cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17103365
title: Dataset for Universal In Situ Isotope Exchange Raman Spectroscopy (IERS) Methodology for Measuring Oxygen Surface Exchange Dynamics Using a Probe Layer

description: We have developed a novel ubiquitous methodology which we report for the first time in our manuscript entitled “Universal in situ isotope exchange Raman spectroscopy (IERS) methodology for measuring oxygen surface exchange dynamics using a probe layer”. (DOI: 10.1002/adfm.202514047)

The conventional IERS method, based upon the Raman frequency shift due to the changes in isotope concentration, has recently proved to be a powerful technique to study the oxygen diffusion and surface exchange kinetics in situ. Its ground-breaking advantages have been evidenced by the previous work ([1] A. Stangl, M. Buriel et al., Advanced Materials, 10.1002/adma.202303259, 2023; [2] A. Stangl, M. Buriel et al., Small Structures, 10.1002/sstr.202400237, 2024). However, the existence of at least one active oxygen vibrational Raman mode is the prerequisite to apply conventional IERS to characterize oxygen transport of a given material. This confines its applicability to a limited range of compositions. To address this limitation, we demonstrate here that by using an innovative methodology, it is possible to extend the use of the IERS technique to study the oxygen surface exchange dynamics independently of the vibrational properties of the functional material of interest.

A multilayer thin film configuration has been designed, comprising the following main elements: i) the functional layer, i.e., a dense and thin layer consisting of the material under study, ii) the probe layer; and iii) the blocking layer. This bespoke sample configuration overcomes the material dependency of conventional IERS, standing out as an alternative approach to the traditional Isotope exchange depth profiling combined with secondary ion mass spectrometry (IEDP-SIMS) method to study the oxygen mass transport dynamics in nano thin films. Compared to IEDP-SIMS, this universal IERS methodology is more efficient, non-destructive and provides additional structural information and time resolution. Additionally, the IERS method can be further extended to various isotopic elements (such as Li+ or H+) enabling mechanism studies on ion transport dynamics under realistic conditions.

This methodology is expected to rapidly establish itself as a standardized in situ technique for studying ion transport, with a significant and wide-reaching impact due to its versatile applications.
DOI: 10.5281/zenodo.17103366
title: Dataset for Universal In Situ Isotope Exchange Raman Spectroscopy (IERS) Methodology for Measuring Oxygen Surface Exchange Dynamics Using a Probe Layer

description: We have developed a novel ubiquitous methodology which we report for the first time in our manuscript entitled “Universal in situ isotope exchange Raman spectroscopy (IERS) methodology for measuring oxygen surface exchange dynamics using a probe layer”. (DOI: 10.1002/adfm.202514047)

The conventional IERS method, based upon the Raman frequency shift due to the changes in isotope concentration, has recently proved to be a powerful technique to study the oxygen diffusion and surface exchange kinetics in situ. Its ground-breaking advantages have been evidenced by the previous work ([1] A. Stangl, M. Buriel et al., Advanced Materials, 10.1002/adma.202303259, 2023; [2] A. Stangl, M. Buriel et al., Small Structures, 10.1002/sstr.202400237, 2024). However, the existence of at least one active oxygen vibrational Raman mode is the prerequisite to apply conventional IERS to characterize oxygen transport of a given material. This confines its applicability to a limited range of compositions. To address this limitation, we demonstrate here that by using an innovative methodology, it is possible to extend the use of the IERS technique to study the oxygen surface exchange dynamics independently of the vibrational properties of the functional material of interest.

A multilayer thin film configuration has been designed, comprising the following main elements: i) the functional layer, i.e., a dense and thin layer consisting of the material under study, ii) the probe layer; and iii) the blocking layer. This bespoke sample configuration overcomes the material dependency of conventional IERS, standing out as an alternative approach to the traditional Isotope exchange depth profiling combined with secondary ion mass spectrometry (IEDP-SIMS) method to study the oxygen mass transport dynamics in nano thin films. Compared to IEDP-SIMS, this universal IERS methodology is more efficient, non-destructive and provides additional structural information and time resolution. Additionally, the IERS method can be further extended to various isotopic elements (such as Li+ or H+) enabling mechanism studies on ion transport dynamics under realistic conditions.

This methodology is expected to rapidly establish itself as a standardized in situ technique for studying ion transport, with a significant and wide-reaching impact due to its versatile applications.
DOI: 10.15468/dl.v7qtkg
title: Occurrence Download

description: A dataset containing 25074480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 25074480 records from 651 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009125-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.space.03242
title: Analysis of pyramid-structured laser retro-reflector array and laser ranging experiment
title: Analysis of pyramid-structured laser retro-reflector array and laser ranging experiment

description: As a passive optical cooperative target, the laser retro-reflector array (LRA) is an essential component of satellite laser ranging (SLR) systems. For LRAs on low Earth orbit satellites, they need to operate over a wide range of laser incidence angles while keeping the total ranging uncertainty introduced by the array structure within acceptable limits. To meet the requirements of high-precision laser ranging, a lightweight, high-precision four-prism LRA with a pyramid structure was developed. This paper conducts a theoretical analysis of key technical parameters of a pyramid-structured LRA using a special velocity aberration compensation method, including far-field diffraction pattern, relative effective reflection area distribution, and centre of mass correction value distribution. Laser ranging experiments were conducted using the domestic mobile SLR system TROS1000 to track the satellite equipped with the pyramid-structured LRA. The results showed a ranging precision of 0.9 cm, which is basically consistent with the theoretical analysis. This indicates that the pyramid-structured LRA has excellent performance, providing guidance for future designs of satellite LRAs.
description: As a passive optical cooperative target, the laser retro-reflector array (LRA) is an essential component of satellite laser ranging (SLR) systems. For LRAs on low Earth orbit satellites, they need to operate over a wide range of laser incidence angles while keeping the total ranging uncertainty introduced by the array structure within acceptable limits. To meet the requirements of high-precision laser ranging, a lightweight, high-precision four-prism LRA with a pyramid structure was developed. This paper conducts a theoretical analysis of key technical parameters of a pyramid-structured LRA using a special velocity aberration compensation method, including far-field diffraction pattern, relative effective reflection area distribution, and centre of mass correction value distribution. Laser ranging experiments were conducted using the domestic mobile SLR system TROS1000 to track the satellite equipped with the pyramid-structured LRA. The results showed a ranging precision of 0.9 cm, which is basically consistent with the theoretical analysis. This indicates that the pyramid-structured LRA has excellent performance, providing guidance for future designs of satellite LRAs.
DOI: 10.57760/sciencedb.space.03071
title: Impact of Ground-Level Radiation on Autonomous Vehicles: Assessment and Considerations
title: 地面辐射对自动驾驶车辆的影响：评估与考量 数据

description: This dataset primarily focuses on calculating single-event rates for a selection of representative devices under major terrestrial neutron spectra. It includes the assessment of single-event rates in typical cities and an analysis of the GLE69 event along with ground-based neutron flux measurements. Additionally, historical global vehicle ownership data and future projections, including anticipated trends in intelligent vehicle development, have been compiled. These data collectively support studies on the impact of terrestrial neutron-induced single-event effects on the risk assessment of future intelligent driving vehicles.
description: This dataset primarily focuses on calculating single-event rates for a selection of representative devices under major terrestrial neutron spectra. It includes the assessment of single-event rates in typical cities and an analysis of the GLE69 event along with ground-based neutron flux measurements. Additionally, historical global vehicle ownership data and future projections, including anticipated trends in intelligent vehicle development, have been compiled. These data collectively support studies on the impact of terrestrial neutron-induced single-event effects on the risk assessment of future intelligent driving vehicles.
DOI: 10.5281/zenodo.17489545
title: RAQAMLI DAVR ADABIYOTI: O'ZBEKISTONDA INTERAKTIV IJOD VA ONLAYN MUHIT SHAKLLANISHI
DOI: 10.5281/zenodo.17489544
title: RAQAMLI DAVR ADABIYOTI: O'ZBEKISTONDA INTERAKTIV IJOD VA ONLAYN MUHIT SHAKLLANISHI
DOI: 10.15468/dl.qfxd6s
title: Occurrence Download

description: A dataset containing 4071742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2005-2024"
 ]
}

 The dataset includes 4071742 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009126-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17489536
title: ViTrace Detects Viral Signatures in Tumor Transcriptomes Using a Hybrid Language Model

description: The first simulated dataset, Sim1, was constructed by viRNAtrap. The training and testing data are randomly sampled from the simulated reads from hg19 reference genome and 13 virus species from 7 genera across 4 phyla. ViTrace and other 5 baseline models, viRNAtrap, DeepVirFinder, ViraMiner, DeepViFi, and Seq2Seq are all trained and tested on Sim1.

The second simulated dataset, Sim2, was constructed as an independent testing set to evaluate ViTrace's performance to identify viruses whose taxonomy had never been seen during the training.

The third simulated dataset, Sim3, was created to evaluate ViTrace’s ability to differentiate viruses from other microorganisms. Positive samples were generated from 12,567 viral genomes, covering 8,102 species across 1,012 genera, obtained from the NCBI RefSeq database. The negative samples were derived from balanced sequences representing bacteria, fungi, and archaea.

This mouse dataset originates from VVRD and NCBI GRC/m38, covering 7 microbial genera across 4 bacterial phyla.  It comprises 8.0 million samples for training, 800,000 for validation, and 2.91 million for testing, and is designed for training and testing purposes.
DOI: 10.57760/sciencedb.30869
title: Non-targeted in vivo metabolomics data
title: Non-targeted in vivo metabolomics data

description: This dataset contains information on metabolite expression in ESI+and ESI - patterns obtained from untargeted in vivo metabolomics analysis of mouse serum from normal group, photoaging model group, ergotamine group, and complex group. 
description: This dataset contains information on metabolite expression in ESI+and ESI - patterns obtained from untargeted in vivo metabolomics analysis of mouse serum from normal group, photoaging model group, ergotamine group, and complex group.
DOI: 10.57760/sciencedb.30796
title: Data Availability
title: Data Availability

description: Three-dimensional finite-difference time-domain (FDTD) method was employed to simulate the electric field intensity distribution at the ends of nanowires with diameters of 60 nm, 200 nm, and 300 nm under femtosecond laser irradiation.The simulated electric field distributions for silver nanowires under femtosecond laser irradiation are provided in separate files: 60nm.txt, 200nm.txt, and 300nm.txt for diameters of 60, 200, and 300 nm, respectively, and vertical_nanowires.txt for the vertical nanowire configuration.
description: Three-dimensional finite-difference time-domain (FDTD) method was employed to simulate the electric field intensity distribution at the ends of nanowires with diameters of 60 nm, 200 nm, and 300 nm under femtosecond laser irradiation.The simulated electric field distributions for silver nanowires under femtosecond laser irradiation are provided in separate files: 60nm.txt, 200nm.txt, and 300nm.txt for diameters of 60, 200, and 300 nm, respectively, and vertical_nanowires.txt for the vertical nanowire configuration.
DOI: 10.15468/dl.kbtejp
title: Occurrence Download

description: A dataset containing 865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ammannia latifolia"
 ]
}

 The dataset includes 865 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009133-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17478082
title: EBSD and Mechanical Data for: Experimental constraints on the strength of subducting oceanic crust: a dislocation creep flow law for blueschist (glaucophane)

description: Electron Backscatter Diffraction data and mechanical data files uploaded as supplemental information.

File list includes:

EBSD data files (as .ctf text files)

   115JO.ctf

   100JO.ctf

   104JO.ctf

   103JO.ctf

Raw mechanical data files (as .ASC text files)

   JO100.ASC

   JO101.ASC

   JO102.ASC

   JO103.ASC

   JO104.ASC

   JO105.ASC

   JO152.ASC

Mechanical data corrected for rig stiffness, sample thinning, friction, and decreasing forcing-block overlap. Stresses are not corrected for solid salt medium after calibration of Holyoke and Kronenberg (2010). Data uploaded as Matlab .mat files for access with newRig (Pec, 2018; https://mpec.scripts.mit.edu/peclab/software/ )

   MechanicalData_100_101_102_103_104_105.mat

   MechanicalData_152.mat
DOI: 10.5281/zenodo.17478083
title: EBSD and Mechanical Data for: Experimental constraints on the strength of subducting oceanic crust: a dislocation creep flow law for blueschist (glaucophane)

description: Electron Backscatter Diffraction data and mechanical data files uploaded as supplemental information.

File list includes:

EBSD data files (as .ctf text files)

   115JO.ctf

   100JO.ctf

   104JO.ctf

   103JO.ctf

Raw mechanical data files (as .ASC text files)

   JO100.ASC

   JO101.ASC

   JO102.ASC

   JO103.ASC

   JO104.ASC

   JO105.ASC

   JO152.ASC

Mechanical data corrected for rig stiffness, sample thinning, friction, and decreasing forcing-block overlap. Stresses are not corrected for solid salt medium after calibration of Holyoke and Kronenberg (2010). Data uploaded as Matlab .mat files for access with newRig (Pec, 2018; https://mpec.scripts.mit.edu/peclab/software/ )

   MechanicalData_100_101_102_103_104_105.mat

   MechanicalData_152.mat
DOI: 10.15468/dl.22yr2s
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A Giant Honey Bee from the Middle Miocene of Japan (Hymenoptera: Apidae)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009134-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.30361975
title: Supporting data for "EXPANDING PROTEOME- COVERAGE : FROM MULTIDIMENSIONAL LIQUID CHROMATOGRAPHY TO BIOINFORMATIC"

description: This thesis aims to enhance the in-silico identification and experimental characterization of rare PTMs by employing innovative bioinformatics methodologies and robust multidimensional liquid chromatography separation techniques. The first section presents an adaptive and fully automated bioinformatics tool for the validation and localization of rarely occurring PTMs. Utilizing a semi-supervised approach with a linear discriminant analysis (LDA) algorithm, it enhances verification through similarity scoring of tandem mass spectrometry (MS/MS) comparisons between modified peptides and their unmodified analogs. This tool addresses the limitations of traditional false discovery rate (FDR) control methods by incorporating orthogonal criteria, thereby improving the accuracy of PTM identifications. The methodology is validated through its application to a Macaca fascicularis model of stroke, resulting in the identification and confident validation of the largest number of endogenously nitrated peptides reported to date (Chapter 3). Furthermore, i its extensibility is demonstrated by its successful application to retrieve unidentified spectra, particularly for non-tryptic peptides commonly overlooked in traditional protein database searches, which are reported to account for 75% of yet-to-be-identified spectra (Chapter 4). The second section focuses on the development and evaluation of a streamlined multidimensional liquid chromatography (MDLC) system. The existing four-dimensional RP-SA(C)X-RP system, originally requiring four switching valves, has been reengineered. The new four-dimensional platform uses just two ten-port switching valves (2V); it maintains the original chromatographic resolving power and performance while reducing operational complexity and preserving solvent compatibility across separation dimensions [Anal. Chem. 2015, 87, 10015], leading to efficient peptide separation and increased detection of acidic, hydrophilic, hydrophobic and ion-suppressed peptides (Chapter 5). Key improvements include streamlined operational steps, minimized idle time, and simplified synchronization among four individual columns with complementary separation chemistries without the need to collect large numbers of fractions offline. The efficacy of the 2V-4D system was benchmarked through the analysis of the total lysate of the S. cerevisiae model, demonstrating its analytical performance in proteomic applications.
DOI: 10.25442/hku.30361975.v1
title: Supporting data for "EXPANDING PROTEOME- COVERAGE : FROM MULTIDIMENSIONAL LIQUID CHROMATOGRAPHY TO BIOINFORMATIC"

description: This thesis aims to enhance the in-silico identification and experimental characterization of rare PTMs by employing innovative bioinformatics methodologies and robust multidimensional liquid chromatography separation techniques. The first section presents an adaptive and fully automated bioinformatics tool for the validation and localization of rarely occurring PTMs. Utilizing a semi-supervised approach with a linear discriminant analysis (LDA) algorithm, it enhances verification through similarity scoring of tandem mass spectrometry (MS/MS) comparisons between modified peptides and their unmodified analogs. This tool addresses the limitations of traditional false discovery rate (FDR) control methods by incorporating orthogonal criteria, thereby improving the accuracy of PTM identifications. The methodology is validated through its application to a Macaca fascicularis model of stroke, resulting in the identification and confident validation of the largest number of endogenously nitrated peptides reported to date (Chapter 3). Furthermore, i its extensibility is demonstrated by its successful application to retrieve unidentified spectra, particularly for non-tryptic peptides commonly overlooked in traditional protein database searches, which are reported to account for 75% of yet-to-be-identified spectra (Chapter 4). The second section focuses on the development and evaluation of a streamlined multidimensional liquid chromatography (MDLC) system. The existing four-dimensional RP-SA(C)X-RP system, originally requiring four switching valves, has been reengineered. The new four-dimensional platform uses just two ten-port switching valves (2V); it maintains the original chromatographic resolving power and performance while reducing operational complexity and preserving solvent compatibility across separation dimensions [Anal. Chem. 2015, 87, 10015], leading to efficient peptide separation and increased detection of acidic, hydrophilic, hydrophobic and ion-suppressed peptides (Chapter 5). Key improvements include streamlined operational steps, minimized idle time, and simplified synchronization among four individual columns with complementary separation chemistries without the need to collect large numbers of fractions offline. The efficacy of the 2V-4D system was benchmarked through the analysis of the total lysate of the S. cerevisiae model, demonstrating its analytical performance in proteomic applications.
DOI: 10.25442/hku.30394264
title: Supporting data for "Stability of lead- and tin- based perovskite"

description: This research generates a comprehensive dataset focused on the stability of metal halide perovskites under environmental stress. The data primarily encompasses material characterization and device performance measurements for both 3D and 2D perovskite systems, with and without strategic additive engineering.The core data includes:<b>Thin-film characterization:</b> Extensive data from X-ray diffraction (XRD) for phase structure, scanning electron microscopy (SEM) for morphology, Fourier-transform infrared spectroscopy (FTIR) for chemical group analysis, and UV-Vis spectroscopy for optical properties. These datasets track material evolution and degradation.<b>Device performance and stability:</b> Current-voltage (I-V) characterization data for perovskite solar cells, providing power conversion efficiency (PCE) and other photovoltaic parameters. Critically, this includes time-series I-V data recorded over hundreds of hours under continuous operation in high-humidity environments to quantify stability.<b>Comparative degradation study:</b> For 2D perovskites, datasets (XRD, FTIR, etc.) directly compare the degradation pathways of lead-based (A₂PbI₄) and tin-based (A₂SnI₄) analogues, highlighting differences in chemical products and pathways.The collective data provides the foundational evidence for understanding additive functions, quantifying operational stability, and elucidating material-specific degradation mechanisms.