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Results from the monitoring of veterinary medicinal product residues and other substances in live animals and animal products - Lithuania
<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 Lithuania. The presence of unauthorised substances, residues of veterinary medicinal products 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 Implementing Regulation (EU) 2022/1646 lays down practical arrangements for and specific content of official controls of the use of veterinary medicinal products in live animals and products of animal origin through three different official national control plans: a national risk-based control plan for production in the Member States, a national randomised surveillance plan for production in the Member States and a national risk-based control plan for third-country imports. Additionally, Commission Delegated Regulation (EU) 2022/1644 lays down the range of samples and stage of production, processing and distribution at which the samples are to be taken.</p> <p>Since 2018 until 2022, the data on the national residue monitoring plan were reported to EFSA in accordance with Council Directive 96/23/EC.</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, and from 2023 also samples from casings, insects and reptiles.</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. Conversely, the objective of random sampling is to collect significant data to evaluate, for example, consumer exposure to a specific substance.</p> <p>Suspect samples are taken as a consequence of i) non-compliant results on samples taken in accordance with the control plans, 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 mean substances that are not authorised as veterinary medicinal products or as a feed additive under European Union legislation.</p> <p>Prohibited substances mean substances which are prohibited for use in food producing animals according to the 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_2023 – National Food and Veterinary Risk Assessment Institute</p> <p>VMPR_2022 – National Food and Veterinary Risk Assessment Institute</p> <p>VMPR_2021 – National Food and Veterinary Risk Assessment Institute</p> <p>VMPR_2020 – National Food and Veterinary Risk Assessment Institute</p> <p>VMPR_2019 – National Food and Veterinary Risk Assessment Institute</p> <p>VMPR_2018 – National Food and Veterinary Risk Assessment Institute</p> <p>VMPR_2017 – National Food and Veterinary Risk Assessment Institute</p>
Results from the monitoring of veterinary medicinal product residues and other substances in live animals and animal products - Spain
<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 Spain. The presence of unauthorised substances, residues of veterinary medicinal products 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 Implementing Regulation (EU) 2022/1646 lays down practical arrangements for and specific content of official controls of the use of veterinary medicinal products in live animals and products of animal origin through three different official national control plans: a national risk-based control plan for production in the Member States, a national randomised surveillance plan for production in the Member States and a national risk-based control plan for third-country imports. Additionally, Commission Delegated Regulation (EU) 2022/1644 lays down the range of samples and stage of production, processing and distribution at which the samples are to be taken.</p> <p>Since 2018 until 2022, the data on the national residue monitoring plan were reported to EFSA in accordance with Council Directive 96/23/EC.</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, and from 2023 also samples from casings, insects and reptiles.</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. Conversely, the objective of random sampling is to collect significant data to evaluate, for example, consumer exposure to a specific substance.</p> <p>Suspect samples are taken as a consequence of i) non-compliant results on samples taken in accordance with the control plans, 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 mean substances that are not authorised as veterinary medicinal products or as a feed additive under European Union legislation.</p> <p>Prohibited substances mean substances which are prohibited for use in food producing animals according to the 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_2023 – Spanish Agency for Food Safety and Nutrition; Ministry of Health</p> <p>VMPR_2022 – Spanish Agency for Food Safety and Nutrition</p> <p>VMPR_2021 – Spanish Agency for Food Safety and Nutrition</p> <p>VMPR_2020 – Spanish Agency for Food Safety and Nutrition</p> <p>VMPR_2019 – Spanish Agency for Food Safety and Nutrition</p> <p>VMPR_2018 – Spanish Agency for Food Safety and Nutrition</p> <p>VMPR_2017 – Spanish Agency for Food Safety and Nutrition; Ministry of Agriculture and Fisheries, Food and Environment</p>
Results from the monitoring of veterinary medicinal product residues and other substances in live animals and animal products - Germany
<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 Germany. The presence of unauthorised substances, residues of veterinary medicinal products 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 Implementing Regulation (EU) 2022/1646 lays down practical arrangements for and specific content of official controls of the use of veterinary medicinal products in live animals and products of animal origin through three different official national control plans: a national risk-based control plan for production in the Member States, a national randomised surveillance plan for production in the Member States and a national risk-based control plan for third-country imports. Additionally, Commission Delegated Regulation (EU) 2022/1644 lays down the range of samples and stage of production, processing and distribution at which the samples are to be taken.</p> <p>Since 2018 until 2022, the data on the national residue monitoring plan were reported to EFSA in accordance with Council Directive 96/23/EC.</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, and from 2023 also samples from casings, insects and reptiles.</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. Conversely, the objective of random sampling is to collect significant data to evaluate, for example, consumer exposure to a specific substance.</p> <p>Suspect samples are taken as a consequence of i) non-compliant results on samples taken in accordance with the control plans, 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 mean substances that are not authorised as veterinary medicinal products or as a feed additive under European Union legislation.</p> <p>Prohibited substances mean substances which are prohibited for use in food producing animals according to the 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_2023 – Federal Office of Consumer Protection and Food Safety</p> <p>VMPR_2022 – Federal Office of Consumer Protection and Food Safety</p> <p>VMPR_2021 – Federal Office of Consumer Protection and Food Safety</p> <p>VMPR_2020 – Federal Office of Consumer Protection and Food Safety</p> <p>VMPR_2019 – Federal Office of Consumer Protection and Food Safety</p> <p>VMPR_2018 – Federal Office of Consumer Protection and Food Safety</p> <p>VMPR_2017 – Federal Office of Consumer Protection and Food Safety</p>
Results from the monitoring of veterinary medicinal product residues and other substances in live animals and animal products - United Kingdom in respect of Northern Ireland
<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 United Kingdom in respect of Northern Ireland. The presence of unauthorised substances, residues of veterinary medicinal products 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 Implementing Regulation (EU) 2022/1646 lays down practical arrangements for and specific content of official controls of the use of veterinary medicinal products in live animals and products of animal origin through three different official national control plans: a national risk-based control plan for production in the Member States, a national randomised surveillance plan for production in the Member States and a national risk-based control plan for third-country imports. Additionally, Commission Delegated Regulation (EU) 2022/1644 lays down the range of samples and stage of production, processing and distribution at which the samples are to be taken.</p> <p>Since 2018 until 2022, the data on the national residue monitoring plan were reported to EFSA in accordance with Council Directive 96/23/EC.</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, and from 2023 also samples from casings, insects and reptiles.</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. Conversely, the objective of random sampling is to collect significant data to evaluate, for example, consumer exposure to a specific substance.</p> <p>Suspect samples are taken as a consequence of i) non-compliant results on samples taken in accordance with the control plans, 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 mean substances that are not authorised as veterinary medicinal products or as a feed additive under European Union legislation.</p> <p>Prohibited substances mean substances which are prohibited for use in food producing animals according to the 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>For 2021 and 2022 the only United Kingdom data that were reported to EFSA were from Northern Ireland. In accordance with the Agreement on the withdrawal of the United Kingdom of Great Britain and Northern Irelandfrom the European Union and the European Atomic Energy Community, and in particular Article 5(4) of the WindsorFramework (see Joint Declaration No 1/2023 of the Union and the United Kingdom in the Joint Committee establishedby the Agreement on the withdrawal of the United Kingdom of Great Britain and Northern Ireland from the EuropeanUnion and the European Atomic Energy Community of 24 March 2023, OJ L 102, 17.4.2023, p.87) in conjunction withsection 24 of Annex 2 to that Framework, for the purposes of this Regulation, references to Member States include theUnited Kingdom in respect of Northern Ireland.</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>VMPR_2023 – Department of Agriculture, Environment and Rural Affairs</p> <p>VMPR_2022 – Department of Agriculture, Environment and Rural Affairs</p> <p>VMPR_2021 – Department of Agriculture, Environment and Rural Affairs</p>
Animal Communicator International Scan of Books, Websites, Animal Communicator Directory
<p>Four datasets are included focusing on animal communicators (AC): practitioners of intuitive interspecies communication (IIC).</p> <p><strong>Dataset #1:</strong> International English language websites data set (n = 400). To be included and coded, websites had to meet the following 3 criteria: (1) have an English language version of the website, (2) currently offer private AC consultations, and (3) be identified before website analysis was determined comprehensive enough to represent the international scope of AC (Oct. 30, 2020). CITE AS:<strong> </strong>Barrett, M. J., Zmud, L., Mathur, A., & Hoessler, C. (2024). Animal communicator website scan [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p> <strong>Dataset #2:</strong> International English language published books. Total books (n = 191): Books were identified through internet searches, including searches on Amazon and used bookstores such as Abe Books, from practicing AC websites, and from the directory: Book Authority Website for “53 Best Animal Communication Books of All Time,” https://bookauthority.org/books/best-animal-communication-books. Dataset includes books’ titles, descriptions, front and back covers and tables of contents where available. Where it was not clear whether the author was an animal communicator who consulted with clients, we did additional online searches to make this determination. All books had an English language printed copy of the book. We excluded books that were available in electronic copy only. We expanded our initial content inclusion criteria used in the website report beyond individuals currently offering consultations as professional animal communicators to include: (1) professional animal communicators who have since retired; (2) individuals who work intensively with animals in other capacities such as healing, but also report instances of IIC; (3) individuals who may not have worked as professional animal communicators, but write about their own lived experience of the phenomena; and (4) books written by individuals who are not ACs but have interviewed ACs. Where a book was written by two authors, or in some cases, an animal communicator with an additional author, we included both authors in our formal citation. Books were written by ACs who offered professional services (182), or authors who were not ACs (9). CITE AS:<strong> </strong>Barrett, M. J., Mathur, A., & Ghoreishi, Z., Hoessler, C., Kuppenbender, S. (2024). Animal communicator Book Scan [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p><strong>Dataset #3:</strong> Directory of practicing ACs (1990-2011; n = 80 issues). To provide a snapshot of growth in numbers of practitioners over time, we compiled listings of ACs published in the Animal Communicator Directory from <em>Species Link: The Journal of Interspecies Telepathic Communication</em>. From 1990-2011, the publication included a directory of practicing ACs; after 2011, the directory went fully online, and data from each year is not available. CITE AS:<strong> </strong>Barrett, M.J. & Hoessler, C. (2022). Animal Communicator Directory. [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p><strong>Dataset #4: </strong>Reference List of 15 Analyzed Animal Communicator Books with formal or informal “How-To” Sections. Compiled to identify and summarize the ways in which ACs were describing essential processes for conducting a successful intuitive communication session with animals, and thus provide an overview of what happens in an IIC session. Selection criteria: We were seeking succinct summaries from ACs. The intent was not to dig into and analyze processes in detail, but rather to summarize and synthesize the essential processes and steps as the ACs were reporting them. As such, it was beyond the scope of this study to analyze reported example communications or analyze processes in books where the entirety of the book was describing communications with animals. Publication date range: 1998-2019. Close to 300 pages were analyzed. The actual "how-to" excerpts are not included as they are subject to copyright. CITE AS:<strong> </strong>Barrett, M.J. & Kuppenbender, S. (2022). Reference List of 15 Analyzed Animal Communicator Books [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p>For further information on data collection and analysis details contact M.J. Barrett, PhD. mj.barrett@usask.ca </p> <p>Funded by the Social Sciences and Humanities Research Council of Canada<em> </em>Insight Development Grant: <em>Deepening Connection in Pursuit of Environmental Sustainability: Assessing a Promising Lever for Shifting Assumptions of Separation </em>(Grant # 430-2019-01023).</p>
Data from: An Easily Compatible Eye Tracking System for Free-moving Small Animals
<p>These datasets are associated with human labled eye tracking datasets in DLC formate and pixel formate from the paper Huang et. al., <em>An Easily Compatible Eye Tracking System for Free-moving Small Animals, </em>2021.<em> </em></p>
Data from: Metacommunity theory review and its application in community assembly of soil animals
<p>We were interested in community assembly of soil animals and performed a literature study to find out what is known about soil metacommunities. We aimed to study keywords co-occurrence relationships of scientific journal articles in the field of "metacommunity" research from 1992-2017 as a whole. We also investigated the co-occurrence of the top 20 most frequent keywords in five 5-year time periods.</p> <p> </p> <p> </p> <p>In September 2017 we searched the Web of Science with ‘metacommunity’ as the only keyword, and found 1226 English papers published in international journals between January 1992 and September 2017. And we exported these papers from Web of Science as a plain text file (.txt) with the option ‘Full Record and Cited References’, which is archived here. The text file thus contains full records and cited references (in a concise format, so without the titles of the cited papers), and each field is prefaced by a two-character field tag. Afterwards we used the software ‘Citespace’ to create Table 1 and Figure 2 in Guo et al. (2018). We created that Figure 2 using the following settings in Citespace: we choose the “co-occurrence” function and “keyword” as node types, then created keywords co-occurrence relationships (Figure 2). Next, we created lists of the top 20 keywords in different periods, which can reveal the research hotspots (Table 1). The method for extracting the top 20 most frequent keywords was as follows: We use the Web of Science database to retrieve scientific papers from 1992 to 2017, taking into account the relationship between citation and publication time. We calculated the percentage of 200 most cited papers published in each of the 5-year periods. To do so we followed the following steps:</p> <p>Step1: we selected the 200 most cited papers from the entire datset (1226 in the 1992-2017 period).</p> <p>Step 2: we calculated the percentage of those 200 papers published each 5-year period.</p> <p>Step 3: we also calculated an correction coefficient by taking, for each 5-year period, the number of top-200 most cited papers published in that period, and dividing that number by the total number of papers (out of the 1226 selected papers) published in that period.</p> <p>Step 4 Last, we calculate the real keyword frequency by multiplying the keyword frequency in specific 5-year periods with the correction coefficient.</p>
Animal lifestyle affects acceptable mass limits for attached tags
<p></p><p> Animal-attached devices have transformed our understanding of vertebrate ecology. To minimize any associated harm, researchers have long advocated that tag masses should not exceed 3% of carrier body mass. However, this ignores tag forces resulting from animal movement. Using data from collar-attached accelerometers on 10 diverse free-ranging terrestrial species from koalas to cheetahs, we detail a tag-based acceleration method to clarify acceptable tag mass limits. We quantify animal athleticism in terms of fractions of animal movement time devoted to different collar-recorded accelerations and convert those accelerations to forces (acceleration × tag mass) to allow derivation of any defined force limits for specified fractions of any animal's active time. Specifying that tags should exert forces that are less than 3% of the gravitational force exerted on the animal's body for 95% of the time led to corrected tag masses that should constitute between 1.6% and 2.98% of carrier mass, depending on athleticism. Strikingly, in four carnivore species encompassing two orders of magnitude in mass ( ca 2–200 kg), forces exerted by '3%' tags were equivalent to 4–19% of carrier body mass during moving, with a maximum of 54% in a hunting cheetah. This fundamentally changes how acceptable tag mass limits should be determined by ethics bodies, irrespective of the force and time limits specified. </p><p></p>
FIG. 3. — Opisthacanthus milloti n in Scorpions of the Réserve spéciale d'Ankarana, Madagascar, with particular reference to cave-dwelling animals and the description of two new species (Arachnida, Scorpiones)
FIG. 3. — Opisthacanthus milloti n. sp., ventral aspect, showing coxapophysis, sternum,genital operculum, pectines and sternite III: A, ♂ holotype; B, ♀ paratype. Scale bar: 2 mm.
FIG. 7. — Opisthacanthus pauliani n in Scorpions of the Réserve spéciale d'Ankarana, Madagascar, with particular reference to cave-dwelling animals and the description of two new species (Arachnida, Scorpiones)
FIG. 7. — Opisthacanthus pauliani n. sp., ♂ holotype, trichobothrial pattern: A-C, chela dorso-external, external and ventral aspects; D, femur, dorsal aspect; E, fixed finger, internal aspect; F-H, patella, dorsal, external and ventral aspects; I, cutting edge of movable finger with rows of granules. Scale bars: 2 mm.
FIG. 2. — Opisthacanthus milloti n in Scorpions of the Réserve spéciale d'Ankarana, Madagascar, with particular reference to cave-dwelling animals and the description of two new species (Arachnida, Scorpiones)
FIG. 2. — Opisthacanthus milloti n. sp., ♂ holotype and ♀ paratype: A, carapace; B, chelicera; C, hemispermatophore external aspect (♂); D, E, metasomal segment V and telson, lateral aspect (♂ and ♀). Scale bars: 2 mm.
FIG. 6. — Opisthacanthus pauliani n in Scorpions of the Réserve spéciale d'Ankarana, Madagascar, with particular reference to cave-dwelling animals and the description of two new species (Arachnida, Scorpiones)
FIG. 6. — Opisthacanthus pauliani n. sp., ♂ holotype: A, carapace; B, chelicera; C, ventral aspect, showing coxapophysis, sternum, genital operculum, pectines and sternite III; D, hemispermatophore, external aspect. Scale bars: 2 mm.
FIG. 4. — Opisthacanthus milloti n in Scorpions of the Réserve spéciale d'Ankarana, Madagascar, with particular reference to cave-dwelling animals and the description of two new species (Arachnida, Scorpiones)
FIG. 4. — Opisthacanthus milloti n. sp., ♂ holotype, trichobothrial pattern: A-C, chela dorso-external, external and ventral aspects; D, femur, dorsal aspect; E, fixed finger, internal aspect; F-H, patella, dorsal, external and ventral aspects; I, cutting edge of movable finger with rows of granules. Scale bars: 2 mm.
Animal disease data complementing the European Union One Health 2020 Zoonoses Report
<p>This dataset contains the mandatory annual data reported for bovine tuberculosis and for bovine and ovine and caprine brucellosis based on Directive 2003/99 that cites in Recital 7 the Council Directives 64/432/EEC and 91/68/EEC. The relevant Commission Decisions relating to the officially free (OF) MS and MS' regions and related reporting are: Decision 2003/467/EC for bovine tuberculosis and bovine brucellosis, and Decision 93/52/EC for sheep and goat brucellosis (B. melitensis). REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: Disease_status_data_2020_20211109: >></p>
Incorporating effects of age on energy dynamics predicts non-linear maternal allocation patterns in iteroparous animals
<p>Iteroparous parents face a trade-off between allocating current resources to reproduction versus maximizing survival to produce further offspring. Optimal allocation varies across age, and follows a hump-shaped pattern across diverse taxa, including mammals, birds and invertebrates. This non-linear allocation pattern lacks a general theoretical explanation, potentially because most studies focus on offspring number rather than quality and do not incorporate uncertainty or age-dependence in energy intake or costs. Here, we develop a life history model of maternal allocation in iteroparous animals. We identify the optimal allocation strategy in response to stochasticity when energetic costs, feeding success, energy intake, and environmentally-driven mortality risk are age-dependent. As a case study, we use tsetse, a viviparous insect that produces one offspring per reproductive attempt and relies on an uncertain food supply of vertebrate blood. Diverse scenarios generate a hump-shaped allocation: when energetic costs and energy intake increase with age; and also when energy intake decreases, and energetic costs increase or decrease. Feeding success and mortality risk have little influence on age-dependence in allocation. We conclude that ubiquitous evidence for age-dependence in these influential traits can explain the prevalence of non-linear maternal allocation across diverse taxonomic groups.</p>
Animated GIF - Utrecht MIDA Opening Conference - Badges
<p><strong>Animated GIF</strong></p> <ul> <li>Created with the badges of the participants. </li> <li>This animated GIF was used to promote the MIDA Opening Conference in Utrecht. </li> </ul>
Animated GIF - website makeover promotion, teaser
<p>Animated GIF published on social networks in November 2020.</p> <p>It was created as a teaser for the makeover of the MIDA website www.itn-mida.org on November 2020. </p> <p> </p>
FIG. 15 in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 15. — Emys orbicularis Linnaeus, 1758 (young). Both the colour and the long pointed tail may explain the Roman name mus (lit. "mouse"). Photo credit: Katya (CC BY-SA 2.0).
FIG. 11 in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 11. — Some of the most popular ostrea (externally shelled molluscs). A, a date mussel (balanus); B, a mussel (musculus – also myax or mitulus); C, a scallop (pectunculus); D, a spiny dye murex (murex or purpura). Detail from a Roman mosaic from Pompeii, 1st century CE (Museo Archeologico Nazionale, Napoli; photo credit: A. Guasparri).
FIG. 7 in The Roman classification and nomenclature of aquatic animals: an annotated checklist (with a focus on ethnobiology)
FIG. 7. — Two mollia (cephalopods), i.e. a sepia (bottom, left) and a polypus (center). Detail from a mosaic in Herculaneum (female thermae floor), Ist century CE. Photo credit: A. Guasparri.
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.