cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6786918
title: Real-time oceanography captured by autonomous sailbuoy in Lofoten/Vesterålen 2018

description: Real-time oceanography from sailbuoy Echo's long-endurance data acquisition campaign for the Glider project. The study area ranged from 66–71N and 8–19E, focusing on the coastal shelf area surrounding the Lofoten and Vesterålen islands, Norway, from March to August 2018. The dataset contains 4684 oceanography data points, and ~10000 auxiliary data points, spread over a period of 154 days. <strong>Oceanography variables</strong> GPS <code>Time</code> UTC <code>Lat</code> latitude WGS84 <code>Long</code> longitude WGS84 Conductivity and temperature, from NBOSI CT sensors <code>CTTemp</code> Sea surface temperature <code>°C</code> <code>CTCond</code> Sea water conductivity <code>mS/cm</code> From Aanderaa Oxygen Optode 4831 <code>O2Con</code> Oxygen O₂ concentration <code>µM</code> <code>O2Air</code> Oxygen O₂ air saturation <code>%</code> <code>O2Temp</code> Oxygen O₂ water temperature <code>°C</code> The data is published as 2 TSV files from iridium real-time messages that were received, parsed, and exported from Offshore Sensing's portal. For more information on the Akvaplan-niva-led Glider project, including its partners, technology, and results, see Camus et al.:<br> Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project. Sensors 2021, 21, 6752. https://doi.org/10.3390/s21206752 In 2022, Akvaplan-niva starts publishing the complete set of data from Glider (phase I) on their research archive on Zenodo.
description: {"references": ["Camus, Lionel, Hector Andrade, Ana S. Aniceto, Magnus Aune, Kanchana Bandara, S\u00fcnnje L. Basedow, Kai H. Christensen, Jeremy Cook, Malin Daase, Katherine Dunlop, Stig Falk-Petersen, Peer Fietzek, Gro Fonnes, Peygham Ghaffari, Geir Gramvik, Inger Graves, Daniel Hayes, Tor Langeland, Harald Lura, Trond Kristiansen, Ole A. N\u00f8st, David Peddie, Joel Pederick, Geir Pedersen, Ann K. Sperrevik, Kai S\u00f8rensen, Luca Tassara, Sigurd Tj\u00f8stheim, Vigdis Tverberg, and Salve Dahle. 2021. \"Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic\u2014The Glider Project\" Sensors 21, no. 20: 6752. https://doi.org/10.3390/s21206752"]}
DOI: 10.5287/bodleian:5jbrx98bw
title: Correlation for Species Concentration on a Hypersonic Stagnation Point with Mass Injection - Dataset
DOI: 10.6084/m9.figshare.21601737
title: precipitation treatments dada in desert regions of China

description: Precipitation enhancement induced ecosystem stability in desert regions of China from 2011-2020. All data are annual mean values for each quadrat or observed plant in desert regions of China from 2011-2020, including precipitation treatments (PPT),soil water content (SWC), soil respiration (SR), net photosynthetic rate (Pn), sap flow (SF), species richness (SN), the Shannon–Wiener index (SW), and aboveground net primary productivity (ANPP) , evapotranspiration (ET), groundwater depth (GWD), net radiation (Rn),soil heat flux (G), sensible heat flux (H), latent heat flux (λET) dada.
DOI: 10.6084/m9.figshare.21601737.v1
title: precipitation treatments dada in desert regions of China

description: Precipitation enhancement induced ecosystem stability in desert regions of China from 2011-2020. All data are annual mean values for each quadrat or observed plant in desert regions of China from 2011-2020, including precipitation treatments (PPT),soil water content (SWC), soil respiration (SR), net photosynthetic rate (Pn), sap flow (SF), species richness (SN), the Shannon–Wiener index (SW), and aboveground net primary productivity (ANPP) , evapotranspiration (ET), groundwater depth (GWD), net radiation (Rn),soil heat flux (G), sensible heat flux (H), latent heat flux (λET) dada.
DOI: 10.18434/mds2-2796
title: Recommended Practices for Calibrated Millimeter-Wave Modulated-Signal Measurements
DOI: 10.6084/m9.figshare.21641369
title: 16 rDNA sequencing data for WT and UCP1 pigs under Chow diet condition

description: 16 rDNA sequencing data for WT and UCP1 pigs under Chow diet condition
DOI: 10.5525/gla.researchdata.1366
title: Measuring Optical Activity with Unpolarized Light: Ghost Polarimetry

description: The dataset used to generate the graphs in the paper 'Measuring Optical Activity with Unpolarized Light: Ghost Polarimetry'.
DOI: 10.5281/zenodo.6409151
title: TISPLALI

description: Project TISPLALI studied the use of drone-based thermal infrared imaging using known plastic targets deployed at sea. The published study can be found at: https://doi.org/10.3390/rs14133179.
description: Created via Ocean Scan.<br>Campaign ID: <b>ee6a58ca-af2c-4813-a7ba-f2a099544c9a</b>.
DOI: 10.5281/zenodo.6409150
title: TISPLALI

description: Project TISPLALI studied the use of drone-based thermal infrared imaging using known plastic targets deployed at sea. The published study can be found at: https://doi.org/10.3390/rs14133179.
description: Created via Ocean Scan.<br>Campaign ID: <b>ee6a58ca-af2c-4813-a7ba-f2a099544c9a</b>.
DOI: 10.5281/zenodo.7357866
title: Open Energy Tracker - Data Repository

description: This repository holds data used in the Open Energy Tracker.
DOI: 10.5281/zenodo.7357867
title: Open Energy Tracker - Data Repository

description: This repository holds data used in the Open Energy Tracker.
DOI: 10.5281/zenodo.7377683
title: DATASETS - Integration of Non-Destructive Acoustic Imaging investigation with Photogrammetric and Morphological Analysis to Study the "Graecia Vetus" in the Chigi Palace of Ariccia

description: Datasets of an integrated investigation on the monochrome painting "Graecia Vetus" located in the Ariosto Room in the historical Chigi Palace of Ariccia. Three datasets including: - <strong>Dense Cloud from the surface morphological investigation of the surface by Photogrammetric Survey:</strong> 1. Zip file containing the "*.obj", "*.mtl", "*.jpg" files to open the Model. <strong>- Four matrices from structural damage investigation of the painting by Frequency Resolved Acoustic Imaging:</strong> 1. Integrated Acoustic Image (IAI) in the wideband (500 - 12,000) Hz; 2. Frequency Resolved Acoustic Image (FRAI) in the narrow frequency band 1/3 octave band centred at 1000 Hz; 3. Frequency Resolved Acoustic Image (FRAI) in the narrow frequency band 1/3 octave band centred at 6300 Hz; 4. Frequency Resolved Acoustic Image (FRAI) in the narrow frequency band 1/3 octave band centred at 10,000 Hz. <strong>- One profile and one matrix from structural damage investigation of the wall by Sonic Tests with Impact Hammer:</strong> 1. Relative variation of pulse velocity along the horizontal axis; 2. Tomographic map of the relative variation of pulse velocity inside the wall
description: FUNDING: This research was funded by the Lazio Region under the Project ADAMO n. B86C18001220002 of the Excellence Centre at the Lazio Technological District for Cultural Heritage (DTC).
DOI: 10.5281/zenodo.7377682
title: DATASETS - Integration of Non-Destructive Acoustic Imaging investigation with Photogrammetric and Morphological Analysis to Study the "Graecia Vetus" in the Chigi Palace of Ariccia

description: Datasets of an integrated investigation on the monochrome painting "Graecia Vetus" located in the Ariosto Room in the historical Chigi Palace of Ariccia. Three datasets including: - <strong>Dense Cloud from the surface morphological investigation of the surface by Photogrammetric Survey:</strong> 1. Zip file containing the "*.obj", "*.mtl", "*.jpg" files to open the Model. <strong>- Four matrices from structural damage investigation of the painting by Frequency Resolved Acoustic Imaging:</strong> 1. Integrated Acoustic Image (IAI) in the wideband (500 - 12,000) Hz; 2. Frequency Resolved Acoustic Image (FRAI) in the narrow frequency band 1/3 octave band centred at 1000 Hz; 3. Frequency Resolved Acoustic Image (FRAI) in the narrow frequency band 1/3 octave band centred at 6300 Hz; 4. Frequency Resolved Acoustic Image (FRAI) in the narrow frequency band 1/3 octave band centred at 10,000 Hz. <strong>- One profile and one matrix from structural damage investigation of the wall by Sonic Tests with Impact Hammer:</strong> 1. Relative variation of pulse velocity along the horizontal axis; 2. Tomographic map of the relative variation of pulse velocity inside the wall
description: FUNDING: This research was funded by the Lazio Region under the Project ADAMO n. B86C18001220002 of the Excellence Centre at the Lazio Technological District for Cultural Heritage (DTC).
DOI: 10.5281/zenodo.7377723
title: caesar-mrcnn model weights

description: Weights files (.h5) of caesar-mrcnn source finder model at different training epochs (150, 250).
DOI: 10.5281/zenodo.7377722
title: caesar-mrcnn model weights

description: Weights files (.h5) of caesar-mrcnn source finder model at different training epochs (150, 250).
DOI: 10.18434/mds2-2689
title: Effects of Non-Sinusoidal Current Phase Relationships on Single Flux Quantum Circuits
DOI: 10.5287/bodleian:w4v0weyg2
title: Measuring the concentration of freestream species on a hypersonic transpiration-cooled stagnation point - Dataset
DOI: 10.6084/m9.figshare.20201976
title: Identification of risk factors for upper gastrointestinal bleeding in intensive care unit patients (GIBICU study)

description: Risk stratification for the need for therapeutic endoscopy and prediction of mortality in patients with upper gastrointestinal bleeding (UGIB) can be assessed by several scores. However, current scores are not validated for variceal bleeding and Intensive Care Unit (ICU) patients. The aim of this study was to evaluate potential parameters for the prediction of UGIB and patient outcomes. In this monocenter retrospective observational study, data from all esophagogastroduodenoscopies (EGD) between November 2014 and February 2020 with suspected hemorrhage in our ICU were evaluated. Out of 345 included EGD, 42.3% of UGIB was diagnosed. 51.9% needed endoscopic intervention. Overall, 52.3% of included patients with UGIB died. Logistic regression showed that preceding variceal or non-variceal UGIB (<i>p</i> &lt; .001), serum lactate (<i>p</i> = .001), heart rate (HR) (<i>p</i> = .005), and blood transfusions (<i>p</i> = .001) were significant predictors of UGIB. Previous UGIB (<i>p</i> &lt; .001), male sex (<i>p</i> = .015), known varices (<i>p</i> &lt; .001), serum albumin (<i>p</i> = .19) and use of catecholamines (<i>p</i> = .040) were significant predictors for the need of endoscopic intervention. Higher mortality was significantly associated with the usage of steroids (<i>p</i> &lt; .001), malignant preconditions (<i>p</i> = .021), serum albumin (<i>p</i> = .020) and prolonged PTT (partial thromboplastin time) (<i>p</i> = .001). We were able to identify additional parameters that had previously not been included in existing scores to predict the risk of UGIB, the need for therapeutic endoscopy and mortality in ICU patients. Therefore, an extension of these scores is necessary. Further validation of identified parameters in multicenter trials is needed to improve risk scores for ICU patients.
DOI: 10.6084/m9.figshare.20201976.v1
title: Identification of risk factors for upper gastrointestinal bleeding in intensive care unit patients (GIBICU study)

description: Risk stratification for the need for therapeutic endoscopy and prediction of mortality in patients with upper gastrointestinal bleeding (UGIB) can be assessed by several scores. However, current scores are not validated for variceal bleeding and Intensive Care Unit (ICU) patients. The aim of this study was to evaluate potential parameters for the prediction of UGIB and patient outcomes. In this monocenter retrospective observational study, data from all esophagogastroduodenoscopies (EGD) between November 2014 and February 2020 with suspected hemorrhage in our ICU were evaluated. Out of 345 included EGD, 42.3% of UGIB was diagnosed. 51.9% needed endoscopic intervention. Overall, 52.3% of included patients with UGIB died. Logistic regression showed that preceding variceal or non-variceal UGIB (<i>p</i> &lt; .001), serum lactate (<i>p</i> = .001), heart rate (HR) (<i>p</i> = .005), and blood transfusions (<i>p</i> = .001) were significant predictors of UGIB. Previous UGIB (<i>p</i> &lt; .001), male sex (<i>p</i> = .015), known varices (<i>p</i> &lt; .001), serum albumin (<i>p</i> = .19) and use of catecholamines (<i>p</i> = .040) were significant predictors for the need of endoscopic intervention. Higher mortality was significantly associated with the usage of steroids (<i>p</i> &lt; .001), malignant preconditions (<i>p</i> = .021), serum albumin (<i>p</i> = .020) and prolonged PTT (partial thromboplastin time) (<i>p</i> = .001). We were able to identify additional parameters that had previously not been included in existing scores to predict the risk of UGIB, the need for therapeutic endoscopy and mortality in ICU patients. Therefore, an extension of these scores is necessary. Further validation of identified parameters in multicenter trials is needed to improve risk scores for ICU patients.
DOI: 10.6084/m9.figshare.20224169
title: Imaging features of hepatobiliary MRI and the risk of hepatocellular carcinoma development

description: This study aimed to determine whether hepatocellular carcinoma (HCC) risk and time to HCC development differ according to hepatobiliary magnetic resonance imaging (MRI) findings among people at risk for developing HCC. A total of 199 patients aged 40 years or older with liver cirrhosis or chronic liver disease who underwent gadoxetic acid-enhanced hepatobiliary MRI between 2011 and 2015 were analyzed. An independent radiologist retrospectively reviewed MRI findings, blinded to clinical information, and categorized them into low-risk features, high-risk features and high-risk nodules. High-risk features were defined as liver cirrhosis diagnosed by imaging. High-risk nodules were defined as LR-3 or LR-4 nodules based on LI-RADS version 2018. The primary outcome was development of HCC within 5-year of MRI evaluation. HCC was diagnosed in 28 patients (14.1%). HCC development was null for those with low-risk features (<i>n</i> = 84). The cumulative incidence rates of HCC were 0%, 2.3%, 13.4% and 22.1% at 1-, 2-, 3- and 5-year for those with high-risk features (<i>n</i>= 64), and were 19.1%, 31.8%, 37.3% and 46.7% at 1-, 2-, 3- and 5-year for those with high-risk nodules (<i>n</i>= 51). Among 28 patients developed HCC, the median time from baseline MRI to HCC diagnosis was 33.1 months (interquartile range: 25.9–46.7 months) for high-risk feature group, and 17.3 months (interquartile range: 6.2–26.5 months) for high-risk nodule group. HCC risk and time to HCC development differ according to baseline hepatobiliary MRI findings, indicating that hepatobiliary MRI findings can be used as biomarkers to differentiate HCC risk.
DOI: 10.6084/m9.figshare.20224169.v1
title: Imaging features of hepatobiliary MRI and the risk of hepatocellular carcinoma development

description: This study aimed to determine whether hepatocellular carcinoma (HCC) risk and time to HCC development differ according to hepatobiliary magnetic resonance imaging (MRI) findings among people at risk for developing HCC. A total of 199 patients aged 40 years or older with liver cirrhosis or chronic liver disease who underwent gadoxetic acid-enhanced hepatobiliary MRI between 2011 and 2015 were analyzed. An independent radiologist retrospectively reviewed MRI findings, blinded to clinical information, and categorized them into low-risk features, high-risk features and high-risk nodules. High-risk features were defined as liver cirrhosis diagnosed by imaging. High-risk nodules were defined as LR-3 or LR-4 nodules based on LI-RADS version 2018. The primary outcome was development of HCC within 5-year of MRI evaluation. HCC was diagnosed in 28 patients (14.1%). HCC development was null for those with low-risk features (<i>n</i> = 84). The cumulative incidence rates of HCC were 0%, 2.3%, 13.4% and 22.1% at 1-, 2-, 3- and 5-year for those with high-risk features (<i>n</i>= 64), and were 19.1%, 31.8%, 37.3% and 46.7% at 1-, 2-, 3- and 5-year for those with high-risk nodules (<i>n</i>= 51). Among 28 patients developed HCC, the median time from baseline MRI to HCC diagnosis was 33.1 months (interquartile range: 25.9–46.7 months) for high-risk feature group, and 17.3 months (interquartile range: 6.2–26.5 months) for high-risk nodule group. HCC risk and time to HCC development differ according to baseline hepatobiliary MRI findings, indicating that hepatobiliary MRI findings can be used as biomarkers to differentiate HCC risk.
DOI: 10.5517/ccdc.csd.cc289cxw
title: CCDC 2094388: Experimental Crystal Structure Determination

description: Related Article: S. Anila Raj, V.G. Vidya, V. Preethi, V.G. Viju Kumar|2022|Results in Chemistry|4|100665|doi:10.1016/j.rechem.2022.100665
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.cc2bnvb6
title: CCDC 2164988: Experimental Crystal Structure Determination

description: Related Article: Kihoon Shin, Euihoo Lee, Taehwan Lee, Young Hoon Lee, Doo Hong Kim, Chaerin Kim, Jaehoon Jung, Byung Jun Jung, Min Hyung Lee|2023|Dyes Pigm.|209|110937|doi:10.1016/j.dyepig.2022.110937
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.cc2cbd15
title: CCDC 2184726: Experimental Crystal Structure Determination

description: Related Article: Francisco Villalba, Ana C. Albéniz|2022|Dalton Trans.|51|17733|doi:10.1039/D2DT03251A
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.cc2cbd26
title: CCDC 2184727: Experimental Crystal Structure Determination

description: Related Article: Francisco Villalba, Ana C. Albéniz|2022|Dalton Trans.|51|17733|doi:10.1039/D2DT03251A
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.cc2cbd8d
title: CCDC 2184733: Experimental Crystal Structure Determination

description: Related Article: Francisco Villalba, Ana C. Albéniz|2022|Dalton Trans.|51|17733|doi:10.1039/D2DT03251A
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.cc2ck00z
title: CCDC 2191080: Experimental Crystal Structure Determination

description: Related Article: Ariadni Zianna, Ellie Vradi, Antonios G. Hatzidimitriou, Stavros Kalogiannis, George Psomas|2022|Dalton Trans.|51|17629|doi:10.1039/D2DT02404G
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.cc2ck010
title: CCDC 2191081: Experimental Crystal Structure Determination

description: Related Article: Ariadni Zianna, Ellie Vradi, Antonios G. Hatzidimitriou, Stavros Kalogiannis, George Psomas|2022|Dalton Trans.|51|17629|doi:10.1039/D2DT02404G
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.cc2ck2mn
title: CCDC 2191161: Experimental Crystal Structure Determination

description: Related Article: Zhenkun Yang, Hongling Xie, Luning Tang, Jianwei Sun, Zhengyu Han, Hai Huang|2022|Chem.Commun.|58|13258|doi:10.1039/D2CC05208C
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.cc2cl1np
title: CCDC 2192092: Experimental Crystal Structure Determination

description: Related Article: Stephen Mensah, Joseph D. Rosenthal, Mamta Dagar, Tyson Brown, Jonathan J. Mills, Christopher G. Hamaker, Gregory M. Ferrence, Michael I. Webb|2022|Dalton Trans.|51|17609|doi:10.1039/D2DT02696A
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.cc2clc6k
title: CCDC 2192388: Experimental Crystal Structure Determination

description: Related Article: Megan O’Shaughnessy, Peter R. Spackman, Marc A. Little, Luca Catalano, Alex James, Graeme M. Day, Andrew I. Cooper|2022|Chem.Commun.|58|13254|doi:10.1039/D2CC04682B
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.cc2cllxh
title: CCDC 2192627: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Miller, Felix M. Brunner, H. Ray Kelly, Po Ling Cheung, Nicole A. Torquato, Milan Gembicky, Saya Okuno, Thomas Chan, Victor S. Batista, Clifford P. Kubiak|2022|Dalton Trans.|51|17688|doi:10.1039/D2DT02730E
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.