cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4x696z6xn4.2
title: Dataset for: Artificial Intelligence-Based Online Control Scheme for the Regulations of Interconnected Thermal Power Systems

description: This dataset is an extension to our article titled " Artificial Intelligence-Based Online Control Scheme for the Regulations of Interconnected Thermal Power Systems." To cite the paper, use:

@article{orka2023artificial,
  title={Artificial Intelligence-Based Online Control Scheme for the Regulations of Interconnected Thermal Power Systems},
  author={Orka, Nabil Anan and Muhaimin, Sheikh Samit and Shahi, Md Nazmush Shakib and Ahmed, Ashik},
  journal={Arabian Journal for Science and Engineering},
  pages={1--24},
  year={2023},
  publisher={Springer}
}

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.
DOI: 10.17632/zkbt83hvgz.1
title: Konflik Dan Penyelesaian Sengketa Tanah Pelaba Di Desa Adat Kerobokan Kabupaten Badung Perspektif Hukum Adat Bali

description: Pengelolaan  tanah  yang  dilakukan  oleh  masyarakat  terkadang  dapat  menimbulkan  suatu  konflik  yaitu perbedaan  pendapat  diantara  dua  pihak  atau  lebih  yang  memperebutkan  satu  objek  yang  sama.  Faktor terjadinya  konflik  yaitu,  faktor  hukumnya,  faktor  penegak  hukum,  faktor  sarana  atau  fasilitas  yang mendukung penegakan hukum, faktor masyarakat, dan faktor kebudayaan. Cara penyelesaian sengketa ada dua  litigasi  dan  non  litigasi yang  dibagi  menjadi  empat  yaitu:  konsultasi,  negosiasi,  mediasi,  dan konsiliasi.Penelitian  ini  bersifat  hukum  empiris  yakni  berdasarkan  gejala  yang  terjadi  di  masyarakat.  Dan menjelaskan  secara  jelas  terkait  gejala  yang  terjadi  dimana  dalam  mengumpulkan  informasi  dilapangan penulis menggunakan teknik bola salju serta mengolah data yang didapatkan secara kualitatif dengan lebih mengutamakan  analisan  dan  deskriptif  nerdasarkan  hukum  yang  berlaku dan  teori-teori  yang  relevan. Konflik  tanah  pelaba  di  Desa  Adat  Kerobokan  Kabupaten  Badung,  disebabkan  oleh  faktor  eksternal  atau manusia   yaitu   adanya   kerugian   yang   dialami   oleh   salah   satu   pihak,   adanya   perbedaan   pendapat, kepentingan  antara  pihak  satu  dengan  yang  lainnya  dan  adanya  penyalahgunaan  kekuasaan.  Upaya  dan penyelesaian  sengketa  tanah  pelaba  di  Desa  Adat  Kerobokan  oleh  Bandesa  Adat  Kerobokan  yaitu: menggunakan  cara non-litigasi  dimana  penyelesaian  sengketanya  dilakukan  diluar  pengadilan  dengan  cara mediasi  dan  konsiliasi.  Dimana  dalam  penyelesaian  sengketa  diselesaikan  melalui  paruman  desa  dengan menghadiri  pihak  yang  bersengketa  dan  para  saksi  dimana  peran  dari  Bandesa  Adat  Kerobokan  sebagai pihak ketiga antara pihak yang bersengketa.
DOI: 10.21227/k1wr-rc37
title: X-SDD

description: It is important to accurately classify the defects in hot rolled steel strip since the detection of defects in hot rolled steel strip is closely related to the quality of the fifinal product. The lack of actual hot-rolled strip defect data sets currently limits further research on the classifification of hot-rolled strip defects to some extent. In real production, the convolutional neural network (CNN)-based algorithm has some diffificulties, for example, the algorithm is not particularly accurate in classifying some uncommon defects. Therefore, further research is needed on how to apply deep learning to the actual detection of defects on the surface of hot rolled steel strip. In this paper, we proposed a hot rolled steel strip defect dataset called Xsteel surface defect dataset (X-SDD) which contains seven typical types of hot rolled strip defects with a total of 1360 defect images. Compared with the six defect types of the commonly used NEU surface defect database (NEU-CLS), our proposed X-SDD contains more types. Then, we adopt the newly proposed RepVGG algorithm and combine it with the spatial attention (SA) mechanism to verify the effect on the X-SDD. Finally, we apply multiple algorithms to test on our proposed X-SDD to provide the corresponding benchmarks. The test results show that our algorithm achieves an accuracy of 95.10% on the testset, which exceeds other comparable algorithms by a large margin. Meanwhile, our algorithm achieves the best results in Macro-Precision, Macro-Recall and Macro-F1-score metrics.
DOI: 10.17632/9fzf5kk6px.1
title: Characterization of zein-based materials : Rheology -APPENDIX A1 (Fig. S1)-   and   X-ray Tomography -APPENDIX A2 (Fig. S2)-

description: Characterization of zein-based materials:

- Evolution of the viscoelastic properties of zein-based materials in the molten state during successive frequency sweeps carried out in a plate-plate oscillatory rheometer at 130 °C  - APPENDIX A1 (Fig. S1) -

- Potential effect of dilation, or thermal expansion, on sintering. No dilation is observed during the monitoring of the volume of a sole filament placed at high temperature and followed-up by dynamic X-ray microtomography at Synchrotron SOLEIL on the ANATOMIX beamline. Then, in the case of the sintering of two juxtaposed filaments placed at these same temperatures, no expansion (potential bubbles), nor thermal dilation, may favor the effect of surface tension as the driving force of the sintering. Indeed, with a very low increase of the total volume of each filament (less than 3% of the initial volume at the maximum measured level), the effect of the expansion is negligible, whatever the temperature  -APPENDIX A2 (Fig. S2)-
DOI: 10.34740/kaggle/dsv/6345931
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.17632/wb64mhytk2.1
title: Peran Hakim Dalam Mewujudkan Negara Hukum Indonesia

description: Berdasarkan ketentuan UUD 1945 hasil perubahan, disebutkan dengan tegas bahwa negara Indonesia adalah negara  hukum.Indonesia  adalah  negara  hukum  yang  senantiasa  mengutamakan  hukum  sebagai  landasan dalam seluruh aktivitas negara dan masyarakat. Untuk menjaga dan mengawasi hukum yang berjalan, maka dibentuklah  lembaga  peradilan. Penelitian  ini  bersifat  normatif,  atau disebut  juga  penelitian  normatif. Penelitian  hukum  normatif  atau  penelitian  perpustakaan  ini  merupakan  penelitian  yang  mengkaji  studi dokumen  dengan  menggunakan  berbagai  data.  Hasil  penelitian  ini  menunjukan,  bahwahakim  memiliki peran yang penting dalam penegakan hukum di Indonesia. Penegakan hukum sendiri merupakan syarat bagi terwujudnya  suatu  perlindungan  hukum  di  Indonesia.  Dalam  proses  penegakan  hukum,hakim  berperan untuk   mengadili.   Mengadili   adalah   serangkaian   tindakan   hakim   untuk   memeriksa,   menerima,   dan memutuskan  perkara  hukum.  proses  mengadili  ini  dilakukan  berdasarkan  undang-undang  yang  berlaku. Hakim  sebagai  penegak  hukum  dan  keadilan,  serta  pejabat  negara  yang  mempunyai  tugas  mulia  dalam mewujudkan  negara  hukum,  memberikan  kepastian  hukum,  dan  kemanfaatan  bagi  masyarakat  melalui putusan hukumnya di pengadilan
DOI: 10.34740/kaggle/dsv/6345884
title: Indian Trade Data(1996-2021)
DOI: 10.17632/bc7v9hsv82.1
title: A comprehensive dataset on antimicrobial activity of indigenous Oscillatoria spp. against common bacteria causing diseases in fish and shellfish

description: Data sets were produced on the antibacterial activity of phenolic extracts using the disk diffusion technique on two marine and two freshwater species of Oscillatoria. 
Table 2 describe the data on diameter of the inhibition zone (mm) exhibited by Oscillatoria species against isolated pathogenic bacteria.  
Table 3 describe the data on antimicrobial index (AI) of Oscillatoria strains against isolated pathogenic bacteria.
DOI: 10.17632/9vccv4kmhm.1
title: Empirical Analysis Dataset of Labor Migration

description: Dataset for science article "Empirical Analysis Dataset of Labor Migration's: From China to USA" for Data in Brief journal
DOI: 10.17632/vy5vyfbv8d.1
title: Revised Mudi River Dataset-contamination level and ecological risk assessment of selected heavy metals

description: Chemical analysis of water and sediments provides important information about the contamination level of the river systems. Heavy metal contamination of river water and sediments remains a global issue that is affecting the ecological health of the riverine ecosystem. A total of twelve (12) sediments and twelve (12) water samples making twenty-four (24) samples were collected from Mudi River, Blantyre, Malawi at twelve (12) different sites within the river in dry season in 2021 and wet season in 2022. Sediment samples from the targeted sites were collected at 0 to 10 cm deep using a polypropylene spatula. Similarly, 500 mL of water from the river was collected at the selected sites using clearly labelled plastic bottles, and 2 mL of nitric acid was added to preserve the samples for analysis. Both water and digested sediment samples and reagent blank were analysed for total Cd, Cr, Pb, Zn, Fe, and Cu content using Atomic Absorption Spectrometry (AAS). The pH, temperature, and EC were measured using a combined pH/temperature/turbidity/electro-conductivity meter on site. The data will be valuable as it provides updated information and baseline data on the contamination level of Mudi River water and sediments.
DOI: 10.17632/v6cnmxn7fb.1
title: Differential Regulation of Autophagy on Urine-Concentrating Capability through Modulating the Renal AQP2 Expression and Renin-Angiotensin System in Mice

description: Supplemental Tables S1–S2
DOI: 10.17632/pxnz27s6v4.1
title: Differential Regulation of Autophagy on Urine-Concentrating Capability through Modulating the Renal AQP2 Expression and Renin-Angiotensin System in Mice

description: Supplemental Figs. S1–SX
DOI: 10.26050/wdcc/ar6.c6pmnuines
title: IPCC DDC: NUIST NESMv3 model output prepared for CMIP6 PMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.PMIP.NUIST.NESM3' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NUIST ESM v3 climate model, released in 2016, includes the following components: atmos: ECHAM v6.3 (T63; 192 x 96 longitude/latitude; 47 levels; top level 1 Pa), land: JSBACH v3.1, ocean: NEMO v3.4 (NEMO v3.4, tripolar primarily 1deg; 384 x 362 longitude/latitude; 46 levels; top grid cell 0-6 m), seaIce: CICE4.1. The model was run by the Nanjing University of Information Science and Technology, Nanjing, 210044, China (NUIST) in native nominal resolutions: atmos: 250 km, land: 2.5 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.17632/ch5j8c8vg3.1
title: TongueImage

description: Tongue segment models in complex environment.
DOI: 10.5281/zenodo.8272401
title: FLOP test dataset

description: The test dataset for FLOP is a subset of the PANACEA dataset (doi.org/10.1016/j.xcrm.2021.100492) containing ASPC cell samples treated with three different kinase inhibitors (MK2206, Regorafenib and KW2449) and DMSO as control. It consists of three files: a count matrix, a metadata table assigning each sample to a treatment group, and a contrast table specifying which groups should be compared.
DOI: 10.5281/zenodo.8272400
title: FLOP test dataset

description: The test dataset for FLOP is a subset of the PANACEA dataset (doi.org/10.1016/j.xcrm.2021.100492) containing ASPC cell samples treated with three different kinase inhibitors (MK2206, Regorafenib and KW2449) and DMSO as control. It consists of three files: a count matrix, a metadata table assigning each sample to a treatment group, and a contrast table specifying which groups should be compared.
DOI: 10.4228/zalf-w1jm-4p52
title: BIBS Dataset: Greenhouse plant functional traits of four grassland species from an urbanization gradient in Berlin, Germany

description: Functional traits measured in 2019 on four grassland plant species grown in a greenhouse from seeds collected in 2017 along an urbanization gradient in Berlin, Germany. Species were: AC:Agrostis capillaris (L.); CE: Calamagrostis epigejos (L.); Roth;  SC:Solidago canadensis (L.); TV: Tanacetum vulgare (L.). The table contains individual plant measurements of leaf, height, root (only AC) and reproductive phenological traits (only TV and SC). Sample size varies from 8 to 20.
DOI: 10.6084/m9.figshare.23905452.v2
title: Metabolite concentration and annotation in Pearl millet samples

description: This dataframe contains metabolomic analyses on various pearl millet lines.These analyses were done on Shoot, Root and Rhizospheric compartments.
DOI: 10.57967/hf/1011
title: Funder-NER
DOI: 10.5517/ccdc.csd.cc26b7h9
title: CCDC 2035630: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Fabian Albrecht, Hans-Hermann Johannes, Wolfgang Kowalski|2020|CSD Communication|||
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.cc285r4c
title: CCDC 2090892: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood, L. Horsburgh|2021|CSD Communication|||
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.cc2fythq
title: CCDC 2262984: Experimental Crystal Structure Determination

description: Related Article: Yu-Chen Fang, Jia-He Chen, Ren-Feng Xiu, Li-Ren Zhang, Fang-Hua Zheng, Yong-Zheng Chen, Zi-Wei Gao, Wen-Yong Han|2023|Org.Chem.Front.|10|3752|doi:10.1039/D3QO00764B
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.cc2fytjr
title: CCDC 2262985: Experimental Crystal Structure Determination

description: Related Article: Yu-Chen Fang, Jia-He Chen, Ren-Feng Xiu, Li-Ren Zhang, Fang-Hua Zheng, Yong-Zheng Chen, Zi-Wei Gao, Wen-Yong Han|2023|Org.Chem.Front.|10|3752|doi:10.1039/D3QO00764B
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.cc2fytt1
title: CCDC 2262994: Experimental Crystal Structure Determination

description: Related Article: Yu-Chen Fang, Jia-He Chen, Ren-Feng Xiu, Li-Ren Zhang, Fang-Hua Zheng, Yong-Zheng Chen, Zi-Wei Gao, Wen-Yong Han|2023|Org.Chem.Front.|10|3752|doi:10.1039/D3QO00764B
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.cc2fytx4
title: CCDC 2262997: Experimental Crystal Structure Determination

description: Related Article: Yu-Chen Fang, Jia-He Chen, Ren-Feng Xiu, Li-Ren Zhang, Fang-Hua Zheng, Yong-Zheng Chen, Zi-Wei Gao, Wen-Yong Han|2023|Org.Chem.Front.|10|3752|doi:10.1039/D3QO00764B
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.cc2fz9nd
title: CCDC 2263454: Experimental Crystal Structure Determination

description: Related Article: Yizhi Xu, Michał L. Chodkiewicz, Magdalena Woińska, Damian Trzybiński, Ivana Brekalo, Filip Topić, Krzysztof Woźniak, Mihails Arhangelskis|2023|Chem.Commun.|59|8799|doi:10.1039/D3CC01369C
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.cc2f2rgr
title: CCDC 2236974: Experimental Crystal Structure Determination

description: Related Article: Samuel Redl, Daniel Timelthaler, Paul Sunzenauer, Kirill Faust, Christoph Topf|2023|Organometallics|42|1639|doi:10.1021/acs.organomet.3c00189
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.cc2fzdd7
title: CCDC 2263539: Experimental Crystal Structure Determination

description: Related Article: Yifei Song, Tian Ke, Jin Shen, Jinjian Li, Xiaoqian Zhu, Liu Yang, Zhiguo Zhang, Zongbi Bao, Qilong Ren, Qiwei Yang|2023|Sep.Purif.Technol.|323|124377|doi:10.1016/j.seppur.2023.124377
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.cc2f3d21
title: CCDC 2237582: Experimental Crystal Structure Determination

description: Related Article: Shuang-Long Wang, Wen-Li Yuan, Ying Zhao, Kun-Lun Cheng, Guo-Hong Tao, Ling He|2023|Dalton Trans.|52|8975|doi:10.1039/D3DT00937H
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.cc2g05pc
title: CCDC 2264292: Experimental Crystal Structure Determination

description: Related Article: Vinjamuri Srinivasu, Debabrata Das, Palasetty Chandu, Krishna Gopal Ghosh, Devarajulu Sureshkumar|2023|Org.Lett.|25|5308|doi:10.1021/acs.orglett.3c01877
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.cc2f3d54
title: CCDC 2237585: Experimental Crystal Structure Determination

description: Related Article: Shuang-Long Wang, Wen-Li Yuan, Ying Zhao, Kun-Lun Cheng, Guo-Hong Tao, Ling He|2023|Dalton Trans.|52|8975|doi:10.1039/D3DT00937H
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.cc2f3d87
title: CCDC 2237588: Experimental Crystal Structure Determination

description: Related Article: Shuang-Long Wang, Wen-Li Yuan, Ying Zhao, Kun-Lun Cheng, Guo-Hong Tao, Ling He|2023|Dalton Trans.|52|8975|doi:10.1039/D3DT00937H
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.