cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13309418
title: Synergistic effects of torrefaction pretreatment and Mg-Al modified HZSM-5 catalysts on the components distribution in the bio-oils from camphor wood pyrolysis.docx

description: The pyrolysis temperature was 450℃. The torrefaction temperature was 200℃. The catalysts were HZSM-5, MgO-modified HZSM-5, and Al<sub>2</sub>O<sub>3</sub>-modified HZSM-5, respectively. The bio-oil contained various high-value chemicals, such as phenols, aldehydes, sugars, ketones, hydrocarbons, alcohols, and lipids. The content of phenols in bio-oil was the highest among all the chemical components. The content of phenols was the highest at pyrolysis temperature of 450℃ and torrefaction temperature of 200℃, leading to a content of 31.46%. The torrafaction pretreatment and catalysts could all improve the production of the aldehydes. The content of sugars reached the highest using HZSM-5 as the catalyst, 10.38%. The Al<sub>2</sub>O<sub>3</sub>-modified HZSM proved the content of ketones. The content of lipids was lower than the other six compounds, and the content of lipids was highest at high temperatures (4.27%).
DOI: 10.6084/m9.figshare.13309418.v1
title: Synergistic effects of torrefaction pretreatment and Mg-Al modified HZSM-5 catalysts on the components distribution in the bio-oils from camphor wood pyrolysis.docx

description: The pyrolysis temperature was 450℃. The torrefaction temperature was 200℃. The catalysts were HZSM-5, MgO-modified HZSM-5, and Al<sub>2</sub>O<sub>3</sub>-modified HZSM-5, respectively. The bio-oil contained various high-value chemicals, such as phenols, aldehydes, sugars, ketones, hydrocarbons, alcohols, and lipids. The content of phenols in bio-oil was the highest among all the chemical components. The content of phenols was the highest at pyrolysis temperature of 450℃ and torrefaction temperature of 200℃, leading to a content of 31.46%. The torrafaction pretreatment and catalysts could all improve the production of the aldehydes. The content of sugars reached the highest using HZSM-5 as the catalyst, 10.38%. The Al<sub>2</sub>O<sub>3</sub>-modified HZSM proved the content of ketones. The content of lipids was lower than the other six compounds, and the content of lipids was highest at high temperatures (4.27%).
DOI: 10.14457/cmu.the.2001.450
title: ผลการเรียนซ่อมเสริม 2 รูปแบบ จากบทเรียนคอมพิวเตอร์ช่วยสอนในวิชาคณิตศาสตร์ของนักเรียนชั้นมัธยมศึกษาปีที่ 1 โรงเรียนศึกษาสงเคราะห์ตาก
DOI: 10.14457/cmu.the.2001.451
title: อัตมโนทัศน์และพฤติกรรมความปลอดภัยของนักศึกษาวิทยาลัยเทคนิค สังกัดกรมอาชีวศึกษา เขตการศึกษา 8
DOI: 10.14457/cmu.the.2001.452
title: การผลิตในระบบเกษตรกรรมทางเลือก
DOI: 10.14457/cmu.the.2001.453
title: การติดเชื้อในโรงพยาบาลของผู้ป่วยที่ได้รับสารอาหารแบบสมบูรณ์ทางหลอดเลือดดำ โรงพยาบาลมหาราชนครเชียงใหม่
DOI: 10.14457/cmu.the.2001.454
title: แนวทางการมีส่วนร่วมของชุมชนในการบริหารโรงเรียนประถมศึกษาตามทัศนะของบุคลากรในชุมชนอำเภอแม่แจ่ม จังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2001.455
title: พฤกษศาสตร์พื้นบ้านของชาวเขาเผ่าถิ่นในตำบลดงพญา อำเภอบ่อเกลือ จังหวัดน่าน
DOI: 10.14457/cmu.the.2001.456
title: การประมาณค่าสัมประสิทธิ์พันธุกรรมข้าวโพดลูกผสมของไทยสำหรับแบบจำลองการเจริญเติบโตของข้าวโพด CERES-Maize
DOI: 10.14457/cmu.the.2001.457
title: สถานการณ์ที่ก่อให้เกิดภาวะเครียดในผู้ป่วยตามการรับรู้ของผู้ป่วยและพยาบาลในหน่วยวิกฤตศัลยกรรม
DOI: 10.14457/cmu.the.2001.458
title: การประเมินผลการบริบาลทางเภสัชกรรมสำหรับผู้ป่วยบนหอผู้ป่วยอายุรกรรมหญิง โรงพยาบาลลำพูน
DOI: 10.14457/cmu.the.2001.459
title: การอบแห้งลำไยแบบแกะเปลือกด้วยเครื่องอบแห้งแบบสลับทิศทางลมร้อน
DOI: 10.14457/cmu.the.2001.460
title: นิเวศวิทยาและพฤติกรรมทางสังคมของชะนีมือขาว (Hylobates lar) ที่สถานีพัฒนาและส่งเสริมการอนุรักษ์สัตว์ป่าถ้ำน้ำลอด จังหวัดแม่ฮ่องสอน
DOI: 10.14457/cmu.the.2001.461
title: การประเมินคุณค่าทางอาหารและปริมาณการกินต้นถั่วเหลืองแห้งและเปลือกฝักของสัตว์เคี้ยวเอื้อง
DOI: 10.14457/cmu.the.2001.462
title: การจัดกิจกรรมส่งเสริมความสามารถด้านอ่านตามแนวการสอนภาษาแบบธรรมชาติ สำหรับนักเรียนชั้นอนุบาลปีที่ 2
DOI: 10.14457/cmu.the.2001.463
title: การใช้วิธีวิจัยเชิงระบบเพื่อวิเคราะห์อิทธิพลของปัจจัยต่อผลผลิตและคุณภาพการสีของข้าว
DOI: 10.14457/cmu.the.2001.464
title: การเคลือบไนไตรด์บนเหล็กกล้าทางการค้า
DOI: 10.14457/cmu.the.2000.328
title: ปัจจัยที่ส่งเสริมและที่เป็นอุปสรรคต่อความสัมพันธ์อันดีระหว่างประเทศไทยและสาธารณรัฐประชาธิปไตยประชาชนลาว : การศึกษาเชิงสังคม-จิตวิทยา ทางความสัมพันธ์ระหว่างประเทศ
DOI: 10.14457/cmu.the.2001.465
title: ปัจจัยที่มีผลต่อการสร้างหัวย่อยของแกลดิโอลัส
DOI: 10.14457/cmu.the.2001.466
title: การเตรียมและการตรึงไธออลโปรติเอสจากยางมะละกอพันธุ์พื้นเมือง
DOI: 10.14457/cmu.the.2001.467
title: การประหยัดพลังงานในเครื่องอบแห้งแบบปั๊มความร้อนโดยใช้เทอร์โมไซฟอนแบบวงรอบ
DOI: 10.14457/cmu.the.2001.468
title: การวิเคราะห์หลักสูตรพุทธศาสตรบัณฑิต วิชาเอกสังคมศึกษา คณะครุศาสตร์ มหาวิทยาลัยมหาจุฬาลงกรณราชวิทยาลัย วิทยาเขตเชียงใหม่
DOI: 10.14457/cmu.the.2001.469
title: การใช้กิจกรรมประสบการณ์ทางภาษาเพื่อส่งเสริมความสามารถทางการอ่านภาษาอังกฤษ ความสามารถทางการเขียนเชิงสร้างสรรค์ และแรงจูงใจใฝ่สัมฤทธิ์ของนักเรียนชั้นมัธยมศึกษาปีที่ 1
DOI: 10.14457/cmu.the.2000.329
title: ศักยภาพและปัญหาของการท่องเที่ยวเกษตรในจังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2000.330
title: การสร้างรูปแบบแฟ้มสะสมงานวิชาประสบการณ์และทักษะทางพืชศาสตร์ สำหรับนักเรียนโครงการปฏิรูปการศึกษาเกษตรเพื่อชีวิตในวิทยาลัยเกษตรและเทคโนโลยีเชียงใหม่
DOI: 10.14457/cmu.the.2001.470
title: การใช้กลวิธีการอ่านแบบร่วมมือเพื่อส่งเสริมความเข้าใจในการอ่าน และทักษะทางสังคมของนักเรียนระดับมัธยมศึกษาปีที่ 4
DOI: 10.14457/cmu.the.2001.471
title: ระบบสะสมน้ำแข็งโดยใช้อีวาปอเรเตอร์แบบสัมผัสโดยตรงสำหรับห้องปรับสภาวะอากาศ
DOI: 10.14457/cmu.the.2001.472
title: ผลการใช้บทเรียนคอมพิวเตอร์ช่วยสอนเพื่อเตรียมความพร้อมวิชาคณิตศาสตร์ สำหรับนักเรียนชั้นประถมศึกษาปีที่ 5
DOI: 10.14457/cmu.the.2000.331
title: ความคิดเห็นของเกษตรกรต่อการเลี้ยงกุ้งในจังหวัดสมุทรสงคราม
DOI: 10.25345/c54z25
title: MassIVE MSV000086538 - Palythoa caribaeorum extracts from Veracruz Mexico
title: Palythoa caribaeorum was collected at Veracruz, Mexico. Palythoa venom was extracted manually with water. Subsequently, the venom was centrifuged, the supernatant obtained was dried. The dried supernatant was resuspended and ultracentrifugated with a 3 kDa membrane then the filtrate was dried again and then resuspended with methanol to eliminate excess salts. The methanol was evaporated and resuspended with mobile phase (H2O+0.01%F.A.). The rest of the organism was ground and extracted with water, successively with hexane, ethyl acetate, and ethanol. The ethyl acetate and ethanol samples were analyzed with Triple TOF AB Sciex 5600.
DOI: 10.17608/k6.auckland.13115888
title: Hadden Gentoo penguin chick micro CT scleral ring detail

description: This DOI contains the micro CT dataset of a scleral ring from a gentoo penguin (<i>Pygoscelis papua</i>) chick descended from penguins collected on South Georgia.
DOI: 10.5281/zenodo.4299218
title: PeeringDB capacity graph

description: PeeringDB capacity graph generated from CAIDA daily dumps of peeringDB. Graph files are stored in a weighted edgelist format in the directory graph/ under the name<br> `{beta_H}_{beta_M}_peeringdb_2_dump_YYYY_MM_DD.txt`<br> The nodes integer label is either a positive number for ASN or a negative number attributed to IXPs. Metadata on nodes are stored in net/ for a AS nodes and ix/ for a IXP node in the format.<br> There is also a most concise view of PeeringDB capacity graph nodes in the nodes/ directory.<br> `peeringdb_2_dump_YYYY_MM_DD.pickle`<br> These binary files are DataFrame (Pandas python library).
description: In order to read a pickle file named "to_pickle.pickle" in python ```python import pickle pickle_in = open("to_pickle.pickle", "rb") df = pickle.load(pickle_in) pickle_in.close() ``` It can be exported to CSV with the code with `df.to_csv("filename.csv")`
DOI: 10.5281/zenodo.4299217
title: PeeringDB capacity graph

description: PeeringDB capacity graph generated from CAIDA daily dumps of peeringDB. Graph files are stored in a weighted edgelist format in the directory graph/ under the name<br> `{beta_H}_{beta_M}_peeringdb_2_dump_YYYY_MM_DD.txt`<br> The nodes integer label is either a positive number for ASN or a negative number attributed to IXPs. Metadata on nodes are stored in net/ for a AS nodes and ix/ for a IXP node in the format.<br> There is also a most concise view of PeeringDB capacity graph nodes in the nodes/ directory.<br> `peeringdb_2_dump_YYYY_MM_DD.pickle`<br> These binary files are DataFrame (Pandas python library).
description: In order to read a pickle file named "to_pickle.pickle" in python ```python import pickle pickle_in = open("to_pickle.pickle", "rb") df = pickle.load(pickle_in) pickle_in.close() ``` It can be exported to CSV with the code with `df.to_csv("filename.csv")`
DOI: 10.17608/k6.auckland.13213907
title: Hadden Gentoo penguin chick micro CT scleral ring

description: This DOI contains micro CT dataset of a scleral ring from a gentoo penguin chick (<i>Pygoscelis papua</i>) descended from penguins collected from South Georgia.<br>
DOI: 10.17608/k6.auckland.12924753
title: Hadden yellow-eyed penguin (AV 1181 C) micro CT scleral ring

description: This DOI contains the micro CT stack of a scleral ring from a yellow-eyed penguin (<i>Megadyptes antipodes</i>) in the collection of Otago Museum, Dunedin, ID AV1181 C.<br>
DOI: 10.6084/m9.figshare.13309427.v1
title: FL SaOatA digest raw MS data

description: Raw peptide MS data for full-length SaOatA digests
DOI: 10.6084/m9.figshare.13309463.v1
title: Full length SaOatA peptide library search results

description: PEAKS X Pro peptide library search results for full-length SaOatA digests
DOI: 10.17608/k6.auckland.12924734
title: Hadden Snares crested penguin (AV 10449 A) micro CT scleral ring

description: This DOI contains the micro CT stack of the scleral ring from a Snares crested penguin (<i>Eudyptes robustus</i>) in the collection of Otago Museum, Dunedin, collection ID AV 10449 A.<br>
DOI: 10.6084/m9.figshare.12859988
title: Msa.protein.fa

description: A chromosome-scale genome assembly of a diploid alfalfa, the progenitor of autotetraploid alfalfa
DOI: 10.6084/m9.figshare.12859982
title: Msa.genomic.gff

description: A chromosome-scale genome assembly of a diploid alfalfa, the progenitor of autotetraploid alfalfa
DOI: 10.6084/m9.figshare.12859889
title: Medicago sativa.genomic.fa.zip

description: A chromosome-scale genome assembly of a diploid alfalfa, the progenitor of autotetraploid alfalfa
DOI: 10.6084/m9.figshare.13309529
title: Table S3.1

description: Sequence identifiers, AMR and PCR data for WWTP isolates (Thesis Table S3.1)
DOI: 10.6084/m9.figshare.13309529.v1
title: Table S3.1

description: Sequence identifiers, AMR and PCR data for WWTP isolates (Thesis Table S3.1)
DOI: 10.6084/m9.figshare.13238501
title: Child development delay and pesticide Thailand

description: Dataset contains all the data on the study project of chlorpyrifos and other pesticides exposure and suspected developmental delay in children aged 0-5 year: a case-control study in Phitsanulok, Thailand<br>
DOI: 10.6084/m9.figshare.13238501.v1
title: Child development delay and pesticide Thailand

description: Dataset contains all the data on the study project of chlorpyrifos and other pesticides exposure and suspected developmental delay in children aged 0-5 year: a case-control study in Phitsanulok, Thailand<br>
DOI: 10.6084/m9.figshare.13238507
title: Questionnaire-child developmental delay and pesticide

description: Questionnaire using for the study project of Chlorpyrifos and other pesticide exposure and suspected developmental delay in children aged 0-5 year: a case-control study in Phitsanulok, Thailand
DOI: 10.6084/m9.figshare.13238507.v1
title: Questionnaire-child developmental delay and pesticide

description: Questionnaire using for the study project of Chlorpyrifos and other pesticide exposure and suspected developmental delay in children aged 0-5 year: a case-control study in Phitsanulok, Thailand
DOI: 10.5281/zenodo.4299330
title: mini CURE-OR

description: <strong>File descriptions</strong> <strong>train.zip </strong>- the training set <strong>test.zip </strong>- the test set <strong>train.csv</strong> - the ground truth for the training images with the following information: <em>imageID, class, background, perspective, challengeType, challengeLevel</em> <strong>test.csv</strong> - the ground truth for the training images with the following information: imageID, class, background, perspective, challengeType, challengeLevel <strong>Data fields</strong> <strong>imageID </strong>- an anonymous id unique to a given image <strong>class </strong>- the class of the object in the given image: 1-10 1: Canon camera 2: Training marker cone 3: Baseball 4: Pan 5: Toy 6: LG Cell phone 7: Hair brush 8: DYMO Label maker 9: Calcium bottle 10: Shoes <strong>background </strong>- the background of the object 1: 2D white 2: 2D living room 3: 2D kitchen <strong>perspective </strong>- the perspective/orientation of the object 1: Front 2: Left side - 90 degrees 3: Back - 180 degrees 4: Right side - 270 degrees 5: Top <strong>challengeType </strong>- the type of generated challenging conditions 01: No challenge 02: Resize 03: Underexposure 04: Overexposure 05: Gaussian blur 06: Contrast 07: Dirty lens 1 08: Dirty lens 2 09: Salt & pepper noise 10: Grayscale 11: Grayscale resize 12: Grayscale underexposure 13: Grayscale overexposure 14: Grayscale gaussian blur 15: Grayscale contrast 16: Grayscale dirty lens 1 17: Grayscale dirty lens 2 18: Grayscale salt & pepper noise <strong>challengeLevel </strong>- the level of generated challenging conditions 0: No challenge (01) and Grayscale (10) only - no challenge level 1 - 4: the degree of a challenge from least to most For more information about CURE-OR dataset, please refer to the webpage.
description: {"references": ["D. Temel*, J. Lee*, and G. AlRegib, \"CURE-OR: Challenging Unreal and Real Environments for Object Recognition,\" in IEEE International Conference on Machine Learning and Applications (ICMLA), Orlando, FL, Dec. 2018", "D. Temel*, J. Lee*, and G. AlRegib, \"Object Recognition Under Multifarious Conditions: A Reliability Analysis and a Feature Similarity-Based Performance Estimation,\" in IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, Sep. 2019"]}
DOI: 10.5281/zenodo.4268900
title: mini CURE-OR

description: <strong>File descriptions</strong> <strong>train.zip </strong>- the training set <strong>test.zip </strong>- the test set <strong>train.csv</strong> - the ground truth for the training images with the following information: <em>imageID, class, background, perspective, challengeType, challengeLevel</em> <strong>test.csv</strong> - the ground truth for the training images with the following information: imageID, class, background, perspective, challengeType, challengeLevel <strong>Data fields</strong> <strong>imageID </strong>- an anonymous id unique to a given image <strong>class </strong>- the class of the object in the given image: 1-10 1: Canon camera 2: Training marker cone 3: Baseball 4: Pan 5: Toy 6: LG Cell phone 7: Hair brush 8: DYMO Label maker 9: Calcium bottle 10: Shoes <strong>background </strong>- the background of the object 1: 2D white 2: 2D living room 3: 2D kitchen <strong>perspective </strong>- the perspective/orientation of the object 1: Front 2: Left side - 90 degrees 3: Back - 180 degrees 4: Right side - 270 degrees 5: Top <strong>challengeType </strong>- the type of generated challenging conditions 01: No challenge 02: Resize 03: Underexposure 04: Overexposure 05: Gaussian blur 06: Contrast 07: Dirty lens 1 08: Dirty lens 2 09: Salt & pepper noise 10: Grayscale 11: Grayscale resize 12: Grayscale underexposure 13: Grayscale overexposure 14: Grayscale gaussian blur 15: Grayscale contrast 16: Grayscale dirty lens 1 17: Grayscale dirty lens 2 18: Grayscale salt & pepper noise <strong>challengeLevel </strong>- the level of generated challenging conditions 0: No challenge (01) and Grayscale (10) only - no challenge level 1 - 4: the degree of a challenge from least to most For more information about CURE-OR dataset, please refer to the webpage.
description: {"references": ["D. Temel*, J. Lee*, and G. AlRegib, \"CURE-OR: Challenging Unreal and Real Environments for Object Recognition,\" in IEEE International Conference on Machine Learning and Applications (ICMLA), Orlando, FL, Dec. 2018", "D. Temel*, J. Lee*, and G. AlRegib, \"Object Recognition Under Multifarious Conditions: A Reliability Analysis and a Feature Similarity-Based Performance Estimation,\" in IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, Sep. 2019"]}
DOI: 10.5281/zenodo.4292746
title: Datos de los contaminantes del aire tomado de la estación de monitoreo las Ferias, Bogotá 2009 - 2020.

description: Base de datos de los diferentes contaminantes atmosféricos generados por la fuentes fijas y móviles de la ciudad de Bogotá, Colombia.
DOI: 10.5281/zenodo.4292745
title: Datos de los contaminantes del aire tomado de la estación de monitoreo las Ferias, Bogotá 2009 - 2020.

description: Base de datos de los diferentes contaminantes atmosféricos generados por la fuentes fijas y móviles de la ciudad de Bogotá, Colombia.
DOI: 10.5519/qd.ughg3lmd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (102 records)
DOI: 10.5517/ccdc.csd.cc256wgr
title: CCDC 2002614: Experimental Crystal Structure Determination

description: Related Article: Yue Zheng, Xia Zhao, Xiujuan Qi, Kangcai Wang, Tianlin Liu|2020|Energetic Materials Frontiers|1|83|doi:10.1016/j.enmf.2020.08.004
DOI: 10.5517/ccdc.csd.cc256whs
title: CCDC 2002615: Experimental Crystal Structure Determination

description: Related Article: Yue Zheng, Xia Zhao, Xiujuan Qi, Kangcai Wang, Tianlin Liu|2020|Energetic Materials Frontiers|1|83|doi:10.1016/j.enmf.2020.08.004
DOI: 10.5517/ccdc.csd.cc256wjt
title: CCDC 2002616: Experimental Crystal Structure Determination

description: Related Article: Yue Zheng, Xia Zhao, Xiujuan Qi, Kangcai Wang, Tianlin Liu|2020|Energetic Materials Frontiers|1|83|doi:10.1016/j.enmf.2020.08.004
DOI: 10.5517/ccdc.csd.cc256wkv
title: CCDC 2002617: Experimental Crystal Structure Determination

description: Related Article: Yue Zheng, Xia Zhao, Xiujuan Qi, Kangcai Wang, Tianlin Liu|2020|Energetic Materials Frontiers|1|83|doi:10.1016/j.enmf.2020.08.004
DOI: 10.5517/ccdc.csd.cc25d6h9
title: CCDC 2007730: Experimental Crystal Structure Determination

description: Related Article: Jonathan De Tovar, Franck Rataboul, Laurent Djakovitch|2020|ChemCatChem|12|5797|doi:10.1002/cctc.202001253
DOI: 10.5517/ccdc.csd.cc25d6kc
title: CCDC 2007732: Experimental Crystal Structure Determination

description: Related Article: Jonathan De Tovar, Franck Rataboul, Laurent Djakovitch|2020|ChemCatChem|12|5797|doi:10.1002/cctc.202001253
DOI: 10.5517/ccdc.csd.cc26132g
title: CCDC 2026844: Experimental Crystal Structure Determination

description: Related Article: Han Vinh Huynh, Sara Shuen Hui Chia, Nicholas Yew Sheng Leong|2020|Organometallics|39|3999|doi:10.1021/acs.organomet.0c00587
DOI: 10.5517/ccdc.csd.cc2612zb
title: CCDC 2026841: Experimental Crystal Structure Determination

description: Related Article: Han Vinh Huynh, Sara Shuen Hui Chia, Nicholas Yew Sheng Leong|2020|Organometallics|39|3999|doi:10.1021/acs.organomet.0c00587
DOI: 10.5517/ccdc.csd.cc26130d
title: CCDC 2026842: Experimental Crystal Structure Determination

description: Related Article: Han Vinh Huynh, Sara Shuen Hui Chia, Nicholas Yew Sheng Leong|2020|Organometallics|39|3999|doi:10.1021/acs.organomet.0c00587
DOI: 10.5517/ccdc.csd.cc26131f
title: CCDC 2026843: Experimental Crystal Structure Determination

description: Related Article: Han Vinh Huynh, Sara Shuen Hui Chia, Nicholas Yew Sheng Leong|2020|Organometallics|39|3999|doi:10.1021/acs.organomet.0c00587
DOI: 10.5517/ccdc.csd.cc26133h
title: CCDC 2026845: Experimental Crystal Structure Determination

description: Related Article: Han Vinh Huynh, Sara Shuen Hui Chia, Nicholas Yew Sheng Leong|2020|Organometallics|39|3999|doi:10.1021/acs.organomet.0c00587
DOI: 10.21227/pxpz-qj14
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. 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.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 272,404 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.6084/m9.figshare.13310042
title: Figures and Tables

description: Raw data, tables, and figures used in manuscripts.
DOI: 10.6084/m9.figshare.13310042.v1
title: Figures and Tables

description: Raw data, tables, and figures used in manuscripts.
DOI: 10.6084/m9.figshare.13309409
title: Supplemental Table S1-S5

description: <b>All animal procedures were reviewed and approved by the Animal Care and Use Committee and were carried out in accordance with the Sichuan Agricultural University. A In consideration of the dysregulation of BA homeostasis was mainly occurred during the second or third trimester of pregnancy, this study was conducted from day 60 of gestation (G60) till farrowing (L0). VAN group was orally administered with vancomycin (20mg/kg diet), which was mixed with corn starch to 10 gram, from G60 to G114, while the control group (CON) orally received 10 gram corn starch. The feed intake from G60 to G90 was 2.45kg/d and thereafter 3.06kg/d. Blood samples of pregnant sows were collected from precaval vein every 7 to 8 days via catheters implanted at cephalic vein or via ear vein when catheters didn’t work after 12-hours fasting. In consideration of the barely faeces found at L0, maternal faeces were collected at G60, G90 and G105, respectively. Placental tissues, ileum tissues and fetal blood (umbilical cord vein) samples were collected after 8-hours fasting at G60 and G90, respectively, when pregnant swine were laparotomized and under deep isoflurane-induced anesthesia, and during parturition.</b> <b>Primary pig hepatocytes were isolated from 2~5 day old female pigs using 2-step perfusion method with a minor modification. Cell concentration was determined and 1.5 105 per well were plated in 24-well plates or 5 105 per well were plated in 6-well plates. Cells were grown in complete medium containing DMEM medium, 2.5% dextran-coated, charcoal-stripped fetal bovine serum.</b> <b>The total BA (TBA) was measured by the enzymatic cycling method assay kits in Model 3100 automatic biochemical analyzer (Hitachi, Tokyo, Japan). Bile acids profile was measured by UPLC-MS/MS.</b> <b>Estradiol was measured by estradiol radioimmunoassay KIT according to the manufacturer’s specifications.</b><b></b>