cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35003/4nmc6p
title: Replication Data for: Age and genetic relationships among CB, CH and CR chondrites

description: Hf-W, Mo, and Ti isotope as well as age data for: Age and genetic relationships among CB, CH and CR chondrites. Abstract: The carbonaceous Bencubbin-like (CB), high-metal (CH), and Renazzo-like (CR) chondrites are metal-rich chondrites that have been suggested to be genetically linked and are sometimes grouped together as the CR chondrite clan. Of these, the CB and CH chondrites are thought to have formed in an impact-generated vapor-melt plume from material that may be isotopically akin to CR chondrites. We report Mo, Ti, Cr, and Hf-W isotopic data for CB and CH chondrites in order to determine their formation time, to assess whether these chondrites are genetically related, and to evaluate their potential link to CR chondrites. An internal Hf-W isochron for the CH chondrite Acfer 182 yields an age of 3.8±1.2 Ma af¬ter formation of Ca-Al-rich inclusions, which is indistinguishable from the mean Hf-W model age for CB metal of 3.8±1.3 Ma. The Mo isotopic data for CB and CH chondrites indicate that both contain some of the same metal and silicate components, which themselves are isotopically distinct. As such, the different Mo isotopic compositions of bulk CB and CH chondrites reflect their distinct metal-to-silicate ratios. CR metal exhibits the same Mo isotopic composition as CB and CH metal, but CR silicates have distinct Mo and Ti isotopic compositions compared to CB and CH silicates, indicating that CB/CH chondrites may be genetically related to CR metal, but not to CR silicates. Together, the new isotopic data are consistent with formation of CB and CH chondrites in different regions of a common impact-generated vapor-melt plume and suggest that the CB and CH metal may derive from a metal-rich precursor genetically linked to CR chondrites. The Hf-W systematics of CH and CB chondrites indicate that the impact occurred at 3.8±0.8 Ma after the formation of Ca-Al-rich inclusions and, hence, up to ~1 Ma earlier than previously inferred based on Pb-Pb chronology.
DOI: 10.5281/zenodo.8410371
title: Supplementary Table 1: The results of verifying the assumptions for the application of the tests

description: This is supplementary data for an article ''Infectious Diseases and Clinical Microbiology Consultations in the Emergency Department: A Cross-sectional Study at a Tertiary-care Hospital'' pulished in Advances in Clinical and Experimental Medicine (ACEM-07948-2023-04).
DOI: 10.5281/zenodo.8410370
title: Supplementary Table 1: The results of verifying the assumptions for the application of the tests

description: This is supplementary data for an article ''Infectious Diseases and Clinical Microbiology Consultations in the Emergency Department: A Cross-sectional Study at a Tertiary-care Hospital'' pulished in Advances in Clinical and Experimental Medicine (ACEM-07948-2023-04).
DOI: 10.5255/ukda-sn-856713
title: Achieving Emission Reductions without Furthering Social Inequality: Lessons From the 2007 Economic Crisis and the COVID-19 Pandemic, 2001-2020

description: These data show consumption-based greenhouse gas (GHG) emissions of UK households from 2001-2020. As demographic variables, income decile and age group are attached. Emissions are shown in two different ways. First, emissions are shown for each year individually. Second, emissions are shown as a 2007 equivalent. These second data show the emissions that consumption from the different years would have caused assuming the economic structure and emission coefficients from 2007. Data are reported as a carbon equivalent, meaning that all GHGs are converted into their carbon equivalent. The GHGs included are carbon dioxide, methane, nitrous oxide, hydrofluorocarbons, perfluorocarbons, sulphur hexafluoride and nitrogen trifluoride.
DOI: 10.6084/m9.figshare.23622792
title: Luecken Cite-seq human bone marrow 2021

description: Dataset published by Luecken et al. 2021 which contains data from human bone marrow measured through joint profiling of single-nucleus RNA and Antibody-Derived Tags (ADTs) using the 10X 3' Single-Cell Gene Expression kit with Feature Barcoding in combination with the BioLegend TotalSeq B Universal Human Panel v1.0.<b>File Description</b><i>cite_filtered.h5mu</i>: Filtered barcode by feature MuData object of concatenated donor’s raw counts from filtered barcodes. This is built from the Cell Ranger output and contains the RNA and ADT ("prot" key) data.<i>cite_raw.h5mu</i>: Unfiltered barcode by feature MuData object of concatenated donor's raw counts extracted by Cell Ranger. It contains the RNA and ADT ("prot" key) data.<i>cite_preprocessed.h5ad</i>: Fully processed AnnData object used in annotation chapter.<b>Citation</b>Luecken, M. D. <i>et al.</i> A sandbox for prediction and integration of DNA, RNA, and proteins in single cells. Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2021).<br><b>Original data link</b>https://openproblems.bio/neurips_docs/data/dataset/
DOI: 10.23729/022475cc-e527-41a9-bbc0-0113923cf04c
title: GeckoQ: Atomic structures, conformers and thermodynamic properties of atmospheric molecules

description: For a detailed description of the data see (and please cite): "Atomic structures, conformers and thermodynamic properties of 32k atmospheric molecules" - Vitus Besel, Milica Todorvić, Theo Kurtén, Patrick Rinke, and Hanna Vehkamäki, Nature: Scientific Data (2023) [https://doi.org/10.1038/s41597-023-02366-x] Low volatile organic compounds (LVOC) have been determined to be main drivers in key atmospheric processes, such as new particle formation (NPF). Yet, extensive and versatile data sets of these molecules have not been available so far to the atmospheric research community. The GeckoQ dataset contains atomic structures of 31,637 atmospherically relevant molecules produced in the oxidation of alpha-pinene, toluene and decane. On top of molecular structures generated by the chemical mechanism GECKO-A, we performed comprehensive conformer sampling with the COSMOconf program and calculate thermodynamic properties on the Perdew-Becke (PB) level of density functional theory (DFT) using the Conductor-like Screening Model (COSMO). The data contains all 7 Mio. conformers found.
DOI: 10.5517/ccdc.csd.cc27v4qz
title: CCDC 2080711: Experimental Crystal Structure Determination

description: Related Article: Mayank Joshi, Angshuman Roychoudhury|2023|CSD Communication|||
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.cc29zyy6
title: CCDC 2144919: Experimental Crystal Structure Determination

description: Related Article: Ekaterina S. Smirnova, Ekaterina V. Sidorova|2023|CSD Communication|||
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.cc2b6xs8
title: CCDC 2151610: Experimental Crystal Structure Determination

description: Related Article: Parthasarathy Gayathri, Subramanian Karthikeyan, Mehboobali Pannipara, Abdullah G Al-sehemi, Dohyun Moon, Savarimuthu Philip Anthony|2023|CSD Communication|||
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/cc1172q2
title: CCDC 960123: Experimental Crystal Structure Determination

description: Related Article: Marek Daszkiewicz, Anna Adach|2023|CSD Communication|||
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.cc2bgkgv
title: CCDC 2158947: Experimental Crystal Structure Determination

description: Related Article: Marek Daszkiewicz, Piotr Rejnhardt, Anna Adach|2023|CSD Communication|||
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.cc2bl302
title: CCDC 2162343: Experimental Crystal Structure Determination

description: Related Article: Yue Zhang, Jing Li, Xiaoyu Liu, Wei Gao, Shuoshuo Song, Yaping Rong, Linyu Tan, Tatiana V Glukhareva, Vasiliy A Bakulev, Zhijin Fan |2023|CSD Communication|||
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.cc2bm6z5
title: CCDC 2163427: Experimental Crystal Structure Determination

description: Related Article: Xingxing Yan|2023|CSD Communication|||
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.cc2bm707
title: CCDC 2163428: Experimental Crystal Structure Determination

description: Related Article: Xingxing Yan|2023|CSD Communication|||
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.cc2bm74c
title: CCDC 2163432: Experimental Crystal Structure Determination

description: Related Article: Xingxing Yan|2023|CSD Communication|||
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.cc2bq1rw
title: CCDC 2166148: Experimental Crystal Structure Determination

description: Related Article: Alexey Polukeev, Abdelrazek Mousa, Ola F. Wendt|2023|CSD Communication|||
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.cc2bw33g
title: CCDC 2170995: Experimental Crystal Structure Determination

description: Related Article: Kodai yamanaka|2023|CSD Communication|||
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.cc2c3fnl
title: CCDC 2178049: Experimental Crystal Structure Determination

description: Related Article: Jin Huang|2023|CSD Communication|||
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.cc2c9sl2
title: CCDC 2184154: Experimental Crystal Structure Determination

description: Related Article: Jinqiu You|2023|CSD Communication|||
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.cc2cxvnt
title: CCDC 2202477: Experimental Crystal Structure Determination

description: Related Article: Ramón de la Serna, Josefina Perler, Joaquín Pérez-Pariente, Luis Gómez-Hortigüela|2023|CSD Communication|||
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.cc2cxvpv
title: CCDC 2202478: Experimental Crystal Structure Determination

description: Related Article: Ramón de la Serna, Josefina Perler, Joaquín Pérez-Pariente, Luis Gómez-Hortigüela|2023|CSD Communication|||
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.8410420
title: CSS-2: GW analysis December 2018

description: S3D analyses of simulated temperature retrievals; Dec 2018
DOI: 10.5281/zenodo.8410419
title: CSS-2: GW analysis December 2018

description: S3D analyses of simulated temperature retrievals; Dec 2018
DOI: 10.6084/m9.figshare.22273129.v2
title: 3DRepresentativeModel

description: The 3D reconstruction model of the rock XCT data
DOI: 10.6084/m9.figshare.22266814.v2
title: TrainingDataset&ModelWeight

description: The CT slices with labeled images used for training. The model weight of Swin Transformer which was trained with patch size 672<sup>2 </sup>and hybrid loss
DOI: 10.6084/m9.figshare.22262788.v3
title: RawXCTdataOfRock

description: The raw XCT scanning rock data composing of cracks, coal, gangue and pyrite
DOI: 10.5255/ukda-sn-856735
title: Therapists’ Use of Motor Learning Strategies in Children: An Interview Study, 2021

description: Background: When teaching motor skills, paediatric physical therapists (PPTs) use various motor learning strategies (MLSs), adapting these to suit the individual child and the task being practised. Knowledge about the clinical decision-making process of PPTs in choosing and adapting MLSs when treating children with Developmental Coordination Disorder (DCD) is currently lacking. Therefore, this qualitative study aimed to explore PPTs’ use of MLSs when teaching motor skills to children with DCD. Methods: Semi-structured individual and group interviews were conducted with PPTs with a wide range of experience in treating children with DCD. A conventional content analysis approach was used where all transcripts were open-coded by two reviewers independently. Categories and themes were discussed within the research group. Data were collected until saturation was reached.
DOI: 10.5285/dc11996a68c446abb342e917efdaac30
title: ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Climatology Climate Data Record, version 2.2

description: This v2.2 SST_cci Climatology Data Record (CDR) consists of daily climatological mean sea surface temperature on a global 0.05 degree latitude-longitude grid, derived from the SST CCI analysis data for the period 1982 to 2010 (29 years). This climatology includes the post-hoc dust corrections from Merchant and Embury (2020) https://doi.org/10.3390/rs12162554. The changes from climatology v2.1 are: * Inclusion of post-hoc dust corrections from Merchant and Embury (2020) reduces biases in affected regions (tropical Atlantic Ocean and the Mediterranean, Red, and Arabian Seas). * Improved compliance with CF Conventions. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . When citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. (2019) Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223. http://doi.org/10.1038/s41597-019-0236-x
DOI: 10.17032/shu-180006
title: Extra Care Demand Assessor (ECDA)

description: The Extra Care Demand Assessor is a dataset, and associated tool, which helps local authorities and housing providers explore demand for extra care housing in a given location
DOI: 10.17032/shu-0000000180
title: Investigating students’ perceptions of academic dishonesty, reasons for dishonesty, and what we can do to help them develop academic integrity

description: This project aims to conduct a comparative study of students who study at all the five BTE Departments on their perceptions of academic dishonesty, reasons for dishonesty, and what the College/University can do to help students develop academic integrity. While academic dishonesty has gained currency in recent years, a clearer understanding of what HEIs can do to reduce student cheating and instil academic integrity has not yet been reached (Egan, 2018). The recent upsurge in academic misconduct in BTE/SHU presents an increasing challenge to the academic integrity of our degrees. Developing assessments that assure academic integrity is now included as one of the Five Features of Assessments in the SHU LTA Framework. This project seeks to inform the policy development on how BTE/SHU can tackle the sharp rise in academic misconduct and support the development of innovative LTA practices that promote academic integrity in students.
description: Questionnaire and Individual Interview
description: Personal information of the participants removed
DOI: 10.6084/m9.figshare.22273129.v3
title: 3DRepresentativeModel

description: The 3D reconstruction model of the rock XCT data
DOI: 10.6084/m9.figshare.22266814.v4
title: Training dataset and model weight

description: The CT slices with labeled images used for training. The model weight of Swin Transformer which was trained with patch size 672<sup>2 </sup>and hybrid loss
DOI: 10.6084/m9.figshare.22266814.v3
title: TrainingDataset&ModelWeight

description: The CT slices with labeled images used for training. The model weight of Swin Transformer which was trained with patch size 672<sup>2 </sup>and hybrid loss
DOI: 10.6084/m9.figshare.22273129.v4
title: 3D Representative Model

description: The 3D reconstruction model of the rock XCT data
DOI: 10.6084/m9.figshare.24250315
title: Articles from Hong Kong Free Press about National Security Law (Jun to Aug 2020)

description: The corpus consists of a variety of article types, including hard news, editorials, and opinion pieces. A total of 272 articles, totalling 201,182 words, were included in the corpus for analysis. To collect relevant articles, the tagging function on HKFP’s website was used to identify articles tagged with “National Security.” Articles were collected one month before and two months after the NSL came into effect on July 1st, 2020. This approach enables an investigation into how HKFP not only represented the law but also how it prepared its readers to understand the NSL before it was enacted. To ensure the accuracy of each article’s relevance, a manual check was performed to confirm if the keyword “National Security Law” appeared in the main text. Additionally, all non-relevant information, such as boilerplate, publishing date, and author bio, was eliminated from the corpus.
DOI: 10.6084/m9.figshare.24250315.v1
title: Articles from Hong Kong Free Press about National Security Law (Jun to Aug 2020)

description: The corpus consists of a variety of article types, including hard news, editorials, and opinion pieces. A total of 272 articles, totalling 201,182 words, were included in the corpus for analysis. To collect relevant articles, the tagging function on HKFP’s website was used to identify articles tagged with “National Security.” Articles were collected one month before and two months after the NSL came into effect on July 1st, 2020. This approach enables an investigation into how HKFP not only represented the law but also how it prepared its readers to understand the NSL before it was enacted. To ensure the accuracy of each article’s relevance, a manual check was performed to confirm if the keyword “National Security Law” appeared in the main text. Additionally, all non-relevant information, such as boilerplate, publishing date, and author bio, was eliminated from the corpus.
DOI: 10.6084/m9.figshare.22262788.v4
title: RawXCTdataOfRock

description: The raw XCT scanning rock data composing of cracks, coal, gangue and pyrite
DOI: 10.21335/nmdc-285547636
title: Nutrient Biogeochemistry in the Barents Sea and the adjoining Arctic Ocean, 2020 - 2022

description: This dataset contains all biogeochemical samples analyzed by the Plankton Chemistry Laboratory at the Institute of Marine Research (IMR) from the Barents Sea and Arctic regions. The number of surveys and stations visited in the Barents Sea and the Arctic has varied over the last 30 years. As of today, the annual Ecosystem Survey is still taking place as a Russian-Norwegian effort, and 2-3 research vessels from IMR will cover the entire Norwegian side of the Barents Sea with trawl surveys, net tows and CTD water sampling. As the summer ice edge has receded further north in recent years, the region north of the Barents Sea has been added to these surveys. In addition to the annual Ecosystem Survey, there are two trans-sectional core surveys (the Fugløya-Bjørnøya and the Vardø-North transects) visited multiple times each year. Water samples are also collected from a number of short-term sampling projects from ships operated by the IMR visiting the region. Each CTD cast is sampled for dissolved inorganic nutrients (nitrate, nitrite, phosphate, silicate) and phytoplankton pigments (ChlA, Phaeo) at predetermined depths, for later analysis at IMR. On occasion, short-term projects have performed Winkler DO titrations (DOW) and particulate organic carbon and nitrogen (POC, PN) determinations. Parts of this unique data set has seen some use over the years, but the entire time-series is a great contribution towards global ocean research and climate change investigations. A description of analytical methods is available (Appendix-1).