Search results

0585356 - NHU-C 2025 CZ eng V - Research Report
Alfaro-Ureña, A. - Zacchia, Paolo
Matching to suppliers in the production network: an empirical framework.
Prague: CERGE-EI, 2024. 44 s. CERGE-EI Working Paper Series, 775. ISSN 2788-0443
Grant - others:Univerzita Karlova(CZ) UNCE/HUM/035
Institutional support: Cooperatio-COOP
Keywords : production network * supplier choice * conditional logit
OECD category: Applied Economics, Econometrics
https://www.cerge-ei.cz/pdf/wp/Wp775.pdf
Permanent Link: https://hdl.handle.net/11104/0353080

0585178 - ÚI DATA Scientific data      2024
Bauerová, P. - Šindelářová, A. - Keder, J. - Vlček, O. - Patiño, W. - Resler, Jaroslav - Krč, Pavel - Řezníček, Hynek - Geletič, Jan - Bureš, Martin - Eben, Kryštof - Belda, M. - Radović, J. - Fuka, V. - Jareš, R. - Ezau, I.

TURDATA: a database of low-cost air quality and remote sensing measurements for the validation of micro-scale models in the real Prague urban environments.

Description: TURDATA is a supplementary data set for the TURBAN project Prague observation campaign described in the manuscript Bauerová et al. 2024 (submitted for publication). The measurement campaign focused on air pollution and meteorological measurement, including vertical profiles in selected part of Prague city centre called here as Legerova domain. Within this area, one professional meteorological station (MS) Prague Karlov and one reference traffic air quality monitoring (AIM) station Prague 2-Legerova (classified as traffic hotspot) are located. To gain high spatial and temporal resolution data, the supplementary measurement network was established, which consisted of:
- 20 combined low-cost sensor (LCS) stations for monitoring of PM10, PM2.5, NO2 and O3 concentrations (using Plantower PMS7003 particle counters and Envea Cairsense electrochemical sensors) placed in different sites and different height levels AGL (higher = H, lower = L),
- 1 mobile telescopic meteorological mast for measuring temperature, relative humidity, wind velocity and direction and air pressure (using 2D ultrasonic anemometer Gill WindSonic 60 and weather station Gill MetConnect THP),
- 1 MTP-5-He microwave radiometer (MWR; Attex) for temperature vertical profile,
- 1 StreamLine XR Doppler LIDAR (HALO Photonics) for wind vertical profile.
Keywords : air quality * monitoring * low-cost sensor network * street * LIDAR
OECD category: Meteorology and atmospheric sciences
Permanent Link: https://hdl.handle.net/11104/0352954
Depositor: admin
Date of release: 16.4.2024
 

0581919 - FZÚ 2024 RIV US eng J - Journal Article
Borah, D. - Das, S.J. - Roshan, R. - Samanta, Rome
Imprint of PBH domination on gravitational waves generated by cosmic strings.
Physical Review D. Roč. 108, č. 2 (2023), č. článku 023531. ISSN 2470-0010. E-ISSN 2470-0029
R&D Projects: GA MŠMT EF15_003/0000437
Grant - others:OP VVV - CoGraDS(XE) CZ.02.1.01/0.0/0.0/15_003/0000437
Institutional support: RVO:68378271
Keywords : new physics * cosmic string: network * black hole: primordial
OECD category: Particles and field physics
Impact factor: 5, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0350071

0581580 - ÚDU 2024 eng A - Abstract
Trnková, Petra
MSCA Stories. "Photomechanics".
[Czech Days for European Research (CZEDER) /20./. Praha, 14.01.2024-14.01.2024]
Method of presentation: Přednáška
Event organizer: Technologické centrum AV ČR
URL events: https://www.czeder.cz/archive/2023 
Institutional support: RVO:68378033
Keywords : photography * photomechanical reproduction * network * project management
OECD category: Arts, Art history
Permanent Link: https://hdl.handle.net/11104/0349679

0580114 - ÚVGZ 2024 RIV CH eng J - Journal Article
Petrik, Peter - Grote, R. - Gömöry, D. - Kurjak, D. - Petek-Petrik, Anja - Lamarque, L. J. - Sliacka Konopkova, A. - Mukarram, M. - Debta, H. - Fleischer, P.
The Role of Provenance for the Projected Growth of Juvenile European Beech under Climate Change.
Forests. Roč. 14, č. 1 (2023), č. článku 26. E-ISSN 1999-4907
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079 ; RVO:67985939
Keywords : fagus-sylvatica l. * norway spruce * environmental-conditions * phenotypic plasticity * summer drought * future climate * radial growth * responses * forests * populations * Fagus sylvatica * eco distance * phenotypic plasticity * neural network model * common garden * local adaptation
OECD category: Forestry; Forestry (BU-J)
Impact factor: 2.9, year: 2022
Method of publishing: Open access
https://www.mdpi.com/1999-4907/14/1/26
Permanent Link: https://hdl.handle.net/11104/0348884