cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bjp4q
title: CCDC 2160983: Experimental Crystal Structure Determination

description: Related Article: Bernardo A. Nogueira, Susana M. M. Lopes, Alberto Milani, Vânia André, José A. Paixão, M. Ermelinda S. Eusébio, Teresa M. V. D. Pinho e Melo, M. Teresa Duarte, Chiara Castiglioni, Rui Fausto|2022|Cryst.Growth Des.|22|5375|doi:10.1021/acs.cgd.2c00462
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.cc2bjp5r
title: CCDC 2160984: Experimental Crystal Structure Determination

description: Related Article: Bernardo A. Nogueira, Susana M. M. Lopes, Alberto Milani, Vânia André, José A. Paixão, M. Ermelinda S. Eusébio, Teresa M. V. D. Pinho e Melo, M. Teresa Duarte, Chiara Castiglioni, Rui Fausto|2022|Cryst.Growth Des.|22|5375|doi:10.1021/acs.cgd.2c00462
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: 10.14469/hpc/11158
title: DADHUA inverted carbon

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/11160
title: SEWZID inverted carbon

description: Gaussian 16 (C01) calculation
DOI: 10.6084/m9.figshare.19608549.v1
title: Database of CSH-DP

description: The Dataset of C-S-H used to train a DP potential
DOI: 10.6084/m9.figshare.21151537
title: Seurat Object

description: single-cell COVID-19 data (Silvin, 2020), converted to Seurat <br> Silvin, A., Chapuis, N., Dunsmore, G., Goubet, A.G., Dubuisson, A., Derosa, L., Almire, C., Hénon, C., Kosmider, O., Droin, N. and Rameau, P., 2020. Elevated calprotectin and abnormal myeloid cell subsets discriminate severe from mild COVID-19. Cell, 182(6), pp.1401-1418.
DOI: 10.5517/ccdc.csd.cc2bpw75
title: CCDC 2165977: Experimental Crystal Structure Determination

description: Related Article: Hiroki Akutsu, Scott S. Turner, Yasuhiro Nakazawa|2022|Cryst.Growth Des.|22|5143|doi:10.1021/acs.cgd.2c00727
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.cc2bpw86
title: CCDC 2165978: Experimental Crystal Structure Determination

description: Related Article: Hiroki Akutsu, Scott S. Turner, Yasuhiro Nakazawa|2022|Cryst.Growth Des.|22|5143|doi:10.1021/acs.cgd.2c00727
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.cc2bpw97
title: CCDC 2165979: Experimental Crystal Structure Determination

description: Related Article: Hiroki Akutsu, Scott S. Turner, Yasuhiro Nakazawa|2022|Cryst.Growth Des.|22|5143|doi:10.1021/acs.cgd.2c00727
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.cc2bpwb8
title: CCDC 2165980: Experimental Crystal Structure Determination

description: Related Article: Hiroki Akutsu, Scott S. Turner, Yasuhiro Nakazawa|2022|Cryst.Growth Des.|22|5143|doi:10.1021/acs.cgd.2c00727
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.cc2bpwc9
title: CCDC 2165981: Experimental Crystal Structure Determination

description: Related Article: Hiroki Akutsu, Scott S. Turner, Yasuhiro Nakazawa|2022|Cryst.Growth Des.|22|5143|doi:10.1021/acs.cgd.2c00727
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.cc2bpwdb
title: CCDC 2165982: Experimental Crystal Structure Determination

description: Related Article: Hiroki Akutsu, Scott S. Turner, Yasuhiro Nakazawa|2022|Cryst.Growth Des.|22|5143|doi:10.1021/acs.cgd.2c00727
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.cc2bpwfc
title: CCDC 2165983: Experimental Crystal Structure Determination

description: Related Article: Hiroki Akutsu, Scott S. Turner, Yasuhiro Nakazawa|2022|Cryst.Growth Des.|22|5143|doi:10.1021/acs.cgd.2c00727
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.cc2bpwgd
title: CCDC 2165984: Experimental Crystal Structure Determination

description: Related Article: Hiroki Akutsu, Scott S. Turner, Yasuhiro Nakazawa|2022|Cryst.Growth Des.|22|5143|doi:10.1021/acs.cgd.2c00727
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.cc2b5jnq
title: CCDC 2150273: Experimental Crystal Structure Determination

description: Related Article: Sanobar Naaz, Pubali Das, Antonio Frontera, Basudeb Dutta, Samim Khan, Partha Pratim Ray, Mohammad Hedayetullah Mir|2022|Cryst.Growth Des.|22|5189|doi:10.1021/acs.cgd.2c00193
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.cc2b5jpr
title: CCDC 2150274: Experimental Crystal Structure Determination

description: Related Article: Sanobar Naaz, Pubali Das, Antonio Frontera, Basudeb Dutta, Samim Khan, Partha Pratim Ray, Mohammad Hedayetullah Mir|2022|Cryst.Growth Des.|22|5189|doi:10.1021/acs.cgd.2c00193
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.cc29fngw
title: CCDC 2128288: Experimental Crystal Structure Determination

description: Related Article: Xiuxiu Yang, Edward J. Reijerse, Kalishankar Bhattacharyya, Markus Leutzsch, Markus Kochius, Nils Nöthling, Julia Busch, Alexander Schnegg, Alexander A. Auer, Josep Cornella|2022|J.Am.Chem.Soc.|144|16535|doi:10.1021/jacs.2c05882
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.cc29fnhx
title: CCDC 2128289: Experimental Crystal Structure Determination

description: Related Article: Xiuxiu Yang, Edward J. Reijerse, Kalishankar Bhattacharyya, Markus Leutzsch, Markus Kochius, Nils Nöthling, Julia Busch, Alexander Schnegg, Alexander A. Auer, Josep Cornella|2022|J.Am.Chem.Soc.|144|16535|doi:10.1021/jacs.2c05882
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.cc29fnjy
title: CCDC 2128290: Experimental Crystal Structure Determination

description: Related Article: Xiuxiu Yang, Edward J. Reijerse, Kalishankar Bhattacharyya, Markus Leutzsch, Markus Kochius, Nils Nöthling, Julia Busch, Alexander Schnegg, Alexander A. Auer, Josep Cornella|2022|J.Am.Chem.Soc.|144|16535|doi:10.1021/jacs.2c05882
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.cc29fnkz
title: CCDC 2128291: Experimental Crystal Structure Determination

description: Related Article: Xiuxiu Yang, Edward J. Reijerse, Kalishankar Bhattacharyya, Markus Leutzsch, Markus Kochius, Nils Nöthling, Julia Busch, Alexander Schnegg, Alexander A. Auer, Josep Cornella|2022|J.Am.Chem.Soc.|144|16535|doi:10.1021/jacs.2c05882
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: 10.6084/m9.figshare.21152230
title: tutorial_data.zip

description: single-cell COVID-19 data (Silvin, 2020), converted to Seurat<br> <br> <br> Silvin, A., Chapuis, N., Dunsmore, G., Goubet, A.G., Dubuisson, A., Derosa, L., Almire, C., Hénon, C., Kosmider, O., Droin, N. and Rameau, P., 2020. Elevated calprotectin and abnormal myeloid cell subsets discriminate severe from mild COVID-19. Cell, 182(6), pp.1401-1418.
DOI: 10.6084/m9.figshare.21152230.v1
title: tutorial_data.zip

description: single-cell COVID-19 data (Silvin, 2020), converted to Seurat<br> <br> <br> Silvin, A., Chapuis, N., Dunsmore, G., Goubet, A.G., Dubuisson, A., Derosa, L., Almire, C., Hénon, C., Kosmider, O., Droin, N. and Rameau, P., 2020. Elevated calprotectin and abnormal myeloid cell subsets discriminate severe from mild COVID-19. Cell, 182(6), pp.1401-1418.
DOI: 10.20375/0000-000f-73ce-8
title: DocuDataCollection.pdf
DOI: 10.20375/0000-000f-73cf-7
title: original-data.sav
DOI: 10.20375/0000-000f-73d0-4
title: original-data.xlsx
DOI: 10.20375/0000-000f-73d1-3
title: results-overview.pdf
DOI: 10.48320/f7c399eb-3ced-4009-9996-393472d9d042
title: Military Conscription in the Perception of the Russian Population (Public Opinion Polls by the Levada Center)
DOI: 10.5281/zenodo.7037636
title: National SDG-7 performance assessment to support achieving sustainable energy for all within planetary limits

description: Supplementary materials for publication Gebara et al. 2022, "National SDG-7 performance assessment to support achieving sustainable energy for all within planetary limits".
DOI: 10.6084/m9.figshare.21152203
title: Simulation data in a GRL manuscript

description: LES outputs from the computational domains (dx=500m, 250m, 70m, 35m) and the flight simulation code and its outputs. Each data covers wind, pressure, and potential temperature data between the surface to 7-8km on 10:00 UTC, Dec. 30, 2020, and can be easily visualized using attatched grads ctl and script files.
DOI: 10.6084/m9.figshare.21152203.v1
title: data.tar

description: LES outputs from the computational domains (dx=500m, 250m, 70m, 35m) and the flight simulation code and its outputs. Each data covers wind, pressure, and potential temperature data between the surface to 7-8km on 10:00 UTC, Dec. 30, 2020, and can be easily visualized using attatched grads ctl and script files.
DOI: 10.6084/m9.figshare.20763676
title: 01-09-2022 - SMN - Noise Induced Hearing Loss (NIHL) and vibration exposure amongst workers.docx

description: Hearing loss is irreversible and the National Institute of Occupational Safety and Health (NIOSH) has stated that NIHL (noise induced hearing loss) is one of the 10 highest rates of occupational illness in the United States. Various studies show that there is a correlation between noise and NIHL which is exacerbated by exposure to vibration. This study aims to analyze the correlation between noise and vibration exposure to NIHL in oil refinery workers. The total population in the oil refinery were 299 workers. The research design employed in this study was a descriptive study with a cross-sectional research method. The inclusion criteria applied in this study were oil and gas workers who work in oil refineries and had been exposed the noise, have periodic audiometric examination, and had exposed the hand-arm vibration. The exclusion criteria were workers who had experienced and history of hearing loss before they worked in this company, had no audiometric records, had a hobby of music and shooting, has Diabetes Mellitus illness, suffer from mix hearing sensorineural and conductive, and retired before and during the period of this research. As a result, the total sample number in this study were 108 workers. Noise level and hand-arm vibration have significant relationship as well as strong correlation with NIHL both ears status of the workers. The results showed that the workers who had exposed to noise have a higher risk of 3.5 times to suffer NIHL in both ears. Moreover, the workers who had exposed to combination between noise, vibration and have smoking habits have a higher risk of 3.9 times and 5.12 times respectively to suffer NIHL in both ears. The higher of noise and vibration level and the longer the duration of exposure, the higher the risk of NIHL
DOI: 10.6084/m9.figshare.20763676.v2
title: 01-09-2022 - SMN - Noise Induced Hearing Loss (NIHL) and vibration exposure amongst workers.docx

description: Hearing loss is irreversible and the National Institute of Occupational Safety and Health (NIOSH) has stated that NIHL (noise induced hearing loss) is one of the 10 highest rates of occupational illness in the United States. Various studies show that there is a correlation between noise and NIHL which is exacerbated by exposure to vibration. This study aims to analyze the correlation between noise and vibration exposure to NIHL in oil refinery workers. The total population in the oil refinery were 299 workers. The research design employed in this study was a descriptive study with a cross-sectional research method. The inclusion criteria applied in this study were oil and gas workers who work in oil refineries and had been exposed the noise, have periodic audiometric examination, and had exposed the hand-arm vibration. The exclusion criteria were workers who had experienced and history of hearing loss before they worked in this company, had no audiometric records, had a hobby of music and shooting, has Diabetes Mellitus illness, suffer from mix hearing sensorineural and conductive, and retired before and during the period of this research. As a result, the total sample number in this study were 108 workers. Noise level and hand-arm vibration have significant relationship as well as strong correlation with NIHL both ears status of the workers. The results showed that the workers who had exposed to noise have a higher risk of 3.5 times to suffer NIHL in both ears. Moreover, the workers who had exposed to combination between noise, vibration and have smoking habits have a higher risk of 3.9 times and 5.12 times respectively to suffer NIHL in both ears. The higher of noise and vibration level and the longer the duration of exposure, the higher the risk of NIHL
DOI: 10.5281/zenodo.6668915
title: Zhaojie yu GRL submitted

description: Zhaojie yu GRL submitted RAW DATA
DOI: 10.5281/zenodo.6668914
title: Zhaojie yu GRL submitted

description: Zhaojie yu GRL submitted RAW DATA
DOI: 10.5281/zenodo.7089974
title: Zhaojie yu GRL submitted

description: Zhaojie yu GRL submitted RAW DATA
DOI: 10.15468/apmdvw
title: A Checklist of plants in Coastal Environments within Emohua Local Government Area, Rivers State, Nigeria

description: This is a checklist of plants in Coastal Environments within Emohua Local Government Area, Rivers State, Nigeria
DOI: 10.5281/zenodo.6784047
title: Supplementary Data - Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer network

description: <strong>Supplementary data 1</strong>: Peak annotation evaluation between MetDNA1 and KGMN (MetDNA2) <strong>Supplementary data 2</strong>: 46 standard mixture (46std_mix) and the knowledge-based metabolic reaction network <strong>Supplementary data 3</strong>: KGMN results of 46std_mix data set and validation results <strong>Supplementary data 4</strong>: KGMN results of NIST urine data sets and validation results <strong>Supplementary data 5</strong>: KGMN results of different biological samples <strong>Supplementary data 6</strong>: Recurrent unknowns of NIST urine via repository-mining <strong>Supplementary data 7</strong>: Table of adducts, neutral losses, empirical rules in KGMN
DOI: 10.5281/zenodo.6784048
title: Supplementary Data - Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer network

description: <strong>Supplementary data 1</strong>: Peak annotation evaluation between MetDNA1 and KGMN (MetDNA2) <strong>Supplementary data 2</strong>: 46 standard mixture (46std_mix) and the knowledge-based metabolic reaction network <strong>Supplementary data 3</strong>: KGMN results of 46std_mix data set and validation results <strong>Supplementary data 4</strong>: KGMN results of NIST urine data sets and validation results <strong>Supplementary data 5</strong>: KGMN results of different biological samples <strong>Supplementary data 6</strong>: Recurrent unknowns of NIST urine via repository-mining <strong>Supplementary data 7</strong>: Table of adducts, neutral losses, empirical rules in KGMN
DOI: 10.5281/zenodo.6800558
title: Supplementary Data - Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer network

description: <strong>Supplementary data 1</strong>: Peak annotation evaluation between MetDNA1 and KGMN (MetDNA2) <strong>Supplementary data 2</strong>: 46 standard mixture (46std_mix) and the knowledge-based metabolic reaction network <strong>Supplementary data 3</strong>: KGMN results of 46std_mix data set and validation results <strong>Supplementary data 4</strong>: KGMN results of NIST urine data sets and validation results <strong>Supplementary data 5</strong>: KGMN results of different biological samples <strong>Supplementary data 6</strong>: Recurrent unknowns of NIST urine via repository-mining <strong>Supplementary data 7</strong>: Table of adducts, neutral losses, empirical rules in KGMN
DOI: 10.5281/zenodo.7089991
title: Supplementary Data - Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer network

description: <strong>Supplementary data 1</strong>: Peak annotation evaluation between MetDNA1 and KGMN (MetDNA2) <strong>Supplementary data 2</strong>: 46 standard mixture (46std_mix) and the knowledge-based metabolic reaction network <strong>Supplementary data 3</strong>: KGMN results of 46std_mix data set and validation results <strong>Supplementary data 4</strong>: KGMN results of NIST urine data sets and validation results <strong>Supplementary data 5</strong>: KGMN results of different biological samples <strong>Supplementary data 6</strong>: Recurrent unknowns of NIST urine via repository-mining <strong>Supplementary data 7</strong>: Table of adducts, neutral losses, empirical rules in KGMN
DOI: 10.20375/0000-000f-73d3-1
title: DocuDataCollection.pdf
DOI: 10.20375/0000-000f-73d4-0
title: original-data.sav
DOI: 10.20375/0000-000f-73d5-f
title: original-data.xlsx
DOI: 10.48320/ff4daabd-bb92-4670-9fd0-8a43a7b644de
title: Western Sanctions in the Perception of the Russian Population (Public Opinion Polls by the Levada Center)
DOI: 10.6084/m9.figshare.21152242
title: Tutorial Data

description: Silvin, A., Chapuis, N., Dunsmore, G., Goubet, A.G., Dubuisson, A., Derosa, L., Almire, C., Hénon, C., Kosmider, O., Droin, N. and Rameau, P., 2020. Elevated calprotectin and abnormal myeloid cell subsets discriminate severe from mild COVID-19. Cell, 182(6), pp.1401-1418.
DOI: 10.6084/m9.figshare.21152242.v1
title: Tutorial Data

description: Silvin, A., Chapuis, N., Dunsmore, G., Goubet, A.G., Dubuisson, A., Derosa, L., Almire, C., Hénon, C., Kosmider, O., Droin, N. and Rameau, P., 2020. Elevated calprotectin and abnormal myeloid cell subsets discriminate severe from mild COVID-19. Cell, 182(6), pp.1401-1418.
DOI: 10.34820/fk2/sqwxyn/flwdet
title: row_6.csv

description: jarak 10 cm, daya 25 W
DOI: 10.34820/fk2/sqwxyn/30z17m
title: data_5-1.png

description: jarak 10 cm, daya 30 W
DOI: 10.34820/fk2/sqwxyn/hlxxnf
title: row_2-1.csv

description: jarak 10 cm, daya 30 W
DOI: 10.34820/fk2/sqwxyn/epwiec
title: data_5-2.png

description: jarak 10 cm, daya 35 W
DOI: 10.34820/fk2/sqwxyn/57jgcr
title: data_4-2.png

description: jarak 10 cm, daya 35 W
DOI: 10.34820/fk2/sqwxyn/ytktgs
title: data_2-1.png

description: jarak 10 cm, daya 30 W
DOI: 10.34820/fk2/sqwxyn/gcmlhz
title: row_5-1.csv

description: jarak 10 cm, daya 30 W
DOI: 10.34820/fk2/sqwxyn/n2p0dj
title: row_1.csv

description: jarak 10 cm, daya 25 W
DOI: 10.34820/fk2/sqwxyn/pelwro
title: row_2.csv

description: jarak 10 cm, daya 25 W
DOI: 10.34820/fk2/sqwxyn/yojyfd
title: row_2-2.csv

description: jarak 10 cm, daya 35 W
DOI: 10.34820/fk2/sqwxyn/0llcd1
title: data_1-2.png

description: jarak 10 cm, daya 35 W
DOI: 10.34820/fk2/sqwxyn/909dvu
title: data_3.png

description: jarak 10 cm, daya 25 W
DOI: 10.34820/fk2/sqwxyn/okomwp
title: data_4.png

description: jarak 10 cm, daya 25 W
DOI: 10.34820/fk2/sqwxyn/l63mjk
title: row_1-2.csv

description: jarak 10 cm, daya 35 W
DOI: 10.34820/fk2/sqwxyn/giikjr
title: data_2-2.png

description: jarak 10 cm, daya 35 W
DOI: 10.34820/fk2/sqwxyn/t9xlow
title: row_4.csv

description: jarak 10 cm, daya 25 W
DOI: 10.34820/fk2/sqwxyn/vpebjl
title: data_4-1.png

description: jarak 10 cm, daya 30 W
DOI: 10.34820/fk2/sqwxyn/jgf01k
title: row_5.csv

description: jarak 10 cm, daya 25 W