cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23645/epacomptox.20394501.v2
title: ToxValDB v9.2

description: This resource is a compilation of information sourced from many sites, databases and sources, including U.S. Federal and state sources and international bodies, which can save the user time by providing information in one location. The data are not reviewed by USEPA – the user must apply judgment in use of the information. You should consult the original scientific paper or data source if possible to ensure an understanding of the context of the data contained in the Dashboard. <br> Science Inventory, CCTE products: https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber=&ombCat=Any&dateBeginPublishedPresented=07/01/2017&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&DEID=&personName=&personID=&role=Any&journalName=&journalID=&publisherName=&publisherID=&sortBy=pubDate&count=25
DOI: 10.5281/zenodo.7044699
title: Appendices of the work "On the perceived relevance of critical internal quality attributes when evolving software features"

description: <strong>Context:</strong> Several refactorings performed while evolving software features aim to improve internal quality attributes like cohesion and complexity. Studies shows that non-assisted refactorings might worsen, not improve, internal attributes. Current knowledge is scarce on how developers perceive the relevance of critical internal attributes while evolving features. Internal attributes are critical if their measurement assumes anomalous values. <strong>Objective:</strong> This qualitative study aims at revealing the developer's perception on the relevance of critical internal attributes when evolving features. We target six class-level critical attributes: low cohesion, high complexity, high coupling, large hierarchy depth, large hierarchy breadth, and large size. <strong>Method:</strong> We performed two industry case studies based on online focus group sessions. We asked developers to discuss how much (and why) critical attributes are relevant for adding or enhancing features. We assessed the relevance of critical attributes individually and relatively, reasons behind the relevance of each critical attribute, and interrelations of critical attributes. <strong>Results:</strong> Low cohesion and high complexity were perceived as very relevant because they often make evolving features hard while tracking failures and adding features. The other critical attributes were perceived as less relevant when reusing code or adopting design patterns, for instance. Examples of interrelations include large size leads to low cohesion and high complexity leads to high coupling. <strong>Conclusions:</strong> Our findings could be combined with previous results on how refactorings affect quality attributes to assist developers in applying refactorings that may have a practically relevant impact on critical attributes.
description: CNPq (grant 312827/2020-2) and FAPERJ (grant 200.773/2019) partially funded this work.
DOI: 10.5281/zenodo.7044698
title: Appendices of the work "On the perceived relevance of critical internal quality attributes when evolving software features"

description: <strong>Context:</strong> Several refactorings performed while evolving software features aim to improve internal quality attributes like cohesion and complexity. Studies shows that non-assisted refactorings might worsen, not improve, internal attributes. Current knowledge is scarce on how developers perceive the relevance of critical internal attributes while evolving features. Internal attributes are critical if their measurement assumes anomalous values. <strong>Objective:</strong> This qualitative study aims at revealing the developer's perception on the relevance of critical internal attributes when evolving features. We target six class-level critical attributes: low cohesion, high complexity, high coupling, large hierarchy depth, large hierarchy breadth, and large size. <strong>Method:</strong> We performed two industry case studies based on online focus group sessions. We asked developers to discuss how much (and why) critical attributes are relevant for adding or enhancing features. We assessed the relevance of critical attributes individually and relatively, reasons behind the relevance of each critical attribute, and interrelations of critical attributes. <strong>Results:</strong> Low cohesion and high complexity were perceived as very relevant because they often make evolving features hard while tracking failures and adding features. The other critical attributes were perceived as less relevant when reusing code or adopting design patterns, for instance. Examples of interrelations include large size leads to low cohesion and high complexity leads to high coupling. <strong>Conclusions:</strong> Our findings could be combined with previous results on how refactorings affect quality attributes to assist developers in applying refactorings that may have a practically relevant impact on critical attributes.
description: CNPq (grant 312827/2020-2) and FAPERJ (grant 200.773/2019) partially funded this work.
DOI: 10.6084/m9.figshare.20981053
title: Effectiveness, survival and safety of guselkumab attending to basal characteristics in moderate-to-severe psoriatic patients: a cohort study

description: This material shows the effects of the treatment in different weeks of use, as well as the study group.
DOI: 10.6084/m9.figshare.20363685.v1
title: Data set 2: Comparison of extrapolated mass excess values from AMC12, AME16, and mass model predictions.

description: Data set 2: Comparison of extrapolated mass excess values from AMC12, AME16, and mass model predictions.
DOI: 10.6084/m9.figshare.20363685
title: Data set 2: Comparison of extrapolated mass excess values from AMC12, AME16, and mass model predictions.

description: Data set 2: Comparison of extrapolated mass excess values from AMC12, AME16, and mass model predictions.
DOI: 10.6084/m9.figshare.20363688
title: Data set 3: Comparison of extrapolated S2n values from AMC12 with the known S2n values.

description: Data set 3: Comparison of extrapolated S2n values from AMC12 with the known S2n values.
DOI: 10.6084/m9.figshare.20363688.v1
title: Data set 3: Comparison of extrapolated S2n values from AMC12 with the known S2n values.

description: Data set 3: Comparison of extrapolated S2n values from AMC12 with the known S2n values.
DOI: 10.6084/m9.figshare.20363697
title: Data set 5: Comparison of the present extrapolated mass excess values with the corresponding values from two other extrapolation methods and the most recent theoretical mass model values.

description: Data set 5: Comparison of the present extrapolated mass excess values with the corresponding values from two other extrapolation methods and the most recent theoretical mass model values.
DOI: 10.6084/m9.figshare.20363697.v1
title: Data set 5: Comparison of the present extrapolated mass excess values with the corresponding values from two other extrapolation methods and the most recent theoretical mass model values.

description: Data set 5: Comparison of the present extrapolated mass excess values with the corresponding values from two other extrapolation methods and the most recent theoretical mass model values.
DOI: 10.6084/m9.figshare.20364711
title: Example extrapolation: The weighted slope method of computing the extrapolated S2n values

description: Example extrapolation: The weighted slope method of computing the extrapolated S2n values
DOI: 10.6084/m9.figshare.20364711.v1
title: Example extrapolation: The weighted slope method of computing the extrapolated S2n values

description: Example extrapolation: The weighted slope method of computing the extrapolated S2n values
DOI: 10.6084/m9.figshare.20363694
title: Data set 4: Comparison of the present extrapolated mass excess values with new measurements and AME12 extrapolations.

description: Data set 4: Comparison of the present extrapolated mass excess values with new measurements and AME12 extrapolations.
DOI: 10.5281/zenodo.5796488
title: XCT data of metallic feedstock powder with pore size analysis

description: <strong>X-Ray computed tomography (XCT) scan of 11 individual metallic powder particles, made of (Mn,Fe)<sub>2</sub>(P,Si) alloy</strong> The data set consists of 4 single XCT scans which have been stitched together [3] after reconstruction.<br> The powder material is an (Mn,Fe)<sub>2</sub>(P,Si) alloy with an average density of 6.4 g/cm³. The particle size range is about 100 - 150 µm with equivalent pore diameters up to 75 µm. The powder and the metallic alloy are described in detail in [1, 2]. <strong>Data acquisition</strong> The data was acquired using a Zeiss Xradia 620 Versa X-ray microscope which provides the opportunity of optical magnification. <strong>Tomographic imaging parameters</strong> XCT system Zeiss Xradia 620 Versa Voltage 80 kV Power 10 W Source filtering "<em>LE2</em>" (system specific) - Source-object distance 10 mm Object-detector distance 10 mm Geom. magnification 2 - Optical magnification 20 - Native pixel size 13.5 µm Binning 2x2 px Voxel size 0.68 µm No. of projections per scan 801 1 No. of scans 4 - Exposure time per projection 5 s <strong>Projection data</strong> (801 single TIFF-files each): proj_00 proj_01 proj_02 proj_03 <strong>Reconstructed data</strong>: raw-volume (MnFePSi-Powder_80kV_10W_LE2_20x_5s_801_0p68_BHC=2_Stitch_U16_966x1020x2916.raw + header.txt) analyzed data as Volume Graphics Studio MAX 3.4.5 project <strong>Stitched 2D data</strong> (images stitched with ImageJ-Plugin described in [3]<strong>:</strong> Stitched_0deg_Projections.tif Pores+Particles_Analysis.tif [1] G.-R. Jaenisch, U. Ewert, A. Waske, and A. Funk, “Radiographic Visibility Limit of Pores in Metal Powder for Additive Manufacturing,” Metals, vol. 10, no. 12, p. 1634, Dec. 2020. https://doi.org/10.3390/met10121634 [2] X. Miao et al., “Printing (Mn,Fe)2(P,Si) magnetocaloric alloys for magnetic refrigeration applications,” J. Mater. Sci., vol. 55, no. 15, pp. 6660–6668, May 2020. https://doi.org/10.1007/s10853-020-04488-8 [3] S. Preibisch, S. Saalfeld, and P. Tomancak, “Globally optimal stitching of tiled 3D microscopic image acquisitions,” Bioinformatics, vol. 25, no. 11, pp. 1463–1465, Jun. 2009.
description: {"references": ["G.-R. Jaenisch, U. Ewert, A. Waske, and A. Funk, \"Radiographic Visibility Limit of Pores in Metal Powder for Additive Manufacturing,\" Metals (Basel)., vol. 10, no. 12, p. 1634, Dec. 2020.", "X. Miao et al., \"Printing (Mn,Fe)2(P,Si) magnetocaloric alloys for magnetic refrigeration applications,\" J. Mater. Sci., vol. 55, no. 15, pp. 6660\u20136668, May 2020", "Stephan Preibisch, Stephan Saalfeld, Pavel Tomancak, Globally optimal stitching of tiled 3D microscopic image acquisitions, Bioinformatics, Volume 25, Issue 11, 1 June 2009, Pages 1463\u20131465, https://doi.org/10.1093/bioinformatics/btp184"]}
DOI: 10.5281/zenodo.5796487
title: XCT data of metallic feedstock powder with pore size analysis

description: <strong>X-Ray computed tomography (XCT) scan of 11 individual metallic powder particles, made of (Mn,Fe)<sub>2</sub>(P,Si) alloy</strong> The data set consists of 4 single XCT scans which have been stitched together [3] after reconstruction.<br> The powder material is an (Mn,Fe)<sub>2</sub>(P,Si) alloy with an average density of 6.4 g/cm³. The particle size range is about 100 - 150 µm with equivalent pore diameters up to 75 µm. The powder and the metallic alloy are described in detail in [1, 2]. <strong>Data acquisition</strong> The data was acquired using a Zeiss Xradia 620 Versa X-ray microscope which provides the opportunity of optical magnification. <strong>Tomographic imaging parameters</strong> XCT system Zeiss Xradia 620 Versa Voltage 80 kV Power 10 W Source filtering "<em>LE2</em>" (system specific) - Source-object distance 10 mm Object-detector distance 10 mm Geom. magnification 2 - Optical magnification 20 - Native pixel size 13.5 µm Binning 2x2 px Voxel size 0.68 µm No. of projections per scan 801 1 No. of scans 4 - Exposure time per projection 5 s <strong>Projection data</strong> (801 single TIFF-files each): proj_00 proj_01 proj_02 proj_03 <strong>Reconstructed data</strong>: raw-volume (MnFePSi-Powder_80kV_10W_LE2_20x_5s_801_0p68_BHC=2_Stitch_U16_966x1020x2916.raw + header.txt) analyzed data as Volume Graphics Studio MAX 3.4.5 project <strong>Stitched 2D data</strong> (images stitched with ImageJ-Plugin described in [3]<strong>:</strong> Stitched_0deg_Projections.tif Pores+Particles_Analysis.tif [1] G.-R. Jaenisch, U. Ewert, A. Waske, and A. Funk, “Radiographic Visibility Limit of Pores in Metal Powder for Additive Manufacturing,” Metals, vol. 10, no. 12, p. 1634, Dec. 2020. https://doi.org/10.3390/met10121634 [2] X. Miao et al., “Printing (Mn,Fe)2(P,Si) magnetocaloric alloys for magnetic refrigeration applications,” J. Mater. Sci., vol. 55, no. 15, pp. 6660–6668, May 2020. https://doi.org/10.1007/s10853-020-04488-8 [3] S. Preibisch, S. Saalfeld, and P. Tomancak, “Globally optimal stitching of tiled 3D microscopic image acquisitions,” Bioinformatics, vol. 25, no. 11, pp. 1463–1465, Jun. 2009.
description: {"references": ["G.-R. Jaenisch, U. Ewert, A. Waske, and A. Funk, \"Radiographic Visibility Limit of Pores in Metal Powder for Additive Manufacturing,\" Metals (Basel)., vol. 10, no. 12, p. 1634, Dec. 2020.", "X. Miao et al., \"Printing (Mn,Fe)2(P,Si) magnetocaloric alloys for magnetic refrigeration applications,\" J. Mater. Sci., vol. 55, no. 15, pp. 6660\u20136668, May 2020", "Stephan Preibisch, Stephan Saalfeld, Pavel Tomancak, Globally optimal stitching of tiled 3D microscopic image acquisitions, Bioinformatics, Volume 25, Issue 11, 1 June 2009, Pages 1463\u20131465, https://doi.org/10.1093/bioinformatics/btp184"]}
DOI: 10.5519/qd.wj6ilfch
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2658 records)
DOI: 10.14469/hpc/11108
title: Elucidating the factors limiting the photovoltaic performance of mixed Sb-Bi double perovskite absorbers

description: Authors: Z. Li, Y.-T. Huang, L. Mohan, S. J. Zelewski, R. H. Friend, J. Briscoe, R. L. Z. Hoye* Sb-alloying has been proposed as a strategy to improve the visible light absorption of Cs2AgBiBr6 elpasolites by reducing the bandgap, but this approach has not so far led to improvements in photovoltaic performance. Herein, we show that this is due to the introduction of a sub-bandgap loss channel, which may arise from an increase in film strain.
DOI: 10.6084/m9.figshare.20766232
title: Chapter 15: Building geological timescales and assigning chronometric time to rocks

description: This is an excel file and the spreadsheet workings for performing the Worked example 15.2, in which is constructed an age model for Devonian conodont zones. This file constructs the initial reference section composite using a reference-section type approach, and in addition all the workings towards the final age assignments to the conodont zone boundaries, based on the BChron-based age modelling approach outlined in Chapter 15.
DOI: 10.6084/m9.figshare.20766232.v1
title: Chapter 15: Building geological timescales and assigning chronometric time to rocks

description: This is an excel file and the spreadsheet workings for performing the Worked example 15.2, in which is constructed an age model for Devonian conodont zones. This file constructs the initial reference section composite using a reference-section type approach, and in addition all the workings towards the final age assignments to the conodont zone boundaries, based on the BChron-based age modelling approach outlined in Chapter 15.
DOI: 10.5281/zenodo.7054504
title: Dataset of topographic points measured at La Palma new beaches

description: Present dataset includes all the topographic points measured al 14 beaches related to the new lava-deltas generated after the Cumbre Vieja eruption of 2021 in La Palma Island. This dataset is used in the paper "<strong>Morphosedimentary characteristics and formation mechanisms of new beaches generated after the Cumbre Vieja eruption of 2021 (La Palma, Spain)</strong>", submitted to Marine Geology
DOI: 10.5281/zenodo.7054503
title: Dataset of topographic points measured at La Palma new beaches

description: Present dataset includes all the topographic points measured al 14 beaches related to the new lava-deltas generated after the Cumbre Vieja eruption of 2021 in La Palma Island. This dataset is used in the paper "<strong>Morphosedimentary characteristics and formation mechanisms of new beaches generated after the Cumbre Vieja eruption of 2021 (La Palma, Spain)</strong>", submitted to Marine Geology
DOI: 10.34740/kaggle/dsv/4168706
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.20732380
title: Supplemental tables for "Gene co-expression networks reveal candidate discriminant biomarkers of bovine subclinical mastitis due to Staphylococcus aureus"

description: <strong>Supplemental Table S1</strong>: Sample information <strong>Supplemental Table S2</strong>: Primers of select genes for RT-qPCR analysis <strong>Supplemental Table S3</strong>: Sequencing and reads statistics <strong>Supplemental Table S4</strong>: Differentially expressed genes identified between <em>S. aureus</em>-positive and control groups. <strong>Supplemental Table S5</strong>: Functional enrichment for differentially expressed genes. <strong>Supplemental Table S6</strong>: Genes subjected to weighted gene co-expression network analysis. <strong>Supplemental Table S7</strong>: Functional enrichment for genes of each module related to <em>S. aureus</em> infection. <strong>Supplemental Table S8</strong>: Immune-related genes identified from turquoise module and enrichment in multiple GO terms and/or KEGG pathways with immune or disease functions.
DOI: 10.5281/zenodo.7047729
title: Zircon dates long-lived plume dynamics in oceanic islands

description: <strong>Here we present a new data set from ten islands of the hot-spot related Galapagos Archipelago. That includes zircon U-Pb geochronology and δ18O - εHf(t) isotope geochemistry and whole rock geochemistry. The methodology includes different analytical technics like SHRIMP II, LA-MC-ICPMS, ICP, and XRD.</strong> <strong>This repository contains the following files:</strong> <strong>Table S1. </strong>LA-MC-ICPMS Lu-Hf isotope data of Galápagos zircons measured at Hong Kong University. <strong>Table S2. </strong>LA-MC-ICPMS Lu-Hf isotope data of Galápagos zircons measured at Frankfurt University. <strong>Table S3.</strong> Major and trace element concentrations for Galápagos samples. <strong>Table S4. </strong>Oxygen isotope ratios for Galápagos zircons. <strong>Table S5. </strong>Thermo-mechanical properties of the rock phase. <strong>Table S6.</strong> List of the numerical experiments. <strong>Table S7:</strong> List of the experiments used to calibrate the permeable boundary condition. <strong>Table S8.</strong> (A) Hf Isotope Ratios in Galapagos Lavas (After (Blichert-Toft & White, 2001). (B) Oxygen isotopic ratios of plagioclase separates from Galapagos lavas and xenoliths (Geist et al., 1998). (C) Oxygen isotope compositions of olivine grains from subaerial lavas (Peterson et al., 2019). (D) Hf Isotope Compositions (±2s) of Submarine Ridges in the Panama Basin and of CLIP (Caribbean Large Igneous Province) rocks (Geldmacher et al., 2003). Movie S1
DOI: 10.5281/zenodo.7047728
title: Zircon dates long-lived plume dynamics in oceanic islands

description: <strong>Here we present a new data set from ten islands of the hot-spot related Galapagos Archipelago. That includes zircon U-Pb geochronology and δ18O - εHf(t) isotope geochemistry and whole rock geochemistry. The methodology includes different analytical technics like SHRIMP II, LA-MC-ICPMS, ICP, and XRD.</strong> <strong>This repository contains the following files:</strong> <strong>Table S1. </strong>LA-MC-ICPMS Lu-Hf isotope data of Galápagos zircons measured at Hong Kong University. <strong>Table S2. </strong>LA-MC-ICPMS Lu-Hf isotope data of Galápagos zircons measured at Frankfurt University. <strong>Table S3.</strong> Major and trace element concentrations for Galápagos samples. <strong>Table S4. </strong>Oxygen isotope ratios for Galápagos zircons. <strong>Table S5. </strong>Thermo-mechanical properties of the rock phase. <strong>Table S6.</strong> List of the numerical experiments. <strong>Table S7:</strong> List of the experiments used to calibrate the permeable boundary condition. <strong>Table S8.</strong> (A) Hf Isotope Ratios in Galapagos Lavas (After (Blichert-Toft & White, 2001). (B) Oxygen isotopic ratios of plagioclase separates from Galapagos lavas and xenoliths (Geist et al., 1998). (C) Oxygen isotope compositions of olivine grains from subaerial lavas (Peterson et al., 2019). (D) Hf Isotope Compositions (±2s) of Submarine Ridges in the Panama Basin and of CLIP (Caribbean Large Igneous Province) rocks (Geldmacher et al., 2003). Movie S1
DOI: 10.5281/zenodo.6383407
title: Refinements for Bragg coherent X-ray diffraction imaging: Electron backscatter diffraction alignment and strain field computation

description: Here we present the final crystal reconstructions and analysis scripts for the paper titled "Refinement for Bragg coherent X-ray diffraction imaging: Electron backscatter diffraction alignment and strain field computation" published in Journal of Applied Crystallography, 55, 2022. Please see the README file for more information.
DOI: 10.15139/s3/3ts1zo
title: Assessment of the Zimbabwe Assistance Program in Malaria (ZAPIM)

description: This data was aggregated for the purposes of evaluating ZAPIM in Zimbabwe. Data for Impact (D4I) sought to document the current status of malaria management practices and progress that the project has made since its inception with an assessment to address these questions: • What are the trends in malaria intervention coverage in ZAPIM and non-ZAPIM districts? • What are the trends in malaria morbidity and mortality in ZAPIM and non-ZAPIM districts? • What is the capacity of the NMCP and the districts to manage and implement various malaria interventions in ZAPIM and non-ZAPIM districts? • What are the facilitators of and barriers to planned achievements by the ZAPIM project? The assessment used a mixed-methods approach comprising a document review, secondary data analysis, key informant (KI) interviews, health facility assessments, and an organizational capacity assessment. This data was aggregated to address the first two points.