cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7945080
title: forpus_cyanopygius_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7945079
title: forpus_cyanopygius_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7925612
title: Robust Data-driven Metallicities for 175 Million Stars from Gaia XP Spectra

description: This is the dataset accompanying Andrae et al (2023), "Robust Data-driven Metallicities for 175 Million Stars from Gaia XP Spectra". Table 1 (174,922,161 rows) contains XGBoost parameters (temperature, surface gravity, and metallicity) for all stars in the sample. Table 2 (17,558,141 rows) contains Gaia DR3 parameters and XGBoost parameters for a vetted sample of RGB stars with reliable measurements. The tables are provided in compressed CSV format, and the full data model is described in the accompanying paper.
DOI: 10.5281/zenodo.7599788
title: Robust Data-driven Metallicities for 175 Million Stars from Gaia XP Spectra

description: This is the dataset accompanying Andrae et al (2023), "Robust Data-driven Metallicities for 175 Million Stars from Gaia XP Spectra". Table 1 (174,922,161 rows) contains XGBoost parameters (temperature, surface gravity, and metallicity) for all stars in the sample. Table 2 (17,558,141 rows) contains Gaia DR3 parameters and XGBoost parameters for a vetted sample of RGB stars with reliable measurements. The tables are provided in compressed CSV and FITS format, and the full data model is described in the accompanying paper.
DOI: 10.5281/zenodo.7945154
title: Robust Data-driven Metallicities for 175 Million Stars from Gaia XP Spectra

description: This is the dataset accompanying Andrae et al (2023), "Robust Data-driven Metallicities for 175 Million Stars from Gaia XP Spectra". Table 1 (174,922,161 rows) contains XGBoost parameters (temperature, surface gravity, and metallicity) for all stars in the sample. Table 2 (17,558,141 rows) contains Gaia DR3 parameters and XGBoost parameters for a vetted sample of RGB stars with reliable measurements. The tables are provided in compressed CSV and FITS format, and the full data model is described in the accompanying paper.
DOI: 10.34740/kaggle/dsv/5709353
title: Mahanagar Yatayat Dataset
DOI: 10.21227/h9ex-1559
title: Turkish Question answering sentiment dataset (SCD)

description: SCD Dataset: This new dataset has been specifically created for the development and education of children with down syndrome. The dataset, containing a total of 13,500 Turkish question-answer pairs, has "positive" and "negative" emotion labels. In the context of human-robot interaction, accurately identifying and addressing positive and negative emotions has a significant impact on user experience and satisfaction. Neutral questions and answers provide less information in terms of sentiment analysis and are less relevant to the purpose of this study. Therefore, focusing on positive and negative emotions in our research was preferred in order to achieve more specific and effective results. In this context, situations of neutral questions and answers that approach positive or negative meanings have been appropriately manually corrected. The dataset has been carefully and originally prepared, based on various topics that can be covered in conversations between robots and children. In this dataset, the question class can include any type of sentence, whether it is a single word or meant to maintain the continuity of the conversation. Similarly, the answer class is designed in the same manner. The entire set of question-answer pairs, created with 200 volunteer students from the Computer Engineering Department of Iskenderun Technical University, has been labeled with emotion tags and verified for accuracy by experts in the field.
DOI: 10.5517/ccdc.csd.cc27vmwm
title: CCDC 2081181: Experimental Crystal Structure Determination

description: Related Article: Zhongnan Xu, Jiwen Yao, Kaihui Zhong, Shuimu Lin, Xinwei Hu, Zhixiong Ruan|2023|J.Org.Chem.|88|5572|doi:10.1021/acs.joc.3c00091
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28hkhv
title: CCDC 2100327: Experimental Crystal Structure Determination

description: Related Article: Chao Liu, Xiangwen Tan, Lingzhi Zhan, Yaru Jing, Wanqing Wu, Zhuofeng Ke, Huanfeng Jiang|2022|Angew.Chem.,Int.Ed.|61|e202215020|doi:10.1002/anie.202215020
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22896527
title: The use of quantile methods in economic history

description: Quantile regression and quantile treatment effect methods are powerful econometric tools for considering economic impacts of events or variables of interest beyond the mean. The use of quantile methods allows for an examination of impacts of some independent variable over the entire distribution of continuous dependent variables. Measurement in many quantitative settings in economic history have as a key input continuous outcome variables of interest. Among many other cases, human height and demographics, economic growth, earnings and wages, and crop production are generally recorded as continuous measures, and are collected and studied by economic historians. In this paper we describe and discuss the broad utility of quantile regression for use in research in economic history, review recent quantitative literature in the field, point to potential limits in its use, and provide an illustrative example of the use of these methods based on 20,000 records of human height measured across 50-plus years in the 19th and 20th centuries. We suggest that, despite limitations in certain settings, there is still considerably more room in the literature on economic history to convincingly and productively apply quantile regression methods.
DOI: 10.6084/m9.figshare.22896527.v1
title: The use of quantile methods in economic history

description: Quantile regression and quantile treatment effect methods are powerful econometric tools for considering economic impacts of events or variables of interest beyond the mean. The use of quantile methods allows for an examination of impacts of some independent variable over the entire distribution of continuous dependent variables. Measurement in many quantitative settings in economic history have as a key input continuous outcome variables of interest. Among many other cases, human height and demographics, economic growth, earnings and wages, and crop production are generally recorded as continuous measures, and are collected and studied by economic historians. In this paper we describe and discuss the broad utility of quantile regression for use in research in economic history, review recent quantitative literature in the field, point to potential limits in its use, and provide an illustrative example of the use of these methods based on 20,000 records of human height measured across 50-plus years in the 19th and 20th centuries. We suggest that, despite limitations in certain settings, there is still considerably more room in the literature on economic history to convincingly and productively apply quantile regression methods.
DOI: 10.21227/y3vc-fq72
title: Dataset used by scLGF

description: The public dataset used in the manuscript "Deep Clustering for scRNA-seq Data by Local and Global Graph Structure Fusion".
DOI: 10.5517/ccdc.csd.cc29fglt
title: CCDC 2128106: Experimental Crystal Structure Determination

description: Related Article: Hao-Wei Chen, Chun-Xiao Jiang, Guang-Lei Ma, Xi-Ying Wu, Wei Jiang, Jiyang Li, Yi Zang, Jia Li, Juan Xiong, Jin-Feng Hu|2023|Phytochemistry|211|113687|doi:10.1016/j.phytochem.2023.113687
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29fs0k
title: CCDC 2128398: Experimental Crystal Structure Determination

description: Related Article: Supphachok Chanmungkalakul, Shiqing Huang, Xia Wu, Esther Cai Xia Ang, Zi-Qi Yang, Yongxin Li, Xiaoyu Yan, Choon-Hong Tan, Davin Tan, Xiaogang Liu|2023|Phys.Chem.Chem.Phys.(PCCP)|25|10599|doi:10.1039/D3CP00123G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d1qkr
title: CCDC 2206194: Experimental Crystal Structure Determination

description: Related Article: Qing-Dong Zhou, Guo-Fei Hu, Sehrish Sarfaraz, Khurshid Ayub, Beibei Xiao, Kanglei Liu, Xiaodong Yin, Nan Wang|2023|Inorg.Chem.|62|7061|doi:10.1021/acs.inorgchem.3c00450
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dk527
title: CCDC 2221028: Experimental Crystal Structure Determination

description: Related Article: Chunyu Yang, Xin Xu, Bing Yan|2023|Inorg.Chem.Front.|10|2951|doi:10.1039/D3QI00444A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dkf0f
title: CCDC 2221274: Experimental Crystal Structure Determination

description: Related Article: Mu Chen, Run-Qiang Chen, Yuan Guo, Jian-Xin Chen, Qian Jin, Mei-Hong Chen, Bo-Yong Chen, Zheng-Chao Tu, Wen-Cai Ye, Lei Wang|2023|Phytochemistry|211|113699|doi:10.1016/j.phytochem.2023.113699
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dkf3j
title: CCDC 2221277: Experimental Crystal Structure Determination

description: Related Article: Mu Chen, Run-Qiang Chen, Yuan Guo, Jian-Xin Chen, Qian Jin, Mei-Hong Chen, Bo-Yong Chen, Zheng-Chao Tu, Wen-Cai Ye, Lei Wang|2023|Phytochemistry|211|113699|doi:10.1016/j.phytochem.2023.113699
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dkf7n
title: CCDC 2221281: Experimental Crystal Structure Determination

description: Related Article: Mu Chen, Run-Qiang Chen, Yuan Guo, Jian-Xin Chen, Qian Jin, Mei-Hong Chen, Bo-Yong Chen, Zheng-Chao Tu, Wen-Cai Ye, Lei Wang|2023|Phytochemistry|211|113699|doi:10.1016/j.phytochem.2023.113699
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dq3js
title: CCDC 2225785: Experimental Crystal Structure Determination

description: Related Article: Manjeet Singh, Manish Kumar, Sachin A. Nalawade, DRGKoppalu R. Puneeth Kumar, Hosahudya N. Gopi|2023|Org.Biomol.Chem.|21|3766|doi:10.1039/D3OB00127J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dy50k
title: CCDC 2232558: Experimental Crystal Structure Determination

description: Related Article: Zhikang Chen, Wuchao Zhao, Conglei Liu, Liuying Jiang, Gang Fu, Yuetao Zhang, Hongping Zhu|2023|Polym.Chem.|14|2344|doi:10.1039/D3PY00301A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dy51l
title: CCDC 2232559: Experimental Crystal Structure Determination

description: Related Article: Zhikang Chen, Wuchao Zhao, Conglei Liu, Liuying Jiang, Gang Fu, Yuetao Zhang, Hongping Zhu|2023|Polym.Chem.|14|2344|doi:10.1039/D3PY00301A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dy52m
title: CCDC 2232560: Experimental Crystal Structure Determination

description: Related Article: Zhikang Chen, Wuchao Zhao, Conglei Liu, Liuying Jiang, Gang Fu, Yuetao Zhang, Hongping Zhu|2023|Polym.Chem.|14|2344|doi:10.1039/D3PY00301A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/5709460
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.25345/c53b5wj6m
title: MassIVE MSV000091976 - Xenograft data for proteomic analysis of non-muscle invasive and muscle invasive bladder cancer highlights distinct subgroups
title: Urothelial bladder cancer ranks among the top ten malignancies worldwide, with approximately 20% of cases presenting as muscle-invasive disease. We present the proteomic profiling of a bladder cancer cohort comprising 79 cases, including treatment-naive cases of non-muscle invasive (NMIBC, N=17) and muscle-invasive bladder cancer (MIBC, N=51), as well as neoadjuvant-treated MIBC (N=11). Proteins were extracted from formalin-fixed, paraffin-embedded samples and analyzed using data-independent acquisition (DIA), yielding an average over 6,000 quantified proteins per sample. Our study found an enriched ECM and immune response signature in MIBC compared to NMIBC, with concomitant depletion of proteins involved in lipid metabolism and cell-cell adhesion. NMIBC presented two proteomic subgroups that correlate with histological grade and feature signatures of either cell adhesion or lipid/DNA metabolism. Treatment-naive MIBC presents three proteomic subgroups with signatures of metabolism, immune functionality, and ECM. The ECM and immune subgroups are enriched for markers of dendritic cells, macrophages and YAP1 signaling with the immune subgroup having additional enrichment of markers for cytotoxic T cells. Mechanistically, infiltration of CD8+ PD1+ positive cytotoxic T cells correlated with PD-L1 expression of MIBC, as demonstrated by multiplex immunofluorescence analysis. We further highlight increased endogenous proteolysis in MIBC alongside upregulation of matrix metalloproteases (MMPs), including MMP-14 whose expression silencing reduced T24 cell invasiveness in vitro. Genomic panel sequencing underlines prevalent FGFR3 mutations in NMIBC and prevalent TP53 mutations in MIBC while a genomic underpinning of the MIBC clusters remains elusive. Further proteogenomic data analysis yielded protein-level evidence for over1,300 single amino acid variants (SAAVs). The proteomes of neoadjuvant-treated, residual MIBC were like treatment-naive MIBC. Tumor-stroma interaction of MIBC was further investigated by proteomic analysis of patient-derived xenografts (PDX) of MIBC. In conclusion, our study adds to the comprehensive understanding of the proteome biology of early and advanced bladder cancer.
DOI: 10.3886/icpsr37691.v1
title: Understanding the Use and Efficacy of Moderate Stringency DNA Searches, United States, 2018
title: Version 1

description: This study was undertaken to investigate familial DNA and moderate stringency DNA testing practices and to highlight the policy development, associated costs, limitations, and capabilities that DNA testing provides in order to offer relevant insight to criminal justice and law enforcement policymakers and researchers who are interested in the use of DNA testing to solve and deter crime.
description: The purpose of this study was to provide a baseline for criminal justice policymakers to better understand the ways in which familial DNA and moderate stringency testing are being used in the field today.
description: Researchers conducted four related study tasks: (1) a literature review on familial and moderate stringency DNA searching, (2) a survey of varying familial and moderate stringency DNA policies and data from state and local forensic laboratories, (3) interviews from representatives of two states (California and Texas) that have used this technique in different ways, and (4) interviews with English and Welsh stakeholders.
description: Response Rates: State DNA Index System (SDIS) 10/50 = 20% response rate. Local DNA Index System (LDIS) 32/145 = 22% response rate.
description: The survey sample selected represented the universe as defined by all state and local forensic facilities that listed DNA testing as one of their services in the 2014 Census of Publicly Funded Crime Laboratories. There were 195 laboratories in the sample.
description: Datasets: DS0: Study-Level Files DS1: State DNA Index System (SDIS) Survey Data DS2: Local DNA Index System (LDIS) Survey Data
description: State and local forensic facilities that listed DNA testing as one of their services in the 2014 Census of Publicly Funded Crime Laboratories. Smallest Geographic Unit: None.
description: mail questionnaire; web-based surveyStudy documentation references qualitative interview data from respondents in California, Texas, England, and Wales. Version 1 of the ICPSR release contains only quantitative survey data from SDIS and LDIS administrators in the United States.Additional information regarding this study can be found by visiting the RAND Corporation website.
DOI: 10.3886/icpsr37691
title: Understanding the Use and Efficacy of Moderate Stringency DNA Searches, United States, 2018
title: Archival Version

description: This study was undertaken to investigate familial DNA and moderate stringency DNA testing practices and to highlight the policy development, associated costs, limitations, and capabilities that DNA testing provides in order to offer relevant insight to criminal justice and law enforcement policymakers and researchers who are interested in the use of DNA testing to solve and deter crime.
description: The purpose of this study was to provide a baseline for criminal justice policymakers to better understand the ways in which familial DNA and moderate stringency testing are being used in the field today.
description: Researchers conducted four related study tasks: (1) a literature review on familial and moderate stringency DNA searching, (2) a survey of varying familial and moderate stringency DNA policies and data from state and local forensic laboratories, (3) interviews from representatives of two states (California and Texas) that have used this technique in different ways, and (4) interviews with English and Welsh stakeholders.
description: Response Rates: State DNA Index System (SDIS) 10/50 = 20% response rate. Local DNA Index System (LDIS) 32/145 = 22% response rate.
description: The survey sample selected represented the universe as defined by all state and local forensic facilities that listed DNA testing as one of their services in the 2014 Census of Publicly Funded Crime Laboratories. There were 195 laboratories in the sample.
description: Datasets: DS0: Study-Level Files DS1: State DNA Index System (SDIS) Survey Data DS2: Local DNA Index System (LDIS) Survey Data
description: State and local forensic facilities that listed DNA testing as one of their services in the 2014 Census of Publicly Funded Crime Laboratories. Smallest Geographic Unit: None.
description: mail questionnaire; web-based surveyStudy documentation references qualitative interview data from respondents in California, Texas, England, and Wales. Version 1 of the ICPSR release contains only quantitative survey data from SDIS and LDIS administrators in the United States.Additional information regarding this study can be found by visiting the RAND Corporation website.
DOI: 10.5281/zenodo.7940697
title: Dataset of the article "A new and almost perfectly accurate approximation of the eigenvalue effective population size of a dioecious population: comparisons with other estimates and detailed proofs"

description: Dataset of the article "A new and almost perfectly accurate approximation of the eigenvalue effective population size of a dioecious population: comparisons with other estimates and detailed proofs" (https://doi.org/10.5281/zenodo.7927968), recommended by PCI Evol Biol (https://evolbiol.peercommunityin.org/articles/rec?id=651)
DOI: 10.5281/zenodo.7940698
title: Dataset of the article "A new and almost perfectly accurate approximation of the eigenvalue effective population size of a dioecious population: comparisons with other estimates and detailed proofs"

description: Dataset of the article "A new and almost perfectly accurate approximation of the eigenvalue effective population size of a dioecious population: comparisons with other estimates and detailed proofs" (https://doi.org/10.5281/zenodo.7927968), recommended by PCI Evol Biol (https://evolbiol.peercommunityin.org/articles/rec?id=651)
DOI: 10.5281/zenodo.7733689
title: Raw Experimental Data for "Dimethylnonacethrene – en route to a magnetic photoswitch"

description: Raw experimental data associated with the manuscript: "<strong>Dimethylnonacethrene – <em>en route</em> to a magnetic photoswitch</strong>".
DOI: 10.5281/zenodo.7733688
title: Raw Experimental Data for "Dimethylnonacethrene – en route to a magnetic photoswitch"

description: Raw experimental data associated with the manuscript: "<strong>Dimethylnonacethrene – <em>en route</em> to a magnetic photoswitch</strong>".