Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
112
datasets available to search
ShareScore release 0.9.0
Dataset results
112 results for “Rome”
A Comprehensive Study of the Microclimate-Induced Conservation Risks in Hypogeal Sites: The Mithraeum of the Baths of Caracalla (Rome)
<p>The peculiar microclimate inside cultural hypogeal sites needs to be carefully investigated. This study presents a methodology that aimed at providing a user-friendly assessment of the frequently occurring hazards in such sites. A Risk Index was specifically defined as the percentage of time for which the hygrothermal values lie in ranges that are considered to be hazardous for conservation. An environmental monitoring campaign that was conducted over the past ten years inside the Mithraeum of the Baths of Caracalla (Rome) allowed for us to study the deterioration before and after a maintenance intervention. The general microclimate assessment and the specific conservation risk assessment were both carried out. The former made it possible to investigate the influence of the outdoor weather conditions on the indoor climate and estimate condensation and evaporation responsible for salts crystallisation/dissolution and bio-colonisation. The latter took hygrothermal conditions that were close to wall surfaces to analyse the data distribution on diagrams with critical curves of deliquescence salts, mould germination, and growth. The intervention mitigated the risk of efflorescence thanks to reduced evaporation, while promoting the risk of bioproliferation due to increased condensation. The Risk Index provided a quantitative measure of the individual risks and their synergism towards a more comprehensive understanding of the microclimate-induced risks.</p>
Implications of Handover Events in commercial 5G Non-Standalone Deployments in Rome
<p>Passive and active network measurements used for analysing the implications of Handover (HO) events inn commercial 5G Non-Standalone (NSA) deployments in Rome.</p> <p> </p> <p> </p>
STORM Project: monitoring environment conditions at Baths of Diocletian site (Rome, Italy). Dataset 2018 - 2019
<p>This dataset was created by the Engineering Ingegneria Informatica S.p.A. through a set of prototypes based on Libelium Waspmote for collecting the following parameters: </p> <ul> <li>Climate parameters (Temperature, Relative Humidity, Barometric Pressure, Luminosity, Wind direction/speed and Rainfull) using a Libelim PlugAndSense Agricolture Pro;</li> <li>Environmental Parameters (Monoxide Carbon, Oxigen, Air Polluction, Volatile Organic Compounds VOC, Carbon Dioxide, Nitric Dioxide , Hydrogen Sulfide, Sulfure Dioxide and Particle Matter PM 1, 2.5 and 10) using two nodes: PlugAndSense Smart Cities Pro and Waspmote with gases sensor board;</li> <li>Acoustic Noise Sensor and Vibrations with accelerometer, using a prototype based on Libelium Waspmote.</li> </ul> <p>The data produced by the sensors were acquired and sent to the Meshlium (mini-pc linux based) which automatically saved and sent to the STORM Platform. The dataset is composed of the data obtained from February 2018 to March 2019.</p> <p>STORM (Safeguarding Cultural Heritage through Technical and Organisational Resources Management) is a HORIZON 2020 funded European Union Cultural Heritage project that aims at the protection of Cultural Heritage through a combination of technical and organizational resources (http://www.storm-project.eu).</p>
Direct sun retrievals of nitrogen dioxide (NO2) total columns from Brewer #067, Rome, Italy (reprocessed with algorithm BNALG2)
<p>Cloud-screened and quality-filtered direct sun retrievals of nitrogen dioxide (NO2) vertical column densities (VCDs) derived from MkIV Brewer #067 measurements in Rome (wavelengths 425.02, 431.40, 437.35, 442.83, 448.08, and 453.20 nm) and processed using the Brewer Nitrogen Dioxide Algoritm BNALG2. Calibration is carried out with Bootstrap Estimation techniques. The values represent averages of 5 samples.</p> <p>In the latest version, days with obviously erroneous data (NO2 VCD > 99.9% percentile) have been removed.</p> <p>A detailed description of the method has been accepted as a research article by the ESSD journal (H. Diémoz et al., Advanced NO2 retrieval technique for the Brewer spectrophotometer applied to the 20-year record in Rome, Italy, Earth Syst. Sci. Data, 2021).</p>
NO2 Corrected Timeseries of AOD at 440,400 nm, Angstrom Exponent for Two Sites in Rome
<p>Dataset Created in the framework of QA4EO wp2360. Timeseries of AOD 440nm for AERONET stations SAP and ISAC in Rome, Italy, AOD 400nm for Skynet station in SAP and corresponding ånström exponents, corrected for Total NO2 effect, using PNG data. Time period 2017-2022</p>
Intrados of the dome of the Pantheon - Rome
<p>Survey of the intrados of the dome of the Pantheon in Rome, carried out by Graziano Mario Valenti in 2002, using a Cirax 3D Laser Scanner. Objectives and results of the research, produced at the time, are illustrated in the document present in the references.<br> File Up1 and Up2 - Oculus</p>
The administrative topography of Rome. Mapping administrative space and the spatial dynamics of Roman Republicanism
<p>This dataset contains the following figures:</p> <p><em>Table 1, The Radar Chart</em></p> <p><em>Map 1, ROME, 2nd CENTURY BCE</em></p> <p><em>Map 2, ROME, 1st CENTURY BCE</em></p> <p><em>Map 3, ROME, 1st CENTURY ACE</em></p> <p><em>Map 4, ROME, 2nd CENTURY ACE</em></p> <p><em>Map 5, ROME, 3rd CENTURY ACE</em></p>
Electricity demand Rome
<div> <div>The data represent the electricity consumption coming from a backbone of the energy supply network in the city of Rome. The time series is sampled every 10 minutes.</div> <div> </div> <div>The datatset has been originally presented in <a href="https://doi.org/10.1109/ACCESS.2015.2485943">Bianchi, Filippo Maria, et al. "Short-term electric load forecasting using echo state networks and PCA decomposition." <em>Ieee Access</em> 3 (2015)</a>.</div> </div>
Database of ASTI-Network Rome weather stations
<p>The database includes hourly data of the main meteorological parameters measured in the area of Rome (Italy) by 17 of the weather stations belonging to the ASTI-Network. The dataset also includes hourly data of Urban Heat Island (UHI) intensity, calculated using the imperviousness method [1], covering the time period of two summers (June, July, August, JJA) 2019 and 2020.</p> <p>The data are sampled by the sensors as 5-minute averages (except for precipitation, which is cumulative) and are subjected to a filtering process before being averaged to hourly resolution. The filtering process includes the following sequential steps: interference filter, climatic filter, temporal variation filter (of which spikes are a particular case), and spatial filter. Details on the implemented algorithms are provided in [1].</p> <p>The final hourly data are calculated taking the right edge, and the time zone adopted is Central European Time (UTC+1).</p> <p>The parameters available in the dataset include atmospheric pressure (relative and absolute), air temperature, relative humidity, wind speed, wind direction, wind gusts, rain rate, cumulative precipitation, dew point, and, where available, global radiation and UV index. More details about the variables and dataset formatting are provided in the file <em>‘README.txt’</em>.</p> <p>The file <em>‘Hourly_UHI.csv’</em> contains the UHI intensity, calculated using a linear fit between the measured temperatures (T) and the associated imperviousness (IMP, %) [1], for each time step, resulting in hourly resolution. Assuming the linear relationship T(IMP) = mIMP + q, the UHI intensity is given by 100m, and the corresponding column in the dataset is named <em>‘DT=100m’</em>. Additional columns provide statistical parameters and the average values across all stations for temperature, wind speed, rain rate, and cumulative precipitation. Further details are available in the file <em>‘README.txt’</em>.</p> <p>The file <em>‘metadata.csv’</em> contains metadata for each weather station, such as ID, coordinates, altitude, and associated imperviousness. Figure <em>'asti_network_sat.png' </em>shows their spatial distribution on 2d map.</p> <p>This dataset forms the basis of the paper <em>“Measuring the urban heat island of Rome through a dense weather station network and remote sensing imperviousness data”</em> published in December 2022 in the journal <em>Urban Climate</em> (<a href="https://doi.org/10.1016/j.uclim.2022.101355" target="_blank" rel="noopener">doi.org/10.1016/j.uclim.2022.101355</a>). It was also used for validating the numerical model developed within the LIFE-ASTI project.</p> <p>The ASTI-Network measurement network consists of rooftop weather stations and distributed throughout the city of Rome. It includes amateur stations from the Meteo Lazio network (<a href="https://meteoregionelazio.it" target="_blank" rel="noopener">meteoregionelazio.it</a>) and eight stations funded by the EU LIFE-ASTI project <em>"Implementation of a forecasting system for urban heat island effect for the development of urban adaptation strategy"</em> (LIFE17 CCA/GR/000108) and installed by the CNR-ISAC research team based in Rome.</p> <p><strong>Bibliography</strong></p> <p>1. Cecilia, A., Casasanta, G., Petenko, I., Conidi, A., Argentini, S. Measuring the urban heat island of Rome through a dense weather station network and remote sensing imperviousness data, Urban Climate 47 (01 2022).</p>
A Google Earth Engine code to analyze e visualize land surface temperature and thermal hot-spot patterns: a Rome (Italy) case study
<p>Link to the <strong>Google Earth Engine </strong>(GEE) code: <strong>https://code.earthengine.google.com/cc3ea6593574e321acd7b68c975a9608</strong></p> <p>You can analyze and visualize the following spatial layers by accessing the GEE link: </p> <ol> <li><strong>Daytime summer land surface temperature</strong> (raster data, 30 m horizontal resolution, from Landsat-8 remote sensing data, years 2017-2022)</li> <li><strong>The surface thermal hot-spot pattern </strong>(raster data,30 m horizontal resolution) was obtained by using a statistical-spatial method based on the Getis-Ord Gi* approach through the ArcGIS tool. </li> </ol> <p>Here attached the .txt file from the <strong>GEE code</strong>. </p> <p> </p> <p><em>E-mail</em></p> <p>Giulia Guerri, CNR-IBE, giulia.guerri@ibe.cnr.it</p> <p>Marco Morabito, CNR-IBE, marco.morabito@cnr.it</p> <p>Alfonso Crisci, CNR-IBE, alfonso.crisci@ibe.cnr.it</p>
Supplementary materials to: Hand gestures and the oratorical taskscape of Late Republican and Augustan Forum Romanum in Rome
<p>Supplementary materials to the article: "Hand gestures and the oratorical taskscape of Late Republican and Augustan Forum Romanum in Rome"<br><br>S1 - Virtual 3d Reconstruction of Forum Romanum, ca. 54 BCE used in the study</p> <p>S2 - Virtual 3d Reconstruction of Forum Romanum, ca. 27 BCE used in the study</p> <p>S3 - Virtual 3d Reconstruction of Forum Romanum, ca. 14 CE used in the study</p> <p>S4 - Parameters used in the Viewshed function in Exploratory 3D Analysis in the ArcGIS Pro 2.9</p> <div></div>
Fig. 1 in Some Neuroptera of the Horn of Africa from the Museum of Zoology of the University of Rome "La Sapienza" (Neuroptera: Chrysopidae, Mantispidae, Ascalaphidae, Myrmeleontidae)
Fig. 1 – Apertochrysa eurydera (Navás, 1910) [♀]: A, Left fore- and hindwings; B, IX tergite and ectoprocts (dorsal view); C, Callus cerci; D, Claw hind leg; E, Spermatheca (lateral view; F, Id. (ventral view); G, Subgenital (ventral view). – [Scale bars: 5 mm (Fig. A); 0.2 mm (Figs B, E-G); 0.1 mm (Figs C-D)].
Fig. 4 in Some Neuroptera of the Horn of Africa from the Museum of Zoology of the University of Rome "La Sapienza" (Neuroptera: Chrysopidae, Mantispidae, Ascalaphidae, Myrmeleontidae)
Fig. 4 – Stenares irroratus Navás, 1912 [♂]: A, Right fore- and hindwing; B, Front; C, Vertex, thorax (dorsal view); D, Ectoproct (lateral view); E, Subgenital plate (ventral view); F, Gonarcus-parameres complex (dorsal view); G, Id. (lateral view); H, Id. (ventral view). – [Scale bars: 10 mm (Fig. A); 5 mm (Figs B-D); 1 mm (Figs E-H)].
Fig. 3 in Some Neuroptera of the Horn of Africa from the Museum of Zoology of the University of Rome "La Sapienza" (Neuroptera: Chrysopidae, Mantispidae, Ascalaphidae, Myrmeleontidae)
Fig. 3 – Stenares completus Banks, 1915 [♂]: A, Right fore- and hindwing; B, Front; C, Vertex, thorax (dorsal view); D, Ectoproct (lateral view); E, Subgenital plate (ventral view); F, Gonarcus-parameres complex (dorsal view); G, Id. (lateral view); H, Id. (ventral view). – [Scale bars: 10 mm (Fig. A); 5 mm (Figs B-D); 1 mm (Figs E-H)].
Fig. 2 in Some Neuroptera of the Horn of Africa from the Museum of Zoology of the University of Rome "La Sapienza" (Neuroptera: Chrysopidae, Mantispidae, Ascalaphidae, Myrmeleontidae)
Fig. 2 – Gonarcus-parameres complex: A, Goniocercus reticulatus (lateral view), B, id. (caudal view); C, G. similis (lateral view), D. id. (caudal view); E, G. klugi (lateral view), F, id. (caudal view). – [Scale bar: 0.5 mm].
[FABSPACE2.0] - Sentinel-2 Rome True Color
<p>Sentinel-2 product over Rome Urban Area - RBG Natural Color Composite</p>
Dataset of tweets, used to detect hazardous events at the Baths of Diocletian site in Rome
<p>This dataset is composed by 276865 tweets, extracted from the Twitter stream, in the period from May 2018 to May 2019. Each element is characterized by the ID, that permits to retrieve the tweet from the stream, the text content, the GPS information (if it is provided or not), the localization, and the time. The last attribute of the elements of the dataset is the label associated to the tweet after the process of event detection. If the tweet has been identified as containing useful information of an hazardous event at the Baths of Diocletian site in Rome, the last attribute (Generated Useful Info at BOD) is "yes", otherwise its value is "no".</p>
Our Mythical History: Children's and Young Adults' Culture in Response to the Heritage of Ancient Greece and Rome
<p>A short movie from the international conference <strong><em>Our Mythical History: Children’s and Young Adults’ Culture in Response to the Heritage of Ancient Greece and Rome </em></strong>held at the Faculty of "Artes Liberales", University of Warsaw, May 22-26, 2019</p> <p>available at <a href="https://www.youtube.com/watch?v=jVeEjWSCXD8">https://www.youtube.com/watch?v=jVeEjWSCXD8</a> </p> <p>Music: <em>Brave </em>by WildKitty Tunes, Video: Mirosław Kaźmierczak, Coordination: Katarzyna Marciniak</p> <p>Art works used in the movie: Matylda Tracewska, Zbigniew Karaszewski</p>
Linked collectors and determiners for: Royal Ontario Museum - Entomology (ROME).
Natural history specimen data linked to collectors and determiners held within, "Royal Ontario Museum - Entomology (ROME)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/71315e6b-727f-4e71-91db-8823fe06ba22">https://bionomia.net/dataset/71315e6b-727f-4e71-91db-8823fe06ba22</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/71315e6b-727f-4e71-91db-8823fe06ba22">https://gbif.org/dataset/71315e6b-727f-4e71-91db-8823fe06ba22</a>. Formatted as a Frictionless Data package.
Text-fig. 4. Known geographic distribution of Microtscoptini on a modern-day biome map (Arc-GIS feature TNC terrestrial ecoregions). 1 – Ertemte 1 and 2; 2 – Olan Chorea; 3 – Harr Obo 2; 4 – Shala; 5 – Baogeda Ula; 6 – Bilutu; 7 – Kholu (Southern Tuva); 8 – Sarayskoe (Olkhon Island); 9 – Hyargas-nuur; 10 – Petropavlovsk; 11 – Pavlodar; 12 – Akshauli; 13 – Selety 1A; 14 – Kedej 1A; 15 – Makovka; 16 – Cherevychne 3; 17 – Protopopovka 3; 18 – Verkhnya Krynytsa 2; 19 – Vasylivka 1; 20 – Lobkove; 21 – Rome; 22 – Bartlett Mountain; 23 – Bartlett Mountain (General); 24 – Juniper Creek; 25 – Little Valley; 26 – Stroud Claim; 27 – Kelley Road; 28 – Moonstone Formation; 29 – Lemoyne Quarry; 30 – Feltz Ranch; 31 – Cambridge; 32 – Rick Irwin Site; 33 – Rabbit Hole. 1–20, 30–32 – Steppe biomes, 21–29, 33 – xeric shrubland biomes. in Comments On The Age And Dispersal Of Microtoscoptini (Rodentia: Cricetidae)
Text-fig. 4. Known geographic distribution of Microtscoptini on a modern-day biome map (Arc-GIS feature TNC terrestrial ecoregions). 1 – Ertemte 1 and 2; 2 – Olan Chorea; 3 – Harr Obo 2; 4 – Shala; 5 – Baogeda Ula; 6 – Bilutu; 7 – Kholu (Southern Tuva); 8 – Sarayskoe (Olkhon Island); 9 – Hyargas-nuur; 10 – Petropavlovsk; 11 – Pavlodar; 12 – Akshauli; 13 – Selety 1A; 14 – Kedej 1A; 15 – Makovka; 16 – Cherevychne 3; 17 – Protopopovka 3; 18 – Verkhnya Krynytsa 2; 19 – Vasylivka 1; 20 – Lobkove; 21 – Rome; 22 – Bartlett Mountain; 23 – Bartlett Mountain (General); 24 – Juniper Creek; 25 – Little Valley; 26 – Stroud Claim; 27 – Kelley Road; 28 – Moonstone Formation; 29 – Lemoyne Quarry; 30 – Feltz Ranch; 31 – Cambridge; 32 – Rick Irwin Site; 33 – Rabbit Hole. 1–20, 30–32 – Steppe biomes, 21–29, 33 – xeric shrubland biomes.
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
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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.