cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6ghdz52pd7.5
title: Segmented Dataset Based on YOLOv7 for Drone vs. Bird Identification for Deep and Machine Learning Algorithms

description: Unmanned aerial vehicles (UAVs) have become increasingly popular in recent years for both commercial and recreational purposes. Regrettably, the security of people and infrastructure is also clearly threatened by this increased demand. To address the current security challenge, much research has been carried out and several innovations have been made. Many faults still exist, however, including type or range detection failures and the mistaken identification of other airborne objects (for example, birds). A standard dataset that contains photos of drones and birds and on which the model might be trained for greater accuracy is needed to conduct experiments in this field. The supplied dataset is crucial since it will help train the model, giving it the ability to learn more accurately and make better decisions. The dataset that is being presented is comprised of a diverse range of images of birds and drones in motion. Pexel website's images and videos have been used to construct the dataset. Images were obtained from the frames of the recordings that were acquired, after which they were segmented and augmented with a range of circumstances. This would improve the machine-learning model's detection accuracy while increasing dataset training. The dataset has been formatted according to the YOLOv7 PyTorch specification. The test, train, and valid folders are contained within the given dataset. These folders each feature a plaintext file that corresponds to an associated image. Relevant metadata regarding the discovered object is described in the plaintext file. Images and labels are the two subfolders that constitute the folders. The collection consists of 20,925 images of birds and drones. The images have a 640 x 640 pixel resolution and are stored in JPEG format.
DOI: 10.17632/ffx6nd5zyb.1
title: Efficacy and Safety of Ruxolitinib Cream for the Treatment of Atopic Dermatitis: Results From Two Phase 3, Randomized, Double-Blind Studies

description: Supplemental data for an article published in the Journal of the American Academy of Dermatology
DOI: 10.17632/gt38hg2hj4.1
title: Reallocation and Productivity in Resource-Rich Economies

description: Replication Package for “Reallocation and Productivity in Resource-Rich Economies,” by Rodrigo Heresi.
DOI: 10.17632/s9bfhswzjb.1
title: Eye Disease Image Dataset

description: 1. Worldwide, eye ailments are recognized as significant contributors to nonfatal disabling conditions. In Bangladesh, 1.5% of adults suffer from blindness, while 21.6% experience low vision. Therefore, eye disease detection is crucial for preserving vision, preventing blindness, and maintaining overall health. Early detection allows for prompt intervention and treatment, preventing irreversible damage and preserving quality of life. By analyzing the dataset, researchers will be able to identify trends, develop algorithms for diagnosis, assess treatment effectiveness, and inform preventive measures.

2. Currently, computer vision methods show great promise in carrying out classification and detection tasks of this nature.

3. To develop computer vision-based algorithms, an extensive eye disease dataset is presented containing original and augmented datasets of a variety of eye diseases such as Retinitis Pigmentosa, Retinal Detachment, Pterygium, Myopia, Macular Scar, Glaucoma, Disc Edema, Diabetic Retinopathy, Central Serous Chorioretinopathy, and Healthy eye image. The classifications of this dataset are done with the help of a domain expert from a healthcare institute.

4. A total of 5335 images of healthy and affected eye images were collected from Anwara Hamida Eye Hospital in Faridpur and BNS Zahrul Haque Eye Hospital in Faridpur district with the help of the hospital authorities. Then from these original images, a total of 16242 augmented images are produced by using Rotation, Width shifting, Height shifting, Translation, Flipping, and Zooming techniques to increase the number of data.
DOI: 10.17632/46htwnp833.5
title: Mango DMC and NIR spectra

description: These datasets contain Near-infrared (NIR) absorbance spectra of the wavelength range 309-149 nm of mango mesocarp with corresponding Dry Matter Content (DMC) values. 

The file "MangoDMC_NIR_Data_v3.csv" contains data as used in the publication "Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content" (Postharvest Biology and Technology, 2020, 168:111202; https://www.sciencedirect.com/science/article/pii/S0925521420301629), with addition of data from an additional harvest season, as used in the publication "Evaluation of 1D Convolutional Neural Network in Estimation of Mango Dry Matter Content" (Spectrochimica Acta Part A 2024 311: 124003; https://www.sciencedirect.com/science/article/pii/S1386142524001690). This file is as presented in version 3 of this data repository.

The current version (4) has an additional file ".csv". This file augments the data of version 3 with data from additional instruments and seasons as used in the submitted thesis of Jeremy Walsh, 2024, Central Queensland University, "Deep Learning in Estimation of Fruit Attributes Using Near Infrared Spectroscopy".
DOI: 10.17632/jyf6xdprsr.1
title: Data for: A CROSS-CULTURAL ANALYSIS OF HOW INDIVIDUALISM AND COLLECTIVISM IMPACT COLLABORATIVE CONSUMPTION
DOI: 10.17632/kjw8v3wdh4.1
title: The Association Between Renal Desaturation Measured Using NIRS and Postoperative AKI

description: Systematic review; 18 articles
DOI: 10.17632/zyd7dcf9dw.2
title: Experimental dataset from oyom-abang wells feb 2022

description: The data collected in this study include the geographical position of the various wells in the study area (which is Oyom-Abang in Yaoundé-Cameroun), the temperature of each well and the depth of each well. The measured data obtained are all presented in the excel file. The symbol C indicates a covered well and NC an uncovered well.
DOI: 10.17632/fm996rrfyz.3
title: Long-term discharges, water levels, salinity concentrations, and precipitation in the Mekong River basin

description: Hydropower dams have been increasingly and planned in the Mekong River basin, and questions about the impacts of the largest hdyropower dams in the Lancang cascade remain largely unknown. To quantify the impacts of existing hydropower dams in the Mekong River basin on flow regimes on the lower Mekong River and associated impacts on salinity intrusion in the Vietnamese Mekong Delta, we collected and analyzed long-term observed discharges, water levels, salinity concentrations, and precipitation along the entire lower Mekong River, from Chiang Saen, Thailand to the Vietnamese Mekong Delta. Then, we applied various hydrological indicator and trend test methods to interpret the time series data. Discharges and water levels are available over 36 years (1980-2015) at Chiang Saen (Thailand), Kratie (Cambodia), Tan Chau, Chau Doc, and My Thuan (Vietnam), and salinity concentrations are available during the period 1990-2016 at Tra Vinh and Cau Quan in the Vietnamese Mekong Delta. These data were provided by the Vietnamese National Hydro-meteorological Data Center and Mekong River Commission. Annual precipitation at seven rain gauges in the Mekong River basin (Lincang, Simao, Lancang, Jinhong, Chiang Saen, Pakse, and Nong Khai) were collected over the period 1954-2015 for the analysis.
DOI: 10.17632/nzn5xj5ytt.2
title: Data on ability of unground and ultrafine palm oil fuel ash in reducing mortar bar expansion due to alkali-silica reaction.

description: Data from SEM shows the surface structure of the unground and ultrafine POFA. Unground POFA surface structure is more porous compared to ultrafine POFA, where almost no porous found on the ultrafine POFA surface structure. Expansion graph shows that expansion of mortar bar due to the alkali-silica reaction (ASR). Mortar bar expansion which is more than 0.2% considered as highly reactive and below 0.1% considered as non-reactive. For unground POFA, as 40%-50% POFA replacement has the ability to reduce the mortar bar expansion below 0.1%. Compare to ultrafine POFA, mortar bar expansion can be reduced below 0.1% by replacement minimum 20%.
DOI: 10.15468/dl.x4g62f
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Mexico, Guatemala, El Salvador, Honduras, Nicaragua, Panama, Costa Rica, Belize)",
 "OccurrenceStatus is Present",
 "TaxonKey is Loxogramme mexicana (Fée) C.Chr."
 ]
}

 The dataset includes 240 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009180-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/t52ncv32md.1
title: FISCAL SUSTAINABILITY AND FISCAL FATIGUE: EMPIRICAL EVIDENCE FROM LESOTHO

description: The data was used for a study that assessed fiscal policy sustainability and fiscal fatigue in Lesotho. Mainly, the study aims to investigate how primary fiscal balance responds to the rising debt-to-GDP ratio. Additionally, the study also seeks to examine the extent of Lesotho's fiscal fatigue. The study employs annual time series data over 1988-2020 to estimate fiscal reaction function using the ARDL co-integrating technique to capture the response of primary balance to debt ratio.
DOI: 10.17632/ytc64xwcr5.1
title: GraphIAST: A graphical user interface software for Ideal Adsorption Solution Theory (IAST) calculations

description: Industrial exhaust gases have a strong environmental impact, including on global warming. Carbon dioxide (CO_2) is a prominent example of such an exhaust gas. Therefore, CO2 capture and storage in industrial processes is becoming increasingly important. Preferably, these emitted gases are separated before their release into the environment. Such applications require selective gas separation to isolate the harmful gases or to allow recycling of industrially relevant gases. Porous materials are promising candidates to achieve gas separation, since their large surface area enables them to adsorb large quantities while their selectivity can be tuned by controlling their chemical composition. Modelling adsorption behavior and calculating corresponding selectivities in multicomponent gas mixtures of such porous materials, which is essential to quantify their gas separation performance, can be achieved through the Ideal Adsorption Solution Theory (IAST), which can be challenging to perform. The current available softwares for IAST calculations demand programming knowledge that not every materials scientist has or has access to, limiting the development of new porous materials for gas separation purposes. In this paper, we present a simple, user-friendly program for IAST loading and selectivity predictions for binary gas mixtures based on the Python module pyIAST. We have developed a graphical user interface resembling commonly known software and made three-dimensional selectivity predictions easily accessible within just a few clicks. The input and output data structure relies on the widely used *.csv format and isotherm data can be fitted with various established models. Therefore, our software provides a platform for IAST calculations for non-programming researchers, which is expected to enable more materials scientists to screen their porous materials for desired gas separation properties.
DOI: 10.17632/scg6p9jxjk.1
title: FITEVT: A FORTRAN program for arrival-time analysis of nuclear-decay events

description: FITEVT is a FORTRAN program designed to analyze recorded arrival times of nuclear-decay events affected by dead-time. The primary goal of the program is precise and accurate determination of half-lives. Its method involves imposition of a known sufficiently long extending dead-time to the recorded event sequence, so that the original dead-time effects are completely obliterated and the remaining live-times of the survived events are known exactly. Upon completion of the analysis, the arrival-time spectrum and the live-time spectrum are predicted and compared to those constructed from the survived events.
DOI: 10.17632/7b23hvzv79
title: Journal of Methodology of Social Sciences and Humanities; No.89

description: Study of the relationship between philosophy, philosophy of social sciences and humanities, methodology and research method; 
 The role of philosophy and methodology of social sciences and humanities in the quantitative and qualitative improvement of the social sciences and humanities;
 Comparative study of philosophy and methodology of social sciences and humanities and natural sciences;
 Study of the evolution of philosophy and methodology of social sciences and humanities;
 Comparative examination of quantitative and qualitative research methods;
 Philosophical analysis of concepts used in the social sciences and humanities;
 The study of the philosophical and theological foundations of the production of religious and indigenous social sciences and humanities;
 Methodology of the production of religious and indigenous social sciences and humanities;
 Methodology of using religious texts in social sciences and humanities and social sciences;
 Methodology of Muslim scholars in social studies;
 The deficiencies of the social sciences and humanities in the field of goals, foundations, methods and achievements;
 Philosophical and methodological assessment of studies in the field of humanities and social sciences;
 Philosophical and methodological assessment of studies in the field of Islamic humanities and social sciences;
 Philosophical and methodological assessment of macro policies of the country in the scientific, economic, political, social and cultural fields

To let individual researchers and libraries have access to the most recent research findings in the field, the journal allows open-
DOI: 10.5281/zenodo.14252133
title: Raw IMC files for Spatial subsetting enables integrative modeling of oral squamous cell carcinoma multiplex imaging data.

description: Raw MCD files for the Stanford cohort of oral squamous cell carcinoma patients in this publication:

Spatial subsetting enables integrative modeling of oral squamous cell carcinoma multiplex imaging data (DOI: 10.1016/j.isci.2023.108486).
DOI: 10.5281/zenodo.14252134
title: Raw IMC files for Spatial subsetting enables integrative modeling of oral squamous cell carcinoma multiplex imaging data.

description: Raw MCD files for the Stanford cohort of oral squamous cell carcinoma patients in this publication:

Spatial subsetting enables integrative modeling of oral squamous cell carcinoma multiplex imaging data (DOI: 10.1016/j.isci.2023.108486).
DOI: 10.17632/yhyzmp8rtb.2
title: A dataset of Visible – Short Wave InfraRed reflectance spectra collected on pre-cooked pasta products

description: The “Pasta_dataset.mat” is a MATLAB data file containing a DataSet Object (DSO), the “Precooked_pasta” including the reflectance spectra (Interval wavelegth range: 350-2500 nm) collected for each sample. In the Row Labels section are reported 5 class sets: i) sample_ID: identification labels of each block of 50 measurements, ii) dry_weight_content_%: labels of the dry weight content measured on pasta product samples (42.8%, 46.7% and 47.5%), iii) iii) pasta_type_&_phy_con: labels of the pasta product type referring to the physical condition (“Mezze Penne (frozen)”, “Pennette 72 (frozen)”, “Mezze Penne (thawed)” and “Pennette 72 (thawed)”), iv) Phy_con: labels of the pasta products physical condition (“Frozen pasta” and “Thawed pasta”) and v) Pasta_type: labels of the pasta product type (“Mezze Penne” and “Pennette 72”). Data are also provided in .csv format (“Precooked_pasta.csv”).
DOI: 10.17632/tcmmj4t6f4.1
title: Hourly electricity load (Panama case study)

description: The data is available in hourly records from January 2015 until June 2020. The data composition is the following: 1. Historical electricity load, available on daily post-dispatch reports, from the grid operator (CND). 2. Historical weekly forecasts available on weekly pre-dispatch reports, both from CND. 3. Calendar information related to school periods, from Panama's Ministery of Education. 4. Calendar information related to holidays, from "When on Earth?" website. 5. Weather variables, such as temperature, relative humidity, precipitation, and wind speed, for three main cities in Panama, from Earthdata.
DOI: 10.17632/8x62ntvrg7.2
title: A dataset for fault detection and diagnosis of an air handling unit from a real industrial facility

description: This dataset was collected for the purpose of applying fault detection and diagnosis (FDD) techniques to real data from an industrial facility. The data for an air handling unit (AHU) is extracted from a building management system (BMS) and aligned with the Project Haystack naming convention. This dataset differs from other publicly available datasets in three main ways. Firstly, the dataset does not contain fault detection ground truth. The lack of labelled datasets in the industrial setting is a significant limitation to the application of FDD techniques found in the literature. Secondly, the granularity of this dataset is much less than other publicly available datasets. Due to data storage constraints, data is recorded at 15-min intervals rather than at 1-min or 5-min intervals. Thirdly, the dataset contains a myriad of data issues. For example, there are missing features, missing time intervals, and inaccurate data. Therefore, we hope this dataset will encourage the development of robust FDD techniques that are more suitable for real world applications.
DOI: 10.17632/zn77xfkyzw.1
title: Raw data repository of 'EXO1 protects BRCA1-deficient cells against toxic DNA lesions'

description: All raw data included in figures and uncropped Western blots of the manuscript 'EXO1 protects BRCA1-deficient cells against toxic DNA lesions'.
DOI: 10.15468/dl.hgcfr4
title: Occurrence Download

description: A dataset containing 678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea rubens Sarg.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 678 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009181-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mcsypbk6nz.2
title: JSLE and healthy control immune phenotype
DOI: 10.17632/7k697pzbdc.1
title: Innovation and ESG Commitments in China’s Corporate Landscape: A Comprehensive Analysis of Governance and Diversification Strategies

description: This data set presents the link between corporate ESG commitments and innovation tendencies in China, analyzing data from Bloomberg's database of over 5,102 companies. We investigate whether ESG commitments can indicate a company's inclination toward Innovation. Using a quantitative approach rooted in a positivist framework, we harness Bayesian Linear Regression and Neural Networks to identify patterns. Preliminary results show that companies with firm ESG commitments, particularly those emphasizing environmental actions, exhibit outstanding innovative capabilities.
DOI: 10.17632/zy765zb5zy.1
title: Effects of Code-Switching on Students’ Learning and  Motivation in Online Class Discourse: Inputs for  Language Planning

description: In the inclusive context of education, learners may have a challenging mechanism that affects the way that teachers teach, manage, and supervise the academic environment; one should be adept and critical of the needs and learning outcomes expected in a deliberative discourse online. The ultimate goal of education is to provide students with learning and earn a reputation for their future careers. Herein, the study aimed to determine and investigate the effects of code-switching on students’ learning and motivation to address the deteriorating competencies; research through descriptive-exploratory as design; and thematic analysis to interpret the responses. This study is supported by the Cycle of Language Learning encapsulated based on the theory of the Common Underlying Proficiency (CUP) by J. Cummins. Here there shall be no single language effective, but rather languages that require flexibility for grounded discourse. Inevitably, the use of superior language will guide them in learning and cultivation. Findings showed that the preferred languages or Media of Instruction (MOI) are Filipino and English for non-linguistic subjects that obtained 64.86% appraisal, code-switching emerged to have a positive implication on learning, motivation, and discourse; a more comprehensible than a foreign language. Indeed, code-switching is a favorable alternate language or a method of teaching for a culturally-connected discourse crucial in teaching in the new normal education.
DOI: 10.17632/mbv3bx847g.1
title: Dataset on broadband Electrochemical Impedance Spectroscopy of Lithium-Ion Batteries for Different Values of the State of Charge

description: Electrochemical impedance spectroscopy (EIS) on rechargeable lithium-Ion batteries. 
The EIS were measured on three brand new Samsung cylindrical  ICR18650-26J  lithium-Ion batteries at SoC 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, and 10%.  The measurements were repeated six times for each battery. Measurements on other batteries are going to be added when available.
Please note that the measurements in the present dataset are NOT included in the previous (linked) dataset from the same authors

All EIS spectrum was computed measuring impedance at frequencies  [ 0.05, 0.1, 0.2, 0.4, 1, 2, 4, 10, 20, 40, 100, 200, 400, 1000] Hz.  
Impedance values are in the format:  Re{Z}+Im{Z}j

IMPEDANCE.CSV FILE
------------------------

MEASURE_ID: the unique identification code of each EIS measurement 
SOC: state of charge of the battery
BATTERY_ID: the unique identification code of the battery 
FREQUENCY_ID: frequency id. Lookup into the frequencies.csv file to get the value in Hertz
IMPEDANCE_VALUE: measured complex impedance value in Ohm in the format:  (Re{Z}+Im{Z}j)

FREQUENCIES.CSV FILE
---------------------------

FREQUENCY_ID: frequency identification code
FREQUENCY_VALUE: frequency value in Hertz
DOI: 10.17632/hz6ptn66d6.1
title: Data for: Creep damage assessment of ex-service 12 % Cr power plant steel using digital image correlation and quantitative microstructural evaluation
DOI: 10.15468/dl.9raq9n
title: Occurrence Download

description: A dataset containing 36668265 species occurrences available in GBIF matching the query:
{
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 36668265 records from 4480 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009176-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.