cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7499020
title: Dataset related to article "Antigen Reactivity and Clinical Significance of Autoantibodies Directed Against the Pyruvate Dehydrogenase Antigen Complex in Patients With Connective Tissue Disease "

description: This record contains raw data related to article "Antigen Reactivity and Clinical Significance of Autoantibodies Directed Against the Pyruvate Dehydrogenase Antigen Complex in Patients With Connective Tissue Disease " <strong>Introduction: </strong> Antimitochondrial antibodies (AMAs) are the hallmark of primary biliary cholangitis (PBC) but can be identified also in patients with connective tissue disease, namely, systemic sclerosis (SSc). Protein immunoprecipitation (IP) and IP-Western blot (WB) can be used to confirm AMA positivity directed at the pyruvate dehydrogenase complex (PDC) subunits E1α, E1β, E2/E3, and E3BP in patients showing a cytoplasmic reticular pattern at indirect immunofluorescence when performed in a screening setting before the onset of overt cholestasis in rheumatic patients. <strong>Patients and methods: </strong> We studied sera from 285 patients affected by connective tissue disease [SSc, n = 144; dermato/polymyositis (DM/PM), n = 56; and undifferentiated connective tissue disease (UCTD), n = 85] by indirect immunofluorescence (IIF), protein-IP, and IP-WB to identify specific PDC subunits recognized by AMA. <strong>Results: </strong> Twenty percent (57/285) of sera from patients with connective tissue disease had a cytoplasmic reticular pattern at IIF, and in 77% (44/57, including 20 SSc, 12 PM/DM, and 12 UCTD) of these, we detected different titers of autoantibodies against the PDC subunits, specifically against PDC-E2. Among these sera, 4 (9%) tested positive for anti-E1α, 15 (34%) for anti-E1β, and 16 (36%) for anti-E3BP. Four of the 20 AMA-positive SSc cases (20%) had been already diagnosed with PBC, and all were positive for autoantibodies against the subunits PDC-E2, E3, and E3BP. <strong>Conclusions: </strong> Using IIF and IP, we confirm that autoantibodies against the PDC components are detected in rheumatic patients with PBC or without liver dysfunction. In view of the strong predictive value of AMA for PBC, a strict follow-up of these latter patients is warranted for an early diagnosis of the disease
DOI: 10.5281/zenodo.7499019
title: Dataset related to article "Antigen Reactivity and Clinical Significance of Autoantibodies Directed Against the Pyruvate Dehydrogenase Antigen Complex in Patients With Connective Tissue Disease "

description: This record contains raw data related to article "Antigen Reactivity and Clinical Significance of Autoantibodies Directed Against the Pyruvate Dehydrogenase Antigen Complex in Patients With Connective Tissue Disease " <strong>Introduction: </strong> Antimitochondrial antibodies (AMAs) are the hallmark of primary biliary cholangitis (PBC) but can be identified also in patients with connective tissue disease, namely, systemic sclerosis (SSc). Protein immunoprecipitation (IP) and IP-Western blot (WB) can be used to confirm AMA positivity directed at the pyruvate dehydrogenase complex (PDC) subunits E1α, E1β, E2/E3, and E3BP in patients showing a cytoplasmic reticular pattern at indirect immunofluorescence when performed in a screening setting before the onset of overt cholestasis in rheumatic patients. <strong>Patients and methods: </strong> We studied sera from 285 patients affected by connective tissue disease [SSc, n = 144; dermato/polymyositis (DM/PM), n = 56; and undifferentiated connective tissue disease (UCTD), n = 85] by indirect immunofluorescence (IIF), protein-IP, and IP-WB to identify specific PDC subunits recognized by AMA. <strong>Results: </strong> Twenty percent (57/285) of sera from patients with connective tissue disease had a cytoplasmic reticular pattern at IIF, and in 77% (44/57, including 20 SSc, 12 PM/DM, and 12 UCTD) of these, we detected different titers of autoantibodies against the PDC subunits, specifically against PDC-E2. Among these sera, 4 (9%) tested positive for anti-E1α, 15 (34%) for anti-E1β, and 16 (36%) for anti-E3BP. Four of the 20 AMA-positive SSc cases (20%) had been already diagnosed with PBC, and all were positive for autoantibodies against the subunits PDC-E2, E3, and E3BP. <strong>Conclusions: </strong> Using IIF and IP, we confirm that autoantibodies against the PDC components are detected in rheumatic patients with PBC or without liver dysfunction. In view of the strong predictive value of AMA for PBC, a strict follow-up of these latter patients is warranted for an early diagnosis of the disease
DOI: 10.34808/k8wa-kh25
title: FTIR spectrum for biologically pre-treated lignocellulosic biomass

description: Dataset contains FTIR spectrum data for lignocellulosic biomass obtained during the biological pretreatment period with the application of wild red, white and brown Rot Fungi.
DOI: 10.34808/v9t7-e576
title: Results of nanoindentation, XRD and microscopic studies of bacterial cellulose

description: The archive contains the results of research on BNC bacterial biocellulose, which was modified in two ways. When BNC was synthesized, it was subjected to in situ modification involving the addition of hyuloronic acid to the bacterial medium. The second way of ex situ modification consisted of soaking the BNC in water and then convectionally drying it at 25 C and 105 C and also freeze-drying it. XRD, nanoindentation and also Raman spectra were performed, and pore distribution and size were determined. The relationship between the structure of modified and unmodified BNC and its mechanical properties was demonstrated. The studies were performed in the context of BNC applications for cardiovascular implants.
DOI: 10.34808/106z-en13
title: Measurements of no-load and short-circuit parameters of power transformers with taps

description: 1)    The Laboratory LINTE^2 is a large research infrastructure operated by the Faculty of Electrical and Control Engineering at Gdańsk University of Technology, to be found in Gdańsk, Poland (54.3690 N, 18.6130 E).
2)    The measurements have been collected from five 3-phase low voltage power transformers that are installed in the research infrastructure of the laboratory. Nominal voltage ratio and power capacity of each power transformer are 400V/400V and 100 kVA, respectively.
3)    The tests of the transformers included no-load test and short-circuit test. Measurements allow to calculate technical parameters of the transformers.
4)    Raw measurements have been collected using a precision power analyzer ZES ZIMMER LMG671.
5)    The datasets (saved as individual *.csv files) are organized as follows:
Tap # – Tap number [-]
U1 – Primary-side voltage [V]
Io – No-load current [A]
Po – No-load active power [W]
Uz – Short-circuit voltage [V]
I1 – Primary-side current [A]
Pz – Short-circuit active power [W]
DOI: 10.6084/m9.figshare.21803295
title: Appendix_F on SCW.pdf

description: The appendix to the paper " The Structural Complexity of Chinese Words and Its Relationship with Word Frequency"
DOI: 10.6084/m9.figshare.21803295.v1
title: Appendix_F on SCW.pdf

description: The appendix to the paper " The Structural Complexity of Chinese Words and Its Relationship with Word Frequency"
DOI: 10.34740/kaggle/dsv/4798885
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.21802941
title: Changes in Physical Activity and Sedentary Behavior Before and During the COVID-19 Pandemic: A Swedish Repeated Cross-sectional Design Study

description: Cross-sectional population-based study based on self-reported questionnaires for participants aged 18–79 years, recruited through a survey management service, including 50,000 potential participants. It was a population-based stratified sample, based on sex, age, and regions in Sweden. The<strong> first</strong> survey was emailed to 2,000 persons on December, 2020. The survey was anonymously completed by 1,035 participants (52%). <strong>In addition</strong>, in the 2020 survey, the participants were asked to retrospectively self-report the same items about PA and SB during a normal week in December 2019, which was one year before the current time as well as three months before the WHO declared a worldwide COVID-19 pandemic. Data from 2019 and 2020 have been published by Elvén et al. 2022. The second survey was answered by 1,095 participants in January, 2022. <br> All participants provided their informed consent to take part in the survey, by answering the web-based questionnaire. The study was conducted according to the Helsinki Declaration and Swedish law. All personal data connections were deleted after the material was collected and were not accessible to the researchers in the present study. <br> Analyses Data were analyzed with descriptive statistics, using frequencies and percentages for categorical variables and means and standard deviations (SD) for continuous variables. To investigate the changes in PA and SB, a <em>t</em> test and ANOVA and Mann–Whitney <em>U</em> test, Kruskal–Wallis with Scheffe post hoc test, and Spearman’s rho were used to avoid scaling artifacts. The outliers in PA were adjusted by a maximum of 70 hours per week. Line bars illustrated visual changes in PA and SB concerning sex and age. We tested the independent variables sex, age, occupation, life satisfaction, COVID-19 history, health, weight change, and time, and their interactions in relation to the dependent variables PA and SB with univariate analysis of variance. The observed power in the analyses for total PA was above 0.501 and the observed power in the univariate analyses of SB was above 0.607. As the distributions of the dependent variable PA were skewed, interactions for nonparametric tests based on aligned ranks were applied. All tests were two-tailed, and the statistical significance was set at <em>p</em> £ 0.05. All analyses were conducted using IBM SPSS Statistics (Version 28.0; IBM SPSS, Armonk, NY, USA).
DOI: 10.6084/m9.figshare.21802941.v1
title: Changes in Physical Activity and Sedentary Behavior Before and During the COVID-19 Pandemic: A Swedish Repeated Cross-sectional Design Study

description: Cross-sectional population-based study based on self-reported questionnaires for participants aged 18–79 years, recruited through a survey management service, including 50,000 potential participants. It was a population-based stratified sample, based on sex, age, and regions in Sweden. The<strong> first</strong> survey was emailed to 2,000 persons on December, 2020. The survey was anonymously completed by 1,035 participants (52%). <strong>In addition</strong>, in the 2020 survey, the participants were asked to retrospectively self-report the same items about PA and SB during a normal week in December 2019, which was one year before the current time as well as three months before the WHO declared a worldwide COVID-19 pandemic. Data from 2019 and 2020 have been published by Elvén et al. 2022. The second survey was answered by 1,095 participants in January, 2022. <br> All participants provided their informed consent to take part in the survey, by answering the web-based questionnaire. The study was conducted according to the Helsinki Declaration and Swedish law. All personal data connections were deleted after the material was collected and were not accessible to the researchers in the present study. <br> Analyses Data were analyzed with descriptive statistics, using frequencies and percentages for categorical variables and means and standard deviations (SD) for continuous variables. To investigate the changes in PA and SB, a <em>t</em> test and ANOVA and Mann–Whitney <em>U</em> test, Kruskal–Wallis with Scheffe post hoc test, and Spearman’s rho were used to avoid scaling artifacts. The outliers in PA were adjusted by a maximum of 70 hours per week. Line bars illustrated visual changes in PA and SB concerning sex and age. We tested the independent variables sex, age, occupation, life satisfaction, COVID-19 history, health, weight change, and time, and their interactions in relation to the dependent variables PA and SB with univariate analysis of variance. The observed power in the analyses for total PA was above 0.501 and the observed power in the univariate analyses of SB was above 0.607. As the distributions of the dependent variable PA were skewed, interactions for nonparametric tests based on aligned ranks were applied. All tests were two-tailed, and the statistical significance was set at <em>p</em> £ 0.05. All analyses were conducted using IBM SPSS Statistics (Version 28.0; IBM SPSS, Armonk, NY, USA).
DOI: 10.34740/kaggle/dsv/4798958
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.7497684
title: Posterior regeneration in the sea spider Pycnogonum litorale (Arthropoda, Pycnogonida)

description: <em>Pycnogonum litorale</em>; micro-computed X-ray tomography raw data (3D tiff file format) of specimens subjected to varying degrees of posterior amputation and individually monitored following the surgery.
DOI: 10.5281/zenodo.7497683
title: Posterior regeneration in the sea spider Pycnogonum litorale (Arthropoda, Pycnogonida)

description: <em>Pycnogonum litorale</em>; micro-computed X-ray tomography raw data (3D tiff file format) of specimens subjected to varying degrees of posterior amputation and individually monitored following the surgery.
DOI: 10.34808/msxy-ts14
title: Terrestrial Laser Scan and Survey Images - 3D Model - Palm House  - MP1 - Leica

description: Dataset description: Raw images from photogrammetric and terresttial laser scaning survey. Object:  Palm House in Gdansk Oliwa ParkLocation: Gdansk, Pomorskie, PolandDrone type: DJI Mavic Pro 1Flight plan: Circle | Point Of InterestTarget Product: 3D ModelDate: 06.11.2018Direct georeferencing: yesMetadata data: Yes/GPSGCP: NoCamera Name: DJI FC220Lasser type:  LeicaModel type: PerspectiveImage dimensions: 4000x3000 pixelsSensor size: 6.16 mmNumber of photos: + Group 1 - whole object and top parts: 635+ Group 2 -  top parts: 547Number of points in Point Cloud: 203 680 397 Example photo Example Photo Camera position Group 1 Camera position Group 2 TLS
DOI: 10.34808/fzs4-wt88
title: Terrestrial Laser Scan and Survey Images - 3D Model - Simulated Car Accident  - MP1 - Reigl

description: Dataset description: Raw images from photogrammetric and terresttial laser scaning survey. Object:  Simulated Car AccidentLocation: Puck Pomorskie, PolandDrone type: DJI Mavic Pro 1Flight plan: Circle | Point Of InterestTarget Product: 3D ModelDate: 07.07.2017Direct georeferencing: yesMetadata data: Yes/GPSGCP: Yes - some targets on the object are marked and measured by RTK GNSSCamera Name: DJI FC220Lasser type:  Riegl VZ-400Model type: PerspectiveImage dimensions: 4000x3000 pixelsSensor size: 6.16 mmNumber of photos: 113Number of points in Point Cloud: 9 651 673 Example photo TLS Camera position
DOI: 10.34808/qgg1-g084
title: UAV Survey Images - DEM - Garbage Dump - MP1

description: Dataset description: Raw images from photogrammetric survey. Object: A garbage dump near by Wladyslawowo cityLocation: Wladyslawowo, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single GridTarget Product: DEMDate: 14.03.2020Direct 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: 224 Example photo Camera position and overlap Camera location GCP - signalised
DOI: 10.34808/0rjq-jd92
title: UAV Survey Images - orthophotomap - Klodno Lake Zawory Bay - MP1

description: Dataset description: Raw images from photogrammetric survey. Object: Klodno Lake shore lineLocation: Zawory, Kartuskie District, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single Grid + Obligue imagesTarget Product: OrthophotoDate: 11.08.2019Direct 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: 138 Example photo Camera position and overlap
DOI: 10.34808/kcyj-fw86
title: Individual investors willingnes to invest in ESG in Poland survey results

description: This dataset encompasses Polish citizens, including those being retail investors, attitude toward climate change and ESG investment. Dataset of two waves of the omnibus survey which provides representative database for Poland for  February 2021. A specialized polling institute, was subcontracted to conduct the survey using Computer-Assisted Web Interviewing (CAWI). Surveys were conducted twice, week after week, with randomly selected nationally representative samples of people aged 16 and over. First sample consisted of N=1215 respondents (649 women and 566 men) and the second sample of N=1201 respondents (different than in previous survey, 650 women and 551 men). As an Internet Panel, the survey included weights based on gender, age, income group and educational quotas. The survey consisted of 5 questions, survey questionnaire is added.
DOI: 10.34808/6vk4-dq67
title: UAV Survey Images - orthophotomap - Oslonino Shore Line - MP1

description: Dataset description: Raw images from photogrammetric survey. Object: Oslonino (sea) shore lineLocation: Oslonino, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single Grid @ AGL 50m and Single Grid @AGL  100mTarget Product: OrthophotoDate: 02.08.2018Direct georeferencing: yesMetadata data: yes/GPSGCP: noGCP Quality: N/aCamera Name: DJI FC220Model type: PerspectiveImage dimensions: 4000x3000 pixelsSensor size: 6.16 mmNumber of photos: 576 + 195 Example photo Camera position and overlap Camera position
DOI: 10.34808/a0v3-zc58
title: UAV Survey Images - orthophotomap - Klodno Lake - MP1

description: Dataset description: Raw images from photogrammetric survey. Object: Klodno Lake shore lineLocation: Zawory, Kartuskie District, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single Grid + Obligue imagesTarget Product: OrthophotoDate: 05.08.2018Direct 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: 438 + 198 Example photo Camera position and overlap GCP position
DOI: 10.34808/dp71-0966
title: Terrestrial Laser Scan and Survey Images - 3D Model - Submarine Kobben - Canon - Reigl

description: Dataset description: Raw images from photogrammetric and terresttial laser scaning survey. Object: Submarine Kobben - decomisionedLocation: Gdynia, Pomorskie, PolandDrone type: n/a (Teresstrial images)Flight plan: Free - walk arround the objectTarget Product: 3D ModelDate: 05.07.2017Direct georeferencing: noMetadata data: NoGCP: N0 - some targets on the object are markedCamera Name: Canon EOS 500DLasser type:  Riegl VZ-400Model type: PerspectiveImage dimensions: 5187x3456 pixelsSensor size: 22.3 x 14.9 mmNumber of photos: 361Number of points in Point Cloud: 1 647 788 Example photo TLS Camera position Points marked
DOI: 10.34808/66g3-qw52
title: Terrestrial Survey Images - 3D Exterior Model - Zukowo Church - Canon

description: Dataset description: Raw images from photogrammetric survey. Object: Parafia Wniebowzięcia Najświętszej Maryi Panny w ŻukowieLocation: Żukowo, Pomorskie, Kartuski County, PolandDrone type: n/a (Teresstrial images)Flight plan: CircleTarget Product: 3D ModelDate: 21.04.2018Direct georeferencing: yesMetadata data: NoGCP: NoCamera Name: Canon EOS 500DModel type: PerspectiveImage dimensions: 5187x3456 pixelsSensor size: 22.3 x 14.9 mmNumber of photos: 3 groups of photos containing:1. 18 mm lens: 4542. 55 mm lens:  1943. Detailed cracks photos for documentation: 113 Example photo:
DOI: 10.34808/02s6-cv80
title: UAV Survey Images - orthophotomap - Gdynia Chwaszczyno - PH4 - 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 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/mv34-y828
title: UAV Survey Images - 3D Model -  Jastrzebia Gora Cliff 11.2017- MP1

description: Dataset description: Raw images from photogrammetric survey. Object: Cliff in Jastrzebioa GoraLocation: Jastrzebia Gora, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single Grid/Free FlightTarget Product: 3D ModelDate: 05.11.2017Direct georeferencing: yesMetadata data: yes/GPSGCP: NOGCP Quality: N/ACamera Name: DJI FC220Model type: PerspectiveImage dimensions: 4000x3000 pixelsSensor size: 6.16 mmNumber of photos: 563 Example photo Camera positions
DOI: 10.34808/44z1-h027
title: Terrestrial Survey Images - Multispectral Exterior Model - Gdansk Church Pw. Św. Wojciecha - Micasense Dual

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 - walk around the object with camera. 3 images taken at the point.Target Product: 3D Model - Multispectral ModelDate: 24.04.2022Direct georeferencing: yesMetadata data: yes/GPSGCP: NOGCP Quality: N/ACamera Name: Micasense Dual - RedEdge-MX, RedEdge-MX BlueModel type: Perspective - Multispectral 10 BandsImage dimensions: 1280 x 960 pixelsSpectral Bands:  Coastal blue 444(28)*, blue 475(32), green 531(14)*, green 560(27), red 650(16)*, red 668(14), red edge 705(10)*, red edge 717(12), red edge 740(18)*, NIR 842(57) -- * RedEdge-MX BlueSensor size: 4.8 mm x 3.6 mmNumber of photos: 5190 / 10 bands Example photo Camera Position
DOI: 10.34808/38jt-2226
title: UAV Survey Images - 3D Model -  Jastrzebia Gora Cliff 07.2017- MP1

description: Dataset description: Raw images from photogrammetric survey. Object: Cliff in Jastrzebioa GoraLocation: Jastrzebia Gora, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single Grid/Free FlightTarget Product: 3D ModelDate: 06.07.2017Direct georeferencing: yesMetadata data: yes/GPSGCP: NOGCP Quality: N/ACamera Name: DJI FC220Model type: PerspectiveImage dimensions: 4000x3000 pixelsSensor size: 6.16 mmNumber of photos: 305 Example photo Camera positions
DOI: 10.34808/xk1e-nb32
title: UAV Survey Images - DTM - Sopot Tombolo (Salient) Measurement - MP2

description: Dataset description: Raw images from photogrammetric survey. Object:  littoral zone in SopotLocation: Sopot, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: Single GridTarget Product: Digital Terrain ModelDate: 23.11.2019Direct georeferencing: yesMetadata data: yes/GPSGCP: YESGCP Quality: RTKCamera Name: Hasselblad L1D-20cModel type: PerspectiveImage dimensions: 5472x3078 pixelsSensor size:1'' Number of photos: 462 Example photo Camera Position GCP Location
DOI: 10.34808/13sg-nd51
title: Terrestrial Survey Images - 3D Exterior 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 - walk around the object with camera. 3 images taken at the point.Target Product: 3D ModelDate: 02.04.2022Direct georeferencing: yesMetadata data: yes/GPSGCP: YESGCP Quality: RTKCamera Name: Nicon D5300Model type: PerspectiveImage dimensions: 6000x4000 pixelsSensor size: 23.5 x 15.6 mmNumber of photos: 632 Example photo Camera Position GCP Location