cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2ffzjd
title: CCDC 2247764: Experimental Crystal Structure Determination

description: Related Article: D. Christopher Braddock, Ben C. Rowley, Paul D. Lickiss, Steven J. Fussell, Rabia Qamar, David Pugh, Henry S. Rzepa, Andrew J. P. White|2023|J.Org.Chem.|88|9853|doi:10.1021/acs.joc.3c00585
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.cc2ffzkf
title: CCDC 2247765: Experimental Crystal Structure Determination

description: Related Article: D. Christopher Braddock, Ben C. Rowley, Paul D. Lickiss, Steven J. Fussell, Rabia Qamar, David Pugh, Henry S. Rzepa, Andrew J. P. White|2023|J.Org.Chem.|88|9853|doi:10.1021/acs.joc.3c00585
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.cc2ffzlg
title: CCDC 2247766: Experimental Crystal Structure Determination

description: Related Article: D. Christopher Braddock, Ben C. Rowley, Paul D. Lickiss, Steven J. Fussell, Rabia Qamar, David Pugh, Henry S. Rzepa, Andrew J. P. White|2023|J.Org.Chem.|88|9853|doi:10.1021/acs.joc.3c00585
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.23668467
title: data.xls

description: This is the data gathered through a questionnaire that was distributed to over 400 respondents in the moroccan public sector. the questionnaire was established on a 5-point Likert scale, this dataset contains the anonymized responses of employees of the Moroccan public sector.
DOI: 10.5281/zenodo.8192012
title: Molecular dynamics simulation data 2: Structure of the connexin-43 gap junction channel in a putative closed state

description: Molecular dynamics data for the manuscript Qi C.*, Acosta-Gutierrez S.*, Lavriha P., Othman A., Lopez-Pigozzi D., Bayraktar E., Schuster D., Picotti P., Zamboni N., Bortolozzi M., Gervasio F.L., Korkhov V.M. Structure of the connexin-43 gap junction channel in a putative closed state. eLife (2023) https://doi.org/10.7554/eLife.87616.2 The dataset includes: 1. The starting coordinates, topology, MD inputs 2. Production run gromacs trajectories for the Cx43 hemichannel
description: {"references": ["Qi, Acosta-Gutierrez et al. Structure of the connexin-43 gap junction channel in a putative closed state. eLife (2023) https://doi.org/10.7554/eLife.87616.2"]}
DOI: 10.34740/kaggle/dsv/6210014
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.8192418
title: Phenolic compounds and Aromatic acids emission factors

description: Primary and secondary emission data of phenolic compounds and Aromatic acids from different fuels combustion.
DOI: 10.5281/zenodo.8192417
title: Phenolic compounds and Aromatic acids emission factors

description: Primary and secondary emission data of phenolic compounds and Aromatic acids from different fuels combustion.
DOI: 10.34740/kaggle/dsv/6210023
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.8155015
title: Climatological maps of sea ice variability for the Antarctic marginal ice zone

description: Monthly climatologies of a statistical indicator of sea ice variability computed from daily maps of sea ice concentration (SIC) from satellites (Vichi, 2022). The sigma_SIA indicator is based on the standard deviation of SIC daily anomalies computed over<br> the monthly time scales, using a monthly climatology over the period 1989-2019 as the baseline. The analysis starts from year 1989 since before that period data were every second day. <strong>Please use the most updated version of this dataset and cite the main DOI unless required</strong> The following files have been derived from NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4 (https://doi.org/10.7265/efmz-2t65 and used in Vichi (2022). The code to produce them is available at the following repository https://github.com/mvichi/antarcticMIZ (DOI:10.25375/uct.21103363) <strong>NSIDC_cdr_clim_m_sigmaSIA.nc</strong>: Climatological monthly sigma_SIA (climatological 'pooled' monthly std of daily anomaly) from NOAA/NSIDC CDR V4 Southern Hemisphere Sea Ice Concentration <strong>NSIDC_cdr_clim_m_maskMIZ.nc</strong>: Climatological mask of the MIZ extent using a sigma_SIA&gt;0.1 criterion <strong>NSIDC_cdr_clim_m_sigmaSIA_exceedance.nc</strong>: Climatological probability maps of exceeding sigma_SIA&gt;0.1 and sigma_SIA&gt;0.2 <strong>NSIDC_cdr_m_sigmaSIA.nc</strong>: Monthly sigma_SIA from NOAA/NSIDC CDR V4 Southern Hemisphere Sea Ice Concentration. Please note that file 1 above is not the climatology obtained from this file. NetCDF files 1-3 contain 12 monthly arrays with the climatological sigma_SIA computed over the period 1989-2019. Please note that the indicator in these file is in % of SIC, while in the original paper it is presented in fractional units. File 4 has 396 records for all the months in the analyzed period. The units are fractional as in Vichi (2022). <strong>Reference</strong> Vichi, M.: An indicator of sea ice variability for the Antarctic marginal ice zone, The Cryosphere, 16, 4087–4106, https://doi.org/10.5194/tc-16-4087-2022, 2022.
description: This project has received funding from the National Research Foundation through the South African National Antarctic Program and from the Whales&Climate Program (https://whalesandclimate.org)
description: {"references": ["NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4 https://doi.org/10.7265/efmz-2t65", "Vichi, M.: An indicator of sea ice variability for the Antarctic marginal ice zone, The Cryosphere, in press, 2022"]}
DOI: 10.5281/zenodo.7077675
title: Climatological maps of sea ice variability for the Antarctic marginal ice zone

description: Monthly climatologies of a statistical indicator of sea ice variability computed from daily maps of sea ice concentration (SIC) from satellites (Vichi, 2022). The sigma_SIA indicator is based on the standard deviation of SIC daily anomalies computed over<br> the monthly time scales, using a monthly climatology over the period 1989-2019 as the baseline. The analysis starts from year 1989 since before that period data were every second day. <strong>Please use the most updated version of this dataset and cite the main DOI unless required</strong> The following files have been derived from NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4 (https://doi.org/10.7265/efmz-2t65 and used in Vichi (2022). The code to produce them is available at the following repository https://github.com/mvichi/antarcticMIZ (DOI:10.25375/uct.21103363) <strong>NSIDC_cdr_clim_m_sigmaSIA.nc</strong>: Climatological monthly sigma_SIA (climatological 'pooled' monthly std of daily anomaly) from NOAA/NSIDC CDR V4 Southern Hemisphere Sea Ice Concentration <strong>NSIDC_cdr_clim_m_maskMIZ.nc</strong>: Climatological mask of the MIZ extent using a sigma_SIA&gt;0.1 criterion <strong>NSIDC_cdr_clim_m_sigmaSIA_exceedance.nc</strong>: Climatological probability maps of exceeding sigma_SIA&gt;0.1 and sigma_SIA&gt;0.2 <strong>NSIDC_cdr_m_sigmaSIA.nc</strong>: Monthly sigma_SIA from NOAA/NSIDC CDR V4 Southern Hemisphere Sea Ice Concentration. Please note that file 1 above is not the climatology obtained from this file. NetCDF files 1-3 contain 12 monthly arrays with the climatological sigma_SIA computed over the period 1989-2019. Please note that the indicator in these file is in % of SIC, while in the original paper it is presented in fractional units. File 4 has 396 records for all the months in the analyzed period. The units are fractional as in Vichi (2022). <strong>Reference</strong> Vichi, M.: An indicator of sea ice variability for the Antarctic marginal ice zone, The Cryosphere, 16, 4087–4106, https://doi.org/10.5194/tc-16-4087-2022, 2022.
description: This project has received funding from the National Research Foundation through the South African National Antarctic Program and from the Whales&Climate Program (https://whalesandclimate.org)
description: {"references": ["NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4 https://doi.org/10.7265/efmz-2t65", "Vichi, M.: An indicator of sea ice variability for the Antarctic marginal ice zone, The Cryosphere, in press, 2022"]}
DOI: 10.5255/ukda-sn-856301
title: Studies of Teachers' Emotion Percepts in Relation to Their Self-efficacy and Agency, 2020-2022

description: A series of studies were conducted to gather data illuminating teachers' experiences of emotions that motivate their professional engagement, together with associated relevant cognitions and actions. The first qualitative study involved interviewing teachers at the start of the pandemic lockdown. Analysis of interview transcripts confirmed an a priori assumption that teachers were motivated by CURIOSITY about the subjects they taught, and about effective pedagogical practice. Additionally, themes of motivation by CARE, COOPERATION and CHALLENGE were identified. Links to teachers' beliefs about their efficacy and their volitional actions were also identified. Survey data was then collected to examine relations between the four emotional motivators and teachers' self-efficacy and agency. Based on emotional motivations, five profile types were identified, each with distinct levels of self-efficacy and agency. A subsequent qualitative study gathered interview data from seven primary teachers who were initially introduced to findings from the first two studies, giving them insight into four proposed emotional motivators. Over the course of four interviews each, participants demonstrated how they used their new awareness as a framework to reflect on their practice, resulting in them prioritising self-care to optimise their capacity to perform effectively and persistently.
DOI: 10.18712/nsd-nsd3083-v1
title: Culture Utilization Survey 2021, main selection

description: Statistics Norway (Statistisk sentralbyrå or SSB) has conducted sample surveys on the use of culture and mass media since 1967. Starting from 1991, SSB has conducted quarterly surveys on cultural offerings every third or fourth year. Until 2016, these surveys were carried out in conjunction with the Media Use Survey (Bye, 2017).

In 2021, the Culture Utilization Survey underwent changes and was conducted as a separate and independent study. The survey in 2021 used a mixed-mode design, allowing respondents to answer either through a self-administered web form or a telephone interview.

The purpose of the survey was to:

Map the extent of people's use of cultural offerings in Norway, such as cinema, libraries, theaters, sports, and more.
Determine the types of cultural activities that different population groups choose and have access to.
Measure individual involvement in various cultural activities and study these aspects in the context of different cultural offerings.
Compare data with previous years. This statistics serves as a valuable source of information for public authorities and others interested in participating in the planning and development of the country's cultural offerings.
For the survey, a nationally representative sample of 6,000 individuals aged 9 years and older was selected.
DOI: 10.5281/zenodo.8192451
title: Data from Preliminary estimates of genetic parameters and familial selection for non-native poplars show good potential for genetic gains on growth, cold hardiness, trunk quality and Sphaerulina musiva susceptibility

description: Data from Preliminary estimates of genetic parameters and familial selection for non-native poplars show good potential for genetic gains on growth, cold hardiness, trunk quality and <em>Sphaerulina musiva</em> susceptibility <br> Abstract<br> Genetic parameters for growth, trunk quality and susceptibility to frost and <em>Sphaerulina musiva</em> attack was estimated from 34 half-sib families of hybrid poplar from the crossing of non-native parents, <em>Populus maximowiczii</em> A. Henry and <em>Populus trichocarpa</em> Torr. & Gray, 3 and 6 years after planting. The use of spatial analysis proved to be the best method for quantitative growth data. The proportion of the among-family variance to the total (phenotypic) variance as well as the high heritabilities of growth and susceptibility to frost and <em>Spaherulina musiva</em> showed a high potential for selection for these traits while the quality traits were under low genetic control. Some families showed gains for several traits, suggesting the possibility of developing a selection index to obtain superior families that show gain for not only growth but quality and adaptive traits as well. Type B correlations were high, suggesting that families responded in the same way regardless of the site. High type A correlation between growth traits at 3 and 6 years showed early selection potential, although these relationships should be confirmed with future measurements to evaluate this effect at maturity. These results can be integrated into the strategy for improving hybrid poplar parental populations and, in the longer term, will make it possible to optimize the selection of individuals with traits of interest for the operational deployment of hybrid poplar clones.
DOI: 10.5281/zenodo.8192450
title: Data from Preliminary estimates of genetic parameters and familial selection for non-native poplars show good potential for genetic gains on growth, cold hardiness, trunk quality and Sphaerulina musiva susceptibility

description: Data from Preliminary estimates of genetic parameters and familial selection for non-native poplars show good potential for genetic gains on growth, cold hardiness, trunk quality and <em>Sphaerulina musiva</em> susceptibility <br> Abstract<br> Genetic parameters for growth, trunk quality and susceptibility to frost and <em>Sphaerulina musiva</em> attack was estimated from 34 half-sib families of hybrid poplar from the crossing of non-native parents, <em>Populus maximowiczii</em> A. Henry and <em>Populus trichocarpa</em> Torr. & Gray, 3 and 6 years after planting. The use of spatial analysis proved to be the best method for quantitative growth data. The proportion of the among-family variance to the total (phenotypic) variance as well as the high heritabilities of growth and susceptibility to frost and <em>Spaherulina musiva</em> showed a high potential for selection for these traits while the quality traits were under low genetic control. Some families showed gains for several traits, suggesting the possibility of developing a selection index to obtain superior families that show gain for not only growth but quality and adaptive traits as well. Type B correlations were high, suggesting that families responded in the same way regardless of the site. High type A correlation between growth traits at 3 and 6 years showed early selection potential, although these relationships should be confirmed with future measurements to evaluate this effect at maturity. These results can be integrated into the strategy for improving hybrid poplar parental populations and, in the longer term, will make it possible to optimize the selection of individuals with traits of interest for the operational deployment of hybrid poplar clones.
DOI: 10.5255/ukda-sn-855126
title: Boats, Borders and Asylum: Government Interview Transcripts, 1999-2020

description: This collection contains anonymised and redacted interview transcripts from interviews with government and government service representatives. Those interviews where consent for recording and deposit are included. Interviews include one with a representative from the Canadian Navy, and two with interviews from representatives of the Spanish and Canadian federal governments. Interviews focused on established government policies for refugee reception, eligibility and support, and also Search and Rescue practices and procedures.
DOI: 10.5255/ukda-sn-855124
title: Boats, Borders and Asylum: NGO Interview Transcripts, 1991-2020

description: This collection represents anonymised and redacted interview transcripts from interviews with NGO/INGO organisational representatives. Interviews were conducted between 2016 and 2020, across several case studies: Canada (Vancouver, Ottawa), Greece (Athens, Kos), Spain (Almeria, Madrid), Australia (Canberra, Melbourne). Each organisation has a targeted responsibility for refugee settlement, support, or processing in each cases; in some cases, the NGO is internationally focused, and so interviews included discussion of advocacy and a comparison across cases. Interviews focus on practical experience and day-to-day activities, barriers to effective support, successes, and recommendations for change.
DOI: 10.6084/m9.figshare.21743021
title: Replication files for Poisson MGWR

description: Files to replicate the simulation and NYC Covid data study.
DOI: 10.6084/m9.figshare.23799480.v1
title: Hydrogenosome Proteins

description: Hydrogenosomal Proteomics from enriched fraction
DOI: 10.6084/m9.figshare.23799480
title: Hydrogenosome Proteins

description: Hydrogenosomal Proteomics from enriched fraction
DOI: 10.6084/m9.figshare.23796198
title: multiDGD - processed data and models

description: multiDGD is a new generative model for multi-omics data. This repository contains processed single-cell multiome datasets and trained models used in multiDGD paper (multiDGD package) (analysis repo)<b>Dataset IDs</b>human_bonemarrow - bone marrow dataset from NeurIPS OpenProblems competitionhuman_brain - Human brain dataset from 10X genomicsmouse_gastrulation - Mouse gastrulation dataset from Argelaguet et al. 2022<b>File types</b>{dataset_id}.h5ad - AnnData object of processed dataset{dataset_id}.h5mu - MuData object of processed datasetdgd_{dataset_id}.pt - trained multiDGD modeldgd_{dataset_id}_hyperparameters.json - model hyperparameters used during training
DOI: 10.6084/m9.figshare.21312270.v1
title: Computational prediction of RNA–RNA interactions between small RNA tracks from <em>Betacoronavirus</em> nonstructural protein 3 and neurotrophin genes during infection of an epithelial lung cancer cell line: Potential role of novel small regulatory RNA

description: Whether RNA–RNA interactions of cytoplasmic RNA viruses, such as <i>Betacoronavirus</i>, might end in the biogenesis of putative virus-derived small RNAs as miRNA-like molecules has been controversial. Even more, whether RNA–RNA interactions of wild animal viruses may act as virus-derived small RNAs is unknown. Here, we address these issues in four ways. First, we use conserved RNA structures undergoing negative selection in the genomes of SARS-CoV, MERS-CoV, and SARS-CoV-2 circulating in different bat species, intermediate animals, and human hosts. Second, a systematic literature review was conducted to identify <i>Betacoronavirus</i>-targeting hsa-miRNAs involved in lung cell infection. Third, we employed sophisticated long-range RNA–RNA interactions to refine the seed sequence homology of hsa-miRNAs with conserved RNA structures. Fourth, we used high-throughput RNA sequencing of a <i>Betacoronavirus</i>-infected epithelial lung cancer cell line (Calu-3) to validate the results. We proposed nine potential virus-derived small RNAs: two vsRNAs in SARS-CoV (Bats: SB-vsRNA-ORF1a-3p; SB-vsRNA-S-5p), one vsRNA in MERS-CoV (Bats: MB-vsRNA-ORF1b-3p), and six vsRNAs in SARS-CoV-2 (Bats: S2B-vsRNA-ORF1a-5p; intermediate animals: S2I-vsRNA-ORF1a-5p; and humans: S2H-vsRNA-ORF1a-5p, S2H-vsRNA-ORF1a-3p, S2H-vsRNA-ORF1b-3p, S2H-vsRNA-ORF3a-3p), mainly encoded by nonstructural protein 3. Notably, <i>Betacoronavirus</i>-derived small RNAs targeted 74 differentially expressed genes in infected human cells, of which 55 upregulate the molecular mechanisms underlying acute respiratory distress syndrome (ARDS), and the 19 downregulated genes might be implicated in neurotrophin signaling impairment. These results reveal a novel small RNA-based regulatory mechanism involved in neuropathogenesis that must be further studied to validate its therapeutic use.
DOI: 10.25345/c5ws8hx0v
title: MassIVE Reanalysis RMSV000000694.1 - ARF1 prevents aberrant type I IFN induction by regulating STING activation and recycling
title: Type I interferon (IFN) signalling is tightly controlled. Upon recognition of DNA by cyclic GMP-AMP synthase (cGAS), stimulator of interferon genes (STING) translocates along the endoplasmic reticulum (ER)-Golgi axis to induce IFN signalling. Termination is achieved through autophagic degradation or recycling of STING by retrograde Golgi-to-ER transport. Here, we identify the GTPase ARF1 as a crucial negative regulator of cGAS-STING signaling. Heterozygous ARF1 missense mutations cause a novel type I interferonopathy associated with enhanced IFN stimulated gene expression. Disease-associated, GTPase-defective, ARF1 results in increased cGAS-STING dependent type I IFN signalling in cell lines and primary patient cells. Mechanistically, mutated ARF1 leads to increased mitochondrial fusion and destabilization causing cGAS activation by aberrant mitochondrial DNA release, and promotes accumulation of active STING at the Golgi/ERGIC due to defective retrograde transport. Our data show that ARF1 has an unexpected dual role in maintaining cGAS-STING homeostasis, both through the promotion of mitochondrial fusion and STING recycling.
DOI: 10.6084/m9.figshare.23799489.v1
title: Hourly_Flow.xlsx

description: Hourly flow data from 2015 to 2017 for Taivalksoki station (Finland)
DOI: 10.6084/m9.figshare.23799489
title: Hourly_Flow.xlsx

description: Hourly flow data from 2015 to 2017 for Taivalksoki station (Finland)