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Figure 5 from: Faulwetter S, Vasileiadou A, Kouratoras M, Dailianis T, Arvanitidis C (2013) Micro-computed tomography: Introducing new dimensions to taxonomy. ZooKeys 263: 1-45. https://doi.org/10.3897/zookeys.263.4261
Figure 5 - Eunice sp., false-colour volume renderings (colours indicate relative densities: blue: low, green: medium, red: high) of a iodine-stained specimen, ventral view b PTA-stained specimen, ventral view c false-colour volume rendering of virtually dissected maxillary apparatus (iodine-stained individual), dorso-lateral view.
Figure 13 from: Faulwetter S, Vasileiadou A, Kouratoras M, Dailianis T, Arvanitidis C (2013) Micro-computed tomography: Introducing new dimensions to taxonomy. ZooKeys 263: 1-45. https://doi.org/10.3897/zookeys.263.4261
Figure 13 - Syllis gracilis, cross sections, a coronal view showing prostomium, palps and posterior eye pair b transaxial view at level of pharyngeal opening, showing papillae around pharyngeal opening c dorsal view, pharyngeal opening and pharyngeal tooth. Double lines at borders of cirri are artefacts resulting from either movement of specimen during the scan or from settings during dataset reconstruction.
Figure 7 from: Faulwetter S, Vasileiadou A, Kouratoras M, Dailianis T, Arvanitidis C (2013) Micro-computed tomography: Introducing new dimensions to taxonomy. ZooKeys 263: 1-45. https://doi.org/10.3897/zookeys.263.4261
Figure 7 - Eunice roussaei, mid-body parapodium, a cross section through parapodial base b semi-transparent volume rendering c opaque volume rendering d volume rendering of chaetae.
Figure 16 from: Faulwetter S, Vasileiadou A, Kouratoras M, Dailianis T, Arvanitidis C (2013) Micro-computed tomography: Introducing new dimensions to taxonomy. ZooKeys 263: 1-45. https://doi.org/10.3897/zookeys.263.4261
Figure 16 - Diagram of the image acquisition process from the choice of method to the final presentation of the data, including factors influencing the outcome and information value of the results.
Facilitating Sensemaking in Computational Notebooks
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Experimental and computational data
<p>The data corresponding to the figures in the manuscript.</p>
Computed Semantic clues scores for Grafematik (Magistry & Goudin, 2022)
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Computational dataset, scripts and models for 'Lipid unsaturation promotes BAX and BAK pore activity during apoptosis'
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Dataset for "Narratives of religious dissidence in medieval inquisition records: computing the representation and sequencing of crimes in Peter Seila's register of sentences (1241–2)"
<p><strong>This dataset supports the under-review article "Narratives of religious dissidence in medieval inquisition records: computing the representation and sequencing of crimes in Peter Seila’s register of sentences (1241–2)".</strong><br><br>It is composed of three sheets, containing data derived from <strong>Peter Seila's register of inquisition sentences</strong> (Paris, Bibliothèque nationale de France, MS Doat 21, fols. 185r–324r).<br><br><strong>1. A table of all crimes</strong> ("crimes" sheet; n=3789) narrated in the summaries of guilt in textual order. </p> <ul> <li> <p>“crime_id": a unique identifier for each crime</p> </li> <li> <p>"suspect_id", "suspect_name": specifies the suspect i.e., the person in whose summary the crime appears</p> </li> <li> <p>"suspect_sex": records the sex of the suspect</p> </li> <li> <p>"region", "period": records the region and period in which the crime was recorded </p> </li> <li> <p>"crime_type": a variable based on the original Latin form/s of particular crime semantics; there are 143 such “crime types”, mostly describing various forms of contact with dissident ministers </p> </li> <li> <p>"crime_category": an analytical categorization (6 categories in total); based on the different forms of contact </p> </li> <li> <p>"dissident_minister_affiliation": a record of the sect affiliation of the crime, depending on the type of the dissident minister involved; "h" = heretici; "v" = valdenses, "b" = both, "u" = unaffiliated</p> </li> <li> <p>"recurrence": a recurrence category ("once", "multiple" or "being") capturing three levels of crime recurrence specification</p> </li> <li> <p>"aggravating_alleviating_circumstance": a record of any guilt contextualizaton ("aggravating", "alleviation" or "NA"), capturing whether there are any additional circumstances pertaining to guilt mentioned in the crime's narration</p> </li> <li> <p>"location_circumstance": a record ofwhether a location is specified in relation to the crime ("location" or "NA")</p> </li> <li> <p>"statement_text": the original text from which the coding of the crime derives</p> </li> </ul> <p><strong>2. A table of all individual summaries of guilt in the register</strong> ("summaries" sheet"; n=649). Each summary describes the guilt of one person. The 7 textual summaries in the source referring to two people have each been rendered as two individual summaries. Parts of the table are a projection of the “crimes” sheet. </p> <ul> <li> <p>"summary_id": a unique ID for each summary</p> </li> <li> <p>"suspect_id", "suspect_name": specifies the suspect of the summary</p> </li> <li> <p>"suspect_sex": records the sex of the suspect</p> </li> <li> <p>"region", "period": records the region and period in which the summary was recorded</p> </li> <li> <p>"crime_sequence": the sequence of crime types (individual crimes separated by spaces); derived from the data in the “crime_type” data in the ““crime” sheet, grouped by “suspect_id” and retaining textual order</p> </li> <li> <p>"sect_sequence": the sequence of crime sect affiliations (h = heretici; v = valdenses, b = both, u = unaffiliated); derived from the "dissident_minister_affiliation” data in the “crime” sheet, grouped by “suspect_id” and retaining textual order</p> </li> <li> <p>"recurrence_sequence": the sequence of crime recurrence categories ("once", "multiple" or "being" values separated by spaces); derived from the “recurrence” data in the “crime” sheet, grouped by “suspect_id” and retaining textual order</p> </li> <li> <p>"sequence_length": length of summary crime sequence (i.e., number of crimes within the summary)</p> </li> <li> <p>"crime_type_non-adjacent_reps", "seeing_and_seeking_non-adjacent_reps": the two types of non-adjacent crime repetitions defined in the article; derived from the sequence of crime types </p> </li> <li> <p>"narbonne_language_sequence": the rendering of the summary’s crime sequence in the crime language of the Narbonne Order interrogatory, performed in the manner described in the article</p> </li> <li> <p>“narbonne_number_sequence”: the rendering of the summary’s crime sequence as a series of numbers (separated by “_”) according to the place numbers of the associated crimes within the Narbonne Order interrogatory sequence</p> </li> <li> <p>"narbonne_conformity_index", "narbonne_conformity_index_vidit_segmented": the two types of Narbonne Order conformity index defined in the article</p> </li> </ul> <p><strong>3. A dictionary of the crime types found in the register</strong> ("crime_dictionary" sheet, n=143). </p> <ul> <li> <p>"crime_type": the crime type based on its Latin form/forms and meaning</p> </li> <li> <p>"crime_type_english": an English translation of the Latin crime type</p> </li> <li> <p>"crime_category": the crime category (out of 6 such categories) within which the crime type falls</p> </li> <li> <p>"crime_count": the count of each crime type within the register's summaries </p> </li> <li> <p>"narbonne_crime_equivalent": the Narbonne Order interrogatory crime to which we have associated it with for the purpose of the conformity analysis</p> </li> <li> <p>"narbonne_sequence_number": the place number (from 1 to 28) of the associated Narbonne Order interrogatory crime within the Narbonne Order interrogatory sequence</p> </li> </ul>
A Computer Graphics Approach to Creating New Method for Generating 3D Gesture Animations in Bangla Sign Language via HamNoSys to SiGML Conversion
<p>To prepare the system, we employed 94 classes of data. In this dataset, there are 13 Bangla numerical data classes, 36 Bangla alphabet data classes, and 41 Bangla word data classes. Every class of data contains different data types like Hand Shape, Hand Orientation, Hand Movement, Notations, etc. These data were created in SiGML tags. Every class of data is unique and different from others. The system was prepared using BdSL. And BdSL is an uncommon and unique sign language, among others. That's why every class of data is unique and created by us. We search HamNoSys notations for Bangla alphabets, words, and numbers in English HamNoSys datasets (almost 6,000 data). However, we find only 20% of the data, which is quite similar to BdSL. We create 80% HamNoSys notation for BdSL and we modify the matching 20% notations. Then, we converted them into SiGML and made the data classes. This was a big challenge in our research. </p>
Computational Chemistry and Machine Learning-assisted Screening of Supported Amorphous Metal Oxide Nanoclusters for Methane Activation
<p>Gaussian input and output files for reproducibility of the results.</p>
Computational Evidence for Bisartan Arginine Blockers as Next-Generation Pan-Antiviral Therapeutics Targeting SARS-CoV-2, Influenza, and Respiratory Syncytial Viruses (RawData)
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Computer Science Students Perceptions Regarding AI Open-Source Repositories Replication Package
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FIGURE 9 in Synchrotron-radiation computed tomography uncovers ecosystem functions of fly larvae in an Eocene forest
FIGURE 9. CT scans of the fecal matter in the AKBS-0030 amber piece. Fly larvae are marked with the arrows, while the rest objects in the matrix of the amber are the pieces of the fecal matter. A, lower part of amber piece; B, frontal view on the amber piece; C and D, close up on the plant remnants in the fecal matter. Abbreviations: ct - cuticle; ep - epiderma; ph- phloem; par- parenchyma; scl - sclerenchyma; xyl - xylem.
FIGURE 6 in Synchrotron-radiation computed tomography uncovers ecosystem functions of fly larvae in an Eocene forest
FIGURE 6. Larvae of the group Volucellini (Syrphidae) from the Baltic amber, renders of a SR-µCT scan. A-E, Dip- 00897; F-I, Dip-00896. A, lateral view, render of a SR-µCT scan; B, Head, sagittal slice, with internal head skeleton marked in orange; C, Cephalo-pharyngeal skeleton, dorsal view; D, same, lateral view; E, same, ventral view; F, lateral view; G, frontal slice, through the head and thorax; H, Lateral slice, with well visible oesophagus, mandible marked in orange; I, lateral slice through the head; mandible marked in orange. Abbreviations: hp - hypopharynx; mp - metacephalic plate; md - mandibular hooks; hd - head; an - antennae, es - esophagus.
FIGURE 3 in Synchrotron-radiation computed tomography uncovers ecosystem functions of fly larvae in an Eocene forest
FIGURE 3. Diversity of fly larvae in Baltic amber. Optical images. A, AKBS-0030, full amber piece, arrow is pointing to the location of the inset from Fig. 3B; B, Cyclorrhapha, morphotype 1 close-up; C, PED-230, Athericidae, dorsal view; D, Heleomyzidae, puparium, Dip-00890, dorsal view; E, Volucellini, Dip-00889, lateral; F, Dip-00898, Chamaemyiidae, head in dorsal view; G, Dip-00892, Cyclorrhapha, morphotype 2, lateral view; H, Dip-00888, Syrphidae, Volucellini lateral view; I, Dip-00896, Volucellini, lateral view.
FIGURE 1 in Synchrotron-radiation computed tomography uncovers ecosystem functions of fly larvae in an Eocene forest
FIGURE 1. Diversity of fly larvae in Baltic amber. A, B, PED-230, Athericidae. Fringed lobes on the trunk end. B, Pseudopods with claws; C–E, Dip-00898, Chamaemyiidae, C, lateral view, head, anterior spiracle is marked with an arrow, render of SR-µCT scan; D, posterior spiracles openings are marked with arrows, render of SR-µCT scan; E, dorsal view, with clearly visible secondary annulation of the trunk; F, SMF-BE-10616, Chamaemyiidae, dorsal view; G, same, posterior spiracles, dorsal view; H, SMF-BE-10726, Phoridae representative puparium, dorsal view; I, same, head, dorsal view; J, same, trunk end, dorsal view.
FIGURE 2 in Synchrotron-radiation computed tomography uncovers ecosystem functions of fly larvae in an Eocene forest
FIGURE 2. Diversity of fly larvae in Baltic amber. All volume renders based on SR-µCT scans A, PED-230, Athericidae, dorsal; B, same, lateral view; C, D, Chamaemyiidae; C, Dip-00898, dorsal view; D, Dip-00898, head in dorsal view; E, BI-2356, puparium Cyclorrhapha, morphotype 1, lateral view; F, Dip-00888, Syrphidae, Volucellini, dorsal view; G, same, ventral view; H–K, Cyclorrhapha. H–I, Morphotype 2; H, Dip-00892, sagittal slice; I, Dip-00892, lateral view; I, Morphotype 3; BI2354, lateral view; J, Morphotype 3; BI2354, lateral view; K, Dip-00893, lateral view.
FIGURE 5. Volucella bombylans L in Synchrotron-radiation computed tomography uncovers ecosystem functions of fly larvae in an Eocene forest
FIGURE 5. Volucella bombylans L. extant larva for comparison, from ZSM collection, collected at Ober-Bayern, Kiefersfelden, from wasp nest on the house leg. Seggmann. A, head, laterally; B, anterior spiracle; C, dorsal view; D, ventral view; E, lateral view; F, Posterior spiracle.
FIGURE 8 in Synchrotron-radiation computed tomography uncovers ecosystem functions of fly larvae in an Eocene forest
FIGURE 8. Diversity of fly larvae in Baltic amber. All representative of Cyclorrhapha, A, morphotype 1, AKBS-0030, lateral view, render of a SR-µCT scan; B, same, sagittal slice of the head, render of a SR-µCT scan; C, Dip-00893, morphotype 3, dorsal view, render of a SR-µCT scan; D, Dip-00893, morphotype 3, head, dorsal view, render of a SR-µCT scan; E, Dip-00893 morphotype 3, head, dorsal view, render of a SR-µCT scan; E, Dip-00893, morphotype 3, posterior spiracles, ventral view, render of a SR-µCT scan; F, Dip-00893, morphotype 3, lateral view, render of a SR-µCT scan; G, Dip-00892, morphotype 2, sagittal slice through the head, render of a synchrotron scan; H, same, lateral view, ren- der of a synchrotron scan; I, morphotype 4, SMF-BE-10645, ventrolateral view; J, same, head.
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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.