cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4059302
title: Fragility Fracture Prevention—Implementing a Fracture Liaison Service in a High Volume Orthopedic Hospital

description: Fragility fractures pose a serious threat to patient health, quality of life, and healthcare sustainability. In order to reduce their clinical, social, and economic burden, a Fracture Liaison Service (FLS) was introduced in a high volume orthopedic hospital in 2017. The purpose of this retrospective observational study is to describe the FLS protocol, introduce its preliminary outcomes, and provide an early evaluation in light of international guidelines and recommendations. All the performances suggested by the International Osteoporosis Foundation (IOF) are provided under the same institution by which a patient is admitted for surgery. Clinical indicators from patient history and administrative indicators from the hospital database have been used to estimate the spread of fragility fracture prevention and the degree of patient compliance to these programs. The research included 403 patients. Although, almost 1/3 were admitted for the second fragility fracture, only half received anti-osteoporotic treatment before it. The degree of prevention was even lower in the case of patients admitted for the first fragility fracture. The risk of being affected by a secondary fracture was seven times higher when patients did not attend any follow-up or diagnostic exam. In order to identify the main determinants of compliance with FLS and perform a cost-effectiveness analysis on a larger sample, it is fundamental to integrate data from different providers.
DOI: 10.21227/c3r8-6898
title: 'On the impact of the identification of inertial sensors location on the estimation of segment and body centers of mass in transfemoral amputees: a sensitivity study' - Dataset

description: Gait analysis of people with transfemoral amputation is essential to support the rehabilitation process. In particular, the kinematics of the body center of mass (bCoM), derived from the motion of segments’ centers of mass (sCoM), provide crucial information about patients’ locomotion. Magneto-Inertial Measurement Units (MIMUs) may be adopted to obtain this information in-the-field. However, MIMUs provide the 3D acceleration of the origin of the sensor’s frame. Therefore, the relative position of MIMUs with respect to the corresponding sCoM must be retrieved to accurately estimate the sCoM and bCoM accelerations. Through an experimental design procedure, this paper investigates the sensitivity of the accuracy of the sCoM and bCoM 3D acceleration estimated from five MIMUs positioned on the trunk, both thighs and both shanks to erroneous identifications of MIMUs positions in a transfemoral amputee. Data from six gait cycles were used to simulate respectively 33 and 215 combinations of erroneous identification of MIMUs positions (± 2 cm) for the sCoM and bCoM sensitivity analyses. The correct identification of the positions of the trunk MIMU along the vertical direction and of the sound limb MIMUs along the vertical and anteroposterior directions was found critical for an accurate estimation of bCoM 3D acceleration components. These positions were shown to contribute to 81% (ML), 80% (AP) and 66% (V) to the total sensitivity and reduced the estimation accuracy of bCoM acceleration by 4.6% (ML), 3.9% (AP) and 2.6% (V). The accurate localization of these MIMUs is therefore paramount to provide relevant information for the rehabilitation.
DOI: 10.6084/m9.figshare.13026398.v1
title: Variability of arbuscular mycorrhizal fungal communities within the root systems of individual plants is high and influenced by host species and root phosphorus

description: The data contains 3 files: AM fungal community matrix, treatment table (samples description), and a table with plant traits. trflp_OTUtable.csv AM fungal community matrix based on TRLFP analyses. Samples-by-binned-OTUs (operational taxonomic unit) tables of Glomeromycota Fungi for each molecular sample; ‘Sample’ (sample ID) and OTU (other columns). treatments.csv Treatment table, description of each sample. Contains information on the treatments associated with each sample. Columns description: ‘Sample’ (sample ID, which is the sample number used in the OTUmatrix), ‘Spp’ (plant species from which the AM fungal community was sampled),‘Treatment’ (watering treatment applied in the plot from which the sample was collected), ‘Plot’ (plot number from which the sample was collected at DRI-Grass, Hawkesbury Institute for the Environment), ‘Individual’ (unique ID of the plant individual from which the AM fungal community was sampled), ‘Subplot’ (subplot ID). rootTraits.csv Plant root traits. Table containing sample description and root traits of each plant species. Columns description: ‘individual’ (unique ID of the plant individual from which the AM fungal community was sampled), ‘species’ (plant species from which the AM fungal community was sampled),‘treatment’ (watering treatment applied in the plot from which the sample was collected), ‘Plot’ (plot number from which the sample was collected at DRI-Grass, Hawkesbury Institute for the Environment), ‘Subplot’ (subplot ID), ‘distance’ (AM fungal community distance within the same plant individual based on Jaccard dissimilarity index), ‘sample’ (sample ID), ‘N’ (Nitrogen, ppm) and ‘C’ (Carbon, ppm), ‘Mn’ (Manganese), ‘P’ (Phosphorous), ‘K’ (Potassium), ‘Ca’ (Calcium), ‘Zn’ (Zinc) concentration in ppm and ‘Si’ (Silicon) concentration in %, in root tissues, ‘biomass’ (dry weight of the roots in mg), ‘SRL’ (Specific Root Length; root length (cm) / dry weight of the roots (mg)), ‘diameter’ (average diameter of the root system, in mm), ‘fine.ratio’ (ratio between the length of the fine roots (&lt;1mm diameter) and coarse roots (&gt;1mm diameter)), ‘type’ (plant functional group).
DOI: 10.6084/m9.figshare.13026398
title: Variability of arbuscular mycorrhizal fungal communities within the root systems of individual plants is high and influenced by host species and root phosphorus

description: The data contains 3 files: AM fungal community matrix, treatment table (samples description), and a table with plant traits. trflp_OTUtable.csv AM fungal community matrix based on TRLFP analyses. Samples-by-binned-OTUs (operational taxonomic unit) tables of Glomeromycota Fungi for each molecular sample; ‘Sample’ (sample ID) and OTU (other columns). treatments.csv Treatment table, description of each sample. Contains information on the treatments associated with each sample. Columns description: ‘Sample’ (sample ID, which is the sample number used in the OTUmatrix), ‘Spp’ (plant species from which the AM fungal community was sampled),‘Treatment’ (watering treatment applied in the plot from which the sample was collected), ‘Plot’ (plot number from which the sample was collected at DRI-Grass, Hawkesbury Institute for the Environment), ‘Individual’ (unique ID of the plant individual from which the AM fungal community was sampled), ‘Subplot’ (subplot ID). rootTraits.csv Plant root traits. Table containing sample description and root traits of each plant species. Columns description: ‘individual’ (unique ID of the plant individual from which the AM fungal community was sampled), ‘species’ (plant species from which the AM fungal community was sampled),‘treatment’ (watering treatment applied in the plot from which the sample was collected), ‘Plot’ (plot number from which the sample was collected at DRI-Grass, Hawkesbury Institute for the Environment), ‘Subplot’ (subplot ID), ‘distance’ (AM fungal community distance within the same plant individual based on Jaccard dissimilarity index), ‘sample’ (sample ID), ‘N’ (Nitrogen, ppm) and ‘C’ (Carbon, ppm), ‘Mn’ (Manganese), ‘P’ (Phosphorous), ‘K’ (Potassium), ‘Ca’ (Calcium), ‘Zn’ (Zinc) concentration in ppm and ‘Si’ (Silicon) concentration in %, in root tissues, ‘biomass’ (dry weight of the roots in mg), ‘SRL’ (Specific Root Length; root length (cm) / dry weight of the roots (mg)), ‘diameter’ (average diameter of the root system, in mm), ‘fine.ratio’ (ratio between the length of the fine roots (&lt;1mm diameter) and coarse roots (&gt;1mm diameter)), ‘type’ (plant functional group).
DOI: 10.21227/nvzd-pk47
title: 'On the impact of the identification of inertial sensors location on the estimation of segment and body centers of mass in transfemoral amputees: a sensitivity study' - Dataset

description: Gait analysis of people with transfemoral amputation is essential to support the rehabilitation process. In particular, the kinematics of the body center of mass (bCoM), derived from the motion of segments’ centers of mass (sCoM), provide crucial information about patients’ locomotion. Magneto-Inertial Measurement Units (MIMUs) may be adopted to obtain this information in-the-field. However, MIMUs provide the 3D acceleration of the origin of the sensor’s frame. Therefore, the relative position of MIMUs with respect to the corresponding sCoM must be retrieved to accurately estimate the sCoM and bCoM accelerations. Through an experimental design procedure, this paper investigates the sensitivity of the accuracy of the sCoM and bCoM 3D acceleration estimated from five MIMUs positioned on the trunk, both thighs and both shanks to erroneous identifications of MIMUs positions in a transfemoral amputee. Data from six gait cycles were used to simulate respectively 33 and 215 combinations of erroneous identification of MIMUs positions (± 2 cm) for the sCoM and bCoM sensitivity analyses. The correct identification of the positions of the trunk MIMU along the vertical direction and of the sound limb MIMUs along the vertical and anteroposterior directions was found critical for an accurate estimation of bCoM 3D acceleration components. These positions were shown to contribute to 81% (ML), 80% (AP) and 66% (V) to the total sensitivity and reduced the estimation accuracy of bCoM acceleration by 4.6% (ML), 3.9% (AP) and 2.6% (V). The accurate localization of these MIMUs is therefore paramount to provide relevant information for the rehabilitation.
DOI: 10.5281/zenodo.4059309
title: Fragility fractures and bone mineral density in male patients affected by type 1 and type 2 myotonic dystrophy

description: Abstract Myotonic dystrophy is a multisystemic disorder affecting skeletal muscle. Male patients have an increased risk of fractures and develop a number of endocrine/metabolic impairments known to adversely affect bone health. The aim of this study was primarily to determine the occurrence of fragility fractures and the bone mineralization status (lumbar spine, hip and total body by dual X-ray absorptiometry) in 36 male patients affected with type 1 myotonic dystrophy and 13 male patients affected with type 2 myotonic dystrophy. Fragility fractures occurred in 15 type 1 and 7 type 2 myotonic dystrophy in non-classical osteoporotic sites, such as metatarses. Hip osteopenia was the most frequent finding, particularly in type 2 (n = 6) than type 1 myotonic dystrophy patients (n = 1), while osteoporosis was rare. Patients with type 1 myotonic dystrophy presented higher total body bone mass density than patients with type 2 myotonic dystrophy and healthy controls and lumbar spine was associated positively with the severity of the disease. Gonadic failure, with low testosterone and reduced INSL3 levels, visceral adiposity and insulin resistance correlated with reduced body mass index in both type 1 and type 2 myotonic dystrophic patients. The independent determinant of fragility fractures were low total body mass index, low blood testosterone and low global muscle mass.
DOI: 10.5281/zenodo.4059308
title: Fragility fractures and bone mineral density in male patients affected by type 1 and type 2 myotonic dystrophy

description: Abstract Myotonic dystrophy is a multisystemic disorder affecting skeletal muscle. Male patients have an increased risk of fractures and develop a number of endocrine/metabolic impairments known to adversely affect bone health. The aim of this study was primarily to determine the occurrence of fragility fractures and the bone mineralization status (lumbar spine, hip and total body by dual X-ray absorptiometry) in 36 male patients affected with type 1 myotonic dystrophy and 13 male patients affected with type 2 myotonic dystrophy. Fragility fractures occurred in 15 type 1 and 7 type 2 myotonic dystrophy in non-classical osteoporotic sites, such as metatarses. Hip osteopenia was the most frequent finding, particularly in type 2 (n = 6) than type 1 myotonic dystrophy patients (n = 1), while osteoporosis was rare. Patients with type 1 myotonic dystrophy presented higher total body bone mass density than patients with type 2 myotonic dystrophy and healthy controls and lumbar spine was associated positively with the severity of the disease. Gonadic failure, with low testosterone and reduced INSL3 levels, visceral adiposity and insulin resistance correlated with reduced body mass index in both type 1 and type 2 myotonic dystrophic patients. The independent determinant of fragility fractures were low total body mass index, low blood testosterone and low global muscle mass.
DOI: 10.5281/zenodo.4059180
title: Early Brain Damage Affects Body Schema and Person Perception Abilities in Children and Adolescents with Spastic Diplegia

description: Raw data from the Journal article: Early Brain Damage Affects Body Schema and Person Perception Abilities in Children and Adolescents with Spastic Diplegia Early brain damage leading to cerebral palsy is associated to core motor impairments and also affects cognitive and social abilities.<br> In particular, previous studies have documented specific alterations of perceptual body processing and motor cognition that are<br> associated to unilateral motor deficits in hemiplegic patients. However, little is known about spastic diplegia (SpD), which is<br> characterized by motorial deficits involving both sides of the body and is often associated to visuospatial, attentional, and<br> social perception impairments. Here, we compared the performance of a sample of 30 children and adolescents with SpD<br> (aged 7-18 years) and of a group of age-matched controls with typical development (TD) at two different tasks tapping on<br> body representations. In the first task, we tested visual and motor imagery abilities as assessed, respectively, by the object-based<br> mental rotation of letters and by the first-person transformations for whole-body stimuli. In the second task, we administered<br> an inversion effect/composite illusion task to evaluate the use of configural/holistic processing of others’ body. Additionally, we<br> assessed social perception abilities in the SpD sample using the NEPSY-II battery. In line with previously reported visuospatial<br> deficits, a general mental imagery impairment was found in SpD patients when they were engaged in both object-centered and<br> first-person mental transformations. Nevertheless, a specific deficit in operating an own-body transformation emerged. As<br> concerns body perception, while more basic configural processing (i.e., inversion effect) was spared, no evidence for holistic<br> (i.e., composite illusion) body processing was found in the SpD group. NEPSY-II assessment revealed that SpD children<br> were impaired in both the theory of mind and affect recognition subtests. Overall, these findings suggested that early brain<br> lesions and biased embodied experience could affect higher-level motor cognition and perceptual body processing, thus<br> pointing to a strict link between motor deficits, body schema alterations, and person processing difficulties.
description: This work was supported by Italian Ministry of Health (Ricerca Corrente "2015-2017" to C.U.).
DOI: 10.5281/zenodo.4059179
title: Early Brain Damage Affects Body Schema and Person Perception Abilities in Children and Adolescents with Spastic Diplegia

description: Raw data from the Journal article: Early Brain Damage Affects Body Schema and Person Perception Abilities in Children and Adolescents with Spastic Diplegia Early brain damage leading to cerebral palsy is associated to core motor impairments and also affects cognitive and social abilities.<br> In particular, previous studies have documented specific alterations of perceptual body processing and motor cognition that are<br> associated to unilateral motor deficits in hemiplegic patients. However, little is known about spastic diplegia (SpD), which is<br> characterized by motorial deficits involving both sides of the body and is often associated to visuospatial, attentional, and<br> social perception impairments. Here, we compared the performance of a sample of 30 children and adolescents with SpD<br> (aged 7-18 years) and of a group of age-matched controls with typical development (TD) at two different tasks tapping on<br> body representations. In the first task, we tested visual and motor imagery abilities as assessed, respectively, by the object-based<br> mental rotation of letters and by the first-person transformations for whole-body stimuli. In the second task, we administered<br> an inversion effect/composite illusion task to evaluate the use of configural/holistic processing of others’ body. Additionally, we<br> assessed social perception abilities in the SpD sample using the NEPSY-II battery. In line with previously reported visuospatial<br> deficits, a general mental imagery impairment was found in SpD patients when they were engaged in both object-centered and<br> first-person mental transformations. Nevertheless, a specific deficit in operating an own-body transformation emerged. As<br> concerns body perception, while more basic configural processing (i.e., inversion effect) was spared, no evidence for holistic<br> (i.e., composite illusion) body processing was found in the SpD group. NEPSY-II assessment revealed that SpD children<br> were impaired in both the theory of mind and affect recognition subtests. Overall, these findings suggested that early brain<br> lesions and biased embodied experience could affect higher-level motor cognition and perceptual body processing, thus<br> pointing to a strict link between motor deficits, body schema alterations, and person processing difficulties.
description: This work was supported by Italian Ministry of Health (Ricerca Corrente "2015-2017" to C.U.).
DOI: 10.21227/2raf-ve04
title: TemperatureProfile-2020Sep

description: Temperature profiles for thermal detection.
DOI: 10.21227/h5r4-sc68
title: TemperatureProfile-2020Sep

description: Temperature profiles for thermal detection.
DOI: 10.5281/zenodo.4014787
title: Supplementary for Phosphoproteomics and Bioinformatics Analyses Reveal Key Roles of GSK-3 and AKAP4 in Mouse Sperm Capacitation

description: Supplementary Files contain :<br> 1. Supplementary Data (1-4)<br> 2. Supplementary LC MS MS Raw excel file
DOI: 10.5281/zenodo.4014786
title: Supplementary for Phosphoproteomics and Bioinformatics Analyses Reveal Key Roles of GSK-3 and AKAP4 in Mouse Sperm Capacitation

description: Supplementary Files contain :<br> 1. Supplementary Data (1-4)<br> 2. Supplementary LC MS MS Raw excel file
DOI: 10.17632/23pdswymrr.1
title: Data for: Regular issue

description: This excel file holds the results of a survey administered to 169 marine sports/recreation users.
DOI: 10.21227/jcdv-c792
title: Component database for topology benchmarking with guidelines of how to use it

description: This Excel file presents the built database for the paper titled "Bridgeless PFC topology simplification and design for performance benchmarking".1. You can find more details about how to use the data presented here to build the component model in the paper.2. In the "calculated results sheet", you can see our case study results by using this built database to select components and benchmark the bridgeless buck-boost PFC converters.3. In the "code example sheet", you can see the step-by-step code example for the MOSFET calculation. It may take several minutes to get the results when the code is operating.
DOI: 10.21227/r5ap-7724
title: Component database for topology benchmarking with guidelines of how to use it

description: This Excel file presents the built database for the paper titled "Bridgeless PFC topology simplification and design for performance benchmarking".1. You can find more details about how to use the data presented here to build the component model in the paper.2. In the "calculated results sheet", you can see our case study results by using this built database to select components and benchmark the bridgeless buck-boost PFC converters.3. In the "code example sheet", you can see the step-by-step code example for the MOSFET calculation. It may take several minutes to get the results when the code is operating.
DOI: 10.5517/ccdc.csd.cc25h4tn
title: CCDC 2010561: Experimental Crystal Structure Determination

description: Related Article: Alina D. Ivanova, Yury V. Grigoriev, Vladislav Yu. Komarov, Taisiya S. Sukhikh, Artem S. Bogomyakov, Liliya A. Sheludyakova, Ludmila G. Lavrenova|2020|Polyhedron|189|114750|doi:10.1016/j.poly.2020.114750
DOI: 10.5517/ccdc.csd.cc25pclv
title: CCDC 2016537: Experimental Crystal Structure Determination

description: Related Article: Ryunosuke Kuriki, Takuya Kuwabara, Youichi Ishii|2020|Dalton Trans.|49|12234|doi:10.1039/D0DT02496A
DOI: 10.5517/ccdc.csd.cc25pcnx
title: CCDC 2016539: Experimental Crystal Structure Determination

description: Related Article: Ryunosuke Kuriki, Takuya Kuwabara, Youichi Ishii|2020|Dalton Trans.|49|12234|doi:10.1039/D0DT02496A
DOI: 10.5517/ccdc.csd.cc25r6rx
title: CCDC 2018309: Experimental Crystal Structure Determination

description: Related Article: Ting Xu, Na Lin, Wen-Juan Hao, Jie Zhang, Meng-Fan Li, Shu-Jiang Tu, Bo Jiang|2020|Chem.Commun.|56|11406|doi:10.1039/D0CC05027J
DOI: 10.5517/ccdc.csd.cc25rc1c
title: CCDC 2018442: Experimental Crystal Structure Determination

description: Related Article: Jingyan Hu, Xiaoming Ji, Shuai Hao, Mingqin Zhao, Miao Lai, Tianbao Ren, Gaolei Xi, Erbin Wang, Juanjuan Wang, Zhiyong Wu|2020|RSC Advances|10|31819|doi:10.1039/D0RA06635D
DOI: 10.5517/ccdc.csd.cc252nnl
title: CCDC 1998559: Experimental Crystal Structure Determination

description: Related Article: Kang Du, Serge D. Zemerov, Patrick J. Carroll, Ivan J. Dmochowski|2020|Inorg.Chem.|59|12758|doi:10.1021/acs.inorgchem.0c01816
DOI: 10.5517/ccdc.csd.cc252npm
title: CCDC 1998560: Experimental Crystal Structure Determination

description: Related Article: Kang Du, Serge D. Zemerov, Patrick J. Carroll, Ivan J. Dmochowski|2020|Inorg.Chem.|59|12758|doi:10.1021/acs.inorgchem.0c01816
DOI: 10.5517/ccdc.csd.cc252nsq
title: CCDC 1998563: Experimental Crystal Structure Determination

description: Related Article: Kang Du, Serge D. Zemerov, Patrick J. Carroll, Ivan J. Dmochowski|2020|Inorg.Chem.|59|12758|doi:10.1021/acs.inorgchem.0c01816
DOI: 10.5517/ccdc.csd.cc25g2xn
title: CCDC 2009541: Experimental Crystal Structure Determination

description: Related Article: Kang Du, Serge D. Zemerov, Patrick J. Carroll, Ivan J. Dmochowski|2020|Inorg.Chem.|59|12758|doi:10.1021/acs.inorgchem.0c01816
DOI: 10.5517/ccdc.csd.cc258n15
title: CCDC 2004306: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25tvjd
title: CCDC 2020844: Experimental Crystal Structure Determination

description: Related Article: Magdalena Ola Cichocka, Zuozhong Liang, Dawei Feng, Seoin Back, Samira Siahrostami, Xia Wang, Laura Samperisi, Yujia Sun, Hongyi Xu, Niklas Hedin, Haoquan Zheng, Xiaodong Zou, Hong-Cai Zhou, Zhehao Huang|2020|J.Am.Chem.Soc.|142|15386|doi:10.1021/jacs.0c06329
DOI: 10.5517/ccdc.csd.cc25w0rv
title: CCDC 2021967: Experimental Crystal Structure Determination

description: Related Article: Ryunosuke Kuriki, Takuya Kuwabara, Youichi Ishii|2020|Dalton Trans.|49|12234|doi:10.1039/D0DT02496A