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1,644 results for “italian”

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dryad36/100

Data for: Body mass mediates spatio-temporal responses of mammals to human frequentation across Italian protected areas

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publicMar 2024View details →
dryad36/100

Data from: Beyond population size: Whole-genome data reveal bottleneck legacies in the peninsular Italian wolf

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publicAug 2024View details →
dryad36/100

Back into the past: Resurveying random plots to track community changes in Italian coastal dunes

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publicOct 2020View details →
dryad36/100

Reconstructing hotspots of genetic diversity from glacial refugia and subsequent dispersal in Italian common toads (Bufo bufo)

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publicDec 2020View details →
dryad36/100

Data cleaning and enrichment through data integration: networking the Italian academia

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publicJan 2025View details →
zenodo32/100

Italian Three-Toed Skink (Chalcides Chalcides) lizard brain illustration

<p>3D model of the Italian Thre-Toed Skink lizard brain highlighting the anatomy and the spatial arrangement of its major subdivisions.</p> <p>The brain reconstruction was obtained from a microCT scan of a iodine-stained specimen through manual segmentation using the software Amira 5.5.0.</p> <p>Other illustrations can be found <strong><a href="https://zenodo.org/search?page=1&amp;size=20&amp;q=keywords:%22squamate%20brain%22">here</a></strong>.</p> <p><em>If you are interested in reptile brain evolution and behavior, please, have a look to our recent publication:</em></p> <p><a href="https://www.nature.com/articles/s41467-019-13405-w"><em><strong>&quot;Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization&quot;</strong></em></a></p> <p><strong>Simone Macr&igrave;, Yoland Savriama, Imran Khan &amp; Nicolas Di-Po&iuml;</strong></p> <p><em>Nature Communications</em> <strong>10, </strong>5560 (2019)</p> <p>&nbsp;</p> <p><em>Check out also our *4K* video collection of various snake and lizard 3D brains:</em></p> <p><strong><a href="https://www.youtube.com/playlist?list=PLgx4vtT32C8hqxG_icKiuXGtZVLVX-oG1">Snake and Lizard brain reconstructions video collection</a></strong></p> <p>&nbsp;</p> <p>For any inquiries or additional information, please, refer to the contacts provided in the <strong><a href="https://www.nature.com/articles/s41467-019-13405-w">article</a></strong>.</p>

opencc-by-nc-nd-4.0Jan 2020View details →
zenodo32/100

FIGURES 25–31. Figures 25–28. Rhyacophila spp., 5 in The larva of Rhyacophila hartigi Malicky 1971, including a discriminatory matrix to the Italian Rhyacophila larvae with tufted multifilament gills (Rhyacophilidae, Trichoptera)

FIGURES 25–31. Figures 25–28. Rhyacophila spp., 5th instar larvae, frontocylpeal apotomes. 25, R. dorsalis (Curtis 1834); 26, R. simulatrix simulatrix McLachlan 1879; 27, R. fasciata fasciata Hagen 1859; 28, R. foliacea Moretti 1981 (redrawn from Moretti 1983). Figures 29–31. Rhyacophila spp., 5th instar larvae, right pronotal sclerites, right lateral. 29, R. fasciata fasciata Hagen 1859; 30, R. pascoei McLachlan 1879 (redrawn from Kachalova 1969); 31, R. vulgaris Pictet 1834. Scale bars: 0.5 mm.

opennotspecifiedFeb 2020View details →
zenodo32/100

FIGURE 5. Iphinoe daphne n in The cumacean genus Iphinoe (Crustacea: Peracarida) from Italian waters and I. daphne n. sp. from the northwestern Adriatic Sea, Mediterranean

FIGURE 5. Iphinoe daphne n. sp. Paratype adult female, MZB1009. A, carapace lateral view; B, third maxilliped; C, first pereopod; D, second pereopod; E, uropods. Scale bars: a: 1 mm; b,c,e: 500 µm; d: 200 µm.

opennotspecifiedApr 2020View details →
zenodo32/100

FIGURE 4 in The cumacean genus Iphinoe (Crustacea: Peracarida) from Italian waters and I. daphne n. sp. from the northwestern Adriatic Sea, Mediterranean

FIGURE 4. Sternal process of Iphinoe daphne n. sp. Holotype adult male MZB1008. Scale bars: A: 500 µm; 100 µm.

opennotspecifiedApr 2020View details →
zenodo32/100

FIGURE 3. Iphinoe daphne n in The cumacean genus Iphinoe (Crustacea: Peracarida) from Italian waters and I. daphne n. sp. from the northwestern Adriatic Sea, Mediterranean

FIGURE 3. Iphinoe daphne n. sp. Holotype adult male MZB1008. A, maxilla 2; B, maxilliped 2; C, maxilliped 3; D, antenna 2; E, third pereopod; F, pereopod; G, pereopod; H, mandible; I, first maxilla; L, labium. Scale bars: a,h,i: 100 µm; b,c,d: 200 µm; e,f,g: 300 µm; l: 70 µm.

opennotspecifiedApr 2020View details →
zenodo32/100

Figure 4 in Domitius Culsu sp. nov. (Araneae, Nestici-dae), a new troglobiont spider from Italy with notes on Italian nesticids of the genus Domitius Ribera, 2018

Figure 4. Male palps of the Italian Domitius species for comparison. D. speluncarum male palp: A. ventral view; B. dorsal view; C. retrolateral view; D. menozzii male palp: D. ventral view; E. dorsal view; F. retrolateral view; D. sbordonii male palp: G. ventral view; H. dorsal view; I. retrolateral view.

opennotspecifiedJun 2020View details →
zenodo32/100

Figure 3 in Domitius Culsu sp. nov. (Araneae, Nestici-dae), a new troglobiont spider from Italy with notes on Italian nesticids of the genus Domitius Ribera, 2018

Figure 3. Habitus and type locality of Domitius culsu sp. nov. A. Habitus of male; B. habitus of female; C. female with prey; D. juvenile in captivity; E. entrance of Tana delle Fate di Coreglia Antelminelli cave; F. map of the cave and detail of the entrance, showing the spatial distribution of the two co-existing nesticid species living inside: green = D. culsu sp. nov., orange = Kryptonesticus eremita, arrow = en- trance of the cave.

opennotspecifiedJun 2020View details →
zenodo32/100

Figure 1 in Domitius Culsu sp. nov. (Araneae, Nestici-dae), a new troglobiont spider from Italy with notes on Italian nesticids of the genus Domitius Ribera, 2018

Figure 1. Nesticus culsu sp. nov. Male palp: A. ventral view; B. dorsal view; C. retrolateral view; D. female, cephalic region showing the eye pattern; E. epigyne, ventral view; F. epigyne after clearing, ventral view, the schematic course of internal ducts is outlined with a white line; G. vulva after clearing, dorsal view.

opennotspecifiedJun 2020View details →
zenodo32/100

Ontolex-lemon and TIAD versions of Apertium Catalan-Italian dictionary

<p>OntoLex-lemon and TSV&nbsp;conversion of Apertium Bidix. For more details, see&nbsp;<a href="https://www.aclweb.org/anthology/2020.lrec-1.401/">https://www.aclweb.org/anthology/2020.lrec-1.401/</a></p> <p>Authors of the original data:</p> 2011-2019, Hèctor Alòs i Font 2009-2018, Francis M. Tyers 2018, Marc Riera Irigoyen 2018, Sushain Cherivirala 2009-2014, Jim O'Regan 2013, Trond Trosterud 2012, Anthony J. Bentley 2010-2011, Carme Armentano-Oller 2010, Mireia Ginestí Rosell 2009-2010, Antonio Toral

opengpl-2.0-or-laterMar 2020View details →
zenodo32/100

Ontolex-lemon and TIAD versions of Apertium Sardinian-Italian dictionary

<p>OntoLex-lemon and TSV&nbsp;conversion of Apertium Bidix. For more details, see&nbsp;<a href="https://www.aclweb.org/anthology/2020.lrec-1.401/">https://www.aclweb.org/anthology/2020.lrec-1.401/</a></p> <p>Authors of the original data:</p> Copyright (C) 2016--2016 Francis Tyers Copyright (C) 2016--2017 Gianfranco Fronteddu Copyright (C) 2016--2017 Hèctor Alòs i Font

opengpl-2.0-or-laterMar 2020View details →
zenodo32/100

data set related to article Linking Sleep to Externalizing Behavioral Difficulties: A Longitudinal Psychometric Survey in a Cohort of Italian School-Age Children

<pre>This record contains raw data related to article Linking Sleep to Externalizing Behavioral Difficulties: A Longitudinal Psychometric Survey in a Cohort of Italian School-Age Children</pre>

opencc-by-4.0Sep 2020View details →
zenodo32/100

Impact of coronavirus disease 2019 (COVID-19) outbreak on radiology research: an Italian survey

<p>This article reports the results of a national survey, which had the purpose of understanding how COVID-19 pandemic has changed the scientific activity of Italian radiology researchers. A total of 327 Italian radiologists took part in the survey (mean age: 49&plusmn;12 years). The majority of participants (245/327, 74.9%) was not working for or in agreement with a University and most of them were hospital staff radiologists (222/327, 67.9%). More than two-thirds of surveyed radiologists (231/327, 71%) was working in a public institution, which mostly was a general hospital (188/327, 57.5%); 86/327 (26.3%) participants declared to work in a university hospital.&nbsp; After national lockdown, the working-flow came back to normal in the vast majority of cases (285/327, 87.2%). Participants reported that a total of 462 radiological trials were recruiting patients at their institutions prior to COVID-19 outbreak, of which 332 (71.9%) were stopped during the emergency. On the other hand, 252 radiological trials have been started during the pandemic, of which 156 were non-COVID-19 trials (61.9%) and 96 were focused on COVID-19 patients (38.2%). Participants reported a significant increase of the number of hours per week spent for research purposes during national lockdown (mean 4.5&plusmn;8.9 hours during lockdown vs. 3.3&plusmn;6.8 hours before lockdown; p=.046), followed by a significant drop after lockdown (3.2&plusmn;6.5 hours per week, p=.035). Notably, 60% of participants reported that they do not spend any time on research. During national lockdown, 15.6% of participants started new review articles and completed old papers, 14.1% completed old works, and 8.9% started new review articles. Ninety-six surveyed radiologists (29.3%) declared to have submitted at least one article during COVID-19 emergency. This study confirms the need to be prepared to future challenging scenarios like COVID-19 emergency in order to support radiology researchers, thereby allowing them to push forward their activity.</p>

opencc-by-4.0Oct 2020View details →
zenodo32/100

Seismic Velocity Model of P- and S-waves for the Italian Lithosphere

<p>P- and S- seismic waves 3D velocity model of the Italian Lithosphere obtained by linearized seismic local earthquake tomography (LET) method by <a href="https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/92JB00603">Zhao et al., 1992</a>.</p> <p>The inversion for the model parameters is performed using a combination of pseudo-bending and Snell&#39;s Law for ray tracing on a 3D grid of nodes on spherical coordinates and the LSQR algorithm by <a href="https://dl.acm.org/doi/10.1145/355984.355989">Page and Saunders, 1982</a>. The method allows to model first order seismic discontinuities like the Moho, for which the Moho for the Italian region by <a href="https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2011GC003649">Di Stefano et al., 2011</a>.</p> <p>A previous version of the same tomographic inversion was produced and discussed in <a href="https://www.sciencedirect.com/science/article/abs/pii/S0264370714001306?via%3Dihub">Di Stefano and Ciaccio, 2014</a> but not released in digital file format.</p> <p>The present file is an updated version&nbsp;of the model by&nbsp;<a href="https://www.sciencedirect.com/science/article/abs/pii/S0264370714001306?via%3Dihub">Di Stefano and Ciaccio, 2014</a>, based on a slightly different gridding but with the same P- and S- travel-times and earthquakes locations dataset.</p> <p>The model is here released&nbsp;in&nbsp;csv, pipe (|) separated, file.</p> <p><strong>Header Explanation</strong></p> <ul> <li><strong>lon</strong>: longitude in decimal degrees positive eastward from&nbsp;Greenwich</li> <li><strong>lat</strong>: latitude in decimal degrees positive northward</li> <li><strong>depth</strong>: depth in km positive downward</li> <li><strong>type</strong>: type of model parameter (vp= P-wave velocity; vs= S-wave velocity)</li> <li><strong>value</strong>: seismic velocity value</li> <li><strong>units</strong>: units measure of the velocity value</li> </ul> <p>The external bounding box of the model is:</p> <ul> <li>Minimum Longitude = 5&deg;E</li> <li>Maximum Longitude = 20&deg;E</li> <li>Minimum Latitude = 36&deg;N</li> <li>Maximum Latitude = 48&deg;N</li> <li>Minumum Depth = 0 km</li> <li>Maximum Depth = 80 km</li> </ul> <p>Lines 2 to&nbsp;43093 report the Vp model</p> <p>Lines&nbsp;43094 to&nbsp;86185 report the Vs model</p>

opencc-by-4.0Dec 2019View details →
zenodo32/100

Positive Emotion Dispositions and Emotion Regulation in the Italian Population

<p>Dataset of the Dispositional Positive Emotion Scale in the Italian population</p>

opencc-by-4.0Dec 2020View details →
dryad32/100

Genotypes of Italian free-ranging dogs

<p>Domestication has greatly changed the social and reproductive behavior of dogs relative to that of wild members of the genus <i>Canis,</i> which typically exhibit social monogamy and extended parental care. Unlike a typical grey wolf pack that consists of a single breeding pair and their offspring from multiple seasons, a group of free-ranging dogs (FRDs) can include multiple breeding individuals of both sexes. To understand the consequences of this shift in <span>reproductive behavior, </span>we reconstructed the genetic pedigree of an FRD population<span> and assessed the </span>kinship patterns in social groups, based on genome-wide SNP genotypes. Consistent with behavioral observations, the mating system of the study population was characterized by polygynandry. Instead of the discreet family units observed in wolves, FRDs were linked by a network of kinship relationships that spread across packs. However, we also observed reproduction of the same male-female pairs in multiple seasons, retention of adult offspring in natal packs and dispersal between neighboring packs – patterns in common with wolves. Although monogamy is the predominant mating system in wolves, polygyny and polyandry are occasionally observed in response to increased food availability. Thus, polygynandry of domestic dogs was likely influenced by the shift in ecological niche from an apex predator to a human commensal.</p>

opencc-zeroJan 2021View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record