Most of our work has resulted in scholarly publications. On this page you can review our publications to get an idea about our work.
ACTRIS/EARLINET Level 3 2000-2021 climatological dataset over Roma-Tor Vergata, Italy
October, 2026 • Dataset
Dionisi, Davide, Liberti, Gian Luigi, Di Paolantonio, Marco, Giuliano, Giovanni, Consiglio Nazionale Delle Ricerche-Istituto Di Scienze Marineet al.
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Roma-Tor Vergata, Italy. Level 3 climatological datasets are obtained as aggregated product…
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Roma-Tor Vergata, Italy. Level 3 climatological datasets are obtained as aggregated products from the ACTRIS/EARLINET fully quality controlled (QC) aerosol optical products (i.e. Level 2 products). In particular, this release considers only data fully compliant to the ACTRIS/EARLINET QC procedure v4.0 [https://earlinet.eu/wp-content/uploads/2025/03/EARLINET_QC_v4_0_20250225.pdf].
Two types of data are released: profile values and integrated quantities. For each type of data, four different temporal aggregations are provided: seasonal, annual, normal seasonal, normal monthly.
ACTRIS/EARLINET Level 3 2000-2021 climatological dataset over Belsk, Poland
October, 2026 • Dataset
Petruczuk, Aleksander, Szkop, Artur, Wink, Jakub, Institute Of Geophysics PAS, Mona, Luciaet al.
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Belsk, Poland. Level 3 climatological datasets are obtained as aggregated products from the…
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Belsk, Poland. Level 3 climatological datasets are obtained as aggregated products from the ACTRIS/EARLINET fully quality controlled (QC) aerosol optical products (i.e. Level 2 products). In particular, this release considers only data fully compliant to the ACTRIS/EARLINET QC procedure v4.0 [https://earlinet.eu/wp-content/uploads/2025/03/EARLINET_QC_v4_0_20250225.pdf].
Two types of data are released: profile values and integrated quantities. For each type of data, four different temporal aggregations are provided: seasonal, annual, normal seasonal, normal monthly.
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Andøya, Norway. Level 3 climatological datasets are obtained as aggregated products from th…
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Andøya, Norway. Level 3 climatological datasets are obtained as aggregated products from the ACTRIS/EARLINET fully quality controlled (QC) aerosol optical products (i.e. Level 2 products). In particular, this release considers only data fully compliant to the ACTRIS/EARLINET QC procedure v4.0 [https://earlinet.eu/wp-content/uploads/2025/03/EARLINET_QC_v4_0_20250225.pdf].
Two types of data are released: profile values and integrated quantities. For each type of data, four different temporal aggregations are provided: seasonal, annual, normal seasonal, normal monthly.
ACTRIS/EARLINET Level 3 2000-2021 climatological dataset over Clermont-Ferrand, France
October, 2026 • Dataset
Freville, Patrick, Université Clermont Auvergne-Observatoire De Physique Du Globe, Centre National De La Recherche Scientifique, Mona, Lucia, Marra, Fabrizioet al.
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Clermont-Ferrand, France. Level 3 climatological datasets are obtained as aggregated produc…
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Clermont-Ferrand, France. Level 3 climatological datasets are obtained as aggregated products from the ACTRIS/EARLINET fully quality controlled (QC) aerosol optical products (i.e. Level 2 products). In particular, this release considers only data fully compliant to the ACTRIS/EARLINET QC procedure v4.0 [https://earlinet.eu/wp-content/uploads/2025/03/EARLINET_QC_v4_0_20250225.pdf].
Two types of data are released: profile values and integrated quantities. For each type of data, four different temporal aggregations are provided: seasonal, annual, normal seasonal, normal monthly.
ACTRIS/EARLINET Level 3 2000-2021 climatological dataset over L'Aquila, Italy
October, 2026 • Dataset
Rizi, Vincenzo, Iarlori, Marco, Università degli studi dell'Aquila (UNIVAQ), Mona, Lucia, Marra, Fabrizioet al.
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in L'Aquila, Italy. Level 3 climatological datasets are obtained as aggregated products from t…
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in L'Aquila, Italy. Level 3 climatological datasets are obtained as aggregated products from the ACTRIS/EARLINET fully quality controlled (QC) aerosol optical products (i.e. Level 2 products). In particular, this release considers only data fully compliant to the ACTRIS/EARLINET QC procedure v4.0 [https://earlinet.eu/wp-content/uploads/2025/03/EARLINET_QC_v4_0_20250225.pdf].
Two types of data are released: profile values and integrated quantities. For each type of data, four different temporal aggregations are provided: seasonal, annual, normal seasonal, normal monthly.
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Potenza, Italy. Level 3 climatological datasets are obtained as aggregated products from th…
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Potenza, Italy. Level 3 climatological datasets are obtained as aggregated products from the ACTRIS/EARLINET fully quality controlled (QC) aerosol optical products (i.e. Level 2 products). In particular, this release considers only data fully compliant to the ACTRIS/EARLINET QC procedure v4.0 [https://earlinet.eu/wp-content/uploads/2025/03/EARLINET_QC_v4_0_20250225.pdf].
Two types of data are released: profile values and integrated quantities. For each type of data, four different temporal aggregations are provided: seasonal, annual, normal seasonal, normal monthly.
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Dushanbe, Tajikistan. Level 3 climatological datasets are obtained as aggregated products f…
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Dushanbe, Tajikistan. Level 3 climatological datasets are obtained as aggregated products from the ACTRIS/EARLINET fully quality controlled (QC) aerosol optical products (i.e. Level 2 products). In particular, this release considers only data fully compliant to the ACTRIS/EARLINET QC procedure v4.0 [https://earlinet.eu/wp-content/uploads/2025/03/EARLINET_QC_v4_0_20250225.pdf].
Two types of data are released: profile values and integrated quantities. For each type of data, four different temporal aggregations are provided: seasonal, annual, normal seasonal, normal monthly.
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Kuopio, Finland. Level 3 climatological datasets are obtained as aggregated products from t…
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Kuopio, Finland. Level 3 climatological datasets are obtained as aggregated products from the ACTRIS/EARLINET fully quality controlled (QC) aerosol optical products (i.e. Level 2 products). In particular, this release considers only data fully compliant to the ACTRIS/EARLINET QC procedure v4.0 [https://earlinet.eu/wp-content/uploads/2025/03/EARLINET_QC_v4_0_20250225.pdf].
Two types of data are released: profile values and integrated quantities. For each type of data, four different temporal aggregations are provided: seasonal, annual, normal seasonal, normal monthly.
ACTRIS/EARLINET Level 3 2000-2021 climatological dataset over Bucharest, Romania
October, 2026 • Dataset
Nicolae, Doina, Belegante, Livio, Radu, Cristian, Pirloaga, Rarzvan, National Institute Of Research And Development For Optoelectronicset al.
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Bucharest, Romania. Level 3 climatological datasets are obtained as aggregated products fro…
This dataset provides climatological aggregation of aerosol remote sensing data over 22 years (2000-2021) in Bucharest, Romania. Level 3 climatological datasets are obtained as aggregated products from the ACTRIS/EARLINET fully quality controlled (QC) aerosol optical products (i.e. Level 2 products). In particular, this release considers only data fully compliant to the ACTRIS/EARLINET QC procedure v4.0 [https://earlinet.eu/wp-content/uploads/2025/03/EARLINET_QC_v4_0_20250225.pdf].
Two types of data are released: profile values and integrated quantities. For each type of data, four different temporal aggregations are provided: seasonal, annual, normal seasonal, normal monthly.
Reproducibility Code for "When Does a Pathway Score Preserve a Mediated Effect? Aggregation Geometry, Minimax Adequacy, and Gap Inference for High-Dimensional Mediation"
October, 2026 • Software
Hait, Subir
Version 1.0.2 of the R reproducibility code and frozen reference results accompanying the manuscript "When Does a Pathway Score Preserve a Mediated Effect? Aggregation Geometry, Minimax Adequacy, and …
Version 1.0.2 of the R reproducibility code and frozen reference results accompanying the manuscript "When Does a Pathway Score Preserve a Mediated Effect? Aggregation Geometry, Minimax Adequacy, and Gap Inference for High-Dimensional Mediation". The repository reproduces the analysis from the processed TCGA LUAD stage-1 object onward, including simulations, the empirical application, genome-wide audit, independent cross-screened audit, figure generation, and 48-check numerical verification. Raw and processed patient-level TCGA data are not redistributed.
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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