cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24cnjq
title: CCDC 1977413: Experimental Crystal Structure Determination

description: Related Article: Chi Lun Lee, Daqing Chen, Xiao-Yong Chang, Zhou Tang, Chi-Ming Che|2020|Organometallics|39|2642|doi:10.1021/acs.organomet.0c00268
DOI: 10.15468/3xyzm8
title: Two new genera with species of the tribe Sarimini (Hemiptera, Fulgoromorpha, Issidae) from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chang, Zhi-Min, Yang, Lin, Chen, Xiang-Sheng (2020): Two new genera with species of the tribe Sarimini (Hemiptera, Fulgoromorpha, Issidae) from China. ZooKeys 956: 31-47, DOI: http://dx.doi.org/10.3897/zookeys.956.47784, URL: http://dx.doi.org/10.3897/zookeys.956.47784
DOI: 10.15468/jawy7j
title: Two new species of the genus Betacixius Matsumura, 1914 from China (Hemiptera, Fulgoromorpha, Cixiidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhi, Yan, Zhang, Chang-Hua, Yang, Lin, Chen, Xiang-Sheng (2020): Two new species of the genus Betacixius Matsumura, 1914 from China (Hemiptera, Fulgoromorpha, Cixiidae). ZooKeys 956: 1-18, DOI: http://dx.doi.org/10.3897/zookeys.956.50195, URL: http://dx.doi.org/10.3897/zookeys.956.50195
DOI: 10.15468/whzjm8
title: Description of 47 new species of the New Caledonian endemic caddisfly genus Agmina Ward & Schefter (Trichoptera, Ecnomidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Espeland, Marianne, Sjoeberg, Tin, Johanson, Kjell Arne (2020): Description of 47 new species of the New Caledonian endemic caddisfly genus Agmina Ward & Schefter (Trichoptera, Ecnomidae). ZooKeys 956: 49-162, DOI: http://dx.doi.org/10.3897/zookeys.956.51592, URL: http://dx.doi.org/10.3897/zookeys.956.51592
DOI: 10.15468/4fz24b
title: Two new species of the genus Indolipa Emeljanov (Hemiptera, Fulgoromorpha, Cixiidae) from Yunnan Province, China, with a key to species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhi, Yan, Zhang, Pei, Yang, Lin, Chen, Xiang-Sheng (2020): Two new species of the genus Indolipa Emeljanov (Hemiptera, Fulgoromorpha, Cixiidae) from Yunnan Province, China, with a key to species. ZooKeys 956: 19-30, DOI: http://dx.doi.org/10.3897/zookeys.956.51326, URL: http://dx.doi.org/10.3897/zookeys.956.51326
DOI: 10.17632/dphcf83ty6.2
title: Determinants of Exercise Capacity Assessed using Combined Stress Echocardiography and Cardiopulmonary Exercise Testing in Patients Treated for Acute Myocardial Infarction

description: Data from all consecutive patients from acute myocardial infarction and combined stress echocardiography and cardiopulmonary exercise test performed in a single center. AIl included patients are over 18 years, underwent percutaneous coronary intervention (PCI) for the first AMI between October 2015 and January 2019 without residual stenosis and had an ejection fraction of &gt;40%. All patients were enrolled more than 4 weeks after AMI. For full information on the methodology please refer to the linked publication.
DOI: 10.5281/zenodo.3975405
title: Olympic Games 2020

description: This dataset includes CSV files about players of games. We gathered the list of games from https://en.wikipedia.org/wiki/2020_Summer_Olympics. The data in the CSV files are gathered from the below resources: http://www.adventurestats.com/tables/8000ergeo.shtmlhttp://www.bbc.com/news/magazine-28363129https://www.statcrunch.com/app/index.php?dataid=614855http://www.stadiumguide.com/figures-and-statistics/lists/europes-largest-football-stadiums/https://data.world/sports/olympics/file/outturn%20sports-related%20costs%20of%20the%20Olympic%20Games%20.csvhttp://www.bbc.com/news/magazine-28363129https://owlcation.com/stem/TopTenMountainRangeshttps://github.com/jokecamp/FootballData/blob/master/MLS/MLS%20-%202015/mls_players_2015-01-12.csvhttp://www.topendsports.com/events/summer/sports/number.htmhttp://newsok.sportsdirectinc.com/golf/pga-players.aspx?page=/data/pga/players/A_players.html
DOI: 10.5281/zenodo.3928487
title: Customer Service - Device Repair Process (sp2020)

description: This event log is from a service process of a home appliances vendor for repairing faulty devices. <strong>Attributes</strong> CASE_ID: Unique Case Identifier of the Service order ACTIVITY: Label of the process step (see description of process) TIMESTAMP: Time when the activity was finished REPAIR_IN_TIME_5D: Flag that indicates if the service level was met (i.e. repair completed within 5 days) DEVICETYPE: Unique identifier for each product (the first two letter indicate the device type) SERVICEPOINT: Unique identifier for the service partner responsible for the repair <strong>Description of the process activities</strong> Creation: A service order has been created by the hotline or on-site at the service counter Letter: The letter to the customer has been printed DeviceReceived: Parcel with the customer's device has been received StatusRequest: Customer has requested a status update (by phone) Completed: Repair of the device has been completed and it is ready for shipping Transmission: Estimate of the repair costs has been sent to the customer Approved: Cost estimate has been approved by the customer NoteHotline: The hotline has made a remark in the service order NoteWorkshop: The workshop has made a remark in the service order StockEntry: Used spare parts have been booked as taken from the warehouse InDelivery: Device has been sent to customer Freeticket Cust/ Freeticket Comp: can be ignored/legacy
DOI: 10.5281/zenodo.3928486
title: Customer Service - Device Repair Process (sp2020)

description: This event log is from a service process of a home appliances vendor for repairing faulty devices. <strong>Attributes</strong> CASE_ID: Unique Case Identifier of the Service order ACTIVITY: Label of the process step (see description of process) TIMESTAMP: Time when the activity was finished REPAIR_IN_TIME_5D: Flag that indicates if the service level was met (i.e. repair completed within 5 days) DEVICETYPE: Unique identifier for each product (the first two letter indicate the device type) SERVICEPOINT: Unique identifier for the service partner responsible for the repair <strong>Description of the process activities</strong> Creation: A service order has been created by the hotline or on-site at the service counter Letter: The letter to the customer has been printed DeviceReceived: Parcel with the customer's device has been received StatusRequest: Customer has requested a status update (by phone) Completed: Repair of the device has been completed and it is ready for shipping Transmission: Estimate of the repair costs has been sent to the customer Approved: Cost estimate has been approved by the customer NoteHotline: The hotline has made a remark in the service order NoteWorkshop: The workshop has made a remark in the service order StockEntry: Used spare parts have been booked as taken from the warehouse InDelivery: Device has been sent to customer Freeticket Cust/ Freeticket Comp: can be ignored/legacy
DOI: 10.21227/1mca-qc20
title: NILM Data-Set for Varying Operating Voltages

description: Globally building sector energy consumption is increasing rapidly. Improving building energy efficiency is essential for sustainability. Load monitoring provides detailed consumption feedback to enable consumers to save energy. Non-Intrusive Load Monitoring (NILM) is a cost-effective way to identify individual appliance energy consumption from aggregate energy consumption. Machine learning-based NILM techniques have been proposed in the literature to accurately identify appliances.In the real-world, the operating conditions may vary from training conditions affecting the performance of supervised NILM techniques. The performance of supervised NILM techniques degrades in presence of data variations due to noise, sensor drift, or source voltage fluctuations. This study evaluates the performance of supervised event detection and appliance identification techniques under varying operating voltages. An automated setup captures the aggregate consumption data of various home appliances. We employ steady state-supervised event detection and appliance identification using standard learning algorithms such as K-NN, Naive Bayes, Decision Tree, and Random Forest.The results show that varying voltage data significantly affects the performance of classifiers. We also evaluate mitigation strategies such as normalization, feature selection, and class balancing for improving classifiers. Insights from the experimental results help in developing robust NILM systems that can overcome the effects of data variations.
DOI: 10.21227/9be1-sh37
title: NILM Data-Set for Varying Operating Voltages

description: Globally building sector energy consumption is increasing rapidly. Improving building energy efficiency is essential for sustainability. Load monitoring provides detailed consumption feedback to enable consumers to save energy. Non-Intrusive Load Monitoring (NILM) is a cost-effective way to identify individual appliance energy consumption from aggregate energy consumption. Machine learning-based NILM techniques have been proposed in the literature to accurately identify appliances.In the real-world, the operating conditions may vary from training conditions affecting the performance of supervised NILM techniques. The performance of supervised NILM techniques degrades in presence of data variations due to noise, sensor drift, or source voltage fluctuations. This study evaluates the performance of supervised event detection and appliance identification techniques under varying operating voltages. An automated setup captures the aggregate consumption data of various home appliances. We employ steady state-supervised event detection and appliance identification using standard learning algorithms such as K-NN, Naive Bayes, Decision Tree, and Random Forest.The results show that varying voltage data significantly affects the performance of classifiers. We also evaluate mitigation strategies such as normalization, feature selection, and class balancing for improving classifiers. Insights from the experimental results help in developing robust NILM systems that can overcome the effects of data variations.
DOI: 10.21227/ac2n-he18
title: NILM Data-Set for Varying Operating Voltages

description: Globally building sector energy consumption is increasing rapidly. Improving building energy efficiency is essential for sustainability. Load monitoring provides detailed consumption feedback to enable consumers to save energy. Non-Intrusive Load Monitoring (NILM) is a cost-effective way to identify individual appliance energy consumption from aggregate energy consumption. Machine learning-based NILM techniques have been proposed in the literature to accurately identify appliances.In the real-world, the operating conditions may vary from training conditions affecting the performance of supervised NILM techniques. The performance of supervised NILM techniques degrades in presence of data variations due to noise, sensor drift, or source voltage fluctuations. This study evaluates the performance of supervised event detection and appliance identification techniques under varying operating voltages. An automated setup captures the aggregate consumption data of various home appliances. We employ steady state-supervised event detection and appliance identification using standard learning algorithms such as K-NN, Naive Bayes, Decision Tree, and Random Forest.The results show that varying voltage data significantly affects the performance of classifiers. We also evaluate mitigation strategies such as normalization, feature selection, and class balancing for improving classifiers. Insights from the experimental results help in developing robust NILM systems that can overcome the effects of data variations.
DOI: 10.21227/s03z-3z51
title: South Asian Website Privacy Policy Dataset

description: This dataset contains a list of popular websites and their privacy statements. The websites belong to the three largest South Asian economies, namely, India, Pakistan, and Bangladesh. Each website is categorized into 10 sectors, namely, e-commerce, finance/banking, education, healthcare, news, government, telecom, buy and sell, job/freelance, blogging/discussion. We hope that this dataset will help researchers in investigating website privacy compliance.
DOI: 10.21227/8mrx-3v89
title: South Asian Website Privacy Policy Dataset

description: This dataset contains a list of popular websites and their privacy statements. The websites belong to the three largest South Asian economies, namely, India, Pakistan, and Bangladesh. Each website is categorized into 10 sectors, namely, e-commerce, finance/banking, education, healthcare, news, government, telecom, buy and sell, job/freelance, blogging/discussion. We hope that this dataset will help researchers in investigating website privacy compliance.
DOI: 10.21227/b4e9-5171
title: South Asian Website Privacy Policy Dataset

description: This dataset contains a list of popular websites and their privacy statements. The websites belong to the three largest South Asian economies, namely, India, Pakistan, and Bangladesh. Each website is categorized into 10 sectors, namely, e-commerce, finance/banking, education, healthcare, news, government, telecom, buy and sell, job/freelance, blogging/discussion. We hope that this dataset will help researchers in investigating website privacy compliance.
DOI: 10.21227/ts5z-pj64
title: South Asian Website Privacy Policy Dataset

description: This dataset contains a list of popular websites and their privacy statements. The websites belong to the three largest South Asian economies, namely, India, Pakistan, and Bangladesh. Each website is categorized into 10 sectors, namely, e-commerce, finance/banking, education, healthcare, news, government, telecom, buy and sell, job/freelance, blogging/discussion. We hope that this dataset will help researchers in investigating website privacy compliance.
DOI: 10.5517/ccdc.csd.cc1zyj9r
title: CCDC 1845625: Experimental Crystal Structure Determination

description: Related Article: Moideen Musthafa, Ramaiah Konakanchi, Rakesh Ganguly, Perumal Pandikumar, Anandaram Sreekanth|2020|Res.Chem.Intermed.|46|3853|doi:10.1007/s11164-020-04177-w
DOI: 10.5517/ccdc.csd.cc20r420
title: CCDC 1869271: Experimental Crystal Structure Determination

description: Related Article: Moideen Musthafa, Ramaiah Konakanchi, Rakesh Ganguly, Perumal Pandikumar, Anandaram Sreekanth|2020|Res.Chem.Intermed.|46|3853|doi:10.1007/s11164-020-04177-w
DOI: 10.21227/h908-gn53
title: South Asian Website Privacy Policy Dataset

description: This dataset contains a list of popular websites and their privacy statements. The websites belong to the three largest South Asian economies, namely, India, Pakistan, and Bangladesh. Each website is categorized into 10 sectors, namely, e-commerce, finance/banking, education, healthcare, news, government, telecom, buy and sell, job/freelance, blogging/discussion. We hope that this dataset will help researchers in investigating website privacy compliance.
DOI: 10.21227/fkap-re05
title: South Asian Website Privacy Policy Dataset

description: This dataset contains a list of popular websites and their privacy statements. The websites belong to the three largest South Asian economies, namely, India, Pakistan, and Bangladesh. Each website is categorized into 10 sectors, namely, e-commerce, finance/banking, education, healthcare, news, government, telecom, buy and sell, job/freelance, blogging/discussion. We hope that this dataset will help researchers in investigating website privacy compliance.
DOI: 10.21227/dckh-zp40
title: South Asian Website Privacy Policy Dataset

description: This dataset contains a list of popular websites and their privacy statements. The websites belong to the three largest South Asian economies, namely, India, Pakistan, and Bangladesh. Each website is categorized into 10 sectors, namely, e-commerce, finance/banking, education, healthcare, news, government, telecom, buy and sell, job/freelance, blogging/discussion. We hope that this dataset will help researchers in investigating website privacy compliance.
DOI: 10.21227/xtpt-yn45
title: South Asian Website Privacy Policy Dataset

description: This dataset contains a list of popular websites and their privacy statements. The websites belong to the three largest South Asian economies, namely, India, Pakistan, and Bangladesh. Each website is categorized into 10 sectors, namely, e-commerce, finance/banking, education, healthcare, news, government, telecom, buy and sell, job/freelance, and blogging/discussion. We hope that this dataset will help researchers in investigating website privacy compliance.
DOI: 10.14457/cmu.the.2000.123
title: การศึกษาเพื่อหาสภาวะที่เหมาะสมของการกำจัดสีย้อมรีแอกตีฟออกจากน้ำเสียย้อมผ้าบาติกโดยรีเอเจนท์ของเฟนตอน
DOI: 10.14457/cmu.the.2000.124
title: การพัฒนาตัวก่อกำเนิดโปรแกรมสำหรับระบบควบคุมที่ใช้พีแอลซี
DOI: 10.14457/cmu.the.2000.125
title: บทบาทของบิดามารดาต่อการเตรียมความพร้อมในการเผชิญปัญหาเกี่ยวกับการมีเพศสัมพันธ์ของวัยรุ่นในอำเภอเมืองเชียงใหม่
DOI: 10.14457/cmu.the.2000.126
title: การจัดการความขัดแย้งในป่าชุมชนของชาวปกาเกอญอในจังหวัดแม่ฮ่องสอน
DOI: 10.14457/cmu.the.2000.127
title: การเปรียบเทียบวิธีเตรียมตัวอย่างโดยการย่อยสลายเปียกและการเผาแห้งก่อนการวิเคราะห์ปริมาณซิลิเนียมในนม โดยเทคนิคไฮไดรด์เจเนอเรชันอะตอมมิคแอบซอร์พชันสเปกโทรโฟเมตรี
DOI: 10.14457/cmu.the.2001.328
title: การประเมินผลการพัฒนาทักษะการอ่านและเขียนภาษาอังกฤษและความสามารถในการประเมินตนเองของนักเรียนชั้นมัธยมศึกษาโดยใช้แฟ้มสะสมงาน
DOI: 10.14457/cmu.the.2001.329
title: พฤติกรรมมารดาที่คลอดทารกน้ำหนักน้อยในโรงพยาบาลแม่และเด็ก ศูนย์ส่งเสริมสุขภาพเขต 10 จังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2001.330
title: ผลของปูนกรอกต่อพฤติกรรมของกำแพงคอนกรีตบล็อกรับน้ำหนักบรรทุกกระทำเป็นจุด
DOI: 10.14457/cmu.the.2001.331
title: ปัจจัยทางสังคมที่มีผลต่อพฤติกรรมเสี่ยงต่อการติดเชื้อเอดส์
DOI: 10.14457/cmu.the.2001.332
title: ความสามารถการปรับตัวของสายพันธุ์ข้าวบาร์เลย์ต่อสภาพน้ำท่วมขัง
DOI: 10.14457/cmu.the.2001.333
title: ความสัมพันธ์ระหว่างสมรรถภาพสมองด้านความจำชั่วขณะและความจำระยะยาวทางภาษาในรูปแบบต่างๆ ตามทฤษฎีโครงสร้างทางสมองของกิลฟอร์ดกับผลสัมฤทธิ์ทางการเรียนวิชาภาษาอังกฤษของนักเรียนชั้นประถมศึกษาปีที่ 5
DOI: 10.14457/cmu.the.2000.128
title: การถ่ายโอนอำนาจจากรัฐบาลส่วนกลางและส่วนภูมิภาคสู่ท้องถิ่น : กรณีศึกษา ปฏิสัมพันธ์ระหว่างการควบคุมของส่วนกลาง ศักยภาพของท้องถิ่น และการมีส่วนร่วมของประชาชน
DOI: 10.14457/cmu.the.2000.129
title: การพัฒนาวิธีการหาค่าไอโอดีนของน้ำมันพืชบริโภคและการหาปริมาณแอนติออกซิแดนท์ในน้ำผลไม้
DOI: 10.14457/cmu.the.2000.130
title: ผลของการฟังเสียงดนตรีที่มีต่อระดับสติปัญญาและความสามารถทางด้านสติปัญญาของนักเรียนชั้นอนุบาล
DOI: 10.14457/cmu.the.2000.131
title: ผลการสอนแบบบูรณาการของเมอร์ดอชที่มีต่อความเข้าใจและความสนใจในการอ่านของนักศึกษาระดับประกาศนียบัตรวิชาชีพชั้นปีที่ 1
DOI: 10.21227/0mcw-8805
title: South Asian Website Privacy Policy Dataset

description: This dataset contains a list of popular websites and URLs to their privacy statements. The websites belong to the three largest South Asian economies, namely, India, Pakistan, and Bangladesh. Each website is categorized into 10 sectors, namely, e-commerce, finance/banking, education, healthcare, news, government, telecom, buy and sell, job/freelance, and blogging/discussion. We hope that this dataset will help researchers in investigating website privacy compliance.
DOI: 10.18112/openneuro.ds003058.v1.0.0
title: Assesment of the visual stimuli properties in P300 paradigm
DOI: 10.5281/zenodo.3967299
title: Datasets used in the publication "Trends in Winter Light Environment Over the Arctic Ocean..."

description: These are datasets accompanying the publication DOI:10.1029/2020GL089037. For each year and for every pixel in a daily time series of OC-CCI v3.1 Chlorophyll at 4 km resolution, the first day (Ts) (in Day of Year) when a valid chlorophyll value appears in the data set is identified. A valid pixel implies that the satellite sensor has detected open water with clear skies. Te denotes the last day in the year when there is a valid chlorophyll value in the data set. For each year, the open‐water duration for the pixel is computed as D = Te − Ts. The file <strong>Ts_Te_D_statistics_OC-CCI.nc</strong> contains all data needed to generate figures 1-2, and panels A-C in figure 3. The file <strong>Ts_Te_D_statistics_SeaIce-CCI.n</strong>c contains all data needed to generate panels D-F in figure 3. The file <strong>PAR_Chl_first_last_day.nc</strong> contains all data needed to generate figure 4
DOI: 10.5281/zenodo.3967298
title: Datasets used in the publication "Trends in Winter Light Environment Over the Arctic Ocean..."

description: These are datasets accompanying the publication DOI:10.1029/2020GL089037. For each year and for every pixel in a daily time series of OC-CCI v3.1 Chlorophyll at 4 km resolution, the first day (Ts) (in Day of Year) when a valid chlorophyll value appears in the data set is identified. A valid pixel implies that the satellite sensor has detected open water with clear skies. Te denotes the last day in the year when there is a valid chlorophyll value in the data set. For each year, the open‐water duration for the pixel is computed as D = Te − Ts. The file <strong>Ts_Te_D_statistics_OC-CCI.nc</strong> contains all data needed to generate figures 1-2, and panels A-C in figure 3. The file <strong>Ts_Te_D_statistics_SeaIce-CCI.n</strong>c contains all data needed to generate panels D-F in figure 3. The file <strong>PAR_Chl_first_last_day.nc</strong> contains all data needed to generate figure 4
DOI: 10.5517/ccdc.csd.cc21n3kd
title: CCDC 1896163: Experimental Crystal Structure Determination

description: Related Article: М. S. Grigoriev, A. M. Fedoseev|2019|Conference|||