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197 results for “Materials Science”
Supplementary material 1 from: Liebherr JK, Porch N, Shaw M, Sinclair BE, Maddison DR (2021) Systematic revision of the trans-Bassian moriomorphine genus Theprisa Moore (Coleoptera, Carabidae). In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 339-373. https://doi.org/10.3897/zookeys.1044.62335
Images of Phersita convexa Sloane type series to accompany
Supplementary material 2 from: Liebherr JK, Porch N, Shaw M, Sinclair BE, Maddison DR (2021) Systematic revision of the trans-Bassian moriomorphine genus Theprisa Moore (Coleoptera, Carabidae). In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 339-373. https://doi.org/10.3897/zookeys.1044.62335
Data file used for cladistic analysis of Theprisa and closely related moriomorphine genera
Supplementary material 1 from: Riley Peterson KN, Browne RA, Erwin TL (2021) Carabid beetle (Coleoptera, Carabidae) richness, diversity, and community structure in the understory of temporarily flooded and non-flooded Amazonian forests of Ecuador. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 831-876. https://doi.org/10.3897/zookeys.1044.62340
Geolocation data for sampling sites at Tiputini Biodiversity Station
Supplementary material 1 from: Hayashi M, Sugiura S (2021) Shell-breaking predation on gastropods by Badister pictus (Coleoptera, Carabidae) with strikingly asymmetric mandibles. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 815-830. https://doi.org/10.3897/zookeys.1044.62293
Movie 1. Badister pictus attacking a dextral snail Zonitoides arboreus.
Supplementary material 1 from: Kavanaugh DH, Maddison DR, Simison WB, Schoville SD, Schmidt J, Faille A, Moore W, Pflug JM, Archambeault SL, Hoang T, Chen J-Y (2021) Phylogeny of the supertribe Nebriitae (Coleoptera, Carabidae) based on analyses of DNA sequence data. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 41-152. https://doi.org/10.3897/zookeys.1044.62245
Tables S1–S3
Supplementary material 2 from: Kavanaugh DH, Maddison DR, Simison WB, Schoville SD, Schmidt J, Faille A, Moore W, Pflug JM, Archambeault SL, Hoang T, Chen J-Y (2021) Phylogeny of the supertribe Nebriitae (Coleoptera, Carabidae) based on analyses of DNA sequence data. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 41-152. https://doi.org/10.3897/zookeys.1044.62245
Figures S1–S13
Supplementary material 3 from: Ariza GM, Jácome J, Esquivel HE, Kotze DJ (2021) Early successional dynamics of ground beetles (Coleoptera, Carabidae) in the tropical dry forest ecosystem in Colombia. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 877-906. https://doi.org/10.3897/zookeys.1044.59475
Table S3
Supplementary material 2 from: Ariza GM, Jácome J, Esquivel HE, Kotze DJ (2021) Early successional dynamics of ground beetles (Coleoptera, Carabidae) in the tropical dry forest ecosystem in Colombia. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 877-906. https://doi.org/10.3897/zookeys.1044.59475
Table S2
Supplementary material 1 from: Ariza GM, Jácome J, Esquivel HE, Kotze DJ (2021) Early successional dynamics of ground beetles (Coleoptera, Carabidae) in the tropical dry forest ecosystem in Colombia. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 877-906. https://doi.org/10.3897/zookeys.1044.59475
Table S1
Figs 41‒46 in Revision of type and non-type material assigned to the genus Orthocladius by Goetghebuer (1940-1950), deposited in the Royal Belgian Institute of Natural Sciences (Diptera: Chironomidae)
Figs 41‒46. Pseudorthocladius hockaiensis (Goetghebuer, 1933). 41 ‒ antenna, 42 ‒ thorax, 43 ‒ pulvilli, 44 ‒ virga, 45 ‒ anal point, 46 ‒ gonostylus.
Supplementary material 1 from: Woodburn M, Droege G, Grant S, Groom Q, Jones J, Trekels M, Vincent S, Webbink K (2021) A Data Standard for Dynamic Collection Descriptions. Biodiversity Information Science and Standards 5: e73902. https://doi.org/10.3897/biss.5.73902
Provisional list of classes.
Supplementary material 1 from: Eitzel M.V (2021) A modeler's manifesto: Synthesizing modeling best practices with social science frameworks to support critical approaches to data science. Research Ideas and Outcomes 7: e71553. https://doi.org/10.3897/rio.7.e71553
Modeler's Manifesto: Self-Situating Appendix
Supplementary material 1 from: Patterson DJ (2022) The scope and scale of the life sciences ('Nature's envelope'). Research Ideas and Outcomes 8: e96132. https://doi.org/10.3897/rio.8.e96132
Patterson Nature's envelope (template)
Supplementary material 2 from: Baskauf SJ, Girón Duque JC, Nielsen M, Cobb NS, Singer R, Seltmann KC, Kachian Z, Pérez M, Agosti D, Klompen AML (2023) Implementation Experience Report for Controlled Vocabularies Used with the Audubon Core Terms subjectPart and subjectOrientation. Biodiversity Information Science and Standards 7: e94188. https://doi.org/10.3897/biss.7.94188
Views Controlled Vocabularies Implementation Reporting Form
Supplementary material 1 from: Baskauf SJ, Girón Duque JC, Nielsen M, Cobb NS, Singer R, Seltmann KC, Kachian Z, Pérez M, Agosti D, Klompen AML (2023) Implementation Experience Report for Controlled Vocabularies Used with the Audubon Core Terms subjectPart and subjectOrientation. Biodiversity Information Science and Standards 7: e94188. https://doi.org/10.3897/biss.7.94188
Views Controlled Vocabularies testing notes
Materials Science Optimization Benchmark Dataset for Multi-fidelity Hard-sphere Packing Simulations
Benchmarks are an essential driver of progress in scientific disciplines. Ideal benchmarks mimic real-world tasks as closely as possible, where insufficient difficulty or applicability can stunt growth in the field. Benchmarks should also have sufficiently low computational overhead to promote accessibility and repeatability. The goal is then to win a "Turing test" of sorts by creating a surrogate model that is indistinguishable from the ground truth observation (at least within the dataset bounds that were explored), necessitating a large amount of data. In the fields of materials science and chemistry, industry-relevant optimization tasks are often hierarchical, noisy, multi-fidelity, multi-objective, high-dimensional, and non-linearly correlated while exhibiting mixed numerical and categorical variables subject to linear and non-linear constraints. To complicate matters, unexpected, failed simulation or experimental regions may be present in the search space. In this study, 438371 random hard-sphere packing simulations representing 279 CPU days worth of computational overhead were performed across nine input parameters with linear constraints and two discrete fidelities each with continuous fidelity parameters and results were logged to a free-tier shared MongoDB Atlas database. Two core tabular datasets resulted from this study: 1. a failure probability dataset containing unique input parameter sets and the estimated probabilities that the simulation will fail at each of the two steps, and 2. a regression dataset mapping input parameter sets (including repeats) to particle packing fractions and computational runtimes for each of the two steps. These two datasets can be used to create a surrogate model as close as possible to running the actual simulations by incorporating simulation failure and heteroskedastic noise. For the regression dataset, percentile ranks were computed within each of the groups of identical parameter sets to enable capturing heteroskedastic noise. This is in contrast with a more traditional approach that imposes a-priori assumptions such as Gaussian noise e.g., by providing a mean and standard deviation. A similar approach can be applied to other benchmark datasets to bridge the gap between optimization benchmarks with low computational overhead and realistically complex, real-world optimization scenarios.
Supplementary material 3 from: Colombari F, Battisti A (2023) Citizen science at school increases awareness of biological invasions and contributes to the detection of exotic ambrosia beetles. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 211-229. https://doi.org/10.3897/neobiota.84.95177
Number of individuals of each species captured at each school
Supplementary material 1 from: Colombari F, Battisti A (2023) Citizen science at school increases awareness of biological invasions and contributes to the detection of exotic ambrosia beetles. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 211-229. https://doi.org/10.3897/neobiota.84.95177
Lecture questionnaires
Supplementary material 3 from: Faria L, Cuthbert RN, Dickey JWE, Jeschke JM, Ricciardi A, Dick JTA, Vitule JRS (2023) The rise of the Functional Response in invasion science: a systematic review. NeoBiota 85: 43-79. https://doi.org/10.3897/neobiota.85.98902
Journal trends analysis
Supplementary material 2 from: Faria L, Cuthbert RN, Dickey JWE, Jeschke JM, Ricciardi A, Dick JTA, Vitule JRS (2023) The rise of the Functional Response in invasion science: a systematic review. NeoBiota 85: 43-79. https://doi.org/10.3897/neobiota.85.98902
List of the data extracted from publications included in the systematic review
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.