cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19203979.v2
title: Amputee, clinician, and regulator perspectives on current and prospective upper extremity prosthetic technologies

description: Existing prosthetic technologies for people with upper limb amputation are being adopted at moderate rates. Once fitted for these devices, many upper limb amputees report not using them regularly or at all. The primary aim of this study was to solicit feedback about prosthetic technology and important device design criteria from amputees, clinicians, and device regulators. We compare these perspectives to identify common or divergent priorities. Twenty-one adults with upper limb loss, 35 clinicians, and 3 regulators completed a survey on existing prosthetic technologies and a conceptual sensorimotor prosthesis driven by implanted myoelectric electrodes with sensory feedback via spinal root stimulation. The survey included questions from the Trinity Amputation and Prosthesis Experience Scale, the Disabilities of the Arm, Shoulder, and Hand, and novel questions about technology acceptance and neuroprosthetic design. User and clinician ratings of satisfaction with existing devices were similar. Amputees were most accepting of the proposed sensorimotor prosthesis (75.5% vs clinicians (68.8%), regulators (67.8%)). Stakeholders valued user-centered outcomes like individualized task goals, improved quality of life, device reliability, and user safety; regulators emphasized these last two. The results of this study provide insight into amputee, clinician, and regulator priorities to inform future upper-limb prosthetic design and clinical trial protocol development.
DOI: 10.5519/qd.6ovsj8jr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (43 records)
DOI: 10.18112/openneuro.ds004305.v1.0.1
title: Mapping neuroinflammation in vivo with diffusion-MRI in rats given a systemic lipopolysaccharide challenge
DOI: 10.6084/m9.figshare.23524290
title: Supplemental Material.docx

description: Sound velocity of eclogite at high pressures and implications for detecting eclogitization in subduction zones
DOI: 10.6084/m9.figshare.23524290.v1
title: Supplemental Material.docx

description: Sound velocity of eclogite at high pressures and implications for detecting eclogitization in subduction zones
DOI: 10.6084/m9.figshare.22359940
title: Supplementary Material for: Real-World Phosphate Binder Use Among Dialysis-Dependent Patients With CKD

description: Introduction: For patients with chronic kidney disease (CKD), the need for phosphate binder (PB) treatment peaks at onset of dialysis. This real-world study assessed rates of PB utilization and switching in patients with dialysis-dependent CKD (DD-CKD). Methods: We identified patients with PB utilization among those with prevalent DD-CKD using 2018-2019 Medicare Parts A/B/D data. Patients were assigned to cohorts based on primary (most frequently used) PB among calcium acetate, ferric citrate, lanthanum carbonate, sevelamer (hydrochloride and carbonate), sucroferric oxyhydroxide. We measured proportion of patients who were adherent (proportion of days covered &gt;80%) and persistent (patients whose last 90 days of outpatient dialysis reported PB use). Net switching rates were calculated as the difference between switches to and from the primary agent. Results: We identified 136,912 patients with PB use. Proportion of patients adherent ranged from 63.8% (lanthanum carbonate) to 67.7% (sevelamer) and persistent from 85.1% (calcium acetate) to 89.5% (ferric citrate). Most patients (73%) used the same PB throughout the study. Overall, 20.5% of patients experienced one switch and 2.3% two or more. Positive net switching rates were observed for ferric citrate, sucroferric oxyhydroxide, and lanthanum carbonate (2% to 10%) but negative for sevelamer and calcium acetate (–2% to –7%). Discussion/Conclusion: Adherence and persistence rates were low with slight variation across PBs. Net positive switching occurred for ferric citrate, sucroferric oxyhydroxide, and lanthanum carbonate. Further studies are needed to determine the reasons for these findings and could identify opportunities for better control of phosphate levels among patients with CKD.
DOI: 10.6084/m9.figshare.22359940.v1
title: Supplementary Material for: Real-World Phosphate Binder Use Among Dialysis-Dependent Patients With CKD

description: Introduction: For patients with chronic kidney disease (CKD), the need for phosphate binder (PB) treatment peaks at onset of dialysis. This real-world study assessed rates of PB utilization and switching in patients with dialysis-dependent CKD (DD-CKD). Methods: We identified patients with PB utilization among those with prevalent DD-CKD using 2018-2019 Medicare Parts A/B/D data. Patients were assigned to cohorts based on primary (most frequently used) PB among calcium acetate, ferric citrate, lanthanum carbonate, sevelamer (hydrochloride and carbonate), sucroferric oxyhydroxide. We measured proportion of patients who were adherent (proportion of days covered &gt;80%) and persistent (patients whose last 90 days of outpatient dialysis reported PB use). Net switching rates were calculated as the difference between switches to and from the primary agent. Results: We identified 136,912 patients with PB use. Proportion of patients adherent ranged from 63.8% (lanthanum carbonate) to 67.7% (sevelamer) and persistent from 85.1% (calcium acetate) to 89.5% (ferric citrate). Most patients (73%) used the same PB throughout the study. Overall, 20.5% of patients experienced one switch and 2.3% two or more. Positive net switching rates were observed for ferric citrate, sucroferric oxyhydroxide, and lanthanum carbonate (2% to 10%) but negative for sevelamer and calcium acetate (–2% to –7%). Discussion/Conclusion: Adherence and persistence rates were low with slight variation across PBs. Net positive switching occurred for ferric citrate, sucroferric oxyhydroxide, and lanthanum carbonate. Further studies are needed to determine the reasons for these findings and could identify opportunities for better control of phosphate levels among patients with CKD.
DOI: 10.6084/m9.figshare.23524287
title: test excel table

description: Test. Describe data here
DOI: 10.5519/qd.8lhspwog
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (39 records)
DOI: 10.34683/sr1753
title: StoneRounds Case: SR1753
title: XL Retinoschisis

description: StoneRounds Case SR1753 was diagnosed with XL Retinoschisis likely caused by mutations in the gene: RS1.
DOI: 10.6084/m9.figshare.23524278
title: raw data.xlsx

description: The original data includes the basic information of the subjects and the follow-up data of Action Research Arm Test，Fugl–Meyer score for the upper extremity, Motor Function Assessment Scale, modified Barthel indexand before and after the experiment.
DOI: 10.6084/m9.figshare.21482829
title: Mammal Milk Microbiome files

description: Files include R code, metadata, taxonomy table, feature table, DNA sequences, and newick tree.
DOI: 10.6084/m9.figshare.22665535.v2
title: Accounting for central place foraging constraints in habitat selection studies

description: "CP-dependent_landscape.asc" is the file corresponding to the CP-dependent landscape "CP-independent_landscape.asc" is the file corresponding to the CP-independent landscape HABITAT_SELECTION_pseudo-code.txt is the code used to simulate a biased correlated random walk for the conditional logistic regression analysis.
DOI: 10.5281/zenodo.8036812
title: Inter-rating reliability of the Swiss Easy-Read Integrated Palliative Care Outcome Scale for People with Dementia

description: <strong># Brief project overview</strong><br> This is Data coming out of the IPOS-Dem project, a Stepped-wedge Cluster Randomised Trial (SW-CRT). Please make shure to check out the SW-CRT protocol for more details at https://www.doi.org/10.1111/jan.14953. A detailed description of the reliability study published based on this data is availiable at https://www.doi.org/10.1371/journal.pone.0286557. We are currently working on our main study (SW-CRT) analysis. While we remain dedicated to open science, our priority is to ensure the utmost integrity of our ongoing research.<br> I am pleased to inform you that we anticipate the final trial results to be published by Fall-Winter of 2023. Upon completion, our anonymized full dataset will be made accessible at https://doi.org/10.5281/zenodo.4008427. Interested parties seeking early access are encouraged to reach out to the first author directly. Furthermore, we are committed to enhancing the transparency and reproducibility of our research, and as such, we will provide the code for the full analysis at https://doi.org/10.5281/zenodo.4008429. <strong># Contributors</strong><br> Frank Spichiger, Andrea Koppitz, Thomas Volken, André Meichtry <strong>## Repository overview</strong> |-- readme.md<br> |-- documentation<br> |--readme.md<br> |--IPOS-Dem-Reliability_data-dictionary.html<br> |--IPOS-Dem-Reliability_sociodemographics_data-dictionary.html |-- data<br> |-- readme.md<br> |--data.csv<br> |--sd_overall.csv<br> |-- analysis<br> |--readme.md<br> |--scripts<br> |--MainAnalysis.rmd<br> |--S1_ClusterwiseSDs.rmd<br> |--S2_Item_Characteristics.rmd <br> <strong># Applicable instructions</strong><br> The R markdown files were generated using R 4.2.2 in RStudio 2023.06.0 for MacOS X you can run them using free software but will need to install R, Rstudio and the packages introduced at the beginning of the files we used. <strong># Additional resources</strong><br> - Main study protocol: https://www.doi.org/10.1111/jan.14953<br> - IPOS-Dem translation and adaption: https://www.doi.org/10.1186/s41687-022-00420-7<br> - Pos-Pal consortium with more information on the measure: https://www.pos-pal.org
description: The study was approved by the Research Ethics Committee of the canton of Zurich, Switzerland (BASEC-ID: 2019-01847) and is conducted in line with the principles put down in the Helsinki Declaration (29). The overarching trial is registered with DRKS00022339. All participants and/or their respective attorneys signed written informed consent for participation and publication. All raters have signed written informed consent for participation and publication.
DOI: 10.5281/zenodo.8036811
title: Inter-rating reliability of the Swiss Easy-Read Integrated Palliative Care Outcome Scale for People with Dementia

description: <strong># Brief project overview</strong><br> This is Data coming out of the IPOS-Dem project, a Stepped-wedge Cluster Randomised Trial (SW-CRT). Please make shure to check out the SW-CRT protocol for more details at https://www.doi.org/10.1111/jan.14953. A detailed description of the reliability study published based on this data is availiable at https://www.doi.org/10.1371/journal.pone.0286557. We are currently working on our main study (SW-CRT) analysis. While we remain dedicated to open science, our priority is to ensure the utmost integrity of our ongoing research.<br> I am pleased to inform you that we anticipate the final trial results to be published by Fall-Winter of 2023. Upon completion, our anonymized full dataset will be made accessible at https://doi.org/10.5281/zenodo.4008427. Interested parties seeking early access are encouraged to reach out to the first author directly. Furthermore, we are committed to enhancing the transparency and reproducibility of our research, and as such, we will provide the code for the full analysis at https://doi.org/10.5281/zenodo.4008429. <strong># Contributors</strong><br> Frank Spichiger, Andrea Koppitz, Thomas Volken, André Meichtry <strong>## Repository overview</strong> |-- readme.md<br> |-- documentation<br> |--readme.md<br> |--IPOS-Dem-Reliability_data-dictionary.html<br> |--IPOS-Dem-Reliability_sociodemographics_data-dictionary.html |-- data<br> |-- readme.md<br> |--data.csv<br> |--sd_overall.csv<br> |-- analysis<br> |--readme.md<br> |--scripts<br> |--MainAnalysis.rmd<br> |--S1_ClusterwiseSDs.rmd<br> |--S2_Item_Characteristics.rmd <br> <strong># Applicable instructions</strong><br> The R markdown files were generated using R 4.2.2 in RStudio 2023.06.0 for MacOS X you can run them using free software but will need to install R, Rstudio and the packages introduced at the beginning of the files we used. <strong># Additional resources</strong><br> - Main study protocol: https://www.doi.org/10.1111/jan.14953<br> - IPOS-Dem translation and adaption: https://www.doi.org/10.1186/s41687-022-00420-7<br> - Pos-Pal consortium with more information on the measure: https://www.pos-pal.org
description: The study was approved by the Research Ethics Committee of the canton of Zurich, Switzerland (BASEC-ID: 2019-01847) and is conducted in line with the principles put down in the Helsinki Declaration (29). The overarching trial is registered with DRKS00022339. All participants and/or their respective attorneys signed written informed consent for participation and publication. All raters have signed written informed consent for participation and publication.
DOI: 10.25345/c5804xv8r
title: MassIVE MSV000092176 - Subcytoplasmic location of translation controls protein output
title: Supporting raw data of HEK293T cells proteomics analysis. (related to Horste et al 2023 - DOI: TBD)
DOI: 10.34683/sr2660
title: StoneRounds Case: SR2660
title: Cone and Cone Rod Dystrophy

description: StoneRounds Case SR2660 was diagnosed with Cone and Cone Rod Dystrophy likely caused by mutations in the gene: GUCY2D.
DOI: 10.5281/zenodo.8043871
title: Datasets of AOD and Top of Atmosphere solar spectra discussed in publication AMT-2023-105.

description: The datasets represent Aerosol Optical Depth at selected wavelength bands from a field campaign at Izana, 6-22 September 2022, in the frame of the JRP project MAPP, Metrology for Aerosol Optical Properties 19ENV04. This data was obtained within the joint research project EMPIR 19ENV04 MAPP “Metrology for aerosol optical properties” which has been supported by the European Metrology Program for Innovation and Research (EMPIR) . The EMPIR is jointly funded by the EMPIR participating countries within EURAMET and the European Union.
DOI: 10.6084/m9.figshare.22756138
title: Learning Block Structured Graphs in Gaussian Graphical Models

description: A prior distribution for the underlying graph is introduced in the framework of Gaussian graphical models. Such a prior distribution induces a block structure in the graph’s adjacency matrix, allowing learning relationships between fixed groups of variables. A novel sampling strategy named Double Reversible Jumps Markov chain Monte Carlo is developed for learning block structured graphs under the conjugate G-Wishart prior. The algorithm proposes moves that add or remove not just a single edge of the graph but an entire group of edges. The method is then applied to smooth functional data. The classical smoothing procedure is improved by placing a graphical model on the basis expansion coefficients, providing an estimate of their conditional dependence structure. Since the elements of a B-Spline basis have compact support, the conditional dependence structure is reflected on well-defined portions of the domain. A known partition of the functional domain is exploited to investigate relationships among portions of the domain and improve the interpretability of the results. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.22756138.v1
title: Learning Block Structured Graphs in Gaussian Graphical Models

description: A prior distribution for the underlying graph is introduced in the framework of Gaussian graphical models. Such a prior distribution induces a block structure in the graph’s adjacency matrix, allowing learning relationships between fixed groups of variables. A novel sampling strategy named Double Reversible Jumps Markov chain Monte Carlo is developed for learning block structured graphs under the conjugate G-Wishart prior. The algorithm proposes moves that add or remove not just a single edge of the graph but an entire group of edges. The method is then applied to smooth functional data. The classical smoothing procedure is improved by placing a graphical model on the basis expansion coefficients, providing an estimate of their conditional dependence structure. Since the elements of a B-Spline basis have compact support, the conditional dependence structure is reflected on well-defined portions of the domain. A known partition of the functional domain is exploited to investigate relationships among portions of the domain and improve the interpretability of the results. Supplementary materials for this article are available online.
DOI: 10.5281/zenodo.8043753
title: Data for paper 'Machine Learning Force Fields for Molecular Liquids: Ethylene Carbonate / Ethyl Methyl Carbonate Binary Solvent'

description: This data is supplied in conjunction with the paper: Magdău, I. B., Arismendi-Arrieta, D. J., Smith, H. E., Grey, C. P., Hermansson, K., and Csányi, G. NPJ Computational Materials, accepted. (2023). "Machine Learning Force Field for Molecular Liquids: Ethylene Carbonate / Ethyl Methyl Carbonate Binary Solvent." The archive contains the final EC:EMC training data and test sets (Volume Scans, Intra/Inter splits), final GAP potential and the MD trajectories described in the paper. The data is accompanied by a Jupyter Notebook: HowTo.ipynb (also compiled as *.pdf and *.html) which explains in detail the structure of the data and how to interact with it. The Notebook also demonstrates how to create volume scans, intra/inter splits and analyze configurations and MD trajectories.
DOI: 10.5281/zenodo.8043752
title: Data for paper 'Machine Learning Force Fields for Molecular Liquids: Ethylene Carbonate / Ethyl Methyl Carbonate Binary Solvent'

description: This data is supplied in conjunction with the paper: Magdău, I. B., Arismendi-Arrieta, D. J., Smith, H. E., Grey, C. P., Hermansson, K., and Csányi, G. NPJ Computational Materials, accepted. (2023). "Machine Learning Force Field for Molecular Liquids: Ethylene Carbonate / Ethyl Methyl Carbonate Binary Solvent." The archive contains the final EC:EMC training data and test sets (Volume Scans, Intra/Inter splits), final GAP potential and the MD trajectories described in the paper. The data is accompanied by a Jupyter Notebook: HowTo.ipynb (also compiled as *.pdf and *.html) which explains in detail the structure of the data and how to interact with it. The Notebook also demonstrates how to create volume scans, intra/inter splits and analyze configurations and MD trajectories.
DOI: 10.6084/m9.figshare.22665535
title: Accounting for central place foraging constraints in habitat selection studies

description: " CP-dependent-landscape-continuous.asc" is the file corresponding to the CP-dependent landscape " CP-independent-landscape-continuous.asc" is the file corresponding to the CP-independent landscape HABITAT_SELECTION_pseudo-code.txt is the code used to simulate a biased correlated random walk for the conditional logistic regression analysis.
DOI: 10.6084/m9.figshare.22665535.v3
title: Accounting for central place foraging constraints in habitat selection studies

description: " CP-dependent-landscape-continuous.asc" is the file corresponding to the CP-dependent landscape " CP-independent-landscape-continuous.asc" is the file corresponding to the CP-independent landscape HABITAT_SELECTION_pseudo-code.txt is the code used to simulate a biased correlated random walk for the conditional logistic regression analysis.
DOI: 10.6084/m9.figshare.23524569
title: HuR and LPS-dependent gene expression in NRVMs

description: HuR and LPS-dependent gene expression in NRVMs
DOI: 10.6084/m9.figshare.23524569.v1
title: HuR and LPS-dependent gene expression in NRVMs

description: HuR and LPS-dependent gene expression in NRVMs
DOI: 10.5281/zenodo.8038376
title: TM-Vec training data

description: Protein/Domain pairs and corresponding TM-scores used for training TM-Vec models Training data for TM-Vec models used in: “TM-Vec: template modeling vectors for fast homology detection and alignment” by Hamamsy et al. Preprint: https://www.biorxiv.org/content/10.1101/2022.07.25.501437v1
DOI: 10.5517/ccdc.csd.cc21m5xs
title: CCDC 1895275: Experimental Crystal Structure Determination

description: Related Article: Ali Dekir, Malika Berredjem, Khadidja Otmane Rachedi, Rania Bahadi, Seif Eddine Djouad, Sofiane Bouacida, Ismahene Grib, Nasir Iqbal, Rayenne Redjemia, Meriem Boussaker|2023|J.Mol.Struct.|1289|135831|doi:10.1016/j.molstruc.2023.135831
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b9b00
title: CCDC 2153911: Experimental Crystal Structure Determination

description: Related Article: Pedro Delgado, Javier D. Martin-Romera, Cristina Perona, Rebecca Vismara, Simona Galli, Carmen R. Maldonado, Francisco J. Carmona, Natalia M. Padial, Jorge A. R. Navarro|2022|ACS Applied Materials and Interfaces|14|26501|doi:10.1021/acsami.2c06025
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bwmjd
title: CCDC 2171504: Experimental Crystal Structure Determination

description: Related Article: Yang Zhang, Li Tong, Xun Li, Lin Dou, Hao Cheng, Wen-Kui Dong, Yu-Jie Ding|2023|J.Mol.Struct.|1289|135868|doi:10.1016/j.molstruc.2023.135868
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bdwxk
title: CCDC 2157349: Experimental Crystal Structure Determination

description: Related Article: Sanehiro Muromachi, Satoshi Takeya, Saman Alavi, John A. Ripmeester|2022|CrystEngComm|24|4366|doi:10.1039/D2CE00598K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.