cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/n6wrv4ry6v.8
title: Powerline Image Dataset (Infrared-IR and Visible Light-VL)

description: Despite a relatively crowded literature about detection of power lines for aircraft safety, the works are mostly optimized with very few training images; some even use artificially generated images. The IR imaging case is even less utilized. The reason is clearly the tremendous workload to obtain real images. With this demand in mind, the authors cooperated with the Turkish Electricity Transmission Company (TEIAS) to obtain video captures from actual aircrafts. Later, the authors made a thorough inspection over the video frames to isolate, capture and clean thousands of valuable images. In this content, 4000 IR and 4000 VL images are acquired and scaled to a size of 128x128. The IR folder contains 2000 IR images with power line and 2000 IR images with no power line. The VL folder contains 2000 VL images with power line and 2000 VL images with no power line. The IR and VL groups were deliberately constructed to contain both regular and especially confusing scenes. "TY" shows that there are no power lines in the images. "TV" shows that there are power lines in the images. The videos were captured from 21 different regions all over Turkey at different seasonal days. Due to varying background behavior, varying temperatures and weather conditions, and varying lighting conditions, the achieved positive set contains several difficult scenes where low contrast causes close-to invisibility for power lines. The original video resolutions were 576x325 for IR and full HD for VL, however, the captured frames were scaled down to smaller sizes and the effect of resizing was tested for various image sizes. An image size of 128x128 is sufficient for a consistently accurate power line recognition.
DOI: 10.17632/ccr8cm22vz.1
title: Anemia Detection using Palpable Palm Image Datasets from Ghana

description: Anemia is a global public health issue that mostly emerges as a result of a decrease in red blood cell count and is particularly prevalent in Africa. Invasive ways of detecting anemia are expensive and time-consuming. Anemia may, however, be diagnosed using non-invasive technologies such as machine learning algorithms. In our study, we compared machine learning models to detect anemia using colour using the palpable palm. The main dataset consisting of the palm were developed using Ghana as a case study for dataset collecting, and the approach employed is as follows.
All photographs were taken by the laboratory personnel, and the Hb Values of patients, age, sex, and a remark (anemic or non-anemic) based on the Hb Value taken were uploaded by technicians or medical laboratory officers using standard high-quality cameras with a minimum of 12MP. The lab officers hold the tip of the fingers and wrist to expose the palm because the participants are minors and cannot completely extend the palm to the expectancy.
Furthermore, to minimize inflated shine effects caused by the picture quality, which greatly impacts detection or classification by the models, the cameras' spotlights were turned off when the photos were photographed. This approach is an excellent way to eliminate the impact of ambient light on photos in datasets. 
The datasets were collected from the undermentioned hospitals located in Ghana; Komfo Anokye Teaching Hospital at Kumasi, Bolgatanga Regional Hospital at Bolgatanga, Kintampo Municipal Hospital at Kintampo, Ahmadiyya Muslim Hospital at Techiman, Sunyani Municipal Hospital at Sunyani, Manhyia District Hospital at Kumasi, Ejusu Government Hospital at Ejusu, SDA Hospital at Sunyani, Nkawie-Toase Government Hospital at Nkawie-Toase and Holy Family Hospital at Berekum.  
The dataset for this study focuses on young children aged five and below. Laboratory technicians take a blood sample from suspected anemic patients to measure the Hb values of the patients, and images of the palpable palm are taken afterwards, and a remark is given based on the Hb value of the patient either anemic or non-anemic. 
The threshold triangle approach was used to extract the ROI of the pictures of the palpable palm; that is, ROI differentiation for binary after the background was generated was inferred in the dataset collecting procedure. Following that, the images were classified as anemic or non-anemic based on the corresponding comments provided by the laboratory Hb result. 
In the procedure of augmenting the images to expand the original size of the datasets, from 710 images (426 are anemic images while 284 are non-anemic images) to 4260 datasets after the image augmentation of because of the augmentation, all photos were labelled "anemic" and "non-anemic," with a number matching to each. 
The reason that all participants are under the age of six, images of their palm may be tiny, as compared to that of adults’ images of the palm.
DOI: 10.17632/tg3z7xxkdb.1
title: vegetable disease

description: vegetable disease
DOI: 10.17632/4j8hcv62j3.3
title: Bond of steel reinforcement in self-compacting concrete

description: The data represent the simulated data obtained using the proposed equation in a previously published research article of the author (Eq. 6), to predict the peak bond stress in self-compacting concrete (SCC). The data consisted of 500 simulations for various concrete grades (C12, C16, C20, C25, C30, C35, C40, C45, and C50) and reinforcing steel bar diameters (10, 12, 16, 20, and 25 mm). The first 20 data correspond to the predicted values of the peak bond stress considering the parameters used in the previous research article of the author. These data are valid for well-confined concrete in which pull-out failure may occur. For additional information about the bond model please consult the reference below. Abbreviations used for the data: f_cm = mean value of the concrete cylinder compressive strength (MPa) φ = diameter of an anchored bar (mm) c_min = minimum concrete cover (mm) l_d = anchorage length of a bar (mm) a_max = height of the transverse ribs of an anchored bar (mm) c = distance between the transverse ribs of an anchored bar (mm) f_R = relative rib area (-) n_t = number of legs of the confining reinforcement crossing a potential splitting failure surface at a section (-) A_st = cross-sectional area of one leg of a confining bar (mm2) n_b = number of anchored bars (-) s_t = longitudinal spacing of the confining reinforcement (-) K_tr = density of the transverse reinforcement (-) τ_R = peak bond stress calculated using Eq. 6 (MPa) MC2010 = peak bond stress from fib Model Code 2010 (MPa) τ_R/MC2010 = ratio of the peak bond stress calculated using Eq. 1 and the peak bond stress from fib Model Code 2010 (-)
DOI: 10.17632/ndcndtstcf.1
title: Dataset on airflow resistance of wings from owls and non-silently flying birds

description: The dataset contains measured airflow resistance values from prepared wings of owls and other, non-silently flying birds. It consists of a comma-separated values (CSV) file named "dataset_wingpermeability.csv" that contains 149 rows and six columns. The first row contains the header and the remaining 148 rows contain the raw data. The first column specifies the species (e.g. Barn owl, Tawny owl, Long-eared owl, Common buzzard, Eurasian sparrowhawk or Common pigeon) as a string format. The second column specifies the corresponding binomial name (e.g. Tyto alba, Strix aluco, Asio Otus, Buteo buteo, Accipiter nisus or Columba livia) as a string format. The third column contains the number of the wing, which have simply been numbered consecutively from 1 to 39 as integer data type. The fourth column specifies whether it is a left wing or a right wing, again as a string value. The next column contains the measurement position on the wing, which have been numbered from 1 to 4 as integers. The final column then contains the measured flow resistance R in Pa s/m³ as floating point values. The csv-file uses Unicode (UTF-8) character encoding and the fields are separated by commas.

The corresponding figure is a Portable Document Format (PDF) file named "wingpermeability_boxplot.pdf". It shows the measured air flow resistances contained in the dataset as a box plot. It can be seen that, on average, the airflow resistance of the owl wings is significantly lower than that of the wings of the non-silently flying birds.

A third figure ("measurement_positions.pdf") shows a photograph of one of the Barn Owl wings as an example, indicating the four the measurement positions on the pressure side of the wing.
DOI: 10.17632/ymfk792r6n.1
title: Data and code for study "Economywide effects of climate-smart agriculture in Ethiopia"

description: Details: the zip file 'csaEth.zip' contains four main folders that hold the code and data required to replicate the main results reported in the study titled "Economywide effects of climate-smart agriculture in Ethiopia". The study DOI is https://doi.org/10.1111/agec.12523. Study authors: Adam M. Komarek, James Thurlow, Jawoo Koo and Alessandro De Pinto Author to who correspondence may be addressed: Adam Komarek (https://orcid.org/0000-0001-5676-3005) Most recent edit: July 12th, 2019 Description of the four main folders inside 'csaEth.zip: 1. The folder 'scripts' contains the R scripts. There are 7 scripts, which are ordered sequentially. 'csaEth.Rproj' is the R project and it must be opened to set the project directory, which is needed to import the data inside the R scripts. 2. The folder 'data' contains the data used in the R scripts including the results of the crop modeling. 3. The folder 'output' contains the tables, figures, and data files generated by the R scripts. 4. The folder 'Ethiopia_CSA_CGE_model' contains 1) the GAMS code and associated data files for the CGE model used to generate the economywide results. Within GAMS use '0project.gpr' as the project. and 2) The Stata files and data required to generate the poverty results.
DOI: 10.17632/5cmd897ckw.1
title: Andreakos_Dourmas_Katsigianni,2021. Climate  change - The Relationship of Rainfall with the Ecological Footprint and the UHI

description: The greenhouse effect and the consequent changes in weather conditions lead to extreme climate
change. In this study we will present a summary of studies, regarding precipitation and how it affects
the precipitation of greenhouse gases in the soil, agricultural production, ecological footprint and
urban heat island (UHI). The greenhouse effect and the corresponding changes in weather conditions
have led to extreme climate change. The theoretical framework of this paper includes a summary of
studies regarding rainfall and how it affects the precipitation of greenhouse gases in the soil,
agricultural production, ecological footprint and the urban heat island (UHI). The aim of this paper is
to highlight how bio-capacity interacts with population and respectively, ecological footprint with
GDP, in the 28 countries of the European Union. In addition, the change of Gini index in each country
was examined in order to draw useful conclusions about its influence on the aforementioned factors
and in particular on GDP and population by taking into account three decades with a base year of
1997. Specifically, data were collected and analyzed for each decade i.e. taking values for years 1997,
2007 and 2017 before the final conclusions were drawn. The paper attempts to show how Gini index
has changed over the years in EU countries, compared to changes in GDP and population of each
country.
DOI: 10.17632/kdw9z9yrhd.1
title: Ultrafast_Echocardiography_for_rSVD

description: This is an in vivo ultrafast echocardiography dataset used for randomized singular value decomposition (rSVD) clutter filtering as presented in our paper (Figures 2-8 and supplementary video). This subject (male, 27-year-old) was scanned with two sub-apertures (M=2) and four different numbers of cascaded waves (W=4,8,16,32) to acquire echoes at different signal-to-noise (SNR) levels by our previously published CaSA method (doi: 10.1109/TUFFC.2019.2925282).
File "PDop_27yo_male_M2W8.mat": processed results (a threshold of 640 was applied to both full-SVD and rSVD with all the 4000 frames). Power Doppler images can be viewed using the command (MATLAB) as shown below:
figure, imagesc(bflow_azimuth,bflow_depth,pDop_rsvd(:,:,:,frm), dataLIMS),hold on,colormap(gca,'hot'); xlabel('Azimuth (mm)'); ylabel('Depth (mm)');title('rSVD-processed result'); axis('image');
DOI: 10.17632/vykf3g4z5g.2
title: 40 Transcriptomes from Sileneae

description: A set of 40 transcriptomes from 34 different species of the flowering plant genus Silene (Caryophyllaceae) and the related genera Agrostemma, Atocion, Eudianthe, Heliosperma, Petrocoptis and Viscaria. The files included in this data set contains contigs assembled using Trinity together with information on annotation against the UniProt/SwissProt database.
DOI: 10.15468/dl.vgfkys
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus serotina Michx.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 218 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009245-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8b33tx79wt.1
title: Shaft orbits dataset: parallel and angular misalignment

description: The dataset contains patterns of shaft orbits obtained at testbed having angular and parallel misalignment of different severity. For detailed explaination, please, see *.docx file.
DOI: 10.17632/2yv6rv3pzs.1
title: Development of a transfer learning-based, multimodal neural network for identifying malignant dermatological lesions from smartphone images

description: Early skin cancer detection in primary care settings is crucial for prognosis, however primary care physicians often lack relevant training. Machine learning (ML) tools offer a potential solution by enabling systematic triaging of suspicious lesions using images. This study aims to develop a novel neural network for the binary classification of skin lesions into malignant and benign categories using smartphone images and clinical data via a multimodal and transfer learning-based approach.

We used the PAD-UFES-20 dataset, which included 2298 sets of images and associated clinical data. Three neural network models were developed: a clinical data network, an image-based network based on a pre-trained DenseNet-121, and a multimodal network combining clinical and image data. Models were tuned using Bayesian Optimization HyperBand (BOHB) across 5-fold cross-validation.

The neural network models were built using keras 3.3.3 and tensorflow 2.16.1. BOHB tuning was completed using ray 2.30.0.
DOI: 10.17632/9nxfdxrvc8.1
title: Penelitian Skripsi

description: kumpulan jurnal tentang limbah, parameter, bakteri dll.
DOI: 10.17632/f8n37xtbmg.1
title: Axially deformed solution of the Skyrme-Hartree–Fock–Bogoliubov equations using the transformed harmonic oscillator basis (II) hfbtho v2.00d: A new version of the program

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We describe the new version 2.00d of the code hfbtho that solves the nuclear Skyrme-Hartree–Fock (HF) or Skyrme-Hartree–Fock–Bogoliubov (HFB) problem by using the cylindrical transformed deformed harmonic oscillator basis. In the new version, we have implemented the following features: (i) the modified Broyden method for non-linear problems, (ii) optional breaking of reflection symmetry, (iii) calculation of axial multipole moments, (iv) finite temperature formalism for the HFB method, (v) li... Title of program: HFBTHO v2.00d Catalogue Id: ADUI_v2_0 Nature of problem The solution of self-consistent mean-field equations for weakly-bound paired nuclei requires a correct description of the asymptotic properties of nuclear quasiparticle wave functions. In the present implementation, this is achieved by using the single-particle wave functions of the transformed harmonic oscillator, which allows for an accurate description of deformation effects and pairing correlations in nuclei arbitrarily close to the particle drip lines. Versions of this program held in the CPC repository in Mendeley Data ADUI_v1_0; HFBTHO (v1.66p); 10.1016/j.cpc.2005.01.001 ADUI_v2_0; HFBTHO v2.00d; 10.1016/j.cpc.2013.01.013
DOI: 10.17632/m4ndy7tcss.1
title: Topic-aware sentiment analysis

description: Data used in experiments with topic-aware sentiment analysis The code for the paper is currently in this repository (https://github.com/iskander-akhmetov/Topic-Aware-Sentiment-Analysis-of-News-Articles/). The source corpora we used, collected, or augmented: Original corpora: ------------------- 1. News articles scraped from different Kazakhstani online media resources and labeled by the experts: IAC_experts_labeled_corpus.zip 2. Kaggle Sentiment Analysis in Russian dataset: https://www.kaggle.com/c/sentiment-analysis-in-russian/data 3. TengriNews.kz articles corpus scraped: tengrinews_articles-all-clean_lt.zip Corpus lemmatized and augmented with topic labels (by us): ------------------------------------------------------------------ 1. IAC augmented: IAC_experts_labeled_corpus-lemmatized-topic.zip 2. Kaggle augmented: sentiment-analysis-in-russian-lemmatized-topic.zip 3. TengriNews augmented: tengrinews_articles-numword_norm-lemmatized-topic.zip
DOI: 10.17632/fsdf4f4yv5.1
title: A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China

description: This dataset includes all the necessary data and code for building prediction models, such as CNN, LSTM, CNN-LSTM, CEEMDAN, Boosting, and GRU, as required for the article.
DOI: 10.17632/57zpx667y9.2
title: SANAD: Single-Label Arabic News Articles Dataset for Automatic Text Categorization

description: SANAD Dataset is a large collection of Arabic news articles that can be used in different Arabic NLP tasks such as Text Classification and Word Embedding. The articles were collected using Python scripts written specifically for three popular news websites: AlKhaleej, AlArabiya and Akhbarona. All datasets have seven categories [Culture, Finance, Medical, Politics, Religion, Sports and Tech], except AlArabiya which doesn’t have [Religion]. SANAD contains a total number of 190k+ articles. How to use it: ___________ 1. Unzip compressed resources. 2. Each folder contains 6-7 sub-folders which are labeled by the category's name. 3. Each sub-folder contains a set of article files corresponding to its category. SANAD_SUBSET is a balanced benchmark dataset (from SANAD) that is used in our research work. It contains the training (90%) and testing (10%) sets. How to use it: ___________ 1. Unzip the compressed file. 2. There are 3 main folders containing the 3 datasets: Akhbarona, Khaleej, and Arabiya. 3. Each dataset-folder contains 2 sub-folders: training and testing. 4. The training and testing folders include the balanced categories sub-folders.
DOI: 10.17632/cgxzpfnzsj.1
title: Mapping the Impact of Development Finance Institutions on Sustainable Development Goals: systematic mapping, classification, and future direction

description: Mapping the Impact of Development Finance Institutions on Sustainable Development Goals: systematic mapping, classification, and future direction
DOI: 10.17632/jpvxk87wp5.1
title: Raw GC-HRTOF-MS data and spectra of sorghum and ting metabolites

description: Raw GC-HRTOF-MS data of sorghum and fermented products (ting) as well as spectra data of identified metabolites. Raw (unfermented whole grain sorghum, n=3); 3424 (spontaneously fermented ting samples at 34 oC for 24 h, n =3); 3424 (3165) (ting fermented with Lactobacillus fermentum FUA 3165, n=3); 3424 (3321) (ting fermented with Lactobacillus fermentum FUA 3321, n=3); 3424 (3165+3321) (ting fermented with a combination of Lactobacillus fermentum FUA 3165 and Lactobacillus fermentum FUA 3321).
DOI: 10.17632/sd29fgb8ch.1
title: Replication package for 'Oil prices, manufacturing goods, and nontradeable services'

description: Replication package for the paper "Oil prices, manufacturing goods, and nontradeable services"
DOI: 10.17632/89j2vt22rj.1
title: Research Data

description: Research Data
DOI: 10.17632/5b6prtspwz.1
title: Velocity and Volume Change Data for the Khurdopin Glacier Surge 2017

description: The data includes all raster data (.tif files) as well as necessary outlines (.shp files) used in the study 'Brief Communication: The Khurdopin glacier surge revisited – extreme flow velocities and formation of a dammed lake in 2017'. A ReadMe file is provided in the folder describing the datasets used in this study, as well as describing the provenance of the original raw data. Data from Planet as well as TanDEM-X can not be shared openly, as they were acquired by the research team with personalized grants with restrictions. All other data (Landsat, ASTER, SRTM) is openly accessible.
DOI: 10.17632/jgt7ghdmg5.1
title: Cactus dataset

description: The global climate is currently experiencing rapid changes that have significant impacts on various regions. Consequently, there is a growing inclination towards cultivating non-traditional crops, such as the prickly pear. People are now exploring the diverse health and aesthetic benefits of the prickly pear, beyond its conventional applications in livestock feed and farmland protection. Given this mounting interest, it is imperative to develop enhanced methods for the early detection and treatment of cactus diseases. In light of the limited availability of cactus databases, we have undertaken the task of compiling a comprehensive collection of images portraying both healthy cacti and those infected with the cochineal insect. The intended purpose of this collection is to facilitate advancements in the fields of deep learning and computer vision.
DOI: 10.17632/2nhjxzgf8v.1
title: Life cycle inventory dataset and assessment of four case studies of electricity generation

description: This dataset contains the LCA inventory data (case studies and regionalised supply chain) to reproduce the results of the the study "Spatially explicit life cycle assessment reveals environmental hotspots of renewable electricity generation" and the evaluation of the LCIA results. A detailed description of how to use the inventory data is provided in the README file. To reproduce the hotspot maps presented in the study with qgis two layer style files are provided.
DOI: 10.17632/fsxwvhf6m6.1
title: Investigation and Research on Innovation Performance of Chinese High-tech Service Enterprises

description: A questionnaire survey was carried out to study the influencing factors of innovation performance of Chinese high-tech service enterprises. The subjects of the survey are Chinese high-tech service enterprises. The number of valid questionnaires received was 489.