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X-ray scattering datasets associated with the publication "Molecular Dynamics of Janus Polynorbornenes: Glass Transitions and Nanophase Separation"
<p>X-ray scattering datasets for samples described in the 2020 publication "Molecular Dynamics of Janus Polynorbornenes: Glass Transitions and Nanophase Separation". This dataset includes both raw and processed X-ray scattering data for samples PTCHSiO-Pr, Bu, Hx, Oc and De, alongside background measurements files (BKG).</p>
Fig. 10 in An annotated key separating foreign earthworm species from the indigenous South African taxa (Oligochaeta: Acanthodrilidae, Eudrilidae, Glossoscolecidae, Lumbricidae, Megascolecidae, Microchaetidae, Ocnerodrilidae and Tritogeniidae)
Fig. 10. Spermathecae: (A) Acanthodrilidae: Udeina adriani; (B) Benhamiinae: Dichogaster (Diplothecodrilus) bolaui, D. (D) modiglianii, D. (D) affinis and D. (D) annae; (C) Microchaetidae: Proandicus pajori; (D) Megascolecidae: Amynthas aeruginosus.
Fig. 9 in An annotated key separating foreign earthworm species from the indigenous South African taxa (Oligochaeta: Acanthodrilidae, Eudrilidae, Glossoscolecidae, Lumbricidae, Megascolecidae, Microchaetidae, Ocnerodrilidae and Tritogeniidae)
Fig. 9. Setal arrangements: (A –C) lumbricine arrangement: (A) closely paired; (B) widely paired; (C) separated in eight rows; (D) perichaetine arrangement.
Fig. 6 in An annotated key separating foreign earthworm species from the indigenous South African taxa (Oligochaeta: Acanthodrilidae, Eudrilidae, Glossoscolecidae, Lumbricidae, Megascolecidae, Microchaetidae, Ocnerodrilidae and Tritogeniidae)
Fig. 6. Prostates: (A) (schematic) racemose = lobular (Amynthas sp.) Megascolecidae; (B) tubular (Udeina adriani) Acanthodrilinae.
Fig. 8 in An annotated key separating foreign earthworm species from the indigenous South African taxa (Oligochaeta: Acanthodrilidae, Eudrilidae, Glossoscolecidae, Lumbricidae, Megascolecidae, Microchaetidae, Ocnerodrilidae and Tritogeniidae)
Fig. 8. Segmentation: (A) Secondary annulation: an anterior part of Microchaetus papillatus (Microchaetidae) showing intersegmental furrows separating segments, marked by nephridial pores of holoic nephridia; (B–C) simple: (B) Eudrilus eugeniae (Eudrilidae); (C) Aporrectodea trapezoides (Lumbricidae) showing tubercula pubertatis and male pore with tumescens.
Fig. 4 in An annotated key separating foreign earthworm species from the indigenous South African taxa (Oligochaeta: Acanthodrilidae, Eudrilidae, Glossoscolecidae, Lumbricidae, Megascolecidae, Microchaetidae, Ocnerodrilidae and Tritogeniidae)
Fig. 4. (A) Megascolecine arrangement (schematic): one pair of prostatic pores (tubular or lobular = racemose) in segment 18 and male pores in 18. Spermathecal pores may occur in some of the intersegmental furrows 4/5 – 8/9; (B) Amynthas sp. (Megascolecidae).
Fig. 3 in An annotated key separating foreign earthworm species from the indigenous South African taxa (Oligochaeta: Acanthodrilidae, Eudrilidae, Glossoscolecidae, Lumbricidae, Megascolecidae, Microchaetidae, Ocnerodrilidae and Tritogeniidae)
Fig. 3. Microscolecine arrangement, schematic: one pair of prostatic pores in 17 or 19, male pores may occur in segment 17 or 18, or be absent; spermathecal pores may be single pair with pores in 7/8 or 8/9, or two pairs in 7/8 and 8/9, or absent.
Reconstitution of phase-separated signaling clusters and actin polymerization on supported lipid bilayers
<p>Liquid–liquid phase separation driven by weak interactions between multivalent molecules contributes to the cellular organization by promoting the formation of biomolecular condensates. At membranes, phase separation can promote the assembly of transmembrane proteins with their cytoplasmic binding partners into micron-sized membrane-associated condensates. For example, phase separation promotes clustering of nephrin, a transmembrane adhesion molecule, resulting in increased Arp2/3 complex-dependent actin polymerization. In vitro reconstitution is a powerful approach to understanding phase separation in biological systems. With a bottom-up approach, we can determine the molecules necessary and sufficient for phase separation, map the phase diagram by quantifying de-mixing over a range of molecular concentrations, assess the material properties of the condensed phase using fluorescence recovery after photobleaching (FRAP), and even determine how phase separation impacts downstream biochemical activity. Here, we describe a detailed protocol to reconstitute nephrin clusters on supported lipid bilayers with purified recombinant protein. We also describe how to measure Arp2/3 complex-dependent actin polymerization on bilayers using fluorescence microscopy. These different protocols can be performed independently or combined as needed. These general techniques can be applied to reconstitute and study phase-separated signaling clusters of many different receptors or to generally understand how actin polymerization is regulated at membranes.</p>
MedleyVox: An Evaluation Dataset for Multiple Singing Voices Separation
<p>MedleyVox is an evaluation dataset for multiple singing voices separation, which consists of 381 segments (1.1hour), containing 23 songs from MedleyDB v1 and v2 (https://medleydb.weebly.com).</p> <p> </p> <p>MedleyVox contains 1) unison, 2) duet, 3) main vs. rest (folder name 'rest') , and 4) N-singing ('unison' + 'duet' + 'rest', please check our dataloader code for N-singing in https://github.com/jeonchangbin49/MedleyVox/blob/main/svs/data/test_dataset.py) categories explained in our ICASSP 2023 paper. For more details, please check our paper (https://arxiv.org/pdf/2211.07302.pdf) and code repository (https://github.com/jeonchangbin49/MedleyVox).</p> <p> </p> <p>Acknowledgment</p> <p>We are grateful to Rachel Bittner, the author of the original MedleyDB data, for allowing us to publish the MedleyVox dataset.</p> <p> </p> <p>License</p> <p>This work is licensed under a <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.</p>
Figure 5 in Trapping Pestiferous Fruit Flies (Diptera: Tephritidae): Additional Studies on the Performance of Solid Bactrocera Male Lures and Separate Insecticidal Strips Relative to Standard Liquid Lures
Figure 5. Captures of Bactrocera cucurbitae males in traps baited with toxicants of variable age. Data for DDVP strips weathered in Arizona and Florida are given in top and bottom plots, respectively. While toxicant age varied among treatments, the lure was fresh (no weathering) in all treatments. All traps were baited with fresh liquid CL, except the Fresh DDVP treatment which employed a fresh CL plug. Height of bar represents mean number of males captured per trap (n = 15 traps per treatment) in a 24-h period; error bars are + 1 SE. No significant variation existed among treatments for either Arizona (F = 2.5, P = 0.07) or Florida (F = 0.5, P = 0.66). Bars sharing a letter did not differ significantly (P> 0.05).
Figure 1 in Trapping Pestiferous Fruit Flies (Diptera: Tephritidae): Additional Studies on the Performance of Solid Bactrocera Male Lures and Separate Insecticidal Strips Relative to Standard Liquid Lures
Figure 1. (A) CL plug contained in two face-to-face perforated baskets along with Plato strip (red object). (B) ME wafer with plastic basket holding DDVP strip affixed. Photos show the lures and DDVP strips only, and when deployed in the field, these were housed in Jackson traps.
Figure 3 in Trapping Pestiferous Fruit Flies (Diptera: Tephritidae): Additional Studies on the Performance of Solid Bactrocera Male Lures and Separate Insecticidal Strips Relative to Standard Liquid Lures
Figure 3. Captures of Bactrocera dorsalis males in traps baited with toxicants of variable age. Data for DDVP strips weathered in Arizona and Florida are given in top and bottom plots, respectively. While toxicant age varied among treatments, the lure was fresh (no weathering) in all treatments. All traps were baited with fresh liquid ME, except the Fresh DDVP treatment which employed a fresh ME wafer. Height of bar represents mean number of males captured per trap (n = 15 traps per treatment) in a 24-h period; error bars are + 1 SE. Significant variation existed among treatments for Arizona (F = 3.7, P = 0.02) but not for Florida (H = 1.8, P = 0.61); bars sharing a letter did not differ significantly (P> 0.05).
Figure 2 in Trapping Pestiferous Fruit Flies (Diptera: Tephritidae): Additional Studies on the Performance of Solid Bactrocera Male Lures and Separate Insecticidal Strips Relative to Standard Liquid Lures
Figure 2. Captures of Bactrocera dorsalis males in traps baited with ME lures of variable age. Data for wafers weathered in Arizona and Florida are given in top and bottom plots, respectively. While lure age varied among treatments, the toxicant was fresh (no weathering) in all treatments. Liquid was applied to a cotton wick; in all other cases ME was presented in a polymeric wafer. Height of bar represents mean number of males captured per trap (n = 15 traps per treatment) in a 24-h period; error bars are + 1 SE. Significant variation existed among treatments for both Arizona (F = 10.5, P <0.001) and Florida (F = 11.0, P <0.001); bars sharing a letter did not differ significantly (P> 0.05).
Figure 4 in Trapping Pestiferous Fruit Flies (Diptera: Tephritidae): Additional Studies on the Performance of Solid Bactrocera Male Lures and Separate Insecticidal Strips Relative to Standard Liquid Lures
Figure 4. Captures of Bactrocera cucurbitae males in traps baited with CL lures of variable age. Data for CL plugs weathered in Arizona and Florida are given in top and bottom plots, respectively. While lure age varied among treatments, the toxicant was fresh (no weathering) in all treatments. Liquid was applied to a cotton wick; in all other cases CL was presented in a polymeric plug. Height of bar represents mean number of males captured per trap (n = 15 traps per treatment) in a 24-h period; error bars are + 1 SE. No significant variation existed among treatments for either Arizona (F = 0.5, P = 0.65) or Florida (F = 1.9, P = 0.15). Bars sharing a letter did not differ significantly (P> 0.05).
Data and toolkit for: SoundScape learning: An automatic method for separating fish chorus in marine soundscapes
<p class="MsoNormal">Marine soundscapes provide the opportunity to non-invasively learn about, monitor, and conserve ecosystems. Some fishes produce sound in chorus, often in association with mating, and there is much to learn about fish choruses and the species producing them. Manually analyzing years of acoustic data is increasingly unfeasible, and is especially challenging with fish chorus, as multiple fish choruses can co-occur in time and frequency and can overlap with vessel noise and other transient sounds. SoundScape Learning (SSL) is a novel unsupervised automated method, to separate fish chorus from soundscape. SSL is an integrated technique that makes use of randomized robust principal component analysis (RRPCA), unsupervised clustering, and a neural network. SSL was applied to 14 recording locations off southern and central California and was able to detect a single fish chorus of interest in 5.3 yrs of acoustically diverse soundscapes. Through application of SSL, the chorus of interest was found to be nocturnal, increased in intensity at sunset and sunrise, and was seasonally present from late Spring to late Fall. Further application of SSL will improve understanding of fish behavior, essential habitat, species distribution, and potential human and climate change impacts, and thus allow for protection of vulnerable fish species. This repository provides example data and code for the JASA paper: <em><span>SoundScape Learning: an automatic method for separating fish chorus in marine soundscapes.</span></em></p>
Data for: Cdt1 inhibits CMG helicase in early S phase to separate origin licensing from DNA synthesis
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Data from: Iridescence untwined - Honey bees can separate hue variations in space and time
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LipidQuant 1.0: Automated data processing in lipid class separation - mass spectrometry quantitative workflows
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Further evidence from common garden rearing experiments of heritable traits separating lean and siscowet lake charr (Salvelinus namaycush) ecotypes
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Reconstitution of phase-separated signaling clusters and actin polymerization on supported lipid bilayers
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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.