cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24088792.v1
title: Comprehensive elemental screening of solid-solution copper alloys

description: Significantly improving the balance between the mechanical strength and electrical conductivity of solid-solution copper alloys is considered difficult. In this study, a comprehensive elemental screening framework is proposed to predict the solid-solution strengthening and electrical resistivity of copper alloys. Electrical resistivities are predicted by first-principles calculations, and a high degree of accuracy is obtained. Two models are considered to predict the solid-solution strengthening. One of them uses the generalized critical resolved shear stress formula and provides a reasonable accuracy for a testing set of our experimental data. The other model (using the first model as a feature with elemental features) has a high prediction performance for the testing set. Combining the predicted electrical resistivity and solid-solution strengthening, we establish a figure-of-merit formula for the comprehensive elemental screening. The formula provides reasonable results using the two models. The models predicted the known Cu–Ag (Cd, In, Mg) as high-performance copper alloys. All solute elements, H to Rn, including hypothetical copper alloys are ranked, and the less studied Cu–Au, –Hg, and –Tl are predicted to be high-performance structures. From economic, environmental, and healthcare perspectives, Cu–Mg is an appropriate choice according to the results. For designing the balance between mechanical strength and electrical conductivity of solid-solution copper alloys, a figure-of-merit formula using theoretical formula, first-principles calculations, experimental data, and machine learning is established.
DOI: 10.6084/m9.figshare.23599123
title: Cylindrically symmetric rotating crystals observed in crystallization process of InSiO film

description: The Kikuchi bands arise from Bragg diffraction of incoherent electrons scattered within a crystalline specimen and can be observed in both the transmission and reflection modes of scanning electron microscopy (SEM). Converging, rocking, or grazing incidence beams must be used to generate divergent electron sources to obtain the Kikuchi pattern. This paper report the observation of Kikuchi pattern from SEM images of an exceptional rotating crystal with continuous rotation in the local crystal direction and satisfying cylindrical symmetry, named a cylindrically symmetric rotating crystal. By retracing the Kikuchi line pattern, it is possible to obtain the lattice structure information of the presented sample from the conventional SEM images. SEM images of cylindrically symmetric rotating crystals reflect the interactions between electrons and the sample in both the real- and momentum-space. It is a very interesting and representative new case for the study of the contrast mechanism in SEM. Unveiling a unique rotating crystal, the study expands the understanding of scanning electron microscopy (SEM) contrast mechanisms by simultaneously capturing real-space morphology and momentum-space lattice information in a single image.
DOI: 10.6084/m9.figshare.23599123.v1
title: Cylindrically symmetric rotating crystals observed in crystallization process of InSiO film

description: The Kikuchi bands arise from Bragg diffraction of incoherent electrons scattered within a crystalline specimen and can be observed in both the transmission and reflection modes of scanning electron microscopy (SEM). Converging, rocking, or grazing incidence beams must be used to generate divergent electron sources to obtain the Kikuchi pattern. This paper report the observation of Kikuchi pattern from SEM images of an exceptional rotating crystal with continuous rotation in the local crystal direction and satisfying cylindrical symmetry, named a cylindrically symmetric rotating crystal. By retracing the Kikuchi line pattern, it is possible to obtain the lattice structure information of the presented sample from the conventional SEM images. SEM images of cylindrically symmetric rotating crystals reflect the interactions between electrons and the sample in both the real- and momentum-space. It is a very interesting and representative new case for the study of the contrast mechanism in SEM. Unveiling a unique rotating crystal, the study expands the understanding of scanning electron microscopy (SEM) contrast mechanisms by simultaneously capturing real-space morphology and momentum-space lattice information in a single image.
DOI: 10.21233/wshn-ye36
title: Stoners Creek [40DV119] vertebrate fauna dataset

description: Raw data for the Stoners Creek [40DV119] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.24512017
title: Improvements of birefringence imaging techniques to observe stress-induced ferroelectricity in SrTiO<sub>3</sub> based on <i>K</i>-means clustering with circular statistics

description: Optical birefringence imaging techniques have enabled quantitative evaluation of macroscopic structures, e.g. domains and grain boundaries. With inhomogeneous samples, the selection of regions for analysis can significantly affect the conclusions; thus, arbitrary selection can lead to inaccurate findings. Thus, in this study, we present a method to cluster all birefringence imaging data using <i>K</i>-means multivariate clustering on a pixel-by-pixel basis to eliminate arbitrariness in the region selection process. Linear statistics cannot be applied to the polarization states of light described by angles and their periodicity; thus, circular statistics are used for clustering. By applying this approach to a 42,280-pixel image comprising 12 explanatory variables of stress-induced ferroelectricity in SrTiO<sub>3</sub>, we were able to select a region of locally developed spontaneous polarization. This region covers only 1.9% of the total area, where the stress and/or strain is concentrated, thereby resulting in a higher ferroelectric phase transition temperature and larger spontaneous polarization than in the other regions. The <i>K</i>-means multivariate clustering with circular statistics is shown to be a powerful tool to eliminate arbitrariness. The proposed method is a significant analysis technique that can be applied to images using the polarization of light, azimuthal angle of crystals, scattering angle. Multimodal birefringence imaging data represented by angles and their periodicities were clustered by K-means method using circular statistics. We successfully selected large spontaneous polarization area without arbitrariness in analysis process.
DOI: 10.6084/m9.figshare.24512017.v1
title: Improvements of birefringence imaging techniques to observe stress-induced ferroelectricity in SrTiO<sub>3</sub> based on <i>K</i>-means clustering with circular statistics

description: Optical birefringence imaging techniques have enabled quantitative evaluation of macroscopic structures, e.g. domains and grain boundaries. With inhomogeneous samples, the selection of regions for analysis can significantly affect the conclusions; thus, arbitrary selection can lead to inaccurate findings. Thus, in this study, we present a method to cluster all birefringence imaging data using <i>K</i>-means multivariate clustering on a pixel-by-pixel basis to eliminate arbitrariness in the region selection process. Linear statistics cannot be applied to the polarization states of light described by angles and their periodicity; thus, circular statistics are used for clustering. By applying this approach to a 42,280-pixel image comprising 12 explanatory variables of stress-induced ferroelectricity in SrTiO<sub>3</sub>, we were able to select a region of locally developed spontaneous polarization. This region covers only 1.9% of the total area, where the stress and/or strain is concentrated, thereby resulting in a higher ferroelectric phase transition temperature and larger spontaneous polarization than in the other regions. The <i>K</i>-means multivariate clustering with circular statistics is shown to be a powerful tool to eliminate arbitrariness. The proposed method is a significant analysis technique that can be applied to images using the polarization of light, azimuthal angle of crystals, scattering angle. Multimodal birefringence imaging data represented by angles and their periodicities were clustered by K-means method using circular statistics. We successfully selected large spontaneous polarization area without arbitrariness in analysis process.
DOI: 10.6084/m9.figshare.23554914
title: Structuring superconductor data with ontology: reproducing historical datasets as knowledge bases

description: Applying historical human-readable databases to recent data-driven science is a natural concept. However, this cannot be realized by simply converting a database into a tabular format because the meaning of each table column and the relationships between columns need to be rewritten in a machine-readable format. In particular, eliminating implicit notations that can only be understood by experts in the fields covered by each database and making them machine-readable under a unified academic system is necessary when integrating data across fields with a view to solving specific social issues and social implementation. In this study, we constructed a superconducting materials ontology for SuperCon, a legacy superconductor database that was recently republished as a datasheet, based on the well-known Basic Formal Ontology (BFO) top ontology, and designed a schema for material composition, structure, properties, and processes, among others. Using this schema, we constructed and published the Resource Description Framework (RDF) for each instance in the SuperCon datasheet. We also discuss the machine-readable format of data common to materials science discovered in this process.
DOI: 10.6084/m9.figshare.23554914.v1
title: Structuring superconductor data with ontology: reproducing historical datasets as knowledge bases

description: Applying historical human-readable databases to recent data-driven science is a natural concept. However, this cannot be realized by simply converting a database into a tabular format because the meaning of each table column and the relationships between columns need to be rewritten in a machine-readable format. In particular, eliminating implicit notations that can only be understood by experts in the fields covered by each database and making them machine-readable under a unified academic system is necessary when integrating data across fields with a view to solving specific social issues and social implementation. In this study, we constructed a superconducting materials ontology for SuperCon, a legacy superconductor database that was recently republished as a datasheet, based on the well-known Basic Formal Ontology (BFO) top ontology, and designed a schema for material composition, structure, properties, and processes, among others. Using this schema, we constructed and published the Resource Description Framework (RDF) for each instance in the SuperCon datasheet. We also discuss the machine-readable format of data common to materials science discovered in this process.
DOI: 10.21233/ryfz-4b20
title: Misery Lake pollen surface sample dataset

description: Raw data for the Misery Lake pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hefk-fj66
title: Cheyenne water chemistry dataset

description: Raw data for the Cheyenne water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/nwx1-y669
title: Hole Bog testate amoebae dataset

description: Raw data for the Hole Bog testate amoebae dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/zpaw-4k10
title: Wally Creek testate amoebae surface sample dataset

description: Raw data for the Wally Creek testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/j2ge-t441
title: MRT212 pollen surface sample dataset

description: Raw data for the MRT212 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/7z4s-v043
title: Lake Chemung diatom surface sample dataset

description: Raw data for the Lake Chemung diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/69tf-yq71
title: Chain Lake water chemistry dataset

description: Raw data for the Chain Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.7y2ttf
title: Occurrence Download

description: A dataset containing 838 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pond macrophyte data from the Neu-Woerr and Silene study sites of the EMYS-R project"
 ]
}

 The dataset includes 838 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021579-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/e4gv-zw39
title: Chlebowo testate amoebae surface sample dataset

description: Raw data for the Chlebowo testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21227/r8v1-7334
title: "LLM-RIMSA: Large Language Models driven Reconfgurable Intelligent Metasurface Antenna Systems"

description: "The LLM-RIMSA dataset, designed to advance 6G networks through ultra-massive connectivity and intelligent radio environments. The dataset is built around a novel framework that integrates large language models (LLMs) with a reconfigurable intelligent metasurface antenna (RIMSA) architecture. This integration addresses limitations in hardware efficiency, dynamic control, and scalability seen in existing RIS technologies.  "
DOI: 10.21233/pjar-ff20
title: Tuckertown Reservoir water chemistry dataset

description: Raw data for the Tuckertown Reservoir water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ex8f-w212
title: LDDsite1414 water chemistry dataset

description: Raw data for the LDDsite1414 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/2twd-dr56
title: LDDsite1362 ostracode surface sample dataset

description: Raw data for the LDDsite1362 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.vyjsx5
title: Occurrence Download

description: A dataset containing 16431362 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NABU|naturgucker"
 ]
}

 The dataset includes 16431362 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021572-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/rjq5-n759
title: Elkhorn Lake diatom surface sample dataset

description: Raw data for the Elkhorn Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hepe-pa24
title: Emerald Lake diatom surface sample dataset

description: Raw data for the Emerald Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.48us36
title: Occurrence Download

description: A dataset containing 7916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anethum graveolens L.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 7916 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021580-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.us5aer
title: Occurrence Download

description: A dataset containing 389 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lysmata amboinensis (De Man, 1888)"
 ]
}

 The dataset includes 389 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021582-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/98k4-8491
title: Cascade Fen [Engineer Mountain Bog] pollen surface sample dataset

description: Raw data for the Cascade Fen [Engineer Mountain Bog] pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.6pwtwh
title: Occurrence Download

description: A dataset containing 389 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lysmata amboinensis (De Man, 1888)"
 ]
}

 The dataset includes 389 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021581-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/jjan-sf07
title: Kumpak114 pollen surface sample dataset

description: Raw data for the Kumpak114 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/50pn-c545
title: Baldwin Peninsula 1 [AKKTZ-VP] vertebrate fauna dataset

description: Raw data for the Baldwin Peninsula 1 [AKKTZ-VP] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/3s5d-cs95
title: Giblin's Farm water chemistry dataset

description: Raw data for the Giblin's Farm water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/822r-8j67
title: Lake Racou pollen dataset

description: Raw data for the Lake Racou pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/1j5b-p424
title: Talamancas pollen surface sample dataset

description: Raw data for the Talamancas pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.pxtuza
title: Occurrence Download

description: A dataset listing the 115 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Notacanthiformes"
 ]
}

 The dataset's 115 records were derived from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021575-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/gpst-1z45
title: Ogallala Lake water chemistry dataset

description: Raw data for the Ogallala Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.