cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21427209.v4
title: gut microbiota and total hip replacement N=44.sav

description: Post-operative delirium (POD) is a serious complication which occurs after surgery, especially in the elderly undergoing total hip replacement surgery. Gut microbiota has been recognized to infuence brain function and behaviors. Recent studies hava indicated that gut microbiota may affect postoprerative congnitive function involving the “microbiota-brain-gut”axis. We aimed to investigate changes in the gut microbiota and the association between the gut microbita and delirium after total hip replacement surgery.
DOI: 10.25405/data.ncl.21362793.v1
title: Raw and analysed filter data for SHM

description: RF based sensors are an attractive option for structural health monitoring applications due to the ease of access of interrogating such sensors. However, in most work, only scalar quantities are measured giving no indication of direction of strain or displacements. In this paper, a novel approach to displacement sensing is presented in which relative displacements are tracked in all three degrees of freedom. The sensor design is based on a pair of coupled line element filters whose frequency dependent forward power transfer is sensitivity to relative positions between the two filters. Multiple features in the S21 parameter are used to differentiate displacement direction. Gold based devices were fabricated on quartz substrates and characterized through vector network analyzer measurements. Results demonstrate uncoupled sensitivities of -1.41 MHz/mm, -1.74 MHz/mm and 12.23 MHz/mm for x, y and z displacements respectively.
DOI: 10.25405/data.ncl.21362793
title: Raw and analysed filter data for SHM

description: RF based sensors are an attractive option for structural health monitoring applications due to the ease of access of interrogating such sensors. However, in most work, only scalar quantities are measured giving no indication of direction of strain or displacements. In this paper, a novel approach to displacement sensing is presented in which relative displacements are tracked in all three degrees of freedom. The sensor design is based on a pair of coupled line element filters whose frequency dependent forward power transfer is sensitivity to relative positions between the two filters. Multiple features in the S21 parameter are used to differentiate displacement direction. Gold based devices were fabricated on quartz substrates and characterized through vector network analyzer measurements. Results demonstrate uncoupled sensitivities of -1.41 MHz/mm, -1.74 MHz/mm and 12.23 MHz/mm for x, y and z displacements respectively.
DOI: 10.5281/zenodo.7015270
title: Inputs (forcing and observations) ready for use by 'MuSA: The Multiscale Snow Data Assimilation System (v1.0)'

description: MuSA is a snow data assimilation system that can fuse observations with snowpack simulations generated by the Flexible Snow Model (FSM2). This repository contains meteorological forcing developed with the Micromet model and 5 m resolution snow depth observations in the Izas basin (central Spanish Pyrenees) generated with drones, ready to be used in MuSA.
DOI: 10.5281/zenodo.7248635
title: Inputs (forcing and observations) ready for use by 'MuSA: The Multiscale Snow Data Assimilation System (v1.0)'

description: MuSA is a snow data assimilation system that can fuse observations with snowpack simulations generated by the Flexible Snow Model (FSM2). This repository contains meteorological forcing developed with the Micromet model and 5 m resolution snow depth observations in the Izas basin (central Spanish Pyrenees) generated with drones, ready to be used in MuSA.
DOI: 10.5517/ccdc.csd.cc2bhx5y
title: CCDC 2160240: Experimental Crystal Structure Determination

description: Related Article: Mao Le, Qing-Ling Ni, Li-Hong Zeng, Cai-Yun Yuan, Xiu-Jian Wang, Shi-Ming Li, Liu-Cheng Gui|2022|Mol.Catal.|533|112786|doi:10.1016/j.mcat.2022.112786
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.cc2bhxlc
title: CCDC 2160253: Experimental Crystal Structure Determination

description: Related Article: Xiu-Yuan Li, Hai-Yu Duan, Chaozheng He|2022|Inorg.Chem.|61|17634|doi:10.1021/acs.inorgchem.2c02661
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.cc2bhxmd
title: CCDC 2160254: Experimental Crystal Structure Determination

description: Related Article: Xiu-Yuan Li, Hai-Yu Duan, Chaozheng He|2022|Inorg.Chem.|61|17634|doi:10.1021/acs.inorgchem.2c02661
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.cc2bhxnf
title: CCDC 2160255: Experimental Crystal Structure Determination

description: Related Article: Xiu-Yuan Li, Hai-Yu Duan, Chaozheng He|2022|Inorg.Chem.|61|17634|doi:10.1021/acs.inorgchem.2c02661
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.cc2bw2nz
title: CCDC 2170981: Experimental Crystal Structure Determination

description: Related Article: Lemao Yu, Senhao Huang, Tao Cai, Kui Du, Chunlei Wu, Huaping Dong, Runpu Shen|2022|J.Org.Chem.|87|15114|doi:10.1021/acs.joc.2c01593
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.cc2bw2p0
title: CCDC 2170982: Experimental Crystal Structure Determination

description: Related Article: Lemao Yu, Senhao Huang, Tao Cai, Kui Du, Chunlei Wu, Huaping Dong, Runpu Shen|2022|J.Org.Chem.|87|15114|doi:10.1021/acs.joc.2c01593
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.cc2c3vx8
title: CCDC 2178460: Experimental Crystal Structure Determination

description: Related Article: Natan Petrutik, Ilia Kaminker, Eli Flaxer, Daniel Shem-Tov, Tsabar Giladi, Yossi Bar-Bechor, Jagadish Das, Michael Gozin|2022|Chem.Eng.Journal|454|140170|doi:10.1016/j.cej.2022.140170
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.cc2c3vy9
title: CCDC 2178461: Experimental Crystal Structure Determination

description: Related Article: Natan Petrutik, Ilia Kaminker, Eli Flaxer, Daniel Shem-Tov, Tsabar Giladi, Yossi Bar-Bechor, Jagadish Das, Michael Gozin|2022|Chem.Eng.Journal|454|140170|doi:10.1016/j.cej.2022.140170
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.cc2c3w0d
title: CCDC 2178463: Experimental Crystal Structure Determination

description: Related Article: Natan Petrutik, Ilia Kaminker, Eli Flaxer, Daniel Shem-Tov, Tsabar Giladi, Yossi Bar-Bechor, Jagadish Das, Michael Gozin|2022|Chem.Eng.Journal|454|140170|doi:10.1016/j.cej.2022.140170
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.cc2c3w3h
title: CCDC 2178466: Experimental Crystal Structure Determination

description: Related Article: Natan Petrutik, Ilia Kaminker, Eli Flaxer, Daniel Shem-Tov, Tsabar Giladi, Yossi Bar-Bechor, Jagadish Das, Michael Gozin|2022|Chem.Eng.Journal|454|140170|doi:10.1016/j.cej.2022.140170
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.cc2c3w5k
title: CCDC 2178468: Experimental Crystal Structure Determination

description: Related Article: Natan Petrutik, Ilia Kaminker, Eli Flaxer, Daniel Shem-Tov, Tsabar Giladi, Yossi Bar-Bechor, Jagadish Das, Michael Gozin|2022|Chem.Eng.Journal|454|140170|doi:10.1016/j.cej.2022.140170
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.21590799
title: Supplementary file 1.docx

description: Supplementary file of NAMS Symposium paper
DOI: 10.6084/m9.figshare.21590799.v1
title: Supplementary file 1.docx

description: Supplementary file of NAMS Symposium paper
DOI: 10.6084/m9.figshare.20290782.v2
title: Dataset to accompany paper: Measured inherent optical properties of Jerlov water types

description: Dataset to accompany paper: Measured inherent optical properties of Jerlov water types
DOI: 10.6084/m9.figshare.16553061.v1
title: Dataset from the PhD Thesis

description: The object of this study is the design of a cybermetric methodology whose objectives are to measure the success of the content published in an online media and the possible prediction of the selected success variables.
DOI: 10.34740/kaggle/dsv/4556623
title: Elon Musk Tweets
DOI: 10.34740/kaggle/dsv/4556642
title: YouTube Daily
DOI: 10.5281/zenodo.7324497
title: Dataset supporting "From mouth to gut: microfluidic in vitro simulation of human gastro-intestinal digestion and intestinal permeability"

description: Manuscript abstract: Reproducible <em>in vitro</em> studies of bioaccessibility, intestinal absorption and bioavailability are key to the successful development of novel foods and drugs aiming for oral administration. There is currently a lack of methods that offer the finesse required to study these parameters for valuable molecules in small volumes - as is the case of nanomaterials under research. Here, we describe a modular microfluidic-based platform for total simulation of the human gastro-intestinal tract. Digestion-chips and cell-based gut-chips were fabricated from PDMS by soft lithography. On-chip digestion was validated using a fluorescently-labelled casein derivative, which followed typical Michaelis-Menten kinetics and showed temporal resolution and good agreement with well-established bench-top protocols. Irreversible inhibition of serine proteases using Pefabloc® SC and a 1:6 dilution was sufficient to mitigate the cytotoxicity of simulated digestion fluids. Caco-2/HT29-MTX co-cultures were grown on-chip under continuous flow for 7 days to obtain a differentiated cell monolayer forming a 3D villi-like epithelium with clear tight junction formation, and with an apparent permeability (P<sub>app</sub>) of Lucifer Yellow closely approximating values reported <em>ex vivo</em> (3.7x10<sup>-6</sup> ± 1.4x10<sup>-6</sup> vs 4.0x10<sup>-6</sup> ± 2.2x10<sup>-6</sup>). Digesta from the Digestion-chips were flowed through the Gut-Chip demonstrating the capacity to study sample digestion and intestinal permeability in a single microfluidic platform holding great promise for its use in pharmacokinetics studies.
DOI: 10.5281/zenodo.7324498
title: Dataset supporting "From mouth to gut: microfluidic in vitro simulation of human gastro-intestinal digestion and intestinal permeability"

description: Manuscript abstract: Reproducible <em>in vitro</em> studies of bioaccessibility, intestinal absorption and bioavailability are key to the successful development of novel foods and drugs aiming for oral administration. There is currently a lack of methods that offer the finesse required to study these parameters for valuable molecules in small volumes - as is the case of nanomaterials under research. Here, we describe a modular microfluidic-based platform for total simulation of the human gastro-intestinal tract. Digestion-chips and cell-based gut-chips were fabricated from PDMS by soft lithography. On-chip digestion was validated using a fluorescently-labelled casein derivative, which followed typical Michaelis-Menten kinetics and showed temporal resolution and good agreement with well-established bench-top protocols. Irreversible inhibition of serine proteases using Pefabloc® SC and a 1:6 dilution was sufficient to mitigate the cytotoxicity of simulated digestion fluids. Caco-2/HT29-MTX co-cultures were grown on-chip under continuous flow for 7 days to obtain a differentiated cell monolayer forming a 3D villi-like epithelium with clear tight junction formation, and with an apparent permeability (P<sub>app</sub>) of Lucifer Yellow closely approximating values reported <em>ex vivo</em> (3.7x10<sup>-6</sup> ± 1.4x10<sup>-6</sup> vs 4.0x10<sup>-6</sup> ± 2.2x10<sup>-6</sup>). Digesta from the Digestion-chips were flowed through the Gut-Chip demonstrating the capacity to study sample digestion and intestinal permeability in a single microfluidic platform holding great promise for its use in pharmacokinetics studies.
DOI: 10.5281/zenodo.7249302
title: Proteomics reveals multiple effects of titanium dioxide and silver nanoparticles in the metabolism of turbot, Scophthalmus maximus

description: Titanium dioxide (TiO2) and silver (Ag) NPs are among the most used engineered inorganic nanoparticles (NPs);<br> however, their potential effects to marine demersal fish species, are not fully understood. Therefore, this study<br> aimed to assess the proteomic alterations induced by sub-lethal concentrations citrate-coated 25 nm (“P25”) TiO2<br> or polyvinylpyrrolidone (PVP) coated 15 nm Ag NPs to turbot, Scophthalmus maximus. Juvenile fish were exposed<br> to the NPs through daily feeding for 14 days. The tested concentrations were 0, 0.75 or 1.5 mg of each NPs per kg of fish per day. The determination of NPs, Titanium and Ag levels (sp-ICP-MS/ICP-MS) and histological alterations<br> (Transmission Electron Microscopy) supported proteomic analysis performed in the liver and kidney.<br> Proteomic sample preparation procedure (SP3) was followed by LC-MS/MS. Label-free MS quantification<br> methods were employed to assess differences in protein expression. Functional analysis was performed using<br> STRING web-tool. KEGG Gene Ontology suggested terms were discussed and potential biomarkers of exposure<br> were proposed. Overall, data shows that liver accumulated more elements than kidney, presented more histological<br> alterations (lipid droplets counts and size) and proteomic alterations. The Differentially Expressed Proteins<br> (DEPs) were higher in Ag NPs trial. The functional analysis revealed that both NPs caused enrichment of<br> proteins related to generic processes (metabolic pathways). Ag NPs also affected protein synthesis and nucleic<br> acid transcription, among other processes. Proteins related to thyroid hormone transport (Serpina7) and calcium<br> ion binding (FAT2) were suggested as biomarkers of TiO2 NPs in liver. For Ag NPs, in kidney (and at a lower<br> degree in liver) proteins related with metabolic activity, metabolism of exogenous substances and oxidative stress<br> (e.g.: NADH dehydrogenase and Cytochrome P450) were suggested as potential biomarkers. Data suggests<br> adverse effects in turbot after medium/long-term exposures and the need for additional studies to validate<br> specific biological applications of these NPs.
DOI: 10.5281/zenodo.7249303
title: Proteomics reveals multiple effects of titanium dioxide and silver nanoparticles in the metabolism of turbot, Scophthalmus maximus

description: Titanium dioxide (TiO2) and silver (Ag) NPs are among the most used engineered inorganic nanoparticles (NPs);<br> however, their potential effects to marine demersal fish species, are not fully understood. Therefore, this study<br> aimed to assess the proteomic alterations induced by sub-lethal concentrations citrate-coated 25 nm (“P25”) TiO2<br> or polyvinylpyrrolidone (PVP) coated 15 nm Ag NPs to turbot, Scophthalmus maximus. Juvenile fish were exposed<br> to the NPs through daily feeding for 14 days. The tested concentrations were 0, 0.75 or 1.5 mg of each NPs per kg of fish per day. The determination of NPs, Titanium and Ag levels (sp-ICP-MS/ICP-MS) and histological alterations<br> (Transmission Electron Microscopy) supported proteomic analysis performed in the liver and kidney.<br> Proteomic sample preparation procedure (SP3) was followed by LC-MS/MS. Label-free MS quantification<br> methods were employed to assess differences in protein expression. Functional analysis was performed using<br> STRING web-tool. KEGG Gene Ontology suggested terms were discussed and potential biomarkers of exposure<br> were proposed. Overall, data shows that liver accumulated more elements than kidney, presented more histological<br> alterations (lipid droplets counts and size) and proteomic alterations. The Differentially Expressed Proteins<br> (DEPs) were higher in Ag NPs trial. The functional analysis revealed that both NPs caused enrichment of<br> proteins related to generic processes (metabolic pathways). Ag NPs also affected protein synthesis and nucleic<br> acid transcription, among other processes. Proteins related to thyroid hormone transport (Serpina7) and calcium<br> ion binding (FAT2) were suggested as biomarkers of TiO2 NPs in liver. For Ag NPs, in kidney (and at a lower<br> degree in liver) proteins related with metabolic activity, metabolism of exogenous substances and oxidative stress<br> (e.g.: NADH dehydrogenase and Cytochrome P450) were suggested as potential biomarkers. Data suggests<br> adverse effects in turbot after medium/long-term exposures and the need for additional studies to validate<br> specific biological applications of these NPs.
DOI: 10.26106/dz7z-zs71
title: IR spectra collected in rapid-scan mode for $CH_3OH$ and CO conversion within 10 min over mordenite catalyst - concept
DOI: 10.5281/zenodo.7327363
title: THOR RNA-sequencing results

description: Summarized results of RNA-sequencing performed within THOR (targeting smooth muscle cells in atherosclerosis). THOR is a collaborative project of Aarhus University and Novo Nordisk A/S as a part of the Open Discovery Innovation Network (ODIN) initiative. See detailed data description in the file "DESCRIPTION.md".
description: THOR is funded by the Novo Nordisk Foundation (grant number NNF20SA0061466).
DOI: 10.5281/zenodo.7327362
title: THOR RNA-sequencing results

description: Summarized results of RNA-sequencing performed within THOR (targeting smooth muscle cells in atherosclerosis). THOR is a collaborative project of Aarhus University and Novo Nordisk A/S as a part of the Open Discovery Innovation Network (ODIN) initiative. See detailed data description in the file "DESCRIPTION.md".
description: THOR is funded by the Novo Nordisk Foundation (grant number NNF20SA0061466).
DOI: 10.6084/m9.figshare.20226153
title: Remote Sensing Agricultural GPP Monsoon 2002

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226156
title: Remote Sensing Agricultural GPP Monsoon 2006

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226159
title: Remote Sensing Agricultural GPP Monsoon 2004

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226162
title: Remote Sensing Agricultural GPP Monsoon 2003

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226165
title: Remote Sensing Agricultural GPP Monsoon 2011

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226165.v1
title: Remote Sensing Agricultural GPP Monsoon 2011

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226168
title: Remote Sensing Agricultural GPP Monsoon 2008

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226168.v1
title: Remote Sensing Agricultural GPP Monsoon 2008

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226171
title: Remote Sensing Agricultural GPP Monsoon 2005

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226171.v1
title: Remote Sensing Agricultural GPP Monsoon 2005

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226174
title: Remote Sensing Agricultural GPP Monsoon 2007

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226174.v1
title: Remote Sensing Agricultural GPP Monsoon 2007

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226180
title: Remote Sensing Agricultural GPP Monsoon 2014

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226177
title: Remote Sensing Agricultural GPP Monsoon 2009

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226180.v1
title: Remote Sensing Agricultural GPP Monsoon 2014

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226183
title: Remote Sensing Agricultural GPP Monsoon 2001

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226186
title: Remote Sensing Agricultural GPP Monsoon 2016

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226186.v1
title: Remote Sensing Agricultural GPP Monsoon 2016

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226189
title: Remote Sensing Agricultural GPP Monsoon 2013

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226189.v1
title: Remote Sensing Agricultural GPP Monsoon 2013

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226195
title: Remote Sensing Agricultural GPP Monsoon 2015

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.20226177.v1
title: Remote Sensing Agricultural GPP Monsoon 2009

description: agricultural gross primary productivity