cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26200007.v3
title: Single-Atom Alloy Dataset for Machine Learning

description: OverviewThis dataset, contained within <code>Database.csv</code>, is a comprehensive collection tailored for machine learning applications in the field of catalysis and materials science, focusing on single-atom alloys. It encompasses a wide array of data with 10,950 entries, each featuring 85 intrinsic descriptors alongside novel information on the predicted C-H dissociation energy barriers and reaction rates. These intrinsic descriptors include a variety of element and surface properties extracted from renowned databases like the Materials Project and Pymatgen, as well as surface structural features and characteristics derived through expert knowledge.Intrinsic DescriptorsThe 85 intrinsic descriptors provided in this dataset offer a detailed insight into the properties of single-atom alloys. These descriptors cover:<b>Element Properties:</b> Extracted from the Materials Project and Pymatgen databases, these properties include atomic size, electronegativity, and other elemental characteristics critical for the study of material properties.<b>Surface Properties:</b> Features related to the surface characteristics of the alloys, which play a significant role in their catalytic behavior and interaction with reactants.<b>Surface Structural Features:</b> Detailed information on the structural aspects of the alloy surfaces, which can influence the material's catalytic activity and stability.<b>Expert-Derived Features:</b> A set of features developed through expert knowledge, combining various data points to form comprehensive descriptors for machine learning applications.Predicted Properties<b>C-H Dissociation Energy Barrier:</b> A key metric for evaluating the catalytic efficiency of single-atom alloys, particularly in processes involving hydrocarbons.<b>Reaction Rates:</b> Provides valuable insights into the kinetics of reactions facilitated by single-atom alloys, crucial for the development and optimization of catalytic processes.
DOI: 10.6084/m9.figshare.28494848.v1
title: Genome annotation of Rhinogobio nasutus

description: Genome annotation of Rhinogobio nasutus
DOI: 10.17632/mpgxyvhxbt
title: Research data supporting "Mobility and fate of antimony(V) and secondary iron (oxyhydr)oxides formation during ferrihydrite organominerals transformation"

description: This dataset "Research Data Tables" containing the original data of all the figures in the submitted article entitled "Mobility and fate of antimony(V) and secondary iron (oxyhydr)oxides formation during ferrihydrite organominerals transformation" for Geochimica et Cosmochimica Acta.
DOI: 10.17632/wztyssps73
title: Dataset for PM10 Reanalysis and Forecast Post-Processing in Morocco Using U-Net

description: This repository contains datasets used to develop a U-Net-based deep learning model for post-processing PM10 forecasts in Morocco. The data includes CAMS reanalysis and forecast data.
DOI: 10.17632/3mdjhvmcjp
title: Altered nucleocytoplasmic export of adenosine (A)-rich circRNAs by PABPC1 contributes to neuronal function

description: Detailed description of this data can be accessed in Cao et al. Altered nucleocytoplasmic export of adenosine (A)-rich circRNAs by PABPC1 contributes to neuronal function.
DOI: 10.6084/m9.figshare.14241854.v1
title: Global Available Soil Phosphorus Database

description: Raw, filtered and processed data for global soil Olsen P estimates. Code for GIS filtering and R modelling is also included along with a tif file of the global Olsen P concentrations. Please note that the tif file cannot be opened in a picture viewer. Instead it must be opend in GIS software like ArcGIS
DOI: 10.15468/dl.nw5r3n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.9096 1.1987,44.9648 1.2321,44.9648 1.8496,35.9648 1.8496,35.9648 -7.1504,40.3029 -7.1504,40.4263 -6.8134,40.0733 -6.4249,39.9535 -5.9102,40.3587 -5.2718,40.3515 -4.7573,40.0702 -4.4392,40.3811 -3.7186,40.7402 -3.0348,41.8195 -2.1723,43.8399 0.2902,44.9096 1.1987))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013005-250525065834625/datasets/export for details.
DOI: 10.17632/64ffgx7rgx
title: Accuracy of Medicaid Physician Directories of Dermatologists Providing Phototherapy - Supplemental Table

description: Supplemental Table Footnotes: Accuracy of Medicaid Physician Directories by state. States marked with an asterisk (*) have implemented Medicaid expansion. The accuracy of directories was calculated by dividing the number of dermatologists accepting Medicaid (verified by call) by the number of dermatologists appearing in the directory. Chi-square test does not show significant differences based on Medicaid expansion (p=0.27).
DOI: 10.17632/kmwhj7y3vg
title: The Role of Environmental Commitment and Psychological Well-being in the Relationship between Spirituality, Environmental Attitude and Positive Youth Development

description: The goal of this study was to shed further light into the dynamics of relationship between spirituality and positive youth development. We examined the role of environmental commitment and psychological well-being. SEM analysis showed that spirituality has significant effect on environmental commitment and psychological well-being and both these could mediate effect of spirituality on positive youth development.
DOI: 10.17632/6jb2f789tp
title: Survival of rib fractured calves

description: This data is survival information of normal and rib fractured calves delivered from Holstein dams in Japan. The data includes ID of calves, farmers, symptoms of calves, breeds, birth date, treated date, traded date, died date, survival days, status, and group.
DOI: 10.17632/p87bgtdmn8
title: Replication of "Do Intermediaries Improve GSE Lending? Evidence from Proprietary GSE Data"

description: This is a replication packet for "Do Intermediaries Improve GSE Lending? Evidence from Proprietary GSE Data" published in the Journal of Financial Economics. See README for further details.
DOI: 10.6084/m9.figshare.24864678.v1
title: Genome assemblies and annotations of Gossypium barbadense

description: 12 <i>do novo</i> assemblies and annotation file and 3 publicly assemblies re-annotation file
DOI: 10.17632/hm4v98bzwf
title: Edge View SNDlib Database formatted for VNE_CRS

description: 5G technologies have enabled new applications on a heterogeneous and distributed infrastructure edge which unifies hardware, network and software aimed at digital enabling. Based on the requirements of Industry 4.0, this infrastructure is developed using the cloud and fog computing sharing model, which should meet the needs of service level agreements in a convenient and optimized way, requiring an orchestration mechanism for the dynamic resource allocation. Among these mechanisms, virtual networks embedding (VNE) and dynamic resource management (DRM) have shown a way to define where and how edge technology should be used. This paper proposes a resource allocation algorithm, VNE_CRS, which uses an artificial intelligence technique called reinforcement learning to orchestrate multiple domains, benefiting from its characteristic of considering the whole problem, end-to-end, using different aspects of 5G Quality of Service Indicator (5QIs). Experiments were carried out in simulation comparing VNE_CRS with state-of-the-art algorithms for the multi domains Edge environment. Results have shown that the usage of reinforcement learning techniques to VNE resource allocation has shown performance gains. It can not only simplify the VNE architecture but also act as a full orchestration system that aims to the strategic long run results of whole infrastructure usage.
DOI: 10.6084/m9.figshare.c.3665833_d3.v1
title: Additional file 7: of Genome-wide association analysis of seedling traits in diverse Sorghum germplasm under thermal stress

description: List of qRT-PCR primers used in expression analysis of the selected genes in this study. (XLSX 9Â kb)
DOI: 10.17632/73h3d8sdhc
title: Simulated time-series InSAR data depicting coseismic deformation 

description: This dataset contains the input, output data, and related codes used to train and test the autoencoder-based deep learning model for extracting coseismic deformation from InSAR interferograms. 
The dataset includes a total of 28800 samples, each consisting of 9 two-dimensional interferometric synthetic aperture radar (InSAR) images. The images were generated using Matlab software and simulated the characteristics of InSAR interferograms, including the effects of atmospheric and topographic interference.
The dataset is organized into two folders: 'Training&Testing' and 'Prediction'. The 'Training&Testing' contains three training sets of 14400,9600,4800 samples and corresponding testing sets. The 'Prediction' contains real-world data for model validation. Each folder includes the corresponding input, output data, and codes.
The input data are the time-series interferograms, which are saved as .mat files. The dataset also includes a README file with detailed information on how to use the data and reproduce the experiments.
This dataset can be used to train and evaluate the deep learning models for coseismic deformation extraction from InSAR interferograms. The dataset is made publicly available on Mendeley Data and can be accessed at 'DOI: 10.17632/73h3d8sdhc.1'.
DOI: 10.17632/x7bvzv6cvr
title: Dataset of Breast mammography images with Masses

description: The dataset combining four breast density categories with breast mass labeled benign or malignant, there are 8 categories in our classification task. The eight categories are: (1) The category of breast density is 1 and breast mass is benign (Density1+Benign) (2) The category of breast density is 1 and breast mass is malignant (Density1+Malignant) (3) The category of breast density is 2 and breast mass is benign (Density2+Benign) (4) The category of breast density is 2 and breast mass is malignant (Density2+Malignant (5) The category of breast density is 3 and breast mass is benign (Density3+Benign) (6) The category of breast density is 3 and breast mass is malignant (Density3+Malignant) (7) The category of breast density is 4 and breast mass is benign (Density4+Benign) (8) The category of breast density is 4 and breast mass is malignant (Density4+Malignant). In addition, the data contains images before and after data augmentation, and the image matrix was 224 x 224 or 227 x 227.
DOI: 10.6084/m9.figshare.15025296.v6
title: Desmodus rotundus Occurrence Record Database

description: The common vampire bat (<i>Desmodus rotundus</i>) is a hematophagous bat species found across the North, Central, and South American continents. <i>Desmodus rotundus </i>is one of the only tree mammal species exclusively having a sanguivorous diet (i.e., blood). The species has a large distributional range and predates on a large range of vertebrate species. <i>Desmodus rotundus</i> is a know reservoir for the rabies virus and contributes to the continued spread of this pathogen across Latin America. Nevertheless, little is known about the historical distribuion of <i>D. rotundus</i> across it range. Historical occurrence data are critical for the assessment of past and current distributions for this species, and is necessary for a plethora of other ecological, biogeographic, and epidemiological studies. This is a dataset of <i>D. rotundus </i>historical occurrence including &gt;37,000 locality reports across the Americas to facilitate spatiotemporal studies of the species.<br>Data and metadata definitions. The following table provides standardized definitions of each occurrence metadata based on the the Darwin Core Archive format. Each piece of metadata for each occurrence is organized and recorded under the listed column headers.<br>Validation Code: This file contains code for usage and cleaning of the <i>Desmodus rotundus </i>record database. This code was also used for the Technical Validation process of the final <i>D. rotunudus</i> dataset.
DOI: 10.17632/2vzzkmsbvr
title: Ultraviolet-induced Fluorescence Dermoscopy Aids in Distinguishing Scarring and Non-scarring Alopecia

description: Supplementary Figures
DOI: 10.26066/rds.1972735
title: Weather station data – precipitation and temperature – at Pelrithang School in Gelephu, Bhutan (2014-2019)

description: As part of climate change impact monitoring program on biodiversity, Ugyen Wangchuck Institute for Conservation and Environment Research (UWICER) has initiated HEROES program in 2015. 17 schools covering different altitudinal gradient and geographic region were selected as monitoring sites. In each school, weather station was installed that logs weather data such as temperature, precipitation, solar radiation, soil moisture, wind speed and wind direction every 10 minutes. Also, at the same location, the project monitors and records phenological events and its timing such as budburst, flowering and fruiting on an yearly basis. This dataset consists of daily and monthly temperature and precipitation data for 2015-2020 period derived from weather station data collected at 10 minute interval at Pelrithang School, Gelephu, Bhutan.
DOI: 10.5281/zenodo.18453158
title: SOLIQ MA'MURCHILIGI SAMARADORLIGINI OSHIRISH ORQALI YASHIRIN IQTISODIYOTGA QARSHI KURASH MEXANIZMLARI

description: Ushbu maqolada soliq ma’murchiligi samaradorligini oshirish orqali yashirin iqtisodiyotga qarshi kurashish mexanizmlari ilmiy jihatdan tahlil qilinadi. Tadqiqotda yashirin iqtisodiyotning shakllanishiga ta’sir etuvchi institutsional va ma’muriy omillar aniqlanib, soliq tizimini raqamlashtirish, riskga asoslangan soliq nazorati va davlat axborot tizimlari integratsiyasining ahamiyati asoslab beriladi. Shuningdek, soliq to‘lovchilarning xulq-atvoriga ta’sir etuvchi rag‘batlantiruvchi mexanizmlar va fiskal ishonchni mustahkamlashning yashirin iqtisodiyot ko‘lamini qisqartirishdagi o‘rni yoritiladi. Tadqiqot natijalari soliq ma’murchiligini takomillashtirish orqali byudjet daromadlarini oshirish va iqtisodiy faoliyat shaffofligini ta’minlash bo‘yicha amaliy tavsiyalar ishlab chiqishga xizmat qiladi.
DOI: 10.5281/zenodo.18453159
title: SOLIQ MA'MURCHILIGI SAMARADORLIGINI OSHIRISH ORQALI YASHIRIN IQTISODIYOTGA QARSHI KURASH MEXANIZMLARI

description: Ushbu maqolada soliq ma’murchiligi samaradorligini oshirish orqali yashirin iqtisodiyotga qarshi kurashish mexanizmlari ilmiy jihatdan tahlil qilinadi. Tadqiqotda yashirin iqtisodiyotning shakllanishiga ta’sir etuvchi institutsional va ma’muriy omillar aniqlanib, soliq tizimini raqamlashtirish, riskga asoslangan soliq nazorati va davlat axborot tizimlari integratsiyasining ahamiyati asoslab beriladi. Shuningdek, soliq to‘lovchilarning xulq-atvoriga ta’sir etuvchi rag‘batlantiruvchi mexanizmlar va fiskal ishonchni mustahkamlashning yashirin iqtisodiyot ko‘lamini qisqartirishdagi o‘rni yoritiladi. Tadqiqot natijalari soliq ma’murchiligini takomillashtirish orqali byudjet daromadlarini oshirish va iqtisodiy faoliyat shaffofligini ta’minlash bo‘yicha amaliy tavsiyalar ishlab chiqishga xizmat qiladi.
DOI: 10.26066/rds.1972718
title: Weather station data – precipitation and temperature – at Khasadrapchu School in Thimphu, Bhutan (2015-2020)

description: As part of climate change impact monitoring program on biodiversity, Ugyen Wangchuck Institute for Conservation and Environment Research (UWICER) has initiated HEROES program in 2015. 17 schools covering different altitudinal gradient and geographic region were selected as monitoring sites. In each school, weather station was installed that logs weather data such as temperature, precipitation, solar radiation, soil moisture, wind speed and wind direction every 10 minutes. Also, at the same location, the project monitor and records phenological events and its timing such as budburst, flowering and fruiting on an yearly basis. This dataset consists of daily and monthly temperature and precipitation data for 2015-2020 period derived from weather station data collected at 10 minute interval at Khasadrapchu School, Thimphu, Bhutan.
DOI: 10.57841/casdc.0007132
title: 含beta-拉帕醌的自降解聚合物纳米粒子反应过程数据和测试表征数据
DOI: 10.15468/dl.kqfcjy
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplolaena dampieri",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 153 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006239-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26066/rds.1972719
title: Weather station data – precipitation and temperature – at Jomotsangkha School in Samdrupjongkhar, Bhutan (2015-2020)

description: As part of climate change impact monitoring program on biodiversity, Ugyen Wangchuck Institute for Conservation and Environment Research (UWICER) has initiated HEROES program in 2015. 17 schools covering different altitudinal gradient and geographic region were selected as monitoring sites. In each school, weather station was installed that logs weather data such as temperature, precipitation, solar radiation, soil moisture, wind speed and wind direction every 10 minutes. Also, at the same location, the project monitor and records phenological events and its timing such as budburst, flowering and fruiting on an yearly basis. This dataset consists of daily and monthly temperature and precipitation data for 2015-2020 period derived from weather station data collected at 10 minute interval at Jomotsangkha School, Samdrupjongkhar, Bhutan.
DOI: 10.6084/m9.figshare.31225225
title: <b>FINANCIAL STRATEGIES TO TACKLE CRITICAL FACTORS THAT DRIVE STARTUP BUSINESSES’ FAILURE. EVIDENCE FROM DEVELOPING AND LOWER-MIDDLE INCOME COUNTRIES</b>

description: DATASET UPLOADED IS RELATED TO ARTICLE TITLED: <b>FINANCIAL STRATEGIES TO TACKLE CRITICAL FACTORS THAT DRIVE STARTUP BUSINESSES’ FAILURE. EVIDENCE FROM DEVELOPING AND LOWER-MIDDLE INCOME COUNTRIES</b>
DOI: 10.6084/m9.figshare.31225225.v1
title: <b>FINANCIAL STRATEGIES TO TACKLE CRITICAL FACTORS THAT DRIVE STARTUP BUSINESSES’ FAILURE. EVIDENCE FROM DEVELOPING AND LOWER-MIDDLE INCOME COUNTRIES</b>

description: DATASET UPLOADED IS RELATED TO ARTICLE TITLED: <b>FINANCIAL STRATEGIES TO TACKLE CRITICAL FACTORS THAT DRIVE STARTUP BUSINESSES’ FAILURE. EVIDENCE FROM DEVELOPING AND LOWER-MIDDLE INCOME COUNTRIES</b>
DOI: 10.5281/zenodo.18453167
title: ENHANCING FOREIGN LANGUAGE TEACHING METHODOLOGY THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES

description:  Artificial intelligence (AI) has become an influential factor in the modernization of foreign language education. The application of AI technologies enables personalized instruction, adaptive learning environments, and automated assessment, which significantly improve teaching effectiveness. This article aims to analyze the potential of artificial intelligence in enhancing foreign language teaching methodology. Following the IMRAT structure, the study provides an overview of the research background, examines methodological approaches, analyzes recent findings, discusses pedagogical implications, and presents final conclusions. The results demonstrate that AI-based methodologies promote learner-centered instruction, increase student motivation, and support teachers in instructional decision-making. The study confirms that artificial intelligence, when integrated appropriately, can substantially improve the quality of foreign language teaching.
DOI: 10.5281/zenodo.18453166
title: ENHANCING FOREIGN LANGUAGE TEACHING METHODOLOGY THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES

description:  Artificial intelligence (AI) has become an influential factor in the modernization of foreign language education. The application of AI technologies enables personalized instruction, adaptive learning environments, and automated assessment, which significantly improve teaching effectiveness. This article aims to analyze the potential of artificial intelligence in enhancing foreign language teaching methodology. Following the IMRAT structure, the study provides an overview of the research background, examines methodological approaches, analyzes recent findings, discusses pedagogical implications, and presents final conclusions. The results demonstrate that AI-based methodologies promote learner-centered instruction, increase student motivation, and support teachers in instructional decision-making. The study confirms that artificial intelligence, when integrated appropriately, can substantially improve the quality of foreign language teaching.
DOI: 10.15468/dl.m6jk7t
title: Occurrence Download

description: A dataset containing 707 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bernardia mexicana"
 ]
}

 The dataset includes 707 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006241-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26066/rds.1972726
title: Weather station data – precipitation and temperature – at Gyelpozhing School in Mongar, Bhutan (2015-2019)

description: As part of climate change impact monitoring program on biodiversity, Ugyen Wangchuck Institute for Conservation and Environment Research (UWICER) has initiated HEROES program in 2015. 17 schools covering different altitudinal gradient and geographic region were selected as monitoring sites. In each school, weather station was installed that logs weather data such as temperature, precipitation, solar radiation, soil moisture, wind speed and wind direction every 10 minutes. Also, at the same location, the project monitor and records phenological events and its timing such as budburst, flowering and fruiting on an yearly basis. This dataset consists of daily and monthly temperature and precipitation data for 2015-2019 period derived from weather station data collected at 10 minute interval at Gyelpozhing School, Mongar, Bhutan.
DOI: 10.26066/rds.1972738
title: Weather station data – precipitation and temperature – at Tendruk School in Samtse, Bhutan (2015-2020)

description: As part of climate change impact monitoring program on biodiversity, Ugyen Wangchuck Institute for Conservation and Environment Research (UWICER) has initiated HEROES program in 2015. 17 schools covering different altitudinal gradient and geographic region were selected as monitoring sites. In each school, weather station was installed that logs weather data such as temperature, precipitation, solar radiation, soil moisture, wind speed and wind direction every 10 minutes. Also, at the same location, the project monitor and records phenological events and its timing such as budburst, flowering and fruiting on an yearly basis. This dataset consists of daily and monthly temperature and precipitation data for 2015-2020 period derived from weather station data collected at 10 minute interval at Tendruk School, Samtse, Bhutan.
DOI: 10.5281/zenodo.18453173
title: COVID-19 БИЛАН КАСАЛЛАНГАН БЕМОРЛАРДА ҚАЛҚОНСИМОН БЕЗНИНГ МОРФОЛОГИК ЎЗГАРИШЛАРИ

description: Коронавирус инфекцияси (COVID-19) нафақат нафас олиш тизими, балки кўплаб эндокрин аъзоларга ҳам салбий таъсир кўрсатиши исботланган. Қалқонсимон без (ҚБ) эндокрин тизимнинг муҳим қисми бўлиб, унинг фаолияти организмнинг умумий метаболизми, иммун жавоби ва стрессга чидамлилиги билан узвий боғлиқ. Сўнгги йилларда COVID-19 билан касалланган беморларда тиреоидит, тиреотоксикоз ва гипотиреоз ҳолатлари кўпайиб бораётгани ҳақида маълумотлар мавжуд. Бироқ ушбу ўзгаришларнинг морфологик асослари етарлича ўрганилмаган.