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FIGURE 2 in Taxonomic note on four poorly known Arizona Eupithecia Curtis (Lepidoptera: Geometridae: Eupitheciini)
FIGURE 2. Eupithecia holotype males (MCZ). a, biedermanata; b, miamata.
FIGURE 15 in Taxonomic note on four poorly known Arizona Eupithecia Curtis (Lepidoptera: Geometridae: Eupitheciini)
FIGURE 15. Eupithecia penumbrata female holotype and pin labels (AMNH).
FIGURE 8. Eupithecia biedermanata aedoeagii variation. a – c in Taxonomic note on four poorly known Arizona Eupithecia Curtis (Lepidoptera: Geometridae: Eupitheciini)
FIGURE 8. Eupithecia biedermanata aedoeagii variation. a – c, Arizona, Cochise Co.; d, Coconino Co.
FIGURE 5 in Taxonomic note on four poorly known Arizona Eupithecia Curtis (Lepidoptera: Geometridae: Eupitheciini)
FIGURE 5. Eupithecia miamata males (AMNH). a, b, with same data; c, pin labels for adult in a.
Source Data and Scripts - Reconstitution of Human Brain Cell Diversity in Organoids via Four Protocols
<p>Source data and scripts associated with the manuscript "<em>Reconstitution of Human Brain Cell Diversity in Organoids via Four Protocols</em>" (Naas et al. 2024, <em>bioRxiv</em>, <a href="https://doi.org/10.1101/2024.11.15.623576" rel="nofollow">DOI: 10.1101/2024.11.15.623576</a>). Corresponding scripts to reproduce all figures and tables presented in the manuscript are also available on <a href="https://github.com/jn-goe/brain_organoids_four_protocols">https://github.com/jn-goe/brain_organoids_four_protocols</a>.</p> <div> <div> <p>The therein introduced NEST-Score is available as R package on <a href="https://github.com/jn-goe/NESTScore">https://github.com/jn-goe/NESTScore</a>.</p> <p>The interactive Shiny App data explorer is available on <a href="https://vienna-brain-organoid-explorer.vbc.ac.at/">https://vienna-brain-organoid-explorer.vbc.ac.at</a>.</p> </div> </div>
Daily market capitalization values of four stablecoins (USDT, USTC, DAI, FRAX)
<p>Data source provider Gecko Labs Pte. Ltd., 101 Upper Cross Street, #05-16 People's Park Centre, Singapore 058357.</p>
Data from: Climatic effects on the synchrony and stability of temperate headwater invertebrates over four decades
<p class="MsoNormal"><span>Important clues about the ecological effects of climate change can arise from understanding the influence of other Earth-system processes on ecosystem dynamics but few studies span the inter-decadal timescales required. We, therefore, examined how variation in annual weather patterns associated with the North Atlantic Oscillation (NAO) over four decades was linked to synchrony and stability in a metacommunity of stream invertebrates across multiple, contrasting headwaters in central Wales (UK).</span></p> <p class="MsoNormal"><span>Prolonged warmer and wetter conditions during positive NAO winters appeared to synchronise variations in population and community composition among and within streams thereby reducing stability across levels of ecological organisation. This climatically-mediated synchronisation occurred in all streams irrespective of acid-base status and land use, but was weaker where invertebrate communities were more functionally diverse. Wavelet linear models indicated that variation in the NAO explained up to 50% of overall synchrony in species abundances at a timescale of<span> 4-6 years. The NAO </span>appeared to affect ecological dynamics through local variations in temperature, precipitation and discharge, but increasing hydrochemical variability across sites during wetter winters might have contributed. </span></p> <p class="MsoNormal"><span>Our findings illustrate how large-scale climatic fluctuations generated over the North Atlantic can affect population persistence and dynamics in inland freshwater ecosystems in ways that transcend local catchment character. Protecting and restoring functional diversity in stream communities might increase their stability against warmer, wetter conditions that are analogues of ongoing climate change. Catchment management could also dampen impacts and provide options for climate change adaptation.</span></p>
Phase-contrast time-lapse recordings of four bacterial species growing in microfluidic microtraps
<p>This dataset and software accompany the article <a href="https://doi.org/10.1371/journal.pcbi.1011181">"Label-free deep learning based species classification of bacteria imaged by phase-contrast microscopy"</a> for reproducing the results. The study applies deep-learning based image and video models for species classification of the bacteria <em>Enterococcus faecalis</em>, <em>Escherichia coli</em>, <em>Klebsiella pneumoniae</em>, and <em>Pseudomonas aeruginosa</em> growing in microfluidic chip traps.</p>
Fig. 23. Reticulograptus thomasi n in Dendroid and Tuboid Graptolites from the Llandovery (Silurian) of the Four Mile Creek Area, New South Wales
Fig. 23. Reticulograptus thomasi n.sp., AM F114756, holotype, BF28. Scale bar 1 mm.
Fig. 2 in Dendroid and Tuboid Graptolites from the Llandovery (Silurian) of the Four Mile Creek Area, New South Wales
Fig. 2. Dendroid graptolite localities on the Bridge Creek sections.
Fig. 1 in Dendroid and Tuboid Graptolites from the Llandovery (Silurian) of the Four Mile Creek Area, New South Wales
Fig. 1. Location map of the Bridge Creek area of southeastern Australia.
Fig. 8 in A revision of Geostiba of the Western Palaearctic region. XX. Four new species from Turkey and Albania, and additional
Fig. 8: Type locality of G. devia nov.sp.
Fig. 10 in Four new species and additional records of Staphylinidae from Spain (Insecta: Coleoptera)
Fig. 10: Type locality of Paratyphlus espunae nov.sp.
Fig. 21 in Four new species and additional records of Geostiba from Turkey and Crete, and a new synonymy (Coleoptera: Staphylinidae: Aleocharinae)
Fig. 21: Type locality of Geostiba atrioculata nov.sp.
Fig. 35 in Four new species and additional records of Geostiba from Turkey and Crete, and a new synonymy (Coleoptera: Staphylinidae: Aleocharinae)
Fig. 35: Type locality of Geostiba albimontis nov.sp. (photo: M. Schülke).
Fig. 9 in Four new species and additional records of Geostiba from Turkey and Crete, and a new synonymy (Coleoptera: Staphylinidae: Aleocharinae)
Fig. 9: Type locality of Geostiba janbellini nov.sp.
Dataset from Lagrangian bio-optical drifters during four experiments in coastal and open ocean waters
Open the record for dataset details and reuse information.
A large and diverse brain organoid dataset of 1,400 cross-laboratory images of 64 trackable brain organoids from four different clones
<p>This dataset is presented in the paper <strong><span>A large and diverse brain organoid dataset of 1,400 cross-laboratory images of 64 trackable brain organoids from four different clones</span></strong></p> <p> </p> <p>This dataset encompasses two sources of data:</p> <ol> <li>A comma-separated values ('CSV') file. This file serves as a key to our dataset with one image per row. Each image is represented by its image identifier ('img_id') with the format [org_id]_[clone]_d[imaging_day]_[imaging_lab]. For each image, the CSV file also specifies the organoid size for convenience. Alternatively, the organoid size can be calculated using the ground truth organoid segmentation (org_segGT). </li> <li>For each row of the CSV file, we provide the image and org_segGT. For Lab A, the images are in JPEG format. For lab B, the images are in TIF format. Org_segGT is a manually created binary 2D NumPy array with the same size as the image (1024 x 768 for lab A, 1388 x 1040 for lab B). A value of 1 in org_segGT at position (x, y) means that the same position (x, y) in the corresponding image is covered by the organoid. The image file and the org_segGT file have the following format: [img_id].[jpg|tif] and [img_id].npy. For day 12, organoids were imaged before and after embedding from 96-well plates in 12-well plates, allowing the investigation of well-specific optical properties.</li> </ol> <p>For segmentation and growth monitoring using this dataset, please see <a href="https://github.com/deiluca/robust_monitoring_organoid_growth">https://github.com/deiluca/robust_monitoring_organoid_growth</a>.</p>
Reassessment of Amblyscirtes hegon (Hesperiidae) as a complex of four distinct species revealed by genomic analysis
<p>After the discovery of a unique phenotype in the southern United States with a different ventral ground color than nominotypical <i>Amblyscirtes hegon</i> (Scudder, 1863), which occurs in the northeastern United States, genomic analysis revealed that <i>A. hegon</i> is a species complex. Phenotypic, genitalic, and genomic differences of the complex are presented here. Four species are identified: <i>A. hegon; A. nemoris</i> (W. H. Edwards, 1864), stat. rest.; <i>A. matheri</i> Patterson, Pavulaan & Grishin, sp. n. (TL: USA, Mississippi, Warren Co.); and <i>A. gelidus</i> Grishin, Patterson & Pavulaan, sp. n. (TL: USA, Michigan, Van Buren Co.).</p>
Data from "Elevation affects both the occurrence of ungulate browsing and its effect on tree seedling growth for four major tree species in European mountain forests"
<p>This repository contains the field data used in the paper from Bernard et al. on the interactive effect of elevation and ungulate browsing on tree regeneration. This dataset is associated with a github repository containing the code to run the analyses of the paper, publicly available at https://github.com/jbarrere3/BaccaraPaper. </p><p> </p><p>Data were collected for the Baccara project, by Elena Granda, Raquel Benavides, Sonia Rabasa, Georges Kunstler, and Marco Heurich. </p>
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.