cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23939469.v1
title: Supplementary Material for: Variation in ischemic stroke payments in the USA: a Medicare beneficiary study

description: Introduction: The growing cost of stroke care has created the need for outcome-oriented and cost-saving payment models. Identifying imbalances in the current reimbursement model is an essential step towards designing impactful value-based reimbursement strategies. This study describes the variation in reimbursement fees for ischemic stroke management across the United States. Methods: This Medicare Fee-For-Service claims study examines USA beneficiaries who suffered an ischemic stroke from 2021Q1 to 2022Q2 identified using the Medicare Severity Diagnosis-Related Groups (MS-DRGs). Demographic national and regional US data were extracted from the Census Bureau. The MS-DRG codes were grouped into four categories according to treatment modality and clinical complexity. Our primary outcome of interest was payments made across individual US states and US geographic regions, assessed by computing the mean incremental payment in cases of comparable complexity. Differences between states for each MS-DRG were statistically evaluated using a linear regression model of the logarithmic transformed payments. Results: 227,273 ischemic stroke cases were included in our analysis. Significant variations were observed among all DRG-groups defined by medical complexity, treatment modality, and states (p&lt;0.001). Differences in mean payment per case with the same MS-DRG vary by as high as 500% among individual states. Although higher payment rates were observed in MS-DRG codes with Major Comorbidities or Complexity, the variation was more expressive for codes without MCC. It was not possible to identify a standard mean incremental fee at a state level. At a regional level, the Northeast registered the highest fees, followed by the West, Midwest, and South, which correlates with poverty rates and median household income in the regions. Discussion/Conclusions: The payment variability observed across USA states suggests that the current reimbursement system needs to be aligned with stroke treatment costs. Future studies may go one step further to evaluate accurate stroke management costs to guide policymakers in introducing health policies that promote better care for stroke patients.
DOI: 10.5281/zenodo.5115253
title: Model for the GRL Paper: P and S wave anisotropic tomography of the Banda subduction zone

description: The 3-D tomographic models of isotropic velocity and azimuthal anisotropy beneath the Banda subduction zone.
DOI: 10.5281/zenodo.8245536
title: Model for the GRL Paper: P and S wave anisotropic tomography of the Banda subduction zone

description: The 3-D tomographic models of isotropic velocity and azimuthal anisotropy beneath the Banda subduction zone.
DOI: 10.6084/m9.figshare.22774784
title: Replication Package of "Using Deep Learning to Automatically Improve Code Readability"

description: Reading source code occupies most of developer’s daily activities. Any maintenance and evolution task requires developers to read and understand the code they are going to modify. For this reason, previous research focused on the definition of techniques to automatically assess the readability of a given snippet. However, when many unreadable code sections are detected, developers might be required to manually modify them all to improve their readability. While existing approaches aim at solving specific readability-related issues, such as improving variable names or fixing styling issues, there is still no approach to automatically suggest which actions should be taken to improve code readability. In this paper, we define the first holistic readability-improving approach. As a first contribution, we introduce a methodology for automatically identifying readability-improving commits, and we use it to built a large dataset of 124k commits by mining the whole revision history of all the projects hosted on GitHub between 2015 and 2022. We show that such a methodology has a ∼86% accuracy. As a second contribution, we train and test the T5 model to emulate what developers did to improve readability. We show that our model achieves a perfect prediction accuracy between 21% and 28%. The results of a manual evaluation we performed on 500 predictions shows that when the model does not change the behavior of the input and and it applies changes (34% of the cases), in the large majority of the cases (79.4%) it allows to improve code readability.
DOI: 10.5281/zenodo.7703483
title: Genomically predicted theoretical protein mass database for mass spectrometry (GPMsDB) R01-RS95

description: GPMsDB-tk/GPMsDB-dbtk are software toolkits for assigning taxonomic identification to user-provided MALDI-TOF mass spectrometry profiles obtained from bacterial and archaeal cultured isolates. This is a database (release R01-RS95) used for the toolkits. The database is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License. GPMsDB-tk/GPMsDB-dbtk are available at https://github.com/ysekig. Details are shown at the GitHub sites.
DOI: 10.6084/m9.figshare.23939424
title: NMR analyses of Atg8 conjugation machinery

description: NMR dataset for the investigation of the interaction between proteins in Atg8 conjugation machinery. The raw data can be read and processed by Bruker Topspin or appropriate softwares. The experimental conditions are described in text files named title.<br>
DOI: 10.6084/m9.figshare.23939424.v1
title: NMR analyses of Atg8 conjugation machinery

description: NMR dataset for the investigation of the interaction between proteins in Atg8 conjugation machinery. The raw data can be read and processed by Bruker Topspin or appropriate softwares. The experimental conditions are described in text files named title.<br>
DOI: 10.5281/zenodo.8167816
title: Plantago major effects on the innate immunity of Galleria mellonella

description: These data have been published for the purpose of better evaluation of the article titled "Immunosuppressive effect of <em>Plantago major</em> on the innate immunity of <em>Galleria mellonella</em>" by the referees. These data have been obtained as a result of experiments and all rights belong to the publishing author and the supporting organization. This study was supported by Çanakkale Onsekiz Mart University The Scientific Research Coordination Unit (Grant number: FBA-2020-325).
DOI: 10.5281/zenodo.7565154
title: Plantago major effects on the innate immunity of Galleria mellonella

description: These data have been published for the purpose of better evaluation of the article titled "Immunosuppressive effect of <em>Plantago major</em> on the innate immunity of <em>Galleria mellonella</em>" by the referees. These data have been obtained as a result of experiments and all rights belong to the publishing author and the supporting organization. This study was supported by Çanakkale Onsekiz Mart University The Scientific Research Coordination Unit (Grant number: FBA-2020-325).
DOI: 10.5281/zenodo.7898811
title: Data accompanying the GitHub repository bartonlab/paper-HIV-latent-reservoir

description: This dataset contains data from simulations of the HIV-1 dynamics that accompany the GitHub repository bartonlab/paper-HIV-latent-reservoir. The GitHub repository contains code for reproducing results described in the manuscript 'Clonal heterogeneity and antigenic stimulation shape persistence of the latent reservoir of HIV'. See the GitHub repository for details.
DOI: 10.5281/zenodo.7898810
title: Data accompanying the GitHub repository bartonlab/paper-HIV-latent-reservoir

description: This dataset contains data from simulations of the HIV-1 dynamics that accompany the GitHub repository bartonlab/paper-HIV-latent-reservoir. The GitHub repository contains code for reproducing results described in the manuscript 'Clonal heterogeneity and antigenic stimulation shape persistence of the latent reservoir of HIV'. See the GitHub repository for details.
DOI: 10.5281/zenodo.8245526
title: Diffraction images of liprinbeta H2H3

description: X-ray diffraction data were collected at beamlines BL17U1 and BL18U1 of Shanghai Synchrotron Radiation Facility.
DOI: 10.5281/zenodo.8245525
title: Diffraction images of liprinbeta H2H3

description: X-ray diffraction data were collected at beamlines BL17U1 and BL18U1 of Shanghai Synchrotron Radiation Facility.
DOI: 10.11588/data/p9jepg/ijgmqv
title: Self-collection Antigen Test Systematic Review 2022-08-04.xlsx

description: :unav
DOI: 10.11588/data/p9jepg/jjd0tv
title: Self-collection Antigen Test Systematic Review 2023-01-21.xlsx

description: :unav
DOI: 10.11588/data/p9jepg/sanuk0
title: Self-collection Antigen Test Systematic Review 2023-08-10.xlsx

description: :unav
DOI: 10.5281/zenodo.8245193
title: Diffraction images of KANK_KN and talin R7

description: X-ray diffraction data were collected at beamlines BL17U1 and BL18U1 of Shanghai Synchrotron Radiation Facility.
DOI: 10.5281/zenodo.8245192
title: Diffraction images of KANK_KN and talin R7

description: X-ray diffraction data were collected at beamlines BL17U1 and BL18U1 of Shanghai Synchrotron Radiation Facility.
DOI: 10.5281/zenodo.7199843
title: Data from : Successful recycling of construction wastes into multifunctional soil for green infrastructures, Pruvost & al 2022

description: Dataset of the Paper "Successful recycling of construction wastes into multifunctional soil for green infrastructures" by Pruvost et al. 2023. macrofauna.csv soil_properties.csv vegetation.csv vegetation_biomass.csv
DOI: 10.5281/zenodo.7199844
title: Data from : Successful recycling of construction wastes into multifunctional soil for green infrastructures, Pruvost & al 2022

description: Dataset of the Paper "Successful recycling of construction wastes into multifunctional soil for green infrastructures" by Pruvost et al. 2023. macrofauna.csv soil_properties.csv vegetation.csv vegetation_biomass.csv
DOI: 10.6084/m9.figshare.23939640
title: EnrichR_Ageing_genes_kmeans5_padj0.05

description: Ontology analyses of ageing genes in early embryo development
DOI: 10.6084/m9.figshare.23939640.v1
title: EnrichR_Ageing_genes_kmeans5_padj0.05

description: Ontology analyses of ageing genes in early embryo development
DOI: 10.6084/m9.figshare.23939613
title: Tree file of article

description: Tree file used in the article: <b>Phylogenetic reconstruction of Corydioidea</b><b> (Dictyoptera: Blattodea) provides new insights on the placement of </b><b>Latindiinae</b><b> and supports the proposal of the new subfamily Ctenoneurinae</b>
DOI: 10.5281/zenodo.8186554
title: WALL-E polarization lidar measurements from Cyprus campaign 11/2019

description: WALL-E lidar measurements during the Cyprus observational campaign, on November 2019.The description of the WALL-E lidar system design and calibration procedures can be found herein: Tsekeri, A., Amiridis, V., Louridas, A., Georgoussis, G., Freudenthaler, V., Metallinos, S., Doxastakis, G., Gasteiger, J., Siomos, N., Paschou, P., Georgiou, T., Tsaknakis, G., Evangelatos, C., and Binietoglou, I.: Polarization lidar for detecting dust orientation: system design and calibration, Atmos. Meas. Tech., 14, 7453–7474, https://doi.org/10.5194/amt-14-7453-2021, 2021. Orientation flag measurements Measurements for the lidar system calibration
DOI: 10.5281/zenodo.8186555
title: WALL-E polarization lidar measurements from Cyprus campaign 11/2019

description: WALL-E lidar measurements during the Cyprus observational campaign, on November 2019.The description of the WALL-E lidar system design and calibration procedures can be found herein: Tsekeri, A., Amiridis, V., Louridas, A., Georgoussis, G., Freudenthaler, V., Metallinos, S., Doxastakis, G., Gasteiger, J., Siomos, N., Paschou, P., Georgiou, T., Tsaknakis, G., Evangelatos, C., and Binietoglou, I.: Polarization lidar for detecting dust orientation: system design and calibration, Atmos. Meas. Tech., 14, 7453–7474, https://doi.org/10.5194/amt-14-7453-2021, 2021. Orientation flag measurements Measurements for the lidar system calibration
DOI: 10.5281/zenodo.7647785
title: Corrections for Geostationary Cloud Liquid Water Path Using Microwave Imagery

description: Netcdf files containing a set of correctional factors for GOES-16 and GOES-17 cloud liquid-water path (LWP). The correctional factors for both satellites are fractional corrections of microwave imager LWP divided by GOES-16/17 LWP at a given solar zenith, GOES sensor zenith, relative azimuth (solar - sensor zenith), and low-cloud fraction. Uncorrected GOES-16/17 LWP is derived from GOES retrieved cloud-optical thickness and cloud-top effective radius, and it is multiplied by the corresponding correctional factor (i.e. the bins which the uncorrected values are in).
DOI: 10.5281/zenodo.7729117
title: Burnt Area and Land Cover in South-West Pará, Brazil, 2014 to 2020.

description: This dataset BLCM.zip contains the Burnt Area and Land Cover Maps (BLCM) described in: Jakimow, B., Baumann, H., Salomão, C., Bendini, H. & Hostert, P. (2023). Deforestation and agricultural fires in South-West Pará, Brazil, under political changes from 2014 to 2020. Journal of Land Use Science. https://doi.org/10.1080/1747423X.2023.2195420 The raster maps have use the BU MEaSUREs Lambert Azimuthal Equal Area - SA - V01 project. See https://github.com/measures-glance/glance-grids for details. File Content MAP_BLCM_&lt;year&gt;.tif BLCM map for &lt;year&gt; MAP_YoD.tif year of deforestation raster AOI.gpkg Polygon of Area of Interest used in Jakimow et al. (2023) wkt.txt WKT string for BU MEaSUREs Lambert Azimuthal Equal Area - SA - V01 coordinate reference system BLCM.qgs QGIS Project file to visualize these map, generated with QGIS 3.30
DOI: 10.5281/zenodo.7729118
title: Burnt Area and Land Cover in South-West Pará, Brazil, 2014 to 2020.

description: This dataset BLCM.zip contains the Burnt Area and Land Cover Maps (BLCM) described in: Jakimow, B., Baumann, H., Salomão, C., Bendini, H. & Hostert, P. (2023). Deforestation and agricultural fires in South-West Pará, Brazil, under political changes from 2014 to 2020. Journal of Land Use Science. https://doi.org/10.1080/1747423X.2023.2195420 The raster maps have use the BU MEaSUREs Lambert Azimuthal Equal Area - SA - V01 project. See https://github.com/measures-glance/glance-grids for details. File Content MAP_BLCM_&lt;year&gt;.tif BLCM map for &lt;year&gt; MAP_YoD.tif year of deforestation raster AOI.gpkg Polygon of Area of Interest used in Jakimow et al. (2023) wkt.txt WKT string for BU MEaSUREs Lambert Azimuthal Equal Area - SA - V01 coordinate reference system BLCM.qgs QGIS Project file to visualize these map, generated with QGIS 3.30
DOI: 10.6084/m9.figshare.23939604.v1
title: Supplemental Datasets

description: <b>Supplemental Dataset S1 </b>(separate data file) List of significantly affected proteins in <i>Synechocystis </i>PCC 6803 by reduction/oxidation through DTT/DTNB<b>Supplemental Dataset S2 </b>(separate data file) Table of all detected peptides across LiP-SMap experiments with fold-change and significance statistics; <i>Synechocystis </i>PCC 6803<b>Supplemental Dataset S3 </b>(separate data file)<b> </b>Table of all detected peptides across LiP-SMap experiments with fold-change and significance statistics; <i>Synechoccocus </i>PCC 7942<b>Supplemental Dataset S4 </b>(separate data file)<b> </b>Table of all detected peptides across LiP-SMap experiments with fold-change and significance statistics; <i>Cupriavidus necator</i><b>Supplemental Dataset S5 </b>(separate data file)<b> </b>Table of all detected peptides across LiP-SMap experiments with fold-change and significance statistics; <i>Hydrogenophaga pseudoflava</i><b>Supplemental Dataset S6: </b>(separate data file) List of all proteins affected by at least one metabolite and their KEGG orthology groups (KOGs)<b>Supplemental Dataset S7: </b>(separate data file) List of all significant peptides in LiP-SMap experiment with magnesium and ATP <b>Supplemental Dataset S8: </b>(separate data file) Phylogenetic trees of Calvin cycle enzymes labeled with detected protein-metabolite interactions<b>Supplemental Dataset S9: </b>(separate data file) Raw data for kinetic-, melting temperature- and light scattering assays.
DOI: 10.6084/m9.figshare.23939604
title: Supplemental Datasets

description: <b>Supplemental Dataset S1 </b>(separate data file) List of significantly affected proteins in <i>Synechocystis </i>PCC 6803 by reduction/oxidation through DTT/DTNB<b>Supplemental Dataset S2 </b>(separate data file) Table of all detected peptides across LiP-SMap experiments with fold-change and significance statistics; <i>Synechocystis </i>PCC 6803<b>Supplemental Dataset S3 </b>(separate data file)<b> </b>Table of all detected peptides across LiP-SMap experiments with fold-change and significance statistics; <i>Synechoccocus </i>PCC 7942<b>Supplemental Dataset S4 </b>(separate data file)<b> </b>Table of all detected peptides across LiP-SMap experiments with fold-change and significance statistics; <i>Cupriavidus necator</i><b>Supplemental Dataset S5 </b>(separate data file)<b> </b>Table of all detected peptides across LiP-SMap experiments with fold-change and significance statistics; <i>Hydrogenophaga pseudoflava</i><b>Supplemental Dataset S6: </b>(separate data file) List of all proteins affected by at least one metabolite and their KEGG orthology groups (KOGs)<b>Supplemental Dataset S7: </b>(separate data file) List of all significant peptides in LiP-SMap experiment with magnesium and ATP <b>Supplemental Dataset S8: </b>(separate data file) Phylogenetic trees of Calvin cycle enzymes labeled with detected protein-metabolite interactions<b>Supplemental Dataset S9: </b>(separate data file) Raw data for kinetic-, melting temperature- and light scattering assays.
DOI: 10.6084/m9.figshare.23939625
title: <b>Protected areas may fail to protect fishes in the future: A case study of </b><i><b>Nemachilichthys ruppelli</b></i><b> from the Western Ghats, India</b>

description: This dataset encompasses a comprehensive analysis of variables utilized in the species distribution modeling of N. ruppelli fish, with a particular focus on the presence of multicollinearity among them. It offers a detailed insight into various bioclimatic factors and geophysical variables, including DEM, flow accumulation, hillslope valley bottom, slope, stream order, upland valley bottom, and low-land sedimentation. The dataset is enriched with informative figures that portray the projected habitat suitability of N. ruppelli under different climatic scenarios. These figures showcase the anticipated habitat suitability for the species in the year 2050 under the most adverse climatic conditions, as well as in the year 2070 under both the best and worst climatic scenarios in the KRS area. Additionally, the dataset provides a comprehensive overview of protected areas alongside mean habitat suitability scenarios for Nemachilichthys ruppelli. To further augment its usability, the dataset furnishes district-wise mean habitat suitability data for N. ruppelli in easily accessible tabular formats.
DOI: 10.6084/m9.figshare.23939625.v1
title: <b>Protected areas may fail to protect fishes in the future: A case study of </b><i><b>Nemachilichthys ruppelli</b></i><b> from the Western Ghats, India</b>

description: This dataset encompasses a comprehensive analysis of variables utilized in the species distribution modeling of N. ruppelli fish, with a particular focus on the presence of multicollinearity among them. It offers a detailed insight into various bioclimatic factors and geophysical variables, including DEM, flow accumulation, hillslope valley bottom, slope, stream order, upland valley bottom, and low-land sedimentation. The dataset is enriched with informative figures that portray the projected habitat suitability of N. ruppelli under different climatic scenarios. These figures showcase the anticipated habitat suitability for the species in the year 2050 under the most adverse climatic conditions, as well as in the year 2070 under both the best and worst climatic scenarios in the KRS area. Additionally, the dataset provides a comprehensive overview of protected areas alongside mean habitat suitability scenarios for Nemachilichthys ruppelli. To further augment its usability, the dataset furnishes district-wise mean habitat suitability data for N. ruppelli in easily accessible tabular formats.
DOI: 10.6084/m9.figshare.23939544
title: MYE.rds

description: Myeloid single-cell atlas of cigarette smoking lung. Seurat obj.
DOI: 10.6084/m9.figshare.23939541
title: LYM.rds

description: Lymphoid single-cell atlas of cigarette smoking lung. Seurat obj.
DOI: 10.6084/m9.figshare.23939538
title: STR.rds

description: Stromal single-cell atlas of cigarette smoking lung. Seurat obj.
DOI: 10.6084/m9.figshare.23939532
title: EPI.rds

description: Epithelial single-cell atlas of cigarette smoking lung. Seurat obj.
DOI: 10.6084/m9.figshare.23939526
title: END.rds

description: Endothelial single-cell atlas of cigarette smoking lung. Seurat obj.
DOI: 10.6084/m9.figshare.24878850
title: session 81901982

description: Dataset of trained static and dynamic weights from session 819701982 of the Allen Institute Neuropixels database.Files accompany the release of the DyNetCP unsupervised model to discover dynamic functional connectivity in cortical networks from massive spiking data
DOI: 10.6084/m9.figshare.24878850.v1
title: session 81901982

description: Dataset of trained static and dynamic weights from session 819701982 of the Allen Institute Neuropixels database.Files accompany the release of the DyNetCP unsupervised model to discover dynamic functional connectivity in cortical networks from massive spiking data
DOI: 10.6084/m9.figshare.24849654.v2
title: Marketing Mix Modelling (MMM) training and evaluation dataset for a wide cross-section of eCommerce brands (https://www.conjura.com)

description: This data was made public by Conjura (https://www.conjura.com) to support a Marketing Mix Modelling (MMM) meta analysis study. The data can be used to the model the cost of acquiring customers (CAC) and return on advertising spend (ROAS) from a large cross-section of eCommerce brands in order to find robust Bayesian MMM models.
DOI: 10.25505/fiz.icsd.cc2dnm90
title: CSD 2224352: Experimental Crystal Structure Determination

description: Related Article: Tobias Wolflehner, Berthold Stöger, Matthias Weil|2023|Z.Naturforsch.,B:Chem.Sci.|78|95|doi:10.1515/znb-2022-0304
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dqr63
title: CSD 2226395: Experimental Crystal Structure Determination

description: Related Article: Mei Hu, Nuerbiye Tuerhong, Zhaohui Chen, Qun Jing, Ming-Hsien Lee|2023|Inorg.Chem.|62|3609|doi:10.1021/acs.inorgchem.2c04376
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.