cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10431488
title: Havacılıkta Hibrit İtki Sistemleri ve Uygun Disli Kutusu Tasarımı
title: Hybrid Propulsion Systems in Aviation and Proper Gearbox Design

description: Hibrit sistemler incelenerek havacılıkta uygulanabilirliği arastırılarak seçilecekbir havacılık motorunun, seçilecek hibrit bir konfigürasyona dönüstürülmesi içinyapılması gereken değisiklikler tanımlanacaktır. Seçilen bir motor için mevcut arayüzlerkorunmak sartı ile seçilen elektrik motoruna uygun bir disli kutusu tasarımı yapılarakhibrit dönüsüm yapılması amaçlanmaktadır.Yapılan motor arastırmalarının ardından paket program aracılığı ile disli kutusutasarımı yapılacaktır. Hedef ağırlık içerisinde kalarak minimum isterlerin karsılanmasınayönelik tasarım çözümleri ve optimizasyonlar yapılarak en ideal tasarımın elde edilmesisağlanacaktır.Piyasadaki mevcut bir motora ait disli kutusu ve elektriksel parçaların tasarımgüncellenerek yakıt tüketimi ve ağırlık açısından daha avantajlı hibrit tasarımın yapılmasımümkündür. Elektronik parçalar hazır olarak tedarik edilebilir ancak disli kutusu tasarımımotora özeldir. Bu nedenle disli kutusu tasarımı hibrit dönüsüm için kritiktir.CD155 motoru için tasarlanan yeni disli kutusu ile rekabetçi bir ağırlıkta rekabetçibir saft çıkıs gücü elde edilebileceği görülmüstür. Disli kutusu ve elektrik motorundayapılacak parça bazlı detaylı çalısmalar ile toplam sistem ağırlığı azaltılarak daha da iyitasarımlar elde edilebilir.
description: By examining the hybrid systems, their applicability in aviation will beinvestigated and the changes that need to be made in order to convert an aviation engineto a selected hybrid configuration will be defined. Provided that the existing interfacesfor the motor are preserved, it is aimed to make a hybrid conversion by designing agearbox suitable for the selected electric motor.After the engine researches, gearbox design will be done with package program.By considering weight target, making design solutions and optimizations to meet theminimum requirements, it will be ensured that the most ideal design is obtained.It is possible to make a hybrid design that is more advantageous in terms of fuelconsumption and weight by updating the design of the gearbox and electrical parts of anexisting commercial engine. Electronic parts can be provided by suppliers as commercialoff the shelf part but gearbox design is special to engine. Because of that gearbox designis more crucial for hybrid conversation.It has been observed that a competitive shaft output power can be obtained at acompetitive weight with new gearbox designed for the CD155 engine. Even betterdesigns can be obtained by reducing the total system weight with detailed work on thegearbox and electric motor.
DOI: 10.25345/c5p55dt21
title: MassIVE MSV000093726 - proximity labeling tracks glucocorticiod receptor following stimulus in ALL model cells
title: GR is a steroid activated transcription factor that is expressed in every tissue of the body. In each of these tissues GR performs a distinct function by binding different regions of the genome to affect regulation of gene programs. We are interested in understanding how signals change the conformation of GR to direct binding to specific genomic sites and expression of key genes. We have spliced a small APEX2 enzyme into N-terminus of the GR receptor which will tag lysine residues of nearby proteins with biotin, given the right conditions. Thereafter biotin-tagged proteins can be enriched under stringent conditions using strepavidin magnetic beads. This experiment is designed to test correlations between enriched proteins and functional GR partners. Because GR can exist both inside outside the nucleus, we expect to find a different complement of neighboring proteins upon stimulation with dexamethasone and or KI.
DOI: 10.5281/zenodo.10431551
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Graziela Barroso, http://www.wikidata.org/entity/Q1791098. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1791098
DOI: 10.5281/zenodo.8035264
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Graziela Barroso, http://www.wikidata.org/entity/Q1791098. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1791098
DOI: 10.5281/zenodo.8035265
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Graziela Barroso, http://www.wikidata.org/entity/Q1791098. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1791098
DOI: 10.5281/zenodo.10294969
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Mary DeDecker, http://www.wikidata.org/entity/Q66782149. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q66782149
DOI: 10.5281/zenodo.10360014
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Mary DeDecker, http://www.wikidata.org/entity/Q66782149. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q66782149
DOI: 10.5281/zenodo.10431558
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Mary DeDecker, http://www.wikidata.org/entity/Q66782149. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q66782149
DOI: 10.5281/zenodo.10410790
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by George C. Steyskal, http://www.wikidata.org/entity/Q23068701. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q23068701
DOI: 10.5281/zenodo.10410791
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by George C. Steyskal, http://www.wikidata.org/entity/Q23068701. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q23068701
DOI: 10.5281/zenodo.10431559
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by George C. Steyskal, http://www.wikidata.org/entity/Q23068701. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q23068701
DOI: 10.5281/zenodo.10416737
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ralph Evelyn Drake-Brockman, http://www.wikidata.org/entity/Q110222595. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q110222595
DOI: 10.5281/zenodo.10416738
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ralph Evelyn Drake-Brockman, http://www.wikidata.org/entity/Q110222595. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q110222595
DOI: 10.5281/zenodo.10431561
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ralph Evelyn Drake-Brockman, http://www.wikidata.org/entity/Q110222595. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q110222595
DOI: 10.5281/zenodo.10429200
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by David S. Shetter, http://www.wikidata.org/entity/Q123986242. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q123986242
DOI: 10.5281/zenodo.10429201
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by David S. Shetter, http://www.wikidata.org/entity/Q123986242. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q123986242
DOI: 10.5281/zenodo.10431564
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by David S. Shetter, http://www.wikidata.org/entity/Q123986242. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q123986242
DOI: 10.34740/kaggle/dsv/7280501
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.6084/m9.figshare.24587171
title: Authentication of <i>Lavandula angustifolia</i> Mill. (Lamiaceae) essential oil using physical property, gas chromatography, enantiomeric selectivity, and stable isotope analyses

description: Authentic <i>Lavandula angustifolia</i> (lavender) essential oil samples (<i>n</i> = 41) were procured from six producing countries. Essential oils were analyzed to determine physical properties and to determine profiles and related data by GC/MS, GC/FID, enantioselective GC, and GC/IRMS. The current study identified 43 volatile compounds that were detected in all authentic lavender samples (<i>n</i> = 41), and which can be considered authentic markers. Enantiomeric ranges for 15 volatile compounds and stable isotope ranges for four prominent compounds were determined in authentic lavender. Authentic samples and associated data were used to assess the quality of commercially available lavender essential oil samples (<i>n</i> = 12). 75% of the commercial samples studied were adulterated,and 17 volatile compounds were detected in these samples which can be considered markers for adulteration. This study establishes the utility and importance of using a multifaceted analytical approach to differentiate quality and determine authenticity of lavender essential oil.
DOI: 10.6084/m9.figshare.24587171.v1
title: Authentication of <i>Lavandula angustifolia</i> Mill. (Lamiaceae) essential oil using physical property, gas chromatography, enantiomeric selectivity, and stable isotope analyses

description: Authentic <i>Lavandula angustifolia</i> (lavender) essential oil samples (<i>n</i> = 41) were procured from six producing countries. Essential oils were analyzed to determine physical properties and to determine profiles and related data by GC/MS, GC/FID, enantioselective GC, and GC/IRMS. The current study identified 43 volatile compounds that were detected in all authentic lavender samples (<i>n</i> = 41), and which can be considered authentic markers. Enantiomeric ranges for 15 volatile compounds and stable isotope ranges for four prominent compounds were determined in authentic lavender. Authentic samples and associated data were used to assess the quality of commercially available lavender essential oil samples (<i>n</i> = 12). 75% of the commercial samples studied were adulterated,and 17 volatile compounds were detected in these samples which can be considered markers for adulteration. This study establishes the utility and importance of using a multifaceted analytical approach to differentiate quality and determine authenticity of lavender essential oil.
DOI: 10.6084/m9.figshare.24878664
title: Global-scale k-means MSLP classification and evaluation, version 1

description: For a description, refer to the readme.txt file.
DOI: 10.6084/m9.figshare.24878664.v1
title: Global-scale k-means MSLP classification and evaluation, version 1

description: For a description, refer to the readme.txt file.
DOI: 10.6084/m9.figshare.23581794.v1
title: Andrade et al - Journal of Thermal Biology - Raw data.xlsx

description:  In order to promote transparency, we are making our data available.
DOI: 10.6084/m9.figshare.23581794
title: Andrade et al - Journal of Thermal Biology - Raw data.xlsx

description:  In order to promote transparency, we are making our data available.
DOI: 10.34740/kaggle/dsv/7280622
title: BBC News
DOI: 10.5517/ccdc.csd.cc2ft7bv
title: CCDC 2258577: Experimental Crystal Structure Determination

description: Related Article: Peng Xiong, Sergei I. Ivlev, Eric Meggers |2023|Nat. Catal.|6|1186|doi:10.1038/s41929-023-01050-y
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ft7cw
title: CCDC 2258578: Experimental Crystal Structure Determination

description: Related Article: Peng Xiong, Sergei I. Ivlev, Eric Meggers |2023|Nat. Catal.|6|1186|doi:10.1038/s41929-023-01050-y
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/7280808
title: WallStreetBets 2022
DOI: 10.6084/m9.figshare.24902871
title: Phylogenetic tree of the sect. <i>Celluloderma</i> of the genus <i>Pluteus</i>. The best tree from the ML and BI analysis of the nrITS dataset.

description: Phylogenetic tree of the sect. <i>Celluloderma</i> of the genus <i>Pluteus</i>. The best tree from the ML and BI analysis of the nrITS + TEF1-a dataset. The two values of internal nodes respectively represent the maximum likelihood bootstrap (MLBP)/Bayesian posterior probability (BIPP).
DOI: 10.6084/m9.figshare.24902871.v1
title: Phylogenetic tree of the sect. <i>Celluloderma</i> of the genus <i>Pluteus</i>. The best tree from the ML and BI analysis of the nrITS dataset.

description: Phylogenetic tree of the sect. <i>Celluloderma</i> of the genus <i>Pluteus</i>. The best tree from the ML and BI analysis of the nrITS + TEF1-a dataset. The two values of internal nodes respectively represent the maximum likelihood bootstrap (MLBP)/Bayesian posterior probability (BIPP).
DOI: 10.57841/casdc.0003289
title: 催化材料表面反应数据集
DOI: 10.21227/xcxb-n346
title: Dataset for loosely coupled hybrid scheduling of processing and communication in TSN-based IMA systems

description: This dataset serves loosely coupled hybrid scheduling of processing and communication for TSN-based IMA systems. It includes 8 experimental case configurations with 3 structures (mesh, ring and tree) and 3 scales (small, medium and large), and the cases are named with corresponding structure and scale, such as Mesh-structure Small-scale (MS) case, Mesh-structure Medium-scale (MM) case, Mesh-structure Large-scale (ML) case, Ring-structure Small-scale (RS) case, Ring-structure Medium-scale (RM) case, Ring-structure Large-scale (RL) case, Tree-structure Small-scale (TS) case, Tree-structure Medium-scale (TM) case, and Tree-structure Large-scale (TL) case, where MS case and RS case are the same. It also includes the detailed experimental results for scheduling designs based on these cases.
DOI: 10.14457/rmutk.the.2010.1
title: การศึกษาความพร้อมในการเรียนด้วยบทเรียนอีเลิร์นนิ่งของนักศึกษาระดับปริญาตรี มหาวิทยาลัยเทคโนโลยีราชมงคลกรุงเทพ กรณีศึกษา : ครุศาสตร์อุตสาหกรรม

description: การวิจัยครั้งนี้เป็นการวิจัยเชิงสำรวจเรื่องการศึกษาความพร้อมในการเรียนด้วยบทเรียนอีเลิร์นนิ่ง ของนักศึกษา ระดับปริญญาตรี มหาวิทยาลัยเทคโนโลยีราชมงคลกรุงเทพ กรณีศึกษา : คณะครุศาสตร์อุตสาหกรรม โดยมีวัตถุประสงค์เพื่อศึกษาความพร้อมและเปรียบเทียบความพร้อมในการเรียนด้วยบทเรียนอีเลิร์นนิ่งของนักศึกษา ระดับปริญญาตรีภาคปกติคณะครุศาสตร์อุตสาหกรรม มหาวิทยาลยัเทคโนโลยีราชมงคลกรุงเทพ ประชากรที่ใช้ในการวิจัยครั้งนี้คือ นักศึกษาคณะครุศาสตร์อุตสาหกรรม ระดับปริญญาตรีที่ได้ ลงทะเบียนในภาคเรียนที่ 2 ปี การศึกษา 2552 จำนวนทั้งสิ้น 617คน มีแบบสอบถามที่สมบูรณ์จำนวน 575 ชุด คิดเป็นร้อยละ 93.19 รวบรวมข้อมูลจากแบบสอบถามแบบประมาณค่า (Rating Scale) แล้วนำมาประมวล ข้อมูลด้วยโปรแกรมสำเร็จรูปทางสังคมศาสตร์สถิติที่ใช้ได้แก่ค่าร้อยละค่าเฉลี่ยค่าเบี่ยงเบนมาตรฐาน และ ทดสอบสมมุติฐานด้วย F-test (ANOVA) เปรียบเทียบความแตกต่างเฉลี่ยรายคู่ด้วยวิธี Scheffe’ 1. ผลการวิจัยครั้งนี้พบว่าผู้ตอบแบบสอบถามที่เป็นนักศึกษา ส่วนใหญ่เป็นนักศึกษาชายร้อยละ 88.75กำลังศึกษาอยู่ในช้นั ปีที่1 ร้อยละ 31.48 เป็นนักศึกษาสาขาวิชาเทคโนโลยีอุตสาหการ ร้อยละ 29.22 ได้รับค่าใช้จ่ายรายเดือนระหว่า ง 3,001 – 4,000 บาท ร้อยละ 30.26 มีคอมพิวเตอร์ใช้ที่บ้าน ร้อยละ 58.96 และ มีระยะเวลาของการใช้อินเทอร์เน็ตน้อยกว่า 5 ชั่วโมงต่อสัปดาห์ส่วนผู้ตอบแบบสอบถามที่เป็นอาจารย์ส่วน ใหญ่เป็นอาจารยป์ระจำสาขาวชิาเทคนิคศึกษาร้อยละ24.45 2. ในภาพรวม นักศึกษาประเมินตนเองว่า มีความพร้อมในการเรียนด้วยบทเรียนอีเลิร์นนิ่งอยู่ใน ระดับมาก (x̅ = 3.86) ส่วนอาจารยป์ระเมินว่า นักศึกษามีความพร้อมอยู่ในระดับปานกลาง (x̅ = 3.13) สำหรับ ความพร้อมรายด้าน นักศึกษาประเมินว่า ตนเองมีความพร้อมทั้ง 6ด้านอยู่ในระดับมากเช่นกัน 3. จากการศึกษาความพร้อมในการเรียนด้วยบทเรียนอีเลิร์นนิ่งจำแนกตามสาขาวิชา นักศึกษาทั้ง 6 สาขาวิชา ประเมินว่า ตนเองมีความพร้อมในระดับมากยกเว้น นักศึกษาสาขาวิชาเทคโนโลยีโลหการ มีความพร้อมในระดับปานกลาง 4. เมื่อเปรียบเทียบความพร้อมในการเรียนด้วยบทเรียนอีเลิร์นนิ่งของนักศึกษา ทั้ง 7 สาขาวิชา พบว่า นักศึกษาที่อยู่ต่างสาขาวิชามีความพร้อมแตกต่างกัน อย่างมีนัยสำคัญทางสถิติที่ระดับ.05 5. จากการศึกษาความพร้อมในการเรียนด้วยบทเรียนอีเลิร์นนิ่ง จำ แนกตามชั้นปีนักศึกษาทุกชั้นปี ประเมินว่า มีความพร้อมทั้ง 6 ด้าน อยู่ในระดับมากโดยชั้นปีที่1 มีค่าเฉลี่ยมากที่สุด (x̅ = 3.97) และน้อยที่สุด ได้แก่ชั้นปีที่3 (x̅ = 3.76) นอกจากนี้นักศึกษาทุกชั้นปียังเห็นสอดคลอ้งกันว่า นักศึกษามีความพร้อมด้านการ เข้าถึงเทคโนโลยีและด้านทักษะพื้นฐานการใช้เทคโนโลยีมากที่สุด ส่วนด้านทักษะการใช้งานสื่อ (เสียง) มี ความพร้อมน้อยที่สุด 6. เมื่อเปรียบเทียบความพร้อมในการเรียนด้วยบทเรียนอีเลิร์นนิ่งของนักศึกษาทั้ง 4 ชั้นปีพบว่า นักศึกษาชั้นปีที่1กับชั้นปีที่3และนักศึกษาชั้นปีที่1กับชั้นปีที่4 มีความแตกต่างกันอย่างมีนัยสำคัญทางสถิติ ที่ระดับ .05
DOI: 10.6084/m9.figshare.24902283
title: Hainan Province 2023 Rubber Forest Sample Plot Survey Data

description: Rubber trees are the primary source of natural rubber and are extensively planted in tropical regions. Hainan Province is one of China's main rubber-planting areas. The rubber planting industry is multifunctional and multi-beneficial. It is not only a pillar of Hainan's agriculture but also a significant source of income for farmers. The benefits and impacts of its ecosystem services are substantial. In September 2023, we conducted a survey of 102 rubber forest plots in Hainan Province. We recorded the coordinates of each plot and performed three-dimensional LiDAR scanning and biomass sampling, obtaining three-dimensional point cloud information and biomass data for each plot. After collecting the plot survey data, we used high-resolution Google satellite imagery with a resolution of 0.59m, combined with the Res-Unet deep learning algorithm, to develop a rubber forest recognition model and obtained the distribution of rubber forests in Hainan Province for 2023. Additionally, here is the description of our data folder files:1.The folders 'Classification of Rubber Forest' and 'Figures' contain the results of our identified rubber forest distribution in Hainan Province for 2023 and the distribution of sampling points from the plot survey.2. The folder 'Rubber Forest Sample Plot Survey Data' contains our three-dimensional LiDAR scanning measurements and biomass data of the rubber forest plots.
DOI: 10.25582/data.2022-12.2683006/2255601
title: Data for EMSL Project 51241 from December 2022
DOI: 10.25582/data.2022-12.2675770/2259250
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2698547/2259251
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2697282/2259252
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2700098/2259253
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2676567/2259254
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2694899/2259255
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2696865/2259256
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2677638/2259257
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2697138/2259258
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2697619/2259259
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2700217/2259260
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2696792/2259261
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2699695/2259262
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2675843/2259263
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2698605/2259264
title: Data for EMSL Project 51287 from December 2022
DOI: 10.5281/zenodo.8409200
title: Electrical Alignment Signatures of Ice Particles before Intracloud Lightning Activity Detected by Dual-polarized Phased Array Weather Radar

description: lightning data from LIDEN system and the data of the Dual-polarized Phased Array Weather Radar (DP-PAWR) on August 20, 2019.
DOI: 10.25582/data.2022-12.2673689/2259265
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2679226/2259266
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2699758/2259267
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2675301/2259268
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2699503/2259269
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2693976/2259270
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2698655/2259271
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2700009/2259272
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2675247/2259273
title: Data for EMSL Project 51287 from December 2022
DOI: 10.25582/data.2022-12.2696978/2259274
title: Data for EMSL Project 51287 from December 2022