cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14651175
title: Additional file 22 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional File 21. Data S7. Phylogenetic tree of PQQ-containing alcohol dehydrogenases reference sequences and homologs identified among unique sequences from both genome sets.
DOI: 10.6084/m9.figshare.14651172.v1
title: Additional file 21 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 20: Table S13. Unique sequences from both genome sets confirmed to be homologous to methanol dehydrogenases.
DOI: 10.6084/m9.figshare.14651175.v1
title: Additional file 22 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional File 21. Data S7. Phylogenetic tree of PQQ-containing alcohol dehydrogenases reference sequences and homologs identified among unique sequences from both genome sets.
DOI: 10.6084/m9.figshare.14651157
title: Additional file 16 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 15: Table S10. Unique sequences from both genome sets confirmed to be homologous to FeFe hydrogenases groups A, B or C based on a phylogenetic analysis. Sequences identified among the 248 representative genomes were used in analyses based on presence/absence. Sequences identified among the 215 representative genomes were used in transcript analyses.
DOI: 10.6084/m9.figshare.14651178.v1
title: Additional file 23 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional File 22: Table S14. Unique sequences from both genome sets homologous to DsrAB. Subtype is indicated next to the sequences.
DOI: 10.6084/m9.figshare.14651181
title: Additional file 24 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 23. Data S8: Phylogenetic tree of concatenated DsrAB reference sequences and homologs identified among unique sequences from both genome sets.
DOI: 10.6084/m9.figshare.14651181.v1
title: Additional file 24 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 23. Data S8: Phylogenetic tree of concatenated DsrAB reference sequences and homologs identified among unique sequences from both genome sets.
DOI: 10.6084/m9.figshare.14651178
title: Additional file 23 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional File 22: Table S14. Unique sequences from both genome sets homologous to DsrAB. Subtype is indicated next to the sequences.
DOI: 10.6084/m9.figshare.14651184
title: Additional file 2 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 1: Table S1. Sample sequencing and assembly information, and NCBI accession numbers.
DOI: 10.6084/m9.figshare.14651169
title: Additional file 20 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 19. Data S6. Phylogenetic tree of CoxL reference sequences and homologs identified among unique sequences from both genome sets.
DOI: 10.6084/m9.figshare.14651187
title: Additional file 3 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 2: Table S2. Representative genomes (of 248 sub-species clusters at 98% ANI) information. This set of genomes was reconstructed from soil samples collected in September 2015.
DOI: 10.6084/m9.figshare.14651187.v1
title: Additional file 3 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 2: Table S2. Representative genomes (of 248 sub-species clusters at 98% ANI) information. This set of genomes was reconstructed from soil samples collected in September 2015.
DOI: 10.6084/m9.figshare.14651193
title: Additional file 5 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 4: Table S3. Representative genomes (of 215 species clusters at 95% ANI) information. This set of genomes includes genomes reconstructed from samples collected in September 2015 and September 2016.
DOI: 10.6084/m9.figshare.14651184.v1
title: Additional file 2 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 1: Table S1. Sample sequencing and assembly information, and NCBI accession numbers.
DOI: 10.6084/m9.figshare.14651196
title: Additional file 6 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 5. Data S1: Concatenated ribosomal proteins phylogenetic tree of Betaproteobacteria among 248 representative genomes of sub-species level clusters at 98% ANI.
DOI: 10.6084/m9.figshare.14651196.v1
title: Additional file 6 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 5. Data S1: Concatenated ribosomal proteins phylogenetic tree of Betaproteobacteria among 248 representative genomes of sub-species level clusters at 98% ANI.
DOI: 10.6084/m9.figshare.14651199
title: Additional file 7 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 6: Table S4. Presence/Absence of gene homologs identified among 248 representative genomes using selected HMMs. Includes rules used to define functions.
DOI: 10.6084/m9.figshare.14651193.v1
title: Additional file 5 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 4: Table S3. Representative genomes (of 215 species clusters at 95% ANI) information. This set of genomes includes genomes reconstructed from samples collected in September 2015 and September 2016.
DOI: 10.6084/m9.figshare.14651199.v1
title: Additional file 7 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 6: Table S4. Presence/Absence of gene homologs identified among 248 representative genomes using selected HMMs. Includes rules used to define functions.
DOI: 10.6084/m9.figshare.14651202
title: Additional file 8 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 7: Table S5. Results of the indicator species analysis.
DOI: 10.6084/m9.figshare.14651202.v1
title: Additional file 8 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 7: Table S5. Results of the indicator species analysis.
DOI: 10.6084/m9.figshare.14651205.v1
title: Additional file 9 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 8: Table S6. Presence/Absence of functions among 248 representative genomes.
DOI: 10.6084/m9.figshare.14651205
title: Additional file 9 of Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

description: Additional file 8: Table S6. Presence/Absence of functions among 248 representative genomes.
DOI: 10.6084/m9.figshare.14651213
title: Additional file 1 of Cytoplasmic Male Sterility-Associated Mitochondrial Gene orf312 Derived from Rice (Oryza sativa L.) Cultivar Tadukan

description: Additional file 1: Table S1. The seed setting rate of TAA, TAR, and Taichung 65 (T65). Table S2. The position of contigs in TAA mitochondrial subgenome-1 and -2, and plasmid-like molecules. Table S3. TAA-specific open reading frames (orfs). Table S4. The sequences of primers (5′–3′) used in this study
DOI: 10.6084/m9.figshare.14651213.v1
title: Additional file 1 of Cytoplasmic Male Sterility-Associated Mitochondrial Gene orf312 Derived from Rice (Oryza sativa L.) Cultivar Tadukan

description: Additional file 1: Table S1. The seed setting rate of TAA, TAR, and Taichung 65 (T65). Table S2. The position of contigs in TAA mitochondrial subgenome-1 and -2, and plasmid-like molecules. Table S3. TAA-specific open reading frames (orfs). Table S4. The sequences of primers (5′–3′) used in this study
DOI: 10.6084/m9.figshare.14651067
title: Data CD44_PA

description: data contain data CD44 and histopathology of nasopharyngeal carcinoma<br>
DOI: 10.6084/m9.figshare.14651067.v1
title: Data CD44_PA

description: data contain data CD44 and histopathology of nasopharyngeal carcinoma<br>
DOI: 10.6084/m9.figshare.12852756
title: The pyre and the grave: early medieval cremation burials in the Netherlands, the German Rhineland and Belgium

description: This paper problematizes grand-narrative thinking in continental, north western European early medieval (450–800 CE) burial archaeology. Using the existing research history and current debate on early medieval cremation burials, I demonstrate that European early medieval burial archaeology has focused on explaining the development of the furnished inhumation burial since the discipline’s conception. This has led to a misrepresentation of the diversity of early medieval burial practices and reinforced broad, unsatisfactory explanatory models. By including other burial types, like cremation burials, the overall model is changed in terms of what early medieval burial practices comprised, enabling a better understanding of the development of early medieval society.
DOI: 10.6084/m9.figshare.12852756.v1
title: The pyre and the grave: early medieval cremation burials in the Netherlands, the German Rhineland and Belgium

description: This paper problematizes grand-narrative thinking in continental, north western European early medieval (450–800 CE) burial archaeology. Using the existing research history and current debate on early medieval cremation burials, I demonstrate that European early medieval burial archaeology has focused on explaining the development of the furnished inhumation burial since the discipline’s conception. This has led to a misrepresentation of the diversity of early medieval burial practices and reinforced broad, unsatisfactory explanatory models. By including other burial types, like cremation burials, the overall model is changed in terms of what early medieval burial practices comprised, enabling a better understanding of the development of early medieval society.
DOI: 10.6084/m9.figshare.14651253
title: Source Code and Data

description: Code and data submitted with the paper.
DOI: 10.6084/m9.figshare.14651253.v1
title: Source Code and Data

description: Code and data submitted with the paper.
DOI: 10.5281/zenodo.4772305
title: Dummy CSV

description: Dummy file.
DOI: 10.5281/zenodo.4772304
title: Dummy CSV

description: Dummy file.
DOI: 10.6084/m9.figshare.14651265
title: partial nephrectomy database

description: database of cases who underwent partial nephrectomy.
DOI: 10.6084/m9.figshare.12853446
title: Estimating CO2-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms

description: One of the important parameters illustrating the mass transfer process is the diffusion coefficient of carbon dioxide which has a great impact on carbon dioxide storage in marine ecosystems, saline aquifers, and depleted reservoirs. Due to the complex interpretation approaches and special laboratory equipment for measurement of carbon dioxide-brine system diffusivity, the computational and mathematical methods are preferred. In this paper, the adaptive neuro-fuzzy inference system (ANFIS) is coupled with five different evolutionary algorithms for predicting the diffusivity coefficient of carbon dioxide. The R<sup>2</sup> values forthe testing phase are 0.9978, 0.9932, 0.9854, 0.9738 and 0.9514 for ANFIS optimized by particle swarm optimization (PSO), genetic algorithms (GA), ant colony optimization (ACO), backpropagation (BP), and differential evolution (DE), respectively. The hybrid machine learning model of ANFIS-PSO outperforms the other models.
DOI: 10.6084/m9.figshare.12853446.v2
title: Estimating CO2-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms

description: One of the important parameters illustrating the mass transfer process is the diffusion coefficient of carbon dioxide which has a great impact on carbon dioxide storage in marine ecosystems, saline aquifers, and depleted reservoirs. Due to the complex interpretation approaches and special laboratory equipment for measurement of carbon dioxide-brine system diffusivity, the computational and mathematical methods are preferred. In this paper, the adaptive neuro-fuzzy inference system (ANFIS) is coupled with five different evolutionary algorithms for predicting the diffusivity coefficient of carbon dioxide. The R<sup>2</sup> values forthe testing phase are 0.9978, 0.9932, 0.9854, 0.9738 and 0.9514 for ANFIS optimized by particle swarm optimization (PSO), genetic algorithms (GA), ant colony optimization (ACO), backpropagation (BP), and differential evolution (DE), respectively. The hybrid machine learning model of ANFIS-PSO outperforms the other models.
DOI: 10.6084/m9.figshare.12853446.v1
title: Estimating CO<sub>2</sub>-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms

description: One of the important parameters illustrating the mass transfer process is the diffusion coefficient of carbon dioxide which has a great impact on carbon dioxide storage in marine ecosystems, saline aquifers, and depleted reservoirs. Due to the complex interpretation approaches and special laboratory equipment for measurement of carbon dioxide-brine system diffusivity, the computational and mathematical methods are preferred. In this paper, the adaptive neuro-fuzzy inference system (ANFIS) is coupled with five different evolutionary algorithms for predicting the diffusivity coefficient of carbon dioxide. The R<sup>2</sup> values forthe testing phase are 0.9978, 0.9932, 0.9854, 0.9738 and 0.9514 for ANFIS optimized by particle swarm optimization (PSO), genetic algorithms (GA), ant colony optimization (ACO), backpropagation (BP), and differential evolution (DE), respectively. The hybrid machine learning model of ANFIS-PSO outperforms the other models.
DOI: 10.6084/m9.figshare.11999976
title: Evaluation of neck circumference as a predictor of elevated cardiometabolic risk outcomes in 5–8-year-old Brazilian children

description: <b>Background</b>: Childhood overweight and obesity is a global health problem that continues to worsen in many low- and middle-income countries. Low-cost measurements for monitoring overweight and relative metabolic risk, such as neck circumference (NC), should be evaluated in different populations and age groups. <b>Aim</b>: To test associations of NC and BMI with cardiometabolic parameters in 5-8-year-old Brazilian children. <b>Methods</b>: This cross-sectional study carried out from 2004–2006 measured height, weight and NC by anthropometry, and estimated fat and fat-free mass by bioelectrical impedance. Cardiometabolic risk factors assessed were systolic and diastolic blood pressure, high- and low-density lipoprotein cholesterol, triglycerides, and homeostatic model assessment of insulin resistance (HOMA). Associations of NC and BMI with cardiometabolic risk factors were tested using multiple regression and precision-recall plot analysis. <b>Results</b>: Analyses included 371 children (52% female). NC associated positively with BMI, fat mass, and fat-free mass, and with systolic blood pressure and HOMA following adjustment for age in sex-stratified multiple regression models. However, the latter relationships largely disappeared following adjustment for BMI. Area under the curve for NC or BMI in association with systolic blood pressure or HOMA &gt;90<sup>th</sup> percentile was low in the pooled sample, indicating poor classifier performance. <b>Conclusions</b>: NC and BMI demonstrated similar associations with cardiometabolic risk factors, although NC mostly did not correlate with risk factors independently of BMI. In contrast to previous studies, NC was a poor classifier of cardiometabolic risk factors in children. The association of NC with both fat and fat-free mass may aid in explaining its poor performance.
DOI: 10.6084/m9.figshare.11999976.v1
title: Evaluation of neck circumference as a predictor of elevated cardiometabolic risk outcomes in 5–8-year-old Brazilian children

description: <b>Background</b>: Childhood overweight and obesity is a global health problem that continues to worsen in many low- and middle-income countries. Low-cost measurements for monitoring overweight and relative metabolic risk, such as neck circumference (NC), should be evaluated in different populations and age groups. <b>Aim</b>: To test associations of NC and BMI with cardiometabolic parameters in 5-8-year-old Brazilian children. <b>Methods</b>: This cross-sectional study carried out from 2004–2006 measured height, weight and NC by anthropometry, and estimated fat and fat-free mass by bioelectrical impedance. Cardiometabolic risk factors assessed were systolic and diastolic blood pressure, high- and low-density lipoprotein cholesterol, triglycerides, and homeostatic model assessment of insulin resistance (HOMA). Associations of NC and BMI with cardiometabolic risk factors were tested using multiple regression and precision-recall plot analysis. <b>Results</b>: Analyses included 371 children (52% female). NC associated positively with BMI, fat mass, and fat-free mass, and with systolic blood pressure and HOMA following adjustment for age in sex-stratified multiple regression models. However, the latter relationships largely disappeared following adjustment for BMI. Area under the curve for NC or BMI in association with systolic blood pressure or HOMA &gt;90<sup>th</sup> percentile was low in the pooled sample, indicating poor classifier performance. <b>Conclusions</b>: NC and BMI demonstrated similar associations with cardiometabolic risk factors, although NC mostly did not correlate with risk factors independently of BMI. In contrast to previous studies, NC was a poor classifier of cardiometabolic risk factors in children. The association of NC with both fat and fat-free mass may aid in explaining its poor performance.
DOI: 10.6084/m9.figshare.12982877
title: A normative model of physical distancing distribution in the three-dimensional complex built space: an application to estimating the number of persons without social distancing

description: Codes used in this paper.
DOI: 10.5517/ccdc.csd.cc21b50l
title: CCDC 1886598: Experimental Crystal Structure Determination

description: Related Article: Eugenia Peresypkina, Kevin Grill, Barbara Hiltl, Alexander V. Virovets, Werner Kremer, Jan Hilgert, Wolfgang Tremel and Manfred Scheer|2021|Angew.Chem.,Int.Ed.|60|12132|doi:10.1002/anie.202103178
DOI: 10.5517/ccdc.csd.cc21b51m
title: CCDC 1886599: Experimental Crystal Structure Determination

description: Related Article: Eugenia Peresypkina, Kevin Grill, Barbara Hiltl, Alexander V. Virovets, Werner Kremer, Jan Hilgert, Wolfgang Tremel and Manfred Scheer|2021|Angew.Chem.,Int.Ed.|60|12132|doi:10.1002/anie.202103178
DOI: 10.5517/ccdc.csd.cc21b52n
title: CCDC 1886600: Experimental Crystal Structure Determination

description: Related Article: Eugenia Peresypkina, Kevin Grill, Barbara Hiltl, Alexander V. Virovets, Werner Kremer, Jan Hilgert, Wolfgang Tremel and Manfred Scheer|2021|Angew.Chem.,Int.Ed.|60|12132|doi:10.1002/anie.202103178
DOI: 10.5517/ccdc.csd.cc21b53p
title: CCDC 1886601: Experimental Crystal Structure Determination

description: Related Article: Eugenia Peresypkina, Kevin Grill, Barbara Hiltl, Alexander V. Virovets, Werner Kremer, Jan Hilgert, Wolfgang Tremel and Manfred Scheer|2021|Angew.Chem.,Int.Ed.|60|12132|doi:10.1002/anie.202103178
DOI: 10.5517/ccdc.csd.cc21b54q
title: CCDC 1886602: Experimental Crystal Structure Determination

description: Related Article: Eugenia Peresypkina, Kevin Grill, Barbara Hiltl, Alexander V. Virovets, Werner Kremer, Jan Hilgert, Wolfgang Tremel and Manfred Scheer|2021|Angew.Chem.,Int.Ed.|60|12132|doi:10.1002/anie.202103178
DOI: 10.5517/ccdc.csd.cc21b56s
title: CCDC 1886604: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc21b57t
title: CCDC 1886605: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc23tj3l
title: CCDC 1960939: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc23tj4m
title: CCDC 1960940: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25b1p8
title: CCDC 2005659: Experimental Crystal Structure Determination

description: Related Article: Natalia Tiessen, Mira Keßler, Beate Neumann, Hans-Georg Stammler, Berthold Hoge|2021|Angew.Chem.,Int.Ed.|60|12124|doi:10.1002/anie.202016455
DOI: 10.5517/ccdc.csd.cc25b1q9
title: CCDC 2005660: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc26075n
title: CCDC 2026010: Experimental Crystal Structure Determination

description: Related Article: Qianwen Gao, Chenggui Wu, Shuang Deng, Lisha Li, Ze-Shui Liu, Yu Hua, Jinxiang Ye, Chang Liu, Hong-Gang Cheng, Hengjiang Cong, Yinchun Jiao, Qianghui Zhou|2021|J.Am.Chem.Soc.|143|7253|doi:10.1021/jacs.1c02405
DOI: 10.5517/ccdc.csd.cc26076p
title: CCDC 2026011: Experimental Crystal Structure Determination

description: Related Article: Qianwen Gao, Chenggui Wu, Shuang Deng, Lisha Li, Ze-Shui Liu, Yu Hua, Jinxiang Ye, Chang Liu, Hong-Gang Cheng, Hengjiang Cong, Yinchun Jiao, Qianghui Zhou|2021|J.Am.Chem.Soc.|143|7253|doi:10.1021/jacs.1c02405
DOI: 10.5517/ccdc.csd.cc2621mz
title: CCDC 2027760: Experimental Crystal Structure Determination

description: Related Article: Natalia Tiessen, Mira Keßler, Beate Neumann, Hans-Georg Stammler, Berthold Hoge|2021|Angew.Chem.,Int.Ed.|60|12124|doi:10.1002/anie.202016455
DOI: 10.5517/ccdc.csd.cc26p4hk
title: CCDC 2046108: Experimental Crystal Structure Determination

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