5 research outputs found
COVID-19 mortality correlation with cloudiness, sunlight, latitude in European countries
No full text"COVID-19 mortality correlation with cloudiness, sunlight, latitude in European countries"
Dataset for preprint titled
"COVID-19 mortality: positive correlation with cloudiness but no correlation with sunlight and latitude in Europe"
https://doi.org/10.1101/2021.01.27.21250658
by SECIL OMER, ADRIAN IFTIME, VICTOR BURCEA
Corresponding author: A. Iftime, University of Medicine and Pharmacy "Carol Davila", Biophysics Department, 8 Blvd. Eroii Sanitari, 050474 Bucharest, Romania. Email address: adrian.iftime [at] umfcd.ro.
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Dataset file:
2.0.0.COVID-19_Mortality_Cloudiness_Insolation_EUROPE_March_December_2020.csv
Dataset graphical preview:
2.0.0.INFOGRAPHIC_CloudFraction_vs_COVID-19_mortality_Europe_March-December_2020.png
DATASET:
444 rows (records), with the following fields:
"Country" :
Country name; 37 European countries included.
"Date":
Date stamp at the collection time.
Data collection was performed in the last day of every month.
Date format: YYYY-MM-DD
"Month_Key" :
Date stamp at the collection time, formatted for easier monthly time series analysis.
Date format: YYYY-MM
"Month_Fct2020"
Date stamp at the collection time,formatted for easier graphing, as a string with names of the months
(in English).
"Deaths_per_1Mpop" :
Monthly mortality from COVID-19 raported in the country,
reported as number of COVID-19 deaths per 1 million population of the country,
in that particular month / country.
NB: it is reported as million population, not patients.
"LogDeaths_per_1Mpop" :
Log10 transformation of "Deaths_per_1Mpop"
"Insolation_Average" :
Insolation average (solar irradiance at ground level),
in that particular month / country.
It is expressed in Watt / square meter of the ground surface.
Data derived from data avaialble at NASA Langley Research Center, NASA’s Earth Observatory,
CERES / FLASHFlux team, 2020,
https://neo.gsfc.nasa.gov/view.php?datasetId=CERES_INSOL_M
(old link: https://neo.sci.gsfc.nasa.gov/view.php?datasetId=CERES_INSOL_M )
"Cloud_Fraction" :
Cloudiness (also known as cloud fraction, cloud cover, cloud amount or sky cover),
as decimal fraction of the sky obscured by clouds,
in that particular month / country.
Data derived from NASA Goddard Space Flight Center, NASA’s Earth Observatory,
MODIS Atmosphere Science Team, 2020,
https://neo.gsfc.nasa.gov/view.php?datasetId=MODAL2_M_CLD_FR
(old link: https://neo.sci.gsfc.nasa.gov/view.php?datasetId=MODAL2_M_CLD_FR )
"CENTR_latitude" and
"CENTR_longitude" :
Latitude and Longitude of the country centroid, for each country.
Data derived from Google LLC, "Dataset publishing language: country centroids",
https://developers.google.com/public-data/docs/canonical/countries_csv
NOTE: This is identical in every month (obviuously);
it is redundantly included for easier monthly sectional analysis of the data.
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Versioning of the dataset:
MAJOR: changes yearly; 1 = 2020
MINOR: changes if new monthly data is added in that particular year.
PATCH: Changes only if errors or minor edits were performed.
===========
CHANGELOG:
Version 2.0.0.COVID-19_Mortality_Cloudiness_Insolation_EUROPE_March_December_2020.csv
- CERES/FLASHFLUX data for August-December 2020 became available at new links at nasa.gov
- These data were gathered, analyzed and introduced in this dataset (2.0.0).
- updated links for CERES/FLASHFLUX and MODIS dataset
- added DOI link for preprint
- minor edits on text.
-Dataset file source for this version (internal analysis source file):
db_covid_all-ANALYSIS.2020-all-year_versiunea18d.csv
Version 1.0.0.COVID-19_Mortality_Cloudiness_Insolation_EUROPE_March_August_2020.csv
First version
Dataset file source for this version (internal analysis source file):
db_covid_all-ANALYSIS.2020-09-22_r10.cs
A coordination model based control of functional arm manipulation by RBF neural networks
No full textTHE AXIOLOGICAL PERSPECTIVE IN THE TRAINING OF TEACHERS
No full textIn this paper we propose to realize a comparison between the professional values of teachers in the primary and pre-primary and the professional values of students at Pedagogy of primary and pre-primary education to validate their professional motivation. The research was conducted on a sample of 51 teachers from primary and pre-primary education in the county of Constanţa and 51 students from Ovidius University of Constanţa. The Inventory of professional values, author D. E. Super, and the interview method were applied. A special contribution in the development of a society is the one the school takes as an organization, through its projected objectives, which fosters cultural values of the whole society, reflected in the teaching plan. The performances objectifying the school organization skills depend, to a large extent, on the individual performance of its members, on their motivation and the professional values that they develop
Abundant prey or optimal microhabitat? Natrix tessellata stays hidden in safe areas in a diverse floodplain along the Danube at Göd, Hungary
No full textNatrix tessellata (Laurenti, 1768) is a diurnal piscivorous Eurasian snake species with a large
distribution area. Along the River Danube it is present in the floodplain and along the lower stretch of
tributaries. The distribution of N. tessellata among the different microhabitats along the River Danube at Göd
(1669-1671 rkm) and its relationship with environmental parameters and fish presence/absence, species
composition, size distribution and abundance was studied at eight selected sections. Samples were collected
twice a month from March to October in 2008-2009; N. tessellata was found between May and early October.
Altogether 26 N. tessellata sightings were recorded together with 497 individuals of 21 fish species along the
same sections, while another 5,547 individuals belonging to 28 fish species were caught in snake-free areas.
Microhabitat characteristics were more important than the presence of fish in determining along which
section N. tessellata stays. It favoured slow-flowing sections with aquatic macrophytes and a sandy or muddy
bottom. In spite of their suitability, artificial habitats were not much used maybe due to increased risk of
disturbance and predation/persecution. The habitat preference of N. tessellata changed less between the two
studied years with different water level fluctuations than those of fishes and it was not identical with that of
any of the fish species caught. However, fish 15-30 mm and longer may influence the distribution of N.
tessellata
MIBiG 4.0: advancing biosynthetic gene cluster curation through global collaboration
No full text\ua9 The Author(s) 2024. Specialized or secondary metabolites are small molecules of biological origin, often showing potent biological activities with applications in agriculture, engineering and medicine. Usually, the biosynthesis of these natural products is governed by sets of co-regulated and physically clustered genes known as biosynthetic gene clusters (BGCs). To share information about BGCs in a standardized and machine-readable way, the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard and repository was initiated in 2015. Since its conception, MIBiG has been regularly updated to expand data coverage and remain up to date with innovations in natural product research. Here, we describe MIBiG version 4.0, an extensive update to the data repository and the underlying data standard. In a massive community annotation effort, 267 contributors performed 8304 edits, creating 557 new entries and modifying 590 existing entries, resulting in a new total of 3059 curated entries in MIBiG. Particular attention was paid to ensuring high data quality, with automated data validation using a newly developed custom submission portal prototype, paired with a novel peer-reviewing model. MIBiG 4.0 also takes steps towards a rolling release model and a broader involvement of the scientific community. MIBiG 4.0 is accessible online at https://mibig.secondarymetabolites.org/
