cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27139281.v1
title: PPG signals and cholesterol data.

description: Sure, here is the information translated into English:This repository contains a dataset that includes 13 patient records from the MIMIC database. Each patient is represented by a .mat file that stores PPG (Photoplethysmography) and ECG (Electrocardiogram) signals with a sampling frequency of 125 Hz.Additionally, the repository includes MATLAB scripts for signal visualization and the detection of Type 1 and Type 2 Premature Ventricular Complexes (PVCs). These scripts allow for detailed analysis of the PPG and ECG signals for each patient.Dataset StructureThe repository is composed of the following files and directories:<b>XXXm.mat Files</b>: These files contain the PPG and ECG signals of the patients. Each file in the format m.mat corresponds to a specific patient and contains signal samples obtained in a clinical setting.<b>señales_seleccionadasXXX.mat Files</b>: These files specifically contain the PPG and ECG channel signals from the m.mat files of each patient.<b>MATLAB Code (senales_ppg_ecg_visualizacion.m)</b>: A MATLAB script designed to visualize the ECG and PPG signals of each patient. This code allows loading the .mat files and displaying a segment of the signals to facilitate visual analysis. It is important to modify this line of code to select the patient to be analyzed:<pre><pre>data = load('señales_seleccionadas212.mat'); % Load the .mat file<br></pre></pre><b>MATLAB Code (cpvs12.m)</b>: Another MATLAB script that implements the detection of Type 1 and Type 2 PVCs in the PPG signal. The results of this detection are stored in a CSV file, which can be consulted later for detailed signal analysis.<b>Header Files (XXXhea.txt)</b>: These files contain the specifications for selecting the signals of each patient, allowing an understanding of the structure and available channels in the .mat files.Signal Descriptions<b>PPG (Photoplethysmography)</b>: Signals obtained using an optical sensor that measures changes in blood volume in tissues. These signals are useful for studying the pulse and other hemodynamic characteristics of patients.<b>ECG (Electrocardiogram)</b>: Electrical signals of the heart used to evaluate cardiac activity. The files in this dataset include several ECG leads that provide detailed information about heart function.I hope this translation helps. If you need further modifications or have any other requests, feel free to let me know!
DOI: 10.6084/m9.figshare.28605116.v1
title: ReportePRISMA_Figshare

description: Inteligencia artificial en la educación superior: entre la humanización y la deshumanización. Desafíos y oportunidades para un enfoque responsable. Revisión sistemát
DOI: 10.17632/3bxjzk3cr9
title: Division de la Carte.

description: -Carte topographique d’Agadir (1/50000); feuille NH-29-XV-1d: Rabat: Divisio de la cartographie (Direction de la conservation foncière et des travaux topographiques); 1976.
-Carte topographique de GHABAT ADMINE (1/50000); feuille NH-29-XV-2c: Rabat: Divisio de la cartographie (Direction de la conservation foncière et des travaux topographiques); 1983.
DOI: 10.17632/bjh96g9j6m
title: Lifetime Fitness Variation Across the Geographical Range in a Colour Polymorphic Species

description: Datasets used for the study "Lifetime Fitness Variation Across the Geographical Range in a Colour Polymorphic Species", in which we investigate life-history traits among different tawny owl populations in Europe. The breeding life span (BLS), lifetime egg production (LEP), lifetime reproductive success (LRS) and the number of years skipped between breeding attempts (NYS) differed between populations, with LEP and LRS varying across colour morphs within populations.
DOI: 10.17632/phryk6jt56
title: Light iron isotopes in high−silica granites record the fluid evolution in magmatic−hydrothermal system

description: These files present the electron microprobe analyses of plagioclase, whole-rock chemical and isotopic compositions, modeling parameters for the Zhengga leucogranites, as well as a compilation of Fe and Mg isotopes for mafic, intermediate and felsic igneous rocks worldwide.
DOI: 10.17632/w5v43by8vw
title: Data for: Data on distribution of heat transfer coefficient and profiles of velocity and turbulent characteristics behind a rib in pulsating flows

description: Raw experimental data on heat transfer from the wall are presented in the form of electric signals (voltage in V). The data were collected from 42 measurement tracks; 1 reference resistor 226 Ω in the temperature measurement circuit with a resistance thermometer UTR; 1 signal from resistance thermometer UT; 4 signals from 4 reference resistors 5 Ω in circuits of measurement elements UR 10 1 - UR 10 4. Measurement elements Ri corresponded to the following channels: - R1 – R10 – channels 32 to 23; - R11 – R26 – channels 48 to 33; - R27 – R42 – channels 16 to 1; - UT – channel 17; - UTR – channel 20; - UR 10 1 – UR 10 4 – channels 18, 19, 21, 22. Elements R1 – R42 were placed on the wall with a streamwise spacing of 9.5 mm. Voltage drop measured across the reference resistors yielded the magnitude of electric current in the respective circuits. Each file contains the data for one regime of air flow. File names specify the volumetric flow rate (Q, m3/h) and forcing frequency (f, Hz). R0i file contains signals for estimation of reference resistances of measurement elements at 23°С.
DOI: 10.6084/m9.figshare.6478148.v1
title: Russian prepositions

description: The data shows comparative tables on different sources including Russian preposition lists. The sources are Russian grammars, scientific researches and defining dictionaries.
DOI: 10.6084/m9.figshare.7195760.v1
title: Mathematica notebooks related to imaging with two skew ideal lenses

description: Mathematica notebooks containing detailed calculations of image positions for a general system of two skew ideal lenses. <br> TwoParallelLensProof.nb: Mathematica document in which the image position is calculated due to a system of two parallel non-coaxial lenses, both in cartesian and lens-imaging coordinates. <br> TwoLensProof2D.nb: Mathematica document in which the image position in two dimensions is calculated due to a system of two skew lenses, both in cartesian and lens-imaging coordinates. <br> TwoLensProof.nb: Mathematica document in which the image position in three dimensions is calculated due to a system of two skew lenses, both in cartesian and lens-imaging coordinates. <br> Mathematica documents can be viewed either in Mathematica, which requires a license, or in the Wolfram CDF player, which is freely available from the Wolfram website, currently at https://www.wolfram.com/cdf-player/ .
DOI: 10.17632/8gywzhsxcp
title: Supplementary Appendix - Efficacy and Safety of Apremilast in Patients With Moderate to Severe Plaque Psoriasis of the Scalp: Results of a Phase 3b, Multicenter, Randomized, Placebo-Controlled, Double-Blind Study
DOI: 10.17632/c4jpwxjy9r
title: Whipple shield hypervelocity impact dataset

description: A dataset of hypervelocity impact experiments against aluminium Whipple shield for simulating space debris impacts on spacecraft. The database contains 1135 experimental records for spherical aluminium projectiles impacting on aluminium Whipple shields at hypervelocity. The dataset has been compiled from more than 20 public sources for which a bibliography is provided. 

The dataset is used for deriving ballistic limit equations and evaluating their performance in https://doi.org/10.1016/j.ijimpeng.2024.104899 and https://doi.org/10.1016/j.ijimpeng.2023.104727.
DOI: 10.17632/dmkz3sfdht
title: Data for: A novel approach based on Neo4j for multi-constrained flexible job shop scheduling problem

description: This dataset contains the multi-constrained flexible job shop scheduling problem instances tested by the authors.
DOI: 10.17632/ngd7p36jbx
title: Identification of delta types critical for accurate prediction of future change in deltas

description: it includes Data tables (.doc), and simulation package (.zip) and medias of Run 19 and Run 30
DOI: 10.17632/wj93s8g5bc
title: Gendered Climate Experiences in Kenyan Pastoralist Communities.

description: When distinctions in the interaction with nature between the genders is observed a new interpretation of the relationship between nature and society is mandated. Men and women experience the effects of disasters differently, in general however, it is women who are more susceptible to greater risk and bear more significant consequences during a disaster and during the ensuring recovering period. It has been shown that the mortality rates after a disaster are higher in women while survival rates are lower. Kenya is significantly dependent on natural resources for livelihood and economic growth. Most of these activities are in the Arid and Semi- arid Lands which make up 80% of its land mass where the main source of livelihood for the dwellers is livestock production through pastoralism, small scale agriculture and tourism. Rainfall has become unpredictable and unevenly distributed adversely affecting the ecosystem causing disasters and calamities. In Kenya, and Africa in general, drought is the leading cause of natural hazards in terms of number of people affected.
Cognisant of the complex role that social structure and processes play in climate change, social analysis has gained increasing importance in emerging research. However, in the context of environmental strife and shifting livelihoods that pastoralists are confronting, recent studies have recognised that low levels of attention have been given to the intra-household and inter-household relationships and how they link to livelihood compromises and the attendant social transformations. Bearing that in mind, an analysis at the household level illuminates the domestic transformations, renegotiations, and domains that differently placed men and women are engaging in their current environment. Correspondingly, an elucidation of how these differently placed men and women are manipulating gender and larger society roles and relationships to cope with the increasingly unpredictable and unstable livelihoods will be provided. 
This study primarily relied on qualitative focus group discussions to delve into the gendered dimensions of climate adaptation, with a particular emphasis on women's coping mechanisms. Conducted across three selected study sites, these twelve genders-disaggregated focus groups provided a safe space for participants to openly discuss their experiences, perceptions, and concerns related to climate change and adaptation strategies. By separating participants by gender, the research aimed to facilitate more candid and in-depth conversations. The structured discussions encouraged participants to share detailed narratives and insights, allowing for a comprehensive exploration of the gender-specific challenges and opportunities within each community. The data also includes a quantitative demographic survey of the 113 respondents that provides insights into the whole experience of the respondents.
DOI: 10.17632/f4zxxscrkg
title: Role of Vegetation in Flash Drought using NU-WRF

description: This repository contains configuration files and ancillary data necessary to replicate the numerical simulations described in the manuscript "The Interplay of Vegetation and Land-Atmosphere Feedbacks in Flash Drought Prediction" submitted for publication to the Journal of Hydrometeorology. It includes the necessary files to set up and run the NU-WRF model as implemented in this study. Preprint available at: https://doi.org/10.31223/X5HH9N
*CLIM/: This directory contains the configuration files specific to the climatological vegetation experiment setup.
*IVAR/: This directory contains the configuration files specific to the interannually-varying vegetation experiment setup. The file structure and contents are identical to the `CLIM/` directory.
*LIS_RST_NOAHMP401_201012312330_SPINUP_40YR.nc: The initial condition file for the coupled NU-WRF/LIS simulations. It represents the spun-up land surface state after a 40-year offline LIS simulation.
*namelist.wps: The namelist file for the WRF Pre-Processing System (WPS). It defines the settings for geogrid, ungrib, and metgrid, which are used to prepare the meteorological input data for NU-WRF.
*namelist.input: The main namelist file for the NU-WRF model. It controls the model's atmospheric physics options, domain settings, and other simulation parameters.
*ldt.config.prelis: LDT (Land Data Toolkit) configuration file for pre-processing input data for LIS.
*ldt.config.postlis: LDT configuration file for post-processing LIS output.
*lis.config.coldstart: LIS configuration file for the offline LIS spin-up run.
*lis.config.wrf: LIS configuration file used to couple LIS with the NU-WRF model. It specifies the parameters and settings for the land surface model within the coupled system.
DOI: 10.6084/m9.figshare.23099057.v1
title: NMR and XRD raw data in text form.zip

description: NMR and XRD data
DOI: 10.17632/7d826s3mhf
title: Data compilation regarding the effects of grain size and temperature on the strength of the single-phase FCC CrFeNi medium entropy alloy

description: In the present article, we present a data compilation reflecting recrystallized microstructures and the corresponding mechanical properties of an equiatomic, single-phase faced-centered cubic (FCC) CrFeNi medium-entropy alloy (MEA). For the analysis, interpretation, and discussion of the data, the reader can refer to the original research article entitled “Effects of temperature on mechanical properties and deformation mechanisms of the equiatomic CrFeNi medium-entropy alloy”.
DOI: 10.17632/bcy87d4dsb
title: Raw data from: Biocompatible nanocomposite hydroxyapatite-based granules with increased specific surface area and bioresorbability for bone regenerative medicine applications

description: Hydroxyapatite (HA) granules are frequently used in orthopedics and maxillofacial surgeries to fill bone defects and stimulate the regeneration process. Optimal HA granules should have high biocompatibility, high microporosity and/or mesoporosity, and high specific surface area (SSA), which are essential for their bioabsorbability, high bioactivity (ability to form apatite layer on their surfaces) and good osseointegration with the host tissue. Commercially available HA granules that are sintered at high temperatures (≥ 900 °C) are biocompatible but show low porosity and SSA (2-5 m2/g), reduced bioactivity, poor solubility and thereby, low bioabsorbability. HA granules of high microporosity and SSA can be produced by applying low sintering temperatures (below 900 °C). Nevertheless, although HA sintered at low temperatures shows significantly higher SSA (10-60 m2/g) and improved bioabsorbability, it also exhibits high ion reactivity and cytotoxicity under in vitro conditions. The latter is due to the presence of reaction by-products. Thus, the aim of this study was to fabricate novel biomaterials in the form of granules, composed of hydroxyapatite nanopowder sintered at a high temperature (1100 °C) and a biopolymer matrix: chitosan/agarose or chitosan/β-1,3-glucan (curdlan). It was hypothesized that appropriately selected ingredients would ensure high biocompatibility and microstructural properties comparable to HA sintered at low temperatures. Synthesized granules were subjected to the evaluation of their biological, microstructural, physicochemical, and mechanical properties. 

Folder: “Physicochemical properties” contains raw data of the FTIR and thermogravimetric analysis results.
A Microsoft Word file (Microhardness test.docx) contains the results of the microhardness test. The results are expressed as Young’s modulus values (GPa) presented in tables for each sample.
A Microsoft Excel file (MIP - Porosity.csv) contains the results of porosity evaluation for each tested granule. 
Folder: “SSA” contains Microsoft Excel files with results of the total surface area measurement performed for each sample.
Folder: “Stereoscopic images” contains raw stereoscopic images of the granules.
Folder: “SEM” contains raw SEM images of tested granules.
Folder: “Ca_P” contains Microsoft Word files with calculated Ca/P atomic ratio for each sample. 
A Microsoft Excel file (Biodegradation.csv) contains the results of samples weight loss for each tested granule. 
Folder: “Bioresorption” contains raw CLSM images showing uptake of released from biomaterial nanoHA.
A Microsoft Excel file (Absorption.csv) contains the results of samples liquid absorption capacity.
Folder: “MTT” contains the raw results of three repetitions of MTT cytotoxicity assay performed after 24 hours of culture. The results of MTT test are expressed as OD values.
Folder: “Live_Dead” contains raw CLSM images of the cells on the granules after live/dead staining.
DOI: 10.17632/jyyvrrsz44
title: Unveiling Circulating Targets in Pancreatic Cancer: Insights from Proteogenomic Evidence and Clinical Cohorts

description: Pancreatic cancer (PC), characterized by the absence of effective biomarkers and therapies, remains highly fatal. Data regarding the correlations between PC risk and individual plasma proteome known for minimally invasive biomarkers, are scarce. Here, we analyzed 1,345 human plasma proteins using Proteome-Wide Association Studies, identifying 78 proteins significantly associated with PC risk. Of these, four proteins (ROR1, FN1, APOA5, and ABO) showed the most substantial causal link to PC, confirmed through Mendelian Randomization and Colocalization analyses. Data from two clinical cohorts further demonstrated that FN1 and ABO were notably overexpressed in both blood and tumor samples from PC patients, compared to healthy controls or para-tumor tissues. Additionally, elevated FN1 and ABO levels correlated with shorter median survival in patients. Multiple drugs targeting FN1 or ROR1 are available or in clinical trials. These findings suggest that plasma protein FN1 associated with PC hold potential as both prognostic biomarkers and therapeutic targets. The raw immunostaining and ELISA data from our center’s cohort have been uploaded to the Mendeley database.
DOI: 10.17632/vcv5gcgd6y
title: Longitudinal orientation of incisional biopsy specimens for improved histopathologic visualization: Supplemental Figure 1

description: Supplemental Figure 1. Clinical image of the right lower leg which exemplifies the beneficially narrow (2-3 mm) ellipse size when incisional biopsy specimens are oriented longitudinally.
DOI: 10.17632/2kyksx8hty
title: (DATASET) Generative AI tools

description: It contains data from the survey of teachers using generative AI tools.
DOI: 10.17632/3rnwb6hdkz
title: Dataset: Examining pelagic carbonate-rich sediments as an archive for authigenic uranium and molybdenum isotopes using reductive cleaning and leaching experiments

description: Dataset used for examining the utility of pelagic carbonate sediments for authigenic Mo and U isotope measurements. Concentration and isotope data are provided for reductively cleaned and uncleaned sample pairs, using different strength acids to explore different mineralogical phases of Mo and U. These were performed on a Holocene ages samples (ODP758) and mid-Cretaceous samples (GA183). All measurements were performed at ETH Zurich. See full paper for method descriptions, standard reporting and data interpretation. Concentration measurements were performed using a Thermo Element XR Mo an U concentrations are calculated using isotope dilution Mo and U isotope measurements were performed on a Thermo Neptune Plus MC-ICPMS Data from the paper are given in the file 'DataTables_Excel', and additional measurements that were not discussed in the text are given in the 'Extended supplement' file
DOI: 10.17632/bkdkc4n835
title: Guava Fruit Disease Dataset

description: Guava (Psidium guajava) is a vital crop in Bangladesh and South Asia. It is rich in vitamin C, fiber, and other nutrients. However, guava production is declining due to disease. Early detection of infections is essential to protect the harvest. With the rise of expert systems, automatic disease detection can mitigate these losses. This dataset focuses on guava fruit, providing images categorized into three classes: Anthracnose, Fruit Flies, and Healthy fruits. The images, collected from orchards in Rajshahi and Pabna, Bangladesh, were captured in July when fruits were ripening and were most prone to disease. The images were then verified by a plant pathologist. The dataset is intended to support research in image processing and machine learning, aiming to develop systems for early disease detection. Such systems can significantly reduce economic losses and improve guava yields.

The dataset includes 473 images of guava fruits. The original photos vary in size and format. Each was preprocessed to 512 x 512 pixels for consistency. 

Image Information:
- Dimensions: 512 x 512 pixels
- Color Mode: RGB
- Format: PNG
- File Size: 300 - 500 KB

The dataset covers three main classes: Anthracnose, Fruit Flies, and Healthy fruits. These are common conditions in guava farming. Images underwent preprocessing steps such as unsharp masking and CLAHE. The preprocessed images are augmented to increase in number to 3,784 image data. The following tree shows the distribution of images across three subsets:

Dataset
│
├── train (2,647 images)
│ ├── Anthracnose
│ ├── Fruit Flies
│ └── Healthy fruits
│
├── test (382 images)
│ ├── Anthracnose
│ ├── Fruit Flies
│ └── Healthy fruits
│
└── val (775 images)
 ├── Anthracnose
 ├── Fruit Flies
 └── Healthy fruits
DOI: 10.17632/dt542359j8
title: Olive tree root exudates metabolic profiling

description: HPLC-QTOF data from olive trees root exudates under treatment with different resistance inducers and infected with Verticillium dahliae
DOI: 10.17632/r6nn5s37tp
title: Covid-19 Online Articles Dataset

description: This dataset is a collection of articles about Covid-19 published online from May 2020 to September 2020 and stored as a CSV file. The primary providers of these articles are 10news.com, cnn.com, and foxla.com. The dataset contains two columns (text and sentiment). The text column contains text from the articles to which a label applies. The sentiment column contains either the value 1 (positive class) for text with positive sentiment or the value 0 (negative class) for text with negative sentiment. The model used will be published in one of the journals later and will be found on my profile with the title: 'Sentiment Analysis of Covid-19 Articles; The Impact of Bidirectional Layer on Long Short-Term Memory (LSTM).'