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FIG. 1 in New record and description of the male gonopods of Paeduma cylindraceum (Bell, 1859) from the tropical eastern Pacific (Decapoda, Brachyura, Hexapodidae)
FIG. 1. — Paeduma cylindraceum (Bell, 1859), male (EMU-8270), CW 13.7 mm: A, dorsal view; B, ventral view; C, right first gonopod, ventral view; D, right second gonopod, ventral view, and dorsal view of tip. Scale bars: C, 1 mm; D, 0.5 mm.
FIG. 2 in Rediscovery of the holotype of Paeduma cylindraceum (Bell, 1859) and description of a new genus of Hexapodidae (Decapoda, Brachyura)
FIG. 2. — Paeduma cylindraceum (Bell, 1859), holotype ♂ 15.3 × 23.5 mm, dry, "Gallapagos [sic] Mr Cuming" (OUMNH 15693): A, frontal view; B, different views of thoracic sternum and abdomen; C, mxp3 and stridulating striae; D, proximal articles of left P4, with apodemal platelet; E, posterior view of thoracic sternum to show reduced sternite 8. Abbreviations: a.p., apodemal platelet; a1-a6, abdominal segments 1-6; bc, carapace border; bi, basis-ischion; c, carapace; cd, articular condyle of cx4 on thoracic sternite 7; co, constriction at level of abdominal somite 6; cx1-cx4, coxae of P1-P4; e4-e7, épisternites 4-7; m, merus; p, projection of sternite 4; s8, exposed portion of sternite 8; t, telson; 1-7, sternites 1-7; 4/5-6/7, thoracic sternal sutures 4/5-6/7. Scale bars: 2.5 mm.
FIG. 3 in Rediscovery of the holotype of Paeduma cylindraceum (Bell, 1859) and description of a new genus of Hexapodidae (Decapoda, Brachyura)
FIG. 3. — Stevea williamsi (Glassell, 1938), holotype ♂ 5.8 × 8.6 mm, San José, Guatemala (SDSNH No. 3940; ex Cat. No. 1158): A, dorsal view; B, ventral view; C, abdomen. Photographs by L. L. Lovell and W. A. Newman.
FIG. 4 in Rediscovery of the holotype of Paeduma cylindraceum (Bell, 1859) and description of a new genus of Hexapodidae (Decapoda, Brachyura)
FIG. 4. — Hexalaughlia?orientalis (Rathbun, 1909) n. comb., ♂ 5.5 × 8 mm, Japan, Albatross, stn 4964, 27.VIII.1906, 37 fms, det. Thaumastoplax orientalis (USNM 46392): A, mxp3 (flagellum of exopod not shown); B-D, different views of thoracic sternum and abdomen. Abbreviations: a1-a6, abdominal segments 1-6; c, carapace; cx1-cx4, coxae of P1-P4; e4-e7, épisternites 4-7; p, projection of sternite 4; s8, exposed portion of sternite 8; t, telson; 1-7, sternites 1-7; 4/5-6/7, thoracic sternal sutures 4/5-6/7. Scale bars: 2.5 mm.
BELL BEAKER DATA BASE FOR THE IBERIAN PENINSULA EASTERN FACADE
<p>This database is one of the data packagaes used in the making of the PhD dissertation "Connecting with the past: social networks in recent Prehistory".</p> <p>It contains information from all the Bell-Beaker vessels known, from a wide area (provinces of Valencia, Alicante, Castellón, Teruel, Almería y Murcia).</p> <p>It was made using Filemaker format, and is linked to a database with all the material culture present for the same area.</p>
Level Crossing Warning Bell (LCWB) Dataset
<p><strong>Acknowledgement</strong><br> These data are a product of a research activity conducted in the context of the <a href="https://rails-project.eu">RAILS (Roadmaps for AI integration in the raiL Sector)</a> project which has received funding from the Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement n. 881782 Rails. The JU receives support from the European Union’s Horizon 2020 research and innovation program and the Shift2Rail JU members other than the Union.</p> <p> </p> <p><strong>Disclaimers</strong><br> The information and views set out in this document are those of the author(s) and do not necessarily reflect the official opinion of Shift2Rail Joint Undertaking. The JU does not guarantee the accuracy of the data included in this document. Neither the JU nor any person acting on the JU’s behalf may be held responsible for the use which may be made of the information contained therein.</p> <p>This "dataset" has been created for scientific purposes only - and WITHOUT ANY COMMERCIAL purposes - to study the potentials of Deep Learning and Transfer Learning approaches. We are NOT re-distributing any video or audio; our files just contain pointers and indications needed to reproduce our study. The authors DO NOT ASSUME any responsibility for the use that other researchers or users will make of these data. </p> <p> </p> <p><strong>General Info</strong><br> The CSV files contained in this folder (and subfolders) compose the Level Crossing (LC) Warning Bell (WB) Dataset.</p> <p>When using any of these data, please mention:</p> <p>De Donato, L., Marrone, S., Flammini, F., Sansone, C., Vittorini, V., Nardone, R., Mazzariello, C., and Bernaudine, F., "Intelligent Detection of Warning Bells at Level Crossings through Deep Transfer Learning for Smarter Railway Maintenance", Engineering Applications of Artificial Intelligence, Elsevier, 2023</p> <p> </p> <p><strong>Content of the folder</strong><br> This folder contains the following subfolders and files.</p> <p>"<em>Data Files</em>" contains all the CSV files related to the data composing the LCWB Dataset:</p> <ul> <li><em>WB_data.csv</em> (<em>WB_labels.csv</em>): representing data of the "Warning Bell (WB)" class;</li> <li><em>NA_data.csv</em> (<em>NA_labels.csv</em>): representing data of the "No Alarm (NA)" class;</li> <li><em>GE_data.csv</em> (<em>GE_labels.csv</em>): representing data of the "GEneric alarm (GE)" class.</li> </ul> <p>"<em>LCWB Dataset</em>" contains all the JSON files that show how the aforementioned data have been distributed among training, validation, and test sets:</p> <ul> <li><em>IT_Distribution.json</em> and <em>UK_distribution.json</em> respectively show how Italian (IT) WBs and British (UK) WBs have been distributed;</li> <li>The same goes for <em>NA_Distribution.json</em> and <em>GE_Distribution.json,</em> which show the distribution of NA and GE data respectively;</li> <li><em>DatasetDistribution.json</em> simply incorporates the content of the aforementioned JSON files in a unique file that can be exploited to obtain exactly the same dataset we adopted in our analyses.</li> </ul> <p>"<em>Additional Files</em>" contains some CSV files related to data we adopted to further test the deep neural network leveraged in the aforementioned manuscript:</p> <ul> <li><em>FR_DE_data.csv</em> (<em>FR_DE_labels.csv</em>): representing data that have been used to test the generalisation performances of the network we exploited on LC WBs related to countries that were not considered in the training phase.</li> <li><em>Noises_data.csv</em> (<em>Noises_labels.csv</em>): representing the noises that were considered to study the behaviour of the network in case of noisy data.</li> </ul> <p> </p> <p><strong>CSV Files Structure</strong><br> Each<em> "</em>XX_labels.csv" file contains, for each entry, the following information:</p> <ul> <li>The identifier ("index") of the sub-class (which is not relevant in our case);</li> <li>The code-name ("mid") of the class, which is used in the "XX_data.csv" file to indicate the sub-class of a specific audio;</li> <li>The extended name of the class ("display_name").</li> </ul> <p>Worth mentioning, sub-classes do not have a specific purpose in our task. They have been kept to maintain as much as possible the structure of the "class_labels_indices.csv" file provided by <a href="https://research.google.com/audioset/">AudioSet</a>. The same applies to the "XX_data.csv" files, which have roughly the same structures of <a href="https://research.google.com/audioset/download.html">"Evaluation", "Balanced train", and "Unbalanced train" AudioSet CSV files</a>.</p> <p>Indeed, each<em> </em>"XX_data.csv" file contains, for each entry, the following information:</p> <ul> <li>ID: the identifier of the entry;</li> <li>YTID: the YouTube identifier of the video;</li> <li>start_seconds and end_seconds: which delimit the portion of audio (extracted from YTID) which is of interest for this task;</li> <li>positive_labels: the label(s) associated with the audio.</li> </ul> <p><br> <strong>Credits</strong><br> The structure of the CSV files contained in this dataset, as well as part of their content, was inspired by the CSV files composing the AudioSet dataset which is made available by Google Inc. under a <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International (CC BY 4.0)</a> license, while its ontology is available under a <a href="https://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)</a> license.</p> <p>Particularly, from AudioSet, we retrieved:</p> <ul> <li>The structure of the CSV files as discussed above.</li> <li>Data contained in <em>GE_data.csv</em> (which is a minimal portion of data made available by AudioSet) as well as the related 19 classes (in <em>GE_labels.csv</em>) which we selected among the hundreds of classes included in the <a href="https://research.google.com/audioset/ontology/index.html">AudioSet ontology</a>.</li> </ul> <p>Pointers contained in "XX_data.csv" files other than <em>GE_data.csv</em> have been retrieved manually from scratch. Then, the related "XX_labels.csv" files have been created consequently.</p> <p>More about downloading the AudioSet dataset can be found <a href="https://research.google.com/audioset/download.html">here</a>.</p>
Linking up Bell beakers in the Iberian Peninsula: Supplementary Material
<p>Many studies in complexity theory employ agent-based models whose interactions can be expressed as networks. In such models, the pattern of interactions between actors is crucial, and the network topology that emerges from the raw data can be characterized through many metrics. There is one tool that has been previously employed in Archaeology studies and has the potential to deal with networks in social contexts at different scales of analysis: social network analysis (SNA). This discipline has been applied successfully in wide range of archaeological problems, providing valuable insights and a different perspective. It also could be useful to provide quantification to concepts associated with social complexity, such as robustness, resilience, and edge-of-chaos threshold. In this work, we will propose some methodologic possibilities to approximate some of these concepts through SNA. In order to illustrate the process, we will present a case study from the Copper Age in the Iberian Peninsula: Bell beaker phase.</p>
"I made the recording because Iam an amateur recording engineer and also work for a radio station. At the time, Iwas researching for a religious programme, for the radio and by pure chance and good luck, Iwas in the centre of York at the time the street preacher was there. Iam building up a personal library of 'ambient sounds' to use on various radio shows as 'sound effects'. The recording was taken outside St Helen's Church in St Helen's Square, in the centre of York. There was a fairly large crowd walking about, shopping. It was a Saturday. Some people were standing and listening to the man, some were mocking him, others didn't even notice. It was a sunny day, with a slight wind. St Helen's square is a large 'meeting place' for people with seats, flowers and usually musicians. I live in the centre of York and hear a lot of very interesting sounds there, everything from busking musicians, to many foreign languages, church bells, animals and much more. Ireally liked the recording of the preacher as it is quite clear that he passionately believes what he is saying. He was unaware that Iwas recording him. Iwish Ihad captured his whole sermon. He, and other members of his church visit the centre of York quite often, and preach there. Idon't know the name of his church." [Jools/vedas]19 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"I made the recording because Iam an amateur recording engineer and also work for a radio station. At the time, Iwas researching for a religious programme, for the radio and by pure chance and good luck, Iwas in the centre of York at the time the street preacher was there. Iam building up a personal library of 'ambient sounds' to use on various radio shows as 'sound effects'. The recording was taken outside St Helen's Church in St Helen's Square, in the centre of York. There was a fairly large crowd walking about, shopping. It was a Saturday. Some people were standing and listening to the man, some were mocking him, others didn't even notice. It was a sunny day, with a slight wind. St Helen's square is a large 'meeting place' for people with seats, flowers and usually musicians. I live in the centre of York and hear a lot of very interesting sounds there, everything from busking musicians, to many foreign languages, church bells, animals and much more. Ireally liked the recording of the preacher as it is quite clear that he passionately believes what he is saying. He was unaware that Iwas recording him. Iwish Ihad captured his whole sermon. He, and other members of his church visit the centre of York quite often, and preach there. Idon't know the name of his church." [Jools/vedas]19
"I was on vacation in Mala, living in a self-catering holiday cottage, together with my girlfriend (we're together for 11 years now), recovering from a heavy workload in the second half of 2008. We were sitting outside, probably sipping a beer, when we heard the sound of bells approaching. Stepping on the stones that enclose the little forecourt of the cottage, we could just see the goat herd being driven by. Idashed for my R09 (recording equipment) to get that impression – but too slowly too late, it seemed, the herd had disappeared and with it the sound. When Iwas about to pack my R09 again the sound appeared to come back, so Idashed down the driveway, just in time to see the herd pass, and then Ifollowed it a couple of hundred meters, walking behind the herd, trying not to breathe or make stepping sounds, eventually, when dogs started barking and a car approached from behind, I stopped and let the goats go on, the car passes, honks ... and Icut the recording and walk back to the cottage." [Peter/ptroxler]13 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"I was on vacation in Mala, living in a self-catering holiday cottage, together with my girlfriend (we're together for 11 years now), recovering from a heavy workload in the second half of 2008. We were sitting outside, probably sipping a beer, when we heard the sound of bells approaching. Stepping on the stones that enclose the little forecourt of the cottage, we could just see the goat herd being driven by. Idashed for my R09 (recording equipment) to get that impression – but too slowly too late, it seemed, the herd had disappeared and with it the sound. When Iwas about to pack my R09 again the sound appeared to come back, so Idashed down the driveway, just in time to see the herd pass, and then Ifollowed it a couple of hundred meters, walking behind the herd, trying not to breathe or make stepping sounds, eventually, when dogs started barking and a car approached from behind, I stopped and let the goats go on, the car passes, honks ... and Icut the recording and walk back to the cottage." [Peter/ptroxler]13
The violation of Bell inequality in frustrated interference
Open the record for dataset details and reuse information.
FAMU_School_Bell
FAMU Old School Bell, located right in front of Carnegie Library of Black Archive, recognized as National Register of Historic Places. Source: Objaverse 1.0 / Sketchfab
Town crier's bell
Modern communication may be all about smart phones and technology, but in days gone by, it fell to town criers to relay the City's important news. This bell originates from the nineteenth century and has been rung countless times to alert local residents to incoming news. It continues to be used today for special events. Discover the [Ballarat Town Hall collection](http://www.hulballarat.org.au/cb_pages/rediscovering_town_hall_vaults.php) today. Source: Objaverse 1.0 / Sketchfab
Bell in Garden of Hamilton Cemetery Gatehouse
Scan captured on May 26, 2021 at https://w3w.co/herb.mystery.history Source: Objaverse 1.0 / Sketchfab
Chinese Bell
Chinese Bell, brass, 19th century, China. Musée du Cinquantenaire (Brussels, Belgium). Made with ReMake and ReCap from AutoDesk. For more updates, please follow @GeoffreyMarchal on Twitter. Source: Objaverse 1.0 / Sketchfab
Belt with bells
District Museum in Tarnów Inventory number: MT-E/3706 https://muzea.malopolska.pl/en/objects-list/1437 Source: Objaverse 1.0 / Sketchfab
Pair of bells
Inventory number: MT-E/3506/1-2 1990s, Bulgaria District Museum in Tarnów https://muzea.malopolska.pl/en/objects-list/1450 Source: Objaverse 1.0 / Sketchfab
Bell house
- Kleuber Cardoso - Curso Superior de Tecnologia em Jogos Digitais - PUC Minas - Disciplina: Modelagem de Objetos - Bell Source: Objaverse 1.0 / Sketchfab
Yong bell, late 6th-5th century BCE
Yong bell, late 6th-5th C BCE, now in the collection of the Minneapolis Institute of Art. From [artsmia.org](www.artsmia.org): *'When this bell was made, around 500 BCE, Chinese bells had already evolved over 800 years...This bell is called a yong, the quintessential bell type found in high-ranking late Zhou tombs. Unlike the bo type...it has an arch-shaped bottom, straight sides, cylindrical bosses, and a columnar shank (yong) with a loop suspension device that causes the bell to tilt toward the player rather than remain straight up and down. This permitted greater accuracy in striking than with vertically suspended bells—an important feature, since yong bells can emit two notes depending on whether they are struck in the center or midway to the side. The symmetrical group of bosses on each bell probably served to diminish the nonharmonic overtones emitted by the upper part of the bell, thereby emphasizing the fundamental notes.'* More [here](https://collections.artsmia.org/art/821/yong-bell-china) Source: Objaverse 1.0 / Sketchfab
Town Bell
Based on the Paul Revere style bells of the New England territories, particualarly the one in Salem, Massachusetts. This was part of an art test that wasn't meant to be. I did a lot of learning when it came to doing texture work in Substance, while it was also a good excuse to practice using Blender instead of Maya. Source: Objaverse 1.0 / Sketchfab
ROMAN RITUAL BELL - TARRACO
Roman ritual bell from the Site of Tarraco (Tarragona, Spain). Dated between the 2nd and 3rd centuries A.D. Bell for ritual use found in 1984 in the area of the Tarraco Colonial Forum. It bears an inscription, although its transcription is subject to controversy. The most recent proposal translates it as: ''Prayer. This youthful messenger bell from our land announces better times for the Senate and the Roman people. If the Augusts and the Roman people are well, Tarraco is happy''. **This 3D Model it's a Optimized model (Triangles: 54.9k) from original (Triangles: 924.2k) RETOPOLOGY / REPAINT** 3D Model Original : https://skfb.ly/6Ttoy ( GLOBAL DIGITAL HERITAGE) Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
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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.