cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7424468
title: Awesome Spectral Indices

description: Awesome Spectral Indices is a standardized machine-readable catalogue of spectral indices for remote sensing in Earth system research. Currently, the catalogue has 228 spectral indices grouped in 7 application domains: vegetation, water, burn, snow, urban, radar, and kernel indices. Note that radar and kernel indices represent methodological approaches. Each index in the catalogue consists of an item with 9 attributes, listed as follows: short_name: Short name (acronym) of the index. long_name: Long name (original name) of the index. application_domain: Application domain of the index (one of the 7 above-mentioned groups). formula: Formula of the index given as a standardized expression. bands: Required bands and additional parameters for the index computation. platforms: List of platforms with the required bands for the index computation. reference: Link to the index source. date_of_addition: Date of addition to the catalogue. contributor: GitHub user link of the index contributor. The catalogue is released in two formats: JSON and CSV. The JSON file follows a key-value model with the index acronym as key and the 9 attributes as value. The CSV file follows a relational model with indices as rows and the 9 attributes as columns. The two filenames are: spectral-indices-dict.json (JSON file) spectral-indices-table.csv (CSV file) For a complete and detailed description, please see github.com/awesome-spectral-indices/awesome-spectral-indices. The dynamic GitHub repository includes the source code used to create the catalogue.
DOI: 10.5281/zenodo.7728129
title: Awesome Spectral Indices

description: Awesome Spectral Indices is a standardized machine-readable catalogue of spectral indices for remote sensing in Earth system research. Currently, the catalogue has 228 spectral indices grouped in 7 application domains: vegetation, water, burn, snow, urban, radar, and kernel indices. Note that radar and kernel indices represent methodological approaches. Each index in the catalogue consists of an item with 9 attributes, listed as follows: short_name: Short name (acronym) of the index. long_name: Long name (original name) of the index. application_domain: Application domain of the index (one of the 7 above-mentioned groups). formula: Formula of the index given as a standardized expression. bands: Required bands and additional parameters for the index computation. platforms: List of platforms with the required bands for the index computation. reference: Link to the index source. date_of_addition: Date of addition to the catalogue. contributor: GitHub user link of the index contributor. The catalogue is released in two formats: JSON and CSV. The JSON file follows a key-value model with the index acronym as key and the 9 attributes as value. The CSV file follows a relational model with indices as rows and the 9 attributes as columns. The two filenames are: spectral-indices-dict.json (JSON file) spectral-indices-table.csv (CSV file) In addition, the following files describing bands and constants are included: bands.json constants.json For a complete and detailed description, please see github.com/awesome-spectral-indices/awesome-spectral-indices. The dynamic GitHub repository includes the source code used to create the catalogue.
DOI: 10.5281/zenodo.7649033
title: Electron microscopy of particles collected by different techniques from field measurements in the Moroccan Sahara during FRAGMENT 2019

description: An intensive field campaign between 4-30 September 2019 was conducted at a major source region on the edge of the Saharan desert in Morocco (29.83 °N 5.87 °W) in the context of the FRontiers in dust minerAloGical coMposition and its Effects upoN climaTe (FRAGMENT) project. Samples were collected with three different sampling techniques, namely: flat-plate sampler (FPS), free-wing impactor (FWI), and a micro-orifice uniform deposit impactor (MOUDI). Substrates in the MOUDI and FWI were collected two times a day with a typical sampling duration of a few minutes to avoid overloading the substrate for individual particle analysis. For the flat-plate sampler, the average exposure time was half a day. Here we present dataset of the elemental composition and morphology of more than 300,000 freshly emitted individual particles by performing offline analysis in the laboratory using Scanning Electron Microscopy (SEM) coupled with Energy-Dispersive X-ray Spectrometry (EDX).
DOI: 10.5281/zenodo.7728161
title: Comparative analysis of two Candida parapsilosis isolates from the patient with a central venous catheter harbouring the Y132F and R398I mutations

description: This work presents a comparative analysis of 2 clinical isolates of <em>C. parapsilosis</em>; isolated from haemoculture (HC) and central venous catheter (CVC). Both strains harboured Y132F and R398I mutations associated with resistance to fluconazole (FLC). Differences between HC and CVC isolates in terms of virulence, resistance to FLC and lipid distribution were addressed. Expression of the ERG6 and ERG9 genes, lipid analysis, fatty acid composition and lipase activity were assessed by qPCR, thin-layer chromatography/high performance liquid chromatography, gas chromatography and spectrophotometry, respectively. A regulation of the ERG6 and ERG9 genes did not prove any impact on FLC resistance. Analysis of lipid metabolism showed a higher accumulation of lanosterol in both isolates regardless of FLC presence. Additionally, a decreased level in triacylglycerols (TAG) with impact on the composition of total FA was observed for both isolates. Direct impact of the ERG11 mutations to lipid/FA analysis has not been confirmed. The higher lipase activity observed for <em>C. parapsilosis</em> HC isolate could be correlated with the significantly decreased level of TAG. The very close relatedness between both isolates suggests that one isolate was derived from another after the initial infection of the host.
DOI: 10.5281/zenodo.7728160
title: Comparative analysis of two Candida parapsilosis isolates from the patient with a central venous catheter harbouring the Y132F and R398I mutations

description: This work presents a comparative analysis of 2 clinical isolates of <em>C. parapsilosis</em>; isolated from haemoculture (HC) and central venous catheter (CVC). Both strains harboured Y132F and R398I mutations associated with resistance to fluconazole (FLC). Differences between HC and CVC isolates in terms of virulence, resistance to FLC and lipid distribution were addressed. Expression of the ERG6 and ERG9 genes, lipid analysis, fatty acid composition and lipase activity were assessed by qPCR, thin-layer chromatography/high performance liquid chromatography, gas chromatography and spectrophotometry, respectively. A regulation of the ERG6 and ERG9 genes did not prove any impact on FLC resistance. Analysis of lipid metabolism showed a higher accumulation of lanosterol in both isolates regardless of FLC presence. Additionally, a decreased level in triacylglycerols (TAG) with impact on the composition of total FA was observed for both isolates. Direct impact of the ERG11 mutations to lipid/FA analysis has not been confirmed. The higher lipase activity observed for <em>C. parapsilosis</em> HC isolate could be correlated with the significantly decreased level of TAG. The very close relatedness between both isolates suggests that one isolate was derived from another after the initial infection of the host.
DOI: 10.34808/nwxz-kb33
title: X-ray diffraction patterns of BaCe0.6Zr0.2Y0.1M0.1O3-δ (M = Fe, Pr, Tb)

description: The dataset consists of three raw X-ray diffraction (XRD) files collected using a Phillips X’Pert Pro diffractometer (CuKα radiation (𝜆 = 1.541 Å), under 40 kV and 30 mA). The diffraction patterns of BaCe0.6Zr0.2Y0.1Fe0.1O3-δ (BCZYFe), BaCe0.6Zr0.2Y0.1Pr0.1O3-δ (BCZYPr), and BaCe0.6Zr0.2Y0.1Tb0.1O3-δ (BCZYTb) were collected at room temperature. Collected XRD data enabled the evaluation of the phase composition of samples and the crystal structure of synthesized materials. The XRD patterns were later analyzed using HighScore Plus XRD Analysis Software. NiO was used for the densification in the second step of the synthesis for all three samples, which is visible in the case of the diffraction patterns of BCZYPr and BCZYTb (the synthesis route for measured samples is presented in a separate word document). 
The samples were synthesized using the solid-state reaction method. Stoichiometric amounts of BaCO3, CeO2, ZrO2, Y2O3, Fe2O3, Pr6O11, and Tb4O7 were ball-milled and calcined at 950 ℃ for 24 h. The resulting powder was then milled again, uniaxially pressed (250 MPa), and sintered at 1300 ℃ for 10 h. NiO was used for the densification in the second step of the synthesis for all three samples, which is visible in the case of the diffraction patterns of BCZYPr and BCZYTb.
DOI: 10.25403/upresearchdata.22208038
title: Optimizing sustainable energy systems through multi-objective optimization

description: This data set is used to develop a GAMS model that uses optimization algorithms to find an optimal solution that balances competing objectives, such as energy costs, job creation, and emissions reduction. The data set provides the necessary input data for the mathematical models and constraints used in the GAMS model, which then uses optimization algorithms to generate an optimal solution that meets the specified objectives.
DOI: 10.25403/upresearchdata.22208038.v1
title: Optimizing sustainable energy systems through multi-objective optimization

description: This data set is used to develop a GAMS model that uses optimization algorithms to find an optimal solution that balances competing objectives, such as energy costs, job creation, and emissions reduction. The data set provides the necessary input data for the mathematical models and constraints used in the GAMS model, which then uses optimization algorithms to generate an optimal solution that meets the specified objectives.
DOI: 10.34808/4gjn-k624
title: Thermogravimetric analysis data of hydration in air and nitrogen for BaCe0.6Zr0.2Y0.1M0.1O3-δ (M = Fe, Pr, Tb)

description: The dataset consists of 6 files of thermogravimetric analysis (TGA) data. The TGA experiments of hydration for  BaCe0.6Zr0.2Y0.1Fe0.1O3-δ (BCZYFe), BaCe0.6Zr0.2Y0.1Pr0.1O3-δ (BCZYPr), and BaCe0.6Zr0.2Y0.1Tb0.1O3-δ (BCZYTb) were conducted on Netzsch STA 449. 
The analyzed powders were annealed at 800 ℃ for 5 h in dry air (pH2O ~ 10^(-5) atm.) to remove water and surface carbon dioxide, then cooled to 300 ℃ and kept at this temperature for 2 h. Subsequently, the dried gas was switched to the humidified air (pH2O ≈ 0.023 atm.). Each sample remained in the wet atmosphere for ≈ 2 h and then the gas was switched back to the dry air for approximately 1 h. An analogous procedure was used in a nitrogen atmosphere. 
The difference between the mass recorded in the dry and wet atmospheres allowed one to estimate the relative mass change, which enabled the analysis of the water uptake mechanism in the investigated samples and the determination of the proton defects’ concentration after hydration in air.
DOI: 10.6084/m9.figshare.19745608
title: Nanopore-only assemblies for genomic surveillance of the global priority drug-resistant pathogen, Klebsiella pneumoniae

description: Study typing table produced by Kleborate and study SNP matrix produced by Pathogenwatch.
DOI: 10.6084/m9.figshare.19745608.v1
title: Nanopore-only assemblies for genomic surveillance of the global priority drug-resistant pathogen, Klebsiella pneumoniae

description: Study typing table produced by Kleborate and study SNP matrix produced by Pathogenwatch.
DOI: 10.6084/m9.figshare.22262347
title: cis-eQTLs for 24 tissues

description: We applied the statistical fine-mapping method, dap-g (v1.0.0), to infer multiple independent casual <em>cis</em>-eQTLs of a gene in a tissue. The dap-g approach employed a Bayesian variable selection model, using a signal-level posterior inclusion probability (SPIP) to measure the strength of each association signal (SNPs in LD). We set a cutoff of 0.1 (i.e., SPIP &gt; 0.9) as the inclusion threshold to detect representative/independent eQTLs for the target eGene.
DOI: 10.6084/m9.figshare.22262347.v1
title: cis-eQTLs for 24 tissues

description: We applied the statistical fine-mapping method, dap-g (v1.0.0), to infer multiple independent casual <em>cis</em>-eQTLs of a gene in a tissue. The dap-g approach employed a Bayesian variable selection model, using a signal-level posterior inclusion probability (SPIP) to measure the strength of each association signal (SNPs in LD). We set a cutoff of 0.1 (i.e., SPIP &gt; 0.9) as the inclusion threshold to detect representative/independent eQTLs for the target eGene.
DOI: 10.5517/ccdc.csd.cc13snyh
title: CCDC 1036607: Experimental Crystal Structure Determination

description: Related Article: A. Ilin|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc13sqwh
title: CCDC 1036667: Experimental Crystal Structure Determination

description: Related Article: A. I. Ilin |2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22262095
title: Phylogeny trees of Diprionidae

description: Phylogenetic trees based on matrix 1 (BI), matrix 2 (ML) and matrix 3(BI) under the CAT+GTR model.
DOI: 10.6084/m9.figshare.22262089
title: 3d models

description: Protein coding genes NAD2, NAD4L and NAD6 of Nesodiprion biremis are predicted by using SWISS-MODEL.
DOI: 10.6084/m9.figshare.22262062.v1
title: MCMCTree result

description: Time-calibrated phylogeny of Diprionidae is based on the Bayesian tree infered with matrix 1 and divergence times are estimated with MCMCTree as part of the PAMLv4.9 package. Placements of fossil calibrations are indicated by red spots and genne rearrangement of each clade are showed on the respective nodes; Two different locations of cocoon in Diprionidae are marked on the tree.
DOI: 10.6084/m9.figshare.22262062
title: MCMCTree result

description: Time-calibrated phylogeny of Diprionidae is based on the Bayesian tree infered with matrix 1 and divergence times are estimated with MCMCTree as part of the PAMLv4.9 package. Placements of fossil calibrations are indicated by red spots and genne rearrangement of each clade are showed on the respective nodes; Two different locations of cocoon in Diprionidae are marked on the tree.
DOI: 10.6084/m9.figshare.22262575
title: cis-eQTLs for 24 tissues

description: We applied the statistical fine-mapping method, dap-g (v1.0.0), to infer multiple independent casual <em>cis</em>-eQTLs of a gene in a tissue. The dap-g approach employed a Bayesian variable selection model, using a signal-level posterior inclusion probability (SPIP) to measure the strength of each association signal (SNPs in LD). We set a cutoff of 0.1 (i.e., SPIP &gt; 0.9) as the inclusion threshold to detect representative/independent eQTLs for the target eGene.
DOI: 10.25403/upresearchdata.22187743.v1
title: Cultural adaptation of the parent's evaluation of developmental status for a low-income community in South Africa

description: A triangulation mixed-method design was followed in the overarching research project. With this design, both qualitative and quantitative data were collected simultaneously. The quantitative data from the questionnaires and the qualitative data from the focus groups, collected in a low-income community, allowed for convergence and increased credibility of the findings. A modified Delphi method that incorporated the knowledge of experts in the field of early development, together with qualitative and quantitative data, was subsequently used to culturally adapt the parents evaluation develolmental status (PEDS) tools for a low-income South African population. The quantitative data, collected through questionnaires in a low-income community and a modified delphi method with experts, is represented in an excel document. The results of the different phases of data collection is represented though tables and figures in a word document. This study used an original method to successfully culturally adapt PEDS tools for a low-income community in South Africa, creating the PEDS tools-SA.
DOI: 10.25403/upresearchdata.22187743
title: Cultural adaptation of the parent's evaluation of developmental status for a low-income community in South Africa

description: A triangulation mixed-method design was followed in the overarching research project. With this design, both qualitative and quantitative data were collected simultaneously. The quantitative data from the questionnaires and the qualitative data from the focus groups, collected in a low-income community, allowed for convergence and increased credibility of the findings. A modified Delphi method that incorporated the knowledge of experts in the field of early development, together with qualitative and quantitative data, was subsequently used to culturally adapt the parents evaluation develolmental status (PEDS) tools for a low-income South African population. The quantitative data, collected through questionnaires in a low-income community and a modified delphi method with experts, is represented in an excel document. The results of the different phases of data collection is represented though tables and figures in a word document. This study used an original method to successfully culturally adapt PEDS tools for a low-income community in South Africa, creating the PEDS tools-SA.
DOI: 10.5281/zenodo.7728353
title: Survey I4.0 in the Marche Region (ENG translation)

description: This is the english translation of the original dataset in Italian language containing the respondent's answers to an explorative survey on the diffusion of Industry 4.0 in the Marche Region, Italy.
DOI: 10.5281/zenodo.7728352
title: Survey I4.0 in the Marche Region (ENG translation)

description: This is the english translation of the original dataset in Italian language containing the respondent's answers to an explorative survey on the diffusion of Industry 4.0 in the Marche Region, Italy.
DOI: 10.6084/m9.figshare.22262596
title: Dataset

description: Data set for the reduction in drag coefficient during the transition from neutral to stable/unstable atmospheric conditions.
DOI: 10.6084/m9.figshare.22262596.v1
title: Dataset

description: Data set for the reduction in drag coefficient during the transition from neutral to stable/unstable atmospheric conditions.
DOI: 10.5281/zenodo.7698283
title: Energy-Saving Strategies for Mobile Web Apps and their Measurement: Results from a Decade of Research - Dataset

description: In 2022, over half of the web traffic was accessed through mobile devices. By reducing the energy consumption of mobile web apps, we can not only extend the battery life of our devices, but also make a significant contribution to energy conservation efforts. For example, if we could save only 5% of the energy used by web apps, we estimate that it would be enough to shut down one of the nuclear reactors in Fukushima. This paper presents a comprehensive overview of energy-saving experiments and related approaches for mobile web apps, relevant for researchers and practitioners. To achieve this objective, we conducted a systematic literature review and identified 44 primary studies for inclusion. Through the mapping and analysis of scientific papers, this work contributes: (1) an overview of the energy-draining aspects of mobile web apps, (2) a comprehensive description of the methodology used for the energy-saving experiments, and (3) a categorization and synthesis of various energy-saving approaches.
DOI: 10.5281/zenodo.7698282
title: Energy-Saving Strategies for Mobile Web Apps and their Measurement: Results from a Decade of Research - Dataset

description: In 2022, over half of the web traffic was accessed through mobile devices. By reducing the energy consumption of mobile web apps, we can not only extend the battery life of our devices, but also make a significant contribution to energy conservation efforts. For example, if we could save only 5% of the energy used by web apps, we estimate that it would be enough to shut down one of the nuclear reactors in Fukushima. This paper presents a comprehensive overview of energy-saving experiments and related approaches for mobile web apps, relevant for researchers and practitioners. To achieve this objective, we conducted a systematic literature review and identified 44 primary studies for inclusion. Through the mapping and analysis of scientific papers, this work contributes: (1) an overview of the energy-draining aspects of mobile web apps, (2) a comprehensive description of the methodology used for the energy-saving experiments, and (3) a categorization and synthesis of various energy-saving approaches.
DOI: 10.34740/kaggle/dsv/5157623
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.22262590
title: 2022 Ocean Temperature and Salinity Observations

description: Temperature and salinity profiles for SeaGlider 670 deployed off the eastern side of Eleuthera island, The Bahamas (see glider track) during the 2022 Atlantic hurricane season.
DOI: 10.6084/m9.figshare.22262590.v1
title: 2022 Ocean Temperature and Salinity Observations

description: Temperature and salinity profiles for SeaGlider 670 deployed off the eastern side of Eleuthera island, The Bahamas (see glider track) during the 2022 Atlantic hurricane season.
DOI: 10.5281/zenodo.7728463
title: Net greenhouse gas balance of fibre wood plantation on peat in Indonesia

description: Tropical peatlands cycle and store large amounts of carbon in their soil and biomass<sup>1–5</sup>. Climate and land-use change alter greenhouse gas (GHG) fluxes of tropical peatlands, but the magnitude of these changes remains highly uncertain<sup>6–19</sup>. Here we measure net ecosystem exchanges of carbon dioxide, methane and soil nitrous oxide fluxes between October 2016 and May 2022 from <em>Acacia crassicarpa </em>plantation, degraded forest and intact forest within the same peat landscape, representing land-cover change trajectories in Sumatra, Indonesia. This allows us to present a full plantation rotation GHG flux balance in fibre wood plantation on peatland. We find that the <em>Acacia </em>plantation has lower GHG emissions than the degraded site with a similar average groundwater level (GWL), despite more intensive land use. The GHG emissions from the <em>Acacia </em>plantation over a full plantation rotation (35.2 ± 4.7 tCO<sub>2</sub>-eq ha<sup>−1</sup> year<sup>−1</sup>, average ± standard deviation) were around two times higher than those from the intact forest (20.3 ± 3.7 tCO<sub>2</sub>-eq ha<sup>−1</sup> year<sup>−1</sup>), but only half of the current Intergovernmental Panel on Climate Change (IPCC) Tier 1 emission factor (EF)<sup>20</sup> for this land use. Our results can help to reduce the uncertainty in GHG emissions estimates, provide an estimate of the impact of land-use change on tropical peat and develop science-based peatland management practices as nature-based climate solutions.