cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bg2b7
title: CCDC 2158478: Experimental Crystal Structure Determination

description: Related Article: Cristiana Cesari, Beatrice Berti, Tiziana Funaioli, Cristina Femoni, Maria Carmela Iapalucci, Daniele Pontiroli, Giacomo Magnani, Mauro Riccò, Marco Bortoluzzi, Federico Maria Vivaldi, Stefano Zacchini|2022|Inorg.Chem.|61|12534|doi:10.1021/acs.inorgchem.2c00965
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.cc2bg2c8
title: CCDC 2158479: Experimental Crystal Structure Determination

description: Related Article: Cristiana Cesari, Beatrice Berti, Tiziana Funaioli, Cristina Femoni, Maria Carmela Iapalucci, Daniele Pontiroli, Giacomo Magnani, Mauro Riccò, Marco Bortoluzzi, Federico Maria Vivaldi, Stefano Zacchini|2022|Inorg.Chem.|61|12534|doi:10.1021/acs.inorgchem.2c00965
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.cc2bwkng
title: CCDC 2171446: Experimental Crystal Structure Determination

description: Related Article: Kohei Yamaguchi, Tsukasa Shimizu, Arihito Miura, Kento Ishida, Hiroyuki Kusama|2022|Org.Lett.|24|5807|doi:10.1021/acs.orglett.2c02337
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.cc2bzfpg
title: CCDC 2174206: Experimental Crystal Structure Determination

description: Related Article: Yu Sha, Junxue Bai, Miao Li, Wanxu Gao, Qi Yang, Jianwei Sun, Song Sun|2022|Org.Lett.|24|5715|doi:10.1021/acs.orglett.2c02123
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.cc2c0w9l
title: CCDC 2175589: Experimental Crystal Structure Determination

description: Related Article: Bedadyuti Vedvyas Pati, Shyam Kumar Banjare, Gopal Krushna Das Adhikari, Tanmayee Nanda, Ponneri C. Ravikumar|2022|Org.Lett.|24|5651|doi:10.1021/acs.orglett.2c01901
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.cc2c950w
title: CCDC 2183547: Experimental Crystal Structure Determination

description: Related Article: Liang-Chao Zhu, Dong-Li Yang, Yong Shi|2022|Org.Lett.|24|5825|doi:10.1021/acs.orglett.2c02367
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.cc2c951x
title: CCDC 2183548: Experimental Crystal Structure Determination

description: Related Article: Liang-Chao Zhu, Dong-Li Yang, Yong Shi|2022|Org.Lett.|24|5825|doi:10.1021/acs.orglett.2c02367
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.cc2cctxh
title: CCDC 2186117: Experimental Crystal Structure Determination

description: Related Article: Liang-Chao Zhu, Dong-Li Yang, Yong Shi|2022|Org.Lett.|24|5825|doi:10.1021/acs.orglett.2c02367
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.20495238.v2
title: prt_input_data.tar.gz

description: Opacity testdata for gcm_toolkit petitradtrans interface
DOI: 10.6084/m9.figshare.20528868
title: Environmental and genetic data on 1926 Galium verum ramets sampled in 35 landscapes in NW-Europe

description: This Figshare data-file contains three files which are linked via unique identifiers to reconstruct all the data needed to investigate the impact of green infrastructure on the functional connectivity in the grassland perennial Galium verum in fragmented semi-natural grassland landscapes in 35 landscapes spread across Sweden, Germany and Belgium. RawMicrosatelliteData.txt Genotyped microsatellite data for 9 markers for 1926 sampled individual ramets from the plant species Galium verum, collected across 35 landscapes in Sweden, Germany and Belgium. The dataset is formatted along the Spagedi-software requirements which was used to calculate the genetic diversity metrics. IndividualDescriptor.xlsx Environmental descriptors of 1926 individual ramets of the plant species Galium verum sampled across 35 landscapes in Sweden, Germany and Belgium. Via their unique ID (Ind), they can be linked to their associated genotype and their geographic position as available in RawMicrosatelliteData.txt. The environmental desciptors describe in which country, landscape or element (focal patch [1], stepping stone [4] or linear feature [2 and 3]) the individual was sampled. <br> Landscape_Composition.csv Environmental descriptors including landscape and focal genetic diversity metrics for 35 landscapes across Sweden, Germany and Belgium in which the grassland perennial plant species Galium verum was sampled.<br> Besides the descriptor "Landscape" making it possible to link these descriptors to the individual ramets in RawMicrosatelliteData.txt and IndividualDescriptor.xlsx, environmental descriptors include structural and inferred functional connectivity and various components which make up the green infrastructure, i.e. amount of semi-natural grassland habitat [ha], amount of road infrastructure [m] and the amount of forest or arable cover [ha]. Further landscape information is provided by the descriptors on "Landscape occupancy of Galium verum" and "Restored", informing on the abundance of Galium verum in the landscape surrounding each focal semi-natural grassland patch [0-1] and whether the focal semi-natural grassland patch has been restored [0/1], respectively. <br> Genetic diversity metrics for sampled Galium verum populations include allelic richness, rarified allelic richness and gametic heterozygosity (calculated using Spagedi-software), both for the focal semi-natural grassland central in each landscape as well as for the entire landscape, i.e. the focal patch + its surrounding landscape (r = 1600 m). <br> <br>
DOI: 10.6084/m9.figshare.19316714
title: Conjunto de dados estatísticos do artigo: Importância das práticas de Ciência Aberta e de comunicação científica na perspectiva de atores envolvidos

description: Conjunto de dados do artigo <strong>Importância das práticas de Ciência Aberta e de comunicação científica na perspectiva de atores envolvidos</strong> <br> <br> <strong>Dataset Importance of open science and science communication practices from the perspective of stakeholders</strong>
DOI: 10.6084/m9.figshare.19316714.v1
title: Conjunto de dados estatísticos do artigo

description: Conjunto de dados do artigo <strong>Importância das práticas de Ciência Aberta e de comunicação científica na perspectiva de atores envolvidos</strong> <br> <br> <strong>Dataset Importance of open science and science communication practices from the perspective of stakeholders</strong>
DOI: 10.6084/m9.figshare.19316717
title: Questionário aplicado

description: https://forms.gle/p8tTRiMdz64X78To9<br>
DOI: 10.6084/m9.figshare.19316717.v3
title: Questionário aplicado

description: https://forms.gle/p8tTRiMdz64X78To9<br>
DOI: 10.6084/m9.figshare.19316717.v2
title: Questionário aplicado

description: https://forms.gle/p8tTRiMdz64X78To9<br>
DOI: 10.18462/iir.gl2022.0213
title: 100℃ Hot Water Supplied by CO2 Transcritical Heat Pump with Optimized Tube-in-tube Heat Exchanger
DOI: 10.18462/iir.gl2022.0259
title: The use of natural refrigerants in North America – current trends and future opportunities.
DOI: 10.6084/m9.figshare.20462565.v1
title: Insulin prevents fatty acid induced increase of adipocyte size

description: Metabolic disorders related to obesity are largely dependent on adipose tissue hypertrophy, which involves adipocyte hypertrophy and increased adipogenesis. Adiposize is regulated by lipid accumulation as a result of increased lipogenesis (mainly lipid uptake in mature adipocytes) and reduced lipolysis. Using realtime 2D cell culture analyses of lipid uptake, we show 1) that high glucose concentration (4.5 g/L) was required to accumulate oleic acid increasing lipid droplet size until unilocularisation similar to mature adipocytes in few days, 2) oleic acid reduced <i>Peroxisome-Proliferator Activated Receptor Gamma</i> (<i>PPARG)</i> gene transcription and 3) insulin counteracted oleic acid-induced increase of lipid droplet size. Although the lipolytic activity observed in high <i>versus</i> low glucose (1g/L) conditions was not altered, insulin was found to inhibit oleic acid induced gene transcription required for lipid storage such as <i>CIDEC</i> (Cell Death Inducing DFFA Like Effectors) and <i>G0S2 (</i>G0 switch gene S2), possibly through PPARA activity. Although this signaling pathway requires more detailed investigation, the results point out the differential mechanisms involved in the pro-adipogenic effect of insulin in absence <i>versus</i> its protective effect on adiposity in presence of oleic acid uptake.
DOI: 10.5517/ccdc.csd.cc25nlxc
title: CCDC 2015803: Experimental Crystal Structure Determination

description: Related Article: Wenjing Jiang, Wei Cheng, Tingting Zhang, Tong Lu, Jingwen Wang, Yingkun Yan, Xiaorong Tang, Xuesong Wang|2022|J.Mol.Struct.|1270|133901|doi:10.1016/j.molstruc.2022.133901
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.cc25nlyd
title: CCDC 2015804: Experimental Crystal Structure Determination

description: Related Article: Wenjing Jiang, Wei Cheng, Tingting Zhang, Tong Lu, Jingwen Wang, Yingkun Yan, Xiaorong Tang, Xuesong Wang|2022|J.Mol.Struct.|1270|133901|doi:10.1016/j.molstruc.2022.133901
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.cc2bwn0x
title: CCDC 2171519: Experimental Crystal Structure Determination

description: Related Article: Brian T. H. Tsui, Molly M. H. Sung, Jenny Kinas, F. Ekkehardt Hahn, Robert H. Morris|2022|Organometallics|41|2095|doi:10.1021/acs.organomet.2c00228
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: 10.18462/iir.gl2022.0258
title: Current status and future trends of natural refrigerants in South America.
DOI: 10.18462/iir.gl2022.0242
title: Advanced R744 solution for supermarkets, hotel chillers and maritime applications in India.
DOI: 10.18462/iir.gl2022.0233
title: The potential of water as a refrigerant - past, present and future approaches.
DOI: 10.18462/iir.gl2022.0232
title: Performance relationship of air-cooled CO2-gas cooler under transcritical and subcritical conditions.
DOI: 10.18462/iir.gl2022.0257
title: Natural working fluids in transport refrigeration.
DOI: 10.18462/iir.gl2022.0256
title: Natural working fluids in cycles for surplus heat-to-power conversion – Perspectives and history from Trondheim.
DOI: 10.18462/iir.gl2022.0226
title: Performance analysis of high temperature heat pump based on the hybrid compression of water medium.
DOI: 10.6084/m9.figshare.20528859.v1
title: Surveillance of WHO Priority Gram Negative Pathogenic Bacteria in Effluents from Two Seafood Processing Facilities in Tema, Ghana, 2021 & 2022: A Descriptive Study

description: Antimicrobial resistant (AMR) bacteria in effluents from seafood processing facilities can contribute to the spread of AMR in the natural environment. In this study conducted in Tema, Ghana, a total of 38 effluent samples from two seafood processing facilities were collected during 2021 and 2022, as part of a pilot surveillance project to ascertain the bacterial load, bacterial species and their resistance to 15 antibiotics belonging to the WHO AWaRe group of antibiotics. Bacterial load in the effluent samples ranged from 13 -1800 Most Probable Number (MPN)/100 ml. We identified the following bacterial species – <em>E. coli</em> in 31 (82%) samples, <em>K. pneumoniae</em> in 15 (39%) samples, <em>Proteus spp</em>. in 6 (16%) samples, <em>P. aeruginosa</em> in 2 (5%) samples and <em>A. baumannii</em> in 2 (5%) samples. The highest levels of antibiotic resistance (100%) were recorded for ampicillin and cefuroxime among <em>Enterobacteriaceae</em>. WHO priority pathogens <em>E. coli </em>resistant to cefotaxime, ceftazidime and carbapenem and<em> K. pneumoniae </em>resistant to ceftriaxone were found in 5 (13%) effluent samples. These findings highlight the need for enhanced surveillance to identify the source of AMR and multi-drug resistant bacteria and an adoption of best practices to eliminate these bacteria in the ecosystem of the seafood processing facilities.
DOI: 10.6084/m9.figshare.20528859
title: Surveillance of WHO Priority Gram Negative Pathogenic Bacteria in Effluents from Two Seafood Processing Facilities in Tema, Ghana, 2021 & 2022: A Descriptive Study

description: Antimicrobial resistant (AMR) bacteria in effluents from seafood processing facilities can contribute to the spread of AMR in the natural environment. In this study conducted in Tema, Ghana, a total of 38 effluent samples from two seafood processing facilities were collected during 2021 and 2022, as part of a pilot surveillance project to ascertain the bacterial load, bacterial species and their resistance to 15 antibiotics belonging to the WHO AWaRe group of antibiotics. Bacterial load in the effluent samples ranged from 13 -1800 Most Probable Number (MPN)/100 ml. We identified the following bacterial species – <em>E. coli</em> in 31 (82%) samples, <em>K. pneumoniae</em> in 15 (39%) samples, <em>Proteus spp</em>. in 6 (16%) samples, <em>P. aeruginosa</em> in 2 (5%) samples and <em>A. baumannii</em> in 2 (5%) samples. The highest levels of antibiotic resistance (100%) were recorded for ampicillin and cefuroxime among <em>Enterobacteriaceae</em>. WHO priority pathogens <em>E. coli </em>resistant to cefotaxime, ceftazidime and carbapenem and<em> K. pneumoniae </em>resistant to ceftriaxone were found in 5 (13%) effluent samples. These findings highlight the need for enhanced surveillance to identify the source of AMR and multi-drug resistant bacteria and an adoption of best practices to eliminate these bacteria in the ecosystem of the seafood processing facilities.
DOI: 10.18462/iir.gl2022.0201
title: Dual source (air-solar) heat pump: thermo-economic analysis of sizing factors depending on climate conditions.
DOI: 10.18462/iir.gl2022.0200
title: Applying CO2 refrigeration to the cooling and heating of building worldwide to achieve reductions in energy and cooling water consumption, and emissions.
DOI: 10.18462/iir.gl2022.0199
title: Performance evaluation of a domestic freezer with R600a and zeotropic mixtures of R600a/R290.
DOI: 10.5281/zenodo.6119827
title: Quantifying reagent spreading by cross borehole electrical tomography to assess performance of groundwater remediation

description: This repository contains data related to the articleof the same name, published at Water Resources Research in 2022. inversion_inputs folder = all cross-borehole ERT/IP data formatted for the software AarhusInv inversion_results folder = output files from AarhusInv that can be used for plotting and further data analysis, for each inversion 2x32_Z.xml = spread file for the ABEM Terrameter LS2 when two boreholes with 32 electrodes each are connected hvede_2xbsb.txt = quadrupole series for a given pair of boreholes, including the two single-borehole and two types of cross-borehole configurations. The electrodes order is A-B-M-N. Electrodes 1-32 are in borehole 1, while electrodes 33-64 are in borehole 2. hvede_2xbsb.xml = protocol file for the ABEM Terrameter LS2, that can be used in combination with the spread file 2x32_Z.xml. The paper abstract is given below. In-situ remediation of contaminated groundwater often relies on the installation of a treatment zone degrading the contamination. Zero-valent-iron (ZVI) is a type of reagent used for this purpose. Adequate delivery of ZVI in the whole target volume is particularly challenging and requires monitoring with high spatial resolution. We present a monitoring tool for imaging the dynamic spreading of ZVI and its associated ionic cloud, using cross-borehole time-lapse electrical resistivity tomography (ERT). This tool works in urban areas and is particularly suitable for achieving the required spatial resolution at the scale of the target volume. Groundwater and sediment samples show a consistent spatial and temporal distribution of the remediation cloud with cross-borehole ERT. Yet, the 2D anomalies observed with cross-borehole ERT provide a more spatially complete and rapid image of the remediation cloud distribution than if based solely on monitoring screens. At the study site, ZVI injection leads to uneven spreading, clearly documented by cross-borehole ERT monitoring. The benefit of hydraulic conductivity (K) mapping by cross-borehole induced polarization (IP) to understand unexpected injection paths (upstream leakage, spreading in preferred pathways) is investigated. A 2D, IP-based, continuous and coherent K-distribution is obtained that compares well with estimations by grain size analyses from the treatment zone. However, the IP-based K-field fails at predicting injection paths, suggesting the creation of pathways during the high-pressure injection of ZVI. Cross-borehole time-lapse ERT is the most promising geophysical tool for performance assessment of in situ remediation involving reagents with conductivity contrast.
DOI: 10.5281/zenodo.6119828
title: Quantifying reagent spreading by cross borehole electrical tomography to assess performance of groundwater remediation

description: This dataset contains the cross-borehole ERT/IP data and inversion results used in the article whose title is given above, currently in revision at Water Resources Research. The paper abstract is given below. Data is formatted to work with the software AarhusInv, and results are output files from AarhusInv that can be used for plotting and further data analysis. In-situ remediation of contaminated groundwater often relies on the installation of a treatment zone degrading the contamination. Zero-valent-iron (ZVI) is a type of reagent used for this purpose. Adequate delivery of ZVI in the whole target volume is particularly challenging and requires monitoring with high spatial resolution. We present a monitoring tool for imaging the dynamic spreading of ZVI and its associated ionic cloud, using cross-borehole time-lapse electrical resistivity tomography (ERT). This tool works in urban areas and is particularly suitable for achieving the required spatial resolution at the scale of the target volume. Groundwater and sediment samples show a consistent spatial and temporal distribution of the remediation cloud with cross-borehole ERT. Yet, the 2D anomalies observed with cross-borehole ERT provide a more spatially complete and rapid image of the remediation cloud distribution than if based solely on monitoring screens. At the study site, ZVI injection leads to uneven spreading, clearly documented by cross-borehole ERT monitoring. The benefit of hydraulic conductivity (K) mapping by cross-borehole induced polarization (IP) to understand unexpected injection paths (upstream leakage, spreading in preferred pathways) is investigated. A 2D, IP-based, continuous and coherent K-distribution is obtained and compares well with estimations by grain size analyses from the treatment zone. However, the IP-based K-field fails at predicting injection paths, suggesting and the creation of engineered pathways during the high-pressure injection of ZVI. Cross-borehole time-lapse ERT is the most promising geophysical tool for performance assessment of in situ remediation involving reagents with conductivity contrast.