cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1285/i11245344v2018n4p159
title: La cultura umanistica nella società del 2000

description: Gli studi umanistici, e più in particolare gli studi filologici, danno come primo risultato la capacità di organizzare il pensiero e di esprimerlo con efficacia. Il modello non è tuttavia la retorica sofistica, ma il λόγος stoico, che trasforma il χάος in κόσμος, e il Λόγος creatore del Vangelo di Giovanni. L'umanista è la coscienza critica e la memoria storica della società. La coscienza critica si esprime nell'elogio della lentezza e nell'elogio dell'eresia come capacità di ponderazione e assunzione di responsabilità; la memoria storica consente il recupero delle radici della nostra civiltà, caratterizzata dalla reinterpretazione cristiana della humanitas classica. Punto di arrivo di tutto il discorso è l'affermazione del primato del sapere sul saper fare e della conoscenza sul prodotto materiale, perché la materia è sterile, mentre lo spirito è fecondo.
description: Classical studies, philological studies in particular, give as first result the capacity to organize thought and express it efficaciously. However, the model is not sophistical rhetoric, but the Stoical λόγος which transforms the χάος into κόσμος, and the Λόγος creator of St John's Gospel. A humanist is the expression of the critical conscience and historical memory of society. The critical conscience expresses itself in the commendation of slowness and in the commendation of heresy because they reveal the capacity to reflect carefully and assume one's own responsibilities. Historical memory allows the recovery of the roots of our civilization that is characterized by the christian re-interpretation of classical humanitas. The final point of the discourse is the affirmation of the supremacy of knowledge over the capacity to do, as well as the supremacy of knowledge over the material product, because matter is sterile while human spirit is fruitful.
DOI: 10.1285/i11245344v2018n4p175
title: Recensioni
DOI: 10.1285/i11245344v2018n4p177
title: E. Puglia, Le Sirene dell'Odissea da Omero a Caposella, Franco Di Mauro Editore, Sorrento 2018, pp. 189
DOI: 10.1285/i11245344v2018n4p183
title: G. Tedeschi, Spettacoli e trattenimenti dal IV secolo a.C. all'età tardo-antica secondo i documenti epigrafici e papiracei, EUT, Trieste 2017, pp. 427
DOI: 10.1285/i11245344v2018n4p191
title: Libri ricevuti
DOI: 10.5281/zenodo.4293454
title: Soil organic carbon distribution for 0-3 m soils at 1 km2 scale of the frozen ground in the Third Pole Regions

description: Soil organic carbon (SOC) is very important in the vulnerable ecological environment of the Third Pole; however, data regarding the spatial distribution of SOC are still scarce and uncertain. Based on multiple environmental variables and soil profile data from 458 pits (depth of 0–1 m) and 114 cores (depth of 0–3 m), this study uses a machine-learning approach to evaluate the SOC storage and spatial distribution at different soil depths (0–30 cm, 0–50 cm, 0–100 cm, 0–200 cm, and 0–300 cm) in the frozen ground area of the Third Pole region. Our results provide information on the storage, patterns, and environmental controls of SOCSs at a 1 km<sup>2</sup> scale for areas of frozen ground in the Third Pole region, thus providing a scientific basis for future studies pertaining to Earth system models. Soil organic carbon data is stored in grids format, and the file name is "TP-SOC-d.tif", where d represents soil depth, for example, "TP-SOC-30.tif" represents the spatial distribution of soil organic carbon stocks in the Third Pole regions of the upper 30 cm depth interval.
DOI: 10.5281/zenodo.4293453
title: Soil organic carbon distribution for 0-3 m soils at 1 km2 scale of the frozen ground in the Third Pole Regions

description: Soil organic carbon (SOC) is very important in the vulnerable ecological environment of the Third Pole; however, data regarding the spatial distribution of SOC are still scarce and uncertain. Based on multiple environmental variables and soil profile data from 458 pits (depth of 0–1 m) and 114 cores (depth of 0–3 m), this study uses a machine-learning approach to evaluate the SOC storage and spatial distribution at different soil depths (0–30 cm, 0–50 cm, 0–100 cm, 0–200 cm, and 0–300 cm) in the frozen ground area of the Third Pole region. Our results provide information on the storage, patterns, and environmental controls of SOCSs at a 1 km<sup>2</sup> scale for areas of frozen ground in the Third Pole region, thus providing a scientific basis for future studies pertaining to Earth system models. Soil organic carbon data is stored in grids format, and the file name is "TP-SOC-d.tif", where d represents soil depth, for example, "TP-SOC-30.tif" represents the spatial distribution of soil organic carbon stocks in the Third Pole regions of the upper 30 cm depth interval.
DOI: 10.1285/i11245344v2018n4p195
title: Indice Generale
DOI: 10.1285/i11245344v2018n4p197
title: Norme per i collaboratori
DOI: 10.1285/i11245344v2018n4p199
title: Rudiae. Ricerche sul mondo classico - Prima Serie
DOI: 10.5281/zenodo.4293475
title: Code and Data for: "Signs of local adaptation and phenotypic plastic response to elevation shifted between environmental backgrounds in Snapdragon plants"

description: Code and data for manuscript: "Signs of local adaptation and phenotypic plastic response to elevation shifted between environmental backgrounds in Snapdragon plants"
DOI: 10.5281/zenodo.4293474
title: Code and Data for: "Signs of local adaptation and phenotypic plastic response to elevation shifted between environmental backgrounds in Snapdragon plants"

description: Code and data for manuscript: "Signs of local adaptation and phenotypic plastic response to elevation shifted between environmental backgrounds in Snapdragon plants"
DOI: 10.1285/i11245344v2018n4p201
title: Rudiae. Studi e testi
DOI: 10.1285/i11245344v2018n4p203
title: Colophon
DOI: 10.14768/6dd7bbb2-6e0d-4de3-bf03-7d6ead628845
title: 2018 and 2019 ACTRIS Cloud Radar Calibration Campaign, Corner Reflectors on Masts Experiment

description: This dataset contains all radar measurements used in the preparation of a new cloud radar calibration methodology, using reference reflectors mounted on masts. This data was collected during two field experiments held in 2018 and 2019 at the SIRTA atmospheric observatory, located in Palaiseau, France, in the framework of the ACTRIS-2 research and innovation program. A documented python file with the time periods used in each published retrieval is included.
DOI: 10.5285/b503dbdb-f954-4870-e053-6c86abc03f79
title: Water column nutrient, particulate organic matter and isotopic data and porewater nutrient data for the west Antarctic Peninsula shelf from cruise JR15003.

description: The objective of cruise JR15003 in December 2015 was to examine organic matter and nutrient cycling and benthic-pelagic coupling in the West Antarctic Peninsula shelf region using biogeochemical and isotopic measurements of the water column, sediments and porewaters. Samples were collected at three stations at the beginning of the ice-free season, between 25th and 28th December 2015, as part of the Collaborative Gearing Scheme project CGS-109. Water column samples were collected from niskin bottles mounted on the CTD rosette of RRS James Clark Ross and analysed for nutrient and organic matter concentrations and their isotopic signatures, and the oxygen isotope composition of seawater. Temperature, pressure, salinity, and oxygen data from the CTD package are also provided to accompany water column biogeochemistry data. Upper sediment samples were collected by box-coring and subsequent sub-sampling. Interface waters were collected immediately, then sub-cores were taken from the box core for pore fluid extraction and core sectioning. Pore fluids were extracted every two centimetres using rhizon syringe filters with a filter membrane of &lt;0.15 micrometres, and stored for analysis of macronutrient concentrations (ammonium, nitrate+nitrite, nitrite, phosphate, and silicate). Porewaters and water column samples were analysed for macronutrient concentrations at Plymouth Marine Laboratory and seawater oxygen isotopes were analysed at the British Geological Survey, Keyworth. Data were generated by Sian Henley at the School of Geosciences, University of Edinburgh, Katharine Hendry at the School of Earth Sciences, University of Bristol and Yvonne Firing at the National Oceanography Centre, Southampton. Data collection was funded by the NERC Independent Research Fellowship NE/K010034/1 entitled "Isotopic characterisation of nutrient dynamics and UCDW behaviour in the west Antarctic Peninsula sea ice environment". Additional funding was provided by British Antarctic Survey Collaborative Gearing Scheme project CGS-109, and NERC national capability funding for SR1b repeat transect (PI Firing). Major and minor element compositions of the upper sediments from X-ray fluorescence spectroscopy analysis, of samples from the same box-cores, are available in Henley and Odling (2020) doi:10.5285/b1282b1e-7852-5d16-e053-6c86abc04c61.
DOI: 10.6084/m9.figshare.12672353
title: New Zealand Religious Affiliation from 1891-2018

description: Version 1.2<br><br>This data set is compiled from the New Zealand Census ranging from 1891-2018. The Raw Data includes all categories of answers about Religious Affiliation.The data for each individual year of observation has been taken from the reported data closest to that year.<br>The data set includes; Introduction, Compiled Data, Raw Data and References to each census.<br>CC0 as long as it is cited according to academic standards.<br><br>For comments or edits please feel free to contact me directly.
DOI: 10.6084/m9.figshare.12672353.v3
title: New Zealand Religious Affiliation from 1891-2018

description: Version 1.2<br><br>This data set is compiled from the New Zealand Census ranging from 1891-2018. The Raw Data includes all categories of answers about Religious Affiliation.The data for each individual year of observation has been taken from the reported data closest to that year.<br>The data set includes; Introduction, Compiled Data, Raw Data and References to each census.<br>CC0 as long as it is cited according to academic standards.<br><br>For comments or edits please feel free to contact me directly.
DOI: 10.6084/m9.figshare.12672353.v2
title: New Zealand Religious Affiliation from 1891-2018.zip

description: Version 1.1<br><br>This data set is compiled from the New Zealand Census ranging from 1891-2018. The Raw Data includes all categories of answers about Religious Affiliation.The data for each individual year of observation has been taken from the reported data closest to that year.<br>The data set includes; Introduction, Compiled Data, Raw Data and References to each census.<br>CC0 as long as it is cited according to academic standards.<br><br>For comments or edits please feel free to contact me directly.
DOI: 10.4225/08/5ab1bc9684bf4
title: Online interactive visualization of selected organic molecules in 3D

description: This is a demonstration for generating 3D online Visualisation of molecular structure using DCM plugins. A selection of the molecules, including calcium chloride (CaCl2), bromine trifluoride (BrF3), germane (GeH4), antimony pentachloride (SbCl5) and tellurium hexafluoride (TeF6), are included as examples.
DOI: 10.18716/nmrshiftdb2/10006007
title: NMR data for INDOLE BENZO-PYRROLE
DOI: 10.18716/nmrshiftdb2/40091256
title: NMR data for propynoic acid ethyl ester
DOI: 10.21227/9jqg-8135
title: Manipulation Volume inside the Knee Joint Capsule

description: Coming soon.
DOI: 10.5286/isis.e.rb1920031-4
title: Dynamics study on H2 and D2 separation in a porous solid

description: Neutron scattering is one of the few experimental techniques that can directly determine the mechanism of hydrogen (H2) and deuterium (D2) adsorption in microporous solids. Therefore, it is an ideal technique to study porous materials used for H2/D2 separations in-situ under high-pressure environments1. In collaboration with Professor Andy Coopers group at the University of Liverpool we have been investigating a novel porous organic cage (POC), 6MT-RCC3 (Figure 1), which shows remarkable potential for H2 and D2 separations. In light of these findings, and to understand the different dynamics and diffusion rates of H2 and D2 in 6MT-RCC3, we are proposing to carry out an in-situ neutron Compton scattering (NCS) mass-resolved spectroscopy (MANSE) at VESUVIO. We propose to investigate H2 adsorption and D2 adsorption independently and to investigate the adsorption of an H2/D2 gas mixture,
DOI: 10.17028/rd.lboro.13295978.v1
title: Supplementary information files for Computational fluid dynamics (CFD) modeling of removal of contaminants of emerging concern in solar photo-Fenton raceway pond reactors

description: Supplementary files for article Computational fluid dynamics (CFD) modeling of removal of contaminants of emerging concern in solar photo-Fenton raceway pond reactors. The impact of mixing and hydrodynamics on the removal of contaminants of emerging concern (CECs) detected in a secondary WWTP effluent by the solar photo-Fenton process in a pilot scale Raceway Pond Reactor (RPR) was investigated by computational fluid dynamics (CFD). The CFD model incorporated the solar photo-Fenton CECs oxidation kinetics at neutral pH with Fe<sup>3+</sup>-EDDS, the radiation transport through the water, and the turbulent flow field produced by a paddle wheel mixer. The fluid dynamics was solved by a transient-multiphase flow model (Volume of Fluid with Sliding Mesh Model) and by a steady-state momentum source domain (SD) model. Experimental RPR mixing time and CECs removal under transient conditions validated the models. The computationally faster SD model predicted the CECs removal varying the paddle wheel rotational speed, the solar irradiance, and fluid residence time. Deviations from an ideal CSTR were significative (&gt;10%) when the CECs half-life/mixing time ratios were &gt;1, while residence time had minor influence. The mixing effects were amplified in a scaled-up RPR and treatment capacity decreased 10% compared with a CSTR. Overall, this study reveals that the design of hydrodynamics in large-scale RPRs must be carefully examined to reduce power consumption while increasing mixing performance.<br>
DOI: 10.17028/rd.lboro.13295978
title: Supplementary information files for Computational fluid dynamics (CFD) modeling of removal of contaminants of emerging concern in solar photo-Fenton raceway pond reactors

description: Supplementary files for article Computational fluid dynamics (CFD) modeling of removal of contaminants of emerging concern in solar photo-Fenton raceway pond reactors. The impact of mixing and hydrodynamics on the removal of contaminants of emerging concern (CECs) detected in a secondary WWTP effluent by the solar photo-Fenton process in a pilot scale Raceway Pond Reactor (RPR) was investigated by computational fluid dynamics (CFD). The CFD model incorporated the solar photo-Fenton CECs oxidation kinetics at neutral pH with Fe<sup>3+</sup>-EDDS, the radiation transport through the water, and the turbulent flow field produced by a paddle wheel mixer. The fluid dynamics was solved by a transient-multiphase flow model (Volume of Fluid with Sliding Mesh Model) and by a steady-state momentum source domain (SD) model. Experimental RPR mixing time and CECs removal under transient conditions validated the models. The computationally faster SD model predicted the CECs removal varying the paddle wheel rotational speed, the solar irradiance, and fluid residence time. Deviations from an ideal CSTR were significative (&gt;10%) when the CECs half-life/mixing time ratios were &gt;1, while residence time had minor influence. The mixing effects were amplified in a scaled-up RPR and treatment capacity decreased 10% compared with a CSTR. Overall, this study reveals that the design of hydrodynamics in large-scale RPRs must be carefully examined to reduce power consumption while increasing mixing performance.<br>
DOI: 10.5519/qd.eujlr3st
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5285/4325c0ac-21bf-4703-971a-2cc0e9fdad8e
title: BGS GeoSure version 8

description: BGS GeoSure identifies, at 1:50 000 scale, areas of susceptibility and considers the following specific hazard processes that can occur in Great Britain:
1.	Shrink–Swell: Swelling clays change in volume due to changes in water content; this can lead to movements (up or down) in the upper two metres of the ground, which may affect property foundations.
2.	Landslides (Slope Instability): Slope instability occurs when particular slope characteristics combine to make the slope unstable. Downslope movement of materials (landslide) may cause damage to foundations, services or impact damage to buildings.
3.	Soluble Rocks (Dissolution): Ground dissolution occurs when certain types of rocks, containing layers of soluble material, get wet and the soluble material dissolves. This can cause underground cavities to develop. These cavities reduce support to the ground above and can lead to a collapse of overlying rocks.
4.	Compressible Ground: Some types of ground may contain layers of very weak materials such as peat or some types of poorly structured clays. These may compress if loaded by overlying structures, or if the groundwater level changes. This compression may result in depression of the ground surface, potentially disturbing foundations and services.
5.	Collapsible Deposits: Some soils may collapse when a load (building or road traffic) is placed on them, especially if they become saturated. Such collapse may cause damage to overlying property or services.
6.	Running Sand: Some rocks and soils can contain loosely packed sandy layers that can become fluidised by water flowing through them.  Such sands can ‘run’ (flow), potentially removing support from overlying buildings and causing damage.
DOI: 10.6084/m9.figshare.13280915
title: Figure 3 A

description: Confocal images used to generate spatial intensity distribution analysis data for the publication figure 3 A
DOI: 10.25345/c59n4c
title: MassIVE MSV000086529 - Dimethyl labeling-based quantitative PTM proteomic analysis of drought-regulated phosphoproteomes in soybean drought-tolerant cultivar
title: The isotopic dimethyl labeling-based quantitative post-translational modification proteomics was applied to study the phosphoproteomic changes associated with the drought responses of two contrasting soybean cultivars. A total of 9,457 non-redundant, unambiguous, label-independent and repeatable phosphopeptides were subsequently identified from six experimental replicates, corresponding to 9,234 of deduced unique phosphoproteins. These soybean proteins contain a total of 20,880 phosphosites, 84.9% of which were found to be novel phosphosites of the soybean phosphoproteome. The overly post-translationally modified proteins is 2.05% of the phosphoproteins identified. Most of these extensively phosphorylated proteins are photoreceptors, mRNA-, histone- and phospholipid-binding as well as serine/threonine/tyrosine protein kinase/phosphatases. The subgroup population distribution of phosphoproteins over the number of the phosphosite of phosphoprotein follows the exponential decay law, Y=4.13e^(-0.098X)-0.04. From 218 significantly regulated unique phosphopeptide groups, 188 significantly regulated phosphoproteins were found, and they are enriched in biological functions of water transport and deprivation, methionine metabolic process, photosynthesis/light reaction, and response to cadmium ion, osmotic stress and ABA under drought treatment. A total of 15 and 20 drought-tolerant cultivar significantly regulated phosphoproteins are transcription factors and protein kinases/phosphatases, respectively. More than 50% of these phosphoproteins are considered to be novel regulatory components, presumably mediating the development of the soybean drought tolerance under water deprivation process. The association of five randomly selected phosphoproteins with the drought response was corroborated with the RT-qPCR method.
DOI: 10.6084/m9.figshare.13280918.v1
title: Figure 3 F

description: Confocal images used to generate spatial intensity distribution analysis data for the publication figure 3 F
DOI: 10.6084/m9.figshare.13280918
title: Figure 3 F

description: Confocal images used to generate spatial intensity distribution analysis data for the publication figure 3 F
DOI: 10.25646/7691
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.6084/m9.figshare.13281014
title: Figure 5 A

description: Confocal images used to generate spatial intensity distribution analysis data for the publication figure 5 A
DOI: 10.6084/m9.figshare.13281014.v1
title: Figure 5 A

description: Confocal images used to generate spatial intensity distribution analysis data for the publication figure 5 A
DOI: 10.6084/m9.figshare.13281017
title: Figure 5 B

description: Confocal images used to generate spatial intensity distribution analysis data for the publication figure 5 B
DOI: 10.6084/m9.figshare.13281017.v1
title: Figure 5 B

description: Confocal images used to generate spatial intensity distribution analysis data for the publication figure 5 B
DOI: 10.6084/m9.figshare.13295918
title: Predicting Long-term Dynamics of Soil Salinity and Sodicity on a Global Scale

description: This dataset globally (excluding frigid/polar zones) quantifies the variability in surface soil (0 – 30 cm) salinity and sodicity for the period between 1980 and 2018. This is realised by developing 4-D predictive models of Electrical Conductivity of saturated soil Extract (ECe) and soil Exchangeable Sodium Percentage (ESP) as indicators of soil salinity and sodicity. These machine learning-based models make predictions for ECe and ESP at different times, locations, and depths. The dataset includes 78 maps showing the annual predicted ECe and ESP between 1980 and 2018 on a global scale.Users are referred to the corresponding "READ_ME" file for more information about this dataset. Article10.1073/pnas.2013771117 also provides more information about the dataset.