cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2pyc67
title: CCDC 2500869: Experimental Crystal Structure Determination

description: Related Article: Yu-Cong Chen, Qiong Yu, Yifan Gao, Tao Li, Kejia Peng, Wenbin Yi|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c02514
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.cc2n64yz
title: CCDC 2448781: Experimental Crystal Structure Determination

description: Related Article: Karli D. Sipps, Hemant P. Yennawar, Jonathan L. Kuo|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04130
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.cc2p96rz
title: CCDC 2481511: Experimental Crystal Structure Determination

description: Related Article: Karli D. Sipps, Hemant P. Yennawar, Jonathan L. Kuo|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04130
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.cc2q0k2d
title: CCDC 2502973: Experimental Crystal Structure Determination

description: Related Article: Junxuan Li, Di Long, Huan Liu, Jijun Jiang, Jun Wang|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c20392
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.cc2q0k3f
title: CCDC 2502974: Experimental Crystal Structure Determination

description: Related Article: Junxuan Li, Di Long, Huan Liu, Jijun Jiang, Jun Wang|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c20392
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.cc2q2g8k
title: CCDC 2504808: Experimental Crystal Structure Determination

description: Related Article: Aurodeep Panda, Ruilin Zhang, William W. Brennessel, William D. Jones|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c02669
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.cc2ptrw5
title: CCDC 2497418: Experimental Crystal Structure Determination

description: Related Article: Lei Wang, Huiwen Dong, Cangzhu Hu, Liuzhou Gao, Qiang Dai, Junliang Zhang|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04411
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.cc2q2g9l
title: CCDC 2504809: Experimental Crystal Structure Determination

description: Related Article: Aurodeep Panda, Ruilin Zhang, William W. Brennessel, William D. Jones|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c02669
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.cc2pqlfg
title: CCDC 2494366: Experimental Crystal Structure Determination

description: Related Article: Ji-Sheng Wang, Yi-Ming Li, Yu Bai, Xiang Wang|2026|Polyhedron|286||doi:10.1016/j.poly.2025.117941
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.cc2q3hv6
title: CCDC 2505818: Experimental Crystal Structure Determination

description: Related Article: Chun-Lun Qin, Xiao-Kun Yu, Yin-Hui Zhou, Wan-Peng Li, Ting Zhou, Xianggao Meng, Shu-Ming Li, Han-Li Ruan|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04931
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.cc2q3hw7
title: CCDC 2505819: Experimental Crystal Structure Determination

description: Related Article: Chun-Lun Qin, Xiao-Kun Yu, Yin-Hui Zhou, Wan-Peng Li, Ting Zhou, Xianggao Meng, Shu-Ming Li, Han-Li Ruan|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04931
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.cc2q3hx8
title: CCDC 2505820: Experimental Crystal Structure Determination

description: Related Article: Chun-Lun Qin, Xiao-Kun Yu, Yin-Hui Zhou, Wan-Peng Li, Ting Zhou, Xianggao Meng, Shu-Ming Li, Han-Li Ruan|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04931
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.cc2q3hy9
title: CCDC 2505821: Experimental Crystal Structure Determination

description: Related Article: Chun-Lun Qin, Xiao-Kun Yu, Yin-Hui Zhou, Wan-Peng Li, Ting Zhou, Xianggao Meng, Shu-Ming Li, Han-Li Ruan|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04931
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.cc2lp42j
title: CCDC 2403587: Experimental Crystal Structure Determination

description: Related Article: Mirai Nakata, Tsunehisa Hirashita|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01140
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.cc2p2lky
title: CCDC 2475150: Experimental Crystal Structure Determination

description: Related Article: Jieming Zhang, Yixiang Xu, Yanhong Liu, Shiying Weng, Pengyan Wu, Zixuan Wang, Bingcong Tai, Lingchao Wang, Jian Wang|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04751
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.cc2lp48q
title: CCDC 2403593: Experimental Crystal Structure Determination

description: Related Article: Mirai Nakata, Tsunehisa Hirashita|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01140
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: 10.5281/zenodo.15868085
title: HIVMedQA

description: This dataset supports the findings presented in the article HIVMedQA: Benchmarking large language models for HIV medical decision support. It comprises two components:





questions.csv : Contains all the questions, the corresponding gold-standard answers, and their sources.




all_questions_answers_scores.csv : Includes the responses generated by LLMs, along with evaluation scores.



If you use this dataset in your work, please cite: Cardenal-Antolin, Gonzalo, et al. "HIVMedQA: Benchmarking large language models for HIV medical decision support." arXiv preprint arXiv:2507.18143 (2025).
DOI: 10.5281/zenodo.15868084
title: HIVMedQA

description: This dataset supports the findings presented in the article HIVMedQA: Benchmarking large language models for HIV medical decision support. It comprises two components:





questions.csv : Contains all the questions, the corresponding gold-standard answers, and their sources.




all_questions_answers_scores.csv : Includes the responses generated by LLMs, along with evaluation scores.



If you use this dataset in your work, please cite: Cardenal-Antolin, Gonzalo, et al. "HIVMedQA: Benchmarking large language models for HIV medical decision support." arXiv preprint arXiv:2507.18143 (2025).
DOI: 10.5281/zenodo.14510199
title: Integrative CSF profiling identifies disease-specific immune responses in leptomeningeal disease

description: Spatial Transcriptomics Data from Brain Tissue of Patients with Neurological Diseases

Overview:

This dataset consists of raw spatial transcriptomics data from archived brain tissues of patients with various neurological diseases, including inflammatory disease and brain cancers such as lymphomas, brain metastases, and a glioblastoma. The data were generated as part of the study titled "Decoding immune response in leptomeningeal disease through single-cell sequencing of cerebrospinal fluid" (publication link to be added once available). In this study, we explored immune profiles in the cerebrospinal fluid (CSF) of these patients, with this dataset forming the final part of the analysis, correlating immune profiles in brain tissue with those observed in the CSF.

Data Collection:

The dataset was generated using the Xenium In Situ platform and the pre-designed Xenium Human Immuno-Oncology panel, which targets 380 genes (10x Genomics). Archived human brain tissues were selected based on quality assessments using H&E and DAPI staining of adjacent sections from the same tissue blocks. For some samples, specific regions of interest within the tissue were selected for analysis rather than processing entire sections. Detailed experimental methods are available in the associated publication.

Contents:

The dataset includes raw data only. Users should refer to the associated publication for detailed experimental protocols and to the Xenium platform documentation for technical details about file structures and data handling. Outputs are generated by the Xenium In Situ, organized into folders as produced by the platform. Users are encouraged to consult 10x Genomics'  Xenium documentation for detailed guidance on file formats and content interpretation.

Metadata:

The dataset corresponds to six patient samples, which overlap with some of the CSF cohort analyzed in the associated publication. No technical or biological replicates are included. Metadata, including sample identifiers and details about disease classification, can be found in the associated publication.

Citation and Usage:

Please cite the associated publication when using this dataset. If further details or clarifications are needed, users can contact the corresponding author via the publication.
DOI: 10.5281/zenodo.14510198
title: Integrative CSF profiling identifies disease-specific immune responses in leptomeningeal disease

description: Spatial Transcriptomics Data from Brain Tissue of Patients with Neurological Diseases

Overview:

This dataset consists of raw spatial transcriptomics data from archived brain tissues of patients with various neurological diseases, including inflammatory disease and brain cancers such as lymphomas, brain metastases, and a glioblastoma. The data were generated as part of the study titled "Decoding immune response in leptomeningeal disease through single-cell sequencing of cerebrospinal fluid" (publication link to be added once available). In this study, we explored immune profiles in the cerebrospinal fluid (CSF) of these patients, with this dataset forming the final part of the analysis, correlating immune profiles in brain tissue with those observed in the CSF.

Data Collection:

The dataset was generated using the Xenium In Situ platform and the pre-designed Xenium Human Immuno-Oncology panel, which targets 380 genes (10x Genomics). Archived human brain tissues were selected based on quality assessments using H&E and DAPI staining of adjacent sections from the same tissue blocks. For some samples, specific regions of interest within the tissue were selected for analysis rather than processing entire sections. Detailed experimental methods are available in the associated publication.

Contents:

The dataset includes raw data only. Users should refer to the associated publication for detailed experimental protocols and to the Xenium platform documentation for technical details about file structures and data handling. Outputs are generated by the Xenium In Situ, organized into folders as produced by the platform. Users are encouraged to consult 10x Genomics'  Xenium documentation for detailed guidance on file formats and content interpretation.

Metadata:

The dataset corresponds to six patient samples, which overlap with some of the CSF cohort analyzed in the associated publication. No technical or biological replicates are included. Metadata, including sample identifiers and details about disease classification, can be found in the associated publication.

Citation and Usage:

Please cite the associated publication when using this dataset. If further details or clarifications are needed, users can contact the corresponding author via the publication.
DOI: 10.5281/zenodo.18314563
title: AMALIY IQTISODIYOT VA KUNDALIK HAYOT: ONGLI MOLIYAVIY QARORLAR SARI

description: Mazkur ilmiy maqolada amaliy iqtisodiyotning kundalik hayotdagi ahamiyati, aholi tomonidan ongli moliyaviy qarorlar qabul qilish jarayonida iqtisodiy bilim va ko‘nikmalarning roli tahlil qilinadi. Moliyaviy savodxonlik, byudjetlashtirish, iste’mol qarorlarini optimallashtirish, jamg‘arma va investitsiya faoliyatining iqtisodiy asoslari ilmiy manbalar asosida yoritiladi. Tadqiqot davomida mikroiqtisodiy nazariya, xulq-atvor iqtisodiyoti va moliyaviy ta’lim konsepsiyalariga tayangan holda kundalik moliyaviy qarorlarning samaradorligi baholanadi. Natijalar aholining moliyaviy savodxonligini oshirish barqaror iqtisodiy rivojlanishning muhim omili ekanini ko‘rsatadi.
DOI: 10.5281/zenodo.18314564
title: AMALIY IQTISODIYOT VA KUNDALIK HAYOT: ONGLI MOLIYAVIY QARORLAR SARI

description: Mazkur ilmiy maqolada amaliy iqtisodiyotning kundalik hayotdagi ahamiyati, aholi tomonidan ongli moliyaviy qarorlar qabul qilish jarayonida iqtisodiy bilim va ko‘nikmalarning roli tahlil qilinadi. Moliyaviy savodxonlik, byudjetlashtirish, iste’mol qarorlarini optimallashtirish, jamg‘arma va investitsiya faoliyatining iqtisodiy asoslari ilmiy manbalar asosida yoritiladi. Tadqiqot davomida mikroiqtisodiy nazariya, xulq-atvor iqtisodiyoti va moliyaviy ta’lim konsepsiyalariga tayangan holda kundalik moliyaviy qarorlarning samaradorligi baholanadi. Natijalar aholining moliyaviy savodxonligini oshirish barqaror iqtisodiy rivojlanishning muhim omili ekanini ko‘rsatadi.
DOI: 10.25345/c5z02zp10
title: MassIVE MSV000100523 - Integrative nuclear and total proteomics of compound leaves in semi-leafless and leafed pea cultivars reveal regulatory cues in leaf development
title: Leaf architecture is a critical determinant of crop productivity, influencing light interception, canopy organization, and lodging tolerance. In pea (Pisum sativum L.), the semi-leafless phenotypes with tendril, which is a modified form of a leaflet, have transformed modern breeding programs. The underlying molecular networks governing compound leaf development remain poorly understood. Here, we present an integrative proteomic atlas of pea leaf tissues, generated by profiling both nuclear and total proteomes from two cultivars: the semi-leafless, tendril-rich Cooper and the leafed cultivar Trapper, which produces only residual tendrils.
DOI: 10.6084/m9.figshare.30740163
title: Amorphous-diamond-50b.fe from Amorphous bicontinuous minimal surface models and the superior Gaussian curvature uniformity of Diamond, Primitive and Gyroid surfaces

description: A document containing additional details to support our manuscript. It contains the following sections: 1 Deformation families of triply-periodic minimal surfaces; 2 Wooten-Winer-Weaire algorithm; 3 Amorphous diamond minimal surface; 4 Pinch-off effect; 5 Topology-stabilised minimisation scheme for minimal surface generation using the “Surface Evolver”; 6 Relaxation algorithm to enhance isotropy; 7 Minimal surfaces from parallel layers with catenoidal connections; 8 Heterogeneity of minimal surfaces from parallel layers with catenoidal connections; 9 Balance between the two labyrinths of the amorphous Diamond surfaces; 10 Use of a labelled Voronoi diagram in <i>pomelo</i> package for creating initial polyhedral interfaces between intertwined graphs; 11 Distance Function on the Flat Torus; 12 Weierstrass parameterisations of TPMS; 13 Discretization data for the Minimal Surfaces; 14 Gauss Curvature Data and distributions for the Minimal Surfaces; 15 Gauss curvature of minimal surfaces as function of the in-surface distance to the nearest flatpoint; 16 Further supplementary items;We provide a detailed list of ESM files at the end of the supporting information, but before the references. ;Surface Evolver file for creating an amorphous diamond minimal surface with Euler characteristic −2000. The corresponding optimization routines are included.
DOI: 10.6084/m9.figshare.30740163.v1
title: Amorphous-diamond-50b.fe from Amorphous bicontinuous minimal surface models and the superior Gaussian curvature uniformity of Diamond, Primitive and Gyroid surfaces

description: A document containing additional details to support our manuscript. It contains the following sections: 1 Deformation families of triply-periodic minimal surfaces; 2 Wooten-Winer-Weaire algorithm; 3 Amorphous diamond minimal surface; 4 Pinch-off effect; 5 Topology-stabilised minimisation scheme for minimal surface generation using the “Surface Evolver”; 6 Relaxation algorithm to enhance isotropy; 7 Minimal surfaces from parallel layers with catenoidal connections; 8 Heterogeneity of minimal surfaces from parallel layers with catenoidal connections; 9 Balance between the two labyrinths of the amorphous Diamond surfaces; 10 Use of a labelled Voronoi diagram in <i>pomelo</i> package for creating initial polyhedral interfaces between intertwined graphs; 11 Distance Function on the Flat Torus; 12 Weierstrass parameterisations of TPMS; 13 Discretization data for the Minimal Surfaces; 14 Gauss Curvature Data and distributions for the Minimal Surfaces; 15 Gauss curvature of minimal surfaces as function of the in-surface distance to the nearest flatpoint; 16 Further supplementary items;We provide a detailed list of ESM files at the end of the supporting information, but before the references. ;Surface Evolver file for creating an amorphous diamond minimal surface with Euler characteristic −2000. The corresponding optimization routines are included.
DOI: 10.7488/ds/8070
title: Updates to Tower Blocks UK: general dataset

description: This item consists of a single .csv file which collates details of updated datasets, hosted in Zenodo, which are based on the “Tower Blocks UK: general dataset” item in DataShare. The updated datasets were produced by Ryan Browell, an institutionally unaffiliated researcher, and they build on the research undertaken by Prof Miles Glendinning on tower blocks in the UK. Details of the methodology of these updates is contained in the readme file. The general dataset, upon which these updates are based, is of multi-storey blocks built between the 1940s and 1970s in the United Kingdom, from images mostly taken in the 1980s. Context: Tower Block UK is a project supported by the Heritage Lottery Fund, bringing together public engagement and an openly-licensed image archive in an attempt to emphasise the social and architectural importance of tower blocks, and to frame multi-storey social housing as a coherent and accessible nationwide heritage. The Tower Block UK image archive is a searchable database of around 4,000 images of every multi-storey social housing development built in the UK. The photographs were largely taken in the 1980s by Miles Glendinning and are made available here for public use. As many of the blocks documented and photographed have since been demolished, the archive functions in part as a repository of information on an important aspect of UK heritage that is now vanishing. The archive itself catalogues multi-storey blocks as part of the developments within which they were initially commissioned and built. It gives details of notable dates, such as when local authorities approved the developments and when construction began or finished. Alongside this, the archive provides information on the local authorities, architects, and other agents involved in the processes of commissioning, designing, and constructing mass social housing. While the most historically 'accurate' identification labels in the database are the original overall development or project names, the archive also contains details of the individual blocks built.