cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10450541
title: A data set for a review of Academic Writing Identity in Higher Education

description: After reviewing the 95 articles in the systematic literature mapping, a deeper analysis was conducted for each of the 81 articles included in this review study. The collected and classified information was then interpreted. The database built is available in this file. This section shows the findings and validates the results by answering each research question determined in the first stage of this study.
DOI: 10.5281/zenodo.10450542
title: A data set for a review of Academic Writing Identity in Higher Education

description: After reviewing the 95 articles in the systematic literature mapping, a deeper analysis was conducted for each of the 81 articles included in this review study. The collected and classified information was then interpreted. The database built is available in this file. This section shows the findings and validates the results by answering each research question determined in the first stage of this study.
DOI: 10.25625/turzgg/4pwznz
title: Cellneibr.cpp

description: :unav
DOI: 10.25625/turzgg/froddz
title: WParameters.cpp

description: :unav
DOI: 10.25625/turzgg/gwugym
title: corr-0.95-L=100pi.txt

description: :unav
DOI: 10.25625/turzgg/ghaepg
title: main.cpp

description: :unav
DOI: 10.25625/turzgg/hfo92f
title: 0.01.tar

description: :unav
DOI: 10.25625/turzgg/tuzigx
title: corr-phi-total-0.95.txt

description: :unav
DOI: 10.25625/turzgg/poiqe8
title: corr.npy

description: :unav
DOI: 10.25625/turzgg/2uqchw
title: VnListCheck.cpp

description: :unav
DOI: 10.25625/turzgg/bujcm4
title: corr-0.95.txt

description: :unav
DOI: 10.25625/turzgg/lkyynl
title: Parameter.h

description: :unav
DOI: 10.25625/turzgg/nqch70
title: Force.cpp

description: :unav
DOI: 10.25625/turzgg/cacrv0
title: corr.npy

description: :unav
DOI: 10.25625/turzgg/kk8om4
title: Thetaup.cpp

description: :unav
DOI: 10.25625/turzgg/rvcgck
title: corr.npy

description: :unav
DOI: 10.25625/turzgg/kdhjeq
title: Posup.cpp

description: :unav
DOI: 10.25625/turzgg/bglucs
title: Parameter.cpp

description: :unav
DOI: 10.25625/turzgg/fejtfh
title: corr.txt

description: :unav
DOI: 10.25625/turzgg/w0ia83
title: corr-ave.cpp

description: :unav
DOI: 10.25625/turzgg/hq1ajn
title: Corr-Length.py

description: :unav
DOI: 10.25625/turzgg/nz23se
title: makefile

description: :unav
DOI: 10.25625/turzgg/eyafun
title: SystemUpdate.cpp

description: :unav
DOI: 10.25625/turzgg/rqzq5x
title: corr-0.95-L=30pi.txt

description: :unav
DOI: 10.25625/turzgg/vveueq
title: Function.h

description: :unav
DOI: 10.25625/turzgg/jp9jel
title: corr-0.95-L=60pi.txt

description: :unav
DOI: 10.25625/turzgg/zpv56s
title: VnList.cpp

description: :unav
DOI: 10.25625/turzgg/nxuhxm
title: listcell.cpp

description: :unav
DOI: 10.25625/turzgg/pc3iwk
title: Initialize.cpp

description: :unav
DOI: 10.25625/turzgg/w8gv9j
title: Velup.cpp

description: :unav
DOI: 10.25625/turzgg/p5szlz
title: Trajectory.cpp

description: :unav
DOI: 10.5281/zenodo.10450566
title: Supplementary files for "The history of short-tailed whip scorpions: changes in body size and flagellum shape in Schizomida"

description: Supplementary files for the manuscript "The history of short-tailed whip scorpions: changes in body size and flagellum shape in Schizomida" -

Jelena Belojević, Meghana S. Mortier, Morgan M. Oberweiser, Florian Braig, Joachim T. Haug, and Carolin Haug.

Flagellum_shapes.zip contains all recosntructed flagellum shapes. schizo_Rscript.R contains the custom code used to run the analysis.
DOI: 10.5281/zenodo.10159251
title: Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch"

description: Data underlying the results presented in the article M. Robens, R. Kleijnen, M. Schiek, and S. van Waasen, "NoC Simulation steered by NEST: McAERsim and a Noxim Patch".

The zip-file comprises two subfolders: "NoC-Sim-Input" and "NoC-Sim-Output". The latter contains the simulation output that has been evaluated to create the plots presented in the publication, while the former contains simulation output generated by the neuroscientific simulator NEST (de Schepper et al., 2022) that has been used to stimulate the network-on-chip (NoC) simulations. There have been multiple simulation runs with different parameters that are encoded into the folder names. With regard to the simulation runs in NEST, the cortical microcircuit has been scaled to 10 percent (Scale_0_10) and 33 percent (Scale_0_33). With regard to the network-on-chip simulations, there have been runs with one processing element per router (1PE) and four processing elements per router (4PE). Also, different casting schemes have been examined: unicast (UC), destination-address driven local multicast (LMC), source-address driven local multicast (LMC_SRC), and multicast (MC). Further information on the virtual hardware setup as well as the input data used for the network-on-chip simulations can be found in the publication. Details on how to modify the respective configuration files are contained in the publication and its supplementary material.

For simulations at default scale (cortical microcircuit scaled to 10 percent) with one processing element per router and for all casting types but multicast lines 9-14 mechanically have been stripped from the simulations' output redirections by the command line tool sed to avoid the unnecessary exposition of potentially personally identifiable data. (This applies to the files 'mesh_6x6_256_npn_*.txt' as well as 'torus_6x6_256_npn_*.txt'.)

Also note that the simulators have been renamed for the publication of source code. The patched version of Noxim has been called NENoCSi, while the simulator initially termed Ximno has been called McAERsim.

If you use this dataset, please cite it in your publications.
DOI: 10.5281/zenodo.10159252
title: Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch"

description: Data underlying the results presented in the article M. Robens, R. Kleijnen, M. Schiek, and S. van Waasen, "NoC Simulation steered by NEST: McAERsim and a Noxim Patch".

The zip-file comprises two subfolders: "NoC-Sim-Input" and "NoC-Sim-Output". The latter contains the simulation output that has been evaluated to create the plots presented in the publication, while the former contains simulation output generated by the neuroscientific simulator NEST (de Schepper et al., 2022) that has been used to stimulate the network-on-chip (NoC) simulations. There have been multiple simulation runs with different parameters that are encoded into the folder names. With regard to the simulation runs in NEST, the cortical microcircuit has been scaled to 10 percent (Scale_0_10) and 33 percent (Scale_0_33). With regard to the network-on-chip simulations, there have been runs with one processing element per router (1PE) and four processing elements per router (4PE). Also, different casting schemes have been examined: unicast (UC), destination-address driven local multicast (LMC), source-address driven local multicast (LMC_SRC), and multicast (MC). Further information on the virtual hardware setup as well as the input data used for the network-on-chip simulations can be found in the publication. Details on how to modify the respective configuration files are contained in the publication and its supplementary material.

For simulations at default scale (cortical microcircuit scaled to 10 percent) with one processing element per router and for all casting types but multicast lines 9-14 mechanically have been stripped from the simulations' output redirections by the command line tool sed to avoid the unnecessary exposition of potentially personally identifiable data. (This applies to the files 'mesh_6x6_256_npn_*.txt' as well as 'torus_6x6_256_npn_*.txt'.)

Also note that the simulators have been renamed for the publication of source code. The patched version of Noxim has been called NENoCSi, while the simulator initially termed Ximno has been called McAERsim.

If you use this dataset, please cite it in your publications.
DOI: 10.5517/ccdc.csd.cc2hz892
title: CCDC 2322994: Experimental Crystal Structure Determination

description: Related Article: Suma Dilipkumar|2024|CSD Communication|||
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.cc2hz8b3
title: CCDC 2322995: Experimental Crystal Structure Determination

description: Related Article: Suma Dilipkumar|2024|CSD Communication|||
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.cc2hz8c4
title: CCDC 2322996: Experimental Crystal Structure Determination

description: Related Article: Suma Dilipkumar|2024|CSD Communication|||
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.cc2hz8d5
title: CCDC 2322997: Experimental Crystal Structure Determination

description: Related Article: Suma Dilipkumar|2024|CSD Communication|||
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.cc2hz8f6
title: CCDC 2322998: Experimental Crystal Structure Determination

description: Related Article: Suma Dilipkumar|2024|CSD Communication|||
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.cc2hz8h8
title: CCDC 2323000: Experimental Crystal Structure Determination

description: Related Article: Suma Dilipkumar|2024|CSD Communication|||
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.cc2hz8j9
title: CCDC 2323001: Experimental Crystal Structure Determination

description: Related Article: Suma Dilipkumar|2024|CSD Communication|||
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.cc2hz8kb
title: CCDC 2323002: Experimental Crystal Structure Determination

description: Related Article: Suma Dilipkumar|2024|CSD Communication|||
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.cc2hz8lc
title: CCDC 2323003: Experimental Crystal Structure Determination

description: Related Article: Suma Dilipkumar|2024|CSD Communication|||
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.cc2hz8md
title: CCDC 2323004: Experimental Crystal Structure Determination

description: Related Article: Suma Dilipkumar|2024|CSD Communication|||
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.cc2hz8nf
title: CCDC 2323005: Experimental Crystal Structure Determination

description: Related Article: Suma Dilipkumar|2024|CSD Communication|||
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: 10.6084/m9.figshare.24925464
title: Annexure 1.docx

description: Identification of Fall Preventive Measures for Vertical Formwork Operations
DOI: 10.6084/m9.figshare.23508957
title: LSC KPI

description: Excel file with 3 sheets:
i) LSC KPI
ii) Key for Collins for LSC.KPI sheet
iii) Acronyms list used in i) and ii)
DOI: 10.6084/m9.figshare.23508957.v1
title: LSC KPI

description: Excel file with 3 sheets:
i) LSC KPI
ii) Key for Collins for LSC.KPI sheet
iii) Acronyms list used in i) and ii)
DOI: 10.6084/m9.figshare.24412723.v1
title: Untitled Item

description:  <strong>LSC_KPI2023_REVISED.xlsx</strong>
DOI: 10.6084/m9.figshare.24591918
title: Untitled Item

description:  <strong>LSC_KPI2023_REVISED_201123.xlsx</strong>
DOI: 10.6084/m9.figshare.24591918.v1
title: Untitled Item

description:  <strong>LSC_KPI2023_REVISED_201123.xlsx</strong>
DOI: 10.6084/m9.figshare.24591927
title: Untitled Item

description:  <strong>LSC_KPI2023_REVISED_201123.xlsx</strong>
DOI: 10.6084/m9.figshare.24412723
title: Untitled Item

description:  <strong>LSC_KPI2023_REVISED.xlsx</strong>
DOI: 10.6084/m9.figshare.24591927.v1
title: Untitled Item

description:  <strong>LSC_KPI2023_REVISED_201123.xlsx</strong>
DOI: 10.6084/m9.figshare.24711558
title: Untitled Item

description:  <strong>LSC_KPI2023_REVISED_201123.xlsx</strong>
DOI: 10.6084/m9.figshare.24711558.v1
title: Untitled Item

description:  <strong>LSC_KPI2023_REVISED_201123.xlsx</strong>
DOI: 10.6084/m9.figshare.24925506
title: Mykrobe panel paratyphi B version 20230627

description: This is paratyphi B panel data version 20230627, to be used by the command line tool mykrobe.
DOI: 10.6084/m9.figshare.24925506.v1
title: Mykrobe panel paratyphi B version 20230627

description: This is paratyphi B panel data version 20230627, to be used by the command line tool mykrobe.
DOI: 10.34740/kaggle/dsv/7323151
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5281/zenodo.10450655
title: RGB-Gray alignment from OAK-D images

description: Dataset of images used to align RGB and Gray images from an OAK-D sensor.
DOI: 10.5281/zenodo.10450654
title: RGB-Gray alignment from OAK-D images

description: Dataset of images used to align RGB and Gray images from an OAK-D sensor.
DOI: 10.6084/m9.figshare.21641724
title: Prehospital Comparison of the HEAR and HE-MACS Scores for 30-Day Adverse Cardiac Events

description: The History, Electrocardiogram (ECG), Age, and Risk factor (HEAR) and History and ECG-only Manchester Acute Coronary Syndromes (HE-MACS) risk scores can risk stratify chest pain patients without troponin measures. The objective of this study was to determine if either risk score could achieve the ≥99% negative predictive value (NPV) required to rule out major adverse cardiovascular events (MACE; a composite of all-cause death, myocardial infarction, or coronary revascularization) at 30 days or the ≥50% positive predictive value (PPV) indicative of a patient possibly needing interventional cardiology. We performed a pre-planned secondary analysis of the prospective multisite PARAHEART (<i>n</i> = 462, 12/2016-1/2018) and RESCUE (<i>n</i> = 767, 4/2018-1/2019) trials, which accrued adults ≥21 years old with acute non-traumatic chest pain transported by emergency medical services (EMS). Paramedics prospectively completed risk assessment forms. Very low risk was defined by a HEAR score of 0-1 or HE-MACS probability &lt;4%. The primary outcome was 30-day MACE, which was determined by adjudication (PARAHEART) or electronic record review (RESCUE). NPV and PPV with exact 95% confidence intervals (95%CI) for 30-day MACE were calculated for each risk score and compared using McNemar’s tests. Among the PARAHEART and RESCUE cohorts, 30-day MACE occurred in 18.8% (87/462) and 6.9% (53/767) of patients, respectively. In PARAHEART, 7.8% (36/462) were very low risk by HEAR score vs. 7.8% (36/462) by HE-MACS (<i>p</i> = 1.0). The HEAR score had a NPV of 97.2% (95%CI 91.9-100.0) vs. 91.7% (95%CI 82.6-100.0) for HE-MACS (<i>p</i> = 0.15). The HEAR and HE-MACS PPVs were similar [46.4% (95%CI 28.0-64.9) vs. 33.3% (95%CI 13.2-53.5) (<i>p</i> = 0.26)]. In RESCUE, the HEAR score identified 14.2% (109/767) as low risk compared to 8.3% (64/767) by HE-MACS (<i>p</i> &lt; 0.001). In this cohort, the HEAR and HE-MACS scores had similar NPVs [98.2% (95%CI 95.7-100.0) vs. 98.4% (95%CI 95.4-100.0) (<i>p</i> = 0.89)] and PPVs [16.2% (95%CI 6.2-32.0) vs. 22.6% (95%CI 12.3-36.2) (<i>p</i> = 0.41)]. In two prehospital chest pain cohorts, neither the HEAR score nor HE-MACS achieved sufficient NPV or PPV to rule out or rule in 30-day MACE.
DOI: 10.6084/m9.figshare.21641724.v1
title: Prehospital Comparison of the HEAR and HE-MACS Scores for 30-Day Adverse Cardiac Events

description: The History, Electrocardiogram (ECG), Age, and Risk factor (HEAR) and History and ECG-only Manchester Acute Coronary Syndromes (HE-MACS) risk scores can risk stratify chest pain patients without troponin measures. The objective of this study was to determine if either risk score could achieve the ≥99% negative predictive value (NPV) required to rule out major adverse cardiovascular events (MACE; a composite of all-cause death, myocardial infarction, or coronary revascularization) at 30 days or the ≥50% positive predictive value (PPV) indicative of a patient possibly needing interventional cardiology. We performed a pre-planned secondary analysis of the prospective multisite PARAHEART (<i>n</i> = 462, 12/2016-1/2018) and RESCUE (<i>n</i> = 767, 4/2018-1/2019) trials, which accrued adults ≥21 years old with acute non-traumatic chest pain transported by emergency medical services (EMS). Paramedics prospectively completed risk assessment forms. Very low risk was defined by a HEAR score of 0-1 or HE-MACS probability &lt;4%. The primary outcome was 30-day MACE, which was determined by adjudication (PARAHEART) or electronic record review (RESCUE). NPV and PPV with exact 95% confidence intervals (95%CI) for 30-day MACE were calculated for each risk score and compared using McNemar’s tests. Among the PARAHEART and RESCUE cohorts, 30-day MACE occurred in 18.8% (87/462) and 6.9% (53/767) of patients, respectively. In PARAHEART, 7.8% (36/462) were very low risk by HEAR score vs. 7.8% (36/462) by HE-MACS (<i>p</i> = 1.0). The HEAR score had a NPV of 97.2% (95%CI 91.9-100.0) vs. 91.7% (95%CI 82.6-100.0) for HE-MACS (<i>p</i> = 0.15). The HEAR and HE-MACS PPVs were similar [46.4% (95%CI 28.0-64.9) vs. 33.3% (95%CI 13.2-53.5) (<i>p</i> = 0.26)]. In RESCUE, the HEAR score identified 14.2% (109/767) as low risk compared to 8.3% (64/767) by HE-MACS (<i>p</i> &lt; 0.001). In this cohort, the HEAR and HE-MACS scores had similar NPVs [98.2% (95%CI 95.7-100.0) vs. 98.4% (95%CI 95.4-100.0) (<i>p</i> = 0.89)] and PPVs [16.2% (95%CI 6.2-32.0) vs. 22.6% (95%CI 12.3-36.2) (<i>p</i> = 0.41)]. In two prehospital chest pain cohorts, neither the HEAR score nor HE-MACS achieved sufficient NPV or PPV to rule out or rule in 30-day MACE.
DOI: 10.6084/m9.figshare.21964651
title: Wilderness First Responder Medical Clearance – A Scoping Review with Recommendations

description: Due to environmental extremes, as well as the nature of the work itself, wilderness first responders are at risk of incurring medical events in the line of duty. There currently do not exist standardized and scientifically supported methods to screen for a wilderness first responder’s risk of incurring a medical event. We performed multiple scoping reviews using PubMed and CINAHL. The reviews covered six medical screening criteria based on previous recommendations from the National Fire Protection Association (NFPA) and the US Forest Service, and we grouped our reviews into two categories: articles that addressed objective screening criteria, and articles that addressed subjective findings with the first responder. Of the objective criteria, our reviews identified 21 articles addressing the ability to screen for risk of incurring a medical event by evaluation of a first responder’s heart rate, 12 by blood pressure assessment, and 56 by assessment of body temperature. Of the subjective criteria we identified 19 articles focused on self-assessment, 34 articles on the use of standardized tools to assess for fatigue and sleepiness, and two articles on assessment of a first responder’s urine to determine level of dehydration. We also identified seven additional articles through a hand search. Overall, there were 151 articles identified in our scoping reviews. These articles were largely of low quality, consisting mostly of case series without comparison groups. There is a dearth of high-quality research into the medical assessment of first responders. We recommend that this paper, and measures discussed within it, be used as a starting point in the development of an evidence-based assessment protocol for wilderness first responders. We also recommend the development of a national database of medical events incurred by wilderness first responders to facilitate higher-quality research of screening protocols in this community.