cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.787238
title: Capacity factors for wind turbines

description: Simulated capacity factors in Finland for six wind turbine models, Vestas V90-3.0 MW, V90-2.0 MW, V112-3.3 MW, V126-3.3 MW, V117-3.45 MW and V136-3.45 MW at four turbine hub heights 75, 100, 125, 150 m. Wind speed data are from Finnish Wind Atlas [1, 2], from which the Weibull distribution shape and scale parameters (labelled ‘Weibull all data k’ and ‘Weibull all data A’, respectively) and the frequencies of the wind sectors (‘Frequency all data’) were used. File <em>FWA_coordinates_2500m.csv</em> holds the geographical coordinates (WGS 84) of the Wind Atlas in 2.5×2.5 km<sup>2</sup> resolution. To simulate a wind farm where each turbine experiences a slightly different wind speed, we used a normal distribution with variance \(\sigma^2(v) = 0.2v + 0.6\,\mathrm{m/s}\), (where <em>v</em> is wind speed) to smooth (convolute) the original power curves [3, 4]. The calculation of capacity factor cf at wind atlas grid point k is described by the formula<br> \(\mathit{CF}_k = \mathop{\mathbb{E}}_{i, s} g(v_i) \approx \sum_{s=1}^{12} f_{k,s} \sum_{i=1}^N p_{k,s}(v_i) g(v_i) \Delta v\),<br> where g(v) is the power curve function for current wind turbine model, vi the mean wind speed of bin i, fk,s the frequency of occurrence of wind direction s at point k, N the number of wind speed bins, pk,s(v) the Weibull probability density function for sector s at point k at the hub height and Δv the width of the wind speed bin. <strong>References</strong> Finnish Meteorological Institute, “Finnish Wind Atlas,” 2008. [Online]. Available: http://www.windatlas.fi. [Accessed: 28-Jun-2016] B. Tammelin, T. Vihma, E. Atlaskin, J. Badger, C. Fortelius, H. Gregow, M. Horttanainen, R. Hyvönen, J. Kilpinen, J. Latikka, K. Ljungberg, N. G. Mortensen, S. Niemelä, K. Ruosteenoja, K. Salonen, I. Suomi, and A. Venäläinen, “Production of the Finnish Wind Atlas,” Wind Energy, vol. 16, no. 1, pp. 19–35, Jan. 2013. Staffell, Iain, and Richard Green. 2014. “How Does Wind Farm Performance Decline with Age?” Renewable Energy 66. Elsevier Ltd: 775–86. doi:10.1016/j.renene.2013.10.041. Staffell, Iain, and Stefan Pfenninger. 2016. “Using Bias-Corrected Reanalysis to Simulate Current and Future Wind Power Output.” Energy 114 (November): 1224–39. doi:10.1016/j.energy.2016.08.068.
description: Supported by the Strategic Research Council at the Academy of Finland, project 'Transition to a resource efficient and climate neutral electricity system (EL-TRAN)', grant number 314319.
DOI: 10.5281/zenodo.4032528
title: Procalcitonin and lung ultrasonography point-ofcare testing to decide on antibiotic prescription in patients with lower respiratory tract infection at primary care level: pragmatic cluster randomized trial

description: Dataset of the ULTRAPRO cluster-randomized clinical trial.
DOI: 10.5281/zenodo.4032527
title: Procalcitonin and lung ultrasonography point-ofcare testing to decide on antibiotic prescription in patients with lower respiratory tract infection at primary care level: pragmatic cluster randomized trial

description: Dataset of the ULTRAPRO cluster-randomized clinical trial.
DOI: 10.15128/r1fb494841v
title: The development of a screen valve for reciprocating heat pump/engine applications [dataset]

description: A novel screen valve with rectilinear ports is presented for use in advanced high-efficiency compressors, expanders, heat pumps or engines. The novel design aims to minimise pumping losses generated as the working gas flows through the valve by maximising the effective opening cross sectional area. In this work, various screen valve configurations have been investigated through a series of experimental tests conducted on a heavily modified research engine for high-speed, high-pressure valve testing. The valves were designed and tested to operate efficiently at both low and high engine speeds ranging between 1500 - 3000 rpm. The valve dynamics were optimised to meet two high-level criteria for performance - namely 1) high speed metric quantified by its percentage of "maximum dynamic pressure", and 2) low speed metric quantified by the valve "minimum closure angle". The valves were tested to meet the objective of avoiding any friction-locking issues associated with the valve retainer design. Multiple tests were carried out in pursuit of attaining an improved design. The work concluded that by including a carrier frame (rather than a retainer frame) and upstands on the valve seat, the valve performance was improved significantly. The best design yielded results of 50.4 % of maximum dynamic pressure and 25.1{degree sign} as minimum closure angle.
DOI: 10.6084/m9.figshare.12960218.v1
title: R0216_20180220a_videos

description: Rat 0216, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12960218
title: R0216_20180220a_videos

description: Rat 0216, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.25919/5f35aedea3c85
title: CSIRO Film Collection: videos 500 - 599 - compressed versions

description: CSIRO produced its first film in 1946. It was a two-hour, five-part epic in black and white designed for a specialist audience of Commonwealth scientists meeting in London. It showed them - in the most graphic way possible at the time - the nature and extent of the research facilities of an organisation embarking on the problems of post-war reconstruction. Within a few years, a permanent film unit was established and began to specialise in producing films for the specific audiences on particular areas of research. By the 1960's, it became apparent that many of the films were of interest to a much wider audience. Schools, colleges and universities were beginning to introduce the audio-visual medium to the learning process and CSIRO films were in increasing demand. Makers of television programmes looked to CSIRO films for images of science not yet accessible to the public eye.
DOI: 10.5281/zenodo.3824855
title: Evolution and lineage dynamics of a transmissible cancer in Tasmanian devils

description: Devil facial tumour 1 (DFT1) is a transmissible cancer clone endangering the Tasmanian devil. The expansion of DFT1 across Tasmania has been documented, but little is known of its evolutionary history. We analysed genomes of 648 DFT1 tumours collected throughout the disease range between 2003 and 2018. DFT1 diverged early into five clades, three spreading widely and two failing to persist. One clade has replaced others at several sites, and rates of DFT1 co-infection are high. DFT1 gradually accumulates copy number variants (CNVs) and its telomere lengths are short but constant. Recurrent CNVs reveal genes under positive selection, sites of genome instability and repeated loss of a small derived chromosome. Cultured DFT1 cell lines have increased CNV frequency and undergo highly reproducible convergent evolution. Overall, DFT1 is a remarkably stable lineage whose genome illustrates how cancer cells adapt to diverse environments and persist in a parasitic niche.
DOI: 10.5281/zenodo.4032618
title: Geometries for "Equation-of-motion MLCCSD and CCSD-in-HF oscillator strengths and their application to core excitations"

description: Geometries used in "Equation-of-motion MLCCSD and CCSD-in-HF oscillator strengths and their application to core excitations"
DOI: 10.5281/zenodo.3931991
title: Geometries for "Equation-of-motion MLCCSD and CCSD-in-HF oscillator strengths and their application to core excitations"

description: Geometries used in "Equation-of-motion MLCCSD and CCSD-in-HF oscillator strengths and their application to core excitations"
DOI: 10.6084/m9.figshare.12960176
title: R0221_20180412a_videos

description: Rat 0221, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.15129/7d12a867-232a-41f3-817a-82bfcb1d6349
title: Data for: "Characterisation of Estrogen Receptor Alpha (ERα) Expression in Breast Cancer Cells and Effect of Drug Treatment Using Targeted Nanoparticles and SERS"

description: The purpose of this dataset is to use a non-destructive approach for detecting and localising ERα at the single cell level using surface enhanced Raman spectroscopy (SERS) combined with functionalised gold nanoparticles (ERα-AuNPs). ERα-AuNP nanotags exhibit a great labelling specificity for ERα and they are a promising tool for the estimation of ERα expression levels, without the requirement of destructive and time-consuming techniques, such as western blot. Here, it is also highlighted the great opportunity of using SERS as a rapid and sensitive method for understanding the activity of selective estrogen receptor degraders (SERDs) in breast cancer. Therefore, it creates the potential of using SERS for both diagnosis and investigation of the efficacy of SERD drugs in breast cancer. This has a promising future use in personalised clinical approaches where patient derived samples could be screened for assessing the medication activity to avoid drug resistance outcomes. The dataset files are described in a separate Word document. Moratorium on data access until 27/11/2021
DOI: 10.5517/ccdc.csd.cc23w269
title: CCDC 1962430: Experimental Crystal Structure Determination

description: Related Article: Huie Jiang, Danni Tang, Zhijian Li, Junwei Li, Hanbin Liu, Qingjun Meng, Qingxin Han, Xinhua Liu|2020|Spectrochim.Acta,Part A|243|118784|doi:10.1016/j.saa.2020.118784
DOI: 10.5517/ccdc.csd.cc23nd4b
title: CCDC 1956011: Experimental Crystal Structure Determination

description: Related Article: Yu Hou, Yanan Zhou, Sinan Lu, Xu Zhang, Hongbo Tai, Yanyu Zhu, Zhengang Sun, Dapeng Dong, Chengqi Jiao, Jiarui Li|2020|Microchemical Journal|159|105385|doi:10.1016/j.microc.2020.105385
DOI: 10.5517/ccdc.csd.cc24s2rs
title: CCDC 1989355: Experimental Crystal Structure Determination

description: Related Article: Irshad Maajid Taily, Debarshi Saha, Prabal Banerjee|2020|Org.Biomol.Chem.|18|6564|doi:10.1039/D0OB01514H
DOI: 10.5517/ccdc.csd.cc250lqj
title: CCDC 1996577: Experimental Crystal Structure Determination

description: Related Article: Hajime Kameo, Hiroki Yamamoto, Koki Ikeda, Tomohito Isasa, Shigeyoshi Sakaki, Hiroyuki Matsuzaka, Yago García-Rodeja, Karinne Miqueu, Didier Bourissou|2020|J.Am.Chem.Soc.|142|14039|doi:10.1021/jacs.0c04690
DOI: 10.5517/ccdc.csd.cc250lrk
title: CCDC 1996578: Experimental Crystal Structure Determination

description: Related Article: Hajime Kameo, Hiroki Yamamoto, Koki Ikeda, Tomohito Isasa, Shigeyoshi Sakaki, Hiroyuki Matsuzaka, Yago García-Rodeja, Karinne Miqueu, Didier Bourissou|2020|J.Am.Chem.Soc.|142|14039|doi:10.1021/jacs.0c04690
DOI: 10.5517/ccdc.csd.cc250lxq
title: CCDC 1996583: Experimental Crystal Structure Determination

description: Related Article: Hajime Kameo, Hiroki Yamamoto, Koki Ikeda, Tomohito Isasa, Shigeyoshi Sakaki, Hiroyuki Matsuzaka, Yago García-Rodeja, Karinne Miqueu, Didier Bourissou|2020|J.Am.Chem.Soc.|142|14039|doi:10.1021/jacs.0c04690
DOI: 10.5517/ccdc.csd.cc250jh7
title: CCDC 1996508: Experimental Crystal Structure Determination

description: Related Article: Shiqiang Wei, Xiaoze Bao, Wenyao Wang, Shah Nawaz, Qimin Dai, Jingping Qu, Baomin Wang|2020|Chem.Commun.|56|10690|doi:10.1039/D0CC04215C
DOI: 10.5517/ccdc.csd.cc25290l
title: CCDC 1998198: Experimental Crystal Structure Determination

description: Related Article: Yuma Tanaka, Takashi Machida, Toshiaki Noumi, Kazuki Sada, Kenta Kokado|2020|Org.Chem.Front.|7|2649|doi:10.1039/D0QO00839G
DOI: 10.5517/ccdc.csd.cc25291m
title: CCDC 1998199: Experimental Crystal Structure Determination

description: Related Article: Yuma Tanaka, Takashi Machida, Toshiaki Noumi, Kazuki Sada, Kenta Kokado|2020|Org.Chem.Front.|7|2649|doi:10.1039/D0QO00839G
DOI: 10.5517/ccdc.csd.cc25292n
title: CCDC 1998200: Experimental Crystal Structure Determination

description: Related Article: Yuma Tanaka, Takashi Machida, Toshiaki Noumi, Kazuki Sada, Kenta Kokado|2020|Org.Chem.Front.|7|2649|doi:10.1039/D0QO00839G
DOI: 10.5517/ccdc.csd.cc2533jy
title: CCDC 1998989: Experimental Crystal Structure Determination

description: Related Article: J. Hrubý, D. Dvořák, L. Squillantini, M. Mannini, J. van Slageren, R. Herchel, I. Nemec, P. Neugebauer|2020|Dalton Trans.|49|11697|doi:10.1039/D0DT01512A
DOI: 10.5517/ccdc.csd.cc2533kz
title: CCDC 1998990: Experimental Crystal Structure Determination

description: Related Article: J. Hrubý, D. Dvořák, L. Squillantini, M. Mannini, J. van Slageren, R. Herchel, I. Nemec, P. Neugebauer|2020|Dalton Trans.|49|11697|doi:10.1039/D0DT01512A
DOI: 10.5517/ccdc.csd.cc2533l0
title: CCDC 1998991: Experimental Crystal Structure Determination

description: Related Article: J. Hrubý, D. Dvořák, L. Squillantini, M. Mannini, J. van Slageren, R. Herchel, I. Nemec, P. Neugebauer|2020|Dalton Trans.|49|11697|doi:10.1039/D0DT01512A
DOI: 10.6084/m9.figshare.12960176.v1
title: R0221_20180412a_videos

description: Rat 0221, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.22011/strenda_db.nr0w4n
title: A computer-controlled system for the study of oxidase reactions: application to the peroxidase-oxidase oscillator

description: Peroxidase A2, P80679, 2 phenolic donor + H2O2 = 2 phenoxyl radical of the donor + 2 H2O
DOI: 10.18112/openneuro.ds002634.v2.1.0
title: Project_larynx
DOI: 10.21227/eada-6545
title: Experimental database for detecting and diagnosing broken bar defects in a three-phase induction motor.

description: The data set contains electrical and mechanical signals from experiments on three-phase induction motors. The experimental tests were carried out for different mechanical loads on the induction motor axis and different severities of broken bar defects in the motor rotor, including data regarding the rotor without defects. Ten repetitions were performed for each experimental condition.
DOI: 10.6084/m9.figshare.12961976
title: Myocardial work – Correlation patterns and reference values from the population based STAAB cohort study

description: Myocardial work – Correlation patterns and reference values from the population based STAAB cohort study
DOI: 10.6084/m9.figshare.12961976.v1
title: Myocardial work – Correlation patterns and reference values from the population based STAAB cohort study

description: Myocardial work – Correlation patterns and reference values from the population based STAAB cohort study
DOI: 10.21227/n7y5-qg10
title: Experimental database for detecting and diagnosing broken bar defects in a three-phase induction motor.

description: The data set contains electrical and mechanical signals from experiments on three-phase induction motors. The experimental tests were carried out for different mechanical loads on the induction motor axis and different severities of broken bar defects in the motor rotor, including data regarding the rotor without defects. Ten repetitions were performed for each experimental condition.
DOI: 10.21227/150a-rv83
title: Experimental database for detecting and diagnosing broken bar defects in a three-phase induction motor.

description: The data set contains electrical and mechanical signals from experiments on three-phase induction motors. The experimental tests were carried out for different mechanical loads on the induction motor axis and different severities of broken bar defects in the motor rotor, including data regarding the rotor without defects. Ten repetitions were performed for each experimental condition.
DOI: 10.6084/m9.figshare.12490580.v1
title: Metadata record for the manuscript: Mechanism of action biomarkers predicting response to AKT inhibition in the I-SPY2 breast cancer trial

description: <b>Summary</b>This metadata record provides details of the data supporting the claims of the related manuscript: "Mechanism of action biomarkers predicting response to AKT inhibition in the I-SPY2 breast cancer trial".<br>The related study aimed to determine whether the AKT signaling axis proteins/genes specifically predicted response to AKT inhibitor MK2206 (M). To this end, 26 phospho-proteins and 10 genes involved in AKTmTOR-HER signaling were tested.<br>The data are gene expression and reverse phase protein array (RPPA) data from 150 women with high-risk stage II and III early breast cancer who were enrolled in the multicenter, multi-arm, neo-adjuvant I-SPY 2 TRIAL (NCT01042379; IND105139).<br><b>Data access</b>De-identified molecular and clinical data have been deposited in NCBI's <i>Gene </i><i>Expression Omnibus</i>. The superseries accession number is GSE150576. The constituent series accession number for the gene expression data is GSE149322, and the constituent series accession number for the RPPA protein/phospho-protein data is GSE150575. In addition, linear transformation parameters (gene expression) and normalisation parameters (mean, sd per RPPA endpoint) to transform raw to normalised data are available as supplemental files on <i>Gene Expression Omnibus</i>, along with the normalised data matrix used in the analysis (gene expression file: GSE149322_ExpDat_ISPY2_MK2206_n150.txt.gz).<br><br><br><b>Name of Institutional Review Board or ethics committee that approved the study</b>The protocol used in the study was approved by Institutional Review Boards at all participating institutions: University of California, San Francisco; George Mason University; Quantum Leap Healthcare Collaborative; University of Texas, MD Anderson Cancer Center; Berry Consultants, LLC. <br>
DOI: 10.5517/ccdc.csd.cc253wz5
title: CCDC 1999747: Experimental Crystal Structure Determination

description: Related Article: Catherine M. Aitchison, Michael Sachs, Marc A. Little, Liam Wilbraham, Nick J. Brownbill, Christopher M. Kane, Frédéric Blanc, Martijn A. Zwijnenburg, James R. Durrant, Reiner Sebastian Sprick, Andrew I. Cooper|2020|Chemical Science|11|8744|doi:10.1039/D0SC02675A
DOI: 10.5517/ccdc.csd.cc256vcm
title: CCDC 2002580: Experimental Crystal Structure Determination

description: Related Article: Ivan A. Yaremenko, Peter S. Radulov, Michael G. Medvedev, Nikolai V. Krivoshchapov, Yulia Yu. Belyakova, Alexander A. Korlyukov, Alexey I. Ilovaisky, Alexander O. Terent’ev, Igor V. Alabugin|2020|J.Am.Chem.Soc.|142|14588|doi:10.1021/jacs.0c06294
DOI: 10.5517/ccdc.csd.cc256vdn
title: CCDC 2002581: Experimental Crystal Structure Determination

description: Related Article: Ivan A. Yaremenko, Peter S. Radulov, Michael G. Medvedev, Nikolai V. Krivoshchapov, Yulia Yu. Belyakova, Alexander A. Korlyukov, Alexey I. Ilovaisky, Alexander O. Terent’ev, Igor V. Alabugin|2020|J.Am.Chem.Soc.|142|14588|doi:10.1021/jacs.0c06294
DOI: 10.5517/ccdc.csd.cc256vfp
title: CCDC 2002582: Experimental Crystal Structure Determination

description: Related Article: Ivan A. Yaremenko, Peter S. Radulov, Michael G. Medvedev, Nikolai V. Krivoshchapov, Yulia Yu. Belyakova, Alexander A. Korlyukov, Alexey I. Ilovaisky, Alexander O. Terent’ev, Igor V. Alabugin|2020|J.Am.Chem.Soc.|142|14588|doi:10.1021/jacs.0c06294
DOI: 10.5517/ccdc.csd.cc258y9q
title: CCDC 2004593: Experimental Crystal Structure Determination

description: Related Article: Fernando Vidal, James McQuade, Roger Lalancette, Frieder Jäkle|2020|J.Am.Chem.Soc.|142|14427|doi:10.1021/jacs.0c05454
DOI: 10.5517/ccdc.csd.cc258zct
title: CCDC 2004626: Experimental Crystal Structure Determination

description: Related Article: Maheshwara Reddy Nadiveedhi, Suresh Reddy Cirandur, Srirama Murthy Akondi|2020|Green Chemistry|22|5589|doi:10.1039/D0GC01726D
DOI: 10.5517/ccdc.csd.cc25bm7d
title: CCDC 2006203: Experimental Crystal Structure Determination

description: Related Article: Weigang Zhu, Austin P. Spencer, Subhrangsu Mukherjee, Joaquin M. Alzola, Vinod K. Sangwan, Samuel H. Amsterdam, Steven M. Swick, Leighton O. Jones, Michael C. Heiber, Andrew A. Herzing, Guoping Li, Charlotte L. Stern, Dean M. DeLongchamp, Kevin L. Kohlstedt, Mark C. Hersam, George C. Schatz, Michael R. Wasielewski, Lin X. Chen, Antonio Facchetti, Tobin J. Marks|2020|J.Am.Chem.Soc.|142|14532|doi:10.1021/jacs.0c05560
DOI: 10.5517/ccdc.csd.cc25gx4q
title: CCDC 2010323: Experimental Crystal Structure Determination

description: Related Article: Sungho V. Park, Charles G. Fry, Eckhard Bill, John F. Berry|2020|Chem.Commun.|56|10738|doi:10.1039/D0CC04426A
DOI: 10.5517/ccdc.csd.cc25gx6s
title: CCDC 2010325: Experimental Crystal Structure Determination

description: Related Article: Sungho V. Park, Charles G. Fry, Eckhard Bill, John F. Berry|2020|Chem.Commun.|56|10738|doi:10.1039/D0CC04426A
DOI: 10.5517/ccdc.csd.cc25gx7t
title: CCDC 2010326: Experimental Crystal Structure Determination

description: Related Article: Sungho V. Park, Charles G. Fry, Eckhard Bill, John F. Berry|2020|Chem.Commun.|56|10738|doi:10.1039/D0CC04426A
DOI: 10.5517/ccdc.csd.cc25gx8v
title: CCDC 2010327: Experimental Crystal Structure Determination

description: Related Article: Sungho V. Park, Charles G. Fry, Eckhard Bill, John F. Berry|2020|Chem.Commun.|56|10738|doi:10.1039/D0CC04426A
DOI: 10.5517/ccdc.csd.cc25md29
title: CCDC 2014630: Experimental Crystal Structure Determination

description: Related Article: Alexander Bodach, Karlee L. Bamford, Lauren E. Longobardi, Michael Felderhoff, Douglas W. Stephan|2020|Dalton Trans.|49|11689|doi:10.1039/D0DT02498H
DOI: 10.5517/ccdc.csd.cc25md4c
title: CCDC 2014632: Experimental Crystal Structure Determination

description: Related Article: Alexander Bodach, Karlee L. Bamford, Lauren E. Longobardi, Michael Felderhoff, Douglas W. Stephan|2020|Dalton Trans.|49|11689|doi:10.1039/D0DT02498H
DOI: 10.5517/ccdc.csd.cc25mfcm
title: CCDC 2014670: Experimental Crystal Structure Determination

description: Related Article: Alexander Bodach, Karlee L. Bamford, Lauren E. Longobardi, Michael Felderhoff, Douglas W. Stephan|2020|Dalton Trans.|49|11689|doi:10.1039/D0DT02498H
DOI: 10.5517/ccdc.csd.cc25md3b
title: CCDC 2014631: Experimental Crystal Structure Determination

description: Related Article: Alexander Bodach, Karlee L. Bamford, Lauren E. Longobardi, Michael Felderhoff, Douglas W. Stephan|2020|Dalton Trans.|49|11689|doi:10.1039/D0DT02498H
DOI: 10.5517/ccdc.csd.cc25pcjs
title: CCDC 2016535: Experimental Crystal Structure Determination

description: Related Article: Alexander Bodach, Karlee L. Bamford, Lauren E. Longobardi, Michael Felderhoff, Douglas W. Stephan|2020|Dalton Trans.|49|11689|doi:10.1039/D0DT02498H
DOI: 10.5517/ccdc.csd.cc25xbs7
title: CCDC 2023239: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar, Niklas von Wolff, Michael Rauch, You-Quan Zou, Guy Shmul, Yehoshoa Ben-David, Gregory Leitus, Liat Avram, David Milstein|2020|J.Am.Chem.Soc.|142|14267|doi:10.1021/jacs.0c05675
DOI: 10.6084/m9.figshare.12961949
title: R0221_20180413a_videos

description: Rat 0221, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.11961063.v32
title: Dimensions COVID-19 publications, datasets and clinical trials

description: This file contains all relevant publications, datasets and clinical trials from Dimensions that are related to COVID-19. The content has been exported from Dimensions using a query in the openly accessible Dimensions application, which you can access at https://covid-19.dimensions.ai/. Dimensions is updated once every 24 hours, so the latest research can be viewed alongside existing information. With its range of research outputs including datasets and clinical trials, both of which are just as important as journal articles in the face of a potential pandemic, Dimensions is a one-stop shop for all COVID-19 related information. <br>Please share this information with anyone you think would benefit from it. If you have any suggestions as to how we can improve our search terms to maximise the volume of research related to COVID-19, please contact us at support@dimensions.ai.
DOI: 10.6084/m9.figshare.12962132.v1
title: Leptospirosis extended data files

description: Excel files with EGMs
DOI: 10.5281/zenodo.4030717
title: Wind-generated Gravity Waves Retrieval from Sea Surface Elevation by Airborne Ka-band Interferometric Altimeter

description: This dataset contains WSSE Simulation data and AirKaIA data.
DOI: 10.6084/m9.figshare.12962132.v2
title: Leptospirosis extended data files

description: Excel files with EGMs