cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17870/bathspa.14307797.v1
title: Curious about Care - Further Contextualising Information

description: Curious about Care is a series of painting machines reliant on the attention of others for their activation. By making public the role of care in the machine’s maintenance and upkeep this research seeks to understand if actively engaging the hand of others in the manufacture of a painting, in real time and with an audience, alters engagement and broadens access to the complex debates inherent in the works.This item contains the following contextualising information:1. A flyer for the Painting in Time Symposium, which ran alongside the exhibition <i><b>Painting in Time I</b></i> at the Tetley, Leeds, 3 April - 5 July, 2015. The exhibition was co-curated by Sarah Kate Wilson and The Tetley.2. The exhibition guide for <i><b>Painting in Time I</b></i> at the Tetley, Leeds, 3 April - 5 July, 2015.3. A page from the catalogue for <i><b>D-Coincidence</b></i> at Yo Chang Art Museum, Taiwan, November 2016, as part of the Greater Taipei Biennial of Contemporary Arts 2016.<b>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law.</b><br>
DOI: 10.17870/bathspa.14307797
title: Curious about Care - Further Contextualising Information

description: Curious about Care is a series of painting machines reliant on the attention of others for their activation. By making public the role of care in the machine’s maintenance and upkeep this research seeks to understand if actively engaging the hand of others in the manufacture of a painting, in real time and with an audience, alters engagement and broadens access to the complex debates inherent in the works.This item contains the following contextualising information:1. A flyer for the Painting in Time Symposium, which ran alongside the exhibition <i><b>Painting in Time I</b></i> at the Tetley, Leeds, 3 April - 5 July, 2015. The exhibition was co-curated by Sarah Kate Wilson and The Tetley.2. The exhibition guide for <i><b>Painting in Time I</b></i> at the Tetley, Leeds, 3 April - 5 July, 2015.3. A page from the catalogue for <i><b>D-Coincidence</b></i> at Yo Chang Art Museum, Taiwan, November 2016, as part of the Greater Taipei Biennial of Contemporary Arts 2016.<b>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law.</b><br>
DOI: 10.5281/zenodo.4637034
title: The spatial landscape of lung pathology during COVID-19 progression - immune activation IMC data

description: Recent studies have provided insights into the pathology and immune response to coronavirus disease 2019 (COVID-19). However thorough interrogation of the interplay between infected cells and the immune system at sites of infection is lacking. We use high parameter imaging mass cytometry targeting the expression of 36 proteins, to investigate at single cell resolution, the cellular composition and spatial architecture of human acute lung injury including SARS-CoV-2. This spatially resolved, single-cell data unravels the disordered structure of the infected and injured lung alongside the distribution of extensive immune infiltration. Neutrophil and macrophage infiltration are hallmarks of bacterial pneumonia and COVID-19, respectively. We provide evidence that SARS-CoV-2 infects predominantly alveolar epithelial cells and induces a localized hyper-inflammatory cell state associated with lung damage. By leveraging the temporal range of COVID-19 severe fatal disease in relation to the time of symptom onset, we observe increased macrophage extravasation, mesenchymal cells, and fibroblasts abundance concomitant with increased proximity between these cell types as the disease progresses, possibly as an attempt to repair the damaged lung tissue. This spatially resolved single-cell data allowed us to develop a biologically interpretable landscape of lung pathology from a structural, immunological and clinical standpoint. This spatial single-cell landscape enabled the pathophysiological characterization of the human lung from its macroscopic presentation to the single-cell, providing an important basis for the understanding of COVID-19, and lung pathology in general.
description: We make available MCD files containing raw imaging mass cytometry data for 7 samples, totaling 46 regions of lung tissue in healthy donors and COVID-19 patients. For these data we used a focused panel targeting the immune system components and their functional/activation states. Companion deposit to https://doi.org/10.5281/zenodo.4110560
DOI: 10.5281/zenodo.4637033
title: The spatial landscape of lung pathology during COVID-19 progression - immune activation IMC data

description: Recent studies have provided insights into the pathology and immune response to coronavirus disease 2019 (COVID-19). However thorough interrogation of the interplay between infected cells and the immune system at sites of infection is lacking. We use high parameter imaging mass cytometry targeting the expression of 36 proteins, to investigate at single cell resolution, the cellular composition and spatial architecture of human acute lung injury including SARS-CoV-2. This spatially resolved, single-cell data unravels the disordered structure of the infected and injured lung alongside the distribution of extensive immune infiltration. Neutrophil and macrophage infiltration are hallmarks of bacterial pneumonia and COVID-19, respectively. We provide evidence that SARS-CoV-2 infects predominantly alveolar epithelial cells and induces a localized hyper-inflammatory cell state associated with lung damage. By leveraging the temporal range of COVID-19 severe fatal disease in relation to the time of symptom onset, we observe increased macrophage extravasation, mesenchymal cells, and fibroblasts abundance concomitant with increased proximity between these cell types as the disease progresses, possibly as an attempt to repair the damaged lung tissue. This spatially resolved single-cell data allowed us to develop a biologically interpretable landscape of lung pathology from a structural, immunological and clinical standpoint. This spatial single-cell landscape enabled the pathophysiological characterization of the human lung from its macroscopic presentation to the single-cell, providing an important basis for the understanding of COVID-19, and lung pathology in general.
description: We make available MCD files containing raw imaging mass cytometry data for 7 samples, totaling 46 regions of lung tissue in healthy donors and COVID-19 patients. For these data we used a focused panel targeting the immune system components and their functional/activation states. Companion deposit to https://doi.org/10.5281/zenodo.4110560
DOI: 10.6084/m9.figshare.13369304
title: Data from Climatic drivers of Sphagnum species distributions

description: Presences used to model Sphagnum distributions across Europe at resolutions 10, 25, 50, 100 and 200 km. Model projection rasters for the selected models.<br>
DOI: 10.6084/m9.figshare.13369304.v2
title: Data from Climatic drivers of Sphagnum species distributions

description: Presences used to model Sphagnum distributions across Europe at resolutions 10, 25, 50, 100 and 200 km. Model projection rasters for the selected models.<br>
DOI: 10.6084/m9.figshare.13369304.v1
title: Presences and output of model choices of Sphagnum distribution.zip

description: Presences used to model Sphagnum distributions across Europe at resolutions 10, 25, 50, 100 and 200 km. Model projection rasters for the selected models.<br>
DOI: 10.15468/wb69ah
title: A new madicolous species of Nilotanypus Kieffer (Diptera: Chironomidae) from Amazon region, northwestern Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shimabukuro, Erika Mayumi, Dantas, Galileu P. S., Lamas, Carlos José Einicker (2021): A new madicolous species of Nilotanypus Kieffer (Diptera: Chironomidae) from Amazon region, northwestern Brazil. Zootaxa 4948 (3): 431-438, DOI: https://doi.org/10.11646/zootaxa.4948.3.7
DOI: 10.6084/m9.figshare.14312525
title: Test_Publish

description: Data testing figshare publish rename
DOI: 10.6084/m9.figshare.14312525.v1
title: Test_Publish

description: Data testing figshare publish rename
DOI: 10.6084/m9.figshare.14312453
title: Genome Divergence and Dynamics in an African Thin-tailed Desert Sheep

description: The submitted data are in compressed plink format (bed/bim/fam) include 519711 SNPs from Sudanese sheep.
DOI: 10.6084/m9.figshare.14312453.v1
title: Genome Divergence and Dynamics in an African Thin-tailed Desert Sheep

description: The submitted data are in compressed plink format (bed/bim/fam) include 519711 SNPs from Sudanese sheep.
DOI: 10.6084/m9.figshare.14301272
title: SRP Data - Treehouse Pipeline

description: RNA seq data in Hugo log2(TPM+1) format.
DOI: 10.6084/m9.figshare.14301272.v1
title: SRP Data - Treehouse Pipeline

description: RNA seq data in Hugo log2(TPM+1) format.
DOI: 10.25345/c5hf8p
title: MassIVE MSV000087100 - Vibrio campbellii C/N-limitation
title: Analyses of Vibrio campbellii CAIM519 under C- and N-limited growth conditions, in both light and dark. Peak Lists are diDO-IPTL analyses; Raw files are unlabeled peptide with 2 synthetic proteorhodopsin standard peptides. See Gallagher & Waldbauer (mSystems) for details.
DOI: 10.6084/m9.figshare.14312507
title: Data for OA2443

description: The quantitative data used in this study, Supplemental file 1, and Supplemental file 2 are available.
DOI: 10.6084/m9.figshare.14312507.v1
title: Data for OA2443

description: The quantitative data used in this study, Supplemental file 1, and Supplemental file 2 are available.
DOI: 10.5281/zenodo.4110560
title: The spatial landscape of lung pathology during COVID-19 progression - raw IMC data

description: Recent studies have provided insights into the pathology and immune response to coronavirus disease 2019 (COVID-19). However thorough interrogation of the interplay between infected cells and the immune system at sites of infection is lacking. We use high parameter imaging mass cytometry9 targeting the expression of 36 proteins, to investigate at single cell resolution, the cellular composition and spatial architecture of human acute lung injury including SARS-CoV-2. This spatially resolved, single-cell data unravels the disordered structure of the infected and injured lung alongside the distribution of extensive immune infiltration. Neutrophil and macrophage infiltration are hallmarks of bacterial pneumonia and COVID-19, respectively. We provide evidence that SARS-CoV-2 infects predominantly alveolar epithelial cells and induces a localized hyper-inflammatory cell state associated with lung damage. By leveraging the temporal range of COVID-19 severe fatal disease in relation to the time of symptom onset, we observe increased macrophage extravasation, mesenchymal cells, and fibroblasts abundance concomitant with increased proximity between these cell types as the disease progresses, possibly as an attempt to repair the damaged lung tissue. This spatially resolved single-cell data allowed us to develop a biologically interpretable landscape of lung pathology from a structural, immunological and clinical standpoint. This spatial single-cell landscape enabled the pathophysiological characterization of the human lung from its macroscopic presentation to the single-cell, providing an important basis for the understanding of COVID-19, and lung pathology in general.
description: We make available MCD files containing raw imaging mass cytometry data for all 23 samples, totaling 240 regions of lung tissue. Please see as well the companion deposits: - IMC dataset, cell masks: https://zenodo.org/deposit/4139443 - IHC dataset: https://zenodo.org/record/4633906 - GeoMx dataset: https://zenodo.org/record/4635286
DOI: 10.5281/zenodo.4110559
title: The spatial landscape of lung pathology during COVID-19 progression - raw IMC data

description: Recent studies have provided insights into the pathology and immune response to coronavirus disease 2019 (COVID-19). However thorough interrogation of the interplay between infected cells and the immune system at sites of infection is lacking. We use high parameter imaging mass cytometry9 targeting the expression of 36 proteins, to investigate at single cell resolution, the cellular composition and spatial architecture of human acute lung injury including SARS-CoV-2. This spatially resolved, single-cell data unravels the disordered structure of the infected and injured lung alongside the distribution of extensive immune infiltration. Neutrophil and macrophage infiltration are hallmarks of bacterial pneumonia and COVID-19, respectively. We provide evidence that SARS-CoV-2 infects predominantly alveolar epithelial cells and induces a localized hyper-inflammatory cell state associated with lung damage. By leveraging the temporal range of COVID-19 severe fatal disease in relation to the time of symptom onset, we observe increased macrophage extravasation, mesenchymal cells, and fibroblasts abundance concomitant with increased proximity between these cell types as the disease progresses, possibly as an attempt to repair the damaged lung tissue. This spatially resolved single-cell data allowed us to develop a biologically interpretable landscape of lung pathology from a structural, immunological and clinical standpoint. This spatial single-cell landscape enabled the pathophysiological characterization of the human lung from its macroscopic presentation to the single-cell, providing an important basis for the understanding of COVID-19, and lung pathology in general.
description: We make available MCD files containing raw imaging mass cytometry data for all 23 samples, totaling 240 regions of lung tissue. Please see as well the companion deposits: - IMC dataset, cell masks: https://zenodo.org/deposit/4139443 - IHC dataset: https://zenodo.org/record/4633906 - GeoMx dataset: https://zenodo.org/record/4635286
DOI: 10.15468/2u2d75
title: Taxonomic revision of the Campoplex difformis group (Ichneumonidae, Campopleginae), with particular reference to species of economic importance

description: This dataset contains the digitized treatments in Plazi based on the original journal article Giovanni, Filippo Di, Scaramozzino, Pier Luigi, Loni, Augusto, Lucchi, Andrea (2021): Taxonomic revision of the Campoplex difformis group (Ichneumonidae, Campopleginae), with particular reference to species of economic importance. European Journal of Taxonomy 740: 1-35, DOI: https://doi.org/10.5852/ejt.2021.740.1277, URL: http://dx.doi.org/10.5852/ejt.2021.740.1277
DOI: 10.5281/zenodo.4635300
title: C3 Protein Crystallization Dataset

description: <pre>Data-set containing labelled images from crystallization experiments Has both visible light images and UV images. Each image pair is from an unique experiment. Corresponding numbers in the vis and uv datasets are from the same experiment. Total: 8868 Label: - Other: 721 - Clear: 2088 - Precipitate: 3550 - Crystals: 2509 </pre>
DOI: 10.5281/zenodo.4635299
title: C3 Protein Crystallization Dataset

description: <pre>Data-set containing labelled images from crystallization experiments Has both visible light images and UV images. Each image pair is from an unique experiment. Corresponding numbers in the vis and uv datasets are from the same experiment. Total: 8868 Label: - Other: 721 - Clear: 2088 - Precipitate: 3550 - Crystals: 2509 </pre>
DOI: 10.18112/openneuro.ds003574.v1.0.0
title: Reward biases spontaneous neural reactivation during sleep
DOI: 10.5517/ccdc.csd.cc26rw95
title: CCDC 2048737: Experimental Crystal Structure Determination

description: Related Article: Ce Qing Foo, Abdul Sadeer, Yongxin Li, Sumod A. Pullarkat, Pak-Hing Leung|2021|Organometallics|40|682|doi:10.1021/acs.organomet.0c00783
DOI: 10.5517/ccdc.csd.cc26rwkf
title: CCDC 2048745: Experimental Crystal Structure Determination

description: Related Article: Bo-Sun Yun, So-Yoen Kim, Jin-Hyoung Kim, Ho-Jin Son, Sang Ook Kang|2021|J.Mater.Chem.C|9|4062|doi:10.1039/D0TC05832G
DOI: 10.5517/ccdc.csd.cc26s0np
title: CCDC 2048872: Experimental Crystal Structure Determination

description: Related Article: Bo-Sun Yun, So-Yoen Kim, Jin-Hyoung Kim, Ho-Jin Son, Sang Ook Kang|2021|J.Mater.Chem.C|9|4062|doi:10.1039/D0TC05832G
DOI: 10.5517/ccdc.csd.cc26t2sx
title: CCDC 2049899: Experimental Crystal Structure Determination

description: Related Article: Benjamin H. Wilson, Louae M. Abdulla, Robert W. Schurko, Stephen J. Loeb|2021|Chemical Science|12|3944|doi:10.1039/D0SC06837C
DOI: 10.5517/ccdc.csd.cc26t2ty
title: CCDC 2049900: Experimental Crystal Structure Determination

description: Related Article: Benjamin H. Wilson, Louae M. Abdulla, Robert W. Schurko, Stephen J. Loeb|2021|Chemical Science|12|3944|doi:10.1039/D0SC06837C
DOI: 10.5517/ccdc.csd.cc26t2vz
title: CCDC 2049901: Experimental Crystal Structure Determination

description: Related Article: Benjamin H. Wilson, Louae M. Abdulla, Robert W. Schurko, Stephen J. Loeb|2021|Chemical Science|12|3944|doi:10.1039/D0SC06837C
DOI: 10.5517/ccdc.csd.cc26vsc7
title: CCDC 2051529: Experimental Crystal Structure Determination

description: Related Article: Haiyang Zhang, Lin Cheng, Hao Nian, Jiang Du, Tao Chen, Liping Cao|2021|Chem.Commun.|57|3135|doi:10.1039/D1CC00303H
DOI: 10.5517/ccdc.csd.cc26yq30
title: CCDC 2054342: Experimental Crystal Structure Determination

description: Related Article: Shui Yu, Huancheng Hu, Yunkai Chen, Zilu Chen, Zhanyun Zhang, Man-Man Ding, Yi-Quan Zhang, Dongcheng Liu, Yuning Liang, Fupei Liang|2021|J.Mater.Chem.C|9|3854|doi:10.1039/D0TC03250F
DOI: 10.5517/ccdc.csd.cc26yq41
title: CCDC 2054343: Experimental Crystal Structure Determination

description: Related Article: Shui Yu, Huancheng Hu, Yunkai Chen, Zilu Chen, Zhanyun Zhang, Man-Man Ding, Yi-Quan Zhang, Dongcheng Liu, Yuning Liang, Fupei Liang|2021|J.Mater.Chem.C|9|3854|doi:10.1039/D0TC03250F
DOI: 10.5517/ccdc.csd.cc270qbb
title: CCDC 2056271: Experimental Crystal Structure Determination

description: Related Article: José Manuel Botubol-Ares, Safa Cordón-Ouahhabi, Zakaria Moutaoukil, Isidro G. Collado, Manuel Jiménez-Tenorio, M. Carmen Puerta, Pedro Valerga|2021|Organometallics|40|792|doi:10.1021/acs.organomet.1c00045
DOI: 10.5517/ccdc.csd.cc274ybp
title: CCDC 2060332: Experimental Crystal Structure Determination

description: Related Article: M. Trinidad Martín, Mario Marín, Raquel J. Rama, Eleuterio Álvarez, Celia Maya, Francisco Molina, M. Carmen Nicasio|2021|Chem.Commun.|57|3083|doi:10.1039/D1CC00676B
DOI: 10.5517/ccdc.csd.cc274ydr
title: CCDC 2060334: Experimental Crystal Structure Determination

description: Related Article: M. Trinidad Martín, Mario Marín, Raquel J. Rama, Eleuterio Álvarez, Celia Maya, Francisco Molina, M. Carmen Nicasio|2021|Chem.Commun.|57|3083|doi:10.1039/D1CC00676B
DOI: 10.5517/ccdc.csd.cc274yfs
title: CCDC 2060335: Experimental Crystal Structure Determination

description: Related Article: M. Trinidad Martín, Mario Marín, Raquel J. Rama, Eleuterio Álvarez, Celia Maya, Francisco Molina, M. Carmen Nicasio|2021|Chem.Commun.|57|3083|doi:10.1039/D1CC00676B
DOI: 10.5517/ccdc.csd.cc274ygt
title: CCDC 2060336: Experimental Crystal Structure Determination

description: Related Article: M. Trinidad Martín, Mario Marín, Raquel J. Rama, Eleuterio Álvarez, Celia Maya, Francisco Molina, M. Carmen Nicasio|2021|Chem.Commun.|57|3083|doi:10.1039/D1CC00676B
DOI: 10.5517/ccdc.csd.cc275lwx
title: CCDC 2060969: Experimental Crystal Structure Determination

description: Related Article: Alesandere Ortega, Uxue Uria, Tomás Tejero, Liher Prieto, Efraim Reyes, Pedro Merino, Jose L. Vicario|2021|Org.Lett.|23|2326|doi:10.1021/acs.orglett.1c00470
DOI: 10.17870/bathspa.13026728.v1
title: Curious about Care - Contextualising Information

description: Curious about Care is a series of painting machines reliant on the attention of others for their activation. By making public the role of care in the machine’s maintenance and upkeep this research seeks to understand if actively engaging the hand of others in the manufacture of a painting, in real time and with an audience, alters engagement and broadens access to the complex debates inherent in the works.This item contains the following contextualising information:1. Online publicity for <i><b>Test Run</b></i> at Museum of Modern Art Oxford, 2 May - 8 June, 2014. View via this link .2. A video introduction to the exhibition <i><b>Test Run</b></i> at Museum of Modern Art Oxford, 2 May - 8 June, 2014. Available online here.3. Machine drawings for work shown at <i><b>Test Run</b></i>. Courtesy of Natasha Kidd. Used with permission.4. An exhibition flyer and press release for <i><b>Test Run</b></i> at Museum of Modern Art Oxford, 2 May - 8 June, 2014. Courtesy of Modern Art Oxford. Used with permission.5. Online press for <i>I<b>ngredients, Method, Serving Suggestion</b></i> at APT Gallery, London, August 2016. View via this link.6. Machine drawings and production images for <i><b>Painting in Time II</b></i> for the Sullivan Galleries, School of Art Institute Chicago, 30 August - 3 Dec, 2016. Images courtesy of Natasha Kidd. Used with permission.7. Machine drawings and production images for <i><b>D-Coincidence</b></i> at Yo Chang Art Museum, Taiwan, November 2016, part of the Greater Taipei Biennial of Contemporary Arts 2016. Images courtesy of Natasha Kidd. Used with permission.8. A link to the Yo-Chang Art Museum web pages for the <b>Greater Taipei Biennial of Contemporary Arts</b> 2016. View via this link.9. Artist notes and an exhibition flyer for <i><b>Painting Amongst Other Things</b> </i>at Drill Hall, Canberra, Australia, 10 August - 7 October, 2018. Courtesy of Anthony Oates. Design by Small Tasks. Used with permission.10. Online publicity for <i><b>Painting Amongst Other Things</b> </i>at Drill Hall, Canberra, Australia, 10 August - 7 October, 2018. View via this link.The above links can also be accessed below under 'References'.<b>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law.</b>
DOI: 10.6084/m9.figshare.14312558
title: depression-hopelessness

description: association of digit ratio whit depression and hopelessness
DOI: 10.6084/m9.figshare.14312558.v1
title: depression-hopelessness

description: association of digit ratio whit depression and hopelessness
DOI: 10.6084/m9.figshare.14312246
title: GCBS5086_Laica_ProjectData

description: Genomes for Laica
DOI: 10.6084/m9.figshare.14312246.v1
title: GCBS5086_Laica_ProjectData

description: Genomes for Laica
DOI: 10.6084/m9.figshare.14312576
title: depression/hopelessness

description: Association of digit ratio with depression and hopelessness
DOI: 10.5281/zenodo.4638182
title: Air quality and mortality research trends from 2016-2020

description: This database provides research studies for the last five years (2016-2020) related to air quality and population mortality.
DOI: 10.5281/zenodo.4638181
title: Air quality and mortality research trends from 2016-2020

description: This database provides research studies for the last five years (2016-2020) related to air quality and population mortality.
DOI: 10.6084/m9.figshare.3761562.v1816
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.14312579
title: Figure 1A datasource file.xlsx

description: CCDC137 protein levels in the presence of Wild-type and Q65R Vpr
DOI: 10.6084/m9.figshare.14312579.v1
title: Figure 1A datasource file.xlsx

description: CCDC137 protein levels in the presence of Wild-type and Q65R Vpr
DOI: 10.6084/m9.figshare.14312582.v1
title: Figure 1C datasource file.xlsx

description: HIV-1 Vpr mediated degradation of CCDC137 requires neddylation. CCDC137 band quantification results in the presence or absence of neddylation inhibitor MLN4924.