cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cnmb0
title: CCDC 2194562: Experimental Crystal Structure Determination

description: Related Article: Shuowen Wang, Zhi Huang, Ruitong Yang, Ya Chen, Wen Shao, Guojiang Mao, Guo-Jun Deng|2023|Org.Chem.Front.|10|4329|doi:10.1039/D3QO00680H
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.cc2d0mvx
title: CCDC 2205149: Experimental Crystal Structure Determination

description: Related Article: Min Zhang, Meng Li, Huanfeng Jiang, Biao Nie, Wanqing Wu|2023|Org.Chem.Front.|10|4305|doi:10.1039/D3QO00799E
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.cc2d85d8
title: CCDC 2212389: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Lun, Chang-Yuan Su, Qiang-Qiang Jia, Zhi-Xu Zhang, Jie Li, Hai-Feng Lu, Yi Zhang, Da-Wei Fu|2023|Inorg.Chem.Front.|10|5026|doi:10.1039/D3QI01037F
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.cc2d85f9
title: CCDC 2212390: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Lun, Chang-Yuan Su, Qiang-Qiang Jia, Zhi-Xu Zhang, Jie Li, Hai-Feng Lu, Yi Zhang, Da-Wei Fu|2023|Inorg.Chem.Front.|10|5026|doi:10.1039/D3QI01037F
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.cc2d85gb
title: CCDC 2212391: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Lun, Chang-Yuan Su, Qiang-Qiang Jia, Zhi-Xu Zhang, Jie Li, Hai-Feng Lu, Yi Zhang, Da-Wei Fu|2023|Inorg.Chem.Front.|10|5026|doi:10.1039/D3QI01037F
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: 10.17632/vv6dbrwwnn.1
title: Warli Art Object Image Dataset

description: The "Warli Art Object Image Dataset" is an extensive collection of 7,535 images, meticulously organized into themed folders showcasing the captivating intricacies of Warli art—a tribal masterpiece. Covering a diverse array of subjects such as Animals, Birds, Farming, Gods Scenes, Houses, Instruments, Men, Mountains, Plants, Sun, Utensils, Weapons, Wedding Ceremonies, and Women, this dataset unveils the rich tapestry of Warli culture. Each image serves as a portal into the soulful fusion of simplicity and sophistication, narrating stories of life, nature, and spirituality while celebrating the unique visual language of the Warli tribe.
DOI: 10.17632/vv6dbrwwnn.2
title: Warli Art Object Image Dataset

description: The "Warli Art Object Image Dataset" is an extensive collection of 7,535 images, meticulously organized into themed folders showcasing the captivating intricacies of Warli art—a tribal masterpiece. Covering a diverse array of subjects such as Animals, Birds, Farming, Gods Scenes, Houses, Instruments, Men, Mountains, Plants, Sun, Utensils, Weapons, Wedding Ceremonies, and Women, this dataset unveils the rich tapestry of Warli culture. Each image serves as a portal into the soulful fusion of simplicity and sophistication, narrating stories of life, nature, and spirituality while celebrating the unique visual language of the Warli tribe.
DOI: 10.5517/ccdc.csd.cc2d85hc
title: CCDC 2212392: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Lun, Chang-Yuan Su, Qiang-Qiang Jia, Zhi-Xu Zhang, Jie Li, Hai-Feng Lu, Yi Zhang, Da-Wei Fu|2023|Inorg.Chem.Front.|10|5026|doi:10.1039/D3QI01037F
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.cc2d85jd
title: CCDC 2212393: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Lun, Chang-Yuan Su, Qiang-Qiang Jia, Zhi-Xu Zhang, Jie Li, Hai-Feng Lu, Yi Zhang, Da-Wei Fu|2023|Inorg.Chem.Front.|10|5026|doi:10.1039/D3QI01037F
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: 10.17632/5bpzrgd32t.1
title: Lie for me: An experiment about delegation, efficiency, and morality

description: analisi_paper_code.html: R Code to replicate the analysis 
DATA.rds: R source data
DATA.csv: source data in csv format
DOI: 10.5517/ccdc.csd.cc2dnbxb
title: CCDC 2224092: Experimental Crystal Structure Determination

description: Related Article: Nirmalya Podder, Anannya Saha, Suman K. Barman, Sukanta Mandal|2023|Dalton Trans.|52|11465|doi:10.1039/D3DT00833A
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.cc2dnbzd
title: CCDC 2224094: Experimental Crystal Structure Determination

description: Related Article: Nirmalya Podder, Anannya Saha, Suman K. Barman, Sukanta Mandal|2023|Dalton Trans.|52|11465|doi:10.1039/D3DT00833A
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.cc2dphsd
title: CCDC 2225204: Experimental Crystal Structure Determination

description: Related Article: Zeyi Li, Tingting Sun, Jiaxiang Guo, Xinyu Tian, Yujia Liu, Shihou Sheng, Kaiqi Ye, Zhigang Xie, Chuandong Dou|2023|Org.Chem.Front.|10|4289|doi:10.1039/D3QO00900A
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.cc2dq2jr
title: CCDC 2225754: Experimental Crystal Structure Determination

description: Related Article: Hong Cai, Jie-Wen Wu, Xiao-Jun Cai, Zhou Lu, Ya-Liang Lai, Jing-Xuan Sun, Zhuo-Li Yuan, Yang-Ying Huang, Jing-Wen Cai, Wen Lu, Yi-Hong Lu, Hui-Ying Zhang, Dan Li|2023|Inorg.Chem.Front.|10|5144|doi:10.1039/D3QI01092A
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.cc2dq2ks
title: CCDC 2225755: Experimental Crystal Structure Determination

description: Related Article: Hong Cai, Jie-Wen Wu, Xiao-Jun Cai, Zhou Lu, Ya-Liang Lai, Jing-Xuan Sun, Zhuo-Li Yuan, Yang-Ying Huang, Jing-Wen Cai, Wen Lu, Yi-Hong Lu, Hui-Ying Zhang, Dan Li|2023|Inorg.Chem.Front.|10|5144|doi:10.1039/D3QI01092A
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.cc2dq2mv
title: CCDC 2225757: Experimental Crystal Structure Determination

description: Related Article: Hong Cai, Jie-Wen Wu, Xiao-Jun Cai, Zhou Lu, Ya-Liang Lai, Jing-Xuan Sun, Zhuo-Li Yuan, Yang-Ying Huang, Jing-Wen Cai, Wen Lu, Yi-Hong Lu, Hui-Ying Zhang, Dan Li|2023|Inorg.Chem.Front.|10|5144|doi:10.1039/D3QI01092A
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.cc2dq2px
title: CCDC 2225759: Experimental Crystal Structure Determination

description: Related Article: Hong Cai, Jie-Wen Wu, Xiao-Jun Cai, Zhou Lu, Ya-Liang Lai, Jing-Xuan Sun, Zhuo-Li Yuan, Yang-Ying Huang, Jing-Wen Cai, Wen Lu, Yi-Hong Lu, Hui-Ying Zhang, Dan Li|2023|Inorg.Chem.Front.|10|5144|doi:10.1039/D3QI01092A
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.cc2fkmh4
title: CCDC 2251266: Experimental Crystal Structure Determination

description: Related Article: Florian Benner, Selvan Demir|2023|Inorg.Chem.Front.|10|4981|doi:10.1039/D3QI00546A
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.cc2fkmj5
title: CCDC 2251267: Experimental Crystal Structure Determination

description: Related Article: Florian Benner, Selvan Demir|2023|Inorg.Chem.Front.|10|4981|doi:10.1039/D3QI00546A
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.cc2fkmn9
title: CCDC 2251271: Experimental Crystal Structure Determination

description: Related Article: Florian Benner, Selvan Demir|2023|Inorg.Chem.Front.|10|4981|doi:10.1039/D3QI00546A
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.cc2fnqmg
title: CCDC 2254246: Experimental Crystal Structure Determination

description: Related Article: Jun Cao|2023|CSD Communication|||
description: Related Article: Jun Cao, Jiali Chen, Rongrong Du, Qingwen Zhang, Lishe Gan, Peicheng Zhang, Ligen Lin|2023|Org.Chem.Front.|10|4311|doi:10.1039/D3QO00752A
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.cc2fpzjn
title: CCDC 2255452: Experimental Crystal Structure Determination

description: Related Article: Zhen-Hua Wang, Tong Zhang, Qing-Fei Yan, Jian-Qiang Zhao, Yong You, Yan-Ping Zhang, Jun-Qing Yin, Wei-Cheng Yuan|2023|Org.Chem.Front.|10|4256|doi:10.1039/D3QO00784G
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.cc2fghl0
title: CCDC 2248262: Experimental Crystal Structure Determination

description: Related Article: So-Ri Son, Geum Jin Kim, Yea Jung Choi, Sang Hee Shim, Joo-Won Nam, Sullim Lee, Dae Sik Jang, Hyukjae Choi|2023|Org.Chem.Front.|10|4320|doi:10.1039/D3QO00835E
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.cc2fpzkp
title: CCDC 2255453: Experimental Crystal Structure Determination

description: Related Article: Zhen-Hua Wang, Tong Zhang, Qing-Fei Yan, Jian-Qiang Zhao, Yong You, Yan-Ping Zhang, Jun-Qing Yin, Wei-Cheng Yuan|2023|Org.Chem.Front.|10|4256|doi:10.1039/D3QO00784G
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: 10.25592/uhhfdm.13186
title: Incentives and mechanisms for decarbonization of suppliers

description: This dataset was created in connection with the master's thesis "Incentives and mechanisms for decarbonization of suppliers" at the chair of logistics and supply chain management (Prof. Dr. Guido Voigt) and consists of 15 interview transcripts. The transcripts are in pdf format and written in German. All statements that allow conclusions to be drawn about the interviewees have been anonymized. The interviews were conducted between April and June 2023. In addition to the interview transcripts, the project file from MaxQDA is attached.
DOI: 10.25592/uhhfdm.13185
title: Incentives and mechanisms for decarbonization of suppliers

description: This dataset was created in connection with the master's thesis "Incentives and mechanisms for decarbonization of suppliers" at the chair of logistics and supply chain management (Prof. Dr. Guido Voigt) and consists of 15 interview transcripts. The transcripts are in pdf format and written in German. All statements that allow conclusions to be drawn about the interviewees have been anonymized. The interviews were conducted between April and June 2023. In addition to the interview transcripts, the project file from MaxQDA is attached.
DOI: 10.17632/svmgpg96g3.1
title: Fungsi Mahkamah Konstitusi Dalam Pengujian Undang-Undang Terhadap Undang-Undang Dasar 1945

description: Perubahan  terhadap  Undang-Undang  Dasar  1945  memberikan  warna  baru  dalamsistem  ketatanegaraan, terutamadengan  lahirnyaMahkamah   Konstitusi   sebagai lembaga  negara. Pembentukan   Mahkamah Konstitusi  diperlukan  karena  Indonesia  telah  melakukan  perubahan  mendasar  atas  Undang-Undang  Dasar 1945,  Indonesia  mengadopsi  prinsip-prinsip  baru  dalam  sistem  ketatanegaraan,  yaitu  antara  lain  prinsip pemisahan  kekuasaan  dan  pengawasan  and  perimbangansebagai  pengganti  sistem  supremasi  parlemenyang berlaku sebelumnya. Penelitian ini menggunakan jenis penelitian yuridis normatif dan library research (kepustakaan) yang memusatkan kegiatan pada perpustakaan untuk memperoleh data tanpa melakukan riset di lapangan.  Hasil penelitian ini menunjukan, bahwa wewenang yang dimiliki Mahkamah Konstitusi untuk menguji undang-undang terhadap UUD 1945 merupakan wujud prinsip atau asas konstitusionalitas undang-undang yang  menjamin  bahwa  undang-undang  yang  dibuat  oleh  pembentuk  undang-undang  itu  tidak bertentangan  dengan  UUD  1945. Fungsi  Mahkamah  Konstitusi  dalam  melakukan  pengujian  dilakukan dalam bentuk pengujianformaldan pengujian secara materiil. Semua peraturan perundang-undangan yang dibentuk harus  berdasar  kepada  UUD  1945  dan  tidak  boleh  bertentangan  dengan  isi  UUD  1945.  Undang-undang  yang  bertentangan  dengan  UUD  1945  dapat  dibatalkan  melalui  pengujian  undang-undangke Mahkamah Konstitusi Republik Indonesia
DOI: 10.17632/t2k7z4wsj4.1
title: Dataset for: Nutrispace: A Novel Color Space to Enhance Deep Learning Based Early Detection of Cucurbits Nutritional Deficiency

description: This dataset is an extension of our research titled "Nutrispace: A Novel Color Space to Enhance Deep Learning Based Early Detection of Cucurbits Nutritional Deficiency," which is currently under review. For utmost reproducibility, we've included a ZIP file and a Python file:

The ZIP file, "dataset_images," comprises 2700 segmented RGB images spanning 9 classes. The dataset is balanced and divided into train, validation, and test sets with a ratio of 0.70:0.15:0.15. 

Class distribution of the dataset:
Crop           | Class            | Number of samples
---------------|------------------|-------------------
Ash gourd      | Healthy          | 300
Ash gourd      | N deficiency     | 300
Ash gourd      | K deficiency     | 300
---------------|------------------|-------------------
Bitter gourd   | Healthy          | 300
Bitter gourd   | N deficiency     | 300
Bitter gourd   | K deficiency     | 300
---------------|------------------|-------------------
Snake gourd    | Healthy          | 300
Snake gourd    | N deficiency     | 300
Snake gourd    | K deficiency     | 300
---------------|------------------|-------------------
               |                  | Total = 2700

The converter.py file is a Python class file for transforming the RGB images to HSV, CIELAB, and our proposed color space - Nutrispace. The .py file contains a short documentation within it for the ease of use.
DOI: 10.17632/t2k7z4wsj4.2
title: Dataset for: Nutrispace: A Novel Color Space to Enhance Deep Learning Based Early Detection of Cucurbits Nutritional Deficiency

description: This dataset is an extension of our research titled "Nutrispace: A Novel Color Space to Enhance Deep Learning Based Early Detection of Cucurbits Nutritional Deficiency," which is currently under review. For utmost reproducibility, we've included a ZIP file and a Python file:

The ZIP file, "dataset_images," comprises 2700 segmented RGB images spanning 9 classes. The dataset is balanced and divided into train, validation, and test sets with a ratio of 0.70:0.15:0.15. 

Class distribution of the dataset:
Crop           | Class            | Number of samples
---------------|------------------|-------------------
Ash gourd      | Healthy          | 300
Ash gourd      | N deficiency     | 300
Ash gourd      | K deficiency     | 300
---------------|------------------|-------------------
Bitter gourd   | Healthy          | 300
Bitter gourd   | N deficiency     | 300
Bitter gourd   | K deficiency     | 300
---------------|------------------|-------------------
Snake gourd    | Healthy          | 300
Snake gourd    | N deficiency     | 300
Snake gourd    | K deficiency     | 300
---------------|------------------|-------------------
               |                  | Total = 2700

The converter.py file is a Python class file for transforming the RGB images to HSV, CIELAB, and our proposed color space - Nutrispace. The .py file contains a short documentation within it for the ease of use.
DOI: 10.17632/4x696z6xn4.1
title: Dataset for: Artificial Intelligence Based Online Control Scheme for the Regulations of Interconnected Thermal Power Systems

description: The dataset comprises two CSV files:

"linear_thermalthermal" contains optimal PID parameters corresponding to load disturbances in both regions of a two-area interconnected power system (IPS) with non-reheat thermal turbines.

"nonlinear_hydrothermal" comprises optimum PID gains corresponding to load perturbations in both regions of a two-area hydrothermal IPS that includes nonlinearities like Generation Rate Constraint (GRC) and Governor Dead Band (GDB).

The simulation and collection of data was conducted in MATLAB 2018b. To obtain the optimal controller parameters, Newton's method inspired Gradient-Based Optimizer (GBO), GBO’s updated algorithm Enhanced Gradient-Based Optimizer (EGBO), and nature-based Marine Predators Algorithm (MPA) are employed using an Integral Time-multiplied Absolute Error (ITAE) based objective function. A brief description of different features of the dataset is described below:

Kp1: Proportional gain of the controller in area 1
Ki1: Integral gain of the controller in area 1
Kd1: Derivative gain of the controller in area 1
Kp2: Proportional gain of the controller in area 2
Ki2: Integral gain of the controller in area 2
Kd2: Derivative gain of the controller in area 2
w1: Step-change in load demands of area 1
w2: Step-change in load demands of area 2

The efficient utilization of this dataset can result in trained intelligent online controllers that can very precisely forecast the optimum controller gains in a practical setting.