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ANI values for alphaproteobacterial gutless oligochaete symbionts
<p>ANI values for alphaproteobacterial gutless oligochaete symbionts.</p> <p>Tool used to acquire the matrices: http://enve-omics.ce.gatech.edu/g-matrix/.</p>
Wildlife trade targets colourful birds and threatens the aesthetic value of nature
<p>Additional supplementary material (two figures, 1 table) to support findings of the paper "Wildlife trade targets colourful birds and threatens the aesthetic value of nature".</p>
A Comprehensive Analysis of the Risks Associated with the Determination of Biofuels' Calorific Value by Bomb Calorimetry
<p>Dataset contains the experimental results obtained by the different institutes. This database was used to draw the graphs and perfomring the calculations in the following publication:<br> "Comprehensive Analysis of the Risks Associated with the Determination of Biofuels’ Calorific Value by Bomb Calorimetry"</p>
Representations and associated fitness values of protein sequences
<p>We studied the ability to predict protein fitness from sequence using our method <a href="https://github.com/amillig/MERGE" target="_blank" rel="noopener">MERGE</a> and other methods (i.e., ECNet, eUniRep, EVmutation, One-Hot, and UniRep). The following files are included in this repository:</p> <ul> <li>The folder <em>ECNet</em> contains the braw, csv, and fasta files required to run <a href="https://github.com/luoyunan/ECNet" target="_blank" rel="noopener">ECNet</a>.</li> <li>The folders <em>eUniRep, </em><em>MERGE, One-Hot</em>, and <em>UniRep</em> contain csv files including the names and fitness values of protein variants as well as a numerical representation of their sequence. The folder <em>MERGE </em>also contains representations of the wild type sequences as npy files in the <em>wts</em> folder.</li> <li>The folder <em>Params</em> contains params files generated with <a href="https://github.com/debbiemarkslab/plmc" target="_blank" rel="noopener">PLMC</a>.</li> <li>The script <em>get_performances.py</em> enables to generate models using different methods (i.e., eUniRep, EVmutation, MERGE, One-Hot, Pure_ML, and UniRep) and to determine their performance for predicting the fitness of protein variants from sequence.</li> </ul> <p><strong>References</strong></p> <table> <tbody> <tr> <td><a href="https://doi.org/10.1038/s41467-021-25976-8" target="_blank" rel="noopener">ECNet</a></td> <td> <p>Luo, Y., Jiang, G., Yu, T. et al. ECNet is an evolutionary context-integrated deep learning framework for protein engineering. Nat Commun 12, 5743 (2021).</p> </td> </tr> <tr> <td><a href="https://doi.org/10.1038/s41592-021-01100-y" target="_blank" rel="noopener">eUniRep</a></td> <td>Biswas, S., Khimulya, G., Alley, E.C. et al. Low-N protein engineering with data-efficient deep learning. Nat Methods 18, 389–396 (2021)</td> </tr> <tr> <td><a href="https://doi.org/10.1038/nbt.3769" target="_blank" rel="noopener">EVmutation</a></td> <td>Hopf, T., Ingraham, J., Poelwijk, F. et al. Mutation effects predicted from sequence co-variation. Nat Biotechnol 35, 128–135 (2017).</td> </tr> <tr> <td><a href="https://doi.org/10.1038/s41592-019-0598-1" target="_blank" rel="noopener">UniRep</a></td> <td>Alley, E.C., Khimulya, G., Biswas, S. et al. Unified rational protein engineering with sequence-based deep representation learning. Nat Methods 16, 1315–1322 (2019).</td> </tr> </tbody> </table> <p> </p>
Murine Cortex M6A Epitranscriptomic Values for Aligned MM39, Mitochondrial, and Calibration Reads
Open the record for dataset details and reuse information.
Mean and individual values of subjective visual horizontal during centrifugation and in-flight trials
<p>Supplementary tables presenting the mean and individual values of subjective visual horizontal during centrifugation and in-flight trials. These data are discussed in the manuscript entitled "Influence of spatial orientation training in a centrifuge on the ability of fighter pilots to assess the bank angle during flight without visual references", published in the Journal of Neurophysiology.</p>
Figure 71 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 71 Miaruscampanulae mature larva habitus.
Figure 93 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 93 Cleopomiarusmedius pupa habitus, ventral view.
Figure 31 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 31 Cleopomiarusmedius mature larva habitus.
Figure 61 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 61 Miarusajugae mature larva habitus.
Figure 41 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 41 Cleopomiarusmeridionalis mature larva habitus.
Figure 51 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 51 Miarusabnormis mature larva habitus.
Figure 11 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 11 Cleopomiarusgraminis mature larva habitus.
Figure 21 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 21 Cleopomiaruslongirostris mature larva habitus.
Figure 1 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 1 Cleopomiarusdistinctus mature larva habitus.
Figure 101 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 101 Miarusajugae pupa habitus, ventral view.
Figure 81 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 81 Cleopomiarusdistinctus pupa habitus, ventral view.
Figure 85 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 85 Cleopomiarusgraminis pupa habitus, ventral view.
Figure 97 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 97 Miarusabnormis pupa habitus, ventral view.
Figure 89 from: Skuhrovec J, Gosik R, Caldara R, Toševski I, Łętowski J, Szwaj E (2018) Morphological characters of immature stages of Palaearctic species of Cleopomiarus and Miarus and their systematic value in Mecinini (Coleoptera, Curculionidae, Curculioninae). ZooKeys 808: 23-92. https://doi.org/10.3897/zookeys.808.28172
Figure 89 Cleopomiaruslongirostris pupa habitus, ventral view.
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.