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81 results for “Milan”
Fig. 3 in Odonata next-door: an updated check-list of two parks in the Northern Milan outskirt (Lombardy, Italy)
Fig. 3 - Trend of the overall species recorded at both parks (PNM as Nord Milano Park, GV as Grugnotorto-Villoresi Park).
Fig. 2 in Odonata next-door: an updated check-list of two parks in the Northern Milan outskirt (Lombardy, Italy)
Fig. 2 - Odonata communities in both parks (PNM as Nord Milano Park; GV as Grugnotorto-Villoresi Park) at the end of this work (2015). Numbers indicate the sum of species for each chorological group with the following abbreviation: AFR-EU = Afro-European; PAL-ES = Palearctic-Eurosibiric; PAL-Med = Palearctic-Mediterranean; PAL-SM = Palearctic-Submediterranean; PAL-W = West Palearctic.
Fig. 1 in Odonata next-door: an updated check-list of two parks in the Northern Milan outskirt (Lombardy, Italy)
Fig. 1 - Study area (Lombardy region, Northern Italy). Numbers in flags indicate wetlands: 1) Lago Nord Park; 2) S. Eusebio protected area; 3) Seveso River; 4) Bruzzano Lake; 5) Bresso-Leopardi Lake; 6) Bresso Lake (modified from www.d-maps.com and GeoPortale Regione Lombardia).
Milan Top Percentages by School
<p>JSON data related to top preferences on children food habits and physical activities (per school)</p>
Milan Top Percentages by Area
<p>JSON data related to top preferences on children food habits and physical activities (per Area)</p>
Milan Top Percentages by Postcode
<p>JSON data related to top preferences on children food habits and physical activities (per postcode)</p>
Milan Area Statistics
<p>JSON data related to average statistics on children food habits and physical activities (per Area)</p>
Measurement of bacterial concentration with FLUIDION ALERT System - Milan site
<p>The dataset includes data collected during the monitoring campaign in Milan in 2019 using ALERT and in 2021 campaign, using ALERT V2, and laboratory determinations, performed in the laboratories of CAP. </p> <p><br> From September 2019 to January 2020 the ALERT LAB was tested, and its outcomes were compared with laboratory determinations. Bacteriological analyses of wastewater samples were performed by the Fluidion ALERT Lab device and in the microbiological laboratory of the CAP Group. The monitoring campaign was implemented in Line 2 of the WWTP, where three different sampling points were selected:<br> • IN-BIO: Before biological treatment, performed with BIOFOR system;<br> • IN-UV: Before the UV disinfection treatment;<br> • OUT-UV: After the UV disinfection treatment (i.e., the final wastewater effluent).</p> <p>A lower number of samples was analysed also from the Line 1 of the WWTP. Sampling points were:<br> • IN-OXI: Before biological oxidation;<br> • IN-PAA: Before the disinfection treatment with peracetic acid;<br> • OUT-PAA: After the disinfection treatment with peracetic acid, corresponding to WWTP effluent.</p> <p> </p> <p>The ALERT V2 SYSTEM has been installed in Peschiera Borromeo WWTP from July 2021 to September 2021, and its outcomes were compared with laboratory determinations.</p> <p> </p>
General Milan Rastislav Stefanik
Statue of General Milan Rastislav Stefanik from park in Piestany, Slovakia. Source: Objaverse 1.0 / Sketchfab
Fig. 2 - The label for MSNM i12963 in Turriculate gastropods (Coelostylinidae) from the Esino limestone outcrop (Ladinian, Lombardy) of the Stoppani Collection housed at the Museo Civico di Storia Naturale, Milan (Italy)
Fig. 2 - The label for MSNM i12963, Nerinea megaspira, hand written by Stoppani.
PROCRAFT_Form A_Fiat CR32_Milan
<p>Information on Italian aircraft Fiat CR 32 - crashed in Italy (Kept in Volandia, Milan)</p>
Milan 1958-1962: Music Topography of a City (main dataset)
<p>This data set contains information about 8288 music performances held in Milan from 1958 to 1962. It was collected from the "shows of the day" page on Italian newspapers <em>Il Giorno </em>and <em>Il Corriere della Sera. </em>Its collection, analysis and visualization is part of the PhD research project "Milan 1958-1962: Music Topography of a City". <a href="https://musictopography.github.io/">Project website</a></p>
Milan, Stazione Centrale, Fountain in Art Deco
Fountain mask at the entrance of Stazione Centrale, MIlan, Italy Water flows from the mouth. Source: Objaverse 1.0 / Sketchfab
Herbarium of the University of Milan: The Sordelli Collection
<p><strong>Abstract</strong></p> <p>This dataset contains the Sordelli collection of the Herbarium of the University of Milan. Specimens (<em>exsiccata</em>) were collected between 1851 and 1911 in Milan and its province and in Como lowland.</p> <p><strong>Dataset content</strong></p> <p>The dataset is composed by 5686 images in JPEG format. Their dimensions are 6000x4000 pixels and the resolution is about 305 DPI. For further information about image acquisition and digitization, please refer to the publication below. <br> The dataset has been divided into 14 ZIP archives sized 4GB each approx, but the last one. The whole dataset is almost 52 GB.</p> <p>A subset made of 20 random images is provided as example material in the file "example_copies.zip".</p> <p>Both the main dataset and the example subset are provided with CSV files containing details about specimens. </p> <p><strong>Terms of use</strong></p> <p>The dataset is open access for scientific research and non-commercial purposes.<br> The authors require to acknowledge their work and, in case of scientific publication, to cite the following paper:</p> <p>Baratè, A., Caccianiga, M., Caporali, E., Ludovico, L.A., Pinto, S., Presti, G., Sala, E., Testa, A.: Preserving and Promoting the Herbarium of the University of Milan through Digital Technologies. In: Proceedings of Florence HeriTech 2020, IOP Conference Series: Materials Science and Engineering, vol. 949, pp. 012066-1–012066-9. IOP (2020).<br> ISSN: 1757-899X (online), 1757-8981 (print)</p>
Milan - Augustu Model
doc Source: Objaverse 1.0 / Sketchfab
MILAN project: raw images of deep sky objects captured with a Stellina observation station -- [2022-06]
<p>During the MILAN research project (MachIne Learning for AstroNomy), the research team uses Stellina observation stations to collect raw images of deep sky objects. </p> <p>The Stellina observation station has an apochromatic ED doublet with an aperture of 80 mm and a focal length of 400 mm - focal ratio of f/5. It is equipped with a Sony IMX 178 CMOS sensor with a resolution of 6.4 million pixels (3096 x 2080 pixels). An anti-pollution filter is placed in front of the camera sensor. The station also has a fully automated alt-azimuth mount: setup, object tracking and focusing are also automatic. Stellina also has an integrated field rotator that adapts to the target.</p> <p>Thus, the research team built a dataset that faithfully represents what can be obtained during classical Electronically Assisted Astronomy sessions in the Luxembourg Greater Region:<br> - targets: representative set of deep sky objects from the Messier and NGC catalogs during the period.<br> - type of targets: nebulaes, planetary nebula, galaxies, globular clusters, open clusters<br> - for each observation session: sub-frames of 10 seconds exposure time and total cumulative duration of ~15/30 minutes (depending of the target) -- bad sub-frames were not filtered.</p> <p>The dataset is composed of ZIP files -- and each zip file contain raw images in FITS format (Flexible Image Transport System): data come directly from the Sony IMX178 sensor of the Stellina observation station (no debayerisation and no post processing).</p> <p>This research was funded by the Luxembourg National Research Fund (FNR), grant reference 15872557.</p> <p>To refer to or to cite this work, please use: "Parisot, O., Hitzelberger, P., Bruneau, P., Krebs, G., Destruel, C., & Vandame, B. (2023). MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope. Data in Brief, 48, 109133."</p> <p> </p> <p>MILAN project team members: Olivier Parisot (LIST), Patrik Hitzelberger (LIST), Pierrick Bruneau (LIST), Gilles Krebs (VAONIS, Christophe Destruel (VAONIS).</p> <p>More information about the MILAN project: https://www.fnr.lu/results-2021-1-bridges-call/.</p> <p>More information about VAONIS instruments: https://vaonis.com/</p> <p>More information about Luxembourg of Science and Technology (LIST): https://www.list.lu/</p> <p>Data license for files: Attribution-NonCommercial-NoDerivatives 4.0 International</p> <p> </p>
MILAN project: raw images of deep sky objects captured with a Stellina observation station -- [2022-03]
<p>During the MILAN research project (MachIne Learning for AstroNomy), the research team uses Stellina observation stations to collect raw images of deep sky objects. </p> <p>The Stellina observation station has an apochromatic ED doublet with an aperture of 80 mm and a focal length of 400 mm - focal ratio of f/5. It is equipped with a Sony IMX 178 CMOS sensor with a resolution of 6.4 million pixels (3096 x 2080 pixels). An anti-pollution filter is placed in front of the camera sensor. The station also has a fully automated alt-azimuth mount: setup, object tracking and focusing are also automatic. Stellina also has an integrated field rotator that adapts to the target.</p> <p>Thus, the research team built a dataset that faithfully represents what can be obtained during classical Electronically Assisted Astronomy sessions in the Luxembourg Greater Region:<br> - targets: representative set of deep sky objects from the Messier and NGC catalogs during the period.<br> - type of targets: nebulaes, planetary nebula, galaxies, globular clusters, open clusters<br> - for each observation session: sub-frames of 10 seconds exposure time and total cumulative duration of ~15/30 minutes (depending of the target) -- bad sub-frames were not filtered.</p> <p>The dataset is composed of ZIP files -- and each zip file contain raw images in FITS format (Flexible Image Transport System): data come directly from the Sony IMX178 sensor of the Stellina observation station (no debayerisation and no post processing).</p> <p>This research was funded by the Luxembourg National Research Fund (FNR), grant reference 15872557.</p> <p>To refer to or to cite this work, please use: "Parisot, O., Hitzelberger, P., Bruneau, P., Krebs, G., Destruel, C., & Vandame, B. (2023). MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope. Data in Brief, 48, 109133."</p> <p> </p> <p>MILAN project team members: Olivier Parisot (LIST), Patrik Hitzelberger (LIST), Pierrick Bruneau (LIST), Gilles Krebs (VAONIS, Christophe Destruel (VAONIS).</p> <p>More information about the MILAN project: https://www.fnr.lu/results-2021-1-bridges-call/.</p> <p>More information about VAONIS instruments: https://vaonis.com/</p> <p>More information about Luxembourg of Science and Technology (LIST): https://www.list.lu/</p> <p>Data license for files: Attribution-NonCommercial-NoDerivatives 4.0 International</p> <p> </p>
MILAN project: raw images of deep sky objects captured with a Stellina observation station -- [2022-05]
<p>During the MILAN research project (MachIne Learning for AstroNomy), the research team uses Stellina observation stations to collect raw images of deep sky objects. </p> <p>The Stellina observation station has an apochromatic ED doublet with an aperture of 80 mm and a focal length of 400 mm - focal ratio of f/5. It is equipped with a Sony IMX 178 CMOS sensor with a resolution of 6.4 million pixels (3096 x 2080 pixels). An anti-pollution filter is placed in front of the camera sensor. The station also has a fully automated alt-azimuth mount: setup, object tracking and focusing are also automatic. Stellina also has an integrated field rotator that adapts to the target.</p> <p>Thus, the research team built a dataset that faithfully represents what can be obtained during classical Electronically Assisted Astronomy sessions in the Luxembourg Greater Region:<br> - targets: representative set of deep sky objects from the Messier and NGC catalogs during the period.<br> - type of targets: nebulaes, planetary nebula, galaxies, globular clusters, open clusters<br> - for each observation session: sub-frames of 10 seconds exposure time and total cumulative duration of ~15/30 minutes (depending of the target) -- bad sub-frames were not filtered.</p> <p>The dataset is composed of ZIP files -- and each zip file contain raw images in FITS format (Flexible Image Transport System): data come directly from the Sony IMX178 sensor of the Stellina observation station (no debayerisation and no post processing).</p> <p>This research was funded by the Luxembourg National Research Fund (FNR), grant reference 15872557.</p> <p>To refer to or to cite this work, please use: "Parisot, O., Hitzelberger, P., Bruneau, P., Krebs, G., Destruel, C., & Vandame, B. (2023). MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope. Data in Brief, 48, 109133."</p> <p> </p> <p>MILAN project team members: Olivier Parisot (LIST), Patrik Hitzelberger (LIST), Pierrick Bruneau (LIST), Gilles Krebs (VAONIS, Christophe Destruel (VAONIS).</p> <p>More information about the MILAN project: https://www.fnr.lu/results-2021-1-bridges-call/.</p> <p>More information about VAONIS instruments: https://vaonis.com/</p> <p>More information about Luxembourg of Science and Technology (LIST): https://www.list.lu/</p> <p>Data license for files: Attribution-NonCommercial-NoDerivatives 4.0 International</p> <p> </p>
MILAN project: raw images of deep sky objects captured with a Stellina observation station -- [2022-04]
<p>During the MILAN research project (MachIne Learning for AstroNomy), the research team uses Stellina observation stations to collect raw images of deep sky objects. </p> <p>The Stellina observation station has an apochromatic ED doublet with an aperture of 80 mm and a focal length of 400 mm - focal ratio of f/5. It is equipped with a Sony IMX 178 CMOS sensor with a resolution of 6.4 million pixels (3096 x 2080 pixels). An anti-pollution filter is placed in front of the camera sensor. The station also has a fully automated alt-azimuth mount: setup, object tracking and focusing are also automatic. Stellina also has an integrated field rotator that adapts to the target.</p> <p>Thus, the research team built a dataset that faithfully represents what can be obtained during classical Electronically Assisted Astronomy sessions in the Luxembourg Greater Region:<br> - targets: representative set of deep sky objects from the Messier and NGC catalogs during the period.<br> - type of targets: nebulaes, planetary nebula, galaxies, globular clusters, open clusters<br> - for each observation session: sub-frames of 10 seconds exposure time and total cumulative duration of ~15/30 minutes (depending of the target) -- bad sub-frames were not filtered.</p> <p>The dataset is composed of ZIP files -- and each zip file contain raw images in FITS format (Flexible Image Transport System): data come directly from the Sony IMX178 sensor of the Stellina observation station (no debayerisation and no post processing).</p> <p>This research was funded by the Luxembourg National Research Fund (FNR), grant reference 15872557.</p> <p>To refer to or to cite this work, please use: "Parisot, O., Hitzelberger, P., Bruneau, P., Krebs, G., Destruel, C., & Vandame, B. (2023). MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope. Data in Brief, 48, 109133."</p> <p> </p> <p>MILAN project team members: Olivier Parisot (LIST), Patrik Hitzelberger (LIST), Pierrick Bruneau (LIST), Gilles Krebs (VAONIS, Christophe Destruel (VAONIS).</p> <p>More information about the MILAN project: https://www.fnr.lu/results-2021-1-bridges-call/.</p> <p>More information about VAONIS instruments: https://vaonis.com/</p> <p>More information about Luxembourg of Science and Technology (LIST): https://www.list.lu/</p> <p>Data license for files: Attribution-NonCommercial-NoDerivatives 4.0 International</p> <p> </p>
MILAN project: raw images of deep sky objects captured with a Stellina observation station -- [2022-08]
<p>During the MILAN research project (MachIne Learning for AstroNomy), the research team uses Stellina observation stations to collect raw images of deep sky objects. </p> <p>The Stellina observation station has an apochromatic ED doublet with an aperture of 80 mm and a focal length of 400 mm - focal ratio of f/5. It is equipped with a Sony IMX 178 CMOS sensor with a resolution of 6.4 million pixels (3096 x 2080 pixels). An anti-pollution filter is placed in front of the camera sensor. The station also has a fully automated alt-azimuth mount: setup, object tracking and focusing are also automatic. Stellina also has an integrated field rotator that adapts to the target.</p> <p>Thus, the research team built a dataset that faithfully represents what can be obtained during classical Electronically Assisted Astronomy sessions in the Luxembourg Greater Region:<br> - targets: representative set of deep sky objects from the Messier / NGC / IC catalogs during the period.<br> - type of targets: nebulaes, planetary nebula, galaxies, globular clusters, open clusters<br> - for each observation session: sub-frames of 10 seconds exposure time and total cumulative duration of ~15/30 minutes (depending of the target) -- bad sub-frames were not filtered.</p> <p>The dataset is composed of ZIP files -- and each zip file contain raw images in FITS format (Flexible Image Transport System): data come directly from the Sony IMX178 sensor of the Stellina observation station (no debayerisation and no post processing).</p> <p>This research was funded by the Luxembourg National Research Fund (FNR), grant reference 15872557.</p> <p>To refer to or to cite this work, please use: "Parisot, O., Hitzelberger, P., Bruneau, P., Krebs, G., Destruel, C., & Vandame, B. (2023). MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope. Data in Brief, 48, 109133."</p> <p> </p> <p>MILAN project team members: Olivier Parisot (LIST), Patrik Hitzelberger (LIST), Pierrick Bruneau (LIST), Gilles Krebs (VAONIS, Christophe Destruel (VAONIS), Benoît Vandame (VAONIS).</p> <p>More information about the MILAN project: https://www.fnr.lu/results-2021-1-bridges-call/.</p> <p>More information about VAONIS instruments: https://vaonis.com</p> <p>More information about Luxembourg of Science and Technology (LIST): https://www.list.lu</p> <p>Data license for files: Attribution-NonCommercial-NoDerivatives 4.0 International</p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.