cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9x2g6dsbtv.1
title: Bat Echolocation Call Analysis with Deep Learning Models

description: This code project contains a multitude of scripts often required for understanding bat echolocation call data. 

Basic scripts in the data preparation are provided for:
- cleaning audio data
- processing audio data into linear spectrograms or Mel-Frequency-Cepstral-Coefficients (MFCC)
- creating unique IDs for each pair of image and corresponding label

The optimization core contains the following functionalities:
- basic but highly customizable training and validation functions for neural network models
- performance metrics to evaluate models for various tasks, binary and multi-class, respectively
- logger classes to track various values and parameters 

The analysis part is divided into an unsupervised learning approach and a supervised learning approach. 
First, with the help of unsupervised methods like autoencoders and clustering algorithms like UMAP, the datasets can be analysed for general geometric properties.
The convolutional autoencoder is used to learn an efficient representation of the data and feed the UMAP clustering algorithm with highly compressed latent feature vectors for faster convergence. 
The clustering can reveal similarities between specific classes then and guide the further analysis with supervised learning methods by adjusting the composition of classes and dataset sources before deciding to train a supervised neural network model. 
Dataset sources encompass meta data like year/time of measurement and location/position of measurement devices.

The used dataset is confidential and this code project is hand-tailored to this dataset. 
Nevertheless, all concepts used in this project are applicable to most animal call datasets that provide labeled audio data. 
Thus, this code project can be a helpful template for future research in animal acoustic analysis and specifically for bat echolocation call data.
DOI: 10.17632/nf853r8xsj.1
title: Plasma proteomics reveals tissue-specific cell death and mediators of cell-cell interactions in severe COVID-19 patients. Filbin et al.

description: Supplementary tables for the paper: Filbin et al. Plasma proteomics reveals tissue-specific cell death and mediators of cell-cell interactions in severe COVID-19 patients (2021). Cell Reports Medicine. Accepted.
DOI: 10.17632/998m4jy3m9.2
title: BANGLA-ABSA: Unique Aspect Based Sentiment Analysis datasets in Bangla Language

description: In the Bangla language, sentiment analysis is becoming more and more significant. Aspect-based sentiment analysis (ABSA) predicts the sentiment polarity on an aspect level. The datasets were collected from various well-known websites like Facebook, YouTube, online portals, etc. The datasets are organized in a folder named "BANGLA_ABSA dataset" which has four Excel files, one for each of the datasets: Car_ABSA, Mobile_phone_ABSA, Movie_ABSA, and Restaurant_ABSA. Each Excel file contains three columns namely Id, Comment, and {Aspect category, Sentiment Polarity}. Car_ABSA, Mobile_phone_ABSA, Movie_ABSA, and Restaurant_ABSA datasets have 1149, 975, 800, and 801 rows of data respectively.
DOI: 10.17632/37pm7jk7jn.1
title: The dataset of photoplethysmography signals collected from a pulse sensor to measure blood glucose level

description: Non-invasive monitoring and surveillance methods of blood glucose measurement can provide ease of use and simplicity for different individuals while reducing the risks and damages of invasive methods. The non-invasive method based on photoplethysmography (PPG) signal is one of the innovative methods on this topic which numerous studies have been conducted by research centers and various companies. However, due to various reasons, the reviewed dataset was not available and no standard dataset has been published on this topic. The presented dataset, which was sampled by the research team of the digital systems of the University of Science and Technology in Mazandaran, Behshahr, Iran, includes 67 raw PPG signals with 2175 Hz sampling frequency along with labeled data: age, gender, and the invasive blood glucose level which can be used in other studies and learning algorithms.
DOI: 10.17632/zwgn543vjw.1
title: Agronomic responses of selected improved sorghum [Sorghum bicolor (L.) Moench] varieties to scheduled water stress

description: The 13th sustainable development goal urges to take urgent action to combat climate change and its impacts, in this vein, continued evaluation for drought tolerance traits in crops with high climate-smart potential is imperative. The agronomic responses of three improved sorghum varieties (SAMSORG 44, SAMSORG 47, SAMSORG 48) under severe water stress conditions were investigated in a screen house study in 2022 (August - December) as a 3 x 3 factorial experiment laid out in plastic pots arranged in a completely randomized design (CRD) with three replications. Three soil moisture stress levels [well-watered (WW), moderately drought-stressed (MDS) and severely drought-stressed (SDS) conditions] corresponding to 100, 50 and 25 % respectively of fractional soil available water (FSAW) determined gravimetrically were imposed on all the three varieties at 21 days after sowing (vegetative) and at 50 % flowering (reproductive) for 2 weeks respectively. All agronomic (phenological, growth, and yield and yield components) parameters measured, were not significantly (p&lt;0.05) influenced by drought stress imposition. There were significant (p&lt;0.05) interactions between water treatment and variety. The three sorghum varieties responded differently (p&lt;0.05) based on the FSAW dynamics at both vegetative and reproductive stages. SAMSORG 48 demonstrated higher growth while SAMSORG 44 produced higher seed yield and yield components at all levels of water treatment and all the varieties were not affected by drought stress at both stages. These varieties have displayed high suitability for severe drought tolerance. SAMSORG 44 had comparatively superior performance as indicated by its higher severe moisture stress tolerance attributes.
DOI: 10.17632/4jszdxsnws.1
title: Diseño de un fotómetro con luz UV de bajo costo

description: Se describe el diseño de un fotómetro con luz UV para determinar Cromo hexavalente usando la ley de Beer-Lambert
DOI: 10.17632/96y53kybj4.1
title: Automated identification and counting of predated Ephestia kuehniella (Zeller) eggs using deep learning image analysis

description: Abstract
Predation or kill rate of biological control agents is often used as a proxy to evaluate the efficacy of different species of natural enemies, and under different conditions. For generalist predators and many egg parasitoids, eggs of the Mediterranean flour moth Ephestia kuehniella (Zeller) (Lepidoptera: Pyralidae) are used as factitious prey or hosts in laboratory and field experiments, as they are widely available from mass rearings of the biological control industry. Evaluating the predation or parasitism activity of natural enemies on E. kuehniella is a valuable tool for biological control practitioners around the world. However, manual assessments are laborious and prone to error, as observations may be subjective and depend on the individual performing the task. Here, we developed an automated protocol based on the deep learning object detection algorithm YOLOv5, for the accurate estimation of predated E. kuehniella eggs by piercing-sucking generalist predators. The application of the trained deep learning model achieved high precision (0.90) and recall (0.93) in the identification of predated eggs among intact eggs in our test experiment and was more accurate and faster than two independent observers that performed manual counting under a stereo microscope based on the mean absolute percentage error metric. Furthermore, a case study is presented where the predation activity of the generalist predators Orius laevigatus, Orius majusculus, Orius minutus, Nesidiocoris tenuis, Macrolophus pygmaeus and Dicyphus errans is compared. Further applications and expansions of the protocol are discussed.
DOI: 10.17632/fz8rsr7c2k.1
title: Distributions Dataset for Fuzzy Based Fog Load Balancer

description: This dataset consists of 5 columns, namely X1, X2, X3, X4 and Y and has 3000 entries corresponding to each random variable. These random variables (X1, X2, X3 and X4) correspond to the following variables in paper: "Design and Exploration of Load Balancers for Fog Computing Using Fuzzy Logic": X1: Traffic Load X2: Delay Sensitivity X3: Energy Consumption X4: Link Saturation Y: Link Health Here, X1, X2, X3 and X4 are independent variables and Y is a dependent variable. Value of Y depends on all independent variables. These variables are mapped to Fuzzy Terms on the basis of Network Traffic Load Balancing. The fuzzy terms mapped for different scenarios in a day, are as follows: Sensor_TrafficLoad MinimumLoad Trapezoid (0.000, 0.080, 0.240, 0.330) AverageLoad Trapezoid (0.240, 0.330, 0.570, 0.660) PeakLoad Gaussian (0.500, 0.200) Sensor_DelaySenstivity NoDelay GaussianProduct (0.500, 0.200, 0.500, 0.200) AverageDelay Sigmoid (0.500, 20.000) TimeOutDelay SShape (0.000, 1.000) Sensor_EnergyConsumption LowConsumption Sigmoid (0.510, 0.204) AverageConsumption Sigmoid (0.510, 0.204) PeakConsumption SShape (0.020, 1.000) Sensor_LinkSaturation LowSaturation Ramp (0.000, 1.000) AverageSaturation Ramp (0.000, 1.000) FullSaturation SShape (0.000, 1.000) OUTPUT: LinkHealth LowQuality Ramp (0.000, 1.000) MediumQuality Ramp (0.000, 1.000) HighQuality Ramp (0.000, 1.000) This dataset is used to devise 3-level fuzzy load balancer design in the mentioned paper. This dataset consists of 3000 records, where each sub-parameter/sub-variable corresponds to 1000 records for 3-level fuzzy load balancer design. Eg: For the parameter 'Traffic Load', sub-variables are: MinimumLoad, AverageLoad and PeakLoad. So this dataset consists of 1000 records computed using the random distributions of MinimumLoad, 1000 records computed using the distributions of AverageLoad and 1000 records computed using the distributions of PeakLoad, thus resulting in a total of 3000 records for 'Traffic Load'. This division is computed to cover maximum different possible scenarios to which Network Traffic Load belongs to.
DOI: 10.17632/hwzbvmxnk6.1
title: FFT Based Multiband Spectrum Sensing in SIMO In-band Full-Duplex Cognitive Radio Networks

description: The presented file represents matlab code for FFT Based Multiband Spectrum Sensing in SIMO In-band Full-Duplex Cognitive Radio Networks. Basically the plot shows the probability of detection versus probability of false alarm with constant window lengths in time domain and frequency domain respectively. The modulation scheme used is BPSK OFDM. The far end ie. desired channels are modeled as multipath Rayleigh fading with 3 channel taps each.
DOI: 10.17632/x3cbjzf56w.3
title: Liu and Luo SEAO wtCaCO3%

description: The data file provides coordinates, depth, wtCaCO3% of the surface/coretop marine sediments mainly in the Southeast Atlantic Ocean compiled from previous literature, and sources for the data are described in the file as well.
DOI: 10.17632/y3ds55n88r.4
title: DRIVE raw data

description: These are the raw data from the DRIVE pooled shRNA screen. It contains read counts for 398 cancer cell lines screened for 7’837 genes with an average of 20 shRNAs per gene. The data are provided as a RDS file that can be read in R using the readRDS function. They are formatted as a data.frame containing a unique identifier of the individual shRNA, its sequence, the plasmid counts, the sample counts, an experiment identifier, the name of the pool and the cell line name. Plasmid counts refers to shRNA abundance in the library input, and sample counts refers to NGS counts of individual shRNAs post drop-out screen. To query and download processed data, an interactive tool is available: https://oncologynibr.shinyapps.io/drive/
DOI: 10.15468/dl.695qeb
title: Occurrence Download

description: A dataset containing 1204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus monticola Douglas ex D.Don",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1204 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009223-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5zv5txpkrb.1
title: industry 4.0 dataset (2018-2020)

description: The Industry 4.0 research & publication dataset, which was indexed by Scopus from 2018 to 2020. 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/pgxhnytds4.1
title: High-quality chromosome-level genome assembly and full-length transcriptome analysis of the pharaoh ant Monomorium pharaonis

description: Data accompanying the manuscript "High-quality chromosome-level genome assembly and full-length transcriptome analysis of the pharaoh ant Monomorium pharaonis" in GigaScience releasing of an ant genome and transcriptome as part of the Global Ant Genomic Alliance Project (GAGA). The dataset includes fem_csd_synteny_postion.tar.gz Sequences and genomic coordinates of fem, csd, and their neighbor genes in 11 ant species.
DOI: 10.17632/6wv33nbcvv.1
title: Nuclear Cataract Database for Biomedical and Machine Learning Applications

description: The dataset collected for multi-class nuclear cataract classification consists of 1437 labeled images. The images were obtained from a digital Topcon DC-3 slit-lamp camera with a resolution of 3264 x 2448 RGB; they were focused with a Topcon SL-D7 slit-lamp, a slit angle of 45º and 135º for each eye, a 6 mm x 0.5 mm aperture and maximum luminous intensity. The number of volunteers for the multi-class dataset was 68 women and 47 men, with at least three images per right and left eye. The expert ophthalmologists from the Conde Valenciana Institute from Mexico classified this dataset according to the LOCS III Protocol.
DOI: 10.17632/dp8cywvp8y.1
title: Dataset on the academic performance of students in 12 programs from a private university

description: Data were collected from students database of a private school in the south-west geopolitical zone in Nigeria. The data involves students from 12 programs in an institution.
DOI: 10.17632/xbxnfg2zfs.1
title: Multiplexed in Situ Imaging Mass Cytometry Analysis of the Human Endocrine Pancreas and Immune System in Type 1 Diabetes: Part 2

description: The interaction between the immune system and endocrine cells in the pancreas is crucial for the initiation and progression of type 1 diabetes (T1D). Imaging mass cytometry (IMC) enables multiplexed assessment of the abundance and localization of more than 30 proteins on the same tissue section at 1 µm resolution. Herein, we have developed a panel of 33 antibodies that allows for the quantification of key cell types including pancreatic exocrine cells, islet cells, immune cells, and stromal components. We employed this panel to analyze 12 pancreata obtained from donors with clinically diagnosed T1D and 6 pancreata from non-diabetic controls. In the pancreata from donors with T1D, we simultaneously visualized significant alterations in islet architecture, endocrine cell composition, and immune cell presentation. Indeed, we demonstrate the utility of IMC to investigate complex events on the cellular level that will provide new insights on the pathophysiology of T1D. The dataset here include raw data acquired from the IMC platform. FFPE sections from 18 donors were used for IMC acquisition. Image resolution is 1 μm per pixel.
DOI: 10.17632/84cr6ct6yc.1
title: Development and validation of personal agency scale

description: Adolescents exercise personal agency as they set goals, draw plans, make decisions and perform actions to form life course.  The goal of the study was to develop and validate a scale to measure personal agency in adolescence that was applicable to a collectivist culture. The current dataset contains scores of the initial 86 items intended to be used for Exploratory Factor Analysis (EFA) for item reduction and factorial analysis. Data were collected from adolescent school students aged from 14 to 17 from urban and rural setting, from the state of Kerala, India.
DOI: 10.17632/g4nzmtdpwr.1
title: Dataset DNA Methylation

description: Infinium MethylationEPIC BeadChip from Illumina The description is in the file
DOI: 10.17632/dpw4svmdr8
title: Data for Terahertz spectroscopic study of liquid-liquid phase separation of protein solutions

description: Figure 3: Terahertz time-domain spectroscopy (THz-TDS) measurement data of concentration-dependent absorption coefficient of lysozyme aqueous solution.
Figure 4: THz-TDS measurement data of concentration-dependent absorption coefficient of ovalbumin aqueous solution.
 Figure 5: Stable THz data analysis of different mixed concentration-based lysozyme and ovalbumin solutions from the Time domain waveforms and spectral amplitude.
(a) Temporal waveforms of THz waves through pure water and mixed solutions of lysozyme and ovalbumin.
(b) Fourier-transformed spectral amplitude corresponding to the measured field.
Figure 6(a) Absorption spectra obtained by THz-TDS measurement of the concentration of lysozyme 5 mg/mL + ovalbumin 5 mg/mL.
Figure 7: Absorption spectra obtained by THz-TDS measurement of concentrations of (a) lysozyme 10 mg/mL + ovalbumin 10 mg/mL, and (b) lysozyme 30 mg/mL + ovalbumin 30 mg/mL.
Figure 8: Estimated scattering cross-section of Rayleigh scattering for a droplet radius of 1.5 um.
Figure 9: Estimated Rayleigh scattering contribution to the observed absorption coefficient at a droplet volume fraction of 0.06 as a function of droplet radius.
Figure 10: Absorption spectra obtained by THz-TDS measurement of different concentrations of reference water, lysozyme 5 mg/mL + ovalbumin 5 mg/mL, lysozyme 10 mg/mL + ovalbumin 10 mg/mL, and lysozyme 30 mg/mL + ovalbumin 30 mg/mL of mixed solutions.
DOI: 10.17632/fx6whr5c23.1
title: Linguistic Diversity Research Dataset (1976-2020)

description: The linguistic diversity research and publication dataset, which was indexed by Scopus from 1976 to 2020.
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/r7bzk97hxs.1
title: BIM and Education review (Data of studied references)

description: This data set contains the articles referenced in the Web of Science corresponding to the search terms "BIM" and "Education" from 2013 to 2017. These data have been used to develop a conceptual framework for the use of BIM in university education. The documents analysed in this paper are collected. On the other hand, it indicates the documents that deal minimally with the field of education and BIM methodology and those that are excluded because they are not in the language of the search or because they are outside the scope.
DOI: 10.17632/8kzkdctdtp.1
title: Data for: Effects of Cr/Ni ratio on physical properties of Cr-Mn-Fe-Co-Ni high-entropy alloys

description: In this compilation of data, we show how the Cr/Ni ratio affects the physical properties of ten single-phase FCC CrxMn20Fe20Co20Ni40-x high-entropy alloys for 0 ≤ x ≤ 26 at.%. All the data are origin files (.opj). Here is a short description of the origin files, which are numbered according to their order of appearence in the corresponding research article and supplementary materials:
Fig02: X-Ray diffraction patterns of the alloys
Fig03: Curves obtained by differential scannning calorimetry
Fig04: Temperature dependence of the coefficients of thermal expansion
Fig05: Temperature dependence of the elastic parameters
Fig06: Thermal gravimetric analysis of the Mn20Fe20Co20Ni40 (in at.%) alloy
Fig07+09b: Results of ab-initio calculations of enthalpy differences relative to the nonmagnetic phase at 0 K, magnetic critical temperature, and spontaneous volume magnetostriction
Fig09+10+S8: Plots showing the separation distance between Shockley partials as a function of the angle between the dislocation line and the perfect Burgers vector for 14 ≤ x ≤ 26 at.%. These data allow to determine the stacking fault energy of the alloys.
Fig11: Comparison of these latter plots with those reported in the literature for Cu and Ag. 
FigS3: EDX concentration profiles of the as-cast ingots for 0 ≤ x ≤ 10 at.%
FigS4,S5: EDX concentration profiles of the as-cast ingots for 14 ≤ x ≤ 26 at.%
lattice parameters: lattice parameters of the investigated alloys
DOI: 10.17632/9mn3ptmnb2.1
title: raw data for Predicting Thermodynamic Stability of Magnesium Alloys in Machine Learning

description: Datasets for machine learning training. Original data include energies calculated by VASP, coordinates, and DeePMD-kit input files. Data are saved in .npy format.
DOI: 10.17632/6j7xtjttvc.1
title: Data for: VIDEO-BASED TOOLS TO ENHANCE NURSES’ GERIATRIC KNOWLEDGE : A DEVELOPMENT AND PILOT STUDY.

description: Quantitative data and qualitative data of research on effect of serioussoap.nl on geriatric knowledge of nurses and its usability.
DOI: 10.17632/k7442wf84b.1
title: Simultaneous Approximating and Locking Technique (SALT) Knot Instructional Video

description: An instructional video demonstrating the simultaneous approximating and locking technique (SALT) knot for close of high-tension cutaneous surgical wounds.
DOI: 10.17632/mksxpb3zjw.1
title: Digital Technology Promotes Student Physical Activity : An Empirical Analysis Based on the Use of Wearable Devices

description: Background :The physical health level of college students is not optimistic, and most of them have not reached the recommended amount of physical activity. However, a large number of studies have shown that participating in physical activity can effectively improve students' physical health.
Purpose: The study investigates the influence mechanism of wearable device use on college students' physical activity participation, promotes college students' participation in physical activity, and provides a theoretical basis for promoting the development of smart physical education in schools.
Method:A questionnaire survey was conducted on 507 Chinese college students, and descriptive statistics and correlation analysis were conducted on the collected data using SPSS 27.0.
Result: There is a positive correlation between the use of wearable devices and the intensity and cognitive level of physical exercise among college students. There is a correlation between wearable devices and the types of physical activity that college students participate in.
DOI: 10.17632/8rkbvxhhmj.1
title: Fingerprint Extraction Data of Father, Mother and Child

description: This fingerprint data is fingerprint data taken from 30 different families, where each family's fingerprints are taken, namely the father's fingerprint, the mother's fingerprint, and the child's fingerprint.