cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10047347.v1
title: For Dan Filtered Data SGA Final.csv from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047350.v1
title: For Dan PIN Data.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047329
title: Demographics WUSTL.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047344.v1
title: NYU data Demographics.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047332
title: For Dan SGA Nadav R03.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047335
title: For Dan Filtered Data SGA Final from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047326
title: Demographics UCONN.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047329.v1
title: Demographics WUSTL.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047323
title: Demographics.csv from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047326.v1
title: Demographics UCONN.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047332.v1
title: For Dan SGA Nadav R03.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047335.v1
title: For Dan Filtered Data SGA Final from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047320
title: For Dan UConn Calcluation of Beta.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047323.v1
title: Demographics.csv from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047311
title: For Dan R03Data SGA.csv from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047314
title: Percentile Placental Volumes for Dan.csv from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047317
title: Filtering Code to merge R03 Files.R from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047308
title: For Dan Nadav R03 Dataset.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047320.v1
title: For Dan UConn Calcluation of Beta.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047314.v1
title: Percentile Placental Volumes for Dan.csv from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047317.v1
title: Filtering Code to merge R03 Files.R from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047308.v1
title: For Dan Nadav R03 Dataset.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047311.v1
title: For Dan R03Data SGA.csv from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047305
title: Demographics PIN.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047299
title: Demographics UPENN.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047296
title: Males For Dan.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047299.v1
title: Demographics UPENN.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047305.v1
title: Demographics PIN.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047293
title: Placenta Research3 2_4_2019.R from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.
DOI: 10.6084/m9.figshare.10047221
title: Supplementary Material for: Aged Osteoporotic Bone Marrow Stromal Cells Demonstrate Defective Recruitment, Mechanosensitivity, and Matrix Deposition

description: Bone formation requires the replenishment of the osteoblast from a progenitor or stem cell population, which must be recruited, expanded, and differentiated to ensure continued anabolism. How this occurs and whether it is altered in the osteoporotic environment is poorly understood. Furthermore, given that emerging treatments for osteoporosis are targeting this progenitor population, it is critical to determine the regenerative capacity of this cell type in the setting of osteoporosis. Human bone marrow stromal cells (hMSCs) from a cohort of aged osteoporotic patients were compared to MSCs isolated from healthy donors in terms of the ability to undergo recruitment and proliferation, and also respond to both the biophysical and biochemical cues that drive osteogenic matrix deposition. hMSCs isolated from healthy donors demonstrate good recruitment, mechanosensitivity, proliferation, and differentiation capacity. Contrastingly, hMSCs isolated from aged osteoporotic patients had significantly diminished regenerative potential. Interestingly, we demonstrated that osteoporotic hMSCs no longer responded to chemokine-directing recruitment and became desensitised to mechanical stimulation. The osteoporotic MSCs had a reduced proliferative potential and, importantly, they demonstrated an attenuated differentiation capability with reduced mineral and lipid formation. Moreover, during osteogenesis, despite minimal differences in the quantity of deposited collagen, the distribution of collagen was dramatically altered in osteoporosis, suggesting a potential defect in matrix quality. Taken together, this study has demonstrated that hMSCs isolated from aged osteoporotic patients demonstrate defective cell behaviour on multiple fronts, resulting in a significantly reduced regenerative potential, which must be considered during the development of new anabolic therapies that target this cell population.
DOI: 10.6084/m9.figshare.10047296.v1
title: Males For Dan.xlsx from Gestational growth trajectories derived from a dynamic fetal–placental scaling law

description: Fetal trajectories characterizing growth rates <i>in utero</i> have relied primarily on goodness of fit rather than mechanistic properties exhibited <i>in utero</i>. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events <i>in utero</i>.