cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21k37z
title: CCDC 1893270: Experimental Crystal Structure Determination

description: Related Article: Xiang-Yu Zhang, Dan- Dan Zhai, Yu-Feng Liu, Bing-Tao Guan|2022|J.Organomet.Chem.|961|122254|doi:10.1016/j.jorganchem.2022.122254
DOI: 10.5517/ccdc.csd.cc21nk3d
title: CCDC 1896583: Experimental Crystal Structure Determination

description: Related Article: Narumasa Saito, Jun Takaya, Nobuharu Iwasawa|2019|Angew.Chem.,Int.Ed.|58|9998|doi:10.1002/anie.201904968
DOI: 10.5517/ccdc.csd.cc21nk4f
title: CCDC 1896584: Experimental Crystal Structure Determination

description: Related Article: Narumasa Saito, Jun Takaya, Nobuharu Iwasawa|2019|Angew.Chem.,Int.Ed.|58|9998|doi:10.1002/anie.201904968
DOI: 10.5517/ccdc.csd.cc21nk5g
title: CCDC 1896585: Experimental Crystal Structure Determination

description: Related Article: Narumasa Saito, Jun Takaya, Nobuharu Iwasawa|2019|Angew.Chem.,Int.Ed.|58|9998|doi:10.1002/anie.201904968
DOI: 10.5517/ccdc.csd.cc21nk6h
title: CCDC 1896586: Experimental Crystal Structure Determination

description: Related Article: Narumasa Saito, Jun Takaya, Nobuharu Iwasawa|2019|Angew.Chem.,Int.Ed.|58|9998|doi:10.1002/anie.201904968
DOI: 10.5517/ccdc.csd.cc21nk7j
title: CCDC 1896587: Experimental Crystal Structure Determination

description: Related Article: Narumasa Saito, Jun Takaya, Nobuharu Iwasawa|2019|Angew.Chem.,Int.Ed.|58|9998|doi:10.1002/anie.201904968
DOI: 10.5517/ccdc.csd.cc21nk8k
title: CCDC 1896588: Experimental Crystal Structure Determination

description: Related Article: Narumasa Saito, Jun Takaya, Nobuharu Iwasawa|2019|Angew.Chem.,Int.Ed.|58|9998|doi:10.1002/anie.201904968
DOI: 10.25505/fiz.icsd.cc21lvr8
title: CSD 1894960: Experimental Crystal Structure Determination

description: Related Article: Alexandre Mer, Saïd Obbade, Philippe Devaux, Francis Abraham|2019|Cryst.Growth Des.|19|3305|doi:10.1021/acs.cgd.9b00171
DOI: 10.25505/fiz.icsd.cc21lvs9
title: CSD 1894961: Experimental Crystal Structure Determination

description: Related Article: Alexandre Mer, Saïd Obbade, Philippe Devaux, Francis Abraham|2019|Cryst.Growth Des.|19|3305|doi:10.1021/acs.cgd.9b00171
DOI: 10.25505/fiz.icsd.cc21lvtb
title: CSD 1894962: Experimental Crystal Structure Determination

description: Related Article: Alexandre Mer, Saïd Obbade, Philippe Devaux, Francis Abraham|2019|Cryst.Growth Des.|19|3305|doi:10.1021/acs.cgd.9b00171
DOI: 10.25505/fiz.icsd.cc21lvvc
title: CSD 1894963: Experimental Crystal Structure Determination

description: Related Article: Alexandre Mer, Saïd Obbade, Philippe Devaux, Francis Abraham|2019|Cryst.Growth Des.|19|3305|doi:10.1021/acs.cgd.9b00171
DOI: 10.25505/fiz.icsd.cc222c5q
title: CSD 1908892: Experimental Crystal Structure Determination

description: Related Article: Maxim Bykov, Kirill Yusenko, Elena Bykova, Anna Pakhomova, Werner Kraus, Natalia Dubrovinskaia, Leonid Dubrovinsky|2019|Eur.J.Inorg.Chem.|2019|3667|doi:10.1002/ejic.201900488
DOI: 10.25505/fiz.icsd.cc222g5t
title: CSD 1908985: Experimental Crystal Structure Determination

description: Related Article: Yangwu Guo, Fei Liang, Zhuang Li, Wenhao Xing, Zhe-shuai Lin, Jiyong Yao, Arthur Mar||, Yicheng Wu|2019|Inorg.Chem.|58|10390|doi:10.1021/acs.inorgchem.9b01572
DOI: 10.25505/fiz.icsd.cc222g6v
title: CSD 1908986: Experimental Crystal Structure Determination

description: Related Article: Yangwu Guo, Fei Liang, Zhuang Li, Wenhao Xing, Zhe-shuai Lin, Jiyong Yao, Arthur Mar||, Yicheng Wu|2019|Inorg.Chem.|58|10390|doi:10.1021/acs.inorgchem.9b01572
DOI: 10.25505/fiz.icsd.cc222g7w
title: CSD 1908987: Experimental Crystal Structure Determination

description: Related Article: Yangwu Guo, Fei Liang, Zhuang Li, Wenhao Xing, Zhe-shuai Lin, Jiyong Yao, Arthur Mar||, Yicheng Wu|2019|Inorg.Chem.|58|10390|doi:10.1021/acs.inorgchem.9b01572
DOI: 10.6084/m9.figshare.16786639
title: The provenance analyses of the Urumqi River Late Cenozoic terrigenous sediments

description: The provenance data (zircon U-Pb dating and heavy mineral assemblage) of the Urumqi River Late Cenozoic terrigenous sediments in the northern Chinese Tian Shan foreland. These data have been used in our paper by Honghua Lu and the co-authors: Document and date shifts in sediment provenance in the northern Chinese Tian Shan: Insights into origin of late Quaternary gravel and landscape evolution.
DOI: 10.6084/m9.figshare.16786639.v1
title: The provenance analyses of the Urumqi River Late Cenozoic terrigenous sediments

description: The provenance data (zircon U-Pb dating and heavy mineral assemblage) of the Urumqi River Late Cenozoic terrigenous sediments in the northern Chinese Tian Shan foreland. These data have been used in our paper by Honghua Lu and the co-authors: Document and date shifts in sediment provenance in the northern Chinese Tian Shan: Insights into origin of late Quaternary gravel and landscape evolution.
DOI: 10.6084/m9.figshare.17113162
title: Characterization of serum N-glycome alterations in seasonal allergic rhinitis using MALDI-TOF-MS: A pilot study

description: Seasonal allergic rhinitis (SAR) is an inflammatory process. In this pilot study, matrix assisted laser desorption ionization-mass spectrometry (MALDI-MS)-based analyses were conducted to investigate the effects of SAR on serum N-glycome in a small dataset (<i>n</i> = 10 for both SAR patients and controls). It was detected that two N-glycan compositions (H6N5E2L1 and H6N5E1L2) were down-regulated in SAR patients. Additionally, five tri-antennary N-glycan traits, including both galactosylated and sialylated (A3GS and A3GL) and non-fucosylated (A3F0GE, A3F0GL, A3F0GS) ones, were decreased. Furthermore, three high-antennary and fucosylated N-glycan traits (A3F, A3EF and A4F) were increased in SAR patients compared to controls.
DOI: 10.6084/m9.figshare.17113162.v1
title: Characterization of serum N-glycome alterations in seasonal allergic rhinitis using MALDI-TOF-MS: A pilot study

description: Seasonal allergic rhinitis (SAR) is an inflammatory process. In this pilot study, matrix assisted laser desorption ionization-mass spectrometry (MALDI-MS)-based analyses were conducted to investigate the effects of SAR on serum N-glycome in a small dataset (<i>n</i> = 10 for both SAR patients and controls). It was detected that two N-glycan compositions (H6N5E2L1 and H6N5E1L2) were down-regulated in SAR patients. Additionally, five tri-antennary N-glycan traits, including both galactosylated and sialylated (A3GS and A3GL) and non-fucosylated (A3F0GE, A3F0GL, A3F0GS) ones, were decreased. Furthermore, three high-antennary and fucosylated N-glycan traits (A3F, A3EF and A4F) were increased in SAR patients compared to controls.
DOI: 10.6084/m9.figshare.18239126
title: Supplementary Material for: Machine Learning Algorithms as a Computer-Assisted Decision Tool for Oral Cancer Prognosis and Management Decisions: A Systematic Review

description: <b><i>Introduction:</i></b> Despite multiple prognostic indicators described for oral cavity squamous cell carcinoma (OCSCC), its management still continues to be a matter of debate. Machine learning is a subset of artificial intelligence that enables computers to learn from historical data, gather insights, and make predictions about new data using the model learned. Therefore, it can be a potential tool in the field of head and neck cancer. <b><i>Methods:</i></b> We conducted a systematic review. <b><i>Results:</i></b> A total of 81 manuscripts were revised, and 46 studies met the inclusion criteria. Of these, 38 were excluded for the following reasons: use of a classical statistical method (<i>N</i> = 16), nonspecific for OCSCC (<i>N</i> = 15), and not being related to OCSCC survival (<i>N</i> = 7). In total, 8 studies were included in the final analysis. <b><i>Conclusions:</i></b> ML has the potential to significantly advance research in the field of OCSCC. Advantages are related to the use and training of ML models because of their capability to continue training continuously when more data become available. Future ML research will allow us to improve and democratize the application of algorithms to improve the prediction of cancer prognosis and its management worldwide.
DOI: 10.6084/m9.figshare.18239126.v1
title: Supplementary Material for: Machine Learning Algorithms as a Computer-Assisted Decision Tool for Oral Cancer Prognosis and Management Decisions: A Systematic Review

description: <b><i>Introduction:</i></b> Despite multiple prognostic indicators described for oral cavity squamous cell carcinoma (OCSCC), its management still continues to be a matter of debate. Machine learning is a subset of artificial intelligence that enables computers to learn from historical data, gather insights, and make predictions about new data using the model learned. Therefore, it can be a potential tool in the field of head and neck cancer. <b><i>Methods:</i></b> We conducted a systematic review. <b><i>Results:</i></b> A total of 81 manuscripts were revised, and 46 studies met the inclusion criteria. Of these, 38 were excluded for the following reasons: use of a classical statistical method (<i>N</i> = 16), nonspecific for OCSCC (<i>N</i> = 15), and not being related to OCSCC survival (<i>N</i> = 7). In total, 8 studies were included in the final analysis. <b><i>Conclusions:</i></b> ML has the potential to significantly advance research in the field of OCSCC. Advantages are related to the use and training of ML models because of their capability to continue training continuously when more data become available. Future ML research will allow us to improve and democratize the application of algorithms to improve the prediction of cancer prognosis and its management worldwide.
DOI: 10.34740/kaggle/dsv/3033573
title: Contrastive Language Image Pretraining by openai
DOI: 10.5519/qd.4775x6ld
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.6084/m9.figshare.16575233
title: MdBBX1 raw data

description: Transcription factors play an important role in regulating plant growth, development and environmental adaptation. A class of zinc-finger transcription factors with B-box domains is called BBX, and they participate in plant photomorphogenesis, flower development, shade avoidance, and plant signal transduction by regulating gene transcription and interacting with similar or other transcription factors.
DOI: 10.6084/m9.figshare.16575233.v1
title: MdBBX1 raw data

description: Transcription factors play an important role in regulating plant growth, development and environmental adaptation. A class of zinc-finger transcription factors with B-box domains is called BBX, and they participate in plant photomorphogenesis, flower development, shade avoidance, and plant signal transduction by regulating gene transcription and interacting with similar or other transcription factors.
DOI: 10.6084/m9.figshare.17111099
title: Supplementary Material for: Circulating irisin levels in preadolescents and adolescents born preterm

description: Introduction. Prematurity is associated with increased cardiometabolic risk later in life. The adipomyokine irisin has been acknowledged as a modulator of energy metabolism and insulin sensitivity. The aim of this study was to investigate circulating levels of irisin and their relation to anthropometric measurements and cardiometabolic phenotype in a population of preterm-born children vs. full-term-born peers. Methods. A total of 160 children (87 born preterm aged 8.1-14.8 years and 73 born full-term of similar age and gender distribution) were studied. Arterial blood pressure, anthropometry, body composition assessments with dual energy X-ray absorptiometry (DXA) and skin fold measurements were performed. Blood biochemistry and circulating levels of irisin, insulin, cortisol, leptin, and adiponectin were also determined. Results. The preterm group had higher diastolic blood pressure, triceps skin fold, subscapular skin fold (SSF) and abdominal skin fold measurements and more central adiposity than the full-term group. Irisin was significantly lower (p=0.002), whereas leptin was higher (p=0.03), in the preterm than the full-term group. Irisin correlated positively with gestational age (r=0.19, p=0.01), birthweight (r=0.23, p=0.003) and high-density lipoprotein cholesterol (r=0.20, p=0.01), and negatively with SSSF (r=-0.25 p=0.003) and chronological age (r=-0.21, p=0.008). Conclusion. Lower levels of irisin and a slightly unhealthy adiposity and cardiometabolic pattern were detected in preterm-born children in comparison to their full-term-born peers. Whether low irisin levels in preadolescents and adolescents born prematurely could be of prognostic value for the development of cardiometabolic sequelae later in life remains to be further studied.
DOI: 10.6084/m9.figshare.17111099.v1
title: Supplementary Material for: Circulating irisin levels in preadolescents and adolescents born preterm

description: Introduction. Prematurity is associated with increased cardiometabolic risk later in life. The adipomyokine irisin has been acknowledged as a modulator of energy metabolism and insulin sensitivity. The aim of this study was to investigate circulating levels of irisin and their relation to anthropometric measurements and cardiometabolic phenotype in a population of preterm-born children vs. full-term-born peers. Methods. A total of 160 children (87 born preterm aged 8.1-14.8 years and 73 born full-term of similar age and gender distribution) were studied. Arterial blood pressure, anthropometry, body composition assessments with dual energy X-ray absorptiometry (DXA) and skin fold measurements were performed. Blood biochemistry and circulating levels of irisin, insulin, cortisol, leptin, and adiponectin were also determined. Results. The preterm group had higher diastolic blood pressure, triceps skin fold, subscapular skin fold (SSF) and abdominal skin fold measurements and more central adiposity than the full-term group. Irisin was significantly lower (p=0.002), whereas leptin was higher (p=0.03), in the preterm than the full-term group. Irisin correlated positively with gestational age (r=0.19, p=0.01), birthweight (r=0.23, p=0.003) and high-density lipoprotein cholesterol (r=0.20, p=0.01), and negatively with SSSF (r=-0.25 p=0.003) and chronological age (r=-0.21, p=0.008). Conclusion. Lower levels of irisin and a slightly unhealthy adiposity and cardiometabolic pattern were detected in preterm-born children in comparison to their full-term-born peers. Whether low irisin levels in preadolescents and adolescents born prematurely could be of prognostic value for the development of cardiometabolic sequelae later in life remains to be further studied.
DOI: 10.6084/m9.figshare.18239267
title: Supplement Niabella beijingensis sp. nov. and Thermomonas beijingensis sp. nov., two bacteria from constructed wetland

description: <b>图 S1。</b>菌株 3A5MI-3<sup> T</sup> (A) 和 RSS-23<sup> T</sup> (B) 的透射电子显微镜图像。<b>图 S2。</b>二维 TLC后菌株3A5MI-3 <sup>T</sup> (A) 和 RSS-23<sup> T</sup> (B) 的极性脂质谱并用钼磷酸染色。<b>图 S3。</b>基于 16S rRNA 基因序列的最大似然 (ML; A) 和最大简约 (MP; B) 系统发育树，显示了 3A5MI-3<sup> T</sup> 在密切相关的分类群中的系统发育位置。节点处的数字表示产生此拓扑的 1000 个引导复制的百分比；仅显示 &gt;50 % 的值。<b>Fig. S4. </b>Maximum Likelihood (ML; A) and Maximum Parsimony (MP; B) phylogenetic tree based on 16S rRNA gene sequences, showing the phylogenetic position of RSS-23<sup>T</sup> among closely related taxa. Numbers at nodes indicate the percentage of 1000 bootstrap replicates yielding this topology; only values &gt;50 % are shown.
DOI: 10.6084/m9.figshare.18239267.v1
title: Supplement Niabella beijingensis sp. nov. and Thermomonas beijingensis sp. nov., two bacteria from constructed wetland

description: <b>图 S1。</b>菌株 3A5MI-3<sup> T</sup> (A) 和 RSS-23<sup> T</sup> (B) 的透射电子显微镜图像。<b>图 S2。</b>二维 TLC后菌株3A5MI-3 <sup>T</sup> (A) 和 RSS-23<sup> T</sup> (B) 的极性脂质谱并用钼磷酸染色。<b>图 S3。</b>基于 16S rRNA 基因序列的最大似然 (ML; A) 和最大简约 (MP; B) 系统发育树，显示了 3A5MI-3<sup> T</sup> 在密切相关的分类群中的系统发育位置。节点处的数字表示产生此拓扑的 1000 个引导复制的百分比；仅显示 &gt;50 % 的值。<b>Fig. S4. </b>Maximum Likelihood (ML; A) and Maximum Parsimony (MP; B) phylogenetic tree based on 16S rRNA gene sequences, showing the phylogenetic position of RSS-23<sup>T</sup> among closely related taxa. Numbers at nodes indicate the percentage of 1000 bootstrap replicates yielding this topology; only values &gt;50 % are shown.
DOI: 10.25505/fiz.icsd.cc222tqq
title: CSD 1909343: Experimental Crystal Structure Determination

description: Related Article: Justin Mark,  Jian Wang,  Kui Wu,  Jeane Gladys Lo,  Shannon Lee,  Kirill Kovnir|2019|J.Am.Chem.Soc.|141|11976|doi:10.1021/jacs.9b04653
DOI: 10.25505/fiz.icsd.cc223dn8
title: CSD 1909899: Experimental Crystal Structure Determination

description: Related Article: Tamilarasan Subramani, Mohamed Ruwaid Rafiuddin, Anna Shelyug, Sergey Ushakov, Adel Mesbah, Nicolas Clavier, Danwen Qin, Stephanie Szenknect, Erik Elkaim, Nicolas Dacheux, Alexandra Navrotsky|2019|Cryst.Growth Des.|19|4641|doi:10.1021/acs.cgd.9b00524
DOI: 10.25505/fiz.icsd.cc223dp9
title: CSD 1909900: Experimental Crystal Structure Determination

description: Related Article: Tamilarasan Subramani, Mohamed Ruwaid Rafiuddin, Anna Shelyug, Sergey Ushakov, Adel Mesbah, Nicolas Clavier, Danwen Qin, Stephanie Szenknect, Erik Elkaim, Nicolas Dacheux, Alexandra Navrotsky|2019|Cryst.Growth Des.|19|4641|doi:10.1021/acs.cgd.9b00524
DOI: 10.25505/fiz.icsd.cc223dqb
title: CSD 1909901: Experimental Crystal Structure Determination

description: Related Article: Tamilarasan Subramani, Mohamed Ruwaid Rafiuddin, Anna Shelyug, Sergey Ushakov, Adel Mesbah, Nicolas Clavier, Danwen Qin, Stephanie Szenknect, Erik Elkaim, Nicolas Dacheux, Alexandra Navrotsky|2019|Cryst.Growth Des.|19|4641|doi:10.1021/acs.cgd.9b00524
DOI: 10.25505/fiz.icsd.cc223y7d
title: CSD 1910413: Experimental Crystal Structure Determination

description: Related Article: Parisa Jafarzadeh, Maegan R. Rodrigues, Yixuan Shi, Abdeljalil Assoud, Tianze Zou, Jan B. Kycia, Holger Kleinke|2019|Dalton Trans.|48|9357|doi:10.1039/C9DT01616C
DOI: 10.25505/fiz.icsd.cc223y8f
title: CSD 1910414: Experimental Crystal Structure Determination

description: Related Article: Parisa Jafarzadeh, Maegan R. Rodrigues, Yixuan Shi, Abdeljalil Assoud, Tianze Zou, Jan B. Kycia, Holger Kleinke|2019|Dalton Trans.|48|9357|doi:10.1039/C9DT01616C
DOI: 10.25505/fiz.icsd.cc223y9g
title: CSD 1910415: Experimental Crystal Structure Determination

description: Related Article: Parisa Jafarzadeh, Maegan R. Rodrigues, Yixuan Shi, Abdeljalil Assoud, Tianze Zou, Jan B. Kycia, Holger Kleinke|2019|Dalton Trans.|48|9357|doi:10.1039/C9DT01616C
DOI: 10.25505/fiz.icsd.cc2243fs
title: CSD 1910574: Experimental Crystal Structure Determination

description: Related Article: Markus Ströbele, Hans-Jürgen Meyer|2019|Inorg.Chem.|58|12867|doi:10.1021/acs.inorgchem.9b01812
DOI: 10.25505/fiz.icsd.cc2244gv
title: CSD 1910606: Experimental Crystal Structure Determination

description: Related Article: Zachary A. Kelly, Thao T. Tran, Tyrel M. McQueen|2019|Inorg.Chem.|58|11941|doi:10.1021/acs.inorgchem.9b01110
DOI: 10.25505/fiz.icsd.cc2244hw
title: CSD 1910607: Experimental Crystal Structure Determination

description: Related Article: Zachary A. Kelly, Thao T. Tran, Tyrel M. McQueen|2019|Inorg.Chem.|58|11941|doi:10.1021/acs.inorgchem.9b01110
DOI: 10.25505/fiz.icsd.cc224g0q
title: CSD 1910902: Experimental Crystal Structure Determination

description: Related Article: Markus Ströbele, Hans-Jürgen Meyer|2019|Inorg.Chem.|58|12867|doi:10.1021/acs.inorgchem.9b01812
DOI: 10.5517/ccdc.csd.cc224grg
title: CCDC 1910925: Experimental Crystal Structure Determination

description: Related Article: Rasapalli Sivappa, Vamshikrishna Reddy Sammeta, Yanchang Huang, James A. Golen, Sergey N. Savinov|2019|RSC Advances|9|29659|doi:10.1039/C9RA05841A
description: Related Article: Vamshikrishnareddy Sammeta, Sivappa Rasapalli, James A Golen|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc224gvk
title: CCDC 1910928: Experimental Crystal Structure Determination

description: Related Article: Rasapalli Sivappa, Vamshikrishna Reddy Sammeta, Yanchang Huang, James A. Golen, Sergey N. Savinov|2019|RSC Advances|9|29659|doi:10.1039/C9RA05841A
description: Related Article: Vamshikrishnareddy Sammeta, Sivappa Rasapalli, James A Golen|2019|CSD Communication|||
DOI: 10.15470/5htffh
title: Community of macroparasites of the Pacific barracuda Sphyraena ensis Jordan and Gilbert, 1882 (Perciformes, Sphyraenidae) from the north coast of Peru

description: This study aimed to report the community of macroparasites of the Pacific barracuda Sphyraena ensis Jordan and Gilbert, 1882 (Perciformes: Sphyraenidae) from the north coast of Peru. From September to October 2019, 138 specimens of S. ensis were acquired from Caleta de Zorritos, Contralmirante Villar Province, Tumbes, on the north coast of Peru. The community of parasites found consisted of nine species of parasites including monogeneans, copepods, trematodes and nematodes. The total body length of the fish was negatively correlated with the mean intensity of infestation of Pseudochauhanea sp. The mean abundance of Pseudochauhanea sp. also showed a marked significant difference between the populations of male and female fish, being more associated with males. We provide a list of macroparasites recorded in fish of the genus Sphyraena in the Eastern Pacific Ocean.
DOI: 10.34740/kaggle/dsv/3033753
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.6084/m9.figshare.18226733
title: The accession numbers of the sequences on the database relating to the specific or characteristic genes of the strains 3A5MI-3T, N. pedocola JCM 31011T, RSS-23T and T. fusca DSM 15424T.

description: The accession numbers of the sequences on the database relating to the specific or characteristic genes of the strains 3A5MI-3<sup>T</sup>, <i>N. pedocola</i> JCM 31011<sup>T</sup>, RSS-23<sup>T</sup> and <i>T. fusca</i> DSM 15424<sup>T</sup> as supplementary files.
DOI: 10.6084/m9.figshare.18226733.v2
title: The accession numbers of the sequences on the database relating to the specific or characteristic genes of the strains 3A5MI-3T, N. pedocola JCM 31011T, RSS-23T and T. fusca DSM 15424T.

description: The accession numbers of the sequences on the database relating to the specific or characteristic genes of the strains 3A5MI-3<sup>T</sup>, <i>N. pedocola</i> JCM 31011<sup>T</sup>, RSS-23<sup>T</sup> and <i>T. fusca</i> DSM 15424<sup>T</sup> as supplementary files.
DOI: 10.6084/m9.figshare.18226733.v1
title: The accession numbers of the sequences on the database relating to the specific or characteristic genes of the strains 3A5MI-3T, N. pedocola JCM 31011T, RSS-23T and T. fusca DSM 15424T.

description: The accession numbers of the sequences on the database relating to the specific or characteristic genes of the strains 3A5MI-3<sup>T</sup>, <i>N. pedocola</i> JCM 31011<sup>T</sup>, RSS-23<sup>T</sup> and <i>T. fusca</i> DSM 15424<sup>T</sup> as supplementary files.
DOI: 10.26188/61de82451c2e5
title: Appendices for Victoria's Energy Transition.docx

description: This is a data for an article submitted to <em>Renewable and Sustainable Energy Reviews . The article is </em>Planning Victoria's Energy Transition
DOI: 10.34740/kaggle/dsv/2535564
title: Radial Wicking Dataset