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The Open Aurignacian Project. Volume 2: Grotta di Castelcivita in southern Italy
<h2><strong>Overview</strong></h2> <p>The repository contains an extensive dataset (n = 538) comprising 3D meshes representing various classes of lithic artifacts such as cores, blades, bladelets, flakes, and retouched tools. These artifacts originate from the Protoaurignacian (<em>rsa'</em>) and Early Aurignacian (<em>gic</em>, <em>ars</em>) layers of Grotta di Castelcivita (40.49563600N, 015.20922177E) in southern Italy (Gambassini, 1997). The layers date back to approximately 41,000 to 39,800 years ago (Douka<em> et al.</em>, 2014). A new technological assessment of the <em>rsa’</em>–<em>ars </em>sequence has been conducted utilizing the models included in this repository (Falcucci et al., 2024). Grotta di Castelcivita holds significant importance for the study of Early Upper Paleolithic cultural dynamics due to its substantial archaeological content and the presence of the Campanian Ignimbrite geochronological marker, which seals the archaeological sequence of the site (Giaccio<em> et al.</em>, 2008).</p> <p>The 3D scanning of artifacts was performed using the first models of the Artec Space Spider and Artec Micro scanners from Artec Inc., Luxembourg. The scanning process adhered to best practices for lithic digitization (Göldner <em>et al.</em>, 2022), ensuring accurate capture of artifact details. 3D scanning with the Artec Spider follows the third version of the <em>Styrostone </em>protocol outlined by Göldner <em>et al.</em> (2023). For detailed information, please refer to Part 8 (Artec scanning of larger artifacts) of the protocol: <a href="dx.doi.org/10.17504/protocols.io.4r3l24d9qg1y/v3" rel="noopener">dx.doi.org/10.17504/protocols.io.4r3l24d9qg1y/v3</a>. 3D scanning with the Artec Micro follows the <em>Microstone </em>protocol by Falcucci (2022): <a href="dx.doi.org/10.17504/protocols.io.81wgb6781lpk/v1" rel="noopener">dx.doi.org/10.17504/protocols.io.81wgb6781lpk/v1</a>. The use of the Artec Micro was particularly valuable for digitizing extremely small lithics, such as retouched bladelets with lengths around 1 cm.</p> <p>The creation of this open-access repository is intended to encourage archaeologists to participate in collaborative initiatives, thereby contributing to the advancement of research in the field of lithic technology and facilitating broader access to the prehistoric record. This initiative aligns with the promotion of Open Science practices in archaeological sciences, as advocated by Marwick<em> et al.</em> (2017). This dataset is part of the <a href="https://www.armandofalcucci.com/project/open_aurignacian/">Open Aurignacian Project</a>.</p> <h2>Author contact</h2> <p>Dr. Armando Falcucci</p> <p>armando.falcucci@uni-tuebingen.de; falcucciarmando@gmail.com</p> <h2><strong>Description of the dataset</strong></h2> <p>This repository includes the following components:</p> <ol> <li><code>CTC_3D_Meshes.zip</code>:<strong> </strong>Compressed folder containing 3D models in PLY format for the lithic artifacts.</li> <li><code>Readme_Castelcivita_3D.txt</code>: This README file provides detailed information about the 3D models and metadata associated with this repository. It includes descriptions of the dataset's structure, the scanning and postprocessing protocols, and detailed metadata variables for the lithic artifacts, including scanning technology, resolution, and file formats. The file serves as a comprehensive guide to understanding the dataset and how to properly use and cite the data for research purposes.</li> <li><code>Castelcivita_3D_metadata.csv</code>:<strong> </strong>CSV file containing information, characteristics, and metadata of the lithic artifacts.</li> </ol> <p> </p> <p>The <code>Castelcivita_3D_metadata.csv</code> file includes the following metadata attributes:</p> <ul> <li><strong>ID:</strong> Each artifact has been assigned a unique identifier in the format "CTC" followed by a sequential number, allowing for cross-referencing with techno-typological data presented in related publications.</li> <li><strong>Site:</strong> The archaeological site where the lithic was excavated.</li> <li><strong>Layer: </strong>The stratigraphic origin of the lithic.</li> <li><strong>Raw_material:</strong> Categorization by the type of raw material (e.g., Chert, Radiolarite).</li> <li><strong>Class:</strong> Broad artifact sorting (e.g., Blank, Core, Core-Tool, Tool), following common classifications in lithic analysis. Cores are pieces of any size that lack a dorsal/ventral surface but have two or more blade/bladelet/flake scars. Tools are pieces of any size that exhibit retouch along the margins. Core-tools are pieces that have produced bladelets but can also be classified as tools (e.g., carinated endscrapers and burin cores) following a typological classification. Blanks are flaked pieces with both a dorsal and ventral face.</li> <li><strong>Blank: </strong>Classification of the blank into flake, blade, and bladelet categories. A blade is defined as a flaked blank whose length is at least twice its width, regardless of shape. Bladelets are defined as blades whose maximum width is less than 12 mm.</li> <li><strong>Technology: </strong>Technological classification of the blanks into categories such as initialization, maintenance, optimal, semi-cortical, and others, following Falcucci <em>et al. </em>(2020) and Falcucci <em>et al. </em>(2024).</li> <li><strong>Core_classification: </strong>Technological categories for cores and core-tools (e.g., Carinated, Multi-platform, Narrow-sided, Semicircumferential) following Falcucci & Peresani (2018).</li> <li><strong>Cortex: </strong>Percentage of cortex coverage (0%, 1–33%, 33–66%, 66–99%, 100%), estimated visually.</li> <li><strong>Preservation: </strong>Breakage classification for blanks (e.g., Complete, Distal, Mesial, Proximal, Undetermined). For cores and most core-tools, preservation is marked as "Other".</li> <li><strong>Volume:</strong> The volume of the artifact in cubic millimeters.</li> <li><strong>Surface: </strong>The surface area of the artifact in square millimeters.</li> <li><strong>Length: </strong>Maximum length in millimeters based on technological orientation, recorded with a digital caliper.</li> <li><strong>Width:</strong> Maximum width in millimeters based on technological orientation, recorded with a digital caliper.</li> <li><strong>Thickness:</strong> Maximum thickness in millimeters based on technological orientation, recorded with a digital caliper.</li> <li><strong>File_list: </strong>The list of files in the dataset that correspond to this specific ID.</li> <li><strong>Model_unit:</strong> The unit of measurement used for the 3D model. When viewing the artifact in a 3D viewer that supports real-world units, this is the unit you enter into your program to ensure proper scaling. Note that this is not related to the object's resolution; it's simply the value needed for accurate scaling when importing the model into your 3D program.</li> <li><strong>#_of_polygons:</strong> The number of polygons in the 3D model of the artifact.</li> <li><strong>Avg_edge_length(mm)/Resolution: </strong>The average distance between points on the model, serving as an effective measure of the model's resolution.</li> <li><strong>Resolution_score:</strong> A qualitative value assigned to each model, reflecting its resolution. Based on the entire set of scans from the Open Aurignacian Project, it classifies artifacts into four categories (i.e., ultra-detailed, detailed, moderate detail, low detail) based on their average edge length, providing an assessment of the model's resolution relative to others in the project.</li> <li><strong>Scanner: </strong>The specific model of the scanner used to capture the 3D data of the lithic artifact.</li> <li><strong>Scan_software:</strong> The version of the software used in conjunction with the scanner to capture the 3D data of the artifact.</li> <li><strong>Postprocessing_software:</strong> The version of the software used to execute postprocessing algorithms and generate the final 3D mesh of the artifact.</li> <li><strong>Coating: </strong>Yes/No entry speifying if coating was used for any scan.</li> </ul> <h2><strong>Research and Usage Notes</strong></h2> <p>Users are encouraged to consult the <a href="https://github.com/ArmandoFalcucci/Castelcivita-Aur-Techno">GitHub</a> and <a href="https://doi.org/10.5281/zenodo.10639552">Zenodo</a> repositories associated with the main publication on the Aurignacian sequence at Grotta di Castelcivita for further techno-typological data and analytical resources. This dataset is intended to foster open collaboration and reproducibility in lithic analysis, aligning with best practices in archaeological research.</p> <h2><strong>Licensing and Citation</strong></h2> <p>Please cite this repository and related publications when using this dataset in your research. Licensing details and citation formats are provided in the repository documentation.</p> <h2><strong>References</strong></h2> <p>Douka K., Higham T., Wood R.<em> et al.</em> (2014) On the chronology of the Uluzzian. <em>Journal of Human Evolution</em>, 68: 1-13. doi:10.1016/j.jhevol.2013.12.007</p> <p>Falcucci A. (2022) MicroStone: Exploring the capabilities of the Artec Micro in scanning stone tools. <em>protocols.io</em>. doi:<a href="https://dx.doi.org/10.17504/protocols.io.81wgb6781lpk/v1">https://dx.doi.org/10.17504/protocols.io.81wgb6781lpk/v1</a></p> <p>Falcucci A. & Peresani M. (2018) Protoaurignacian Core Reduction Procedures: Blade and Bladelet Technologies at Fumane Cave. Lithic Technology 43: 125-140. doi:10.1080/01977261.2018.1439681</p> <p>Falcucci A., Conard N.J. & Peresani M. (2020) Breaking through the Aquitaine frame: A re-evaluation on the significance of regional variants during the Aurignacian as seen from a key record in southern Europe. Journal of Anthropological Sciences, 98: 99-140. doi:https://doi.org/10.4436/JASS.98021</p> <p>Falcucci A., Arrighi S., Spagnolo V., Rossini M., Higgins O.A., Muttillo B., Martini I., Crezzini J., Boschin F., Ronchitelli A. & Moroni A. (2024) A pre-Campanian Ignimbrite techno-cultural shift in the Aurignacian sequence of Grotta di Castelcivita, southern Italy. Scientific Reports, 14: 12783. doi:10.1038/s41598-024-59896-6</p> <p>Gambassini P. (1997) <em>Il Paleolitico di Castelcivita: Culture e Ambiente</em>. Electa, Naples</p> <p>Giaccio B., Isaia R., Fedele F.G.<em> et al.</em> (2008) The Campanian Ignimbrite and Codola tephra layers: Two temporal/stratigraphic markers for the Early Upper Palaeolithic in southern Italy and eastern Europe. <em>Journal of Volcanology and Geothermal Research</em>, 177: 208-226. doi:<a href="https://doi.org/10.1016/j.jvolgeores.2007.10.007">https://doi.org/10.1016/j.jvolgeores.2007.10.007</a></p> <p>Göldner D., Karakostis F.A. & Falcucci A. (2022) Practical and technical aspects for the 3D scanning of lithic artefacts using micro-computed tomography techniques and laser light scanners for subsequent geometric morphometric analysis. Introducing the StyroStone protocol. PLoS One, 17: e0267163. doi:10.1371/journal.pone.0267163</p> <p>Göldner D., Karakostis F.A. & Falcucci A. (2023) <em>StyroStone</em>: A protocol for scanning and extracting three-dimensional meshes of stone artefacts using Micro-CT scanners V.3. protocols.io. <a href="dx.doi.org/10.17504/protocols.io.4r3l24d9qg1y/v3">dx.doi.org/10.17504/protocols.io.4r3l24d9qg1y/v3</a></p> <p>Marwick B., d’Alpoim Guedes J., Barton C.M.<em> et al.</em> (2017) Open science in archaeology. <em>SAA Archaeological Record</em>, 17: 8-14. doi:10.17605/OSF.IO/3D6XX</p>
Italy Southern Regions organic waste stream, Agricultural, Forest and Municipal Solid Waste, years 2018 and 2030
<p>Southern Italy regions agricultural residues (straw, pruning) quantification, years 2018 and 2030</p> <p>Souther Italy regions above ground annual forest increment, 2018 and 2030 technical and environmental contraints</p> <p>Souther Italy regions Municipal Solid Waste separation 2018, and 2030 minimum target EU waste Directive 2018/851</p>
Annotated checklist of the beetles of chestnut agroforestry systems in Aspromonte, Southern Italy
<p>The checklist contains 255 species of beetles which belong to 49 families. The species were collected during a field study carried out in the years 2017 and aimed at describing the community of beetles. The collection methods consisted of window flight traps. The study area included 3 sites, two coppice stands, young and mature (38.180221 N, 15.784308 E), and a traditional fruit orchard (38.06018 N, 15.781616 E), located in the Italian Southern Apennines on the borders of the Aspromonte National Park.</p> <p>The checklist is annotated with information on the taxonomy of the species (order and family), number of individuals, locality, habitat type (following EUNIS habitat classification 2017), sampling protocol, collector name, specialist name, IUCN Red List categories of the saproxylic species (Carpaneto et al. 2015). </p> <p>The terms used for the dataset fields follows the Darwin Core Maintenance Group. 2020. List of Darwin Core terms. Biodiversity Information Standards (TDWG). <a href="https://dwc.tdwg.org/list/">https://dwc.tdwg.org/list/</a></p> <p>The Diversity of saproxylic beetle communities have been analysed and published (Parisi et al. 2020).</p> <p>The harmonization of the dataset to the point of view of taxa, authorship, LSID and the massive upgrading of the related identifiers in Zenodo record was performed by the use of R script using respectively dplyr, taxize (Chamberlain and Szöcs, 2013) and zen4r (Blondel and Barde, 2020) packages.</p>
Dataset of Sentinel-1 surface soil moisture time series at 1 km resolution over Southern Italy
<p>The dataset consists of a time series of the Sentinel-1 (S-1) surface soil moisture (SSM) product at 1 km spatial resolution validated in Balenzano et al. (2021 a) over the Southern Italy. The specifications of the S-1 SSM product are provided in Balenzano et al. (2021 b). The SSM time series was obtained in correspondence of the ascending (RON A146) S-1 Interferometric Wide swath (IW) acquisition dates from January 2015 to December 2018 with a temporal gap between consecutive of 6 days (when both S-1A and S-1B data are available) or 12 days. On each date (183 in total), two co-registered layers are provided: mean SSM [m3/m3] and its standard deviation [m3/m3], which provides the SSM uncertainty. The retrieval algorithm is a time series short term change detection (STCD) that is implemented in the “Soil MOisture retrieval from multi-temporal SAR data” (SMOSAR) code (Balenzano et al. 2013).</p>
High-resolution earthquake catalog obtained through template-matching in the Southern Apennine (Italy)
<p>This is an enhanced, high-resolution earthquake catalog obtained through template-matching (TM). It covers the area of the Southern Apennines (Italy), for the period 2009-2014</p> <p>Starting from about 4000 events used as templates, TM allowed to detect the hidden, small-magnitude seismicity in the 0-1 magnitude range, allowing a significant decrease of the magnitude of completeness in the resulting earthquake catalog.</p> <p>The catalog contains:</p> <ul> <li>templates (events catalogued by INGV and used as templates)</li> <li>template-matching detections (i.e. newly detected events by TM)</li> <li>events catalogued by INGV that are also found through template-matching</li> </ul> <p>All events are located with the same 1-D velocity model obtained by averaging several models that have been proposed in the literature, covering different portion of the Southern Apennines. </p> <p><strong>DATA STRUCTURE</strong></p> <p><strong>id</strong>: id of event. Events detected by template-matching start with 'TM', otherwise the id is the same as in the official INGV catalog.</p> <p><strong>lon</strong>: longitude (degrees)</p> <p><strong>lat</strong>: latitude (degrees)</p> <p><strong>depth</strong>: depth in km</p> <p><strong>time</strong>: origin time</p> <p><strong>M_l</strong>: local magnitude</p> <p><strong>lon_error</strong>: error on longitude (degrees)</p> <p><strong>lat_error</strong>: error on latitude (degrees)</p> <p><strong>depth_error</strong>: error on depth (km)</p> <p><strong>RMS</strong>: root-mean-square (sec)</p> <p><strong>az_gap</strong>: azimuthal gap</p> <p><strong>n_phases</strong>: total number of P and S arrivals </p> <p><strong>n_stations</strong>: total number of station recording the event</p> <p><strong>mag_diff</strong>: difference in magnitude between detection and its template</p> <p><strong>dt</strong>: difference in origin time between template and detected event (sec)</p> <p><strong>templ_id</strong>: id of the template event</p> <p><strong>as_template</strong>: =1 if the event was used as template, 0 otherwise</p> <p><strong>matched_TM</strong> (for events already catalogued by INGV): =1 if the events matched a detection made by template matching, =0 otherwise</p> <p><strong>matched_BSI</strong>: ==id of the corresponding event catalogued by INGV. For newly detected events (thus never catalogued before) this field is 'NA'</p>
Research compendium for 'A pre-Campanian Ignimbrite techno-cultural shift in the Aurignacian sequence of Grotta di Castelcivita, southern Italy'
<h2><strong>Research compendium for 'A pre-Campanian Ignimbrite techno-cultural shift in the Aurignacian sequence of Grotta di Castelcivita, southern Italy' </strong></h2> <p><strong>Compendium DOI: </strong></p> <p><a href="https://doi.org/10.5281/zenodo.10639553">https://doi.org/</a><a href="../doi/10.5281/zenodo.10639552">10.5281/zenodo.10639552</a></p> <p>The content available at the above provided URL will reproduce the results as documented in the first paper's submission. Instead, the files hosted at <a href="https://github.com/ArmandoFalcucci/Castelcivita-Aur-Techno">https://github.com/ArmandoFalcucci/Castelcivita-Aur-Techno</a> represent the developmental versions and might have undergone modifications since the paper's publication.</p> <p><strong>Maintainer of this repository: </strong></p> <p>Armando Falcucci (<a href="mailto:armando.falcucci@uni-tuebingen.de">armando.falcucci@uni-tuebingen.de</a>; <a href="https://orcid.org/0000-0002-3255-1005">https://orcid.org/0000-0002-3255-1005</a>) </p> <p><strong>Published paper:</strong></p> <p>Armando Falcucci, Simona Arrighi, Vincenzo Spagnolo, Matteo Rossini, Owen Higgins, Brunella Muttillo, Ivan Martini, Jacopo Crezzini, Francesco Boschin, Annamaria Ronchitelli, Adriana Moroni. A pre-Campanian Ignimbrite techno-cultural shift in the Aurignacian sequence of Grotta di Castelcivita, southern Italy. <em>Scientific Reports</em>, 14: 12783. doi:10.1038/s41598-024-59896-6 (2024)</p> <p><strong>Abstract:</strong></p> <p>The Aurignacian is the first European technocomplex assigned to Homo sapiens recognized across a wide geographic extent. Although archaeologists have identified marked chrono-cultural shifts within the Aurignacian mostly by examining the techno-typological variations of stone and osseous tools, unraveling the underlying processes driving these changes remains a significant scientific challenge. Scholars have, for instance, hypothesized that the Campanian Ignimbrite (CI) super-eruption and the climatic deterioration associated with the onset of Heinrich Event 4 had a substantial impact on European foraging groups. The technological shift from the Protoaurignacian to the Early Aurignacian is regarded as an archaeological manifestation of adaptation to changing environments. However, some of the most crucial regions and stratigraphic sequences for testing these scenarios have been overlooked. In this study, we delve into the high-resolution stratigraphic sequence of Grotta di Castelcivita in southern Italy. Here, the Uluzzian is followed by three Aurignacian layers, sealed by the eruptive units of the CI. Employing a comprehensive range of quantitative methods—encompassing attribute analysis, 3D model analysis, and geometric morphometrics—we demonstrate that the key technological feature commonly associated with the Early Aurignacian developed well before the deposition of the CI tephra. Our study provides thus the first direct evidence that the volcanic super-eruption played no role in this cultural process. Furthermore, we show that local paleo-environmental proxies do not correlate with the identified patterns of cultural continuity and discontinuity. Consequently, we propose alternative research paths to explore the role of demography and regional trajectories in the development of the Upper Paleolithic.</p> <p><strong>Keywords:</strong></p> <p>Early Upper Paleolithic; Italy; Aurignacian; lithic technology; geometric morphometrics; 3D model analysis; cultural evolution; human-environment interaction; open science.</p> <p><strong>Overview of contents and how to reproduce:</strong></p> <p>Within this repository, various folders house data (<code>data</code>), code (<code>script</code>), and output files (<code>output</code>) pertinent to the paper. The data folder encompasses the complete dataset, the core dataset, and 2D outline coordinates utilized for the geometric morphometrics study. To replicate the results, download the entire repository and employ <code>Castelcivita-Aur-Techno.Rproj</code> and open the folder <code>script</code>, following the numbered folder structure. For ensuring reproducibility, the <code>renv</code> package (v. 1.0.3) was utilized, following the procedures detailed in its vignette. All analyses and visualizations in the paper were conducted using R 4.3.1 on Microsoft Windows 10.0.19045 (64-bit). As the necessary packages are available in the <code>renv</code> folder, they are not explicitly listed here.</p> <p><strong>Licenses:</strong></p> <p>Code: <strong>MIT </strong>(<a href="http://opensource.org/licenses/MIT">http://opensource.org/licenses/MIT),</a> copyright holder: Armando Falcucci (2024).</p> <p><strong>Data and intellectual work:</strong> Creative Commons Attribution 4.0 International License (<a href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</a>), copyright holder: the authors (2024).</p>
Lake Pertusillo reservoir induced seismicity catalog (Southern Italy)
<p>We present a detailed analysis of the small magnitude (M<sub>L</sub><3) Reservoir Induced Seismicity associated with the Pertusillo water reservoir located in the high seismic hazard zone of Val d’Agri (Southern Italy). </p> <p>We apply template-matching detection to a 13-month-long dense passive survey, obtaining a final high-precision double-difference catalog of 5,068 earthquakes (-0.7<M<sub>L</sub><2.6, M<sub>C</sub>=0.2). </p> <p>The original <em>template</em> dataset is composed of 408 hand-picked earthquakes, recorded during a 13-month-long (2005-2006) passive survey, at a dense network of 46 seismic stations (the average receiver spacing is 5 km) composed by: 22 temporary 3C continuously-recording stations of the temporary experiment described in <em>Valoroso et al.</em>, [2009], plus 24 permanent INGV and ENI (the local oil company) stations, and accurately located in a 3D high-resolution V<sub>P</sub> and V<sub>P</sub>/V<sub>S</sub> velocity model [<em>Improta et al.</em>, 2017]. </p> <p>The attached file is a plain text with a space as separator. </p> <p>Here below the header is explained.</p> <p><strong>ID: </strong>the unique event identifier</p> <p><strong>LAT</strong>: hypocenter latitude expressed in degrees </p> <p><strong>LONG</strong>: hypocenter longitude east of Greenwich, expressed in degrees</p> <p><strong>DEPTH</strong>: hypocenter depth expressed in km </p> <p><strong>OTIME: </strong>date of the origin time in the format YYYY-MM-DD[T]hh:mm:ss.msec</p> <p><strong>ML</strong>: magnitude (pure number)</p> <p> </p>
FIG. 2. — A, B in Two new oligohaline Hydrobia (s.l.) (Caenogastropoda) from the transitional Upper Oligocene Galatone Fm (Apulia, Southern Italy)
FIG. 2. — A, B, Hydrobia (s.l.) galatoniana n. sp., Galatone (Lecce, Apulia), Late Oligocene, paratype MPUR7-4198: A, apical view of the shell; B, detail of the protoconch; C, D, Hydrobia (s.l.) ionica n. sp., Galatone (Lecce, Apulia), Late Oligocene, paratype MPUR7-4199: C, apical view of the shell; D, detail of the protoconch. SEM image. Scale bars: A, C, 500 µm; B, D, 200 µm.
Fig. 15 in Morphological and molecular characterization of three new Parastenocarididae (Copepoda: Harpacticoida) from caves in Southern Italy
Fig. 15 (opposite page). Bayesian phylogram (95% majority rule consensus tree) of the investigated Parastenocarididae Chappuis, 1940 based on the 2090 bp fragment of the combined dataset including COI and 18S sequences. Bryocamptus (Rheocamptus) stillae Cottarelli & Bruno, 2012 and Bereraia sp. used as outgroups to root the tree. Node statistical support is reported as nodal posterior probabilities (Bayesian Inference of phylogeny, BI) / bootstrap values (Maximum Likelihood, ML). Asterisks indicate a bootstrap support value lower than 50.
Fig. 7 in Morphological and molecular characterization of three new Parastenocarididae (Copepoda: Harpacticoida) from caves in Southern Italy
Fig. 7. Cottarellicaris sanctiangeli Bruno & Cottarelli sp. nov., ♀ (NHMUK). a. Anal somite, anal operculum and caudal rami, dorsal view (variability). b. Anal somite, anal operculum and caudal rami, lateral view (variability). c. Rostrum, A1. d. P1, anterior view. e. P2, inner view. f. P3, posterior view. g. Coxa, basis, enp P3, inner view. h. P4, posterior view. i. Coxa, basis, enp P4, inner view (variability). a, c–i: Grotta Grotta Vucco Ucciardo; b: Grotta del Banco di ferro. Scale bar: 50 µm.
Fig. 5 in Morphological and molecular characterization of three new Parastenocarididae (Copepoda: Harpacticoida) from caves in Southern Italy
Fig. 5. Cottarellicaris sanctiangeli Bruno & Cottarelli sp. nov., ♂ (NHMUK). a. P1, coxa, basis and enp, inner view. b. P1, basis and exp, outer view. c. P2, posterior view. d. P3, anterior view. e. P3, posterior view (variability). f. P4, anterior view. g. P4, intercoxal sclerite, coxa, basis and enp, outer view. h. P4, posterior view. a, c, e, g: Grotta Vucco Ucciardo; b, h: Grotta del Banco di ferro; d, f: Grotta superiore di Sant'Angelo. Scale bar: 50 µm.
Fig. 4 in Morphological and molecular characterization of three new Parastenocarididae (Copepoda: Harpacticoida) from caves in Southern Italy
Fig. 4. Cottarellicaris sanctiangeli Bruno & Cottarelli sp. nov., ♂ (NHMUK). a. Rostrum and A1, ventral view. b. Rostrum and A1, ventral view. c. A1, disarticulated (antennular segments marked with Roman numerals). d. A2. e. Mdb. f. Mx1. g. Mx2. h. Mxp. a, e–g: Grotta Vucco Ucciardo; b–d, h: Grotta superiore di Sant'Angelo. Scale bar: 50 µm.
Fig. 14 in Morphological and molecular characterization of three new Parastenocarididae (Copepoda: Harpacticoida) from caves in Southern Italy
Fig. 14. Proserpinicaris specincola Bruno & Cottarelli sp. nov., ♀ (NHMUK). a. Rostrum and A1. b. P2 coxa, basis and exp, outer view. c. P2, enp. d. P3, basis and exp, outer view. e. P3, enp. f. P4, basis and exp, outer view. g. P4, enp. h. P4 coxa, basis and first exopodal segment, and enp, inner view. i. P5. j. P5, P6, genital double-somite and genital field, ventral view. Scale bar: 50 µm.
FIGURE 3. A in Steinernema apuliae sp. n. (Rhabditida: Steinernematidae): a new entomopathogenic nematode from southern Italy
FIGURE 3. A, SEM of first generation female of S. apuliae sp. n., head with 6 labial and 4 cephalic papillae; B, first generation female, Nomarski LM, tail with apical papillae or protuberance; C, SEM of first generation female, tail with apical papillae or protuberances; D, SEM of first generation female, lateral view of tail with conicallike tip and apical papilla or protuberance; E, second generation female, Nomarski LM, asymmetrical vulva; F, SEM of second generation female, asymmetrical vulva; G, SEM of second generation female, ventral view of tail with an apical protuberance; H, SEM of infective juvenile, lateral field with 8 identical ridges; I, infective juvenile, Nomarski LM, esophageal portion with excretory pore and hemizonid; L, infective juvenile, Nomarski LM, tail with hyaline portion.
FIGURE 2. A in Steinernema apuliae sp. n. (Rhabditida: Steinernematidae): a new entomopathogenic nematode from southern Italy
FIGURE 2. A, SEM second generation male of S. apuliae sp. n, dorsal view of posterior region of male and 2 pairs of adcloacal papillae (a and b), 3 pairs of papillae near tail tip; B, second generation male, Nomarski LM, esophagus and excretory pore; C, second generation male, Nomarski LM, mail tale with spicules and gubernaculum.
FIGURE 4 in Steinernema apuliae sp. n. (Rhabditida: Steinernematidae): a new entomopathogenic nematode from southern Italy
FIGURE 4. RFLP profiles for (A) Steinernema apuliae sp. n., (B) S. arenarium and (C) S. glaseri. M molecular weight markers (band sizes shown in base pairs); Sf, the ITS region from S. feltiae (UK site 76) digested with Alu I; lanes 1 to 17 the ITS region for each isolate digested with the following restriction enzymes; 1, Alu I; 2, BstO I; 3, Dde I; 4, EcoR I; 5, Hae III; 6, Hha I; 7, Hind III; 8, Hinf I; 9, Hpa II; 10, Kpn I; 11, Pst I; 12, Pvu II; 13, Rsa I; 14, Sal I; 15, Sau 3 A I; 16, Sau 96 I; 17, Xba I.
FIGURE 18. a – c in Bathyal Mollusca from the cold-water coral biotope of Santa Maria di Leuca (Apulian margin, southern Italy)
FIGURE 18. a – c: Turbonilla micans (Monterosato, 1875), sample BC 51, scale bars: 0.5 mm (a), 0.2 mm (b – c, protoconch); d – f: Graphis gracilis (Monterosato, 1874), sample BC 72, scale bars: 0.5 mm (d), 0.2 mm (e – f, protoconch); g – i: Crenilabium exile (Jeffreys, 1870), samples BC 67 (g) and BC 04 (h – i), scale bars: 2 mm (g), 0.2 mm (h – i, protoconch); j – l: Japonacteon pusillus (MacGillivray, 1843), sample BC 72, scale bars: 2 mm (j), 0.2 mm (k – l, protoconch); m – o: Callostracon thyrrenicum (Smriglio & Mariottini, 1996), sample BC 71, scale bars: 1 mm (m), 0.2 mm (n – o, protoconch).
FIGURE 19. a – b in Bathyal Mollusca from the cold-water coral biotope of Santa Maria di Leuca (Apulian margin, southern Italy)
FIGURE 19. a – b: Ringicula sp., sample BC 72, scale bars: 0.5 mm (a), 0.1 mm (b, protoconch); c – d: Diaphana globosa (Lovén, 1846), sample BC 05, scale bars: 1 mm (c), 0.2 mm (d, protoconch); e – f: Diaphana cf. lactea (Jeffreys, 1877), sample BC 05, scale bars: 1 mm (e), 0.2 mm (f, protoconch); g – j: Philine quadrata (Wood, 1839), samples BC 72 (g – h) and BC 05 (i – j), scale bars: 2 mm (g – h), 0.2 mm (i – j, protoconch); k – n: Philine scabra (Müller, 1784), sample BC 72, scale bars: 2 mm (k), 0.5 mm (l, juvenile), 0.2 mm (m – n, protoconch); o – q: Roxania monterosatoi Dautzenberg & Fischer, 1896, samples BC 67 (o) and BC 72 (p – q), scale bars: 1 mm (o), 0.5 mm (p, juvenile), 0.2 mm (q, protoconch).
FIGURE 17. a – c in Bathyal Mollusca from the cold-water coral biotope of Santa Maria di Leuca (Apulian margin, southern Italy)
FIGURE 17. a – c: Mathilda cochlaeformis Brugnone, 1873, samples BC 71 (a) and BC 66 (b – c), scale bars: 2 mm (a), 0.2 mm (b – c, protoconch); d – g: Mathilda coronata Monterosato, 1875, sample BC 71, scale bars: 2 mm (d), 0.2 mm (e – g, protoconch); h – j: Eulimella scillae (Scacchi, 1835), sample BC 72, scale bars: 1 mm (h), 0.2 mm (i – j, protoconch); k – m: Eulimella unifasciata (Forbes, 1844), sample BC 72, scale bars: 2 mm (k), 0.2 mm (l – m, protoconch); n – o: Chrysallida flexuosa (Monterosato, 1874), sample BC 67, scale bars: 0.5 mm (n), 0.2 mm (o, protoconch); p – r: Liostomia sp., sample BC 72, scale bars: 1 mm (p), 0.2 mm (q – r, protoconch).
FIGURE 16. a – c in Bathyal Mollusca from the cold-water coral biotope of Santa Maria di Leuca (Apulian margin, southern Italy)
FIGURE 16. a – c: Pleurotomella gibbera Bouchet & Warén, 1980, sample BC 66, scale bars: 1 mm (a), 0.2 mm (b – c, protoconch); d – f: Discotectonica discus (Philippi, 1844), sample BC 72, scale bars: 2 mm (d – e), 0.2 mm (f, protoconch); g – h: Pseudomalaxis zanclaeus (Philippi, 1844), sample BC 72, scale bar 5 mm; i – k: Solatisonax alleryi (Seguenza, 1876), sample BC 72, scale bars: 2 mm (i – j), 0.2 mm (k, protoconch); l – n: Solatisonax bannocki (Melone & Taviani, 1980), sample BC 71, scale bars: 2 mm (l – m), 0.2 mm (n, protoconch); o – q: Spirolaxis centrifugus (Monterosato, 1890), sample BC 72, scale bars: 1 mm (o – p), 0.2 mm (q, protoconch).
ScienceDex guides
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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.
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.