cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/zsj0-m341
title: QA4Camera

description: Smartphone has been one of the most popular digital devices in the past decades, with more than 300 million smartphones sold every quarter in the world wide. Most of the smartphone vendors, such as Apple, Huawei, Samsung, launch their new flagship smartphones every year. People use smartphone cameras to shoot selfie photos, film scenery or events, and record videos of family and friends. The specifications of smartphone camera and the quality of taken pictures are major criteria for consumer to select and buy smartphones. Many smartphone manufacturers also introduce and advertise their smartphones by introducing the strengths and advantages of their smartphone cameras. However, how to evaluate the quality of smartphone cameras and the taken pictures remains a problem for both smartphone manufacturers and confumers. Currently in the market, there are several teams and companies who evaluate the quality of smartphone cameras and announce the ranking and scores of the quality of smartphone cameras, and the scores of smartphone cameras are subjectively graded by several photographers and experts from different aspects, such as exposure, color, noise and texture. However, subjective assessment is not easy to reproduce, and it is not easy to deploy in practical image processing systems.In the last two decades, objective image quality assessment (IQA) has been widely researched, and a large amount of objective IQA algorithms have been designed to automatically and accurately estimate the quality of images. However, most of objective IQA methods are designed to assess the overall perceived quality of the image degraded by various simulated distortions, which rarely exist in pictures taken by the modern smartphone cameras. Thus these methods are not suitable for the task of smartphone camera quality assessment, while objective evaluation methods specifically designed for the purpose of smartphone camera quality assessment are relatively rare.The purpose of this Grand Challenge is to drive efforts of image quality assessment towards smartphone camera quality assessment. With this Grand challenge, it is expected to develop objective smartphone camera quality assessment models from four different aspects, including exposure, color, noise and texture, by using the datasets released by the organizers. The goal is to provide reference quality rankings or scores for smartphone cameras and to both smartphone manufacturers and consumers.Participants are asked to submit four computational models to cacluate the rankings of smartphone camera from four aspects: exposure, color, noise and texture.
DOI: 10.4225/25/5625ab057220f
title: St George conductance grid geodetic

description: Total magnetic intensity data measures variations in the intensity of the Earth's magnetic filed caused by the contrasting content of rock-forming minerals in the Earth's crust.  The data are collected on airborne geophysical surveys conducted by Commonwealth, State & NT Governments and the private sector.
DOI: 10.5286/isis.e.rb1810472
title: QENS to study the hydration behavior of two types of Calcium caseinate powder using different solvents

description: Producing meat analogue instead of real meat is one effective way to reduce carbon emissions and improve animal welfare. Calcium caseinate (CaCas) is a prominent candidate for this purpose. When the powder is mixed with water, it forms a dense gel. This gel can be transformed into fibrous structure under shear and heat. Depending on drying methods and solvent used, spray-dried CaCas with H2O gives pronounced fibrous structure and roller-dried CaCas with D2O give some fibrous structure. We suspect the morphology of the powder and the hydrogen bond both play a role in the structure. The aim of this proposal is to use QENS to study the hydration behavior of the 2 protein powders at different hydration levels using both H2O and D2O. We also hope to disentangle the behavior of hydrogen from the protein and from the water molecule by comparing the H2O and D2O results.
DOI: 10.25952/5ee18a43bfd53
title: Winba = fire, the Banbai Fire and Seasons Calendar

description: Please note: Updates about this project can be found on the FaceBook page of Michelle Beverley McKemey https://www.facebook.com/mmckemey/ <br> A clickable version of this link can be found in the "Other Links" field. <br> <br> Please cite this poster as: <br> McKemey, M. and Banbai Rangers (2020) Winba = Fire: Banbai Fire and Seasons Calendar. Firesticks Alliance NSW. Released under Creative Commons: CC BY-NC-SA 4.0
description: Our research describes the reintroduction of cultural burning at Wattleridge Indigenous Protected Area (IPA) in New South Wales Australia, owned by the Banbai Aboriginal Nation, and considers the ecological and cultural changes that occur when fire is reintroduced to a long unburnt ecosystem. Through participatory action research, semi-structured interviews and the development of cross-cultural science, (using Indigenous and western scientific knowledge), we monitored the impact of cultural burning on important plants and animals and developed a fire and seasons calendar for Wattleridge IPA. Winba = Fire presents the biocultural indicators, Banbai language names, fire management recommendations and results of cross-cultural monitoring. In our experience, cultural burning is so much more than just lighting a fire. It encourages cultural revitalisation, use of threatened Aboriginal languages, ecological restoration, hazard reduction and asset protection (diversity of assets), responsible and appropriate fire management, community engagement and reconciliation. Cultural burning provides a mechanism whereby Aboriginal people ‘get out on Country’ and transfer knowledge of an ancient cultural practice. The practice of burning is exciting which encourages young people to be involved. We have found that cultural knowledge can be relearned and may not be lost forever, even in communities where the impacts of colonisation were particularly severe. Cultural burning is empowering for Aboriginal communities and can have benefits for all of Australia.
DOI: 10.17614/q4776b
title: (1s,2s,3ar,4s,5s,9r,11r,12z,13as)-4,9,11-triacetoxy-3a-hydroxy-2,5,8,8,12-pentamethyl-2,3,3a,4,5,8,9,10,11,13a-decahydro-1h-cyclopenta[12]annulen-1-yl benzoate
DOI: 10.13145/bacdive120122.20190402.4
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/mu.the.2009.194
title: ผลของโปรแกรมการพยาบาลตามทฤษฎีความสำเร็จตามจุดมุ่งหมายของคิง ต่อภาวะปอดแฟบและความพึงพอใจของผู้ป่วยหลังผ่าตัดหัวใจแบบเปิด /
DOI: 10.23725/c0yf-m932
title: NWD608763.b38.irc.v1.cram

description: TOPMed: NWD608763.b38.irc.v1.cram <br>File: CRAM file
DOI: 10.7281/t1/pziuuo/cjsmwr
title: Financial Sample.tab

description: Sample data
DOI: 10.7281/t1/pziuuo
title: Test data

description: A test dataset.
DOI: 10.14457/cmu.res.2001.50
title: กลยุทธ์ในการเข้าถึงทรัพยากรของชุมชนตั้งถิ่นฐานใหม่ ท่ามกลางบริบทของการปิดล้อมพื้นที่ป่า
DOI: 10.14457/cmu.the.2001.283
title: การใช้โปรตีนถั่วเหลืองและเลซิทินในนมเทียมสำหรับลูกโค
DOI: 10.14457/cmu.the.2000.58
title: กรรมวิธีการผลิตข้าวโพดหมักคุณภาพดี และการประเมินคุณภาพและคุณค่าทางโภชนะเพื่อใช้เลี้ยงโคนม
DOI: 10.14457/cmu.the.2001.284
title: การผสมพันธุ์และการจำแนกพันธุ์ลูกผสมสตรอเบอรี่โดยวิธีสัณฐานวิทยาและอิเล็กโทรโฟรีซิส
DOI: 10.14457/cmu.the.2000.59
title: การพัฒนาคุณภาพงานวิชาการในโรงเรียนประถมศึกษาอำเภอศรีนคร จังหวัดสุโขทัย
DOI: 10.14457/cmu.the.2000.60
title: ความสามารถในการประยุกต์ระบบควบคุมสัญญาณไฟด้วยคอมพิวเตอร์ สำหรับการควบคุมการจราจรในเมืองเชียงใหม่
DOI: 10.14457/cmu.the.2001.285
title: กระบวนการผ่อนคลายในแก้วซิลิเกตที่มีปริมาณตะกั่วสูง
DOI: 10.14457/cmu.the.2001.286
title: การใช้กิจกรรมการเล่านิทานเพื่อส่งเสริมทักษะฟัง-พูดอังกฤษ และความคงทนในการเรียนรู้คำศัพท์ของนักเรียนชั้นประถมศึกษาปีที่ 5
DOI: 10.14457/cmu.the.2001.287
title: การคาดคะเนความสามารถในการรับน้ำหนักของเสาเข็มตอกในชั้นดินเชียงใหม่
DOI: 10.14457/cmu.the.2000.61
title: การรู้จำโครงร่างภาพวัตถุด้วยนิวรอลเน็ตเวอร์ค
DOI: 10.14457/cmu.the.2000.62
title: ความพยายามในการจัดเก็บภาษีขององค์การบริหารส่วนจังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2001.288
title: การพยากรณ์ความต้องการไฟฟ้าระยะสั้นของสถานีไฟฟ้าย่อย โดยใช้เครือข่ายประสาทร่วมกับหลักวิธีถ่ายทอดพันธุกรรม
DOI: 10.14457/cmu.the.2001.289
title: พลวัตประชากรสาหร่ายสีเขียวแกมน้ำเงินที่ตรึงไนโตรเจนได้ในระบบนิเวศที่ต่างกัน
DOI: 10.14457/cmu.the.2001.290
title: การใช้อินเทอร์เน็ตของนักศึกษา คณะศึกษาศาสตร์ มหาวิทยาลัยเชียงใหม่
DOI: 10.14457/cmu.the.2000.63
title: การวิเคราะห์ต้นทุน-ผลตอบแทนทางการเงินของการผลิตผักปลอดสารพิษเพื่อการค้า
DOI: 10.14457/cmu.the.2000.64
title: สัมพันธภาพระหว่างบุคคลและความยึดมั่นผูกพันต่อองค์การของพยาบาลวิชาชีพ โรงพยาบาลสมเด็จพระยุพราช
DOI: 10.14457/cmu.the.2000.65
title: พฤติกรรมการดูแลตนเองและความรุนแรงของโรคข้อเข่าเสื่อมในผู้สูงอายุ
DOI: 10.14457/cmu.the.2000.66
title: การปรับตัวด้านสังคมและวัฒนธรรมของชุมชนเนื่องจากการอพยพ
DOI: 10.14457/cmu.the.2000.67
title: การมีส่วนร่วมของชุมชนในการป้องกันโรคขาดสารไอโอดีน
DOI: 10.14457/cmu.the.2000.68
title: ผลของกิจกรรมกลุ่มต่อการเห็นคุณค่าในตนเอง ทักษะการแก้ปัญหาการตัดสินใจและการปฏิเสธของวัยรุ่นชายที่เสพยาบ้าและเข้ารับการรักษาในโรงพยาบาลสวนปรุง จังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2000.69
title: ความสัมพันธ์ระหว่างปัจจัยพื้นฐาน การรับรู้ภาวะสุขภาพและพฤติกรรมส่งเสริมสุขภาพของผู้ป่วยมะเร็งศีรษะและคอ
DOI: 10.14457/cmu.the.2000.70
title: การมีส่วนร่วมของชุมชนในการจัดการศึกษา
DOI: 10.14457/cmu.the.2000.71
title: ความสัมพันธ์ในครัวเรือนของผู้หญิงทำงานนอกบ้าน
DOI: 10.14457/cmu.the.2000.72
title: ผลของการใช้คอมพิวเตอร์ช่วยสอนต่อความรู้เกี่ยวกับการแยกผู้ป่วยของนักศึกษาพยาบาล
DOI: 10.14457/cmu.the.2000.73
title: การประเมินโครงการป้องกันและควบคุมโรคไข้เลือดออก อำเภอแม่สอด จังหวัดตาก
DOI: 10.14457/cmu.the.2000.74
title: การกำจัดซัลเฟตในน้ำระบายจากเหมืองลิกไนต์โดยระบบน้ำไหลแนวนอนใต้ผิวดิน
DOI: 10.14457/cmu.the.2000.75
title: ทัศนคติของพระสงฆ์ในจังหวัดเชียงใหม่ต่อโครงสร้างอำนาจการปกครองวัด ตามพระราชบัญญัติคณะสงฆ์ พ.ศ.2505
DOI: 10.14457/cmu.the.2000.76
title: ปัจจัยที่เกี่ยวข้องกับผลการดำเนินการจัดการเรียนการสอนภาษาอังกฤษของโรงเรียนประถมศึกษา สังกัดสำนักงานการประถมศึกษา จังหวัดกำแพงเพชร
DOI: 10.14457/cmu.the.2000.77
title: การประเมินผลนโยบายกองทุนเงินให้กู้ยืมเพื่อการศึกษาในโรงเรียนมัธยมศึกษาตอนปลาย จังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2000.78
title: ความเชื่อด้านสุขภาพและพฤติกรรมการป้องกันโรคกระดูกพรุนในพยาบาลสตรี
DOI: 10.25919/5ee196cce855a
title: Genetic mapping and transcriptomic characterization of a new fuzzless-tufted cottonseed mutant

description: fuzzless-tufted upland cotton mutant (Gossypium hirsutum) and control at 4 time points (0DPA, 2DPA, 4DPA, 6DPA)
DOI: 10.5281/zenodo.3886212
title: Re-evaluating phoneme frequencies: Supplementary materials

description: Supplementary materials for the paper <em>Re-evaluating phoneme frequencies </em>[submitted]. The PDF file <em>S1-S3.pdf </em>contains text-based supplementary information to the paper. This includes: S1: Guide to data and code S2: Original wordlist sources S3: Tables of results The ZIP file <em>S4-S5_data_code_and_viewer.zip</em> contains code-based supplementary materials and data files. This includes: S4: Data viewer S5: Data and code Please see S1 for information and usage instructions for the data viewer (S4) and the R scripts contained in S5.
description: These materials supplement a paper that has been submitted but not yet accepted for publication. Preprint available at https://arxiv.org/abs/2006.05206
DOI: 10.5281/zenodo.3889139
title: Data support to Characteristics of persistent heavy fog events retrieved by microwave radiometer profiler during 2010–2013 in northern China

description: The dataset include the observation data from microwave radiometer, tethered balloon and the surface.
DOI: 10.5281/zenodo.3889138
title: Data support to Characteristics of persistent heavy fog events retrieved by microwave radiometer profiler during 2010–2013 in northern China

description: The dataset include the observation data from microwave radiometer, tethered balloon and the surface.
DOI: 10.6084/m9.figshare.12462866.v1
title: Additional file 1 of Phase II trial evaluating the clinical efficacy of cefixime for treatment of active syphilis in non-pregnant women in Brazil (CeBra)

description: Additional file 1. Randomization of participants following the permuted block randomization 2:1 method.
DOI: 10.6084/m9.figshare.12462866
title: Additional file 1 of Phase II trial evaluating the clinical efficacy of cefixime for treatment of active syphilis in non-pregnant women in Brazil (CeBra)

description: Additional file 1. Randomization of participants following the permuted block randomization 2:1 method.
DOI: 10.21227/74pw-fk73
title: Twitter Sentiment Analysis Data

description: This dataset page is currently being updated. The tweets collected by the model deployed at https://live.rlamsal.com.np/ are shared here. However, because of the COVID-19 pandemic, the whole computing resources are being used for a dedicated collection of the tweets related to the pandemic. Please go through the following datasets to access those tweets:Coronavirus (COVID-19) Tweets Dataset:https://ieee-dataport.org/open-access/coronavirus-covid-19-tweets-datasetCoronavirus (COVID-19) Geo-tagged Tweets Dataset:https://ieee-dataport.org/open-access/coronavirus-covid-19-geo-tagged-tweets-dataset
DOI: 10.21227/w9ed-zm83
title: Twitter Sentiment Analysis Data

description: This dataset page is currently being updated. The tweets collected by the model deployed at https://live.rlamsal.com.np/ are shared here. However, because of COVID-19, all computing resources I have are being used for a dedicated collection of the tweets related to the pandemic. You can go through the following datasets to access those tweets:Coronavirus (COVID-19) Tweets Dataset:https://ieee-dataport.org/open-access/coronavirus-covid-19-tweets-datasetCoronavirus (COVID-19) Geo-tagged Tweets Dataset:https://ieee-dataport.org/open-access/coronavirus-covid-19-geo-tagged-tweets-dataset
DOI: 10.6084/m9.figshare.12463262.v1
title: Additional file 1 of COVID-19: viral–host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection

description: Additional file 1: Table S1. List of accession numbers of H-CoV. Table S2. List of genes selected by RWR algorithm for HCoV-229E, along with proximity score. Table S3. List of genes selected by RWR algorithm for SARS-CoV, along with proximity score. Table S4. List of genes selected by RWR algorithm for MERS-CoV, along with proximity score.
DOI: 10.6084/m9.figshare.12463262
title: Additional file 1 of COVID-19: viral–host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection

description: Additional file 1: Table S1. List of accession numbers of H-CoV. Table S2. List of genes selected by RWR algorithm for HCoV-229E, along with proximity score. Table S3. List of genes selected by RWR algorithm for SARS-CoV, along with proximity score. Table S4. List of genes selected by RWR algorithm for MERS-CoV, along with proximity score.
DOI: 10.21227/8441-0613
title: Twitter Sentiment Analysis Data

description: This dataset page is currently being updated. The tweets collected by the model deployed at https://live.rlamsal.com.np/ are shared here. However, because of COVID-19, all computing resources I have are being used for a dedicated collection of the tweets related to the pandemic. You can go through the following datasets to access those tweets:Coronavirus (COVID-19) Tweets Dataset:https://ieee-dataport.org/open-access/coronavirus-covid-19-tweets-datasetCoronavirus (COVID-19) Geo-tagged Tweets Dataset:https://ieee-dataport.org/open-access/coronavirus-covid-19-geo-tagged-tweets-dataset
DOI: 10.21227/e4jk-0m78
title: Twitter Sentiment Analysis Data

description: This dataset page is currently being updated. The tweets collected by the model deployed at https://live.rlamsal.com.np/ are shared here. However, because of COVID-19, all computing resources I have are being used for a dedicated collection of the tweets related to the pandemic. You can go through the following datasets to access those tweets:Coronavirus (COVID-19) Tweets Dataset:https://ieee-dataport.org/open-access/coronavirus-covid-19-tweets-datasetCoronavirus (COVID-19) Geo-tagged Tweets Dataset:https://ieee-dataport.org/open-access/coronavirus-covid-19-geo-tagged-tweets-dataset
DOI: 10.21227/5b5d-2q64
title: Twitter Sentiment Analysis Data

description: This dataset page is currently being updated. The tweets collected by the model deployed at https://live.rlamsal.com.np/ are shared here. However, because of COVID-19, all computing resources I have are being used for a dedicated collection of the tweets related to the pandemic. You can go through the following datasets to access those tweets:Coronavirus (COVID-19) Tweets Dataset:https://ieee-dataport.org/open-access/coronavirus-covid-19-tweets-datasetCoronavirus (COVID-19) Geo-tagged Tweets Dataset:https://ieee-dataport.org/open-access/coronavirus-covid-19-geo-tagged-tweets-dataset
DOI: 10.21227/xc3w-a154
title: COVID-19 tweets dataset for Spanish language

description: This dataset consists of tweets related to COVID-19 that have been crawled from twitter. It consists of 18958 unique tweets. It consists of 34 fields though NULL values are also present for some fields in some samples. This dataset contains all the text data in Spanish language and there is no further need to make use of any tools or twitter api to download the textual data.The keywords that were used to crawl the tweets are:1)corona 2)covid19 3) coronavirus 4) covid 5) sarscov2 The various fields present in the dataset are:1) tweet2) id3) username4) place5) near6) user_rt_id7) video8) name9) trans_src10) likes_count11) retweet_id12) urls13) link14) translate15) photos16) user_id17) mentions18)reply_to19)source20) time21) user_rt22) geo23) timezone24) retweets_count25) cashtags26) trans_dest27) retweet_date28) quote_url29) conversation_id30) created_at31) retweet32) hashtags33) date34) replies_count
DOI: 10.21227/v8k1-n613
title: COVID-19 tweets dataset for Spanish language

description: This dataset consists of tweets related to COVID-19 that have been crawled from twitter. It consists of 18958 unique tweets. It consists of 34 fields though NULL values are also present for some fields in some samples. This dataset contains all the text data in Spanish language and there is no further need to make use of any tools or twitter api to download the textual data.The keywords that were used to crawl the tweets are:1)corona 2)covid19 3) coronavirus 4) covid 5) sarscov2
DOI: 10.21227/hv91-qa31
title: Hotel Reviews from around the world with Sentiment Values and Review Ratings in different Categories for Natural Language Processing

description: The dataset consists of reviews for various hotels throughout the world and data columns range from Location, Trip Type to various parameters of reviewing with individual review score. The data can be preprocessed and used for various purposes ranging from review categorization, topic extraction, sentiment analysis, location based quality calculation etc. Trustworthy real world data comes handy now-a-days and is tough to get a grasp on. So this dataset will be a good contribution for the researcher community as well as professionals.
DOI: 10.21227/4xt2-a593
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about “corona”, "coronavirus", "covid" and possible variants of "sarscov2", "nCov", "covid-19", "ncov2019". Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).Note: I started sharing the IDs of the tweets that had exact 'point' location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 170+ million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data)if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-june5.zip will contain tweet ID and sentiment score of the tweets (in CSV and JSON formats) that were created between April 28, 2020, and June 05, 2020.Why are only tweet IDs being shared? Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers always to pull fresh data. Why? Here's my opinion. Maybe, a user might want to delete a particular tweet after some time, and if the same tweet has already been pulled and is being shared on a public domain, then it might make the user/community vulnerable to many inferences coming out of the shared data.
DOI: 10.17632/z2zkv3n9g9.1
title: Data for: Analysis of Temperature Variation Characteristics in the Three Gorges Reservoir Area before and after Impoundment of the Three Gorges Dam

description: This is the data used in the paper.
DOI: 10.21227/2zg4-yx02
title: English language tweets dataset for COVID-19

description: This dataset is very vast and contains tweets related to COVID-19. It consists of 34 fields though NULL values are also present for some fields in some samples. There are 226668 unique tweets in the whole dataset that ranges from December 2019 till May 2020 . This dataset contains all the textual data in English language only. No further need is there to make use of any crawling tools or twitter api to download the textual data seperately. It is itself self sufficient dataset. The keywords that have been used to crawl the tweets are 'corona', , 'covid ' , 'sarscov2 ', 'covid19', 'coronavirus '. Details are written in Documentation file.
DOI: 10.21227/bxad-fq59
title: English language tweets dataset for COVID-19

description: This dataset is very vast and contains tweets related to COVID-19. It consists of 34 fields though NULL values are also present for some fields in some samples. There are 226668 unique tweets in the whole dataset that ranges from December 2019 till May 2020 . This dataset contains all the textual data in English language only. No further need is there to make use of any crawling tools or twitter api to download the textual data seperately. It is itself self sufficient dataset. The keywords that have been used to crawl the tweets are 'corona', , 'covid ' , 'sarscov2 ', 'covid19', 'coronavirus '. Details are written in Documentation file.
DOI: 10.14457/kku.res.1995.21
title: การศึกษาสภาพการดำเนินงานของศูนย์พัฒนาเด็กในจังหวัดขอนแก่น
DOI: 10.14457/kku.res.1994.11
title: การทดสอบอิทธิพลของหินฟอสฟอรัสที่มีต่อการเจริญเติบโตของพืชตระกูลถั่วน้ำ (โสน)
DOI: 10.14457/kku.res.1990.8
title: การวินิจฉัยโรคไข้สมองอักเสบเจอีด้วยเอชไอในน้ำไขสันหลังที่เจาะครั้งเดียว
DOI: 10.14457/kku.res.1994.12
title: การรับข้อมูลจากเครื่องกราดตรวจภาพ
DOI: 10.14457/kku.res.1994.13
title: ความสัมพันธ์ระหว่างความรู้และการปฏิบัติของพยาบาล ในการให้ยาเคมีบำบัด สำหรับผู้ป่วยมะเร็ง
DOI: 10.14457/kku.res.1989.4
title: การศึกษาความต้านทานของสัตว์ทดลองต่อพยาธิใบไม้ตับ (Opisthorchis viverrini) ภายหลังการรักษาด้วยยา
DOI: 10.14457/kku.the.1995.131
title: ผลของระดับโปรตีนในอาหารข้นลูกโค ต่อสมรรถนะของลูกโคเพศผู้โฮลสไตน์พันธุ์แท้ ที่เลี้ยงในภาคตะวันออกเฉียงเหนือ
DOI: 10.14457/kku.the.1995.132
title: ผลของชนิดอาหารหลักที่มีต่อสมรรถภาพการผลิตเนื้อและตับ ของเป็ดเทศเพศผู้