShengBTE solution

description: Data for manuscript, entitled: "Accelerating first-principles estimation of thermal conductivity by machine-learning interatomic potentials: A MTP/ShengBTE solution" (1) python scripts developed for the ShengBTE/MLIP interface, (2) a guide for passive training of MTPs using the MLIP package, (3) examples of VASP input scripts for the AIMD simulations, (4) samples of untrained MTPs, (5) ShengBTE input files for all the considered examples along with the numerical procedure to extract the anharmonic force constants for every example using the trained MTPs.
DOI: 10.17632/hcywkb84gk.2
title: Supplemental Materials: Understanding potential opportunities and risks associated with feeding supplemental rumen available fats to mitigate enteric methane emissions in lactating dairy cows

description: Supplemental Materials: Understanding potential opportunities and risks associated with feeding supplemental rumen available fats to mitigate enteric methane emissions in lactating dairy cows
DOI: 10.17632/kfz2fbrkdx.1
title: Data on spatiotemporal microsatellite allele frequencies of 1384 Maniola jurtina samples across Europe

description: Data from the first eight years of the Butterfly Genetics Monitoring Scheme, a pilot study intended to create a genetic diversity monitoring scheme for a Lepidopteran species. Six microsatellite loci were used to generate genotype frequencies for 1384 meadow brown butterfly (Maniola jurtina) individuals. In total these data include repeated samplings from sites over an eight-year period (2012-2020), as well as a wide spatial coverage across Europe for a single year (2017). These data allow both the continuous monitoring of genetic diversity for a subset of sites, but also a snapshot of the genetic diversity of a species across a continent. A full description of the methods will be provided in an article currently in preparation titled: Monitoring spatiotemporal patterns in the genetic diversity of a European butterfly species.
DOI: 10.17632/f7h45y9nc4.1
title: Data for: A new concept of thermal management system in Li-ion battery using air cooling and heat pipe for electric vehicles

description: The appropriate selection of the design parameters as a TMS and the decision of their values were the important factors in establishing control over the maximum battery’s module temperature and performance. The design parameters and their range values were selected for developing a more successful cooling system on the basis of the review of previous works. In this work, the hybrid cooling system studied experimentally and numerically. In experimental tests the effect of natural and forced convection considered on the module temperature and the uniformity of temperature. For further consideration validate the simulation with experimental data. Afterward, various design parameters, such as the different inlet velocity, different ambient temperatures, and different spacing between the cells in the module have simulated. Moreover, the influence of adding heat pipe and HPCS has been considered. All these parameters and designs have a high influence on controlling the temperature rise and maintaining uniform heat distribution between the cells in the module. The effect of a number of above-mentioned parameters on Li-ion battery module temperature was observed in various studies. However, there is no study on the effect of L shape heat pipe when the condenser and evaporator located inside the pack.
DOI: 10.17632/hmbhcj5s4f.1
title: Surface Deformation and Seismicity Induced by Poroelastic Stress at the Raft River Geothermal Field, Idaho, USA

description: Seismicity file and code for pore pressure and poroelasticity
DOI: 10.17632/syzxwxn6w8.1
title: Structural parameters of Cr-doped Al2O3 

description: Structural parameters are obtained from xrd spectra of Cr-doped Al2O3. It includes Crystallinity, Crystallite size, Micro strain, and Dislocation density