cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.28429
title: Multimodal Speech Database for Oral and Oropharyngeal Cancers
title: Multimodal Speech Database for Oral and Oropharyngeal Cancers

description: We present MSDOC (Multimodal Speech Database for Oral and Oropharyngeal Cancers), a comprehensive longitudinal speech database comprising pre- and post-operative audio recordings from 209 patients diagnosed with oral cavity (OC) and oropharyngeal (OPC) cancers. The database includes sustained vowel productions (/a/, /i/, /u/, /o/, /y/, /e/) as well as performances on a standardized 43-item Consonant-based Articulation Assessment Battery (CAAB), specifically developed for Mandarin Chinese. MSDOC is enriched with extensive biological data, including tumor staging, immunoinflammatory indices, patient-reported outcomes, and functional assessments. These biological variables are systematically organized into audio-level metadata files to ensure traceability and data integration. To the best of our knowledge, MSDOC represents the largest disease-specific speech database for OC and OPC, offering significant potential for applications in patient education, diagnostic support, prognostic modeling, and individualized speech rehabilitation.
description: We present MSDOC (Multimodal Speech Database for Oral and Oropharyngeal Cancers), a comprehensive longitudinal speech database comprising pre- and post-operative audio recordings from 209 patients diagnosed with oral cavity (OC) and oropharyngeal (OPC) cancers. The database includes sustained vowel productions (/a/, /i/, /u/, /o/, /y/, /e/) as well as performances on a standardized 43-item Consonant-based Articulation Assessment Battery (CAAB), specifically developed for Mandarin Chinese. MSDOC is enriched with extensive biological data, including tumor staging, immunoinflammatory indices, patient-reported outcomes, and functional assessments. These biological variables are systematically organized into audio-level metadata files to ensure traceability and data integration. To the best of our knowledge, MSDOC represents the largest disease-specific speech database for OC and OPC, offering significant potential for applications in patient education, diagnostic support, prognostic modeling, and individualized speech rehabilitation.
DOI: 10.15468/dl.zcdhmg
title: Occurrence Download

description: A dataset containing 406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sloetiopsis usambarensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 406 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005171-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.22449
title: Plot level micobiome data
title: Plot level micobiome data

description: 57 fungal and 57 bacterial microbiome data
description: 57 fungal and 57 bacterial microbiome data
DOI: 10.57760/sciencedb.36396
title: Impact of refractive index heterogeneity on stimulated Brillouin scattering microscopy
title: Impact of refractive index heterogeneity on stimulated Brillouin scattering microscopy

description: This dataset includes, experimental and simulated SBS image data, alongside fiber-coupling efficiency data (numerical and experimental) for system calibration assessment.
description: This dataset includes, experimental and simulated SBS image data, alongside fiber-coupling efficiency data (numerical and experimental) for system calibration assessment.
DOI: 10.57760/sciencedb.j00289.00035
title: The Relationship between Firm AI Policy Attention and AI Innovation
title: 企业对AI政策关注与AI创新的关系研究

description: Based on panel data of Chinese A-share manufacturing listed companies from 2016 to 2021, this study explores the attention of enterprises to AI policies and their AI innovation performance. Used for article reproduction, including do files and DTA files 
description: Based on panel data of Chinese A-share manufacturing listed companies from 2016 to 2021, this study explores the attention of enterprises to AI policies and their AI innovation performance. Used for article reproduction, including do files and DTA files
DOI: 10.57760/sciencedb.xbyxb.00199
title: 论文《收缩压变异性和睡眠模式对卒中的联合作用》相关补充数据集
title: 论文《收缩压变异性和睡眠模式对卒中的联合作用》相关补充数据集

description: 摘要收缩压变异性（Systolic blood pressure variability， SBPV）和不良睡眠模式已被确定为中风的危险因素，但二者同时存在是否会加重卒中风险目前暂不可知。本研究旨在探讨这两种因素对脑卒中的联合作用。本研究基于英国生物样本库，这是一项大型前瞻性队列研究，共从数据库中纳入了219 376名参与者。SBPV为研究前5年内收缩压测量≥3次，范围在60 ~ 300 mmHg所有记录的标准差（SD）。根据SBPV的标准差将研究对象分为四分位数组（第1、2、3、4分位数）。基线时采用问卷调查收集睡眠类型、睡眠时长、失眠、打鼾和日间嗜睡5个睡眠特征。研究对象每遇到一个健康睡眠特征就得1分，最高累积得分为5分，然后将其分为3组：健康睡眠模式组（4 ~ 5分）、中等睡眠模式组（2 ~ 3分）和不良睡眠模式组（0 ~ 1分）。采用Cox比例风险模型评估SBPV和睡眠模式与卒中的联合效应。在完全调整协变量后，与SBPV位于第1四分位的健康睡眠模式参与者相比，处于中等睡眠模式且SBPV位于第4四分位的参与者卒中风险增加30% （95% CI 1.1-1.5）。不良睡眠模式和SBPV处于第4分位的参与者卒中风险增加80% （95% CI 1.5-2.2）。不良睡眠模式和SBPV位于第3四分位数的人卒中风险增加40% （95% CI 1.2-1.6）。SBPV与睡眠模式存在相乘交互作用（P &lt; 0.05）。SBPV和不良睡眠模式对脑卒中风险存在相乘交互作用，提示同时改善SBPV和睡眠模式的重要性。
description: 摘要收缩压变异性（Systolic blood pressure variability， SBPV）和不良睡眠模式已被确定为中风的危险因素，但二者同时存在是否会加重卒中风险目前暂不可知。本研究旨在探讨这两种因素对脑卒中的联合作用。本研究基于英国生物样本库，这是一项大型前瞻性队列研究，共从数据库中纳入了219 376名参与者。SBPV为研究前5年内收缩压测量≥3次，范围在60 ~ 300 mmHg所有记录的标准差（SD）。根据SBPV的标准差将研究对象分为四分位数组（第1、2、3、4分位数）。基线时采用问卷调查收集睡眠类型、睡眠时长、失眠、打鼾和日间嗜睡5个睡眠特征。研究对象每遇到一个健康睡眠特征就得1分，最高累积得分为5分，然后将其分为3组：健康睡眠模式组（4 ~ 5分）、中等睡眠模式组（2 ~ 3分）和不良睡眠模式组（0 ~ 1分）。采用Cox比例风险模型评估SBPV和睡眠模式与卒中的联合效应。在完全调整协变量后，与SBPV位于第1四分位的健康睡眠模式参与者相比，处于中等睡眠模式且SBPV位于第4四分位的参与者卒中风险增加30% （95% CI 1.1-1.5）。不良睡眠模式和SBPV处于第4分位的参与者卒中风险增加80% （95% CI 1.5-2.2）。不良睡眠模式和SBPV位于第3四分位数的人卒中风险增加40% （95% CI 1.2-1.6）。SBPV与睡眠模式存在相乘交互作用（P &lt; 0.05）。SBPV和不良睡眠模式对脑卒中风险存在相乘交互作用，提示同时改善SBPV和睡眠模式的重要性。
DOI: 10.57760/sciencedb.36446
title: Supplementary data
title: Supplementary data

description: Table S1 Trace Element Composition of Sphalerite from the Honghuagling Pb-Zn Deposit (×10－6)Table S2 Sulfur Isotope Composition of the Honghuangling Pb-Zn Deposit and Its Surrounding Area.Table S3 Lead Isotope Compositions of the Honghuangling Pb-Zn Deposit
description: Table S1 Trace Element Composition of Sphalerite from the Honghuagling Pb-Zn Deposit (×10－6)Table S2 Sulfur Isotope Composition of the Honghuangling Pb-Zn Deposit and Its Surrounding Area.Table S3 Lead Isotope Compositions of the Honghuangling Pb-Zn Deposit
DOI: 10.57760/sciencedb.35829
title: HPRC samples R9.4.1 bam files (19)
title: HPRC samples R9.4.1 bam files (19)

description: Raw basecalled BAM files were downloaded from human pangenome reference consortium https://s3-us-west-2.amazonaws.com/human-pangenomics/index.html?prefix=working/.BAM files were re-aligned to the GRCh38 reference genome (GenBank assembly ID GCA_000001405.15) using Dorado v0.7.2 with command "dorado aligner -t 80 --mm2-preset "-x map-ont" ${reference.fa} ${input.bam} --output-dir ${outdir}/${output}", followed by catting, sorting , and indexing with Samtools.
description: Raw basecalled BAM files were downloaded from human pangenome reference consortium https://s3-us-west-2.amazonaws.com/human-pangenomics/index.html?prefix=working/.BAM files were re-aligned to the GRCh38 reference genome (GenBank assembly ID GCA_000001405.15) using Dorado v0.7.2 with command "dorado aligner -t 80 --mm2-preset "-x map-ont" ${reference.fa} ${input.bam} --output-dir ${outdir}/${output}", followed by catting, sorting , and indexing with Samtools.
DOI: 10.15468/dl.6bn22d
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbronia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 164 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005172-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.36469
title: Whole-rock geochemical data of the sedimentary rocks of the lower Cambrian Qiongzhusi Formation, the Yinmachi section, central Yunnan
title: 滇中地区饮马池剖面下寒武统筇竹寺组沉积岩全岩地球化学数据

description: This dataset covers geochemical data and analytical information of 20 sedimentary rock samples from the Cambrian Qiongzhusi Formation in the Yinmachi section of central Yunnan. Specifically, it includes tables for major element content (Table 1), trace element content (Table 2), rare earth element content (Table 3), as well as detailed calculation steps for relevant parameters. The testing work of whole rock geochemical elements was entrusted to Guangzhou Ausilicon Mineral Laboratory. Before testing, the rock samples were systematically pre processed. The specific process is as follows: first, the original rock samples are put into a small crusher for preliminary crushing, and then the crushed rock particles are further crushed in a tungsten carbide mortar and a vibrating crusher until the sample particle size reaches below 200 mesh to meet the experimental requirements of subsequent element content testing. During the testing process, the content of major elements was detected using PANalytical brand X-ray fluorescence spectrometer (XRF), with an analysis accuracy of better than 5%; The content of trace elements and rare earth elements was detected using Agilent brand inductively coupled plasma mass spectrometer (ICP-MS), with an analysis accuracy of better than 10%. The entire experimental process, testing methods, and analysis accuracy strictly follow the national standard GB/T 14506.14-2010, ensuring the reliability and scientificity of the dataset. 
description: This dataset covers geochemical data and analytical information of 20 sedimentary rock samples from the Cambrian Qiongzhusi Formation in the Yinmachi section of central Yunnan. Specifically, it includes tables for major element content (Table 1), trace element content (Table 2), rare earth element content (Table 3), as well as detailed calculation steps for relevant parameters. The testing work of whole rock geochemical elements was entrusted to Guangzhou Ausilicon Mineral Laboratory. Before testing, the rock samples were systematically pre processed. The specific process is as follows: first, the original rock samples are put into a small crusher for preliminary crushing, and then the crushed rock particles are further crushed in a tungsten carbide mortar and a vibrating crusher until the sample particle size reaches below 200 mesh to meet the experimental requirements of subsequent element content testing. During the testing process, the content of major elements was detected using PANalytical brand X-ray fluorescence spectrometer (XRF), with an analysis accuracy of better than 5%; The content of trace elements and rare earth elements was detected using Agilent brand inductively coupled plasma mass spectrometer (ICP-MS), with an analysis accuracy of better than 10%. The entire experimental process, testing methods, and analysis accuracy strictly follow the national standard GB/T 14506.14-2010, ensuring the reliability and scientificity of the dataset.
DOI: 10.57760/sciencedb.36500
title: Data for Intelligent Prediction of Time-varying Temperature Field for Thermal Protection Structures
title: Data for Intelligent Prediction of Time-varying Temperature Field for Thermal Protection Structures

description: This is data for Intelligent Prediction of Time-varying Temperature Field for Thermal Protection Structures.Upload this data in order to provide an open-source data DOI to the submitting journal
description: This is data for Intelligent Prediction of Time-varying Temperature Field for Thermal Protection Structures.Upload this data in order to provide an open-source data DOI to the submitting journal
DOI: 10.57760/sciencedb.25170
title: Photovoltaic properties of novel quaternary chalcogenides based on high-throughput screening and first-principles calculations
title: Photovoltaic properties of novel quaternary chalcogenides based on high-throughput screening and first-principles calculations

description: This dataset mainly consists of the Energy Above Convex Hull (Ehull), energy band data, and SLME data relative to the energy difference of the stability convex packet mentioned in the article. It mainly contains the following four folders. File 1 is the thermodynamic stability calculation data of the material (“data of Ehull, .csv”); file 2 is the PBE bandgap calculation data of the material (“data of PBEbandgap, .csv”); file 3 is the calculated data of HSE bandgap of the material (“data of HSEbandgap, .csv”); File 4 is the calculated data of Spectral Limit Maximum Efficiency ((“data of SLME, .csv”).
description: This dataset mainly consists of the Energy Above Convex Hull (Ehull), energy band data, and SLME data relative to the energy difference of the stability convex packet mentioned in the article. It mainly contains the following four folders. File 1 is the thermodynamic stability calculation data of the material (“data of Ehull, .csv”); file 2 is the PBE bandgap calculation data of the material (“data of PBEbandgap, .csv”); file 3 is the calculated data of HSE bandgap of the material (“data of HSEbandgap, .csv”); File 4 is the calculated data of Spectral Limit Maximum Efficiency ((“data of SLME, .csv”).
DOI: 10.15468/dl.69z588
title: Occurrence Download

description: A dataset containing 1523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorocea bonplandii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1523 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005173-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txjqdx
title: Occurrence Download

description: A dataset containing 23805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enchytraeus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23805 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005175-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2290387051
title: Structural Biology at EMBL Grenoble, IBS-CIBB, IAB and ILL

description: This proposal clusters macromolecular crystallography (MX) and biological small angle X-ray scattering (bioSAXS) projects at the EMBL Grenoble, IBS-CIBB, IAB and ILL. It combines groups working on different topics with a major focus on cell signaling proteins, ubiquitination pathways, nucleic acid-protein complexes, sarcomere development, host-pathogen interactions and drug discovery. The BAG group has been quite productive this last year/reporting period, as summarized in the report, with many results still being further analysed and follow-up experiments planned. Most notably, the BAG has produced 7 PDB depositions, 1 SASDB deposition and 10 publications in peer reviewed journals. The proposers have long-standing experience in the use, as well as the development of beam lines for MX and bioSAXS, and have participated in successive successful BAG applications over the years, mostly at the ESRF. The BAG responsible is again Andrew McCarthy (EMBL Grenoble) for this application round.
DOI: 10.15151/esrf-es-2304061447
title: Munich Crystallography BAG

description: The diverse groups of the Munich Crystallography BAG study a far range of subjects, reaching from structural aspects of fundamental cellular processes - such as RNA processing, protein folding and degradation, DNA repair, chromatin remodelling, enzymes - to the design of foldamers. The research groups are located at the LMU and TUM universities in Munich, at the Max-Planck-Institute of Biochemistry, Martinsried, and the Helmholtz Center, Neuherberg. Out-groups are located at the universities in Darmstadt and Ulm, Germany. The research groups use X-ray crystallography, single-particle cryo-EM, cryo-ET, SAXS, NMR and HDX and XL-MS mass-spectrometry for structural studies.
DOI: 10.6084/m9.figshare.31177993
title: Baseline D-dimer as a predictor of immune checkpoint inhibitor efficacy in cancer

description: Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment by enhancing antitumor immunity, yet durable responses are observed in only a fraction of patients. Identifying accessible and reliable biomarkers to predict therapeutic efficacy remains a critical unmet need. D-dimer, a fibrin degradation product reflecting systemic coagulation, has been associated with tumor progression and poor prognosis, but its predictive value in ICI-treated patients remains unclear. We conducted a systematic review and meta-analysis of studies evaluating baseline D-dimer in cancer patients receiving ICIs. Eligible studies reported outcomes including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), or disease control rate (DCR). Data extraction and quality assessment were performed independently, and pooled hazard and odds ratios were calculated. Sensitivity and subgroup analyses were conducted to evaluate the stability of findings and potential cutoff-dependent effects. Ten retrospective studies including 1,217 patients were analyzed. Elevated baseline D-dimer was significantly associated with worse OS (HR = 1.95, 95% CI: 1.62–2.36, <i>p</i> &lt; 0.001) and shorter PFS (HR = 2.03, 95% CI: 1.57–2.63, <i>p</i> &lt; 0.001). Higher D-dimer levels also correlated with lower ORR (OR = 0.42, 95% CI: 0.26–0.68, <i>p</i> &lt; 0.001) and DCR (OR = 0.18, 95% CI: 0.10–0.34, <i>p</i> &lt; 0.001). Sensitivity and subgroup analyses confirmed the robustness and consistency of these associations across tumor types, treatment regimens, and D-dimer thresholds. Baseline D-dimer is a readily measurable, cost-effective biomarker that predicts inferior outcomes in patients receiving ICIs. Its integration into clinical workflows may aid patient stratification and guide treatment decisions. Prospective multicenter studies are warranted to validate cutoff thresholds and further define its utility in optimizing immunotherapy efficacy.
DOI: 10.6084/m9.figshare.31177993.v1
title: Baseline D-dimer as a predictor of immune checkpoint inhibitor efficacy in cancer

description: Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment by enhancing antitumor immunity, yet durable responses are observed in only a fraction of patients. Identifying accessible and reliable biomarkers to predict therapeutic efficacy remains a critical unmet need. D-dimer, a fibrin degradation product reflecting systemic coagulation, has been associated with tumor progression and poor prognosis, but its predictive value in ICI-treated patients remains unclear. We conducted a systematic review and meta-analysis of studies evaluating baseline D-dimer in cancer patients receiving ICIs. Eligible studies reported outcomes including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), or disease control rate (DCR). Data extraction and quality assessment were performed independently, and pooled hazard and odds ratios were calculated. Sensitivity and subgroup analyses were conducted to evaluate the stability of findings and potential cutoff-dependent effects. Ten retrospective studies including 1,217 patients were analyzed. Elevated baseline D-dimer was significantly associated with worse OS (HR = 1.95, 95% CI: 1.62–2.36, <i>p</i> &lt; 0.001) and shorter PFS (HR = 2.03, 95% CI: 1.57–2.63, <i>p</i> &lt; 0.001). Higher D-dimer levels also correlated with lower ORR (OR = 0.42, 95% CI: 0.26–0.68, <i>p</i> &lt; 0.001) and DCR (OR = 0.18, 95% CI: 0.10–0.34, <i>p</i> &lt; 0.001). Sensitivity and subgroup analyses confirmed the robustness and consistency of these associations across tumor types, treatment regimens, and D-dimer thresholds. Baseline D-dimer is a readily measurable, cost-effective biomarker that predicts inferior outcomes in patients receiving ICIs. Its integration into clinical workflows may aid patient stratification and guide treatment decisions. Prospective multicenter studies are warranted to validate cutoff thresholds and further define its utility in optimizing immunotherapy efficacy.
DOI: 10.15151/esrf-es-2301223907
title: Self-assembly of biomimetic, linear and nonlinear photonic crystals

description: Photonic crystals (PhCs) produce nature’s most brilliant colors. While understanding their color-forming mechanisms has advanced, their evolution and biomimetic fabrication remain in their infancy. Our research explores how photonic crystals form in nature and how to engineer them biomimetically. We work with lipidic lyotropic liquid crystals from molecular building blocks found in butterflies and beetles. Additionally, we aim to create disordered and nonlinear photonic crystals from self-assembled nanosized blocks to study fundamental physics questions like inhibited spontaneous emission [1] and Anderson localization in three dimensions [2]. Analyzing their periodicities and phases helps design optimal photonic crystals. USAXS and SAXS provide a powerful, non-destructive tool for these parameters, complementing FIB tomography and cryo-TEM. We expect combining scattering and electron microscopy techniques to drive advances in fundamental physics and biomimetic PhC fabrication.
DOI: 10.15151/esrf-es-2301224258
title: Evaluation of strain effects at the quartz-glassy matrix interphase in fired ceramic body by nanosized beam

description: The present proposal is aimed at evaluate the strain effects at the interphase between quartz grains and glassy matrix in traditional ceramic bodies.
This goal can be achieved by mapping the quartz-glass interphase on a thin section sample, using a very small beam (about 150 nm) and collecting 2D diffraction images, both with a high resolution setup (large sample to detector distantance) and with pair distribution function approach (Qmax of at least 20 Ang-1). We want to measure two samples, corresponding to the same composition (50% clays, 30 % feldspar, 20% quartz) fired at three peak firing temperatures (i.e. 1100 and 1220°C), a parameter that appears to influence the quartz's level of strain in bulk sample. In our recent study in bulk samples, this effect appears to be addressed to the different thermal expansion coefficient of quartz and glass during the cooling step of the ceramic firing process and has been never investigated with such level of detail.
DOI: 10.15151/esrf-es-2313091537
title: Bragg coherent modulation imaging with large sample-to-modulator distance

description: We have demonstrated a new imaging approach, Bragg Coherent Modulation Imaging (BCMI), at the ESRF ID01 beamline and shown its advantages over conventional Bragg Coherent Diffraction Imaging (BCDI). In this proposal, we aim to address a current limitation of BCMI, namely the restricted sample-to-modulator distance, which has so far hindered in-situ experiments. To overcome this limitation, a newly designed wavefront modulator will be implemented and tested.
DOI: 10.15151/esrf-es-2318151192
title: PDF measurements of porous materials

description: PDF measurements of zeolite and MOF powders
DOI: 10.5281/zenodo.18410309
title: Respiratorische Synzytialvirusfälle in Deutschland

description: Im Datensatz "Respiratorische Synzytialvirusfälle in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu Infektionen mit dem Respiratorischen Synzytial-Virus (RSV) nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Bundeslandebene zu Infektionen nach Falldefinition des Robert Koch-Instituts, differenziert nach Altersgruppen. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.15151/esrf-es-2322950598
title: WAXS SAXS measuremenrs on glyco amino glycan solutions and films

description: Films and solutions of chitosan and others glyco amino glycan will be measured by WAXS and SAXS , for some of them as a function of the temperature.