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FIG. 10 in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 10. — The Roman folk-taxonomy of conchylium2 (i.e. mostly, our externally shelled molluscs). Abbreviations: LF, life-form; LF1+, sublife-form exceeding LF level by one more level; LF2+, sublife-form exceeding LF level by two more levels; LF3+, sublife-form exceeding LF level by three more levels; INT, intermediate;FG, folkgeneric; FS, folk-specific. Symbols: *, prototypical; /, synonymy; (…), ethnotaxonomic ascription only presumed, due to lack of explicit statements in the sources; + (superscript), multiple ethnotaxonomic ascription due to different statements in the sources;?, presumed folk taxon. See each entry in Appendix 1 for details.
FIG. 5 in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 5. — Channe (comber). The one depicted is Serranus scriba (Linnaeus, 1758), the painted comber. Detail from a Roman mosaic from Pompeii, 1st century CE (Museo Archeologico Nazionale, Napoli; photo credit: A. Guasparri).
FIG. 2. — A in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 2. — A sparulus (Diplodus annularis (Linnaeus, 1758)), with its "shining golden nape" (Ovid). Photo credit: Waelbi (CC BY-SA 3.0).
FIG. 1 in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 1. – Lat. gladius (above) with a detail of the bill (below), i.e. the "referential constraint" encoded in the descriptive name (lit. "sword"). Engraving from Salviani (1554: pl. 39).
FIG. 9. — A in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 9. — A Roman lacertus (in the foreground). The one depicted is a Scomber sp. (Atlantic mackerel). Detail from a Roman mosaic from Pompeii, 1st century CE (Museo Archeologico Nazionale, Napoli; photo credit: A. Guasparri).
FIG. 14 in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 14. — The Roman folk-taxonomy of aquatic turtles (mus2, testudo). Abbreviations: FK, folk kingdom; INT, intermediate; FG, folk-generic; FS, folk-specific. Symbols: *, prototypical; /, synonymy; (…), ethnotaxonomic ascription only presumed, due to lack of explicit statements in the sources; […], not in the checklist inasmuch as non-aquatic. See each entry in Appendix 1 for details.
FIG. 17 in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 17. — The Roman folk-taxonomy of cete/beluae marinae (lit. "marine beasts"), which comprises various marine animals. Abbreviations: FK, folk kingdom; LF, life-form; FG, folk-generic. Symbols: *, prototypical; /, synonymy; (…), ethnotaxonomic ascription only presumed, due to lack of explicit statements in the sources. See each entry in Appendix 1 for details.
FIG. 13. — A in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 13. — A spiny lobster (locusta), with some externally shelled molluscs: A, a mussel (musculus); B, clams (chemae); C, spiny dye murices (murices or purpurae). Fresco from Herculaneum, 1st century CE (Museo Archeologico Nazionale, Napoli; photo credits: A. Guaspari).
FIG. 16. — A in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 16. — A, European pond turtle Emys orbicularis (Linnaeus, 1758); B, Dermochelys coriacea (Vandelli, 1861). Photo credits: Katya, CC BY-SA 2.0 (A); Claudia Lombard, CC BY 2.0 (B).
FIG. 3. — A in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 3. — A sample of those aquatic animals the Romans would have called piscis, i.e. fish, molluscs and crustaceans. Detail from a Roman mosaic from Pompeii, Ist century CE (Museo Archeologico Nazionale, Napoli; photo credit: A. Guasparri).
FIG. 12 in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 12. — The Roman folk-taxonomy of cancer2/crustata (i.e., mostly, our crustaceans). Abbreviations: Abbreviations: LF, life-form; LF1+, sublife-form; INT, intermediate; FG, folk-generic; FS, folk-specific. Symbols: *, prototypical; /, synonymy; (…), ethnotaxonomic ascription only presumed, due to lack of explicit statements in the sources;+ (superscript), multiple ethnotaxonomic ascription due to different statements in the sources. See each entry in Appendix 1 for details.
FIG. 4 in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 4. — The Roman folk-taxonomy of mollia (i.e. our cephalopods) and other invertebrates (sponges, jellyfish, etc.). Abbreviations: FK, folk kingdom; LF, lifeform; LF1+, sublife-form; INT, intermediate; FG, folk-generic; FS, folk-specific. Symbols: + (superscript), multiple ethnotaxonomic ascription due to different statements in the sources; /, synonymy;(…), ethnotaxonomic ascription only presumed, due to lack of explicit statements in the sources;?, presumed folk taxon. See each entry in Appendix 1 for details.
State of biodiversity documentation in the Philippines: Metadata gaps, taxonomic biases, and spatial biases in the DNA barcode data of animal and plant taxa in the context of species occurrence data
<p>These files can be categorized into three groups: (1) raw datasets obtained from public databases (i.e., GBIF, BOLD, and GenBank), (2) manually edited files needed for parsing and analysis, and (3) supplementary files for spatial analysis. All are used in the examination of gaps and biases present in Philippine biodiversity data, which can direct research on the taxa and spatial regions that need more sampling.</p>
Results from the monitoring of veterinary medicinal product residues and other substances in live animals and animal products - Bosnia and Herzegovina
<p>This dataset contains the monitoring results of veterinary medicinal product residues and other substances measured in live animals and animal products analysed by the national competent authority of Bosnia and Herzegovina. The presence of unauthorised substances, residues of veterinary medicinal products or chemical contaminants in food may pose a risk factor for public health.</p> <p>For this reason and in order to ensure a high level of consumer protection, a comprehensive legislative framework has been established in the European Union (EU) which defines maximum limits permitted in food and monitoring programmes for the control of the presence of these substances in the food chain. Regulation (EU) No 37/2010 establishes maximum limits for residues of veterinary medicinal products in food-producing animals and animal products. Maximum residue levels for pesticides in or on food and feed of plant and animal origin are laid down in Regulation (EC) No 396/2005. Commission Regulation (EC) 1881/2006 lays down the maximum limits for the presence of certain contaminants in animal products. Council Directive 96/23/EC lays down measures to monitor certain substances and residues thereof, mainly veterinary medicinal products, in live animals and animal products. Additionally, Commission Decision 97/747/EC lays down levels and frequencies of sampling for certain animal products.</p> <p>The chemical monitoring data collected and published by EFSA include the analytical results provided by EU Member States and three pre-accession countries: Bosnia-Herzegovina, Montenegro, North Macedonia and Serbia.</p> <p>The dataset contains the results of laboratory tests from samples taken from bovines, pigs, sheep, goats, horses, poultry, rabbits, farmed game, wild game aquaculture, milk, eggs and honey.</p> <p>Targeted samples are taken with the aim of detecting illegal treatment or controlling compliance with the maximum levels laid down in the relevant legislation. This means that, in their national plans Member States target the groups of animals (species, gender, age) where the probability of finding residues is the highest.</p> <p>Suspect samples are taken as a consequence of i) non-compliant results on samples taken in accordance with the monitoring plan, ii) possession or presence of prohibited substances at any point during manufacture, storage, distribution or sale through the food and feed production chain, or iii) suspicion or evidence of illegal treatment or non-compliance with the withdrawal period for an authorised medicinal veterinary product.</p> <p>Residues of pharmacologically active substances mean active substances, excipients or degradation products and their metabolites, which remain in food.</p> <p>Unauthorised substances or products mean substances or products prohibited under European Union legislation.</p> <p>Non-compliant sample is a sample that has been analysed for the presence of one or more substances and failed to comply with the legal provisions for at least one substance. Thus, a sample can be non-compliant for one or more substances.</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>VMPR_2020 – Veterinary Office of Bosnia and Herzegovina</p> <p>VMPR_2018 – Veterinary Office of Bosnia and Herzegovina</p>
Computational analysis of cortical neuronal excitotoxicity in a large animal model of neonatal brain injury
<p>This is the dataset accompanying the manuscript:</p> <p><strong>"Computational Analysis of Cortical Neuronal Excitotoxicity in a Large Animal Model of Neonatal Brain Injury"</strong></p> <p>Panagiotis Kratimenos<sup>1,2,5 </sup>*, Abhya Vij<sup>5</sup>, Robinson Vidva<sup>6</sup>, Ioannis Koutroulis<sup>3,4,5</sup>, Maria Delivoria-Papadopoulos<sup>7</sup>**, Vittorio Gallo<sup>1,5</sup>, and Aaron Sathyanesan<sup>1,5</sup>*</p> <p><em><sup>1</sup></em><em>Center for Neuroscience Research, Children’s National Research Institute, Children’s National Hospital, Washington DC, USA</em></p> <p><em><sup>2</sup></em><em>Department of Pediatrics, Division of Neonatology, Children’s National Hospital, Washington DC, USA</em></p> <p><em><sup>3</sup></em><em>Department of Pediatrics, Division of Emergency Medicine, Children’s National Hospital, Washington, DC, USA</em></p> <p><em><sup>4</sup></em><em>Center for Genetic Medicine Research, Children’s National Research Institute and Department of Genomics and Precision Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC, USA</em></p> <p><em><sup>5</sup></em><em>George Washington University School of Medicine and Health Sciences, Washington DC, USA</em></p> <p><em><sup>6</sup></em><em>Digirobi Solutions, Bengaluru, Karnataka, India</em></p> <p><em><sup>7</sup></em><em>Department of Pediatrics, Drexel University College of Medicine, Philadelphia, PA, USA</em></p> <p>*Corresponding Authors:</p> <p>Panagiotis Kratimenos, MD, PhD: <a href="mailto:panagiotis.kratimenos@childrensnational.org">panagiotis.kratimenos@childrensnational.org</a></p> <p>Aaron Sathyanesan, PhD: <a href="mailto:asathyanesan@childrensnational.org">asathyanesan@childrensnational.org</a></p> <p>111 Michigan Avenue, Washington, DC, 20010, USA</p>
CELLOIDS Animation: Intro to CELLOIDS
<p>Video Animation introducing the project CELLOIDS.</p> <p>Render frames extracted from the animation are also included (4K).</p>
Fig. 2 in Comparative Analysis Of Fecundity In Related Amphimictic Aporrectodea Caliginosa And Apomictic A. Trapezoides Earthworms, And The Problem Of Reproductive Advantages Of Parthenogenetic Animals
Fig. 2. Mean number of cocoons per one mature specimen in close parthenogenetic (A. trapezoides) and amphimictic (A. caliginosa) earthworm species during the reproduction season of 2019.
Fig. 1 in Comparative Analysis Of Fecundity In Related Amphimictic Aporrectodea Caliginosa And Apomictic A. Trapezoides Earthworms, And The Problem Of Reproductive Advantages Of Parthenogenetic Animals
Fig. 1. Mean number of cocoons per one mature specimen in close parthenogenetic (A. trapezoides) and amphimictic (A. caliginosa) earthworm species during the reproduction season of 2018.
Animals Characteristics of the Fuengirola bioparc in Spain
<p>In the dataset you will find information about the animals found in the Fuengirola Bioparc. In this dataset we will find the family, species, order, habitat, classification, area, diet, gestation and degree of threat of each animal.</p>
Fig. 3 in Application Of Dna Barcoding In Taxonomy And Phylogeny: An Individual Case Of Coi Partial Gene Sequencing From Seven Animal Species
Fig. 3. Phylogenetic position of Macrobiotus sp., Bayesian inference phylogenetic tree. Sequences obtained by us are written in bold.
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.