cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1017590.09fu
title: SH1017590.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/fxw9y6m6v9.1
title: Mass spectrometry dataset 23.4.3

description: Mass spectrometry dataset 23.4.3
DOI: 10.15156/bio/sh1017591.09fu
title: SH1017591.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1017592.09fu
title: SH1017592.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/w78ft82ndv.1
title: Original western blots related to FIG.1-7 and supplementary figure

description: Original western blots related to FIG.1-7 and supplementary figure
DOI: 10.15156/bio/sh1017593.09fu
title: SH1017593.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1017594.09fu
title: SH1017594.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1017595.09fu
title: SH1017595.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/gsm53nrgvb.1
title: (Dataset) Innovative Technologies for Safety and Health Occupational 

description: Scoping Review Dataset on Innovative Technologies for Occupational Safety and Health
DOI: 10.15156/bio/sh1017596.09fu
title: SH1017596.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1017597.09fu
title: SH1017597.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/k5yk4j8z8s.4
title: BDSL 49: A Comprehensive Dataset of Bengali Sign Language

description: This dataset contains images of Bengali sign language.  This collection of images represents the Bengali sign language. 14 Bangladeshi adults created and annotated the dataset. The existing Bengali sign language datasets lack adequate and diverse image samples to develop real-life expert systems. As a result, a dataset encompassing all facets of real-world usable signs is necessary. This results in the creation of a comprehensive dataset for Bengali sign language. The proposed dataset contains two sections. The first section involves training a detection model, while the second involves training a recognition model. Both sections feature a wide variety of images taken in a variety of backgrounds and lighting circumstances, with the first section featuring a full-frame image with annotation and the second featuring a cropped image with only the signs. Each section contains 14,714 images separated into 49 classes, for a total of 29,428 images in the dataset.
DOI: 10.17632/k5yk4j8z8s.5
title: BDSL 49: A Comprehensive Dataset of Bengali Sign Language

description: This dataset contains images of Bengali sign language.  This collection of images represents the Bengali sign language. 14 Bangladeshi adults created and annotated the dataset. The existing Bengali sign language datasets lack adequate and diverse image samples to develop real-life expert systems. As a result, a dataset encompassing all facets of real-world usable signs is necessary. This results in the creation of a comprehensive dataset for Bengali sign language. The proposed dataset contains two sections. The first section involves training a detection model, while the second involves training a recognition model. Both sections feature a wide variety of images taken in a variety of backgrounds and lighting circumstances, with the first section featuring a full-frame image with annotation and the second featuring a cropped image with only the signs. Each section contains 14,714 images separated into 49 classes, for a total of 29,428 images in the dataset.
DOI: 10.17632/k5yk4j8z8s.1
title: BDSL49: A Comprehensive Dataset of Bengali Sign Language

description: This dataset contains images of Bengali sign language.  This collection of images represents the Bengali sign language. 14 Bangladeshi adults created and annotated the dataset. The existing Bengali sign language datasets lack adequate and diverse image samples to develop real-life expert systems. As a result, a dataset encompassing all facets of real-world usable signs is necessary. This results in the creation of a comprehensive dataset for Bengali sign language. The proposed dataset contains two sections. The first section involves training a detection model, while the second involves training a recognition model. Both sections feature a wide variety of images taken in a variety of backgrounds and lighting circumstances, with the first section featuring a full-frame image with annotation and the second featuring a cropped image with only the signs. Each section contains 14,714 images separated into 49 classes, for a total of 29,428 images in the dataset.
DOI: 10.17632/k5yk4j8z8s.2
title: BDSL 49: A Comprehensive Dataset of Bengali Sign Language

description: This dataset contains images of Bengali sign language.  This collection of images represents the Bengali sign language. 14 Bangladeshi adults created and annotated the dataset. The existing Bengali sign language datasets lack adequate and diverse image samples to develop real-life expert systems. As a result, a dataset encompassing all facets of real-world usable signs is necessary. This results in the creation of a comprehensive dataset for Bengali sign language. The proposed dataset contains two sections. The first section involves training a detection model, while the second involves training a recognition model. Both sections feature a wide variety of images taken in a variety of backgrounds and lighting circumstances, with the first section featuring a full-frame image with annotation and the second featuring a cropped image with only the signs. Each section contains 14,714 images separated into 49 classes, for a total of 29,428 images in the dataset.
DOI: 10.17632/k5yk4j8z8s.3
title: BDSL 49: A Comprehensive Dataset of Bengali Sign Language

description: This dataset contains images of Bengali sign language.  This collection of images represents the Bengali sign language. 14 Bangladeshi adults created and annotated the dataset. The existing Bengali sign language datasets lack adequate and diverse image samples to develop real-life expert systems. As a result, a dataset encompassing all facets of real-world usable signs is necessary. This results in the creation of a comprehensive dataset for Bengali sign language. The proposed dataset contains two sections. The first section involves training a detection model, while the second involves training a recognition model. Both sections feature a wide variety of images taken in a variety of backgrounds and lighting circumstances, with the first section featuring a full-frame image with annotation and the second featuring a cropped image with only the signs. Each section contains 14,714 images separated into 49 classes, for a total of 29,428 images in the dataset.
DOI: 10.15151/esrf-es-1059600965
title: Austrian Crystallographic Diffraction Consortium

description: This proposed Austrian Crystallographic.... TO BE FILLED IN
DOI: 10.15151/esrf-es-1087745002
title: Order-disorder Transitions in Tetrafluoroborate Salts - Investigation into Structural Stabilities over Many Temperature Cycling

description: Solid-solid transitions occur from room temperature ordered phases to orientationally disordered high-temperature phases that lie at the boundary between liquids and solids. Solid-solid phase-change materials (SSPCMs) can be potentially used for next generation thermal energy storage devices, as they present several advantages over solid-liquid PCMs including safety (no spillage of hot liquid), lower thermal expansion, lower corrosiveness, and no need for encapsulation. Adoption of SSPCMs for practical applications require detailed understanding of both thermodynamic and kinetic disordering. The proposal will investigate two tetrafluoroborate salts with high latent heat of phase transitions. KBF4 and NaBF4 undergo order-disorder transitions at 285 ℃ and 230 ℃ with ΔH =120 J/g and 70 J/g, respectively. Variable-temperature powder x-ray diffraction (PXRD) will be conducted to elucidate long-range structural changes over many temperature cycling (heating/cooling).
DOI: 10.15151/esrf-es-1087746802
title: In-situ multiscale X-ray tomography of new hybrid porous bone scaffolds formed by freeze-casting colloidal suspensions and used in mandibula

description: Maxillofacial surgeries require centimeters cube medical implants for bone reconstruction. We develop a new type of composite from a original “bricks & mortar" approach starting from bioactive glass nanoparticles (bricks) functionalized with customized polymers (PDLLA, poly (lactic acid), mortar). The particles are then dispersed in solution before a freeze-casting process that leads to a porous and bioactive material suitable for surgery. The in-situ growth process and multiscale morphology of the scaffolds can only be studied by conducting in-situ X-ray tomography. We plan 1) static multi-resolution phase contrast tomography to characterize both the macro-structure and the particles density over the material; 2) fast phase contrast tomography operando freeze-casting experiments by cooling the solid/solution interface using a dedicated X-ray tomography users-sample environment; 3) in-situ phase contrast tomography of mechanically loaded samples using the tomopress available at ID19.
DOI: 10.15151/esrf-es-1086116615
title: Creep, Yielding, and Resolidification of Colloidal Suspensions under in situ Constant Stress

description: This project aims to combine Rheology, Small Angle X-ray Scattering, and X-ray Photon Correlation Spectroscopy (Rheo-SAXS-XPCS) to measure the velocity profiles in the process of creep, yielding, and resolidification in colloidal suspensions under constant stress. in situ Rheo-SAXS-XPCS provides experimental evidence for a direct link between attractive interactions and macroscopic rheological properties, such as rheological hysteresis and shear banding. In situ Rheology, SAXS and XPCS will be used to connect the microscopic structure and dynamics to the macroscopic mechanical properties.
DOI: 10.15151/esrf-es-1085101724
title: Unveiling the structural evolution of pillared graphene-based electrodes for supercapacitors during cycling by combined Operando SAXS/WAXS

description: We have developed pillared graphene-based materials showing promising interests for supercapacitors (SCs) applications. These materials have a complex structure resulting from the coexistence of graphene sheets restacked in graphite-like arrangement and graphene sheets spaced out using a molecular pillar controlling the inter-sheet distance and providing valuable electrolytic ions adsorption site. With the aim of identifying and understanding the adsorption mechanisms at play in the charge/discharge stages it is essential to follow the evolution of both the structure and the porosity upon polarization and cycling. However, such operando investigations necessitate synchrotron beam. Indeed, compared to batteries, SCs have much faster cycling kinetics which are incompatible with the typical required counting times of lab diffractometers. Operando SAXS/WAXS measurements using synchrotron radiation are therefore of prime interest to reveal time-resolved multi-scale structural evolution.
DOI: 10.15151/esrf-es-1085106659
title: Structural characterization of alkali halides with polyhalogen anions using single-crystal X-ray diffraction at high pressure

description: The bonding concepts in polyhalogen anions is of great interest because of its central importance in chemistry. However, the database of polyhalogen anions is very limited to have a general concept of their chemical bonding, formation laws, and physical properties. At the same time, considering alkali halides is acting as excellent examples of how pressure enriches chemistry and provides ideas for novel optical and energy converting materials, a huge number of theoretical calculations suggest the existence of the exciting world featuring polyhalogen anions. However, very few of them have been experimentally confirmed. Investigation of the alkali halides with polyhalogen anions with unconventional stoichiometry allows not only to develop new high-pressure fundamental chemistry, but also to produce novel materials which often possess important mechanical, optical, electronic, and other physical properties, and could be of interest for potential technological applications.
DOI: 10.15151/esrf-es-1085107764
title: Nanoscale biosignatures in gypsiferous deposits: implications for Life detection on Earth & Mars

description: Gypsum stromatolites(GS) make excellent paradigms for the investigation of fine-scale mineral-microbial interactions and for the detection of Life remnants in gypsiferous deposits of Earth and Mars. In this framework and in light of NASA and ESA space missions targeting past traces of Life on Mars, we are studying the geomicrobiology of living and fossil GS from a terrestrial Martian analogue-site at the drylands of Ethiopia (Bakili Lake, Danakil Depression). To map the distribution and characterize the chemical content and structure of micro-/nano-sized inorganic and organic biosignatures preserved in GS we will use SXM combined with multi-elemental μXRF 2D mapping and micro-spectroscopy, i.e., S & P K-edge μXANES, utilizing the unique technical capabilities of the upgraded ID21. Given no such experiments have been previously performed in gypsiferous sediments, we aspire that these results will provide new insights on biosignatures detection in the evaporitic record of Earth & Mars.
DOI: 10.15156/bio/sh1017598.09fu
title: SH1017598.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15151/esrf-es-1084466777
title: Effect of SiOx composition on the durability of anodes for next-generation Li-ion batteries

description: Lithium-ion batteries require components with higher energy density and longer cycle life. SiOx is a promising alternative for high capacity anode materials. However, it suffers from low conductivity and low initial Coulombic efficiency. Considering the high Coulombic of graphite material, some studies found that SiOx/graphite can effectively improve the electrochemical performance of the whole anode. However, SiOx would expand in lithium insertion process, leading to pulverization of the active material, resulting in rapid capacity fade. SiOx volume expansion in SiOx/graphite anodes can be controlled by adjusting the oxygen content on SiOx, and the effect of SiOx expansion can be successfully followed by investigating induced changes on the graphite structure. This is crucial to quantify the effect of stoichiometry of SiOx oxides on the stability of the anode from early stages and to design functional anodes that can preserve the mechanical properties after prolonged cycling.