cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7500087
title: Annotated Beethoven Corpus (ABC) 2.1

description: 4.5 years after its first publication (see below), this is the first revised version of the ABC. In the meantime, the [DCML corpus initiative](https://www.epfl.ch/labs/dcml/projects/corpus-project/) has advanced<br> and this update has as a main goal to harmonize the ABC with all other annotated corpora that have been and<br> will be published. This includes the following changes: ### Upgrade to MuseScore 3 * All scores have been converted to [MuseScore](https://musescore.org/download) 3.6.2 format and can be found in the folder `MS3`.<br> * The harmony labels have been moved to MuseScore's "Roman Numeral Analysis" layer of the left-hand staff. ### New folder and file structure * The `code` folder was removed since the old Julia code has been replaced by the Python library [ms3](https://pypi.org/project/ms3/).<br> * The MuseScore files are contained in `MS3` and for each movement there are a couple of other files available, identified by their file names:<br> * The folder `notes` contains one TSV file per movement with all note heads (not every note head represents an onset).<br> * The folder `measures` contains one TSV file per movement with all measure-like units<br> * The folder `harmonies` contains one TSV file per movement with all harmony annotation labels<br> * The folder `reviewed` contains two files per movement:<br> * A copy of the score where all out-of-label notes have been colored in red; additionally, modified labels ( w.r.t. v1.0) are shown in these files in a diff-like manner (removed in red, added in green).<br> * A copy of the harmonies TSV with six added columns that reflect the coloring of out-of-label notes ("coloring reports")<br> * The file `warnings.log` lists those labels where over 60 % of notes within the label's segment are not expressed<br> by the label. Potentially, most of them are semantically incorrect. The folders are automatically kept up to date by the [dcml_corpus_workflow](https://github.com/DCMLab/dcml_corpus_workflow)<br> which calls the command `ms3 review -M -N -X -D` on every change. Information on what the columns in the TSV files contain can be found in the [documentation for ms3](https://johentsch.github.io/ms3/columns). ### Changes to the data **A full diff of all changes applied with version 2.0 can be seen [here](https://github.com/DCMLab/ABC/commit/8bd699a9b5b00dba3214c6626575f8368279b965).** * The scores have been aligned by [tunescribers.com](https://tunescribers.com/) with the Henle and Breitkopf editions<br> provided in the `pdf` folder and indicated in its README.<br> * Systematic changes to the harmony labels:<br> * With the harmony labels moved to the Roman Numeral Analysis layer, no initial `.` are needed anymore.<br> * `V9` is not part of the DCML harmony annotation standard and has been replaced by `V7(9)` or `V7(+9)`.<br> * Corrected `vii` chords in major keys that had often been wrongly labeled as `#vii`.<br> * Obvious errors have been corrected in many places. Thanks to @craigsapp, @lancioni, @malcolmsailor, @MarkGotham, @napulen and @tymoczko<br> for reporting quite a few of them!
DOI: 10.5281/zenodo.8326098
title: DCMLab/ABC: The Annotated Beethoven Corpus Version (v2.2)

description: The ABC dataset consists of expert harmonic analyses of all Beethoven string quartets (opp. 18, 59, 74, 95, 127, 130, 131, 132, 135, composed between 1800 and 1826), encoded in a human- and machine-readable format (MuseScore format). Using a modified Roman Numeral notation, the dataset includes the common music-theoretical set of harmonic features such as key, chordal root, chord inversion, chord extensions, suspensions, and others. The accompanying Data Report has been published by Frontiers in Digital Humanities.
DOI: 10.57760/sciencedb.21202
title: The effects of spatial scales on the in situ photometric analysis of the Chang'e-4 landing region
title: The effects of spatial scales on the in situ photometric analysis of the Chang'e-4 landing region

description: This file includes the data used in the paper.
description: This file includes the data used in the paper.
DOI: 10.57760/sciencedb.21200
title: The MTDDH dataset for quality evaluation of pelvic X-ray and diagnosis of developmental dysplasia of the hip
title: The MTDDH dataset for quality evaluation of pelvic X-ray and diagnosis of developmental dysplasia of the hip

description: 发育性髋关节发育不良 （DDH） 是小儿骨科中最常见的髋关节疾病之一。由人工智能技术提供支持的自动诊断工具可以帮助临床医生诊断 DDH。我们构建了一个名为 MTDDH 的数据集，它由两个子数据集组成。数据集1 由 1,250 张盆腔 X 射线图像组成，用四个不同的区域注释，用于盆腔 X 射线的质量评估，以及 DDH 诊断支持的八个关键点。数据集2 包括 906 张盆腔 X 射线图像，仅用与 DDH 诊断辅助相关的 8 个关键点进行注释。MTDDH 是第一个专为盆腔 X 线质量评估而设计的数据集，它还提供了最广泛的 8 个关键点（通常为 6 个关键点）来帮助 DDH 诊断，从而满足了对更精确诊断准确性的需求。
description: 发育性髋关节发育不良 （DDH） 是小儿骨科中最常见的髋关节疾病之一。由人工智能技术提供支持的自动诊断工具可以帮助临床医生诊断 DDH。我们构建了一个名为 MTDDH 的数据集，它由两个子数据集组成。数据集1 由 1,250 张盆腔 X 射线图像组成，用四个不同的区域注释，用于盆腔 X 射线的质量评估，以及 DDH 诊断支持的八个关键点。数据集2 包括 906 张盆腔 X 射线图像，仅用与 DDH 诊断辅助相关的 8 个关键点进行注释。MTDDH 是第一个专为盆腔 X 线质量评估而设计的数据集，它还提供了最广泛的 8 个关键点（通常为 6 个关键点）来帮助 DDH 诊断，从而满足了对更精确诊断准确性的需求。
DOI: 10.57760/sciencedb.j00214.00124
title: Carbon dioxide emission data set for 11 countries in Southeast Asia and South Asia from 2010 to 2020
title: 东南亚、南亚11国2010年—2020年二氧化碳排放数据集

description: Data Description: Through multi-source data fusion, considering multiple countries, spatial scales, energy types (including biomass), and unifying economic sectors, a carbon dioxide emission inventory for 11 Southeast Asian and South Asian countries (including 7 Southeast Asian countries including Myanmar, Cambodia, Laos, Philippines, Indonesia, Thailand, Malaysia, and 4 South Asian countries including Pakistan, India, Sri Lanka, and Iran) from 2010 to 2020 was constructed to identify the multidimensional heterogeneity of carbon dioxide emissions in each country. This database provides scientific insights to support developing economies in crafting both short- and long-term energy transition strategies, as well as designing context-specific CO₂ emission reduction policies at the national and regional levels.
description: Data Description: Through multi-source data fusion, considering multiple countries, spatial scales, energy types (including biomass), and unifying economic sectors, a carbon dioxide emission inventory for 11 Southeast Asian and South Asian countries (including 7 Southeast Asian countries including Myanmar, Cambodia, Laos, Philippines, Indonesia, Thailand, Malaysia, and 4 South Asian countries including Pakistan, India, Sri Lanka, and Iran) from 2010 to 2020 was constructed to identify the multidimensional heterogeneity of carbon dioxide emissions in each country. This database provides scientific insights to support developing economies in crafting both short- and long-term energy transition strategies, as well as designing context-specific CO₂ emission reduction policies at the national and regional levels.
DOI: 10.57760/sciencedb.21204
title: cross-domain-dataset
title: cross-domain-dataset

description: A total of 63461 sets of point cloud registration data pairs were produced，significantly improves the generalization and provides reference data for cross-domain research on point cloud registration.
description: A total of 63461 sets of point cloud registration data pairs were produced，significantly improves the generalization and provides reference data for cross-domain research on point cloud registration.
DOI: 10.57760/sciencedb.j00186.00600
title: Back-n neutron energy spectrum data and data processing code
title: Back-n neutron energy spectrum data and data processing code

description: The Back-n facility employs backscattering techniques to generate a broad spectrum of white neutrons, which are essential for precise measurements of neutron-induced reactions. Equipped with advanced detectors such as the Light Particle Detector Array (LPDA) and the Fission Ionization Chamber Detector (FIXM), the facility achieves high-precision data acquisition through a general-purpose electronics system. Data are managed and stored in a hierarchical system supported by the National High Energy Physics Science Data Center (NHEPDC), ensuring long-term preservation and efficient access. The data from Back-n experiments significantly contribute to nuclear physics, reactor design, astrophysics, and medical physics, enhancing the understanding of nuclear processes and supporting interdisciplinary research.
description: The Back-n facility employs backscattering techniques to generate a broad spectrum of white neutrons, which are essential for precise measurements of neutron-induced reactions. Equipped with advanced detectors such as the Light Particle Detector Array (LPDA) and the Fission Ionization Chamber Detector (FIXM), the facility achieves high-precision data acquisition through a general-purpose electronics system. Data are managed and stored in a hierarchical system supported by the National High Energy Physics Science Data Center (NHEPDC), ensuring long-term preservation and efficient access. The data from Back-n experiments significantly contribute to nuclear physics, reactor design, astrophysics, and medical physics, enhancing the understanding of nuclear processes and supporting interdisciplinary research.
DOI: 10.57760/sciencedb.21224
title: Novel disordered Nd3+:Ca(Gd0.5Y0.5)Al3O7 melilite crystal: growth, spectroscopic properties, continuous wave and tunable laser performance
title: Novel disordered Nd3+:Ca(Gd0.5Y0.5)Al3O7 melilite crystal: growth, spectroscopic properties, continuous wave and tunable laser performance

description: This is the dataset of the paper entitled "Novel disordered Nd3+:Ca(Gd0.5Y0.5)Al3O7 melilite crystal: growth, spectroscopic properties, continuous wave and tunable laser performance".
description: This is the dataset of the paper entitled "Novel disordered Nd3+:Ca(Gd0.5Y0.5)Al3O7 melilite crystal: growth, spectroscopic properties, continuous wave and tunable laser performance".
DOI: 10.57760/sciencedb.j00124.00169
title: Constructing graphite-CeO2 interfaces to enhance the photothermal activity for solar-driven dry reforming of methane
title: Constructing graphite-CeO2 interfaces to enhance the photothermal activity for solar-driven dry reforming of methane

description: CeO2 based semiconductor are widely used in solar-driven photothermal catalytic dry reforming of methane (DRM) reaction, but still suffer from low activity and low light utilization efficiency. This study developed graphite-CeO2 interfaces to enhance solar-driven photothermal catalytic DRM. Compared with carbon nanotubes-modified CeO2 (CeO2-CNT), graphite-modified CeO2 (CeO2-GRA) constructed graphite-CeO2 interfaces with distortion in CeO2, leading to the formation abundant oxygen vacancies. These graphite-CeO2 interfaces with oxygen vacancies enhanced optical absorption and promoted the generation and separation of photogenerated carriers. The high endothermic capacity of graphite elevated the catalyst surface temperature from 592.1 ℃ to 691.3 ℃, boosting light-to-thermal conversion. The synergy between photogenerated carriers and localized heat enabled Ni/CeO2-GRA to achieve a CO production rate of 9985.6 mmol gcat.-1 h-1 (vs. 7192.4 for Ni/ CeO2) and a light-to-fuel efficiency of 21.8 % (vs. 13.8 % for Ni/ CeO2). This work provides insights for designing graphite-semiconductor interfaces to advance photothermal catalytic efficiency. 
description: CeO2 based semiconductor are widely used in solar-driven photothermal catalytic dry reforming of methane (DRM) reaction, but still suffer from low activity and low light utilization efficiency. This study developed graphite-CeO2 interfaces to enhance solar-driven photothermal catalytic DRM. Compared with carbon nanotubes-modified CeO2 (CeO2-CNT), graphite-modified CeO2 (CeO2-GRA) constructed graphite-CeO2 interfaces with distortion in CeO2, leading to the formation abundant oxygen vacancies. These graphite-CeO2 interfaces with oxygen vacancies enhanced optical absorption and promoted the generation and separation of photogenerated carriers. The high endothermic capacity of graphite elevated the catalyst surface temperature from 592.1 ℃ to 691.3 ℃, boosting light-to-thermal conversion. The synergy between photogenerated carriers and localized heat enabled Ni/CeO2-GRA to achieve a CO production rate of 9985.6 mmol gcat.-1 h-1 (vs. 7192.4 for Ni/ CeO2) and a light-to-fuel efficiency of 21.8 % (vs. 13.8 % for Ni/ CeO2). This work provides insights for designing graphite-semiconductor interfaces to advance photothermal catalytic efficiency.
DOI: 10.15468/dl.vrq2et
title: Occurrence Download

description: A dataset containing 30944 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amanita phalloides (Vaill. ex Fr.) Link"
 ]
}

 The dataset includes 30944 records from 340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001224-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.21230
title: All the original data of the article
title: 文章全部原始数据

description: Including the infrared, ultraviolet, particle size, potential, SEM images of GO-BPEI nanofiber membranes, diameter statistics, EDS images, infrared, swelling, water vapor transmission rate, mechanical properties, photothermal performance, antibacterial performance, and cytocompatibility.
description: Including the infrared, ultraviolet, particle size, potential, SEM images of GO-BPEI nanofiber membranes, diameter statistics, EDS images, infrared, swelling, water vapor transmission rate, mechanical properties, photothermal performance, antibacterial performance, and cytocompatibility.
DOI: 10.57760/sciencedb.21232
title: CELLULOSE NANOCRYSTAL EXTRACTION FROM OKRA AND HEMP FIBERS
title: CELLULOSE NANOCRYSTAL EXTRACTION FROM OKRA AND HEMP FIBERS

description: In this study, okra and hemp plants were subjected to nanocellulose extraction processes. Via biological degumming, bast and fruit fibers were separated from okra plants and bast fibers from hemp plants exposing the stems. The bast, fruit and stem fibers were cleaned from extracellulosic components by use of an environmentally-friendly chlorine-free procedure. The isolated cellulose was subsequently broken into nanocrystals through acidic hydrolysis. The effects of the applied treatments on fibers’ morphological, chemical, crystal and thermal properties have been investigated.
description: In this study, okra and hemp plants were subjected to nanocellulose extraction processes. Via biological degumming, bast and fruit fibers were separated from okra plants and bast fibers from hemp plants exposing the stems. The bast, fruit and stem fibers were cleaned from extracellulosic components by use of an environmentally-friendly chlorine-free procedure. The isolated cellulose was subsequently broken into nanocrystals through acidic hydrolysis. The effects of the applied treatments on fibers’ morphological, chemical, crystal and thermal properties have been investigated.
DOI: 10.57760/sciencedb.21235
title: Raw_Data(Anonymous)
title: Raw_Data(Anonymous)

description: Raw data exported from imotions system, and eye tracking calculation data exported from aSeeStudio system
description: Raw data exported from imotions system, and eye tracking calculation data exported from aSeeStudio system
DOI: 10.57760/sciencedb.psych.00493
title: The effects of top-down and salience on category-based attentional selection
title: 自上而下和显著性加工对类别注意选择的影响

description: This dataset consists of three parts. The brain imaging data acquisition instrument adopts Siemens 3.0T Magnetic Resonance Imaging System (Siemens 3.0T Magnetom Prisma, Germany). The first part covers the experimental procedures and behavioral data during the practice phase and formal experimental phase. Stimulating presentation is controlled by E-Prime 2.0 running under Microsoft Windows 7. The second part contains the group-level analysis results of the fMRI data set. The third part is the data processing script, which uses fMRI data processing software SPM12 based on MATLAB to preprocess and analyze the fMRI data in task state.
description: This dataset consists of three parts. The brain imaging data acquisition instrument adopts Siemens 3.0T Magnetic Resonance Imaging System (Siemens 3.0T Magnetom Prisma, Germany). The first part covers the experimental procedures and behavioral data during the practice phase and formal experimental phase. Stimulating presentation is controlled by E-Prime 2.0 running under Microsoft Windows 7. The second part contains the group-level analysis results of the fMRI data set. The third part is the data processing script, which uses fMRI data processing software SPM12 based on MATLAB to preprocess and analyze the fMRI data in task state.
DOI: 10.57760/sciencedb.21243
title: Hematological parameters of αβ-thalassemia carriers
title: Hematological parameters of αβ-thalassemia carriers

description: Baseline demographic and disease characteristics of αβ-thalassemia carriers collected in our study.
description: Baseline demographic and disease characteristics of αβ-thalassemia carriers collected in our study.
DOI: 10.57760/sciencedb.21249
title: Data-NFG/BDD-Apt
title: Data-NFG/BDD-Apt

description: NFG/BDD-Apt
description: NFG/BDD-Apt
DOI: 10.57760/sciencedb.21250
title: Transcriptome of a novel Carassius allopolypoid and its parents after Carassius herpesvirus infection
title: Transcriptome of a novel Carassius allopolypoid and its parents after Carassius herpesvirus infection

description: The data-set contains 18 samples of head kindy transcriptome of Carassius gibelio(Cg),M. amblycephala(Ma) and SA7n(CaA7n) at control and infected group.
description: The data-set contains 18 samples of head kindy transcriptome of Carassius gibelio(Cg),M. amblycephala(Ma) and SA7n(CaA7n) at control and infected group.
DOI: 10.57760/sciencedb.21248
title: CESM-CARMA model output
title: CESM-CARMA model output

description: There are two simulations based on CESM-CARMA with and without the impact of volcanic eruptions and wildfires. The aerosol composition data are included (SOA, pure sulfate, and mixing aerosols).
description: There are two simulations based on CESM-CARMA with and without the impact of volcanic eruptions and wildfires. The aerosol composition data are included (SOA, pure sulfate, and mixing aerosols).
DOI: 10.57760/sciencedb.j00052.00151
title: The effects of arousal and valence on children's judgment of learning in directed forgetting
title: 唤醒度和效价对小学生定向遗忘学习判断的影响

description: Item-method directed forgetting judgment of learning task was used to investigate how arousal and valence affects children's judgment of learning (JOL) in directed forgetting (DF). Results showed that JOL value of to-be-remembered (TBR) items was significantly higher than that of to-be-forgotten (TBF) items. The absolute accuracy of JOL in 5th grade was significantly better than that in 3th grade. The JOL value of high arousal TBR items was significantly higher than that of low arousal TBR items. Arousal had no effect on the JOL of TBF items. The JOL value of neutral photographs was significantly higher than that of negative photographs in 5th grade. Valence had no effect on the JOL in 3th grade. Results show that children's JOL is affected by DF instructions, material arousal and valence, and increases with age.
description: Item-method directed forgetting judgment of learning task was used to investigate how arousal and valence affects children's judgment of learning (JOL) in directed forgetting (DF). Results showed that JOL value of to-be-remembered (TBR) items was significantly higher than that of to-be-forgotten (TBF) items. The absolute accuracy of JOL in 5th grade was significantly better than that in 3th grade. The JOL value of high arousal TBR items was significantly higher than that of low arousal TBR items. Arousal had no effect on the JOL of TBF items. The JOL value of neutral photographs was significantly higher than that of negative photographs in 5th grade. Valence had no effect on the JOL in 3th grade. Results show that children's JOL is affected by DF instructions, material arousal and valence, and increases with age.
DOI: 10.57760/sciencedb.21251
title: Raw data of the paper "Anchoring Cu sites in a hierarchical single-crystalline ZSM-5 zeolite for enhanced diffusion and benzene oxidation"
title: Raw data of the paper "Anchoring Cu sites in a hierarchical single-crystalline ZSM-5 zeolite for enhanced diffusion and benzene oxidation"

description: This is the Raw TEM images of Figure 1
description: This is the Raw TEM images of Figure 1
DOI: 10.57760/sciencedb.j00124.00173
title: 《tudy on the evolution of hydrogen cyanide generated by polyacrylonitrile pyrolysis based on TG-LAS》database
title: 《tudy on the evolution of hydrogen cyanide generated by polyacrylonitrile pyrolysis based on TG-LAS》database

description: The online detection system for polyacrylonitrile (PAN) pyrolysis hydrogen cyanide (HCN) gas using self built thermogravimetric tunable semiconductor laser absorption spectroscopy technology. Thermogravimetric data is obtained and exported through the upper computer software, while tunable semiconductor laser absorption spectroscopy detection data is obtained and exported through the upper computer serial port screen. Generate data using EXCEL software and Origin software to process and obtain data graphs.
description: The online detection system for polyacrylonitrile (PAN) pyrolysis hydrogen cyanide (HCN) gas using self built thermogravimetric tunable semiconductor laser absorption spectroscopy technology. Thermogravimetric data is obtained and exported through the upper computer software, while tunable semiconductor laser absorption spectroscopy detection data is obtained and exported through the upper computer serial port screen. Generate data using EXCEL software and Origin software to process and obtain data graphs.
DOI: 10.57760/sciencedb.21254
title: SLSTM-Based Covariance Prediction and Its Application in Hierarchical Risk Parity Asset Allocation
title: 基于SLSTM的协方差预测及其在分层风险平价资产配置中的应用

description: In this paper, we integrate the selective state space model (SSSM) with the long short term memory (LSTM) neural network to construct a selective long short term memory (SLSTM) neural network model. We propose a novel dynamic covariance matrix prediction method and apply it to improve the hierarchical risk parity (HRP) asset allocation strategy. 
description: In this paper, we integrate the selective state space model (SSSM) with the long short term memory (LSTM) neural network to construct a selective long short term memory (SLSTM) neural network model. We propose a novel dynamic covariance matrix prediction method and apply it to improve the hierarchical risk parity (HRP) asset allocation strategy.