Research Data UNIPD
Not a member yet
    461 research outputs found

    3D hydrogeological reconstruction of the fault-controlled Euganean Geothermal System (NE Italy)

    No full text
    Data for geothermics paper submission (Article title: 3D hydrogeological reconstruction of the fault-controlled Euganean Geothermal System (NE Italy) DOI: https://doi.org/10.1016/j.enggeo.2020.105740

    Pandey S, Cherubini P, Saurer M, Carrer M & Petit G (2020) Dataset of paper: Effects of climate change on treeline trees in Sagarmatha (Mt. Everest, Central Himalaya)

    No full text
    This dataset contains the detrended mean chronologies of ring widths of Betula utilis and Abies spectabilis, and the individual measurements of δ18O, δ13C, δ13Ccorr, Δ13C and iWU

    hCRH test in Padova 2010-2019

    Get PDF
    We performed ACTH and cortisol levels during hCRHtest in 200 patients (86 CD, 15 EAS, 18 adrenal CS, 25 subclinical adrenal autonomous cortisol secretion, 31 pseudo-CS, 25 suspected AI). We collected the peaks value (peakACTH and peakcortisol) and calculated the percentage increases (∆%ACTH and ∆%cortisol) after an i.v. bolus of 100 μg hCRH

    Monitoring and modeling drainage network contraction and dry down in Mediterranean headwater catchments

    No full text
    The dataset contanins data relative to the field surveys of the active network, related to the manuscript "Monitoring and modeling drainage network contraction and dry down in Mediterranean headwater catchments"

    Familial Hyperaldosteronism Type 1 in Pregnancy: A Happy End with Low Dose Dexamethasone

    Get PDF
    Supplemental data of the manuscript "Familial Hyperaldosteronism Type 1 in Pregnancy: A Happy End with Low Dose Dexamethasone

    SNP array for parentage assignment of the Manila clam, Ruditapes philippinarum

    No full text
    The Manila clam Ruditapes philippinarum, a major cultured shellfish species, is threatened by infection with the microparasite Perkinsus olseni, whose prevalence increases with high water temperatures. Under the current trend of climate change, the already severe effects of this parasitic infection might rapidly increase the frequency of mass mortality events. Treating infectious diseases in bivalves is notoriously problematic, therefore selective breeding for resistance represents a key strategy for mitigating the negative impact of pathogens. A crucial step in initiating selective breeding is the estimation of genetic parameters for traits of interest, which relies on the ability to record parentage and accurate phenotypes in a large number of individuals. Here, to estimate the heritability of resistance against P. olseni, a field experiment mirroring conditions in industrial clam production was set up, a genomic tool was developed for parentage assignment, and parasite load was determined through quantitative PCR. A mixed-family cohort of potentially 1479 clam families was produced in a hatchery by mass spawning of 53 dams and 57 sires. The progenies were seeded in a commercial clam production area in the Venice lagoon, Italy, where high prevalence of P. olseni had previously been reported. Growth and parasite load were monitored every month and, after one year, more than 1000 individuals were collected and DNA and phenotype records. A 245-SNP panel was developed using candidate markers obtained from a pooled sequencing approach on two DNA samples from all the potential parents and from a Venice lagoon clam population. For 246 individuals of the mixed-family F1, sire and dam representation were high (75 and 85%, respectively), indicating a very limited risk of inbreeding. Moderate heritability (0.20 – 0.30) was estimated for growth traits, while parasite load showed high heritability, estimated at 0.52. No significant genetic correlations were found between growth-associated traits and parasite load. Overall, the study shows high potential for selecting clams resistant to parasite load. Breeding for resistance may help limit the negative effects of climate change on clam production, as the prevalence of the parasite is predicted to increase under a future scenario of higher temperatures. Finally, the limited genetic correlation between resistance and growth suggests that breeding programs could incorporate dual selection without negative interactions

    hCRH test in Padova 2010-2019

    No full text
    We performed ACTH and cortisol levels during hCRHtest in 200 patients (86 CD, 15 EAS, 18 adrenal CS, 25 subclinical adrenal autonomous cortisol secretion, 31 pseudo-CS, 25 suspected AI). We collected the peaks value (peakACTH and peakcortisol) and calculated the percentage increases (∆%ACTH and ∆%cortisol) after an i.v. bolus of 100 μg hCRH

    Apatite fission-track signatures of the Ross Sea ice flows during the Last Glacial Maximum

    No full text
    Information of each piston core in this work and AFT age data for each piston cor

    Aldosterone Stimulates Its Biosynthesis Via A Novel GPER Mediated Mechanism

    Get PDF
    Supplemental data The Journal of Clinical Endocrinology & Metabolism - JCEM submissio

    Smartphone identification database

    No full text
    This folder is composed of six .mat files containing the data used in the article ''Smartphone Identification via Passive Traffic Fingerprinting: a Sequence-to-Sequence Learning Approach'' by Francesca Meneghello, Michele Rossi and Nicola Bui. The Python source code is available at https://github.com/signetlabdei/smartphone_identification. If you use this dataset, please cite our paper: @article{Meneghello2020Network, author={Francesca Meneghello and Michele Rossi and Nicola Bui}, title={Smartphone Identification via Passive Traffic Fingerprinting: a Sequence-to-Sequence Learning Approach}, journal={IEEE Network Magazine}, volume={}, number={}, pages={}, year={2020}

    106

    full texts

    461

    metadata records
    Updated in last 30 days.
    Research Data UNIPD
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇