cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-1388469283
title: 3D X-ray multislice ptychographic tomography with sparse angular measurements

description: This proposal aims at developing an advanced 3D X-ray ptychographic imaging technique that can achieve volumetric imaging with high spatial resolution and fast data acquisition. Ptychography can be extended to 3D imaging in two ways: multi-slice ptychography or ptychographic tomography. Ptychographic tomography relies on 2D ptychography to supply projections to conventional tomographic algorithms, whilst multi-slice ptychography uses the redundancy in ptychographic data to split the reconstruction into a series of axial slices. Whilst multi-slice ptychography can handle thick specimens and has a much smaller data requirement than ptychographic tomography, its depth resolution is relatively poor. Here we propose an imaging modality that combines the benefits of the two approaches, enabling isotropic 3D resolution imaging with a smaller number of angular measurements than theoretically required by 4-5 times.
DOI: 10.15151/esrf-es-1335192367
title: K-map study of the coalescence of optimized GaN nanopillars grown by Nano-Pendeo Epitaxy

description: An original method, known as Nano-Pendeo Epitaxy, has been developed for achieving low threading dislocation density (TDD) gallium nitride (GaN). It is based on the self-realignment of GaN on Si(111) nano-pillars. This study has two goals. Firstly, to understand the coalescence mechanisms. Secondly, to construct a model to predict optimal structures for low TDD layers. Measurements performed on the ID01 beamline proved that it is possible to measure the change in lattice tilt of the GaN and silicon (Si) layers before and after coalescence which proved that the growth occurs as expected. Simpler samples are needed to better understand the growth process. Using an alternative sample, insight into pillar coalescence in lines was gained through dark field X-ray microscopy measurements on ID06, but the low intensity of thin Si layers prevented examination of Si behavior. Therefore, we aim to measure the tilt and strain distribution in the Si pillars and GaN layers within optimized samples.
DOI: 10.15151/esrf-es-1335193635
title: Screening planarians for magnetite-based magnetoreceptors via SR-XRF

description: Magnetoreception, the ability to perceive geomagnetic fields, is known from various animals, including planarians. The mechanism of magnetoreception, however, is still unknown and several hypothesis are discussed. Present data supports the hypothesis that magnetic particles, like single domain crystals of magnetite (Fe3O4), are involved in magnetoreception in planarians. We suggest to screen sections of Planarians for iron deposits in specific regions of interest (ROIs) using SR-XRF. In these regions magnetic signature has been measured using MRI-QSM. Elemental mapping will allow us to test if the magnetic signature (QSM) correlates with the presence of iron, which would be indicative of magnetite-based magnetoreception. This data will provide the basis for ultrastructural investigations, immunohistological characterization and magnetic measurements of the particles to test whether they are suitable candidates for the long sought after magnetoreceptors.
DOI: 10.15151/esrf-es-1335198610
title: Unveiling local distortions in a putative rock salt high entropy oxide by RIXS

description: High entropy oxides with rock salt structure have been recently discovered and hold significant potential for applications in energy storage and catalysis. The high configurational entropy arising from the mixed occupation of the cation site is thought to compensate the unfavourable enthalpy of solution of CuO, due to the suppression, in the cubic structure, of the intrinsic Jahn-Teller effect of d9 Cu(II) ions. XRD and EXAFS measurements of Mg0.2Co0.2Ni0.2Cu0.2Zn0.2O seem to evidence a departure from the cubic structure at 300 °C, and possibly already at room temperature, but are not conclusive. We, therefore, propose to determine the local symmetry at the Co, Ni and Cu sites by means of RIXS in order to better clarify the role of configurational entropy in Mg0.2Co0.2Ni0.2Cu0.2Zn0.2O and possibly other high entropy oxides.
DOI: 10.15151/esrf-es-1372861502
title: Inhouse research

description: SAXS measurements on different surfactant and protein samples.
DOI: 10.15151/esrf-es-1388214242
title: Depth-scanning ceramics using submicron spatial resolution

description: Ceramic pellets with different structure between surface and bulk are scanned with a 0.5x100 micron beam
DOI: 10.15151/esrf-es-1340553609
title: The “skin” of the lithium : operando analysis of the passive layer formation

description: Energy storage devices are essential components for the incoming massive electrification of the car fleet. “Anode-free” battery is the holy grail in battery research domain, where the only source of lithium is initially present in the positive electrode material (e.g. LiNMC). A simple copper current collector is used at the negative side to ensure the Li plating. In this work, we propose to investigate the formation and properties of the SEI as function of the (negative) electrode potential (1 to 0 V vs Li+/Li) in operando mode coupling grazing incidence X-ray scattering techniques with electrochemical impedance spectroscopy (EIS). Additionally, nucleation and growth of lithium (orientation, size, texture) will be analyzed by further decreasing the applied potential below 0 V vs Li+/Li. Finally, the potential will be relaxed, and the kinetics of the corrosion process (nuclei dissolution) will be characterized.
DOI: 10.15151/esrf-es-1334152573
title: Direct pathway towards long-chain alcohols and olefins by FTS - Atomistic origin of Mn promotion in Co-based FTS catalysts

description: Recently, it was discovered that the presence of manganese (Mn) in cobalt (Co)-based Fischer-Tropsch (FT) catalysts can shift the selectivity of products from traditional FT products to long chain alcohols in syngas mixtures (CO+H2). Using surface organometallic chemistry, which has proven effective for synthesizing model catalysts for various reactions, we created Mn-doped Co nanoparticles on TiO2 with tailored surfaces and interfaces to investigate the origin of this Mn effect. We wish to use ex situ and in situ X-ray absorption spectroscopy to understand the interplay between Co and Mn. By combining in situ XAS with other spectroscopic, microscopic, and physico-chemical techniques, and by linking to catalytic data, we hope to better comprehend the Mn effect. As Mn has gained attention as a promoter in various catalytic systems, this study is of interest to a broader audience in heterogeneous catalysis.
DOI: 10.5281/zenodo.10074125
title: Data Excel File of APEDA products, Tobacco, Spices, Tea and Coffee in India
DOI: 10.5281/zenodo.10074124
title: Data Excel File of APEDA products, Tobacco, Spices, Tea and Coffee in India
DOI: 10.15151/esrf-es-1334151065
title: In situ study of the redox interaction between iron and cerium in silicate melts

description: Redox reactions play a crucial role in magma geochemistry influencing several phenomena. Mineral-melt partitionning is such a phenomenom and serves as an oxybarometeter for magmatic systems. Cerium displays mineral-melt partitionning into zircon even though the access of reduced Iron in magmetic systems should forbid the Cerium oxydation, at the core of its mineral-melt partitionning. One hypothesis developed in the litterature is the presence of a charge-transfer reaction between Cerium and Iron occuring during quench. Even though similar charge transfers have been observed between different elements, the charge transfer between Cerium and Iron is only suspected. We will investigate in situ the redox state of both Cerium and Iron at high temperature in silicate melts using Cerium L3-edge XANES spectroscopy and Iron K-edge XANES spectroscopy. This will allow us to assess if the redox interaction is of charge transfer nature or a diffusive process.
DOI: 10.15151/esrf-es-1334153066
title: Towards extensive comprehension of Stress Assisted Grain Boundary Oxidation in Ni superalloys - strain localization and crack evolution

description: Ni superalloys are known for their outstanding performance under harsh environments. They can, however, suffer from stress corrosion cracking (SCC) when their applications involve high temperature, oxidative media, and mechanical loading. Stress Assisted Grain Boundary Oxidation (SAGBO) shares the same degradation patterns in a way to mimic such SCC degradation in time scales that are compatible with laboratory experiments. Therefore we propose an experiment to perform an in-situ analysis of SAGBO using 3D bulk characterization techniques. We intend to have initial grain maps obtained by diffraction contrast tomography, a time-lapse of phase contrast tomography volumes to feed digital image correlation routines and compare to the results of strain fields obtained by far-field X ray diffraction techniques.
DOI: 10.15151/esrf-es-1334157418
title: Operando X-Ray Study to Unravel the Structure-Performance Relationships of W/ZSM-5 in Methane Dehydroaromatization

description: Mo/ZSM-5 has been widely studied in literature for methane dehydroaromatization. However, the Mo/ZSM-5 catalyst deactivates quickly due to surface coke formation and the formation of MoCx particles during the reaction. Alternative transition metals such as W, V, Cr, and Fe that have been proven their ability to convert methane into aromatics are being studied to gain a better understanding of their function. In this study, we want to establish structure-performance relationships of W/ZSM-5 during the MDA process. This catalyst can achieve similar benzene yields as Mo/ZSM-5, but there is a knowledge gap on the structural evolution of W/ZSM-5 during both the activation of the catalyst and the reaction itself. This operando HERFD XANES/XES study will yield essential information on the evolution of the W sites under reaction conditions. Combining these results with online catalytic performance measurements will gain new insights in the field of methane conversion into valuable compounds.
DOI: 10.15151/esrf-es-1337408402
title: 3D X-ray multislice ptychographic tomography with sparse angular measurements

description: This proposal aims at developing an advanced 3D X-ray ptychographic imaging technique that can achieve volumetric imaging with high spatial resolution and fast data acquisition. Ptychography can be extended to 3D imaging in two ways: multi-slice ptychography or ptychographic tomography. Ptychographic tomography relies on 2D ptychography to supply projections to conventional tomographic algorithms, whilst multi-slice ptychography uses the redundancy in ptychographic data to split the reconstruction into a series of axial slices. Whilst multi-slice ptychography can handle thick specimens and has a much smaller data requirement than ptychographic tomography, its depth resolution is relatively poor. Here we propose an imaging modality that combines the benefits of the two approaches, enabling isotropic 3D resolution imaging with a smaller number of angular measurements than theoretically required by 4-5 times.
DOI: 10.5281/zenodo.10074154
title: ANEMIA DEVELOPING IN VIRAL HEPATITIS B AND C

description: The prevalence and steady growth of liver diseases among the population is one of the urgent and serious problems of modern medicine.
Hepatitis V and C viruses are one of the most common parenterally transmitted infections today and remain the main cause of chronic liver diseases. Hepatitis is widespread in the working class of the population, that is, among people aged 30 to 50 years, especially among men more often than women, the infection is chronic in about 80% of patients, and the rate of development of liver disease in 15-20% of cases passes to the terminal stage in an average of 20 years. , moreover, the fact that chronic hepatitis occurs with clinical symptoms other than the liver means that this disease is not only a medical but also an important economic and social problem.
DOI: 10.15151/esrf-es-1383209965
title: oxidation state in Gd doped CeO2

description: oxidation state in Gd doped CeO2
DOI: 10.5281/zenodo.10074153
title: ANEMIA DEVELOPING IN VIRAL HEPATITIS B AND C

description: The prevalence and steady growth of liver diseases among the population is one of the urgent and serious problems of modern medicine.
Hepatitis V and C viruses are one of the most common parenterally transmitted infections today and remain the main cause of chronic liver diseases. Hepatitis is widespread in the working class of the population, that is, among people aged 30 to 50 years, especially among men more often than women, the infection is chronic in about 80% of patients, and the rate of development of liver disease in 15-20% of cases passes to the terminal stage in an average of 20 years. , moreover, the fact that chronic hepatitis occurs with clinical symptoms other than the liver means that this disease is not only a medical but also an important economic and social problem.
DOI: 10.26186/149028
title: SI 1018 Great North East Channel (South-West), Torres Strait, QLD (HIPP) Bathymetry Acquisition (20220010S)

description: The Great North East Channel (South-West), Torres Strait bathymetry survey was acquired for the Australian Hydrographic Office (AHO) onboard the MV Sea Ranger and the SMB Independence during the period 26 Jan 2022 – 13 Apr 2022. This was a contracted survey conducted for the Australian Hydrographic Office by EGS Survey Pty. Ltd. as part of the Hydroscheme Industry Partnership Program. The survey area encompases an area in Torres Strait, Queensland. Bathymetry data was acquired using a Kongsberg EM2040C and a Kongsberg EM2040P, and processed using QPS Qimera processing software. The dataset was then exported as a 30m resolution, 32 bit floating point GeoTIFF grid of the survey area.This dataset is not to be used for navigational purposes.
DOI: 10.6084/m9.figshare.24503956
title: Data for Thoracic Paravertebral Waveform Research

description: Dataset for the study: Waveform Characteristics in Thoracic Paravertebral Space: A Prospective Observational Study
DOI: 10.6084/m9.figshare.24503956.v1
title: Data for Thoracic Paravertebral Waveform Research

description: Dataset for the study: Waveform Characteristics in Thoracic Paravertebral Space: A Prospective Observational Study
DOI: 10.6084/m9.figshare.24503986
title: Data for Thoracic Paravertebral Waveform Research

description: Dataset for the study: Waveform characteristics in thoracic paravertebral space: a prospective observational study
DOI: 10.6084/m9.figshare.24503986.v1
title: Data for Thoracic Paravertebral Waveform Research

description: Dataset for the study: Waveform characteristics in thoracic paravertebral space: a prospective observational study
DOI: 10.6084/m9.figshare.24503989
title: Morphometry of gracilis

description: It is believed that the morphological data of the gracilis and its neurovascular pedicles will be enlightening to the operating surgeon. They will guide in the procedures of reconstructive plastic surgeries.
DOI: 10.6084/m9.figshare.24503989.v1
title: Morphometry of gracilis

description: It is believed that the morphological data of the gracilis and its neurovascular pedicles will be enlightening to the operating surgeon. They will guide in the procedures of reconstructive plastic surgeries.
DOI: 10.25592/uhhfdm.13637
title: Temporal Model XLM-RoBERTa-Base_Tweets

description: Temporal Model "XLM-RoBERTa-Base" finetuned on the "Tweets" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13635
title: Temporal Model XLM-RoBERTa-Base_WikiWars

description: Temporal Model "XLM-RoBERTa-Base" finetuned on the "WikiWars" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13636
title: Temporal Model XLM-RoBERTa-Base_Tweets

description: Temporal Model "XLM-RoBERTa-Base" finetuned on the "Tweets" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13631
title: Temporal Model XLM-RoBERTa-Base_TempEval-3

description: Temporal Model "XLM-RoBERTa-Base" finetuned on the "TempEval-3" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13633
title: Temporal Model XLM-RoBERTa-Base_Fullpate

description: Temporal Model "XLM-RoBERTa-Base" finetuned on the "Fullpate" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13634
title: Temporal Model XLM-RoBERTa-Base_WikiWars

description: Temporal Model "XLM-RoBERTa-Base" finetuned on the "WikiWars" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13632
title: Temporal Model XLM-RoBERTa-Base_Fullpate

description: Temporal Model "XLM-RoBERTa-Base" finetuned on the "Fullpate" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13629
title: Temporal Model RoBERTa-Large_Tweets

description: Temporal Model "RoBERTa-Large" finetuned on the "Tweets" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13630
title: Temporal Model XLM-RoBERTa-Base_TempEval-3

description: Temporal Model "XLM-RoBERTa-Base" finetuned on the "TempEval-3" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13627
title: Temporal Model RoBERTa-Large_WikiWars

description: Temporal Model "RoBERTa-Large" finetuned on the "WikiWars" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13628
title: Temporal Model RoBERTa-Large_Tweets

description: Temporal Model "RoBERTa-Large" finetuned on the "Tweets" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13625
title: Temporal Model RoBERTa-Large_Fullpate

description: Temporal Model "RoBERTa-Large" finetuned on the "Fullpate" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13626
title: Temporal Model RoBERTa-Large_WikiWars

description: Temporal Model "RoBERTa-Large" finetuned on the "WikiWars" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13624
title: Temporal Model RoBERTa-Large_Fullpate

description: Temporal Model "RoBERTa-Large" finetuned on the "Fullpate" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13623
title: Temporal Model RoBERTa-Large_TempEval-3

description: Temporal Model "RoBERTa-Large" finetuned on the "TempEval-3" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13622
title: Temporal Model RoBERTa-Large_TempEval-3

description: Temporal Model "RoBERTa-Large" finetuned on the "TempEval-3" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13619
title: Temporal Model UIE-Large_Tweets

description: Temporal Model "UIE-Large" finetuned on the "Tweets" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13617
title: Temporal Model UIE-Large_WikiWars

description: Temporal Model "UIE-Large" finetuned on the "WikiWars" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13618
title: Temporal Model UIE-Large_Tweets

description: Temporal Model "UIE-Large" finetuned on the "Tweets" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13621
title: Temporal Model UIE-Large_Fullpate

description: Temporal Model "UIE-Large" finetuned on the "Fullpate" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13616
title: Temporal Model UIE-Large_WikiWars

description: Temporal Model "UIE-Large" finetuned on the "WikiWars" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13620
title: Temporal Model UIE-Large_Fullpate

description: Temporal Model "UIE-Large" finetuned on the "Fullpate" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13615
title: Temporal Model UIE-Large_TempEval-3

description: Temporal Model "UIE-Large" finetuned on the "TempEval-3" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13614
title: Temporal Model UIE-Large_TempEval-3

description: Temporal Model "UIE-Large" finetuned on the "TempEval-3" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13595
title: Temporal Model UIE-Base_WikiWars

description: Temporal Model "UIE-Base" finetuned on the "WikiWars" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".