cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/hg6p-7y81
title: Terrestrial Survey Images - 3D Interior Model - Gdansk Church Pw. Św. Wojciecha - NICON D5300

description: Dataset description: Raw images from photogrammetric survey. Object:  Kościół Rzymskokatolicki Pw. Św. WojciechaLocation: Gdansk, Pomerania, PolandDrone type: N/A (terrestrial images)Flight plan: Free plan (walk inside the object)Target Product: 3D Interior ModelDate: 02.04.2022Direct georeferencing: yesMetadata data: no/GPSGCP: NOGCP Quality: N/ACamera Name: Nicon D5300Model type: PerspectiveImage dimensions: 6000x4000 pixelsSensor size: 23.5 x 15.6 mmNumber of photos: 800Problems: Some images are blurred. Improperly set white balance.  Example photo Camera Position
DOI: 10.34808/xget-qy50
title: UAV Survey Images - DTM- Gdansk Church Pw. Św. Wojciecha - MP2

description: Dataset description: Raw images from photogrammetric survey. Object:  Kościół Rzymskokatolicki Pw. Św. WojciechaLocation: Gdansk, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: Double GridTarget Product: Digital Terrain ModelDate: 02.04.2022Direct georeferencing: yesMetadata data: yes/GPSGCP: YESGCP Quality: RTKCamera Name: Hasselblad L1D-20cModel type: PerspectiveImage dimensions: 5472x3078 pixelsSensor size:1'' Number of photos: 408 Example photo Camera Position GCP Location
DOI: 10.34808/t0th-nx02
title: UAV Survey Images - 3D Model - Gdansk Church Pw. Św. Wojciecha - MP2

description: Dataset description: Raw images from photogrammetric survey. Object:  Kościół Rzymskokatolicki Pw. Św. WojciechaLocation: Gdansk, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: Circle (Point Of Interest) + Free flightTarget Product: 3D ModelDate: 02.04.2022Direct georeferencing: yesMetadata data: yes/GPSGCP: YESGCP Quality: RTKCamera Name: Hasselblad L1D-20cModel type: PerspectiveImage dimensions: 5472x3078 pixelsSensor size:1'' Number of photos: 408 Example photo Camera Position GCP Location
DOI: 10.34808/81x9-kp92
title: UAV Survey Images - orthophotomap-  Gdansk University of Technology campus photogrametry test field- MP2

description: Dataset description: Raw images from photogrammetric survey. Object: The photogrametry test field within Gdansk University Of Technology CampusLocation: Gdansk, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: Single GridTarget Product: 3D ModelDate: 17.05.2022Direct georeferencing: yesMetadata data: yes/GPSGCP: YESGCP Quality: RTKCamera Name: DJI FC220Model type: PerspectiveImage dimensions: 5472x3648 pixelsSensor size: 1 ''Number of photos: 115 Example photo Camera positions
DOI: 10.34808/dp71-ht32
title: UAV Survey Images - orthophotomap-  Gdansk University of Technology campus photogrametry test field- MP1

description: Dataset description: Raw images from photogrammetric survey. Object: The photogrametry test field within Gdansk University Of Technology CampusLocation: Gdansk, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single GridTarget Product: 3D ModelDate: 17.05.2022Direct georeferencing: yesMetadata data: yes/GPSGCP: YESGCP Quality: RTKCamera Name: DJI FC220Model type: PerspectiveImage dimensions: 4000x3000 pixelsSensor size: 6.16 mmNumber of photos: 101Problems: Images are slightly out of focus - for research purposes.  Example photo Camera positions
DOI: 10.34808/ykv3-1g85
title: UAV Survey Images - orthophotomap - Gdynia Chwaszczyno - PH4 - AGL 50 m

description: Dataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Chwaszczyno district Location: Gdynia, Pomerania, PolandDrone type: DJI Phantom 4 ProFlight plan: Single GridTarget Product: OrthophotoDate: 11.07.2019Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description and position includedGCP Quality: GNSS RTKCamera Name: DJI FC6310Model type: PerspectiveImage dimensions: 5472x3648 pixelsSensor size: 1''Number of photos: 347 Example photo Camera positions GCP no 3. marked - example
DOI: 10.34808/6c4x-8197
title: UAV Survey Images - orthophotomap - Gdynia Chwaszczyno - MP1 - AGL 100 m

description: Dataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Chwaszczyno district Location: Gdynia, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single GridTarget Product: OrthophotoDate: 11.07.2019Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description and position includedGCP Quality: GNSS RTKCamera Name: DJI FC220Model type: PerspectiveImage dimensions: 4000x3000 pixelsSensor size: 6.16 mmNumber of photos:170 Example photo Camera positions GCP no 2. marked - example
DOI: 10.34808/5kf9-fr51
title: UAV Survey Images - orthophotomap - Gdynia Chwaszczyno - MP1 - AGL 50 m

description: Dataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Chwaszczyno district Location: Gdynia, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single GridTarget Product: OrthophotoDate: 11.07.2019Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description and position includedGCP Quality: GNSS RTKCamera Name: DJI FC220Model type: PerspectiveImage dimensions: 4000x3000 pixelsSensor size: 6.16 mmNumber of photos: 467 Example photo Camera positions GCP no 3. marked - example
DOI: 10.34808/n8y2-g131
title: UAV Survey Images - orthophotomap - Gdynia Container Terminal Night Time- MP2

description: Dataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Container Terminal - night artificial photosLocation: Gdynia, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: Single GridTarget Product: OrthophotoDate: 14.10.2020Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description and position includedGCP Quality: GNSS RTKCamera Name: Hasselblad L1D-20cModel type: PerspectiveImage dimensions: 5472x3648 pixelsSensor size: 1 ''Number of photos: 128 Example photo Camera positions GCPs Location
DOI: 10.34808/d423-1d76
title: UAV Survey Images - orthophotomap - Gdynia Container Terminal Day Light- MP2

description: Dataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Container Terminal - day light photosLocation: Gdynia, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: Single GridTarget Product: OrthophotoDate: 15.10.2020Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description and position includedGCP Quality: GNSS RTKCamera Name: Hasselblad L1D-20cModel type: PerspectiveImage dimensions: 5472x3648 pixelsSensor size: 1 ''Number of photos: 131 Example photo: Camera positions GCPs Location
DOI: 10.34808/k09z-kg12
title: UAV Survey Images - orthophotomap - Gdynia Container Terminal Night Time- MP1

description: Dataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Container Terminal - night artificial light photosLocation: Gdynia, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single Grid - free flightTarget Product: OrthophotoDate: 14.10.2020Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description and position includedGCP Quality: GNSS RTKCamera Name: DJI FC220Model type: PerspectiveImage dimensions: 4000x3000 pixelsSensor size: 6.16 mmNumber of photos: 140 Example photo Camera positions GCPs Location
DOI: 10.34808/1761-3531
title: UAV Survey Images - orthophotomap - Gdynia Container Terminal Day Light- MP1

description: Dataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Container Terminal - day light photosLocation: Gdynia, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single GridTarget Product: OrthophotoDate: 15.10.2020Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description and position includedGCP Quality: GNSS RTKCamera Name: DJI FC220Model type: PerspectiveImage dimensions: 4000x3000 pixelsSensor size: 6.16 mmNumber of photos: 129 Example photo Camera positions GCPs Location
DOI: 10.5281/zenodo.7499244
title: Greenland_ice_melange

description: Positions of Ice Mélange Weakening (IMW) fronts presented and analysed<br> in Wehrlé et al, 2023, stored here as shapefiles. See README.org in zip archive for details. Wehrlé, A., Lüthi, M. P., & Vieli, A. (2022). The control of<br> short-term ice mélange weakening episodes on calving activity at major<br> Greenland outlet glaciers. EGUsphere, 2022,<br> 1–25. doi:10.5194/egusphere-2022-805
DOI: 10.11583/dtu.21728168.v1
title: Data for "Continuous flow electrosynthesis of ammonia by nitrogen reduction and hydrogen oxidation"

description: Treated and raw data of <br> Electrochemistry Mass spectrometry XPS Theoretical calculations <br>
DOI: 10.11583/dtu.21728168
title: Data for "Continuous flow electrosynthesis of ammonia by nitrogen reduction and hydrogen oxidation"

description: Treated and raw data of <br> Electrochemistry Mass spectrometry XPS Theoretical calculations <br>
DOI: 10.5281/zenodo.7499200
title: Plassembler v 0.1.4 Database

description: Holds the Plassembler v 0.1.4 database - the mash sketches and metadata from PLSDB as of 11 February 2022 (https://ccb-microbe.cs.uni-saarland.de/plsdb/plasmids/download/).
DOI: 10.5281/zenodo.7499199
title: Plassembler v 0.1.4 Database

description: Holds the Plassembler v 0.1.4 database - the mash sketches and metadata from PLSDB as of 11 February 2022 (https://ccb-microbe.cs.uni-saarland.de/plsdb/plasmids/download/).
DOI: 10.6084/m9.figshare.21803373
title: Career perceptions during the COVID-19 pandemic among undergraduate medical students and interns in south India

description: SPSS spread sheet containing the research data,
DOI: 10.6084/m9.figshare.21803373.v1
title: Career perceptions during the COVID-19 pandemic among undergraduate medical students and interns in south India

description: SPSS spread sheet containing the research data,
DOI: 10.25919/eyqh-fa55
title: Parkes observations for project P1054 semester 2022OCTS_07

description: With this proposal we ask time to continue our timing follow-up campaign of pulsars discovered with the MeerKAT telescope. Eighteen sources have been discovered in targeted observations of Fermi unidentified point sources, six in the Small Magellanic Cloud, 54 in Globular Clusters and 66 in a survey of the Galactic plane. A large fraction of the new discoveries are recycled pulsars (including at least one double neutron star system and several 'spider' binaries), or young pulsars. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that is allowing us to successfully time these new sources, in the bright-end of TRAPUM discoveries. The UWL has also the unique advantage of allowing detailed studies of the eclipses of the so-called 'spider' pulsars, which make up about 1/3rd of the sources we aim at following-up with this project.
DOI: 10.6084/m9.figshare.21707888.v2
title: dipolar cycloaddition dataset

description: This dataset consists of 5271 reaction profiles computed in a high-throughput manner at B3LYP-D3(BJ)/def2-TZVP//B3LYP-D3(BJ)/def2-SVP level of theory with the help of autodE and Gaussian 16. Reaction IDs and SMILES, activation energies (G_act; in kcal/mol) and reaction energies (G_r; in kcal/mol) for each computed reaction profile are provided in CSV format (full_dataset.csv). XYZ-files for each reactant (both the original and stereo-constrained versions), TS and product species as well as a CSV file containing computed electronic energies and thermal corrections are available in a compressed archive file, full_dataset_profiles.tar.gz. <br> The files have been organized per reaction profile, identified through the reaction ID. Within each directory, reactant XYZ-files are of the form r#####.xyz, product XYZ-files are of the form p#####.xyz, and transition state XYZ-files are of the form TS_#####.xyz. If the reactant dipole conformer had to be corrected to enforce stereochemical compatibility, the latter XYZ-files are included under to form of r#####_alt.xyz. The energies for all of these species are summarized per directory in energies.csv. <br> Additionally, all the benchmarking data are made available in the benchmarking_data.tar.gz directory
DOI: 10.34740/kaggle/dsv/4799122
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7499271
title: BCP/Bio-MRSUT 2015. Bio-economic Multi-regional Supply-Use Tables.

description: BIOCLIMAPATHS is an AXIS-ERANET 2019 granted project, that aims to better understand the impacts of climate change in future societies that have adopted bioeconomy as a substantial pillar of their economies. The project’s main aim – and output – is to provide insights and recommendations for climate resilient and just bioeconomy transition paths for society and economy. The BIOCLIMAPATHS (BCP) consortium leverages on complementary expertise of research teams from Austria, Germany and Spain, developing an innovative, spatially explicit, modelling framework for risk assessments of bioeconomy transitions subject to climate extremes. The project’s main aim – and output – is to provide insights on climate resilient and just bioeconomy transition paths in society. A key tool to achieve this aim is the elaboration of a detailed multisectoral database with high disaggregation on bio-based sectors. For the elaboration of this database, called Bio-MRSUT (Bio-economic Multi-regional Supply-Use Tables) framework, we started from EXIOBASE (Stadler et al. 2018). From the EXIOBASE data to obtaining the series of multi-regional SUT monetary marks, some estimation is required. First, by adapting the initial tables from EXIOBASE to the sectoral structure proposed in BIOCLIMAPATHS. Subsequently, to complete the database with additional information on certain bioeconomy sectors (agriculture, livestock, and biofuels), the 2010 and 2015 BioSAMs (Mainar et al., 2021) carried out by the Joint Research Centre (JRC) of the European Commission have been used, building the pertinent extrapolations to complete the proposed time period. The result of these processes has given rise to multi-regional monetary SUT frameworks for the EU and its Member States with a very broad disaggregation of the bioeconomy sectors. These multiregional frameworks comprise, with reference to the year 2015, a total of 78 activities (44 of Bioeconomy) and 78 goods and services (44 of them bio-economics), for the 28 EU countries (including the United Kingdom) and the Rest of the World, (as well as the interrelationships and bilateral exchanges between all these territories). In addition, they contain the breakdown of final demand and added value, as well as taxes on activities and products and imports by origin (the resulting data matrix contains 4,529 rows and 4,669 columns).
description: {"references": ["Mainar-Causap\u00e9, A.; Philippidis, G.; Sanju\u00e1n-L\u00f3pez, A. (2021): \"Constructing an open access economy-wide database for bioeconomy impact assessment in the European Union member states\". Economic Systems Research, 33(2), pp. 133-156. doi: 10.1080/09535314.2020.1785848.", "Stadler, K. et al. (2018): \"EXIOBASE 3: Developing a Time Series of Detailed Environmentally Extended Multi-Regional Input-Output Tables\", Journal of Industrial Ecology, 22, 502-515, doi:10.1111/jiec.12715."]}
DOI: 10.5281/zenodo.7499270
title: BCP/Bio-MRSUT 2015. Bio-economic Multi-regional Supply-Use Tables.

description: BIOCLIMAPATHS is an AXIS-ERANET 2019 granted project, that aims to better understand the impacts of climate change in future societies that have adopted bioeconomy as a substantial pillar of their economies. The project’s main aim – and output – is to provide insights and recommendations for climate resilient and just bioeconomy transition paths for society and economy. The BIOCLIMAPATHS (BCP) consortium leverages on complementary expertise of research teams from Austria, Germany and Spain, developing an innovative, spatially explicit, modelling framework for risk assessments of bioeconomy transitions subject to climate extremes. The project’s main aim – and output – is to provide insights on climate resilient and just bioeconomy transition paths in society. A key tool to achieve this aim is the elaboration of a detailed multisectoral database with high disaggregation on bio-based sectors. For the elaboration of this database, called Bio-MRSUT (Bio-economic Multi-regional Supply-Use Tables) framework, we started from EXIOBASE (Stadler et al. 2018). From the EXIOBASE data to obtaining the series of multi-regional SUT monetary marks, some estimation is required. First, by adapting the initial tables from EXIOBASE to the sectoral structure proposed in BIOCLIMAPATHS. Subsequently, to complete the database with additional information on certain bioeconomy sectors (agriculture, livestock, and biofuels), the 2010 and 2015 BioSAMs (Mainar et al., 2021) carried out by the Joint Research Centre (JRC) of the European Commission have been used, building the pertinent extrapolations to complete the proposed time period. The result of these processes has given rise to multi-regional monetary SUT frameworks for the EU and its Member States with a very broad disaggregation of the bioeconomy sectors. These multiregional frameworks comprise, with reference to the year 2015, a total of 78 activities (44 of Bioeconomy) and 78 goods and services (44 of them bio-economics), for the 28 EU countries (including the United Kingdom) and the Rest of the World, (as well as the interrelationships and bilateral exchanges between all these territories). In addition, they contain the breakdown of final demand and added value, as well as taxes on activities and products and imports by origin (the resulting data matrix contains 4,529 rows and 4,669 columns).
description: {"references": ["Mainar-Causap\u00e9, A.; Philippidis, G.; Sanju\u00e1n-L\u00f3pez, A. (2021): \"Constructing an open access economy-wide database for bioeconomy impact assessment in the European Union member states\". Economic Systems Research, 33(2), pp. 133-156. doi: 10.1080/09535314.2020.1785848.", "Stadler, K. et al. (2018): \"EXIOBASE 3: Developing a Time Series of Detailed Environmentally Extended Multi-Regional Input-Output Tables\", Journal of Industrial Ecology, 22, 502-515, doi:10.1111/jiec.12715."]}
DOI: 10.57770/frvdsm
title: Roles of mitochondrial sirtuins in mitochondrial function, redox homeostasis, insulin resistance and type 2 diabetes.

description: Mitochondria are the metabolic hubs that process a number of reactions including tricarboxylic acid cycle, β-oxidation of fatty acids and part of the urea cycle and pyrimidine nucleotide biosynthesis. Mitochondrial dysfunction impairs redox homeostasis and metabolic adaptation, leading to aging and metabolic disorders like insulin resistance and type 2 diabetes. SIRT3, SIRT4 and SIRT5 belong to the sirtuin family proteins and are located at mitochondria and also known as mitochondrial sirtuins. They catalyze NAD+-dependent deacylation (deacetylation, demalonylation and desuccinylation) and ADP-ribosylation and modulate the function of mitochondrial targets to regulate the metabolic status in mammalian cells. Emerging evidence has revealed that mitochondrial sirtuins coordinate the regulation of gene expression and activities of a wide spectrum of enzymes to orchestrate oxidative metabolism and stress responses. Mitochondrial sirtuins act in synergistic or antagonistic manners to promote respiratory function, antioxidant defense, insulin response and adipogenesis to protect individuals from aging and aging-related metabolic abnormalities. In this review, we focus on the molecular mechanisms by which mitochondrial sirtuins regulate oxidative metabolism and antioxidant defense and discuss the roles of their deficiency in the impairment of mitochondrial function and pathogenesis of insulin resistance and type 2 diabetes.2
DOI: 10.57770/2r0mva
title: Role of mitochondrial DNA copy number alteration in nonsmall cell lung cancer

description: Background: Mitochondrial dysfunction may involve in the progression of human non-small cell lung cancers (NSCLCs). We analyzed the mitochondrial DNA (mtDNA) copy number, the expression levels of mitochondrial biogenesis-related proteins including pyruvate dehydrogenase, mitochondrial transcription factor A (TFAM) and mtDNA-encoded peptide NADH dehydrogenase subunit 1 (ND1), and the expression level of hexokinase II (HK-II) in human NSCLCs both ex vivo and in vitro. Materials and Methods: Paired cancerous and non-cancerous pathological specimens from 20 resected NSCLCs and an NSCLC cell line, the H23, were used in this study. H23 was infected by lentiviral particles to knockdown (KD) the expression of TFAM. TFAM-Null and TFAM-KD represent the control and TFAM knocked-down H23 cells, respectively. The mtDNA copy number was measured by quantitative real-time polymerase chain reaction and the protein expression levels were measured by immunohistochemical staining and Western blotting, respectively. Results: Low TFAM expression (P = 0.066) and low mtDNA copy number of NSCLCs (P = 0.009) were poor prognostic variables in NSCLC patients. Advanced T4 NSCLCs had lower TFAM expression (P = 0.021), lower expression of mtDNA-encoded ND1 polypeptide (P = 0.049), and lower mtDNA copy number(P = 0.050) than did T1 or T2/T3 NSCLCs, respectively. TFAM-KD cells expressed lower levels of TFAM protein (P &lt; 0.005), ND1 polypeptide (P &lt; 0.005) and mtDNA copy number(P = 0.003), but higher level of vimentin protein (P = 0.045) and higher transwell migration activity (P = 0.003) than did TFAM-Null cells. Conclusion: Mitochondrial dysfunction caused by lower levels of TFAM, mtDNA copy number, and mtDNA-encoded ND1 polypeptide may play an important role in the progression of NSCLCs.
DOI: 10.57770/726fnw
title: Lactic acid fermentation is required for NLRP3 inflammasome activation. Frontiers in Immunology

description: Activation of the Nod-like receptor 3 (NLRP3) inflammasome is important for activation of innate immune responses, but improper and excessive activation can cause inflammatory disease. We previously showed that glycolysis, a metabolic pathway that converts glucose into pyruvate, is essential for NLRP3 inflammasome activation in macrophages. Here, we investigated the role of metabolic pathways downstream glycolysis – lactic acid fermentation and pyruvate oxidation—in activation of the NLRP3 inflammasome. Using pharmacological or genetic approaches, we show that decreasing lactic acid fermentation by inhibiting lactate dehydrogenase reduced caspase-1 activation and IL-1β maturation in response to various NLRP3 inflammasome agonists such as nigericin, ATP, monosodium urate (MSU) crystals, or alum, indicating that lactic acid fermentation is required for NLRP3 inflammasome activation. Inhibition of lactate dehydrogenase with GSK2837808A reduced lactate production and activity of the NLRP3 inflammasome regulator, phosphorylated protein kinase R (PKR), but did not reduce the common trigger of NLRP3 inflammasome, potassium efflux, or reactive oxygen species (ROS) production. By contrast, decreasing the activity of pyruvate oxidation by depletion of either mitochondrial pyruvate carrier 2 (MPC2) or pyruvate dehydrogenase E1 subunit alpha 1 (PDHA1) enhanced NLRP3 inflammasome activation, suggesting that inhibition of mitochondrial pyruvate transport enhanced lactic acid fermentation. Moreover, treatment with GSK2837808A reduced MSU-mediated peritonitis in mice, a disease model used for studying the consequences of NLRP3 inflammasome activation. Our results suggest that lactic acid fermentation is important for NLRP3 inflammasome activation, while pyruvate oxidation is not. Thus, reprograming pyruvate metabolism in mitochondria and in the cytoplasm should be considered as a novel strategy for the treatment of NLRP3 inflammasome-associated diseases.