cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3482243.v1
title: A Pilot Study on Hip Bone Mineral Densities Estimation from Forearm CBCT Images

description: In this paper, we defined the relative cross-sectional area of forearm cortical bone and investigated its correlation with hip bone mineral density values of total femur, femoral neck, femoral trochanter, femoral inter-trochanter and femoral ward’s triangle, respectively. Based on the correlations, we established a linear transformation between the relative cross-sectional area of forearm cortical bone and each hip bone BMD. We obtained forearm images using CBCT and hip bone BMDs of total femur, femoral neck, femoral trochanter, femoral inter-trochanter and femoral ward’s triangle using dual-energy X-ray absorptiometry (DXA) for 28 subjects.
DOI: 10.6084/m9.figshare.3482243.v3
title: A Pilot Study on Hip Bone Mineral Densities Estimation from Forearm CBCT Images

description: In this paper, we defined the relative cross-sectional area of forearm cortical bone and investigated its correlation with hip bone mineral density values of total femur, femoral neck, femoral trochanter, femoral inter-trochanter and femoral ward’s triangle, respectively. Based on the correlations, we established a linear transformation between the relative cross-sectional area of forearm cortical bone and each hip bone BMD. We obtained forearm images using CBCT and hip bone BMDs of total femur, femoral neck, femoral trochanter, femoral inter-trochanter and femoral ward’s triangle using dual-energy X-ray absorptiometry (DXA) for 28 subjects.
DOI: 10.6084/m9.figshare.3482243.v2
title: A Pilot Study on Hip Bone Mineral Densities Estimation from Forearm CBCT Images

description: In this paper, we defined the relative cross-sectional area of forearm cortical bone and investigated its correlation with hip bone mineral density values of total femur, femoral neck, femoral trochanter, femoral inter-trochanter and femoral ward’s triangle, respectively. Based on the correlations, we established a linear transformation between the relative cross-sectional area of forearm cortical bone and each hip bone BMD. We obtained forearm images using CBCT and hip bone BMDs of total femur, femoral neck, femoral trochanter, femoral inter-trochanter and femoral ward’s triangle using dual-energy X-ray absorptiometry (DXA) for 28 subjects.
DOI: 10.6084/m9.figshare.3482237
title: Supplementary Material for: Cystatin C-Creatinine Based Glomerular Filtration Rate Equation in Obese Chronic Kidney Disease Patients: Impact of Deindexation and Gender

description: <i>Background:</i> Cystatin C is considered an alternative to creatinine to estimate glomerular filtration rate (GFR). However, studies have reported that increased adiposity is associated with a higher level of circulating cystatin C questioning the performance of estimation of GFR using cystatin C in obese subjects. <i>Methods:</i> We prospectively included 166 obese stages 1-5 chronic kidney disease (CKD) patients between 2013 and 2015. GFR was measured with a reference method without (measured GFR [mGFR]) and with adjustment to body surface area (mGFRr) and estimated (eGFR) or de-indexed eGFR using the Chronic Kidney Disease and Epidemiology (CKD-EPI) equation using creatinine (CKD-EPIcreat), cystatin (CKD-EPIcyst) and the combination of cystatin and creatinine (CKD-EPIcyst-creat). <i>Results:</i> The biases between mGFR and de-indexed CKD-EPIcyst-creat were significantly lower than de-indexed CKD-EPIcreat (p = 0.001). Accuracies were significantly better with de-indexed CKD-EPIcyst-creat compared to CKD-EPIcreat and CKD-EPIcyst, respectively (p = 0.04 and 0.03). Bland and Altman plot showed a great dispersion of all formulae when patients had a GFR &gt;60 ml/min. Interestingly, there is a gender difference; biases, precisions and accuracies of de-indexed CKD-EPIcyst-creat were significantly lower in obese women. These results may be related to a difference in the change of body composition during obesity in men versus women and in fact only waist circumference (WC) was positively and significantly correlated with cystatin C (p &lt; 0.0001) whereas body mass index (BMI; p = 0.3) was not; bias for CKD-EPIcyst-creat was related with WC. <i>Conclusion:</i> Cystatin C-creatinine-based GFR equations outperform creatinine-based formula in obese CKD patients especially those with BMI ≥35 and in obese women.
DOI: 10.6084/m9.figshare.3482237.v2
title: Supplementary Material for: Cystatin C-Creatinine Based Glomerular Filtration Rate Equation in Obese Chronic Kidney Disease Patients: Impact of Deindexation and Gender

description: <i>Background:</i> Cystatin C is considered an alternative to creatinine to estimate glomerular filtration rate (GFR). However, studies have reported that increased adiposity is associated with a higher level of circulating cystatin C questioning the performance of estimation of GFR using cystatin C in obese subjects. <i>Methods:</i> We prospectively included 166 obese stages 1-5 chronic kidney disease (CKD) patients between 2013 and 2015. GFR was measured with a reference method without (measured GFR [mGFR]) and with adjustment to body surface area (mGFRr) and estimated (eGFR) or de-indexed eGFR using the Chronic Kidney Disease and Epidemiology (CKD-EPI) equation using creatinine (CKD-EPIcreat), cystatin (CKD-EPIcyst) and the combination of cystatin and creatinine (CKD-EPIcyst-creat). <i>Results:</i> The biases between mGFR and de-indexed CKD-EPIcyst-creat were significantly lower than de-indexed CKD-EPIcreat (p = 0.001). Accuracies were significantly better with de-indexed CKD-EPIcyst-creat compared to CKD-EPIcreat and CKD-EPIcyst, respectively (p = 0.04 and 0.03). Bland and Altman plot showed a great dispersion of all formulae when patients had a GFR &gt;60 ml/min. Interestingly, there is a gender difference; biases, precisions and accuracies of de-indexed CKD-EPIcyst-creat were significantly lower in obese women. These results may be related to a difference in the change of body composition during obesity in men versus women and in fact only waist circumference (WC) was positively and significantly correlated with cystatin C (p &lt; 0.0001) whereas body mass index (BMI; p = 0.3) was not; bias for CKD-EPIcyst-creat was related with WC. <i>Conclusion:</i> Cystatin C-creatinine-based GFR equations outperform creatinine-based formula in obese CKD patients especially those with BMI ≥35 and in obese women.
DOI: 10.6084/m9.figshare.3482237.v1
title: Supplementary Material for: Cystatin C-Creatinine Based Glomerular Filtration Rate Equation in Obese Chronic Kidney Disease Patients: Impact of Deindexation and Gender

description: <i>Background:</i> Cystatin C is considered an alternative to creatinine to estimate glomerular filtration rate (GFR). However, studies have reported that increased adiposity is associated with a higher level of circulating cystatin C questioning the performance of estimation of GFR using cystatin C in obese subjects. <i>Methods:</i> We prospectively included 166 obese stages 1-5 chronic kidney disease (CKD) patients between 2013 and 2015. GFR was measured with a reference method without (measured GFR [mGFR]) and with adjustment to body surface area (mGFRr) and estimated (eGFR) or de-indexed eGFR using the Chronic Kidney Disease and Epidemiology (CKD-EPI) equation using creatinine (CKD-EPIcreat), cystatin (CKD-EPIcyst) and the combination of cystatin and creatinine (CKD-EPIcyst-creat). <i>Results:</i> The biases between mGFR and de-indexed CKD-EPIcyst-creat were significantly lower than de-indexed CKD-EPIcreat (p = 0.001). Accuracies were significantly better with de-indexed CKD-EPIcyst-creat compared to CKD-EPIcreat and CKD-EPIcyst, respectively (p = 0.04 and 0.03). Bland and Altman plot showed a great dispersion of all formulae when patients had a GFR &gt;60 ml/min. Interestingly, there is a gender difference; biases, precisions and accuracies of de-indexed CKD-EPIcyst-creat were significantly lower in obese women. These results may be related to a difference in the change of body composition during obesity in men versus women and in fact only waist circumference (WC) was positively and significantly correlated with cystatin C (p &lt; 0.0001) whereas body mass index (BMI; p = 0.3) was not; bias for CKD-EPIcyst-creat was related with WC. <i>Conclusion:</i> Cystatin C-creatinine-based GFR equations outperform creatinine-based formula in obese CKD patients especially those with BMI ≥35 and in obese women.
DOI: 10.6084/m9.figshare.3482225
title: Osteophyte size

description: This file recorded data of osteophyte measurements.
DOI: 10.6084/m9.figshare.3482225.v1
title: Osteophyte size

description: This file recorded data of osteophyte measurements.
DOI: 10.6084/m9.figshare.3482222
title: Histomorphometry of subchondral bone

description: This file recorded histomorphometry results of the load-bearing area of subchondral bone of medial plateau from the meniscectomized guinea pigs
DOI: 10.6084/m9.figshare.3482222.v1
title: Histomorphometry of subchondral bone

description: This file recorded histomorphometry results of the load-bearing area of subchondral bone of medial plateau from the meniscectomized guinea pigs
DOI: 10.6084/m9.figshare.3482219
title: eSON_data

description: his folder includes raw data from the eSON task
DOI: 10.6084/m9.figshare.3482219.v1
title: eSON_data

description: his folder includes raw data from the eSON task
DOI: 10.6084/m9.figshare.3482210
title: 22 June 2016 Chantal Helm

description: Bat Classify results from recordings made by Chantal Helm using EM3+ on 22 June 2016 near the Great Oak at Panshanger Park TL287132Recording classified as Barbastelle by Bat Classify (p=0.99) also included
DOI: 10.6084/m9.figshare.3482210.v2
title: 22 June 2016 Chantal Helm

description: Bat Classify results from recordings made by Chantal Helm using EM3+ on 22 June 2016 near the Great Oak at Panshanger Park TL287132Recording classified as Barbastelle by Bat Classify (p=0.99) also included
DOI: 10.6084/m9.figshare.3482210.v1
title: New draft item

description: Bat Classify results from recordings made by Chantal Helm using EM3+ on 22 June 2016 near the Great Oak at Panshanger Park TL287132Recording classified as Barbastelle by Bat Classify (p=0.99) also included
DOI: 10.6084/m9.figshare.3482204
title: body weights

description: This is a spss data file recorded body weights of the animals.
DOI: 10.6084/m9.figshare.3482204.v1
title: bodyweights.xlsx

description: The file recorded body weights of the animals.
DOI: 10.6084/m9.figshare.3482204.v2
title: bodyweights.xlsx

description: This is a spss data file recorded body weights of the animals.
DOI: 10.6084/m9.figshare.3482201
title: 11 July 2016 Chantal Helm

description: Bat Classify results from the recordings taken by Chantal Helm using EM3+ on 10 July 2016 at TL300126 along the path at the western end of Lady Hughes Wood in Panshanger Park.Bat Classify Barbastelle (P=0.95) recording included- cannot find in wav file?<br>Bat classified Barbastelle also at 22:08 (P=0.99) recording also included- very faint pass- not typical?
DOI: 10.6084/m9.figshare.3482201.v1
title: __0_20160710_220516_000.wav

description: Bat Classify results from the recordings taken by Chantal Helm using EM3+ on 10 July 2016 at TL300126 along the path at the western end of Lady Hughes Wood in Panshanger Park.Bat Classify Barbastelle (P=0.95) recording included- cannot find in wav file?
DOI: 10.6084/m9.figshare.3482201.v2
title: 11 July 2016 Chantal Helm

description: Bat Classify results from the recordings taken by Chantal Helm using EM3+ on 10 July 2016 at TL300126 along the path at the western end of Lady Hughes Wood in Panshanger Park.Bat Classify Barbastelle (P=0.95) recording included- cannot find in wav file?
DOI: 10.6084/m9.figshare.3482201.v3
title: 11 July 2016 Chantal Helm

description: Bat Classify results from the recordings taken by Chantal Helm using EM3+ on 10 July 2016 at TL300126 along the path at the western end of Lady Hughes Wood in Panshanger Park.Bat Classify Barbastelle (P=0.95) recording included- cannot find in wav file?<br>Bat classified Barbastelle also at 22:08 (P=0.99) recording also included- very faint pass- not typical?
DOI: 10.6084/m9.figshare.3482201.v4
title: 11 July 2016 Chantal Helm

description: Bat Classify results from the recordings taken by Chantal Helm using EM3+ on 10 July 2016 at TL300126 along the path at the western end of Lady Hughes Wood in Panshanger Park.Bat Classify Barbastelle (P=0.95) recording included- cannot find in wav file?<br>Bat classified Barbastelle also at 22:08 (P=0.99) recording also included- very faint pass- not typical?
DOI: 10.6084/m9.figshare.3482201.v6
title: 11 July 2016 Chantal Helm

description: Bat Classify results from the recordings taken by Chantal Helm using EM3+ on 10 July 2016 at TL300126 along the path at the western end of Lady Hughes Wood in Panshanger Park.Bat Classify Barbastelle (P=0.95) recording included- cannot find in wav file?<br>Bat classified Barbastelle also at 22:08 (P=0.99) recording also included- very faint pass- not typical?
DOI: 10.6084/m9.figshare.3482201.v5
title: 11 July 2016 Chantal Helm

description: Bat Classify results from the recordings taken by Chantal Helm using EM3+ on 10 July 2016 at TL300126 along the path at the western end of Lady Hughes Wood in Panshanger Park.Bat Classify Barbastelle (P=0.95) recording included- cannot find in wav file?<br>Bat classified Barbastelle also at 22:08 (P=0.99) recording also included- very faint pass- not typical?
DOI: 10.6084/m9.figshare.3482171
title: Tests on Thin Reinforced Concrete Walls Subjected to In-plane and Out-of-plane Cyclic Loading - TW5 (2/3)

description: The present dataset describes an experimental campaign on five thin T-shaped reinforced concrete walls. The tests aimed at assessing the influence of wall thickness on member stability, the role of lap splices on damage distribution and displacement ductility, and the effects of the simultaneous application of out-of-plane loading on the member response.Further data can be downloaded from the links below.<br>If you use the data, please cite: Almeida, J. P., O. Prodan, A. Rosso, and K. Beyer. 2016. Tests on Thin Reinforced Concrete Walls Subjected to in-Plane and out-of-Plane Cyclic Loading. <i>Earthquake Spectra</i>.
DOI: 10.6084/m9.figshare.3482171.v1
title: Tests on Thin Reinforced Concrete Walls Subjected to In-plane and Out-of-plane Cyclic Loading - TW5 (2/3)

description: The present dataset describes an experimental campaign on five thin T-shaped reinforced concrete walls. The tests aimed at assessing the influence of wall thickness on member stability, the role of lap splices on damage distribution and displacement ductility, and the effects of the simultaneous application of out-of-plane loading on the member response.Further data can be downloaded from the links below.<br>If you use the data, please cite: Almeida, J. P., O. Prodan, A. Rosso, and K. Beyer. 2016. Tests on Thin Reinforced Concrete Walls Subjected to in-Plane and out-of-Plane Cyclic Loading. <i>Earthquake Spectra</i>.
DOI: 10.6084/m9.figshare.3482150
title: Local-pooled-error test for RNA sequencing experiments with a small number of replicates

description: RNA-Sequencing (RNA-Seq) provides valuable information for characterizing the molecular nature of the cells, in particular, identification of differentially expressed transcripts on a genome-wide scale. Unfortunately, cost and limited specimen availability often lead to studies with small sample sizes, and hypothesis testing on differential expression between classes with a small number of samples is generally limited. The problem is especially challenging when only one sample per each class exists. In this case, only a few methods among many that have been developed are applicable for identifying differentially expressed transcripts. Thus, the aim of this study was to develop a method able to accurately test differential expression with a limited number of samples, in particular non-replicated samples. We propose a local-pooled-error method for RNA-Seq data (LPEseq) to account for non-replicated samples in the analysis of differential expression. Our LPEseq method extends the existing LPE method, which was proposed for microarray data, to allow examination of non-replicated RNA-Seq experiments. We demonstrated the validity of the LPEseq method using both real and simulated datasets. By comparing the results obtained using the LPEseq method with those obtained from other methods, we found that the LPEseq method outperformed the others for non-replicated datasets, and showed a similar performance with replicated samples; LPEseq consistently showed high true discovery rate while not increasing the rate of false positives regardless of the number of samples. Our proposed LPEseq method can be effectively used to conduct differential expression analysis as a preliminary design step or for investigation of a rare specimen, for which a limited number of samples is available<br>
DOI: 10.6084/m9.figshare.3482150.v3
title: Local-pooled-error test for RNA sequencing experiments with a small number of replicates

description: RNA-Sequencing (RNA-Seq) provides valuable information for characterizing the molecular nature of the cells, in particular, identification of differentially expressed transcripts on a genome-wide scale. Unfortunately, cost and limited specimen availability often lead to studies with small sample sizes, and hypothesis testing on differential expression between classes with a small number of samples is generally limited. The problem is especially challenging when only one sample per each class exists. In this case, only a few methods among many that have been developed are applicable for identifying differentially expressed transcripts. Thus, the aim of this study was to develop a method able to accurately test differential expression with a limited number of samples, in particular non-replicated samples. We propose a local-pooled-error method for RNA-Seq data (LPEseq) to account for non-replicated samples in the analysis of differential expression. Our LPEseq method extends the existing LPE method, which was proposed for microarray data, to allow examination of non-replicated RNA-Seq experiments. We demonstrated the validity of the LPEseq method using both real and simulated datasets. By comparing the results obtained using the LPEseq method with those obtained from other methods, we found that the LPEseq method outperformed the others for non-replicated datasets, and showed a similar performance with replicated samples; LPEseq consistently showed high true discovery rate while not increasing the rate of false positives regardless of the number of samples. Our proposed LPEseq method can be effectively used to conduct differential expression analysis as a preliminary design step or for investigation of a rare specimen, for which a limited number of samples is available<br>
DOI: 10.6084/m9.figshare.3482150.v2
title: Local-pooled-error test for RNA sequencing experiments with a small number of replicates

description: RNA-Sequencing (RNA-Seq) provides valuable information for characterizing the molecular nature of the cells, in particular, identification of differentially expressed transcripts on a genome-wide scale. Unfortunately, cost and limited specimen availability often lead to studies with small sample sizes, and hypothesis testing on differential expression between classes with a small number of samples is generally limited. The problem is especially challenging when only one sample per each class exists. In this case, only a few methods among many that have been developed are applicable for identifying differentially expressed transcripts. Thus, the aim of this study was to develop a method able to accurately test differential expression with a limited number of samples, in particular non-replicated samples. We propose a local-pooled-error method for RNA-Seq data (LPEseq) to account for non-replicated samples in the analysis of differential expression. Our LPEseq method extends the existing LPE method, which was proposed for microarray data, to allow examination of non-replicated RNA-Seq experiments. We demonstrated the validity of the LPEseq method using both real and simulated datasets. By comparing the results obtained using the LPEseq method with those obtained from other methods, we found that the LPEseq method outperformed the others for non-replicated datasets, and showed a similar performance with replicated samples; LPEseq consistently showed high true discovery rate while not increasing the rate of false positives regardless of the number of samples. Our proposed LPEseq method can be effectively used to conduct differential expression analysis as a preliminary design step or for investigation of a rare specimen, for which a limited number of samples is available<br>
DOI: 10.6084/m9.figshare.3482039
title: Data From: Modeling Zero-Modified Count and Semicontinuous Data in Health Services Research, Part 2: Case Studies

description: This article is the second installment of a two-part tutorial on the analysis of zero-modified count and semicontinuous data. Part 1, which appears as a companion piece in this issue of Statistics in Medicine, provides a general background and overview of the topic, with particular emphasis on applications to health services research. Here, we present three case studies highlighting various approaches for the analysis of zero-modified data. The first case study describes methods for analyzing zero-inflated longitudinal count data. Case Study 2 considers the use of hurdle models for the analysis of spatiotemporal count data. The third case study discusses an application of marginalized two-part models to the analysis of semicontinuous health expenditure data.
DOI: 10.6084/m9.figshare.3482039.v1
title: Data From: Modeling Zero-Modified Count and Semicontinuous Data in Health Services Research, Part 2: Case Studies

description: This article is the second installment of a two-part tutorial on the analysis of zero-modified count and semicontinuous data. Part 1, which appears as a companion piece in this issue of Statistics in Medicine, provides a general background and overview of the topic, with particular emphasis on applications to health services research. Here, we present three case studies highlighting various approaches for the analysis of zero-modified data. The first case study describes methods for analyzing zero-inflated longitudinal count data. Case Study 2 considers the use of hurdle models for the analysis of spatiotemporal count data. The third case study discusses an application of marginalized two-part models to the analysis of semicontinuous health expenditure data.
DOI: 10.6084/m9.figshare.3482015
title: unmapped_K23_L70.zip

description: This sample is part of the GutCyc Collection (www.gutcyc.org), a compendium of environmental pathway / genome databases. GutCyc was constructed from 418 human microbiome assemblies using the open-source MetaPathways pipeline, that enables reproducible metagenomic annotation.
DOI: 10.6084/m9.figshare.3482015.v1
title: unmapped_K23_L70.zip

description: This sample is part of the GutCyc Collection (www.gutcyc.org), a compendium of environmental pathway / genome databases. GutCyc was constructed from 418 human microbiome assemblies using the open-source MetaPathways pipeline, that enables reproducible metagenomic annotation.
DOI: 10.6084/m9.figshare.3481949
title: Exemplar OCC dataset from Springer Nature metadata

description: This archive contains an exemplar dataset of the information obtained running the main tools used for building the OpenCitations Corpus (http://opencitations.net) on the metadata of the 67 articles included in the Proceedings of the 14th International Semantic Web Conference gently provided by Springer Nature.<br><br>Some statistics of the information in this dataset:<br>- number of citing/cited objects: 1441<br>- number of citations: 1531<br>- number of containers (journals, proceedings, books, etc.): 411<br>- number of publishers: 42<br>- number of authors: 3076<br>- number of authors with ORCID: 157<br>- number of RDF statements: 69995<br>