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FIGURE 6. Dahira farintaenia from Hanzhong, Shaanxi. A in The life history of Hayesiana triopus (Westwood, 1847), with taxonomic notes on both present and former species of the genus Hayesiana Fletcher, 1982 (Lepidoptera: Sphingidae)
FIGURE 6. Dahira farintaenia from Hanzhong, Shaanxi. A: male, upperside; B: male, underside; C: female, upperside; D: female, underside. Scale bar = 10 mm.
FIGURE 5 in The life history of Hayesiana triopus (Westwood, 1847), with taxonomic notes on both present and former species of the genus Hayesiana Fletcher, 1982 (Lepidoptera: Sphingidae)
FIGURE 5. Ecology records of adult Hayesiana triopus in China. A: resting on a branch, dorsal view, Shenzhen, Guangdong Province; B: resting on a branch, ventral view, Shenzhen, Guangdong Province; C: visiting Hedychium flavum Roxb. flowers in the daytime, Wenzhou, Zhejiang Province; D: imbibing nectar of Hedychium flavum Roxb., Wenzhou, Zhejiang Province; E: habitat of Hayesiana triopus, Mengla County, Yunnan Province.
FIGURE 7 in The life history of Hayesiana triopus (Westwood, 1847), with taxonomic notes on both present and former species of the genus Hayesiana Fletcher, 1982 (Lepidoptera: Sphingidae)
FIGURE 7. Male genitalia of Dahira farintaenia from Hanzhong County, Shaanxi. A: genital ring and right valva in lateral view; B: inner view of left valva; C: phallus in lateral view; D: phallus apex in detail. Scale bar = 1 mm.
Supplementary material 2 from: Rodrigues-Filho SJM, dos Santos Lobato F, Medeiros de Abreu CH, Rebelo MT (2023) Where in Europe is Chrysomya albiceps? Modelling present and future potential distributions. NeoBiota 85: 81-99. https://doi.org/10.3897/neobiota.85.96687
Occurrence points of Chrysomya albiceps recorded from the scientific literature and in the GBIF database
Supplementary material 1 from: Rodrigues-Filho SJM, dos Santos Lobato F, Medeiros de Abreu CH, Rebelo MT (2023) Where in Europe is Chrysomya albiceps? Modelling present and future potential distributions. NeoBiota 85: 81-99. https://doi.org/10.3897/neobiota.85.96687
References acquired from the databases cited in the manuscript and consulted in the literature review to generate a dataset of geographic coordinates of the species Chrysomya albiceps
Auditory cortex single unit population activity during natural sound presentation -- dataset
<p><strong>Overview</strong></p> <p>High-density multi-channel neurophysiology data were collected from primary (A1) and secondary (PEG) fields of auditory cortex of passively listening ferrets during presentation of a large natural sound library. Single unit spikes were sorted using Kilosort. This dataset includes spike times for 849 A1 units and 398 PEG units. Stimulus waveforms were transformed to log-spaced spectrograms for analysis (18 channels, 10 ms time bins). Data set includes raw sound waveforms as well and high resolution (1000 samples/sec) single-trial spike data. The authors request that any publication using this data cite the following work: https://www.biorxiv.org/content/10.1101/2022.06.10.495698v2</p> <p>Version 1.1 is updated with more examples and documentation. It also includes a less-processed version of the spike data that permits reconstruction of the experimental sequence used at each recording site and single-trial responses to the repeated validation stimuli.</p> <p><strong>Data format/description</strong></p> <p>Preprocessed neural data are aggregated in two main files. All recordings were performed during presentation of the same natural sound library to passively listening animals. During each experiments, stimuli were presented in a random order, and repeated validation stimuli were interleaved throughout the experiment. In the main files, data have been aligned to the same order by stimulus and averaged across repeated presentations (for the validation stimuli, which were presented 20 times during each experiment). The averaged validation data make up the first 27 seconds of each recoding block.</p> <ul> <li><strong>A1_NAT4_ozgf.fs100.ch18.tgz</strong> - data from 849 A1 single units and log spectrogram of stimuli aligned with spike times. Data are aggregated across 64- or 128-channel recordings from 22 sites in 4 animals.</li> <li><strong>PEG_NAT4_ozgf.fs100.ch18.tgz</strong> - data from 398 PEG single units and log spectrogram of stimuli aligned with spike times. Data are aggregated across 64-channel recordings from 12 sites in 2 animals.</li> </ul> <p>Raw sound files (44100/s sampling, wav format) and spike times (1K/s sampling, in the original experimental order) are also provided in separate files. Summary data of model performance from the paper are also included.</p> <ul> <li><strong>wav.zip</strong> - raw wav files. As of version 2 of this repository, the wav files have been truncated to the 1-sec duration that was used in the experiments</li> <li><strong>A1_single_sites.zip</strong>, <strong>PEG_single_sites.zip</strong> - collections of files, one per recording site, with spike times stored in the actual order of data collection (including interleaved repeated validation stimuli). These spikes have been binned at 100 Hz and sorted to have matched order across all sites in the processed files (<strong>A1_NAT4_ozgf.fs100.ch18.tgz</strong>, <strong>PEG_NAT4_ozgf.fs100.ch18.tgz</strong>, respectively).</li> <li><strong>A1_pred_correlation.csv</strong>, <strong>PEG_pred_correation.csv</strong> - Comma-separated value file containing cross-validated prediction accuracy for each A1, PEG unit for each of the five exemplar models. The "sig_auditory" column is true for all units classified as having significant auditory responses, as classified in the publication.</li> </ul> <p><strong>Example scripts</strong></p> <p>Python scripts included with this dataset demonstrate how to load the neural data and perform a CNN model fit. Running the scripts requires the NEMS0 python library, which is available open source at <a href="http://github.com/lbhb/NEMS0">https://github.com/lbhb/NEMS0</a>.</p> <p><em>Quick install</em></p> <p>Create and activate a new conda environment:</p> <blockquote> <p>conda create -n NEMS0 python=3.7<br> conda activate NEMS0</p> </blockquote> <p>Download NEMS0:</p> <blockquote> <p>git clone https://github.com/lbhb/NEMS0</p> </blockquote> <p>Install NEMS0:</p> <blockquote> <p>pip install -e NEMS0</p> </blockquote> <p>Detailed instructions for installing NEMS0 are available in the Github repository (https://github.com/lbhb/NEMS0).</p> <p><em>Demo scripts</em></p> <p>Once NEMS0 is installed and the data are downloaded, move to the directory where the data and demo scripts are stored and run them in a NEMS0 environment.</p> <ul> <li><strong>pop_cnn_load.py </strong>- Load the A1 data and compare predictions for two neurons (Fig 3) by two population models (stage 1 fit complete). Illustrates how to load the data using Python.</li> <li><strong>pop_cnn_fit.py</strong> - Load a pre-fit A1 population model (stage 1) and complete stage 2 fit (refinement) for a single neuron. Illustrates use of NEMS0 for CNN model fitting.</li> <li><strong>single_trial_demo.py</strong> - Script demonstrating how to load the single trial data for a repeated validation stimulus from one A1 neuron. Also how to compute the average population PSTH for a single validation stimulus at 1000 sec-1 sampling. Unzip <strong>A1_single_sites.zip</strong> in the director containing this script first in order for it to run correctly.</li> </ul> <p><strong>Funding</strong></p> <p>Data collection, software development and processing were supported by funding from the NIH (R01DC014950, R01EB028155).</p>
Supporting data to reproduce figures and anaylisis presented in Bruciaferri et al. 2023 - submitted to Journal of Advances in Modeling Earth Systems (JAMES)
<p>Data for reproducing figures and the analysis of</p> <p>Diego Bruciaferri, Catherine Guiavarc’h, Helene T. Hewitt, James Harle, Mattia Almansi and Pierre Mathiot. Localised general vertical coordinates for quasi-Eulerian ocean models: the Nordic overflows test-case, submitted to JAMES.</p> <p>Data includes (© Crown copyright Met Office):</p> <p>1) models_geometry: bathymetry, horizontal grid and domain files needed to run the models and analyse their results.</p> <p>2) hpge: output data from HPG error idealised test.</p> <p>3) ideal_ovf: output data from the idealised overflow experiment</p> <p>4) realistic: output data from the realistic simulations</p>
FIGURE 2 in Type catalogue of Oedipodinae (Orthoptera: Acrididae) present in Naturalis Biodiversity Center Leiden (Netherlands)
FIGURE 2. Dorsal view of the current valid primary types housed in Naturalis Biodiversity Center. Abbreviations stand for: HT—Holotype, ST—Syntype, LT—Lectotype. A: Aiolopus thalassinus dubius Willemse, 1923—LT; B: Dittopternis zebrata Saussure, 1884—ST; C: Gastrimargus africanus parvulus Sjöstedt, 1928—NT; D: Gastrimargus subfasciatus (Haan, 1842)— LT; E: Gastrimargus willemsei Ritchie, 1982—HT; F: Lactista eustatia Bland, 2002—HT; G: Oedaleus virgula (Snellen van Vollenhoven, 1869)—HT; H: Ptenoscirta caliginosa (Haan, 1842)—ST.
FIGURE 1 in Type catalogue of Oedipodinae (Orthoptera: Acrididae) present in Naturalis Biodiversity Center Leiden (Netherlands)
FIGURE 1. Locations of type material housed in Naturalis Biodiversity Center of currently valid species names (black dots) and junior synonyms (black triangles). As coordinates for some locations were missing these were approximated. Numbers stand for the type location of 1—Aiolopus thalassinus dubius; 2—Chortoicetes sumbaensis; 3—Gastrimargus subfasciatus; 4— Gastrimargus willemsei; 5—Heteropternis respondens insularis; 6—Lactista eustatia; 7—Oedipoda kurda; 8—Sphingonotus lusitanicus; 9—Sphingonotus miramae; 10—Sphingonotus zebra; 11—Acridium vulneratum; 12—Acridium (Oedipoda) 4- maculatum; 13—Acrotylus insubricus biskrensis; 14—Gastrimargus amplus; 15—Gastrimargus chinensis; 16—Gastrimargus grossiceps; 17—Locusta gallica; 18—Scintharista punjabi.
FIGURE 3 in Type catalogue of Oedipodinae (Orthoptera: Acrididae) present in Naturalis Biodiversity Center Leiden (Netherlands)
FIGURE 3. Dorsal view of the current junior synonym species. A: Current valid species: Trilophidia annulata (Thunberg, 1815), Current junior synonym deposited at Naturalis: Acridium (Oedipoda) vulneratum Haan, 1842—LT; B: Currently valid species: Acrotylus deustus (Thunberg, 1815), Current junior synonym deposited at Naturalis: Acridium (Oedipoda) 4-maculatum (De Haan, 1842)—ST; C: Currently valid species: Gastrimargus nubilus Uvarov, 1925; Current junior synonym deposited at Naturalis: Gastrimargus africanus chinensis Willemse, 1933—ST; D: Currently valid species: Gastrimargus crassicollis (Saussure, 1888); Current junior synonym deposited at Naturalis: Gastrimargus grossiceps Sjöstedt, 1932—ST; E: Currently valid species: Gastrimargus africanus parvulus Sjöstedt, 1928; Current junior synonym deposited at Naturalis: Gastrimargus africanus pusillus Sjöstedt, 1928—HT.
Qualia Structure Meeting presentation: Emotion video similarity task
<p>27/06/2023 Qualia Structure Meeting presentation: Emotion video similarity task</p> <p>YouTube video: https://www.youtube.com/watch?v=Jn69lRnxkhg</p>
Fig. 4 in An overview of acyclotides: Past, present and future
Fig. 4. Diversity in gene architecture of acyclotides from six angiosperm families (Violaceae, Rubiaceae, Fabaceae, Poaceae, Solanaceae, Cucurbitaceae). (ER- Endoplasmic Reticulum, NTPP- N terminal propeptide, NTR- N terminal repeat, CTPP- C terminal propeptide CTR- C terminal repeat, A1a- Albumin 1 domain -chain A).
Fig. 3 in An overview of acyclotides: Past, present and future
Fig. 3. Multiple Sequence Alignment of acyclotides. All acyclotides with D (Asp)/N(Asn) at C-terminal end are acyclic analogues of cyclotides, whereas those ending with stop codon (*) are genetically predetermined acyclotides.
Regionalized life cycle assessment of present and future lithium production for Li-ion batteries
<p>This dataset contains supplementary data for the following publication: </p> <p>Vanessa Schenker, Christopher Oberschelp, Stephan Pfister,<br> Regionalized life cycle assessment of present and future lithium production for Li-ion batteries,<br> Resources, Conservation and Recycling,<br> Volume 187,<br> 2022,<br> 106611,<br> ISSN 0921-3449,<br> https://doi.org/10.1016/j.resconrec.2022.106611.<br> (https://www.sciencedirect.com/science/article/pii/S0921344922004451)</p>
Fig. 2 in Comparative analysis of cyclotide-producing plant cell suspensions presents opportunities for cyclotide plant molecular farming
Fig. 2. Cyclotide profiles in O. affinis cultures. A Relative quantification by MALDI-TOF-MS of cyclotides from in vitro grown organs, calli, and suspension cells of O. affinis. B Amino acid alignment of partial coding sequences encoding cyO2 derived from transcriptome sequencing of H. enneaspermus and a Sanger sequence-validated O. affinis transcript. Amino acid differences only exist within the N-terminal repeat (NTR) and C-terminal propeptide (CTPP) regions, whilst the coding sequence but not the peptide sequence differs between the two species. C Comparison of previously described kalata B18 (kB18) (Seydel et al., 2007) and Sanger sequence validated kalata B23 (kB23) presented in this work.
Fig. 3 in Comparative analysis of cyclotide-producing plant cell suspensions presents opportunities for cyclotide plant molecular farming
Fig. 3. Relative quantification by MALDI-TOF-MS of cyclotides from in vitro grown organs, calli, and suspension cells of A C. ternatea and B H. enneaspermus. Relative quantification was achieved by comparing the MS signal ratio between peptides of interest to that of an internally spiked peptide control using MALDITOF-MS.
Fig. 1 in Comparative analysis of cyclotide-producing plant cell suspensions presents opportunities for cyclotide plant molecular farming
Fig. 1. Example calli grown on optimal media formulations of A C. ternatea and B H. enneaspermus. Growth curves of suspension cultures (n = 3 for each media formulation) grown in media formulations for C C. ternatea and D H. enneaspermus. Growth was recorded relative to starting packed cell volume.
Fig. 5 in Comparative analysis of cyclotide-producing plant cell suspensions presents opportunities for cyclotide plant molecular farming
Fig. 5. Assessment of transcript or peptide levels present in O. affinis leaf, calli, and suspension cells at days 1, 14, 21 and 28. A Relative transcript expression determined by qPCR (n = 4) of asparaginyl endopeptidases OaAEP1, OaAEP2 and OaAEP3. B Relative transcript expression determined by qPCR (n = 4) of select cyclotide precursors Oak1 encoding kB1, Oak4 encoding kB2, and OaCyO2 encoding cyO2. C Relative peptide levels determined by MALDI-TOFMS (n = 4) of O. affinis cyclotides.
Fig. 6. A in Comparative analysis of cyclotide-producing plant cell suspensions presents opportunities for cyclotide plant molecular farming
Fig. 6. A Structural equivalence of cyO2 derived and purified from plant suspension cells or whole plant tissue as determined by NMR spectroscopy. B Cytotoxicity of cyclotides cyO2 and kB1 against Sf9 cells.
Fig. 4 in Comparative analysis of cyclotide-producing plant cell suspensions presents opportunities for cyclotide plant molecular farming
Fig. 4. Inducibility of cyclotide accumulation in O. affinis suspension cells. A Cyclotide accumulation profiles in O. affinis suspension cells exposed to biotic (methyl jasmonate, MeJA) and abiotic (NaCl) signals. Replicate (n =3) cultures were assayed 1, 4 and 7 days after addition of inducer. Treatments highlighted by an asterisk are significantly different (P <0.05). Cell morphology of B day 1 cells in 3 mM NaCl, C day 7 cells in 3 mM NaCl and D day 7 cells in 50 mM NaCl.
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.