cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1zswd1
title: CCDC 1841164: Experimental Crystal Structure Determination

description: Related Article: Ayyakkannu Ragupathi, Arunachalam Sagadevan, Vaibhav Pramod Charpe, Chun-Cheng Lin, Jih-Ru Hwu, Kuo Chu Hwang|2019|Chem.Commun.|55|5151|doi:10.1039/C9CC01801H
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: 10.48677/90515da9-8a93-495c-a643-f6d2a1cdb449
title: ALS DTM CRS3035RES50000mN2650000E4800000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.5517/ccdc.csd.cc2bzbc1
title: CCDC 2174103: Experimental Crystal Structure Determination

description: Related Article: Pragati Pandey, Xiaojuan Yu, Grace B. Panetti, Ekaterina Lapsheva, Michael R. Gau, Patrick J. Carroll, Jochen Autschbach, Eric J. Schelter|2022|Organometallics|42|1267|doi:10.1021/acs.organomet.2c00384
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.cc2bzbd2
title: CCDC 2174104: Experimental Crystal Structure Determination

description: Related Article: Pragati Pandey, Xiaojuan Yu, Grace B. Panetti, Ekaterina Lapsheva, Michael R. Gau, Patrick J. Carroll, Jochen Autschbach, Eric J. Schelter|2022|Organometallics|42|1267|doi:10.1021/acs.organomet.2c00384
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.cc2bzbf3
title: CCDC 2174105: Experimental Crystal Structure Determination

description: Related Article: Pragati Pandey, Xiaojuan Yu, Grace B. Panetti, Ekaterina Lapsheva, Michael R. Gau, Patrick J. Carroll, Jochen Autschbach, Eric J. Schelter|2022|Organometallics|42|1267|doi:10.1021/acs.organomet.2c00384
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.cc2bzbg4
title: CCDC 2174106: Experimental Crystal Structure Determination

description: Related Article: Pragati Pandey, Xiaojuan Yu, Grace B. Panetti, Ekaterina Lapsheva, Michael R. Gau, Patrick J. Carroll, Jochen Autschbach, Eric J. Schelter|2022|Organometallics|42|1267|doi:10.1021/acs.organomet.2c00384
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.cc2bzbh5
title: CCDC 2174107: Experimental Crystal Structure Determination

description: Related Article: Pragati Pandey, Xiaojuan Yu, Grace B. Panetti, Ekaterina Lapsheva, Michael R. Gau, Patrick J. Carroll, Jochen Autschbach, Eric J. Schelter|2022|Organometallics|42|1267|doi:10.1021/acs.organomet.2c00384
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.cc2bzbj6
title: CCDC 2174108: Experimental Crystal Structure Determination

description: Related Article: Pragati Pandey, Xiaojuan Yu, Grace B. Panetti, Ekaterina Lapsheva, Michael R. Gau, Patrick J. Carroll, Jochen Autschbach, Eric J. Schelter|2022|Organometallics|42|1267|doi:10.1021/acs.organomet.2c00384
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.cc2bzbk7
title: CCDC 2174109: Experimental Crystal Structure Determination

description: Related Article: Pragati Pandey, Xiaojuan Yu, Grace B. Panetti, Ekaterina Lapsheva, Michael R. Gau, Patrick J. Carroll, Jochen Autschbach, Eric J. Schelter|2022|Organometallics|42|1267|doi:10.1021/acs.organomet.2c00384
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: 10.48677/d5bc7a1f-5a16-477d-a560-8eba390e2dcd
title: ALS DTM CRS3035RES50000mN2700000E4250000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/4f3555a5-99c7-4a6e-adc7-b20feb77f810
title: ALS DTM CRS3035RES50000mN2700000E4300000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.6084/m9.figshare.23617242.v1
title: Supplementary Material for: Unveiling the burden of miscoding and misclassification in stroke mortality: analysis of multiple cause-of-death data in Mexico

description: Background. The prevalence of risk factors for cerebrovascular diseases in Mexico is increasing although stroke mortality declined from 1990 to 2010, without meaningful changes afterwards. While improving access to adequate prevention and care could explain this trend, miscoding and misclassification in death certificates need to be assessed to unveil the true burden of stroke in Mexico. Practices in death certification along with the presence of multi-morbidity could contribute to this distortion. Analyses of multiple causes of death could reveal ill-defined stroke deaths, providing a glimpse of this bias. Methods. Cause of death information from 4,262,666 deaths certificates in Mexico from 2009 to 2015, was examined to determine the extent of miscoding and misclassification on the true burden of stroke. Age-standardized mortality rates per 100000 inhabitants (ASMR) were calculated for stroke as underlying and multiple causes of death, by sex and state. Deaths were classified following international standards as ischemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage and unspecified, which were kept as an independent category to measure miscoding. To approximate misclassification, we compared ASMR under three misclassification scenarios: 1) Current (the status-quo); 2) moderate, which includes deaths from selected causes mentioning stroke; and 3) high which includes all deaths mentioning stroke. National and subnational data was analysed to search for geographical patterns. Results. The burden of stroke in Mexico is underreported due to miscoding and misclassification. Miscoding is an important issue, since almost 60% of all stroke deaths are registered as unspecified. Multiple cause analysis indicates that stroke ASMR could increase 39.9% to 52.9% of the current ASMR under moderate and high misclassification scenarios, respectively. Both problems indicate the need to improve death codification procedures and cause of death classification. Conclusions. Miscoding and misclassification lead to underestimation on the burden of stroke in Mexico. Stroke deaths are underreported when other important causes coexist, being diabetes the most frequent.
DOI: 10.48677/e8217a7d-568a-4686-85e8-5964944bc1f3
title: ALS DTM CRS3035RES50000mN2700000E4350000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/08a3b14e-07bf-4a39-a517-c941776f75eb
title: ALS DTM CRS3035RES50000mN2700000E4400000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/af152e2e-65af-4056-b110-60682b2a6fca
title: ALS DTM CRS3035RES50000mN2700000E4450000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.6084/m9.figshare.23617197.v1
title: Generation time and spatial population synchrony code

description: Generation time and spatial population synchrony data processing code <br> R code for processing data and running synchrony calculations.
DOI: 10.48677/6df28487-b0a3-4c37-bf33-2000c1922ffe
title: ALS DTM CRS3035RES50000mN2700000E4500000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/87e5b812-7f68-4526-83d6-8c501cb1a6f0
title: ALS DTM CRS3035RES50000mN2700000E4550000 Höhenraster 1m Stichtag 15.09.2022

description: Das ALS DTM-Höhenraster gehört zur Produktgruppe "Digitales Geländehöhenmodell" (DGM). Das digitale Geländehöhenmodell (DGM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter von 1m angeordnet und in Lage und Höhe in den europäischen Referenzsystemen georeferenziert sind. Das ALS DTM Höhenraster wurde mit Airborne Laserscanning Technologien aufgenommen. Das ALS DTM Höhenraster ist ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.5281/zenodo.7923775
title: Benchmarking microbial profilers on the CAMI data

description: Results in the CAMI format of testing various tools and reference databases. Profilers used:<br> * mOTUs 3.0.3 (https://github.com/motu-tool/mOTUs)<br> * MetaPhlAn 4.0.3 (https://github.com/biobakery/MetaPhlAn)<br> * Bracken 2.8 (https://github.com/jenniferlu717/Bracken)<br> * KMA 1.4.7 (https://bitbucket.org/genomicepidemiology/kma) For KMA, these different reference databases have been evaluated:<br> * Silva (20200116)<br> * Genomic (20220524)<br> * mOTUs db (20221205) See https://github.com/genomicepidemiology/ava-tax-benchmark for details.
DOI: 10.5281/zenodo.7923774
title: Benchmarking microbial profilers on the CAMI data

description: Results in the CAMI format of testing various tools and reference databases. Profilers used:<br> * mOTUs 3.0.3 (https://github.com/motu-tool/mOTUs)<br> * MetaPhlAn 4.0.3 (https://github.com/biobakery/MetaPhlAn)<br> * Bracken 2.8 (https://github.com/jenniferlu717/Bracken)<br> * KMA 1.4.7 (https://bitbucket.org/genomicepidemiology/kma) For KMA, these different reference databases have been evaluated:<br> * Silva (20200116)<br> * Genomic (20220524)<br> * mOTUs db (20221205) See https://github.com/genomicepidemiology/ava-tax-benchmark for details.
DOI: 10.5281/zenodo.8107155
title: Supporting data of "Wall-resolved large eddy simulation of mixed-size sand-laden flow"

description: Supporting data of "Wall-resolved large eddy simulation of mixed-size sand-laden flow"
DOI: 10.5281/zenodo.8107154
title: Supporting data of "Wall-resolved large eddy simulation of mixed-size sand-laden flow"

description: Supporting data of "Wall-resolved large eddy simulation of mixed-size sand-laden flow"
DOI: 10.5517/ccdc.csd.cc2f4rzb
title: CCDC 2238912: Experimental Crystal Structure Determination

description: Related Article: Andrew V. Kelleghan, Ana S. Bulger, Dominick C. Witkowski, Neil K. Garg|2023|Nature (London)|618|748|doi:10.1038/s41586-023-06075-8
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.cc2f5j7d
title: CCDC 2239633: Experimental Crystal Structure Determination

description: Related Article: Andrew V. Kelleghan, Ana S. Bulger, Dominick C. Witkowski, Neil K. Garg|2023|Nature (London)|618|748|doi:10.1038/s41586-023-06075-8
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: 10.5281/zenodo.8043744
title: LCA of Power-to-X processes and applications in the residential sector

description: This report describes the modelling of life cycle inventories for the provision of heat and electricity for residential purpose, relying on Power-to-X conversion processes. This includes the following energy carriers: hydrogen, synthetic natural gas, and methanol. Several end use technologies are modelled, from boilers to co-generation units and fuel cells. The heat and electricity supply chain specifications and corresponding inventories supplied with this report are available for different LCI databases and software through the datasets included in this repository.
DOI: 10.5281/zenodo.7955951
title: LCA of Power-to-X processes and applications in the residential sector

description: This report describes the modelling of life cycle inventories for the provision of heat and electricity for residential purpose, relying on Power-to-X conversion processes. This includes the following energy carriers: hydrogen, synthetic natural gas, and methanol. Several end use technologies are modelled, from boilers to co-generation units and fuel cells. The heat and electricity supply chain specifications and corresponding inventories supplied with this report are available for different LCI databases and software through the datasets included in this repository.
DOI: 10.5519/qd.sq5nx09e
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/jg0f-b409
title: Depiction of Multi-Layered configuration in Space Traffic Management System

description:  The space traffic is different from road as well as air traffic systems as in this case, the vehicular motion is completely unpredictable. The vehicular disposition involves horizontal, vertical, and diagonal motion in such a way that all the traffic components are observed to be transposing in nature simultaneously. The space traffic control model has been historically put in an unclear, hazy and ambiguous manner due to technical and political reasons. Space traffic management definition entails complexities. To build a comprehensive space traffic management system, it is essential to first develop a model that is capable of effectively and efficiently managing flightpath for collision mitigation.
DOI: 10.25345/c52j68f5g
title: MassIVE MSV000092332 - NDUFA12 as a functional target of the anticancer compound Ertredin in human hepatoma cells revealed by label-free chemical proteomics
title: Many studies have been attempted to develop new agents that target EGFR mutants or regulate downstream players in various cancers. A new small molecule, Ertredin, was discovered through cell-based screening to inhibit EGFRvIII mutant cancer cells. Previous studies have shown that Ertredin effectively inhibits anchorage-independent 3D growth of sphere-forming cells transfected with EGFRvIII mutant cDNA. However, the underlying mechanism remains to be elucidated. In this study, we investigated the target protein of Ertredin by combining DARTS with LC-MS/MS using label-free Ertredin as a bait and HepG2 cell lysates as a proteome pool. As a result, NADH dehydrogenase 1 alpha subcomplex subunit 12, NDUFA12, was identified as one of the binding proteins of Ertredin responsible for the biological activity of the compound. The interaction between NDUFA12 and Ertredin was validated by DARTS and CETSA methods. In addition, genetic knockdown of the identified target NDUFA12 was validated with respect to its association with cell proliferation. Taken together, NDUFA12 is identified as a biologically relevant target protein of Ertredin to address an anti-tumor activity of the compound and these results provide insights into a role of NDUFA12 as a downstream player of EGFRvIII mutant.
DOI: 10.4121/8ba507a3-f0f6-49c8-a4ee-62700c20628f
title: Matlab fig files for the paper 'Fluidized bed gas-solid heat transfer using a CFD-DEM coarse-graining technique'

description: This is a set of Matlab .fig files corresponding to the figures in the paper 'Fluidized bed gas-solid heat transfer using a CFD-DEM coarse-graining technique' published in Chemical Engineering Science.<br>The dataset consists of the following .fig files whereof a short description is given below:<br>Figure 1: Dimensionless temperature profiles of a fixed bed heat transfer case compared with an analytical solution.Figure 5 A, B and C: Mean particle temperature versus time for three superficial velocities (u0 = 0.14, 0.20 and 0.30 m/s).Figure 6 A, B and C: Instantaneous particle temperature PDF for 5, 15 and 25 seconds for the three studied superficial velocities (u0 = 0.14, 0.20 and 0.30 m/s).Figure 7 A, B and C: Particle temperature over the axial position for the three studied superficial velocities (u0 = 0.14, 0.20 and 0.30 m/s).Figure 11: Time and spatially averaged Nusselt number for the three different superficial velocities over coarse-graining ratio.Figure 12 A, B and C: Normalized Nusselt number probability density functions for three different superficial velocities.
DOI: 10.4121/8ba507a3-f0f6-49c8-a4ee-62700c20628f.v1
title: Matlab fig files for the paper 'Fluidized bed gas-solid heat transfer using a CFD-DEM coarse-graining technique'

description: This is a set of Matlab .fig files corresponding to the figures in the paper 'Fluidized bed gas-solid heat transfer using a CFD-DEM coarse-graining technique' published in Chemical Engineering Science.<br>The dataset consists of the following .fig files whereof a short description is given below:<br>Figure 1: Dimensionless temperature profiles of a fixed bed heat transfer case compared with an analytical solution.Figure 5 A, B and C: Mean particle temperature versus time for three superficial velocities (u0 = 0.14, 0.20 and 0.30 m/s).Figure 6 A, B and C: Instantaneous particle temperature PDF for 5, 15 and 25 seconds for the three studied superficial velocities (u0 = 0.14, 0.20 and 0.30 m/s).Figure 7 A, B and C: Particle temperature over the axial position for the three studied superficial velocities (u0 = 0.14, 0.20 and 0.30 m/s).Figure 11: Time and spatially averaged Nusselt number for the three different superficial velocities over coarse-graining ratio.Figure 12 A, B and C: Normalized Nusselt number probability density functions for three different superficial velocities.
DOI: 10.6084/m9.figshare.23617320
title: MSWIM

description: SWIM