cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uddwuf
title: Occurrence Download

description: A dataset containing 215195 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SysTax - Zoological Collections"
 ]
}

 The dataset includes 215195 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001288-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.zrdc.00033
title: Mitochondrial gene dataset of Chinese goral
title: 中华斑羚线粒体部分基因数据集

description: The samples of Chinese goral were collected from Saihanwula National Nature Reserve in Inner Mongolia and Yunmengshan Nature Reserve in Beijing, China. The dataset includes full-length sequences of mitochondrial genes Cyt b, CO Ⅰ, and D-loop 
description: The samples of Chinese goral were collected from Saihanwula National Nature Reserve in Inner Mongolia and Yunmengshan Nature Reserve in Beijing, China. The dataset includes full-length sequences of mitochondrial genes Cyt b, CO Ⅰ, and D-loop
DOI: 10.57760/sciencedb.j00210.00030
title: RNA-seq of leaf and root tissues from T. kiharae and its tetraploid (T. timopheevii) and diploid (Ae. tauschii) parents
title: RNA-seq of leaf and root tissues from T. kiharae and its tetraploid (T. timopheevii) and diploid (Ae. tauschii) parents

description: Plants of T. kiharae and its tetraploid (T. timopheevii) and diploid (Ae. tauschii) parents were grown in the same growth chamber under a 16-h light/8-h dark photoperiod with a light intensity of 225 μmol m−2 s−1 and a 25 °C/18 °C (light/dark) cycle. Three biological replicates were collected from the second leaves and roots of third-leaf-stage T. kiharae, T. timopheevii, and Ae. tauschii seedlings and stored at −80 °C for total RNA extraction. Total RNA was isolated from the leaf and root tissues using TRIzol reagent (Invitrogen) according to the manufacturer’s instructions. Then, the RNA-seq were performed. All transcriptome data generated in this study are also available at the National Center of Biotechnology Information under accession number PRJNA1221302 (https://www.ncbi.nlm.nih.gov/sra/).
description: Plants of T. kiharae and its tetraploid (T. timopheevii) and diploid (Ae. tauschii) parents were grown in the same growth chamber under a 16-h light/8-h dark photoperiod with a light intensity of 225 μmol m−2 s−1 and a 25 °C/18 °C (light/dark) cycle. Three biological replicates were collected from the second leaves and roots of third-leaf-stage T. kiharae, T. timopheevii, and Ae. tauschii seedlings and stored at −80 °C for total RNA extraction. Total RNA was isolated from the leaf and root tissues using TRIzol reagent (Invitrogen) according to the manufacturer’s instructions. Then, the RNA-seq were performed. All transcriptome data generated in this study are also available at the National Center of Biotechnology Information under accession number PRJNA1221302 (https://www.ncbi.nlm.nih.gov/sra/).
DOI: 10.15468/dl.s2wsy3
title: Occurrence Download

description: A dataset containing 218070 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CAS Ichthyology (ICH)"
 ]
}

 The dataset includes 218070 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001286-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.23768
title: A Scalable Sorting Network Based on Hybrid Algorithms for Accelerating Data Sorting
title: A Scalable Sorting Network Based on Hybrid Algorithms for Accelerating Data Sorting

description: Sorting in sequential data mining is significantly improved through hardware acceleration, which becomes essential as data volume and complexity increase. This paper presents a scalable hybrid sorting network that maintains or improves performance while reducing computational load and hardware requirements. The network is composed of the pre-comparison odd--even sorting network (P-OESN) and the bidirectional insertion sorting network (BISN). A pre-comparison layer is introduced to the original OESN. This layer aims to place larger values in the first half of the input sequence and smaller values in the latter half. The number of iterations is reduced when the P-OESN transitions from fully parallel execution to iterative execution. A novel pipelined BISN architecture is proposed, which leads to enhanced operating frequency and throughput. The experimental results show that the pre-comparison layer reduces the number of iterations by 6\% to 50\%. Throughput is improved by more than four times, and operating frequency is increased by more than two times due to the pipelined BISN. The proposed hybrid sorting network reduces sorting time or resource usage, while enabling the sorting of large-scale data sets that other methods cannot support.
description: Sorting in sequential data mining is significantly improved through hardware acceleration, which becomes essential as data volume and complexity increase. This paper presents a scalable hybrid sorting network that maintains or improves performance while reducing computational load and hardware requirements. The network is composed of the pre-comparison odd--even sorting network (P-OESN) and the bidirectional insertion sorting network (BISN). A pre-comparison layer is introduced to the original OESN. This layer aims to place larger values in the first half of the input sequence and smaller values in the latter half. The number of iterations is reduced when the P-OESN transitions from fully parallel execution to iterative execution. A novel pipelined BISN architecture is proposed, which leads to enhanced operating frequency and throughput. The experimental results show that the pre-comparison layer reduces the number of iterations by 6\% to 50\%. Throughput is improved by more than four times, and operating frequency is increased by more than two times due to the pipelined BISN. The proposed hybrid sorting network reduces sorting time or resource usage, while enabling the sorting of large-scale data sets that other methods cannot support.
DOI: 10.57760/sciencedb.23769
title: Financial fraud dataset of Chinese listed companies (2015-2020)
title: 中国上市企业财务舞弊数据集(2015-2020)

description: The data is sourced from the CSMAR database, covering violation records of companies listed on the Shanghai and Shenzhen stock exchanges from 2015 to 2020, focusing on five types of financial fraud: fictitious profits, inflated assets, false records, material omissions, and inaccurate disclosures. After excluding financial firms, the fraud sample set includes 2,652 violation records from 1,226 companies. Additionally, 2,652 high-quality companies without fraud were selected from the CNRDS ESG rating database to form the non-fraud sample set. The dataset consists of two parts:  1) Structured data: The file "financial fraud dataset (structured data).xlsx" contains 5,304 records covering 43 fields, such as basic company information, financial indicators, structural indicators, and linguistic features of annual report texts. Field names are listed in Table 1.  2) Annual report text data: The folder named "Annual report text data" includes 2,652 fraud samples (file names formatted as Symbol-Year.txt) and 2,652 non-fraud samples (same format). The files contain the MD&A sections of listed companies' annual reports.
description: The data is sourced from the CSMAR database, covering violation records of companies listed on the Shanghai and Shenzhen stock exchanges from 2015 to 2020, focusing on five types of financial fraud: fictitious profits, inflated assets, false records, material omissions, and inaccurate disclosures. After excluding financial firms, the fraud sample set includes 2,652 violation records from 1,226 companies. Additionally, 2,652 high-quality companies without fraud were selected from the CNRDS ESG rating database to form the non-fraud sample set. The dataset consists of two parts:  1) Structured data: The file "financial fraud dataset (structured data).xlsx" contains 5,304 records covering 43 fields, such as basic company information, financial indicators, structural indicators, and linguistic features of annual report texts. Field names are listed in Table 1.  2) Annual report text data: The folder named "Annual report text data" includes 2,652 fraud samples (file names formatted as Symbol-Year.txt) and 2,652 non-fraud samples (same format). The files contain the MD&A sections of listed companies' annual reports.
DOI: 10.57760/sciencedb.j00217.07276
title: Research and practice of teaching reform in immunology using blended intelligent approaches based on learner-centered philosophy
title: 以学生为中心的免疫学课程混合式智慧教学实践探索

description: Immunology is a foundational professional discipline that bridges the divide between basic and clinical medicine. However, the subject matter is complex, the concepts are numerous and abstract, and the knowledge is updated rapidly, making it challenging to grasp and retain. In light of the aforementioned considerations, we put forth a learner-centered philosophy and a prudent utilization of blended intelligent approaches, including: stage-based instruction, multifaceted forms, founded upon historical facts, flexible analogies, integrated with clinical practice, based on practice, emphasizing cutting-edge, post-course reflection, knowledge graph, and artificial intelligence assistance, to fully ignite the passion for learning, enhance scientific research reasoning, expand the scope of scientific research, and cultivate medical students with a solid professional foundation.
description: Immunology is a foundational professional discipline that bridges the divide between basic and clinical medicine. However, the subject matter is complex, the concepts are numerous and abstract, and the knowledge is updated rapidly, making it challenging to grasp and retain. In light of the aforementioned considerations, we put forth a learner-centered philosophy and a prudent utilization of blended intelligent approaches, including: stage-based instruction, multifaceted forms, founded upon historical facts, flexible analogies, integrated with clinical practice, based on practice, emphasizing cutting-edge, post-course reflection, knowledge graph, and artificial intelligence assistance, to fully ignite the passion for learning, enhance scientific research reasoning, expand the scope of scientific research, and cultivate medical students with a solid professional foundation.
DOI: 10.57760/sciencedb.23777
title: Dataset for "Air Pollution Affects the Restaurant and Foodservice Industry in China"
title: Dataset for "Air Pollution Affects the Restaurant and Foodservice Industry in China"

description: Dataset for "Air Pollution Affects the Restaurant and Foodservice Industry in China", including air quality data (pollution, precipitation, temperature, thermal inversions, etc.), greenhouse gas emissions data for various food items, variables for potential pathways and covariates, and dietary patterns of Food Away From Home (FAFH).
description: Dataset for "Air Pollution Affects the Restaurant and Foodservice Industry in China", including air quality data (pollution, precipitation, temperature, thermal inversions, etc.), greenhouse gas emissions data for various food items, variables for potential pathways and covariates, and dietary patterns of Food Away From Home (FAFH).
DOI: 10.57760/sciencedb.23783
title: Bacterial and fungal sequencing data
title: Bacterial and fungal sequencing data

description: The dataset includes bacterial 16S and fungal ITS raw sequencing data. This study was design the effects of microbial diversity loss on soil C decomposition. There are five treatments including O, D0, D2, D4 and D8, each having four replicates.
description: The dataset includes bacterial 16S and fungal ITS raw sequencing data. This study was design the effects of microbial diversity loss on soil C decomposition. There are five treatments including O, D0, D2, D4 and D8, each having four replicates.
DOI: 10.57760/sciencedb.j00139.00203
title: Single-cell RNA-seq provides insight into the underdeveloped immune system of germ-free mice
title: Single-cell RNA-seq provides insight into the underdeveloped immune system of germ-free mice

description: This RDS file contains processed single-cell RNA sequencing (scRNA-seq) data comparing immune cell populations from germ-free (GF) and specific-pathogen-free (SPF) mice. The dataset includes:Samples: Peripheral blood (PB) and bone marrow (BM) from GF and SPF miceCell Counts:Raw: 21,827 cells (PB) and 19,940 cells (BM)Quality-filtered: 18,344 high-quality cells (PB) and 16,537 high-quality cells (BM)Gene Coverage: Median 1,426 genes per cell (PB) and 1,391 genes per cell (BM)Cell Classifications: 18 major cell identities further divided into 25 subpopulationsAnnotation: Cells identified using established marker genes for blood cells
description: This RDS file contains processed single-cell RNA sequencing (scRNA-seq) data comparing immune cell populations from germ-free (GF) and specific-pathogen-free (SPF) mice. The dataset includes:Samples: Peripheral blood (PB) and bone marrow (BM) from GF and SPF miceCell Counts:Raw: 21,827 cells (PB) and 19,940 cells (BM)Quality-filtered: 18,344 high-quality cells (PB) and 16,537 high-quality cells (BM)Gene Coverage: Median 1,426 genes per cell (PB) and 1,391 genes per cell (BM)Cell Classifications: 18 major cell identities further divided into 25 subpopulationsAnnotation: Cells identified using established marker genes for blood cells
DOI: 10.57760/sciencedb.23790
title: Multilingual Collaborative Representation Dataset
title: 多语言协同表示数据集

description: This study proposes and constructs a Chinese-based multilingual collaborative representation dataset, covering low-resource languages such as Tibetan, Uyghur, and Mongolian, aiming to improve the performance of these languages in cross-lingual tasks. The dataset is collected through multiple channels, including government open resources, ethnic cultural websites, and academic resources, ensuring the diversity and representativeness of the corpus. After data collection, machine translation technology is used to generate preliminary bilingual data, and sentence pair alignment tools are employed to optimize the translation results, ensuring high-quality bilingual alignment data. Based on Chinese as a bridge language, the study further constructs a shared multilingual semantic space, which enhances the semantic consistency between different languages by incorporating Chinese semantic information such as synonyms, near-synonyms, and taxonomic relations. The semantic triples in this space provide strong support for semantic alignment between low-resource languages. The dataset has undergone strict quality control and manual verification during the construction process, ensuring its high quality and reliability. This dataset provides rich semantic support for cross-lingual tasks, information retrieval, and multilingual generation in low-resource languages, and has extensive application potential.
description: This study proposes and constructs a Chinese-based multilingual collaborative representation dataset, covering low-resource languages such as Tibetan, Uyghur, and Mongolian, aiming to improve the performance of these languages in cross-lingual tasks. The dataset is collected through multiple channels, including government open resources, ethnic cultural websites, and academic resources, ensuring the diversity and representativeness of the corpus. After data collection, machine translation technology is used to generate preliminary bilingual data, and sentence pair alignment tools are employed to optimize the translation results, ensuring high-quality bilingual alignment data. Based on Chinese as a bridge language, the study further constructs a shared multilingual semantic space, which enhances the semantic consistency between different languages by incorporating Chinese semantic information such as synonyms, near-synonyms, and taxonomic relations. The semantic triples in this space provide strong support for semantic alignment between low-resource languages. The dataset has undergone strict quality control and manual verification during the construction process, ensuring its high quality and reliability. This dataset provides rich semantic support for cross-lingual tasks, information retrieval, and multilingual generation in low-resource languages, and has extensive application potential.
DOI: 10.57760/sciencedb.23784
title: Data for the manuscript submitted to Membranes
title: Data for the manuscript submitted to Membranes

description: Supporting data for the manuscript entitled "Mesoscopic Structure of Lipid Nanoparticles Revealed by Small-Angle X-ray Scattering: Insights from a Spherical Core-Triple Shell Model"
description: Supporting data for the manuscript entitled "Mesoscopic Structure of Lipid Nanoparticles Revealed by Small-Angle X-ray Scattering: Insights from a Spherical Core-Triple Shell Model"
DOI: 10.57760/sciencedb.23795
title: Gamified Working Memory Intervention Enhances Prefrontal Neurocognitive Plasticity during Aging
title: Gamified Working Memory Intervention Enhances Prefrontal Neurocognitive Plasticity during Aging

description: Seventy-six older adults were randomly assigned to either the WM intervention group or the active control group. All participants underwent 12 one-hour training sessions spanning six weeks. For each participant, cognitive assessments were completed at pretest, posttest, and six months after the intervention while structural magnetic resonance imaging (MRI) and resting-state functional MRI scans were conducted before and after intervention.
description: Seventy-six older adults were randomly assigned to either the WM intervention group or the active control group. All participants underwent 12 one-hour training sessions spanning six weeks. For each participant, cognitive assessments were completed at pretest, posttest, and six months after the intervention while structural magnetic resonance imaging (MRI) and resting-state functional MRI scans were conducted before and after intervention.
DOI: 10.57760/sciencedb.23796
title: Design, fabrication and characterization of third-order dispersion mirrors for femtosecond lasers
title: 飞秒激光器用三阶色散镜的设计、制备与表征

description: The residual third-order dispersion (TOD) in ultrafast laser systems must be compensated. We developed an initial design method for a low-oscillation TOD mirror (TODM). The optimized TODM provided a TOD of -5000 fs3 with oscillations less than ±50 fs3 in a wavelength range of 890–960 nm. To meet the requirements of an all-fiber femtosecond laser system, we simulated the application of the TODM in an ultrafast laser system to compensate for a positive TOD of +2.5×105 fs3. Sidelobe pulse oscillations were significantly suppressed after TODM compression, thereby improving pulse quality. Moreover, the laser-induced damage threshold of the TODM was measured to be approximately 0.20 J/cm² under irradiation with 16 fs laser pulses with a spectral bandwidth of 200 nm centered at 920 nm. The initial damage locations on the mirror were successfully explained using multiwavelength electric field analysis. This study provides a basis for the subsequent design of TODMs and the study of the femtosecond damage of dispersion mirrors.
description: The residual third-order dispersion (TOD) in ultrafast laser systems must be compensated. We developed an initial design method for a low-oscillation TOD mirror (TODM). The optimized TODM provided a TOD of -5000 fs3 with oscillations less than ±50 fs3 in a wavelength range of 890–960 nm. To meet the requirements of an all-fiber femtosecond laser system, we simulated the application of the TODM in an ultrafast laser system to compensate for a positive TOD of +2.5×105 fs3. Sidelobe pulse oscillations were significantly suppressed after TODM compression, thereby improving pulse quality. Moreover, the laser-induced damage threshold of the TODM was measured to be approximately 0.20 J/cm² under irradiation with 16 fs laser pulses with a spectral bandwidth of 200 nm centered at 920 nm. The initial damage locations on the mirror were successfully explained using multiwavelength electric field analysis. This study provides a basis for the subsequent design of TODMs and the study of the femtosecond damage of dispersion mirrors.
DOI: 10.57760/sciencedb.23800
title: A descriptive observational cohort study of cognitive function post traumatic nerve injuries of upper limb in five cases and five controls over one year
title: A descriptive observational cohort study of cognitive function post traumatic nerve injuries of upper limb in five cases and five controls over one year

description: This study aimed to monitor changes of cognitive function in participants with traumatic nerve injury of upper limb for 12- month period. A descriptive observational cohort study was conducted with data at 1-, 3-, 6-, and 12- month test points.
description: This study aimed to monitor changes of cognitive function in participants with traumatic nerve injury of upper limb for 12- month period. A descriptive observational cohort study was conducted with data at 1-, 3-, 6-, and 12- month test points.