cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9947696.v2
title: Long non-coding RNA <i>SNHG4</i> promotes cervical cancer progression through regulating c-Met via targeting miR-148a-3p

description: Long non-coding RNA (lncRNA) <i>SNHG4</i> has been shown to be associated with the development of a variety of cancers. The purpose of this study was to investigate the effect of <i>SNHG4</i> on cervical cancer (CC) and the corresponding mechanism. The qRT-PCR was used to determine the expressions of SNHG4 and <i>miR-148a-3p</i> in CC cell lines and tissues. Cell apoptosis and proliferation were measured by flow cytometry and MTT assay, respectively. The interaction between SNHG4, <i>miR-148a-3p</i> and <i>c-Met</i> was verified by bioinformatics, dual-luciferase reporter gene and RNA immunoprecipitation (RIP), and the effect of <i>SNHG4</i> on the growth of CC tumor <i>in vivo</i> was explored. The expression of <i>SNHG4</i> was increased in both CC cell lines and tissues, while the expression of <i>miR-148a-3p</i> was down-regulated. Meanwhile, silencing SNHG4 remarkably inhibited CC cell proliferation and promoted apoptosis. In addition, miR-148a-3p was a direct target gene of <i>SNHG4</i>, and down-regulation of miR-148a-3p could observably reverse the effect of silencing <i>SNHG4</i> on the proliferation and apoptosis of CC cells. More importantly, <i>SNHG4</i> could up-regulate the expression of <i>c-Met</i> by targeting and interacting with <i>miR-148a-3p</i>. Finally, <i>in vivo</i> experiments confirmed that silence SNHG4 down-regulated the expression of <i>c-Met</i> by promoting <i>miR-148a-3p</i>, and ultimately suppressed the growth of CC tumor <i>in vivo</i>. In conclusion, <i>SNHG4</i> could be used as a competitive endogenous RNA to bind to miR-148a-3p, thereby up-regulating the expression of <i>c-Met</i> and ultimately promoting the progression of CC, which provided a potential therapeutic target for the targeted treatment of CC.
DOI: 10.25416/ntr.21507705
title: Using Positive Pedagogy to Support Neurodiverse Law Students

description: Research Poster
DOI: 10.25416/ntr.21507705.v1
title: Using Positive Pedagogy to Support Neurodiverse Law Students

description: Research Poster
DOI: 10.5517/ccdc.csd.cc27yvfh
title: CCDC 2084267: Experimental Crystal Structure Determination

description: Related Article: Gayathri B. Gange, Amanda L. Humphries, Mark D. Smith, Dmitry V. Peryshkov|2022|Inorg.Chem.|61|18568|doi:10.1021/acs.inorgchem.2c02919
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.cc26std7
title: CCDC 2049639: Experimental Crystal Structure Determination

description: Related Article: Juan J. Rojas, Rosemary A. Croft, Alistair J. Sterling, Edward L. Briggs, Daniele Antermite, Daniel C. Schmitt, Luka Blagojevic, Peter Haycock, Andrew J. P. White, Fernanda Duarte, Chulho Choi, James J. Mousseau, James A. Bull|2022|Nature Chemistry|14|160|doi:10.1038/s41557-021-00856-2
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.cc26stf8
title: CCDC 2049640: Experimental Crystal Structure Determination

description: Related Article: Juan J. Rojas, Rosemary A. Croft, Alistair J. Sterling, Edward L. Briggs, Daniele Antermite, Daniel C. Schmitt, Luka Blagojevic, Peter Haycock, Andrew J. P. White, Fernanda Duarte, Chulho Choi, James J. Mousseau, James A. Bull|2022|Nature Chemistry|14|160|doi:10.1038/s41557-021-00856-2
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.cc289sx9
title: CCDC 2094791: Experimental Crystal Structure Determination

description: Related Article: Juan J. Rojas, Rosemary A. Croft, Alistair J. Sterling, Edward L. Briggs, Daniele Antermite, Daniel C. Schmitt, Luka Blagojevic, Peter Haycock, Andrew J. P. White, Fernanda Duarte, Chulho Choi, James J. Mousseau, James A. Bull|2022|Nature Chemistry|14|160|doi:10.1038/s41557-021-00856-2
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.cc289syb
title: CCDC 2094792: Experimental Crystal Structure Determination

description: Related Article: Juan J. Rojas, Rosemary A. Croft, Alistair J. Sterling, Edward L. Briggs, Daniele Antermite, Daniel C. Schmitt, Luka Blagojevic, Peter Haycock, Andrew J. P. White, Fernanda Duarte, Chulho Choi, James J. Mousseau, James A. Bull|2022|Nature Chemistry|14|160|doi:10.1038/s41557-021-00856-2
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.cc26sy32
title: CCDC 2049754: Experimental Crystal Structure Determination

description: Related Article: Juan J. Rojas, Rosemary A. Croft, Alistair J. Sterling, Edward L. Briggs, Daniele Antermite, Daniel C. Schmitt, Luka Blagojevic, Peter Haycock, Andrew J. P. White, Fernanda Duarte, Chulho Choi, James J. Mousseau, James A. Bull|2022|Nature Chemistry|14|160|doi:10.1038/s41557-021-00856-2
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.cc289szc
title: CCDC 2094793: Experimental Crystal Structure Determination

description: Related Article: Juan J. Rojas, Rosemary A. Croft, Alistair J. Sterling, Edward L. Briggs, Daniele Antermite, Daniel C. Schmitt, Luka Blagojevic, Peter Haycock, Andrew J. P. White, Fernanda Duarte, Chulho Choi, James J. Mousseau, James A. Bull|2022|Nature Chemistry|14|160|doi:10.1038/s41557-021-00856-2
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.cc289t0f
title: CCDC 2094794: Experimental Crystal Structure Determination

description: Related Article: Juan J. Rojas, Rosemary A. Croft, Alistair J. Sterling, Edward L. Briggs, Daniele Antermite, Daniel C. Schmitt, Luka Blagojevic, Peter Haycock, Andrew J. P. White, Fernanda Duarte, Chulho Choi, James J. Mousseau, James A. Bull|2022|Nature Chemistry|14|160|doi:10.1038/s41557-021-00856-2
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.cc289t1g
title: CCDC 2094795: Experimental Crystal Structure Determination

description: Related Article: Juan J. Rojas, Rosemary A. Croft, Alistair J. Sterling, Edward L. Briggs, Daniele Antermite, Daniel C. Schmitt, Luka Blagojevic, Peter Haycock, Andrew J. P. White, Fernanda Duarte, Chulho Choi, James J. Mousseau, James A. Bull|2022|Nature Chemistry|14|160|doi:10.1038/s41557-021-00856-2
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.cc289t2h
title: CCDC 2094796: Experimental Crystal Structure Determination

description: Related Article: Juan J. Rojas, Rosemary A. Croft, Alistair J. Sterling, Edward L. Briggs, Daniele Antermite, Daniel C. Schmitt, Luka Blagojevic, Peter Haycock, Andrew J. P. White, Fernanda Duarte, Chulho Choi, James J. Mousseau, James A. Bull|2022|Nature Chemistry|14|160|doi:10.1038/s41557-021-00856-2
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.cc289whz
title: CCDC 2094871: Experimental Crystal Structure Determination

description: Related Article: Juan J. Rojas, Rosemary A. Croft, Alistair J. Sterling, Edward L. Briggs, Daniele Antermite, Daniel C. Schmitt, Luka Blagojevic, Peter Haycock, Andrew J. P. White, Fernanda Duarte, Chulho Choi, James J. Mousseau, James A. Bull|2022|Nature Chemistry|14|160|doi:10.1038/s41557-021-00856-2
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.6865879
title: A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata

description: Photovoltaic (PV) energy generation plays a crucial role in the energy transition. Small-scale PV installations are deployed at an unprecedented pace, and their integration into the grid can be challenging since stakeholders often lack quality data about these installations. Overhead imagery is increasingly used to improve the knowledge of distributed PV installations with machine learning models capable of automatically mapping these installations. However, these models cannot be easily transferred from one region or data source to another due to differences in image acquisition. To address this issue known as domain shift and foster the development of PV array mapping pipelines, we propose a dataset containing aerial images, annotations, and segmentation masks. We provide installation metadata for more than 28,000 installations. We provide ground truth segmentation masks for 13,000 installations, including 7,000 with annotations for two different image providers. Finally, we provide ground truth annotations and associated installation metadata for more than 8,000 installations. Dataset applications include end-to-end PV registry construction, robust PV installations mapping, and analysis of crowdsourced datasets. This dataset contains the complete records associated with the article "A crowdsourced dataset of aerial images of solar panels, their segmentation masks, and characteristics", currently under review. These complete records consist of RGB overhead imagery, segmentation masks, and characteristics of PV installations. The data records are organized as follows: <strong>bdappv/</strong> Root data folder <strong>google / ign:</strong> One folder for each campaign <strong>img/</strong>: Folder containing all the images presented to the users. This folder contains 28807 images for Google and 17325 images for IGN. <strong>mask/</strong>: Folder containing all segmentations masks generated from the polygon annotations of the users. This folder contains 13303 masks for Google and 7686 masks for IGN. <strong>metadata.csv</strong> The <code>.csv</code> file with the characteristics of the installations.
DOI: 10.5281/zenodo.7059985
title: A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata

description: Photovoltaic (PV) energy generation plays a crucial role in the energy transition. Small-scale PV installations are deployed at an unprecedented pace, and their integration into the grid can be challenging since stakeholders often lack quality data about these installations. Overhead imagery is increasingly used to improve the knowledge of distributed PV installations with machine learning models capable of automatically mapping these installations. However, these models cannot be easily transferred from one region or data source to another due to differences in image acquisition. To address this issue known as domain shift and foster the development of PV array mapping pipelines, we propose a dataset containing aerial images, annotations, and segmentation masks. We provide installation metadata for more than 28,000 installations. We provide ground truth segmentation masks for 13,000 installations, including 7,000 with annotations for two different image providers. Finally, we provide ground truth annotations and associated installation metadata for more than 8,000 installations. Dataset applications include end-to-end PV registry construction, robust PV installations mapping, and analysis of crowdsourced datasets. This dataset contains the complete records associated with the article "A crowdsourced dataset of aerial images of solar panels, their segmentation masks, and characteristics", currently under review. The preprint is accessible here. These complete records consist of RGB overhead imagery, segmentation masks, and characteristics of PV installations. The data records are organized as follows: <strong>bdappv/</strong> Root data folder <strong>google / ign:</strong> One folder for each campaign <strong>img/</strong>: Folder containing all the images presented to the users. This folder contains 28807 images for Google and 17325 images for IGN. <strong>mask/</strong>: Folder containing all segmentations masks generated from the polygon annotations of the users. This folder contains 13303 masks for Google and 7686 masks for IGN. <strong>metadata.csv</strong> The <code>.csv</code> file with the characteristics of the installations. <strong>Remark</strong>. We extracted the thumbnails contained in the <strong>google</strong> folder using Google Earth API.
DOI: 10.34740/kaggle/dsv/4583857
title: Terrorist Attacks around the World (1979-2019)
DOI: 10.34740/kaggle/ds/2673307
title: Terrorist Attacks around the World (1979-2019)
DOI: 10.6084/m9.figshare.21285418
title: A glimpse in post-COVID pathophysiology: the role of exhaled breath condensate pH as an early marker of residual alveolar inflammation

description: Residual alveolar inflammation seems to be paramount in post-COVID pathophysiology. Currently, we still lack a reliable marker to detect and track alveolar phlogosis in these patients. Exhaled Breath Condensate (EBC) pH has robust evidences highlighting its correlation with lung phlogosis in various diseases. We aim to define the reliability of alveolar and bronchial EBC pH in the assessment and in the follow up of post-COVID-related inflammation. We enrolled 10 patients previously hospitalized due to COVID-19 pneumonia. We performed a complete follow-up after 3 months and 6 months from discharge. Each visit included routine blood tests, arterial blood gas analysis, 6-minute walking test, spirometry, diffusing capacity and body plethysmography. Finally, bronchial and alveolar EBC were collected at the end of each visit. Alveolar EBC pH was significantly lower than bronchial EBC pH at T1, alveolar EBC pH tended to be more acid after 3 months from hospital discharge compared to the same sample 6 months later. Serum inflammatory biomarkers showed no significant differences from T1 to T2. Alveolar EBC pH was positively correlated with neutrophil-lymphocyte ratio. Collecting EBC pH could help to understand pathophysiologic mechanism as well as monitoring alveolar inflammation in the post-COVID syndrome.
DOI: 10.6084/m9.figshare.21285418.v1
title: A glimpse in post-COVID pathophysiology: the role of exhaled breath condensate pH as an early marker of residual alveolar inflammation

description: Residual alveolar inflammation seems to be paramount in post-COVID pathophysiology. Currently, we still lack a reliable marker to detect and track alveolar phlogosis in these patients. Exhaled Breath Condensate (EBC) pH has robust evidences highlighting its correlation with lung phlogosis in various diseases. We aim to define the reliability of alveolar and bronchial EBC pH in the assessment and in the follow up of post-COVID-related inflammation. We enrolled 10 patients previously hospitalized due to COVID-19 pneumonia. We performed a complete follow-up after 3 months and 6 months from discharge. Each visit included routine blood tests, arterial blood gas analysis, 6-minute walking test, spirometry, diffusing capacity and body plethysmography. Finally, bronchial and alveolar EBC were collected at the end of each visit. Alveolar EBC pH was significantly lower than bronchial EBC pH at T1, alveolar EBC pH tended to be more acid after 3 months from hospital discharge compared to the same sample 6 months later. Serum inflammatory biomarkers showed no significant differences from T1 to T2. Alveolar EBC pH was positively correlated with neutrophil-lymphocyte ratio. Collecting EBC pH could help to understand pathophysiologic mechanism as well as monitoring alveolar inflammation in the post-COVID syndrome.
DOI: 10.6084/m9.figshare.21621441
title: cpSSR.ssr.primer.xls

description: To investigate the chloroplast microsatellite and codon preference in <em>Thalictrum baicalense</em> Turcz. ex Ledeb., this study used MISA v1.0 and Primer3 software to analyze the chloroplast genome microsatellite and complete primer design, and CodonW 1.4.2 and CUSP online software were used to analyze the codon preference and causes. The results showed that 228 SSR loci were identified in the chloroplast genome of <em>Thalictrum baicalense</em> Turcz. ex Ledeb.. Most of these loci were found in large single copy regions (63.20%); four types were present, with the highest number of mononucleotide repeat (57.32%) and the lowest number of tetraucleotide repeat (3.77%). The SSR lengths were distributed between 8-31 bp, and nine SSR were longer than 20 bp (3.95%), showing polymorphic potential. The average content (29.93%) of the third base (GC3) of the chloroplast genome of <em>Thalictrum baicalense</em> Turcz. ex Ledeb. was analyzed in relation to the relative usage of synonymous codons, both of which indicated a codon preference for A and U endings. The effective number of codon ranged from 35.66-55.55 with a mean value of 46.85 and weak codon bias. The 15 (GCA, GCU, AGA, CGU, UGU, GGU, AUU, UUA, UUG, UUC, CCU, AGU, ACC, ACU, GUA) codons that simultaneously met the conditions of RSCU&gt;1 (34) and ΔRSCU ≥ 0.08 (22) were identified as the optimal codons for the <em>Thalictrum baicalense</em> Turcz. ex Ledeb. chloroplast genome. In addition, neutrality plot, ENC-plot and PR2-plot analyses, all indicate that the preference of chloroplast genomic codons in <em>Thalictrum baicalense</em> Turcz. ex Ledeb. is influenced by various factors such as selection pressure and mutational pressure.
DOI: 10.6084/m9.figshare.21621441.v1
title: cpSSR.ssr.primer.xls

description: To investigate the chloroplast microsatellite and codon preference in <em>Thalictrum baicalense</em> Turcz. ex Ledeb., this study used MISA v1.0 and Primer3 software to analyze the chloroplast genome microsatellite and complete primer design, and CodonW 1.4.2 and CUSP online software were used to analyze the codon preference and causes. The results showed that 228 SSR loci were identified in the chloroplast genome of <em>Thalictrum baicalense</em> Turcz. ex Ledeb.. Most of these loci were found in large single copy regions (63.20%); four types were present, with the highest number of mononucleotide repeat (57.32%) and the lowest number of tetraucleotide repeat (3.77%). The SSR lengths were distributed between 8-31 bp, and nine SSR were longer than 20 bp (3.95%), showing polymorphic potential. The average content (29.93%) of the third base (GC3) of the chloroplast genome of <em>Thalictrum baicalense</em> Turcz. ex Ledeb. was analyzed in relation to the relative usage of synonymous codons, both of which indicated a codon preference for A and U endings. The effective number of codon ranged from 35.66-55.55 with a mean value of 46.85 and weak codon bias. The 15 (GCA, GCU, AGA, CGU, UGU, GGU, AUU, UUA, UUG, UUC, CCU, AGU, ACC, ACU, GUA) codons that simultaneously met the conditions of RSCU&gt;1 (34) and ΔRSCU ≥ 0.08 (22) were identified as the optimal codons for the <em>Thalictrum baicalense</em> Turcz. ex Ledeb. chloroplast genome. In addition, neutrality plot, ENC-plot and PR2-plot analyses, all indicate that the preference of chloroplast genomic codons in <em>Thalictrum baicalense</em> Turcz. ex Ledeb. is influenced by various factors such as selection pressure and mutational pressure.
DOI: 10.5519/qd.iyp6x6xd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (83 records)
DOI: 10.5519/qd.vpdvoyct
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (614 records)
DOI: 10.25934/pr00006479.4
title: Available IPD datapackage for study 'A Randomized, Multicenter, Double-Blind, Placebo-Controlled Phase II Study of the Efficacy and Safety of Trastuzumab Emtansine in Combination With Atezolizumab or Atezolizumab-Placebo in Patients With HER2-Positive Locally Advanced or Metastatic Breast Cancer Who Have Received Prior Trastuzumab and Taxane Based Therapy'

description: This Phase II, double-blind, randomized, placebo-controlled multicenter study will investigate the efficacy and safety of trastuzumab emtansine in combination with atezolizumab or atezolizumab-placebo in participants with HER2-positive locally advanced or metastatic BC who have received prior trastuzumab and taxane based therapy, either alone or in combination, and/or who have progressed within 6 months after completing adjuvant therapy.