cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12520565
title: Weekly_flow state level

description: Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for monitoring and measuring the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during the pandemic. In this data descriptor, we introduce a regularly updated multiscale dynamic human mobility flow dataset across the United States, with data starting from March 1st, 2020. By analysing millions of anonymous mobile phone users’ visit trajectories to various places provided by SafeGraph, the daily and weekly dynamic origin-to-destination (O-D) population flows are computed, aggregated, and inferred at three geographic scales: census tract, county, and state. There is high correlation between our mobility flow dataset and openly available data sources, which shows the reliability of the produced data. Such a high spatiotemporal resolution human mobility flow dataset at different geographic scales over time may help monitor epidemic spreading dynamics, inform public health policy, and deepen our understanding of human behaviour changes under the unprecedented public health crisis. This up-to-date O-D flow open data can support many other social sensing and transportation applications.
DOI: 10.17632/mghwfnwfrv.1
title: Data for: Oral uptake and persistence of the FnAb-8 protein characterized by in situ radio-labeling and PET/CT imaging

description: PET tracer labeling and imaging of protein uptake and distribution
DOI: 10.25345/c57r21
title: MassIVE MSV000086336 - Soil metaproteomics data analysis based on de novo sequencing with the deep learning-based Kaiko model
title: We generated a protein database directly from soil metaproteomic data by identifying the microbial composition using the Kaiko model's de novo sequencing methods. We first analyzed the mass spectra de novo (without a database), identifying species from the observed peptides. We next gathered full proteomic databases for the identified species and searched the mass spec data using MS-GF+ and this custom-assembled protein sequence database.
DOI: 10.25838/d5p-13
title: Sequence alignments of alpha and beta spectrin

description: *** Multiple sequence alignment of erythrocytic α-spectrin sequences from 58 different species Sequences of erythrocytic α-spectrin were collected from the UniProtKB database at uniprot.org. 58 sequences with “erythrocytic α-spectrin” annotation were selected with an additional criterium being a comparable sequence length to human erythrocytic α-spectrin (2,419 residues). Multiple sequence alignment was performed with Clustal Omega (webserver version accessed at https://www.ebi.ac.uk/Tools/msa/clustalo/ on 04.30.2020) with default parameters. The result is given in the file with the ending .clustal_num. In addition, the sequence alignment is displayed as a .tif file, with colored residues indicating high identiy according to the ‘identity’ coloring option of Mview; colors vary according to physicochemical properties as specified in the MView documentation (Madeira, Park et al. 2019). *** Multiple sequence alignment of erythrocytic β-spectrin sequences from 11 different species Sequences of erythrocytic β-spectrin were collected from the UniProtKB database at uniprot.org. 11 sequences with “erythrocytic β -spectrin” annotation were selected with an additional criterium being a comparable sequence length to human erythrocytic β-spectrin (2,137 residues). Multiple sequence alignment was performed with Clustal Omega (webserver version accessed at https://www.ebi.ac.uk/Tools/msa/clustalo/ on 04.30.2020) with default parameters. The result is given in the file with the ending .clustal_num. In addition, the sequence alignment is displayed as a .tif file, with colored residues indicating high identiy according to the ‘identity’ coloring option of Mview; colors vary according to physicochemical properties as specified in the MView documentation (Madeira, Park et al. 2019). *** Madeira, F., Park, Y. M., Lee, J., Buso, N., Gur, T., Madhusoodanan, N., Basutkar, P., Tivey, A. R. N., Potter, S. C., Finn, R. D., and Lopez, R. (2019) The EMBL-EBI search and sequence analysis tools APIs in 2019. Nucleic Acids Res. 47, W636-W641
DOI: 10.6084/m9.figshare.13117631
title: R0309_20191124a_videos

description: Rat 0309, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13117631.v1
title: R0309_20191124a_videos

description: Rat 0309, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.3707050
title: Tabela excel expressão tecidos

description: data expression ABH antigens
DOI: 10.5281/zenodo.3707049
title: Tabela excel expressão tecidos

description: data expression ABH antigens
DOI: 10.6084/m9.figshare.13118618.v1
title: R0310_20191112a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13118618
title: R0310_20191112a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12543014
title: 4_trees

description: Phylogenetic trees generated from different methods.
DOI: 10.6084/m9.figshare.12543014.v1
title: 4_trees

description: Phylogenetic trees generated from different methods.
DOI: 10.34740/kaggle/dsv/1557936
title: Drug Sales Dataset
DOI: 10.5281/zenodo.1476713
title: PERVASIVE ADAPTATION OF HEPATITIS C VIRUS TO INTERFERON LAMBDA POLYMORPHISM ACROSS MULTIPLE GENOTYPES

description: Genetic polymorphism in the interferon lambda (IFN-λ) region is associated with spontaneous clearance of hepatitis C virus (HCV) infection and with response to interferon-based antiviral treatment. Here, we evaluate the associations between IFN-λ polymorphism and HCV variation by performing a genome-to-genome analysis in 8,729 patients from diverse ancestral backgrounds infected with various HCV genotypes. We searched for associations between human rs12979860 genotype, a tag for IFN-λ haplotypes, and amino acid variants in the NS3, NS4A, NS5A and NS5B proteins of HCV. We report multiple associations between host and pathogen variants in the full cohort as well as in subgroups defined by viral genotype and human ancestry. We also assess the combined impact of human and HCV variation on pre-treatment viral load. By demonstrating that IFN-λ genetic variation leaves a large footprint in the viral genome, this study provides strong evidence of pervasive viral adaptation to host innate immune pressure during chronic HCV infection.
DOI: 10.5281/zenodo.1476712
title: PERVASIVE ADAPTATION OF HEPATITIS C VIRUS TO INTERFERON LAMBDA POLYMORPHISM ACROSS MULTIPLE GENOTYPES

description: Genetic polymorphism in the interferon lambda (IFN-λ) region is associated with spontaneous clearance of hepatitis C virus (HCV) infection and with response to interferon-based antiviral treatment. Here, we evaluate the associations between IFN-λ polymorphism and HCV variation by performing a genome-to-genome analysis in 8,729 patients from diverse ancestral backgrounds infected with various HCV genotypes. We searched for associations between human rs12979860 genotype, a tag for IFN-λ haplotypes, and amino acid variants in the NS3, NS4A, NS5A and NS5B proteins of HCV. We report multiple associations between host and pathogen variants in the full cohort as well as in subgroups defined by viral genotype and human ancestry. We also assess the combined impact of human and HCV variation on pre-treatment viral load. By demonstrating that IFN-λ genetic variation leaves a large footprint in the viral genome, this study provides strong evidence of pervasive viral adaptation to host innate immune pressure during chronic HCV infection.
DOI: 10.5281/zenodo.4110844
title: Cilia density and flow velocity affect alignment of motile cilia from brain cells

description: Here we store video and code used for the publication Cilia density and flow velocity affect alignment of motile cilia from brain cells. Video1 and Video2 are videos referenced in the main text of the paper We provide raw images and codes to support the article.The complete dataset of raw images is more than 1 Tb. Here we are limited to 50Gb. The full dataset is available upon request. <br> We choose to provide a full dataset of two culture at DIV 16, one treated with shear flow and a control without flow. <br> For each of the two cultures, the videos with propelled particles are in the directory FL,<br> The bright field images without particles are stored in BF. Unfortunately we uploaded only few videos because of their large size. The results of the analysis of this dataset is reported in the directory analysis (available for each culture). Moreover we provide the code to analyse these data.<br> The analysis routine: Step 1: for each field of view (fov) getting the cilia beating direction from the FL images. This is done with PIV. The code is Step1_PIVanalysis.mat Step 2: for each fov getting ciliated cell position and CBF from the BF movies. Gather the cilia beating direction and cilia posion and frequency in a unique figure and matlab class (Res.mat). This is done in Step2_gatherResults.mat The results of these analysis are stored in the analysis folder for each culture. These routines are repeated for each experiment and results are then plotted to get trends. In the folder code4figures we report the code that we used to make the figures in the papers starting from a matlab file "all_results*.mat", where are gathered all the analysis. The code may improve in the future with more comments. please check Nicola's github page for the latest update. Please contact us for any problem. https://github.com/NicolaPellicciotta/Code4-Cilia-density-and-flow-velocity-affect-alignment-of-motile-cilia-from-brain-cells All the raw videos and code are in the archive.
DOI: 10.6084/m9.figshare.12646748.v1
title: Supplementary Data for the paper: A strategy to incorporate prior knowledge into correlation network cutoff selection

description: We include here several supplementary data files that will help replicate the transcriptomics results reported in our paper using the code uploaded to https://github.com/krumsieklab/CutoffOpt.<br>- STRING adjacency- CORUM adjacency- Reactome pathway annotations<br>- TCGA PANCAN12 preprocessed RNA-seq data - precomputed bootstrapping results of our cutoff optimization algorithm
DOI: 10.6084/m9.figshare.12646748
title: Supplementary Data for the paper: A strategy to incorporate prior knowledge into correlation network cutoff selection

description: We include here several supplementary data files that will help replicate the transcriptomics results reported in our paper using the code uploaded to https://github.com/krumsieklab/CutoffOpt.<br>- STRING adjacency- CORUM adjacency- Reactome pathway annotations<br>- TCGA PANCAN12 preprocessed RNA-seq data - precomputed bootstrapping results of our cutoff optimization algorithm
DOI: 10.5066/f7sq8xm8
title: Pufferfish mortality data

description: In 2010, a mass mortality of pufferfish in Hawaii was dominated by Arothron hispidus showing aberrant neurological behaviors. Using pathology, toxinology, and field surveys, we implicated a series of novel, polar, marine toxins as a likely cause of this mass mortality. Our findings are striking in that 1) a marine toxin was associated with a kill of a fish species that is, itself, toxic; 2) we provide a plausible mechanism to explain clinical signs of affected fish, and 3) this epizootic likely depleted puffer populations. Whilst our data are compelling, we did not synthesize the toxin de-novo, we were unable to categorically prove that the polar toxins caused mortality or that they were metabolites of an undefined parent compound. However, our approach does provides a template for marine fish kill investigations associated with marine toxins and inherent limitations of existing methods. Our study also highlights the need for more rapid and cost-effective tools to identify new marine toxins, particularly small, highly polar molecules.
DOI: 10.5517/ccp5fdn
title: CCDC 630831: Experimental Crystal Structure Determination

description: Related Article: N.I.Medvedeva, O.B.Flekhter, A.A.Korlyukov|2009|Zh.Strukt.Khim.|50|399|
DOI: 10.5517/ccrv0xh
title: CCDC 710207: Experimental Crystal Structure Determination

description: Related Article: A.L.Gushchin, M.N.Sokolov, K.A.Kovalenko, E.V.Peresypkina, A.V.Virovets, N.I.Alferova, V.P.Fedin|2009|Koord.Khim.|35|403|
DOI: 10.5517/ccv9x23
title: CCDC 784085: Experimental Crystal Structure Determination

description: Related Article: V.P.Kirin, I.Yu.Prikhod'ko, V.A.Maksakov, A.V.Virovets, A.M.Agafontsev, A.V.Golovin|2009|Izv.Akad.Nauk SSSR,Ser.Khim.||1332|
DOI: 10.5517/ccv9x34
title: CCDC 784086: Experimental Crystal Structure Determination

description: Related Article: V.P.Kirin, I.Yu.Prikhod'ko, V.A.Maksakov, A.V.Virovets, A.M.Agafontsev, A.V.Golovin|2009|Izv.Akad.Nauk SSSR,Ser.Khim.||1332|
DOI: 10.5517/ccwkzyb
title: CCDC 821653: Experimental Crystal Structure Determination

description: Related Article: A.B.Burdukov, M.A.Vershinin, N.V.Pervuhkina, S.G.Kozlova, I.V.El'tsov, Ya.Z.Voloshin|2011|Izv.Akad.Nauk SSSR,Ser.Khim.||2455|
DOI: 10.6084/m9.figshare.13120187
title: Significant SNPs identified through GWAS analyses

description: Trait-associated SNPs and annotated genes located within a 50 kb window up and downstream from each trait-associated SNP for each GWAS analysis shown in Figure 2.5d and e and 2.S5 in the paper https://doi.org/10.34133/2020/4216373
DOI: 10.6084/m9.figshare.13120187.v1
title: Significant SNPs identified through GWAS analyses

description: Trait-associated SNPs and annotated genes located within a 50 kb window up and downstream from each trait-associated SNP for each GWAS analysis shown in Figure 2.5d and e and 2.S5 in the paper https://doi.org/10.34133/2020/4216373
DOI: 10.5066/f7xw4h14
title: Emerging fungal pathogen Ophidiomyces ophiodiicola in wild European snakes

description: Snake fungal disease (SFD) is an emerging disease of wild snakes in eastern North America caused by the fungus Ophidiomyces ophiodiicola. Recently, the disease has also been detected in wild snake in Europe. The data presented here describe: 1) culture, PCR, and histopathology results of wild European snakes opportunistically sampled for O. ophiodiicola, 2) colony expansion rates of various isolates of O. ophiodiicola from Europe and North America, and 3) DNA sequence alignment and phylogenetic tree files.
DOI: 10.25919/5f8f5a6189b06
title: Parkes observations for project P1039 semester 2020APRS_06

description: Rotating Radio Transients (RRATs) are a group of sporadically emitting neutron stars. Their erratic single-pulse emission makes them hard to detect and consequently, our knowledge of even the basic parameters of the population is lacking. Here we propose an ambitious project to systematically review the spectral and rotational parameters of a large fraction (29) of the known RRAT population in the southern hemisphere, roughly 90 per cent of those that are well localised. Our project plays to the strengths of the newly commissioned Parkes UWL receiver and backend system, its wide 3.3-GHz instantaneous frequency coverage, excellent sensitivity and ability to coherently remove the effects of dispersion in the interstellar medium. The data will enable us to measure their absolute calibrated flux densities, polarimetric profiles, spectral behaviour, detection rates, inter-pulse waiting times and rotational parameters. Our measurements are crucial to understanding whether the RRATs form a distinct class from the ordinary radio pulsars and will inform observations and RRAT yields of surveys at upcoming facilities. Additionally, they will elucidate any potential relationship with pulses from repeating Fast Radio Bursts.
DOI: 10.17632/6d5nwkffrm.1
title: Data for: Initial landing position effects on Chinese word learning in children and adults

description: We included all the data we used in our paper.
DOI: 10.25387/g3.12783956
title: Supplemental Material for Berg et al., 2020

description: Supplemental figures and datasets to accompany "Chemical-genetic interactions with the proline analog L-azetidine-2-carboxylic acid in <i>Saccharomyces cerevisiae</i>" by Berg <i>et al. </i>Supplemental materials document contains all supplemental figures. Supplemental file 1 contains custom R script used to analyze the data. Supplemental file 2 contains the raw Z-scores from the initial AZC screen. Supplemental file 3 contains the AUC values and interaction scores for the AZC growth curve validation. Supplemental file 4 contains the AUC values and interaction scores for the canavanine and thialysine growth curves. Supplemental file 5 contain the results from the synthetic genetic array with AZC sensitive strains and the mistranslating tRNA<sup>Ser</sup><sub>UGG, G26A</sub>.
DOI: 10.25387/g3.12783956.v2
title: Supplemental Material for Berg et al., 2020

description: Supplemental figures and datasets to accompany "Chemical-genetic interactions with the proline analog L-azetidine-2-carboxylic acid in <i>Saccharomyces cerevisiae</i>" by Berg <i>et al. </i>Supplemental materials document contains all supplemental figures. Supplemental file 1 contains custom R script used to analyze the data. Supplemental file 2 contains the raw Z-scores from the initial AZC screen. Supplemental file 3 contains the AUC values and interaction scores for the AZC growth curve validation. Supplemental file 4 contains the AUC values and interaction scores for the canavanine and thialysine growth curves. Supplemental file 5 contain the results from the synthetic genetic array with AZC sensitive strains and the mistranslating tRNA<sup>Ser</sup><sub>UGG, G26A</sub>.
DOI: 10.25387/g3.12783956.v1
title: Supplemental Material for Berg et al., 2020

description: Supplemental figures and datasets to accompany "Chemical-genetic interactions with the proline analog L-azetidine-2-carboxylic acid in <i>Saccharomyces cerevisiae</i>" by Berg <i>et al. </i>Supplemental materials document contains all supplemental figures. Supplemental file 1 contains custom R script used to analyze the data. Supplemental file 2 contains the raw Z-scores from the initial AZC screen. Supplemental file 3 contains the AUC values and interaction scores for the AZC growth curve validation. Supplemental file 4 contains the AUC values and interaction scores for the canavanine and thialysine growth curves. Supplemental file 5 contain the results from the synthetic genetic array with AZC sensitive strains and the mistranslating tRNA<sup>Ser</sup><sub>UGG, G26A</sub>.
DOI: 10.5517/cc74gg8
title: CCDC 212829: Experimental Crystal Structure Determination

description: Related Article: S.B.Artemkina, N.G.Naumov, A.V.Virovets, V.E.Fedorov|2002|Zh.Strukt.Khim.|43|741|
DOI: 10.5517/ccs9dq5
title: CCDC 724027: Experimental Crystal Structure Determination

description: Related Article: I.G.Ovchinnikova, O.V.Fedorova, P.A.Slepukhin, G.L.Rusinov|2008|Izv.Akad.Nauk SSSR,Ser.Khim.||204|
DOI: 10.5517/ccwm4d0
title: CCDC 822752: Experimental Crystal Structure Determination

description: Related Article: I.G.Ovchinnikova, E.G.Matochkina, M.I.Kodess, P.A.Slepukhin, O.V.Fedorova, G.L.Rusinov, V.N.Charushin|2011|Izv.Akad.Nauk SSSR,Ser.Khim.||997|
DOI: 10.5517/ccvqddb
title: CCDC 796092: Experimental Crystal Structure Determination

description: Related Article: A.Ghaemi, S.Rayati, B.Jahanpanah, H.R.Khavasi|2012|Koord.Khim.|38|671|
DOI: 10.6084/m9.figshare.13118615
title: R0310_20191113a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.25345/c5420f
title: MassIVE MSV000086338 - GNPS_Synthetic Cannabinoids in OF_QC4
title: Untargeted approach synthetic cannabinoids in Oral fluid
DOI: 10.5519/qd.fb5ct56l
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (28 records)
DOI: 10.6084/m9.figshare.13118615.v1
title: R0310_20191113a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.7910/dvn/azbcrc/kxtgvp
title: 0-2.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/deaakx
title: 0-54.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/ctl6v7
title: 0-43.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/rpsgxl
title: 0-48.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/uxrv8f
title: 0-39.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/fdizyk
title: 0-16.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/ip8mjj
title: 0-5.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/nwfd8d
title: 0-41.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/fkhkxq
title: 0-15.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/pvlj7z
title: 0-11.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/nfee3a
title: 0-8.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/xhhueu
title: 0-28.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/5xm1dk
title: 0-38.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/mrejun
title: 0-6.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/ixhfxo
title: 0-29.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/4y82kr
title: 0-33.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/r35x2q
title: 0-7.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/bm3c1z
title: 0-46.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/hwgfve
title: 0-55.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/z5pgqi
title: 0-40.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/sdfihk
title: 0-24.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/kwkevx
title: 0-22.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/twy1u2
title: 0.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/6zduay
title: 0-42.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/hgph7d
title: 0-17.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/x30muq
title: 0-52.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/adf2zp
title: 0-61.5V

description: sigma=0.75volts
DOI: 10.7910/dvn/azbcrc/ijuwjw
title: 0-32.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/32j4aw
title: 0-23.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/u0fnb0
title: 0-25.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/ssga6j
title: 0-3.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/xebivb
title: 0-20.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/9ssibq
title: 0-60.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/p4ikqe
title: 0-49.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/n3yzxb
title: 0-14.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/srtqzb
title: 0-19.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/9bjpuz
title: 0-47.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/ljnybc
title: 0-26.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/zz5adm
title: 0-4.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/cs1wlq
title: 0-31.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/jrliah
title: 0-21.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/wbdjxu
title: 0-13.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/jtxjts
title: 0-59.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/qlfrbs
title: 0-45.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/fbg7hf
title: 0-30.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/3plnmj
title: 0-34.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/dsvmui
title: 0-57.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/tss8zk
title: 0-1.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/tucbas
title: 0-18.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/5vx4ii
title: 0-35.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/nav1ly
title: 0-56.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/vvgfpu
title: 0-51.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/nxxgym
title: 0-27.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/gqzxqb
title: 0-37.5V

description: sigma=0.5volts
DOI: 10.7910/dvn/azbcrc/vvddsg
title: 0-58.5V

description: sigma=0.5volts