cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00001.01276
title: A Multimodal Visible-SAR Dataset for Airport Detection in Remote Sensing Imagery
title: 可见光-SAR 遥感多模态机场检测数据集

description: This dataset is based on Google Earth visible light images and Gaofen-3 (GF-3) synthetic aperture radar (SAR) images, and constructs a visible light SAR remote sensing multimodal target detection dataset focusing on airport targets nationwide. The dataset consists of two parts: image data and annotation data. The image data is divided into visible light modal data and SAR modal data, and the annotation file data includes VOC rotation box annotation file format and YOLO horizontal box annotation file format. In the process of constructing the dataset, follow standardized methods for data collection, processing, and annotation. The dataset has the characteristics of pixel level alignment, large spatial span, large scale span, rich scene diversity, and small targets, which can meet the training needs of mainstream deep learning models. This dataset is the first publicly released visible light SAR spatially aligned remote sensing multimodal object detection dataset, providing important basic data resources for researchers in related fields and having practical application value for promoting research in the field of remote sensing multimodal object detection. 
description: This dataset is based on Google Earth visible light images and Gaofen-3 (GF-3) synthetic aperture radar (SAR) images, and constructs a visible light SAR remote sensing multimodal target detection dataset focusing on airport targets nationwide. The dataset consists of two parts: image data and annotation data. The image data is divided into visible light modal data and SAR modal data, and the annotation file data includes VOC rotation box annotation file format and YOLO horizontal box annotation file format. In the process of constructing the dataset, follow standardized methods for data collection, processing, and annotation. The dataset has the characteristics of pixel level alignment, large spatial span, large scale span, rich scene diversity, and small targets, which can meet the training needs of mainstream deep learning models. This dataset is the first publicly released visible light SAR spatially aligned remote sensing multimodal object detection dataset, providing important basic data resources for researchers in related fields and having practical application value for promoting research in the field of remote sensing multimodal object detection.
DOI: 10.57760/sciencedb.21039
title: The data of the article "Algorithm for computing time correlation functions in non-stationary complex dynamic systems"
title: The data of the article "Algorithm for computing time correlation functions in non-stationary complex dynamic systems"

description: For non-stationary complex dynamic systems, a standardized algorithm is developed to compute time correlation functions, addressing the limitations of traditional methods reliant on the stationary assumption. The proposed algorithm integrates two-point and multi-point time correlation functions into a unified framework. Further, it is verified by a practical application in complex financial systems, demonstrating its potential in various complex dynamic systems.
description: For non-stationary complex dynamic systems, a standardized algorithm is developed to compute time correlation functions, addressing the limitations of traditional methods reliant on the stationary assumption. The proposed algorithm integrates two-point and multi-point time correlation functions into a unified framework. Further, it is verified by a practical application in complex financial systems, demonstrating its potential in various complex dynamic systems.
DOI: 10.57760/sciencedb.21043
title: Hybrid optical parametric amplifier for few-cycle infrared and te-rahertz pulses generation
title: Hybrid optical parametric amplifier for few-cycle infrared and te-rahertz pulses generation

description: We demonstrate a hybrid optical parametric amplifier delivering few-cycle infrared and terahertz pulses. Different components of the white light seed are amplified successively generating broadband signal and idler pulses. After dispersion compensation, the signal pulses are compressed to 15.2 fs with a pulse energy of 380 μJ. Meanwhile, the idler pulses are employed to produce terahertz waves via different frequency generation. The generated frequency is tunable from 18 to 30 THz with a peak pulse energy of 4 μJ. The study provides a compact and scalable scheme for the generation of few-cycle infrared and terahertz waves.
description: We demonstrate a hybrid optical parametric amplifier delivering few-cycle infrared and terahertz pulses. Different components of the white light seed are amplified successively generating broadband signal and idler pulses. After dispersion compensation, the signal pulses are compressed to 15.2 fs with a pulse energy of 380 μJ. Meanwhile, the idler pulses are employed to produce terahertz waves via different frequency generation. The generated frequency is tunable from 18 to 30 THz with a peak pulse energy of 4 μJ. The study provides a compact and scalable scheme for the generation of few-cycle infrared and terahertz waves.
DOI: 10.57760/sciencedb.21047
title: The therapeutic effect of HDAC2 inhibitors on KOA cell models
title: The therapeutic effect of HDAC2 inhibitors on KOA cell models

description: The KOA model was intervened with the HDAC2 inhibitor Santacruzamate A at a concentration of 50uM, and the therapeutic effect on the KOA cell model was then tested
description: The KOA model was intervened with the HDAC2 inhibitor Santacruzamate A at a concentration of 50uM, and the therapeutic effect on the KOA cell model was then tested
DOI: 10.57760/sciencedb.21052
title: HDAC2 interacts with ELAVL1 to activate Caspase 1/IL-1β pathway
title: HDAC2 interacts with ELAVL1 to activate Caspase 1/IL-1β pathway

description: WB confirmed that HDAC2 and ELAVL1 bound to each other in the KOA model, WB confirmed that the levels of ELAVL1 and Caspase1 proteins increased, and qPCR confirmed that the HDAC2 and ELAVL1 complex could enhance the stability of Caspase1 mRNA.
description: WB confirmed that HDAC2 and ELAVL1 bound to each other in the KOA model, WB confirmed that the levels of ELAVL1 and Caspase1 proteins increased, and qPCR confirmed that the HDAC2 and ELAVL1 complex could enhance the stability of Caspase1 mRNA.
DOI: 10.57760/sciencedb.21051
title: Effect of fluorine contamination from multilayer dielectric grating fabrication on picosecond-laser-induced damage resistance
title: 多层介质光栅制造过程中的氟污染对其抗皮秒激光诱导损伤性能的影响

description: In this study, two different beam-current etching protocols were employed in fabricating MLDGs and thin films to comprehensively evaluate the adverse effects of subsurface defects introduced by the etching process. The results revealed that the etching process introduced penetration of fluorine contamination defects, and the degree of fluorine contamination increased in the high-beam etching (HBE) protocol. Furthermore, the quantity of typical shallow damage pits exhibited a significant increase in the HBE films under 7.6-ps laser irradiation, and the 0% laser-induced damage thresholds of gratings and thin films fabricated through the low-beam etching (LBE) protocol achieved significant improvements of 33% and 26%, respectively, compared to those obtained with the HBE protocol. The LBE protocol will be employed in meter-scale grating fabrication to improve picosecond laser damage resistance.
description: In this study, two different beam-current etching protocols were employed in fabricating MLDGs and thin films to comprehensively evaluate the adverse effects of subsurface defects introduced by the etching process. The results revealed that the etching process introduced penetration of fluorine contamination defects, and the degree of fluorine contamination increased in the high-beam etching (HBE) protocol. Furthermore, the quantity of typical shallow damage pits exhibited a significant increase in the HBE films under 7.6-ps laser irradiation, and the 0% laser-induced damage thresholds of gratings and thin films fabricated through the low-beam etching (LBE) protocol achieved significant improvements of 33% and 26%, respectively, compared to those obtained with the HBE protocol. The LBE protocol will be employed in meter-scale grating fabrication to improve picosecond laser damage resistance.
DOI: 10.57760/sciencedb.21053
title: TG-MS data
title: TG-MS data

description: TG-MS data of DAP-4, DAP-4+Fe2O3, DAP-4+Co3O4, DAP-4+NiO, DAP-4+CuO, DAP-4+ZnO
description: TG-MS data of DAP-4, DAP-4+Fe2O3, DAP-4+Co3O4, DAP-4+NiO, DAP-4+CuO, DAP-4+ZnO
DOI: 10.57760/sciencedb.21062
title: A dataset of underwater obstacle profile image of Qiandao Lake, China 2024-2025
title: 中国千岛湖水下含障碍物剖面图像数据集2024-2025

description: 该数据集来源于 2024 年 1 月 31 日在浙江省杭州市千岛湖进行的基于无人机 （UAV） 的 LiDAR 水下障碍物检测实验。无人机在坐标 29°31'05.97 “N， 118°57'22.14” E 起飞。该湖海拔超过 108 米，平均深度约 34 米，最大深度超过 100 米。水质达到国家一级标准。实验中使用的水下障碍物是一个容积为 300 升、直径约 600 毫米、高度约为 800 毫米的圆柱形金属桶。障碍物被归类为深度为 1 至 10 米的悬浮物体。该实验装置使用 532 nm 绿光激光器作为光源，并使用光电倍增管 （PMT） 来检测垂直偏振光信号。根据控制扫描方镜旋转的编码器的读数对波形进行分组。每个波形组按顺序组织，以波形序列为横轴，以原始波形图像的水平坐标为单位时间内的纵轴。回波强度经过颜色映射，以生成直接反映 LiDAR 回波空间分布的剖面图像。在此实验环境中，数据集由主机上的 bin 文件软件处理，以执行波形分析和从有障碍物和无障碍物区域收集的数据的串联。最后，获得 91 张有障碍物图像和 74 张无障碍物图像，共计 165 张图像。每张图片都是 png 格式，大小从 20kb 到 130kb 不等。
description: 该数据集来源于 2024 年 1 月 31 日在浙江省杭州市千岛湖进行的基于无人机 （UAV） 的 LiDAR 水下障碍物检测实验。无人机在坐标 29°31'05.97 “N， 118°57'22.14” E 起飞。该湖海拔超过 108 米，平均深度约 34 米，最大深度超过 100 米。水质达到国家一级标准。实验中使用的水下障碍物是一个容积为 300 升、直径约 600 毫米、高度约为 800 毫米的圆柱形金属桶。障碍物被归类为深度为 1 至 10 米的悬浮物体。该实验装置使用 532 nm 绿光激光器作为光源，并使用光电倍增管 （PMT） 来检测垂直偏振光信号。根据控制扫描方镜旋转的编码器的读数对波形进行分组。每个波形组按顺序组织，以波形序列为横轴，以原始波形图像的水平坐标为单位时间内的纵轴。回波强度经过颜色映射，以生成直接反映 LiDAR 回波空间分布的剖面图像。在此实验环境中，数据集由主机上的 bin 文件软件处理，以执行波形分析和从有障碍物和无障碍物区域收集的数据的串联。最后，获得 91 张有障碍物图像和 74 张无障碍物图像，共计 165 张图像。每张图片都是 png 格式，大小从 20kb 到 130kb 不等。
DOI: 10.5281/zenodo.14996765
title: J.S. Bach – Solo Pieces (A corpus of annotated scores)

description: No description provided.
DOI: 10.5281/zenodo.15292708
title: J.S. Bach – Solo Pieces (A corpus of annotated scores)

description: No description provided.
DOI: 10.57760/sciencedb.o00130.05954
title: Age-standardized prevalence, age-standardized disability-adjusted life years rate and average annual percent change of dietary iron deficiency for children under 10 years old in 1990 and 2019 among the Belt and Road Initiative countries and results of frontier analysis
title: 1990与2019年一带一路倡议国家10岁以下儿童膳食铁缺乏年龄标准化患病率、年龄标准化伤残调整寿命年率及其平均年度变化百分比和前沿分析结果

description: Additional table 1 Dietary iron deficiency ASPR and its AAPC in children under 10 years old among BRI countries in 1990 and 2019Additional table 2 Dietary iron deficiency ASDR and its AAPC in children under 10 years old among BRI countries in 1990 and 2019Additional table 3 Frontier analysis on ASDR of dietary iron deficiency based on SDI in children under 10 years old in BRI countries
description: Additional table 1 Dietary iron deficiency ASPR and its AAPC in children under 10 years old among BRI countries in 1990 and 2019Additional table 2 Dietary iron deficiency ASDR and its AAPC in children under 10 years old among BRI countries in 1990 and 2019Additional table 3 Frontier analysis on ASDR of dietary iron deficiency based on SDI in children under 10 years old in BRI countries
DOI: 10.5281/zenodo.7483349
title: An Annotated Corpus of Tonal Piano Music from the Long 19th Century

description: This corpus has been created within the DCML corpus initiative and employs the DCML harmony annotation standard.


Version 1 has been released for submitting it as part of the data report Hentschel, J., Rammos, Y., Neuwirth, M., Rohrmeier, M. (forthcoming). An Annotated Corpus of Tonal Piano Music from the Long 19th Century that accompanies nine corpora grouped under the DOI 10.5281/zenodo.7483349.


Version 1.1 comes with a complete set of metadata and score headers. Among more accurate composition dates, the metadata now include URIs that identify the compositions in terms of the Virtual International Authority File (VIAF), Wikidata, IMSLP and MusicBrainz. The data has been re-extracted from the scores using ms3 1.1.1.


The publication covers the following corpora (the DOI links always point at the latest version respectively):



	
Ludwig van Beethoven - Piano Sonatas
	
Frédéric Chopin - Mazurkas
	
Claude Debussy - Suite Bergamasque
	
Antonín Dvořák - Silhouettes
	
Franz Liszt - Années de Pèlerinage
	
Nikolai Medtner - Tales
	
Robert Schumann - Kinderszenen
	
Pyotr Tchaikovsky - The Seasons
	
Edvard Grieg - Lyric Pieces
DOI: 10.5281/zenodo.10271144
title: Ludwig van Beethoven - Piano Sonatas (A corpus of annotated scores)

description: This corpus of annotated MuseScore files has been created within the DCML corpus initiative and employs the DCML harmony annotation standard. It is one out of nine similar corpora that have been grouped together to An Annotated Corpus of Tonal Piano Music from the Long 19th Century which comes with a data report that is currently under review.


The dataset lives on GitHub (link under "Related identifiers") and is stored on Zenodo purely for conservation and automatic DOI generation for new GitHub releases. For technical reasons, we include only brief, generic instructions on how to use the data. For more detailed documentation, please refer to the dataset's GitHub page.


What is included


The dataset includes annotated MusicScores .mscx files that have been created with MuseScore 3.6.2 and can be opened with any MuseScore 3, or later version. Apart from that, the score information (measures, notes, harmony labels) have been extracted in the form of TSV files which can be found respectively in the folders measures, notes, and harmonies. They have been extracted with the Python library ms3 and its documentation has a column glossary for looking up the meaning of a column.


Getting the data


You can download the dataset as a ZIP file from Zenodo or GitHub. Please note that these automatically generated ZIP files do not include submodules, which would appear as empty folders. If you need ZIP files, you will need to find the submodule repositories (e.g. via GitHub) and download them individually.


Apart from that, there is the possibility to git-clone the GitHub repository to your disk. This has the advantage that it allows to version-control any changes you want to make to the dataset and to ask for your changes to be included ("merged") in a future version.
DOI: 10.5281/zenodo.11089686
title: Ludwig van Beethoven - Piano Sonatas (A corpus of annotated scores)

description: This corpus of annotated MuseScore files has been created within the DCML corpus initiative and employs the DCML harmony annotation standard. It is one out of nine similar corpora that have been grouped together to An Annotated Corpus of Tonal Piano Music from the Long 19th Century which comes with a data report that is currently under review.


The dataset lives on GitHub (link under "Related identifiers") and is stored on Zenodo purely for conservation and automatic DOI generation for new GitHub releases. For technical reasons, we include only brief, generic instructions on how to use the data. For more detailed documentation, please refer to the dataset's GitHub page.


What is included


The dataset includes annotated MusicScores .mscx files that have been created with MuseScore 3.6.2 and can be opened with any MuseScore 3, or later version. Apart from that, the score information (measures, notes, harmony labels) have been extracted in the form of TSV files which can be found respectively in the folders measures, notes, and harmonies. They have been extracted with the Python library ms3 and its documentation has a column glossary for looking up the meaning of a column.


Getting the data


You can download the dataset as a ZIP file from Zenodo or GitHub. Please note that these automatically generated ZIP files do not include submodules, which would appear as empty folders. If you need ZIP files, you will need to find the submodule repositories (e.g. via GitHub) and download them individually.


Apart from that, there is the possibility to git-clone the GitHub repository to your disk. This has the advantage that it allows to version-control any changes you want to make to the dataset and to ask for your changes to be included ("merged") in a future version.
DOI: 10.5281/zenodo.14996945
title: Béla Bartók – 14 Bagatelles, Op. 6 (A corpus of annotated scores)

description: No description provided.
DOI: 10.5281/zenodo.15292706
title: Béla Bartók – 14 Bagatelles, Op. 6 (A corpus of annotated scores)

description: No description provided.
DOI: 10.5281/zenodo.15292707
title: Ludwig van Beethoven – Piano Sonatas (A corpus of annotated scores)

description: No description provided.
DOI: 10.5281/zenodo.7473560
title: Ludwig van Beethoven – Piano Sonatas (A corpus of annotated scores)

description: No description provided.
DOI: 10.5281/zenodo.7535598
title: Ludwig van Beethoven - Piano Sonatas (A corpus of annotated scores)

description: This corpus of annotated MuseScore files has been created within the DCML corpus initiative and employs the DCML harmony annotation standard. It is one out of nine similar corpora that have been grouped together to An Annotated Corpus of Tonal Piano Music from the Long 19th Century which comes with a data report that is currently under review. <strong>Version 1</strong> has been released for submitting it as part of the data report <code>Hentschel, J., Rammos, Y., Neuwirth, M., Rohrmeier, M. (forthcoming). An Annotated Corpus of Tonal Piano Music from the Long 19th Century</code> that accompanies nine corpora grouped under the DOI 10.5281/zenodo.7483349. <strong>Version 1.1</strong> comes with a complete set of metadata and score headers. Among more accurate composition dates, the metadata now include URIs that identify the compositions in terms of the Virtual International Authority File (VIAF), Wikidata, IMSLP and MusicBrainz. The data has been re-extracted from the scores using ms3 1.1.1.
DOI: 10.5281/zenodo.8328800
title: Ludwig van Beethoven - Piano Sonatas (A corpus of annotated scores)

description: This corpus of annotated MuseScore files has been created within the DCML corpus initiative and employs the DCML harmony annotation standard. It is one out of nine similar corpora that have been grouped together to An Annotated Corpus of Tonal Piano Music from the Long 19th Century which comes with a data report that is currently under review.


The dataset lives on GitHub (link under "Related identifiers") and is stored on Zenodo purely for conservation and automatic DOI generation for new GitHub releases. For technical reasons, we include only brief, generic instructions on how to use the data. For more detailed documentation, please refer to the dataset's GitHub page.


What is included


The dataset includes annotated MusicScores .mscx files that have been created with MuseScore 3.6.2 and can be opened with any MuseScore 3, or later version. Apart from that, the score information (measures, notes, harmony labels) have been extracted in the form of TSV files which can be found respectively in the folders measures, notes, and harmonies. They have been extracted with the Python library ms3 and its documentation has a column glossary for looking up the meaning of a column.


Getting the data


You can download the dataset as a ZIP file from Zenodo or GitHub. Please note that these automatically generated ZIP files do not include submodules, which would appear as empty folders. If you need ZIP files, you will need to find the submodule repositories (e.g. via GitHub) and download them individually.


Apart from that, there is the possibility to git-clone the GitHub repository to your disk. This has the advantage that it allows to version-control any changes you want to make to the dataset and to ask for your changes to be included ("merged") in a future version.
DOI: 10.5281/zenodo.8356117
title: Ludwig van Beethoven - Piano Sonatas (A corpus of annotated scores)

description: This corpus of annotated MuseScore files has been created within the DCML corpus initiative and employs the DCML harmony annotation standard. It is one out of nine similar corpora that have been grouped together to An Annotated Corpus of Tonal Piano Music from the Long 19th Century which comes with a data report that is currently under review.


The dataset lives on GitHub (link under "Related identifiers") and is stored on Zenodo purely for conservation and automatic DOI generation for new GitHub releases. For technical reasons, we include only brief, generic instructions on how to use the data. For more detailed documentation, please refer to the dataset's GitHub page.


What is included


The dataset includes annotated MusicScores .mscx files that have been created with MuseScore 3.6.2 and can be opened with any MuseScore 3, or later version. Apart from that, the score information (measures, notes, harmony labels) have been extracted in the form of TSV files which can be found respectively in the folders measures, notes, and harmonies. They have been extracted with the Python library ms3 and its documentation has a column glossary for looking up the meaning of a column.


Getting the data


You can download the dataset as a ZIP file from Zenodo or GitHub. Please note that these automatically generated ZIP files do not include submodules, which would appear as empty folders. If you need ZIP files, you will need to find the submodule repositories (e.g. via GitHub) and download them individually.


Apart from that, there is the possibility to git-clone the GitHub repository to your disk. This has the advantage that it allows to version-control any changes you want to make to the dataset and to ask for your changes to be included ("merged") in a future version.