cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.17634
title: China High Impact Data Paper Ranking (2024)
title: 中国高影响力数据论文榜单 （2024年）

description: Among the many practical paths of open sharing of scientific data, Data Articles, Data Papers, or Data Descriptors are widely recognized as best practices for effectively addressing issues such as sharing incentives, ensuring data quality, and improving data availability. Chinese scholars have been actively involved in open science and have produced a number of high-quality and influential data papers in the practical process, making outstanding contributions to the global open data industry. Chinese academic journals have also innovatively explored new forms of publication such as data journals and data paper columns, but compared with traditional research papers, the practice of data papers on a global scale is still relatively niche; In China, the awareness of data papers among researchers and academic journals still needs to be improved. Based on global data compilation, the "China High Impact Data Paper Ranking (2024)" aims to attract more attention from Chinese researchers and academic journals to data papers, while advocating for broader and more standardized data paper publishing practices. The collection of data papers for this quantitative evaluation method can be obtained through the "Data Paper Index" community of SciecneDB. The access link is: https://dpi.scidb.cn . 
description: Among the many practical paths of open sharing of scientific data, Data Articles, Data Papers, or Data Descriptors are widely recognized as best practices for effectively addressing issues such as sharing incentives, ensuring data quality, and improving data availability. Chinese scholars have been actively involved in open science and have produced a number of high-quality and influential data papers in the practical process, making outstanding contributions to the global open data industry. Chinese academic journals have also innovatively explored new forms of publication such as data journals and data paper columns, but compared with traditional research papers, the practice of data papers on a global scale is still relatively niche; In China, the awareness of data papers among researchers and academic journals still needs to be improved. Based on global data compilation, the "China High Impact Data Paper Ranking (2024)" aims to attract more attention from Chinese researchers and academic journals to data papers, while advocating for broader and more standardized data paper publishing practices. The collection of data papers for this quantitative evaluation method can be obtained through the "Data Paper Index" community of SciecneDB. The access link is: https://dpi.scidb.cn .
DOI: 10.57760/sciencedb.j00133.00449
title: Prompt constructed in experiment
title: 实验构建的提示

description: Three types of prompt constructed in this study: baseline prompt, single-relation-type multiple-example prompt, and multiple-relation-type single-example prompt.The data is presented in a Markdown file.
description: Three types of prompt constructed in this study: baseline prompt, single-relation-type multiple-example prompt, and multiple-relation-type single-example prompt.The data is presented in a Markdown file.
DOI: 10.57760/sciencedb.hjs.00200
title: Study on Nonlinear Flow-Induced Vibration Wear of Fuel Rods in Pressurized Water Reactors under Parameter Uncertainty
title: 参数不确定性下压水堆燃料棒非线性流致振动磨损研究

description: Studied the nonlinear flow induced vibration and wear of pressurized water reactor fuel rods with parameter uncertainty. Firstly, considering the interaction between the fuel rod and the gap support lattice, a nonlinear vibration model of it in the coolant was established. Then, the nonlinear vibration response characteristics of the system were analyzed, and the dynamic characteristics of vibration wear rate were studied by combining the Archard wear model. Finally, considering the uncertainty of model parameters caused by factors such as high temperature, irradiation, lattice relaxation, and initial structural manufacturing tolerances of fuel rods, an uncertainty analysis of wear rate was conducted based on the Chebyshev interval algorithm. The results indicate that the wear rate of fuel rods is closely related to the nonlinear motion state of the structure; Different uncertainty parameters have varying degrees of impact on the wear rate, leading to significant differences in the uncertainty range of the wear rate. 
description: Studied the nonlinear flow induced vibration and wear of pressurized water reactor fuel rods with parameter uncertainty. Firstly, considering the interaction between the fuel rod and the gap support lattice, a nonlinear vibration model of it in the coolant was established. Then, the nonlinear vibration response characteristics of the system were analyzed, and the dynamic characteristics of vibration wear rate were studied by combining the Archard wear model. Finally, considering the uncertainty of model parameters caused by factors such as high temperature, irradiation, lattice relaxation, and initial structural manufacturing tolerances of fuel rods, an uncertainty analysis of wear rate was conducted based on the Chebyshev interval algorithm. The results indicate that the wear rate of fuel rods is closely related to the nonlinear motion state of the structure; Different uncertainty parameters have varying degrees of impact on the wear rate, leading to significant differences in the uncertainty range of the wear rate.
DOI: 10.57760/sciencedb.17655
title: Experimental Results and Workload Datasets of Hierarchical Caching Management Scheme
title: Experimental Results and Workload Datasets of Hierarchical Caching Management Scheme

description: The dataset provides the experimental results of caching management schemes for hierarchical caching structures. It involves one set of workload datasets, which includes four groups of mixed traffic, simulating traffic from different application scenarios by varying the composition ratios of different types of traffic. The results of four experimental groups are as follows: (1) the impact of different input traffic groups; (2) the impact of different replica placement strategies; (3) the impact of cache size variations. All experiments were conducted using the Icarus simulator. The results of each experiment group are serialized into Python pickle files for subsequent processing. For more detailed information on the experimental parameters, please refer to the documentation of the Icarus simulator and the published articles related to this dataset.
description: The dataset provides the experimental results of caching management schemes for hierarchical caching structures. It involves one set of workload datasets, which includes four groups of mixed traffic, simulating traffic from different application scenarios by varying the composition ratios of different types of traffic. The results of four experimental groups are as follows: (1) the impact of different input traffic groups; (2) the impact of different replica placement strategies; (3) the impact of cache size variations. All experiments were conducted using the Icarus simulator. The results of each experiment group are serialized into Python pickle files for subsequent processing. For more detailed information on the experimental parameters, please refer to the documentation of the Icarus simulator and the published articles related to this dataset.
DOI: 10.57760/sciencedb.17669
title: Characterizing Holocene environmental transitions using magnetic properties of sediments from the continental shelf of the northern South China Sea
title: Characterizing Holocene environmental transitions using magnetic properties of sediments from the continental shelf of the northern South China Sea

description: This dataset includes rock magnetic data from six representative samples of core WC11, as well as magnetic proxy records, grain size records, and heavy mineral contents of sediments from core WC11, which was drilled from the continental shelf of the northern South China Sea.
description: This dataset includes rock magnetic data from six representative samples of core WC11, as well as magnetic proxy records, grain size records, and heavy mineral contents of sediments from core WC11, which was drilled from the continental shelf of the northern South China Sea.
DOI: 10.57760/sciencedb.17647
title: Research data set of Research on Drug Combination Recommendation Model Fusing Temporal and Physiological Data
title: 融合时序与体征数据的图嵌入式药物组合推荐模型研究数据集

description: The data set includes the data processed in the research paper of the graph embedded drug combination recommendation model integrating time sequence and sign data, mainly including adverse drug interaction information, patient time sequence data, patient sign data and pre training data. If you need unprocessed data, check the mimic-iii database.
description: The data set includes the data processed in the research paper of the graph embedded drug combination recommendation model integrating time sequence and sign data, mainly including adverse drug interaction information, patient time sequence data, patient sign data and pre training data. If you need unprocessed data, check the mimic-iii database.
DOI: 10.57760/sciencedb.j00186.00448
title: CSCB-LMMLEM-VR Algorithm Supported Dataset
title: CSCB-LMMLEM-VR Algorithm Supported Dataset

description: This is a dataset related to the paper "Application of LMMLEM-VR algorithm based on Compton scattering backprojection optimization in CC-XFCT", including system comparison experimental data and complete image reconstruction data.
description: This is a dataset related to the paper "Application of LMMLEM-VR algorithm based on Compton scattering backprojection optimization in CC-XFCT", including system comparison experimental data and complete image reconstruction data.
DOI: 10.57760/sciencedb.17676
title: NAE inhibitor MLN4924 suppresses Coxsackievirus B3 replication by inhibiting the neddylation of viral RNA-dependent RNA polymerase 3D
title: NAE抑制剂MLN4924通过抑制病毒的RNA依赖的RNA聚合酶3D的NEDD化来抑制B组三型柯萨奇病毒的复制

description: All the raw data of the figures used in the article
description: All the raw data of the figures used in the article
DOI: 10.57760/sciencedb.17687
title: The data from experimental studies of tunable Cr:ZnS MOPA lasers
title: 可调谐Cr:ZnS MOPA激光器实验研究数据

description: The data in the article chart is recorded experimentally, and the curve is plotted by the Origin software.
description: The data in the article chart is recorded experimentally, and the curve is plotted by the Origin software.
DOI: 10.57760/sciencedb.17692
title: Literature dataset in the field of brain computer interface
title: 脑机接口领域文献数据集

description: The paper data in the field of brain computer interfaces for 2023 and earlier are from the Web of Science Core collection. 
description: The paper data in the field of brain computer interfaces for 2023 and earlier are from the Web of Science Core collection.
DOI: 10.57760/sciencedb.17694
title: Energy Transition Policies and Urban Economic Resilience
title: Energy Transition Policies and Urban Economic Resilience

description: The dataset was selected from the panel data of 266 prefecture-level cities and above in China during the period 2007-2022, and the following data processing was carried out:(1) Based on the Notice of the National Energy Administration on the Announcement of the List of New Energy Demonstration Cities (Industrial Parks) to be Created (the First Batch) issued by the National Energy Administration in 2014, this paper takes the cities in the list of the first batch of new energy demonstration cities as the experimental group. To ensure the robustness of the findings, county-level cities and industrial parks in the 81 demonstration cities (districts), as well as new energy demonstration cities set up on a district basis, were excluded. Eventually, the experimental group included 58 cities and the control group included 208 cities. (2) Missing data are filled in by linear interpolation; price indicators are deflated using 2007 as the base period. The data used in this paper mainly come from China Urban Yearbook, China Urban Construction Statistics Yearbook, and government bulletins of prefectural-level cities.
description: The dataset was selected from the panel data of 266 prefecture-level cities and above in China during the period 2007-2022, and the following data processing was carried out:(1) Based on the Notice of the National Energy Administration on the Announcement of the List of New Energy Demonstration Cities (Industrial Parks) to be Created (the First Batch) issued by the National Energy Administration in 2014, this paper takes the cities in the list of the first batch of new energy demonstration cities as the experimental group. To ensure the robustness of the findings, county-level cities and industrial parks in the 81 demonstration cities (districts), as well as new energy demonstration cities set up on a district basis, were excluded. Eventually, the experimental group included 58 cities and the control group included 208 cities. (2) Missing data are filled in by linear interpolation; price indicators are deflated using 2007 as the base period. The data used in this paper mainly come from China Urban Yearbook, China Urban Construction Statistics Yearbook, and government bulletins of prefectural-level cities.
DOI: 10.57760/sciencedb.17705
title: NeuBCI Multi-Class Target Detection RSVP EEG and EM Dataset
title: NeuBCI Multi-Class Target Detection RSVP EEG and EM Dataset

description: The "NeuBCI Multi-Class Target Detection RSVP EEG and EM Dataset" comprises electroencephalogram (EEG) and eye movement (EM) data from Multi-Class Target Rapid Serial Visual Presentation (RSVP)-based target image detection tasks. The dataset encompasses three independent tasks and includes data from 43 participants.
description: The "NeuBCI Multi-Class Target Detection RSVP EEG and EM Dataset" comprises electroencephalogram (EEG) and eye movement (EM) data from Multi-Class Target Rapid Serial Visual Presentation (RSVP)-based target image detection tasks. The dataset encompasses three independent tasks and includes data from 43 participants.
DOI: 10.57760/sciencedb.17716
title: Experimental study on the vaporization characteristics of wood chips under airflow bed conditions
title: 气流床条件下木屑高温水蒸气气化特性试验研究

description: Experimental data 
description: Experimental data
DOI: 10.15468/dl.z8gb9b
title: Occurrence Download

description: A dataset containing 409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Melipona melanoventer Schwarz, 1932"
 ]
}

 The dataset includes 409 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001170-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.17717
title: First Establishment of a Duck Model for In Vivo and In Vitro Studies of West nile virus (Kunjin subtype)
title: First Establishment of a Duck Model for In Vivo and In Vitro Studies of West nile virus (Kunjin subtype)

description: We present a method for constructing a Kunjin virus (KUNV) infectious clone capable of stable proliferation in bacterial systems. This KUNV infectious clone successfully produces infectious viral particles within host cells. In vitro, the recombinant virus demonstrates the ability to replicate in primary duck cells and induces 100% mortality in duck embryos. In vivo, the recombinant virus exhibits virulence in our established duckling model, leading to clinical signs such as hepatic haemorrhage, splenomegaly, and pancreatic haemorrhage. Furthermore, the recombinant KUNV induces a mortality rate of 20% in ducklings, thereby providing a robust model for studying the virus’s pathogenicity in horses or human. To expand upon this foundation, we have developed KUNV replicons tagged with luciferase and mCherry, which confirm successful KUNV replication in primary duck cells and hold potential for future antiviral drug screening. The KUNV reverse genetics system, alongside the in vitro and in vivo duck infection models, offers a valuable platform for identifying pathogenic factors relevant to KUNV infection in humans, horses, and avian species. Additionally, this system could be instrumental in advancing vaccine development and antiviral drug research against KUNV.
description: We present a method for constructing a Kunjin virus (KUNV) infectious clone capable of stable proliferation in bacterial systems. This KUNV infectious clone successfully produces infectious viral particles within host cells. In vitro, the recombinant virus demonstrates the ability to replicate in primary duck cells and induces 100% mortality in duck embryos. In vivo, the recombinant virus exhibits virulence in our established duckling model, leading to clinical signs such as hepatic haemorrhage, splenomegaly, and pancreatic haemorrhage. Furthermore, the recombinant KUNV induces a mortality rate of 20% in ducklings, thereby providing a robust model for studying the virus’s pathogenicity in horses or human. To expand upon this foundation, we have developed KUNV replicons tagged with luciferase and mCherry, which confirm successful KUNV replication in primary duck cells and hold potential for future antiviral drug screening. The KUNV reverse genetics system, alongside the in vitro and in vivo duck infection models, offers a valuable platform for identifying pathogenic factors relevant to KUNV infection in humans, horses, and avian species. Additionally, this system could be instrumental in advancing vaccine development and antiviral drug research against KUNV.
DOI: 10.57760/sciencedb.17720
title: Data 12 African Countries
title: Data 12 African Countries

description: The data is a panel data for 12 lower middle African countries from 2014 t0 2023. The countries include for Angola, Cabo Verde, Congo Republic, Lesotho, Sudan, Cameron, Cote-D’Ivoire, Ghana, Zambia, Kenya, Mauritania, and Nigeria. The variables include GDP growth,  Unemployment, Net Foreign direct investment(%GDP), and Gross capital formation (%GDP).
description: The data is a panel data for 12 lower middle African countries from 2014 t0 2023. The countries include for Angola, Cabo Verde, Congo Republic, Lesotho, Sudan, Cameron, Cote-D’Ivoire, Ghana, Zambia, Kenya, Mauritania, and Nigeria. The variables include GDP growth,  Unemployment, Net Foreign direct investment(%GDP), and Gross capital formation (%GDP).
DOI: 10.57760/sciencedb.17722
title: Self-powered and Switchable Gas-Humidity Dual-mode Flexible Chemosensors Based on Smart Adaptable Hydrogel
title: Self-powered and Switchable Gas-Humidity Dual-mode Flexible Chemosensors Based on Smart Adaptable Hydrogel

description: This is a dataset for Self-powered and Switchable Gas-Humidity Dual-mode Flexible Chemosensors Based on Smart Adaptable Hydrogel
description: This is a dataset for Self-powered and Switchable Gas-Humidity Dual-mode Flexible Chemosensors Based on Smart Adaptable Hydrogel
DOI: 10.57760/sciencedb.j00001.01195
title: Rutting observation data set of asphalt pavement in Beijing RIOHTrack center station from 2016 to 2021
title: 2016–2021年北京足尺路面环道中心站沥青路面车辙观测数据集

description: This dataset includes the observation results of rutting depth of 19 kinds of asphalt pavement in Beijing RIOHTrack center station from 2016 to 2021, with a total of 115 loading cycles and 147 data rows. The data form contains: year, loading date, loading period number, cumulative equivalent single axle loads, average temperature, rutting depth observation results of STR1 to STR19 loading lane.
description: This dataset includes the observation results of rutting depth of 19 kinds of asphalt pavement in Beijing RIOHTrack center station from 2016 to 2021, with a total of 115 loading cycles and 147 data rows. The data form contains: year, loading date, loading period number, cumulative equivalent single axle loads, average temperature, rutting depth observation results of STR1 to STR19 loading lane.
DOI: 10.57760/sciencedb.j00133.00455
title: Standard Knowledge Q&A Dataset of Traditional Chinese Medicine
title: 中医药标准知识问答数据集

description: On the National Group Standard Information Platform, by searching with the names of organizations related to traditional Chinese medicine, documents were downloaded and filtered to exclude those without full text. Relevant Chinese medicine standards were collected and organized. From each document, 3-4 standard QA pairs were constructed, ultimately forming a standard knowledge QA dataset containing 3,000 QA pairs (questions and standard answers).
description: On the National Group Standard Information Platform, by searching with the names of organizations related to traditional Chinese medicine, documents were downloaded and filtered to exclude those without full text. Relevant Chinese medicine standards were collected and organized. From each document, 3-4 standard QA pairs were constructed, ultimately forming a standard knowledge QA dataset containing 3,000 QA pairs (questions and standard answers).
DOI: 10.57760/sciencedb.j00133.00457
title: Yelp dataset and Amazon dataset
title: Yelp dataset and Amazon dataset

description: This file consists of two datasets: the collected Yelp dining dataset and the publicly available Amazon apparel dataset. The two data sets contain pre-processed text and image features, and the data sets are labeled 1 for useful and 0 for useless.
description: This file consists of two datasets: the collected Yelp dining dataset and the publicly available Amazon apparel dataset. The two data sets contain pre-processed text and image features, and the data sets are labeled 1 for useful and 0 for useless.