cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17608/k6.auckland.24539791
title: Additional Table 1

description: Additional table describing the vOTUs-representative UViGs identified in the participants in the Gut Bugs Trial, analysed in the manuscript "Phages modulate bacterial communities in the human gut following faecal transplantation". The UViGs have been described according to the latest MIUViG standards (November 10th 2023).<br>
DOI: 10.17608/k6.auckland.24539791.v1
title: Additional Table 1

description: Additional table describing the vOTUs-representative UViGs identified in the participants in the Gut Bugs Trial, analysed in the manuscript "Phages modulate bacterial communities in the human gut following faecal transplantation". The UViGs have been described according to the latest MIUViG standards (November 10th 2023).<br>
DOI: 10.6084/m9.figshare.23573919
title: The role of Problem-based learning approach in teaching and learning physics: a systematic literature review.

description: The systematic literature review aimed to reveal the role of the problem-based learning approach in teaching and learning physics. Relevant articles for the review were sourced from scopus and web of science using key words such as ''problem-based learning'' and ''PBL in physics'', ''education'' as search terms. This search yielded 376 results.
DOI: 10.5063/f1g73c54
title: Assessing the role of incubation temperature as a barrier to successful establishment of coho salmon (Oncohynchus kisutch) in a rapidly warming Arctic

description: This is the dataset used to assess the role of incubation temperature as a barrier to successful spawning and development of coho salmon (Oncorhynchus kisutch) in an Arctic establishing scenario. We experimentally exposed coho salmon embryos to temperatures that were previously recorded in the groundwater spring-fed spawning environment of Dolly Varden (Salvelinus malma), an important subsistence species known to spawn in thermal refugia, similar to Pacific salmon. Data packages available for this project include (1) recorded temperature from experimental treatments; (2) observed embryo mortality data throughout the experiment; (3) observed hatching response data throughout the experiment; and (3) R code associated with conducting analyses; and (4) binary survival observations for experimental embryos and associated developmental rates.
DOI: 10.57841/casdc.0003100
title: MoSi2-Mo5Si3-Mo5SiB2/SiC配对副的摩擦磨损性能
DOI: 10.57841/casdc.0003101
title: 开式热沉内冷刀具的设计及其导热性能分析
DOI: 10.6084/m9.figshare.24539908
title: Baseline characteristics

description: Baseline characteristics. Minimal, de-identified, aggregated dataset from TriNetX
DOI: 10.6084/m9.figshare.24539908.v1
title: Baseline characteristics

description: Baseline characteristics. Minimal, de-identified, aggregated dataset from TriNetX
DOI: 10.21227/gst1-at45
title: PEN-FWI network executable files and datasets

description: The dataset introduces a novel physics-embedded deep learning neural network for accelerating traditional FWI algorithms, thereby reducing the required imaging time while overcoming the challenge of needing a high-quality initial model for traditional FWI inversion. The provided dataset includes training, validation, and testing sets, along with executable files related to PEN-FWI network training and validation.
DOI: 10.6084/m9.figshare.24539917
title: Cumulative incidence data

description: De-identified, minimal, aggregated dataset from TriNetX used to plot cumulative incidence of tramadol prescription
DOI: 10.6084/m9.figshare.24539920
title: Propensity score density graph data

description: Data used to plot propensity score density
DOI: 10.6084/m9.figshare.24539920.v1
title: Propensity score density graph data

description: Data used to plot propensity score density
DOI: 10.34740/kaggle/dsv/6934016
title: WallStreetBets 2022
DOI: 10.21227/sfmr-bb58
title: PEN-FWI network executable files and datasets

description: 该数据集引入了一种新型的物理嵌入深度学习神经网络，用于加速传统的FWI算法，从而减少了所需的成像时间，同时克服了传统FWI反演需要高质量初始模型的挑战。提供的数据集包括训练集、验证集和测试集，以及与 PEN-FWI 网络训练和验证相关的可执行文件。
DOI: 10.25345/c5hd7p38f
title: MassIVE MSV000093349 - A proteomic study of Rhipicephalus microplus saliva throughout blood feeding
title: When feeding on a vertebrate host, ticks secrete saliva, which is a complex mixture of proteins, lipids, and other molecules. Tick saliva assists the vector in modulating host hemostasis, immunity, and tissue repair mechanisms. While helping the vector to feed, its saliva also modifies the site where pathogens are inoculated and often facilitates the infection process. The objective of this study is to uncover the variation in proteomic composition of Rhipicephalus microplus saliva during blood feeding. Ticks were fed on calves, and adult females were collected, weighted, and divided in nine groups, representing the slow and the rapid feeding phases of blood feeding. Tick saliva was collected, and mass-spectrometry analyses were used to identify differentially secreted proteins. Bioinformatic tools were employed to predict the structural and functional features of the salivary proteins. Best-reciprocal analyses were used to identify conserved families of salivary proteins secreted by other tick species. Changes in the protein expression profiles of R. microplus adult female saliva during the blood feeding were observed, characterizing the phenomenon known as sialome switching. This observation validates the idea that the switch in protein expression may serve as a mechanism of evading host responses against tick feeding. The cattle tick saliva is predominantly rich in heme-binding proteins, secreted conserved proteins, lipocalins, and protease inhibitors, many of which are conserved and present in the saliva of other tick species. Additionally, proteins that serve as markers for extracellular vesicles were also identified, suggesting the presence of such vesicles in R. microplus saliva. Another remarkable observation was the identification of host-derived proteins as a component of tick saliva. Overall, this study brings new insights into understanding proteomic profile of tick saliva, which is an important component of tick feeding biology. The results presented here, along with the disclosed sequences, contribute to our understanding of tick feeding biology and might aid in the identification of new targets for the development of novel anti-tick methods.
DOI: 10.5281/zenodo.4750738
title: CONUS NG-IDF Data Sets

description: The <strong>NG-IDF data sets</strong> are developed for characterizing extreme events relevant to hydrologic design over water years 1951‒2013, at a 1/16th-degree (~6 km) resolution for over 200,000 locations across the conterminous United States (CONUS). The data sets are prepared in comma-separated value (.csv) format. <strong>The data sets include:</strong> <strong>list_location.csv</strong> <strong>Content:</strong> geographic <strong>c</strong>oordinates and (snow parameterization) cluster ID of 207,173 locations over the CONUS land surfaces. <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: C1: Latitude; C2: Longitude; C3: cluster ID (ranging from 1‒5) <strong>IDF/</strong> <strong>Content:</strong> discrete IDF values, i.e. magnitude of extreme events, corresponding to different event durations and returned periods, driven by different hydrometeorological mechanisms (i.e., rain, snowmelt, and rain-on-snow [ROS]) <strong>Dimension</strong>: 207,173 (Rows) x 9 (Columns) <strong>Format</strong>: C1: Latitude; C2: Longitude; C3‒9 (unit: mm): IDF values corresponding to return periods of 2 , 5, 10, 25, 50, 100, and 500 year <strong>trend/</strong> <strong>Content</strong>: Sen's slope of Mann-Kendall trend in annual maximum series driven by different hydrometeorological mechanisms over water years 1951‒2013 <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: C1: Latitude; C2: Longitude; C3:Trend. Unit is mm/year for all files but ROS_freq.csv that has a unit of # of events per year. <strong>Dom-Driver/</strong> <strong>Content</strong>: Dominant driving mechanism of extreme W events with different durations (24, 48 and 72 hours) and return periods (10, 50, and 100 years) <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: C1: Latitude; C2: Longitude; C3: Dominant driver IDs (1=rainfall, 2=ROS, 3=melt). <strong>risk/</strong> <strong>Content</strong>: Design risk associated with PREC-IDF estimated 100-year extreme events <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: C1: Latitude; C2: Longitude; C3: Bias (%) in PREC-IDF estimated extremes relative to NG-IDF <strong>SI/</strong> <strong>Content</strong>: Seasonality of annual maximum W events with 24-, 48-, and 72-hr durations <strong>Dimension</strong>: 207,173 (Rows) x 4 (Columns) <strong>Format</strong>: C1: Latitude; C2: Longitude; C3: Mean data (=1 if Oct 1); C4: Seasonality index <strong>Abbreviations used in folder/file names:</strong> W = water reaching the land surface during rain, snowmelt, and ROS events P = precipitation R = rainfall ROS = rain-on-snow M = snowmelt
DOI: 10.5281/zenodo.10096602
title: Dataset for Digital Twin Driven Smart Manufacture paper

description: Description for each profile:

1) "1. Real-time testing of the data collection system" is the consumption time of collection and transmission of high-frequency data from edge sensors to the fog sever.
2) "2. Response time testing of multi-user data queries for data management system" is the write response time of HBase-module and Redis-module to receive data from fog sever.
3) "3. Interface response time testing for data management system" shows the test results of four scenarios in which the multi-user login system sends data query requests to the back-end interface.
DOI: 10.5281/zenodo.10096603
title: Dataset for Digital Twin Driven Smart Manufacture paper

description: Description for each profile:

1) "1. Real-time testing of the data collection system" is the consumption time of collection and transmission of high-frequency data from edge sensors to the fog sever.
2) "2. Response time testing of multi-user data queries for data management system" is the write response time of HBase-module and Redis-module to receive data from fog sever.
3) "3. Interface response time testing for data management system" shows the test results of four scenarios in which the multi-user login system sends data query requests to the back-end interface.
DOI: 10.5281/zenodo.10096357
title: ADGRE5-centered Tsurv model in T cells recognizes responders to neoadjuvant cancer  immunotherapy
DOI: 10.5281/zenodo.10096358
title: ADGRE5-centered Tsurv model in T cells recognizes responders to neoadjuvant cancer  immunotherapy
DOI: 10.5281/zenodo.10096960
title: ADGRE5-centered Tsurv model in T cells recognizes responders to neoadjuvant cancer  immunotherapy
DOI: 10.6084/m9.figshare.24532918.v2
title: <b>PhotoCat: An Artificial Intelligence-Driven Synthesis Planning Platform for Photocatalysis</b>

description: The data and code for the paper named "<b>PhotoCat: An Artificial Intelligence-Driven Synthesis Planning Platform for Photocatalysis</b>"
DOI: 10.6084/m9.figshare.24538876
title: <b>Table</b><b> </b><b>1</b><b> </b>Demographic distribution of the participants (n=327)

description: Demographic distribution of the participants (n=327)
DOI: 10.6084/m9.figshare.24538936
title: <b>Table 2.</b> Situation analysis of AMU and AMR

description: Situation analysis of AMU and AMR
DOI: 10.6084/m9.figshare.24538939
title: <b>Table 3.</b> Antimicrobial classification in the poultry industry

description: Antimicrobial classification in the poultry industry
DOI: 10.6084/m9.figshare.24538939.v1
title: <b>Table 3.</b> Antimicrobial classification in the poultry industry

description: Antimicrobial classification in the poultry industry
DOI: 10.6084/m9.figshare.24532918.v3
title: <b>PhotoCat: An Artificial Intelligence-Driven Synthesis Planning Platform for Photocatalysis</b>

description: The data and code for the paper named "<b>PhotoCat: An Artificial Intelligence-Driven Synthesis Planning Platform for Photocatalysis</b>"
DOI: 10.5281/zenodo.10097014
title: A Dataset and supplementary materials for the article ''Energy poverty and fiscal ressource'' submited in International Tax and Public Finance.

description: We have two version of dataset, excel and stata with the supplementary materials of the articles which contain colour figures and tables.
DOI: 10.5281/zenodo.10097015
title: A Dataset and supplementary materials for the article ''Energy poverty and fiscal ressource'' submited in International Tax and Public Finance.

description: We have two version of dataset, excel and stata with the supplementary materials of the articles which contain colour figures and tables.
DOI: 10.5281/zenodo.10081323
title: SOCIO WORLD SOCIAL RESEARCH & BEHAVIORAL SCIENCES

description: SOCIO WORLD SOCIAL RESEARCH & BEHAVIORAL SCIENCES
DOI: 10.5281/zenodo.10097480
title: SOCIO WORLD SOCIAL RESEARCH & BEHAVIORAL SCIENCES

description: SOCIO WORLD SOCIAL RESEARCH & BEHAVIORAL SCIENCES
DOI: 10.5281/zenodo.10081324
title: SOCIO WORLD SOCIAL RESEARCH & BEHAVIORAL SCIENCES

description: SOCIO WORLD SOCIAL RESEARCH & BEHAVIORAL SCIENCES
DOI: 10.15139/s3/fpuqxr
title: Replication Data for: Athletic Competition between the States: The Rapid Spread of Name, Image, Likeness Laws and Why It Matters for Understanding Policy Diffusion

description: In the study of the policy diffusion process, scholars have found that states adopt policies to remain competitive with one another over economic resources. But the rapid spread of Name, Image, Likeness (NIL) policies, which treat college athletes as professionals, is not readily explained by economic competition, nor other diffusion mechanisms. The NIL phenomenon points to a new dimension of competition between the states, which is more closely tied to states protecting or enhancing their reputations than it is to directly accruing economic resources. To test if NIL spread as the result of athletic reputation competition, we model the adoption of NIL legislation as a function of internal characteristics (i.e. number, value, and ranking of college football programs) and interstate dynamics (i.e. actions of football, conference, and Power 5 competitors). We test the effect of these measures alongside traditional diffusion indicators, finding that both internal and interstate indicators of athletic competition drive states to adopt and implement NIL. NIL is important to study as it has changed the landscape of amateur sports, as well as our scholarly understanding of policy diffusion in the American federal system, specifically broadening our conceptualization of the competition mechanism and developing customized measures of it.
DOI: 10.21227/cr79-r622
title: A CONCISE MANUAL FOR PRESENTING IDEAS IN ENGLISH: DERIVED FROM A YOUTUBE VIDEO (TRANSCRIPT)

description:  translator AfrikaansAlbanian - shqipeArabic - &lrm;‫العربية‬&lrm;Armenian - ՀայերէնAzerbaijani - azərbaycancaBasque - euskaraBelarusian - беларускаяBengali - বাংলাBulgarian - българскиCatalan - catalàChinese - 中文（简体中文）Chinese - 中文 (繁體中文)Croatian - hrvatskiCzech - češtinaDanish - danskDutch - NederlandsEnglishEsperanto - esperantoEstonian - eestiFilipinoFinnish - suomiFrench - françaisGalician - galegoGeorgian - ქართულიGerman - DeutschGreek - ΕλληνικάGujarati - ગુજરાતીHaitian Creole - kreyòl ayisyenHebrew - &lrm;‫עברית‬&lrm;Hindi - हिन्दीHungarian - magyarIcelandic - íslenskaIndonesian - Bahasa IndonesiaIrish - GaeilgeItalian - italianoJapanese - 日本語Kannada - ಕನ್ನಡKorean - 한국어Latin - Lingua LatinaLatvian - latviešuLithuanian - lietuviųMacedonian - македонскиMalay - Bahasa MelayuMaltese - MaltiNorwegian - norskPersian - &lrm;‫فارسی‬&lrm;Polish - polskiPortuguese - portuguêsRomanian - românăRussian - русскийSerbian - СрпскиSlovak - slovenčinaSlovenian - slovenščinaSpanish - españolSwahili - KiswahiliSwedish - svenskaTamil - தமிழ்Telugu - తెలుగుThai - ไทยTurkish - TürkçeUkrainian - українськаUrdu - &lrm;‫اردو‬&lrm;Vietnamese - Tiếng ViệtWelsh - CymraegYiddish - יידיש  Double-click  Select to translate Students are urged as aspiring young professionals to use practical English presenting approaches in manual instructions for subjects [13 to 16]. Although many individuals have presented in public, it needs to be strengthened at the campus level and as prospective young professionals who need public speaking skills, such as by presenting ideas at seminars, in class, workshops, and so forth.TRANSLATE with  x  EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian //        TRANSLATE with  COPY THE URL BELOW       Back  EMBED THE SNIPPET BELOW IN YOUR SITE  Enable collaborative features and customize widget: Bing Webmaster PortalBack//
DOI: 10.5281/zenodo.5578630
title: Datasets for Ecohydrological Model for Grassland Lacking Historical Measurements

description: We proposed the distributed dynamic process model (DDPM) and here are the example datasets of our model. Datasets I : Eva_module_datasets.zip: Here are the datasets for running the DDPM Eva module. Datasets II: Flow_result.zip: Here are the datasets for running the DDPM PR & FLC module.
DOI: 10.15121/1464529
title: Utah FORGE: Well 58-32 Schlumberger FMI Logs DLIS and XML files

description: This zipped data set includes Schlumberger FMI logs DLIS and XML files from Utah FORGE deep well 58-32. These include runs 1 (2226-7550 ft) and 2 (7440-7550 ft). Run 3 (7390-7527ft) was acquired during phase 2C.
DOI: 10.6084/m9.figshare.24539839
title: Integrated cross-stage endometrial cell atlas of reproductive cycle

description: Annotated endometrial cell atlas of reproductive cycle (proliferative phase, secretory phase, early pregnancy, late pregnancy)
DOI: 10.6084/m9.figshare.24539839.v1
title: Integrated cross-stage endometrial cell atlas of reproductive cycle

description: Annotated endometrial cell atlas of reproductive cycle (proliferative phase, secretory phase, early pregnancy, late pregnancy)
DOI: 10.5281/zenodo.10097466
title: 222Rn tracing groundwater–lake water exchange in the transitional lake

description: There are three tables including continuous monitoring data, profile radon activity data and sediments experiment data. The continuous monitoring table includes the time of continuous monitoring, radon in the profile, lake water temperature, and wind speed. Lake water volume, sediment mass, overlying water radon activity, wet density, porosity, pore water radon activity, and radon released per unit volume of sediment are listed in the sediment experimental data table.
DOI: 10.5281/zenodo.10097467
title: 222Rn tracing groundwater–lake water exchange in the transitional lake

description: There are three tables including continuous monitoring data, profile radon activity data and sediments experiment data. The continuous monitoring table includes the time of continuous monitoring, radon in the profile, lake water temperature, and wind speed. Lake water volume, sediment mass, overlying water radon activity, wet density, porosity, pore water radon activity, and radon released per unit volume of sediment are listed in the sediment experimental data table.
DOI: 10.5281/zenodo.10097707
title: SXS Rerun Waveforms
DOI: 10.5281/zenodo.10097706
title: SXS Rerun Waveforms
DOI: 10.25582/data.2021-10.2372684/2197869
title: Data for EMSL Project 60221 from October 2021
DOI: 10.25582/data.2022-07.2567906/2200263
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-07.2567464/2200264
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-08.2574813/2200265
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2569526/2200266
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2575569/2200267
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2571978/2200268
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2571098/2200269
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-07.2567075/2200270
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-07.2567283/2200271
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-08.2575088/2200272
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2574432/2200273
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-07.2567995/2200274
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-08.2575539/2200275
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2574447/2200276
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2569716/2200277
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2569835/2200278
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2575607/2200279
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-07.2567951/2200280
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-08.2575557/2200281
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2575067/2200282
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2574887/2200283
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2575390/2200284
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2569547/2200285
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2569572/2200286
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-07.2567061/2200287
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-07.2567107/2200288
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-08.2569659/2200289
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2574741/2200290
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2569394/2200291
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-07.2567271/2200292
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-08.2569977/2200293
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2572008/2200294
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2574718/2200295
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-07.2567140/2200296
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-08.2569798/2200297
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2574840/2200298
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-07.2567570/2200299
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-07.2567897/2200300
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-07.2567936/2200301
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-07.2568125/2200302
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-08.2570095/2200303
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2574805/2200304
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-07.2567767/2200305
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-07.2567804/2200306
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-08.2570064/2200307
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2574627/2200308
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-08.2569510/2200309
title: Data for EMSL Project 60242 from August 2022
DOI: 10.25582/data.2022-07.2567317/2200310
title: Data for EMSL Project 60242 from July 2022
DOI: 10.25582/data.2022-08.2569607/2200311
title: Data for EMSL Project 60242 from August 2022