cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28740659
title: <b>What is the difference of spatial visual attention and </b><b>spatial </b><b>confidence </b><b>during </b><b>self-localization</b><b> in an unfamiliar</b><b> </b><b>environment </b><b>between poor and good sense of direction</b><b>?</b>

description: Sense of direction is vital for self-localization, particularly in an unfamiliar environment, where individuals with varying sense of direction exhibit notable differences in spatial performance. However, the visual attention mechanisms and psychological representations that underlie these differences remain insufficiently understood int existing research. In this study, we conducted an empirical outdoor self-localization experiment with individuals having a poor or good sense of direction, focusing on two aspects: spatial visual attention and spatial confidence. The results revealed that, compared with individuals with a good sense of direction, those with a poor sense of direction adopted a more cautious and deliberate visual search strategy. They also demonstrated less efficient visual information processing, weaker cognitive abilities, and uneven allocation of spatial visual attention. Additionally, their spatial confidence was lower. These findings provide valuable insights into the spatial cognitive traits of individuals with varying sense of direction during self-localization.
DOI: 10.6084/m9.figshare.28740659.v3
title: <b>What is the difference of spatial visual attention and </b><b>spatial </b><b>confidence </b><b>during </b><b>self-localization</b><b> in an unfamiliar</b><b> </b><b>environment </b><b>between poor and good sense of direction</b><b>?</b>

description: Sense of direction is vital for self-localization, particularly in an unfamiliar environment, where individuals with varying sense of direction exhibit notable differences in spatial performance. However, the visual attention mechanisms and psychological representations that underlie these differences remain insufficiently understood int existing research. In this study, we conducted an empirical outdoor self-localization experiment with individuals having a poor or good sense of direction, focusing on two aspects: spatial visual attention and spatial confidence. The results revealed that, compared with individuals with a good sense of direction, those with a poor sense of direction adopted a more cautious and deliberate visual search strategy. They also demonstrated less efficient visual information processing, weaker cognitive abilities, and uneven allocation of spatial visual attention. Additionally, their spatial confidence was lower. These findings provide valuable insights into the spatial cognitive traits of individuals with varying sense of direction during self-localization.
DOI: 10.6084/m9.figshare.28740659.v2
title: <b>Exploring differences of spatial orientation between individuals with impaired sense of direction and those with normal sense of direction in unfamiliar environments</b>

description: Sense of direction is a crucial component of spatial orientation, particularly in unfamiliar environments, where normal sense of direction is conducive to individuals’ effective arrival at their destinations. However, the characteristics of individuals with impaired sense of direction, compared to those with a normal sense of direction, in terms of spatial orientation remain insufficiently understood. In this study, we aim to explore the differences in spatial orientation between individuals with impaired sense of direction and those with normal sense of direction through an outdoor wayfinding experiment in an unfamiliar environment, focusing on two aspects: spatial visual attention and spatial knowledge acquisition. The results indicate that, compared with individuals with normal sense of direction, those with impaired sense of direction exhibited narrower scope of visual search, insufficient information acquisition, reduced efficiency in visual information processing, and uneven distribution of spatial visual attention towards the ordinary and prominent landmarks they pay attention to. Regarding spatial knowledge acquisition, individuals with impaired sense of direction struggled to effectively identify spatial relationships, had a poor spatial memory, existed different characteristics in spatial thinking. This study is helpful to understand the spatial cognitive traits of individuals with impaired sense of direction.
DOI: 10.15468/dl.mgd4tj
title: Occurrence Download

description: A dataset containing 3498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Galega lindblomii, Gardenia fiorii, Givotia gosai, Gloriosa baudii, Gomphocarpus integer, Gomphocarpus stenophyllus, Gossypium bricchettii, Grewia capitellata, Grewia ferruginea, Grewia lilacina, Grewia penicillata, Grewia plagiophylla, Gymnosporia obscura, Hildebrandtia obcordata, Hyalosepalum oblongifolium, Hypericum kiboense, Indigofera cliffordiana, Iphionopsis rotundifolia, Ipomoea spathulata, Isoglossa lactea, Isoglossa substrobilina, Isolona cauliflora, Jatropha dichtar, Jatropha ellenbeckii, Julbernardia magnistipulata, Kedrostis pseudogijef, Kirkia tenuifolia, Kleinia squarrosa, Lamprothamnus zanguebaricus, Lannea alata, Lannea rivae, Ledebouria kirkii, Lippia carviodora, Lippia dauensis, Lupinus princei)"
 ]
}

 The dataset includes 3498 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032313-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xdsvm
title: Occurrence Download

description: A dataset containing 776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((153.41749 -28.18494,153.41765 -28.18622,153.41989 -28.18898,153.4209 -28.19259,153.42262 -28.19384,153.42583 -28.19388,153.42727 -28.19227,153.42771 -28.19307,153.42827 -28.19275,153.42819 -28.19187,153.42867 -28.18987,153.4294 -28.18662,153.42924 -28.18393,153.42418 -28.18209,153.41697 -28.18157,153.41661 -28.1851,153.41749 -28.18494))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 776 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032314-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wws7av
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus huichol",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032316-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfjg6s
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus insignis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 85 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032318-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brp2a2
title: Occurrence Download

description: A dataset containing 2246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((152.95232 43.25271,120.46338 56.53082,99.27492 39.86255,91.92959 15.84897,108.88037 8.22113,137.41413 15.00142,152.95232 43.25271))",
 "TaxonKey is Ulmus parvifolia"
 ]
}

 The dataset includes 2246 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032315-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2ssaz
title: Occurrence Download

description: A dataset containing 1214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus hunsakeri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1214 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032317-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13141051
title: Genomic analysis of T cell receptors in a cohort of Lynch Syndrome carriers distinguishes pre-malignant and malignant status
DOI: 10.5281/zenodo.17597514
title: Genomic analysis of T cell receptors in a cohort of Lynch Syndrome carriers distinguishes pre-malignant and malignant status
DOI: 10.15468/dl.w22pwc
title: Occurrence Download

description: A dataset containing 2243 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megaphasma denticrus"
 ]
}

 The dataset includes 2243 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032319-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.hjs.00548
title: Neutronic performance of T220 graphite assembly infiltrated with FLiBe molten salt under overpressure conditions
title: 超压工况下T220石墨组件中FLiBe熔盐浸渗对组件中子学性能的影响研究

description: The dataset mainly includes tabular data and three-dimensional data, where tabular data is exported by integrating three-dimensional data. The 3D data is calculated and output as a grid file in. e format based on the single-phase infiltration model using the MOOSE framework. The data includes the distribution changes of infiltration over time at 400 kPa, 450 kPa, and 500 kPa, as well as the effects on neutron studies including infinite increment factors, peak power density, and power density distribution. 
description: The dataset mainly includes tabular data and three-dimensional data, where tabular data is exported by integrating three-dimensional data. The 3D data is calculated and output as a grid file in. e format based on the single-phase infiltration model using the MOOSE framework. The data includes the distribution changes of infiltration over time at 400 kPa, 450 kPa, and 500 kPa, as well as the effects on neutron studies including infinite increment factors, peak power density, and power density distribution.
DOI: 10.57760/sciencedb.hjs.00544
title: Environmental Characteristics and patterns of High-Intensity Plused Gamma Radiation in High-Altitude Regions
title: 高空强脉冲γ环境特征及其规律研究数据集

description: [Background] Strong radiation fields generated by high-altitude gamma-ray transmission through the upper atmosphere can cause performance degradation or functional failure in onboard electronic systems of orbiting satellites. [Purpose] This study aims to investigate the characteristics of intense radiation fields generated by the propagation of strong pulsed gamma rays in the upper atmosphere. [Methods] Monte Carlo methods coupled with variance reduction techniques were employed to achieve high-precision simulations of long-range pulsed gamma-ray transport. The spatial distributions of peak gamma dose rates (Si) and total gamma doses (Si) across varying source altitudes were quantified. Based on an analysis of the dosimetric characteristics and the behavior of pulsed gamma radiation fields, the concept of mass thickness was applied to describe the combined attenuation mechanisms (absorption and scattering) of the atmosphere on gamma-ray propagation. [Results] A universal computational formula was derived to calculate the spatial distributions of gamma dose metrics under diverse source conditions. This formula demonstrated a discrepancy of less than 10% when compared with detailed numerical simulation results. [Conclusions] The proposed framework offers an accuracy- and efficiency-optimized computational approach for the design of spacecraft radiation protection in high-altitude pulsed gamma radiation environments.
description: [Background] Strong radiation fields generated by high-altitude gamma-ray transmission through the upper atmosphere can cause performance degradation or functional failure in onboard electronic systems of orbiting satellites. [Purpose] This study aims to investigate the characteristics of intense radiation fields generated by the propagation of strong pulsed gamma rays in the upper atmosphere. [Methods] Monte Carlo methods coupled with variance reduction techniques were employed to achieve high-precision simulations of long-range pulsed gamma-ray transport. The spatial distributions of peak gamma dose rates (Si) and total gamma doses (Si) across varying source altitudes were quantified. Based on an analysis of the dosimetric characteristics and the behavior of pulsed gamma radiation fields, the concept of mass thickness was applied to describe the combined attenuation mechanisms (absorption and scattering) of the atmosphere on gamma-ray propagation. [Results] A universal computational formula was derived to calculate the spatial distributions of gamma dose metrics under diverse source conditions. This formula demonstrated a discrepancy of less than 10% when compared with detailed numerical simulation results. [Conclusions] The proposed framework offers an accuracy- and efficiency-optimized computational approach for the design of spacecraft radiation protection in high-altitude pulsed gamma radiation environments.
DOI: 10.57760/sciencedb.hjs.00545
title: MC-10 spent-fuel dry storage cask muon scattering simulation datasets
title: MC-10 spent-fuel dry storage cask muon scattering simulation datasets

description: The MC-10 spent-fuel dry storage cask muon scattering dataset was generated through Geant4-based Monte Carlo simulations to support research on muon imaging and reconstruction algorithms for nuclear material monitoring. The dataset provides detailed muon transport and scattering information as muons pass through a full-scale MC-10 spent-fuel DSC model.The simulation incorporated realistic material compositions—including uranium dioxide (UO₂) fuel assemblies, carbon steel cask structures, and concrete shielding—with a total height of 386.2 cm for the fuel assembly layer. Each muon event includes incident and exiting track parameters, scattering angles, and hit coordinates across multiple detector planes.This dataset is primarily designed for validating and benchmarking muon scattering tomography (MST). It enables performance evaluation under various flux and noise conditions, providing a valuable resource for research in nuclear security, spent-fuel verification, and high-density material imaging.
description: The MC-10 spent-fuel dry storage cask muon scattering dataset was generated through Geant4-based Monte Carlo simulations to support research on muon imaging and reconstruction algorithms for nuclear material monitoring. The dataset provides detailed muon transport and scattering information as muons pass through a full-scale MC-10 spent-fuel DSC model.The simulation incorporated realistic material compositions—including uranium dioxide (UO₂) fuel assemblies, carbon steel cask structures, and concrete shielding—with a total height of 386.2 cm for the fuel assembly layer. Each muon event includes incident and exiting track parameters, scattering angles, and hit coordinates across multiple detector planes.This dataset is primarily designed for validating and benchmarking muon scattering tomography (MST). It enables performance evaluation under various flux and noise conditions, providing a valuable resource for research in nuclear security, spent-fuel verification, and high-density material imaging.
DOI: 10.15468/dl.4jha3m
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus internasalis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 196 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032320-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3agqh9
title: Occurrence Download

description: A dataset containing 474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus jalapae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 474 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032321-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxbx36
title: Occurrence Download

description: A dataset containing 6817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((120.97182 13.57474,128.59966 28.97169,133.40241 37.72957,141.17151 48.3238,141.31274 57.92922,115.18033 59.48304,83.82145 59.90683,62.06798 64.1445,38.76069 60.6131,26.04762 51.00768,27.17765 40.5547,56.13522 33.91565,69.55457 33.91565,92.43809 20.63755,120.97182 13.57474))",
 "TaxonKey is Ulmus pumila"
 ]
}

 The dataset includes 6817 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032323-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30608036
title: Cloud type product over the Tibetan Plateau

description: 按云层高度分为高、中、低云量，分别存储在“高”、“中”、“低”文件夹中，便于分类使用和分析。
DOI: 10.6084/m9.figshare.30608036.v3
title: Cloud type product over the Tibetan Plateau

description: 按云层高度分为高、中、低云量，分别存储在“高”、“中”、“低”文件夹中，便于分类使用和分析。
DOI: 10.6084/m9.figshare.30608036.v4
title: Cloud type product over the Tibetan Plateau

description: 按云层高度分为高、中、低云量，分别存储在“高”、“中”、“低”文件夹中，便于分类使用和分析。
DOI: 10.15468/dl.8vjps2
title: Occurrence Download

description: A dataset containing 12034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus jarrovii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 12034 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032322-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7j97e
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus lemosespinali",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 68 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032324-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kw8ak2
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((102.10004 31.38716,62.26577 49.75049,61.41819 29.12708,73.28378 26.01942,97.57986 24.32439,102.10004 31.38716))",
 "TaxonKey is Ulmus wallichiana"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032326-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajr5zv
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus lineatulus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032327-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zk5a2z
title: Occurrence Download

description: A dataset containing 630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus licki",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 630 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032325-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7z5rsm
title: Occurrence Download

description: A dataset containing 5009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((151.25725 47.20788,127.52618 59.07343,98.70985 50.31551,101.81754 17.54403,133.45896 14.15397,151.25725 47.20788))",
 "TaxonKey is Zelkova serrata"
 ]
}

 The dataset includes 5009 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032329-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmm8bg
title: Occurrence Download

description: A dataset containing 7432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Macaranga conglomerata, Maerua decumbens, Maerua denhardtiorum, Maerua glauca, Manilkara butugi, Manilkara sulcata, Melia volkensii, Mimusops bagshawei, Mimusops somalensis, Mkilua fragrans, Momordica rostrata, Momordica sessilifolia, Momordica spinosa, Moringa borziana, Moringa longituba, Moringa rivae, Moringa stenopetala, Nepeta azurea, Nepeta azurea, Newtonia erlangeri, Ochna ovata, Ocimum grandiflorum, Ocimum grandiflorum, Olinia rochetiana, Olinia usambarensis, Olinia usambarensis, Oncocalyx fischeri, Pandanus kirkii, Pandanus rabaiensis, Panicum pinifolium, Pavetta abyssinica, Pentanisia ouranogyne, Phyllanthus sepialis, Pistacia aethiopica, Pistacia aethiopica, Platycelyphium voense, Polygala amboniensis, Polysphaeria parvifolia, Premna oligotricha, Prioria msoo, Priva curtisiae, Pseudosopubia hildebrandtii, Pterodiscus ruspolii)"
 ]
}

 The dataset includes 7432 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032330-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjvez5
title: Occurrence Download

description: A dataset containing 377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus lundelli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 377 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032332-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.